An exploratory analysis of Spotify data
Preface
A data visualization curriculum of interactive notebooks using Quarto, Plotly, PowerBi and Google Data Studio. This document was made to be part of my portfolio as a data analyst. For this book I took one of the subjects that I love the most, music; And using the Spotify API and my listening historic data I will explore the many options we have to display data appropriately.
Getting Started
Before showing code and data, I will explain the following points:
- This document contains multiple Jupyter Notebooks which are available for download in the Github repository.
- Most of the graphs were created with Plotly to take advantage of its visualization advantages with JS.
- The pages were made with markdown and rendered with Quarto.
Table of Contents
This document is divided into three sections, in each one I will use a different tool and analyze different sections in the data.
- Consuming the api: In this section I will show how to consume the Spotify API and plot the data with Plotly.
- Analyzing my listening patterns: My personal data will be analyzed to see how I listen to music and what are my favorite artists. This seccion will be made with PowerBI.
- Music trends in south america: In this section I will get data using the API again, but the tool will be Google Data Studio.
Tools
- Python
- Jupyter Notebook
- Plotly
- PowerBI
- Google Data Studio
About me
I am Carlos Medina, I have 10 years of experience in InfoSec and now I am starting with data analysis, you can see all the information on my personal page.