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VERSION:2.0
PRODID:-//Research Infrastructure Services//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
UID:7289-0
SUMMARY:Data Cleaning with Python
DTSTART:20270208T200000Z
DTEND:20270208T220000Z
DTSTAMP:20260105T153338Z
LAST-MODIFIED:20261103T162604Z
SEQUENCE:0
DESCRIPTION:\nData can be messy. Researchers commonly lament the amount of time spent preparing data before any analysis can take place. Potential steps for preparing or “cleaning” data include changing data types\, adjusting values for consistency and validation\, splitting or joining values\, and removing extraneous records\, to name a few. This workshop will cover some common data-cleaning steps using Python and the Pandas library. Basic knowledge of Python syntax is recommended.\n\n\n\nFree and open to all\; registration required for the Zoom link.\n\n\n\n📍John M. Olin Library\, Instruction Room 2 & Zoom\n\n\n\n\nRegister Here\n\n
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