From 678ace68b2cda29474b27df678fd2807322922eb Mon Sep 17 00:00:00 2001
From: carlan1 <103652751+carlan1@users.noreply.github.com>
Date: Thu, 16 Jun 2022 09:22:59 -0400
Subject: [PATCH] Update 06-data_quality.md

---
 .../06-cortex/05-features/02-secondary/06-data_quality.md      | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/docs/09-data_science/06-cortex/05-features/02-secondary/06-data_quality.md b/docs/09-data_science/06-cortex/05-features/02-secondary/06-data_quality.md
index aaa359073e..f41b4fe989 100644
--- a/docs/09-data_science/06-cortex/05-features/02-secondary/06-data_quality.md
+++ b/docs/09-data_science/06-cortex/05-features/02-secondary/06-data_quality.md
@@ -6,10 +6,11 @@ computed from raw feature: `cortex.raw.gps` or `cortex.raw.accelerometer`
 
 Data quality computes the percent of the time that a feature achieved a certain data quality. This feature currently supports accelerometer and gps. 
 
-_Note: Data quality in one of two ways 1) by pulling all raw data from 'start' to 'end' and the looping over each time bin to determine if a datapoint with that timestamp in the bin exists or 2) by looping over each time bin and trying to pull a single datapoint from that time bin using the API to determine if a timestamp in that bin exists. The threshold for switching between these methods has been set to 150 bins (ie less than 150 and method #2 will be used, else method #1) to try to increase processing speed._
+_Note: Data quality in one of two ways 1) by pulling all raw data from 'start' to 'end' and looping over each time bin to determine if a datapoint with that timestamp in the bin exists or 2) by looping over each time bin and trying to pull a single datapoint from that time bin using the API to determine if a timestamp in that bin exists. The threshold for switching between these methods has been set to 150 bins (ie less than 150 and method #2 will be used, else method #1) to try to increase processing speed._
 
 #### Optional or required kwargs
 
+- `id`: (str) participant id.
 - `start`: (units: ms) the start time.
 - `end`: (units: ms) the end time.
 - `resolution`: (units: ms) the resolution over which to compute features.