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On the aspect of my full-time job because the CEO of a small machine-learning firm, my pastime is creating lovely knowledge visualizations.
I often try this utilizing Matplotlib, however I wished to create a extra interactive expertise this time.
Since I get pleasure from net improvement and design, I made a decision to create a React utility for the Population Estimates And Projections dataset from the World Financial institution.
It’s an interesting dataset the place you’ll be able to take a look at inhabitants pyramids for all international locations and areas from 1960 to 2022, together with projections to 2050. It’s licensed beneath Inventive Commons Attribution 4.0.
It’s additionally a dataset effectively fitted to an interactive interface the place folks can change years and areas shortly.
On this story, I’ll share insights from my work and what I realized.
If you wish to check the answer, yow will discover it right here: https://datawonder.io/population-pyramids
Let’s get began.
I wished to create a easy and quick backend that serves knowledge to the entrance finish with out doing any time-consuming preprocessing.
As a substitute, my thought was to do all the information forward of time and cargo all of it into reminiscence when the purposes begin.
The World Financial institution knowledge all the time have a set of indicators, and those I need have the next format:
Inhabitants ages <age-group>, <gender>
There are 17 age teams starting from 0–4 and 80+. Every indicator has a separate column for yearly, like within the pandas knowledge body beneath.
Since I knew precisely what components of the information I wanted and didn’t need to do any filtering or different operations…
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