From CS 725/825 Spring 2018

CS725-S18: In-Class Work 1 (ICW1)

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The goals of this exercise are

(This assignment is based on the Data Abstraction exercise from Enrico Bertini, http://enrico.bertini.io/teaching/)

How do you know if you are on the right path? You can easily generate questions out of data, figure out how data needs to be transformed in order to answer the question, and identify what data set type and attribute types your data transformation has generated.

Gather into groups of 2-3 students to work this exercise.

Choose a group representative who will present your findings to the class when we gather back together.

Data

For this exercise we will use data from AidData, an organization co-founded by the College of William & Mary that tracks $40 trillion in funding for development. We'll be looking at a 500-line sample of the data (Google Sheets document, available through your ODU MIDAS Google account). You can find more information on the dataset in the user guide and Data README. The high-level purpose codes come from the OECD CRS purpose codes.

Here is an excerpt from the data set userís guide that summarizes the meaning of the fields:

Exercise

Step 1

Look over the user guide and Data README to familiarize yourself with the data set

Step 2

Perform an initial data abstraction step on the provided data set

Step 3

Write 5 questions you would like to answer with this data set.

Step 4

For each question you generated in Step 3, write the following information:

Reflect/Discuss

Retrieved from https://www.cs.odu.edu/~mweigle/CS725-S18/ICW1
Page last modified on January 17, 2018, at 11:00 AM