Posts by mlanser@fosstodon.org
 (DIR) Post #APru89T4698LL5qS5A by mlanser@fosstodon.org
       2022-11-22T16:32:34Z
       
       0 likes, 0 repeats
       
       @Raspberry_Pi Absolutely love this story! It's very exciting to see how this kind of manufacturing is shifted to #Africa
       
 (DIR) Post #ARJIitL8iNaWMb32pc by mlanser@fosstodon.org
       2022-12-26T21:49:01Z
       
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       @alwirtes @PowerOutageUS I love this kind of data and, of course, had to follow immediately 🤓
       
 (DIR) Post #ARJJ9IQO4bSjgv5qme by mlanser@fosstodon.org
       2022-12-28T17:06:25Z
       
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       @dan613 @alwirtes @PowerOutageUS Agree. In fact, they should list % everywhere as main data point. They can then also include actual number as secondary data point to illustrate what the % means. This is similar to saying that the stock market is up or down X points which is irrelevant, especially when comparing exchanges. The number that matters is obviously % change, but the points can be added to illustrate the rate of change.
       
 (DIR) Post #ARJJvhABOmdsJhamfY by mlanser@fosstodon.org
       2023-01-04T20:32:18Z
       
       0 likes, 0 repeats
       
       @PowerOutageUS @dan613 @alwirtes I think % on state level is useful for more general use cases. For example, NC has 100 counties. In hurricane season we can have outages in many counties and if I just want to know general outage then % is great. It does not negate value of % on county level. Finally, % across states is useful to compare impact. 100K homes w/o power in CA is not good, but it's really bad in NC. Using % makes it easier to see total impact. So both % and actual numbers are useful 🙂