A study about Pixar’s Movies and its influence on Oscar [Data Science Project] Paulo Vasconcellos Blocked Unblock Follow Following Nov 21, 2016 Let’s analyse some data about Pixar’s Movies and get some Insights through this process. Introduzing and analyzing the data Pixar Animation is one of the most well known animation studios in the world and many people worldwide religiously watch every new released film. With hits like Toy Story, Finding Nemo, Monster’s Inc, and A Bug’s Life, Pixar’s movies are adored by kids for their charming characters and by adults for their wit. While Pixar has seen a lot of success, including a successful acquisition by Disney, not every one of their movies have been a hit. In this project, I’ll explore the ups and downs of Pixar over the years primarily using data visualization. Data visualization is especially useful in this case since our sample size, only 15, is low and we can glean more general insights from exploring the data visually. Alex Albright has put together a dataset containing critics’ ratings and opening weekend revenue for all of Pixar’s movies, which you can find on her Github repo. While this is a wonderful starting point, there’s a lot more information available for each movie that we can add. By scraping the data from Box Office Mojo and making some adjustments, it was able to put together the following dataset. The data is upto date as of November 2015 and doesn’t contain the updated revenue numbers for Inside Out or any data on The Good Dinosaur. Here are some of the columns in this dataset, PixarMovies.csv: Year Released — the year the movie was released.

Movie — the name of the movie.

RT Score — the Rotten Tomatoes rating for the movie.

IMDB Score — the IMDB rating for the movie.

Metacritic SCore — the Metacritic rating for the movie.

Opening Weekend — the amount of revenue the movie made on opening weekend (in millions of dollars).

Worldwide Gross — the total amount of revenue the movie has made to date.

Production Budget — the amount of money spent to produce the film (in millions of dollars).

Oscars Won — the number of Oscar awards the movie won.

The data was added from these sources: Box Office Mojo — www.boxofficemojo.com/

IMDB — www.imdb.com

Rotten Tomatoes — www.rottentomatoes.com

Metacritic — www.metacritic.com

You may have noticed the error above. That’s because the column ‘Oscars Nominated’ and ‘Oscars Won’ for the movie Inside Out is unavailable, because, as I told you previously, this dataset is only upto date as of November 2015 and doesn’t contain the Oscar nomations or results. For now, it will not influence in this project.

Unfortunately, “The Good Dinosaur” is not in this dataset

Data Cleaning

“Wall-e” was the most nominated movie for Oscar Award

Data Visualization Now that the average reviews for each movie from the 3 major review sites are all on a 100 point scale, we can ask the question: How do the Pixar films fare across each of the major review sites?

From the previous plot, it seems like the review site Rotten Tomatoes gives Pixar consistently higher ratings. Let’s generate a box plot to explore the question: How are the average ratings from each review site across all the movies distributed?

From the box plot, it looks like our hunch that Rotten Tomatoes gave the Pixar movie consistently higher ratings seems to be true. It also looks like Metacritic’s ratings for the Pixar movies are more spread out, ranging from right under 60 to right under 100. The Domestic % and International % columns describe the percentage of the total revenue that was made in the United States and internationally, respectively. We can use those columns to explore these questions:

“Ratatouille” was the most profitable movie outside U.S

How has the ratio of where the revenue comes from changed since the first movie? Now that Pixar is more well known internationally, is more revenue being made internationally for newer movies? To understand how the ratio has changed over the years, we can generate a stacked bar plot. A stacked bar plot is a type of bar plot where the values for each column are stacked on top of each other to better display the ratios. Stacked bar plots are especially useful when plotting proportional values that add upto 100% since it’s easy to visually compare changes across bars.

Spend some time visually exploring it. You’ll notice that there’s been a general decrease in the proportion of revenue that was made domestically. While the first few movies were right around 50%, the last few movies have been hovering closer to 40%. A quick lookup of Inside Out on BoxOfficeMojo also suggests that this movie is around 40% (41.6% to be exact) right now. Now, let’s take a look at the influences that an Oscar Nomation or Win could make on a movie. Above, I created the oscar_data, which will contain just informations about nomations and wins.

An interesting fact in this case is that “The Incredibles”, “Up” and “Toy Story 3” got both two Oscars Awards. Although “WALL-E” was nominated six times, it just won one award; and “Monsters University”, which had one of the biggest International Revenue, was not nominated to Oscar. As we can see, the quantity of Oscars Nomations does not influence whether a movie will win an award or not. Finally, “Brave”, for example, was nominated just once, but it won this prize.

Our conclusion: Pixar’s audience continue to grow, chiefly around the world