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For this human-centered data science project, I analyzed some data on the Gender characteristics of Superheroes and Villains to determine the ratio of female characters that appear in comic books compared to their male counterparts using Matplotlib.

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superhero_data_analysis

Summary: For this human-centered data science project, I analyzed some data on the Gender characteristics of Superheroes and Villains.

Project Goal: To determine the ratio of female characters that appear in comic books compared to their male counterparts.

| ITEM (DATA TYPE): DESCRIPTION |

name (string): Name of each Superhero/Villain, gender (string): Gender identity of each comic book character, eye_color (string): Eye color of each character, race (string): Race (i.e. human or non-human) of each fictional Superhero/Villain, hair_color (string): Hair color of each comic book character, height (decimal): Estimated height of each comic book Superhero/Villain, publisher (string): The comic book publisher that each Superhero/Villain is associated with, skin_color (string): Skin tone or color of each character (i.e. blue, green, yellow, etc.), alignment (string): Each character is labeled as either good or bad; Superheroes are good and Villains are bad, weight (decimal): Estimated weight of each comic book character.

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For this human-centered data science project, I analyzed some data on the Gender characteristics of Superheroes and Villains to determine the ratio of female characters that appear in comic books compared to their male counterparts using Matplotlib.

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