Skip to content

anand8163/Digital-music-store-

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 

Repository files navigation

Digital-music-store-Analysis

Objective:-

In this project I have examine the dataset with PostgreSQL(Pgadmin v4) and help the store understand its business growth.

Features :-

/* Q1: Who is the senior most employee based on job title? */

select * from employee

ORDER BY title DESC

limit 1

Screenshot (1)

/* Q2: Which country has the most invoices? */

select count(*) as c,billing_country from invoice

group by billing_country

order by c desc Screenshot (2)

/* Q3: What are top 3 values of total invoice? */

Select total from invoice

ORDER BY total DESC

limit 3 Screenshot (3)

/* Q4: Which city has the best customers? we would like to throw a promotional music festival in the city we made the most money. Write a query that returns one city that has
the highest sum of invoice totals. Return both the city name & sum of all invoice totals*/

Select SUM(total) as invoice_total, billing_city from invoice

group by billing_city

order by invoice_total desc

limit 1 Screenshot (4)

/* Q5 Who is the best customer? The customer who has spent the most money will be declared the best customer. Write a query that returns the person who has spent the most money. */

select customer.customer_id, customer.first_name, customer.last_name,

SUM(invoice.total) as total

from customer

JOIN invoice

ON invoice.customer_id = customer.customer_id

GROUP BY customer.customer_id

ORDER BY total desc

LIMIT 1 Screenshot (5)

/* Q6 Write query to return the email,first_name,last_name & genre of all Rock music listeners. Return your list order alphabetically by email starting with A */

select DISTINCT email,first_name,last_name from customer

JOIN invoice ON customer.customer_id = invoice.customer_id

JOIN invoice_line ON invoice.invoice_id = invoice_line.invoice_id

WHERE track_id IN (

SELECT track_id FROM track

JOIN genre ON track.genre_id = genre.genre_id

where genre.name LIKE 'Rock'

)

ORDER BY email; Screenshot (6)

/* Q7 Let's invite the artist who have written the most rock music in our dataset. Write a query that returns the artist name and total track count of the top 10 rock bands*/

select artist.artist_id,artist.name,COUNT(artist.artist_id) as no_of_songs from track

JOIN album ON album.album_id = track.album_id

JOIN artist ON artist.artist_id = album.artist_id

JOIN genre ON genre.genre_id = track.genre_id

where genre.name LIKE 'Rock'

GROUP BY artist.artist_id

ORDER BY no_of_songs DESC

LIMIT 10; Screenshot (7)

/* Q8 Return all the track names that have a song length longer than the average song length. Return the name and milliseconds for each track. Order by the song length with the longest song listed first.*/

select name,milliseconds from track

where milliseconds > (

select AVG(milliseconds) as avg_track_length

from track)

ORDER BY milliseconds DESC Screenshot (8)

About

Data analysis project using SQL(pgAdmin v4) for obtaining insights about digital music store business and help them to grow

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors