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aafshar17/Netflix_shows_movies_2022

Deep dive analysis into Netflix's shows and movies library for content up until 2022 using PostgreSQL, Power Query, and Power BI (DAX, Visuals, and Dashboard). Led to potentially actionable insights regarding platform content.

Netflix_shows_movies_2022

Languages/Tools used: PostgreSQL, Power Query, Power BI (Visuals and Dashboard)

Datasets referenced

Netflix Shows and Movies Power BI Dashboard

  • Purpose of this analysis:
    Devise a scalable and high-quality analytical method to accomodate this extensive amount of data (over 80k rows of data in combined datasets). PostgreSQL and Power BI Visuals are being used to pull out meaningful information and present them in an easy to understand format using a mobile-friendly Power BI Dashboard. Key metrics including but not limited to genre preferences, movie rankings, viewership patterns, viewer ratings, and top actors/actresses can be explored using SQL queries and subqueries as needed. Power BI Service's dashboard sharing feature is particularly useful since it enables interactive exploration of the data which allows Netflix stakeholders to pursue actionable insights via visually appealing charts, graphs, and interactive data visualizations.
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