Are you struggling to perform EDA with R and Python?? Here is an easy way to do exploratory data analysis using Tableau.

Lets Dive in to know the process and look at the analysis !

Introduction

Netflix is the world’s leading internet entertainment service with 158 million paid memberships in over 190 countries enjoying TV series, documentaries and feature films across a wide variety of genres and languages. I was curious to analyze the content released in Netflix platform which led me to create these simple, interactive and exciting visualizations with Tableau.

Data Source

The dataset used in this EDA project is taken from Kaggle. Click here to download the data.

Data Description

Data has 12 columns which include show id, title, type, director, cast, country, release year, description, rating and genre of the movies/TV shows. Type column gives if each record is a movie or Tv show. Country column has all the countries a movie or show is released. Each movie or show belongs to one or more genres which is mentioned in the genre column separated by commas.

Data Transformation

In order to visualize top genres or country wise releases, the existing data has to be transformed. We don’t require any coding experience to do this. A simple understanding of Alteryx tool creates a pipeline to transform the data. Lets break down the transformation to 2 steps.

Step 1: Convert the text in country and genre columns to multiple columns.

Step 2: Transpose the columns to get a record for each genre or country.

See below, the screenshots of the workflow and data sample before and after transformation

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