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SUMMARY: Exploratory Data Analysis (EDA) : pre-planning an idea for a less
 on
DTSTART;VALUE=DATE-TIME:20260115T160000Z
DTEND;VALUE=DATE-TIME:20260115T170000Z
UID:293580044660
DESCRIPTION:Host: Jennifer AW Stubbs Do you get excited by unexpected disc
 overies in a dataset? The importance and techniques for exploring wild dat
 a effectively could become a lesson. Ideally language agnostic (R/Python) 
 and activating the conceptual tasks after data cleaning and before (or com
 plementing) existing lessons on Tidy Data or Reproducible Scientific Analy
 sis. The outcome might be thoroughly exploring the shape of raw datasets b
 efore studying one anomaly\, which might have been time saved if EDA were 
 regularly practiced.This is a Community Session.Instructor trainees can at
 tend this event as part of their checkout requirements ('Get Involved' ste
 p).  This event is also open to our general community members who want to 
 learn more about The Carpentries.Please sign up to attend on Pretix:  http
 s://pretix.carpentries.org/community-events/community-sessions/The event w
 ill be in this zoom room: https://carpentries.zoom.us/my/carpentriesroom2?
 pwd=WmVCOUlPUm1laFk5SUp1UWg5cjhEUT09.  The password to this zoom room is 2
 02020
LOCATION:https://carpentries.zoom.us/my/carpentriesroom2?pwd=WmVCOUlPUm1la
 Fk5SUp1UWg5cjhEUT09
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