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Looking at Data (in Hindi)
Lesson 13 of 16 • 2 upvotes • 8:10mins
Rohit Kumar Singh
Whenever you're working with a new dataset, the first thing you should do is look at it! What is the format of the data? What are the dimensions? What are the variable names? How are the variables stored? Are there missing data? Are there any flaws in the data? This lesson will teach you how to answer these questions and more using R's built-in functions.
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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