{"id":15066720,"url":"https://github.com/rushilsharma1/musicstore_analysis","last_synced_at":"2026-01-02T16:56:15.098Z","repository":{"id":256278386,"uuid":"854811429","full_name":"rushilsharma1/MusicStore_Analysis","owner":"rushilsharma1","description":"Project on data analysis of an MusicStore","archived":false,"fork":false,"pushed_at":"2024-09-11T21:53:33.000Z","size":16020,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-22T16:12:57.458Z","etag":null,"topics":["dataanalysis","database","datascience","problem-solving","query","sql"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/rushilsharma1.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-09-09T20:19:21.000Z","updated_at":"2024-09-28T18:06:00.000Z","dependencies_parsed_at":"2024-09-12T06:59:15.582Z","dependency_job_id":null,"html_url":"https://github.com/rushilsharma1/MusicStore_Analysis","commit_stats":null,"previous_names":["rushilsharma1/musicstore_analysis"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rushilsharma1%2FMusicStore_Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rushilsharma1%2FMusicStore_Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rushilsharma1%2FMusicStore_Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rushilsharma1%2FMusicStore_Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/rushilsharma1","download_url":"https://codeload.github.com/rushilsharma1/MusicStore_Analysis/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243822319,"owners_count":20353496,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["dataanalysis","database","datascience","problem-solving","query","sql"],"created_at":"2024-09-25T01:11:14.106Z","updated_at":"2026-01-02T16:56:15.059Z","avatar_url":"https://github.com/rushilsharma1.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# MusicStore_Anlysis #dataanalysis #data\n\nQ1.Write query to return the email, first name, last name, \u0026 Genre of all Rock Music listeners. \nReturn your list ordered alphabetically by email starting with A.\n\nQ2: Let's invite the artists who have written the most rock music in our dataset. \nWrite a query that returns the Artist name and total track count of the top 10 rock bands.\n\nQ3: Return all the track names that have a song length longer than the average song length. \nReturn the Name and Milliseconds for each track. Order by the song length with the longest songs listed first.\n\nQ4: Find how much amount spent by each customer on artists? Write a query to return customer name, artist name and total spent */\n\n Steps to Solve: First, find which artist has earned the most according to the InvoiceLines. Now use this artist to find \nwhich customer spent the most on this artist. For this query, you will need to use the Invoice, InvoiceLine, Track, Customer, \nAlbum, and Artist tables. Note, this one is tricky because the Total spent in the Invoice table might not be on a single product, \nso you need to use the InvoiceLine table to find out how many of each product was purchased, and then multiply this by the price\nfor each artist.\n\nQ5: We want to find out the most popular music Genre for each country. We determine the most popular genre as the genre \nwith the highest amount of purchases. Write a query that returns each country along with the top Genre. For countries where \nthe maximum number of purchases is shared return all Genres.\n\nSteps to Solve:  There are two parts in question- first most popular music genre and second need data at country level.\n\nQ6: Write a query that determines the customer that has spent the most on music for each country. \nWrite a query that returns the country along with the top customer and how much they spent. \nFor countries where the top amount spent is shared, provide all customers who spent this amount. \n\n Steps to Solve:  Similar to the above question. There are two parts in question- \nfirst find the most spent on music for each country and second filter the data for respective customers. \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frushilsharma1%2Fmusicstore_analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frushilsharma1%2Fmusicstore_analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frushilsharma1%2Fmusicstore_analysis/lists"}