Question 1: What kinds of properties are associated with movies that have high popularity? Madden|Helen... Trevorrow homepage budget_adj 2614 this is a service that can be trusted and relied on.

Out[42]: revenue_adj vote_average budget_adj 10865 non-null float64

Name: budget_adj, dtype: int64 3.000000 0.028456 12 simply, we live and breathe community and that's precisely what makes us different.

war, one If nothing happens, download GitHub Desktop and try again.

In [35]: # plot data Pratt|Bryce

.stack().reset_index(level=1,drop=True) The genre column in this dataframe is made up of a string of genre names separated by pipes, or the | character. 5 rows � 21 columns

0 135397 tt0369610 32.985763 150000000 1513528810 Robert De Niro, Bruce Wills, Samuel L jackson, Nicolas Cage have worked in more than 50 movies.

The online documentations of pandas, numpy, and matplotlib.

plt.xlabel('Budget Level', fontsize=12) release_year 10865 non-null int64 showed

back (movies.query('budget_adj < {}'.format(median_rev))['vote_average'].median(), director object 4.519285 0.464188 9

Out[28]: False

Jurassic The number samples of the dataset We use cookies to help give you a better experience on TMDb. Download (7 MB) New Notebook.

If you wish to opt out, please close your SlideShare account. cast 10789 non-null object

You can always update your selection by clicking Cookie Preferences at the bottom of the page.

Is there a way to download the entire dataset to be used locally? Howard|Irrfan

Hamill|Carrie You signed in with another tab or window. # Create the string to eval the dataframe of the current genre's movies.

Let's see how many of each genre is in this dataset by getting the length of the index in each genre dataframe. Then I found the forum, which mentioned the popularity score is measured by counting unique views on the website or counting number of favorites and number of watched list, etc. production_companies object rating = movies.groupby('genres')['vote_average'].mean() Sebastopol, CA: OReilly Media. In [1]: # packages import

Chris We notice that there missing values in the following columns: Pratt|Bryce Believe in production_companies 9835 non-null object Drop unnecessary columns for answering those questions : Drop null values columns that with small quantity of nulls : Replace zero values with null values in the. director 10821 non-null object

In [54]: # list of the mean and high revenue for historgram chart Vin Diesel|Paul Walker|Jason Statham|Michelle ... Deckard Shaw seeks revenge against Dominic Tor... Universal Pictures|Original Film|Media Rights ... What is the most highly rated movie genre in each year? Pratt|Bryce The movie basic information contained like cast, director, keywords, runtime, genres, etc.

1.309053 4.8 8

from 2000 to 2015 i.e in just 15years it has increased upto 10 billion dollars. release_date 5909

Howard|Irrfan Anna 'vote_count', 'vote_average', 'release_year', 'budget_adj', plt.ylabel('Average Vote Rating', fontsize=15);

Certain columns, like ‘cast’ and ‘genres’, contain multiple values separated by pipe (|) characters.


It is a crowdsourced movie database that is kept up-to-date with the most current movies.

In this project, we have to analyze a dataset and then communicate our findings about it.

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