diff --git a/exploration/expl_esm_labels.py b/exploration/expl_esm_labels.py
index c2c7ff3..91c28c5 100644
--- a/exploration/expl_esm_labels.py
+++ b/exploration/expl_esm_labels.py
@@ -74,15 +74,16 @@ df_esm_PANAS_summary_participant = (
     .reset_index(col_level=1)
 )
 df_esm_PANAS_summary_participant[
-    "PANAS_subscale"
+    "PANAS subscale"
 ] = df_esm_PANAS_daily_means.questionnaire_id.astype("category").cat.rename_categories(
-    {8.0: "PA", 9.0: "NA"}
+    {8.0: "positive affect", 9.0: "negative affect"}
 )
 
 # %%
 fig1 = sns.displot(
-    data=df_esm_PANAS_summary_participant, x="mean", hue="PANAS_subscale", binwidth=0.2
+    data=df_esm_PANAS_summary_participant, x="mean", hue="PANAS subscale", binwidth=0.2
 )
+fig1.set_axis_labels(x_var="participant mean", y_var="frequency")
 if save_figs:
     fig1.figure.savefig("PANAS_mean_participant.pdf", dpi=300)
 
@@ -90,14 +91,15 @@ if save_figs:
 sns.displot(
     data=df_esm_PANAS_summary_participant,
     x="median",
-    hue="PANAS_subscale",
+    hue="PANAS subscale",
     binwidth=0.2,
 )
 
 # %%
 fig2 = sns.displot(
-    data=df_esm_PANAS_summary_participant, x="std", hue="PANAS_subscale", binwidth=0.05
+    data=df_esm_PANAS_summary_participant, x="std", hue="PANAS subscale", binwidth=0.05
 )
+fig2.set_axis_labels(x_var="participant standard deviation", y_var="frequency")
 if save_figs:
     fig2.figure.savefig("PANAS_std_participant.pdf", dpi=300)
 
@@ -148,6 +150,9 @@ df_esm_SAM_event_summary_participant = (
 
 # %%
 fig6 = sns.displot(data=df_esm_SAM_event_summary_participant, x="mean", binwidth=0.1)
+fig6.set_axis_labels(
+    x_var="participant proportion of stressful events", y_var="frequency"
+)
 if save_figs:
     fig6.figure.savefig("SAM_events_mean_participant.pdf", dpi=300)
 
@@ -194,7 +199,7 @@ df_esm_SAM_threat_challenge_summary_participant = df_esm_SAM_summary_participant
     | (df_esm_SAM_summary_participant["questionnaire_id"] == 89)
 ]
 df_esm_SAM_threat_challenge_summary_participant[
-    "event_subscale"
+    "event subscale"
 ] = df_esm_SAM_threat_challenge_summary_participant.questionnaire_id.astype(
     "category"
 ).cat.rename_categories(
@@ -205,7 +210,7 @@ df_esm_SAM_threat_challenge_summary_participant[
 sns.displot(
     data=df_esm_SAM_threat_challenge_summary_participant,
     x="mean",
-    hue="event_subscale",
+    hue="event subscale",
     binwidth=0.2,
 )
 
@@ -213,9 +218,10 @@ sns.displot(
 fig3 = sns.displot(
     data=df_esm_SAM_threat_challenge_summary_participant,
     x="std",
-    hue="event_subscale",
+    hue="event subscale",
     binwidth=0.1,
 )
+fig3.set_axis_labels(x_var="participant standard deviation", y_var="frequency")
 if save_figs:
     fig3.figure.savefig("SAM_std_participant.pdf", dpi=300)
 
@@ -263,7 +269,7 @@ df_esm_JCQ_summary_participant = (
     .reset_index(col_level=1)
 )
 df_esm_JCQ_summary_participant[
-    "JCQ_subscale"
+    "JCQ subscale"
 ] = df_esm_JCQ_summary_participant.questionnaire_id.astype(
     "category"
 ).cat.rename_categories(
@@ -274,9 +280,10 @@ df_esm_JCQ_summary_participant[
 fig4 = sns.displot(
     data=df_esm_JCQ_summary_participant,
     x="mean",
-    hue="JCQ_subscale",
+    hue="JCQ subscale",
     binwidth=0.1,
 )
+fig4.set_axis_labels(x_var="participant mean", y_var="frequency")
 if save_figs:
     fig4.figure.savefig("JCQ_mean_participant.pdf", dpi=300)
 
@@ -284,8 +291,11 @@ if save_figs:
 fig5 = sns.displot(
     data=df_esm_JCQ_summary_participant,
     x="std",
-    hue="JCQ_subscale",
+    hue="JCQ subscale",
     binwidth=0.05,
 )
+fig6.set_axis_labels(x_var="participant standard deviation", y_var="frequency")
 if save_figs:
     fig5.figure.savefig("JCQ_std_participant.pdf", dpi=300)
+
+# %%