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Henry Wakefield Dec 1
Today's plot, looking at the occupancy rate of shelters in Toronto in 2019. Coming into the winter months, donations are needed now more than ever. More information here:
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Bahman Dec 1
A quick look at the relationship between average daily temperature and occupancy rate in Toronto shelter system. code:
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goldenboy Dec 1
Here my submission for this week on Toronto shelters. Sad to see the occupancy levels so high. Here a panoramic view with a breakdown by organizations and sectors. code here >>
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Ijeamaka A Dec 1
It's and also Giving Tuesday. I will be donating to my local food bank and local shelters this week, and encourage everyone to do so as well, if able. 👩🏿‍💻:
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Amanda Luby, PhD Dec 2
Got back on the train this week looking at Toronto Homeless Shelters. I made a github-style calendar showing the number of programs at or above capacity on each day. I can see some seasonal trend (esp in 2018), but not as much as I was expecting
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lisa lendway Dec 4
Another 30 minutes of watching me code with the Toronto shelters data. I am curious if the shelters are at even higher capacity during these tough times. 😺: YouTube:
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Ijeamaka A Nov 28
Due to the Thanksgiving holidays, I had some time to work on this weeks ! So I am back again with my one true love, coord_polar, for Washington Trails. 👩🏿‍💻:
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Georgios Karamanis Dec 2
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Mr. Plant Dec 2
A first attempt at a visualization...it's a start. Occupancy Rates at Toronto Shelters
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Botan Ağın Dec 3
Late submission for week 46 'Historical Phones' data. I focused on numbers of Turkey with . For subtitle I inspired by code:
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Charlie Gallagher Dec 2
Inspired by , I imitated warming stripes for this week's on Toronto homeless shelters. Red indicate higher occupancy code:
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Kaustav Sen 12h
Week 49 - Analyzed Toronto shelter homes. Plot design inspired by 's awesome plot from a previous challenge. Code:
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Luis 🐘 Dec 3
Toronto Shelters: an Infographic, my week 49 contribution. This week I had a lot of fun making a waffle and circular bar plot for the first time. I also used {patchwork} to put it all together. Btw {ggtext} is amazing.
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Maia 🌿 Dec 2
After a CRISP 11 week hiatus from (and twitter 😬), I've returned with a pretty simple one on the occupancy of Toronto shelters! I've heard the horror stories of the shelters in TO but it was still very sobering to work with this data this week...
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Tom Mock 8h
If you're interested in this idea, check out ! 3 years worth of data to clean, model, analyze and/or visualize!
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Kaustav Sen Nov 26
A {gt} table for Week 48 - which hiking trail should you visit in Washington? Code: Used latest blog post on {gt} to add custom HTML elements😍 Definitely check out his blog post:
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Sarah Dec 3
Here's an animated gif for this week's !
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Josh Persi Dec 2
A bit of a shock for my very first . I live in Toronto and had no idea homelessness among families had nearly doubled over the last few years.
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Leo Ohyama 🌏🐜💻 Dec 1
Very quick working with shelter data from Ontario, specifically Toronto. Calculated monthly average remaining space for a shelter. Family shelters have been over capacity compared to other shelters. Temporal data gets difficult fast
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Jesse Roe Dec 2
Two for 1) Toronto shelter occupancy and unused capacity by sector. 2) Map of Toronto shelters by occupancy and sector Family shelters increased in capacity and occupancy at the start of 2018, all other sectors have stayed relatively consistent.
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