4 unique and useful ways of visualizing data in python

Let's start with the 3D plot:

Use cases:
Visualizing data in 3 dimensions
Comparing data points in 3 dimensions

The 3D plot does a great job at visualizing data points in 3 dimensions, you can also rotate and tilt such a 3D graph to look at it from different points of view.

Next up, the Word cloud:

Use cases:
Visualizing data in the form of words and sentences
Sentiment analysis

This will be useful for visualizing things like today's news headlines, tweets or twitter bios. A good example is this tutorial explaining how to create a word cloud of news headlines in python.

Now for The Sankey diagram:

Use cases:
Visualizing data flows and how different pieces of data distribute, and contribute to each other

This one is my personal favorite since this provides a simple and effective way of visualizing everyday things like: monthly expenses, finance management, resource management and more...

Last but not least, the Radar chart:

Use cases:
Visualizing characteristics and data based on data points in multiple dimensions

This one is a little hard to understand from the beginning, but once you get the hang of it, you'll see that it's very useful for visualizing and comparing data in multiple dimensions.

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