Code and data for the NICAR 2015 Advanced SQL with PostgreSQL hands-on class.
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README.md
basic-math.sql
create-tables.sql
interview-clean.sql
ranks-rates.sql
stats-functions.sql

README.md

NICAR 2015: Advanced SQL with PostgreSQL

The code and data examples here were created for the 2015 National Institute for Computer Assisted Reporting conference held in Atlanta, Ga., and sponsored by Investigative Reporters and Editors.

Getting started

  • This hands-on class will use the pgAdmin client to edit and run queries on PostgreSQL. Depending on your operating system and how you installed PostgreSQL, pgAdmin may need to be installed separately.

  • In pgAdmin, load the create-tables.sql script and run it. (You may need to change the location of the data files in the three COPY statements.) When finished, you'll have three tables loaded with data:

    • counties: 2010 Census PL94 data.
    • meat_poultry_inspect: USDA data on plants that produce meat and poultry.
    • acs_2012_stats: Derived data from the 2012 American Community Survey.

Basic math

We'll start with math review before moving on.

  • Load the basic-math.sql script and work through each example.

Interview and clean data

This segment covers how to check your data for problems and how to clean it up safely.

  • Load the interview-create.sql script and work through the examples.

Creating ranks and rates

Journalists generally like to discover which X is (highest/most/smallest/least/etc.). Here's how to do that with SQL.

  • Load the ranks-rates.sql script to work the examples.

Statistical functions

PostgreSQL can't match the power of R, Pandas or even Excel for stats, but a few built-in functions can give you a quick read on your data.

  • For examples, load the stats-functions.sql script.