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Missing Values (in Hindi)
Lesson 6 of 16 • 3 upvotes • 7:14mins
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.
R Programming: Introductory Course in Data Science (Hindi)
16 lessons • 2h 26m
1
Course Overview (in Hindi)
5:00mins
2
Basic Building Blocks (in Hindi)
13:18mins
3
Workspace and Files (in Hindi)
8:48mins
4
Sequences and Numbers (in Hindi)
7:00mins
5
Vectors (in Hindi)
11:00mins
6
Missing Values (in Hindi)
7:14mins
7
Subsetting Vectors
9:02mins
8
Matrices and Data Frames (in Hindi)
8:09mins
9
Logic (in Hindi)
9:55mins
10
Functions (in Hindi)
10:28mins
11
Lapply and Sapply (in Hindi)
9:10mins
12
Vapply and Tapply (in Hindi)
7:11mins
13
Looking at Data (in Hindi)
8:10mins
14
Simulation (in Hindi)
12:02mins
15
Date and Time (in Hindi)
8:27mins
16
Base Graphics (in Hindi)
11:37mins
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