Lesson 6 of 16 • 3 upvotes • 5:35mins
In this lesson, you'll learn that missing values play an important role in statistics and data analysis. Often, missing values must not be ignored, but rather they should be carefully studied to see if there's an underlying pattern or cause for their missingness. The lesson will contain NA which stands for Not Available and acts as a placeholder for missing data. We will also look in NaN's which is Not a Number mostly used for undefined operations.
16 lessons • 2h 20m
Course Overview
2:34mins
Basic Building Blocks
9:44mins
Workspace and Files
8:23mins
Sequences and Numbers
6:12mins
Vectors
9:53mins
Missing Values
5:35mins
Subsetting Vectors
11:32mins
Matrices and Data Frames
8:19mins
Logic
9:39mins
Functions
11:36mins
Lapply and Sapply
9:05mins
Vapply and Tapply
9:08mins
Looking at Data
9:20mins
Simulation
9:49mins
Date and Time in R
8:31mins
Base Graphics
10:57mins