#Data-manipulation
Showing 38 of 38 repositories tagged #data-manipulation, ranked by stars
The Cyber Swiss Army Knife - a web app for encryption, encoding, compression and data analysis
Self-hosted collection of powerful web-based tools for everyday tasks. No ads, no tracking, just fast, accessible utilities right from your browser!
Danfo.js is an open source, JavaScript library providing high performance, intuitive, and easy to use data structures for manipulating and processing structured data.
The JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ.
Materials for following along with Hands-On Data Analysis with Pandas โ Second Edition
Advanced and Fast Data Transformation in R
Book on Julia for Data Science
Aplus Framework Database Library
An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
A Grammar of Data Manipulation in python
A grammar for data manipulation in Python
Graphical tool for data manipulation written in C++/Qt.
Capstone projects of the IBM Data Analyst Professional
Flexible tables with ordered indices
:books: a complete reference book for treeio, tidytree and ggtree packages
Scrape, analyze & visualize stock market data for the S&P500 using Python. Build a basic trading strategy using machine learning to assess company performance and determine buy, sell, hold. Read me & instructions available in Spanish. This is a working repo, with plans to expand the project from technical analysis to fundamental analysis.
Content from the University of British Columbia's Master of Data Science course DSCI 511.
:triangular_flag_on_post: A CLI tool & library to enhance and speed up script/exploit writing with string conversion/manipulation.
A schema-aware Scala library for data transformation
A collection of scripts written to complete DQLab Data Analyst Career Track ๐
A new general purpose compiled language featuring first-class data manipulation, and compile time execution with I/O.
IBM DATA ANALYST PROFESSIONAL CERTIFICATE
Lectures for Introduction to Data Science for Public Policy (PPOL 670-01)
A Software to interactively edit data in a graphical manner
Data manipulation and reporting for Scala.
A Pandas-inspired data wrangling toolkit in JavaScript
Beginner's introduction to the pandas library for data manipulation
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Stateful CSV editing MCP server for AI assistants โ sessions, undo/redo, auto-save, and 39 pandas-powered tools. Works with Claude, ChatGPT, Cursor, Windsurf, Claude Code, and any MCP-compatible client. Built on FastMCP 3
This repository contains projects I have worked on for Data Cleaning and Manipulation in Python.
Learn to analyze data with Python. Here you will learn, Import data sets, Clean and prepare data for analysis, Manipulate pandas DataFrame, Summarize data, Build machine learning models using scikit-learn, Build data pipelines.
Using R and machine learning to build a classifier that can detect credit card fraudulent transactions.
dataPipe is a data processing and data analytics library for JavaScript. Inspired by LINQ (C#) and Pandas (Python)
A targeted resource for mastering Pandas, featuring practice problems, code examples, and interview-focused data manipulation techniques in Python. Covers data cleaning, aggregation, and analysis to excel in data science and analytics interviews.
๐Your Data Quality Detector / Gain insight into your data and get it ready for use before you start working with it ๐ก๐๐ ๐
Common data manipulations in different languages and frameworks.
Data-Splitter is a Python script designed to split a large CSV file containing data into three different formats: JSON, a database table, and another CSV file. The script ensures a random distribution of data across the three output formats based on custom-defined ratios.