Due Jun 10 by 11:59pm Points 100 Submitting a text entry box
Available May 25 at 12am – Jun 11 at 11:59pm 18 days
Assignment 1 Due on June 10th.
The Assignment is due on June 10th. It is worth 10% percent of your final grade. You can work on the assignment jointly with others, however everyone should write and submit their own assignment answers.
Submit your Assignment to Canvas. Go to Canvas and click on assignment 1. Click Submit assignment and then cut and paste your draft into the text box.
Please write your name, student ID and tutorial section number on your assignment. No need to print/reproduce any graphs on your assignment.
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:
- makesure that you know the precise meaning of the plotted variables (no need to write it down)
- outlinethe major pattern (e.g., positive, negative, or no association between the plotted variables, etc.) you see:
- inthe scatterplot across countries
- inthe variables’ change over time (if applicable)
- youmay 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
- statebriefly what you think is the likely reason(s) for the observed pattern
- couldyou 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. Exports (% of GDP) vs. Number of people in poverty (% people below $1.25 a day) for 1978-2011 for China and India only.
Note: to switch to the Exports (% of GDP) variable click on the vertical axis and going to \Economy”, then
\Debt & trade” then select from the list. Switch to the Extreme poverty variable by clicking on the horizontal axis and going to \Economy”, then \Poverty & inequality” then select from
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