Due date: Mar 19 (23:55)
The first part of your assignment is to develop a single interactive Tableau dashboard with at least three views that allow manipulation and exploration of the life expectancy dataset provided below. A view is a single graphical representation of the data (i.e., a chart), and a dashboard connects multiple views in a meaningful way. Please create only a single dashboard, multiple dashboards will not increase your points. In the additional report (not more than one page), please explain why you chose the charts for this dataset and provide a coherent overview of your findings.
If you have trouble installing Tableau Desktop, please have a look at this tutorial on Moodle to get started.Please use the life-expectancy.csv dataset for this assignment.
You will have to sign up for a free Tableau Public account and when you are finished with your dashboard in Tableau
Desktop, publish it to the web by following: "Server" -> "Tableau Public" -> "Save to Tableau Public..".
Please also submit your assignment as a zip file containing both your Tableau dashboard and a short write-up essay (as
pdf) to Moodle. You will have to save your visualization as a "Packaged Workbook" (File -> Export Packaged
Workbook). This will save the data with the workbook so that both, dashboard/visualizations and data, are packed up in one file.
Failure to follow this instruction will result in a point penalty. The write-up must include your name, student number, and a link to your Tableau Public dashboard (there is a share button for each dashboard, please use this link).
Please note: Failure to upload your assignment solution to both – Tableau Public and Moodle – will result in 0 points!
The report and worksheet should be uploaded to Moodle by the submission deadline. Use the following naming scheme for your submission: "studentnumber_A1.zip". Late Submissions are possible if you use your grace days; see the bottom of this page for more information.
We will evaluate your Tableau visualization based on the quality of communicating fundamental aspects of the given dataset. Does it give the viewer a good understanding of the selected data characteristics and exploratory insights? Here, we are looking for both effectiveness and creativity. We do realize that you – at this stage – might have very little or no visualization background. Therefore, we seek good effort, not necessarily some conference paper-worthy new ideas. The purpose of this assignment is to gain a first experience in visual data analysis through developing visualizations on your own.
We will grade your submission as follows:
The report and packaged workbook should be uploaded to Moodle and the dashboard should be uploaded to Tableau Public by the submission deadline.
Late Submissions are possible, as you have a total of five grace days for all assignments. After these days are used up, the remaining assignments must be submitted on time. For more detail, see: Late submission.