Gap Minder Analysis Lesson

Gapminder is a program that allows you to see demographic data in an animated form. It will allow you to see changes that take place in a country over time. You will learn how to use this program and then you will answer questions that will get you to think about the relationship between data sets.


Answer the questions below in red font and submit.

Use this web site to get the data required for answering the questions.

Gapminder: Using data to make inferences about a country. Compare two sets of data at the same time to find correlations between the variables.

1. Choose a country to examine ______________________ (click on the box representing that country).

2. Find out 5 pieces of information about that country by choosing categories on the bottom and the side boxes respectively.

Category Data Range Trend Over Time
________ _________ ______________

________ _________ ______________

________ _________ ______________

________ _________ ______________

________ _________ ______________

Click on “Play” for each statistic above (in the bottom box choose the category “time” and in the side box choose the desired category) and report what the graph showed over time in the space above.

3. What can you infer about this country based on the data?


4. Now look at Fertility rate in the side box and Income per capita in the bottom box:

Fertility rate ________ Income per capita ______
5. What is the trend you see when you examine the data plots for the country you have chosen?

This relationship is called a correlation.

6. What seems to happen to the fertility rate as the income level is higher?
7. Why do you think this happens?
8. Find and exception to this rule (a point in time that doesn’t seem to fit the overall pattern):

Country ____________________ Fertility Rate _____ Income per capita _____
9. Explain possible reasons for the exception:


10. Now pick any two variables that you want to compare for the all the countries and repeat the above procedure. (Deselect Countries)


Category 1 ___________________ Category 2 ____________________

11. What is the trend you see when you examine the data plots for all the countries as a whole?

As stated previously this relationship is called a correlation.

12. Explain the relationship between these two variables (example: as one goes up the other goes down):

13. Why do you think this occurs?

14. Find an exception to this rule (a country that doesn’t seem to fit the overall pattern): Country ____________________

15. Explain the possible reasons for this country being an exception to the "rule" you observed: