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assignments/assignment3.md

+# Assignment 3
+
+
+## Task 1: Working with Mongo - Advanced
+
+
+## Areas covered:
+- Working with NoSQL
+- Working with Pandas
+
+
+## Description:
+
+You are given with a dataset of a restaurant review 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. Business name with maximum number of highest average review.
+2. Which cuisine has the highest number of restaurants?
+3. Generate Excel Report based on Cuisine, Name and borough
+Sample Document:
+```json
+{
+  "address": {
+    "building": "120",
+    "coord": [
+      -73.9998042,
+      40.7251256
+    ],
+    "street": "Prince Street",
+    "zipcode": "10012"
+  },
+  "borough": "Manhattan",
+  "cuisine": "Bakery",
+  "grades": [
+    {
+      "date": {
+        "$date": "2014-10-17T00:00:00.000Z"
+      },
+      "grade": "A",
+      "score": 11
+    },
+    {
+      "date": {
+        "$date": "2013-09-18T00:00:00.000Z"
+      },
+      "grade": "A",
+      "score": 13
+    },
+    {
+      "date": {
+        "$date": "2013-04-30T00:00:00.000Z"
+      },
+      "grade": "A",
+      "score": 7
+    },
+    {
+      "date": {
+        "$date": "2012-04-20T00:00:00.000Z"
+      },
+      "grade": "A",
+      "score": 7
+    },
+    {
+      "date": {
+        "$date": "2011-12-19T00:00:00.000Z"
+      },
+      "grade": "A",
+      "score": 3
+    }
+  ],
+  "name": "Olive'S",
+  "restaurant_id": "40363151"
+}
+```
+
+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/
+
+
+
+## Task 2: Working with Timeseries
+
+You are given with a dataset of weather in the form of a CSV file. The end goal of the project is to create an API interface that will provide the following:
+
+1. Get daily, monthly, weekly and monthly aggregate (min, max, and average) of the data and generate report in Excel format.
+
+Sample Document:
+
+|Datetime        |AEP_MW|
+|----------------|------|
+|31/12/2004 01:00|13478 |
+|31/12/2004 02:00|12865 |
+
+### Tools to use: 
+1. Pycharm / VSCode
+2. Pandas 
+
+### Reference:
+https://kairosdb.github.io/docs/restapi/QueryMetrics.html
+https://pypi.org/project/kairosdb-python/
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