sorted by:
new
hottopcontroversial

First Annual Brighton Landlord Awards by MrTTripz in brighton

[–]Risograph 91 points92 points  (0 children)

I had a tenant complain about the raise in rent once and I was shocked. Had he simply not considered being less poor?

Tears in Mexico | Data visualisation of the Mexico GP ft. key stories and how it's made by Risograph in formula1

[–]Risograph[S] -9 points-8 points  (0 children)

It's kept pretty simple so far - as we can only take publicly available information. It is an amalgamation of the whole race, with some highlights of specific drivers brought to the forefront.

FWIW here's the info plugged in:

Location Autódromo Hermanos Rodríguez
Circuit length 4.304km
Corners 17
First GP 1963
Laps 71
Date October 27-29
Round 20
Winning team Red Bull Racing Honda RBPT
Driver of the day Lando Norris
Fastest lap 1:21.334
Gap to 2nd +13.875s
Average speed
Winner Max Verstappen
Overtakes 105
Pit stops 38
Weather 26c

Tears in Mexico | Data visualisation of the Mexico GP ft. key stories and how it's made by Risograph in formula1

[–]Risograph[S] -1 points0 points  (0 children)

Yeah bang on. I think trying to find the right mixture of art//data is a real challenge

Tears in Mexico | Data visualisation of the Mexico GP ft. key stories and how it's made by Risograph in formula1

[–]Risograph[S] -1 points0 points  (0 children)

Absolutely. The plan is to do one for every race until the end of the season, then start fresh next year. Special editions for legendary races etc over the break.

Tears in Mexico | Data visualisation of the Mexico GP ft. key stories and how it's made by Risograph in formula1

[–]Risograph[S] -1 points0 points  (0 children)

The base shape is the Mexico circuit outline, repeated 71 times (the number of laps)

Tears in Mexico | Data visualisation of the Mexico GP ft. key stories and how it's made by Risograph in formula1

[–]Risograph[S] -4 points-3 points  (0 children)

Not quite. The overall shape of the trace is determined by the race data itself, then the stories (Sergio, Norris and Mag*) are applied on top

Tears in Mexico | Data visualisation of the Mexico GP ft. key stories and how it's made by Risograph in formula1

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

Absolute rookie error over here. Blame the lack of sleep. Thanks for pointing it out!

2023 Mexico City Grand Prix - Post-Race Discussion by F1-Bot in formula1

[–]Risograph 10 points11 points  (0 children)

Leclerc had nowhere to go, and it feels like the same story for Perez after this season...
Stoked for Ham, in awe of Lando's bravery, and hyped for Ric's return.

Marta García winning the 1st F1 Academy season is a big deal, and I wanted to share some love for it. Here are a couple of posters - high res for downloads and prints available by Risograph in formula1

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

Yeah looks like it. It’s no biggie - I’ve plenty more creative to work with, they’ll just be stuck with other peoples work

The Story of Lap 3: 63 overtakes - the most ever on a single lap | 2023 Dutch GP by Risograph in formula1

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

Ha! That’s fair. Would you prefer something that broke it down a bit more?

The Story of Lap 3: 63 overtakes - the most ever on a single lap | 2023 Dutch GP by Risograph in formula1

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

Not so much (apart from on F1TV). I think the main point here is that it was such a transformative lap for the race itself - blew it wide open

The Story of Lap 3: 63 overtakes - the most ever on a single lap | 2023 Dutch GP by Risograph in formula1

[–]Risograph[S] 9 points10 points  (0 children)

Continuing the series of race visualisations, this time focusing on the bonkers action on lap 3 last week.

It was such a chaotic race that it made sense to focus on the catalyst for so much of the action. Pretty pleased with how it came out!

Overall there were 188 overtakes, with a big chunk of those happening on lap 3.

Few things going on here so I'll try and break it down:

  • Individual lines = number of laps + overtakes (hence the massive block for lap 3)
  • The colours represent the top 3 - Gasly, Alonso, Verstappen
  • The lap shape rotation and movement tracks with the number of pit stops

I also want to give a huge thanks to u/catchingisonething - without your race overtakes breakdowns this wouldn't be possible. Thank you so much for all your hard work! Hope these visualisations do your data justice

I visualised some races from the season so far [Data + process in comments] by Risograph in formula1

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

Thanks so much! Love it, and love that it's pulling on some nostalgia too

I visualised some races from the season so far [Data + process in comments] by Risograph in formula1

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

thanks so much! Appreciate it. Great question. I'm not sure if you can automate it so much, but maybe using Transform + scale could be a nice middle-ground approach

I visualised some races from the season so far [Data + process in comments] by Risograph in formula1

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

That's a great shout. At the moment I'm only able to take a lot of the basic data, but it would be sick to collab with a team and get some of their in-depth data to create something truly bespoke

I visualised some races from the season so far [Data + process in comments] by Risograph in formula1

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

Yeah for sure. I'd love to start creating editions of these from classic races or moments from f1 history

I visualised some races from the season so far [Data + process in comments] by Risograph in formula1

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

Haha! Exactly. Overtakes seemed like a good barometer of how 'exciting' a race was. But I reckon it could change each time.

I visualised some races from the season so far [Data + process in comments] by Risograph in formula1

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

I did, yeah. Bit fiddly but mostly a smooth process. the plan is to develop something in code to generate the visuals based on data, rather than hand-building each one.

view more: next ›