This assignment is to be completed individually. It is due in the window between 5 and 15 March.
Instructions:
Assignments are an "open ended applications of the work that we have done in the rest of the course presented as a web-written document. These are typically about 1500 words each, plus visuals."
Following the example of Dear Data & other QS tracking assignments in the course that we have discussed, your task is to identify some elements of your own life or immediate surroundings you would like to track and create data about. You can do this in the form of a spreadsheet you fill out at regular intervals, or can employ a device to help you (shortcuts on the smartphone for example).
The tracking should take place between week 3 and week 6, making up at least 50 points of data. You could record twice daily 6 days a week (as Franklin did), or choose to work more intensively over a period of one week. Be as creative as you like, tapping into whatever skills you possess.
Format:
The end product is a dataset, cleaned and in csv format (or other analogous format : json, etc). If you do not provide the whole dataset, please provide a redacted sample of the output. Accompanying the dataset is a web-written assignment of about 1500 plus visuals. The visuals can be a combination of data visualization and or other methods. Please try at least one graphical representation.
Guiding questions (you do not need to answer all of these):
What are your trying to track in this assignment? Do you expect to get any self-knowledge from it?
Describe in detail how you carried out the tracking? Did you revise your original plan? Why?
How did you create scales to help you come up with discrete values? What is the balance between quantitative and qualitative data you are collecting?
How easy or difficult was it to remember always to complete / process the tracking data?
How and when was the data collection process difficult, perhaps distorting of reality? What did the process not capture about reality?
Did the visualization software impose some constraints you would have not preferred to have?
Would you prefer for this data to be "forgotten"?
If you were to collect much more data (either over a longer time or with many more data points per day), how might your conclusions differ?
What relation can you draw to any of the readings or course materials?
"How did you make that?" -- include any code, names of tools/apps, tips, basic instructions for how you collected and visualized your data
When you have completed your assignment, please put "ready for grading" and the date at the bottom of the page.