How wealthy is Jeff Bezos?

Clare Walsh 03/10/2022
The image shows a tiny block for the median earnings of $68,000 and the beginnings of a huge block for one billion.

A new visualisation tool uses the interactive power of online visualizations to demonstrate the size of the gap between the average person and the world’s super rich.

We are often not very good at comprehending very large numbers. In our daily life, we rarely encounter very big values, and certainly not in visual form. We can imagine the difference between a hundred and a thousand easily, and perhaps hundreds of thousands. Once we get beyond a million, it all becomes a word game.

The tool

A tool available on https://mkorostoff.github.io/1-pixel-wealth/ will help you to understand just how much wealth Jeff Bezos has accumulated compared to his average fellow citizen in the USA, a reference point that is already fairly privileged.

Using the functionality of the scroll bar, the tool helps to visually represent the median US household income of $68,000 as a block, compared to millionaires, billionaires and beyond. We bet your finger will get tired holding down the scroll bar before you get to the end of his personal block.

Learn more in our webinar on the Digital Markets Act

If you’re interested in learning how new legislation aims to bring the earnings of powerful data owners under control in Europe by watching our webinar on the Digital Markets Act.

Categories: Blog

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All IoA members can use the installation-free Data Camp environments to build, practice and test your skills in Data Camp. We have two custom built tracks to allow you to ensure your training is on course to fulfil your career goals. We’ve recommended two tracks of knowledge and analytics study aligned to all of the 7 first years in the Data Competency Framework.

Which Track is for me?

Business analyst with R: This track will take you through spreadsheet skills and BI tools in the early years, and build up your coding skills to use R environments in the later years with more challenging data projects.

Python analyst: This track goes straight into Python coding and will take you all the way to working with unstructured data and deep learning techniques.

Look for the track name and year when you search for a course.

With our custom tracks, we’ve selected the skills that we know employers are looking for but remember that you can also take any of the 300 courses and assessments and projects any time you want and add that to your CPD records, too. You can find a post discussing the aims and structure of the tracks here


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