Updated readme and screenshots

mncoppola · Mar 12, 2021 · 7592ebb · 7592ebb
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diff --git a/README.md b/README.md
@@ -4,6 +4,7 @@ Easily generate graphs using recorded data from your chronograph. Supports LabRa
 
 Table of contents:
 * [Quick Start](#quick-start)
+* [Round-Robin (OCW) Testing](#round-robin-ocw-testing)
 * [Running ChronoPlotter with Python](#running-chronoplotter-with-python)
 * [Notes About PyInstaller](#notes-about-pyinstaller)
 
@@ -50,6 +51,20 @@ By default, ChronoPlotter includes ES (Extreme Spread), SD (Standard Deviation),
 
 Close the preview window, making sure not to close ChronoPlotter itself. Finally, click `Save graph as image` to save your graph as a .PNG, .SVG, or .PDF file.
 
+## Round-Robin (OCW) Testing
+
+ChronoPlotter supports chronograph data recorded using the "round-robin" method popular with [OCW testing](http:https://www.ocwreloading.com/). First, uncheck any series not part of the round-robin:
+
+![Populated OCW series data](https://github.com/mncoppola/ChronoPlotter/blob/main/images/ocw_1.png?raw=true)
+
+Click the `Convert from round-robin` button to open this dialog:
+
+![Convert OCW series dialog](https://github.com/mncoppola/ChronoPlotter/blob/main/images/ocw_2.png?raw=true)
+
+Then click `OK` to convert the series data into traditional series suitable for graphing. Note that ChronoPlotter does *not* alter your CSV files, this only converts the data loaded in the program:
+
+![Converted OCW series data](https://github.com/mncoppola/ChronoPlotter/blob/main/images/ocw_3.png?raw=true)
+
 ## Running ChronoPlotter with Python
 
 Users can directly run `ChronoPlotter.py` as a Python script instead of using the prebuilt binaries. Python 3.5+ is required (for PyQt5)

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