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Analyzed various metrics related to a website’s functionality, user engagement, and overall success using python pandas and matplotlib

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Website-performance-analysis-

Analyzed various metrics related to a website’s functionality, user engagement, and overall success using python pandas and matplotlib

The dataset we are working on contains the following columns:

  • Session primary channel group: The marketing channel (e.g., Direct, Organic Social)
  • Date + hour (YYYYMMDDHH): The specific date and hour of the session
  • Users: Number of users in a given period
  • Sessions: Number of sessions in that period
  • Engaged sessions: Number of sessions with significant user engagement
  • Average engagement time per session: The average time a user is engaged per session
  • Engaged sessions per user: Ratio of engaged sessions to total sessions per user
  • Events per session: Average number of events (actions taken) per session
  • Engagement rate: The proportion of sessions that were engaged
  • Event count: Total number of events during the period

I included the csv file incase you want to recreate the analysis and perform your own additional analysis on it. For a comprehensive explanation of each line of code please visit the medium article for this project: https://medium.com/@moyeedjo/website-performance-analysis-using-python-e61b3ddc5696 Thank You!

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Analyzed various metrics related to a website’s functionality, user engagement, and overall success using python pandas and matplotlib

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