Statistics

This post was originally published on golifelog.com.

Although I never took a statistics class, and to be honest, I’m not even the best when it comes to more advanced mathematics, I still like to keep everything that comes to mind in spreadsheets. Well, in my case, in PostgreSQL database tables (developing still feels like a superpower from time to time).

So, as I did some laundry today and recently started the oil usage of the house, I set out to set up another table for wood usage. Especially for the wood-burning oven in the basement, excluding the small Swedish oven in the living room.

I know PostgreSQL well enough to be up and running within minutes, and as I lit the wood burner, I entered the first few pieces of information. For example, starting time, how many wood pieces I used.

It will be interesting to see after a few wood-burning sessions where I’m averaging out. That way I might be able to estimate the wood usage for the end of this year.

For the oil part, I already got a few data points, six in total. And I see an average oil usage of about 13 liters per day. Which would average out to about 400 liters per month. Not exactly cheap, to be honest, but we are currently in full winter mode. The temperature drops at night to below 0°C and sometimes is 0°C or lower the whole day.

It will be interesting to see how the wood burning affects the oil usage. You can find all stats over at: https://life-new.phaidenbauer.com/housing-costs-overview?hid=3