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Home Artificial Intelligence

The way to Make Extraordinarily Stunning Charts with Python | by Ari Joury, PhD | Dec, 2024

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December 16, 2024
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Understanding Convolutional Neural Networks (CNNs) By means of Excel

I Measured Neural Community Coaching Each 5 Steps for 10,000 Iterations


The typical information visualization nonetheless seems to be meh. Some tweaks can present a severe improve.

Ari Joury, PhD

Towards Data Science

With some easy tweaks you can also make your graphs look far more spectacular. Picture generated by Leonardo AI

Most graphs aren’t price . Irrespective of which trade you’re employed in, or what your seniority degree is — reality is that you simply possible come throughout loads of mediocre information visualizations in your work.

Good graphs convey residence a particular message, and so they do that quick. On the similar time, they’re visually interesting sufficient to ask the spectator to spend some extra time on them and deepen their understanding of the important thing message. Good graphs additionally convey the place they’re from — which firm or division — as a result of they communicate the identical visible language.

Dangerous graphs would possibly include loads of data, however they fail to get the important thing message throughout to the spectator. Both they’re attempting to indicate too many issues without delay, or they’re simply so unappealing visually that the spectator seems to be elsewhere earlier than having understood the message. The spectator has no concept who created a nasty graph except the creator tells them that it’s from them.

Most information scientists, analysts, and equally graph-creating professionals are sensible sufficient to determine how you can create a very good graph. The issue is that there’s by no means sufficient time to do it.

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