Requesting data from Yelp API
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Updated
Jul 24, 2023 - Jupyter Notebook
Requesting data from Yelp API
Examples of spatial visualization made with folium in Python
Interactive map of Dubai using Folium for visualizing metro lines, neighborhoods, and development projects.
A map with a group of airports and some of their features like code, location, geolocation, city, and country. In this map is used Djikstra to found short paths between different airports. These airports are grouped in a graph whose edges are some flights between them recorded in the "flights_final". The clean version is the one used.
Predicting if SpaceX Falcon 9 first stage landing will be successful using Datascience
Python program that parses a CSV file to display geolocation data on a map
This repository contains a comprehensive analysis of Bangladesh's economic indicators, focusing on its rapid growth and the significance of its financial sector.
I have created visualizations that analyze crime in the city of Baltimore from a public dataset.
This Python script is designed to analyze public transportation data for Mexico City.
This project focuses on analyzing earthquake data using Python, Streamlit, and Folium. It provides interactive visualizations to explore earthquake occurrences worldwide, by country, and over time.
Track mobile number location using Python
Análise exploratória dos dados do COVID-19 / de 22 de Janeiro de 2020 a 27 de Julho de 2020 em 188 países análise feita com as ferramentas como: jupyter Notebook, Google Colab, Excel, Power BI e bibliotecas: Pandas, Matplotlib, Numpy.
Exploratory Data Analysis using Python on supermarket sales dataset
US volcanoes location and world population interactive map
This repository features projects centered around geospatial data analysis, leveraging Geopandas and Folium for implementation.
This concise description denotes the purpose of the project: to provide a formal analysis of food access challenges for strategic decision-making.
Plotting Weather Data Python - Case Study from Python Course
Script to create a population-colored map of the provinces in Turkey using Python and the folium and pandas libraries
To identify commercial centre of any city, clustering of Point of Interest(POI) of the city data with the correct amenities of interest is needed. This web app provides the Commercial centre of the city using Machine Learning.
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