73 Open Source Data Wrangling Software Projects

OpenRefine is a free, open source power tool for working with messy data and improving it

A Python toolbox for gaining geometric insights into high-dimensional data

:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

The JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ.

Carefully curated resource links for data science in one place

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

Microsoft Program Synthesis using Examples SDK is a framework of technologies for the automatic generation of programs from input-output examples. This repo includes samples and sample data for the Microsoft Program Synthesis using Example SDK.

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

Like Awk but with SQL and table joins

Data Cleaning Libraries with Python

Tools for test driven data-wrangling and data validation.

Data Analysis and Visualization in R for Ecologists

Web scrapping and related analytics using Python tools

JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ.

Data transformation and utility functions for R

Pacote que trata e organiza os dados do Cadastro Nacional da Pessoa Jurídica (CNPJ)

R for Reproducible Scientific Analysis

Programming with R

Data Analysis and Visualization in Python for Ecologists

Plotting and Programming in Python

Exploratory data analysis 📊using python 🐍of used car 🚘 database taken from ⓚ𝖆𝖌𝖌𝖑𝖊

Introduction to Geospatial Raster and Vector Data with R

Main repository for R programming courses @ University of Cincinnati, courses and tutorials that focus on data wrangling, exploration, visualization, and analysis with R.

Automatic transformation of untidy spreadsheet-like data into tidy form

R for Social Scientists

Data wrangling & visualization quizzes for R users

Databases and SQL

DTCleaner: data cleaning using multi-target decision trees.

Simplify your ETL processes with these hands-on data sanitation tips, tricks, and best practices

A New, Interactive Approach to Learning Data Visualization

Data Wrangling and Processing for Genomics

Data Management with SQL for Ecologists

Kai Sheng Teh - Udacity Data Analyst Nanodegree

A Pandas-inspired data wrangling toolkit in JavaScript

Project work for the Udacity Data Analyst Nanodegree

Data-ish exploration through SQL+Uncertainty

Introduction to R for Geospatial Data

Free online R courses

Execute OpenRefine JSON scripts without OpenRefine (or Java)

Foofah: programming-by-example data transformation program synthesizer

A 60 days+ streak of daily learning of ML/DL/Maths concepts through projects

⌚️ A faster unique() function

Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.

Repository for the projects needed to complete the Data Analyst Nanodegree.

R package for working with semi-structured qualitative GIS data

This repo consists of the projects that I completed as a part of the Udacity's Data Analyst Nanodegree's curriculum.

Economics Lesson with Stata

Data Wrangling using Pandas

Data Analysis and Visualization with Python for Social Scientists

A python package built for data scientist/analysts, AI/ML engineers for exploring features of a dataset in minimal number of lines of code for quick analysis before data wrangling and feature extraction.

Code examples for Chapter 2 of Data Wrangling with JavaScript

When you need those jobs hypersonic 🚀 scrape 🔪

Advanced-data-wrangling-in-R, Workshop

Prosto is a data processing toolkit radically changing how data is processed by heavily relying on functions and operations with functions - an alternative to map-reduce and join-groupby

Udacity nanodegree projects: DLND, DRLND, DAND

Select, put and delete data from JSON, TOML, YAML, XML and CSV files with a single tool. Supports conversion between formats and can be used as a Go package.

Materials for following along with Hands-On Data Analysis with Pandas.

Materials for following along with Hands-On Data Analysis with Pandas – Second Edition

D-Lab's 12 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualizations, use control flow structures, and more, using R in RStudio.

A 3-hour introductory workshop on pandas with notebooks and exercises for following along.

Springboard Program: Data Science Career Track - NLP

Repository of DataCamp's "Introduction to the Tidyverse" course.

Intro to R and RStudio for Genomics

Library Carpentry: SQL

Data Cleaning with Python

🚀🤖 Cognito - Simplifies AutoML Data Preprocessing.

Make quick and dirty data mining made easier in Sublime Text

data wrangling simplicity, complete audit transparency, and at speed

Code examples for Chapter 3 of Data Wrangling with JavaScript

COVID-19 integrated surveillance data provided by the Italian Institute of Health and processed via UnrollingAverages.jl to deconvolve the weekly moving averages.

CSVs sliced, diced & analyzed.

D-Lab's 6 hour introduction to data wrangling with R. Learn how to manipulate dataframes using the tidyverse in R.

Crystal library for Data Analysis, Wrangling, Munging