Minor edits during proofreading

This commit is contained in:
Anthony DeBarros 2021-09-26 08:49:53 -04:00
parent 0d72bde2b7
commit ff18e687e3
2 changed files with 10 additions and 8 deletions

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@ -5,7 +5,7 @@
-- Chapter 11 Code Examples -- Chapter 11 Code Examples
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-- Listing 11-1: Creating the census 2014-2018 ACS 5-Year Estimates stats table and importing data -- Listing 11-1: Creating a 2014-2018 ACS 5-Year Estimates table and importing 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,

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@ -606,16 +606,18 @@ WHERE pls16.fscskey IS NULL OR pls17.fscskey IS NULL;
-- Chapter 10: Inspecting and Modifying Data -- Chapter 10: Inspecting and Modifying Data
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-- In this exercise, youll turn the meat_poultry_egg_inspect table into useful -- In this exercise, youll turn the meat_poultry_egg_establishments table
-- information. You needed to answer two questions: How many of the companies -- into useful information. You need to answer two questions: How many
-- in the table process meat, and how many process poultry? -- of the companies in the table process meat, and how many process poultry?
-- Create two new columns called meat_processing and poultry_processing. Each -- Your tasks are as follows:
-- 1. Create two new columns called meat_processing and poultry_processing. Each
-- can be of the type boolean. -- can be of the type boolean.
-- Using UPDATE, set meat_processing = TRUE on any row where the activities -- 2. Using UPDATE, set meat_processing = TRUE on any row where the activities
-- column contains the text 'Meat Processing'. Do the same update on the -- column contains the text 'Meat Processing'. Do the same update on the
-- poultry_processing column, but this time lookup for the text -- poultry_processing column, but this time look for the text
-- 'Poultry Processing' in activities. -- 'Poultry Processing' in activities.
-- Use the data from the new, updated columns to count how many companies -- Use the data from the new, updated columns to count how many companies
@ -657,7 +659,7 @@ WHERE meat_processing = TRUE AND
poultry_processing = TRUE; poultry_processing = TRUE;
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-- Chapter 11: Creating Your First Database and Table -- Chapter 11: Statistical Functions in SQL
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-- 1. In Listing 11-2, the correlation coefficient, or r value, of the -- 1. In Listing 11-2, the correlation coefficient, or r value, of the