Central government debt around the world over the last 20 years. Central government debt is a measure of a country’s financial position.
A weekly series of quick random charts made in Python 🐍
Fastest Growing Occupations for the next 10 years
Total employment in the US is projected to grow from 153.5 million to 165.4 million over the 2020–30 decade, an increase of 11.9 million jobs, according to the U.S. Bureau of Labor Statistics projections.
A weekly series of quick random charts made in Python 🐍
Surging Aluminium Price
Guinea is only the latest factor behind the surging aluminium price. So far this year it has shot up by around 40%, faster than that of any other highly traded metal.
A weekly series of quick random charts made in Python 🐍
Global Crypto Adoption Index
Emerging markets are fertile ground for cryptocurrencies, often because their own are failing to do their job.
A weekly series of quick random charts made in Python 🐍
Growing and Declining Chain Stores in Great Britain
Data shows strong evidence of changing shopping behaviour and the shift to online. Fashion retailers recorded the biggest decline with more than 1000 stores closed in the first half of 2021.
A weekly series of quick random charts made in Python 🐍
Random Tip
How to see all the fonts ✏️ available for your matplotlib plots 📊?
Tim Cook the most successful CEO
A weekly series of quick random charts made in Python 🐍
Chart of the Week
A weekly series of quick random charts made in Python 🐍
Loose Stones
Whatever the work is, do it well -not for the boos but for yourself.
The Perfect Valentine
Nothing says I love you like a 3D heart made with Python. You only need numpy, pandas, and Plotly.