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SUMMARY:Python for Data Science: Pandas 103 – groupby and aggregation
DESCRIPTION:[Online] Data exploration In Python using grouping and 
 aggregation. This is an intermediate-level\, live teaching session where 
 you will learn how to use the Pandas module for exploring tablular 
 (spreadsheet) data using the groupby() and pivot_table() functions\, as 
 well as some visualizations of results.\n\nPython can be a great option for 
 exploration\, analysis and visualization of tabular data\, such as 
 spreadsheets and CSV files\, if you know which tools to use and how to get 
 started. This workshop builds upon the introductory Pandas 101 & 102 
 workshops I gave in Spring 2022 & Fall 2022. (Code repository. See below 
 for recordings.) In Pandas 101\, I covered the very basics of how to access 
 your data in a Panda DataFrame and do some basic plotting. In Pandas 102\, 
 I introduced how to get data into a "tidy" form\, and merge datasets (like 
 doing an SQL JOIN). In this Pandas 103\, I will show you some of the way 
 you can explore patterns in data by aggretating across categories and time. 
 This is similar to the process of data exploration in Tableau\, but here 
 with Python\, Pandas and JupyterLab.\n\n\n	If you don't have any 
 programming experience\, or you have never used Python at all before\, the 
 material may be too confusing to be useful. I won't be teaching the 
 language itself. \n	If you have at least a little bit of Python exposure\, 
 but haven't used Pandas much or at all\, I would advise watching at least 
 the Spring 2020 Pandas 102 video before you attend. If you find that too 
 advanced\, or want a more complete introduction to Pandas\, start instead 
 with the Spring 2022 Pandas 101 video.\n\n\nExpectations: \n\n\n	You will 
 be expected to have your video on for at least part of the session\, 
 although we won't be doing any group work or sharing.\n	If you need help 
 with something during the session\, you'll be expected to share your 
 screen.\n	You will be expected to arrive with the Anaconda Python 
 distribution already installed on the machine you're Zooming from if you 
 want to work along with me or do the exercises during the 
 workshop!\n	\n		They now call this the Anaconda Individual Edition\, 
 available for Mac\, Windows\, or LInux\n		I would advise installing just 
 for yourself\, not for all users (installs in your Users directory\, and 
 doesn't need administrator priviledges)\n		I will hold open Zoom walk-in 
 hours for an hour before the workshop to help remotely troubleshoot 
 installation issues. Email me at emonson@duke.edu to get the 
 URL.\n	\n	\n\n\nThis event is offered virtually. A zoom link will be sent 
 via email to registered participants to join the workshop. \n\nThe content 
 of the workshop may be recorded. If you are uncomfortable with a recording 
 being published please contact the instructor at anytime prior to the 
 conclusion of the workshop.\n\nData Science\, Data Visualization
LOCATION:n/a
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-9994126
URL:https://duke.libcal.com/event/9994126
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