This isn't so much a post about something I've created but instead a post about the flashcards I've been reviewing as part of my progress of learning the Japanese language and world geography. I figured I'd post now that I've been doing it for over a year.
Using Spaced Repetition and Anki I've managed to learn and retain about 1700 unique Japanese characters and about 1300 words. I passed the JLPT N5, though just barely.
Also I know about half the worlds countries/flags/capitals now (there's so many). The daily reports really motivate me, it is definitely an efficient and relatively low effort way to learn.
If you weren't aware, I am working with some friends building a 3d photo booth that captures your digital avatar. Initially, most of that work was building a room with 70 cameras, but now most of my time is spent building custom gifs for our emoji keyboard.
Over this weekend at TrafficJam, I worked with a great team of people making a project
using an archive of TTC vehicle position data that I've been collecting. I've been working with this data for a while but
really struggling to make something interesting out of it. That's where the team I was part of really helped out with
the math and policy experience that I'm just not that familiar with. Together we built a tool to inform us of the current
and past state of the traffic in the city. When busses run every few minutes on all routes, they become a regular and
reliable dataset with which you can infer all sorts of knowledge. We decided to focus on traffic variance.
What that basically means is knowing whether a particular street is consistantly fast or consistantly no fun. If a road
is terrible all the time, maybe you're sad but you aren't surprised and you aren't late for your interview at the
City of Toronto Big Data Division for that nice role with the high salary, you know the one.
Naturally, a 48 hour event to build something leaves you with a project without frills (everyone likes frills) There are
a lot of upgrades we want to do with this project and I hope the team sticks together to see them through.
I'd tell you about the upgrade ideas but then that's all you'd look at instead of what it's already got.
This is a map of the city, blocked up geographically and by time, telling you the variance of the speeds of the
vehicles found in each block.
The above map is one week of gps reports but our analysis went through two full months of data. Highlighting the areas
which are the worst is in the following map.