Advanced Data Analysis NanoDegree Project01: Investigate a Dataset
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In this project I'm going through the tmdb dataset analysis
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Doing this i will try to answer the following questions:
- 1- What are the most common genres?
- 2- What are the most working production companies?
- 3- Which actors contributed most in the movies?
- 4- Who Directed the most ?
- 5- How data columns are correlated to each other?
- 6- What movie has the highest and the lowest budget, revenue, popularity, runtime and vote_average?
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I will depend mostly on visual representation of my findings
- Most produced Genres in order are Drama, Comedy, Thriller, Action and Romance.
- Most Movies are produced by Universal Picture and Warnner Bros. which contribute by about 13% of top 20 companies productions each.
- Robert De Niro and Samuel L. Jakson are the most actors contributed in movies.
- Of course Woody Allen has the largest amount of movies as director.
- 2010 is the year with the highest movies budget.
- 2015 is the one with the highest revenues.
- The Warrior's Way Movie is the one which had the highest budget with [425000000].
- Avatar is the one with the highest revenue reaching [2781505847].
- Jurassic World has the most popularity and Born into Brothels has the lowest.
- Carlos has the longest [338 min] runtime ! and Kid's Story has the shortest [15 min].
- Harrison Ford is the highest Actor.
- Warner Bros. is the highest Company.
- Action is the highest Genre.
- Steven Spielberg is the highest Director.
- Budgets average around 14.6 M.
- Revenues average around 40 M.
- Runtime averages aroung 102 min.
- Not all real data aren't taken into consediration because of missing or dropped data.
- Currency of the budget and revenue is unknown which makes Conclusion not accurate.
- Dataset is a bet outdated.
Used Pandas, Numpy, seaborn