I live in Tampa, FL and Hurricane Milton came through Wednesday night and Thursday morning and knocked out power for about 600,000 customers–75% of the TECO Energy customer base.
I got the idea of tracking the outage/restoration later in the day Thursday, so though the data doesn’t start at the beginning of the outage, I can’t imagine many restorations had taken place when I started tracking them. I’ve been using the official TECO outage map’s (an Azure source) to get the data every 15 minutes via python and a requests POST and I’m using datawrapper for the visualizations.
It’s obviously a downward trend, but if you click the subsequent photos in the group you can see 24-hour periods (and I kept the Y-axis a 150k range for comparison sake). Lots of ups and downs. If you want to see the interactive version, it’s here: [https://www.datawrapper.de/_/9Pqwj/](https://www.datawrapper.de/_/9Pqwj/)
I assume this data is most beautiful to those who live in Florida and have air conditioning tonight and this is probably not beautiful data for those 70k customers who are in the dark.
Churning196 on
Y axes don’t start at zero. Graphs are not standardized. How does anyone think this is beautiful
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I live in Tampa, FL and Hurricane Milton came through Wednesday night and Thursday morning and knocked out power for about 600,000 customers–75% of the TECO Energy customer base.
I got the idea of tracking the outage/restoration later in the day Thursday, so though the data doesn’t start at the beginning of the outage, I can’t imagine many restorations had taken place when I started tracking them. I’ve been using the official TECO outage map’s (an Azure source) to get the data every 15 minutes via python and a requests POST and I’m using datawrapper for the visualizations.
It’s obviously a downward trend, but if you click the subsequent photos in the group you can see 24-hour periods (and I kept the Y-axis a 150k range for comparison sake). Lots of ups and downs. If you want to see the interactive version, it’s here: [https://www.datawrapper.de/_/9Pqwj/](https://www.datawrapper.de/_/9Pqwj/)
I assume this data is most beautiful to those who live in Florida and have air conditioning tonight and this is probably not beautiful data for those 70k customers who are in the dark.
Y axes don’t start at zero. Graphs are not standardized. How does anyone think this is beautiful