Data Analysis: Cybermidnight Club Podcast

The paper presents an analysis of the performance of a podcast titled "Cybermidnight Club" on Spotify, using Python code and the pandas library to process and clean data from a CSV file. Initially, the characteristics of the data are examined, including the type and number of non-null values in columns such as "Time (UTC)", "Plays", "Streams", "Hours of consumption" and "Followers". The code then transforms the data, fills in the missing values, and generates descriptive statistics. Finally, the analysis includes the creation of graphs that visualize views and follower growth over time, as well as the relationship between plays and streams, and concludes with a summary of key metrics such as total views and peak followers, offering a comprehensive view of the podcast's performance.