CSVs sliced, diced & analyzed.

This repository includes the data wrangling about the Global Inequality dataviz project using vanilla js and the library arquero.js

R for Reproducible Scientific Analysis

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

Prepping tables for machine learning

Zui is a powerful desktop application for exploring and working with data. The official front-end to the Zed lake.

Programming with R

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.

This repository is created as part of the Data Science Coursework Birzeit university

An trend analysis of the ground temperature of world cities

Is the Temperature of World Cities Increasing? A trend analysis using tableau.

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.

Predicting Rocket Launch Success

Using Data Wrangling Techniques to Identify which types of unclaimed properties are more important for financial institutions to focus on -- Data Wrangling Project focused on Data Cleaning, Extraction, Transformation and Reporting

The data comes from the FBI's National Instant Criminal Background Check System. The NICS is used by to determine whether a prospective buyer is eligible to buy firearms or explosives.

Multithreaded package for working with tabular data in Julia

Omnipy is a high level Python library for type-driven data wrangling and scalable workflow orchestration (under development)

Materi praktik analisis data dengan SQL.

Basics of manipulating, pre-processing, cleaning, and wrangling data in Python