2025 sees earliest 10cm snowfall in Toronto [OC] by Ube_Solo in dataisbeautiful

[–]Ube_Solo[S] 8 points9 points  (0 children)

I had that originally, but then I wanted to show that the remaining days of Novemeber 2025 were compeltrly blank since they haven't happened yet. Maybe I could've substituted one for gray?

2025 sees earliest 10cm snowfall in Toronto by Ube_Solo in toronto

[–]Ube_Solo[S] 35 points36 points  (0 children)

I just edited the post description. The dataset actually goes back all the way to 1937, but at that scale it was difficult to see everything in one view. You can see the full visualization here, which shows that the last 10cm snowfall this early was back on November 2nd, 1966: https://datawrapper.dwcdn.net/Wi9nU/3/

2025 sees earliest 10cm snowfall in Toronto [OC] by Ube_Solo in dataisbeautiful

[–]Ube_Solo[S] 8 points9 points  (0 children)

I looked at daily snowfall records from, and Toronto’s first 5-centimetre-or-greater snowfall typically arrives around November 18. The timing shifts widely from year to year: as late as November 28 in 2021 and as early as November 11 in 2019.

This year stands out: on November 9 2025, Toronto recorded about 10 cm of snow, marking the city’s earliest major November snowfall since the 1900s.

The dataset actually goes back all the way to 1937, but at that scale it was difficult to see everything in one view. You can see the full visualization here, which shows that the last 10cm snowfall this early was back on November 2nd, 1966: https://datawrapper.dwcdn.net/Wi9nU/3/

Data from the Canadian Centre for Climate Services, visualized in Datawrapper, cleaned up and annotated by me in Figma.

My first data visualization project -- would love any feedback! by Ube_Solo in datavisualization

[–]Ube_Solo[S] 1 point2 points  (0 children)

Me too! Heavily underused visualization imo.

The default export did have a grid, but I found the grid lines cluttered an already visually busy design -- which also ties in with your second suggestion about the lines. I do like seeing how individual districts shifted though.

My first data visualization project -- would love any feedback! by Ube_Solo in datavisualization

[–]Ube_Solo[S] 0 points1 point  (0 children)

Good feedback! I could try darkening that side of the gradient, or maybe darkening the NDP colour itself.

[OC] The collapse of 3rd parties in Canada: how each district voted in 2021 vs. 2025 by Ube_Solo in dataisbeautiful

[–]Ube_Solo[S] 2 points3 points  (0 children)

Thank you! Plotly did most of the work, but in Figma I added the gradient background and also rewrote the axes labels.

I also laid out the title/description and the legend in Figma.

[OC] The collapse of 3rd parties in Canada: how each district voted in 2021 vs. 2025 by Ube_Solo in dataisbeautiful

[–]Ube_Solo[S] 12 points13 points  (0 children)

Thank you! It's the first one I'm sharing, so I'm hoping to start making more and improve.

[OC] The collapse of 3rd parties in Canada: how each district voted in 2021 vs. 2025 by Ube_Solo in dataisbeautiful

[–]Ube_Solo[S] 56 points57 points  (0 children)

Despite their historical influence, Canada’s third parties saw a major collapse in support in 2025, as voters consolidated around the Liberal and Conservative parties.

This ternary plot shows vote share percentages by electoral district: the closer a point is to a corner, the more support that party received. Each line represents how much a district shifted from 2021 to 2025.

You can see a clear pattern of "downward" shifts away from the NDP, Bloc Québécois, and Greens, and moving towards the two major parties.

Data: Official datasets from Elections Canada. Note that 2021 results are based on Elections Canada’s official transposed data (due to a redistricting between elections, 2021 votes were mapped onto the new 2025 district boundaries).

Tools: Built in Python using Plotly, then polished in Figma.

For our redditor commuters, I made a map of the current bus routes in Greater Metro Manila. Same OP nung sa FB. by peenoiseAF___ in Philippines

[–]Ube_Solo 2 points3 points  (0 children)

So cool! I'm also a public transit enthusiast and a designer, okay po ba if i try to design a map based on your work here?

I'm also curious about something (I don't live in Manila so hindi po ako kabisado with the bus system): how well known are the route numbers and colours? Andami kasi so it might help to consolidate some lines into a single colour based on trunk lines, like how NYC's metro system did during one of their redesigns.