CSC510 Software Engineering Group 37 Presents: Column Summaries

Objective

The objective of this repository is to replicate, in python, this code, which was originally written in Lua.

This code reads in a .csv file and generates summaries of the columns. For numeric (Num) columns, this is median (the middle value of a sorted list of numbers thus far seen) and standard deviation (a measure of the spread of numbers); note that Num is a reservoir sampler which keeps only a finite quantity of numbers. For symbolic (Sym) columns, this is mode (the most common symbol) and entropy (the effort required to recreate a signal).

For an example .csv in the required format, check out \data\auto93.csv

Running

• To install necessary packages, run pip install -r requirements.txt
• To run the program, navigate to \CSC510-HW_37 and run python code\Csv.py
• Tests are contained in \CSC510-HW_37\code\Tests.py

Example output is shown below:

Testing

The output of running \CSC510-HW_37\code\Tests.py is shown below:

Contributors

• M M Abid Naziri
• Nikhil Mehra
• Bella Samuelsson
• Parth Katlana
• Heidi Reichert