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Course Notes: Exploratory Data Analysis in SQL
Course Notes
Use this workspace to take notes, store sample queries, and build your own interactive cheat sheet!
You will need to connect your SQL cells to an integration to run a query.
- You can use a sample integration from the dropdown menu. This includes the Course Databases integration, which contains tables you used in our SQL courses.
- You can connect your own integration by following the instructions provided here.
Note: When using sample integrations such as those that contain course data, you have read-only access. You can run queries, but cannot make any changes such as adding, deleting, or modifying the data (e.g., creating tables, views, etc.).
Take Notes
Add notes here about the concepts you've learned and SQL cells with code you want to keep.
Add your notes here
DataFrameas
df
variable
-- A sample query for you to replace!
SELECT
*
FROM booksDataFrameas
df1
variable
-- Select name of the day of the week the request was created
SELECT to_char(date_created, 'day') AS day,
-- Select avg time between request creation and completion
AVG(date_completed - date_created) AS duration
FROM evanston311
-- Group by the name of the day of the week and
-- integer value of day of week the request was created
GROUP BY day, EXTRACT(DOW FROM date_created)
-- Order by integer value of the day of the week
-- the request was created
ORDER BY EXTRACT(DOW FROM date_created);