consumer-behavior

A data analysis project exploring consumer behavior and sales trends through EDA using Python. Includes visualizations and insights derived from retail shopping data.

huff: Market Area Analysis in Python

Analyze consumer preferences to segment products and guide product, pricing, and portfolio strategy using affinity-based data.

End-to-end customer behavior data analysis project using Python, SQL, and Power BI. Includes data cleaning, EDA, business queries, and an interactive dashboard to uncover customer segments, revenue trends, and actionable business insights.

Open Geodemographic Classification of Consumer Behaviour (England & Wales)

Flask-based experimental survey system for comparing AI-generated and human-generated cosmetic product content.

Reproducible microeconomic and retail analytics project using Grupo Bimbo Kaggle demand data, Costa Rican retail prices, and exploratory consumer survey evidence.

A data analysis project exploring online consumer behavior and FOMO effects using EDA on survey data.

👁️ 天眼 — Multi-agent population simulation for China market forecasting. 10K+ virtual consumers.

A highly customizable tool for generating chat record screenshots, designed for academic researchers preparing experimental stimuli and survey materials.可高度定制的聊天记录生成工具。面向科研场景，用于准备实验材料或问卷中使用的对话截图。支持样式独立调节、布局预设、JSON 导出/导入。

Survey-driven analysis of 162 Nigerian consumers showing durability, not price, drives phone purchases, with a named brand at highest switching risk.

Analysis of restaurant ratings in Mexico using Power BI, exploring consumer behavior, dining preferences, and service insights from 2012 data.

🔬 Local-first Marketing Research Workbench: 36 Statistical Tests, PROCESS Mediation, Literature Mining & APA 7th Tables | 营销与消费者行为实证工作台

Two PLS-SEM studies on Coca-Cola purchase intention using primary survey data in SmartPLS, covering measurement and structural models, bootstrapping, and mediation analysis.

Statistical analysis of credit card purchase behavior across 1,603 consumers — testing whether social media exposure predicts dominant card selection using Chi-Square testing, demographic profiling, and platform-specific breakdowns in Excel.

Privacy-aware ML pipeline for consumer behavior mining, customer segmentation, promotion-response prediction, and low-interruption recommendations.

How effective are TV commercials without sound? In Muted Messages, I review commercials on mute, sharing my opinion on how effective they care at visually communicating their messages. In this repository, I used Claude to codify my three-category rating scheme and convert my reviews to clean data.

Factors influencing green product purchase decisions among residents of Vinhomes Grand Park urban area

A historical data study of video game sales and ratings across global markets. Using Pandas and SciPy, I identified life-cycle patterns and distinct regional preferences between Western and Japanese consumers. This predictive engine helps optimize inventory and advertising budgets based on regional platform trends.

🧠 Marketing psychology toolkit — 50+ cognitive biases, persuasion principles & behavioral economics applied to web copy, pricing, UX and campaigns. With implementation examples.