Blog; About; Resume; The Bechdel test and the X-Mansion with tidymodels and #TidyTuesday. These 11 iconic films, including “To All the Boys I’ve Loved Before” and “Mean Girls,” pass with flying colors. The Bechdel test is named after cartoonist Alison Bechdel, who introduced the idea in a comic strip in the year 1985. I will then use a gender prediction library to predict the gender of the director from their name, and merge this with the previous dataframe.The newly created data frame now has an additional variable in it; director. To pass the test, a film (or work of fiction) must meet three requirements, Even Bechdel herself once said that the test has its limits, IndieWire shared. Are movies with higher Bechdel scores more likely to have higher IMDB ratings, or is it the other way round?To do so, I will use a different dataset called movies.csv, and merge it with my existing data frame.The ‘rating’ column in the dataframe represents the IMBD movie ratings. Now, focus on one element at a time rather than doing an all-encompassing breakdown. The Bechdel Test is basically a rule to gauge the representation of women in films and fiction as created by Alison Bechdel in 1985. Copyright © 2020 Heavy, Inc. All rights reserved. I decided to conduct data analysis on movie datasets to check whether or not they passed the test!My aim was to collect data from various different sources, and answer the following questions about the Bechdel test:I will use Python to perform all data analysis and visualization.First, I used data from bechdeltest.com, which was pretty easy to grab because of their API.Now, I will take a look at the head of the data frame:Taking a look at the column ‘year’, you can see that there are movies present from the 19th century, and a lot of those movies have a Bechdel score of 0.I am going to create a new data frame with movies released after the year 1967, and will be using this new data frame for the rest of my analysis.I am now going to rename the column ‘rating’ to ‘Bechdel Score’, to make things clearer for the rest of the analysis.Now, I am going to convert the ‘year’ column into a datetime object.Next, I will change the Bechdel Scores to categorical variables.Finally, the data is prepared and can be used to do some data visualization.I will first create a count plot using Seaborn, to visualize the Bechdel scores.Most movies after the year 1967 seem to have higher Bechdel scores, but do they pass the Bechdel test?Now, there is a dataframe called pass test, with a value of 1 for all the movies that pass the Bechdel test, and a value of 0 for the movies that don’t.There are more movies that have passed the Bechdel test as opposed to the ones that haven’t, since the year 1967.However, this difference is not as significant as I expected it to be. This column has a few null values, and these rows will be dropped.I will then create a new data frame with only the year, Bechdel score, and IMDB rating, so I can visualize the relationship between the three.It appears as though movies that pass the Bechdel test have significantly lower IMDB ratings compared to movies that don’t, which was pretty surprising to me.Now, I will try to visualize the relationship between the gender of the director and Bechdel scores. There still seems to be a very large number of movies that didn’t pass the test.Now, I will take a look at how the Bechdel scores changes with time.Has there been an improvement in the representation of women in the film industry? For example, the test was the subject of an episode of Still, it was just a minor focus of the episode, resulting in one really funny scene involving Summer and her mom as they faced a group of female scorpions.Here’s what we know so far about the rest of the episodes of
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