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It’s 2019 — Make Your Data Visualizations Interactive with Plotly
Find the path to make awesome figures quickly with Express and Cufflinks
If you’re still using Matplotlib to make data visualizations in Python, it’s time to check out the view from an interactive visualization library.
Plotly allows you to make beautiful, interactive, exportable figures in just a few lines of code.
However, without a map, the the path up Mt. Plotly 🗻 can be slow and frustrating.
Here are the stumbling blocks that hold back the adventurous as they are trying to make their way:
- confusing initial setup to work offline without an account
- lines and lines of code to write
- out-of-date documentation
- a plethora of different Plotly tools that are hard to keep straight (Dash, Express, Chart Studio, and Cufflinks)
After several starts up the trail, I’ve found the map, the gear, and the quick route to the top. In this article I’ll lead you up the mountain by showing you how to get started offline, how to make…