[OC] Wachstum der Filmgenres im Laufe der Zeit aus meiner persönlichen Film-Watchlist-Datenbank.

Von gamarala_in_distress

19 Comments

  1. gamarala_in_distress on

    My personal SQL DB which contain my movie watchlist was used to gather data, visualized using chatgpt

  2. Growth of movie genres? What? What even is this? 

    Thanks for the great job, ChatGPT. 

  3. The title should be more clear about what this data is. And 2024 (which I assume is the big dip at the end) shouldn’t be included as it’s an incomplete year and not comparable to the others.

  4. Title is wrong. This isn’t showing growth over time, it should be “number of movies I’ve watched by genre by release year”

  5. FreeTheDimple on

    It would be nice to see it normalised so that you can see the differences between the genres. Otherwise, all it really shows is a growth in the number of movies per year.

    Also, I doubt there were only 5 movies in 1989.

  6. tow ranges of same colors, order is not respect between graph and legend

  7. JustASadBubble on

    Why are the exact same colors used 3 times. Why isn’t the legend in the same order as they show up on the graph. Are all of the categories even counted? I only counted 16 on the graph

  8. hungry4danish on

    OP thinks the only colors to exist are shades of red orange blue and green.

  9. 7LeagueBoots on

    I kinda feel like superhero movies should get their own category. And there is a lot of overlap too… movies like *Avatar*, and many others, don’t fall neatly into one or another category.

  10. Personally, I think market share over time would be a more interesting and informative graphic to read

    The only clear trends here are “more movies get made now” and “pandemic happened”

    Edit:
    Also the drop at the end doesn’t have a date label, is that a partial year? Is it 2022/2023?

    Furthermore, the lack of “superhero” as a genre is probably a miss with modern Hollywood being as it is.

  11. El_Minadero on

    this is not beautiful data. this is a mess. 1. color scheme is horrible 2. data is not easy to understand. personally, I’d go with overlapping timeseries, not stacked colorfields.

  12. I already figured from posts here this is the movies that YOU have watched. But, did you watch more than 300 movies in 2023(?) or did you unwatch 120 movies in 2020 and rewatched them after?

  13. PanningForSalt on

    This data is not the most beautiful but it’s interesting you found it difficult to find time to watch movies in 2020.

  14. Did a mantis shrimp make this? The colour coding feels impossible for my inferior human eyeballs.

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