Analyze the data and generate insights that could help Netflix in deciding which type of shows/movies to produce and how they can grow the business in different countries
The dataset provided consists of a list of all the TV shows/movies available on Netflix:
-Show_id: Unique ID for every Movie / Tv Show
-Type: Identifier - A Movie or TV Show
-Title: Title of the Movie / Tv Show
-Director: Director of the Movie
-Cast: Actors involved in the movie/show
-Country: Country where the movie/show was produced
-Date_added: Date it was added on Netflix
-Release_year: Actual Release year of the movie/show
-Rating: TV Rating of the movie/show
-Duration: Total Duration - in minutes or number of seasons
-Listed_in: Genre
-Description: The summary description
#key Features-
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Defining Problem Statement and Analysing basic metrics.
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Observations on the shape of data, data types of all the attributes, conversion of categorical attributes to 'category' (If required), missing value detection, statistical summary.
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Non-Graphical Analysis: Value counts and unique attributes.
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Visual Analysis - Univariate, Bivariate after pre-processing of the data
Note: Pre-processing involves unnesting of the data in columns like Actor, Director, Country
4.1 For continuous variable(s): Distplot, countplot, histogram for univariate analysis.
4.2 For categorical variable(s): Boxplot.
4.3 For correlation: Heatmaps, Pairplots.
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Missing Value & Outlier check (Treatment optional).
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Insights based on Non-Graphical and Visual Analysis.
6.1 Comments on the range of attributes.
6.2 Comments on the distribution of the variables and relationship between them.
6.3 Comments for each univariate and bivariate plot.
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Business Insights - includes patterns observed in the data along with what you can infer from it.
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Recommendations - Actionable items for business.
