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Cybermidnight Club Podcast Analytics Report
Manage episode 493367703 series 2535026
Cybermidnight Club Podcast Analytics Report.
The source showcases a data analysis project focused on the performance of a Spotify podcast titled "Cybermidnight Club." It begins by illustrating Python code utilizing the pandas library to load and inspect podcast data from a CSV file, revealing information about columns like "Hora (UTC)," "Reproducciones" (Plays), "Streams," "Horas de consumo" (Consumption Hours), and "Seguidores" (Followers). Subsequent code demonstrates data cleaning (filling missing values), descriptive statistics, and the generation of visualizations using matplotlib, including time-series plots for plays and followers, and a scatter plot comparing plays to streams. Finally, the source presents a summary of key podcast metrics and provides interpretations of the generated graphs, offering insights into the podcast's reach and growth.
511 episodes
Manage episode 493367703 series 2535026
Cybermidnight Club Podcast Analytics Report.
The source showcases a data analysis project focused on the performance of a Spotify podcast titled "Cybermidnight Club." It begins by illustrating Python code utilizing the pandas library to load and inspect podcast data from a CSV file, revealing information about columns like "Hora (UTC)," "Reproducciones" (Plays), "Streams," "Horas de consumo" (Consumption Hours), and "Seguidores" (Followers). Subsequent code demonstrates data cleaning (filling missing values), descriptive statistics, and the generation of visualizations using matplotlib, including time-series plots for plays and followers, and a scatter plot comparing plays to streams. Finally, the source presents a summary of key podcast metrics and provides interpretations of the generated graphs, offering insights into the podcast's reach and growth.
511 episodes
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