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🔭 I am a Data Analyst who enjoys creating and providing data-driven decisions to ensure maximum accuracy
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🌱 Exploring the vast sea of DATA.
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⚡ In my free time, I read about science and play videogames.
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🏅 About This project : Is using a database from kaggle of 1000 movie titles and get some usefull insights.
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The data needed some cleaning and wrangleling before we could answer some questions.
Analyze trends in genre popularity across different time periods. Is there a correlation between a movie's IMDB rating and its box office gross?
- I separated the movies in 3 groups of years so i can avoid a bit the inflation, obviously not the same money youcould win with a movie in 1950 than in 2020
Determine if higher-rated movies tend to earn more at the box office. Does a higher Meta_score correlate with a higher IMDB rating?
Examine the relationship between critic scores and audience ratings. What is the distribution of movie certificates (ratings), and how do they affect IMDB ratings?
Lets go for the last question, which directs have the best ratings? And since we love top tens ,lets go with one of directors by ratings earned.
- I separated the movies in 3 groups of years so i can avoid a bit the inflation, obviously not the same money youcould win with a movie in 1950 than in 2020
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