Not discrimination?

I am not able to interpret this graph :|

This is a pretty well-studied phenomenon though, so it's not like we have flat priors or smth.

Uhhhh source?

And they peaked at the wrong time, when Jordan was in his prime, so there was no way we were going to get past the Bulls. The one year he retired for baseball we made the Championship and lost to the Rockets. It’s been a sad 50 year ride as a fan.

Why do you think that is?

Looks like it’s also the football field on google maps

so, as this sub is about data presentation, the vertical city names is really not good. (maybe even angle them, so we can read them)

Also, maybe geolocate these bars.

As someone who really likes basketball, 2 titles (in the same era/decade) is really less, especially compared to other big name teams in the NBA.

Even worse, the Knicks haven't been the contender since the end of the 90s. Really subpar.

I shared a similar chart last year, and then there were a lot of comments and questions, so I wanted to improve it a bit.

• Source: Wikipedia
• Tools: Python for data cleaning and wrangling
• Datawrapper for chart

Few things to have in mind:

• The championships won are recorded for the cities only, not the individual franchises
• When a team relocates to a new city, the number of championships won in the prior city remain with that city
• Cities from suburbs and metropolitan areas, are mapped to the “main” city (e.g. Oakland to San Francisco)

If you would like to see different breakdowns (last 50 years, 21st century), or a full list of the cities (with at least 1 championship), you can find all that on my blog post here

On top of that, you can see a time series, and have a look how things changed with time. And there's a breakdown of all NYC sports championships.

Also, you find details about sources, methodology and mapping (which team was mapped to which city).

In general, it took quite some time to collect, organize and prepare all datasets, therefore hope you enjoyed.

Merry Christmas and happy holidays, everyone!

Edit: to provide some additional explanation. Wording is not the best, as if we are speaking about North America, we would need to include other countries and other leagues (e.g. Liga MX). Using wording like "US Sports" also isn't correct, as we have Canadian cities having representatives in some of the leagues. Some term like "US & Canada joint leagues" would maybe be better. General idea was to take 5 most popular sports, and get the winners of the top leagues of every sport. And that's why I haven't included CFL. For those asking why pre-NFL championships are included for football, it is because NFL recognizes them officially, similar like NBA recognizes BAA winners. Regarding soccer, I understand it wasn't big historically, but now is somewhere on pair with NHL, and that's why it was included. And I was only including MLS, since 1996.

Why are you not always brushing your teeth twice a day?

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Is it? I feel like for many unis in my country now even 90 averages aren't enough for most engineering programs...and it's not even the good unis

Usually best ones = men, and worst ones=men

Especially considering what a big deal some of the records seem to be.

What's wrong with Google Forms?

My Knicks suck. I was still two months from birth when they last won in 1973.

It would make more sense to leave Brazil out.

Idk it’s just one of the weird quirks of baseball. The infields are exactly the same dimensions, but the outfields are unique to the park

This is a bad graph. Why's it go to -200%? Where is 0? There should be a line for 0 or a different color for negative growth if there is any.

Minimum $100k?! Sounds like I gotta start looking at who's hiring!

Probably in a area where mining has polluted the water so bad that many children have mutated to become predominantly left handed.

Nice! I hardly know Baseball but like to see those fields compared!

But why?

DC is skewed because it's basically a city-state (sans statehood rights). It would be more appropriate to compare DC to the other major metropolises like SF, NYC, etc.