- [Instructor] In the previous video,…I created a coefficient for use in forecasting…educational attainment by age and gender.…In this video, I'll apply that coefficient…to the forecasted populations as found in the dataset…for California Populations from 2010 to 2060.…The SQL for this solution…is found in the chapter six exercise files.…We can create a new tab and open those files.…Go navigate to that exercise files chapter six.…
We want create demand for 2015 plus.sql.…Now, again this is pretty standard SQL…except for this case statement in line five.…Let's take a look at what that's doing.…If we look at the educational attainment data,…the ages are stored as ranges 00 to 17,…18 to 64, 65 to 80 plus.…
However, if we look at the population data,…this dataset stores ages as integers…17, 18, 19, 20, 21.…This case statement starting in line five…allows us to join between those two datasets…based on a lookup value.…Here's how it works.…Here's the join statement that's in line four…so we're joining demographicSplit ON DRU.Gender and…
Author
Released
10/13/2017- Strengths and weaknesses of SQLite
- Creating a database
- Joining data sets
- Calculations with SQLite and Python
- Searching a database
- Subqueries and queries in SQLite
- CRUD operations in SQLite with R
Skill Level Intermediate
Duration
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Database Clinic: MySQL
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Introduction
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Welcome1m 16s
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The Database Clinic series1m 22s
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1. SQLite in Five Minutes
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A brief overview of SQLite2m 41s
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Strengths of SQLite1m 33s
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Weaknesses of SQLite1m 36s
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2. Create a Database
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Database creation2m 33s
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Overview of solution1m 46s
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3. Join Two Datasets
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Join datasets2m 50s
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Overview of solution3m 33s
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Code review for R6m 45s
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4. Search a Database
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Search a database1m 51s
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Overview of solution1m 19s
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5. Create, Read, Update, and Delete Operations
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CRUD operations2m 31s
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Overview of solution1m 34s
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6. Averages and Calculations
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Calculations1m 59s
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Overview of solution3m 51s
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Create a forecast4m 57s
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Insights on this problem2m 4s
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Conclusion
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Next steps59s
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Video: Create a forecast