Spotify-EDA-Project

For this exploratpry data science project, I downloaded my own spotify streaming history and tried to get different inferences and useful information I can get about my usage. I used python programming along with python libraries like numpy, pandas, matplotlib and seaborn. My codes are written in jupyter notebook and I explained all the steps with specific details.

Data Collected From -

Spotify

Steps Performed -

1. Importing the data
2. Merging the data
3. Cleaning and Formatting

Data Exploration

1. Unique/ Non-Unique Artist
2. Top 10 Artists
3. Top 10 Songs
4. Day/Weekly Usage

Questions Explored -

1. How many hours did I spent on Spotify Streaming since the day I signed up for it?
2. What is the average numbers of songs I played daily ?
3. Who are my favourite 100 Artist ?
4. What are My Favourite 100 Songs ?
5. How my usgae varies over a week?
6. Most Usage ( Active usage in a day over a week) ?

Inferences and Conclusions

I have spent almost 369 hours streaming on spotify till now.

References

Dataset :

• Spotify Help : https://support.spotify.com/us/article/data-rights-and-privacy-settings/
• Spotify Help : https://www.spotify.com/us/privacy

Tools Used :

• Jovian Course : https://jovian.ai/learn/data-analysis-with-python-zero-to-pandas