Additional Info: Blue Season (2013); Secrets of the Force Awakens: A Cinematic Journey (2016); The Eagle Huntress (2016); Ophelia (2019); Crossed Wires (2013); 100% Beef (2013); Asteroid Hunters (2020); The Marsh King's Daughter (2023); For Tomorrow – the Documentary (2022); Scrawl (2015); Chaos Walking (2021); The Skywalker Legacy (2020); The Inventor (2023); Baba Yaga (2021); Under (2014); Star Wars: The Rise of Skywalker (2019); Flopsy Turvy (2018); Star Wars: The Last Jedi (2017); Balance Of The Force (2018); The Director and the Jedi (2018); Star Wars: The Force Awakens (2015); Peter Rabbit (2018); Letters Live from the Archive: International Women’s Day (2021); The Force of Sound (2018); Murder on the Orient Express (2017); Barbra: The Music ... The Mem'ries ... The Magic! (2017); Star Wars: Greatest Moments (2015); The Bubble (2022)
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The number of movies Daisy Ridley appeared in correlates with...
Variable | Correlation | Years | Has img? |
Nuclear power generation in Mexico | r=0.94 | 9yrs | No |
The number of librarians in Louisiana | r=0.88 | 6yrs | No |
Points Scored by the losing team in the Super Bowl | r=0.7 | 10yrs | No |
Total minutes of Doctor Who aired | r=0.63 | 11yrs | No |
The distance between the moon and the Sun | r=0.55 | 11yrs | No |
The number of movies Daisy Ridley appeared in also correlates with...
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You caught me! While it would be intuitive to sort only by "correlation," I have a big, weird database. If I sort only by correlation, often all the top results are from some one or two very large datasets (like the weather or labor statistics), and it overwhelms the page.
I can't show you *all* the correlations, because my database would get too large and this page would take a very long time to load. Instead I opt to show you a subset, and I sort them by a magic system score. It starts with the correlation, but penalizes variables that repeat from the same dataset. (It also gives a bonus to variables I happen to find interesting.)