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[37] Visualize Your Pandas Dataframe with Zero Effort with Lux (Doris Lee)
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## Upcoming Events
Join our Meetup group for more events!
Doris Lee: Visualize Your Pandas Dataframe with Zero Effort with Lux
Exploratory Data Analysis
## Key Links
## Resources
## Agenda
00:00 Reshama introduces Data Umbrella
05:15 Doris begins talk
06:43 Working with pandas
09:28 Lux
13:19 Data cleaning with lux (data manipulation + visualization without changing a line of your pandas code)
14:40 Steering analysis with intent
17:12 Quick inspection of 1-D series
18:58 Quick-and-dirty experimentation with visualizations
21:38 Some interesting findings
25:50 Exporting visualization insight to edit and share: from lux to altair or matplotlib
30:38 Always-on dataframe visualization beyond tables
31:28 Preserving Pandas functionalities
32:25 Steering recommendations based on user intent (Lux supports high-level intent language for specifying analysis interest)
33:15 Quick and dirty Experimentation of Vis
35:13 Seamless export for sharing and presentation
36:13 Open source adoption
37:04 Getting started with Lux, installation, etc.
38:40 Q: Does Lux work within RStudio environment?
39:22 Q: What preprocessing should we do on our dataframes before using lux
40:55 Q: What is Lux driven by under the hood? Is it NLP?
42:48 Q: What are the available idioms (intent) within Lux for data viz?
45:10 Q: How is Lux funded?
46:17 Q: Can beginners contribute to Lux open source project?
48:30 Q: Should we get used to these types of tools for information analysis?
50:58 Q: Can Lux produce box and whisker plots?
## Event
## About the Speaker
#eda #dataviz #pandas
Join our Meetup group for more events!
Doris Lee: Visualize Your Pandas Dataframe with Zero Effort with Lux
Exploratory Data Analysis
## Key Links
## Resources
## Agenda
00:00 Reshama introduces Data Umbrella
05:15 Doris begins talk
06:43 Working with pandas
09:28 Lux
13:19 Data cleaning with lux (data manipulation + visualization without changing a line of your pandas code)
14:40 Steering analysis with intent
17:12 Quick inspection of 1-D series
18:58 Quick-and-dirty experimentation with visualizations
21:38 Some interesting findings
25:50 Exporting visualization insight to edit and share: from lux to altair or matplotlib
30:38 Always-on dataframe visualization beyond tables
31:28 Preserving Pandas functionalities
32:25 Steering recommendations based on user intent (Lux supports high-level intent language for specifying analysis interest)
33:15 Quick and dirty Experimentation of Vis
35:13 Seamless export for sharing and presentation
36:13 Open source adoption
37:04 Getting started with Lux, installation, etc.
38:40 Q: Does Lux work within RStudio environment?
39:22 Q: What preprocessing should we do on our dataframes before using lux
40:55 Q: What is Lux driven by under the hood? Is it NLP?
42:48 Q: What are the available idioms (intent) within Lux for data viz?
45:10 Q: How is Lux funded?
46:17 Q: Can beginners contribute to Lux open source project?
48:30 Q: Should we get used to these types of tools for information analysis?
50:58 Q: Can Lux produce box and whisker plots?
## Event
## About the Speaker
#eda #dataviz #pandas
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