Data Source used was from Kaggle IMDB Dataset of All Christmas Movies 2016-2022: https://www.kaggle.com/datasets/adityak957/imdb-christmas-movies-from-20162022?resource=download

Tools Used: Python, Pandas Library, Plotly Express

Would love to hear feedback or any questions you have.

Also something I found funny was that the movie with the lowest star ratings in the data set was An Unremarkable Christmas. Fitting name for the movie that is tied for the lowest star rating on IMDB between the years 2016-2022

Glancing at the graph implies a huge dip until you realize the axis starts at 5.5 and it's only a minor dip. Damn misleading graphs lol

Misleading graphs (Clipped Range) aren't beautiful.

Sorry about that. That was how python automatically formatted it when it got graphed so that was how I left it. There definitely still is a decline overall in the average rating of Christmas movies though in the graph. Would it have been better to show a range from 0-10 on the side? I feel like it would be difficult to view the differences between each year if I had changed the range to that but I would love to hear your suggestions.

You knew what you were doing

Sorry this is my first time posting and I'm a beginner with data science. That was how the python library automatically formatted it when I calculated and graphed the mean for each year so that was how I left it. Would it have been better to show a range from 0-10 on the side? I feel like it would be difficult to view the differences between each year if I had changed the range to that but I would love to hear your suggestions.

If the ratings are from 1-10 then that should be the range of the graph. If that means you can't really see a big difference between years...then there's not a big difference between years.

Might also be interesting to graph both the average and median scores

Well, yes, it would be hard to see the difference in the full 1-10 range. But that would accurately reflect the small change in that full context. If you really think it's important to show that detail though, then I would say that you should include both graphs and indicate that one is a cropped and zoomed detail from the other.

You only went back to 2016?

Isn't that the same trend for all movies? Huge loss of output and connection with audiences over the last few years.

That was as far as the data set went. it's from Kaggle. I didn't create the data set myself else I would have gone farther to see if I could see any larger/more apparent trends in the data.

Would also like to see the number of movies released on a 2nd axis in appropriately festive shades.

Hey I just wanted to say thank you for the advice and help. I re-graphed it with the y axis range being 0-10 and with the median and mean lines on it. I apologize for the poor initially graph as graphing it this way shows that it really isn't as drastic as a change as a cursory glance would indicate. I also graphed all the movies as a dot plot to see if there where very much of a discernible trend there. Here is the graphs that I made if your interested. https://imgur.com/a/PWOJHua

Thank you for your advice. I re-graphed the original graphs and included a median line along with the mean line across the graph. Here is the link to it if your interested. https://imgur.com/a/PWOJHua

Due to peoples suggestions I have remade the graph adjusting the y axis range to 0 to 10 and also including a median line along with the mean line. I also graphed a dot plot of each individual star rating of the movies by year. Attached here are the graphs: https://imgur.com/a/PWOJHua

Thank you all for the advice and helping me improve.

Or, alternatively, movies' ratings tick up over time, in the years after their release.

That would be a better chart. A comparison of all movie reviews versus Christmas themed movies.

I would like to see a fifth order polynomial plot of the future trajectory of the reviews if all production was moved to Idaho

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Now plot it with the increased production of Christmas movies!

Talk about misleading graphs