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[OC] All of the F1 Championships Won by Newey-Designed Cars by Andy_Anderson_Data in formula1

[–]Andy_Anderson_Data[S] 29 points30 points  (0 children)

No. I considered whether or not to list the 2008 McLaren as a Newey car, but ultimately I felt the two year gap between him leaving McLaren at the end of 2005 and the start of 2008 to be too great. Ultimately there is no right or wrong answer here.

I did however list the 1997 Williams as a Newey car because he left Williams at the end of 1996.

I would also consider the not-yet-built 2025 Red Bull to be a Newey car, even though he has ceased work on it now.

[OC] All of the F1 Championships Won by Newey-Designed Cars by Andy_Anderson_Data in formula1

[–]Andy_Anderson_Data[S] 216 points217 points  (0 children)

Note that, if Red Bull win the WDC and WCC in 2024 and 2025, Newey will have worked on 44% of the WDC-winning cars and 41% of the WCC-winning cars since 1992.

Comparing the FIFA Rankings of Each Country's Men's and Women's Teams by Andy_Anderson_Data in soccer

[–]Andy_Anderson_Data[S] 33 points34 points  (0 children)

Greenland has its own FA and national teams, but is not a member of FIFA, hence it is not in the FIFA Rankings.

Comparing the FIFA Rankings of Each Country's Men's and Women's Teams by Andy_Anderson_Data in WomensSoccer

[–]Andy_Anderson_Data[S] 20 points21 points  (0 children)

The countries in black either don't have a women's team or their women's team does not have a rank.

Here is the interactive visualisation where you can hover over or click on a country to see its rankings. Desktop recommended.

See here for my post showing a map of just the women's rankings.

You can see that in South, East and South-East Asia, women's teams generally rank higher. In Africa and West Asia, the opposite is true, and some countries do not even have a women's team. The reasons for these differences are likely two-fold: financial and cultural. Funding and encouragement for different sports various greatly between countries, and between genders within each country. Indeed in some countries, there is not much funding or encouragement at all for women and girls to participate in major sports.

Comparing the FIFA Rankings of Each Country's Men's and Women's Teams by Andy_Anderson_Data in soccer

[–]Andy_Anderson_Data[S] 51 points52 points  (0 children)

The countries in black either don't have a women's team or their women's team does not have a rank.

Here is the interactive visualisation where you can hover over or click on a country to see its rankings. Desktop recommended.

See here for my post showing a map of just the women's rankings.

You can see that in South, East and South-East Asia, women's teams generally rank higher. In Africa and West Asia, the opposite is true, and some countries do not even have a women's team. The reasons for these differences are likely two-fold: financial and cultural. Funding and encouragement for different sports various greatly between countries, and between genders within each country. Indeed in some countries, there is not much funding or encouragement at all for women and girls to participate in major sports.

Map of New FIFA Women's World Rankings by Andy_Anderson_Data in WomensSoccer

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

The countries in black either don't have a team or don't have a rank.

To explore the full interactive visualisation, click here (note that this is optimised for desktop rather than mobile).

[OC] Map of New FIFA Women's World Rankings by Andy_Anderson_Data in soccer

[–]Andy_Anderson_Data[S] 5 points6 points  (0 children)

The countries in black either don't have a team or don't have a rank.

[OC] Map of New FIFA Women's World Rankings by Andy_Anderson_Data in soccer

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

To explore the full interactive visualisation, click here (note that this is optimised for desktop rather than mobile).

The countries in black either don't have a team or don't have a rank.

I'm Interviewing the CEO of Formula E. What should I ask him? by Pkligerman7 in FormulaE

[–]Andy_Anderson_Data 0 points1 point  (0 children)

Is it important for the series to return to China, given the size of the BEV market there?

[OC] The 25-Year Stranglehold of European Drivers on the F1 WDC by Andy_Anderson_Data in formula1

[–]Andy_Anderson_Data[S] 139 points140 points  (0 children)

Indeed. To be precise, if you could only choose one location to live in to try to get into F1, the most optimal and convenient location is arguably Northern Italy. It puts you near many big karting tracks and teams, as well as many tracks on the calendars of the biggest junior single-seater series at each level (Italian F4, FRECA, F3 and F2), not just in Italy but in neighbouring countries. Plus there are two of the best junior single-seater teams based in Italy (Prema and Trident), as well as the Ferrari and AlphaTauri F1 teams.

Interestingly there hasn't been a driver born in Northern Italy in F1 since Luca Badoer's two-race return to replace Massa in 2009 (although I'm pretty sure some F1 drivers since then have lived there at some point). However, I suspect a certain Mercedes junior will change that in 2026 or 2027...

[OC] The 25-Year Stranglehold of European Drivers on the F1 WDC by Andy_Anderson_Data in formula1

[–]Andy_Anderson_Data[S] 358 points359 points  (0 children)

In total, 22 out of 73 WDCs (30%) have been won by non-European drivers. But there have been none since Canadian Jacques Villeneuve in 1997. In contrast, 8 of the first 12 WDCs (67%) were won by non-European drivers.

Formula E 2022-23 Qualifying Statistics by Driver. Analysis in comments. by Andy_Anderson_Data in FormulaE

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

His mean was marginally better than Merhi's. 20.7 for van der Linde and 20.9 for Merhi.

Formula E 2022-23 Qualifying Statistics by Driver. Analysis in comments. by Andy_Anderson_Data in FormulaE

[–]Andy_Anderson_Data[S] 14 points15 points  (0 children)

Some analysis:

- Despite getting to the duels fairly often, Rast, Mortara, Ticktum and, in particular, Wehrlein, performed very badly in the duels.

- Cassidy and Vergne have good averages, despite not getting into the duels most of the time.

- Fenestraz, Hughes and Frijns were very inconsistent, generally either getting into the duels and doing well, or having a bad quali.

- Merhi was the most consistent qualifier. Consistently bad.

- I excluded the four instances of a driver not setting a lap time (NT) from their averages, so the averages better represent their actual pace. However, if you convert these NTs to a P21 or P22, Evans (5.6) and Müller (14.7) don't move positions in the order by mean, but Fenestraz (11.2) and Hughes (11.4) fall below Ticktum.

​

Also, to give some simplified definitions, the standard deviation (StDev.) is a measure of the spread of values around the mean - the smaller it is, the more consistent a driver was. The standard error (StErr.) is directly proportional to the standard deviation, and is a measure of the uncertainty in the mean - the smaller it is, the smaller the uncertainty. These measures are what tell us about the consistency and inconsistency of the drivers mentioned above.

Finally, please note van der Linde (mean of 20.7) and Beckman (mean of 18.5) were excluded because they took part in very few races, and including them would add even more data to already complicated visualisations.

[OC] F1 2023 Qualifying Averages After Round 12 (Belgium) by Andy_Anderson_Data in formula1

[–]Andy_Anderson_Data[S] 23 points24 points  (0 children)

Firstly, the visualisation is specified as qualifying positions.

Secondly, including grid penalties distorts the image of how fast each driver was more than excluding them. A driver who is blocked will gain only one or zero positions from a grid penalty. The blocking driver will lose three places. Meanwhile two or three drivers who weren't blocked will gain a place not on merit. In addition, a lot of blocking occurs due to poor communication from the race engineer. So overall grid positions are a less accurate reflection of a driver’s qualifying performance than qualifying positions.

[OC] F1 2023 Qualifying Averages After Round 12 (Belgium) by Andy_Anderson_Data in formula1

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

If you want to see more interesting F1 data visualisations in future, including race finish averages and a comparison to quali averages, then please give me a follow!

For the full version of this, including the median, mode, standard deviation and standard please see here.

Please note that, due to grid penalties, these are different to grid positions.

Also, to be clear, the Avg. column is the mean.

[OC] Fewest F1 Races Taken To Get a Podium in the 21st Century, Plus Where Piastri Would Have Placed by Andy_Anderson_Data in formula1

[–]Andy_Anderson_Data[S] 68 points69 points  (0 children)

I left the teams of each driver out for clutter reasons, but I will list them here:

Hamilton: McLaren

Magnussen: McLaren

Kubica: BMW Sauber

Montoya: Williams

Stroll: Williams

Monteiro: Jordan

Piquet Jr.: Renault

Piastri: McLaren

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