ASSIGNMENT 2: Dear Data
About the Data: I tracked the number of dogs I spotted for a week and it was pretty fascinating. Collecting the data was exciting at first — I spoke with the owners to learn more about their dogs. Eventually, it became exhausting and I decided to take pictures and guess the breed or search online for a match using what-dog.net . What Dog classifies dog breeds using machine learning. Most of the photos I uploaded were close-ups and the site returned pretty accurate results for each photo. I began tracking by using an application on my phone but there were too many steps involved and it was distracting so I decided to track with a notepad and pen. I recorded the breed type, color and size of each dog during my commute to and from Brooklyn and Manhattan each day/night. I transferred the data from my notepad to excel and calculated the total count for the week along with the total count of different colors and the total count based on dog size. The data viz starts from the top of the postcard (day 1) and ends at day 5, the last day of tracking. I stayed in on Friday, Saturday and Sunday but managed to spot a dog while looking out of my living room window . My excitement is clear and obvious in the first few days of data collecting; I started on the morning of Tuesday, Feb 5th and ran around the city like a mad person looking for data (dogs). By Thursday night, I only recorded dogs within walking distance or close enough to determine the breed. Here are the final numbers:
Total # of Dogs: 53
Side note: I forgot to include my dog!!!, Magic Voilà Reggler (He’s the last dog on this page — sorry Magic!)
Any thoughts about how your self-tracking ideas might be refined as you gain more exposure to the discussions about self-tracking…
I learn something new with each self-tracking/tracking assignment, particularly getting into the habit of paying closer attention and making a deliberate effort to change my perspective to see more around me.