ISSS608 Group 10 Meeting Minutes

Project Meeting 2: R Shiny dashboard modules

Date: 04 Mar 2026

Time: 3:45pm – 4.15pm

In Attendance: Ng Meng Ye, Chandru Kolanchiyappan, Gautamgovan Elangovan

Agenda Items

  1. Discussion on R Shiny dashboard modules

    • Exploratory Data Analysis

    • Customer Segmentation (Clustering)

    • Predictive Modelling

1. R Shiny Dashboard Design (Storyboard Review)

The team reviewed the hand-drawn wireframes for the application. The dashboard will move beyond static plots to allow user-driven statistical testing.

Tab 1: Exploratory Data Analysis (The Dashboard)

  • Visuals: Implementation of Half-Eye graphs (combining density and boxplots) to show distributions of variables like Marital Status and Education Level.

  • Interactivity: Drop-down menus to filter by continuous variables (Transaction Count, Transaction Value).

Tab 2: Confirmatory Analysis (ANOVA/Kruskal-Wallis)

  • Feature: A dedicated page for group comparisons.

  • Interactivity: Users can select \(X\) and \(Y\) variables.

  • Statistical Choice: A toggle to switch between Parametric (ANOVA) and Non-Parametric (Kruskal-Wallis) tests depending on the data distribution.

Tab 3: Relationship Analysis (Correlation)

  • Feature: Interactive Scatter Plots and Correlation Matrices.

  • Interactivity: Toggle between Pearson (parametric) and Spearman/Kendall (non-parametric) correlation methods based on user selection.

Tab 4 & 5: Advanced Analytics

  • Clustering: User-defined cluster counts (\(k\) value) and variable selection for segmentation.

  • Predictive Model: UI for inputting hypothetical user data to predict Satisfaction or Transaction behavior.