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This project analyzes weather data using the Open Weather API. Demonstrates use of numpy, citipy, json, performing an API call using specific API keys, transforming API responses into a dataframe, and creating visualizations of data collected from API.

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shargr2/OpenWeatherMap-API-Analysis-Project

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What's the Weather Like?

Background

In this project I attempted to show how the weather changes based on longitude and latitude.

WeatherPy

I created a Python script to visualize the weather of 500+ randomly generated cities across the world of varying distance from the equator. To accomplish this, I utilized the Python library (https://pypi.python.org/pypi/citipy), the OpenWeatherMap API (https://openweathermap.org/api), and a little common sense to create a representative model of weather across world cities.

I built a series of scatter plots to showcase the following relationships:

  • Temperature (F) vs. Latitude
  • Humidity (%) vs. Latitude
  • Cloudiness (%) vs. Latitude
  • Wind Speed (mph) vs. Latitude

About

This project analyzes weather data using the Open Weather API. Demonstrates use of numpy, citipy, json, performing an API call using specific API keys, transforming API responses into a dataframe, and creating visualizations of data collected from API.

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