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Lux: Visualization for Data Science - Doris Lee | Stanford MLSys #55

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Episode 55 of the Stanford MLSys Seminar Series! Always-on Dataframe Visualizations with Lux Speaker: Doris Lee Abstract: 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 stars on GitHub. For more information, see: Bio: Doris Lee is the co-founder and CEO of Ponder. She graduated with her Ph.D. from the RISE Lab and School of

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