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jd-foster merged 1 commit into from
Mar 18, 2026
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assorted typos #393

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2 changes: 1 addition & 1 deletion episodes/02-sql-aggregation.md
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Expand Up @@ -181,7 +181,7 @@ Aliasing table names can be helpful when working with queries that involve multi

## The `HAVING` keyword

In the previous episode, we have seen the keyword `WHERE`, allowing to
In the previous episode, we have seen the keyword `WHERE`, allowing us to
filter the results according to some criteria. SQL offers a mechanism to
filter the results based on **aggregate functions**, through the `HAVING` keyword.

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4 changes: 2 additions & 2 deletions episodes/03-sql-joins.md
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Expand Up @@ -24,7 +24,7 @@ To combine data from two tables we use an SQL `JOIN` clause, which comes after
the `FROM` clause.

Database tables are used to organize and group data by common characteristics or principles.
Often, we need to combine elements from separate tables into a single tables or queries for analysis and visualization.
Often, we need to combine elements from separate tables into a single table or queries for analysis and visualization.
A JOIN is a means for combining columns from multiple tables by using values common to each.

The JOIN keyword combined with ON is used to combine fields from separate tables.
Expand Down Expand Up @@ -443,7 +443,7 @@ Have a look at the following questions; these questions are written in plain Eng

1. How many plots from each type are there?

2. How many specimens are of each sex are there for each year, including those whose sex is unknown?
2. How many specimens of each sex are there for each year, including those whose sex is unknown?

3. How many specimens of each species were captured in each type of plot, excluding specimens of unknown species?

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