R Cluster Analysis & Association Rules

I need to complete an assignment that calls for both cluster analysis and association-rule mining in R studios . You’ll receive the dataset as soon as we start.

For clustering, please write clean, well-commented code that explores sensible distance measures, settles on an appropriate algorithm (k-means, hierarchical, or any other choice you justify), visualises the groups, and offers a short interpretation of the results.

The association-rule task should prepare the data, extract rules with apriori (or an equivalent library), and highlight the most meaningful patterns by support, confidence, and lift, again with a brief interpretation.

Deliverables
• One R script or R Markdown file that runs end-to-end without manual tweaks
• A concise write-up (≈ 2 pages) explaining key steps, parameter choices, and insights

Please make sure the code runs on the current stable R release using CRAN packages such as tidyverse, cluster, arules, and ggplot2. Let me know your turnaround time and any questions you have once you bid.