For this week’s data visualisation, I tracked how often I unlock one of my devices from Monday to Thursday and if I use face, touch, or passcode identification.Continue reading “Data Visualisation: My Access to Personal Devices”
For the past four days, I focused on my heart rate. This is something my fitness watch does for me, but usually, I don’t take much notice of it. However, from Sunday to Wednesday, I wrote down my average heart rate for each hour of the day.Continue reading “Data Visualisation: My Heart Rate”
Taking notes on my commute offered me more insight than I would have guessed before!
For my visualisation, I decided to focus on my morning and afternoon commute to and from school (my workplace), and therefore I labelled the time in between 10-16 with “my school day “. I used the 24 hour-notation for my time scale because it is common here in Switzerland, especially on train and bus timetables. The scale begins at 6 o’clock and ends at 19 o’clock because I always commuted within these times.Continue reading “Data Visualisation: My Commute”
I felt the need for a short entry since it’s been a learning curve and I experienced the limits of collecting data today. Originally I planned to collect data on questions in my school environment.Continue reading “Trial and Error”
This week I tried to record data, read more about my first attempt and my thoughts below.
On the weekend I decided to record my readings over the following days. As a child/teenager I loved to read, but as my job and degree took over, I saw reading more as part of the academic side of my life and not so much of my free time. It’s only since the first lockdown that I found more time, or should I say finally decided to take more time, to read more. From the beginning, it made sense, at least to me, to divide my readings into three categories: academic, for pleasure and for school.Continue reading “Attempting Data Collection”
Welcome to my data visualisation blog!
Over the course of the upcoming 12 weeks I will look into the subject of Critical Data and Education and critically engage with readings. In addition I will weekly visualise data I collected on various themes.