CLI-Based Housing Data Analysis System

This project is a Command Line Interface (CLI) program designed to read and analyze housing data from a CSV file. The system provides functionalities for descriptive analysis, data search, and sorting, making it a versatile tool for basic data exploration.

Features

1. Descriptive Analysis

The program groups and summarizes data based on specific attributes, such as:

Location (primary and secondary)
Housing type
Number of rooms, bathrooms, and car parks
Area and price
It calculates the frequency, maximum, minimum, and average values for each attribute.

2. Data Search

Users can search for specific data points by column, such as location, housing type, or furnishing status. Partial matches and exact matches are supported for flexible searching.

3. Sorting & Filtering

The system sorts data by selected criteria, helping users identify trends or patterns, such as grouping data by location or type of property.

How It Works

Data Input:
The program reads data from a CSV file named file.csv. Each row represents a housing entry with attributes like location, price, number of rooms, etc.
Descriptive Functions:
The program analyzes data and provides a summary, including maximum, minimum, and average calculations.
Search and Sorting:
Data is sorted based on the selected column, and users can search for entries matching their query.
User Interaction:
Users interact with the program through a menu-driven interface:
- Option 1: Analyze data based on a chosen column.
- Option 2: Search data by specific criteria.
- Option 0: Exit the program.

Technologies Used

C Programming Language
File Handling (via stdio.h) for reading CSV files
Structs and Arrays for efficient data management

How to Run

Compile the program using a C compiler, for example:
```
gcc -o housing_analysis housing_analysis.c
```

Kuurianse/CLI-Based-Housing-Data-Analysis-System