Visualizing data using Stata
Visualizing data using Stata, available at $44.99, has an average rating of 4.85, with 38 lectures, based on 62 reviews, and has 2928 subscribers.
You will learn about Look at the distribution of variables Investigate whether the distribution of a variable is symmetric or whether it follows a normal distribution Visualize group differences in a single variable Visualize group differences when more than one group division is involved Produce graphs that help us understand the associations between two variables Customize how the graphs look This course is ideal for individuals who are Beginner Stata users wanting to learn how to produce attractive and efficient graphs It is particularly useful for Beginner Stata users wanting to learn how to produce attractive and efficient graphs.
Enroll now: Visualizing data using Stata
Summary
Title: Visualizing data using Stata
Price: $44.99
Average Rating: 4.85
Number of Lectures: 38
Number of Published Lectures: 38
Number of Curriculum Items: 38
Number of Published Curriculum Objects: 38
Original Price: $22.99
Quality Status: approved
Status: Live
What You Will Learn
- Look at the distribution of variables
- Investigate whether the distribution of a variable is symmetric or whether it follows a normal distribution
- Visualize group differences in a single variable
- Visualize group differences when more than one group division is involved
- Produce graphs that help us understand the associations between two variables
- Customize how the graphs look
Who Should Attend
- Beginner Stata users wanting to learn how to produce attractive and efficient graphs
Target Audiences
- Beginner Stata users wanting to learn how to produce attractive and efficient graphs
This course introduces the student to the graphical capabilities of Stata. The course assumes only basic knowledge of data management in Stata. The student should be familiar with the graphical user interface, as well as with loading data sets into memory. The goal of this course is to teach the student the logic of extracting meaning from data sets using visualization tools. This is accomplished by using a single data set from the start of the course up until the very end. Students will learn how to use histograms, quantile plots, and symmetry plots. In addition, students will also learn how to use these tools in order to investigate whether group differences exist. The course then introduces students to bar graphs, box plots, and dot plots, and how these graphs can be used to study differences in groups that are divided along more than one dimension. Finally, the course shows students how to produce graphs that describe the relationship between two variables. Students are taught how to decide which type of plot is best suited for their needs. Throughout the course, students will also learn how to customize the colors and shapes used in the graphs.
Course Curriculum
Chapter 1: Introduction to the Dataset
Lecture 1: Overview of the course
Lecture 2: The dataset
Lecture 3: Conclusion
Chapter 2: Univariate Data – Part 1
Lecture 1: Introduction
Lecture 2: Histograms
Lecture 3: Symmetry and Quantile plots
Lecture 4: Box plots
Lecture 5: Conclusion
Chapter 3: Univariate Data – Part 2
Lecture 1: Introduction
Lecture 2: Histograms
Lecture 3: Quantile-quantile plots
Lecture 4: Box plots
Lecture 5: Bar graphs
Lecture 6: Dot plots
Lecture 7: Conclusion
Chapter 4: Univariate Data – Part 3
Lecture 1: Introduction
Lecture 2: Box plots
Lecture 3: Bar graphs
Lecture 4: Dot plots
Lecture 5: Conclusion
Chapter 5: Customizing the Look and Feel of Univariate Data Graphs
Lecture 1: Introduction
Lecture 2: Titles, fonts, and legends
Lecture 3: Schemes
Lecture 4: Box plots
Lecture 5: Bar graphs
Lecture 6: Dot plots
Lecture 7: Conclusion
Chapter 6: Bivariate Data – Part 1
Lecture 1: Introduction
Lecture 2: Quantile-quantile plots
Lecture 3: Scatter plots
Lecture 4: Median-splines
Lecture 5: Parametric fits: linear, quadratic, and polynomial
Lecture 6: Conclusion
Chapter 7: Bivariate Data – Part 2
Lecture 1: Introduction
Lecture 2: Revisiting bar graphs, box plots, and dot plots
Lecture 3: Using the if qualifier with the twoway command
Lecture 4: Customizing the look with the twoway command
Lecture 5: Conclusion
Instructors
-
Najib Mozahem
Assistant Professor
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 1 votes
- 3 stars: 4 votes
- 4 stars: 15 votes
- 5 stars: 41 votes
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
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