Tag: dear data

  • Dear Data 2019 – Week 10, Data Pals

    Dear Data 2019 – Week 10, Data Pals

    Week 10 postcards are finally here for the data postcard project Sarah Bartlett and I are working on. The topic for the week was our relationship with each other. How much do we communicate, how often, when, and so on. And the timing was fantastic – Sarah and I recorded a video feedback session for #IronQuest ala business dashboards. That meant in addition to our normal back and forth we were preparing for the recording (and as always monitoring the latest when it comes to the postcards).

    I chose to approach the week by focusing on the time difference between us. Sarah and I use WhatsApp to text each other and after EVERY message there is a timestamp. So this got me very curious as to what the timestamp says on Sarah’s phone. I compiled all of our texts at the end of the week and jotted down their time (in my time) in a Google Sheet. Then I did the math to offset the time and began plotting.

    Dear Data 2019 – Ann’s week 10, data pals
    Dear Data 2019 – Ann’s week 10, data pals (legend)

    To demonstrate the difference in when we were talking to each other I chose to create two different time axes with the days of the week starting at the center line (Sunday) and moving outward toward Saturday. I was hoping to see a common pattern emerge around when we typically talk to each other. In reality it seems like independent of time of day we are both pretty responsive (Sarah did tell me to go to bed once). There’s one very small pattern that would probably emerge over more time – notice that Sarah messages me around noon and then I wake up in the morning and reply.

    You’ll notice that the viz itself is full of corrections – I spent a ton of care crafting out a precise grid for hours and days – but fell short on labeling and that in turn influenced where I put a few data points. I also realized after I mailed it that there are times when it’s the next day for Sarah vs. me – so at best the labels for days of the week represent the days from my perspective.

    Ending on a high note I created a bonus viz of emojis. My original idea was to add them as flourish to the dots, but because plotting them correctly proved difficult, I left it to a simple bar chart. Maybe a ratio would have been more effective? Ann uses 4 emojis per every 1 emoji used by Sarah.

    Here’s Sarah’s postcard:

    Dear Data 2019 – Sarah’s week 10, data pals
    Dear Data 2019 – Sarah’s week 10, data pals (legend)

    Once again Sarah delights! She’s clearly on a path of taking things to a new place of abstraction and using other objects as visual metaphors. Not only that, but she also captured MUCH more data about us – our interactions on Twitter, our postcards, and our #IronQuest feedback call. AND she included the number of cat emojis on WhatsApp. (!!) And amazingly enough – if you didn’t know it was data-driven – you’d assume it was just a sketch.

    There’s more to come soon – so keep an eye out! And in the meantime make sure you check out Sarah’s take on the topic.

    I really do hate how rusty these mailboxes are.

  • Dear Data 2019 – Week 9, To Do Lists

    Dear Data 2019 – Week 9, To Do Lists

    Week 9 of the data postcard project Sarah Bartlett and I are working on have arrived. The topic of the week was To Do Lists. I don’t actively keep good lists of tasks – they make me sad – especially when I have tasks that continue to go undone. I also think they miss describing/capturing how priorities can change. So instead of starting and attempting to track a to do list, I instead chose to track what it is I’m doing.

    I’ll be more clear – because of my line of work I track all of my work using an app. It’s very detailed to include project specifics. I figured it would be interesting to see how my attention gets divided in a given week. From a data collection perspective this meant I didn’t have to do anything different – the data I have is already tracked and the behavior already exists.

    So at the end of the week how did my schedule look?

    Dear Data 2019 – Ann’s week 9, to do lists
    Dear Data 2019 – Ann’s week 9, to do lists (legend)

    I ended up creating a classic Gantt chart showing Monday through Saturday. The bars are positioned based on time, with the far left being 6 AM and the far right being 9 PM, the width of the bars is duration (in time) and the color of the bars represents the projects I was working on.

    I will say this was a particularly busy week for me, as you can tell, I like to have 2 major projects going (red & orange) at a time with a significant amount of time spent on keeping the business running (the lighter blue). There’s some obvious bleed through of other projects this week, so it’s interesting to see how and when they get integrated.

    All the white space is non-clocked time. Depending on where I am, I usually find myself getting up for 5 to 10 minutes and taking a break to reset or switching to a different task. I enjoyed seeing this week illustrated, because it is a good reminder that a structured 9 to 5 schedule isn’t very realistic. It’s much more fluid, with similar start and stop times for each day, but with small gaps driven by the tasks being worked on.

    Sarah on the other hand chose to lean in on creating to do lists, here is here postcard:

    Dear Data 2019 – Sarah’s week 9, to do lists
    Dear Data 2019 – Sarah’s week 9, to do lists (legend)

    She admits, as I have, that to-do lists aren’t really her thing (which I rejoiced!). Immediately what’s interesting about her list is that it is dominated by personal tasks. For what I am assuming is a normal work week only about 25% of her to-dos fall in the work bucket. And I’d even say that she gets a large majority of her tasks done within the day of when she sets them up. I also like the nuance of metallic silver she’s added for aging tasks – a bit hard to see in the photo, but they add tremendous design effect in person.

    I’m noticing an emerging trend as we continue to create the postcards. Sarah has gone further down using other objects as abstract representations (she herself called the triangles flags) whereas I am mostly still in a more direct mode of creating charts).

    In real time we’re on week 13 – so there’s more to come and more mail to catch up with the progress we’ve made.

    As always, don’t forget to check out Sarah’s blog on the topic.

    Mailed on a Monday evening!
  • Dear Data – Week 7, Complaints

    Dear Data – Week 7, Complaints

    Week 7 postcards have long been delivered and this blog post is overdue. As if the subject for the cards had some influence, the theme of complaints seemed to have an extremely negative impact on having the desire to write the companion blog post.

    During this week I tried to track all of my verbal complaints or times when I felt actively frustrated or annoyed. I genuinely try not to complain very often, so most of my tracked complaints represent high amounts of escalated annoyance or dissatisfaction.

    For data collecting I documented all of these moments on my phone, writing a small sentence that expressed the complaint to document the subject and frustration level. In retrospect I think capturing this data wasn’t very accurate and it seemed to me that the more complaints I tracked, the more grumpy I was about it.

    Here’s my postcard, which really clearly sums up how I felt in general about the topic:

    Dear Data 2019 – Ann’s week 7, complaints
    Dear Data 2019 – Ann’s week 7, complaints (legend)

    Each column represents a day of data (Monday to Friday) which are chunked into different sections based on the complaint. You can see that Tuesday was not a great day for me, I had 10 different things that I complained about. In contrast, Friday had no data which is more due to me being distracted by other things and less aware of my complaints.

    Each complaint is categorized into a major topic: traffic, the temperature around me, technology, people, and myself. The most vivid complaints for me this week were around the cold. During this week it was extremely cold (comparatively for Phoenix, AZ) and I was in a very drafty building. There’s nothing worse than being cold and trying to work and that was very apparent throughout Monday, Tuesday, and Wednesday.

    Here’s Sarah’s postcard for the week:

    Dear Data 2019 – Sarah’s week 7, complaints
    Dear Data 2019 – Sarah’s week 7, complaints (legend)

    Once again Sarah has done a better job at capturing data detail throughout the week making her postcard more rich with information than mine! I like that she ended up separating out the different buckets into 2 large themes: personal vs. external. I think it probably helps retrospectively to know if the complaints were valid or within her control to change. And I also like the traditional use of a bar chart on the right side to offset the more abstract complaint loops on the left.

    I’m glad to see there are some common themes among our complaints: people, technology, and transportation. We chatted about how cold I was that week afterward and Sarah reminded me kindly that 40 degrees F is not very cold.

    And the best part of the week – mailing off the complaints and being done with data collection on the topic!

    I don’t like how rusty this blue box is.

    Don’t forget to check out Sarah’s take on the week!