2/17/22 #55 Doris Lee - Visualization for Data Science

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Stanford MLSys Seminar

Dan Fu, Karan Goel, Fiodar Kazhamakia, Piero Molino, Matei Zaharia, Chris Ré

24 episodes

4 days ago

Machine learning is driving exciting changes and progress in computing. What does the ubiquity of machine learning mean for how people build and deploy systems and applications? What challenges does industry face when deploying machine learning systems in the real world, and how can academia rise to meet those challenges? Updates every Monday and Friday - old episodes on Mondays, new episodes on Fridays! Check out our website and your YouTube channel for full videos! https://mlsys.stanford.edu/ https://www.youtube.com/channel/UCzz6ructab1U44QPI3HpZEQ

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2/17/22 #55 Doris Lee - Visualization for Data Science

Stanford MLSys Seminar

58 minutes 42 seconds

3 years ago

2/17/22 #55 Doris Lee - Visualization for Data Science

Doris Lee - Always-on Dataframe Visualizations with Lux

Visualizations help data scientists discover trends, patterns, identify outliers, and derive insights from their data. However, existing visualization libraries in Python require users to write a substantial amount of code for plotting even a single visualization, often hindering the flow of data exploration. In this talk, you will learn about Lux, a lightweight visualization tool on top of pandas dataframes. Lux recommends visualizations for free to users as they explore their data within a Jupyter notebook without the need to write additional code. Lux is used by data scientists across a variety of industries and sectors and has nearly 66k total downloads and over 3.3k stars on GitHub. For more information, see: https://github.com/lux-org/lux.