diff --git a/hansken_facet_heatmap.py b/hansken_facet_heatmap.py
index 4764cc9..886f48b 100755
--- a/hansken_facet_heatmap.py
+++ b/hansken_facet_heatmap.py
@@ -39,7 +39,8 @@ context = connect_project(endpoint='http://localhost:9091/gatekeeper/',
 
 start = '2022-7-1T00:00Z'
 end = '2022-7-31T23:59Z'
-search_query = "type:chatMessage"
+#search_query = "type:chatMessage"
+search_query = "type:browserHistory"
 
 # Group the number of searches by the accessedOn property on a scale of a day. A Facet on a date requires a min and max
 facet = RangeFacet('dates', scale='hour', min=start, max=end)
@@ -60,3 +61,5 @@ df_map = pd.pivot_table( df, fill_value=0.0, columns=df.index.date, index=df.ind
 
 sns.heatmap(df_map, cmap="Greens",norm=LogNorm())
 
+
+# %%
diff --git a/requirements-linux.txt b/requirements-linux.txt
index 941a207..7cedaa3 100644
--- a/requirements-linux.txt
+++ b/requirements-linux.txt
@@ -47,6 +47,7 @@ python-dateutil==2.8.2
 pytz==2022.7.1
 pyzmq==25.0.1
 requests==2.28.2
+seaborn=0.12.2
 six==1.16.0
 squarify==0.4.3
 stack-data==0.6.2
diff --git a/requirements-macos.txt b/requirements-macos.txt
index d729083..2bd8c15 100644
--- a/requirements-macos.txt
+++ b/requirements-macos.txt
@@ -48,6 +48,7 @@ pytz==2022.7.1
 # pywin32==305
 pyzmq==25.0.1
 requests==2.28.2
+seaborn=0.12.2
 six==1.16.0
 squarify==0.4.3
 stack-data==0.6.2
diff --git a/requirements-windows.txt b/requirements-windows.txt
index 19b3cb1..cc86ad3 100644
--- a/requirements-windows.txt
+++ b/requirements-windows.txt
@@ -48,6 +48,7 @@ pytz==2022.7.1
 pywin32==305
 pyzmq==25.0.1
 requests==2.28.2
+seaborn=0.12.2
 six==1.16.0
 squarify==0.4.3
 stack-data==0.6.2