Try Taipy with the simple augmented markdown syntax to streamline your coding process to build interactive visualizations in Python. Here it’s a Suicide Rate Analysis dashboard.

The story continues

After 2 previous parts introducing the Taipy package with:

• Part 1: Introducing a general idea of how Taipy GUI works and showing how different basic charts are created.
• Part 2: Applying more visual control elements

Suicide rate analysis dashboard

In this article, I will show you how to utilize what we know about Taipy GUI and take things to the next level. We’ll dig further into the data to find trends and insights that will help us comprehend this issue in a more detailed manner.

Get ready to watch how Taipy GUI speeds up our finished dashboard!

In this article

• The story continues…
• Purpose of This Dashboard
• Data Overview & Questions
• Visualization with Taipy
• A bit of introduction to Stylekit
• Global Analysis
• Relationship Analysis
• CSS Customization
• Key takeaways
• Last words

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