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Exploratory Data Analysis (EDA) : pre-planning an idea for a lesson
Do you get excited by unexpected discoveries in a dataset? The importance and techniques for exploring wild data effectively could become a lesson. Ideally language agnostic (R/Python) and activating the conceptual tasks after data cleaning and before (or complementing) existing lessons on Tidy Data or Reproducible Scientific Analysis. The outcome might be thoroughly exploring the shape of raw datasets before studying one anomaly, which might have been time saved if EDA were regularly practiced.
Where does the event happen? https://carpentries.zoom.us/my/carpentriesroom2?pwd=WmVCOUlPUm1laFk5SUp1UWg5cjhEUT09
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