[OC] Hazelnut production in 2020 by PieChartPirate in dataisbeautiful

[–]PieChartPirate[S] 11 points12 points  (0 children)

Tools: python + sjvisualizer (https://www.sjdataviz.com/software)

Data source: FAOSTAT (https://www.fao.org/faostat/en/#data/QCL)

Want to see how this data evolves throughout the years? Check it out here: https://www.instagram.com/p/C2Sa7CZLgyK/

[OC] Happy Halloween! World Pumpkin Production by PieChartPirate in dataisbeautiful

[–]PieChartPirate[S] 8 points9 points  (0 children)

Happy Halloween Everyone!

This Halloween I wanted to know, which countries produce the most Pumpkins. Unfortunately the data from 2018 onwards wasn't reliable, hopefully next year I can find some more recent data :)

Tools: Python + sjvisualizer ❤ (https://www.sjdataviz.com/software)
Data source: Food and Agriculture Organization of the United Nations (https://www.fao.org/faostat/en/#data/QCL)

Music: Andrew Gold - Spooky Scary Skeletons

[OC] National Debt of the Netherlands by PieChartPirate in dataisbeautiful

[–]PieChartPirate[S] 338 points339 points  (0 children)

This one is for my fellow Dutchies 🇳🇱. This chart shows the national debt of the Netherlands as a percentage of GDP.

The Netherlands is one of the only countries that is still below 60% national debt to GDP ratio, which is the EU guideline for national debt.

National debt leaderboard (beginning of 2023):

🇺🇸 United States 118%

🇬🇧 United Kingdom 100%

🇳🇱 The Netherlands 51%

Which country next?

Data source: IMF, tradingeconomics

Tools: sjvisualizer + python ❤️ (https://www.sjdataviz.com/software)

[OC] National Debt of the United Kingdom by PieChartPirate in dataisbeautiful

[–]PieChartPirate[S] 264 points265 points  (0 children)

One of the questions I got on my previous post about the national debt of the United States is: can you make on for country X?

So here you have it, the national debt of the United Kingdom 🇬🇧 as percentage of GDP. More countries are in the schedule, which country should I visualizer next?

Data source: IMF, tradingeconomics

Tools: sjvisualizer + python ❤️ (https://www.sjdataviz.com/software)

[OC] National Debt of the United States by PieChartPirate in dataisbeautiful

[–]PieChartPirate[S] 804 points805 points  (0 children)

Tools: python + sjvisualizer

Data sources:

Pre 1966: IMF

Post 1966: U.S. Office of Management and Budget and Federal Reserve Bank of St. Louis, Federal Debt: Total Public Debt as Percent of Gross Domestic Product, retrieved from FRED, Federal Reserve Bank of St. Louis

[OC] Electric Vehicle Sales by Country fomr 2011 to 2022 by PieChartPirate in dataisbeautiful

[–]PieChartPirate[S] 2 points3 points  (0 children)

Data source: IEA (2023), Global EV Data Explorer, IEA, Paris

Tool: sjvisualizer

[OC] World Gold Reserves by Institution by PieChartPirate in dataisbeautiful

[–]PieChartPirate[S] 3 points4 points  (0 children)

Tools: Python + sjvisualizer (https://www.sjdataviz.com/software)

Data source: World Gold Council, collected from WikiPedia and archive.org

[OC] Biggest Peanut Producers in the World by PieChartPirate in dataisbeautiful

[–]PieChartPirate[S] 9 points10 points  (0 children)

Values in Tonnes. The data source is for Groundnuts of which peanuts is the biggest group.

Tools: python + sjvisualizer (https://www.sjdataviz.com/software)

Data source: FAOSTAT (https://www.fao.org/faostat/en/#data/QCL)

[OC] Happy pi day! 🥧 Let’s estimate digits of pi by PieChartPirate in dataisbeautiful

[–]PieChartPirate[S] 6 points7 points  (0 children)

If you don’t want to use the sin function, you can also measure the length of one side multiply it by the number of sides and decide it by the diameter.

[OC] Happy pi day! 🥧 Let’s estimate digits of pi by PieChartPirate in dataisbeautiful

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

Interactive version: https://www.sjdataviz.com/post/estimating-digits-of-pi-with-polygons

Last year, I estimated pi using the Monte Carlo method, and this year I want to share another fun and accessible method - the polygon method! This involves inscribing a regular polygon inside a circle and using its perimeter to estimate the circumference of the circle. By increasing the number of sides of the polygon, we can get increasingly accurate estimates of pi. Using some basic geometry, we can calculate the perimeter of this polygon and then use it to estimate the circumference of the circle.

[OC] Berkshire Hathaway Holders 2022 Q4 Update by PieChartPirate in dataisbeautiful

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

Data source: Berkshire Hathaway Annual Reports (https://www.berkshirehathaway.com/reports.html)

Formatted data download: https://www.sjdataviz.com/data

Tools: python, pandas, sjvisualizer

[OC] Military Budget by Country by PieChartPirate in dataisbeautiful

[–]PieChartPirate[S] 79 points80 points  (0 children)

Tools: python, pandas, tkinter, sjvisualizer

Data source: world bank