gvwilson/tidyblocks

Welcome to the Tidyverse

Wickham et al., (2019). Welcome to the Tidyverse. Journal of Open Source Software, 4(43), 1686, https://doi.org/10.21105/joss.01686

elbersb/tidylog

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.

Mosaic

Scalable, interactive data visualization

datasetpapers — a public research experiment

An experimental approach to versioned, forkable, machine-readable analyses. A prototype, not a product or service.

datasetpapers — a public research experiment

An experimental approach to versioned, forkable, machine-readable analyses. A prototype, not a product or service.

Keeping your analysis correct: mycelium and scilintr

Coding agents have made data analysis far easier to produce. The hard part now is verifying what comes out. Here’s the scaffolding I built to help.

Coding Club: a positive peer-learning community

Free and accessible tutorials on data analysis, manipulation, visualisation and more.

Teaching Data Science by Visualizing Data Table Transformations: Pandas Tutor for Python, Tidy Data Tutor for R, and SQL Tutor

As part of the Digital Library's transition to Open Access, new features for researchers are available in the Premium Edition. Click here to learn more.

Varv: Reprogrammable Interactive Software as a Declarative Data Structure

This summary was generated using automated tools and was not authored or reviewed by the article's author(s). It is provided to support discovery, help readers assess relevance, and assist readers from adjacent research areas in understanding the work. It is intended to complement the author-supplied abstract, which remains the primary summary of the paper. The full article remains the authoritative version of record. Click here to learn more.

Track your Data Pipelines

Track and document dplyr data pipelines. As you filter, mutate, and join your way through a data set, dtrackr seamlessly keeps track of your data flow and makes publication ready documentation of a data pipeline simple.

patcon/valency-anndata

Experimental tooling to support notebook analysis of polislike data.

Block Protocol – Specification

An open standard for data-driven blocks

GitHub - observablehq/plot: A concise API for exploratory data visualization implementing a layered grammar of graphics

A concise API for exploratory data visualization implementing a layered grammar of graphics - observablehq/plot

Scrappy – Make little apps for you and your friends | Hacker News

Decker[2] (which is also open-source) has answers to several of the things outlined on Scrappy’s roadmap, including facilities for representing and manipulating tabular data with its query language and grid widgets and the ability for users to abstract collections of parts into reusable "Contraptions".

Dremel: interactive analysis of web-scale datasets: Proceedings of the VLDB Endowment: Vol 3, No 1-2

Dremel is a scalable, interactive ad-hoc query system for analysis of read-only nested data. By combining multi-level execution trees and columnar data layout, it is capable of running aggregation queries over trillion-row tables in seconds. The system ...