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DTSTART:20251106T190000Z
DTEND:20251106T203000Z
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SUMMARY:Data Den: Introduction to Data Visualization with Datawrapper (hybrid)
DESCRIPTION:\n\nData visualization is a powerful way to communicate your 
 research. There are many data visualization tools available\, but knowing 
 how to design an effective chart or graph is just as important as knowing 
 how to use these tools. In this workshop\, we will review the basics of 
 data visualization and use Datawrapper\, a free and open-source tool\, to 
 create engaging visualizations while keeping accessibility and 
 reproducibility in mind. \n\n \n\nBy the end of this lesson\, workshop 
 attendees will: \n\n\n	\n	Learn different types of graphs/charts and the 
 best use cases for them \n	\n\n\n\n	\n	Learn the fundamentals of data 
 visualization design\, including the importance of position\, ordering\, 
 shape\, size\, and color \n	\n\n\n\n	\n	Incorporate principles of 
 accessibility\, reproducibility\, and data justice into their 
 visualizations \n	\n\n\n\n	\n	Use a sample dataset to make exploratory 
 visualizations using DataWrapper \n	\n\n\n \n\nThis workshop is offered 
 both in person and virtually. If you register to attend virtually\, you 
 will receive a Zoom link. If you register to attend in person\, please join 
 us in the Stone classroom\, room 103\, located in Mann Library. \n\n 
 \n\nInstructors:\n\nJo Klein\, Social Science Research and Spatial Data 
 Librarian\n\nKiran Mohammadi-Williams\, Collections as Data Librarian\, 
 Digital Scholarship Services\n\nGabby Evergreen\, Research Data Librarian\, 
 Research Data & Open Scholarship\n\nHelpers:\n\nLencia McKee\, Research 
 Data Librarian\, Research Data & Open Scholarship
LOCATION:Mann\, Stone Classroom (103)\, Mann Library
ORGANIZER;CN="Lencia McKee":MAILTO:lcb235@cornell.edu
CATEGORIES:Data Den, Research Data & Open Scholarship
CONTACT;CN="Lencia McKee":MAILTO:lcb235@cornell.edu
STATUS:CONFIRMED
UID:LibCal-14694179
URL:https://spaces.library.cornell.edu/calendar/CULworkshops/datadendatavis
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