Analysing Group Data

group.py

@@ -2,4 +2,52 @@
 
 # Your code to go here...
 
-my_group =
+my_group = {
+"Jill": {
+"age": 26,
+"job": "biologist",
+"relations": {
+"Zalika": "friend",
+"John": "partner"
+        }
+    },
+"Zalika": {
+"age": 28,
+"job": "artist",
+"relations": {
+"Jill": "friend"
+        }
+    },
+"John": {
+"age": 27,
+"job": "writer",
+"relations": {
+"Jill": "partner"
+        }
+    },
+"Nash": {
+"age": 34,
+"job": "chef",
+"relations": {
+"John": "cousin",
+"Zalika": "landlord"
+        }
+    }
+}
+
+max_age = (max([value["age"] for value in my_group.values()]))
+print("The maximum age of people in this group is " + str(max_age))
+
+len_relations = [len(value['relations']) for value in my_group.values()]
+mean_relations = (sum(len_relations)/len(len_relations))
+print("The mean number of relations among members of the group is " + str(mean_relations))
+
+age_one_relation = [value['age'] for value in my_group.values() if len(value['relations']) >=1]
+max_age_one_relation = str(max(age_one_relation))
+print("The maximum age of people in the group that have at least one relation is " + max_age_one_relation)
+
+import json
+
+group_file = json.dumps(my_group, indent=4)
+
+print(group_file)