diff --git a/content/course/modelisation/0_preprocessing.Rmd b/content/course/modelisation/0_preprocessing.Rmd
index a7a068602..c9e00813c 100644
--- a/content/course/modelisation/0_preprocessing.Rmd
+++ b/content/course/modelisation/0_preprocessing.Rmd
@@ -192,24 +192,23 @@ colors = ['#FF0000', '#0000FF']
 ```
 
 ```{python, include = TRUE, echo=TRUE}
-fig_plotly = go.Figure()
-
-for i in range(2):
-    tempdf = df.loc[df['winner'].astype(str) == limits[i]]
-    fig_plotly.add_trace(go.Scattergeo(
-            locationmode = 'USA-states',
-            lon = tempdf['lon'],
-            lat = tempdf['lat'],
-            text = tempdf['text'],
-            name = 'Winner: {}'.format(limits[i]),
-            marker = dict(
-            size = tempdf['CENSUS_2010_POP']/6000,
-            color = colors[i],
-            opacity=0.5,
-            line_color='rgb(40,40,40)',
-            line_width=0.5,
-            sizemode = 'area'
-            )))
+df['color'] = df['winner'].replace(color_dict)
+df['size'] = df['CENSUS_2010_POP']/6000
+
+fig_plotly = go.Figure(data=go.Scattergeo(
+              locationmode = 'USA-states',
+    lon=df["lon"], lat=df["lat"],
+    text = df["text"],
+    mode = 'markers',
+    marker_color = df["color"],
+    marker_size = df['size'],
+                  marker = dict(
+              opacity=0.5,
+              line_color='rgb(40,40,40)',
+              line_width=0.5,
+              sizemode = 'area'
+                  )
+    ))
 
 fig_plotly.update_layout(
         title_text = "Reproduction of the \"Acres don't vote, people do\" map <br>(Click legend to toggle traces)",
@@ -219,7 +218,6 @@ fig_plotly.update_layout(
             landcolor = 'rgb(217, 217, 217)',
         )
     )
-
 ```