Analysis for Yelp Dataset Challenge
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Updated
Apr 28, 2020 - Jupyter Notebook
Analysis for Yelp Dataset Challenge
Analyzed 1966-2016 U.S. mass shooting data using Pandas, Matplotlib, and the Google nearby search and distance matrix APIs.
Analysis using Jupyter Notebook, CityPy, Pandas Dataframe, Matplotlibs, Jupyter GMaps, and Google APIs.
WeatherPy notebook to visualize the weather of 500+ cities across the world of varying distance from the equator. VacationPy notebook plans vacation based on results using jupyter-gmaps and the Google Places API.
Analysis of weather of cities around the world and find cities with ideal weather for a vacation and shows them on map including a hotel markup close to them.
Big Data Polygon Gmaps at the provincial (ADM1) level to village (AMD4) throughout Indonesia based on 2020 BPS data
This project is inspired by Google Maps, the popular web mapping service that offers satellite imagery, street maps, 360° panoramic views of streets, real-time traffic conditions, and route planning.
Data Analysis and visualization of tornado events 1996 - 2019
Lazy load Google Maps iframe. Without jQuery. And with placeholders for cookie consent!
Created a Python script to visualize the weather of 500+ cities across the world of varying distance from the equator. Utilized a Python library ant the OpenWeatherMap API.
Visualizing weather and Gmaps locations using a live API
Graph and analyze api weather data for 500 world cities, using pandas, matplotlib, and gmaps.
Using Jupyter Notebook, Pandas Library, CityPy, Python, APIs and JSON Traversals, to get more than 500 random latitudes and longitudes and analyze weather data
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