Netflix Content Analysis Dashboard

Objective:

To analyze Netflix’s movie and TV show library, uncover viewing trends, and understand content distribution by type, duration, country, and time of release.

Dataset Overview:

Source: Netflix Titles Dataset (from Kaggle)

Total Records: 8,807 titles

Columns Used: Title, Type, Country, Release Year, Rating, Duration, Genre, and Date Added

Data Cleaning & Transformation:

Performed in Power Query:

Extracted and formatted release year into decades

Created Duration Categories (Short, Medium, Long, and Series)

Split multiple genres for accurate categorization

Extracted day and month from the date of release for trend analysis

Key Insights:
1. Content Type Distribution

Movies make up the majority of Netflix content.

TV Shows still represent a large portion, showing Netflix’s balance between series and films.

2. Duration & Category

Most movies are medium-length (90–120 minutes).

TV shows dominate the series category.

3. Top Content-Producing Countries

The United States leads the platform, followed by India and the United Kingdom.

There is diverse global representation with Japan, France, and South Korea among top contributors.

4. Decade of Release

The 2010s had the highest content addition (5.9K titles).

Content production increased massively after 2000.

5. Release Trends

The highest number of releases occurred in March, August, and October.

Friday is the most common day for new content releases, aligning with weekend streaming habits.

6. Ratings Distribution

TV-MA and TV-14 dominate, suggesting Netflix targets mature audiences.

Tools & Techniques Used:

Power BI Desktop

Power Query (Data Cleaning)

DAX (Custom Columns & Measures)

Data Visualization and Storytelling

Conclusion:

This dashboard provides an interactive and visual overview of Netflix’s content landscape. It highlights viewing patterns, content growth, and the evolution of Netflix’s global presence, making it a powerful analytical tool for entertainment data insights.