GapMinder Results

Please add you gapminder example in the comments section.

Describe what you found and share a link to the graph.

14 Responses to “GapMinder Results”

  1. sdonovan@pitt.edu says:

    I looked at 4 states and child mortality.
    http://www.bit.ly/aOr60t

  2. morgan.m.steffen@gmail.com says:

    We looked at income per person and total oil consumption in the US, Canada, Brazil, and India.

    http://www.bit.ly/cSGiDk

    Morgan Steffen
    Quentin Johnson

  3. nicholas.lineback@gmail.com says:

    We (Nicholas Lineback and Terence Randall) looked at primary education expenditures per student vs mathematics achievment

    http://www.bit.ly/a4ODWA

  4. Jordan Utley says:

    For our (Christine Dumolin, Sam Tracht, and my) graph, we plotted total urban population per country on the dependent axis and total energy use per country on the indepedent axis. Selected countries are the US, Russia, China, and Bangladesh.

    http://www.bit.ly/dl2tjP

  5. cdewan2@gmail.com says:

    Chris Dewan, Mark Bundy, Sara Kuebbing

    We compared children per woman and literacy rate of adult women. What we saw was as the literacy rate of adult women went up, the children per woman decreased. We saw this trend across all countries, showing that these two indicators were very tightly correlated.

    http://www.bit.ly/culDMx

  6. nlopes@utk.edu says:

    Kristin Morgan and Nicholas Lopes explored the relationship between Female Education and Fertility.
    Graph 1: Total Fertility vs. Ratio of Girls to Boys in School
    http://www.bit.ly/bvJDkj
    Graph: Total Fertility vs. Literacy Rate
    http://www.bit.ly/9yy1cY

  7. Denise says:

    Here is our group’s work. We examined life expectancy over time, and added the tracking feature. As you can see, in the 1940’s, life expectancy increased exponentally. We hypothesize this is due to the invention of antibiotics.

    http://www.bit.ly/bvokrY

  8. Holly Saito says:

    http://www.bit.ly/b2w2tz

    This is sanitation and malaria cases.

  9. Holly Saito says:

    This graph looks at sanitation and malaria cases.

  10. pfavi@utk.edu says:

    Jonathan Lindsay and Pelagie Favi: Working hours remained consistent amongst the countries except for Japan over the years. However, wages increased to make up for possible cost of living.
    http://www.bit.ly/ap4SNm

  11. We found a correlation between All Forms of TB vs. Improved Water Source (% of population with access) in Sub-Saharan nations. We found an especially strong correlation in Namibia.

    According to the World Bank, access to improved water source refers to reasonable access to an improved source (i.e. household connection, protected well).

  12. denise.koessler@gmail.com says:

    EDIT TO PREVIOUS POST:

    Group Members: Holly Saito, Timhkit Berhane and Denise Koessler

    Here is our group’s work. We examined life expectancy over time, and added the tracking feature. As you can see, in the 1940’s, life expectancy increased exponentally. We hypothesize this is due to the invention of antibiotics.

    http://www.bit.ly/bvokrY

  13. wilejordan@gmail.com says:

    Group Members: Will Jordan and Craig Conner.

    We found a correlation with increase in personal computer ownership and energy consumption per person.
    Especially evident in the Middle Eastern countries, as more people began using personal computers, their energy consumption per person increased noticeably.

    http://www.bit.ly/9McdgR

See also: