不良研究所

Date: Wednesday, 15 February 2023.
Time: 12:30 p.m. to 2:30 p.m.
Location: hybrid (in-person at Burnside Hall 1104, and online via Zoom).
Instructor: , PhD student, Dept. of Biology, Faculty of Science, 不良研究所.

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Overview: Exploratory Data Analysis (EDA) is used to perform an initial analysis of your data in order to get a feel for the variables involved and whether your data entails certain patterns.

At the end of this workshop, you will be able to
> use different visualization tools to analyze distributions and correlations
> know and apply different ways to treat missing data
> apply classification and standardization methods

Prerequisites:
路 Introductory knowledge of R, e.g. from Introduction to programming in R workshop, or from 不良研究所's R summer camp.

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