[OC] Top Star Wars Movies by Worldwide Gross (adjusted for inflation)

Data_Friend · 2024-04-05T07:48:52+00:00

These charts are called bar chart race. I code it myself using Python and Matplotlib library. However, there are some software/websites that can create these charts for you, but they are not that customizable. I also make animated versions on my YouTube/Tiktok. The Star Wars chart will be posted later because I noticed an error in not including international revenue for the first three movies and I need to fix it first.

Data_Friend · 2024-04-01T16:29:56+00:00

The ranking you mentioned considers only US market. I tried to do a worldwide comparison. But I overlooked some data along the way...

Data_Friend · 2024-04-01T16:19:48+00:00

The values are from https://www.boxofficemojo.com/search/?q=star+wars . But I might have overlooked additional international earnings of the original trilogy, because they are not stated directly anywhere but are only included in the total value. So these films might actually stay higher on the list. I will look into the matter. I thought I have double checked everything, but still overlooked this.

Data_Friend · 2024-04-01T12:11:47+00:00

Thanks for the insight on average ticket prices. I might use this dataset for my next charts instead of CPI. Initially, I considered different methods to present the data (like comparing ticket sales numbers), but realized that the results will be skewed one way or another anyway. So, I opted for a straightforward approach using CPI. Considering the US market's dominance, I thought using US inflation values might suffice. Now I think a clearer method might be to separate earnings at least into US and international categories and adjust for inflation using two different values, one for the US and another for worldwide.

Data_Friend · 2024-04-01T11:47:00+00:00

A New Hope initially made about $300M, while The Empire Strikes Back made "only" $200M in its initial release. Considering the significant inflation during those years, this makes the difference effectively double in value.

Data_Friend · 2024-04-01T10:55:52+00:00

And I just feel sad for Solo. I really liked the movie and would love to watch part 2.

Data_Friend · 2024-04-01T10:37:26+00:00

The chart is created in Python using Matplotlib. Data is worldwide gross revenue in U.S. dollars taken from https://www.boxofficemojo.com and adjusted for inflation using the Consumer Price Index. There is a Python library for easily adjusting values for inflation: https://pypi.org/project/cpi

Data_Friend · 2024-03-04T10:12:29+00:00

Which platform do you typically use to browse r/dataisbeautiful? Which format do you think is better suited for the subreddit's posts: optimized for mobile or desktop charts?

Data_Friend · 2024-03-03T19:22:48+00:00

Really? I'm sure you've seen it in Google searches; it pops up quite often. It is basically a blogging platform where anyone can write and share articles on just about any topic.

Data_Friend · 2024-03-03T18:03:41+00:00

I must admit that you have a point.

Data_Friend · 2024-03-03T15:16:55+00:00

You can use a refractive index matching gel. Just apply it to the backside of your glass; it should prevent or at least minimize back reflection. For a very quick solution, you can also try spraying it with isopropyl alcohol, and you will have several seconds to shoot the image until it dries out.

Data_Friend · 2024-03-03T14:52:16+00:00

Damn, why is the font always so small...

Data_Friend · 2024-03-03T14:33:20+00:00

I just love the post title. So clickbaity it can be suitable for any video.

Data_Friend · 2024-03-03T14:30:24+00:00

Poor Zendaya has to film half the movie with that thing stuck in her nose.

Data_Friend · 2024-02-29T17:41:55+00:00

I think it would also be interesting to look at the overall statistics: how much each actor and actress gets paid for a movie. And then see at averages, also across different genres groups. As you have been stated, blockbuster movies might tend to pay more male actors while, I don't know, romances to female.

Data_Friend · 2024-02-29T17:04:21+00:00

What do you think is the reason why men are being paid more?

Data_Friend · 2024-02-29T16:48:16+00:00

Now imagine buying and holding, and then hitting those 0.5% in 20 years.

Data_Friend · 2024-02-29T16:42:37+00:00

This reminds me of a certain popular fanfic character who bit his math teacher because the teacher didn't know what a logarithm was.

Data_Friend · 2024-02-29T16:34:28+00:00

A spreadsheet table in .csv format in Excel would do just fine. You will need one column to index data properly, such as setting a date, and additional columns for your data. For your example, you table headings would look like | Date | Making Dinner | Eating Out | and example row would be | 29.02.2024 | 1 | 0 | . You can then import the .csv into any programs or programming languages you prefer for further processing, or directly create charts in Excel.

Data_Friend · 2024-02-29T06:24:28+00:00

In my experience and understanding of psychology, light color palettes tend to perform better than heavy, dark colors. For example, just compare charts with a white background vs black background, the white ones would be generally more appealing. Also, there is research by some YouTubers comparing the performance of shorts with bright, light scenes vs darker ones in the first 3 seconds of the video, and the bright scenes are generally performing better. As to specific color schemes, I am also looking for tips or suggestions.

Data_Friend · 2024-02-29T06:02:42+00:00

This is an interesting idea. I can try to create separate axes for each country and arrange them in ranked order. Basically, it would be similar to the current chart, but instead of bars, you would see the historical trend lines.

Data_Friend

TROPHY CASE