505 Open source projects that are alternatives of or similar to datar

Short programming tutorials pertaining to data analysis.

List of resources for learning R

Create reusable dplyr::case_when() functions

A package for manipulating EEG data in R.

Valise pédagogique pour la formation à R

Draw heatmap simply using a tidy data frame

Exercise solutions to "R for Data Science"

Simple Smart Pipe: python productivity-tool for rapid data manipulation

Query R data frames with SQL

Advanced-data-wrangling-in-R, Workshop

A toolkit for working with time series in R

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

Tidylog provides feedback about dplyr and tidyr operations. It provides wrapper functions for the most common functions, such as filter, mutate, select, and group_by, and provides detailed output for joins.

Tidy up your data with JavaScript, inspired by dplyr and the tidyverse

SQL backend to dplyr for Impala

Content from the University of British Columbia's Master of Data Science course DSCI 511.

🗜🔢 Tools for Working with Tibbles

Bringing financial analysis to the tidyverse

CSSS508: Introduction to R for Social Scientists

Python library for using dplyr like syntax with pandas and SQL

Magic potions to clean and transform your data 🧙

tidy processing of biological sequences in R

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

A visual data pipeline builder with various backends

An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R

web scraping tool for grailed.com

Clean APIs for data cleaning. Python implementation of R package Janitor

SADDLE: Scala Data Library

A guide to getting started with Data Science and ML.

A Python library for machine-learning and feedback loops on streaming data

DatScan is an initiative to build an open-source CMS that will have the capability to solve any problem using data Analysis just with the help of various modules and a vast standardized module library

This repository contains the code that extracts a table from an image and exports it to an Excel.

D-Lab's 3 hour introduction to data visualization with Python. Learn how to create histograms, bar plots, box plots, scatter plots, compound figures, and more, using matplotlib and seaborn.

Learning materials to get started with Python using Pandas, a library to manipulate Data.

Flexible tables with ordered indices

Connectors available to retrieve data in Toucan Toco small apps

Track Animation is a Python 2 and 3 library that provides an easy and user-adjustable way of creating visualizations from GPS data.

Engezny is a python package that quickly generates all possible charts from your dataframe and saves them for you, and engezny is only supporting now uni-parameter visualization using the pie, bar and barh visualizations.

인프런 - 단 두 장의 문서로 데이터 분석과 시각화 뽀개기

API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation

Data ETL & Analysis on the global and Mexican datasets of the COVID-19 pandemic.

Website dedicated to all things R and Databases

📺(tv) Tidy Viewer is a cross-platform CLI csv pretty printer that uses column styling to maximize viewer enjoyment.

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

data wrangling simplicity, complete audit transparency, and at speed

do more with dbt. fal helps you run Python alongside dbt, so you can send Slack alerts, detect anomalies and build machine learning models.

Machine Learning for Spot Prices

Treasure Data Driver for Python

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

In-memory Graph Database and Knowledge Graph with Natural Language Interface, compatible with Pandas

📊 Collection of #TidyTuesday Visualisations! 📈

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

Simple stock price analytics

This library was developed for economic analysis in the Brazilian scenario (Investments, micro and macroeconomic indicators)

Reading and writing pandas DataFrames in Elasticsearch

Example notebooks illustrating MovingPandas use cases

2.5k code solutions with clear explanation @ onelinerhub.com

도서 "[개정판] 파이썬 라이브러리를 활용한 머신 러닝"의 주피터 노트북과 코드입니다.

Tools that make working with scikit-learn and pandas easier.

A Los Angeles Times analysis of Every shot in Kobe Bryant's NBA career