Data Analysis: Cybermidnight Club Podcast

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.


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Hackers Broadcasting State Level Attacks Live

Hackers Broadcasting State Level Attacks Live

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Hackers announce government breaches on X.mp3

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MRBAN, retro de programación, FLECKERI R7, Chronus Team

MRBAN, retro de programación, FLECKERI R7, Chronus Team

MRBAN, retro de programación, FLECKERI R7, Chronus TeamRAW AUDIO

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These sources consist of a transcript from a social media audio space involving hackers, cyber security analysts, and digital activists primarily within the Latin American underground. The dialogue fo...

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The Anonymous Legacy: Digital Vigilantism and Global Change

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These sources present a comprehensive documentary exploring the origins and global influence of the Anonymous hacking collective. The materials examine how this decentralized group transformed from in...

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