The dataset for this analysis can be found on Kaggle.
Netflix is one of the most popular media and video streaming platforms. They have over 8000 movies or tv shows available on their platform, as of mid-2021, they have over 200M Subscribers globally. This tabular dataset consists of listings of all the movies and tv shows available on Netflix, along with details such as - cast, directors, ratings, release year, duration, etc.
- Python in Jupyter Notebook is used for Data Clenaing and Exploratory Data Analytics or EDA.
- Tableau is used for Data Visualization and creating Interactive Dashbaord.
Link to Tableau Dashboard -> AllAbout_Netflix
- Load the Dataset.
- Understand the Dataset, its types and missing value in the dataset.
- Clean the dataset and handle the missing value from the dataset.
- Perform the Data Visualization
- Perform Data Normalization where ever seems to require.
- Perform the Feature Engineering to make data more understandable and extract the possible new information from the dataset.
- Create the final Summary report on Tableau from the information gathered while performing EDA.
The visual representation of the final dashboard is displayed below. Multiple graphs has been used to summarize the insights from the dataset. Users can use filters to discover a movie's or TV show's description as well as the year it was released in, the rating, duration, directors and genre.
