update

pages/4_Test.py

@@ -0,0 +1,45 @@
+import folium
+import matplotlib.pyplot as plt
+import pandas as pd
+
+boroughs_count_2022_dec_df = "https://raw.githubusercontent.com/yunusserhat/data/main/data/boroughs_count_df_2022_dec.geojson"
+mps_hate_2022_dec_df = "https://raw.githubusercontent.com/yunusserhat/data/main/data/mps_hate_2022_dec_count.geojson"
+
+# Merging the datasets based on boroughs
+merged_df = pd.merge(boroughs_count_2022_dec_df[['geo.name', 'count']],
+                     mps_hate_2022_dec_df[['borough', 'Hate_Crime_Number']],
+                     left_on='geo.name', right_on='borough')
+
+
+# Initialize the map centered around London
+m = folium.Map(location=[51.5074, -0.1278], zoom_start=10)
+
+boroughs_count_2022_dec_df = "https://raw.githubusercontent.com/yunusserhat/data/main/data/boroughs_count_df_2022_dec.geojson"
+
+# Choropleth map for Hate Tweets by Borough
+folium.Choropleth(
+    geo_data=boroughs_count_2022_dec_df,
+    data=boroughs_count_2022_dec_df,
+    columns=["geo.name", "count"],
+    key_on="feature.properties.geo.name",
+    fill_color="YlOrRd",
+    fill_opacity=0.7,
+    line_opacity=0.2,
+    legend_name="Number of Hate Tweets by Borough",
+    name="Hate Tweets",
+    highlight=True
+).add_to(m)
+
+# Adding popups to each borough
+for idx, row in boroughs_count_2022_dec_df.iterrows():
+    popup_content = f"<strong>{row['geo.name']}</strong><br>Number of Hate Tweets: {row['count']}"
+    folium.Popup(popup_content).add_to(
+        folium.GeoJson(row['geometry']).add_to(m)
+    )
+
+# Adding a layer control
+folium.LayerControl().add_to(m)
+
+# Displaying the map
+m.to_streamlit()
+