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Hands-on Tutorial
How to Create Interactive Data Visualization in Plotly Like a Pro
Introduction to Plotly and how to master it in less than 30 minutes — case study using bar plot
In this short article, we will talk about plotly, one of the packages in Python to make a creation of interactive data visualization. Unlike the other packages, like matplotlib, seaborn, or plotnine, this package can make our analysis looks great using animation and dynamic filtering.
After you read and practice using this tutorial, you will understand the basic formula and how to manage the visualization in a proper way using plotly. This tutorial doesn’t cover all the elements in plotly but it will be great as the foundation of your journey using plotly.
Good luck! Let’s scroll down.
Introduction to Plotly
Plotly is an interactive graphing package for Python. Using plotly, you can easily look into your visualization, and explore any trends, insights, or outliers just with a mouse. It has several exciting features & advantages that make it useful for an analyst, they are as follows.
- Control buttons to navigate the visualization. It contains buttons to download a visualization, zoom…
