Update assignment2.md

assignments/assignment2.md

@@ -66,3 +66,35 @@ 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
+
+
+## Areas covered:
+- Timeseries Operation
+- Working with Timeseries
+- Working with Pandas
+
+## Description:
+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:
+
+
+|Formatted Date               |Summary      |Precip Type|Temperature C|Apparent Temperature C|Humidity|Wind Speed (km/h)|Wind Bearing (degrees)|Visibility (km)|Loud Cover|Pressure (millibars)|
+|-----------------------------|-------------|-----------|---------------|------------------------|--------|-----------------|----------------------|---------------|----------|--------------------|
+|2006-04-01 00:00:00.000 +0200|Partly Cloudy|rain       |9.472222222    |7.388888889             |0.89    |14.1197          |251                   |15.8263        |0         |1015.13             |
+
+
+### Tools to use: 
+1. Pycharm / VSCode
+2. Pandas 
+
+### Reference:
+https://kairosdb.github.io/docs/restapi/QueryMetrics.html
+https://pypi.org/project/kairosdb-python/
+