https://www.khanacademy.org/computing/in-class-12-computer-science/x3c7f521fe0287d63:structured-query-language-sql/x3c7f521fe0287d63:group-by-clause-in-sql/a/sql-grouping-select-results-with-group-by 2021-04-29T07:52:53Z SQL: Grouping SELECT results with GROUP BY article https://www.khanacademy.org/computing/grade-12-computer-science-pakistan-national-curriculum/xe6abb35ba84cb5c0:programming-fundamentals/xe6abb35ba84cb5c0:group-by-in-sql/a/sql-using-having-with-group-by 2021-04-29T07:54:59Z SQL: Using HAVING with GROUP BY article https://www.khanacademy.org/computing/computer-programming/sql/more-advanced-sql-queries/pc/challenge-the-wordiest-author 2022-09-10T01:34:41.474092194Z Challenge: The wordiest author challenge https://www.khanacademy.org/computing/computer-programming/sql/more-advanced-sql-queries/pt/restricting-grouped-results-with-having 2022-09-10T01:34:41.474092194Z Restricting grouped results with HAVING talkthrough https://www.khanacademy.org/computing/computer-programming/sql/more-advanced-sql-queries/pp/project-data-dig 2022-09-10T01:34:41.474092194Z Project: Data dig <p>We’ve curated a set of interesting data sets for you: <a href="https://gist.github.com/pamelafox/b98e03caca7d1ec14394a90ec1512cff">NASA astronauts</a>, <a href="https://gist.github.com/pamelafox/3d8ab901def3577a8bfc881f6255d3f6">Superbowl results</a>, <a href="https://gist.github.com/pamelafox/26b9357c6120d3d0d27c2b90c950e8c6">Pokemon stats</a>, <a href="https://gist.github.com/pamelafox/6cda1115e2bcbc43e62cf4ff9d4158c7">NBA players</a>, <a href="https://gist.github.com/pamelafox/c705b02114ea3db0dff0">Top movies</a>, <a href="https://gist.github.com/pamelafox/ad4f6abbaac0a48aa781">Top countries by population</a>, <a href="https://gist.github.com/pamelafox/30acd9ca938c8a62fb92">Solar system objects by size</a>, <a href="https://gist.github.com/pamelafox/585364b62390ea720858">Marvel characters</a>, <a href="https://gist.github.com/pamelafox/791ce9e4eb31abce2362">Furniture store sales</a>, <a href="https://gist.github.com/pamelafox/fac85fdac119cb98266b">Earned KA badges</a>, <a href="https://gist.github.com/pamelafox/b90d715f2bd7984b372a">Winston's donut logs</a>, <a href="https://gist.github.com/pamelafox/1ddbcb55f9ba1f6ec435">Card game results</a>, and <a href="https://gist.github.com/pamelafox/3360f582f3309dd4c25b">NFL draft picks</a>. </p> <p>Pick one of those data sets or create a data set like that, and use advanced <code>SELECT</code> queries to discover things about the data. What sort of questions might one have about that data, like if they were using it for an app or a business idea? Here are some ideas:</p> <ul class="styled-list"> <li>What are average, max, and min values in the data?</li> <li>What about those numbers per category in the data (using HAVING)?</li> <li>What ways are there to group the data values that don’t exist yet (using CASE)?</li> <li>What interesting ways are there to filter the data (using AND/OR)?</li> </ul> project