Data analysis using R - Descriptive univariate statistics - Lecture 4 (Part 2)
Channel: Danny Arends
Date: 02/06/2021

Learn about basic descriptive univariate statistics (Mean, Median, Mode, Dispersion , etc) and univariate visualizations in the R programming language, one of the most important tools in data science.

This is a live-stream recording of the 50+ hour MSc and PhD lecture series: "Data analysis using the R language for statistical computing", given digitally during the Covid19 pandemic at the Humboldt University in Berlin organized and lectured by Dr Danny Arends. 

Lectures @ https://dannyarends.nl/lectures/
Programming Assignments and Answers @ https://dannyarends.nl/assignments/
Playlist: https://www.youtube.com/playlist?list=PLhR2Go-lh6X6ZJnN4WQScB4qjO4GYTO0S

00:00 Welcome back
00:22 Lecture overview
02:08 Some basic definitions
03:20 Different types of means
07:02 The Geometric mean
08:21 The Harmonic mean
10:19 Computing a mean using R
12:49 Median of a data vector
13:49 Mode of a data vector
14:58 Range of a data vector
15:54 Quantiles of a data vector
21:41 Variance of a data vector
29:35 Standard Deviation of a data vector
31:06 Outliers and Winsorizing of data
40:26 Skewness and Kurtosis of a data vector
48:11 Coffee Break: Cow gifs
56:20 Welcome back 
57:20 Testing normality assumptions using R
59:17 Basic R plot functions for univariate statistics

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