This assignment involves working with the Gapminder World website: http://www.ga

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This assignment involves working with the Gapminder World website:
http://www.gapminder.org/tools/ (Links to an external site.)
You must use the Gapminder World graphical interface to plot three different graphs of development data, analyze them and provide comments within 200 words per graph. During the tutorials the TA’s will help youFor each graph:
make sure that you know the precise meaning of the plotted variables (no need to write it down)
outline the major pattern (e.g., positive, negative, or no association between the plotted variables, etc.) you see:
in the scatterplot across countries
in the variables’ change over time (if applicable)
you may also choose to comment on a particular country or group of countries which you believe deserve special attention or something else on the plot that you find striking or interesting
state briefly what you think is the likely reason(s) for the observed pattern
could you offer a forecast (with brief argumentation) of how you would expect the graph to look 20 years from now?
Instructions: The exact variable names from the Gapminder website are given below. Put the first stated variable on the vertical axis and the second variable (after the vs.”) on the horizontal axis. To see the joint change over time in the plotted variables over time use the slider below the graph (or, the Play” button) as shown in tutorials.
Graph 1. Babies per woman (total fertility) vs. Income per person (GDP/capita, PPP$ inflation adjusted) for 1810-2015.
Note: to switch to the Children per woman variable click on the vertical axis and select the variable from the very top of the list. Use the movie” slider below the plot to see how the pattern evolves over the years 1960 to 2015.
Graph 2. Income vs. CO2 emission for 2014.
Note: you can switch to the CO2 emissions variable by clicking on the vertical axis and going to Environment”, then Emissions”. Select the variable from the list.
Graph 3. Life Expectancy vs. Income per person (GDP/capita, PPP$ inflation adjusted).

 

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