Cyclistic Bikeshare data analysis for designing a marketing  strategy Using R .ipynb

{"metadata":{"kernelspec":{"display_name":"R","language":"R","name":"ir"},"language_info":{"name":"R","codemirror_mode":"r","pygments_lexer":"r","mimetype":"text/x-r-source","file_extension":".r","version":"4.0.5"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"#### **1) INTRODUCTION:**\n* This is my capstone project for the google data analytics                  professional certificate course in coursera. \n* Here i am given a fictional  cyclistic bikeshare company, but the data is the replica of a very similar real world comapany though the data is not accurate due to privacy policy issues.\n* I am going to follow the analysis steps which i was learned in this course. \n* The 6 step analysis process are;\n    + Ask\n    + Prepare\n    + Process\n    + Analyse\n    + Share\n    + Act\n","metadata":{"_uuid":"838df354-f756-47ca-81a5-febaa0c9ec88","_cell_guid":"d084ce50-9f43-4a50-a629-a7b42bc9ab1d","jupyter":{"outputs_hidden":false}}},{"cell_type":"markdown","source":"#### **2) ASK:**\n    \n+ **Buisness Task:**\n    - As per the financial analyst team increasing the membership riders        will be best for the future growth  of our company rather than            increasing the  casual riders \n    - So  the main objective of this analysis is to help the maeketing team       to come up with a marketing strategy for converting the casual riders       into an annual membership riders\n+ **Key stakeholders:**\n    - Cyclistic Riders\n    - Lily moreno- marketing director and manager\n    - Cyclistic marketing team\n    - Cyclistic executive team\n+ **Deliverable:**\n    - My task is to identify  how the casual riders are different from           membership riders\n\n<br>","metadata":{}},{"cell_type":"markdown","source":"#### **3) PREPARE AND PROCESS :** \n\nI am doing the prepare and process phase of this analysis simultaneously together. Because either way as i move on ,i will overlap these two phases so to avoid any further confusions i am doing it together.\n\n* **Data source:**\n    + The data i am using in this analysis is downloaded from this [tripdata webiste](https://divvy-tripdata.s3.amazonaws.com/index.html)\n\n* **Data stored format:**\n    +  The data was stored in the csv(comma separated values) format.\n\n* **Data filtered:**\n    + I am using the last 12 months data from Jan 2022 - Dec 2022\n  \n* **Data integrity and credibility(**ROCCC**):**\n    + The data has been made available by Motivate International Inc. under this [license](https://ride.divvybikes.com/data-license-agreement).\n    +  The data is not completely ROCCC because we are using the proxy data for this fictional company but it is almost ROCCC, it is                   **reliable**, since it is **proxy** it is similar to **original** ,        **not comphrehensive** but it is **enough** to make our analysis, it       is **current** and it is **cited** \n\n* **Data limitations:**\n    + This is public data that we can use to explore how different customer   types are using Cyclistic bikes. \n    + But note that data-privacy issues prohibit us from using riders’           personally identifiable information.  \n    + so i won’t be able to connect pass purchases to credit card numbers        to determine if casual riders live in the Cyclistic service area or        if they have purchased multiple single passes.\n* **Tools used:**\n    + I am using R programming for this analysis as it is more efficient         and statistically friendly tool to do our anlaysis.\n\n##### **a) DATA ACQUISTION :**\n* Installing and loading the required packages for doing the data            cleaning,   data manipulation , data analysis and data visualization.\n","metadata":{}},{"cell_type":"code","source":"install.packages(\"tidyverse\")\nlibrary(tidyverse)","metadata":{"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-04-01T07:07:50.299592Z","iopub.execute_input":"2023-04-01T07:07:50.300982Z","iopub.status.idle":"2023-04-01T07:07:59.046169Z"},"trusted":true},"execution_count":62,"outputs":[{"name":"stderr","text":"Installing package into ‘/usr/local/lib/R/site-library’\n(as ‘lib’ is unspecified)\n\n","output_type":"stream"}]},{"cell_type":"code","source":"library(lubridate)\nlibrary(readr)\nlibrary(readxl)\nlibrary(dplyr)\nlibrary(ggplot2)\ninstall.packages(\"janitor\")\nlibrary(janitor)\ninstall.packages(\"skimr\")\nlibrary(skimr)","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:07:59.048287Z","iopub.execute_input":"2023-04-01T07:07:59.049351Z","iopub.status.idle":"2023-04-01T07:08:16.018615Z"},"trusted":true},"execution_count":63,"outputs":[{"name":"stderr","text":"Installing package into ‘/usr/local/lib/R/site-library’\n(as ‘lib’ is unspecified)\n\nInstalling package into ‘/usr/local/lib/R/site-library’\n(as ‘lib’ is unspecified)\n\n","output_type":"stream"}]},{"cell_type":"markdown","source":"##### **b) IMPORTING THE FILES:**\n\n* Now i  want to access the package, so i am  using the read_csv\n function from read_r to import it we can also use the files tab in 4th     pane to import it and  in some cases we  can also use read_xl for excel    files.","metadata":{}},{"cell_type":"code","source":"Jan_2022 = read_csv(\"/kaggle/input/cyclstic-bikeshare-data-jan2022-ec2022/202201-divvy-tripdata.csv\")\nFeb_2022 = read_csv(\"/kaggle/input/cyclstic-bikeshare-data-jan2022-ec2022/202202-divvy-tripdata.csv\")\nMar_2022 = read_csv(\"/kaggle/input/cyclstic-bikeshare-data-jan2022-ec2022/202203-divvy-tripdata.csv\")\nApr_2022 = read_csv(\"/kaggle/input/cyclstic-bikeshare-data-jan2022-ec2022/202204-divvy-tripdata.csv\")\nMay_2022 = read_csv(\"/kaggle/input/cyclstic-bikeshare-data-jan2022-ec2022/202205-divvy-tripdata.csv\")\nJun_2022 = read_csv(\"/kaggle/input/cyclstic-bikeshare-data-jan2022-ec2022/202206-divvy-tripdata.csv\")\nJul_2022 = read_csv(\"/kaggle/input/cyclstic-bikeshare-data-jan2022-ec2022/202207-divvy-tripdata.csv\")\nAug_2022 = read_csv(\"/kaggle/input/cyclstic-bikeshare-data-jan2022-ec2022/202208-divvy-tripdata.csv\")\nSep_2022 = read_csv(\"/kaggle/input/cyclstic-bikeshare-data-jan2022-ec2022/202209-divvy-publictripdata.csv\")\nOct_2022 = read_csv(\"/kaggle/input/cyclstic-bikeshare-data-jan2022-ec2022/202210-divvy-tripdata.csv\")\nNov_2022 = read_csv(\"/kaggle/input/cyclstic-bikeshare-data-jan2022-ec2022/202211-divvy-tripdata.csv\")\nDec_2022 = read_csv(\"/kaggle/input/cyclstic-bikeshare-data-jan2022-ec2022/202212-divvy-tripdata.csv\")","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:08:16.022096Z","iopub.execute_input":"2023-04-01T07:08:16.023627Z","iopub.status.idle":"2023-04-01T07:08:27.655499Z"},"trusted":true},"execution_count":64,"outputs":[{"name":"stderr","text":"\u001b[1mRows: \u001b[22m\u001b[34m103770\u001b[39m \u001b[1mColumns: \u001b[22m\u001b[34m13\u001b[39m\n\u001b[36m──\u001b[39m \u001b[1mColumn specification\u001b[22m \u001b[36m────────────────────────────────────────────────────────\u001b[39m\n\u001b[1mDelimiter:\u001b[22m \",\"\n\u001b[31mchr\u001b[39m  (7): ride_id, rideable_type, start_station_name, start_station_id, end_...\n\u001b[32mdbl\u001b[39m  (4): start_lat, start_lng, end_lat, end_lng\n\u001b[34mdttm\u001b[39m (2): started_at, ended_at\n\n\u001b[36mℹ\u001b[39m Use `spec()` to retrieve the full column specification for this data.\n\u001b[36mℹ\u001b[39m Specify the column types or set `show_col_types = FALSE` to quiet this message.\n\u001b[1mRows: \u001b[22m\u001b[34m115609\u001b[39m \u001b[1mColumns: \u001b[22m\u001b[34m13\u001b[39m\n\u001b[36m──\u001b[39m \u001b[1mColumn specification\u001b[22m \u001b[36m────────────────────────────────────────────────────────\u001b[39m\n\u001b[1mDelimiter:\u001b[22m \",\"\n\u001b[31mchr\u001b[39m  (7): ride_id, rideable_type, start_station_name, start_station_id, end_...\n\u001b[32mdbl\u001b[39m  (4): start_lat, start_lng, end_lat, end_lng\n\u001b[34mdttm\u001b[39m (2): started_at, ended_at\n\n\u001b[36mℹ\u001b[39m Use `spec()` to retrieve the full column specification for this data.\n\u001b[36mℹ\u001b[39m Specify the column types or set `show_col_types = FALSE` to quiet this message.\n\u001b[1mRows: \u001b[22m\u001b[34m284042\u001b[39m \u001b[1mColumns: \u001b[22m\u001b[34m13\u001b[39m\n\u001b[36m──\u001b[39m \u001b[1mColumn specification\u001b[22m \u001b[36m────────────────────────────────────────────────────────\u001b[39m\n\u001b[1mDelimiter:\u001b[22m \",\"\n\u001b[31mchr\u001b[39m  (7): ride_id, rideable_type, start_station_name, start_station_id, end_...\n\u001b[32mdbl\u001b[39m  (4): start_lat, start_lng, end_lat, end_lng\n\u001b[34mdttm\u001b[39m (2): started_at, ended_at\n\n\u001b[36mℹ\u001b[39m Use `spec()` to retrieve the full column specification for this data.\n\u001b[36mℹ\u001b[39m Specify the column types or set `show_col_types = FALSE` to quiet this message.\n\u001b[1mRows: \u001b[22m\u001b[34m371249\u001b[39m \u001b[1mColumns: \u001b[22m\u001b[34m13\u001b[39m\n\u001b[36m──\u001b[39m \u001b[1mColumn specification\u001b[22m \u001b[36m────────────────────────────────────────────────────────\u001b[39m\n\u001b[1mDelimiter:\u001b[22m \",\"\n\u001b[31mchr\u001b[39m  (7): ride_id, rideable_type, start_station_name, start_station_id, end_...\n\u001b[32mdbl\u001b[39m  (4): start_lat, start_lng, end_lat, end_lng\n\u001b[34mdttm\u001b[39m (2): started_at, ended_at\n\n\u001b[36mℹ\u001b[39m Use `spec()` to retrieve the full column specification for this data.\n\u001b[36mℹ\u001b[39m Specify the column types or set `show_col_types = FALSE` to quiet this message.\n\u001b[1mRows: \u001b[22m\u001b[34m634858\u001b[39m \u001b[1mColumns: \u001b[22m\u001b[34m13\u001b[39m\n\u001b[36m──\u001b[39m \u001b[1mColumn specification\u001b[22m \u001b[36m────────────────────────────────────────────────────────\u001b[39m\n\u001b[1mDelimiter:\u001b[22m \",\"\n\u001b[31mchr\u001b[39m  (7): ride_id, rideable_type, start_station_name, start_station_id, end_...\n\u001b[32mdbl\u001b[39m  (4): start_lat, start_lng, end_lat, end_lng\n\u001b[34mdttm\u001b[39m (2): started_at, ended_at\n\n\u001b[36mℹ\u001b[39m Use `spec()` to retrieve the full column specification for this data.\n\u001b[36mℹ\u001b[39m Specify the column types or set `show_col_types = FALSE` to quiet this message.\n\u001b[1mRows: \u001b[22m\u001b[34m769204\u001b[39m \u001b[1mColumns: \u001b[22m\u001b[34m13\u001b[39m\n\u001b[36m──\u001b[39m \u001b[1mColumn specification\u001b[22m \u001b[36m────────────────────────────────────────────────────────\u001b[39m\n\u001b[1mDelimiter:\u001b[22m \",\"\n\u001b[31mchr\u001b[39m  (7): ride_id, rideable_type, start_station_name, start_station_id, end_...\n\u001b[32mdbl\u001b[39m  (4): start_lat, start_lng, end_lat, end_lng\n\u001b[34mdttm\u001b[39m (2): started_at, ended_at\n\n\u001b[36mℹ\u001b[39m Use `spec()` to retrieve the full column specification for this data.\n\u001b[36mℹ\u001b[39m Specify the column types or set `show_col_types = FALSE` to quiet this message.\n\u001b[1mRows: \u001b[22m\u001b[34m823488\u001b[39m \u001b[1mColumns: \u001b[22m\u001b[34m13\u001b[39m\n\u001b[36m──\u001b[39m \u001b[1mColumn specification\u001b[22m \u001b[36m────────────────────────────────────────────────────────\u001b[39m\n\u001b[1mDelimiter:\u001b[22m \",\"\n\u001b[31mchr\u001b[39m  (7): ride_id, rideable_type, start_station_name, start_station_id, end_...\n\u001b[32mdbl\u001b[39m  (4): start_lat, start_lng, end_lat, end_lng\n\u001b[34mdttm\u001b[39m (2): started_at, ended_at\n\n\u001b[36mℹ\u001b[39m Use `spec()` to retrieve the full column specification for this data.\n\u001b[36mℹ\u001b[39m Specify the column types or set `show_col_types = FALSE` to quiet this message.\n\u001b[1mRows: \u001b[22m\u001b[34m785932\u001b[39m \u001b[1mColumns: \u001b[22m\u001b[34m13\u001b[39m\n\u001b[36m──\u001b[39m \u001b[1mColumn specification\u001b[22m \u001b[36m────────────────────────────────────────────────────────\u001b[39m\n\u001b[1mDelimiter:\u001b[22m \",\"\n\u001b[31mchr\u001b[39m  (7): ride_id, rideable_type, start_station_name, start_station_id, end_...\n\u001b[32mdbl\u001b[39m  (4): start_lat, start_lng, end_lat, end_lng\n\u001b[34mdttm\u001b[39m (2): started_at, ended_at\n\n\u001b[36mℹ\u001b[39m Use `spec()` to retrieve the full column specification for this data.\n\u001b[36mℹ\u001b[39m Specify the column types or set `show_col_types = FALSE` to quiet this message.\n\u001b[1mRows: \u001b[22m\u001b[34m701339\u001b[39m \u001b[1mColumns: \u001b[22m\u001b[34m13\u001b[39m\n\u001b[36m──\u001b[39m \u001b[1mColumn specification\u001b[22m \u001b[36m────────────────────────────────────────────────────────\u001b[39m\n\u001b[1mDelimiter:\u001b[22m \",\"\n\u001b[31mchr\u001b[39m  (7): ride_id, rideable_type, start_station_name, start_station_id, end_...\n\u001b[32mdbl\u001b[39m  (4): start_lat, start_lng, end_lat, end_lng\n\u001b[34mdttm\u001b[39m (2): started_at, ended_at\n\n\u001b[36mℹ\u001b[39m Use `spec()` to retrieve the full column specification for this data.\n\u001b[36mℹ\u001b[39m Specify the column types or set `show_col_types = FALSE` to quiet this message.\n\u001b[1mRows: \u001b[22m\u001b[34m558685\u001b[39m \u001b[1mColumns: \u001b[22m\u001b[34m13\u001b[39m\n\u001b[36m──\u001b[39m \u001b[1mColumn specification\u001b[22m \u001b[36m────────────────────────────────────────────────────────\u001b[39m\n\u001b[1mDelimiter:\u001b[22m \",\"\n\u001b[31mchr\u001b[39m  (7): ride_id, rideable_type, start_station_name, start_station_id, end_...\n\u001b[32mdbl\u001b[39m  (4): start_lat, start_lng, end_lat, end_lng\n\u001b[34mdttm\u001b[39m (2): started_at, ended_at\n\n\u001b[36mℹ\u001b[39m Use `spec()` to retrieve the full column specification for this data.\n\u001b[36mℹ\u001b[39m Specify the column types or set `show_col_types = FALSE` to quiet this message.\n\u001b[1mRows: \u001b[22m\u001b[34m337735\u001b[39m \u001b[1mColumns: \u001b[22m\u001b[34m13\u001b[39m\n\u001b[36m──\u001b[39m \u001b[1mColumn specification\u001b[22m \u001b[36m────────────────────────────────────────────────────────\u001b[39m\n\u001b[1mDelimiter:\u001b[22m \",\"\n\u001b[31mchr\u001b[39m  (7): ride_id, rideable_type, start_station_name, start_station_id, end_...\n\u001b[32mdbl\u001b[39m  (4): start_lat, start_lng, end_lat, end_lng\n\u001b[34mdttm\u001b[39m (2): started_at, ended_at\n\n\u001b[36mℹ\u001b[39m Use `spec()` to retrieve the full column specification for this data.\n\u001b[36mℹ\u001b[39m Specify the column types or set `show_col_types = FALSE` to quiet this message.\n\u001b[1mRows: \u001b[22m\u001b[34m181806\u001b[39m \u001b[1mColumns: \u001b[22m\u001b[34m13\u001b[39m\n\u001b[36m──\u001b[39m \u001b[1mColumn specification\u001b[22m \u001b[36m────────────────────────────────────────────────────────\u001b[39m\n\u001b[1mDelimiter:\u001b[22m \",\"\n\u001b[31mchr\u001b[39m  (7): ride_id, rideable_type, start_station_name, start_station_id, end_...\n\u001b[32mdbl\u001b[39m  (4): start_lat, start_lng, end_lat, end_lng\n\u001b[34mdttm\u001b[39m (2): started_at, ended_at\n\n\u001b[36mℹ\u001b[39m Use `spec()` to retrieve the full column specification for this data.\n\u001b[36mℹ\u001b[39m Specify the column types or set `show_col_types = FALSE` to quiet this message.\n","output_type":"stream"}]},{"cell_type":"markdown","source":"##### **c) CHECKING THE CONSISTENCY OF THE FILES:**\n * Now we want to combine all the files into a single dataset for             processing the data for analysis. Before combining we want  to ensure      that the data is consistent and clean .\n\n *  Here i am using colnames() function to make sure the coulumn names are     same through all the files.","metadata":{}},{"cell_type":"code","source":"\ncolnames(Jan_2022) == colnames(Feb_2022)","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:08:27.657950Z","iopub.execute_input":"2023-04-01T07:08:27.659015Z","iopub.status.idle":"2023-04-01T07:08:27.673961Z"},"trusted":true},"execution_count":65,"outputs":[{"output_type":"display_data","data":{"text/html":"<style>\n.list-inline {list-style: none; margin:0; padding: 0}\n.list-inline>li {display: inline-block}\n.list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n</style>\n<ol class=list-inline><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li></ol>\n","text/markdown":"1. TRUE\n2. TRUE\n3. TRUE\n4. TRUE\n5. TRUE\n6. TRUE\n7. TRUE\n8. TRUE\n9. TRUE\n10. TRUE\n11. TRUE\n12. TRUE\n13. TRUE\n\n\n","text/latex":"\\begin{enumerate*}\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\end{enumerate*}\n","text/plain":" [1] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE"},"metadata":{}}]},{"cell_type":"code","source":"colnames(Feb_2022) == colnames(Mar_2022)","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:08:27.677094Z","iopub.execute_input":"2023-04-01T07:08:27.678872Z","iopub.status.idle":"2023-04-01T07:08:27.694883Z"},"trusted":true},"execution_count":66,"outputs":[{"output_type":"display_data","data":{"text/html":"<style>\n.list-inline {list-style: none; margin:0; padding: 0}\n.list-inline>li {display: inline-block}\n.list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n</style>\n<ol class=list-inline><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li></ol>\n","text/markdown":"1. TRUE\n2. TRUE\n3. TRUE\n4. TRUE\n5. TRUE\n6. TRUE\n7. TRUE\n8. TRUE\n9. TRUE\n10. TRUE\n11. TRUE\n12. TRUE\n13. TRUE\n\n\n","text/latex":"\\begin{enumerate*}\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\end{enumerate*}\n","text/plain":" [1] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE"},"metadata":{}}]},{"cell_type":"code","source":"colnames(Mar_2022) == colnames(Apr_2022)","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:08:27.698053Z","iopub.execute_input":"2023-04-01T07:08:27.699708Z","iopub.status.idle":"2023-04-01T07:08:27.715511Z"},"trusted":true},"execution_count":67,"outputs":[{"output_type":"display_data","data":{"text/html":"<style>\n.list-inline {list-style: none; margin:0; padding: 0}\n.list-inline>li {display: inline-block}\n.list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n</style>\n<ol class=list-inline><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li></ol>\n","text/markdown":"1. TRUE\n2. TRUE\n3. TRUE\n4. TRUE\n5. TRUE\n6. TRUE\n7. TRUE\n8. TRUE\n9. TRUE\n10. TRUE\n11. TRUE\n12. TRUE\n13. TRUE\n\n\n","text/latex":"\\begin{enumerate*}\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\end{enumerate*}\n","text/plain":" [1] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE"},"metadata":{}}]},{"cell_type":"code","source":"colnames(Apr_2022) == colnames(May_2022)","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:08:27.718622Z","iopub.execute_input":"2023-04-01T07:08:27.720168Z","iopub.status.idle":"2023-04-01T07:08:27.735927Z"},"trusted":true},"execution_count":68,"outputs":[{"output_type":"display_data","data":{"text/html":"<style>\n.list-inline {list-style: none; margin:0; padding: 0}\n.list-inline>li {display: inline-block}\n.list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n</style>\n<ol class=list-inline><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li></ol>\n","text/markdown":"1. TRUE\n2. TRUE\n3. TRUE\n4. TRUE\n5. TRUE\n6. TRUE\n7. TRUE\n8. TRUE\n9. TRUE\n10. TRUE\n11. TRUE\n12. TRUE\n13. TRUE\n\n\n","text/latex":"\\begin{enumerate*}\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\end{enumerate*}\n","text/plain":" [1] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE"},"metadata":{}}]},{"cell_type":"code","source":"colnames(May_2022) == colnames(Jun_2022)","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:08:27.738910Z","iopub.execute_input":"2023-04-01T07:08:27.740348Z","iopub.status.idle":"2023-04-01T07:08:27.755315Z"},"trusted":true},"execution_count":69,"outputs":[{"output_type":"display_data","data":{"text/html":"<style>\n.list-inline {list-style: none; margin:0; padding: 0}\n.list-inline>li {display: inline-block}\n.list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n</style>\n<ol class=list-inline><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li></ol>\n","text/markdown":"1. TRUE\n2. TRUE\n3. TRUE\n4. TRUE\n5. TRUE\n6. TRUE\n7. TRUE\n8. TRUE\n9. TRUE\n10. TRUE\n11. TRUE\n12. TRUE\n13. TRUE\n\n\n","text/latex":"\\begin{enumerate*}\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\end{enumerate*}\n","text/plain":" [1] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE"},"metadata":{}}]},{"cell_type":"code","source":"\ncolnames(Jun_2022) == colnames(Jul_2022)","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:08:27.758240Z","iopub.execute_input":"2023-04-01T07:08:27.759694Z","iopub.status.idle":"2023-04-01T07:08:27.775058Z"},"trusted":true},"execution_count":70,"outputs":[{"output_type":"display_data","data":{"text/html":"<style>\n.list-inline {list-style: none; margin:0; padding: 0}\n.list-inline>li {display: inline-block}\n.list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n</style>\n<ol class=list-inline><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li></ol>\n","text/markdown":"1. TRUE\n2. TRUE\n3. TRUE\n4. TRUE\n5. TRUE\n6. TRUE\n7. TRUE\n8. TRUE\n9. TRUE\n10. TRUE\n11. TRUE\n12. TRUE\n13. TRUE\n\n\n","text/latex":"\\begin{enumerate*}\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\end{enumerate*}\n","text/plain":" [1] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE"},"metadata":{}}]},{"cell_type":"code","source":"\ncolnames(Jul_2022) == colnames(Aug_2022)","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:08:27.778011Z","iopub.execute_input":"2023-04-01T07:08:27.779456Z","iopub.status.idle":"2023-04-01T07:08:27.792037Z"},"trusted":true},"execution_count":71,"outputs":[{"output_type":"display_data","data":{"text/html":"<style>\n.list-inline {list-style: none; margin:0; padding: 0}\n.list-inline>li {display: inline-block}\n.list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n</style>\n<ol class=list-inline><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li></ol>\n","text/markdown":"1. TRUE\n2. TRUE\n3. TRUE\n4. TRUE\n5. TRUE\n6. TRUE\n7. TRUE\n8. TRUE\n9. TRUE\n10. TRUE\n11. TRUE\n12. TRUE\n13. TRUE\n\n\n","text/latex":"\\begin{enumerate*}\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\end{enumerate*}\n","text/plain":" [1] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE"},"metadata":{}}]},{"cell_type":"code","source":"\ncolnames(Aug_2022) == colnames(Sep_2022)","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:08:27.794114Z","iopub.execute_input":"2023-04-01T07:08:27.795144Z","iopub.status.idle":"2023-04-01T07:08:27.807682Z"},"trusted":true},"execution_count":72,"outputs":[{"output_type":"display_data","data":{"text/html":"<style>\n.list-inline {list-style: none; margin:0; padding: 0}\n.list-inline>li {display: inline-block}\n.list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n</style>\n<ol class=list-inline><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li></ol>\n","text/markdown":"1. TRUE\n2. TRUE\n3. TRUE\n4. TRUE\n5. TRUE\n6. TRUE\n7. TRUE\n8. TRUE\n9. TRUE\n10. TRUE\n11. TRUE\n12. TRUE\n13. TRUE\n\n\n","text/latex":"\\begin{enumerate*}\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\end{enumerate*}\n","text/plain":" [1] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE"},"metadata":{}}]},{"cell_type":"code","source":"colnames(Sep_2022) == colnames(Oct_2022)","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:08:27.809712Z","iopub.execute_input":"2023-04-01T07:08:27.810741Z","iopub.status.idle":"2023-04-01T07:08:27.822560Z"},"trusted":true},"execution_count":73,"outputs":[{"output_type":"display_data","data":{"text/html":"<style>\n.list-inline {list-style: none; margin:0; padding: 0}\n.list-inline>li {display: inline-block}\n.list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n</style>\n<ol class=list-inline><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li></ol>\n","text/markdown":"1. TRUE\n2. TRUE\n3. TRUE\n4. TRUE\n5. TRUE\n6. TRUE\n7. TRUE\n8. TRUE\n9. TRUE\n10. TRUE\n11. TRUE\n12. TRUE\n13. TRUE\n\n\n","text/latex":"\\begin{enumerate*}\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\end{enumerate*}\n","text/plain":" [1] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE"},"metadata":{}}]},{"cell_type":"code","source":"colnames(Oct_2022) == colnames(Nov_2022)","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:08:27.824516Z","iopub.execute_input":"2023-04-01T07:08:27.825532Z","iopub.status.idle":"2023-04-01T07:08:27.837673Z"},"trusted":true},"execution_count":74,"outputs":[{"output_type":"display_data","data":{"text/html":"<style>\n.list-inline {list-style: none; margin:0; padding: 0}\n.list-inline>li {display: inline-block}\n.list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n</style>\n<ol class=list-inline><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li></ol>\n","text/markdown":"1. TRUE\n2. TRUE\n3. TRUE\n4. TRUE\n5. TRUE\n6. TRUE\n7. TRUE\n8. TRUE\n9. TRUE\n10. TRUE\n11. TRUE\n12. TRUE\n13. TRUE\n\n\n","text/latex":"\\begin{enumerate*}\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\end{enumerate*}\n","text/plain":" [1] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE"},"metadata":{}}]},{"cell_type":"code","source":"\ncolnames(Nov_2022) == colnames(Dec_2022)","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:08:27.839761Z","iopub.execute_input":"2023-04-01T07:08:27.840772Z","iopub.status.idle":"2023-04-01T07:08:27.854068Z"},"trusted":true},"execution_count":75,"outputs":[{"output_type":"display_data","data":{"text/html":"<style>\n.list-inline {list-style: none; margin:0; padding: 0}\n.list-inline>li {display: inline-block}\n.list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n</style>\n<ol class=list-inline><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li><li>TRUE</li></ol>\n","text/markdown":"1. TRUE\n2. TRUE\n3. TRUE\n4. TRUE\n5. TRUE\n6. TRUE\n7. TRUE\n8. TRUE\n9. TRUE\n10. TRUE\n11. TRUE\n12. TRUE\n13. TRUE\n\n\n","text/latex":"\\begin{enumerate*}\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\item TRUE\n\\end{enumerate*}\n","text/plain":" [1] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE"},"metadata":{}}]},{"cell_type":"markdown","source":"##### **d) ENSURING THE FILES IS BINDABLE TOGETHER:**\n\n* As Column names are consistent , now we have to bind the data , as the     data elements or observations  we need to access are in rows before        binding we have to ensure or  inspect the rows data format is consistent   or not .\n","metadata":{}},{"cell_type":"code","source":"compare_df_cols_same(Jan_2022,Feb_2022,Mar_2022,Apr_2022,May_2022,Jun_2022,Jul_2022,Aug_2022,Sep_2022,\n                     Oct_2022,Nov_2022,Dec_2022, bind_method = c(\"bind_rows\",\"rbind\"), verbose = TRUE )","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:08:27.856086Z","iopub.execute_input":"2023-04-01T07:08:27.857195Z","iopub.status.idle":"2023-04-01T07:08:27.882175Z"},"trusted":true},"execution_count":76,"outputs":[{"output_type":"display_data","data":{"text/html":"TRUE","text/markdown":"TRUE","text/latex":"TRUE","text/plain":"[1] TRUE"},"metadata":{}}]},{"cell_type":"markdown","source":"##### **e) COMBINING THE MONTHLY FILES INTO ANNUAL DATA:**\n\n* As the Above result is true now we can bind the rows together .\ncombining the monthly datasets into a single annual dataset","metadata":{}},{"cell_type":"code","source":"trip_2022 = bind_rows(Jan_2022,Feb_2022,Mar_2022,Apr_2022,May_2022,Jun_2022,Jul_2022,Aug_2022,\n                      Sep_2022,Oct_2022,Nov_2022,Dec_2022)","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:08:27.884200Z","iopub.execute_input":"2023-04-01T07:08:27.885257Z","iopub.status.idle":"2023-04-01T07:08:28.562821Z"},"trusted":true},"execution_count":77,"outputs":[]},{"cell_type":"markdown","source":"##### **f) DATA WRANGLING AND DATA CLEANING:**\n* **structure of dataset:**\n    + Now i Have to process the data by data wrangling so to proceed with        we have to know the structure or Format of the dataset, How the data       elements are stored in it. By using he str we can get the detailed         preview of the dataset.\n","metadata":{}},{"cell_type":"code","source":"str(trip_2022)","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:08:28.565018Z","iopub.execute_input":"2023-04-01T07:08:28.566130Z","iopub.status.idle":"2023-04-01T07:08:28.602233Z"},"trusted":true},"execution_count":78,"outputs":[{"name":"stdout","text":"spc_tbl_ [5,667,717 × 13] (S3: spec_tbl_df/tbl_df/tbl/data.frame)\n $ ride_id           : chr [1:5667717] \"C2F7DD78E82EC875\" \"A6CF8980A652D272\" \"BD0F91DFF741C66D\" \"CBB80ED419105406\" ...\n $ rideable_type     : chr [1:5667717] \"electric_bike\" \"electric_bike\" \"classic_bike\" \"classic_bike\" ...\n $ started_at        : POSIXct[1:5667717], format: \"2022-01-13 11:59:47\" \"2022-01-10 08:41:56\" ...\n $ ended_at          : POSIXct[1:5667717], format: \"2022-01-13 12:02:44\" \"2022-01-10 08:46:17\" ...\n $ start_station_name: chr [1:5667717] \"Glenwood Ave & Touhy Ave\" \"Glenwood Ave & Touhy Ave\" \"Sheffield Ave & Fullerton Ave\" \"Clark St & Bryn Mawr Ave\" ...\n $ start_station_id  : chr [1:5667717] \"525\" \"525\" \"TA1306000016\" \"KA1504000151\" ...\n $ end_station_name  : chr [1:5667717] \"Clark St & Touhy Ave\" \"Clark St & Touhy Ave\" \"Greenview Ave & Fullerton Ave\" \"Paulina St & Montrose Ave\" ...\n $ end_station_id    : chr [1:5667717] \"RP-007\" \"RP-007\" \"TA1307000001\" \"TA1309000021\" ...\n $ start_lat         : num [1:5667717] 42 42 41.9 42 41.9 ...\n $ start_lng         : num [1:5667717] -87.7 -87.7 -87.7 -87.7 -87.6 ...\n $ end_lat           : num [1:5667717] 42 42 41.9 42 41.9 ...\n $ end_lng           : num [1:5667717] -87.7 -87.7 -87.7 -87.7 -87.6 ...\n $ member_casual     : chr [1:5667717] \"casual\" \"casual\" \"member\" \"casual\" ...\n - attr(*, \"spec\")=\n  .. cols(\n  ..   ride_id = \u001b[31mcol_character()\u001b[39m,\n  ..   rideable_type = \u001b[31mcol_character()\u001b[39m,\n  ..   started_at = \u001b[34mcol_datetime(format = \"\")\u001b[39m,\n  ..   ended_at = \u001b[34mcol_datetime(format = \"\")\u001b[39m,\n  ..   start_station_name = \u001b[31mcol_character()\u001b[39m,\n  ..   start_station_id = \u001b[31mcol_character()\u001b[39m,\n  ..   end_station_name = \u001b[31mcol_character()\u001b[39m,\n  ..   end_station_id = \u001b[31mcol_character()\u001b[39m,\n  ..   start_lat = \u001b[32mcol_double()\u001b[39m,\n  ..   start_lng = \u001b[32mcol_double()\u001b[39m,\n  ..   end_lat = \u001b[32mcol_double()\u001b[39m,\n  ..   end_lng = \u001b[32mcol_double()\u001b[39m,\n  ..   member_casual = \u001b[31mcol_character()\u001b[39m\n  .. )\n - attr(*, \"problems\")=<externalptr> \n","output_type":"stream"}]},{"cell_type":"markdown","source":"* **Formatting or transforming the data:**\n    + After going through the structure of the dataset first thing i have        to get the date, month, year, day, and day of the week in order to         make the analysis efficiently.\n\n    + Before doing that i am **dropping the null** values in dataset","metadata":{}},{"cell_type":"code","source":"trip_2022 = drop_na(trip_2022)","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:08:28.604098Z","iopub.execute_input":"2023-04-01T07:08:28.605143Z","iopub.status.idle":"2023-04-01T07:08:31.610618Z"},"trusted":true},"execution_count":79,"outputs":[]},{"cell_type":"code","source":"trip_2022$date = as.Date(trip_2022$started_at)\ntrip_2022$month = format(trip_2022$date,\"%m\")\ntrip_2022$year = format(trip_2022$date,\"%Y\")\ntrip_2022$day = format(trip_2022$date,\"%d\")\ntrip_2022$day_of_week =format(trip_2022$date, \"%A\")","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:08:31.612609Z","iopub.execute_input":"2023-04-01T07:08:31.613613Z","iopub.status.idle":"2023-04-01T07:08:35.351227Z"},"trusted":true},"execution_count":80,"outputs":[]},{"cell_type":"markdown","source":"* **Viewing:**\n* To ensure that everything goes well lets view the data.","metadata":{}},{"cell_type":"code","source":"head(trip_2022)","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:08:35.353199Z","iopub.execute_input":"2023-04-01T07:08:35.354165Z","iopub.status.idle":"2023-04-01T07:08:35.379912Z"},"trusted":true},"execution_count":81,"outputs":[{"output_type":"display_data","data":{"text/html":"<table class=\"dataframe\">\n<caption>A tibble: 6 × 18</caption>\n<thead>\n\t<tr><th scope=col>ride_id</th><th scope=col>rideable_type</th><th scope=col>started_at</th><th scope=col>ended_at</th><th scope=col>start_station_name</th><th scope=col>start_station_id</th><th scope=col>end_station_name</th><th scope=col>end_station_id</th><th scope=col>start_lat</th><th scope=col>start_lng</th><th scope=col>end_lat</th><th scope=col>end_lng</th><th scope=col>member_casual</th><th scope=col>date</th><th scope=col>month</th><th scope=col>year</th><th scope=col>day</th><th scope=col>day_of_week</th></tr>\n\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dttm&gt;</th><th scope=col>&lt;dttm&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;date&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th></tr>\n</thead>\n<tbody>\n\t<tr><td>C2F7DD78E82EC875</td><td>electric_bike</td><td>2022-01-13 11:59:47</td><td>2022-01-13 12:02:44</td><td><span style=white-space:pre-wrap>Glenwood Ave &amp; Touhy Ave     </span></td><td><span style=white-space:pre-wrap>525         </span></td><td><span style=white-space:pre-wrap>Clark St &amp; Touhy Ave         </span></td><td><span style=white-space:pre-wrap>RP-007      </span></td><td>42.01280</td><td>-87.66591</td><td>42.01256</td><td>-87.67437</td><td>casual</td><td>2022-01-13</td><td>01</td><td>2022</td><td>13</td><td>Thursday</td></tr>\n\t<tr><td>A6CF8980A652D272</td><td>electric_bike</td><td>2022-01-10 08:41:56</td><td>2022-01-10 08:46:17</td><td><span style=white-space:pre-wrap>Glenwood Ave &amp; Touhy Ave     </span></td><td><span style=white-space:pre-wrap>525         </span></td><td><span style=white-space:pre-wrap>Clark St &amp; Touhy Ave         </span></td><td><span style=white-space:pre-wrap>RP-007      </span></td><td>42.01276</td><td>-87.66597</td><td>42.01256</td><td>-87.67437</td><td>casual</td><td>2022-01-10</td><td>01</td><td>2022</td><td>10</td><td><span style=white-space:pre-wrap>Monday  </span></td></tr>\n\t<tr><td>BD0F91DFF741C66D</td><td>classic_bike </td><td>2022-01-25 04:53:40</td><td>2022-01-25 04:58:01</td><td>Sheffield Ave &amp; Fullerton Ave</td><td>TA1306000016</td><td>Greenview Ave &amp; Fullerton Ave</td><td>TA1307000001</td><td>41.92560</td><td>-87.65371</td><td>41.92533</td><td>-87.66580</td><td>member</td><td>2022-01-25</td><td>01</td><td>2022</td><td>25</td><td>Tuesday </td></tr>\n\t<tr><td>CBB80ED419105406</td><td>classic_bike </td><td>2022-01-04 00:18:04</td><td>2022-01-04 00:33:00</td><td><span style=white-space:pre-wrap>Clark St &amp; Bryn Mawr Ave     </span></td><td>KA1504000151</td><td><span style=white-space:pre-wrap>Paulina St &amp; Montrose Ave    </span></td><td>TA1309000021</td><td>41.98359</td><td>-87.66915</td><td>41.96151</td><td>-87.67139</td><td>casual</td><td>2022-01-04</td><td>01</td><td>2022</td><td>04</td><td>Tuesday </td></tr>\n\t<tr><td>DDC963BFDDA51EEA</td><td>classic_bike </td><td>2022-01-20 01:31:10</td><td>2022-01-20 01:37:12</td><td><span style=white-space:pre-wrap>Michigan Ave &amp; Jackson Blvd  </span></td><td>TA1309000002</td><td><span style=white-space:pre-wrap>State St &amp; Randolph St       </span></td><td>TA1305000029</td><td>41.87785</td><td>-87.62408</td><td>41.88462</td><td>-87.62783</td><td>member</td><td>2022-01-20</td><td>01</td><td>2022</td><td>20</td><td>Thursday</td></tr>\n\t<tr><td>A39C6F6CC0586C0B</td><td>classic_bike </td><td>2022-01-11 18:48:09</td><td>2022-01-11 18:51:31</td><td><span style=white-space:pre-wrap>Wood St &amp; Chicago Ave        </span></td><td><span style=white-space:pre-wrap>637         </span></td><td><span style=white-space:pre-wrap>Honore St &amp; Division St      </span></td><td>TA1305000034</td><td>41.89563</td><td>-87.67207</td><td>41.90312</td><td>-87.67394</td><td>member</td><td>2022-01-11</td><td>01</td><td>2022</td><td>11</td><td>Tuesday </td></tr>\n</tbody>\n</table>\n","text/markdown":"\nA tibble: 6 × 18\n\n| ride_id &lt;chr&gt; | rideable_type &lt;chr&gt; | started_at &lt;dttm&gt; | ended_at &lt;dttm&gt; | start_station_name &lt;chr&gt; | start_station_id &lt;chr&gt; | end_station_name &lt;chr&gt; | end_station_id &lt;chr&gt; | start_lat &lt;dbl&gt; | start_lng &lt;dbl&gt; | end_lat &lt;dbl&gt; | end_lng &lt;dbl&gt; | member_casual &lt;chr&gt; | date &lt;date&gt; | month &lt;chr&gt; | year &lt;chr&gt; | day &lt;chr&gt; | day_of_week &lt;chr&gt; |\n|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| C2F7DD78E82EC875 | electric_bike | 2022-01-13 11:59:47 | 2022-01-13 12:02:44 | Glenwood Ave &amp; Touhy Ave      | 525          | Clark St &amp; Touhy Ave          | RP-007       | 42.01280 | -87.66591 | 42.01256 | -87.67437 | casual | 2022-01-13 | 01 | 2022 | 13 | Thursday |\n| A6CF8980A652D272 | electric_bike | 2022-01-10 08:41:56 | 2022-01-10 08:46:17 | Glenwood Ave &amp; Touhy Ave      | 525          | Clark St &amp; Touhy Ave          | RP-007       | 42.01276 | -87.66597 | 42.01256 | -87.67437 | casual | 2022-01-10 | 01 | 2022 | 10 | Monday   |\n| BD0F91DFF741C66D | classic_bike  | 2022-01-25 04:53:40 | 2022-01-25 04:58:01 | Sheffield Ave &amp; Fullerton Ave | TA1306000016 | Greenview Ave &amp; Fullerton Ave | TA1307000001 | 41.92560 | -87.65371 | 41.92533 | -87.66580 | member | 2022-01-25 | 01 | 2022 | 25 | Tuesday  |\n| CBB80ED419105406 | classic_bike  | 2022-01-04 00:18:04 | 2022-01-04 00:33:00 | Clark St &amp; Bryn Mawr Ave      | KA1504000151 | Paulina St &amp; Montrose Ave     | TA1309000021 | 41.98359 | -87.66915 | 41.96151 | -87.67139 | casual | 2022-01-04 | 01 | 2022 | 04 | Tuesday  |\n| DDC963BFDDA51EEA | classic_bike  | 2022-01-20 01:31:10 | 2022-01-20 01:37:12 | Michigan Ave &amp; Jackson Blvd   | TA1309000002 | State St &amp; Randolph St        | TA1305000029 | 41.87785 | -87.62408 | 41.88462 | -87.62783 | member | 2022-01-20 | 01 | 2022 | 20 | Thursday |\n| A39C6F6CC0586C0B | classic_bike  | 2022-01-11 18:48:09 | 2022-01-11 18:51:31 | Wood St &amp; Chicago Ave         | 637          | Honore St &amp; Division St       | TA1305000034 | 41.89563 | -87.67207 | 41.90312 | -87.67394 | member | 2022-01-11 | 01 | 2022 | 11 | Tuesday  |\n\n","text/latex":"A tibble: 6 × 18\n\\begin{tabular}{llllllllllllllllll}\n ride\\_id & rideable\\_type & started\\_at & ended\\_at & start\\_station\\_name & start\\_station\\_id & end\\_station\\_name & end\\_station\\_id & start\\_lat & start\\_lng & end\\_lat & end\\_lng & member\\_casual & date & month & year & day & day\\_of\\_week\\\\\n <chr> & <chr> & <dttm> & <dttm> & <chr> & <chr> & <chr> & <chr> & <dbl> & <dbl> & <dbl> & <dbl> & <chr> & <date> & <chr> & <chr> & <chr> & <chr>\\\\\n\\hline\n\t C2F7DD78E82EC875 & electric\\_bike & 2022-01-13 11:59:47 & 2022-01-13 12:02:44 & Glenwood Ave \\& Touhy Ave      & 525          & Clark St \\& Touhy Ave          & RP-007       & 42.01280 & -87.66591 & 42.01256 & -87.67437 & casual & 2022-01-13 & 01 & 2022 & 13 & Thursday\\\\\n\t A6CF8980A652D272 & electric\\_bike & 2022-01-10 08:41:56 & 2022-01-10 08:46:17 & Glenwood Ave \\& Touhy Ave      & 525          & Clark St \\& Touhy Ave          & RP-007       & 42.01276 & -87.66597 & 42.01256 & -87.67437 & casual & 2022-01-10 & 01 & 2022 & 10 & Monday  \\\\\n\t BD0F91DFF741C66D & classic\\_bike  & 2022-01-25 04:53:40 & 2022-01-25 04:58:01 & Sheffield Ave \\& Fullerton Ave & TA1306000016 & Greenview Ave \\& Fullerton Ave & TA1307000001 & 41.92560 & -87.65371 & 41.92533 & -87.66580 & member & 2022-01-25 & 01 & 2022 & 25 & Tuesday \\\\\n\t CBB80ED419105406 & classic\\_bike  & 2022-01-04 00:18:04 & 2022-01-04 00:33:00 & Clark St \\& Bryn Mawr Ave      & KA1504000151 & Paulina St \\& Montrose Ave     & TA1309000021 & 41.98359 & -87.66915 & 41.96151 & -87.67139 & casual & 2022-01-04 & 01 & 2022 & 04 & Tuesday \\\\\n\t DDC963BFDDA51EEA & classic\\_bike  & 2022-01-20 01:31:10 & 2022-01-20 01:37:12 & Michigan Ave \\& Jackson Blvd   & TA1309000002 & State St \\& Randolph St        & TA1305000029 & 41.87785 & -87.62408 & 41.88462 & -87.62783 & member & 2022-01-20 & 01 & 2022 & 20 & Thursday\\\\\n\t A39C6F6CC0586C0B & classic\\_bike  & 2022-01-11 18:48:09 & 2022-01-11 18:51:31 & Wood St \\& Chicago Ave         & 637          & Honore St \\& Division St       & TA1305000034 & 41.89563 & -87.67207 & 41.90312 & -87.67394 & member & 2022-01-11 & 01 & 2022 & 11 & Tuesday \\\\\n\\end{tabular}\n","text/plain":"  ride_id          rideable_type started_at          ended_at           \n1 C2F7DD78E82EC875 electric_bike 2022-01-13 11:59:47 2022-01-13 12:02:44\n2 A6CF8980A652D272 electric_bike 2022-01-10 08:41:56 2022-01-10 08:46:17\n3 BD0F91DFF741C66D classic_bike  2022-01-25 04:53:40 2022-01-25 04:58:01\n4 CBB80ED419105406 classic_bike  2022-01-04 00:18:04 2022-01-04 00:33:00\n5 DDC963BFDDA51EEA classic_bike  2022-01-20 01:31:10 2022-01-20 01:37:12\n6 A39C6F6CC0586C0B classic_bike  2022-01-11 18:48:09 2022-01-11 18:51:31\n  start_station_name            start_station_id end_station_name             \n1 Glenwood Ave & Touhy Ave      525              Clark St & Touhy Ave         \n2 Glenwood Ave & Touhy Ave      525              Clark St & Touhy Ave         \n3 Sheffield Ave & Fullerton Ave TA1306000016     Greenview Ave & Fullerton Ave\n4 Clark St & Bryn Mawr Ave      KA1504000151     Paulina St & Montrose Ave    \n5 Michigan Ave & Jackson Blvd   TA1309000002     State St & Randolph St       \n6 Wood St & Chicago Ave         637              Honore St & Division St      \n  end_station_id start_lat start_lng end_lat  end_lng   member_casual\n1 RP-007         42.01280  -87.66591 42.01256 -87.67437 casual       \n2 RP-007         42.01276  -87.66597 42.01256 -87.67437 casual       \n3 TA1307000001   41.92560  -87.65371 41.92533 -87.66580 member       \n4 TA1309000021   41.98359  -87.66915 41.96151 -87.67139 casual       \n5 TA1305000029   41.87785  -87.62408 41.88462 -87.62783 member       \n6 TA1305000034   41.89563  -87.67207 41.90312 -87.67394 member       \n  date       month year day day_of_week\n1 2022-01-13 01    2022 13  Thursday   \n2 2022-01-10 01    2022 10  Monday     \n3 2022-01-25 01    2022 25  Tuesday    \n4 2022-01-04 01    2022 04  Tuesday    \n5 2022-01-20 01    2022 20  Thursday   \n6 2022-01-11 01    2022 11  Tuesday    "},"metadata":{}}]},{"cell_type":"markdown","source":"* **Calculating the ride distance and duration:**\n\n    + Now we want to calculate the **ride duration**.","metadata":{}},{"cell_type":"code","source":"trip_2022$ride_duration =difftime(trip_2022$ended_at,trip_2022$started_at)","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:08:35.381767Z","iopub.execute_input":"2023-04-01T07:08:35.382745Z","iopub.status.idle":"2023-04-01T07:08:35.410881Z"},"trusted":true},"execution_count":82,"outputs":[]},{"cell_type":"markdown","source":"* Lets check how it is stored ","metadata":{}},{"cell_type":"code","source":"str(trip_2022$ride_duration)","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:08:35.412789Z","iopub.execute_input":"2023-04-01T07:08:35.413813Z","iopub.status.idle":"2023-04-01T07:08:35.424389Z"},"trusted":true},"execution_count":83,"outputs":[{"name":"stdout","text":" 'difftime' num [1:4369360] 177 261 261 896 ...\n - attr(*, \"units\")= chr \"secs\"\n","output_type":"stream"}]},{"cell_type":"markdown","source":"* To perform calculations we need to **convert into numeric**","metadata":{}},{"cell_type":"code","source":"trip_2022$ride_duration = as.numeric(trip_2022$ride_duration)\n\nis.numeric((trip_2022$ride_duration))","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:08:35.426222Z","iopub.execute_input":"2023-04-01T07:08:35.427162Z","iopub.status.idle":"2023-04-01T07:08:35.446015Z"},"trusted":true},"execution_count":84,"outputs":[{"output_type":"display_data","data":{"text/html":"TRUE","text/markdown":"TRUE","text/latex":"TRUE","text/plain":"[1] TRUE"},"metadata":{}}]},{"cell_type":"markdown","source":"* Now we want to calculate the  **ride distance.** ","metadata":{"execution":{"iopub.status.busy":"2023-04-01T06:50:06.732416Z","iopub.execute_input":"2023-04-01T06:50:06.733865Z","iopub.status.idle":"2023-04-01T06:50:06.764219Z"}}},{"cell_type":"code","source":"install.packages(\"geosphere\")\nlibrary(geosphere)","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:08:35.448043Z","iopub.execute_input":"2023-04-01T07:08:35.449063Z","iopub.status.idle":"2023-04-01T07:09:01.119503Z"},"trusted":true},"execution_count":85,"outputs":[{"name":"stderr","text":"Installing package into ‘/usr/local/lib/R/site-library’\n(as ‘lib’ is unspecified)\n\n","output_type":"stream"}]},{"cell_type":"code","source":"trip_2022$ride_distance =                                         distGeo(matrix(c(trip_2022$start_lng,trip_2022$start_lat), \n                                       ncol = 2)  ,\n matrix(c(trip_2022$end_lng,trip_2022$end_lat),ncol = 2))","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:09:01.123332Z","iopub.execute_input":"2023-04-01T07:09:01.125288Z","iopub.status.idle":"2023-04-01T07:09:07.159559Z"},"trusted":true},"execution_count":86,"outputs":[]},{"cell_type":"markdown","source":"* I often use View function to view the data  when i get  confused with      previewing the structure of the data but here i did'nt include the code    chunks\n* **Unit conversion:**\n    + Now i need to see the distance in km which was in metre\n      and duration in minutes which was in seconds","metadata":{}},{"cell_type":"code","source":"trip_2022$ride_distance =trip_2022$ride_distance/1000\ntrip_2022$ride_duration =trip_2022$ride_duration/60","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:09:07.162935Z","iopub.execute_input":"2023-04-01T07:09:07.164585Z","iopub.status.idle":"2023-04-01T07:09:07.209898Z"},"trusted":true},"execution_count":87,"outputs":[]},{"cell_type":"markdown","source":"* **Filtering the data:**\n    + Now i need to drop the rows containing ride duration and ride              distance which are <= 0.This happened because there was no data with       respect to the location(name & coordinates) and time.","metadata":{}},{"cell_type":"code","source":" trip_2022_clean1 = trip_2022[ !(trip_2022$ride_duration <= 0 | trip_2022$ride_distance <= 0),]  ","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:09:07.213146Z","iopub.execute_input":"2023-04-01T07:09:07.214851Z","iopub.status.idle":"2023-04-01T07:09:08.187915Z"},"trusted":true},"execution_count":88,"outputs":[]},{"cell_type":"markdown","source":"* **Previewing:**\n    + Here i am going to view the dataset and structure of the dataset","metadata":{}},{"cell_type":"code","source":"head(trip_2022_clean1)\nstr(trip_2022_clean1)","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:09:08.190092Z","iopub.execute_input":"2023-04-01T07:09:08.191145Z","iopub.status.idle":"2023-04-01T07:09:08.249083Z"},"trusted":true},"execution_count":89,"outputs":[{"output_type":"display_data","data":{"text/html":"<table class=\"dataframe\">\n<caption>A tibble: 6 × 20</caption>\n<thead>\n\t<tr><th scope=col>ride_id</th><th scope=col>rideable_type</th><th scope=col>started_at</th><th scope=col>ended_at</th><th scope=col>start_station_name</th><th scope=col>start_station_id</th><th scope=col>end_station_name</th><th scope=col>end_station_id</th><th scope=col>start_lat</th><th scope=col>start_lng</th><th scope=col>end_lat</th><th scope=col>end_lng</th><th scope=col>member_casual</th><th scope=col>date</th><th scope=col>month</th><th scope=col>year</th><th scope=col>day</th><th scope=col>day_of_week</th><th scope=col>ride_duration</th><th scope=col>ride_distance</th></tr>\n\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dttm&gt;</th><th scope=col>&lt;dttm&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;date&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n</thead>\n<tbody>\n\t<tr><td>C2F7DD78E82EC875</td><td>electric_bike</td><td>2022-01-13 11:59:47</td><td>2022-01-13 12:02:44</td><td><span style=white-space:pre-wrap>Glenwood Ave &amp; Touhy Ave     </span></td><td><span style=white-space:pre-wrap>525         </span></td><td><span style=white-space:pre-wrap>Clark St &amp; Touhy Ave         </span></td><td><span style=white-space:pre-wrap>RP-007      </span></td><td>42.01280</td><td>-87.66591</td><td>42.01256</td><td>-87.67437</td><td>casual</td><td>2022-01-13</td><td>01</td><td>2022</td><td>13</td><td>Thursday</td><td> 2.950000</td><td>0.7013791</td></tr>\n\t<tr><td>A6CF8980A652D272</td><td>electric_bike</td><td>2022-01-10 08:41:56</td><td>2022-01-10 08:46:17</td><td><span style=white-space:pre-wrap>Glenwood Ave &amp; Touhy Ave     </span></td><td><span style=white-space:pre-wrap>525         </span></td><td><span style=white-space:pre-wrap>Clark St &amp; Touhy Ave         </span></td><td><span style=white-space:pre-wrap>RP-007      </span></td><td>42.01276</td><td>-87.66597</td><td>42.01256</td><td>-87.67437</td><td>casual</td><td>2022-01-10</td><td>01</td><td>2022</td><td>10</td><td><span style=white-space:pre-wrap>Monday  </span></td><td> 4.350000</td><td>0.6961414</td></tr>\n\t<tr><td>BD0F91DFF741C66D</td><td>classic_bike </td><td>2022-01-25 04:53:40</td><td>2022-01-25 04:58:01</td><td>Sheffield Ave &amp; Fullerton Ave</td><td>TA1306000016</td><td>Greenview Ave &amp; Fullerton Ave</td><td>TA1307000001</td><td>41.92560</td><td>-87.65371</td><td>41.92533</td><td>-87.66580</td><td>member</td><td>2022-01-25</td><td>01</td><td>2022</td><td>25</td><td>Tuesday </td><td> 4.350000</td><td>1.0034507</td></tr>\n\t<tr><td>CBB80ED419105406</td><td>classic_bike </td><td>2022-01-04 00:18:04</td><td>2022-01-04 00:33:00</td><td><span style=white-space:pre-wrap>Clark St &amp; Bryn Mawr Ave     </span></td><td>KA1504000151</td><td><span style=white-space:pre-wrap>Paulina St &amp; Montrose Ave    </span></td><td>TA1309000021</td><td>41.98359</td><td>-87.66915</td><td>41.96151</td><td>-87.67139</td><td>casual</td><td>2022-01-04</td><td>01</td><td>2022</td><td>04</td><td>Tuesday </td><td>14.933333</td><td>2.4601250</td></tr>\n\t<tr><td>DDC963BFDDA51EEA</td><td>classic_bike </td><td>2022-01-20 01:31:10</td><td>2022-01-20 01:37:12</td><td><span style=white-space:pre-wrap>Michigan Ave &amp; Jackson Blvd  </span></td><td>TA1309000002</td><td><span style=white-space:pre-wrap>State St &amp; Randolph St       </span></td><td>TA1305000029</td><td>41.87785</td><td>-87.62408</td><td>41.88462</td><td>-87.62783</td><td>member</td><td>2022-01-20</td><td>01</td><td>2022</td><td>20</td><td>Thursday</td><td> 6.033333</td><td>0.8140730</td></tr>\n\t<tr><td>A39C6F6CC0586C0B</td><td>classic_bike </td><td>2022-01-11 18:48:09</td><td>2022-01-11 18:51:31</td><td><span style=white-space:pre-wrap>Wood St &amp; Chicago Ave        </span></td><td><span style=white-space:pre-wrap>637         </span></td><td><span style=white-space:pre-wrap>Honore St &amp; Division St      </span></td><td>TA1305000034</td><td>41.89563</td><td>-87.67207</td><td>41.90312</td><td>-87.67394</td><td>member</td><td>2022-01-11</td><td>01</td><td>2022</td><td>11</td><td>Tuesday </td><td> 3.366667</td><td>0.8456658</td></tr>\n</tbody>\n</table>\n","text/markdown":"\nA tibble: 6 × 20\n\n| ride_id &lt;chr&gt; | rideable_type &lt;chr&gt; | started_at &lt;dttm&gt; | ended_at &lt;dttm&gt; | start_station_name &lt;chr&gt; | start_station_id &lt;chr&gt; | end_station_name &lt;chr&gt; | end_station_id &lt;chr&gt; | start_lat &lt;dbl&gt; | start_lng &lt;dbl&gt; | end_lat &lt;dbl&gt; | end_lng &lt;dbl&gt; | member_casual &lt;chr&gt; | date &lt;date&gt; | month &lt;chr&gt; | year &lt;chr&gt; | day &lt;chr&gt; | day_of_week &lt;chr&gt; | ride_duration &lt;dbl&gt; | ride_distance &lt;dbl&gt; |\n|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| C2F7DD78E82EC875 | electric_bike | 2022-01-13 11:59:47 | 2022-01-13 12:02:44 | Glenwood Ave &amp; Touhy Ave      | 525          | Clark St &amp; Touhy Ave          | RP-007       | 42.01280 | -87.66591 | 42.01256 | -87.67437 | casual | 2022-01-13 | 01 | 2022 | 13 | Thursday |  2.950000 | 0.7013791 |\n| A6CF8980A652D272 | electric_bike | 2022-01-10 08:41:56 | 2022-01-10 08:46:17 | Glenwood Ave &amp; Touhy Ave      | 525          | Clark St &amp; Touhy Ave          | RP-007       | 42.01276 | -87.66597 | 42.01256 | -87.67437 | casual | 2022-01-10 | 01 | 2022 | 10 | Monday   |  4.350000 | 0.6961414 |\n| BD0F91DFF741C66D | classic_bike  | 2022-01-25 04:53:40 | 2022-01-25 04:58:01 | Sheffield Ave &amp; Fullerton Ave | TA1306000016 | Greenview Ave &amp; Fullerton Ave | TA1307000001 | 41.92560 | -87.65371 | 41.92533 | -87.66580 | member | 2022-01-25 | 01 | 2022 | 25 | Tuesday  |  4.350000 | 1.0034507 |\n| CBB80ED419105406 | classic_bike  | 2022-01-04 00:18:04 | 2022-01-04 00:33:00 | Clark St &amp; Bryn Mawr Ave      | KA1504000151 | Paulina St &amp; Montrose Ave     | TA1309000021 | 41.98359 | -87.66915 | 41.96151 | -87.67139 | casual | 2022-01-04 | 01 | 2022 | 04 | Tuesday  | 14.933333 | 2.4601250 |\n| DDC963BFDDA51EEA | classic_bike  | 2022-01-20 01:31:10 | 2022-01-20 01:37:12 | Michigan Ave &amp; Jackson Blvd   | TA1309000002 | State St &amp; Randolph St        | TA1305000029 | 41.87785 | -87.62408 | 41.88462 | -87.62783 | member | 2022-01-20 | 01 | 2022 | 20 | Thursday |  6.033333 | 0.8140730 |\n| A39C6F6CC0586C0B | classic_bike  | 2022-01-11 18:48:09 | 2022-01-11 18:51:31 | Wood St &amp; Chicago Ave         | 637          | Honore St &amp; Division St       | TA1305000034 | 41.89563 | -87.67207 | 41.90312 | -87.67394 | member | 2022-01-11 | 01 | 2022 | 11 | Tuesday  |  3.366667 | 0.8456658 |\n\n","text/latex":"A tibble: 6 × 20\n\\begin{tabular}{llllllllllllllllllll}\n ride\\_id & rideable\\_type & started\\_at & ended\\_at & start\\_station\\_name & start\\_station\\_id & end\\_station\\_name & end\\_station\\_id & start\\_lat & start\\_lng & end\\_lat & end\\_lng & member\\_casual & date & month & year & day & day\\_of\\_week & ride\\_duration & ride\\_distance\\\\\n <chr> & <chr> & <dttm> & <dttm> & <chr> & <chr> & <chr> & <chr> & <dbl> & <dbl> & <dbl> & <dbl> & <chr> & <date> & <chr> & <chr> & <chr> & <chr> & <dbl> & <dbl>\\\\\n\\hline\n\t C2F7DD78E82EC875 & electric\\_bike & 2022-01-13 11:59:47 & 2022-01-13 12:02:44 & Glenwood Ave \\& Touhy Ave      & 525          & Clark St \\& Touhy Ave          & RP-007       & 42.01280 & -87.66591 & 42.01256 & -87.67437 & casual & 2022-01-13 & 01 & 2022 & 13 & Thursday &  2.950000 & 0.7013791\\\\\n\t A6CF8980A652D272 & electric\\_bike & 2022-01-10 08:41:56 & 2022-01-10 08:46:17 & Glenwood Ave \\& Touhy Ave      & 525          & Clark St \\& Touhy Ave          & RP-007       & 42.01276 & -87.66597 & 42.01256 & -87.67437 & casual & 2022-01-10 & 01 & 2022 & 10 & Monday   &  4.350000 & 0.6961414\\\\\n\t BD0F91DFF741C66D & classic\\_bike  & 2022-01-25 04:53:40 & 2022-01-25 04:58:01 & Sheffield Ave \\& Fullerton Ave & TA1306000016 & Greenview Ave \\& Fullerton Ave & TA1307000001 & 41.92560 & -87.65371 & 41.92533 & -87.66580 & member & 2022-01-25 & 01 & 2022 & 25 & Tuesday  &  4.350000 & 1.0034507\\\\\n\t CBB80ED419105406 & classic\\_bike  & 2022-01-04 00:18:04 & 2022-01-04 00:33:00 & Clark St \\& Bryn Mawr Ave      & KA1504000151 & Paulina St \\& Montrose Ave     & TA1309000021 & 41.98359 & -87.66915 & 41.96151 & -87.67139 & casual & 2022-01-04 & 01 & 2022 & 04 & Tuesday  & 14.933333 & 2.4601250\\\\\n\t DDC963BFDDA51EEA & classic\\_bike  & 2022-01-20 01:31:10 & 2022-01-20 01:37:12 & Michigan Ave \\& Jackson Blvd   & TA1309000002 & State St \\& Randolph St        & TA1305000029 & 41.87785 & -87.62408 & 41.88462 & -87.62783 & member & 2022-01-20 & 01 & 2022 & 20 & Thursday &  6.033333 & 0.8140730\\\\\n\t A39C6F6CC0586C0B & classic\\_bike  & 2022-01-11 18:48:09 & 2022-01-11 18:51:31 & Wood St \\& Chicago Ave         & 637          & Honore St \\& Division St       & TA1305000034 & 41.89563 & -87.67207 & 41.90312 & -87.67394 & member & 2022-01-11 & 01 & 2022 & 11 & Tuesday  &  3.366667 & 0.8456658\\\\\n\\end{tabular}\n","text/plain":"  ride_id          rideable_type started_at          ended_at           \n1 C2F7DD78E82EC875 electric_bike 2022-01-13 11:59:47 2022-01-13 12:02:44\n2 A6CF8980A652D272 electric_bike 2022-01-10 08:41:56 2022-01-10 08:46:17\n3 BD0F91DFF741C66D classic_bike  2022-01-25 04:53:40 2022-01-25 04:58:01\n4 CBB80ED419105406 classic_bike  2022-01-04 00:18:04 2022-01-04 00:33:00\n5 DDC963BFDDA51EEA classic_bike  2022-01-20 01:31:10 2022-01-20 01:37:12\n6 A39C6F6CC0586C0B classic_bike  2022-01-11 18:48:09 2022-01-11 18:51:31\n  start_station_name            start_station_id end_station_name             \n1 Glenwood Ave & Touhy Ave      525              Clark St & Touhy Ave         \n2 Glenwood Ave & Touhy Ave      525              Clark St & Touhy Ave         \n3 Sheffield Ave & Fullerton Ave TA1306000016     Greenview Ave & Fullerton Ave\n4 Clark St & Bryn Mawr Ave      KA1504000151     Paulina St & Montrose Ave    \n5 Michigan Ave & Jackson Blvd   TA1309000002     State St & Randolph St       \n6 Wood St & Chicago Ave         637              Honore St & Division St      \n  end_station_id start_lat start_lng end_lat  end_lng   member_casual\n1 RP-007         42.01280  -87.66591 42.01256 -87.67437 casual       \n2 RP-007         42.01276  -87.66597 42.01256 -87.67437 casual       \n3 TA1307000001   41.92560  -87.65371 41.92533 -87.66580 member       \n4 TA1309000021   41.98359  -87.66915 41.96151 -87.67139 casual       \n5 TA1305000029   41.87785  -87.62408 41.88462 -87.62783 member       \n6 TA1305000034   41.89563  -87.67207 41.90312 -87.67394 member       \n  date       month year day day_of_week ride_duration ride_distance\n1 2022-01-13 01    2022 13  Thursday     2.950000     0.7013791    \n2 2022-01-10 01    2022 10  Monday       4.350000     0.6961414    \n3 2022-01-25 01    2022 25  Tuesday      4.350000     1.0034507    \n4 2022-01-04 01    2022 04  Tuesday     14.933333     2.4601250    \n5 2022-01-20 01    2022 20  Thursday     6.033333     0.8140730    \n6 2022-01-11 01    2022 11  Tuesday      3.366667     0.8456658    "},"metadata":{}},{"name":"stdout","text":"tibble [4,168,269 × 20] (S3: tbl_df/tbl/data.frame)\n $ ride_id           : chr [1:4168269] \"C2F7DD78E82EC875\" \"A6CF8980A652D272\" \"BD0F91DFF741C66D\" \"CBB80ED419105406\" ...\n $ rideable_type     : chr [1:4168269] \"electric_bike\" \"electric_bike\" \"classic_bike\" \"classic_bike\" ...\n $ started_at        : POSIXct[1:4168269], format: \"2022-01-13 11:59:47\" \"2022-01-10 08:41:56\" ...\n $ ended_at          : POSIXct[1:4168269], format: \"2022-01-13 12:02:44\" \"2022-01-10 08:46:17\" ...\n $ start_station_name: chr [1:4168269] \"Glenwood Ave & Touhy Ave\" \"Glenwood Ave & Touhy Ave\" \"Sheffield Ave & Fullerton Ave\" \"Clark St & Bryn Mawr Ave\" ...\n $ start_station_id  : chr [1:4168269] \"525\" \"525\" \"TA1306000016\" \"KA1504000151\" ...\n $ end_station_name  : chr [1:4168269] \"Clark St & Touhy Ave\" \"Clark St & Touhy Ave\" \"Greenview Ave & Fullerton Ave\" \"Paulina St & Montrose Ave\" ...\n $ end_station_id    : chr [1:4168269] \"RP-007\" \"RP-007\" \"TA1307000001\" \"TA1309000021\" ...\n $ start_lat         : num [1:4168269] 42 42 41.9 42 41.9 ...\n $ start_lng         : num [1:4168269] -87.7 -87.7 -87.7 -87.7 -87.6 ...\n $ end_lat           : num [1:4168269] 42 42 41.9 42 41.9 ...\n $ end_lng           : num [1:4168269] -87.7 -87.7 -87.7 -87.7 -87.6 ...\n $ member_casual     : chr [1:4168269] \"casual\" \"casual\" \"member\" \"casual\" ...\n $ date              : Date[1:4168269], format: \"2022-01-13\" \"2022-01-10\" ...\n $ month             : chr [1:4168269] \"01\" \"01\" \"01\" \"01\" ...\n $ year              : chr [1:4168269] \"2022\" \"2022\" \"2022\" \"2022\" ...\n $ day               : chr [1:4168269] \"13\" \"10\" \"25\" \"04\" ...\n $ day_of_week       : chr [1:4168269] \"Thursday\" \"Monday\" \"Tuesday\" \"Tuesday\" ...\n $ ride_duration     : num [1:4168269] 2.95 4.35 4.35 14.93 6.03 ...\n $ ride_distance     : num [1:4168269] 0.701 0.696 1.003 2.46 0.814 ...\n","output_type":"stream"}]},{"cell_type":"markdown","source":"#### **4) ANALYZE AND SHARE:**\n\n<br>\n\n##### **a) SUMMARY OF THE DATA:**\n\n* Now we have to analyze the processed data.","metadata":{}},{"cell_type":"code","source":"trip_2022_clean1 %>% \n  group_by(member_casual) %>% \n  summarise( average_ride_duration = mean(ride_duration),median_ride_duration = median(ride_duration),\n            max_ride_duration = max(ride_duration), min_ride_duration = min(ride_duration) )","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:09:08.251107Z","iopub.execute_input":"2023-04-01T07:09:08.252124Z","iopub.status.idle":"2023-04-01T07:09:08.471811Z"},"trusted":true},"execution_count":90,"outputs":[{"output_type":"display_data","data":{"text/html":"<table class=\"dataframe\">\n<caption>A tibble: 2 × 5</caption>\n<thead>\n\t<tr><th scope=col>member_casual</th><th scope=col>average_ride_duration</th><th scope=col>median_ride_duration</th><th scope=col>max_ride_duration</th><th scope=col>min_ride_duration</th></tr>\n\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n</thead>\n<tbody>\n\t<tr><td>casual</td><td>22.70726</td><td>13.63333</td><td>34354.067</td><td>0.01666667</td></tr>\n\t<tr><td>member</td><td>12.35788</td><td> 9.00000</td><td> 1493.233</td><td>0.01666667</td></tr>\n</tbody>\n</table>\n","text/markdown":"\nA tibble: 2 × 5\n\n| member_casual &lt;chr&gt; | average_ride_duration &lt;dbl&gt; | median_ride_duration &lt;dbl&gt; | max_ride_duration &lt;dbl&gt; | min_ride_duration &lt;dbl&gt; |\n|---|---|---|---|---|\n| casual | 22.70726 | 13.63333 | 34354.067 | 0.01666667 |\n| member | 12.35788 |  9.00000 |  1493.233 | 0.01666667 |\n\n","text/latex":"A tibble: 2 × 5\n\\begin{tabular}{lllll}\n member\\_casual & average\\_ride\\_duration & median\\_ride\\_duration & max\\_ride\\_duration & min\\_ride\\_duration\\\\\n <chr> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n\\hline\n\t casual & 22.70726 & 13.63333 & 34354.067 & 0.01666667\\\\\n\t member & 12.35788 &  9.00000 &  1493.233 & 0.01666667\\\\\n\\end{tabular}\n","text/plain":"  member_casual average_ride_duration median_ride_duration max_ride_duration\n1 casual        22.70726              13.63333             34354.067        \n2 member        12.35788               9.00000              1493.233        \n  min_ride_duration\n1 0.01666667       \n2 0.01666667       "},"metadata":{}}]},{"cell_type":"markdown","source":"##### **b) Total Rides Made By Casual And Member:**","metadata":{}},{"cell_type":"code","source":"trip_2022_clean1 %>% \n  group_by(member_casual) %>% \n  summarise(ride_count = n(),.groups = \"drop\")","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:09:08.473914Z","iopub.execute_input":"2023-04-01T07:09:08.474980Z","iopub.status.idle":"2023-04-01T07:09:08.574910Z"},"trusted":true},"execution_count":91,"outputs":[{"output_type":"display_data","data":{"text/html":"<table class=\"dataframe\">\n<caption>A tibble: 2 × 2</caption>\n<thead>\n\t<tr><th scope=col>member_casual</th><th scope=col>ride_count</th></tr>\n\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n</thead>\n<tbody>\n\t<tr><td>casual</td><td>1634385</td></tr>\n\t<tr><td>member</td><td>2533884</td></tr>\n</tbody>\n</table>\n","text/markdown":"\nA tibble: 2 × 2\n\n| member_casual &lt;chr&gt; | ride_count &lt;int&gt; |\n|---|---|\n| casual | 1634385 |\n| member | 2533884 |\n\n","text/latex":"A tibble: 2 × 2\n\\begin{tabular}{ll}\n member\\_casual & ride\\_count\\\\\n <chr> & <int>\\\\\n\\hline\n\t casual & 1634385\\\\\n\t member & 2533884\\\\\n\\end{tabular}\n","text/plain":"  member_casual ride_count\n1 casual        1634385   \n2 member        2533884   "},"metadata":{}}]},{"cell_type":"markdown","source":"##### * **Visualization of the total ride count of members and casual:**","metadata":{}},{"cell_type":"code","source":"trip_2022_visual =trip_2022_clean1 %>% \n  group_by(member_casual) %>% \n  summarise(no_of_rides = n())","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:09:08.576869Z","iopub.execute_input":"2023-04-01T07:09:08.577931Z","iopub.status.idle":"2023-04-01T07:09:08.672271Z"},"trusted":true},"execution_count":92,"outputs":[]},{"cell_type":"code","source":"ggplot(data = trip_2022_visual)+\n  geom_col(mapping = aes(x =  member_casual,y = no_of_rides, fill = member_casual ),position = \"dodge\")+\n  labs( title= \"Total No Of Rides By Casuals And Members:\",caption = \n         \"Done By Arun Kumar In Jan 2023\")","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:09:08.674401Z","iopub.execute_input":"2023-04-01T07:09:08.675447Z","iopub.status.idle":"2023-04-01T07:09:08.931520Z"},"trusted":true},"execution_count":93,"outputs":[{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAABmJLR0QA/wD/AP+gvaeTAAAg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\n7OwsOB3799gd+ugJEclfd53tYbaCXVCxEqFplSjm72oQEbNPuZk7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fzr3H1DWN/mHebMO6J9cMqevkv32HHSVoZiYmLi4OMevKjicwWDw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2AEAAEiCYAfkWqf27edfSPX2LIB8Zkna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\nM+KiVZQy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**c)  No Of Rides By Casuals And Members In Each Day Of The Week:** \n\n    +  **Ordering  The Day Of The Week:**\n    ","metadata":{}},{"cell_type":"code","source":"trip_2022_clean1$day_of_week = ordered(trip_2022_clean1$day_of_week,levels = c(\"Sunday\",\"Monday\",\"Tuesday\",\n                                                            \"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"))","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:09:08.933658Z","iopub.execute_input":"2023-04-01T07:09:08.934663Z","iopub.status.idle":"2023-04-01T07:09:08.991183Z"},"trusted":true},"execution_count":94,"outputs":[]},{"cell_type":"code","source":"trip_2022_clean1 %>% \n  group_by(member_casual,day_of_week) %>% \n  summarise(no_of_rides = n(),.groups = \"drop\") %>% \n  arrange(member_casual,day_of_week)","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:09:08.993284Z","iopub.execute_input":"2023-04-01T07:09:08.994303Z","iopub.status.idle":"2023-04-01T07:09:09.638483Z"},"trusted":true},"execution_count":95,"outputs":[{"output_type":"display_data","data":{"text/html":"<table class=\"dataframe\">\n<caption>A tibble: 14 × 3</caption>\n<thead>\n\t<tr><th scope=col>member_casual</th><th scope=col>day_of_week</th><th scope=col>no_of_rides</th></tr>\n\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;ord&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n</thead>\n<tbody>\n\t<tr><td>casual</td><td>Sunday   </td><td>276075</td></tr>\n\t<tr><td>casual</td><td>Monday   </td><td>194134</td></tr>\n\t<tr><td>casual</td><td>Tuesday  </td><td>183746</td></tr>\n\t<tr><td>casual</td><td>Wednesday</td><td>191020</td></tr>\n\t<tr><td>casual</td><td>Thursday </td><td>215621</td></tr>\n\t<tr><td>casual</td><td>Friday   </td><td>233140</td></tr>\n\t<tr><td>casual</td><td>Saturday </td><td>340649</td></tr>\n\t<tr><td>member</td><td>Sunday   </td><td>286440</td></tr>\n\t<tr><td>member</td><td>Monday   </td><td>363954</td></tr>\n\t<tr><td>member</td><td>Tuesday  </td><td>400598</td></tr>\n\t<tr><td>member</td><td>Wednesday</td><td>402028</td></tr>\n\t<tr><td>member</td><td>Thursday </td><td>404858</td></tr>\n\t<tr><td>member</td><td>Friday   </td><td>349559</td></tr>\n\t<tr><td>member</td><td>Saturday </td><td>326447</td></tr>\n</tbody>\n</table>\n","text/markdown":"\nA tibble: 14 × 3\n\n| member_casual &lt;chr&gt; | day_of_week &lt;ord&gt; | no_of_rides &lt;int&gt; |\n|---|---|---|\n| casual | Sunday    | 276075 |\n| casual | Monday    | 194134 |\n| casual | Tuesday   | 183746 |\n| casual | Wednesday | 191020 |\n| casual | Thursday  | 215621 |\n| casual | Friday    | 233140 |\n| casual | Saturday  | 340649 |\n| member | Sunday    | 286440 |\n| member | Monday    | 363954 |\n| member | Tuesday   | 400598 |\n| member | Wednesday | 402028 |\n| member | Thursday  | 404858 |\n| member | Friday    | 349559 |\n| member | Saturday  | 326447 |\n\n","text/latex":"A tibble: 14 × 3\n\\begin{tabular}{lll}\n member\\_casual & day\\_of\\_week & no\\_of\\_rides\\\\\n <chr> & <ord> & <int>\\\\\n\\hline\n\t casual & Sunday    & 276075\\\\\n\t casual & Monday    & 194134\\\\\n\t casual & Tuesday   & 183746\\\\\n\t casual & Wednesday & 191020\\\\\n\t casual & Thursday  & 215621\\\\\n\t casual & Friday    & 233140\\\\\n\t casual & Saturday  & 340649\\\\\n\t member & Sunday    & 286440\\\\\n\t member & Monday    & 363954\\\\\n\t member & Tuesday   & 400598\\\\\n\t member & Wednesday & 402028\\\\\n\t member & Thursday  & 404858\\\\\n\t member & Friday    & 349559\\\\\n\t member & Saturday  & 326447\\\\\n\\end{tabular}\n","text/plain":"   member_casual day_of_week no_of_rides\n1  casual        Sunday      276075     \n2  casual        Monday      194134     \n3  casual        Tuesday     183746     \n4  casual        Wednesday   191020     \n5  casual        Thursday    215621     \n6  casual        Friday      233140     \n7  casual        Saturday    340649     \n8  member        Sunday      286440     \n9  member        Monday      363954     \n10 member        Tuesday     400598     \n11 member        Wednesday   402028     \n12 member        Thursday    404858     \n13 member        Friday      349559     \n14 member        Saturday    326447     "},"metadata":{}}]},{"cell_type":"markdown","source":"##### **Visualization Of The Total Ride Count Of Members And Casual In             Each Day Of The Week:**","metadata":{}},{"cell_type":"code","source":"trip_2022_visual = trip_2022_clean1 %>% \n  group_by(member_casual,day_of_week) %>% \n  summarise(no_of_rides = n(),.groups = \"drop\") %>% \n  arrange(member_casual,day_of_week)\nggplot(data = trip_2022_visual)+\n  geom_col(mapping = aes( x = day_of_week, y = no_of_rides, fill =  member_casual),position = \"dodge\")+\n  labs(title =\"Total No Of Rides Vs Day Of The Week:\",caption = \n         \"Done By Arun Kumar In Jan 2023\")+\n  scale_y_continuous(labels = function(x) format(x,scientific = FALSE))\n  ","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:09:09.640779Z","iopub.execute_input":"2023-04-01T07:09:09.641946Z","iopub.status.idle":"2023-04-01T07:09:10.086835Z"},"trusted":true},"execution_count":96,"outputs":[{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAABmJLR0QA/wD/AP+gvaeTAAAg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\nHokHD4hIyVuaZWvXdJZuURbXQ1vq4cOpGTbr2QBd9u8zaPbWHhFJ+DNBRMZ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fU7FGo9F5mc758+dtNpu/yylyAQEBzmvsrpPPdgUFBVm2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\nBwAAIIn/B7jwi26hQErcAAAAAElFTkSuQmCC"},"metadata":{"image/png":{"width":420,"height":420}}}]},{"cell_type":"markdown","source":"##### **d) Total Ride Count Of Members And Casuals In Each Month:**","metadata":{}},{"cell_type":"code","source":"trip_2022_clean1 %>% \n  group_by(member_casual,month) %>% \n  summarise(no_of_rides = n(),.groups = \"drop\") %>% \n  arrange(member_casual,month)","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:09:10.090049Z","iopub.execute_input":"2023-04-01T07:09:10.091896Z","iopub.status.idle":"2023-04-01T07:09:10.248874Z"},"trusted":true},"execution_count":97,"outputs":[{"output_type":"display_data","data":{"text/html":"<table class=\"dataframe\">\n<caption>A tibble: 24 × 3</caption>\n<thead>\n\t<tr><th scope=col>member_casual</th><th scope=col>month</th><th scope=col>no_of_rides</th></tr>\n\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n</thead>\n<tbody>\n\t<tr><td>casual</td><td>01</td><td> 11805</td></tr>\n\t<tr><td>casual</td><td>02</td><td> 14071</td></tr>\n\t<tr><td>casual</td><td>03</td><td> 61216</td></tr>\n\t<tr><td>casual</td><td>04</td><td> 84422</td></tr>\n\t<tr><td>casual</td><td>05</td><td>200555</td></tr>\n\t<tr><td>casual</td><td>06</td><td>269367</td></tr>\n\t<tr><td>casual</td><td>07</td><td>289042</td></tr>\n\t<tr><td>casual</td><td>08</td><td>252494</td></tr>\n\t<tr><td>casual</td><td>09</td><td>208265</td></tr>\n\t<tr><td>casual</td><td>10</td><td>143422</td></tr>\n\t<tr><td>casual</td><td>11</td><td> 69531</td></tr>\n\t<tr><td>casual</td><td>12</td><td> 30195</td></tr>\n\t<tr><td>member</td><td>01</td><td> 65707</td></tr>\n\t<tr><td>member</td><td>02</td><td> 71858</td></tr>\n\t<tr><td>member</td><td>03</td><td>144770</td></tr>\n\t<tr><td>member</td><td>04</td><td>175754</td></tr>\n\t<tr><td>member</td><td>05</td><td>272893</td></tr>\n\t<tr><td>member</td><td>06</td><td>317136</td></tr>\n\t<tr><td>member</td><td>07</td><td>320477</td></tr>\n\t<tr><td>member</td><td>08</td><td>324862</td></tr>\n\t<tr><td>member</td><td>09</td><td>304854</td></tr>\n\t<tr><td>member</td><td>10</td><td>256334</td></tr>\n\t<tr><td>member</td><td>11</td><td>177805</td></tr>\n\t<tr><td>member</td><td>12</td><td>101434</td></tr>\n</tbody>\n</table>\n","text/markdown":"\nA tibble: 24 × 3\n\n| member_casual &lt;chr&gt; | month &lt;chr&gt; | no_of_rides &lt;int&gt; |\n|---|---|---|\n| casual | 01 |  11805 |\n| casual | 02 |  14071 |\n| casual | 03 |  61216 |\n| casual | 04 |  84422 |\n| casual | 05 | 200555 |\n| casual | 06 | 269367 |\n| casual | 07 | 289042 |\n| casual | 08 | 252494 |\n| casual | 09 | 208265 |\n| casual | 10 | 143422 |\n| casual | 11 |  69531 |\n| casual | 12 |  30195 |\n| member | 01 |  65707 |\n| member | 02 |  71858 |\n| member | 03 | 144770 |\n| member | 04 | 175754 |\n| member | 05 | 272893 |\n| member | 06 | 317136 |\n| member | 07 | 320477 |\n| member | 08 | 324862 |\n| member | 09 | 304854 |\n| member | 10 | 256334 |\n| member | 11 | 177805 |\n| member | 12 | 101434 |\n\n","text/latex":"A tibble: 24 × 3\n\\begin{tabular}{lll}\n member\\_casual & month & no\\_of\\_rides\\\\\n <chr> & <chr> & <int>\\\\\n\\hline\n\t casual & 01 &  11805\\\\\n\t casual & 02 &  14071\\\\\n\t casual & 03 &  61216\\\\\n\t casual & 04 &  84422\\\\\n\t casual & 05 & 200555\\\\\n\t casual & 06 & 269367\\\\\n\t casual & 07 & 289042\\\\\n\t casual & 08 & 252494\\\\\n\t casual & 09 & 208265\\\\\n\t casual & 10 & 143422\\\\\n\t casual & 11 &  69531\\\\\n\t casual & 12 &  30195\\\\\n\t member & 01 &  65707\\\\\n\t member & 02 &  71858\\\\\n\t member & 03 & 144770\\\\\n\t member & 04 & 175754\\\\\n\t member & 05 & 272893\\\\\n\t member & 06 & 317136\\\\\n\t member & 07 & 320477\\\\\n\t member & 08 & 324862\\\\\n\t member & 09 & 304854\\\\\n\t member & 10 & 256334\\\\\n\t member & 11 & 177805\\\\\n\t member & 12 & 101434\\\\\n\\end{tabular}\n","text/plain":"   member_casual month no_of_rides\n1  casual        01     11805     \n2  casual        02     14071     \n3  casual        03     61216     \n4  casual        04     84422     \n5  casual        05    200555     \n6  casual        06    269367     \n7  casual        07    289042     \n8  casual        08    252494     \n9  casual        09    208265     \n10 casual        10    143422     \n11 casual        11     69531     \n12 casual        12     30195     \n13 member        01     65707     \n14 member        02     71858     \n15 member        03    144770     \n16 member        04    175754     \n17 member        05    272893     \n18 member        06    317136     \n19 member        07    320477     \n20 member        08    324862     \n21 member        09    304854     \n22 member        10    256334     \n23 member        11    177805     \n24 member        12    101434     "},"metadata":{}}]},{"cell_type":"markdown","source":"\n##### **Visualization Of The Total Ride Count Of Members And Casual In             Each Month:**","metadata":{}},{"cell_type":"code","source":"trip_2022_visual = trip_2022_clean1 %>% \n  group_by(member_casual, month) %>% \n  summarise(no_of_rides = n(),.groups = \"drop\") %>% \n  arrange(member_casual, month)\nggplot(data = trip_2022_visual)+\n  geom_col(mapping = aes( x = month, y = no_of_rides, fill =  member_casual),position = \"dodge\")+\n  labs(title = \"Total No Of Rides Vs Month:\",caption = \n         \"Done By Arun Kumar In Jan 2023\")+\n  scale_y_continuous(labels = function(x) format(x,scientific = FALSE))","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:09:10.251945Z","iopub.execute_input":"2023-04-01T07:09:10.253496Z","iopub.status.idle":"2023-04-01T07:09:10.672836Z"},"trusted":true},"execution_count":98,"outputs":[{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAABmJLR0QA/wD/AP+gvaeTAAAg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\nqpcfuhWRnnNuHtn53V+mDT34wA/VbXl/i9qu+X1/TcoIiu42qVp4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INgBAAAogmAHAACgCIIdAACAIkwl3QCAPGgbNhe+SFz9WoUvAgD4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IqvugLuTk5OTk5Oj+jWw5R3+176Lhdep3e/OshzvtUdRrOy/fpq47tf35u96vqaj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\nAACS+H9N51ZL1x5hnAAAAABJRU5ErkJggg=="},"metadata":{"image/png":{"width":420,"height":420}}}]},{"cell_type":"markdown","source":"##### **e) Average Ride Duration  Of Members And Casual In Each                       Day Of The Week:**","metadata":{}},{"cell_type":"code","source":"trip_2022_visual = trip_2022_clean1 %>% \n  group_by(member_casual,day_of_week) %>% \n  summarise(average_ride_duration = mean(ride_duration),.groups = \"drop\")%>% \n  arrange(member_casual,day_of_week)\nggplot(data = trip_2022_visual)+\n  geom_col(mapping= aes(x= day_of_week , y = average_ride_duration, fill = member_casual),position = \"dodge\")+\n  labs(title = \"Average Ride Duration Vs Day Of The Week : \",caption = \n         \"Done By Arun Kumar In Jan 2023\")+\n  scale_y_continuous(labels = function(x) format(x, scientific = FALSE))","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:09:10.676470Z","iopub.execute_input":"2023-04-01T07:09:10.678447Z","iopub.status.idle":"2023-04-01T07:09:11.151496Z"},"trusted":true},"execution_count":99,"outputs":[{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAABmJLR0QA/wD/AP+gvaeTAAAg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\nm/P6sTFpgp2zZWTKEexCyoZHpBVeNtDTICJm/8pzfrkVU9LmmKsH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Nn1iYuI9uPgGg8FgMKiqeg8uu4jo9XqdTme1Wu/NxcddgUOxAAAA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o9FkMuXYfoUQaQ9FDtYuhNDpdKpWazKZ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\nLwR4Obr61mwz5F6ial4+9ta+vq3qBHi66hwNRcrV/nz9mTRKSF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**f) Average Ride Duration  Of Members And Casual In Each                       Month:**","metadata":{}},{"cell_type":"code","source":" trip_2022_visual = trip_2022_clean1 %>% \n  group_by(member_casual,month) %>% \n  summarise(average_ride_duration = mean(ride_duration),.groups = \"drop\")%>% \n  arrange(member_casual, month)\nggplot(data = trip_2022_visual)+\n  geom_col(mapping= aes(x=  month , y = average_ride_duration, fill = member_casual),position = \"dodge\")+\n  labs(title = \"Average Ride Duration Vs Month : \",caption = \n         \"Done By Arun Kumar In Jan 2023\")+\n  scale_y_continuous(labels = function(x) format(x, scientific = FALSE))","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:09:11.154946Z","iopub.execute_input":"2023-04-01T07:09:11.156932Z","iopub.status.idle":"2023-04-01T07:09:11.939063Z"},"trusted":true},"execution_count":100,"outputs":[{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAABmJLR0QA/wD/AP+gvaeTAAAg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\nWLpv3CfSddKlX4ffSnQUbDgt2HDP31e+RZ/aeOTS7p9Wfrt+w8/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QCIodAACARlDsAAAANIJiBwAAoBEUOwAAAI2g2AEAAGgExQ4AAEAj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\nUOwAAAAkQbEDAACQxP8DLV63kXDJ+1QAAAAASUVORK5CYII="},"metadata":{"image/png":{"width":420,"height":420}}}]},{"cell_type":"markdown","source":"##### **g) Average Ride  distance Of Members And Casual In Each                       Month:**","metadata":{}},{"cell_type":"code","source":" trip_2022_visual = trip_2022_clean1 %>% \n  group_by(member_casual,month) %>% \n  summarise(average_ride_distance = mean(ride_distance),.groups = \"drop\")%>% \n  arrange(member_casual, month)\nggplot(data = trip_2022_visual)+\n  geom_col(mapping= aes(x=  month , y = average_ride_distance, fill = member_casual),position = \"dodge\")+\n  labs(title = \"Average Ride Distance Vs Month : \",caption = \n         \"Done By Arun Kumar In Jan 2023\")+\n  scale_y_continuous(labels = function(x) format(x, scientific = FALSE))","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:09:11.941011Z","iopub.execute_input":"2023-04-01T07:09:11.942067Z","iopub.status.idle":"2023-04-01T07:09:12.367321Z"},"trusted":true},"execution_count":101,"outputs":[{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAABmJLR0QA/wD/AP+gvaeTAAAg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\n75nsu+vq1mWX4p8IS39yOMWsiEimJ7sITfORTC/Fc/r3u59EJKj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A0AmKHQAAgE5Q7AAAAHSCb54A7jC5/DIMcX4Zhoi8kttxAABaw4wd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\nD+nyj9W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**h) Average Ride  distance Of Members And Casual In Each                       Day Of The Week:**","metadata":{}},{"cell_type":"code","source":" trip_2022_visual = trip_2022_clean1 %>% \n  group_by(member_casual, day_of_week) %>% \n  summarise(average_ride_distance = mean(ride_distance),.groups = \"drop\")%>% \n  arrange(member_casual,  day_of_week)\nggplot(data = trip_2022_visual)+\n  geom_col(mapping= aes(x=  day_of_week, y = average_ride_distance, fill = member_casual),position = \"dodge\")+\n  labs(title = \"Average Ride Distance Vs Day Of Week : \",caption = \n         \"Done By Arun Kumar In Jan 2023\")+\n  scale_y_continuous(labels = function(x) format(x, scientific = FALSE))","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:09:12.369584Z","iopub.execute_input":"2023-04-01T07:09:12.370719Z","iopub.status.idle":"2023-04-01T07:09:12.839050Z"},"trusted":true},"execution_count":102,"outputs":[{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAABmJLR0QA/wD/AP+gvaeTAAAg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\nTREp13HDrbdq+eC0friOYDd2/gjHEfMi9cZlMVsAyBv3fbA7vrh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5bsUu4er+ryZOXrknMuLZHq90bOymKJm3n9Gt/abA/839pIHjqaqq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\n//vCSw+V9d697oeFG46XeGLUlLqF8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tOulhUuplTIkhkZLa06Puom+/+27N8iGt\ny/y4dNw3wRF2KA8AAEAZ7HHETqU3CiHCksy+upQc+SDJpHF/YtNqnf+mTZseTXk17PzRhV86\n7vn6TM8Z9SxDkiQtXLjQury7u3tkZNpjfk8rCKfUZrQf6F3Z6D2NgtC4oPenFOTegXTZI9hp\njZWE2Bccl+Sr01tGLsQluwa6Zn6v6j6GPeH3rZOSJNWqVcs6GRcXFxMTk+WmC8JrPikpKd1x\nelc2ek+jIDQu6P0pBbl3IF32+CjWwa2Rv06983BKSkuKDvorKvHFRr6pl4m4sKBP34F3E80p\n07Jp3+1Ytwpl7VAeAACAMtjllyck7Yj25S4um7gn6MKty6e/Hj/L0b9pt8KOQojLm9asWLVd\nCOFSsqNn7N3Rkxb/debCxbMn1s0etT/G+d2+BDsAAABb2ekCxaU7Th2QMPvbWeND46VSVRpO\nGdHPcjWTkD0/7QgL6NW9lUrjNWXBpBVfrZ0zdUy8xqVk6YqjZ0+u5sQFTQAAAGxlr58Uk9RN\ne4xo2iPtcP2Fa+s/uq13D3zv42nv2akgAAAApbHLR7EAAADIeQQ7AAAAhSDYAQAAKATBDgAA\nQCEIdgAAAApBsAMAAFAIgh0AAIBCEOwAAAAUgmAHAACgEAQ7AAAAhSDYAQAAKATBDgAAQCEI\ndgAAAApBsAMAAFAIgh0AAIBCEOwAAAAUgmAHAACgEAQ7AAAAhSDYAQAAKATBDgAAQCEIdgAA\nAApBsAMAAFAIgh0AAIBCEOwAAAAUgmAHAACgEAQ7AAAAhSDYAQAAKATBDgAAQCEIdgAAAApB\nsAMAAFAIgh0AAIBCEOwAAAAUgmAHAACgEAQ7AAAAhSDYAQAAKATBDgAAQCEIdgAAAApBsAMA\nAFAIgh0AAIBCEOwAAAAUgmAHAACgEAQ7AAAAhSDYAQAAKATBDgAAQCEIdgAAAApBsAMAAFAI\ngh0AAIBCEOwAAAAUgmAHAACgEAQ7AAAAhSDYAQAAKATBDgAAQCEIdgAAAApBsAMAAFAIgh0A\nAIBCEOwAAAAUgmAHAACgEAQ7AAAAhSDYAQAAKIQmtwt4Rmq12s3NLcvFTHYoJbdltB/oXdno\nPY2C0Lig96cU5N7TiIiIsEMlyPvya7CTZTk+Pj7LxbR2KCW3ZbQf6F3Z6D2NgtC4oPenFOTe\ngXTl12BnNpsJdhb8gX8avSsbf+DToHfFI9jBdnzHDgAAQCEIdgAAAApBsAMAAFAIgh0AAIBC\nEOwAAAAUgmAHAACgEAQ7AAAAhSDYAQAAKATBDgAAQCEIdgAAAApBsAMAAFAIgh0AAIBCEOwA\nAAAUgmAHAACgEAQ7AAAAhSDYAQAAKATBDgAAQCEIdgAAAApBsAMAAFAIgh0AAIBCEOwAAAAU\ngmAHAACgEAQ7AAAAhSDYAQAAKATBDgAAQCEIdgAAAApBsAMAAFAIgh0AAIBCEOwAAAAUgmAH\nAACgEAQ7AAAAhSDYAQAAKATBDgAAQCEIdgAAAApBsAMAAFAIgh0AAIBCEOwAAAAUgmAHAACg\nEAQ7AAAAhSDYAQAAKATBDgAAQCEIdgAAAApBsAMAAFAIgh0AAIBCEOwAAAAUgmAHAACgEAQ7\nAAAAhSDYAQAAKATBDgAAQCEIdgAAAApBsAMAAFAIgh0AAIBCEOwAAAAUgmAHAACgEAQ7AAAA\nhSDYAQAAKATBDgAAQCEIdgAAAApBsAMAAFAIjb02ZN67fuH2/UE3otTlK9buObhXCYP6mZYB\nAABA+ux0xO7y5nFfbjhSt12/CUO7Gy/tHjt8qfxMywAAACAjdgl2cuKsDedKd5vavkndwOr1\nh04fGB2yc93tmGwvAwAAgIzZI9glRO6/Hm9q3riwZVLvXr+Kk+7PfXezuwwAAAAyYY/v2CXG\nnBJCVDA+3lagUfPLmchsLSPL8scff2ydrFOnTvPmzXOu5nzE2dk5t0vINfReMNF7wUTvmYuK\nirJDJcj77BHszAkxQggv7eMzIby06qSHSdlaRpbl3bt3P57r5aXX67PcdMJ/KDu/yGg/0Luy\n0XsaBaFxQe9PKci9p0Gwg4U9gp1KbxRChCWZfXUpn/w+SDJp3DXZWkaSpCZNmlgnS5cunZBg\nwyt68hf/tXqbqVQqWasVQiQmJsqy/U78yHA/5EbvNj0ozw+9p8OOvavValmjyayYnJH+5uzY\nuHjUuyzLiYmJ9txuXuhdo9HIajW923O7dn6JIV+zR7DTGisJsS84LslXl/I/x4W4ZNdA12wt\nI0nSZ599Zp2Mi4vLa/+daLVaV1dXIUR0dLTZbM7tcuxKp9NptVohRHR0tD1DbV6g1+stvee1\nJ6QdODg4ODk5ybJcAHs3GAwajaZg9m40Go1Go9lsLoC9Ozo6GgwGk8lUAHtHfmGPkycc3Br5\n69Q7D9+3TCZFB/0VlfhiI9/sLgMAAIBM2OVyJ5J2RPtyF5dN3BN04dbl01+Pn+Xo37RbYUch\nxOVNa1as2p75MgAAALCFnX55onTHqQMSZn87a3xovFSqSsMpI/pJQgghQvb8tCMsoFf3Vpks\nAwAAAFtI+fQbUXFxcTExeevyxdbv2IWFhRXA79i5uLgIIUJDQ/PpM+qZ6fV6y5UIHjx4kNu1\n2Jv1O3ahoaG5XYu9GQwGR0dHs9kcFhaW27XYm+U7diaTKTw8PLdrsTfLd+ySk5MjIiJyu5Z0\neHl55XYJyH12+kkxAAAA5DSCHQAAgEIQ7AAAABSCYAcAAKAQBDsAAACFINgBAAAoBMEOAABA\nIQh2AAAACkGwAwAAUAiCHQAAgEIQ7AAAABSCYAcAAKAQBDsAAACFINgBAAAoBMEOAABAIQh2\nAAAACkGwAwAAUAiCHQAAgEIQ7AAAABSCYAcAAKAQBDsAAACFINgBAAAoBMEOAABAIQh2AAAA\nCkGwAwAAUAiCHQAAgEJIsizndg3PIi4uLiYmJrereMKVK1eWLl0qhPjoo49cXFxyuxy7Cg4O\nXrVqlRBi/PjxBoMht8uxq1OnTq1fv14IMXXqVJWqYP2n9Oeff37//fc6nW7ixIm5XYu9HTx4\ncOfOnU5OTmPGjMntWuxtz549u3fv9vT0HDFiRG7XYm+7du3av39/4cKFBw0alNu1pMPLyyu3\nS0Du0+R2Ac/IYDDktQBx9erVoKAgIYSjo2NBe3WZzWZL725ubs7Ozrldjl0lJiZaevf09FSr\n1bldjl3FxcUFBQXp9fqC9oQXQkRFRQUFBXl4eBTA3iMiIoKCgvz9/Qtg7w8ePAgKCoqOji6A\nvSO/KFgHGAAAABSMYAcAAKAQ+fWj2DxIr9f7+/sLIQra53FCCAcHB0vvBe1LZkIIo9Fo6V2S\npNyuxd4cHR39/f31en1uF5ILnJ2d/f39XV1dc7uQXGDpvVChQrldSC5wcXHx9/f38fHJ7UKA\nDOXXkycAAACQRoE7vgIAAKBUBDsAAACFINgBAAAoBCdPpDi9e/3GnfsuXL9j0hh9Aso0fKNT\nx8blntfK1/bp9FeTaV92Lvm8Vvi8jO/c/mRMYucl6zv7GlOPB33ab+KRuyXaz5rTvfR/30pe\na//AgK5f3Ix6elySdFu3bsqJLdpnD5z/auCoXfdWbd7oqk45jePnwe8svBY9c8Pm0g4pJ/QE\nTeoz5Yxu83eLbPyXzg6V5+gmMn+se7R7s/K81SP8c/zKi3ntJWD194c9Jp0PTzNo9O64flnX\nNIOtW7d+c+n63oWMacbzbGtWz/DeHn37ZrSDj6+77pk3mvd3CxSMYCeEENe2Th63/OSrHXq3\n71NGb46+dPLg6nmjL8bOHteyRG6XluMktfT76gudP6z6eEhOXBb0QK3cczwrDxs/LSFZCCGb\nosaO//SF9z/uUcRZCCFJ+fsAduEWleWdP259ENe9kFEIIcvx60KiZdm8/lz4uGopF1P99d+H\nTkXez999ZodSH+vnyMGt8f9GNUk9otalc8pn8+bNyxny39+BxY1bAAAgAElEQVSLZ3tvPzBx\n1M6aE+f1LWu3OoHnKP+9UHPCio2nCjf+3+CuVSyT5Sq9WE53deTKGaLlAhvXYDLLalW+TEKF\nGlW+f3BZojxP96j86JBvbwnfei4Prtu8kvzVvmuZcpZrVMimcCGEc6nyFcu65W5Jz4WTXwe9\naueJA/e6ty8uhIi7tzncpOteXLd9wzlRrb4QwpQYcuRhYoU+5f/jhvLRw51zj7VsipfUDs9l\nVblLpfWuWLFiJgtYOn3//fftVtJz9N/f27OkmGcCFINgJ4QQsSY5Ifxu6pHirQeMLRkhhBBy\nUus2b72zfEMHr5RfMOvStk2dBWsHF3YSQvRo92bLOVPPfTr975CHTu6F6jTv9UHHukKI+Acn\nlyxcfyL4YpzGu17rHqn/kiRG/LNs4eojpy49TDR7FS7drMsH7V/yv7D0g3EHK2xcmfLWGXlp\nUfcRexdu/NZfl+OXxHMp1l29f9S3N6N6Fkn5QOr8qkOeVfvrL3xuXcaUELJmwZLf/zoXmaQq\nWqZa+34D6pdwVkb7j2X6QJuTQzcvXfzz4VNhCSr/UlXe7PHuq+XchRD3gn76as2O4Bu3VY6e\nVRq0GtSzlUElZbIHcrR9SePeysPw829nRPviQoiQnX8YvNs16Bq8dsa3Jrm+WhKxd7eaZfn1\nah6ZdJTJY5fRw53RqjLaP7myczJiTgr/ZtqUXccvqoxedZr1Hty5rhCZPRm6tG3TZcnXd5fP\n3nvGsHr1uDz1BHi+0nRq/Sg2f7WW2Xt7BjUv7tnhx7B4sW3k23tf/m71cBufCfnyTQ8KxecR\nQgjRp02lB0Hze4+YuGrTjycv3EiUhdqhdI0aNWy5744x04u9+cH8xQsHtS3/69pP19+LlZND\nJ3ww5Wioe6/hE8YM6hT2y+xtoXHW5VeMmnw4rMjg8VNnTZ/Suop59RcjHySbi7Z/IyFi1/Ho\nJMsyx78+6la6j51e4Sp9n2qeB1cGp0zKicuPP6jXI/V3UOSvhn248x9zjyFjp08Y+aLj1Vkj\nh5yNTVZI+7ZZ/dHQH/5RvzNk7BdTxzR7QZ77Uf9fbsUmx579YPJXqhptJnw6Y1T/tv/8uHzq\nzyFCiEz2QE63/9IrhWLv/2CShRBiz767/m/U9aj0tikhZHtYvBDizu5zGofiDVz1GXWU+WMn\n0nu4M1qVECLd/ZOLOyddf08dL9VsP2Pe/IFty+1e9+l3D+KyvMuheZMdq7f99IuBefAJ8AzM\nSffPPcn8VKfWhfNXayKr9/Z0a+779bf9fJ2Ktvhs3TcjM1+5df8o8k0P+RdH7IQQ4oXOE+dV\nOLDn4NHjuzduWrVY7eBWqVb99j26VfbO+gC7Y52RPV6rIoQo0mZYibUHgu/H37+64Hy8w6zp\nI0o6qIUQL5Q3dHznE+vyhZp1+ODVljVcdUKIAN+3v94+5Wp8cg335tWdlq3bd6daiyLm5NCv\ngyPqTq+dY+2mVa57vdBhS+PNNRxUUtTNtbck/67+TosfzY29u+7nm9FDV4xt5OkghChTIfBs\nl3eWbrk2+51Symg/S/GhP2y5+HDauhGBRo0QolTZisnHuq5f9E+9D87FmeU33mj4gptelC45\n5WP32wYnIcT9oAz3QE63X/i16qZNm36PTGhkuLcrPKFPw0IaY7EGrvq9v9x6s3PJ44fvOxcb\nKGXcUdVWOzN57ER6D3e8+pd0V/XalBqJ0UFP75/7QXNza+eky73K8B5NqwghAt4c4bPm4Lmw\nBPHo2ExGIgv169SkshAi9t6OvPYEeAbxEXtGj96TemT9D1uNKil1p1b5qzWR1Xt7ujV7Oek0\nkpDUGo1GLWRzJiu37p97xyYr7E0P+RrBLkWxKvV7VakvhIgLCznx19Ed322YMCBozpr5RbM6\nL8q3aTHrbRe1Ssji/v4QB/fXSj46D1HnXKu6kzb00TJt3mx26uihLddD7t69e/mfP6337dzE\nb9zmn0WLvmGnlsRoCvcp7fI828uUU0DXANXWb65GvVfS5fyqQ97VB2pTfYEq8txptT6gsWdK\nxpVUhjf9jAsOXxfvlBKKaD9L0TePy7L8cad2qQcdk28aPNs0LP3r5N59K1avVqF8+arV69Qs\n5iZEZnsgp9s3eLdzUm/+/Ux4dc91QhfQ3N1BCNGyjs+EX/eKTgHbQ+OL9yqbSUeZP3YivYc7\no1UJUSPd/XN2Rq7tnHT5N3vckbNtXxz0e7WI5UYefAI8g3TPgbWwdmqVv1qzyPC9Xa/OqGYb\nWfeP8t70kK/xUaxIfHho2rRpdxJT/jMzePjXfa3dxDn/MyWErLn29IUS5OQnf4NNa3jq4PlT\nfx5cNCn72Zz0YPK7vb7YcCBG5RJY85X+Hz0+1F/kzdbxodvPxCbtX3amUN3+Dvb8crqk7V3d\n+9iK00JOXHEitME7T5wLJstCiCeKUakk6z+ySmg/fY8faI2jTlI7btr8hNULW0tqlxGzVs6d\nOqR2Ga8bp34bP7jXxJUnhMhwD9ihfUnt1M7bGLLjyqUN511KdLJc9qRI25rxoTv+vftTZLL5\njUrumXSUyWNn8fTDneGqhEh//+TezkmXwWjLh19PvOqNzin/D+fBJ8DzZe30sXzVWubv7ZnU\nnLH0nwlKedODQnDETqh1fn8ePao9eu/D+r7WQVNcuBDC10lrmYx+9GqOD98Xb87i13V9GvjH\nH/j1SnzXEg5qIYQp/t8jDxMsq46+uSzoftLKxePd1JIQIiFyr/VeDu5Nazkt/ubXw1duRvec\nZO/T7Mt2bxg26Ovb187flop1KuyYepZbhUBTwsa94fGvuDsIIWRz/NaQGM9UxznSyI/tW6X7\nQBsLvS7Mx3beT3qzsOUiXvLy8R9FNhzS0/fY5mOmvr3fKlqhRishrm0fOWz1N6LH7Iz2gH3a\nr/Ga37pN2zaKiFIjU74oafTt4Kr+YcGWnzSGsnWddZl09E7Gj11GMlrVsCaFw8/88PT+GTgq\nN3dOtmT5qk+3wVx/AuSo/NVa5u/t0TcXZ1RzGlk+E/L1mx6UhyN2Qu1Q8uOWLxycNWz+2q3H\ngk6dORV04NcfJg2b41Lyje5+jkLSvmDUHliw6VLIvWvBf88Zt0TK6gJvXlUHlNXHjh8z+8jx\nc8EnjswZM9FZn3JUQOtcRpaTfzhw5t6Du8FBe74Yu1IIcf1OhOU/yo6v+19cMVvlXLdVVt/y\nee4cfTuV1EROnvmrd61emif7Mxbq0tTf8avR0w/8ffZy8Mk100cEJ7m+2yHDYJcf2xdCZPJA\n65xr9K3quWb0lF0H/r56+fwPiz/afi60cV1vrVvMth9Wzt2y9/zlaxfOHN2865ZjQL1M9oB9\n2i/0yktJsWeDY5PaV0g5NVVSGTv7O13adcul5FuZd5TJY5eRjFYlhEh3/+TuzrGVba/6vPkE\nyFH5q7XM39szqVklibjbIeHhD218JuTXNz0oFEfshBCiVr/pE4qt+/7nXV9uvReXLLn7BFRt\n3H3kOy0sEWfcpHc/n/fd6IGbE81yhabv14lclvnaJI3n5HljF85dNfuTMcLBq0GH0e8dnbVa\nCCGEwavdxJ73lq6aviNWXbxMlS4fL3CdOWj1qA9qrPu2qF5dpE0bedPsYu0653jD6RSt7lXb\nZ+zeW53HlnlqnmrAl587L1jy9RcTHiarAspUHz5jQEWjNsM15cf2hRCZPtAt//dlwpL53301\nPTxJ61+i8vBPx1Zx1ArHrhN7R3/z47LfV0U7unuXrvT6tAFtRcZ7wD7tO3i2ctesiXV8qYLx\n8au7WvtiYubp4u1KZdGRyPCxy0QGqxJOAensH0mjzsWdYztbXvXpNihy+wmQo/Jda5m8t2sy\nrjmwTe1Vy+e+P7LB+mXDbHkm5N83PSiTDNuYzQlhDxNydBOx97e1bv3mmZikHN1KnpVH2rfD\nA52uPNJ+3pRbO8eeTwYFPwEU0FoOPRMUsGeQB3HEzlaSpHPPuZ+UlJOTzKaf52xxKtIl0Fjw\nHpS81H7OPtDpykvt5zm5unPs9GRQ8BNAKa09/2eCUvYM8iCeT3lCQuTvb3efp9K6vz/3jdyu\nJRfQfkFuP3MFYecouEcFt/YfsWeQcyRZzuIcT9iDnHzz0mVd4ZI+BfNfN9ovyO1nriDsHAX3\nqODW/iP2DHIMwQ4AAEAhuNwJAACAQhDsAAAAFIJgB+QzD6+NkySp6/mw3C5EbBjXuYi3k1fp\n3rldyGOBjrrCdX/K7SoAINfwtU0AzyLmztJOn6wv/ubIGe2b5XYtAIAUBDsAzyLu/o9CiH5z\n/9eziJ2v+wcAyBAfxQJ4FrLZLITQq7L46WQAgD0R7IC87s/1nzWpUdrZQefpV6bTkNn3Es2p\n557btuDNV170cnXU6Ax+pSr3GDU3LFkWQpxb+LIkSfNColMta37V3eDkZ+tX4u4e3di1eV1v\nNyedo2vZmk0mf7PXOuuHQG+fqtuFECMDnB293858PZ+UdtfoC8eaU66sdGPXG5IkuRQZZV1g\nX5cykiR9czfWMhl9bf/QTq8X9XbTO3qUq9Z40uKdqRvOfO4T5MSZncqr1PoR687Z2DIA5Hu5\n/ZtmADJzcn5HIYSDZ7Vegz768L13yjpq3auUFkJ0CQ6VZfn6jgEqSXIr98rIsZOmTRr/zmuB\nQogyXXfIshwf/ptKkgIH/2FdVeSVaUKIeovO2bLde39+4aJRaR3L9hgwatLoD5qUcxNCNBm3\n1zL37sE9GxbWEUL0W/P9r3uOZ76qs/PqCCE+ufbQMrmjaREhhEptvJ1osox09XHUu7xsuR0d\n8n0pg1ZrLN5z4MipE0a/3bCkEKJq9xW2zJVluYJR61dnpyzLsjlpdtdASaUdsvqMLf0CgDIQ\n7IC8Kznuoo9ObSzU6szDRMtI9M3fXjBqrcFuZaCXxqHotfhk612G+TsbPFtZbg8NcDZ4vGGd\n9XPHUpJK/1dUog1bNnfwMWqN5fffjrFMm5Luj6jmJakc9kem/BT6vROthBAzbkZlua6Yu6uE\nENWnnbBMvubuUOiVOkKIoefDZFlOijmtlqQSb/5smTsx0FNrLH/4QZz17t8PryqEmHopIsu5\nsjXYmZPm96gkSdoPVp62oVkAUA6CHZB33T7UXgjx5q7rqQePjaxkDXYx4aGhYdHWWWZT9IDC\nTg5ur1om/1n0shDi69vRllnljVqvyrNs2W7s/U1CiIpD/kg9GHZupBCi0cZLlknbg50syy+7\n6t1KTpVlOeHhESFE92NnndWqSiOOybJ891hXIUTfoHuyLCfFnFFLkmXcKiFinxCi0shjmc+1\nTFYwan3rbF/Uu6oQonibH2ypDQCUhO/YAXnXvQNXhRCdXvRKPViqVzXrbaObR+y/B76cMqZv\nt45NG9Yu4um58NbjL9WV7DxFJUnz5gQLIR6cHHUuNum12R1t2W58+C4hRMnuJVIPOhXpLoS4\n/cudZ2hk/Ct+D6/PCEs2h52aKUnqjyuWHRbgfG3jFiHEP7OOqjQuUwI9hRDxYT+ZZPn0zFpS\nKnq3hkKIyNORmc+1but+0DsDV12p5aa/sWvA4YeJz1AtAORfXO4EyLtUGpUQIs2JpyoHd+vt\nzSNeffvL3/2rNW7VqE7Ll5uNmFwl5N2mg+6lzNW7Nhoa4PTVss/Ep9/tHrZVoy86t76vbVtO\n5yekJUkjhJCTn+XXpauNb2TeumL61YfNZgcZvTuXM2jadCsx9dN595I+Wbrnllupyb46lRBC\nqHRCiEqjln/RuHCaNehdqwrVP5nNtZZulqbtPN3bbblPrQkd2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**i)Total Number Of Rides By Members And Casual In Each Hour Of The            Day:**","metadata":{}},{"cell_type":"code","source":"trip_2022_clean1$hour = hour(trip_2022_clean1$started_at)","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:09:12.841106Z","iopub.execute_input":"2023-04-01T07:09:12.842169Z","iopub.status.idle":"2023-04-01T07:09:13.104722Z"},"trusted":true},"execution_count":103,"outputs":[]},{"cell_type":"code","source":"trip_2022_visual = trip_2022_clean1 %>% \n  group_by(member_casual,hour) %>% \n  summarise(no_of_rides = n(),.groups = \"drop\") %>% \n  arrange(member_casual,hour)\nggplot(data = trip_2022_visual)+\n  geom_point(mapping =  aes(x = hour ,y = no_of_rides,  fill = \"black\"),position = \"dodge\")+\n  geom_line(mapping =  aes(x = hour ,y = no_of_rides,color = member_casual),position = \"dodge\")+\n  labs(title = \"Total No Of Rides By Casuals And Members Vs Hour:\",caption = \n         \"Done By Arun Kumar In Jan 2023\")+   \n  scale_y_continuous(labels = function(x) format(x, scientific = FALSE))","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:09:13.107042Z","iopub.execute_input":"2023-04-01T07:09:13.108292Z","iopub.status.idle":"2023-04-01T07:09:13.599706Z"},"trusted":true},"execution_count":104,"outputs":[{"name":"stderr","text":"Warning message:\n“\u001b[1m\u001b[22mWidth not defined\n\u001b[36mℹ\u001b[39m Set with `position_dodge(width = ...)`”\nWarning message:\n“\u001b[1m\u001b[22mWidth not defined\n\u001b[36mℹ\u001b[39m Set with `position_dodge(width = ...)`”\n","output_type":"stream"},{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAABmJLR0QA/wD/AP+gvaeTAAAg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\nQD8i2AVzBgaK73jcYf/L+t+QNAB9Z35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nFqvVCqC8vNzoWhoXExNTWVnp9/uNLqQRNptNURSv1+tyuYyupREWi0VV1crKSqMLaYQkSQ6H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+NbHhpD27xBPlAPxXjuSRN+GdhANjSvuO5u1bTIf246pxCGI9vomxac7kf592LXJ7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**j) Mean Ride Distance In Each Hour Of The Day:**","metadata":{}},{"cell_type":"code","source":"trip_2022_visual = trip_2022_clean1 %>% \n  group_by(member_casual,hour) %>% \n  summarise(mean_ride_distance =  mean(ride_distance)) %>% \n  arrange(member_casual,hour)\nggplot(data = trip_2022_visual)+\n  geom_point(mapping = aes(x = hour  , y  = mean_ride_distance, fill = \"black\"),position = \"dodge\")+\n  geom_line(mapping = aes(x = hour , y = mean_ride_distance , color = member_casual),position = \"dodge\")+\n  labs(title = \"Mean Ride Distance Vs Hour : \",caption = \n         \"Done By Arun Kumar In Jan 2023\")+\n  scale_y_continuous(labels = function(x) format(x, scientific = FALSE))","metadata":{"_kg_hide-output":true,"execution":{"iopub.status.busy":"2023-04-01T07:09:13.601761Z","iopub.execute_input":"2023-04-01T07:09:13.602833Z","iopub.status.idle":"2023-04-01T07:09:14.589615Z"},"trusted":true},"execution_count":105,"outputs":[{"name":"stderr","text":"\u001b[1m\u001b[22m`summarise()` has grouped output by 'member_casual'. You can override using the\n`.groups` argument.\nWarning message:\n“\u001b[1m\u001b[22mWidth not defined\n\u001b[36mℹ\u001b[39m Set with `position_dodge(width = ...)`”\nWarning message:\n“\u001b[1m\u001b[22mWidth not defined\n\u001b[36mℹ\u001b[39m Set with `position_dodge(width = ...)`”\n","output_type":"stream"},{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAABmJLR0QA/wD/AP+gvaeTAAAg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\nO4469V8AzCZbXCSc2m50T2lt06d018D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8dJrzdw1nxz4GAAji8/y3zpGVGbsF1l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c4oIXdo5AYAt2okhHjLLmiiHD/I6dP/0ZdLhhwIRR7PPBkEapSMin8mrBWi1JHoEA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r6RYMXI29GipXJr7969kRlTkBz2ev/1eAF0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\nUddpfvnznz3zzKh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**k) Mean Ride Duration In Each Hour Of The Day:**","metadata":{}},{"cell_type":"code","source":" trip_2022_visual = trip_2022_clean1 %>%  \n group_by(member_casual,hour) %>% \n  summarise(mean_ride_duration = mean(ride_duration),.groups = \"drop\") %>% \n  arrange(member_casual,hour)\nggplot(data = trip_2022_visual)+\n  geom_point(mapping = aes(x = hour  , y  = mean_ride_duration, fill = \"black\"),position = \"dodge\")+\n  geom_line(mapping = aes(x = hour , y = mean_ride_duration , color = member_casual),position = \"dodge\")+\n  labs(title = \"Mean Ride Duration Vs  Hour : \",caption = \n         \"Done By Arun Kumar In Jan 2023\")+\n  scale_y_continuous(labels = function(x) format(x, scientific = FALSE))","metadata":{"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-04-01T07:09:14.592681Z","iopub.execute_input":"2023-04-01T07:09:14.594468Z","iopub.status.idle":"2023-04-01T07:09:15.144208Z"},"trusted":true},"execution_count":106,"outputs":[{"name":"stderr","text":"Warning message:\n“\u001b[1m\u001b[22mWidth not defined\n\u001b[36mℹ\u001b[39m Set with `position_dodge(width = ...)`”\nWarning message:\n“\u001b[1m\u001b[22mWidth not defined\n\u001b[36mℹ\u001b[39m Set with `position_dodge(width = ...)`”\n","output_type":"stream"},{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAABmJLR0QA/wD/AP+gvaeTAAAg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\nnfHs6PijDUBukYmPnwNg4U1TdgWMLmO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rsIomfnAhCVlWrRHruzEBGx2BE5hNBD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\na/a8aADoMaz6x5+crd9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3fs/ef2/gDd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**l)Total Number Of Rides By Members And Casual In Each Type of                Bike:**","metadata":{}},{"cell_type":"code","source":"trip_2022_visual =  trip_2022_clean1 %>% \n  group_by(member_casual,rideable_type,month) %>% \n  summarise(no_of_rides = n(),.groups = \"drop\") %>% \n  arrange(member_casual,month)\nggplot(data = trip_2022_visual)+\n  geom_col(mapping = aes(x = rideable_type , y = no_of_rides, fill = member_casual),position = \"dodge\")+\n  labs(title = \"Total Number Of Rides Vs Type Of Bike:\",caption = \n         \"Done By Arun Kumar In Jan 2023\")+\n  scale_y_continuous(labels = function(x) format(x, scientific = FALSE))","metadata":{"_kg_hide-output":true,"execution":{"iopub.status.busy":"2023-04-01T07:09:15.146761Z","iopub.execute_input":"2023-04-01T07:09:15.147879Z","iopub.status.idle":"2023-04-01T07:09:15.648344Z"},"trusted":true},"execution_count":107,"outputs":[{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAABmJLR0QA/wD/AP+gvaeTAAAg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\nfuFlBs74+/pLqjlsRd8ywXGHP+g2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ir\nk8a0qZD69sRhK44miMjBpeOnL/61yT2DJozoF3Dgh3FPzdcvbZLbIk/bXS8CAABQRkEEu/TU\no3O3nG35/ISubZtUqlr73mFT2ocaV8zdI7pt2uLdFfu+1L1dkxoNWox4dVjCsZWfnUgUkVwX\nedruoisAAAC1FEiwSzlcply5juWDLzVo9UKstosJqRd/OpKS3qFNCWerNaxFnSDLpvWnRCS3\nRZ62u+iqAHYcAACgIBXEHDtLSIsZM1pkvrQn7HnveELZQRVtiZ+LSPWAyzXUCDB9//dFEbEl\n7shxka2FZ+0uusp8efr06djY2MyXxYsX98I+36yMxpt08qLJVEDTVW9cBoNBRDRN41ghRwaD\ngXPjeqSlpfm6BBQKBf1bdHjTt2/Oej+tfMdn28fYDyeKSKT5chSINBvtcXYRcaTmvMjTdhdd\nZb5ctGjRwoULM19u3LjRarV6b49xUwgNDfV1CTcGs9nMsUKOAgICAgICfF3FDezs2bO+LgGF\nQsEFu9Tze96b+eZ328+16v7o5D5t/DQt3hogIufsjmhLxifCZ+3ppjCTiBhyWeRpu4uuCmi3\nAQAACkoB5Zv4Qz+MfHq2sXaH1+b3qxLp52w0B9QSWb8n2R5tybhCtjc5LaRGiItFnra7HsWp\nd+/e7du3z3yZnJycnJycf4dCbRaLxdcl+MaFCxd8XUJhFxgYaDab7XZ7YiK3LuEKzou4SUlJ\nNpvN17UAN7yCCHa6I2nyM3OsbR+b9WgbLUu7X2jrGMuclb+cua1DSRGxJ2zdHG/r3jraxSK/\n0NIetbsexalYsWLFihXLfBkbG6vrPA7lGt20c+yY3ZInh8MhIrquc6yQI4fDwbkBXL+CCHZJ\nJz/alWR/uHbgls2bMxvN/pXq1AgZ2b3q0wsmro0aXTU0dcWb0wJj2vctESgioplzW+Rpu4uu\nAAAAVKIVwNWp4z8+M2T6zmyNIeWf+2jGLaKnr144Y/HqP2JTtAp1Wg0ZOahi5u2ruS3ytN31\noqtwxe56WK3WIlt2+LoKHzhTs4qvSyjsgoODrVarzWaLi4vzdS0oXCIjI0UkISEhJSXF17Xc\n2JxHEje5ggh2NxaC3fUg2CE3BDvkhmDnLQQ7SIF9pRgAAADyG8EOAABAEQQ7AAAARRDsAAAA\nFEGwAwAAUATBDgAAQBEEOwAAAEUQ7AAAABRBsAMAAFAEwQ4AAEARBDsAAABFEOwAAAAUQbAD\nAABQBMEOAABAEQQ7AAAARRDsAAAAFEGwAwAAUATBDgAAQBEEOwAAAEUQ7AAAABRBsAMAAFAE\nwQ4AAEARBDsAAABFEOwAAAAUQbADAABQBMEOAABAEQQ7AAAARRDsAAAAFEGwAwAAUATBDgAA\nQBEEOwAAAEUQ7AAAABRBsAMAAFAEwQ4AAEARBDsAAABFEOwAAAAUQbADAABQBMEOAABAEQQ7\nAAAARRDsAAAAFEGwAwAAUATBDgAAQBEEOwAAAEUQ7AAAABRBsAMAAFAEwQ4AAEARBDsAAABF\nEOwAAAAUQbADAABQBMEOAABAEQQ7AAAARRDsAAAAFEGwAwAAUATBDgAAQE8fZuYAACAASURB\nVBEEOwAAAEUQ7AAAABRBsAMAAFAEwQ4AAEARBDsAAABFEOwAAAAUQbADAABQBMEOAABAEQQ7\nAAAARRDsAAAAFEGwAwAAUATBDgAAQBEmXxdQ6ISHh2ua5usqcIOJjIz0dQk3BovFwrFCjoKC\ngoKCgnxdxQ3s7Nmzvi4BhQLBLrsLFy74uoQbmMVi8XUJvnH+/Hlfl1DYBQYGWiwWu92ekJDg\n61pQuISFhYlIYmKizWbzdS3ADY9gl53D4dB13ddV3KgcDoevS/CN9PR0X5dQ2Dl/rXRd51gh\nR5wbgFcwxw4AAEARBDsAAABFEOwAAAAUQbADAABQBMEOAABAEQQ7AAAARRDsAAAAFEGwAwAA\nUATBDgAAQBEEOwAAAEUQ7AAAABRBsAMAAFAEwQ4AAEARBDsAAABFEOwAAAAUQbADAABQBMEO\nAABAEQQ7AAAARRDsAAAAFEGwAwAAUATBDgAAQBEEOwAAAEUQ7AAAABRBsAMAAFAEwQ4AAEAR\nBDsAAABFEOwAAAAUQbADAABQBMEOAABAEQQ7AAAARRDsAAAAFEGwAwAAUATBDgAAQBEEOwAA\nAEUQ7AAAABRBsAMAAFAEwQ4AAEARBDsAAABFEOwAAAAUQbADAABQBMEOAABAEQQ7AAAARRDs\nAAAAFEGwAwAAUATBDgAAQBEEOwAAAEUQ7AAAABRBsAMAAFAEwQ4AAEARBDsAAABFEOwAAAAU\nQbADAABQBMEOAABAEQQ7AAAARRDsAAAAFEGwAwAAUATBDgAAQBEEOwAAAEUQ7AAAABRBsAMA\nAFCEydcFKC749Rd9XUKB69DL1xUAAHCT4oodAACAIgh2AAAAiiDYAQAAKIJgBwAAoIiCvnni\ng0cf9Htxbu+i/s6Xp34dN+jlv7Ku8MiHn3cK8xMREce6RW9//dPWo/HGajUb9X98QDl/4zW1\nu14EAACgiIIMdvr+De8vO36hh65nNl3484J/xF1PDKqR2VI+0OL84eDS8dMX/9t32PCHwtK+\nmTd73FNpn8wZonne7qIrAAAAlRRQsDv584zx72w8fTE1W/vpXXGh1Zs2bVoj+wa6bdri3RX7\nTuverpyIVHxVejz4+mcn+vaJNnvWXjww166KBxbAjgMAABSYAgp24bW7j53Q2WE/NWrMq1nb\nt8elhtULTU+OOxPviCoWmnkVLfXiT0dS0h9vU8L50hrWok7QzE3rT91750GP2vv0Lp9bV316\nl88YKzU1NfVy4tQ0ruXBY5w2eco8RBwr5IZz43roWT4Nw82sgIKdJaRkxRBJt/lla9+WYHds\nmNXzzT12XTcFFr2jzxOP3FVbRGyJO0SkesDl8moEmL7/+6KthWftLrrKfDlv3ryFCxdmvty4\ncaPVavXKXotI9kuUUFRERISvS7gxWCwWjhVyFBQUFBQU5OsqbmBnz571dQkoFHx5V2y67dhF\nzRgR3mTOp1988fF7T3Sp9O388R/suSAijtREEYk0X77FIdJstMfZPW130VV+7x0AAEAB8+VX\nihktMUuWLLn0KrLVfWP3ft9r7bt/93+jucEaICLn7I5oS0b0PGtPN4WZPG0XEReLnDp06FC9\nevXMlykpKTabzVv7aPFWRyjc4uPjfV1CYefv728ymdLS0pKTk31dCwqX4OBgEUlJSbHb+Sc3\ncL0K13fFNijmv/b8GRExB9QSWb8n2R5tyfhUdG9yWkiNEE/bXXSVOWilSpUqVaqU+TI2NtaL\nMxUIdjeJrNM0kSOLxWIymRwOB8cK2TiDXVpaGucGcP18+VHshb2zHx447JTNkfFaT19/Iim0\nemUR8QttHWMxrvzljHOJPWHr5nhb/dbRnra76KoAdxQAAKAg+DLYFSnfKyLp1JgX5m3+e+++\nnX9+NmP0T4nBgwdWFhHRzCO7V923YOLarXuPH/zr3eemBca071si0ON2F10BAACoRSvIG6TT\nbf/d3X1oz3cXPVAswNmSen7n+3M/2bh9b4qpSPmKNe9++JHGpS5FLj199cIZi1f/EZuiVajT\nasjIQRWdd7Z62u560VW8+1Fs8OsvequrG4Vfh16+LsEHztSs4usSCrvg4GCr1Wqz2eLi4nxd\nCwqXyMhIEUlISEhJSfF1LTc255HETa5Ag90NgWB3nQh2yBHBDrkh2HkLwQ7i249iAQAA4EUE\nOwAAAEUQ7AAAABRBsAMAAFAEwQ4AAEARBDsAAABFEOwAAAAUQbADAABQBMEOAABAEQQ7AAAA\nRRDsAAAAFEGwAwAAUATBDgAAQBEEOwAAAEUQ7AAAABRBsAMAAFAEwQ4AAEARBDsAAABFEOwA\nAAAUQbADAABQBMEOAABAEQQ7AAAARRDsAAAAFEGwAwAAUATBDgAAQBEEOwAAAEUQ7AAAABRB\nsAMAAFAEwQ4AAEARBDsAAABFEOwAAAAUQbADAABQBMEOAABAEQQ7AAAARRDsAAAAFEGwAwAA\nUATBDgAAQBEEOwAAAEUQ7AAAABRBsAMAAFAEwQ4AAEARBDsAAABFEOwAAAAUQbADAABQBMEO\nAABAEQQ7AAAARRDsAAAAFEGwAwAAUATBDgAAQBEEOwAAAEUQ7AAAABRBsAMAAFCER8HOceLg\nPudPKac3TXh62OPjXll9MD4/ygIAAICnTG6uZ7v4a58Wnb86EG1L3Kmnne9avdX3sckiMmfa\nvA/++ev+0kH5WSQAAADy5u4Vu0XdeizbZXvwqcdE5PSWEd/HJg9buff8oZ/rm4+P6vV5flYI\nAAAAt7gb7Kb8cbpMl8XzJw0RkR0v/WQNaTGzQ6XQss1nPlAx9q9p+VkhAAAA3OJusDuSmhbZ\npJTz5w//OBNR+ymjiIgElg9MSz6QP7UBAADAA+4Gu2ZFrMe+/VNEUi+s/uxMUv1n6jvbN6/4\nzxxQNb+qAwAAgNvcvXnihf6Vm88YcNfALabfP9JM4VNaFk9L2T9/6tQnNp6MajM1X0sEAACA\nO9wNdo1fWzvx2J1T3p9l1/wHTNtQK9CccGzF0PFzg0q2+PiLe/K1RAAAALjD3Y9iDaaI5xdv\nSog/fS4x/t3H64mIX1iH5as2/nd4faswa35WCAAAbjoBRkOl+37ydRW+N71CWEBEZ/fXd/eK\nndOBX9d89r9fj5w+1/LVub3Nx0NL1g4xah5WCAAAgHzhfrDT3x7QfNgHvzhfBDw3q1PCrNb1\nvmk58M0f5g0zke4AAAB8zd2PYg98cs+wD35pO2zG9n3HnC1hlV6bMrjJ+vnDu8zdk2/lAQAA\nX9NtqWl6oe7QJUfahfQCG8zX3A12L41cHV5t7A9vPVG7Yglniymg6ti5G1+oFbF+4qR8Kw8A\nAPjGomqRIWWe3/TOUyVDgvwtxtBi5R94dqFDZPMHY+qVjfK3BpWr3mjiZ7uybpLw708jet9R\numioNTC8ar02L8xb6bi+DncseblVrTKBFmtkTNX7nph6zJbu5nDvV4kIqzA99cIfD9xWPcga\nnpDuVo48sfGTnu0bRgT7BYQUbdzh/i82nclctPur2d1uqx8ZEmiy+BevUPvB0bPOZcmmDvvZ\n2WMfql0h2s9sLhJRqm2vx387m+JcNLpUkSKlRmcd5c8XGmiadjg13c3OPeLuR7FLziZXe6rP\n1e139yv/wtivr23swiksLEzTvPbRss1bHaFwi4iI8HUJhZ3z18pisXCskKPAwMDAwEBfV3ED\ni42NzY9uk05/0nz4+ftHPNeolPWrt1/+5OUH/zm4YOeapKeeGt8v/dDMyW++2Ldhu04Xmhex\niEji8eV1q/U8osXcP2BQxUjj9nVfTBzSafkv72/7sP+1dXhm6/P1P/+lXY8HR3YN3r5+yaJZ\no374ad+RLXP9DeLOcI60cw/WvTO2Rd8psx73N+T9zn5yw0uVbpugR97S75ExxYznvlzwbu9m\n38X9c+jhckWOfjusZrc5Raq0GvjYmHBL2q6NXy58/Ylfj1fY+3En57YzOtYdteZk616Dewws\nFXdk89z5s9v9fOT8seVmNwJFnp17xN1gV9pqjN8Xd3X7+Z0XjdYS1zBwoZWQkKDrXrs+7Oet\njlC4xcXl8NuBrAICAsxms91uT0pK8nUtKFxCQkJEJCUlxWbj38KFTlrKwVFrjr3epoSIPHh/\nDf+IztuW719/8mCzUKuIdKmwvWKftW/+F9+8eoSIvHH7wCNaxfVHtjaJcL77vbJ8ZL27pw2Y\nPOHuceVDrqHDi3vXj/zynzfuriwior/2/tB6D82d98A3zyztUsad4eKPTr4wa/Pq4fXd2lXd\n1rfLZEfo7VsPfFU10Cwiz4zpHhPdZnyflQ//2vvHMZ8brKW2//lDaavzi7deLFqyyNzv5ol0\nEpG05L1Przle6s4laz7LeADcPcHNury/8cuzyb2K+uc5suvOPeVusHu2UbH+H/f77eWdjSMv\nZ5Wk42sHLD4YWf+daxi40LLb7QQ7eMput/u6hMLO4XCIiK7rHCvkKD09nXOjEDIHVHWGMBHx\nC+8UbDQE1JzhDGEiUrRpC5G1yXaHiKQl7Zy061z1p1ZdilkiIh2fnynTWi2es3fc67d42qGI\nBBUfnJHqREQz9Z2+bPj8Kj8/v066POjWcJp14SN13dzT+GPTfzif0nzBTGeqExG/8FbL57z1\nlx4pIt03/NNZt4ZnBC/RHYmpuq6nZ/wzVTP4WzS5sPvLzUfbNywVLCJNXtt45jU3R86jc0+5\nG+zuWfzO82W6tipXt/8jfURk56L3Jl3YseDtT445ii/6oue1jQ0AuFrw6y/6uoQCler8v+em\n+LYM5MhgumLuhEkTa9GwzJeawZz5c8q5Vem6/tfUW7Wrvo7q4l8Xr6FDEQmr1f2Klf0qdgr3\nW3nqZ5EH3RnOElS3mNndewni9v0oIs3aRGVtbPHwoy1ERCQgNPzcpu8+/O6nnXsP/Hvk8O4d\n249dSPULzVjNaC31v5f7dn7241vLfFamZqOmjRu3bHNHj+63h7v30BDXnXvK3WDnX7Tjtu1f\nDXlk5LvTJorIuvEj12vGGq17Lnvr7c7FmRUBAMDNzWARkVqj38u8IJfJGuLuZbNsro5FJk00\ng9XN4TSDB/nEkeoQEUsuk+yXjmzbY/qPMfXa3NW6cedmd458sc6xwe2Hn768QsvRH57u/8zy\n5d+s+2nDxtUffDp/+lNPNl7+94/tI3L46E53XPHBYJ6de8SDBxQXqdTh07UdFpw5tPPA8TSj\nf8lKNUqG8p0TAABA/MI7GrURaReq3HFH08zGtOQ9S7/aHl0n4Nr6PPf3cpH2mS/TUw9/HZtS\npEnb/BiuSOX6Iqs3/nFWyhTJbFw75tGPYsPmTe/Sa/qPpTrO/febwZmL3s+yrT3hn607L0TU\nadB78Kjeg0eJyO5Vk6p3fP6J8dt2zWnirD3rWKc2n8v82Rb/m+vOPeXuJcpM/kXLNWzcrPEt\n9Ul1AADAyeRXcWL18H0fPbjm5OXJYZ8N63rfffcd8ThrZEg4/vaz3x689Cr901FdE9IdXV9r\nlh/DFSnzTJ0gy++PjzqUkhHCbBd/7Tdz/jd/FEtL2pOu6+F1G2SunHTil6nH4kUyLrwlnprT\nuHHjnq9sy1yhbMNbRCQtMU1EAoyGlHPfnr00cTAl9reha49lrpln555ydcVuxYoVbvbStWvX\naxseAACoYcTKt+dXvr9DhZp39+7SoFL432sXf7R6b63+H/Utdo1X7KxF/V7pUv3v+x+6pULw\nth8/X7b+cKk7Js1uEpUfw2nGkBUfD61098xaFVsNeOCOaPOFZfPnnkgPnL2kf0BRv3YRQ398\nvfNw86gGJQMO7vzt3blfVYj2sx3dOuuTLx6+r3tI2RfaFX1nzaSWHQ8OaFyjvOPC4eXvvmc0\nR0ycUk9EuvSt/MJLm+q06Tf6gTb2k3s+mDbzVKRF/ktzjhtQtLfrzj3dEVfBrlu3bm724sXb\nSAEAwI0oqHTPHTtCxox5ecWXC5bbLOUrV58wf9X4h++85g4bzfil3945by1ctvqzc8Elqjw0\nfv70iQ9nToLz+nBluk7fvbLqU1PeWvjmpFQtqEajuz58acYDlUNFZPm2r4cNHrf8zQkfmaPq\nN2g6f/PBxsnv3tJ+4tNDht3b455AS8hXf/0w5okJK1Z9svqTRP+w4vVb9Fky4dVuJYNEpN4L\n695KGvjm0jVPP/qpXddjmvX7/vUzzZuuyhjV4Oe6c0/3QnORydavX5/5s8N++rn7+29KLvHQ\nY4PbNK4ZakzZt/PXua+9eaJU93Urp9WILurpwIVWbGysF3PqzXZ3m4j4dejl6xJ84EzNKr4u\nobALDg62Wq02m41n/uXpJvy7ISL256akpKT4uoobW2RkpK9LgCuO1Lj/zqSVLhmer6O4umLX\nqlWrzJ9/HFJzU1Kln/79vVF4xtS69h3vHjxswG3F63Uf13f3gtvztUoAAIAbmsFapHTJfB/F\n3btiR3+6r8ID6zJTXcbGAdWmD6zcbN4oWbAjH2oDAAC4XoeXda730EYXK1hDWp08vLzA6slX\n7ga7/clpMZac7jMxSHrqf96sCAAAwHvK3v3N+bt9XURBcfee4J5FA/YvHHM49YoHsaSnHnl2\nwb6AYr3zoTAAAAB4xt1gN25un9QL6+vU7DDjo2W/bdu9+8/fV3wyq2Ot2j+cT7lvzth8LREA\nAADucPej2NJd5q2dYeo5et6T/VZnNhotRYfOWDO7S+n8qQ0AAAAe8OArxVo/Mfv4Q0//75vV\nfx84bjf4xVSs1a7j7aWDPOgBAAAA+cezWGYOLtv5vkGd86kWAMBNya9DL9m83ddVFDSef4n8\n4CrY1atXTzNYt275zfmzizW3bdvmYikAAAAKgKtgFxQUpBkyHlwXGhpaIPUAAADgGrkKdj//\n/POlHx3fffedwWI1ay5WBwAAioiPj8+nnoODg/OpZ4ibc+z09PjQgLBGn+5b16tCfhcEAAAK\nA8tL47zep238ZK/3iazceo6dZgwZWS384Hub8rsaAAAAXDN3H1D83M8rax99bNisFbFXfvkE\nAAAACgl3H3fSuec4R1TpOSPunvOkX1Txon7mKxLhoUOH8qE2AAAAeMDdYOfn5ydSolOnEvla\nDQAAAK6Zu8Hu66+/ztc6AAAAcJ3cnWPnjlZVK3mxNwAAAHjEm8Huv38Pe7E3AAAAeMSbwQ4A\nAAA+RLADAAA3uwCj4eF9531dhRcQ7AAAABRBsAMAAFAEwQ4AABQK9oSdo/t0qBwTGhAa3b7P\nmF2Jdmd78qkNj97dMjo0yGQNKFezxStL9zrbD383t9Mt1cMDrUVjyvceOSM+XRcR0VM1TZt8\nND6z23Cz0fkxa279qIRgBwAACgHdNqhes/d2hb76/rdrvpwTseWdlk2fdy55umnnpcerL/hq\nzeYNq59olz6ud6P/bOm2uJ9rdx5m7PjUyp9+W/zWqA2zR3WZ/4/rEXLsJ/93rEC5+4BiAACA\n/HNu99MLD9p+PPdhqxCLiNRae6pD70/O2B1FzYbyQ55d0P+xTkX9RaRqhWefnHnXjkR784vf\nxac7hg7t0zgqQBrU+2Fp8f3BYa6HyLGfkhZjAexdgSHYAQAA3/vvq1/8wm53pjoRCYoZ8vPP\nQ5w/P/nUI2tXLHlt5z+HDx/a9vM3l1Z4sk+DBZ1Ll2vV4fbmzZq179Ctc80o10Pk2I9i+CgW\nAAD4niPVoRn8rm5PTz3aqWKp3pMWXTRGtuj8wJtLPnW2G8yRn2w+vn3N+11uKbl7zQft6pTs\nMHZ1jh3bdFf9KMbVFbs2dWqWe2v1ghbFRaRatWr3/e+P50sHu1h/4oxZXq4OAADcHGI6106Z\ntHRLgr1BkFlEkk59VKHu6E/3HK51eOR3R1JP7P06ymwQkaTTnzjXP7l+6qtfp01/Y0yN5h2f\nEPl7ZuMG40fLK9ucS8/ZHc4fEk98mpjuEJHze3LuRzGugt3x/Xv3TZm/4fk7zAbZs2fPjk2/\n/34i52DXqFEjEen7yKP5UiMAAFBdZN0374r6omP7wQumDC1hOTtr6JOpIb1bh1jjI27RHV9M\nXbx+2G1lj/390yujxonI3wdO3Rp1ccbUSRejYga3q2OIO/jmO3tDqjwtIqJZGxexLn7klftn\nDzHH7po08HGDpomINZd+7mhYRqVJdq6C3Zzhzdu8NqHFdxOcL5d2b780lzV1Xfd2YQAA4Cai\nGYMW/7V21KBnn+jT7kx6SIN2A9fNfVFEgks+/d1rhx9/puebcaY6t7Z74cudxe6vOa5ZrU7n\nz62aen7MWyNbPnMuJLp0g9aD180d5exqxf9m9R74cvPqryWnO5o//HbX0yNd91MjQJ1bDjTX\nmezQ5p+2HDyZruu9e/e+feZ7D0UF5Lhar1698qc8H4iNjfViTg1+/UVvdXWj8OugzsngvjM1\nq/i6hMIuODjYarXabLa4uDhf11LY8XfjJuH1vxuRkZFe7C0+Pt7y0jgvduhkGz85ONjVtC4v\n0h3Jp85LdIR/wQxXSOQRUcs1bFmuoYjIkiVL7ujZs1d0YEEUBQAAcH00g390hK+LKHDuXnv8\n4osvRCTp2J9LVqzedfB4UrqpePkat3fr3qBUUH6WBwAAAHd58KHy0ud73z/581TH5Y8px40Y\n0mPcJ4tfvDcfCgMAAIBn3H2O3aEv7u8+aXGxVg8tXv37sdOx588c37R2ycO3RX0+qXvfLw/n\nZ4UAAABwi7tX7N4Y8VVQTP89P8wPMGjOloat723QqoOjTPTnj02Ve97MtwoBAADgFnev2C06\nk1R58BOZqc5JMwQ8MbxK8pnP8qEwAAAAeMbdYBdkMKScSrm6PeVUimbk/gkAAADfc/ej2BGV\nQsYuHLr5pV8bhlkzG20Xtw5/d29IxVfypzYAAOAztvGTfV0CPOZusBuw5MUJNR5rVrbOQ8MH\nNKtd0U+SD/z1ywdvvbc3yTLriwH5WiIAACh4Rbbs8HqfcQ1qe71PZOVusAutMnTXatMDQ5+d\nO2Xs3EuN4VVazp790ZCqoflUHAAAANznwXPsSrYevG73oP/2bNl54HiqWEuUr16/Wil35+gB\nAAAgn3n6rbdayaoNS1bNeVmrqpXW79l33SUBAADgWnjzitt//x72Ym8AAADwCB+lAgAAKIJg\nBwAAoAiCHQAAgCIIdgAA4GaRdGqBpmmHU9N9XUh+IdgBAAAogmAHAAAKlXS7w4ebu6KnJeRX\n115CsAMAAIVCCatp/PcL6kUHW03m6IqN3vnjzKb3R1aJDrMGRTbp/tS5NN25Wrrt2JShd5cr\nFmoNCq/VqscHv5z0aHMRubh3Wbu6Zf0tfjFVG7/48TbX3YpIuNn45pEjT/VoHR3Tp6AOxjUi\n2AEAgMJi2j3Thrz3w96/Nt4TcGBoi1r3fq598P0f6z577q/lM/t8/a9znXEt6k/92fTSB8t+\nXbPskcb6wy0rvrvvovubi0jn5mNaPTFt7ZoVj7UwT+zX8LnfTrvuVkSWDOwU2nHU+l/fKcCD\ncS00XdfzXss9FfzNB5Lt3urNV2JjY714TIJff9FbXd0o/Dr08nUJPnCmZhVfl1DYBQcHW61W\nm80WFxfn61oKO/5u3CS8/ncjMjLSi73Fx8cX2bLDix06xTWoHRwcnNvSElZT+dk7NwysIiLH\n1t1Zqs3q7QmptQJMIjK+TMhX3X/YMfWWhGPTipR6ev2F5BZFLM6tpleLmF7yoyOrO7qzedKp\nBYHRA7ssOrCiV3nn5qOrhr9nnHD4+/TcuhWRcLMx6qHVu+e18foB8TrPvlIs6difS1as3nXw\neFK6qXj5Grd3696gVFDm0okzZnm7PAAAcBOJapYRTy1hFqO1tDOWiUiEyaA7dBG5sOd/uu5o\nGWLNulWobY9IR3c2d3rsjpjMnx8YUGHWlC8u7Al00a2IVOxf3Xt7mY88CHZLn+99/+TPU7Mc\nl3EjhvQY98niF+91vuz7yKNerg4AANy8cpgwZg7xN5hCExNOalkaNS3HPJPrfLOs21rCLZrB\nmme3RcIt7lbtU+7OsTv0xf3dJy0u1uqhxat/P3Y69vyZ45vWLnn4tqjPJ3Xv++Xh/KwQAAAg\nQ0j5QXr6xbePpFgzWMZ1ajvwk4MedfLW6uOZP38885/QKv280m1h4O4VuzdGfBUU03/PD/MD\nDBlZtmHrexu06uAoE/35Y1PlnjfzrUIAAIAMfuGdprePeab5XYGznmlSOWz1glEzNx77bklp\njzr55sF2r6bOaFsxcN2Hk6bsTpi5s6tfeOj1d1sYuBvsFp1Jqjz+icxU56QZAp4YXuXD5z4T\ncTfYffDog34vzu1d1P9Sg2Pdore//mnr0XhjtZqN+j8+oJy/Ma9Fnra7XgQAAG4kj32zJenx\nwVOG9jyZaq1St/VHPy1vG2rNe7NLjJbi303tMfaFQROOplSq2/CNZX8/VjX0+rstJNy9K7aM\nnzno4Z93zm6crf2Pp2o1mxNvTz7sRh/6/g3vj3x9RY/5nz1QLMDZdHDps09+/G/fYcOrhaV9\nM2/2duNtn8wZorlc5Gm761Guxl2x14m725Aj7op1H383bhLcFYv84O4cuxGVQvYvHLr5fGrW\nRtvFrcPf3RtS8Yk8Nz/584yBfXs+9dryKzKTbpu2eHfFvi91b9ekRoMWI14dlnBs5WcnEl0t\n8rTd9SgAAAAKcTfYDVjyojV5e7OydR4d9+rHi5cuWfzxq+OH1inTdEuS5YUvBuS5eXjt7mMn\nvPzGq2OyNqZe/OlISnqHNiWcL61hLeoEWTatP+VikaftrkcBAABQibtz7EKrDN212vTA0Gfn\nThk791JjeJWWs2d/NKRqaJ6bW0JKVgyRdJtf1kZb4g4RqR5wuYYaAabv/77oYpGthWftrkdx\neueddxYtWpT5cuXKlVar1z5Tt3mrIxRuERERvi6hsNM0TUQsFgvHKk/83bhJePd3ITY21ou9\n4cblwXPsSrYevG73oP/2bNl54HiqWEuUr16/Wqnr+UoyR2qiiESa5t2fLAAAIABJREFUL9/H\nEGk22uPsLhZ52u56FKeUlJSsk340TXO+AwHu45xxH8cKcOJ3AfnBs2+eENFKVm1Ysqp3xjZY\nA0TknN0RbcnIh2ft6aYwk4tFnra7HsWpWbNmISEhmS/tdntaWpp39tDz44sbVGIiszbzYLVa\nTSZTenp6SkqKr2sp7Pi7cZPg7wbyg2d/QM79d/BMYg7fBlulyrXc2mMOqCWyfk+yPdqS8dHn\n3uS0kBohLhZ52u56FKcGDRo0aNAg86WX74r1Vkco3JKTk31dQmFnMpmcwY5jlSf+btwk+F1A\nfnD3o9SUsz90qhoRUapC1Zxc29h+oa1jLMaVv5xxvrQnbN0cb6vfOtrFIk/bXY8CAACgEnev\n2L3Tte+qffGdHx17Z+2yJm/NCtDMI7tXfXrBxLVRo6uGpq54c1pgTPu+JQJdL/K03dUoAAAA\nCnE32L206Uz5Xl9+/XYX7w5fsddLQ1NnfDrtudgUrUKdVpNGDtLyWuRpu+tFAAAgR3ENavu6\nBHjMrW+e0NPjDaYibZYfWtO1bP6X5GN888R14gnyyBHfPOE+/m7cJAr5N0/gBuXWHDvNGHRb\nqN/BDzbndzUAAAC4Zm7ePKEt+maSbdUD/Sd9eCrRa48CAQAAgBe5O8eu+9gVUcXNHz7ff+GE\nh8Ojo/2NV8xSO3r0aD7UBgAAAA+4G+wiIyMjI9uVqZuvxQAAAODauRvsli1blq91AAAA4Dpd\nz3e9AgAAoBAh2AEAACiCYAcAAKAIgh0AAIAiCHYAAACKINgBAAAogmAHAACgCIIdAACAIgh2\nAAAAiiDYAQAAKIJgBwAAoAiCHQAAgCIIdgAAAIog2AEAACiCYAcAAKAIgh0AAIAiCHYAAACK\nINgBAAAogmAHAACgCIIdAACAIgh2AAAAiiDYAQAAKIJgBwAAoAiCHQAAgCIIdgAAAIog2AEA\nACiCYAcAAKAIgh0AAIAiCHYAAACKINgBAAAogmAHAACgCIIdAACAIgh2AAAAiiDYAQAAKIJg\nBwAAoAiCHQAAgCIIdgAAAIog2AEAACiCYAcAAKAIgh0AAIAiCHYAAACKINgBAAAogmAHAACg\nCIIdAACAIgh2AAAAiiDYAQAAKIJgBwAAoAiCHQAAgCIIdgAAAIog2AEAACiCYAcAAKAIgh0A\nAIAiCHYAAACKINgBAAAogmAHAACgCIIdAACAIgh2/2/vvgObqv4+jp+b3UUnUGhBRpkFmYIg\nQxBkyBAFWTJkCIKyBX8CMh0oS6ZsARUUwcF4HMhSQFGRUWgZorJXoaU7aXKfPwIhdKQtBFJO\n36+/cs8995zvvbm5+TSrAAAAkiDYAQAASIJgBwAAIAmCHQAAgCR0ni4g3/H393fjaFY3joV8\nLCAgwNMl5HdarVYIodfrOVY54rpRQLj3sRAXF+fG0fDwIthllJqa6sbR9G4cC/mYe08bKZlM\nJp1OZ7VaOVY54rpRQPBYwP1AsMsoLS1NVVV3jcYFuoDgAp0jvV6v0+lsNhvHKkdcNwoIHgu4\nH/iMHQAAgCQIdgAAAJIg2AEAAEiCYAcAACAJgh0AAIAkCHYAAACSINgBAABIgmAHAAAgCYId\nAACAJAh2AAAAkiDYAQAASIJgBwAAIAmCHQAAgCQIdgAAAJIg2AEAAEiCYAcAACAJgh0AAIAk\nCHYAAACSINgBAABIgmAHAAAgCYIdAACAJAh2AAAAkiDYAQAASIJgBwAAIAmCHQAAgCQIdgAA\nAJIg2AEAAEiCYAcAACAJgh0AAIAkCHYAAACSINgBAABIgmAHAAAgCYIdAACAJAh2AAAAkiDY\nAQAASIJgBwAAIAmCHQAAgCQIdgAAAJIg2AEAAEiCYAcAACAJgh0AAIAkCHYAAACSINgBAABI\ngmAHAAAgCYIdAACAJAh2AAAAkiDYAQAASIJgBwAAIAmCHQAAgCQIdgAAAJIg2AEAAEiCYAcA\nACAJgh0AAIAkCHYAAACSINgBAABIgmAHAAAgCYIdAACAJAh2AAAAkiDYAQAASIJgBwAAIAmC\nHQAAgCQIdgAAAJIg2AEAAEiCYAcAACAJgh0AAIAkdJ6d/tLesf3fPezcMmDlF88EmoQQQth2\nrF2wcdf+MwnaSlXq9h7yUmkv7V21u14FAAAgCQ8Hu7gDcV7BbYf2j3S0lPEx2G+cWj9u1uf/\n9Rj8ap/A9E2L5o8dkf7pwoFK3ttdDAUAACATDwe7y0dvBFSuX79+ZMYVqnnm59ERPWZ2bFZa\nCBExTXTq9cGaCz26herz1l7MJ9uhivk86L0FAAC4nzz8GbuDN9ICawRYU25cvBynOrWnxe86\nnWpt1bS4fdEY2LCar+H3nZfy2u5iqAe1iwAAAA+Ih1+x+yvRYvtlzgtzYyyqqvMp3KLb0AFt\nHxVCmJMOCSEqe98uL9Jb90NUvLlh3tpdDOVYXLt27ebNmx2Lixcv1uv17tpBq7sGQv4WEBDg\n6RLyO61WK4TQ6/Ucqxxx3Sgg3PtYiIuLc+NoeHh5MthZzefiFW2poHrTPpvib73x6+alM5aM\nM5Zb1btigC0tSQgRor/9FYcQvdZyw5LXdiGEi1V2ly9fjo6OdixqNBqdzm2HhQt0AeHGc0Zu\niqJwrHLEdaOA4LGA+8GTZ5XWEPbll1/eWgpp3PWN4z903rY0qvf0BhqjtxDimsUWarj5ZvFV\ni1UXqMtruxDCxSq72rVrK8rtr1JYLBabzeaufeTnZAqIlJQUT5eQ3xkMBq1Wa7VazWazp2vJ\n77huFBBcN3A/5K8/F2oV8dp2/YoQQu9dVYidMSmWUIPRvup4Srp/pH9e210M5Zi0fv369evX\ndyzGxsaqqvPn/e6Jn7sGQv6WlJTk6RLyO41GYw92HKsccd0oIHgs4H7w5F+Gccfn9+03+JL5\n1stjqnXnheSAyuWFEKaAJmEG7ZY9V+xrLIn7/0gw12wSmtd2F0M9wB0FAAB4EDwZ7AqV6Ryc\nfGnMpEV/RB0/ceTAmtmjdyX5vdyvvBBCKPqRHSueWDZx2/7j508dXjp+pk9Y8x7FffLc7mIo\nAAAAuShufNvxLqRdP7Lio093HzyeqitUJqJKh74DHi9xK3Kp1h9Xzf78x32xqUrZao0Hjuwf\nYf9ma17bXa/KxM1vxX4w2V1DPSxMrTp7ugQPuFKlgqdLyO/8/PyMRqPZbL5x44ana8nvuG4U\nEG6/boSEhLh3QDyMPBzs8iGC3T3iAo0sEexyj+tGAUGww/3At68AAAAkQbADAACQBMEOAABA\nEgQ7AAAASRDsAAAAJEGwAwAAkATBDgAAQBIEOwAAAEkQ7AAAACRBsAMAAJAEwQ4AAEASBDsA\nAABJEOwAAAAkQbADAACQBMEOAABAEgQ7AAAASRDsAAAAJEGwAwAAkATBDgAAQBIEOwAAAEkQ\n7AAAACRBsAMAAJAEwQ4AAEASBDsAAABJEOwAAAAkQbADAACQBMEOAABAEgQ7AAAASRDsAAAA\nJEGwAwAAkATBDgAAQBIEOwAAAEkQ7AAAACRBsAMAAJAEwQ4AAEASBDsAAABJEOwAAAAkQbAD\nAACQBMEOAABAEgQ7AAAASRDsAAAAJEGwAwAAkATBDgAAQBIEOwAAAEkQ7AAAACRBsAMAAJAE\nwQ4AAEASBDsAAABJEOwAAAAkQbADAACQBMEOAABAEgQ7AAAASRDsAAAAJEGwAwAAkATBDgAA\nQBIEOwAAAEkQ7AAAACRBsAMAAJAEwQ4AAEASBDsAAABJEOwAAAAkQbADAACQBMEOAABAEgQ7\nAAAASRDsAAAAJKHzdAH5jq+vr6dLwMPHz8/P0yXkd3q9Xgih0+k4VoCdex8LCQkJbhwNDy+C\nXUY2m82No/GKaAFxF6eNZuKY+1FJvmXxdAGeYps4La+bcN0oINz7dAPYEewySk5OVlXVXaPx\n0kQBkZSUlNdNODcKCM4NZOcuzg0gR/xlCAAAIAmCHQAAgCQIdgAAAJIg2AEAAEiCYAcAACAJ\ngh0AAIAkCHYAAACSINgBAABIgmAHAAAgCYIdAACAJAh2AAAAkiDYAQAASIJgBwAAIAmCHQAA\ngCQIdgAAAJIg2AEAAEiCYAcAACAJgh0AAIAkCHYAAACSINgBAABIgmAHAAAgCYIdAACAJAh2\nAAAAkiDYAQAASIJgBwAAIAmCHQAAgCQIdgAAAJIg2AEAAEiCYAcAACAJgh0AAIAkCHYAAACS\nINgBAABIgmAHAAAgCYIdAACAJAh2AAAAkiDYAQAASIJgBwAAIAmCHQAAgCQIdgAAAJIg2AEA\nAEiCYAcAACAJgh0AAIAkCHYAAACSINgBAABIgmAHAAAgCYIdAACAJAh2AAAAkiDYAQAASIJg\nBwAAIAmCHQAAgCQIdgAAAJIg2AEAAEiCYAcAACAJgh0AAIAkCHYAAACSINgBAABIgmAHAAAg\nCYIdAACAJAh2AAAAkiDYAQAASIJgBwAAIAmCHQAAgCQIdgAAAJIg2AEAAEiCYAcAACAJnacL\neDBsO9Yu2Lhr/5kEbaUqdXsPeam0l9bTJQEAALhZgXjF7tT6cbM+31vvuf4ThvX0/nvr2BFL\nVE+XBAAA4HYFINip5pmfR0f0mNqxWb3IWg2HTRuceG7LmgtJni4LAADAzeQPdmnxu06nWls1\nLW5fNAY2rOZr+H3nJc9WBQAA4Hbyf8bOnHRICFHZ+/aeRnrrfoiKdyxu2bJl165djsXx48fr\ndPIfFriXn5+fp0tAPsW5gey499xISEhw42h4eMmfYGxpSUKIEP3tb0uE6LWWGxbH4smTJ7du\n3epYnDRpktFodNfsae4aCPnbXZwznBsFBOcGsuPG5xpBsMMt8gc7jdFbCHHNYgs13Hzf+arF\nqgu8veMRERHNmjVzLKanp7tz+skfuHO0fE+j0ah6vRAiLa1gPTfdzf4WsHNDr9drNBqbzWax\nWHLuLRHOjRwZjUZViPT0dKvV6ulaHqiCdp3EgyF/sNN7VxViZ0yKJdRw82+j4ynp/pH+jg6t\nW7du3bq1YzE2NlZV+dbsXTIajXq9XvC3IzLx8/MzGo3p6emcG8jA/sJVampqamqqp2sBHnry\nf3nCFNAkzKDdsueKfdGSuP+PBHPNJqGerQoAAMDt5A92QtGP7FjxxLKJ2/YfP3/q8NLxM33C\nmvco7uPpsgAAANxM/rdihRARnacOSpv92czxsalK2WqNp4zsr3i6JAAAALcrEMFOKNrmvUY2\n7+XpMgAAAO6nAvBWLAAAQMFAsAMAAJAEwQ4AAEASBDsAAABJEOwAAAAkQbADAACQBMEOAABA\nEgQ7AAAASRDsAAAAJEGwAwAAkATBDgAAQBIEOwAAAEkQ7AAAACRBsAMAAJAEwQ4AAEASBDsA\nAABJEOwAAAAkQbADAACQBMEOAABAEgQ7AAAASRDsAAAAJEGwAwAAkATBDgAAQBIEOwAAAEkQ\n7AAAACRBsAMAAJCEztMFQCp//PHHmjVrhBBTpkzRarWeLgf5yJIlSw4dOlSpUqUePXp4uhbk\nLwMHDrTZbB07dqxZs6anawEeegS7jIKDgz1dwkPMbDbv379fCBEcHKzTcXbhtrNnz+7fv9/X\n1zckJMTTtSB/2b9/v81ma9OmDecGcO94KxYAAEASBDsAAABJ8GYZ3MnLyyssLEwIoSiKp2tB\n/hIUFBQWFhYUFOTpQpDvhIeHW61WHx8fTxcCyEBRVdXTNQAAAMANeCsWAABAEgQ7AAAASRDs\nAAAAJEGwK4g6tm8/53yiGwds167d8kvJed0qLe7Hdu3aXbbYXIxpST7crl27w8mWe64RWfu0\nb5fha07dxYb3ftfkOLWLM4TT4wG764tG4oWzF6+bs1vr9kuHY0DODRRYBDu4QatWrSp6ufkb\n1vdjTEiD0+Nh8fPE0W+v/ze7tW6/HzkxAB4AcINXXnnlPo1pyfMf8ygQOD0eaqo1VdGaxH24\ndNyPaxHwcCHYycyaenr1vOW/RsVcTTVUqt305Vd7lDDd8f9bzXFHly1YvffQ3zfMtpDiES27\nvdaxfph91eX9//fRJ5tizlzQ+ARXa9T21d5tvTRKlo1CiHbt2j27ZG2fot45zphZ0vm942eu\niD593Te0dMvOg7o8Wcbebh+zh59TtTeiJwwen1z7pZlDnlGsseuXLPp+z6FraZqwstWe7fXy\nUxUD3XjoJJZ69eDiBWsPxJxI0RVu0K5XgNMqa9q5T+Yv3v5HdLxFU7JcjY79BzUs7SdycyLl\n7q5xMbULWZ4hrk8PrSJs6ZwheZabg+aiT+bzZMvArpuvpYpvR3Xa8cS6T8Z069C+2+Kll5bP\n3hHltXr1OHEfLh2OAZ17culAgUKwk5eaPnfo6N9NtV4dOiFQG7dx4Zw3Rms+ndPTucuK0ZP3\nFGo0dPxLQQZr1I4Vyz4Y9eS6T0N0mvTkI69N/qjqC4MnDIpIuxIza/riqcVqTmocn7nx7Vbh\neZoxsyljVrbo17d7MWPU9i9WzxpuLbaqewX/zN3MCTETB7/leNpe+cawH9Kq9B86tkQhJWbP\npjlvDLAu+Pjp4t6ZN4QzNT12wmtTzhapM3DEhADbta+Xzt4Vm1L81sqPhr++y1x24NCxYT6W\nvd8smzlqaNDqxZFewvXdmsu7xuXUruTmDMlQgxBiNWdI3uXmoGXbJ6uH/6qlnxUf1PP7WuNm\n961g33z33MnVGvV6t1fZOybm0gG4D8FOWglnV2y/mP72muFVvHVCiFJT4yZ+sDPeqvprb/9P\niKItX3jtqTa1/Q1CiPDQTks3Tvk3NT3E12BO3J9iU1u3blwhwCgiykz5X+AFL19z4vbMjXmd\nMbMygyd3bhgqhKgYWTPxSLctc3Z1n982Qx/zjZhJoydfrtxj0ZBntIpIjf16w4kb76wZGemt\nE0KULV8lfV/3tQuPPj2ltnuOnbyu7J9/LNU0c9rIMiatEKJCJa/OL75tX5V8ac33ZxOHrRjb\nJNgkhChXOfJItxeX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**m) Mean Ride Distance Of Each Type of Bike By Casuals And Member:**","metadata":{}},{"cell_type":"code","source":"trip_2022_visual =  trip_2022_clean1 %>% \n  group_by(member_casual,rideable_type,month) %>% \n  summarise(mean_ride_distance =  mean(ride_distance)) %>% \n  arrange(member_casual,month)\nggplot(data = trip_2022_visual)+\n  geom_col(mapping = aes(x = rideable_type , y = mean_ride_distance, fill = member_casual),position = \"dodge\")+\n  labs(title = \"Mean Ride Distance Vs Type Of Bike:\",caption = \n         \"Done By Arun Kumar In Jan 2023\")+\n  scale_y_continuous(labels = function(x) format(x, scientific = FALSE))","metadata":{"_kg_hide-output":true,"execution":{"iopub.status.busy":"2023-04-01T07:09:15.650352Z","iopub.execute_input":"2023-04-01T07:09:15.651409Z","iopub.status.idle":"2023-04-01T07:09:16.554369Z"},"trusted":true},"execution_count":108,"outputs":[{"name":"stderr","text":"\u001b[1m\u001b[22m`summarise()` has grouped output by 'member_casual', 'rideable_type'. You can\noverride using the `.groups` argument.\n","output_type":"stream"},{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAABmJLR0QA/wD/AP+gvaeTAAAg\nAElEQVR4nOzdd0BV5R/H8e+5g8sGGSKiOHFvK7fmqhxpWs7UNE0zyzJnWubKlltT0yy1Miu3\npv1yZ5nlytLce4uCArIv5/fHVUREOFzuFTm+X/907xnP+Z7HA3x6zlJUVRUAAADkfYbcLgAA\nAACOQbADAADQCYIdAACAThDsAAAAdIJgBwAAoBMEOwAAAJ0g2AEAAOgEwQ4AAEAn8kCwizj8\noqIoiqL4lR5/34VS4st4uNgW23wj4QFWl7XytwtLy2AwefkGVq3XfNwXv6SkWXj3O1UURWm2\n9ULmbU4ukU9RlLWR8Tms7d7CTBbPkGKl2/YcvPqfa+kW1lhbXhd3damiKAajy+6YpPst0ySf\nm6Ionezqir8GVLy32+/Val94DnbCgazbvp/Zu/1TYUVDvN1cfPwLlKlSr++wj347FZPh0rGX\nNvdoXD3A0yWo/PAMF4g++0EGPw5Gi1/+oo3b9lm+92rahdMdcl+V9lcUZVF4rGP3EAD0xJTb\nBWTD9WNjDsQOKe+eQc2Rx0Yfjr3vn+GHQVCxEl5GJfVrSnLitQvn//5t3d+/rftu08wDi/rm\nYm2FS5S03C4tLiri0umjy7+csGL+9E4frf12cCO7m1VTbm7/42+TJbTGY4UdU+gD4Rbw/CvB\nnnMvxgxZeXrjiyXvXeDmpbkbr8cbzf6TahWwo33XgNCSJe8kcjXl5vETFxXFVKJE0bSLBVuM\ndjTuWHGXfu3cov2KPZdFxGByyx8ckhJz7fC+3w7v+23OhA/aDfti0bgO6f7X8P16becfu16g\nWqOnngjLpGWD0aN4seDUr8kJNy+cP7Np+Zwtq74dufbw+0+FOGV/AOBRoD70rh3qLCKKwSQi\nzZafzHCZDR1KiIjZoIjIpuvxD7bALJRzN4vIt1duppueknzjh7HP2f4VPjh23Tbx6u5V8+fP\nX38pNvM2JxX3FZGfIuJyWJtt63tiEtNOjLnw38wh7c2KIiI9l5xMna6xtlSJMXtExDv0vRwW\n+eAdmFZLRHyLj8xw7u53q4hIgZpfOWRbcRE/iYjRJdghrTlQ3NUNFbxcRMS37NOfr/g1MinF\nNj3ixJ4ZQzt5mwwiUrXHwrvWSUkwK4rZvexNa8r9mo06M05E3PxapJueEHl8XIfSIuLiWS3m\n9urpDrkvS/ll+KMEAEiVZ4Kdb4kRRkXxLzcxgyVSkh7zcrF413rGzzUPBTubfgU9RaTi239l\nq02nBjubXTPbiojZvdylRKt9jefdYBd/fYtRURTFvDM6g57pFuQhIi/+esEh23pIg11KUs/S\nviJSsPGQ8KQMDoALv87wMxtEpN9PZ+6slHxdRNwDXsik4fsFO1VVrUnhhS0mEfn0bHSG6xLs\nACBLeeAaOxsXr5qDQr0iD793NC453ayoMxN2RSeGth5vFCXDdR0t5WZ8+hrs1q5ekIhc/+e6\noxp0lOp9f+ga5JEU+1/fX87laiGO7G2NLD4NBhfxVtWkoStOp5sVH7lu4eWbRnPgxJpBD7iq\nTKQkxltVRzZ4cdvr8w5fd/GsumX1BwGmDH5LBNfrt3lSExH5qvtbVgdt1GAKaOxrEZFryY5q\nEgAeOXkm2IlIjxGVUqyxg7akv2L93w8WiEin96tmuNbp3xZ1f+7JkPz5LO6+YRUff2307GOx\ndwUF1Xpj0cRBjZ8o5+/jYXJxCyxcqtmL/f936EbaZY4uqK8oSs+jkbu+HlGhkK+nm9lk8ShW\nqd67n6/P4U6lJKSIiGcJT9vXv0dXT3eDQkrSlbnv9Xm8VGFPiyWgYPG2r4z493qiHbuZfcah\n71QQkT/G/XW/2iL2/9S/0zMlg/0tZhcf/0L1WvZY/Ocl26zFZQNcPKuJSNSZsYqi+Jf+KnWt\nLDs8G72tJq//YtQzNcv6ebl6+Oav0rDtpCW7HNIzPcdWF5E973+dbvrJxeNEJPCxCUHmOz87\nmfSDfU4tb64oStFWP6WbfnBmHUVRyry8RUTeCPEyu5VIij4woHUtH3cPs9GUL6jw051e33g0\n6t4Gs9sJq15fKiKVR3wV5nbfy3ArvvpdGXdzbPiyCeeiRWRDsyIGk6+IxF5doiiKV8gb2d1r\nNTli040ExWB5IcDdNuXeQy6dIz8OdTUaLF6VVp2MTp2Y5c7a7l/xCn4luxUCQB6Q20OGWbOd\nis1fZXX89c0GRQmoND3dAo19Xc0eFRNS1BZ+bnL3qdg/JnczKoqiKEFFy9WpUTnAwyQiHiGN\nNl6+ddVOSnLUK0/kFxGDybfyY7Ua1H68aD6LiBhdgleF37mY7Mj8eiLSeEJ3RVE8gks2frZ1\n3WpFbR3Ycuq/mdef6anY5I753UXkpW0Xbd/3jqomIs9sOX9rdvypDmXziYiiKEHFK5YJ8RER\nV786LwV5SJpTsVnu5v3YdiHDU7Gqql4/MURE3AKey7C28N2TfE0GEfErXr5ug7rlivqIiMHo\nOe2/CFVV/540ZsjAHiJi8a4zbNiwMRN3ae9wzb2d/GG7MraNVq1Z7/GKYSZFEZH6g5alLmF3\nzyTG/G0xKIpi/uvus7HDiniLSNffLqZOybwfspThqdikmwfcDIrZvWzc3WdBexf0FJHPzker\nqvp6QU+jS3C3Ur4iYnIPrFy1jKfJICJGl/zT/7qSdq3sd0Ky7ZTo/EtZnPT8vmYBEakxeb+q\nqke//GjYkLdExOxeetiwYe+PX5nhKvc7FZsYffqjF8uKSNlui1Inpjvk0p2KPbZ8hJtBMXuU\nW3b8RrZ29s+3KoiIZ4Feme8dAORFeSnYqaraP8TLYPI+FZ+cOjfmwkwRKfbcOlVNH+xunJhp\nMSgunhXnbDhmm2JNujrr9Zoi4lOyt+0v5vnN7UTEK/SFQxG31kpJjv68RykRqTjoznVvtqgh\nInXeXpj6t/bXaa1ExM3/2czrzzjYWRMvHN01/uXHRCR/zbcSbl9rnu4v2YouYSLiU6LN1pO3\n/nSd3bGorLvZVowt2GnZzfvJPNjFXVspIibX4hnWNsgWceZuT92l1SNqiEj+al/Yvmd4jZ2W\nDtfY24fmtBIRn5Ltdt7+m315z9LiriZFMX55ISaHPaOq6sdl/USk4cIjqVMSo/eYFcXoEnQl\nzXWHWfZD5u53jd0nZf1EZNjhO+kwNnyJiLgHtrd9fb2gp4goiqH7lLW248eacHXW67VFxOJT\nN+L2vQ52dEJS7EERURRjXFZ9tG/8YyJStNVG21ft19gZjJ5l0ggrXtjNoIhI0wEzopPv3HiR\nSbA7tWaUh9Fg9ijz45Hrqctr3Nlre9YtXrx4ycrsXdgKAHlCHgt2+6fWFJEXNpxLnbtzcCUR\nGXDgmnpPsPuqbrCIvLbl7ovcU5K6BnmIyOyLMaqqHvv6reeee+6dDefTLnL9xCARCX1mfeoU\nW9RwD2ibmPZuv5R4P7PBaCmYef3lbuewDNV+dULai9PT/iVLjjvhYzIoBte14XeNrJxZ1yNt\nsNOym/eTebBLiPpDRBSD2721qaoa5mYWkaNxSanLJ8bsHTVq1PgJK25/zSDYaelwjb3d2NdV\nUZRF5+/awb/HVxeRJyb9m8OeUVX11OpnRcSn+LupU04sfVpEgut+nXaxLPshc/cLdieXPSMi\nJdrfOQh3v1dFRJ749B/bV1uwK/zMl3evZ329uI+IdNh462fEjk6Ij1gnIkaXAlkWf2xRAxEJ\nrHhriFR7sLsf14DyYxf/k7rw/YLdmf994G0ymN1KfX/oetrGc/gvDgA6kMeCne2vYP7qc1Ln\nPh/gbnIrbns+wt3BzlrM1WQ0B8Tf8+CFHa+XF5EGi49luLn4iNNfvFUhw2BX9tXt6RYu527O\n8n5GW7ALKlaiZFolivm7mUTE4ltu+m+XUhdO+5cs4khfEclX8tN0DaZYb4ZYjLeDnZ27aZN5\nsIu7tlruP2I3pISviBRt1u+n7QcSMnq6hca7Yu/tcC29bavNI6hrumWsieGnTp06Hx6fw55R\nVTU57oS3yaAo5j+jbvXPlAr+ItL9j0tpF8uyHzJ3v2CXdPOAq0Fx8ax2e+hNfdbfTVFMW68n\n2L7agl3/Q+lP+J5a1VREirSwdaY9naB9xO7fCU+ISHDttbavObkrNuryqV8WjA5yMSqKcdjm\nW8ksw2D3yeLRtnPfBWpPuruNnP6LA4AO5KWbJ0TENV/zngU8ru4beiExRUTiwhcvvRobXG+C\nhyH9/bDW+JMn45OtSVddDekfc19zxgERifrv1jXmybGnFkwd+3LntvWeqFI4yNfVr0ivKfsz\n3LpvRV+7K5/05z9H0zp2IjzmxtKxzROu/zeo+fMpGa0Sc/yYiATWrpluumJwb3f76nLtu2mH\nxKjtImL2rJTh3Pc2Lmwc5ntq3Wctapf39A6q0ajVwNGTtx2KyLJZjR2eeW8nXN8kIm4BrdJN\nN5gDihQpUjDAkvOeMboW+7RKgKomDV1+SkSsCWdGHoo0ugR/+ligQ/ohcyb3cqNL5UuM2fPR\nqSgRiTk/Y/W1ON+S79X3cUm7WKsg93Qr+lVpKCJRhw+JvYeHybVkiMWoqtYfrmbxjodja86L\nSPBTwZkvpoVX/iJNu43cOrOhqlo/6/ZpJku+02lUol/9km6mS9vffue3OzepOPVnAQDyirz0\n5gmb/m+VnTds16AdlxfVDz7yxQQRafZh3XsXU9UkETG5Fh30VscM2ylQI1BEru354okGr52I\nSQoIq/5kzSfqt+xUslS5CsW3PFFj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MA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\ntaizynm6+w+2VTi6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**n) Mean Ride Duration Of Each Type of Bike By Casuals And Member:**","metadata":{}},{"cell_type":"code","source":"trip_2022_visual =  trip_2022_clean1 %>% \n  group_by(member_casual,rideable_type,month) %>% \n  summarise(mean_ride_duration =  mean(ride_duration)) %>% \n  arrange(member_casual,month)\nggplot(data = trip_2022_visual)+\n  geom_col(mapping = aes(x = rideable_type, y = mean_ride_duration, fill = member_casual),position = \"dodge\")+\n  labs(title = \"Mean Ride Duration Vs Type Of Bike:\",caption = \n         \"Done By Arun Kumar In Jan 2023\")+\n  scale_y_continuous(labels = function(x) format(x, scientific = FALSE))","metadata":{"_kg_hide-output":true,"execution":{"iopub.status.busy":"2023-04-01T07:09:16.556468Z","iopub.execute_input":"2023-04-01T07:09:16.557469Z","iopub.status.idle":"2023-04-01T07:09:17.079557Z"},"trusted":true},"execution_count":109,"outputs":[{"name":"stderr","text":"\u001b[1m\u001b[22m`summarise()` has grouped output by 'member_casual', 'rideable_type'. You can\noverride using the `.groups` argument.\n","output_type":"stream"},{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAABmJLR0QA/wD/AP+gvaeTAAAg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\nqmr/6koOz3g4svasiEQ+Epl9Ny38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6u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\n1oVcWg0AAADyTGuwW7NmjUvrAAAA9yg12Wr38D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vFYrFY3F3L/cR/4jh3lwC3iRs6yt0l3E8CAgLMZrPVao2Li8u5NzQLCwtz4mhxcXHm\nCSOdOKBD8ptv+/v7O33YLKmpiRevS8FQ77uzuHtEdhH1iSee0DhKNukQAADg7lMM3gVD3V3E\nXZddsNu6dWva61Tbpbee7vlbYqHeL/ZrWqdykDHp8L6f534w83zRDlvXTXF5mQAAAMhJdsGu\ncePGaa+3DKj8m6XM9pO/1A65cV5di1bt+w3s9XBkjQ4ju+9f8IhrywQAAEBOtF4VO2zJ4dLP\nzElLdQ4mnwpT+5Q9umyICwoDAABA7mgNdkcSUwzmrDobxG4948yKAAAAkCdag12ncJ8ji4af\nsN52txe79dQbCw77FOjigsIAAACQO1qD3ci53azR26pVbjnt85W79u7f/8cvqxfPaFWl6sbr\nSV3njHBpiQAAANBC6x35irWdt3maqdOwea/2uPUgNqM5/IVpm2a3Leaa2gAAgNskv/m2u0tA\nruXiVstNXp59rvfQ/63d8M/RczaDV+GoKs1bPVLMTz83awYAAGkCfv/L6WPG1qrq9DGRXu5i\nmYd/iTZd+7ZxUS0AAADIh+yCXY0aNRSD557fdzleZ9Nz7969Tq4LAAAAuZRdsPPz81MMN25c\nFxQUdFfqAQAAQB5lF+x27NiR9nrLli2uLwYAAAB5p/F2J6lWq9WmurYUAAAA5IemYKfa44J8\nvFt8ddTV1QAAACDPNAU7xRg4uELIsYW/uboaAAAA5JnWJ0+8tWNd1dMvDpyx+urtTxUDAAC4\nX1guLlAU5YR+w4zW+9i16TQyNaLYnFfaz3nVKyIy3MvjtkR4/PhxF9QGAACAXNAa7Ly8vEQK\ntW5dyKXV5I2iKL6+vu6uQj8MBoOIeHh4sFUBjfiy5IrRaBQRk8nEdnOihIQEd5fgRHZbqtFD\n6zFFp8+eHTUlXjH5uWRoJ9Ea7NasWZNjn8bly2w7cDh/9eSRI4vAiRRFYasCGvFlyRVFUYRf\nMshKIU9T7zXzvuvx4p+XbAVK1Ry3ZG2Nfe898/rCE/HGmo/1+G7p5BCTIiL25LPvvzJo/vIt\n5yyGsrWaDX53Zs96BbXPLiIxh1Y27z7kp38vhJSq3v/NOaOeqZHNsCIS4mEce/T48cHPLt7u\nf/Hit27aPJo480mvZ06ecOJo2qmqGhcX55ZF61JwcLDRaExOTrZYLO6u5X7i7+4C4Eb8CsqV\ngIAAs9lss9nYbshsypNTpn61sVlx05SurV5oWKVQ02eW/fCrnFzXov1r3da89H37EiIysmHN\n+ZZGMz5dWSHUsPObmc81ikrZf7ZPmUCNs4tImwbD+02bMj7Kd9uiCW/0eMAWdX58nQLZDCsi\ny/u0btb1vW3v13LPdtFMUVWn3Z6utLfH0USbs0bTzmazxcTE3P3l6pUj2FksFoJdrvhPHOfu\nEuA2cUNHubuE+4kj2FmtVoKdc4WFhTlxtLi4uIDf/3LigA6xtar6+9/xP8KFPE2lZu/7sU85\nETm79bGiTTf8GW+t4mMSkTeLB37bYeNfkx+MPzsloOjQbdGJDQPMjrmmVgidWuTzUxtaaZnd\ncnGBb8E+bZceXd25lGP2YeVDFhpHn/jBfqdhRSTEwxjRe8P+eU2dvkGczpl77AAAAPIjov6N\neGoONhs9izlimYiEmgxqqioi0Qf+p6qpjQI9088VlHxApJWW2R1efLRw2utnepWe8c7X0Qd8\nsxlWRKJ6VnTeWroQwQ4AANybsjgL0yPQ22AKSoi/oKRrVJQs88wdT+JMP685xKwYPHMcNiDE\nrLVqt+LEVQAAcN8ILNVXtcd8eCrJ8wbzyNbN+iw+lqtBZm04l/b6i+kHg8r1cMqw9wL22AEA\ngPuGV0jrqS0Kv97gcd8Zr9ctG7xhwZDpP539fnmxXA2y9tnm71unNYvy3frZ+Hf2x0/f184r\nJCj/w94LCHYAAOB+8uLa3y0v9XvnhU4XrJ7lqjf5fPuqZkGeOc92k9Ec+f3kjiPG9h19OqlM\n9QcmrfznxfJB+R/2HsFVsciIq2Lzhqti/8u4KjZXuCrWRXRwVSzyj3PsAAAAdIJgBwAAoBPO\nDHZjps1w4mgAAADIldxdPHHtzLHLCVmcRVeuXDkR6d7/eecUBQAAgNzTGuySrmx8qkHndQev\nZTnViVdgAAAAIG+0BruP2nVffziuzfMjHqtawqTk3B8AAAB3mdZgN+G3y6U6f7Pmw7YurQYA\nAAB5puniCdUed9lmL965qqurAQAAQJ5p2mOnGP0eDvI69uluaVfCxfUAAIB7QmwtdujcfzQe\nilWWrh1fs9kzPccnvP/a0xG+PIgMAAA94/kQ9ymtEa3DiNURkR6fjeq5aPRzIQULehtvu4Di\n9OnTLqgNAAAAuaA12IWFhYWFNS9e3aXFAAAAIO+0BruVK1dm2a6mWuISnFcOAAAA8iq/jxQ7\ns7F9aHgFp5QCAACA/NC6x061x896pe9nm3ZfTUxJ337h1EnFu6ILCgMAAEDuaN1jt3fcwy/N\nWhobVLJsZMqJEyfKV61erWp509VzSkiTD1d/79ISAQAAoIXWPXZvWP3mJQAAIABJREFUzNwX\nWnnCoZ0jVXt8Kb/gBrMWjSzqn3hpW+WSreIL+bq0RAAAAGihdY/djtjkEl3aiIhi9OtewGfz\nnqsi4l2g8aKeJSZ0mO/CAgEAAKCN1mAXbFJscTbH69pFfM+uPut4XfzJItFHprqkNAAAAOSG\n1mDXp7D/kU/eO221i0jRtoXPrPvI0X5h00VXlQYAAIDc0Brs+i/sm3j5m9JhxY4n2Uv36GO5\n9HndXsMmjnu1zeR/QioNd2mJAAAA0ELrxRORjT/YuyJy7Lw1BkV8I/t/+cryp6dN2qWqAaUf\nXf59f5eWCAAAAC0UVVXzNmfs6UPHE7wqlivmoeTc2aVsNltMTIybi9CR4OBgo9FosVgsFou7\na7mf+E8c5+4S4DZxQ0e5u4T7SUBAgNlstlqtcXFx7q5FV8LCwtxdAtxP6x47h4Obln35v59P\nXbrW6P25XXxPRcdUdXuqAwAAgIP2YKd+2KvBwE93Ot74vDWjdfyMJjXWNuozc+O8gSbiHQAA\ngLtpvXji6OInB366s9nAaX8evnGjk+AyH7zTr+62+YPazj3gsvIAAACgldZgN2HwhpAKIzbO\nerlqVCFHi8mn/Ii5P42tErptzHiXlQcAAACttAa75VcSS/fslrm9fY9SSVfXOLUkAAAA5IXW\nYFfM0xh3ODZz+/V9MUbPQk4tCQAAAHmhNdi9UbvAkS967LqSlL7Rcm5zr2XHwmpwg2IAAAD3\n0xrsnlz2UTHlVOOS1fsPGSci+5YuHD+0Z8Uyj55KjZz5dSdXVggAAABNtAY77/BWe//89qkH\nDR9PGSMiW98cPHryF/51Oq7c+9dTkb4uLBAAAADa5OIGxQFlWi7Z3HLB5eP7jp5LMXoXKVOp\nSJCn6yoDAABAruTuyRMi4h1e8oHwkq4oBQAAAPmRi2CXeP7AT7//ezXBlnlS586dnVcSAAAA\n8kJrsDuxYmitrlOu2VKznEqwAwAAcDutwe7F/rNjjUVHz3q3ScViPBkWAADgHqQ12G2OtlYb\nu3pMv2ourQYAAAB5pvV2J/UDzF4FvFxaCgAAAPJDa7CbOq757qG9d19KdGk1AAAAyDOth2Ir\nDVrVd1Z43WJRzVo+XDTMJ8PU+fPnO7swAAAA5I7WYPfjiIazDl4Xub5p/TeZL54g2AEAALid\n1kOxL8za7Ve0w88nrtqSEjNzaYkAAOD/7d1nfBRV38fhM1uzm16AQELvBCRIExQQBAFpojRB\nigjSlC54CwgCoijN0KSLqKAIqJQHG00BRUWQQAIoSq8BQupmszvPi4XNkp4Q3OTwvV7wmTlz\nZs5/diaTX2Z3ByA3cnXHTrUnRCamNlny9iNlA+53QQAAAMifXN2xUxRdWaP2xqGr97saAAAA\n5Fvu3opVjFvm945+v928zZHqfS4IAAAA+ZPbL08MXn0yRBc3qmOt1/xKFPPSp1t69uzZgi4M\nAAAAeZPbYBcUFBTUun34fa0FAAAA9yC3wW7Tpk33tQ4AAADco9w+7gQAAACFHMEOAABAEgQ7\nAAAASRDsAAAAJEGwAwAAkATBDgAAQBIEOwAAAEkQ7AAAACRBsAMAAJAEwQ4AAEASBDsAAABJ\nEOwAAAAkQbADAACQBMEOAABAEgQ7AAAASRDsAAAAJEGwAwAAkATBDgAAQBIEOwAAAEkQ7AAA\nACRBsAMAAJAEwQ4AAEASBDsAAABJEOwAAAAkQbADAACQBMEOAABAEgQ7AAAASRDsAAAAJEGw\nAwAAkATBDgAAQBIEOwAAAEkQ7AAAACRBsAMAAJAEwQ4AAEASBDsAAABJEOwAAAAkQbADAACQ\nhM69w1/eP2Hg20dcWwat/rydv4cQQgj7rnWLNu85eDZOW71mw37DXyhv0rqlSAAAgCLBzcHu\n5qGbpsAOIwaGOVsqeBocE6c2TJz72enew17u75+6ZcnCCaNTP1k8WHFTnQAAAIWfm4PdlWO3\n/Go0btw4LP0CNWXOZ1GVes/p0rK8EKLSTNG173trL/buWdLTDVUCAAAUBW7+jN3hWxb/On62\npFuXrtxUXdotsXvOJNvatijlmDX6N6ntZfh192W3FAkAAFAkuPmO3R/xVvtPEd3mR1tVVedZ\nrHXPEYM6PCSESEn4UwhRw5xWXphZ921krHP2wIEDt27dckx7eXmFhWW454f8UhRFCKHVao1G\no7trAYoGfljyRKPROP7ldStAFovF3SWgUHBnsLOlnI9VtOUCGs38dJqv7dbPW5fPXjbRWPmj\nftX87JYEIUSQPu3bEkF6rfWW1TkbERERHR3tmA4PD1++fPl/XLz0jEYj19w84Zr6IPP29nZ3\nCUWPXq/X6/XurkIeBDs4uPOtWK0h5Isvvpg1/OningajT1Cz517rEGjasTxSCKExmoUQ1612\nZ+drVpvOy833FwEAAAqzwhWV6hY37bhxVQihN9cSYnd0kjXYcPum0YmkVN8wX2fPJUuW2Gw2\nx7SqqjExMf99tbLy9/fXaDSJiYlJSUnurqUo8XJ3AXAjLkF54uPjo9frLRZLfHy8u2sBZOPO\nYHfzxMIx7x6bsWh+CYNGCCFU2+6LiX4PVxFCePg1DzEs3rbv6uNtQ4UQ1viDv8WldGke7FzX\n0zPt67FWqzU2Njb91pFfqqqmmwCQPX5Y8oSLDHD/uPOtWJ8K3QMTL49/c8lvkSdOHj20dt64\nPQneLw2oIoQQin5Ml2onV0zZcfDEhVNHlk+a4xnSqncpnnUCAACQJXfesdPogqYtfHPVB5+8\nP/31ZJ1PhUo1x8+bWsfr9mdpK3WfPtQy79M5k2KSlYq1m00bM5CnEwMAAGRDkeBOOG/FFix/\nf3+tVpuYmJiYmOjuWooS7/emursEuE3cq2+4u4SixMfHx2AwWCyWuLg4d9cilaCgIHeXAPdz\n8wOKAQAAUFAIdgAAAJIg2AEAAEiCYAcAACAJgh0AAIAkCHYAAACSINgBAABIgmAHAAAgCYId\nAACAJAh2AAAAkiDYAQAASIJgBwAAIAmCHQAAgCQIdgAAAJIg2AEAAEiCYAcAACAJgh0AAIAk\nCHYAAACSINgBAABIgmAHAAAgCYIdAACAJAh2AAAAkiDYAQAASIJgBwAAIAmCHQAAgCQIdgAA\nAJIg2AEAAEiCYAcAACAJgh0AAIAkCHYAAACSINgBAABIgmAHAAAgCYIdAACAJAh2AAAAkiDY\nAQAASIJgBwAAIAmCHQAAgCQIdgAAAJIg2AEAAEiCYAcAACAJgh0AAIAkCHYAAACSINgBAABI\ngmAHAAAgCYIdAACAJAh2AAAAkiDYAQAASIJgBwAAIAmCHQAAgCQIdgAAAJIg2AEAAEiCYAcA\nACAJgh0AAIAkCHYAAACSINgBAABIgmAHAAAgCYIdAACAJAh2AAAAkiDYAQAASIJgBwAAIAmC\nHQAAgCQIdgAAAJIg2AEAAEiCYAcAACAJgh0AAIAkCHYAAACSINgBAABIgmAHAAAgCYIdAACA\nJAh2AAAAkiDYAQAASIJgBwAAIAmCHQAAgCQIdgAAAJIg2AEAAEiCYAcAACAJgh0AAIAkCHYA\nAACSINgBAABIgmAHAAAgCYIdAACAJAh2AAAAkiDYAQAASIJgBwAAIAmCHQAAgCQIdgAAAJIg\n2AEAAEiCYAcAACAJgh0AAIAkCHYAAACS0Lm7gELK+72p7i7BbVKFSBVCTH7H3YUAAIC84Y4d\nAACAJAh2AAAAkiDYAQAASEKGz9gpihIYGFiw20wp2M0VQSaTyWQyubuKooRz5kFW4JcguSmK\nIoQwGo0Gg8HdtcgjJibG3SWgUJAh2KmqeuvWrYLdpkfBbq4IslgsFovF3VUUJZwzD7ICvwTJ\nzdPTU6fTWa3WxMREd9cCyEaGYCeEsFqtBbtBfknb7fYCf1XlxjnzIOOHJU/sdrvgIgPcH3zG\nDgAAQBIEOwAAAEkQ7AAAACRBsAMAAJAEwQ4AAEASBDsAAABJEOwAAAAkQbADAACQBMEOAABA\nEgQ7AAAASRDsAAAAJEGwAwAAkATBDgAAQBIEOwAAAEkQ7AAAACRBsAMAAJAEwQ4AAEASBDsA\nAABJEOwAAAAkQbADAACQhM7dBQDAA8r7vanuLsE9VCEsQoip77m7EEBC3LEDAACQBMEOAABA\nEgQ7AAAASRDsAAAAJEGwAwAAkATBDgAAQBIEOwAAAEkQ7AAAACRBsAMAAJAEwQ4AAEASBDsA\nAABJEOwAAAAkQbADAACQBMEOAABAEgQ7AAAASRDsAAAAJEGwAwAAkATBDgAAQBIEOwAAAEno\n3F0ACiOPtt3FgT/cXYXbXK1Z1d0lAACQH9yxAwAAkATBDgAAQBIEOwAAAEkQ7AAAACRBsAMA\nAJAEwQ4AAEASBDsAAABJEOwAAAAkwQOKAQD/NY+23cX+39xdhdvwFHTcP9yxAwAAkATBDgAA\nQBIEOwAAAEkQ7AAAACRBsAMAAJAEwQ4AAEASBDsAAABJEOwAAAAkQbADAACQBMEOAABAEgQ7\nAAAASRDsAAAAJEGwAwAAkATBDgAAQBIEOwAAAEkQ7AAAACRBsAMAAJAEwQ4AAEASBDsAAABJ\nEOwAAAAkQbADAACQBMEOAABAEgQ7AAAASRDsAAAAJEGwAwAAkATBDgAAQBIEOwAAAEkQ7AAA\nACRBsAMAAJAEwQ4AAEASBDsAAABJEOwAAAAkQbADAACQBMEOAABAEgQ7AAAASRDsAAAAJEGw\nAwAAkATBDgAAQBIEOwAAAEkQ7AAAACRBsAMAAJAEwQ4AAEASBDsAAABJ6NxdQDbsu9Yt2rzn\n4Nk4bfWaDfsNf6G8SevukgAAAAqvwnvH7tSGiXM/29/omYGTR/Yx//39hNHLVHeXBAAAUJgV\n1mCnpsz5LKpS7+ldWjYKq9tk5Mxh8ee3rb2Y4O6yAAAACq9CGuwssXvOJNvatijlmDX6N6nt\nZfh192X3VgUAAFCYFdLP2KUk/CmEqGFOKy/MrPs2MtY5GxERceHCBcd02bJl+/fv/x9XCIl5\ne3u7uwQUMZwzyJP7ccLExcUV+DZRFBXSYGe3JAghgvRp35YI0mutt6zO2QMHDkRHRzumw8PD\nhwwZUrAFWAp2cyhSjEZjPtbinHmQcc4gT/J3wmSPYAeHQhrsNEazEOK61R5suP1m8TWrTeef\nVm2DBg1CQ0Md02XLlrVYCvoKOfW9At5g0WEwGFRFSU1Ntdls7q7FPfJ5Oj2o54xGo9Hr9SLf\nr5sUOGfyRK/XqxqN3W63Wq0595bRg/zDgvutkAY7vbmWELujk6zBhtt/1pxISvUN83V2GD58\nuHPaarXGxsam3wTyy9/fX6vVpqSkJCYmursWFAEGg8ER7OLj41WVL68jZz4+PgaDwWq1cpMJ\nKHCF9MsTHn7NQwzabfuuOmat8Qd/i0t5uHmwe6sCAAAozAppsBOKfkyXaidXTNlx8MSFU0eW\nT5rjGdKqdylPd5cFAABQeBXSt2KFEJW6Tx9qmffpnEkxyUrF2s2mjRmouLskAACAwqzwBjuh\naFv1HdOqr7vLAAAAKCIK61uxAAAAyCOCHQAAgCQIdgAAAJIg2AEAAEiCYAcAACAJgh0AAIAk\nCHYAAACSINgBAABIgmAHAAAgCYIdAACAJAh2AAAAkiDYAQAASIJgBwAAIAmCHQAAgCQIdgAA\nAJIg2AEAAEiCYAcAACAJgh0AAIAkCHYAAACSINgBAABIgmAHAAAgCYIdAACAJAh2AAAAkiDY\nAQAASIJgBwAAIAmCHQAAgCR07i4Ahc6ECROuX7/eqlWr5s2bu7sWFAFHjhxZvXq1EGLSpEkm\nk8nd5aAIiIiIOHHiRHh4eLdu3dxdCyAbGYKdXq8PCgpydxXyOHbs2IULF+rXr8+ritw4duzY\nwYMHhRC+vr4+Pj7uLgdFwOnTpw8ePFiiRAkuMkCB461YAAAASRDsAAAAJCHDW7EoWMHBwYqi\n8J4acslkMoWEhAghNBr+UESuBAYGhoSE+Pv7u7sQQEKKqqrurgEAAAAFgL+wAQAAJEGwAwAA\nkATBDgAAQBIEuyKpS6dOERfiC3CDHTt2XHk5MR8rWm5+17FjxytWezbbtCYe6dix45FE671W\niTz65MUeo9aeyuta9368chyX06bwu5eLTPzFc5dupGS6KH+XmmxOGOc2OWEAB4IdhBCibdu2\n1UwF/BXp+7FNSI/TRgI/Thn31oZ/M13EpQa43/hhgBBCDBkypEhsE9LjtJGVaktWtB7371Jj\nzc9bDoCECHaFnS35zJoFK3+OjL6WbKher8VLL/cu7aF17ZBy89iKRWv2//n3rRR7UKlKbXq+\n0qVxiBDiysH/++DjLdFnL2o8A2s37fByvw4mjZJVe8eOHZ9etq5/CXNuRswo4cL+SXNWRZ25\n4RVcvk33oT0eryCEcN1mWrW3oiYPm5RY74U5w9sptpgNy5Z8s+/P6xZNSMXaT/d96YlqPNfq\nniRfO7x00bpD0SeTdMUe69jX7067zXL+44VLd/4WFWvVlKlcp8vAoU3Ke99elOFwB7ts0PV4\naRVhT838kGU1bvY4bQqDrI5pbjpkeq1Y0q/b1uvJ4uuxXXc9uv7j8T07d+q5dPnllfN2RZrW\nrJnoPL4FdZ0Rd86Z3t5pPTlh8CAj2BVuaur8EeN+9aj78ojJ/tqbmxdHvDZO80lEH9cuq8ZN\n3efTdMSkFwIMtshdq1a8N/bx9Z/4pUS9MvWDWt2GTR5ayXI1eu6spdNLPvxW29DUxKOZtudp\nxIymjV/desCLvUoaI3d+vmbuKFvJj3pV9c3YLSUuesqwN5wpYfVrI7+11Bw4YkJpHyV635aI\n1wbZFn34ZClzxhWRG2pqzORXpp0r3mDw6Ml+9utfLp+3JyaplBBCqB+MenVPSsXBIyaEeFr3\nf7ViztgRAWuWhpl1mR7uD9+p49hguuMlhFiT2SFrVTwpi3FzwGlTGGR6TF1fzyw7ZHGtGLD8\n01JD+3xTd+K8F6s6trB3/tTaTfu+3bdi2qhcZ4D7hmBXqMWdW7XzUupba0fVNOuEEOWm35zy\n3u5Y213PlC7RptsrT7Sv52sQQoQGd12+edq/yak1Eg8m2dWnnmpW1c8oKlWY9j//iyYvIURK\nfObtOY7o6/jFnoUKw6Z2bxIshKgW9nD80Z7bIvb0WtghXZ+UW9Fvjpt6pUbvJcPbaRWRHPPl\nxpO3ZqwdE2bWCSEqVqmZeqDXusXHnpxW795ftwfT1YMLjyd7zJk5poKHVghRtbqp+/NvCSES\nL6/95lz8yFUTmgd6CCEq1wg72vP5ZRtPz3u+YuaHO7W2yHC8hMjykIV32JbpuDnitHG7HF/P\nbDpkea3Q6XSKULQ6ne72HbjYEgN7tHzIdVyuM8D9Q7Ar1GJ+idJ71XFc+4QQHoFt33mnbbo+\nnZ5u8+cvezeeOX/58uVTx351NJoCOzWr9N3U/gNq1q1To3r18LqP1C/rl017nkbMqMPDgc7p\nx1sGb17/kxDpL7hLRk2xe2ji//nXEUvjz/2hqur/ejzj2scz9ZwQXHDz6eqe8x7+T1a4836W\nwbtBXS99jBCxUUe0xtAWgR6OdkVjerqkeeG+M+L5ipkebmviEZHheImsD1lW4+aI08btcnw9\ns+mQ+2tFySdKp2vhOgPcPwS7Qs1uVRWNIdsO16YNGXbSK6z1o+Fh9au36ths9PCpQghF6zNm\nzuqux34/HHns2J8/bFi9pNYzU6b0Dc+qPfcj5kjnpVMUfcb2Ek+NndRR26ffWzO2d36jbWmd\np0HReq7//CPXv9AVJYcP2SA7mvR3O3x0mhghVFUIcdcijUYRql1ke7jTHS8hRFaH7HjE9kzH\nzRNOG7fI8fXMpkPurxVm7/S/aLjOAPcPjzsp1ALrl0uJ++2vZJtj1nJzZ9++fV0f1BR/bsXB\nq9YFsyf17tqxaaO6pf1vP3fqRuSXy1duLFOjXodufcZPmTVnQKU/t36YTXvuR8zU1kPXndO7\nNp/3DGmRsU+3Z+sZfBtM6Vrl4PI3jielmku0FvbEbVet+tt0a6ZOnL/rUh5fIaQp3jQk+cZ3\n/9w5drbkv/bfsggh/GqE2Sxnd91IdrSr9uSvzicENiwrsjrcCVaR4XgJIbI6ZFmNmyNOG7fL\n8fXMpkP+rhUOXGeA+4dgV6j5VBjUwE99c9KCX4+c/Dvq98VvLLeaG9cyp/2dqveurKqpX/4Y\neeXa5eiDO96bsFoIcebSTa1fwtdfro7YuOv4qdMnIn/ZsP2CZ+hjQgh9Fu25HzFTv86dtGHX\ngb+O/7lp8YT1Z5O7jmyYVc+qPd582Bw/8+3tBu96A8IDPx4/bfuPv/976viXS17bHBXTolGx\ne3q9HmxB4UOrGBMnvT5v/x9R0Yf2v//6FG+jVghhLtGzVYjnB+Nn/vj70VPRhz+eOSba6vtS\nt7Iiq8PtmXa4ncdLCJHVIctq3Bxx2rhdjq9nNh2yuVZoFJF08fyNG7eyGpfrDHD/8FZsoaZo\nPMbNn75ywZplsybF2s2Vaj85Y2gv1w6moGem9Luy7KOZWxK15SrX7vm/hb6zX14z7pV6az+d\n0j/+w60rdn4U7+lfrFKt1jOGdhZCeIX2yrQ99yNmpNH5T3nx0dVrF3x6LaVU+covTFjQPtQz\n6z0yj5jcpc+YZR8de7T3G3MtSxes/2DmDas+pPxDo9+eUNszhys7sqHoAqfOn7Ao4qN5b70u\nPIKadhs/+Jc5a4QQQjN07rveC5cuf2/yrVRNaOW6o2cNrWnWiywPd1TaNl2OV58a/u0zP2RZ\njZsdTptCIotjmnOHbK4VYZ0afrQyYsjYputWjMp0UK4zwP2jqKqacy8AAAAUerwVCwAAIAne\nikUOEi6unvZ+VKaLPPxbTxnf/D+uB0UCpw3yinMGKBC8FQsAACAJ3ooFAACQBMEOAABAEgQ7\nAAAASRDsgKLnjbK+3iUHZrX01umJiqL0On49qw65Z9ZqKj+3J5sOcyv6mwPb3/tAAIACQbAD\nih6NTqfVyfbDe+WXiR06dNh3K8XdhQBAESbb7wbgQTDl75ibZ5e4u4oClnhp/5YtWy5Zbe4u\nBACKMIIdUJTYU28SfFypthQbj2wCgDsIdkBht6pqoH/FuZabB55/vIaXMSDeps4o7+f6Gbtf\n173Tsl4lbw9DYMnKPUbMu5Jid109/vSekT1alynmZ/QMqFanxZtLttnv3n7U1wuffvzhIF9P\nncFUsuJDfcdFXE+9Kyv9+cXbzWqV9TQYg0KqPTdi9vmULLNljmNlZUZ5v/JP7xBCPBtk9ik9\nLmrRo4qizD8f79LF/oS/yatkf8eMWatp/MHhBSPaB3ma9VpDsdJhfcYtvGZNGy3flQBA0aYC\nKNxWVgnwKTOxe1n/ls8Pn7tgscWuvlXO1yt4gGPp4QXdhRAegXVeePm1Vwc/X8VT71+7khCi\nZ3SMqqrx5zdVNOn15nL9ho2dPnl812YVhBDhfVY5N35my1CNovhVe3zshDdnvDnp+SfDhBCV\ne21xLDVpFN8qzbQafevuAyZNGNXxsdJCiKDwQYm226vPqeBnCmjnmM5xrGyc2v3D6jfChRAT\nP//6+13Hk2/8oFGUsOE/OzvE/jNDCPHY4ihnYX5hJRVF92S3/hMnjO7YpIwQIvixcan3XAkA\nFGkEO6CwW1klQFGU1vN/d7Y4g11q0sniBq25RIfIWymORfHnfqhq1juD3ZSwQL25+r5rSc51\nN40OF0JM//umY3Z1WJDOo8zp5FRnh1Eh3qbADo5pk0YRQozZePz2Mrt15eCaQohnvvrX0eAa\n7HIcK3v/fNlCCLHhWqJjdmSotyngKefSb7pXVDTG3+JSXAsbvj4qXWH9dp2/90oAoOgi2AGF\n3coqAYrG43KKzdniDHYX93YRQjy9/Yxr/wNjazmCnTUhUqsotcYccF1qublbCFFr7O3GhBsx\nMdfjnUvttvihpbw8/J5wzJo0ilfJl1xXtyadNGs1xWp/6Jh1BrvcjJW9dMHu2OJHhRDLL8Y7\nqqpu1gc9NMfZ2aRRPEv0zlhYyUbr770SACi6+IwdUAQYvMKL6zP5ab3y479CiB4PB7k2Vnyh\njmMi+fr/2VT1yOwGigujXzMhROyRWEcfs19A4l8/zp32+oDe3Vs1a1g6MHDRBddPtgn/Wl1c\nZ3UeldoFeCRe/jFdJbkZK08qPDdNoyjz348WQlw7PC4q0frkvO6uHfyq9sxYWNzpnQVeCQAU\nITp3FwAgZ4rGM9N2jU4jhNAodzd6+N+ZMgghao1b+V6LUulWNPqGOyY2jHmi69ydIXVadGj+\nSPtH24yZWvv8S61evuIydIZBdYpQNMYMpeQ8Vp4YfZuPDPX6YMU74u3134/6SmcsE9Ek+K4e\nSvrS9IpQ7ZYCrwQAihCCHVCEFWtSXogD6w7FdG0Z6my89MOvjgmPgKe0ysjUm1Vbt27sXJqa\nFL3h68PBtc1CiJS4n7vP3Vn6qQ9Ob3nJ2WHV3UNcj/xSiFbOWZvl380xyT6NnkhXSY5j5cPA\nibXnDPri4/N/jd53KbTtpsC7n8l88/hnQrR2Kez05phkz4eaeQQ0KvBKAKCo4K1YoAgLeujt\n4gbtt31HHE9IdbSkxB4ePO6gY1rnUWlKjYCTa/r+cCnRucraYZ2ee+65MxohhEhNjLapakB4\nXefSxIv7Zp+PEyLtcSfxFxa9vvXUnTnbp2M7xdvsnd59NF0lOY6VS6rLg1YqdH9LqyivDepw\n1Wp7YXaTdD0TLq169au/7szZ1417Os5mf3x6s4KqBACKIu7YAUWY1qP8d7OeqT18fZ3yjXo/\n36a4uLzlwzWxj/QU21c6OozctmhZlV5tK9bs3KNj3coBkTs+W/PdiVr91vQubhZCmIv1aBk4\ndOd77V/Wj60baj519OflH3xdMdgj5ezBiE/Wv/hcFyGEsZjHOx1rRPbqX7+i9x87P9+0+9/S\nractbFQiYzHZj5UjvbdeCLF0/nJL9QY9ezQUQhh8m44q7T1791UGAAANs0lEQVRra7SHX4uJ\nlfzS9fcMqfv+s2FRz/VvUMn38K7PN+76p3iDEWvalrn3SgCgCHP3tzcA5GBllQDn11QdXJ9j\np6rqz5+81bxOBS+jzjuo9LPDFsTFHxN3HneiqurN49sHPd0s2M/LYA6oFv7Y5GX/Z7WnbSr+\nzPd92zQMCfT0Ca7weLvnNx+9fvW3d8v5mw1exc5ZUk0apeknB5dPHhhePthDZyhWplb/icti\nU9PWd33cSY5jZS8l/lD7h8t5aHUlH3rT2Ri99DEhRO3//Zqus0mjlH96x8nNMxtXD/HQ6QNK\nVe05eu5Fly8O30slAFB0KarKf8cDoJD67fXwBu/8uelqYqdAD9d2s1YT3PGHU5uau6swACic\n+MgJgELKbr02bEGUd+lR6VIdACArfMYOwP3176b2dfrvzaaD0bfZpX+/TNc49JUxiSc3HohL\neXHj6PtZHQBIhWAH4P4q13nLjc55Xmv3Z0v/SfXtPWn98pYhGZd27tLFr16xAigOAOTCZ+wA\nAAAkwWfsAAAAJEGwAwAAkATBDgAAQBIEOwAAAEkQ7AAAACRBsAMAAJAEwQ4AAEASBDsAAABJ\nEOwAAAAkQbADAACQBMEOAHK2pU4J5Q6NxhBUqkq3oW//lZj6Hww9sKS3y9Ba32Lluo2df81q\nz9NG7NZrIR46RVGWX0q4T3U6DCzpXaHzTteWQyuH6jTafgv239dxs/LnzPp6U8V8r17KqHt0\nSXSBVGJPufTukC4VSvgbPQPD6rdZ9u3fd5bYPpk6sEH10t7FK7TuNupwnDXHVZKv/TK402PF\nfMzmgFL1mnf7IvJGgVQIORDsACBXvIIH7Nq1a9euXTu++3r2+OdOfj61bs1nL6XkLWDlT8nH\n5t4e+vtv5r/e/bv3Rzbq81WetnBp7/CLKaKMUTd3+uH7VGSmjqx+pf7AJb3n7/3w5Ub/5biF\n0IrODSd98vcrM1f89P36PnUSB7UNmxt1Qwjxx8wn+kzf2PnViG2rZ/j8vrJ5/ZH2HFaxD6r/\n5IazFZZ8tWP3V6sa6/f1bPjYWYvNjbuGwkUFAORkc3hx33JvubYkXd0datTVnfhb7jdiTbXn\nY+gBwV7ln97h2rKzbxWD50N52khEeDHfcuO3dSxn9H00NYs+dmtcbjaV/V64VntkzQi9RvPC\nwp9zXWZqii3XfTOTcRcOv1NP51EhXWPuD0RJg7bxB1G57JzNZq0JR/Uapc/uC3cabAOCvUKb\nb1FtSWGe+vozDzlaEy6uFUK8cfJGNqskXF4thPjocoKj1RL7oxBi4InruSwS0uOOHQDkh0dQ\n0w+fKXds8RTHbGri8dd6tw4J8DJ4+oY/3vWzw9edPUsZdTOO7W5fvbhBrw0MqThg2iZHuy3l\n/IyhncsX9zN6BdRq1vXDfZdyObRGq+hMlYUQv4ys5V1qiLP96sGhWp3P8aT0bxCnJh4df+Ra\n3WkDGkzvYIndO/2vWNelAXrt/DNnRndtHhzSU6gWRVHeOhvnuvTFkzey2YusRK0dU7fvgt4L\n9q8c2vB2U7Ybn/jtijrB3kadPrhSw6UHrv66akzVYH+jV1CjLqOvp6qO/kmXfxrSuWmwn5fO\naC5fs8k7G05ksgtZy+supJPV6LnZrDXhSNhDtYfVCbzToHmyuCn5ys3Eq2uPJlgH963saDUH\n92jp77Hl03+zWUVrCJ01a1bHQNPtZkUvhPDV8dscd7g7WQJAEZDxjp2qqud3t1EU5WqKTVVt\nL1Xz9y7b8qMvv/9l19bxnarqjKF7Yi2ObiUN2uBixcYv+/rYX9Eb5/QWQrz5b6yqquMbFA+o\n2eXjrTt+/3nX/HHParSey07czDj0gGCvkk0ifnLYs+vT+a8HGs2vfHZKVdX4C4sVRfnmerKj\n58dNSwU3XJZxCyfXPKFojIfiU+ypt8p66Co8+3+uS/11mqatar65ckvU3xdVe7IQYvqZW65L\n+5+4ns1eZKy2/NM7oteNNWqUsu0+v2tZths3edb4YOvek5G/DKkVqDWUKN1mzL7DJ/Z9Pc9T\nq2m98R9H/2EVfIs1GLRl989/HPhp7ohGGp3fWUtq+l24m+sdu1zugivXO3ZZjZ6PzSZf31fG\nQ9diSVRMdC8hxIlEq3PRm2V9Q1t8k80qzpYL3365avGs7g2KlWk63JKfe8GQE8EOAHKWabCL\nie4phPgjPiX21BtCiNXn4h3t9tRbjXyM4RN+d8yWNGirDfzeuVZtL0Ob3efjzs1WFI0z/Kmq\nOqdaQOmWWzMOPSDYK90f5L6VOn8Zefutt6cCTI3mH1VVNdVyLkivfemXyxm3MLqMT0D1dx3T\nnzcP0ZuqxNvSgoC/TlPtpR9uz2SbvTLuRabV+lR8wmTwGziojkYfsOl8fNqybDf+6LJoR+O5\nna0VRfNnwu2sM6GMT63RBxzTs9+d+fWVRMd0UsxmIcTW60npd+Fu6YJdbnbBlWuwy2r0vG72\n8OYF9YuZghsPv5lqv3ywvRAi0eUN6BVVAoo99HU2qzgb9w3o/EidME+dR+/XlxPs4MTNWwDI\nJ8vVG4qihBq0V/bu0pur9QnxdLQrWu8xlXzPbjjq7FlxQE3ndJBOI1RxM/obVbU39TU6v/E6\nOvp63KnMv4Dp+hm7hJhzM9udfbZurZ/jUoQQU/pXipy5TAhxYcfwWH3l2XWLpVs3+fq2uWfj\nqgx86OjRo0ePHi3WL8yadOLVQ9dc+1TqVyM3+5txLzIVf/r3yVuOLF20t395e7+mwxLsWfS7\nW4lHgxwTBn+D1limllnnmA3UadQ7Wxg1epD5xy/enTZx6Iu9mj/S6/7tQqayGT2Xm028uG9I\n2xp1Ok+sOmjRXz/O89UqOrOPEOJCStpXH85ZbAZ/QzarOBc1WrZx/8HIC8c+/2bWoHarTuRh\nTyA1gh0A5FP00r88/J8K0mtUVRVCcV2k1Sqqmvbb2uitS7eu3tek0fklJd/lctSIHAc1B4QM\nfG+zSLkw+ecrQogaY0bEn4/YHWtZN2Z3uc7zvbRKuv7RCyepqvrz6DY1a9asWbNm877fCiG+\nGv2dax+fAIPInD3FJaNk3ItMlW69fnyrUKExvb/7I/2Zj5+YuCs3G79bJr+bbJaz7SqV7jFt\nXaw2qEn75+d/8anr0qx34S457sLqZ1q1eS7txXFWmP3ouXllrh9eVatis52alnv/ObdmWj9P\njSKEMPo2F0Lsv2VxdjsQl1KsSbFsVrn2+7qFSzc7+/tU7jC8lNfRZX8LQAhBsAOA/LHc2N9/\n/T/VBk8RQhR/rKk1MeqTi7cfEafa4uecuBnasWY2q/tWGKjaYhedSTbeZpjQ7okBn5zKzdA2\nyzmbqppMWiGEZ/CLHQOM41dumBR9fdjbDTN2nvx+VGDNd13fqdnYruzlfSMvZv2glut3HpKX\ncPHTBFuen+ei0WsdE+bgDjvfb39gZpv5R9K+SpLvjd+IHrP9jCXywOa3Xh/5XOe2NYJv5rWw\n3EiO/H3fT7eDXWrS8RirzRxquvfRVVtsp2ZDPPutiNoa8Uiop7Pds0TvKib94o1nHLOWG9u3\nXk9q26dCNqtYbq0dPqxP2vNNVOueWItPmE/+9xlyydWfXwAAm+X03r17hRCqzXL26P55U96K\nCW67b/LDQgjf8m++WGXh0Me6ahe8VtU35YvZw/cnF/9+Qq1stuYR0G5uq5D/PdbBM+J/jar4\nf7di7Pt7z2//okymnZNjIvfuvX1HKunG+U9nDtebq82qd/u+zqSBVRq82s8j4JkRpb3TrRh/\nLuLrmKS+m553bWw+9wVblSkj9lz4vGVo+pEU4yM+xs8GvdNr4WB9zLFpA4ZrlPS3APOk5pCN\nr68uOb5592cubA8x3NPGjYH1Vfv62Z/tHvZ4ufORe94ZO0EIEfn35db1yt5Lhek8Pq5h/Euz\nRy1u1Othvy2zBmn1gZOblLz30WNPTfwp1jKnhe+2rVvT9sinfssmxT957ZFGo9quLreucYmk\nuQN6+1V5cXplv2xWad54fh1T5SbPjln8ao/iuoRty1/7Pt68bnqdAnwRULT9x5/pA4CiaHN4\ncedlU1F0AcEVnx007Xh82pcZU+KOvtqzZbCvSefhVatpl3WHYpyLShq0zxy75px9ws+jza7z\nqqraUi7PGNypTICXwTOw1qNd1h64munQ6b48oTGYqjfuti067fuzjgebNXj3z4zr7uxbRe8Z\ndiv989Vsrfw9gh6a55jx12l6RqdVe3n/kuZh5UxajRDisRcXdQ4yOb/fkOleZKw23VP3LDf3\nVvDQVe61Jpcbv3Kog+uT5+ZU8Ks58hfH9PZ3h1YJDfLwCW7Y8vntx2++WC9UZ/COTLCm2wVX\n6b48kYtdSP1wQt/q5Ut6mPyq12218PuzzgVZjZ6bzZ74qEnG37/FwzerqqraU5aP71kuyFtv\n8m3YfvBvNy05rnLz+NbnWtX19/LwDAxp0LzrR/svZbrveDApqpqXz44CAAqZuLPv+5Ydu+tG\nQlPfXH3OLDdUe9LlGyLY+bC0AnVfNw484Ah2AFBkqSkWW+rCNlVmXBp6LfJ1d1cDwP34jB0A\nFFWJV9Z4Bg/QGksuPjzU3bUAKBS4YwcARZaaEn3wkEel8HIF9yYsgCKNYAcAACAJnmMHAAAg\nCYIdAACAJAh2AAAAkiDYAQAASIJgBwAAIAmCHQAAgCQIdgAAAJL4f651zlXzOedFAAAAAElF\nTkSuQmCC"},"metadata":{"image/png":{"width":420,"height":420}}}]},{"cell_type":"markdown","source":"##### **o) Total Number Of Rides By Each Type Of Bike In Each Month By                Casuals And Members:**","metadata":{}},{"cell_type":"code","source":"trip_2022_visual =  trip_2022_clean1 %>% \n  group_by(member_casual,rideable_type,month) %>% \n  summarise(no_of_rides  = n(),.groups = \"drop\") %>% \n  arrange(member_casual,month)\nggplot(data = trip_2022_visual)+\n  geom_col(mapping = aes(x = month, y = no_of_rides , fill = rideable_type ),position = \"dodge\")+\n  facet_wrap(~member_casual)+\n  labs(title = \"Total Number Of Rides In Each Month Vs Type Of Bike :\",caption = \n         \"Done By Arun Kumar In Jan 2023\")+\n  scale_y_continuous(labels = function(x) format(x, scientific = FALSE))","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:09:17.081623Z","iopub.execute_input":"2023-04-01T07:09:17.082746Z","iopub.status.idle":"2023-04-01T07:09:17.709134Z"},"trusted":true},"execution_count":110,"outputs":[{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAABmJLR0QA/wD/AP+gvaeTAAAg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\nZquL2uRCNT6Twwp12f0zj7vOFpj3qd+dtSfGoFN0lvXHz3l3vv/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WFBGDuWqSq/C7dod2nPj4D3aqqj7TMF5EGty1Kd90X7Dblu78cvGo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DT8ZsNptMJuU4CksLxcfHhxPEm4zRaIzIvhcbG6umW3Z2tr9FZrM5Ojo6YARv2iaT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\ncWGehXzuYyoHqxwk4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**p) Total Number Of Rides By Each Type Of Bike In Each Hour Of The             Day By Casuals And Members:**","metadata":{}},{"cell_type":"code","source":"trip_2022_visual = trip_2022_clean1 %>% \n  group_by(member_casual,rideable_type,hour) %>% \n  summarise( no_of_rides= n(),.groups = \"drop\") %>% \n  arrange(member_casual,rideable_type,hour)\nggplot(data = trip_2022_visual)+\n  geom_point(mapping = aes(x = hour , y = no_of_rides , color =  rideable_type),position = \"dodge\")+\n  geom_line(mapping = aes(x = hour , y = no_of_rides , color =  rideable_type),position = \"dodge\" )+\n  facet_wrap(~ member_casual)+\n  labs(title = \"Total Number Of Rides In Each Hour Of The Day Vs Type Of Bike \",caption = \n         \"Done By Arun Kumar In Jan 2023\")+\n  scale_y_continuous(labels = function(x)format(x, scientific = FALSE))","metadata":{"execution":{"iopub.status.busy":"2023-04-01T07:09:17.711174Z","iopub.execute_input":"2023-04-01T07:09:17.712294Z","iopub.status.idle":"2023-04-01T07:09:18.758073Z"},"trusted":true},"execution_count":111,"outputs":[{"name":"stderr","text":"Warning message:\n“\u001b[1m\u001b[22mWidth not defined\n\u001b[36mℹ\u001b[39m Set with `position_dodge(width = ...)`”\nWarning message:\n“\u001b[1m\u001b[22mWidth not defined\n\u001b[36mℹ\u001b[39m Set with `position_dodge(width = ...)`”\n","output_type":"stream"},{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAABmJLR0QA/wD/AP+gvaeTAAAg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\nzHs4m4MzHX0/pwt2kZpPAAjFrf+azTH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v0kUNv2VSLKKwY7IiKyLBEKAJCqKh3O\nhsv1oezAFjuyHAY7IiKyLEVvsfP6IETD5fojd+w8QdbDYEdERJYlQkEAmtvTaHmyL4Wft2LJ\nahjsiIjIugKNJ4rVJZewxY4sh8GOiIgsSwkGkXqiroHkdLHhMOKxAlSLKG8Y7IiIyLJEUG+x\n8zVanppVTLL/BFkLgx0REVlWssXOs9UzdpxVjCyKwY6IiCxK0xAOoenOE8lZxWRtTVvXiiif\nGOyIiMiaRCgIKQHA1/hWbP2sYrwVS9bCYEdERNakNDmfmK5uVjGOeEIWw2BHREQWVff8nObe\nKtjV9Z+Qft6KJUthsCMiImvSe05AiK07TyDVjMdbsWQtDHZERGRNIhgAIJ11j9NtKTm4HTtP\nkLUw2BERkTWJNGOd6PSOsZLP2JG1MNgREZE11Y1O3MQDdki12PFWLFkLgx0REVmT3mKnpQt2\n+vJwSMTjbVkrorxisCMiImvSn7GDt/EgdjotNYEsJ58gC2GwIyIia9LHsdt62gldagLZ1HB3\nRBbAYEdERBYVCCB954lUix2niyUrYbAjIiILEtGoiMeAtLdi4XLrw6AIttiRhTDYERGRBaXi\nWrrOExACXi8AJcBgR9bBYEdERFZUd4M13XAnqBvKji12ZCUMdkREZEFKKKj/kO4ZOwDw+QCA\nYxSThTDYERGRBSXb4VRVOl3p1tE7xrJXLFkJgx0REVmQkuoSK0S6daTPB0DwGTuyEAY7IiKy\nouQgdmkfsAOSHWb1mceIrIHBjoiILEi/FZuh5wQA+IoAiEiEs4qRZTDYERGRBSnBIFDXPSIN\nWTfEHTvGkmUw2BERkQWJUKb5xJJ8Rckf/LwbSxbBYEdERBYk/H5kHusE9ZNSKHzMjqyCwY6I\niCxH00QkjLoBTdKRLldyVjF2jCWrYLAjIiKrEeEQNA3Ndp4QQviKwBY7shAGOyIisprUmMPS\nmzHY1fWfYIsdWQaDHRERWU5dUGum8wQgioqB+ollicyOwY6IiKymfpaw5lrs9PFQFAY7sgoG\nOyIisprk6MROl1Rtzayqj1HMcezIKhjsiIjIcoJ1E8U2RzDYkbUw2BERkdUo2cwnpqufVSyW\n71oRtQEGOyIishoRDCKLLrEAUFTU8C1EZsdgR0REVlPXYpdpdGKd8BUnf/LX5rVKRG2DwY6I\niCwn4AegZfGMnd4rFg070hKZGYMdERFZTbJXbHOD2AGAyy05qxhZCIMdERFZiojHRCwGAN7m\nb8VCCH01DmVH1sBgR0RElpJqe8vqViygebzgiCdkFQx2RERkLXXBLpvOE0iNisIWO7IEBjsi\nIrIUJZRbi53krViyEAY7IiKylORNVUWBy53N+prXC3aeIKtgsCMiIkvRI5p0eyBEVm/w+gCI\nIFvsyAoY7IiIyFL0Fjstm/nEANQ9Yyei0WRfWiIzY7AjIiJLSU4Ols1YJwAArW5NdowlC2Cw\nIyIiS9E7T2TZcwINp5TlrGJkfgx2RERkLQE/UoOYZCG1JmcVIwtgsCMiIktRgkEAMvsWO5db\nqjbwVixZAoMdERFZiJQipAe7bJ+xAwCvFxzKjiyBwY6IiKxDhEPQNOTSYofUrGIcyo7Mj8GO\niIisQ9S1umX/jB3qJp/grViyAAY7IiKyjuRYJ7mMY4e6jrGCt2LJ/BjsiIjIOup7tnpzCHZ1\nt2IZ7Mj0GOyIiMg69BY76XBImz2Ht3mLwGfsyBJsbby9B0452nX5gsM7JidmXvfJhSde813D\nFf754JP7lLkA7d3H57/0/uKVteqQ4eOPOePYPm61bpV0L7XgLUREZC3B3Aax0yVvxcaiIhaT\n9lwSIVE705bBTv764f3Pra46RMrUoqpvqtzl0848cVhqSV+vA8DyZy66+Yk/Zpw267iy+MsL\n77zwnPgjd52sT+ac7qUWvIWIiCwmeSs26/nEdA1nFZMlpYbXiqjNtFGwW/vBLRf956P11ZFG\ny9f/UFM6dMKECcO2WCqj8574sf+MeQdP7QOg/3U45OgbHlsz48iu3rQvdbHn/Jauuf1/joiI\n2j/9VqzmzmGsEzRs4fPXgsGOzKyNnrHrMPLguZdcc+N15zVa/m1NpGx0aSJUs3Z9VaodL1L9\n/p/hxF67ddN/dZZN2tbn+OK9dRleasFb8vp5iYioIPQOEDKXnhNoOKsYH7Mjk2ujFjtHSY/+\nJUhEXY2Wf+2PaR/edujtP8WktHk7/uPIM/85bWQ0sATAUE993YZ5bK9/Xw0g3UvRSTm/JfXr\n/PnzP/nkE/1nn893++23Z/4sQiTv4hYXF8sGt5VbSQghhCgtNfJ/ioqi6CUbXqzhZaqqCsBm\nsxlerJTSbugTM/pedblcDofD2GI9Ho/b7TawTJ3X6/XkMlJrNoqLi1vwLr8/bZdDh8PhcjW+\nPjSiHyQOh8Pwg0RVVafTaWCZ+lXC7XYbXqzP5zP2sqP/UFRUZHixxn5Nqao2W2wiHAbg6FDu\nyqICDa9mCZsd8ZgXmmhdzfVLhKqq+biet6DMeDxuYDWo/WvrzhMNJaKrqoXau8OO1z16RUmi\n5tNX7rnp7oucAx46wBEAUGGv799QYVdjNTEAWqTpl9Itz/CW1K+rV6/+8ccf9Z/Lyspstmz3\nif5nxljZb73gxeajTCGE4cUKIfQLorEURTG82HwcUXkqtmVfU+pvc5MvZVkmDxJjC8xfsYW6\nmiUCtQDUomI16wroZWo+n6zarAQD2b8xg3wcqKiLdzkxMLKTKRQy2KmO7k8//XTdbxWTj5i7\n7PXD3r7n+4PO9gCojGldHMkjeGMsYSuzAVCcTb+UbnmGt6Sqsf3226faM9xudzgczlxtRVH0\npppIJGLgCaMX2+zWc6Kqqt5YZWyxNptNUZRoNGpgmXa7XVVVTdMML1ZKaex/WJ1OpxAiHo8b\nXmw8Hk8kEgaWqbeBxWIxw4tt2cGvaVq6lxKJRLOVdDgciqIkEolYLJZ5zZw4HA5N04z9NvO3\n56PRaIbdmCshhN6mmI9iC3M1i8dEJAIg7nTFsqiA3l6bvOx4faJqc7yqKps3ZpC/qxmAFhz8\niUTC2LsW1M4VMthtbbtO7rc3b7B7RgDv/RSKdXEk72IsC8VLhpUASPdSC96S2uj06dOnT5+u\n/6xpWmVlZeZK2mw2PdgFg0EDr9o2m81ut2e4V9UCLpdLTzbGFut2ux0Oh7FlFhUVqaqaSCQM\nL1bTtIChD83oV+1oNBqsG+DeqGLD4XAk0riDUYsJIfR4EQqFDPwDoxcbCAQMzAEA4vF4szmg\npKREUZR4PG7sQVJSUhKNRkOhkIFl6uk/H8WGQiEDc23qHnQwGDQw2urFGvs1OZ1OPZ1kLlZU\nV+m9W4OKksiiAi6Xy+Vy6WW6XW4bEK/eHGpdzX0+nx7sjN0DPp8PzX38dLw5PnFIplbIAYqr\nlt15/AmnrYvW/XmQiffWBEuHDnSV7trdoS76eIO+OOZf/GVtdMyuXQCke6kFb2nDD0pERG1B\nCSX/u5XrOHZIDWVnaBojanuFDHbFfQ8rD64777KFX36/7Jel3zx2y5z3A0UnnTAQwj774MG/\n3Hvp24uXrV7+3T0Xz/N2331GNy+AtC+14C1ERGQtom4+MZnjOHaoG8ouVQKRSRXyVqxiq7ji\nzsvuX/DIrVdeELYV9+0//LxbLh/tswPof9iVp0ZueXTexZvCot+2k6+YfWLqoet0L7XgLURE\nZCXJWKYo0tlMJ+utSU4XS5bQpsFOdfR48cUXGy5xlg07+fyrT956VaHufvTs3Y9uqpR0L7Xg\nLUREZCH6ZK/S5UYL+iPrLXaxGGcVI1Mr5K1YIiIiA+ktdlruD9ih4axibLQjM2OwIyIii1D0\nvuot6gSamqyCj9mRqTHYERGRRYhQy1vsUh1phb/WyDoRtS0GOyIisgp9otiWBTunS9psYIsd\nmRyDHRERWUTyVmyLgh1Q13/C0CHNidoYgx0REVmClCIUREtvxabeqLDFjsyMwY6IiCwhHEIi\nAUDWTf+dExEOiWgUgPr7r/bvvoGh8/wStRkGOyIisgKlbvrmFrTY2X7/1Xf37cqmDQCUmmrX\n/170PrBAqWpm6nCidojBjoiIrKC+00OO84mJgN/1/FOIRJK/SwlA2Vzpev5J/WciE2GwIyIi\nK0g9G5drr1j70iUiHmuc4aRUN6xXV/9lVPWI2gaDHRERWUIwAEDa7LlOCKZs2gDR9BTiysYN\nBlSMqA0x2BERkRXot2JlC6adsKUNglJVW1MlorbHYEdERFag+P1AS+YTS3Tv2fSzdEJoPXu1\nul5EbYrBjoiIzE1d8ZvngYX2JYsBKGvXOj77UOQyWEls0FCtouPWd2NjI0ZpJaVGVpQo/xjs\niIjIxOzffeN56hF14/rk71rC+f7brucez6FDq6oGD50RGzikfolQouN3Ck/d2+C6EuUfgx0R\nEZmViMWcb78GIRrFONvvv9l/+Sn7cqTXF97v4MBJZ0i7A0Bk4s6RnXcDH7AjE2KwIyIis1L+\n+lNEI001zgl1+S+5lqaVlEqfDwDicQMqR1QIDHZERGRWSiTc9AsCIhRqSYluDxpMYkFkOgx2\nRERkVlpRcdMvSCmLS1pSoNsDQIQZ7MisGOyIiMisEl27y+ISKE0MLxwbMrwFBUo92LHFjkyL\nwY6IiExLUUL7HCBVW/0SIQBEx++U6NajBeVJjweACDHYkVkx2BERkYklemwTOGFWomdvABCI\n9+kfPGxmZOfdWlaadLnBFjsyMwY7IiIyN+krivfpB0C6vaGDjkhs07vlRektdpFwDsPgEbUn\nDHZERGR6+kSxmif3iWK3pD9jB01DuEWdaokKjcGOiIhMLzlASe4TxTaSDHaA0rLRUogKjcGO\niIhMr67FztfKclLBjv0nyKQY7IiIyPwCftQ9Idcamtut/8BgRybFYEdERKanBAMAZKufsYPL\nDUUBgx2ZFoMdERGZnJR6DpOtfsYOQkinCxzxhEyLwY6IiMxNhMPQNBjSYleXDgV7xZI5MdgR\nEZG5iUCt/oMxwY5jFJOZMdgREZG5pUJY68exQ1065DN2ZFIMdkREZG56zwkA8LZ2uBMA0u0G\noDDYkTkx2BERkbnpg9hJh0PabK0vTdOHsuOtWDInBjsiIjK55CB2BjTXAYDbA0CEGezIlBjs\niIjI3OoGsWvt6MQ6Te88EYkgkTCkQKK2xGBHRETmpneekD6DWuz0HhhScsQTMiMGOyIiMjcl\n6Acg3QZ0iUVd5wlwxBMyJwY7IiIyuUAAgNb6aScANBgMj4/ZkRkx2BERkbkJoyaKBVA3QDEA\nJcRbsWQ+DHZERGRiIhYVsRhQ92xcq0mnU6oqAKSGxyMyDwY7IiIysfppJ4wYnTjJ7QFb7Mic\nGOyIiMjM/KmJYo0Z7gSApvef4OQTZEIMdkREZGKpub+MesYOANxesMWOzInBjoiITEzvOQFV\nlU6XUWVqeuNfiM/Ykfkw2BERkYkpgbppJ4QwrFB9VjG22JEJMdgREZGZBf0ANKMmigUAaHqw\nY69YMiEGOyIiMrHkfGLG9ZwAUi127DxB5sNgR0REJqbfioWBY53UzSomYjERjxtYLFEbYLAj\nIiITE6EAAM3ALrGp4U7AMYrJfBjsiIjIxOo6TxgZ7FKTWChh9p8gk2GwIyIi09I0hEMwvMXO\nxRY7MisGOyIiMisRCkJKAPAa2mJXVxrHKCbTYbAjIiKzSvacAKShw51I1SbtdnAoOzIhBjsi\nIjKtgF//VzN2uBPUPWbHEU/IbBjsiIjIrJJjCAsh3QYHO/0xO4XBjsyGwY6IiMxK0YOdyw1V\nNbbkZFJksCOzYbAjIiKz0qedMP4+bN1UFmyxI9NhsCMiIrNSgn4Y3XNCl2yxCzLYkckw2BER\nkWkF9GknjG+x06eLVcIMdmQyDHZERGRWyc4Thk4Uq0vOKsYWOzIbBjsiIjIrvfOEzEeLnccL\nQCQSIho1vnCivGGwIyIic5JSn/JLy8MzdskWO31yCyLzYLAjIiJTEpGwSCSQnxY76UqWKThd\nLJkKgx0REZmSqHsATvMYOlEsgAZhkbOKkbkw2BERkSnVt6XlofOEdLkhBACwxY5MhcGOiIhM\nSamLXNJrfIsdVFU6nQCUMFvsyEwY7IiIyJwCfgDSZpN2Rz6KTz5mx84TZCoMdkREZEoiOdZJ\nHprrdJxVjEyIwY6IiExJ0TtP+Ix/wE6nuT1g5wkyGwY7IiIyJRH0A9Dc+Wqxk243ONwJmQ2D\nHRERmZIIBJCnnhMAAKm32LHzBJkKgx0REZmSHuzyMYidrq7Fjs/YkZkw2BERkSmJUABITuqa\nD9Lthd5iJ2WeNkFkOAY7IiIyH5GIi0gEgMzD6MS65OQTmibC4TxtgshwDHZERGRCgWSfBi0P\nE8Xq9GfsAIgw78aSaTDYERGR+dRPO5HHW7GcLpbMh8GOiIjMR9TPJ5a/cezcjbZF1P4x2BER\nkfnoXWKhKNLlztc2XG4oCgDBySfIPGyFrkC7Y7M1s09UVU2tKYQwdrvNbj0nDatqYLGKoggh\njC1T35P5KFZRFGPL1BlerOFVTR2cqqoaXqzNZtM0Ldf3JhKJDMU2W0keJABUVZXG9dBUFCVV\nrFFlpkrL99XMFgkBkG6PzW5vcbHNX81cbgQDajgss/44+TtQ0aK9auABQ6bAYNdYSUlJlmv6\njJ7HRgiR/dYLW6zhZaauWfko1uEwcoJwvUyXy+V0Oo0t1pOfZ8DzUWxRUVEL3lVTU5PuJYfD\n0Ww9U9+mvRV/yJssVlVVl8tlbJkAXC6X4cV68zMYr+FXM+RyLW1ZsYl4PAEoxcWt3FDmq1nM\n55PBgEtqatZb0b99VVXbydUsFosZWA1q/xjsGtu0aVPmFWw2W2lpKYCqqqoMLRC50jNNs1vP\nicvl8vl8Ukpji3W73Q6Ho7q62sAyi4qKnE5nLBYzvFhN0wIBI5+PKSsrU1U1GAwGDR22tKys\nLBgMRiIRowoUQpSXlwOora2NRqPGFrt58+YWtNhlEIlEmv3qS0pK7HZ7JBKpra01cNMlJSXR\naDRk6NPx5eXlQohgMGh4sTU1NQb+nVZVtaysDEB1dXU8Hje2WGMvO06nU//vRKpY18aNdiDu\ndNe0YkN6+K6qqkq3gsfhVIHwpk3hrLfi8/lcLlc8Hs9QbAvo4dvv97fgvRUVFQbWhNo5PmNH\nRETmo4T0aSfyNdaJTh/Kjs/YkYkw2BERkQn5/cjnWCc66fIAUDhdLJkHgx0REZmPPo5d3oOd\n3iLI4U7IPBjsiIjIbKQU4RAAmZ/eJPXbcbnBAYrJVBjsiIjIZEQoCE0DID35Gp1Yp7k9AEQk\nDOO6yhHlFYMdERGZjAik5hPLb+cJ6OVLKSLh/G6IyCAMdkREZDKpOb60PD9jp7nqpovlY3Zk\nEgx2RERkMkoqZuX5GbtU+XzMjsyCwY6IiExGbz+TTpdU8zvMfmoi4YykEgAAIABJREFUWoVD\n2ZFJMNgREZHJJINdvh+wA6TTKfVpahnsyCQY7IiIyGT0zhP5HsQuye0BoPBWLJkEgx0REZlM\nssXOm9+xTnSa2w1wjGIyDQY7IiIyGdEm004kub1gix2ZB4MdERGZjN4rNt9jneiSLXYhttiR\nOTDYERGR2QT8aJPOEwDg8YLDnZB5MNgREZGZiGhUxOMA0IbP2HGAYjILBjsiIjITEfTrP7TN\nrVi9Vyxb7MgsGOyIiMhMRDA5pJzM97QT+lb0FrtYVCTibbA5olZisCMiIjMR/mSLnXS3SeeJ\nuuliEeQYxWQCDHZERGQmIhQAIFVVOp1tsb26Lhoc8YRMgcGOiIjMRAkEAMDrgxBtsDnNnWqx\nY/8JMgEGOyIiMhO9g2p93sq3ui4aSpgtdmQCDHZERGQqyfnE2qRLLCBtNmmzp7ZL1M4x2BER\nkZkobTmfmM7LMYrJNBjsiIjITERAb7Fri9GJdZrLDd6KJZNgsCMiIjNJ9optwxY7qT/Px1ux\nZAYMdkREZB6JhAiHAWhtM1EsgLpJaZUQx7EjE2CwIyIi0xDBIKREYVrsGOzIBBjsiIjINJRQ\n3f3QNnzGDm79GTsGOzIBBjsiIjINvecEAK0NW+w0ttiReTDYERGReQT8ACCEbLMBigG4PQBE\nIiGi0bbbKFGLMNgREZFpJAexc7mgtN3fr9QsF4L9J6jdY7AjIiLTEMlpJ4radKseBjsyDQY7\nIiIyDX3MEdmGY52ALXZkKgx2RERkHn4/2rbnBADpckMIgP0nyAQY7IiIyDRE208UC0BVpcMJ\njlFMZsBgR0REpqF3nmjTQewAANLtBgAGO2r3GOyIiMgkpNSfcmvjW7FAsv+EEgq19XaJcsRg\nR0REJhEKIZFAm3eeAKC5vQBb7MgEGOyIiMgcpL9W/6HtW+z0W7F8xo7aPwY7IiIyh1SwK8Qz\ndh4Agrdiqd1jsCMiIpOoC3Zt3Su2rsVO75NL1J4x2BERkTnoLXbSbpd2e1tv2u0FIMIhSNnG\nmybKCYMdERGZg/T7UYjmOqSGO9E0EQ63/daJssdgR0REJuGvAQrwgB0apEkRZv8JatcY7IiI\nyBxkIeYTS25ab7Fj/wlq9xjsiIjIJPRn7AoT7Opa7Nh/gto3BjsiIjIHvfOE5i1EsHO5oChg\nix21ewx2RERkDrK2FgA8BXjGDkJIpxOACLHFjto1BjsiIjKDWAzRCAoxn5guOeJJiL1iqV1j\nsCMiIhOon0+sELdikRqjmC121L4x2BERkQkk78M26MfQ1hXw6C12fMaO2jUGOyIiMoNA+2ix\nY69Yat8Y7IiIyASSLXaKApe7MBVgix2ZAYMdERGZgT6IndsDIQqyfelygzNPULvHYEdERCYg\nA34U7j4sAM3tASDCYWhaoepA1CwGOyIiMoFkr9hCTBSbpA+zIqUI824stV8MdkREZAa1BZtP\nTKe5kuPnsf8EtWcMdkREZAIyUAtAK1ywQ93AyOw/Qe0Zgx0REZlBssWuMNNOoG64EwBKiP0n\nqP2yFboCREREmSibNtq+/UoGAwCUdWtEPCZt9ravhnS6oKpIJMBgR+0Ygx0REbVfjsWfO995\nPdUR1f7TD7ZVfwUPnaF1KG/7ykiXWwT8Cm/FUjvGW7FERNROqevXOd9+DZpsuFAEal0vPQMp\n070rf/QRT9hiR+0Zgx0REbVTtu+/AQBsmeE0qa5fq25cX4AKeTzgM3Zp/LtXSVHXEzOsUPPH\nRUKI//u5svXb8qjKgCPeT/fqzf3KPOX7tn4rJsVgR0RE7ZRStTntS5Wb2rImumSLXZDBrgmK\nzabarBYq1n920bRp0z6uiRa6Ijmw2ndARESWIR2OdDdcpdPZplXR6ZNPsMWuKZf+tqlq5cJC\n18JgwbWfvPzyy2tjiUJXJAcMdkRE1E4ltukjmniWTkjVlujao+3rozHYNUWLV5kp+OSfTEQT\nBXgENInBjojItKw+aWls2MhEx05bLBICkNFJuxamxc7DYJd0/6Dysn43R6o+P2qXoT5nB39C\nXt2ntNEzdl88fu3Usf2LXI7yrgMOP/OW9dEtDlf/H++fdfg/tulY6vR2GDx6t8sWLmr48o8v\n3rn/LmMqSrw2h7trv5FHz7mtMt44Ky15+prJI3p5Hc6K7oOPOPOmVdG08TLzttK5uk9pn/3f\nBnBQhae45xwAP86fKIS4fZW/wVralDK3r+txADyqMmHBt3ecuW+F12NXHR17Dps5586NsRw+\ntSE43AkRkcmI6irnB+/YVvwmwiGttCy27XbRMeOgqoWuVx6oavCwma53XrcvXaIvkC53ZJep\nseGjClIdfYxiEY2KRFyqf/c/oFq88uhRe26aNOPq285wK6LRq0vuPHzcrCdc5aOPOHF2Rfyv\nF+6dM+69XqlXA6ufHzXk0D9F9/879sT+Feq37z516cn7PP/x/V8/eAyAla+cNnz/u4oHTT7h\n9PM6OOI/fPTsQzec+cnqfsse3idVwobF/x7z5MdTDzl69vSib997+vHbzn3z/V/+/GqBe6sG\nq8zbyuCIB5/t8dbsoy//5qInX9yl0yAAfY+8Qpk1deH1S0+/dby+Ts2K696uCu901xz91x/v\n2OuMHzbsfsjR4waULnn/6f/eMOuNT/7864Pr1NbVJCc5HZfamuW/de07AEB4/RfX3PDAZkfP\naceftnvfIgMrREREGahrV7sfe1DEY/qvyuZK57tv2H75KXjYTGtmO7cnNnxbPdjZjzulsqwc\nSmHuNYl4XP1jhf6z85XnY+MmJLp0K0hN2onalVdV3fblG7PGbP1SIvzr7uc87ek87fNfnhlW\nZAdwyUXHbjdwz1RfmBv3OOFP0f+9PxfvWO4CAFz7/OzRB8w79qpLDriwb8k75z2pOHt++82b\n2zj1Q/ryjj2KF/xvIVAf7KqXvTf72Z9vPGAgAMjr7z919HELFh718vnP7NcLW8q8rQwfsM/O\nu4nNHQCM3m3qlHI3AGfpbmd09y18+HLc+oq+zqdz7xWK85aj+um/Vi1dc8ZTP9568GAAkNfd\nf+ro4xZcf8J7Z94/uVtrapKTbE+PaPUnB4/s2GvE/gBkfPP0oZMvv3H+7Vefv/ewkY/86W/2\n7UREZAjn66+IRLzRQnXVSvuSxQWpTxtQ168DALtdGTCoUKlOqar03nOH/buv9V/ty370PHyv\n46P3ClKZ9kI4H/pn002nGxafvz6a2OPBO/VUB8Dbfbf/njpY/zkeXHrFD5WDT3mwLt8AwN7/\nvhXAE3ctA3Dwhz+vW/1DXaqD1AIRKWViizvgvq4nJVMdAGGbcfNzHlX54N/vNqpJs9vK1UkX\njgxVLrp3bUCv2Fkv/Vk+/JrtfHUfs/OMZKprUKvXzv84HzVJJ9sz5PH9D3nuh+jR55wOYP1X\nZ72+KXTaomWbf/9gjH31uYc9aWCFiIgoHVFTra5b08TYvELYl/1YiBq1BWXDegCic9dCpToA\nrkUviNra+t+lhITz4/fUlX8UqkoF5/CN6mRv+htZ/8EKAIePqWi4sN+xo/UfwpWvJqT87qZx\nogFn6WQA1d9VA/CUdgj++sHNV1xwwozDdp88vmd5+fzVjZuQykYc3PBXm6v/Ph1cwXUfNFqt\n2W3lqu8RVyhC3H7rTwA2fjvnx2Bsj1sOS71aOujIrWtV+8c7+ahJOtneir368/W99nv+7iv2\nBrDkyvedJZNu3WuAigG3HtV/54fmAccZWCciImqSCKS5QyKl8Nc2/ZL5KRvWAVC6di9YBao2\nq6tWbrVYQgj7998keja+9/c3IRRvupcUmwKg0XN3iqus7icHgBFz7rtht8b3sp0lowA8M3vK\nITe/0330/7N33mFOVekf/557b3oymV6YoUpXOlKUIkoRQV12RbGgYkFEXew/FF13xb7qqqzC\n2ldFxYYoKi5KB1FUVHovwwzTa3py7/n9cTOZkEkyKTczmeF8Hp6HzM2957yTSXnzlu97/sXj\nRkw998J7Hh1QNHvC7acqUgfW9AECAeGatNQ0t1e0aMzj7iwwLnnjKTz58Xd3rRA0nV4anetn\nVqBdKgIqORNhSSgideyOOz1njewo3/7vT+UZ/f8lR0gN3Qwe+w4FDWIwGAxGKKjBGPwOQqix\nnZY7SxJXUQ6AtJ5jR6pDDEug4ELddXqTNbor8NOHv1VOH9+oSlPy/Tb5hjb9Ip7c6anpNWnS\nOb57Pfa9n37xe+4Avat+6xX/WtvxoiXHVs723ftWky2qdn4OTPD9KDqPflnpSBl5QcBp4feK\n7be7+aEBz9/yyXtFB+/eUlIweXmGnyxzzb5lwCQ/q459Wekw9B+bIEuCEmlY+9wUTdFXvwFw\n1qz+oNw2+AFvseTPK06o9L3DXspgMBgMZaApZjEnr2lUAJS6e/ZpDYsSDldVIdcUkg6t5tiF\nlFYhoBpt8LtObzL7P5mt5v933bx9Vm89qKv29zn3e8tABW33v/dNP/Dudd+XNJbNfXDbpVde\neeVxDh7bXpHS9IFDfHfZTm55rqg+YLKcpfiVB7863PCT+P69l1pE6dJnzg2wJPxeERJQ+9Dt\nisd5QubfcnG5W5z13Gj/u6wlb9234mDDT9KH9/+pXpTOe2ysUpZEQqQRu39c33PUC7MuvukX\n4cd3iZD+xJg8j+Pga889N29zSc75zylpEYPBYDBC45w0VffB28Tt8f+cEws6u/sHaU5sB/Dl\npfINLjevtWyQcvKg0VKnI9ChplTs0q1VTEpyeG3X1c/+ecBfPx7UdeTMay7MRunKt9+tHXEV\nVr0pn3Dn16+81vPqyWecNW3GJUN6pO9cs+zd1fv7Xf/uzGw9pBnjM+au/efU21X3DinQH961\n9fUlX5yRq3UV/vrS0o9vvPIyA0cAaLK0T13Sd+fVN5x9hmn72o+Wrz/acdLCl0fmNDUm3F7N\noTKpALy66HVnn2FXzfBKnKjNY+7qaHr2q73a1PMf6p7qf74hf8iLfzlzz5U3DOtu/n3dR5+t\nO5I9bN67kzvFb0nkROoljnhmzd+nD1r91ktf7HFc/+zqfgaVo3LF3IeWaPJHvffxnxU0iMFg\nMBhhEHPyrDfMpaaGxCvhnOdPsl1+TfvUOmnonKApZnmcV+vA845xEwgCK6ikjCz3gCEhrjnd\n6X/HR1uXPj6ioOr9V5568d1VZ1z17B+f3Ou719jp8j/+WHnDxE4bPnvj4YUvbitPf+S1b359\n8xoA4LSfb//ymvM7f77okTsfenbTfum1nw9//vHDnUyu++bcVuPxCvoOf2HLaw9fW7hp+ROP\nvbDpiOmGh17b+dWCpoV3zezVHNnDn546uMuGx+++98lv/Y/f9FB/AL1ufTrAi8o++5+7P19Y\n/cuXTz72/Lr96qvu/tfvm55XN5gVjyWRQ2iQaS0h8dgqrHy6WcMB8Nh2f7Wh5rwJI8180Eey\nTSJJUlVVMwUTgiCkpqYCqK6uFkXFxqgIgmA2mysrlRxrrdVqjUYjpVTZZXU6nVqtrq1VsovH\nZDJpNBq32634spIkWa1WBddMS0vjed5ms9kUHQSelpZms9mcTqdSCxJCMjIyANTV1blcik2w\nlpetqqqSYpp5kJmZGfS4xWJxOBzhrzWbzSqVyul01tcr2SVgNptdLpfdbldwzYyMDEKI1WpV\nfNm6ujq32w3A+Mrz3kYKQurvejA2r47n+bS0NAA1NTUeT6CESszIy1ZUVCiymu6T94UjB6Ue\nvXU3zQWg1LIyWq1Wq9XW1NREcrKwf492zbekvk7+0d1/kHPMBbSJu2k0GrVarcfjiXDZCDEa\njQAsllj0xUK97hgx8/ODA4c99cfyctulftolep7LveT7w8vHtaJhiHbyhKDPNDfe7nvphYrb\nw2AwGIxmIPX1je2xlBKrhaYopm6abMipWNp6eVgfnp59LD16azesUf20meoNjkkXt7ZFjNZB\nclfc9u89po53+Xt1yUN0jt2+75d98O0Px8uqxjy9ZIZqy4/F/ceeld38ZQwGg8FQDr602P9H\nzmoR26tjZ7fJMi40K0jtVCtAiJiRqZLHxUpSK+rqMeLn6PKpg27YHOYEjXlsydHPAw7OveMe\n24HPfqp33fjZ3Ym0LnYid+zoK7NG3fb2FvkH/cMvTbG8NG7QyjE3LfruP7cJESdj3771Ou2j\nS2Zk6RoOSOs+fOXLDb8W1vN9zhp+/V9nddXxYY8rewmDwWC0PbjSEgBUpSJuN4B2rGDHl3u1\ny2hObvgzWwxqNAJyoNTaWOnIaIN0mbayelrUV61f9uoRj3nmwx+/Pj6wTXvaZZelDs1Sxrg4\niPTbxqGlf77t7S0X3PbC7weK5CNpPZ55YvbI9a/dfsmSvZGtQQ9uenN5cY3Hr6rv8KcP/WvZ\nDyP/fPMjd16rP/Tdgrtfo2GPK3sJg8FgtEX4kmIAYkEnKgho345dWQkAKgg0LaO1bfFCDV5n\njrOxcZqnI7vK6m1VJ9559LKmdy1d9tHL953V8iYFEGnE7rF7Vqf3mf/dv+c1XqnvPX/JZteW\nzKf/vhC3Lg1/ecnGFx56dXNZ7amF4dT1/LI93Wc+f9n4rgC6P43p1/3zg5Mzr8pVBT+eZ1Dy\nkryQktkMBoORzPClJwGIuR24qkpSWxNyHEXbR545IWXlJE/SUzJ6NaKJpR45rV/5x2AEEOlL\n5ZMK+xnXX9X0+LRruzkqv2z28vT+l81/5Mlnn/4//4PO2g3HHeLkhtkamrTRA4zqbetLQx1X\n9pIIf3EGg8FIKkh9nezJSTl58rQJrv1G7GStEykriYq5qVYn9yCTmBpUGYxEE2nErpOGrz9Q\n1/R49a5aXhM49awpanNBdzNE1yn9Iy7rHwD66httOFMv/G9nrWt08OPKXuL78ZVXXvnhhx/k\n20ajcdGiReF/F9KgY5SSkhKVWEyzyxJCZCEVpeA4Tl5Z8WUVX5PnefhJySi4LKVUpVIpuKb8\nqGq1WrVareyyer1ep9M1f2qUGAwGvV5hAbCUlJQYrgqj1KBWq7XaZvrL5CeJWq1W/EnC87wm\n1GiBmJDfJXQ6neLLGo1G6fgRWWnG0LM3PbSfFhWqnU5tTI+J793MZDIp+24GQIE/kySJlRUA\nNJ26cg3P4WR4N5NMKbSmWi+6SbAL5bcInucT8X4ew5oKCtkw2gSROnYPDs++/r1rtz65a0Rm\n45uvrXjNrGWHMwe/GtvektMKIFPV2MeQqeLdde5Qx5W9xPdjcXHxnj175NtpaWmCEOljwidA\nDjTy3Vt92USsSQhRfFlCCJeAJA7HcYovm4hnVIKWje3PRJoOwvK7K8I12ZOEniwGQIwmVUam\nx5wqAqivi/MxSZ4niT+09KTocQPgCzpyDRYmw7uZy5SCmmpisYS5MBFPVDS4d1GhoMvOaBNE\n+rT787JX/9b50rFdB15/y1UAdn345sKaP954ZWmRlPfhx5fHtjen0QOocku5au8ztcItCmlC\nqOPKXuIzY8yYMTk53kZ6rVbbrKAox3Hyt3CHw6HgC0ZeVlk5U0EQ5GCV4svyPK+glC4AtVrN\n87wkSYovSymVBV2VQqvVEkI8Ho/iy7rdbgUlrwHI8T+Xy6X4srE9+cNoGoui2GxcQaPRcBwn\niqKCesvyspHsHhXyk8Ttdiu7rE6nczqd9NgRAkh5Hex2O9HqCEBra2J7jRNC5ECp0+mMTXE6\nzLLxv+2QY0fkrwKu1DTO5ZJj5Mq+m/E8LwhCtG87RG8ggKem2h3MGJVKJQiC4u9m8pt5DG87\noigqm7VgJDmROna6rIu2//7FnFvuef35vwNY99A96wl/5rjLl//7lamxdiGo9P2A9Xvt7ly1\nN1ux3+4xn2kOdVzZS3xmTJw4ceLEifLtCCdPyI6d3W5XdvKEWq1WdkaCVqtVqVSUUmWXlSdP\nKLsmx3E8z4uiqPiyik+ekH1Ql8ul7OQJtVrtdDqVnTwhO3YOh0PZyRM6nc5msynoBwDweDzN\nTp4QBIHjOI/Ho+wfVBAExSdPyN5SIpZ1OByak0UAXFk5LqtVUGt0AOw2a11dDMMneJ6XTbXb\n7cpOntBqtfH/mTQnCtUATTFbREnjdMqOneJvkhzHRbumVqdXAVJtjS3YhUajUXbslDVVnjwR\n25rGhoYPxulAFEHdlB6T31+z21J6aNsPm3746ZfjVdYd378/tU/sNQTa1HH5av7rLeXyj27L\nrz/XuwaPyw11XNlLYjabwWAwWgtSV+vrnABADT5NtXZYyM+VlQIQk0Sa2A/5Yefa42MeIfWJ\nobV/rXZCuIjdihUrwtxbWlz4S8PtSy+9NJbNieqey3rf98bf1+Tc3zvVuWLR84b8CTM7GACE\nOq7sJQwGg9G24E56Z06IOR0AyF2xAIilvv1NFZOHiYnZSefYyYonxGYFpQhdOcpgtArhHLs/\n/elPEa4Sc6lZ9ysem+t84f3nH650kDMGjF14z80k7HFlL2EwGIy2BSkpAkD1Bnnmgc+x4yz1\nSqbGk4FkGybmhzdQKorEbqN6FiZgJBfhHLt169b5bkvusoevvn6bvcMNd8w+f8RZqbzjwK4f\nljyz6GTHy9Z9/XyEm/Hqgi+++OKUQ4SfcN09E65rcmqo48pewmAwGG0KTp45kesVmaJaLRVU\nxONuf8Mn5HAdkjMV6/OnrRaROXaMJCOcYzd27Fjf7bVzztpm67Hh2I/D070tCBMumjb7tlnn\n5Q26bMHMPW9MTKyZDAaDwQC4Eu/MCd8RajSSmur2V2PHl5UCoIIgpaa1ti2BSI0ZcAuSz+9k\nnOZE2jxx//sHzrhmsc+rkxH0ff51U89Dy+5NgGEMBoPBOAVaUw25cyK3cZJVw/CJ9ubYJeEw\nMR9Up5etItb2FihltAMifcEctHs4dbCTOYjOE0paxGAwGIxg0BPH5Rui34hSOXrU/lKxSThM\nrBGOozo92qM/zWgHROrYXZ6lP/jO/x11niLbJjqPP/jGAX32jAQYxmAwGIxToMUnAFCD0Vfj\nhYaIXXtz7CSJqygHIGUlqTSVZDACaH8ZcEY7IFLHbsGSq5w16wecNfmFd5dv3b5nz28/rlj6\n0kX9+n9X7bhy8fyEmshgMBgMAPREIU4tsENDhybfvjwMrqqCiB4kpdaJDJUlf9uZP81oF0Q6\neaLTJf9Z84Jw+f3/ueva1b6DvDpr7gvfv3xJp8TYxmAwGIxGaFEhTi2wQ4OmGhx2Inoon5Bh\n0y0PX14m35Ays1rXklA0lDYyx46RdERRlDpu3svFFQe/fP/VJxf+/dHHn3pj2VeHK4tfnnd+\n4oxjMBgMhgxXV0utFpxaYAef9AalRNEBVq2L3DlBU8xUq2ttW4IjGUxgqdjwiCJXUszt2cmd\nLIKiQ5MD0PPcjQeqFVyQEHLvkdpor7KVvkEICahYC1jQWbuWELK2Vskhwk2J7uudytRl6pU3\nT02QLQwGg8EIAV/SMHMiIBXrN3wC7WX4RNIOE/Mhp2KJpZ4NnwgKOXpY+HoFqaqQf6TmVHHy\nJVL3Xq1rVYTMmTNnpEmdzAuGJ5xjN2jQIMJpfv1lq3w7zJnbt29X2C4Gg8Fg+MGVngRATSbv\n2IMGqKFx+ESQWEHbxDtMLDlbYgE0lDYSUSROR9KGFVsLrviE8P5b8BtJRepqhWXvuq+eRbuc\n0YqGRcjixYuTfMHwhEvFGo1Go9H7DpIalhYxlcFgME5f+JKTAKTc/IDjVKOhKjVksdz2gW+Y\nWHaStsSiIRWL9vSwKwe34XsK6u/YgVKACGtXh76oedyWXfdfNblnfqo+NXfCVf+32+oOOMFe\nuunWaWNyU42CRt/1rNFPfbpfPn501ZIpZ/dNN2iy8rvNuOeFepGGP+7LnDa7Y1Nq9y8fP7CL\nTq3N7z3i0fe2Byzoj6Ni89hs/cBZL3soRFfRE3Ondc1O1RjT+42d/vaWklgfJCB8xG7jxo2+\n22vXro1nGwaDwWDEDqW8HLE7NQ/rvdNoJNVV7UYsN5mHifmgDVEPYrUgWTs8WgBu9w5u766A\ng+TwQSI1mSBPJVJ8Qvj0g6aZa6n3mVLffs3sRF03Dzp3pWHya299lSuUvXjrDWPO4Sp+f9L/\nlPvOmfpp5oy3vvhnvs6zbul998wYfo21Ituxpf/U285b8J+vlwyxHf/h2iv/ekmPC9fO6e2q\n2xj0eFQ7NmXqqP+b/cLzC7sb1r/z2IPXDnV3P7lwRJDAs6Nyy4VnTqyd8s+f37xNIJg/evBr\ntjEvvb28Twa35bNFN47p7tlTdFOPGCsrIqyxk5xON6fWqFghAYPBYLQ4XF0t7DYAUl5Qx86E\n6qp206GZzMPEfFCDEYSA0nbjT8cGqSjndu+I9GxKuT07gxzObD7nXrXnvncOu9ZW/XesWQ2g\n35rSyTOWlrulLFVj4rHbnAffuP6OKVk6AL3PePCuFy/+w+oeVbuqXpTmzr1qRI4eQwZ992ne\nQVMaAEdV8ONR7diUwa+ufviKbgBGjp5UtTF98Y0fLNw1L+AcR+WWyedMPTbq8QNv3iYQWIqe\nf2ZbxfqapaNT1AAGDx/r/iLj0bmbb1p9UbMPS1AicuyoWJ+qTxv+/oF1V7SB7DiDwWC0M+Rw\nHQApWMROMpr4dpQTTOZhYo3wPNVqid1+mg+foJlZTYNt5PAB4nQgIGZHCBUE2qM3mkAjCHme\n+GKLNm2i7GMBMObP2bhxTsA5d919y5oVnzyza9/Ro0e2b1zZcOZdVw15Y2qnrmMnTxx17rkT\nJv9p6lk5YY5HtWNT7pjUWCxxzawzXnriYyDQsbt9yGTJwFf/tkMCANTs/ZZSaYz5lJGtqa69\nQCIdO8Kb7+mT/s6b28AcOwaDwWhxuJKTAIg5FUYT3IGFPt5C/vYSsUvqYWJ+SAYTb7ef5oon\nUt9+TR077pcfhW++CDyVUmnUOPHcsTFu5JQIpw1zgugsvLj3mdtSR8+ePmH01HNvmHfV2QOm\nAuBUmUt/Ln5w06rv1m/c/P3bT8+/fdx933zz1IRQxyPfMSibm/6hAAAgAElEQVT+eU11uppw\nmqbndJ37wZfz+Nz8adOW3PPVrX1VZh0npFotJf7XEhK7JmWk34ce3vh1/8I7bntpRWUwjRYG\ng8FgJA6+tBgAye8Y9F7vVLH2kRNM2DAxiaKkXthdoi6uFSRJiRVN7XGYmxJIg4dJQ0d4a+kI\nJ9+Q+g8SR46Oec38qf0dVV//YvF+q7GVvpuXl+cvCFe9955Vx507f/ry8QfvvHLa5L65NfLx\nkvXP3XXvP88cddG8BU9+tGrrz88PXfPy/WGOR75jUP69uth3+70X96X2urbpOQvuv0iXfcmq\nB4d9e9fErfUuc7ebqVj7ynGHxot6wZQLblp6OOrHqIFIXcKply+QcjotvnPa4ru0OXlZ2lNz\nzEeOHInZAgaDwWCEg1K+tAQAyS8Ifr+sqWa3E4+HCm17+ESChokdqVR9+ruxrJ6Xf8w0iH/q\nb+mZ3XyTYxjkQGm7KW1UEkI8F15M+g3i9u4kVZU0NU3q1Zd26hLPkpkDF12c8/FFE2a/8cTc\nDuqKl+be5TTPGOeXvtRknE2lj59btv6287oU7dzw1L0LAOw8VDosp/aF5xbW5uTPHj+Aqzu8\n6NX95l73AdCEOB75jkFZed34p50vXNDdsO6/C5/YY3lx16Whzhzxt1UXLu4w/S//KfzfHf+a\nkP/AqIsNLz0wsmfa6jfufXFz0apPYp/pFelbgFarBTpMmRKkvIPBYDAYicPXOUEKgr/XSz6N\nYquFmtu2/lQihomdqBFe3WL2b9OstPFvbDXPObe2T6B6TBSw4RPhofkFYoivIjFAeOOyHWvu\nvfnBeVeNLxfNQ8bftG7Jo/4nmAruW/XM0b8+cPmiOmHAsPH/+GxX9tVnLTi335Tqqm+eq/6/\nf98z5oEqc26nIeNmr1tyL4C03o8GPR75jk3h1Xmrnps+/x83P1Lo6DFw6LPLd97RO+TrkfDm\nt75+IGfYvAc2TX985S+2v85+Yu7lJU5Nr4Hj3t3w+QWpzXiQ4R4rSpv0JMfK2N491u89oNRq\nrYIkSVVVVeHPEQRBlu6rrq4WRcUS04IgmM3myspKpRYEoNVqjUYjpVTZZXU6nVqtrq2NeuJK\nGEwmk0ajcbvdii8rSZJV0VFLaWlpPM/bbDabzabssjabzelUbNQMISQjIwNAXV2dy+VSdtmq\nqioppmxWZmZm0OMWi8XhcIS/1mw2q1Qqp9NZX69kjMRsNrtcLrvdruCaGRkZhBCr1arIsqp9\nu7VffAJAtWBhPYW7SY0dV11peP1lALarZokh0rVB4Xk+LS0NQE1NjUe5oU/yshUVFTFcq9nw\nvfrHzTTFbLnllJJzjUZjMpkAxLDsm1tT9pWpAz7rOILO6e67xju1Wm1NTU0Mpqp//Unz/Sqq\nUlvunO9/3Gg0arVaj8cT27KhkGVlLTH1aoR63cWMsq9BH/KfmBEnSvYcnTh2VMHVGAwGg4GG\nzgmaYiamlKAn+KaKtUpakKutEQ7t54qLSBOPM5bVEjBM7HCFqmkEQ6I4WqWKp9jO27PidhG3\nYl+cGIz4advVGAwGg9HukTsnxNy8UCdQlZqq1cTlauFCfq62RrP6K+HIIe/PGq1jzPnugUPj\nWVPxYWIU8EjBJVgphYfGrs7amAG3WGhaeszrMNoQNQfnXzxrc9C7jHmzv/loZgvbExTm2DEY\nDEYSQylXVgJAyglX4kyNJlJV2ZL1XsRh17//JvGrc6Aup3b110QUxWHnxLhoAoaJESDLKJZZ\n+KZBO7NOUvOxFyP5hvYSqwXMsTs9SO3+lN9MriQlieUfGQwG47SHq60mdjsAMSdkxA4ANZjQ\nsqlY9fZtxGI5ZdA7pSBEvWmd3NYaAwkaJjaiqyNoMfnILs2UdYandTPgDEYomGPHYDAYyYss\ndAJAzAkXxJLTgi2ZiuVPHG869BOUEpeTlMY4wlxuiVV8mNg5XezDOwf6cIMKnOd1j6v/iQoC\n1WjBpOwYSQZz7BgMBiN58XVOUL0hzGleKbuWlN5wuwNnRjXeFWMzgdw5IWVmKztMjBAMyD+l\n33z0GfYrh9THv4m3f4IpnjCSCebYMRgMRvLClzTTOSFDWzxiJ6VnIkTjgbBnF7WdojFEnE5i\nbz481jglVml+PaEBkKKVMgwiECTUGBuyP32aj4tlJBuseYLBYDCSFUq5spNornMCPsfO4SBu\nN1WpWsA0V/9Bqp2/BR4lAIXw28+u3TvUQ0e4h5/LHz6o2fgdV1UFgOoNrpGjXQOHBg/I+YaJ\nKdc5IeORyK6TGgCDCpzlFr7SyvtGUMSJZDDx7WaYG6O9wCJ2DAaDkaRwNdXE4UAEETv/4RMJ\nN0vesUOB4/xJ4BpiX4QAEDNz3P0Hg+Pgcmq2rDe88pxuxUdctVenl9itmu9Xab/+POiCCRom\nBmBPidruJgAGFTizTSKAcosyjl0rZMAZjOZgETsGg8FIUvjSk/KN8C2x8JfesNRD0c6DMLgH\nDxMO7ReOHqZanadnb0/Hzp4+/UCIOGKUfutGacdvRJ6kQhtUgCkAqPbsdA8YLHbsErBaIoaJ\nyWw/oQGQbRI7mD1FtQKAahvvkYjAxTt4yVtjx1KxjGQiXMTu/AFn3bjR+7bSp0+fR483E23+\n+wsvKWYXg8FgnPZwpScBUHMq1enDn9k60huiyJ8sAuAeMtwx6WJP3/5y3E5Kz1BdPcs5ckzw\nqwgRDgUZPsnJLbEpZqrVKWijzUX2lKoADC5wAMgyigAkigqLAgkrb8TOYY9Z4YXBUJxwEbvi\ng/sPPPHapr9NUnHYu3fvH9t+/PFk8Dluw4cPBzDzllsTYiODwWCclng7J5oL1wGgKhXVaInT\n0ZJpQf5kkRyTc3c5I4hJ+pDOaNBGCq68BEor2AHYUawRJUKAQQUuANlGrwdWYRVyU+Id9n3K\n8AlzyHHvDEZLEs6xW3z7qPOfeWT0qkfkHz+9bMKnIc6kQcUfGQwGgxEzlHKl8syJ5h07ANRg\nJE5Hi0rZHTkIADq9FKwEkIaYbAtK+eITfHlpow8ninxlOX+yGICodB5W7oftkuFO04sA9Gpq\nUEtWF1dWzyOixzUcpwyfYI4dIzkI59iNe3rN4ekbfjlcIlI6Y8aMiS++eUNOM+kABoPBYCgC\nV1NFnA4AnuY6J2So0YSqipaU3pCnxLo7dw3a5Sp27kZ1euKwo8k3f66qUv/fVz3derhGjSPW\nes3qr7lab4OFevcO8YyeYn5HRSyssXNHq1QABhU06thlGUVrFadI/4Q88AMAZ6mPN/rHYChE\nM80TXYeO6ToUAD755JNJl19+RW44hUwGg8FgKACl/LHDallMhJBIUrFocSk7YrfxZSUAxK7d\ng9ujUjkuulS74iMiSrJvRwlHQD3devAlxcRqEQ7tFw4HFtsRS71u2bv2a24QlRA92V6ooRQ8\nh34dGh27bJN4tEpVpohjp9FQlYq43WDDJxhJQ6RdsR9//HFC7WAwGAwGAK6mSrdyOXeyyPsz\npfovP7NP+ZMv6xcKSS7kbykPgz9yEJSCEE+XbqHO8XTrYbvhNvWWDfzJE3C7pdwOrmHniHn5\nxOVS//qTatsPxGEPvIZSIonqzevt066I30i5H7ZXtsugbowayv0T5fW8IiVE1GAiNVVM8YSR\nPETXFmQr+u2dV/45/967/nrXfU8uevuXQvZUZjAYDMUgoqj7eClXUux/kD92WP/5R00TmgF4\nI3YtJZarOnIYgJiZ5WvIDYpkTnVMvsR6w1zrLfPsl04X8/IBULXaOWKU9ca5CDq8glK+8Fj8\nFp6sE0rqBQCDO54yTyzbKAJweIjFoVhjLBs+0fL8rbN5yD+aSGRHgLN2LSFkba2z+VNj2tdW\n+gYh5KgzeHKeEHLvkdo4bQhPFDp2n/5txtWPf+SUGt9cFtw5Z/qCpcse/UsCDGMwGIzTDuHA\nXq6muulxrvgEf+IYMjPDXOt17JzOlhg+QSl/9BBC52EjghcQYtws8bhjX7YBOVynFWifnFNm\n12aZvJ+4ZRY+K+6GB8lgZMMnglLsqvhfzU/HnCUd1TnjU4d20ig/Ka4tMmfOnJEmdUK3iNSx\nO/Lx1ZctXNZx3I3PPjh71IDueuI8uGPLfx67+/WFl6kHHnn3z10SaSSDwWCcFnANisRN4UtC\n3iUj+WkU07R0Jc1qakxZCbFZAXiCCZ1ECNVoqMFIbNbAYCSBmJ4Rp4UU+P2EGsCZeU7VqUnX\ndL3Ic1SUSFk9f2ac2zSWNrKI3SksKfn8keNv2CVvREpNhPkFM+/Nv7J1rUoGFi9eDMBZm8At\nIg1EP3vnF8b86/d+99rl44d1yEpPzcwbOu4vr67ec0OB6fM7nkuggQwGg3H6EId0FG3UVEt4\n9Ejuh6UqlVTQKZ513AOHBPmVKdwDh8azLIDDFapqO48meVgAHEGmQYJCg8Xk2keO1dj58UXV\npvuPvuKQGh95N/U8WvjWe+XfxrOs9cR3N0wZ0zFdn5bba/ZTn/ueNx7bvvkzJ+WnG9UG88Dz\npi/7vapxX8uu+6+a3DM/VZ+aO+Gq/9ttDYwEOyo2j83WD5z1sodCdBU9MXda1+xUjTG939jp\nb28pCb9veGr3Lx8/sItOrc3vPeLR97b7jsup2GhtiIpII3Yfltt6PjRPz51SD0E4/bzbe/33\n4Q+ARTHszWAwGAx/wkjWNT9VzNhy0huygp3YqSvl4/KNnMNHkapK1Z6dIASEQJJAiHvgUPeA\nIXFaKOdhTVrpjMwgWd1sk1haz5dbeCBujWJ5qpjdBlFEfI9GW2R55YbPqzYEHFxfu52cmmWn\nAAHuP/rK6pptTRf5U/qYaRkh5pQ0ILmKJvW7eG/nS15+9+scqfi5u677sMjSAwCk24aM/MA+\n5OW3VvRKdX72r7uvGT6gQ9mh0SlqUNfNg85daZj82ltf5QplL956w5hzuIrfn/St6ajccuGZ\nE2un/PPnN28TCOaPHvyabcxLby/vk8Ft+WzRjWO6e/YU3dDZEmLfZpg66v9mv/D8wu6G9e88\n9uC1Q93dTy4ckd30tEhsuKmHOYING4nUsTNynKPUEcSmUgfhm+nVYjAYDEYkeHr2lsxpXF3N\nKXEsQqTcPLFj5/DXUkGgWi1xJHz4BHE65UliYfphI4XnHVP/7O43SDi4l6utldLS3T37SHGL\n2Hkk7DypATAw38kFa8/IMngAdVm9EhE7oxEAKCU2a0hN5vbLXvux5ZWBjl1QKGAR7UFP7q1r\n5rkNoHDV7K1W47ZN7w0yqgCMOMeUkn0pgLoj/3h1b/V/T3w+M98A4OxRozekZ/31mZ3bHxtc\ntee+dw671lb9d6xZDaDfmtLJM5aWuyX5j+So3DL5nKnHRj1+4M3bBAJL0fPPbKtYX7N0dIoa\nwODhY91fZDw6d/OEO14Oum+zDH519cNXdAMwcvSkqo3pi2/8YOGueQHnRGjDTasvimRHH5E6\ndnf2MM9/Z+7Pj/0wNE3jO+iq/fX21/ebuz8V1ZYMBoPBCArlBfv0q7Rffsb7FduJBZ3tU6fJ\nY1ibudxoIo6ED5/gjx2BKAIQu8XROeGH2Lmr2LmrIkvJ7C1V21wEp+oS+yP3T9Q4eJcH2vj2\natQotlrE08+x663r3DTY9kXVJpFKQc+/JH0UTwJrwCJx7I59uN+Qe5PsXQHQZlx8YZq2CCjb\nvE6l731tvldkl/Cme7qbb/l0Fx4bfOKLLdq0ibJXB8CYP2fjxjkA5OfE7UMmSwa++rcdsqE1\ne7+lVBpj1vhvmuraG2rfZrljUr7v9jWzznjpiY+BQMcuQhuAxDh2sz559JEz7zi3y4Abbp91\nbv/uWtgP7djy9r/f3G9Tv/TxrKi2ZDAYDEYopLQM28ybdJ99KBw+IJlSHFP+JHbsEuG11GhC\nRXmiC/mFo4cASOZUKTWxLRox82uhBkC2SSxI9QQ9QZayoxTlFi4lvpyTLB+IFlQQTCqmZQTJ\nok7affeP9bulU307jpBe2k7v9fxbbBsRngSI42SpuCLvRNNTjvM8oVQEIDklwoX027vO/eDL\neXxu/rRpS+756ta+KrOOE1KtlhL/tQgRfrxxSdB9mzfY77Y6XU04TdNzIrQhgt1OIdLmidRe\nc3evXjyyQ8WSJ+bPnHHZ9Bkz5z++uCx3+Mvf7rqtNxuQx2AwGMpBCBUEAFJWduReHRrK7LhE\nR+xkoZNukRQatQIOD9lXqkbocB0apOwAlNbFLWWn1VFegDwulgEAuLvDFZRS4ufbEEIkSu8r\nuDrmNTvP6GUtef33hu4Ht+WXzyrsALJHjXHb9iw9aZWPU9Hy/P6agkvOApA/tb+j6utfLN5L\nbKXv5uXl+aTjFtx/kS77klUPDvv2rolb613mbjdTsfaV4w6NF/WCKRfctPRwqH2b5d+rG9Uo\n33txX2qva5ueE6EN0T5WUTynC8bNXrenvHDPtlUrV6xYuWrb7uPle9fPuaCxJWps7yR9nTMY\nDEbbgrPbAUAf3RRHbyF/Ih07rqpCnuuqQIFdYthRrHFLBMCA/JCOnVZFTRoJQFl93I4dIfDO\n/GCOnZdJqcP/3e1uk6DzHdFxmn92ve2yjPNiXrNgwpJh+rrxY6//7H+bt6xePuu8C9MNAgBz\n13/c2DN17qjpH36zYfuW7x66fNgPjuyXFvQDkDlw0cU50kUTZq9cu+3Xzd/MnXiX0/yXcacm\nOkf8bdWFKdXT//IfbfqUf03If2jUxf9Z9s0f27c+d/voFzcXXTetU6h9m2XldeOffu/Ln7eu\nefbWcU/ssTz4dsjKvGZtiPaxijbERwp6Dy3oHfy+E8eORrs9g8FgMJpC7DYAkk4f1VU08Y6d\nLHQCnhc7KVkVpyByHrZzuifTEK7jNdsk1js5BRw7gBqMpLYm0YHStsXM7EkXpY9YV7P9sLO4\nizZvTMqAHFVciXtOnf+/P1bceuMD1186DsaCGQs+fmXFNQ8CAL/4l83pt8y768oLK5x8n2EX\nvvfjf8aaNQAIb1y2Y829Nz8476rx5aJ5yPib1i15NGBZwpvf+vqBnGHzHtg0/fGVv9j+OvuJ\nuZeXODW9Bo57d8PnF6RqgFD7hoNX5616bvr8f9z8SKGjx8Chzy7feUfo3GYENkRH1LlbBoPB\nYCQaWf6XanXNnumPVyzX7SIuF1UnRN2eP3IIgJjfMUHrx0mdgztSqQIwKD+IjIM/WUbxUIWq\ntI4Dgpf5R45kNHIsFduEDMH8l8zzFFzQ2GnSu6snNf585wn5B5Wx7zNLVz8T7BJN+rBFn34X\noMemMY+jfl3nWUMfkqSH5NsPLP78gcWR7hsKfc6NHueNALbdGqS1tGHr6GyICubYMRgMRpJB\nKXE6AFB9dBE7yU+jmMY9vKEpRPTIU1zjGTiRICqs/LEqYddJjUTBceif7wp/frZJBFBaR2KX\nhG5Abow9PZsnGEkIc+wYDAYjuSBOh6wnQqNNxfoPn0iAY8cdPyZPcY1rRKzSuCXy5Q7Dj8e0\nvgiImqcWJzGGTWHJjbEukVRboyk2DwYbPnEaUnNw/sWzNge9y5g3+5uPZrawPf4wx47BYDCS\nC2L3tt3RKJsnqNEIQkApZ03I8AlZ6IQajGJWEA391uKz3wy/FJ6iauF0k1e3mO+7oFqnChmP\n8zXGltSSDtH5z4HIiifEZoUkgVOgaI+R/KR2f2rjxtY2IgTsKchgMBjJhdw5AYDqoqyx4wWq\n1SJhHZrC0cMAxK5nRKKW3DLU2LlfCwO1yihgcXLbjoXTHk7ViSqOAiiti/d38WoUSxJxRCSE\nwWAkFObYMRgMRnIhd04AoLroInbw9U8koN6L1NdxFWVIsgK7EzVC0KAcITheHS4lRQgyjSKA\nk7VhzooI2qBRzBpjGckAc+wYDAYjufCmYgmhmqiVDhLn2HmFTgjxKDr+K04oDR5vIwBFM6E4\nucyutDbeiJ1fzwors2O0PsyxYzAYjOSC2GWtE20MBVveQv4EOHb8kYMAxJy8aCv/EkpuSvCh\nYRJFhxB3+ZAnxpbEn4rV6eW/FLGyiB2j9WGOHYPBYCQXcsQuNv9Jjh4pr6kmSULhUQCeZOqH\nBZBlFHvnuAJcM0Kg4enZnZuRspP7J2qscHni8+0Ikf9YHIvYMZIAJR27v7/wkoKrMRgMxukJ\nsdkQvdaJjFdTrV7h0BFfUiy7m2LXJCqwk7licH33LLf/EZNGun5EXYq2GeVhORVLgTILH6cN\n3mFuTPGEkQREJ3diK/rtkxWrdx8utolCXrczJ/7psiEdjb57Z95yq9LmMRgMxmmH3BUbrTqx\njFzITzxu4nRQTbi20KiQ87BUoxFzOyi1plIY1PTmc2qXbDIfrlSl6aSJfWz9OzhVfPPCw9km\nkQAUKLfwBanN5G3DQ40mlJ5kqVhGMhCFY/fp32Zc/fhHTqnx1bLgzjnTFyxd9uhfEmAYg8Fg\nnKZwDjsAqo3FsRMN3i/bxGpR0LGTOyc8nbuBjze4lSDsbgKgT55rSMdmMrA+1Dw162mNjcQf\nsWsobWQRO0brE2kq9sjHV1+2cFn22BuWrf6xqKyyurx425pPbjwv56OFl8387GgiLWQwGIzT\nDKsVgBRTxA6mFPl/BRtjid3Ol55EUuZhZShQaeMBZBqiE2bOMUkAyuvjTsUmqLSRwYieSCN2\nz975hTH/+r3fvabnvEWmQ8f9ZcjYyVLn3I/ueA5/XhT+cgaDwWBECHHYACCmGjvJ4B0+oaBj\nJxw7DElCkinY+VPv4OQGiGgdu+wUaV8pXx5/xE7OgFvqQeOfPctgxEWkEbsPy209Z8/zeXUy\nhNPPu72XvfyDBBjGYDAYpyWiSJxOAJI2urETXnheHj6hiOIJf+K4ZsMazaY1AKS0dJpijn/N\nRODzzLKMUTp2csTOwkvx+WNyKhaiCDZ8gtHaRBqxM3KcozRI4YKj1EF4Y9PjDAYjKMThUP/6\nE1dSDEkUc/Lcg4dRA3sFMRohDrs36mOIUS5OMph4uz1OsVwiipqvP1ft3eU7wtVUq3/c7Bp+\nbjzLJogKKw+A45CqiyUV65FIrZ1P08c+X5c2aBRzFguSaZAu4zQk0ojdnT3MB9+Z+3O10/+g\nq/bX21/fb+4+LwGGMRjtEL6o0PDaIvWW9cLhA8LRw5qtmwyv/1s4uK+17WIkEbLWCWKVO4FC\nwyfUm9b5e3UAQKlmw/fCof3xLJsgKiw8gHSdyEcp4ZWT4pVEibN/QmrsWWGNsYxWJtIXwaxP\nHtXYfz+3y4BbFzz93rJPP1n23tMPzR3Q+ZxfbOp/fDwroSYyGO0D4nHrvviYuByg1PsPIC63\n9qvlvtmgDIasdYK4HTsunkJ+UVT9/nOQiVyEU/26LfZlE0allQe8s1+jIlVPNSrAL5kbG1Rv\nACFgU8UYSUCkjl1qr7m7Vy8e2aFiyRPzZ864bPqMmfMfX1yWO/zlb3fd1js1oSYyGO0D/vAh\nYrEgsJaHEpdL2Le7dWxiJB9cQ5EWja3GDpB8hfwx22C1EKcTTcvOqMRXlMa8bOKQU7HRdk4A\nIECOiQIoi7MxludlRzwuf5oRE3qeu/FAdWzXVh/ce6gkeFkkIeTeI7XRLmgrfYMQctQZ/Kko\nr+msXUsIWVvrDHpO/EShY1cwbva6PTef2PvLrkPFTmg6dOs7uE9HNpKMwYgQrqYy+B2EcFUh\n7mKchtisACjPU40mtgXiT8XS0GJ1lEs6HTtKUWHhEFPEDkBuKo5XxRuxAyAZjLzNyhRPfOwv\n5X87oaq0knQ97Zfv6ZsXlwR0gvhw8jmvTF2141/Dmt41Z86ckSa1stslYs2mRDd5ourEESsx\ndeneCwBgO7DPWxvUq1cvpQ1jMNobVBXi9UwpVSf8pc5oK3ByKjamQbEy3qliHg9xOOQO2ehX\nMNIUM6mvayLeQaSCzjEbliBq7JxHikXrRCYnhQIk3oidrHhSXqqgykzbRaJ4/yfttmMqEBAA\nFFsOq/rne64baRfaQjSIeixEMC5evFjxleU1nVHHAaMj0sfYUfHdlN4ZGR3P6B2MhJrIYLQP\nxI5d5CqcIHd16trCxjCSF5sNgKSLMQ+LhlQs4gvaOUaNA6Xwr7MjhPK8M/m6YuU8LIAsUzPD\nYYOSm0IB1Ds5eXZFzMj+tCIqM22djQfV246pAEAuJwYA/FEkrN4T1zdY0VX0xNxpXbNTNcb0\nfmOnv72lJPJz3JZd9181uWd+qj41d8JV/7fb6gZwR75p7sHqnS8MN2RNB5Cu4hcdP3739HG5\n+VfBLxUb9Nrw1O5fPn5gF51am997xKPvbfcdb5redVRsHputHzjrZQ+N6BeMhEgjdq9eOvOb\nA/VTb51/Yf8uQlxPfgbjNEXKzHKfNUC147eA42JBJ7Ezc+wYXojdDsQXsWuQ3iCWemRmxbaI\n58z+DknS/m+lrypUSs9wTLpYinXBxCFnUXmOmrWxROzyGqrEyy18p7TY04Xe0sbTLBW7vVD4\n/YQq4OCeEl4ewhvA93s1pXVBIqMDCtyDOjb/yC8YPfg125iX3l7eJ4Pb8tmiG8d09+wpuqmH\nuflzuutuHnTuSsPk1976Klcoe/HWG8acw1X8/uS/jlT26Jv76uQvfn1uhHz5JzdNueDKp9Y/\nPaRxReoKem14U6eO+r/ZLzy/sLth/TuPPXjtUHf3kwtHBBHBcVRuufDMibVT/vnzm7cJBPMj\n+AUjIVLH7rFt5d2u+OzLVy6JdgMGg+HDMWEKVBrVrz/6HySih6nVM3xwDhtiVicGIIvlKjF8\nwn3WAO261XDYPT16OYedK+V2AJeMiTRZ6yTTIHExBR2yUyghoDRex04WpDzdumJL6/jthZE6\nEm4RQU/OTZGAZh55S9Hzz2yrWF+zdHSKGsDg4WPdX2Q8OnfzTasvavacP7/47TuHXWur/jvW\nrAbQb03p5BlLy91SllqtIiCCWq32WlXW9cW/zTrff9+qPfcFv1YV7rUw+NXVD1/RDcDI0ZOq\nNqYvvvGDhbsCheEclVsmnzP12KjHD7x5m0Ai+gUjJL6HVIgAACAASURBVKK/BxXry91ivyv6\nR7s6g8E4BZ4X09JUAAixXXY1X1mhWbOKO1ms2vEbxp7f7NWM0wKrFQCNbVCsDM9TrY7YbXF2\naHIV5fIcBdfgYVKHgniWSigVsWqdyKh5pGrFajsf78RYuWfF46YOB2IqbWyL5KSITYNtfxQJ\nYrCsOAEGFHiaFqTkpDT/t6vZ+y2l0hjzKR1Fqa69wEXNnnPiiy3atImyZwbAmD9n48Y5QXfp\nfn3fgCORX+vPHZPyfbevmXXGS098DAQ6drcPmSwZ+OrfdkgR/4IREpFjR3jjeanaw2//jEu7\nRLsBg8HwRzh+FIDYoUDs0k3s3FXYt4svKtRs+I4OORvJ12/IaHm8ciexitjJSEYTb7fFmRbk\ni44DAMdJefnNnduaVMaqdeIjyyRW2/lya3TdhAFIDRlwWOqRerqogA3q6Gnq2L2+WbezWAjI\nQxCCbhnirHNiHLmmMus4IdVqKfF3CwkRIjln95NLCReRq52SHlgFKDmlCK/1x98AdbqacEE6\n3LvO/eDLeXxu/rRpS+756ta+kfyCERJhXJ18uHKh65trrl/431JrMnYsMxhtA0niC48B8MhF\ndYQ4JkwBzxO7nX7zRSvbxkgSbFYAUnyOnSLDJ/gTxwFIuXkhG7qTAElCtS2uiB2AbKOIuKXs\nGmcDWuriWacdcGFfp0BOaRUjBASY2j925TZzt5upWPvKcYfGi3rBlAtuWno4knPyp/Z3VH39\ni8Xb9GArfTcvLy9CGbnYrv336mLf7fde3Jfa69qm5yy4/yJd9iWrHhz27V0Tt9a7IvkFIyTS\ngonL5q/IyVP992/X55m0mR0KOp5KDBszGKchfOlJ4rADEDt3k49IWdmuISMASNt/JkcOtaZx\njCSAuN3E4wHiap6Ab/hEfI6dUFQIwJPfKZ5FEk21nfdIQJwRO6MIoNLKS7G01XqhRqN3+ET9\n6d4YW5Am3XG+rYO58dHMMUlzx9q6Zcb+N9KmT/nXhPyHRl38n2Xf/LF963O3j35xc9F10zpF\nck7mwEUX50gXTZi9cu22Xzd/M3fiXU7zX8aZNQB4gvqD+0pKKkLtG+baMKy8bvzT733589Y1\nz9467ok9lgffvjTUmSP+turClOrpf/lPJL9ghEQa5cvMzMzMHN95YAxbMBgML/yxIwCooPLP\nbbnOHSPs28XV1gjfrCDX30L5uPJBjLZNw3C5eOROoMjwibpaUlcLQCxIasfOp3USV8TOJALw\nSKiy8zE7iJQXqEZLHHbUn+4ROwCd08X7JlgrrVy5hcswSJnGGFtb/Llj5S+2v85+Yu7lJU5N\nr4Hj3t3w+QWpgQ5WiHM0y3asuffmB+ddNb5cNA8Zf9O6JY/K54+569IH772x1/AZtcfeCbop\n4Y2hrg0Fr85b9dz0+f+4+ZFCR4+BQ59dvvOO0AO6CG9+6+sHcobNe2DT9Mcj+AUjIdKPkOXL\nl8ewOoPB8Ec4fgSA2LGTv7I/FVTOCVN0nywlVZXqHzc7zxnbegYyWhmuYVAsdPFF7AwNjh2l\nodQTm7Gk8BgAECLmJ3VORtY6UfM0RRt7tC2rwSksr4/dsQNAjUbisFPm2AEACEGmUco0xhEF\nPRVOlf3A4s8faCIbbPPr1Ah1jiZ92KJPv1vUZM3et75Vcetb8u0q9yl/etpQJBjq2qDoc270\nOG8EsO3Wp5re27DmOOpXgZg19CFJeki+HdT4aEnG3nUGo11CRA9XVAi/PKwPT9czyFkDAKi2\nbuKqQiYFGO0er4hd3BE7b42dKBKHI7YVBLnALiOLxlftl2jkiF2GQYwnHpSilbQqCqAsvsFi\n3jK70z4Vy2hdWNKHwWghuBOFcvlUU8cOAHfxnz0H9hGnQ/u/r2xXXBtblIXR5rF7U7FxdsX6\naxTTmHxEuXMiyfOw8InYxZGHlckyioXVQpwTY73D3E775ol2T83B+RfP2hz0LmPe7G8+mtnC\n9gTAHDsGo4WQ87DQ6cWsIBLkxJQinTee/3YlX3hM2LPD05fJRp6OcHY7AKrR+ifrY0DyHz4R\n7PkWHmK3c9WVAMSCpM7DAii3cACy4sifymQbxcJqIc7GWO8wNxaxa++kdn9q48bWNiI0zLFj\nMFoI/uhhAO5OoSfGDh1Bdmzniot0a1Y5RIk4HVJqmtipK1Unr9gEQ2FsVgCxxdj8aRw+EZOU\nHV94TJ6GkuQtsR4JtXYesU6J9Ucus4s7YmcEADYultGqMMcuEJUqcOxdAHzDN2lBEDjlBuzI\nyza7ewxrJmJZQoiyaxJZJkDpZeU/UCJM5Xk+qmWJw8GXlQBAtx5BLySE8ILgufAS9VtLYHdo\nVzXI2ukN7smXiL0C9dAjtBOAIAhUuZFl8rIqlUqKXhnC4wmpgslxXLOPp7x1JGdGBSEk2r9m\nhMRgquB0AiAGQ6gL+cgjeXoDrBaV3UZC2+B7BxMEgfh93xBOngBAzalCRmak2zUxUtmHVBC8\nn1b+y1bVcfIk2+yUGLfzvZvJE2OtLs5F1QZ1jK8XzpwKAA473C7CKfykivndTMGXP6NNwBy7\nQFJSUiI802g0Nn9SNBBCIt+9dZdVfE35Q0UQhEQsq1Y04iWvqdFoolpWOn7UI0kA9Gf1J8F+\nR0KITqcTa6rEgHdhu0312Ye6OfM4WdM4enQ6nS7uCFAAsT356+pC1h6pVKpmjfT5lIo/SXie\n12hikRUIsyYArVarjXK0lMfjlgDeZA76OxJCDIZIu2Xd5lRqtWjcTn0ED1fAsu7iExQQuvXQ\nxPFQJ+LdLGDZwzXeG93yDCmxPsfld7OuDblcq2jKi9VwKSdX/u5C6+r4jMxEvJvF4Ni53W4F\nzWAkP8yxC6SysjL8CYIgpKamAqipqRHFeAs7/Jc1m83N7h4VWq3WaDRSSpVdVqfTqdXq2tpa\nBdc0mUwajcbtdiu+rCRJVqu1+VMjJi0tjed5m81ms9maP7sB7a4/VAA1p1aBINifIy0tzWaz\nqVZ/Q+SB5D4opYRzrP7GPu2KqOwkhGRkZACor693uVxRXdvsstXV1TFE7MLgdDqb/dObzWaV\nSuV0OusVrWEym80ul8tuj3HSUVAyMjIIITabLdpl9dVVPOAShNpgT5KMjIy6uroIP6d1Wp0A\nOMrLHaFf/jzPp6WlAaitrfXFU4nbZSw+AcCale2O6a1DXlbZtx2NRmMymXDqW/SRkzrAoFVR\nt62yMoqXYyOy811TUyNI4LhMScLBYmuaEGMrMSdKsoNM6+tEc2pNTU0zF0SD/G3KYoklt56Z\nGUvkldFGYXInDEZLwB8/AsDTqUu4k2xWUl+HJnkTQiW++ETCTGMkEfJgkjjniclQoxEAH32N\nHVdUCEkCICZ3gR0atE7iUZ7zIXBI08VbZkd9kew6Jb+gMhhRwRw7BiPhkPp6rrICIYROGglT\nCsOqZE4PiM0GJZon4GuMjV4slz9RKNsgxVRg15KUK6R1IpMV98RYqlLLc3WZRjGjFWGpWAYj\n4fDHDgMAIc1E7PQGajASmwUBXhwhUk5uwqxjJA2UyhE7Gt/YCe9iBiMAzmqJdviELE0s5ndK\nfjFFBSN2ALJN4t7SuBtjjUZSXUVDl5O2D+S0OCM5YRE7BiPhqAqPAhAzsrxqCKEgxDV0RKBX\nBwBwnT0yIZYxkgnicMg5UKpXJBVrAoBoh0+IIneyCG1BmtgtkToHB+UcOzliV2njPXGUjzYM\nn2CpWEarwRw7BiPh8MeOABAjaGt1nT3SdfZI/0gJFQTHhIs8Xc5IoH2M5IA4vPX/ikzx8g2f\n4KKRVeNKionHjbbg2FVYeLlCIUuhVGy2UQQgSaiyxh60kzPgLBXLaEWYY8dgJBauqoLU1yEy\nxw6EOM+bYJ11q3PcRBAOgGvEGPeAIYk2kpEMEJuSjl3j8AlrFI6dUHQcAFWpxOxkz/5XNrhf\nGYpG7BDfxFjZn273qVhGMsMcOwYjscgDJ8BxYkHnCC+RMjJdQ0eI2TkAuLrqxNnGSCqI3evY\nSUo0T1C9ARwHgFSUR36V3DkhdShAfDPNWoDyeg6AQU31seoJB3CkUsURAHj/Z9PrP6ScqIml\nBt2bimVdsYzWgzl2DEZiEY4fBSDm5dMoJXClrGwAXHlZIqxiJCFex47joI3XsSP1ddqvlssV\ne9q1/zO8+YpcD9AMlPLFhWgLeVj4OicUysOu2GF8d5tJnmPhkcjBcvWiDanbT0QtWy2Pi6V2\nG0LPWWEwEgpz7BiMRCJJfOExAJ7o50ZIWTkAuPJSKCoFzEhavFonWl287ah2m2HpG6p9u30H\nuOpK/cfvCYf2h7+OrywndjsATxty7JTIwx6rEjYfPmVGiEQBiuW/Gx2e6P4W1GACAEopmxjL\naCWYY8dgJBC+9KQsYNGMgl0wxKwcAMTj4WpZNva0QI7Yxd8Sq/l5K7FYTtE+lCgAzfffhr+Q\nKzwGADwv5RXEaUMLoKCI3a4STVP3jQIODzlUHt0Ir8bOd0XnozAYkcMcOwYjgcj5LyqopLz8\naK+VGqrX+bJShc1iJCVytIzGnYfljxxCU9UcSrnaaq423JArvqgQgJSTSxWdXp8IHB5icSqm\ndVLv4ELF5WRFlcjxGz6h5DwxBiNymGPHYCQQ4fgRAGLHTjT6UnSq08nf/gkrszs9UCpiR1zO\noGqIAIjTGeZCWZrYk/STxABUNDSuKhKxM2mlUP0XJm00hRB2m2bjWoAAkD58R7d8GVet5MBc\nBiMSmGPHYCQKInq4okLElIeVkRtj+XIWsTst4OxWKDF2QkpND16lR4iUYg65e22NV5en7RTY\nQaGI3Zm5zqaOHQG0Au2e5Y50FbvN8M5rqt9+9oZLJUk4tF//9qss4s5oYZhjx2AkCu5EIfF4\nEKGCXTCkrFwAXFmJkmYxkhabDUponXjOGhBkuDAhnu69qFYb7ArAV2BHiCe/Y5wGtACVFh6A\nSSNpBAW0Tjqne87t5gAa/WFCAIJpAyzaiNfX/LiZC9AlphSiR/P9qvgtZDAihzl2DEaikPOw\n0OnlNogY8Cqe1NdFNxWK0TaRa+wQtzqxu1df98ChQIOf0uCsOEeMCnOVLE0sZWTFb0ALoKzW\nCYBL+1lmnl3fweyRHzO9WrpjTM2ggnCZ6wCEg0GajgmlfNFx4nIpZSeD0SzMsWMwEoUsTezu\n1CVm9QopOwcAKOUqo9CYZbRJRJG4nACk+P0qQhwTLrJdMdPd+ywxO1cs6AKOB6WarZvCXCRL\nE7eJPCwU1Trx0a+Dc97YmtHd7AB0Ai1IjU6IjrPbggRKAVAqt8YzGC1DLMraDAajWYjDwZeV\nII48LAAxPZPyPBFFrqxEbAsJMkbMEIfd6xbo462xkxE7dRU7eZ97mi0b1JvXCQf2Cgf3ebr3\nCnK2zSqX+YsFbeNppqDWSQDZJhFAlZ0XJcJzUeR5xRQz73QE8e14nir0N2UwIoFF7BiMhMAf\nPyoLC8fcOQEAHCdlZIL1T5wGcI2DYhWYJxaAc/i58hNJ+/0q4g6SFuQLj8keSZtoibW5iM1F\noHTETkZ27CQJldboPh89fc4KWtro7tGbCiyGwmg5mGPHYCQEucCOmlOl1LR41qHZuQB4pnjS\n7rFb5f8TEt3hecfEqSCE1NWqN61rer/cOUHNqTR022zy4GuJzTIpP5QlqyEKWGaJTqLIPWS4\n2LELAP/SC8mU4hw3UTHjGIwIYI4dg5EQZGliT6fY87AyYmY2AFJeGrx8h9Fe4OzeMiyamN4F\nsaCT+8z+ANS//sSXngzcvfAYALEthOvQkIclQEYCInYGtaRXUwDl9dE5dpTnbVfMdEycik5d\nwBEAYl6+7Ya51GhS3EgGIwzMsWMwlIdY6rmqCoQosKu28TuKNb8Xacoi+OQQs7IBELebDRZr\n59isACgvJG7qg+O8CVSnhyRp/vfVKQOIXU5ZUqdNjIhFQ8TOrJNU0dTARY4ctIs2YgcAhLgH\nDKY33Mr1HwwAPJ/8MzwY7Q+W+GcwlITYrKq9u/kDewGAEE+nLv73Ojxk5U7DtuNaX/Stfwfn\nn/pbjZqQGSUpJ0++wZeVSqnpibGa0fpwdhsAGBJZZa/TO8+boP1mBV9SrPrtZ/fgYfJh6egR\nbz1oG3HsKhPWOSGTafAcqxIqrLF/PnJ5+dJvv3AVZaA05qZ4BiM2WMSOwVAMYdcfhtf+rfn+\nG6+CHaWa71fJGsUy7/9i2nZM659T3VGseXNrSsh5RgDV6eWiKzZYrJ1jtwGQ4h4UGx73mf3l\nVlnNprWkYUq9dPQQAKrTSekZCd1dKRKhdeJPtlFEQ8I3NkhePgDicARKFjMYiYc5dgyGMvAl\nxbpvVshSZD5U+3Zr1q2WbxdWC3tL1AEuHAVO1Ah7StRhVpZy5P4J1hjbnvGqEydaF4MQx8SL\nKC8Qp1Oz9lv5GD1yCIBY0LmtxJYUVycOIMskArC5iNUV40ck6ZAv3+CalDMyGImGOXYMhjKo\nt28Lelz1x6+y7vzx6pDVNsdC34WG/gk2WKx9I6diFVAnbg4pLcM1/BwAqn27+YP7IIpS4XG0\nnTysxck53InSOpHxNcbGHLQjphRiNIF9H2O0BsyxYzCUgZSFaFwVRbmRwhOijo4AnrCfUPJE\nMq6ulg0mas/IzRMJELFrinvEaCk9E4Dm849cf58PWdmujZT5+7ROEufYZRhEjgPiy8YirwMA\njjl2jBaHOXYMhkKESWPxPIDclOCfQxTIM4f7iKK+wWIVrMyu3cLJ44BbZE4r5XlPl24A4PHQ\nhuIBzf++Uv+0uQV2j5MKCw+AI8gwKC9iJyNwSNOJACLpWw9Jbj4ArpQF2hktDXPsGAxlEPML\ngvp2VK0R0zMBdM90NY0xEAKDWurXIdyscTE9U3YNWTa2PWO1ApBaJGJHrBbV778AAU9Xotm4\nlqtJdlUdOWKXqhOjmvcVLfL8ifj6J/IgB9pll53BaCmYY8dgKIN76EjKC6d+VhIArhGjZLeM\n53BJP2vAVQa1NGtEnVYI+xHF82J6Btj8ifYLcbuJ6AES3zwBABAOHSCiCDTp5JEk4eC+FjAg\nHsrqOSSyc0ImS6HGWBZoZ7Q8zLFjMJRBMqc6x17g/1lJed41+nzXsHN8R346pgUg8HRoJ6dc\nxDOyq6NTmidwrSbQrFywiF37hdi9g2JbJmLHWepDWpL08hyVVh5AljFReVgZ2bGrtPFizPtk\nZssjYvkyVmbHaFGYQDGDoRjC4YMAqF7vHDmGGk1ifkdqMPruPV4t7DqpBjC+l/38Hjari+wp\nUR8sV03o1fzKYla2ADC90/YKsTWEcnUtEbGTQssg+z9jkxDa4NglrnNCRpaykyRUWnk5LRs1\nHCdlZvMlxez7GKOFYRE7BkMZuPIy4eghAK4Ro92Dh3l69gn4jFy500CBFK00upsdQM8sN4Bj\n1SqHp3lHTcrOAUBcLq6uNiHWM1qVxoidviWaJzxdu4PjAkvsQECIp3vPFjAgZmqscIkELZWK\nRXzZWPllyxw7RgvDHDsGQxk0P/8ASqlW5+4/qOm9O0+qj1apAEzqY1PxFECPLBcAScLhiuZl\nJmTFE7Amu/aKzQYAhNAET56QoSlm5+hxoH6t3IQA1DlilCyDkrSUNiSKEx2xM2okvZoiPsfO\nK1RUUQYxsdYyGP4wx47BUABSXy/s2QnANXAIVQWOkZAovt1jAJBtEocUeFvksk1iml4EcKA8\n3NgJGWowyoPF+ApWr9MOkdWJqUYj99m0AK5h59qnXy3ldQDPg+OknDz7tCtco8a1zO4xU1oL\nAHyDHElCkX3H+CJ2uQCIKHLVlYqZxWA0B6uxYzAUQP3LVogi5XnfYHV/fjqmLa3nAUzpa+X8\nvkz1zHL/eIzfV6pCv+a3kLJz+KOHOdYY2y6RHTttS+RhfXi6nEHP6JlmNoPSmvp6j6f5Jp5W\nR47YpetFLvFBiSyjeLxaiMuxy8oBIaCULyuVMrMVtI3BCAOL2DEY8UKcTtUf2wF4zhrQtPbc\nJZLV+/QAuma4++SeMjqiR7YbQIWVr7I1/+HRMFiMRezaIXLEDi1SYNdkb67FwoTxU1ILJL7A\nTkaeGFtmiT38QTUaKcUMNn+C0bIwx47BiBfVb9uI0wFCXENGNL13/UFdvYMjwEV9A0Xsume6\nOAIA+8siLbPjaquJmw0Wa28Qux0tMii2rSNH7BJdYCeTZfAAsLmI1RV7H7qUkws2MZbRsjDH\njsGICyKK6l+3AfD06CVlBBaeW13cxoM6AP06ODunB6a69GpakOpBZI6db7AYYdnYdgfxDopl\njl04KEVFPdBijl1DXLAijqCdJH8fKzmpjE0MRgQwx47BiAth9x/EUg/AdfY5Te9dvVfv8BCe\nw4V9bUEv75ntAnCoQi01p4MqZWR5J1j8P3tvGh7Hdd75/s85VdXVCxr7DhIAF3DfKVGi9sWS\npdjxbnnsUZxMEmebO/Mkmclk7sw89+YmT+bmuRMlublZPLaTOE5seR3Hli3bkmVtpESRIinu\nAEksxL4DjV5rOed+qEZj6wYa3QWgAZzfBz7NqurTB91Vdd56l/8rn/43HI7ciViTUOz6YTQM\n0wZWKxRbEUhm8g3lUxjr1E/EoiQSdmtiEsniSMNOIskDIbRzbwOw67fYdQ3zdg6H2ZkuHcA9\njbFMPoaWKhNAzCQdI0uEewRjvFQ2FtuYkKhTPLEaWifrl1XTOnFQpmtv81c8AcCkmp1ktZCG\nnUSSO8rtNjoyDGB237AUL17z2RweRTy2K5ZphK0lpq4KANf6ls7jSabZyRVigyEEScQBiFVp\nFLt+mdY6ESXele0nliL/jrEiWOzY6/Kylawa0rCTSHJHe+c0AF5Wbm1P6vXHTHLujudH1/3f\nv+K/2u8B8MjOWMCTcR2iFDsqTABX+5b+OF5ZhVRjMcmGIR4D5wDEqjSKXb84HrvKAF+1pnr5\nG3YgJHnZynp2yWohdewkkhxhA32stxtOdh0hAK70a9++GIgYM89LKhP3NGd01znsrDSu9Gsd\nwyRqkMUXkGRjsUSCToUcGQXJBoBO9xOTHrtMCKB7nN0YAIBiffW6ODiG3WiE2RwsVzeIXVXD\nuruYNOwkq4X02EkkOaKdOQVA+PzWvgMA+kPKP50NRo0515Rpk1falsiI311tAuACN4eWcAzY\nFdONxWRYZwPhaJ1AeuwyMBxmf/Nm8f94ydc9CgBtw9oPr/ntVQnGVhXZAGyObJQmM5HsGDsx\nRizTtZlJJJmRhp1EkhPjY8qtVgDGsROCKQDevK0LYGGI9HS77rQtz0Spzy732wBaB5fwoIui\nImftl4WxGwlH6wTLlzuxOJmM0Y0dlY+b5PNvFneNzegBCYFXb3pfuLoa3s2U4km+/ScAcC7b\nxkhWBxmKlUhygZ56DZwLTTMPH3e29E4qacw6wOJkOMzqixfr19RSZb7Vwa73sw/tX+JzeWUN\nu9NBZFhnA5H02FEqPHqWb+mZUL53xd81pgoBlYkTjfH37Y561Q1o473TpYcSaRwQpzu8j7Us\nlr3qCkUe7lVFzCR5GXYVVWAMtk2HBu3aehenJ5GkRRp2Ekm2ENtSz71t93bbE+NkfBSAefCo\n0JOLMSVp7ToAWDLVe2el8VaHPhalw2FWuahGl11Zxe50SMWTjURSnVj3IruigJvD6pfeKgaS\nJTSmTU61e28Oa//bQxMa22i2Xde4QkiaYiEh0D2uzOvRtxJUBOzucWVoKo/CWMbs0nI2MsSG\nB2UsVrIKyFCsRJIVZCrk+9LfeF5/RbTfEqMj4AIAnQql1pyGEmvhskwAlQknU2cRdlaaTmr2\nzaVaUMzk65hyjdggkHgMy6mc+O6lgBDOCZhEAINT7FR7tg6/dYSduQTWWp00u/wLYwFRVQOZ\nGitZLaRhJ5Fkhf7yizQ0AWC290BpvaZcv+y8fmB7jFExbxESwEM7YspSeVAeRTRXCABtw9ri\nRybzdYSgI9Jpt0FwqmKzrJwYjdDhcBq/HAFuDC5x8qxHaoosnuHqqS1elcZiRS4YdrbzPDY0\nKIWKJKuANOwkkqUh8Zhyuy3NTZkQ7eol52VlwP6le0J01iXFCB7eGXt8V/pmYvPYWycA3B5R\nFy/34xVVoBQAlfUTG4ZoBADPrnIimqEhvQAi6XLR1jsnmhLKguclEOyqMlan/4TjsYsYNNM3\nnw2OtDgxDTo57trMJJIMbMAbgUTiOnRqKv2jthBkfOZOHdS5Y5YdqU988sjU7z0+/vTeCM1u\nOdjfAAAJi9wZXywaKxjjpWWQjcU2EMniiexCscVenvaEIkCpb/UE3laNUp/97F1TmjLn6msq\nMz91bJVar1b4k2VPeTUWq65xXkg1O8kqIA07iWRpuMeTYQ9JFU8AON+tA/Ao4uNHwse3Jpa1\n0DaWC58mALQulWYnG4ttMEjSY5dVKDaoi20V5kLbTgCHGxJuT60g2FNjHGlIANBVPHUQv3gi\n9Bv3T/q1Vesqxp1ns5FIHrWGXp8oKgJA5GUrWXmkYSeRLI0IFvOy8nRFi8LatiP5CrjYowE4\nUGeoyy9OpAS7qm0AN7NLs5ONxTYMTvEEshax+9jhsEeZ/9Mfrk8c3aCGHYDOMRXA8WZ84i7s\nrckjJrp8GBXFXhvAUJ5pdpXVkB47yaogDTuJJCuMBx6dLz9MCC8uMY/f4/yvY1QdjzEAh+vj\nuX1ES7UFoGdCiRiLXZjJxmLxOJkK5fZBkgLCtolhYDnqxGU+2+/hAFJR/o8cjHz6+NSqdVBd\nZaYSdDDEAOytW5sJJAtj81A8AWBX1UBKi0tWBWnYSSRZwW7emGPXUWruOxT9178s9GQE7UK3\nB0DAw3dU5ChEsrfGAiAEbg0vFo21K6qSU5KLxPqHRKOO51X4sjXsrvZ7RiMMwEcOJvPMyv2L\nyV+vd24NqwIgwJ7atZmAIy2Zp8fOUTwhoclUBzmJZIWQAsUSydIot9vUa5cBGCfu8z3xNI1E\nYj5/PDET+bI4rvR7ABxpSNBcH5dKfKIyYA+H3F5ZLAAAIABJREFUWduQeqg+Y1hNBIvh9SEW\nZcND1vaWHD9MUhjQeLJoOnuP3eu3vQBqiqy7G+Pfu+I3bTIcUVqwYXUNbw6rAGqKebFvbTwR\njg7lWIRxjpyvbicUC4AOD9pbm1yamkSSBumxk0iWgMTj+ks/AMDLKoz7HoLXR6prwOY8vt8Y\n1CIGAXAkvzynlioDQNvQEml2jtOOSI/dBiCaNOy4nlXxRPuI0jWmAHhoZ4wQOJIfI1Mb+U5+\ne1gF0FK1Zl5Jx2NncYzF8mgsVlomVA0Ak/UTkhVmI98OJBJX8Lz8IpmaAiHx939QsPRO7vPd\nHgAVfruhJK/lp6XSBDAZp4OLJvTYlVWQidgbAkedGAD8WcmdvNLmAVDs5Y5Pt8JJ/4rkFSUs\nZEYizEldbaleMzGXqukuf3ml2REinMtWPo9JVhhp2Ekki6HcblOvXwZg3H2fXb8l7TFxi7QO\nagCObcm3LHF7pcmowFK1sTONxawNG4DbLDiNYhVFKEvI3AAYmMS1fgXAA9tjCgWASr8Lef2F\njJNvSil2VK6ZYVekc10RyL//hCNTLD12khVGGnYSSWZiUf3HLyAZhH0w01GX+zwmJwAO5a03\noTHRVGYBaFtczU7zAADn+neeVy+chb0BlWk3CctSJ/7RZSIEdEXcvTVZeV1ZxAFMxJmVXrd4\n3eMk2G0psXR1LcV9KtzoGOs0FmOjI/KClawo0rCTSDKi//THJBIGpfGnP5QpCAvgQo8HQGOZ\n5UqPo52VBpK9xdIv1drZt/QXvuO8Vu506i+/6P/7vyWhyfw/WrL60HgM2fUTCyfo27cB4N7m\neMrKcfoiCIGR8Aa8mQuB2yMqgB0VxtrOxKmfcEXKDrbNxkZcmZVEkpYNeC+QSFxhJgh710m7\ntj7TYaE4bR9RARzJVb5uHi1VJgDTJu2jaUxJ2tfjee1liGnZfSEA0Ikx7w+/68qnS1abaAQA\nstA6eaPda9pgFCebZ/QyKlPpX/nZHIVJX0iJGhTAjso1TjmodMNjJ6pqHJFzMiijsZIVRBp2\nEkk6sgvCArjQ4+EClOJgvTtOhVKvrTEB4EtvFf/pK6U/u+md7brTLl+EEPOUkiEE6+6ikxOu\nTECymjjFE0t67BIWebtDB3Bsq1Hsnemm5dOEXxMARjaiYXdzSAWgTucnrCGOYRdO0GgebS+E\nqvISp9GzrJ+QrCBSx04iSUInJ7R3TtOBPkII4olsgrCYjsO2VBoBjwvNK8dj7P97rdiwCQAu\nMBRmL17zX+rz/Mb9k461R8fHQEjaZmJ0bJQXl+Q/B8mqEo0iCxG7d7r0mEkI8EjL/OeHioAd\nGVM2ZGHsrRENQHN5sqJoDZntGW3Mw8q0q6rp+KisZ5esKNJjJ5EAgNp6zfelv1bfe5cN9NH+\nXjo+AsDcsWuRICyAoSnWN6kAcKtN5/cu+8OJmavSsd96J5TXbiVFzoSWsVp2kV2SgiUpUOxd\nTMTO5niz3QvgwBbUBOfncTo2x8bz2FkcnaMKgJ1rHYcFUBmwnQZuLkRjATosQ7GSFUQadhIJ\nSDTi+eG/EG7P84QpXe3JBu0ZON+jA9CY2FvjQhzWtHFjQFvomiDApV6P89re2pTGXUeI0DRe\nvUYdlyT5EF06FPter2c8SgG8/0Aax5UrBZsFSNeY6riu1zzBDoBCRbFuAxiJ5BXmcgpjSSwm\nq50kK4c07CQSKG3XiWUuNJhIIsFutWV6lwAudGsA9tcZmuJCqCiSIHa6YQQwGU9equaho7yk\nFLP7vRNACOOBx4QiMyvWGcQwiKN8sajcidNDbEuptasmzV5Hyi5i5JX+VYA4CnZ+TdQFC6IT\nbmWRG4on043FZJqdZOWQhp1EAjqZ8el5kYqErjHV0cTPs41YCr9njsE2m6LpBD6hatFP/5K5\na+/MoVSJPfUh4+hdrsxBspqQ6bYTPHMotm1IdcL9D+9I7zyu2KCFsU6C3bYKI9NFscpUuVIY\nWxQUXi9k2xjJSiINO4kE8Hgy7tL1THucNmIBD9/pksiWysSuqvRel/11Mx8h/IH4Bz8W/q3/\nYO47CED4vNb+Q65MQLLKEEfrBBB6xlDsa7d8AEp99r7a9M8PFQHbMX1GNlD9RMIiPROFkmDn\nkMpl5PlVSfGqGsj+E5KVRBp2kk2PEEj165wHIVZjc9o9NsflPg+AQ/UJ6t5l9MH9EV0VmGvc\nVQXsR3bMn6Hweu0duwCQqamUfSBZXyTbTgBiQaPYiEFuj6jnunUnIvnQjhjN4LhSqSjxcmys\n+onbI6rNgcIz7CwOx0+fM3ZVDWQoVrKSyKQcyaaGxKL6D76rdNxasINACPPwcV5RlfaN1/pZ\nxCBwrx7WoTJg/+6j4y9e810b8MRMAmBrqfW5k5Npc/icFQIAGxqwmra7OA3JKuFY5IQIz4xj\nOGGRH13zne70pnI+VSaONCzmFa4M2ONRupFCsU4nsVIfL3ejm4srODl2AIbDLJ9ZOWl2dGKc\nJBJikViBRJIr0mMn2SwQ22Kd7erFc8qtVsdTwu50+v/h845VZ29pTJx8aOY+q3kSjz0Vf/TJ\nTKOd7VQAlPvthlKXM7uDOn/maPgPnh49UGcAIASZKjN4cYnQvQDoQL+7c5CsDo46sfDoYEmb\nTABfPhM83eGdXclj2uRfLi9WXbHxCmNvj2gogE5iswnqXFcE8m4s5iieQAg6OuzKxCSSeUiP\nnWRTwDpv6z9+gU5LDAhNs+u3Kl3t4ByUJu55wDj5IAgxTj5IJ8cBwotLMhYyADETV/oYgKNb\nEiuX2L2twrzcp/VMKKZNVJbOtiOEV1az7k4q83XWJ46YjphVOXFzSL01oi488ny35+GdsfLy\n9OM4hbEjYSbEIqftuiGcoIMhhsIQOklBgIqA3TOh5GtAx6JOQMD7jX+ytzQa9z1k19S5NEeJ\nBJCGnWQzwIYHfd95HrNynolhOI46URSMfeCjdsPW6R3E6fmTiesD2p2btGMYhgUAh+vdjMPO\no6nMBGBz9EwozeXpVzi7uoZ1dzLZenJ9QqJRYI7WSftoGqvO4faIuq8p/S7HY2dyMhGjpT4X\nOqCsLTeHVQGQAjPsAFQ6ht1U7oadduZNz+uvOK+JabCOW76OW/EnPmAePOLSHCUSadhJNgHq\nmVPgPI2ur6KEP/s5LNXNycGwyFfOFrUOaSBItWq9NqA9lEGEIn9qg5ZHEQmLdI5mNuwcIfvJ\ncZKIz87TkqwLyIJGsYaV0eFmZDZyqqYVT0YibGMYdgCqg3aRG236XCRPxRM6PuZ542eYdQch\nQoDA89MXrR0tYlEtQ4kke2SOnWTjw3q70zZXhWURK9sMue9f8bcNacCMVUeAH1z1tw1ldLHk\nCSXYWmoB6BzP+BG8ejpfR8pirUOccubZodiqooxZ+ZWZd5V4bYUKbJQ0uwJMsHNwPKNTCeoU\nNi0X5eZ1CDFzB3EQIJaltC+o35JIckUadpKND7EzPveT7DSpDJu82+2ZZxs60aK3Oxfr8pkn\nTjS2a0xNa5cC4GUVTsMJJtPs1iHTOXYzHruDdYauiHl5cgQI6nxXdUaXHSEo928QxZPhMHP6\npxWO0EmKlNmd2/dMwuFMu+hUKMc5SSQLkIadZEMjBLnyHkmkj5YKXedFwWyGGYtQi6d5RhfA\nQGgFl9LGMhNA1CAZPTGUiqpqSMNufTLtsZsx7Hwa/8xdUx5lllsY8Hv4L9wdUulibeuS8rnr\nX6PY0e2jFM0VBWfYpbSgcyyMzRxs5QuEDCWSnJE5dpKNAIlGPKdeY10dNBa1KyrNI3eZu/ay\noQF8/SVypzN11LwgiHHkLmQnLqxmuI0TIH29qktsLbMoARfoHFMzBensqlra10uk4sm6g3OS\nSAAQvjlZnruqjN9/fPy5n5WE4rTMa9/TFL+3Oe5Zqhlx5UZRPHES7LaUmLob/ZfdxdGCzlky\n0Nzeor35szRpIZRazTtcmJ9EAkAadpINABsa8D7/ZWIYzh2T9XaznjvaG6/QyQlni11da9dv\nUd87T+zpjDpCzAOHjZMPZfkRZT67yMPDiTQ+k20VK9ihXFdETdDqm1Q6RpW7G9MfY1fVqAAb\nGyGWKZSVSviTuA5JxJ1KbbGgfMenccdDfE9T/OGdWVXnOOlf41Fmc8IW9e0VMkIk64ILrR42\nhaMFPZRTYSyvrDKO36OdfQuEQjhJIAQQiQceFdmFDiSSbFhjw27wrf/yq//98uwtv/blb/xc\nqQ7wV5//6++/fr57iu3Zf+IX/90vNXtTF1KmXTm8RbIR8PzwX1JWHQDnBZ0YBwCfTzz4WHTf\nIVBq3HWv2nadjo+JoqDVtG1Z2lGE4P17o9+8EJi30aOIB7dnaEfmEk3lVt+k0jW2VP0E53R4\nyK6tX9HJSFwkqXUCcH1+mmbcJFGDAMnMuWxwPHZcYDRCF6nAKHB6J5WoUaAJdgDGomw8QgFc\n6ff82avs/m3x41viyxIOTDz8Pl7XoJ16lY6MAAIQ8Q9+1Ny9f6VmLNmUrLFhN3Fxwlv+wX//\nq/tSW7b5NQDt3/6vf/b1rmd/69/+m1Lrhc//1X/5Heuf/+bXncsn064c3iLZANDxsUxdF+2y\ncvYbvy1UFZEIABEsNo7fk/MH3bU1fqZTvzM+c8k0FFsfOxxeaXWJplLzNPSRCJtK0LTqD7yy\nCozBtunQgDTs1hEk1aF4QX7VWDT55Fnqy9ZEq/DPNLxav4adE4dVmWh0u6FL/nSMql84HbSn\nc20HJpVvXghcG9B+4e7QslYTs2WP2bKHToz7v/CXAASTcTOJy6zxKTV0LVSy9+TJk/vmbBXG\nc1+/vuPZ5z7+eDOAHX+CT3z2//la/7OfrvVn3FWjLvsttTJZdSNAFqkm8+jweJBd3euSTMZo\n76QC4OROcWgLKdXjxWp4FR4PnPoJAF1jyv7aNAIQgil2WTkbHmKDA4Xo5ZBkIOWxE/r8UOxo\nJJn6WZa1YRfwcK8qYiZZ1/UTjtDJtnKz0KLJAvjmhQDnRMzaAuBqv3a5z3OwbtlC5bykVASL\nSWiS9XZbO3e7OFWJZI2rYt8LJUqPlNix0MDQROqCSUy+fiduP/VoMlLmKX3gUEA7+9rgIrty\neMvq/ZGSlWRhflISQjLuyok3bnttDkbFR4/yu5pRV5yuSnYFKPXxEi8H0Jk5GiuqawHIxmLr\ni6THjtKFneAdj52uCp+2DPtmvXeMtTg6RxUUZILdQEgZibCFz4iU4FKvltuYVl0DAKWvJ7+p\nSSTzWWOP3YWwyd/8fz/5lzdMIRR/5ZOf/ve/9sGDRuQSgL2+mbnt8yk/uTIJINMu44FlvyX1\n3+eee+61115zXhcXF//93//94nMm0ykVwaCb6a6EEEJIaWmpu2M6/7o7LKUUwEqMqSjKsoct\nKbFLSkVoAnye7KfQDh5WNA2ApuV4500RM3G2mwG4fyfKAgyA1+v1LFiP84Ex5vf7fb40xujO\nGnK2Az2Temlp+j+EN23jV95jw0OlwWCqnXyKQCAgMung5UpJSUkOY4Yz63hpmub1LqEI6Jwk\nmqa5fu4piqLrbvbtcC49r9e7yLBccA4Qf6C0bH4Xu6hNAVQWzb/KCCFFRUWZvvmGMto9jvG4\np7R02TU0wWDQxZPE+fOX+zO1DhDDJgCObveWls7/3lI3XtdvktncIfui6Z/jBBC15p+QzonK\nGFt8WL6jhd+4Sgf7S4sCyKLsyRlWVZf941pZy7BLNgZradjZRu8kYU1l9/7JV/+w2A69/YMv\n/ukX/qtn5z9+RIsAqJilMFGhMjNkAuCJ9LsybV/kLan/jo2N9fb2Oq+j0ShbsC5mIvsjs2cl\nxlyhYVdiTEJIDsOSj33K/LvPz5IyIYCgjc3q3Sedjuj5T/X1q4gZIARP7Cf5THVxaAbtlZ01\nONuBrlFiC6alu2RJw1YOwDLp2AhZUBSSadh8cH3M7L/PlfjmsTLn8+LfkojHAMDvX/jRI2EA\nqAqm+UsXGbOmGACGQrl8PytxkmQ/DS4wOIk32gAg4EFTBV2kImFNfv2SzJk7xb70X/iSJyrd\ntsMAYFmkv482bctqojn9+dyldBTJemEtDTum1X/rW9+a/l/FQ//q99t+8swrX7zysd/2ARgz\neY2WvNeMmLZSqgCgnvS7Mm1f5C2paTz44IPV1dXOa13XY7ElxAUopY6rJh6Pu/iM6wy75Kcv\nC0VRnMc714dljCUSy04rWQRN0xhjnPNcht3SRHfvw/Xp8mq/X9x90rrvQcswNE0TQphmXpEd\nm+PlqzpADtbbJR5DCJ0QYllWnsPOQ9d10zRtO01OVWMJBTw2R2tvYkdVunt0WTklBELEO9pR\nPOMkcHxghmGkHTZnvF5vbif/IguMbdtL+hU8Hg+l1LZtw3Cz2ZTH48nm05eFruuEENM0FxmW\nhiYBCN238PIcCukAKfVasdicc8zr9SYSiUxfY6mXAdpkDOOhuK5m9esQQhyf4iLD5oAzbJa3\nndYB+vw5bWi6AoEL0dprNJbPnwxjzHG9u3s3Y4wpirLkbafCizK/PhElCwIDOFBnxGJzri9V\nVRVFWfpuVlJGNQ+MhHGr1cmmWBznZp7Dbce27Rz8fJL1S2HV4xyr8r4yPqz6DgCv3YiZNVoy\n1NUWs4r3FQPItCuHt6Q+9IknnnjiiSec15zzsbGxxSepKIpj2MViMRfXS0VRNE2LRCJuDQhA\n13VVVYUQ7g7r9XpdnyqllDFm23YOwxLD8N9uJYBx/B7j3geEIx6RMJAwKKWc8zyneu6OPhEl\nAO5vDkcipmODGoYRjbopdKJpWiKRSLsSFKvwKFrCIjd6rVp/+lXNX1JKx8es7q7EdCI2IcQx\n7OLxuIuWkDNsNBp11w1gWVY8Hl/8GEVRKKWWZbl77imKYhiGu+aCYy0tPqw3FFIA0+OJz/1z\nBDAa1gEE1HgkMuc70XU9Ho9nWtqDqgJoALqG4g0lWdmpjDFnqrFYzEXT1hk2m5+pY1T9/Kni\n2cZS1CTPvaz9uwcnaoJz7q4ej8cx7Fy/SVJKsxnzY4eMv3ureJ7K+e5qY09FaN67A4GAY9gt\nOayvpo7d6bA72mOH71pyAoFAALn++c57JZuEtSyemGj7q1/+ld8aNKaXB2G/1h8t2duilzxS\nr7Efnh52Npvh8+emjKOP1ADItCuHt6ziHypZWZSr7xHDACHm4WNigSRYngjg9dteAE1lZqpA\ndZWhBFtLLQCd4xkfu+3qWgBsUPafWDckiycWlPiE4sn+ddmL2DlUBGzH67WO6idevOYD5vZi\nELBt8lJrwakW7Kw0f/uR8d01hjbdEuNwfeIX7w4tS8duHlb9FgCs906adhQSSa6spWEX3PZM\neXTwP/3B589dabt59eLX/vz3Xo8Ufe5XWkDU3/347ptf+j9fOd/W1375i//tOX/9+56t8wPI\nuCuHt0g2Cuql8wDsxmZeWu764K2DmtMN9qEdbnp0lktTmQmga0zNdP/nVTUA6PCgXCHWC45h\nxxcYduPTInbZa504aEwEvRyra9gZNrnY6/nxDd+pdm/f5PJCQBZH17jKF5ywYlrQrtCoKrJ/\n6UToj35utK7YAqCwLFsSZoTXbwFAYjE6vkSkSCLJnrUMxVKl4g//6g/+/m//+S/+6H+PK8Ft\nO/b/pz//v44EVAA7nvmj30z8+Vef+2+jcbL90EN/+Lu/mnooyrQrh7dINgCst5sNDQIwDx1b\nifFfvekFUBmw99a4mde1XBxnYdQgmeRn7aoaACSRoJPjvGR+laWkAEl67BbUQTsidoQgB+3r\nyoA9GaMjq2XYtQ2pX79QNBVPWjcEOLol/rHDkdn5/ZzjYq/nzoRq2agtto9vmel7GzZopscQ\n0y7om3RzebLRX57j2HUNoBScs95uXub+c6lkc7LGOXae0n2//p//+NcX7iDsfZ/93fd9Nt17\nMu3K4S2S9Y/23rsAhD9gbm9xffCeCcXpXPngjlg+AZf8aSyzKAEX6BxT0xt2NcnkazY4IA27\nwofYNjEMAGKByIsjYhf0cGX5Ir0VfvvWsLo6HrvRCPuHMzOdGAAI4N1uXVPw8SOx2ccMTjE4\nxerAT1u9nzk+pTHxdqd+sTe9YBCZ7pBWsDSWmafa9dHM/WCyRHg8dlkFGxlivd3mgcMuzlCy\nmVljgWKJJB9IPMZarwMwDh5ZqN+WP467LuDhR7e4WQKcAx5F1AQtABmdBF6fCBYDoINSpng9\nEE2mwPMFbSecUGyZPxfLxrGHhiNsFeLxp9p1a1YnhhRnOnWn0S0X+PI7RUPTVqZzZCRBv3C6\n+C9fLzl7RzdtgnTPSwI40bREJc3a0jydbts5mm/ImDdsBcB6u/Odk0QyjTTsJOsY9fJFYpkg\nxDp41PXBx6PsyoAHwP3b4moBNDhqKrewaP8JJxpLZf3EeoCmqmUzhGLLcupB7Bh2hkVS4dGV\no3dSSevF5gJ/9krw/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kiCTkVy3JBZlj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\neDxnKJBh1KYFn89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**5) ACT :**\n\n<br>\n\n* **FINDINGS OF MY ANALYSIS:**\n    + Members Ride More No Of Times Than Casuals .\n    + Mean  Ride Distance Was Almost Same For Both Casuals And Members\n    + Mean Ride Duration Of Casuals Was More Than The Members.\n    + In Weekdays Members Ride More Than The Casuals And In Weekends Almost\n      Both Are Same.\n    + Casuals And Members Rides More In Summer Season Which Is Late April        To Late October And There Was Hardly No Rides In Winter By Casuals         And Members.\n    + When It Comes To Spring And Fall There Was An Fair Not Of Rides By         Members But Casuals Rides Significantly Lesser No Of Rides In Late         Fall And Early Spring.\n    + Docked Bikes Are Only Used By Casuals Not By Members.\n    + Casuals Have Higher Mean Ride Distance  And Mean Ride Duration Than        members especially in Morning 10.00 To 11.00 Am And  Evening 5.00 To       6.00 Pm.\n    + Members Have Higher Frequency Of Rides In Every Hour Of The Day  Than       Casuals.\n    + Number Of Rides By Members Around Morning 8.00 Am And  Around Evening       5.00 Pm  Was At The Peak.\n\n* **RECOMENDATIONS:**\n    + As Casuals Are Riding Good No Of Rides In Weekends We Can Give The         Weekend Offers For Membership. So They Can Buy Membership For Their        Benefits.\n    + As Casuals Are Riding Significant No Of Rides , Higher Mean Ride D         Distance And Higher Mean Ride Duration Between 7.30 Am To 5.00 Pm.\n      So For Membership We Can Give Cashback Points And Other Benefits           Like Peak Hour Offer For Riding Between 8.00 Am To 5.00 Pm So That         They Can Make Use Of It .\n    + We Can Give Welcome Offer In Summer As Casuals And Members Giving          Head To Head Fight.\n    + We Can Give Additional Discount For Docked Bikes For Membership            Because Docked Bikes Are Only Used By Casuals So They Can Make Use Of       It.\n    + **Note:** \n        + Offers Can Be Cash Discount , Redeem Points For Using them                 next time for Our Bikes And Also Fitness Friendly Gifts.","metadata":{}}]}