In my first attempt at data visualisation, I decided to log my Whats App usage for the week. I initially started by noting all the messages both received and sent but then decided to focus on my activity only for data representation. I also didnt include Whats App groups for simplicity and because many received maybe unread.
I decided to eventually use digital inking and Microsoft OneNote as it gives an indefiniate working space, erasing errors is easy and I also have a plethora of pens, pencils etc of my desired thickness.
Most of the time, Whatsapp has acted as a backchannel for work-related activities and because it is easier to share Tweets, links and videos than to send another email. I normally update colleagues on EdTech related issues, especially if they aren’t on Twitter.
I decided there are three categories of people I tend to message: a) family b) friends and c) colleagues and would measure this on the horizontal grid while using the vertical axis for time from 6am to 12am.
In terms of my activity, I would either be forwarding a message, replying to a message or initiative a conversation and therefore decided on the three types of arrows in figure 2. I categorised my emotions as being either positive (motivated, inspired, funny), neutral or negative (bored, annoyed, frustrated) and chose the colours green, yellow and red respectively.
The types of content I was working with include audio messages, texts, video, URL and link and of course emojis 🙂 – each of which has an associated symbol at the beginning of the arrow.
I intended to see interconnected thinking and how some forwarded messages carry from personal non-work life to work-life which can be seen by the green icons on Monday at 6 pm and between 9-12 pm on Friday; often a funny video from Tiktok is shared with a few people and created a ripple-like response. Conversely, negative emotions on Monday evening have carried to or from my professional and working relationships.