GitHub / srimallipudi / Monte-Carlo-Simulation-and-Risk-Analysis-for-Grocery-Store-Revenue
This repository contains a Monte Carlo simulation and risk analysis model developed to analyze customer spending and daily revenue fluctuations for a grocery store across four product categories: fresh baked goods, meat and dairy, produce, and frozen food.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/srimallipudi%2FMonte-Carlo-Simulation-and-Risk-Analysis-for-Grocery-Store-Revenue
PURL: pkg:github/srimallipudi/Monte-Carlo-Simulation-and-Risk-Analysis-for-Grocery-Store-Revenue
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 942 KB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago
Topics: monte-carlo-simulation, risk-analysis, spreadsheet-modeling, statistical-analysis, what-if-analysis