This project analyzes top vacation cities based on weather data from Open Weather's API and is visualized using Google Map's API.

Using multiple API sources, create an app that allows users to filter through random locations based on their temperature range choices.

Retrieve weather data using APIs, clean data with pandas, plot data onto a google map, and create a travel itinerary for users.

Analyze & visualize weather data. Generate destinations and travel maps using Google Maps Platform APIs.

This Project analyzes top vacation cities based on weather data from Open Weather's API and is visualized using Google Map's API

Create an app that gives users an itinerary based on their weather preferences.

Very first website ever created using images from Dkreitzer/Random_500-City_Weather_Analysis

Created a vacation itinerary across four different cities in the same country based on weather conditions. The itinerary was visualized as a map. Pins and markers were added with basic details for each city.

A Python script to visualize data points of the weather for 500+ cities across the world of varying distance from the equator.

🌦 Create a Python script to visualize the weather of over 500 cities of varying distances from the equator, and use the data skills to plan future vacations

I created a Python script to visualize the weather of 500+ cities across the world of varying distance from the equator. Then, I used Jupyter notebook, Google Maps, and Google Places API, and created a heat map of humidity. Finally, I created my ideal weather condition on the map, used Google Places API to find the hotel information for each city.

The World Weather Analysis repo utilizes Python and Jupyter Notebook in conjunction with decision and repetition statements, data structures, Pandas, Matplotlib, NumPy, CitiPy, and SciPy statistics to retrieve and use data from OpenWeatherMap and Google Map API. The APIs are used to "get" requests from a server, retrieve and store values from a …

Study on the relationship between geolocation and weather condition, using OpenWeatherMap API

A case study using python to collect data from an API request then employing the data to make recommendations based on user input.

Google Maps and OpenWeather APIs used with random geographical points generated; importing into Python and Javascript for transformation; using citypy to find closest towns; plotted on Map; planned round-trip driving route

Weather Analysis with Python and OpenWeatherMap

Plotted 4 weather variables to understand what the climate is like around the world.

Utilizing various Python scripts and libraries to visualize the weather in over 500 world cities and displaying the results on a heatmap, after which writing additional code to map hotels (within our given parameters) that would make for an ideal vacation.

Created a Python script to visualize the weather of 500+ cities across the world of varying distance from the equator by utilizing Python library - citipy, and the OpenWeatherMap API, to create a representative model of weather across world cities.