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Missing Values

Lesson 6 of 16 • 3 upvotes • 5:35mins

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Rohit Kumar Singh

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.

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1

Course Overview

2:34mins

2

Basic Building Blocks

9:44mins

3

Workspace and Files

8:23mins

4

Sequences and Numbers

6:12mins

5

Vectors

9:53mins

6

Missing Values

5:35mins

7

Subsetting Vectors

11:32mins

8

Matrices and Data Frames

8:19mins

9

Logic

9:39mins

10

Functions

11:36mins

11

Lapply and Sapply

9:05mins

12

Vapply and Tapply

9:08mins

13

Looking at Data

9:20mins

14

Simulation

9:49mins

15

Date and Time in R

8:31mins

16

Base Graphics

10:57mins

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