diff --git a/config.yaml b/config.yaml
index 85477dd9..9ff1e19b 100644
--- a/config.yaml
+++ b/config.yaml
@@ -3,7 +3,7 @@
 ########################################################################################################################
 
 # See https://www.rapids.science/latest/setup/configuration/#participant-files
-PIDS: [p01] #p01, p02, p03]
+PIDS: [p02] #p01, p02, p03]
 
 # See https://www.rapids.science/latest/setup/configuration/#automatic-creation-of-participant-files
 CREATE_PARTICIPANT_FILES:
diff --git a/eda_windows_p01_window_60_thresh_default.png b/eda_windows_p01_window_60_thresh_default.png
new file mode 100644
index 00000000..b8a8e548
Binary files /dev/null and b/eda_windows_p01_window_60_thresh_default.png differ
diff --git a/eda_windows_p02_window_60_thresh_default.png b/eda_windows_p02_window_60_thresh_default.png
new file mode 100644
index 00000000..d9f7d61b
Binary files /dev/null and b/eda_windows_p02_window_60_thresh_default.png differ
diff --git a/tests/scripts/missing_values_heatmap.py b/tests/scripts/missing_values_heatmap.py
index 2f2364f2..3826e371 100644
--- a/tests/scripts/missing_values_heatmap.py
+++ b/tests/scripts/missing_values_heatmap.py
@@ -5,7 +5,7 @@ import matplotlib.pyplot as plt
 
 # path = "/rapids/data/processed/features/all_participants/all_sensor_features.csv" # all features all participants
 # path = "/rapids/data/interim/p03/empatica_accelerometer_features/empatica_accelerometer_python_cr_windows.csv" 
-path = "/rapids/data/interim/p03/empatica_electrodermal_activity_features/empatica_electrodermal_activity_python_cr_windows.csv" 
+path = "/rapids/data/interim/p02/empatica_electrodermal_activity_features/empatica_electrodermal_activity_python_cr_windows.csv" 
 # path = "/rapids/data/interim/p02/empatica_inter_beat_interval_features/empatica_inter_beat_interval_python_cr_windows.csv" 
 # path = "/rapids/data/interim/p02/empatica_blood_volume_pulse_features/empatica_blood_volume_pulse_python_cr_windows.csv" 
 # path = "/rapids/data/interim/p02/empatica_temperature_features/empatica_temperature_python_cr_windows.csv" 
@@ -18,6 +18,6 @@ rows_with_NaN = df[row_has_NaN]
 print(rows_with_NaN.size)
 
 sns.heatmap(df.isna(), cbar=False)
-plt.savefig('eda_windows_p03_window_60_thresh_default.png', bbox_inches='tight')
+plt.savefig('eda_windows_p02_window_60_thresh_default.png', bbox_inches='tight')