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BEGIN:VEVENT
DTSTART:20190926T140000Z
DTEND:20190926T160000Z
DTSTAMP:20190926T000000Z
SUMMARY:Python for Data Science: Visualization with Altair
DESCRIPTION:While Python is my preferred programming language for scripted 
 data transformations\, I have avoided routinely doing data visualization in 
 Python. I could follow examples for the many Python visualization 
 libraries\, but in the end they all seemed confusing and made it hard to do 
 the types of exploratory visualization that Tableau made easy. Finally\, 
 Altair has emerged as a viable alternative for me\, because of the way it 
 "thinks about" data and the visualization process.\n\nAltair is a 
 declarative statistical visualization library for Python\, built on top of 
 the well-design and powerful Vega-Lite visualization grammar. (Vega-lite 
 was built for the web\, includes interaction\, and is being adopted as a 
 standard by high profile websites and tools.) It works well for small to 
 medium-sized tabular data (like spreadsheets). \n\nIn this workshop\, 
 I’ll run you through both some introductory and some more complex 
 examples using Altair with Python in Jupyter notebooks\, so you can get a 
 feeling for how you might use it in your own work. \n\nNote: This is an 
 introductory workshop on Altair\, but you’ll probably be more comfortable 
 following along if you have at least a little bit of experience using the 
 Python programming language\, since I won’t be spending time on the 
 language itself. (Feel free to sign up no matter what your experience 
 level\, but past students with no Python or programming experience have 
 found it too confusing to be useful.) The classroom in which this is held 
 has Windows computers with Python and Altair installed\, so you don't need 
 to bring a laptop.\n\nAltair web site: https://altair-viz.github.io/\nBlog 
 post\, “Why I’m backing Vega-Lite as our default tool for data 
 visualization”: 
 https://medium.com/@robin.linacre/why-im-backing-vega-lite-as-our-default-tool-for-data-visualisation-51c20970df39\n\nThe 
 content of the workshop may be recorded. Cameras will capture the 
 instructor station and the display screen. Ambient audio\, including verbal 
 audience  participation\, will be included on the recording. Registration 
 for the workshop indicates consent. If you are uncomfortable with a 
 recording being published please contact the instructor at anytime prior to 
 the conclusion of the workshop.
LOCATION:Bostock 023 Training Room\, West Campus
ORGANIZER;CN="Center for Data and Visualization Sciences":MAILTO:askdata@duke.edu
CATEGORIES:Data and Visualization
CONTACT;CN="Center for Data and Visualization Sciences":MAILTO:askdata@duke.edu
STATUS:CONFIRMED
UID:LibCal-5613098
URL:https://duke.libcal.com/event/5613098
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