The intent of this project is to work with with information extracted from a municipal government data feed containing bids submitted for auction of property. The data set is provided in two comma-separated files:

1. eBid_Monthly_Sales.csv (larger set of 17,937 bids)
2. eBid_Monthly_Sales_Dec_2016.csv (smaller set of 179 bids)

Implemented using C++, the project focuses on the use of a binary search tree data structure to search, update, and delete the associated data while using timestamps to compare and contrast algorithm efficiency for the various operations.