martedì 28 febbraio 2017

Oscars 2017 Predictions
This is a predictive analysis on the Oscars 2017.

The win probability for each award is calculated using the methodology described by Nate Silver of FiveThirtyEight. The win probability is based on the historical accuracy of the other awards predicting the Oscar winner over the last 25 years. It also uses whether or not the award voting memberships overlap with the Academy. Finally, it uses the number of nominations for each award type.

Each award is based on the square of its historical accuracy, and then double the score for overlapping membership. The nominations points are multiplied by 0.2 and added to the overall score. This final score is then normalized to convert the value to a percentage.

This viz was published on InfoData - Il Sole 24 Ore at this link: 

Click below and go to the interactive Viz!

Filippo Mastroianni was born on March 14, 1988 in Milan. Data Analyst and Consultant for The Information Lab Italy, approaches the data-driven world from a humanistic background. He graduates with a thesis on Data Journalism and discovered his great passion for Data Visualization. Since 2016 he regularly collaborates with Il Sole 24 Ore. Author of several Viz of the Day, he is currently Tableau Ambassador and Tableau Featured Author.

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