/Dashboard--CurrentWeather-Report

Dashboard with Visualization analysis of weather in 500+ cities at different latitudes relative to the equator line. The visualizations show temperature, humidity, cloudiness, wind speed.

Primary LanguageHTMLMIT LicenseMIT

Weather-Forecasting-Analysis-

Online Dashboard Website, that contains all the finds of Research.

https://piterbrito.github.io/Dashboard--CurrentWeather-Report/

Background

Whether financial, political, or social -- data's true power lies in its ability to answer questions definitively. So let's take what you've learned about Python requests, APIs, and JSON traversals to answer a fundamental question:

"What's the weather like as we approach the equator?"

Now, we know what you may be thinking: "Duh. It gets hotter..."

But, if pressed, how would you prove it?

Goal

Create a Python script to visualize the weather of 500+ cities across the world of varying distance from the equator. To accomplish this, you'll be utilizing a simple Python library, the OpenWeatherMap API, and a little common sense to create a representative model of weather across world cities.

Find the relaeted realationships:

Temperature (F) vs. Latitude

Humidity (%) vs. Latitude

Cloudiness (%) vs. Latitude

Wind Speed (mph) vs. Latitude

Findings

In progress