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Looking at Data (in Hindi)

Lesson 13 of 16 • 2 upvotes • 8:10mins

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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.

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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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