... | ... | @@ -244,11 +244,20 @@ The following services had votes for retirement: |
|
|
* schleuder (1, 8%)
|
|
|
* testnet (1, 8%)
|
|
|
|
|
|
## Usage graph
|
|
|
## Graphs
|
|
|
|
|
|
Those graphs were built from the results of the gigantic "service
|
|
|
usage details" group, from the [spreadsheet][] which will also
|
|
|
provide more detailed information, a summary and detailed narrative of
|
|
|
which is provided below.
|
|
|
|
|
|
[spreadsheet]: 2021/service-usage-happiness.ods
|
|
|
|
|
|
### Usage
|
|
|
|
|
|
![service-usage-hours](2021/service-usage-hours.png)
|
|
|
|
|
|
## Happiness graph
|
|
|
### Happiness
|
|
|
|
|
|
![service-happiness-score](2021/service-happiness-score.png)
|
|
|
|
... | ... | @@ -514,8 +523,9 @@ as CSV with the following procedure: |
|
|
set
|
|
|
3. then click "export"
|
|
|
|
|
|
The resulting CSV file was imported in LibreOffice and mangled with a
|
|
|
bunch of formulas and graphs. Originally, I used this logic:
|
|
|
The [resulting CSV file](2021/service-usage-happiness.csv) was imported in a LibreOffice [spreadsheet][spreadsheet]
|
|
|
and mangled with a bunch of formulas and graphs. Originally, I used
|
|
|
this logic:
|
|
|
|
|
|
* for the happy/sad questions, I assigned one point to "Happy" answers and -1 points to "Sad" answers.
|
|
|
* for the usage, I followed the question codes:
|
... | ... | |