An object oriented map-based interface that uses Google Maps Places API and Gulp for task running.

Create a series of scatter plots to showcase the relationships between the location, and temperature, humidity, wind speed, and cloudiness for randomly selected 500+ cities in the world.

Analysis using Jupyter Notebook, CityPy, Pandas Dataframe, Matplotlibs, Jupyter GMaps, and Google APIs.

A usermap plugin for eqdkp-plus 2.3 and newer

Python requests, APIs, and JSON traversals exercise

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.

Web-Application created by Andres, Mitchell, Osama, and Parth for the UWindsor 2020 hackathon

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

Using Google Cloud API to highlight potential vacation destinations.

Data Analysis and visualization of tornado events 1996 - 2019

Streaming, Workers, Backend and Frontend setup

In this analysis we use algorithm to recommend tourist destination and itinerary using weather data from OpenWeatherMap API, and maps from Google API and GMaps.

Google map review scrabbler to .csv