Top 39 dplyr open source projects

Exercise solutions to "R for Data Science"

Run predictions inside the database

Chunkwise Text-file Processing for 'dplyr'

Draw heatmap simply using a tidy data frame

Query R data frames with SQL

💂 Tools to Transform and Query Data with 'Apache' 'Drill'

A friendly interface to tidyeval/rlang that will excuse itself when you're done.

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

🔧 Use dplyr to analyze Big Data 🐘

SQL Server DBI for R, based on the jTDS driver

tibble() dancing 💃

R interface for Apache Spark

Bringing financial analysis to the tidyverse

Python library for using dplyr like syntax with pandas and SQL

🤹‍♀ Animations of tidyverse verbs using R, the tidyverse, and gganimate

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

A dplyr backend that partitions a data frame over multiple processes

Data table backend for dplyr

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.

A toolkit for working with time series in R

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

Some extra functionality that is not (yet) in dplyr, e.g. mutate_rows or s_filter, s_arrange ,...

Relational Data from the Star Wars API for Learning and Teaching

List of resources for learning R

Valise pédagogique pour la formation à R

Create reusable dplyr::case_when() functions

A Teradata Backend for dplyr

Advanced-data-wrangling-in-R, Workshop

No description or website provided.

A Grammar of Data Manipulation in python

Short programming tutorials pertaining to data analysis.

Website dedicated to all things R and Databases

SQL backend to dplyr for Impala

Repository for dplyr tutorials I made

Magic potions to clean and transform your data 🧙

CSSS508: Introduction to R for Social Scientists

A package for manipulating EEG data in R.

Create columns by applying functions to vectors and/or columns in 'dplyr'.

This repository enumerates all the reasons why R is better than python for DS