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

A simple real-time Open Interest Visualizer for Indian Benchmark Indices and F&O Stocks inspired by Sensibull. The app shows Change in Open Interest and Total Open Interest data, for the selected underlying. The app is built with React, Material UI, D3 and Node.

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.

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.

Personalized graphs featuring customizable options for React Native app 📈

Evaluating player distances to the returner at moment of punt receive

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 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

A data visualization case study portraying plastic waste in the United States.

ds7290 (data visualization using web technologies) final project

Belly Button Biodiversity Interaction Dashboard

The PyBer Analysis repo contains an analysis of ridesharing and city data using Python, NumPy, Matplotlib, and SciPy by creating line charts, bar charts, scatter plots, bubble charts, pie charts, and box-and-whisker plots. Using Pandas DataFrames and groupby, pivot, and resample functions, the data has been analyzed to determine total rides, tot…