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.

Om Podcasten

Cybermidnight Club– Hackers, Cyber Security and Cyber Crime is a trailblazing podcast by Alberto Daniel Hill, an expert in cybersecurity and the first person in Uruguay to serve prison for a computer-related crime. A crime he isn’t guilty of, perhaps one which never happened. Join Alberto as he dives deep into the world of hackers and cybersecurity in his riveting podcast. In this series, Alberto provides firsthand insights into the dark web and expert analysis of cybersecurity issues that are central to our present digital age.