diff --git a/.vscode/settings.json b/.vscode/settings.json
new file mode 100644
index 0000000..3445835
--- /dev/null
+++ b/.vscode/settings.json
@@ -0,0 +1,6 @@
+{
+  "[python]": {
+    "editor.defaultFormatter": "ms-python.black-formatter"
+  },
+  "python.formatting.provider": "none"
+}
diff --git a/dashboard7/main.py b/dashboard7/main.py
index 441defd..812c579 100644
--- a/dashboard7/main.py
+++ b/dashboard7/main.py
@@ -21,10 +21,21 @@ df = pd.DataFrame(
 )
 
 # define cluster colors
+# https://loading.io/color/feature/Spectral-10/
+COLORS = {
+    "0": "#9e0142",
+    "1": "#d53e4f",
+    "2": "#f46d43",
+    "3": "#fdae61",
+    "4": "#fee08b",
+    "5": "#e6f598",
+    "6": "#abdda4",
+    "7": "#66c2a5",
+    "8": "#3288bd",
+    "9": "#5e4fa2",
+}
 
-COLORS = {"0": "red", "1": "blue", "2": "grey"}
-
-X, y = make_blobs(n_samples=100, centers=3, n_features=2, random_state=0)
+X, y = make_blobs(n_samples=300, centers=3, n_features=2, random_state=0)
 
 cluster_df = pd.DataFrame(data=X, columns=["X", "Y"])
 cluster_df["cluster"] = [str(i) for i in y]
@@ -97,6 +108,21 @@ app.layout = html.Div(
                             children=[
                                 html.Div(
                                     [
+                                        dbc.Row(
+                                            [
+                                                dbc.Col(
+                                                    [
+                                                        dcc.Slider(
+                                                            1,
+                                                            10,
+                                                            1,
+                                                            value=3,
+                                                            id="slider_1",
+                                                        )
+                                                    ]
+                                                ),
+                                            ]
+                                        ),
                                         dbc.Row(
                                             [
                                                 dbc.Col(
@@ -106,7 +132,7 @@ app.layout = html.Div(
                                                     [dcc.Graph(id="graph_4")], width=4
                                                 ),
                                             ]
-                                        )
+                                        ),
                                     ],
                                     className="tab_content",
                                 )
@@ -143,8 +169,16 @@ def update_graph_2(min_value):
     Output("graph_3", "figure"),
     Output("graph_4", "figure"),
     Input("graph_3", "relayoutData"),
+    Input("slider_1", "value"),
 )
-def update_graph_3_and_4(selected_data):
+def update_graph_3_and_4(selected_data, sliderValue):
+    # forcing update of x, y and cluster_df with the proper am
+    X, y = make_blobs(
+        n_samples=100 * sliderValue, centers=sliderValue, n_features=2, random_state=0
+    )
+    cluster_df = pd.DataFrame(data=X, columns=["X", "Y"])
+    cluster_df["cluster"] = [str(i) for i in y]
+
     if selected_data is None or (
         isinstance(selected_data, dict) and "xaxis.range[0]" not in selected_data
     ):
@@ -163,7 +197,7 @@ def update_graph_3_and_4(selected_data):
         y="Y",
         color="cluster",
         color_discrete_map=COLORS,
-        category_orders={"cluster": ["0", "1", "2"]},
+        category_orders={"cluster": ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9"]},
         height=750,
     )
     fig3.update_layout(template="plotly_white", coloraxis_showscale=False)