Featured Project: Consumer Preferences Analysis with JMP

A detailed look at a project where I used JMP to analyze consumer preferences and predict market trends.

Objective

  • Understand consumer dental-hygiene behavior (brushing, flossing) and related demographics using JMP.
  • Analyze consumer preferences and predict market trends using JMP statistical software.

Approach

  • Utilized JMP's statistical tools to analyze survey data, identify key consumer segments, and predict future buying behavior.
  • Created visualizations to communicate findings effectively.

Results

  • Identified key consumer segments and predicted market trends with 85% accuracy.
  • Improved marketing strategies based on data-driven insights.

Methods

  • Descriptive analytics: Histogram (Salary), Bar Charts (Gender, Marital Status)
  • Relationships: Scatterplots (Floss Cost vs Age; Salary vs Age) with fit lines + 3D scatter
  • Bubble Plot: Salary vs Age sized by Years in Current Position; colored by Gender
  • Clustering: K-Means (k=3) on Age, Years at Current Employer, Years in Current Position + Biplot/3D
  • Decision Tree (Partition): Predict Brush using Gender & Age
  • Regression: Salary ~ Age (linear fit; model fit commentary)

Key Findings

  • Salary distribution shows a few high outliers; central tendency described in report.
  • Gender and marital-status composition summarized via bar charts.
  • Salary generally increases with age; floss cost is flat across ages (fixed price).
  • Three consumer segments emerge by age/tenure (younger/short-tenure vs. older/long-tenure).
  • Brushing frequency differs more by age group than gender.
  • Linear model explains a small portion of salary variance; age is a weak sole predictor.

Project Files

Dataset: Consumer Preferences

Download the dataset in JMP format:

https://www.dropbox.com/scl/fi/nwaw0b6p2xk2qty7mfzwt/Consumer-Preferences-1.jmp?rlkey=0q6rskp6sl4kynez1nefb20fl&st=nn25a7r1&dl=0

Download the dataset in Excel format

https://www.dropbox.com/scl/fi/bmp25s8lecenvjsft2ow1/Consumer-Preferences.xlsx?rlkey=vpocntk1eufy4f8si94syqsx8&st=8mtmunuy&dl=0

📑 JMP Consumer Preferences Analysis Report

This PDF presents an 8-part case study using JMP for exploratory analysis, clustering, regression, and predictive modeling of consumer behavior.

It features rich visualizations—including histograms, bar charts, pie charts, scatterplots, bubble plots, and decision trees—constructed entirely in JMP software. The analysis explores demographics, salary patterns, spending behavior, segmentation, and brushing habits, turning raw survey data into actionable business strategies.

Jmp Consumer Analysis 2 1 Pdf
PDF – 1.1 MB 0 downloads

🔎How to View & Understand This Project?

To explore the Consumer Preferences Analysis, follow these steps:

  1. Download the Dataset

    • Choose either the JMP file (best for JMP software users) or the Excel file (best for Excel or BI tools).

    • These files contain the raw consumer data used in the analysis.

  2. Open the PDF Report

    • The PDF provides an 8-part structured case study, walking through exploratory data analysis, clustering, regression, and predictive modeling.

    • It also explains the insights derived from demographics, spending behavior, and segmentation.

  3. Explore the Visualizations

    • The report includes histograms, bar charts, pie charts, scatterplots, bubble plots, and decision trees, all constructed in JMP software.

    • These visuals make it easy to follow how raw data is transformed into business insights.

Project authenticity

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