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This project is a web data visualization using Python, HTML, and Bootstrap. It uses a web interface to show weather data correlation plots, tables and insights.

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JaviSandoval94/Web-Design-Challenge

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Introduction

Web interfaces are often great ways to comunicate with data, being ubiquous, visual and interactive means. This projects is my first web data visualization and aims to offer insights related to the weather of a location depending on its latitude and longitude. To show these visualizations (made with Python) a simple website was created using HTML and Bootstrap. The final project is deployed online using GitHub pages in this link.
weather-visualization

Data set

The data set for this project comes from the analysis performed in the first part of my python-api-challenge repository. Results from than repository were exported as a .csvfile and saved in the cities.csv file in the Resources folder of this repository.

Code explanation

The visualizations for this project were elaborated using Matplotlib and saved as .png images in the visualizations folder of this repository. In addition, a table was prepared in HTML format using the provided data. The code to prepare this table can be found in the Data-Table-HTML-Export.ipynb file in the Resources folder and the final table is saved as HTML-cities-table.html in the WebVisualizations folder.

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This project is a web data visualization using Python, HTML, and Bootstrap. It uses a web interface to show weather data correlation plots, tables and insights.

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