Summary

Examining Weather Trends

Plot of Latitude vs. Temperature

This project is the culimation of learning using API's to pull relevant information from OpenWeather and Google's API.

The project consists of two parts. The first uses OpenWeather's API to pull weather data from a large list of cities pulled from the Citipi API. In order to do so, a list of random latitude and longitude values are created and passed into the Citipi API. The nearest city is then matched with the latitude and longitude if possible. The raw data is converted into a pandas dataframe, from which data plots and analysis were performed. The most relevant plots are included.

The second part uses Google's API and the data from part one to create two heatmaps. The first heatmap uses humidity values as a weight to create a heatmap of the most humid locations with the given data. The second heatmap uses specific weather criteria to locate the best vacation spots. Using Google's API, a marker with hotel information was then placed on the map.

Visualizations

Plot of Latitude vs. Temperature
Plot of Latitude vs. Humidity
Plot of Latitude vs. Cloud Cover
Plot of Latitude vs. Wind Speed
A plot of temperature against latitude in the Northern hemisphere
A plot of temperature against latitude in the Southern hemisphere
A heat map using specified weather values to find the most comfortable places to vacation
Map using weather data and Google API to locate hotels in best vacation spots