Problem Statement The goal is to analyze Netflix’s content strategy to understand how various factors like content type, language, release quaterly, and timing affect viewership patterns. By identifying the best-performing content and the timing of its release, the aim is to uncover insights into how Netflix maximizes audience engagement throughout the year.
It means analyzing how content is created, released, distributed, and consumed to achieve specific goals, such as maximizing audience engagement, or viewership (Hours).
- Finding Duplicates
- Data Type Correction
- Handling NULL Values
- Visualizing the distribution of total viewership hours between Shows and Movies:
- Analyzing the distribution of viewership across different languages to understand which languages are contributing the most to Netflix’s content consumption:
-
Analyze how viewership varies based on release dates to identify any trends over time, such as seasonality or patterns around specific months:
-
To get deeper insights, we can analyze the most successful content (both shows and movies) and understand the specific characteristics, such as genre or theme, that may have contributed to high viewership:
-
The top 5 most-viewed titles on Netflix in 2023 are:
- Now have a look at the viewership trends by content type: (The graph compares viewership trends between movies and shows throughout 2023.)
- Now, let’s analyze the number of content releases and their viewership hours across months:
So, the content strategy of Netflix revolves around maximizing viewership through targeted release timing and content variety. Shows consistently outperform movies in viewership, with significant spikes in December and June, indicating strategic releases around these periods.