Some queries and really low res prototype for visual analytics dashboard.

src/data/database.py

@@ -223,5 +223,17 @@ class Database:
 				property_id
 		""")
 
-
-
+	# Anzahl der extrahierten properties pro Exktraktionsvorgang
+	def properties_per_extraction(self, property_id):
+		return self.connection.sql("""
+			SELECT
+				COUNT(property_id),
+				strftime(created_at, '%Y-%m-%d') AS date
+			FROM
+			  consultancy_d.extractions
+			WHERE
+			  type == 'calendar'
+			GROUP BY
+				date
+			ORDER BY date ASC
+		""""