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.Rhistory
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library(dplyr)
library(sf)
library(terra)
library(tmap)
library(dplyr)
library(sf)
library(terra)
library(tmap)
library(dplyr)
library(sf)
library(terra)
library(tmap)
library(readxl)
airquality <- read_excel(air-quality-index.xlsx)
airquality <- read_excel("air-quality-index.xlsx")
airquality <- read_excel("air-quality-index.xlsx")
airquality_tracts <- st_read("tracts-aqi.geojson")
airquality <- read_excel("air-quality-index.xlsx")
airquality_tracts <- st_read("tracts-aqi.geojson")
head(airquality)
head(airquality_tracts)
airquality <- read_excel("air-quality-index.xlsx")
airquality_tracts <- st_read("tracts-aqi.geojson")
airquality_tracts
airquality <- merge(airquality_tracts, airquality, by.x="geoid10", by.y="geoid", all.x=TRUE)
airquality
airquality <- merge(airquality_tracts, airquality, by.x="geoid10", by.y="geoid", all.x=TRUE)
airquality <- merge(airquality_tracts, airquality, by.x="geoid10", by.y="geoid", all.x=TRUE)
View(airquality)
airquality <- merge(airquality_tracts, airquality, by.x="geoid10", by.y="geoid", all.x=TRUE)
library(dplyr)
library(sf)
library(terra)
library(tmap)
library(readxl)
airquality <- read_excel("air-quality-index.xlsx")
airquality_tracts <- st_read("tracts-aqi.geojson")
airquality <- merge(airquality_tracts, airquality, by.x="geoid10", by.y="geoid", all.x=TRUE)
airquality <- airquality %>%
select(-c("statefp10", "commarea_n", "commarea_notes", "countyfp10"))
airquality <- merge(airquality_tracts, airquality, by.x="geoid10", by.y="geoid", all.x=TRUE)
alternative-fuel <- fread("alternativefuel.csv")
library(dplyr)
library(sf)
library(terra)
library(tmap)
library(readxl)
library(data.table)
airquality <- read_excel("air-quality-index.xlsx")
glimpse(airquality)
airquality_tracts <- st_read("tracts-aqi.geojson")
glimpse(airquality_tracts)
airquality <- merge(airquality_tracts, airquality, by.x="geoid10", by.y="geoid", all.x=TRUE)
airquality <- airquality %>%
select(-c("statefp10", "commarea_n", "commarea", "notes", "countyfp10"))
data.table(airquality)
write.csv(airquality, "airquality.csv")
traffic <- fread("traffic.csv")
glimpse(traffic)
traffic <- st_as_sf(traffic, coords = c("Longitude", "Latitude"), crs = 4326)
traffic <- fread("traffic.csv")
glimpse(traffic)
traffic <- st_as_sf(traffic, coords = c("Longitude", "Latitude"), crs = 4326)
traffic <- fread("traffic.csv")
traffic <- fread("traffic-old.csv")
glimpse(traffic)
traffic <- st_as_sf(traffic, coords = c("Longitude", "Latitude"), crs = 4326)
data.table(traffic)
write.csv(traffic, "traffic.csv")
alternative-fuel <- fread("alternativefuel.csv")
alternativefuel <- fread("alternativefuel.csv")
alternativefuel <- fread("alternativefuel.csv")
glimpse(alternativefuel)
alternative-fuel <- st_as_sf(alternative_fuel, coords = c("Longitude", "Latitude"), crs=4326)
alternativefuel <- st_as_sf(alternative_fuel, coords = c("Longitude", "Latitude"), crs=4326)
alternativefuel <- st_as_sf(alternativefuel, coords = c("Longitude", "Latitude"), crs=4326)
electric-vehicles <- alternativefuel %>%
select("ID", "Fuel Type Code", "Station Name", "Street Address", "Latitude", "Longitude", "Location") %>%
filter("Fuel Type Code" == "ELEC")
alternativefuel <- st_as_sf(alternativefuel, coords = c("Longitude", "Latitude"), crs=4326)
data.table(alternativefuel)
electric-vehicles <- alternativefuel %>%
select("ID", "Fuel Type Code", "Station Name", "Street Address", "Location", "geometry") %>%
filter("Fuel Type Code" == "ELEC")
electric_vehicles <- alternativefuel %>%
select("ID", "Fuel Type Code", "Station Name", "Street Address", "Location", "geometry") %>%
filter("Fuel Type Code" == "ELEC")
alternativefuel <- st_as_sf(alternativefuel, coords = c("Longitude", "Latitude"), crs=4326)
electric_vehicles <- alternativefuel %>%
select("ID", "Fuel Type Code", "Station Name", "Street Address", "Location", "geometry") %>%
filter("Fuel Type Code" == "ELEC")
data.table(electric_vehicles)
electric_vehicles <- alternativefuel %>%
select("ID", "Fuel Type Code", "Station Name", "Street Address", "Location", "geometry") %>%
filter("Fuel Type Code" == "ELEC")
electric_vehicles
alternativefuel <- st_as_sf(alternativefuel, coords = c("Longitude", "Latitude"), crs=4326)
data.table(alternativefuel)
electric_vehicles <- alternativefuel %>%
select("ID", "Fuel Type Code", "Station Name", "Street Address", "Location", "geometry") %>%
filter(Fuel Type Code == "ELEC")
electric_vehicles <- alternativefuel %>%
select("ID", "Fuel Type Code", "Station Name", "Street Address", "Location", "geometry") %>%
filter(`Fuel Type Code` == "ELEC")
electric_vehicles
electric_vehicles <- alternativefuel %>%
select("ID", "Fuel Type Code", "Station Name", "Street Address", "Location", "geometry") %>%
filter(`Fuel Type Code` == "ELEC") %>%
select(-c("FuelTypeCode"))
electric_vehicles <- alternativefuel %>%
select("ID", "Fuel Type Code", "Station Name", "Street Address", "Location", "geometry") %>%
filter(`Fuel Type Code` == "ELEC") %>%
select(-c("Fuel Type Code"))
data.table(electric_vehicles)
data.table(traffic)
electric_vehicles <- alternativefuel %>%
select(`ID`, `Fuel Type Code`, `Station Name`, `Street Address`, `Location`, `geometry`) %>%
filter(`Fuel Type Code` == "ELEC") %>%
mutate(`Street Address` = ifelse(ID == 196870, `3348 S Kedzie Ave`, `Street Address`)) %>%
select(-c("Fuel Type Code"))
electric_vehicles <- alternativefuel %>%
select(`ID`, `Fuel Type Code`, `Station Name`, `Street Address`, `Location`, `geometry`) %>%
filter(`Fuel Type Code` == "ELEC") %>%
mutate(`Street Address` = ifelse(`Station Name` == "Paul Simon Chicago JCC", "3348 S Kedzie Ave", `Street Address`)) %>%
select(-c("Fuel Type Code"))
data.table(electric_vehicles)
write.csv(electric_vehicles, "electric-vehicles.csv")