Query a Digital Music Store Database by Youssef MaherQuery a Digital Music Store Database by Youssef Maher

Query a Digital Music Store Database

Youssef Maher

Data Analyst

Data Engineer

Data Visualizer

Microsoft Excel

PostgreSQL

Table of Contents

Project Details

Queries and Visuals

Query #1

Query #2

Query #3

Query #4

Project Details

This project is mainly about querying a music store an then use the output of the queries and transform it into a CSV file and take that sheet into excel to get some visually appealing results from some very basic charts yet very meaningful.

So much important concepts from SQL where used in the project.

I used PostgreSQL and used the Entity Relationship Diagram (ERD) of the database to complete the project.

Entity Relationship Diagram (ERD) of the database

Queries and Visuals

Query #1

SELECT Track.Name AS Track_Name,

       Genre.Name AS Genre_Name,

       Milliseconds/60000 AS Minutes

FROM Track

JOIN Genre ON Genre.GenreId = Track.GenreId

WHERE Milliseconds >

    (SELECT AVG(Milliseconds)

     FROM Track)

ORDER BY 3 DESC

total number of minutes of sold genres in the store

We can notice that the longest (by total minutes) genres are related to movies and TV shows like Science Fiction, Sci-Fi & Fantasy, Drama, and TV Shows.

Another thing that can be noticed is that even though a genre like Rock has a much greater number of tracks than a genre like Sci-Fi & Fantasy and Drama, the total minutes for them is higher as their tracks tend to be longer than Rock tracks.

Query #2

SELECT T1.Album_Name,

       Sum(T1.Track_price) AS Total_Money

FROM

  (SELECT T.AlbumId,

          A.Title AS ALbum_Name,

          IL.TrackId,

          SUM(IL.UnitPrice * IL.Quantity) AS Track_price

   FROM InvoiceLine IL

   JOIN Track T ON T.TrackId = IL.TrackId

   JOIN Album A ON A.AlbumId = T.AlbumId

   GROUP BY 3) T1

GROUP BY 1

ORDER BY 2 DESC

LIMIT 10

Most sold albums from the store

Using Query 2 to get the most sold albums by the store and then limiting the results to only 10 raws to just see clearly by a bar chart the 10 most sold.

We can clearly notice that the “Battlestar Galactica (Classic), Season 1“ album is the most sold by the store with a total earning of 35.82 $.

Query #3

SELECT M.Name AS Media_Type,

       Count(T.TrackId) AS Track_Counts

FROM Track T

JOIN MediaType M ON M.MediaTypeId = T.MediaTypeId

GROUP BY 1

ORDER BY 2 DESC

Media Type of Sold Tracks

From this Pie Chart, we notice two things

MPEG audio file is the most popular media type used by more than 85 % of the customers.

The AAC audio file and Purchased AAC audio files are rarely ordered from the store and they can be considered outliers.

Query #4

SELECT T1.Genre_Name,

       Sum(T1.Track_price) AS Total_Money

FROM

  (SELECT T.AlbumId,

          G.Name AS Genre_Name,

          IL.TrackId,

          SUM(IL.UnitPrice * IL.Quantity) AS Track_price

   FROM InvoiceLine IL

   JOIN Track T ON T.TrackId = IL.TrackId

   JOIN Genre G ON G.GenreId = T.GenreId

   GROUP BY 3) T1

GROUP BY 1

ORDER BY 2 DESC

Best-Selling Genres

We can see that Rock is the most sold genre and hence the most popular one too. We can also notice that more than 60 % of the earnings of the store come from the top 4 genres (Rock, Latin, Metal, and Alternative & Punk).

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Posted Jan 30, 2023

Querying a music store database to get some insights from it and take the output into a CSV file to visualize it and get meaningful results from the database.

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