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The Data Science In Snap! (DASIS) library allows students without prior programming experience to learn and explore Data Science Principles. The DASIS library brings new functionality to Snap! with support for data tables and visualization. DASIS is featured in a new series of online modules located at https://cs10.org/bjc-r/course/berkeley_bjds.html?, which contain interactive material for students to use and explore as they learn about Data Science in Snap!. This talk will showcase the main features of the DASIS library, including: data importation from a data file, table creation, basic table manipulation, and customizable data visualization. It will also showcase the 4 online modules available on the internet via BJC's website. This work is supported by the NSF funded Foundations of Data Science Institute (FODSI).

Duration:
20 min
Room:
Room 2
Conference:
Snap!Con 2022
Type:
Talk