Query Data in Google Sheets with SQL
Nobody has claimed this yet.
Assessment
- Difficulty
- 1/5
- Estimated time
- 1-3 hours
- Newbie friendliness
- 45/100
- Issue type
- Documentation
- Clarity
- Clearly specified
- Activity status
- Stale
- Tech stack
- sql
- Domain
- content, documentation
Research direction
No repository files or tests are mentioned. Start with the linked SQL in Google Sheets video and the provided dataset, then follow the queries through GROUP BY and aggregation. Done means completing the work in your own Google Sheet and submitting a readable shared link on your copy of the ticket.
Written by the indexing model from the issue text.
Description
Link to the coursework
https://www.youtube.com/watch?v=dTNamL30sDg
Why are we doing this?
To learn how to use Google Sheets to store and query data is very useful. SQL is a powerful tool you will regularly come across when working with databases, either as a programmer or in many other data roles.
Watch the video SQL in Google Sheets. Copy the dataset provided in the video and code along with the queries as you go.
Do up to the step GROUP BY clause and aggregation.
We can skip PIVOT, LIMIT and OFFSET for now. You won't need these for the next piece of coursework, but look at them if you're not short on time.
Acceptance criteria
- I have watched the SQL in Google Sheets video and followed along with the instructions in my own Google Sheet.
Maximum time in hours
2
How to get help
Share your blockers in ITP Slack.
How to submit
- Combine both of these sheets into one. You can create a new sheet for each piece of work.
- Share a link to your Google Sheet on your own copy of this ticket. Make sure to give read access to your sheet, you can do this by clicking the "Share" button, then change "Restricted" to "Anyone with the link".
- Dominant language
- JavaScript
- Stars
- 3
- Forks
- 546
- Avg merge
- 9h 40m
- Merged PRs (30d)
- 2
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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