MBA-by-RFM 0.1.0

A market basket analysis for preprocessing data by RFM

RFM Market Basket Analysis

Overview

The MBA-by-RFM package provides comprehensive tools for performing RFM analysis and generating market basket analysis using Apriori, FP-Growth, and ECLAT algorithms. It also includes powerful data visualizations such as network graphs, heatmaps, and RFM segment distribution charts.

Features

• RFM Analysis: Segment customers based on Recency, Frequency, and Monetary values.
• Market Basket Analysis: Generate association rules using Apriori, FP-Growth, and ECLAT algorithms.
• Data Visualization: Plot association rules as heatmaps, network diagrams, and RFM segments charts.

Installation

You can install the package directly from PyPI using pip:

Usage

Import the Main Function: The main analysis workflow can be executed by importing the main function:

from rfm_market_basket_analysis.main import main
import pandas as pd

# Load your transactional dataset
df = pd.read_csv('transactions.csv')

# Run the main analysis
main(df)