README.md

Data Visualisation Libraries

Don’t simply show data, tell a story with it!

Yes, we have data and we have insights, now what? Obviously, the next step would be to communicate these findings with people so that they can take the necessary actions. One of the most effective ways to communicate data is through storytelling. But to be effective storytellers, we need to simplify things and not complicate them so that the real essence of the analysis is not lost.

About this repository

This repository contains the files linked to the articles that I wrote on Medium regarding different Data Visualisation libraries.

Python

• PyViz: Simplifying the Data Visualisation process in Python.

• Visualising Machine Learning Datasets with Google’s FACETS.

• Exploratory Data Visualisation with Altair

• Visualising Geospatial data with Python using Folium

• Animations with Matplotlib

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R

• A Comprehensive Guide to Data Visualisation in R for Beginners

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Tableau

• Data Visualisation with Tableau
• Python with Tableau
• R with Tableau
• SQL with Tableau
• Spreadsheets with Tableau
• Word Clouds in Tableau: Quick & Easy
• Quadrant Analysis with Tableau
• Cluster Analysis with Tableau

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PowerBI

• Data Visualization with Power BI
• SQL with PowerBI

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Drag and Drop Visualisation tools

10 Free tools to get started with Data Visualisation-Easily & Instantly

• Data Wrapper
• RAWGraphs
• Charted
• Chart Studio
• Fastcharts
• Palladio
• Openheatmap
• MyHeatMap
• Chartbuilder
• Timeline.js