JVjvanderbot·Jan 2, 2021
I have a text file in a known location. It's backed up on git.
I can open and edit that file quickly using bash. From within VIM I can quickly commit to reduce the # keystrokes. More details: https://github.com/jodavaho/bashlog#git-integration
(Really though, you can just save as an environment variable your file location)
The text file is structured with space-delimited text, like this: https://github.com/dkogan/vnlog
My current structure for tracking a contribution to an OKR item (e.g. "meditate") by date (e.g., 2020-01-15) and amount (e.g., "1") is simply:
"# date item amount"
Easy to open, easy to plop down today's date and the item / amount. Save multiple date/item entries and add them inscripts ... Easy to save. Done.
The work came in building stuff to plot it:
I have other files that link "items" to goals or other metadata like ca
Read the rest
tegories, etc. Like a relational database, but easily edited in text.
For example, to make a link from daily items to Key Results
"# item okr"
The OKR categories are usually Fighting (I box), Tech, Mental health, and Social, but YMMV
Another example is "workout-mapping.vnl" with structure:
"# item muscle-group factor"
etc etc.
vnlog has nice vnl-join commands that quickly build the table and all linked metadata and output formatted text (one command). Then reading that in R is easy ...
```
data <- read.table('../2020-Q4-OKR.vnl',skip=2,stringsAsFactors = FALSE)
```
Aggregating by date is easy:
```
data.agg<- aggregate(x=data$Amount,by=list(data$Date),FUN=sum)
```
Then plot using ggplot2.
Examples from 2020 Q4 (just ran the numbers yesterday!)
https://josh.vanderhook.info/media/okr.png
https://josh.vanderhook.info/media/workouts.png
https://josh.vanderhook.info/media/mood.png