Data Muse

Purpose: To investigate what, if any, Marvel (MCU) movies males prefer more than females.     Source(s): I used the Wikipedia list of MCU films  Wikipedia page . I scraped most IMDB ratings mid-2019, but manually added in the post-2019 movies last week. When you have an IMDB account, there is a page that shows you gender demographics and age demographics. IMDB gets these demographics from their IMDB members who have registered with their gender and age. Excel Data  | Annotated R Code | Disney version | Pixar version   Highlights and Considerations: •           IMDb ratings are rated on a 10-point scale. The average IMDb rating (across the 26,000 most rated movies) is 6.92 with a standard deviation of 0.96. This means most average movie ratings (68%) across   movies are within 1 point of each other. Therefore, while a decimal point difference between gender ratings might seem negligible on a 10-point scal...

  Purpose: To investigate if what Walt Disney Animation Studio Movies males prefer more than females (if any).   Source(s): I used the List of Walt Disney Animation Studios films Wikipedia page (https://u.nu/tAsiC). I scraped IMDB ratings mid-2019 to get the ratings. When you have an IMDB account, there is a page that shows you gender demographics and age demographics. IMDB gets these demographics from their IMDB members who have registered with their gender and age. Excel Data: (https://u.nu/OKPYh). Annotated R Code: ( https://u.nu/WTLnX )   Highlights and Considerations: •       Females tend to rate movies more favorably than males (Δ = 0.14). I group mean-centered the data (by gender) to see if women still liked Disney movies more than men after controlling for this small systematic bias. •       Disney movies are rated higher than the average IMDB rating (Δ = .45), but are more favorably rated by females than males c...

Canadian Covid 19 Dashboard Social isolation can really change one's behavior. For me, it has meant spending a lot more time compiling and exploring different datasets in R. As I'm sure many others are, I have recently been playing with COVID-19 data. I was curious about how my home country of Canada has been handling COVID-19 so I created this dashboard to monitor the progress. Each graph hosted here is generated by my publicly available R code 1 and updates whenever I run the code (which tends to be daily). The data comes from official Canadian government reports 2 . If you have any questions, do not hesitate to ask. A few notes on the data... As one might expect, data during a pandemic isn't always accurate and up-to-date. There are several considerations when interpreting this data: New cases and deaths are reported on a 14-day rolling average. As day-to-day statistics can be volitile and influenced by systematic varaibles, I used a rolling ...