awesome-dlab

list of a topic-centric public data sources collected and tidied from blogs, answers, and user responses.

This repository contains an application written in Shiny and for use with any US state to assist in assessing the many different models available for understanding COVID-19 transmission and spread. It brings together several data sources that are publicly available, and can be supplemented with your own data to improve the assessment.

all official, book-published United States case law — every volume designated as an official report of decisions by a court within the United States.

The Washington Post published a significant portion of a database that tracks the path of every opioid pain pill, from manufacturer to pharmacy, in the United States between 2006 and 2012.

R package for turning one of the largest databases on ethnic newspapers and magazines (Ethnic NewsWatch) into a tidyverse-ready dataframe. The package takes 0.0005 seconds to turn 100 newspaper articles into a tidy dataframe.

R package for Turning Tweet JSON Files into a Tidyverse-ready Dataframe. The package takes 18 minutes to turn 1 million tweets into a dataframe.

more awesomeness related to this topic.

more awesomeness related to this topic.

Import, Export, and Convert Data Files including web-based import, reading compressed files directly without explicit decompression, and 'convert()' function for converting between file types.

more awesomeness related to this topic.

Demo of launching a binderhub notebook server with a free running Postgres server.

examples of different ways to match strings using PostgreSQL and extensions.

A completely embedded, full-featured relational database in a few 100k that you can include right into your project.

a CLI tool to convert CSV / Excel / HTML / JSON / and many other formats to a SQLite database file.

Simple, useful visual expalanation of joins in SQL.

more awesomeness related to this topic.

Comprehensive program that will help you learn to be an operations engineer.

To turn a Git repo into a collection of interactive notebooks. A great tool for teaching workshops.

A Tutorial of and Translation between Data Science Programming Languages

JSON Incremental Digger to drill down interactively by using filtering queries like jq.

jq is a lightweight and flexible command-line JSON processor.

With Miller, you get to use named fields without needing to count positional indices, using familiar formats such as CSV, TSV, JSON, and positionally-indexed.

Run SQL directly on CSV or TSV files.