Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON

General Assembly's 2015 Data Science course in Washington, DC

Jupyter notebook and datasets from the pandas Q&A video series

Find label errors in datasets, weak supervision, and learning with noisy labels.

🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark

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

Professional data validation for the R environment

🗣️ A book and repo to get you started programming voice computing applications in Python (10 chapters and 200+ scripts).

An R package for data screening

Cluster and merge similar char values: an R implementation of Open Refine clustering algorithms

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

Easy to use Python library of customized functions for cleaning and analyzing data.

🚕 A spreadsheet-like data preparation web app that works over Optimus (pandas, dask, cuDF, dask-cuDF and PySpark)

A Machine Learning System for Data Enrichment.

Fast and Easy Data Cleaning (in R)

🤖 A machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers).

Cleans Reddit Text Data 📜 🧹

taxonomic classes for R

Grateful Data isn't programming code, but an online tutorial about data acquisition, cleaning and enriching, using publicly accessible data on the band the Grateful Dead as examples. Read the Wiki to find out how to use the sample data.

DTCleaner: data cleaning using multi-target decision trees.

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

A simple command line interface to the datamade/dedupe library.

A full data warehouse infrastructure with ETL pipelines running inside docker on Apache Airflow for data orchestration, AWS Redshift for cloud data warehouse and Metabase to serve the needs of data visualizations such as analytical dashboards.

Clean species occurrence records