diff --git a/exploration/expl_proximity.py b/exploration/expl_proximity.py
index b015f49..f3be825 100644
--- a/exploration/expl_proximity.py
+++ b/exploration/expl_proximity.py
@@ -66,4 +66,47 @@ sns.displot(
 # %%
 df_proximity_inactive.double_proximity.value_counts()
 
+# %% [markdown]
+# We have already seen 5.0 and 5.000305 from the same device. What about other values?
+
+# %% [markdown]
+# # Participant proximity values
+
 # %%
+df_proximity_combinations = pd.crosstab(
+    df_proximity_inactive.username, df_proximity_inactive.double_proximity
+)
+display(df_proximity_combinations)
+
+# %% [markdown]
+# Proximity labelled as 0 and 1.
+
+# %%
+df_proximity_combinations[df_proximity_combinations[1] != 0]
+
+# %% [markdown]
+# Proximity labelled as 0 and 8.
+
+# %%
+df_proximity_combinations[df_proximity_combinations[8] != 0]
+
+# %% [markdown]
+# The rest of the devices have proximity labelled as 0 and 5.00030517578125 or both of these values for "far".
+
+# %%
+df_proximity_combinations[
+    (df_proximity_combinations[5.0] != 0)
+    & (df_proximity_combinations[5.00030517578125] == 0)
+]
+
+# %%
+df_proximity_combinations[
+    (df_proximity_combinations[5.0] == 0)
+    & (df_proximity_combinations[5.00030517578125] != 0)
+]
+
+# %%
+df_proximity_combinations[
+    (df_proximity_combinations[5.0] != 0)
+    & (df_proximity_combinations[5.00030517578125] != 0)
+]