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Visualization

Pareto Chart 101: Visualizing the 80-20 Rule

Pareto chart abstracted

You've probably heard of the Pareto principle, even if you didn't realize it at the time. Here are a few examples:

  • 80% of web traffic comes from 20% of your site's pages.
  • 80% of customer complaints are caused by 20% of product defects.
  • 80% of revenue comes from 20% of your customers.
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Added Plotly Support Makes Mode Python Notebooks More Powerful

June 21, 2016 2 minute read

No matter how you're looking to present your data, there's a seemingly endless number of Python libraries and resources to use (check out ten of our favorites).

You may know Plotly as an easy-to-use online data visualization tool, but did you know they also offer a Python API so data scientists can use Plotly and Python together offline? We're excited to add Plotly to the growing list of supported libraries in Mode Python Notebooks.

With Plotly and Mode you can build beautiful, interactive data visualizations on top of a Python dataset and share it with teammates instantly.

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Nick Binder

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10 Python Data Visualization Libraries for Any Field

June 8, 2016 9 minute read

Scroll through the Python Package Index and you'll find libraries for practically every data visualization need—from GazeParser for eye movement research to pastalog for real-time visualizations of neural network training. And while many of these libraries are intensely focused on accomplishing a specific task, some can be used no matter what your field.

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Melissa Bierly

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