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Commit3f2c20c

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‎README.md

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@@ -851,6 +851,7 @@ _If you like this project, please leave me a star._ ★
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| # | Title | Solutions | Video | Difficulty | Tag
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|-----|----------------|---------------|---------------|---------------|-------------
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|1327|[List the Products Ordered in a Period](https://leetcode.com/problems/list-the-products-ordered-in-a-period/)|[Solution](../master/database/_1327.sql)|| Easy|
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|1322|[Ads Performance](https://leetcode.com/problems/ads-performance/)|[Solution](../master/database/_1322.sql)|| Easy|
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|1294|[Weather Type in Each Country](https://leetcode.com/problems/weather-type-in-each-country/)|[Solution](../master/database/_1294.sql)|| Easy|
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|1280|[Students and Examinations](https://leetcode.com/problems/students-and-examinations/)|[Solution](../master/database/_1280.sql)|[:tv:](https://www.youtube.com/watch?v=ThbkV4Fs7iE)| Easy|
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|1251|[Average Selling Price](https://leetcode.com/problems/average-selling-price/)|[Solution](../master/database/_1251.sql)|| Easy|

‎database/_1322.sql

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--1322. Ads Performance
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--
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--Table: Ads
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--
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--+---------------+---------+
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--| Column Name | Type |
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--+---------------+---------+
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--| ad_id | int |
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--| user_id | int |
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--| action | enum |
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--+---------------+---------+
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--(ad_id, user_id) is the primary key for this table.
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--Each row of this table contains the ID of an Ad, the ID of a user and the action taken by this user regarding this Ad.
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--The action column is an ENUM type of ('Clicked', 'Viewed', 'Ignored').
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--
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--
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--A company is running Ads and wants to calculate the performance of each Ad.
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--
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--Performance of the Ad is measured using Click-Through Rate (CTR) where:
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--
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--
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--
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--Write an SQL query to find the ctr of each Ad.
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--
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--Round ctr to 2 decimal points. Order the result table by ctr in descending order and by ad_id in ascending order in case of a tie.
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--
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--The query result format is in the following example:
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--
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--Ads table:
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--+-------+---------+---------+
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--| ad_id | user_id | action |
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--+-------+---------+---------+
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--| 1 | 1 | Clicked |
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--| 2 | 2 | Clicked |
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--| 3 | 3 | Viewed |
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--| 5 | 5 | Ignored |
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--| 1 | 7 | Ignored |
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--| 2 | 7 | Viewed |
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--| 3 | 5 | Clicked |
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--| 1 | 4 | Viewed |
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--| 2 | 11 | Viewed |
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--| 1 | 2 | Clicked |
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--+-------+---------+---------+
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--Result table:
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--+-------+-------+
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--| ad_id | ctr |
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--+-------+-------+
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--| 1 | 66.67 |
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--| 3 | 50.00 |
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--| 2 | 33.33 |
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--| 5 | 0.00 |
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--+-------+-------+
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--for ad_id = 1, ctr = (2/(2+1)) * 100 = 66.67
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--for ad_id = 2, ctr = (1/(1+2)) * 100 = 33.33
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--for ad_id = 3, ctr = (1/(1+1)) * 100 = 50.00
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--for ad_id = 5, ctr = 0.00, Note that ad_id = 5 has no clicks or views.
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--Note that we don't care about Ignored Ads.
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--Result table is ordered by the ctr. in case of a tie we order them by ad_id
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--# Write your MySQL query statement below
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select ad_id,
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ifnull(
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round(
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avg(
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case
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when action="Clicked" then1
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when action="Viewed" then0
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elsenull
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end
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)*100,
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2),
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0)
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as ctr
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from Ads
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group by ad_id
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order by ctrdesc, ad_idasc;

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