Reading a CSV file
A CSV file is a plain text file where commas separate each data point, and each line represents a new record. It is widely used in many areas, such as finance, marketing, and sales, to store data. Software such as Microsoft Excel and LibreOffice, and even online solutions such as Google Spreadsheets, provide reading and writing operations for this file. Visually it resembles a structured table, which greatly enhances the file’s usability.
Getting ready
You can download the CSV dataset for this from Kaggle. Use this link to download the file: https://www.kaggle.com/datasets/jfreyberg/spotify-chart-data. We are going to use the same Spotify dataset as in Chapter 2.
Note
Since Kaggle is a dynamic platform, the filename might change occasionally. After downloading it, I named the file spotify_data.csv.
For this recipe, we will use only Python and Jupyter Notebook to execute the code and create a more friendly visualization.
