My personal SQL DB which contain my movie watchlist was used to gather data, visualized using chatgpt
ihut on
Growth of movie genres? What? What even is this?
Thanks for the great job, ChatGPT.
Hazzat on
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.
dobraf on
Title is wrong. This isn’t showing growth over time, it should be “number of movies I’ve watched by genre by release year”
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.
DragonWS on
The order of the legend should match the order in the graph.
BenzMars on
tow ranges of same colors, order is not respect between graph and legend
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
hungry4danish on
OP thinks the only colors to exist are shades of red orange blue and green.
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.
err0rz on
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.
Cribsby_critter on
I don’t think animation should be a genre.
ChaoticGood3 on
The legend is super confusing.
LoBsTeRfOrK on
I don’t understand what I am looking at.
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.
but_a_smoky_mirror on
This color scheme is almost impossible to read
Nacroma on
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?
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.
mhuzzell on
Did a mantis shrimp make this? The colour coding feels impossible for my inferior human eyeballs.
19 Comments
My personal SQL DB which contain my movie watchlist was used to gather data, visualized using chatgpt
Growth of movie genres? What? What even is this?
Thanks for the great job, ChatGPT.
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.
Title is wrong. This isn’t showing growth over time, it should be “number of movies I’ve watched by genre by release year”
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.
The order of the legend should match the order in the graph.
tow ranges of same colors, order is not respect between graph and legend
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
OP thinks the only colors to exist are shades of red orange blue and green.
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.
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.
I don’t think animation should be a genre.
The legend is super confusing.
I don’t understand what I am looking at.
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.
This color scheme is almost impossible to read
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?
This data is not the most beautiful but it’s interesting you found it difficult to find time to watch movies in 2020.
Did a mantis shrimp make this? The colour coding feels impossible for my inferior human eyeballs.