This code explains how to create and customize bar charts using matplotlib library.

Unix terminal histograms and bar charts (hissyfit). Small data/file munge, morph, find and count scripts/functions in various languages, mostly bash and perl. For apparix see the apparix repository that is a sibling to this one.

This repository contains R programs that generate various types of charts and plots, commonly used for data visualization. The visualizations include:

📊 Data visualization library for React. Maintained by @goodcodeus.

Simplify time-consuming coding for the data scientist. Create beautiful charts, pandas transformers, and find the best model with the best parameters for your data.

This project applies lessons using Matplotlib and Numpy

This project demonstrates the use of MS Excel for data cleansing & formatting to prepare for data analysis and visualization.

FusionCharts JavaScript Charting library. Over 95+ charts and 1,400+ maps to choose from, with integrations available for all popular JavaScript frameworks & back-end programming languages.

F20DV Lab 3 - Interactions

Personalized graphs featuring customizable options for React Native app 📈

Evaluating player distances to the returner at moment of punt receive

This repository demos the different plots with SAS.

Analogue bar charts using terminal box-drawing characters

Predictive Data Mining for Health Insurance data

This is an Android app that takes the data about student groups and shows bar charts depicting the student data distribution.

Pharmaceutical company data visualization

Using matplotlib bar charts to analyze (hypothetical) mushroom data.

DataViz in Python

This code explains how to create and customize bar charts using matplotlib library.

Interactive geovisualizations of NY cancer data using Plotly