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Chapter 11 order of examples change

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anthonydb 2021-01-05 17:56:46 -05:00
parent 4061005324
commit 1a389ccd3f
1 changed files with 37 additions and 36 deletions
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73
Chapter_11/Chapter_11.sql
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@ -5,7 +5,7 @@
-- Chapter 11 Code Examples -- Chapter 11 Code Examples
---------------------------------------------------------------------------- ----------------------------------------------------------------------------
-- Listing 11-1: Create Census 2011-2015 ACS 5-Year stats table and import data -- Listing 11-1: Create Census 2014-2018 ACS 5-Year stats table and import data
CREATE TABLE acs_2014_2018_stats ( CREATE TABLE acs_2014_2018_stats (
geoid text CONSTRAINT geoid_key PRIMARY KEY, geoid text CONSTRAINT geoid_key PRIMARY KEY,
@ -126,7 +126,42 @@ SELECT
rank() OVER (PARTITION BY category ORDER BY unit_sales DESC) rank() OVER (PARTITION BY category ORDER BY unit_sales DESC)
FROM store_sales; FROM store_sales;
-- Listing 11-8: Creating a rolling average for export data -- Listing 11-8: Creating and filling a table for Census county business pattern data
CREATE TABLE cbp_naics_72_establishments (
state_fips text,
county_fips text,
county text NOT NULL,
st text NOT NULL,
naics_2017 text NOT NULL,
naics_2017_label text NOT NULL,
year smallint NOT NULL,
establishments integer NOT NULL,
CONSTRAINT cbp_fips_key PRIMARY KEY (state_fips, county_fips)
);
COPY cbp_naics_72_establishments
FROM 'C:\YourDirectory\cbp_naics_72_establishments.csv'
WITH (FORMAT CSV, HEADER);
SELECT * FROM cbp_naics_72_establishments LIMIT 5;
-- Listing 11-9: Finding business rates per thousand population in counties with 50,000 or more people
SELECT
cbp.county,
cbp.st,
cbp.establishments,
pop.pop_est_2018,
round( (cbp.establishments::numeric / pop.pop_est_2018) * 1000, 1 )
AS estabs_per_1000
FROM cbp_naics_72_establishments cbp LEFT JOIN us_counties_pop_est_2019 pop
ON cbp.state_fips = pop.state_fips
AND cbp.county_fips = pop.county_fips
WHERE pop.pop_est_2018 >= 50000
ORDER BY cbp.establishments::numeric / pop.pop_est_2018 DESC;
-- Listing 11-10: Creating a rolling average for export data
CREATE TABLE us_exports ( CREATE TABLE us_exports (
year smallint, year smallint,
@ -154,37 +189,3 @@ SELECT year, month, citrus_export_value,
FROM us_exports FROM us_exports
ORDER BY year, month; ORDER BY year, month;
-- Listing 11-9: Creating and filling a table for Census county business pattern data
CREATE TABLE cbp_naics_72_establishments (
state_fips text,
county_fips text,
county text NOT NULL,
st text NOT NULL,
naics_2017 text NOT NULL,
naics_2017_label text NOT NULL,
year smallint NOT NULL,
establishments integer NOT NULL,
CONSTRAINT cbp_fips_key PRIMARY KEY (state_fips, county_fips)
);
COPY cbp_naics_72_establishments
FROM 'C:\YourDirectory\cbp_naics_72_establishments.csv'
WITH (FORMAT CSV, HEADER);
SELECT * FROM cbp_naics_72_establishments LIMIT 5;
-- Listing 11-10: Finding business rates per thousand population in counties with 50,000 or more people
SELECT
cbp.county,
cbp.st,
cbp.establishments,
pop.pop_est_2018,
round( (cbp.establishments::numeric / pop.pop_est_2018) * 1000, 1 )
AS estabs_per_1000
FROM cbp_naics_72_establishments cbp LEFT JOIN us_counties_pop_est_2019 pop
ON cbp.state_fips = pop.state_fips
AND cbp.county_fips = pop.county_fips
WHERE pop.pop_est_2018 >= 50000
ORDER BY cbp.establishments::numeric / pop.pop_est_2018 DESC;