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We examine two data sets relate with the music Industry. We Extract, transform and load the data sets in order to create a data base and identify insides and trends about the music Industry.

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The Music has Changed

In this project, We going to examine two data sets relate with the music Industry.

The first contain the music sales from 1973 to 2019 in USA, based on sales data by the Recording Industry Industry Association of America (RIAA). The second data set contain the followers and Spotify popularity by album, artist and songs for the last teen years.

We want Extract, transform and load this in order to identify insides and trend about the music Industry.

Our goal is to create a data base in PostgreSQL that combine the three data set.

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Links

PROYECT : https://github.com/NEXTSLIM/PROYECT-II-The-Music-has-Changed

WEBSIDE: https://nextslim.github.io/The-Music-has-Changed-WEBSIDE/ ▌ 'WEB SIDE ONLY FOR LAPTOP OR PC" ▌

Data sources:

SALES DATA: https://www.riaa.com// Spotify DATA: https://www.kaggle.com/yogeshtak

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We examine two data sets relate with the music Industry. We Extract, transform and load the data sets in order to create a data base and identify insides and trends about the music Industry.

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