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Analyze another fileExploratory data analysis of Netflix content catalog covering content type distribution, release trends, rating profiles, geographic production, genre co-occurrence, and missing data profiling
Use this when you have a content catalog dataset with type, year, rating, country, genre, and date fields
Do not use if you need predictive modeling or user behavior data
Dataset with 9 columns
Minimum 30 rows
Automated exploratory data analysis of 8,807 Netflix titles (movies + TV shows) from the canonical Kaggle dataset (shivamb/netflix-shows, 9,814 votes). Covers univariate distributions, bivariate relationships, temporal trends (release_year, date_added), categorical breakdowns (type, rating, country, listed_in), and missing-value profiling. No modeling — pure descriptive analytics with interpretive narrative.
Movie vs TV Show count breakdown showing platform content type split
Release year histogram showing recency bias in Netflix catalog
Content rating frequency showing adult-skewed catalog composition
Top producing countries with US dominance clearly shown
Genre co-occurrence matrix revealing common genre pairings
Monthly content addition trend showing peak catalog acquisition periods
Plain-English interpretation — what the numbers mean, what's significant, and what to do next.
Understand Netflix content strategy trends over time
Understand Netflix content strategy trends over time
See our FAQ for details on pricing, data privacy, and how the analysis works. Every report includes a Methodology section showing the statistical test, assumptions checked, and diagnostics run.
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