Visualizing Data Using Stata

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Najib Mozahem

3:44:34

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1.Introduction to the Dataset

01.Overview of the course.mp4

01:33

02.The dataset.mp4

07:26

03.Conclusion.mp4

03:30

2.Univariate Data - Part 1

04.Introduction.mp4

01:29

05.Histograms.mp4

13:09

06.Symmetry and Quantile plots.mp4

16:30

07.Box plots.mp4

08:55

08.Conclusion.mp4

01:36

3.Univariate Data - Part 2

09.Introduction.mp4

01:45

10.Histograms.mp4

12:31

11.Quantile-quantile plots.mp4

09:10

12.Box plots.mp4

05:21

13.Bar graphs.mp4

04:17

14.Dot plots.mp4

02:08

15.Conclusion.mp4

01:13

4.Univariate Data - Part 3

16.Introduction.mp4

01:22

17.Box plots.mp4

07:35

18.Bar graphs.mp4

04:47

19.Dot plots.mp4

04:41

20.Conclusion.mp4

01:21

5.Customizing the Look and Feel of Univariate Data Graphs

21.Introduction.mp4

01:07

22.Titles, fonts, and legends.mp4

14:53

23.Schemes.mp4

06:47

24.Box plots.mp4

11:48

25.Bar graphs.mp4

05:01

26.Dot plots.mp4

06:27

27.Conclusion.mp4

00:49

6.Bivariate Data - Part 1

28.Introduction.mp4

01:10

29.Quantile-quantile plots.mp4

05:27

30.Scatter plots.mp4

08:34

31.Median-splines.mp4

08:54

32.Parametric fits - linear, quadratic, and polynomial.mp4

10:01

33.Conclusion.mp4

01:13

7.Bivariate Data - Part 2

34.Introduction.mp4

01:03

35.Revisiting bar graphs, box plots, and dot plots.mp4

11:04

36.Using the if qualifier with the twoway command.mp4

11:17

37.Customizing the look with the twoway command.mp4

06:58

38.Conclusion.mp4

01:42

Description

This course introduces you to the graphical capabilities of Stata. It is designed to guide you through the logic of extracting meaning from datasets using visualization tools. This is accomplished by using a single dataset from the start of the course up until the very end.

You will get up to speed with histograms, quantile plots, and symmetry plots, and even understand how to use these tools to investigate whether group differences exist. The course then introduces you to bar graphs, box plots, and dot plots, and demonstrates how these graphs can be used to study differences in groups that are divided along more than one dimension. You will later learn how to decide which type of plot is best suited for your needs. Finally, the course will get you hands-on with producing graphs that describe the relationship between two variables. All along, you will explore how to customize the colors and shapes used in the graphs.

By the end of this course, you will have learned how to effectively visualize data using Stata.

All the codes and supporting files for this course will be available at- https://github.com/PacktPublishing/Visualizing-Data-Using-Stata

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Data Visualization

Stata

Najib Mozahem

Instructor's Courses

Najib Mozahem works as a researcher and as an assistant professor at the university level, where he teaches Quantitative Analysis. He holds a Bachelor’s degree in Computer and Communication Engineering, completed his MBA with distinction, and completed his Ph.D. in Organizational Theory where he won the best thesis prize for Ph.D. He has also received the teaching excellence award for the year 2016 – 2017. His research interests include quantitative modeling and the study of human behavior in organizations.

PacktPub

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Packt is a publishing company founded in 2003 headquartered in Birmingham, UK, with offices in Mumbai, India. Packt primarily publishes print and electronic books and videos relating to information technology, including programming, web design, data analysis and hardware.