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A eulogy for Dark Sky, a data visualization masterpiece

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Re: A eulogy for Dark Sky, a data visualization masterpiece

#71
Does anyone know why apple acquired them just to shut it down?

It doesn’t seem like the weather data was unique - what was unique was its user focussed design.

To acquire it just to shut it down would have only made sense to me had they actually folded the design of dark sky into their weather app and put their founders in charge of the app. Doesn’t seem like that happened

Re: A eulogy for Dark Sky, a data visualization masterpiece

#72

Dark Sky was okay. As detailed here, it does a great job of centering on the actual user needs of weather app users. Unfortunately, it also demonstrated that which users you focus on matters a lot. Dark Sky is great at answering the weather questions of people who live in places where rain showers are short lasting; where temperatures range from ‘cool’ to ‘hot’; and where storms are infrequent, special events. Basica…

Disagree. Dark Sky was fantastic in the PNW, where the main concerns are just how rainy it will be that day, and the approximate high temperatures coming up. Nothing accurately forecasts (here) whether it will be freezing or whether precipitation will be snow/slush/hail/rain, but other apps like Apple's are absolutely horrific at forecasting precipitation even a few hours out. Stuff like showing 30% chance of rain in 1 hour, clear the rest of the day, when it just rains the entire day and the "forecast" continually shows that it will stop raining in 30 minutes.

Re: A eulogy for Dark Sky, a data visualization masterpiece

#74
post #16

Carrot Weather added the "inline" view which replicates Dark Sky pretty well. [1] It's been an easy transition for me, although Carrot is more expensive. [1]: http://meetcarrot.com/weather/goodbyedarksky.html

Well, I tried to install this on Android and was met with "unable to connect to server." I wonder if Carrot is using the Dark Sky API.

Carrot lets you pick your data source [1]. One of the options is the Dark Sky API which is still operating until March 31 [2].

[1]: https://support.meetcarrot.com/weather/

[2]: https://darksky.net/dev

Re: A eulogy for Dark Sky, a data visualization masterpiece

#76
post #51

Related: Weather apps could in general be better, not just in terms of visualization. One thing which always annoys me is how they handle rain predictions. They give "probabilities" for rain. But what do those mean? The probability that it rains for at least one minute in the given time frame? And with at least x mm/inches of rain coming down? And isn't a low probability of short and weak rain totally different from…

Expected value is already what most forecasts show. Expected value conveys information poorly in some common cases, like thunderstorms in the summer. It is very different to hear there's a 20% chance of a thunderstorm, dropping an inch of rain, vs. a 100% chance of .2" rain - the former needs a backup plan to deal with rain, the latter needs to plan for rain. Hence I prefer the text forecasts from the NWS, which list an amount possible, plus more in thunderstorms, rather than a bare number.

Meanwhile the 'probability' listed in forecasts is also well defined as an expected value - it's (probability of X% rain coverage) * (X %), over all X. (Rain is defined as > .01")

Re: A eulogy for Dark Sky, a data visualization masterpiece

#77

I have moved from Dark Sky to Weather Strip: https://www.weatherstrip.app It does a really nice job of showing me most of what Dark Sky showed, in a similarly easy-to-glance-at format once I spent a little time learning to read its graphs. I think Carrot Weather has a lot of graphs directly ripped off from Dark Sky but the constant attempts to upsell me to a subscription plan while I was playing with it really turned…

Hey, me too. Once I downloaded Weather Strip I had trouble understanding how its display methodology wasn't just the standard across weather apps -- I was hit with a serious “wait, why isn't everything like this?” moment. I'd never seen another app that makes the weather so quickly grokkable.

Re: A eulogy for Dark Sky, a data visualization masterpiece

#78

Shout out to FlowX on Android. ( https://flowx.io/ ) The best weather app I've ever used. Much thanks to the founder Duane & his partner for the ongoing development

Not to be sceptical, but here's my initial impression. Try the "privacy" link at the bottom of their homepage.

https://flowx.io/privacy/

> Page not found (404) > Request Method: GET > Request URL: http://flowx.io/privacy/ > Raised by: wagtail.core.views.serve

> You're seeing this error because you have DEBUG = True in your Django settings file. Change that to False, and Django will display a standard 404 page.

They tout excellent app UX but the website has a lot of rough edges visually.

Again, not discounting their work. I'm still going to install and try out, but initial impressions matter.

Re: A eulogy for Dark Sky, a data visualization masterpiece

#79
post #66

Dark Sky was okay. As detailed here, it does a great job of centering on the actual user needs of weather app users. Unfortunately, it also demonstrated that which users you focus on matters a lot. Dark Sky is great at answering the weather questions of people who live in places where rain showers are short lasting; where temperatures range from ‘cool’ to ‘hot’; and where storms are infrequent, special events. Basica…

I live in Montreal and I loved Dark Sky. So I'll disagree.

UK here where we have all the weather all the time. I also disagree.
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