---
# System prepended metadata

title: 'BDA : Recommending Music and the Audioscrobbler Data Set'

---

# BDA : Recommending Music and the Audioscrobbler Data Set
GroupeC : Ranaivo Hana, Dévaud Guillaume, Rubin Vincent

Repository : https://github.com/gdvaud/bda-project-2021

## Description du dataset 
[Audioscrobbler Data Set](http://www.iro.umontreal.ca/~lisa/datasets/profiledata_06-May-2005.tar.gz) 

### Files

user_artist_data.txt
    3 columns: userid artistid playcount

artist_data.txt
    2 columns: artistid artist_name

artist_alias.txt
    2 columns: badid, goodid
    known incorrectly spelt artists and the correct artist id. 
    you can correct errors in user_artist_data as you read it in using this file
    (we're not yet finished merging this data)


### License

This data set contains profiles for around 150,000 real people
This data is made available under the following Creative Commons license:
http://creativecommons.org/licenses/by-nc-sa/1.0/

## Questions d'analyse	
* Quel artiste intéresserait une personne s'il a écouté un certain autre artiste ? -> marketBasketAnalysis 

