Advanced Data Analysis NanoDegree Project01: Investigate a Dataset

• In this project I'm going through the tmdb dataset analysis

• 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?
    
    

• 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• Dataset is a bet outdated.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