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Start your free trialJames Calby
15,202 PointsSQL In layman Terms
I understand that I'm getting the average price of items in each category. But I'm confused as to what the mean in layman term.
SELECT itemCategoryName, AVG(retailPrice) AS averagePrice
FROM item
JOIN itemCategory ON item.itemCategoryId = itemCategory.itemCategoryId
GROUP BY item.itemCategoryId;
And this Getting the 3 categories with the highest average price of items released after 2015-07-01
SELECT itemCategoryName, AVG(retailPrice) as averagePrice
FROM item
JOIN itemCategory ON item.itemCategoryId = itemCategory.itemCategoryId
WHERE releaseDate > '2015-07-01'
GROUP BY item.itemCategoryId
ORDER BY averagePrice DESC
LIMIT 3;
Any help would be appreciated. Thank you!!
James Calby
15,202 PointsThank You Steven,
I'm asking what each line of code means. So if you had to comment each line out and explain what the line of code is doing. I can hake the answers together to make it work. But I doing really know what it means. (If you as me to explain what its doing id probably confuse both you and me)
1 Answer
Elad Ohana
24,456 PointsHere are the line by line comments that I wrote trying to explain this stuff, it's a little verbose, but hopefully readable:
SELECT itemCategoryName, AVG(retailPrice) AS averagePrice -- Queries the itemCategoryName column, and averages the prices from retailPrice (this will be relevant when you use GROUP BY)
FROM item -- pulls data from the item table
JOIN itemCategory ON item.itemCategoryId = itemCategory.itemCategoryId -- Joins the item table and itemCategory table and compares the itemCategoryId columns from both tables. The item table refers to the itemCategory table in order to pull the data that corresponds to the itemCategoryId column
GROUP BY item.itemCategoryId; -- Groups the rows by the itemCategoryId, ex., all items from the same category will be grouped in one row, this means that you are using the average from items in the same category, and comparing to the average of other categories
Here is the second one:
SELECT itemCategoryName, AVG(retailPrice) as averagePrice -- see above
FROM item -- see above
JOIN itemCategory ON item.itemCategoryId = itemCategory.itemCategoryId -- see above
WHERE releaseDate > '2015-07-01' -- only display results that have a date after July 1, 2015
GROUP BY item.itemCategoryId -- same as above
ORDER BY averagePrice DESC -- sort by descending order of the average price
LIMIT 3; -- only show the top 3 results
Hope this is helpful.
Steven Parker
231,271 PointsSteven Parker
231,271 PointsI'm not sure what your asking. Your queries look good, and I would think "average price of items in each category" and "the 3 categories with the highest average price of items released after 2015-07-01" are both "layman's terms" that describe your queries.
Can you rephrase the question?