geehaad / TV-Raiting-Guest-Stars-and-The-Office-

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

TV-Raiting-Guest-Stars-and-The-Office-

    This dataset contains information on a variety of characteristics of each episode. In detail, these are:

  • datasets/office_episodes.csv
  • episode_number: Canonical episode number.
  • season: Season in which the episode appeared.
  • episode_title: Title of the episode.
  • description: Description of the episode.
  • ratings: Average IMDB rating.
  • votes: Number of votes.
  • viewership_mil: Number of US viewers in millions.
  • duration: Duration in number of minutes.
  • release_date: Airdate.
  • guest_stars: Guest stars in the episode (if any).
  • director: Director of the episode.
  • writers: Writers of the episode.
  • has_guests: True/False column for whether the episode contained guest stars.
  • scaled_ratings: The ratings scaled from 0 (worst-reviewed) to 1 (best-reviewed).

What did we do:

  • Read in a csv file as a DateFrame.
  • Inspected the resulting DataFrame.
  • Generate a series of plots, increasing in complexity.
  • Used a combination of lists and for loops to generate a series of colors and sizea for our plot.
  • Explored additional customization options such as markers and plot labels.
  • Used our plot to explore an interesting data point.

    About


    Languages

    Language:Jupyter Notebook 100.0%