From 0c6084398584805565e57ae11d04416143d7d4e4 Mon Sep 17 00:00:00 2001
From: Daniel Langbein <daniel@systemli.org>
Date: Sun, 13 Aug 2023 16:40:48 +0200
Subject: [PATCH] wip

---
 README.md | 12 ++++++++++++
 1 file changed, 12 insertions(+)

diff --git a/README.md b/README.md
index a199f42..9b8f434 100644
--- a/README.md
+++ b/README.md
@@ -187,6 +187,18 @@ source ~/de-p1st-monitor.venv/bin/activate
 pip install graph-cli
 ```
 
+3) Prepare data (WIP)
+
+```shell
+qsv=/home/yoda/Downloads/qsv-0.108.0-x86_64-unknown-linux-gnu/qsv
+file=foo.csv
+
+# TODO: Divide net_* total sent bytes column by 1.000.000 to make numbers smaller
+"${qsv}" headers --just-names "${file}"
+"${qsv}" apply dynfmt --formatstr '{FOO} €' -c 'Total Price' "${file}"
+"${qsv}" apply calcconv --formatstr '{col1} + 10' --new-column BAR "${file}"
+```
+
 3) Create plots
 
 Create one plot for each .csv file with different resampling methods (https://pandas.pydata.org/pandas-docs/stable/reference/resampling.html#computations-descriptive-stats):