https://github.com/nihonjinrxs/dwdc-june2014

Slides and materials from my talk for Data Wranglers DC on June 4, 2014
https://github.com/nihonjinrxs/dwdc-june2014

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Slides and materials from my talk for Data Wranglers DC on June 4, 2014

• Host: GitHub
• URL: https://github.com/nihonjinrxs/dwdc-june2014
• Owner: nihonjinrxs
• Created: 2014-06-01T02:13:19.000Z (over 10 years ago)
• Default Branch: master
• Last Pushed: 2014-06-04T19:12:33.000Z (over 10 years ago)
• Last Synced: 2023-03-11T11:42:51.375Z (almost 2 years ago)
• Language: CSS
• Homepage: http://nihonjinrxs.github.io/dwdc-june2014/
• Size: 7.22 MB
• Stars: 12
• Watchers: 4
• Forks: 4
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Data Wrangling in SQL & Other Tools

##### Scripting Reproducible and Understandable Data Wrangling and Analysis Pipelines with Tabular and Relational Data

This repository contains materials for [my talk at the Data Wranglers DC meetup on June 4, 2014](http://www.meetup.com/Data-Wranglers-DC/events/171768162/).

### Contents

The talk consists of several major directions:

- A slide deck (`./slides`) in Apple Keynote, [PDF](https://nihonjinrxs.github.io/dwdc-june2014/DWDC-June2014-RyanHarvey.pdf) and [HTML](https://nihonjinrxs.github.io/dwdc-june2014) formats

- Sample data in CSV format (`./csv`), courtesy of [tilling](https://github.com/tilling)

- A set of SQL scripts (`./sql`) that create the local PostgreSQL database used for the examples and perform the simple linear model analysis example

- An RMarkdown document (`./R`), [published on RPubs](http://rpubs.com/ryanbharvey/dwdc-june2014), that uses the data from the database to perform the analysis in R and compare with the SQL results

- An iPython notebook document (`./python`) that uses the data from the database to perform the example analysis, compare the results across SQL and R, and plot the resulting linear models

### Where do I start?

I recommend that anyone wishing to understand what I've done should tackle these pieces in order, starting with the slide deck.

### Future Work

Given time and maturity of database libraries, I hope to add a parallel example in Julia soon.

### Disclaimer

This work and the opinions expressed here are my own, and do not purport to represent the views of my current or former employers.