© 2017 Anaconda, Inc.

Taming the Python Data

Visualization Jungle

Peter Wang and James A. Bednar

© 2017 Anaconda, Inc.

Peter Wang

Chief Technical Officer,

Anaconda Inc.

James A. BednarSenior Solutions Architect,

Anaconda, Inc.

Your Speakers For Today

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Good news:

Lots of

choices!

(Adapted from

Jake VanderPlas)

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Bad news:

Lots of

choices!

• No way to

learn or even

try them all

• None solve

everything

• Few work well

together

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Let’s make

sense of

this corner

of the

jungle:

a few well-

supported

tools that

cover most

workflows

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Workflows we’ll discuss

1. Data exploration Learning from data

2. Report generation Sharing figures

3. Dashboards Deploying interactive apps

… most of what people use visualization for!

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1. Data exploration

Revealing data quickly and easily:

• Step 1: Jupyter notebook + Pandas

• Non-interactive plots:

pandas.plot(), seaborn, %matplotlib inline

• Interactive plots:

HoloViews + Bokeh + Datashader

See: anaconda.org/jbednar/exploring_data

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2. Report generationAfter uncovering meaningful patterns or features in a dataset, a typical next step

is to share your results in a report, publication, presentation, blog post, or web page. See: anaconda.org/jbednar/reporting

© 2017 Anaconda, Inc.

3. Dashboards

• Very often, exploration leads to a way of analyzing data, not a fixed set of plots.

• E.g. — these variables are important, this way of looking at the data is useful.

• Need to be able to build apps and dashboards to make it simpler to explore data, both for the original author and for others not using Python

See: https://github.com/pyviz/pyviz

© 2017 Anaconda, Inc.

Dashboard deployment

• Deploying visualizations is time-

consuming and difficult

• Anaconda Enterprise makes

deployment fast and easy

• With just one click you can

deploy a secure, scalable

visualization accessible by any

authorized person in your

organization

© 2017 Anaconda, Inc.

Summary

• Python has a rich and powerful visualization ecosystem

• There are now incredibly rich and easy to use tools for exploring data

• It’s simple to use use your results in reports and presentations

• You can even build powerful apps and dashboards without much additional

work

• It’s good practice to try out some unfamiliar tools well suited for your tasks

• It’s not as hard to get started as you might think!https://github.com/pyviz/pyviz

© 2017 Anaconda, Inc.

Next Steps

Download Anaconda Distributionwww.anaconda.com/download

Sign up for Anaconda Enterprise Trialgo.anaconda.com/test-drive-anaconda-enterprise-5

Contact Sales+1- (512) 776-1066 | sales@anaconda.com