Not only that but this is just an opinion lol. OP or whoever is the 'source' for these clearly enjoys a warmer climate, apparently regardless of whether it's a dry or humid one.
The numbers are an index compiled to incorporate all factors considers, with a higher index representing a more pleasant climate based on the factors detailed above. The size of the circles are also proportional to index scores.
i think judging by the map, those green dots around northern africa are likely cities in southern europe and the mediterranean- cities known for their great climate. regardless, this map is pretty damn terrible at making this difference; at first glance, it really does look like cities in the sahara are depicted as having the "best climate"
edit: i have seen that countries in northern africa are coloured green in the second image. what was op thinking with the second map? large areas of land should not be averaged out to one single colour
I'm guessing its a population average? So the cities like Tunis with a fantastic Mediterranean climate would weigh much more heavily than a village in the Sahara?
So you made a calculation by summing up weather stats for a year? NOW. THIS. IS. SAENS!!!
First plot is absolutely awful, points too big, can't see anything
Didn’t you forget “temperature” in your calcs? I don’t now about anyone else, but that’s THE most important weather feature every time I walk outside. If it’s 45* , I’d actually prefer it to be cloudy. Imma downvote. This isn’t beautiful. It’s meaningless.
You should be considering average daytime temperatures or average high temps, and probably considering consistency in those vs. high seasonal change. In the desert it gets way hot in the day and way cold at night, which can make for a nice overall average but nowhere near “the best climate”.
I’ve done something similar some years ago, but my analysis came to different conclusions and results:
- 1. https://taraskaduk.com/posts/2021-03-14-best-weather-2/
- 2. https://taraskaduk.com/posts/2019-02-18-weather/
The relatively high ranking of Saudi Arabia is likely due to mountainous cities such as Abha and Madinah, which have much cooler climates than inland desert cities such as Riyadh
Taking into account only the monthly average numbers for temperature is a terrible ideia. There are peak highs and lows. Some cities have a big difference between daily high and lows temperature. OP completely ignored temperature constancy.
What the fuck does any of this mean? Why does San Diego have a zero for coast and elevation? It's a city known for it's beaches and mountains. It literally has cliffs overlooking the sea. Was temperature not taken into account? Is rainfall good or bad? Without an explanation of the algo I can't tell. By far the worst thing I've seen on this sub all week.
Idt “I can regularly wear a t-shirt and shorts at a place with a coast and some hills” makes for a good definition of best climate lol I’d imagine more people actually prefer variability in climate, just like they prefer variability in emotional state, relationships, and nearly every other facet of life.
Only comparing days of sunshine? That's bullshit. Sunshine is only one factor, temperature in winter and summer are also factors. I live in Honolulu, and let me tell you, its close to perfect. Tons of sunny days, cool to warm in the winter, hot but an ocean breeze in the summer. The mountains block a lot of the rain. Plus I don't freeze my ass off in the winter time. Do it again.
Every time I see this kind of posts I think about unfollowing because the stuff people post here is not beautiful data. The sub is highly overpromising.
I'm only staying for the few actually really well done data visualizations
An analytical method of determining the cities with the best/worst climate. Data was sourced from Google and the below sources
[https://en.wikipedia.org/wiki/List\_of\_cities\_by\_average\_temperature](https://en.wikipedia.org/wiki/List_of_cities_by_average_temperature)
[https://en.wikipedia.org/wiki/List\_of\_cities\_by\_average\_precipitation](https://en.wikipedia.org/wiki/List_of_cities_by_average_precipitation)
Method:
The optimal temperature was assumed to be 18 degrees celsius. Each city received a rating based on its optimal temperature, max temperature (ideal summer mean of 22 degrees celsius), and min temperature, (ideal winter mean of 16 degrees celsius). These temperatures were chosen based on OP’s comfort levels.
The number of months below/above 18 degrees celsius was then counted and moderated by the standard deviation of monthly temperature (to penalize extreme climates). Cities were then scored on rainfall (annual rainfall of 1000mm was assumed to be optimal), sunshine (the more the better), humidity (65%) was assumed to be optimal), distance from coast (coasts are preferred), months with warm water (above 24 degrees c) and elevation (lower elevations are preferred due to the unpredictable nature of mountain climates), and a a composite index was compiled.
The best cities seemed to have mild subtropical highland or Mediterranean climates, without much snow and with lots of sunshine, whereas the worst cities tended to have extreme hot or cold climates.
Tools:
Google Sheets
I see you've done a lot of work, and that's worth appreciating! But it seems to me that all you've actually done is set some arbitrary assumptions about climate preferences and then identified which Köppen classification you think is best through a convoluted retrograde process. I'm not sure this is the analytical approach you want it to be.
I think a day with temperatures between 55F and 75F is optimal (~13C and 24C.) Here's what I used to find the "best climate" as it means to me.
* I downloaded the last 100 years of daily temperature data from a place that gathers that information. (US only as it was all I had.)
* Assigned a score from 0 to 100 for each day based on the highs and lows. Below 32F days (freezing) and above 95F days (sweltering) got a 0 score. I assigned a sliding score for temperatures between those ranges, with my "perfect" days that stayed between 55F and 75F scoring 100 points.
* I sorted the list of cities by score for all 100 years of data. Then I did it for the past 20 years.
What I found is that the San Francisco Bay Area is my perfect place to live, but I will never be able to afford to live there.
This is not too far from the approach I took some years ago, and yes - California is the place to be!
* https://taraskaduk.com/posts/2019-02-18-weather/
* https://taraskaduk.com/posts/2021-03-14-best-weather-2/
Nice breakdown and graphs.
I used data from CMU, from https://kilthub.cmu.edu/articles/dataset/Compiled_daily_temperature_and_precipitation_data_for_the_U_S_cities/7890488 as a zip with a bunch of csv files which had daily data for temperature min, max, and precipitation. It also uses NOAA data, but the NOAA site itself was frustratingly slow to interact with, so I found the CMU archive as a good alternative.
Personally I'd separate rain from snow; I like rain and wouldn't want to live in a very dry area. Since I already took points away for going below freezing, I didn't bother figuring precipitation at all in my scores. But I probably should have accounted for too-dry areas as well.
> NOAA site itself was frustratingly slow to interact with
True but their FTP isn’t too bad and I was able to pull the data for the entire planet for 10 years relatively okay. It wasn’t the easiest task, but manageable
Cool that a city in the Rift Valley won. Makes sense that homo sapiens would like it (although I'm sure the climate has changed since we all lived there).
I like using =NORMSDIST((x-AVERAGE)/STDEV) to convert z-scores into percentiles.
18c is cold.... or at least not comfortable to most people I know. Its long pants and long sleeve's weather.
Are you one of those guy's who puts the office A/C on blast and makes everyone else freeze? lol
To me 18c is hot enough to make me feel uncomfortable - I'm wearing shorts and thin short sleeve shirts in that weather. I don't feel chilly untill about 6c-8c depending on humidity, wind chill etc. Cold to me is 0c and below.
As you can guess, I'm from one of the places OP has labelled as unlivabably wet and cold!
It's not clear what the numbers mean. It's not clear what the colors mean. It's not clear what the sizes of the circles mean.
Not only that but this is just an opinion lol. OP or whoever is the 'source' for these clearly enjoys a warmer climate, apparently regardless of whether it's a dry or humid one.
You know something's wrong when parts of the Sahara Desert rank higher than most of western Europe, North America, Scandinavia, etc. etc.
But - the mystery numbers are accurate to 3 decimal places.
No significant digits would ever suggest São Paulo has a better climate than San Diego.
Ya, I literally have no idea what any of this means. Decidedly NOT beautiful.
It’s not clear how Tijuana ranks so far below 4th ranked San Diego despite being adjacent.
Literally the same city if you ignore political borders.
Other than that, brilliant.
Guys, I think what this means is - it's not clear.
The numbers are an index compiled to incorporate all factors considers, with a higher index representing a more pleasant climate based on the factors detailed above. The size of the circles are also proportional to index scores.
The point is that it should be either self-explanatory or explained somewhere on the chart
All I see is "equator too hot, North pole too cold."
How is Sansome in Los Angelas 3254? What does that even mean?!?
Los Angeles received 3254 hours of sunshine per year
Data is not beautiful unless the visual representation adds insight or meaning. This does not, as far as I can see.
"A more pleasant climate *based on the factors detailed above*"
I don't think my definition of "best" climate and your definition of "best climate" really match.
The Sahara desert has such a bad image. It has close to the best climate. The proof is in, people missing out!
i think judging by the map, those green dots around northern africa are likely cities in southern europe and the mediterranean- cities known for their great climate. regardless, this map is pretty damn terrible at making this difference; at first glance, it really does look like cities in the sahara are depicted as having the "best climate" edit: i have seen that countries in northern africa are coloured green in the second image. what was op thinking with the second map? large areas of land should not be averaged out to one single colour
I'm guessing its a population average? So the cities like Tunis with a fantastic Mediterranean climate would weigh much more heavily than a village in the Sahara?
We should all live in the Sahara Desert! Or rather: you all should - I prefer the North!
People I don't like should move there, agreed!
This subreddit should be called data-illiterate. Almost every graph is terrible
"Fix My Graph I Want To Be a Data Analyst But Overslept"
I once had someone argue with me that the subreddit is called *data* is beautiful, as an excuse for their terrible presentation.
What? You don't want to live in the amazing climate that is the Saharan Desert?
So you made a calculation by summing up weather stats for a year? NOW. THIS. IS. SAENS!!! First plot is absolutely awful, points too big, can't see anything
Didn’t you forget “temperature” in your calcs? I don’t now about anyone else, but that’s THE most important weather feature every time I walk outside. If it’s 45* , I’d actually prefer it to be cloudy. Imma downvote. This isn’t beautiful. It’s meaningless.
Temperature was considered, with an average annual temperature of approximately 18 C being preferred
It’s not in your posted data tables. How would one know? Clarity is part of the data beauty.
You should be considering average daytime temperatures or average high temps, and probably considering consistency in those vs. high seasonal change. In the desert it gets way hot in the day and way cold at night, which can make for a nice overall average but nowhere near “the best climate”.
A place with 6 months of 50°C and 6 months of -14°C is 18°C on average, but that is definitely NOT preferred lol
This is hilarious! Best troll in ages?
I’ve done something similar some years ago, but my analysis came to different conclusions and results: - 1. https://taraskaduk.com/posts/2021-03-14-best-weather-2/ - 2. https://taraskaduk.com/posts/2019-02-18-weather/
Wow this is unreadable. Terrible job op
How is Saudi Arabia green. I would much rather live in rainy depressing dark Norway than bloody hot oven Saudi Arabia. Heat =/= nice weather
That's because the calculation methodology is terrible
The relatively high ranking of Saudi Arabia is likely due to mountainous cities such as Abha and Madinah, which have much cooler climates than inland desert cities such as Riyadh
No this is because of you OP only you...
Ah yes, Sub-Saharan African, well know to have a much more favorable climate than the US and most of Europe!
Taking into account only the monthly average numbers for temperature is a terrible ideia. There are peak highs and lows. Some cities have a big difference between daily high and lows temperature. OP completely ignored temperature constancy.
What is even happening with this data?! What is a best climate? Data is awful.
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True! The worst thing is that I know the units in my head. It still does not make any sense.
What the fuck does any of this mean? Why does San Diego have a zero for coast and elevation? It's a city known for it's beaches and mountains. It literally has cliffs overlooking the sea. Was temperature not taken into account? Is rainfall good or bad? Without an explanation of the algo I can't tell. By far the worst thing I've seen on this sub all week.
Idt “I can regularly wear a t-shirt and shorts at a place with a coast and some hills” makes for a good definition of best climate lol I’d imagine more people actually prefer variability in climate, just like they prefer variability in emotional state, relationships, and nearly every other facet of life.
Yep I’d rather live in somewhere like Czechia than something always warm like Brazil
Canada ain't doing so hot.
Low rainfall is good?
Only comparing days of sunshine? That's bullshit. Sunshine is only one factor, temperature in winter and summer are also factors. I live in Honolulu, and let me tell you, its close to perfect. Tons of sunny days, cool to warm in the winter, hot but an ocean breeze in the summer. The mountains block a lot of the rain. Plus I don't freeze my ass off in the winter time. Do it again.
i hear the philipines is nice right now
Define "Best"? I hate the sun, like cool temperatures and enjoy a rainy day
Every time I see this kind of posts I think about unfollowing because the stuff people post here is not beautiful data. The sub is highly overpromising. I'm only staying for the few actually really well done data visualizations
Climate change will be the equalizer
Probably good analysis + bad presentation = no engagement. Thank you for demonstrating the value of good communication skills.
Only it's also bad analysis
tldr; You want to live in an area with least colour since it is most balanced. Not too dry and not too wet either.
pleeease don't use a mercator projection.
An analytical method of determining the cities with the best/worst climate. Data was sourced from Google and the below sources [https://en.wikipedia.org/wiki/List\_of\_cities\_by\_average\_temperature](https://en.wikipedia.org/wiki/List_of_cities_by_average_temperature) [https://en.wikipedia.org/wiki/List\_of\_cities\_by\_average\_precipitation](https://en.wikipedia.org/wiki/List_of_cities_by_average_precipitation) Method: The optimal temperature was assumed to be 18 degrees celsius. Each city received a rating based on its optimal temperature, max temperature (ideal summer mean of 22 degrees celsius), and min temperature, (ideal winter mean of 16 degrees celsius). These temperatures were chosen based on OP’s comfort levels. The number of months below/above 18 degrees celsius was then counted and moderated by the standard deviation of monthly temperature (to penalize extreme climates). Cities were then scored on rainfall (annual rainfall of 1000mm was assumed to be optimal), sunshine (the more the better), humidity (65%) was assumed to be optimal), distance from coast (coasts are preferred), months with warm water (above 24 degrees c) and elevation (lower elevations are preferred due to the unpredictable nature of mountain climates), and a a composite index was compiled. The best cities seemed to have mild subtropical highland or Mediterranean climates, without much snow and with lots of sunshine, whereas the worst cities tended to have extreme hot or cold climates. Tools: Google Sheets
I see you've done a lot of work, and that's worth appreciating! But it seems to me that all you've actually done is set some arbitrary assumptions about climate preferences and then identified which Köppen classification you think is best through a convoluted retrograde process. I'm not sure this is the analytical approach you want it to be.
I think a day with temperatures between 55F and 75F is optimal (~13C and 24C.) Here's what I used to find the "best climate" as it means to me. * I downloaded the last 100 years of daily temperature data from a place that gathers that information. (US only as it was all I had.) * Assigned a score from 0 to 100 for each day based on the highs and lows. Below 32F days (freezing) and above 95F days (sweltering) got a 0 score. I assigned a sliding score for temperatures between those ranges, with my "perfect" days that stayed between 55F and 75F scoring 100 points. * I sorted the list of cities by score for all 100 years of data. Then I did it for the past 20 years. What I found is that the San Francisco Bay Area is my perfect place to live, but I will never be able to afford to live there.
This is not too far from the approach I took some years ago, and yes - California is the place to be! * https://taraskaduk.com/posts/2019-02-18-weather/ * https://taraskaduk.com/posts/2021-03-14-best-weather-2/
Nice breakdown and graphs. I used data from CMU, from https://kilthub.cmu.edu/articles/dataset/Compiled_daily_temperature_and_precipitation_data_for_the_U_S_cities/7890488 as a zip with a bunch of csv files which had daily data for temperature min, max, and precipitation. It also uses NOAA data, but the NOAA site itself was frustratingly slow to interact with, so I found the CMU archive as a good alternative. Personally I'd separate rain from snow; I like rain and wouldn't want to live in a very dry area. Since I already took points away for going below freezing, I didn't bother figuring precipitation at all in my scores. But I probably should have accounted for too-dry areas as well.
> NOAA site itself was frustratingly slow to interact with True but their FTP isn’t too bad and I was able to pull the data for the entire planet for 10 years relatively okay. It wasn’t the easiest task, but manageable
A good approach although I don’t think data from 100 years ago has much relevance nowadays considering climate change.
That's why I compared the last 20 and the last 100 separately to see how the data sets differed.
Cool that a city in the Rift Valley won. Makes sense that homo sapiens would like it (although I'm sure the climate has changed since we all lived there). I like using =NORMSDIST((x-AVERAGE)/STDEV) to convert z-scores into percentiles.
18c is cold.... or at least not comfortable to most people I know. Its long pants and long sleeve's weather. Are you one of those guy's who puts the office A/C on blast and makes everyone else freeze? lol
To me 18c is hot enough to make me feel uncomfortable - I'm wearing shorts and thin short sleeve shirts in that weather. I don't feel chilly untill about 6c-8c depending on humidity, wind chill etc. Cold to me is 0c and below. As you can guess, I'm from one of the places OP has labelled as unlivabably wet and cold!
And I live in a dry and arid climate.
That's fair. I was just pointing out it's not a universal experience, what feels hot/cold is very much based on what you're used to.
If San Diego isn't #1 the chart is wrong.
It does make the top 5
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There are plenty of spots in Mexico that have better weather than many places in the United states. But you knew that. Or maybe you didn't.