Скачать или смотреть Creating a Data Visualization Dashboard with Python, Django, BootStrap & chart.js

Welcome to our latest tutorial! In this video, we will walk you through the process of creating a powerful data visualization dashboard using Python, Flask, and D3.js for interactive charts and visuals. This is a test assignment where we'll showcase how to transform raw data from a JSON file into meaningful insights.


📊 Key Objectives:

Build a database using sqlLite from the provided JSON data.

Designed and developed the dashboard's back-end using Django.

Implemented the front-end using JavaScript and Bootstrap.

Create visually stunning charts and graphs using chart.js library.

Charts for
Visualize critical variables such as Intensity, Likelihood, Relevance, Year, Country, Topics, Region, and City.

Implement a range of filters for data exploration, including end-year filter, topics filter, sector filter, region filter, PEST filter, source filter, country filter and relevance filter controls from the dataset.
🌐 GitHub Repository: [Link to the code and resources]

#Python #DataVisualization #Django #chartjs #DashboardDevelopment #Tutorial

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