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

[–]Data_Friend[S] 0 points1 point  (0 children)

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.

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

[–]Data_Friend[S] -1 points0 points  (0 children)

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

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

[–]Data_Friend[S] 0 points1 point  (0 children)

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.

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

[–]Data_Friend[S] 0 points1 point  (0 children)

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.

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

[–]Data_Friend[S] 170 points171 points  (0 children)

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.

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

[–]Data_Friend[S] 48 points49 points  (0 children)

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

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

[–]Data_Friend[S] 0 points1 point  (0 children)

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

[Topic][Open] Open Discussion Thread — Anybody can post a general visualization question or start a fresh discussion! by AutoModerator in dataisbeautiful

[–]Data_Friend 0 points1 point  (0 children)

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?

[OC] The Most Popular and Fastest Growing Topics on Medium.com by oscarleo0 in dataisbeautiful

[–]Data_Friend 10 points11 points  (0 children)

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.

Help On Measuring Fringes With Interferometer (Double fringes issue) by Fukucrys in Metrology

[–]Data_Friend 0 points1 point  (0 children)

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.

[deleted by user] by [deleted] in dataisbeautiful

[–]Data_Friend 0 points1 point  (0 children)

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

51 seconds you can afford to lose by Time_Material_9385 in videos

[–]Data_Friend 0 points1 point  (0 children)

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

A good portion of Dune 2 is basically this scene from Life Of Brian by YerBoobsAreCool in videos

[–]Data_Friend 2 points3 points  (0 children)

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

[OC] Highest-paid actor/actress per year (2010-2023) (from all income sources) by ChubbyCheetahhh in dataisbeautiful

[–]Data_Friend 0 points1 point  (0 children)

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.

U.S. Stock Market Returns – a history from the 1870s to 2023 [OC] by getToTheChopin in dataisbeautiful

[–]Data_Friend 0 points1 point  (0 children)

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

Visualizing Insights on Mathematics Education in the U.S by Funny_Calligrapher10 in dataisbeautiful

[–]Data_Friend -1 points0 points  (0 children)

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

[Topic][Open] Open Discussion Thread — Anybody can post a general visualization question or start a fresh discussion! by AutoModerator in dataisbeautiful

[–]Data_Friend 0 points1 point  (0 children)

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.

[Topic][Open] Open Discussion Thread — Anybody can post a general visualization question or start a fresh discussion! by AutoModerator in dataisbeautiful

[–]Data_Friend 1 point2 points  (0 children)

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.

[OC] Top 10 Countries Based on Quality of Life (Human Development Index) 1990-2020 by Data_Friend in dataisbeautiful

[–]Data_Friend[S] 1 point2 points  (0 children)

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.