MIP Logo

Dashboard week – Day 5: Pixar Films

This post was originally published on The Data School blog between 2018 and July 2025, before our program was renamed to MIP’s Analytics Career Accelerator. References throughout this article to “The Data School” or “DS” all refer to what is now MIP’s Analytics Career Accelerator. The program, its people, and its commitment to launching outstanding analytics careers remain the same – just under a new name.

If you are having trouble viewing this article, please report it here

Dashboard Week – Day 5: Pixar Movies

On the last day of Dashboard Week, we were tasked with creating a dashboard in Tableau using a dataset of Pixar movies.

This time, the data was already clean, so we didn’t need to use Alteryx for preprocessing.

Since most people would likely focus on the movies themselves, I decided to explore what happens behind the scenes, specifically examining the people who have worked on these films. The question I aimed to answer was: Who stands out behind Pixar’s success?

Participation


The dataset included 95 individuals who contributed to 28 movies. Of those, 33 people worked on multiple films, and 14 contributed to more than three.

Awards


The success of these movies is closely linked to the efforts of those behind the scenes, often reflected in award nominations. Andrew Stanton’s films have received at least 27 nominations in total. However, when measuring awards per film, Jim Reardon and Jim Morris lead the way.

People’s Reviews vs. Critics’ Scores


There is little difference between public reviews and critics’ scores. Generally, if a movie scores high with one group, it scores high with the other, with no significant discrepancies. Movies from Jim Morris, Alec Sokolow, and Jan Pinkava ranked highest on both IMDb and Metacritic.

Budget vs. Box Office


Regarding budget versus box office returns, Andrea Datzman, Mark Nielsen, and Nicole Parades Grindle contributed to films with higher budgets and greater returns. However, four individuals participated in films that did not generate profits.

This is the link to access the dashboard: Pixar Films

Share this post

Dashboard week – Day 5: Pixar Films

This post was originally published on The Data School blog between 2018 and July 2025, before our program was renamed to MIP’s Analytics Career Accelerator. References throughout this article to “The Data School” or “DS” all refer to what is now MIP’s Analytics Career Accelerator. The program, its people, and its commitment to launching outstanding analytics careers remain the same – just under a new name.

If you are having trouble viewing this article, please report it here

Dashboard Week – Day 5: Pixar Movies

On the last day of Dashboard Week, we were tasked with creating a dashboard in Tableau using a dataset of Pixar movies.

This time, the data was already clean, so we didn’t need to use Alteryx for preprocessing.

Since most people would likely focus on the movies themselves, I decided to explore what happens behind the scenes, specifically examining the people who have worked on these films. The question I aimed to answer was: Who stands out behind Pixar’s success?

Participation


The dataset included 95 individuals who contributed to 28 movies. Of those, 33 people worked on multiple films, and 14 contributed to more than three.

Awards


The success of these movies is closely linked to the efforts of those behind the scenes, often reflected in award nominations. Andrew Stanton’s films have received at least 27 nominations in total. However, when measuring awards per film, Jim Reardon and Jim Morris lead the way.

People’s Reviews vs. Critics’ Scores


There is little difference between public reviews and critics’ scores. Generally, if a movie scores high with one group, it scores high with the other, with no significant discrepancies. Movies from Jim Morris, Alec Sokolow, and Jan Pinkava ranked highest on both IMDb and Metacritic.

Budget vs. Box Office


Regarding budget versus box office returns, Andrea Datzman, Mark Nielsen, and Nicole Parades Grindle contributed to films with higher budgets and greater returns. However, four individuals participated in films that did not generate profits.

This is the link to access the dashboard: Pixar Films

Share this post