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assignments/assignments/assignment2.md

+# Assignment 2
+
+
+
+
+## Task 1: Working with Mongo - Advanced
+
+
+## Areas covered:
+- Timeseries Operation
+- Working with NoSQL
+- Working with Pandas
+
+## Description:
+You are given with a dataset of weather in the form of a JSON file. The end goal of the project is to create an API interface that will provide the following: 
+
+1.  Get the user who has the highest trip duration.
+2. Get the user who has used the service the most.
+3. Generate Excel Report based on `bike id`, `station name` and `start date`
+
+Sample Document:
+```json
+{
+  "tripduration": 889,
+  "start station id": 268,
+  "start station name": "Howard St & Centre St",
+  "end station id": 3002,
+  "end station name": "South End Ave & Liberty St",
+  "bikeid": 22794,
+  "usertype": "Subscriber",
+  "birth year": 1961,
+  "start station location": {
+    "type": "Point",
+    "coordinates": [
+      -73.99973337,
+      40.71910537
+    ]
+  },
+  "end station location": {
+    "type": "Point",
+    "coordinates": [
+      -74.015756,
+      40.711512
+    ]
+  },
+  "start time": {
+    "$date": "2016-01-01T00:01:06.000Z"
+  },
+  "stop time": {
+    "$date": "2016-01-01T00:15:56.000Z"
+  }
+}
+```
+
+Bonus Points: Use Mongo Aggregate framework
+
+### Tools to use: 
+1. Pycharm / VSCode
+2. Robo3T / Studio3T / MongoDB Compass
+3. PyMongo
+
+
+### Reference:
+https://www.mongodb.com/docs/manual/tutorial/query-documents/
+https://www.mongodb.com/docs/manual/reference/operator/aggregation-pipeline/
+https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.to_excel.html
+https://fastapi.tiangolo.com/advanced/custom-response/#fileresponse
+https://pymongo.readthedocs.io/en/stable/