Instructions:
I. Research and find a dataset about a topic with data from 30 or more countries. Examples:
http://data.un.org/Explorer.aspx
https://www.worldometers.info/coronavirus/
Other data resources to explore:
https://www.tableau.com/learn/articles/free-public-data-sets https://www.journaliststoolbox.org/2021/10/15/public_records_1/ has a “FINDING DATA”
section
II. Prepare the dataset
If there is an existing dataset in CSV or Excel, you can download it and use it. Or you can use software like Excel to prepare the dataset in CSV or Excel. Your
dataset should have at least two columns: country and value. The country names in your dataset should match either Name, Name (short), or ISO-Code in the
“available-key.csv” attached, which is provided by the data visualization tool datawrapper. Or you can fix the name errors when using datawrapper later.
Please see the attached files for two dataset examples.
The one titled, “UNdata_Export_20211122_040012819.csv” is downloaded from http://data.un.org/Explorer.aspx
The one titled “Covid cases” is prepared by Excel using data from https://www.worldometers.info/coronavirus/
III. Use the following tool to generate data visualization
https://app.datawrapper.de/select/map
Please see the attached files for details of how to use datawrapper.
IV. Submit the following via Blackboard for grading
1. Dataset in CSV or Excel
2. One-page double spaced Written report which contain the following:
1) Data source link
2) Why you want to do visualize this dataset? Cite two or more sources. 3) What are your findings?
3. PNG file of your data visualization of 30 or more countries
Grading rubric:
1. Dataset in CSV or Excel: 10 points
2. One-page double spaced written report: 50 points
1) Data source link: 5 points
2) Why you want to do visualize this dataset? Cite two or more sources. Why? 20 points
Two sources: 5 points
3) What are your findings? 20 points
3. PNG file of your data visualization of 30 or more countries: 40 points