This repository contains solutions for the Analytical Data Science Programmer Coding Assessment.

The objective of this assessment was to demonstrate proficiency in:

• SDTM dataset creation using {sdtm.oak}
• ADaM dataset derivation using {admiral}
• Regulatory-style TLG (Tables, Listings, and Graphs) generation
• Reproducible, well-documented, and clean R programming practices

All scripts were executed in a clean R session, and log files are included as evidence of error-free execution.

Objective: Create SDTM DS domain using {sdtm.oak}.

Contents:

• 01_create_ds_domain.R — Script to generate the DS domain
• ds.csv — Output SDTM dataset
• 01_create_ds_domain.log — Log file confirming error-free execution

Objective: Create ADaM ADSL dataset using {admiral}.

Contents:

• create_adsl.R — Script to generate ADSL dataset
• adsl.csv — Output ADaM dataset
• create_adsl.log — Log file confirming error-free execution

Objective: Generate regulatory-style AE summary outputs.

Contents:

• 01_create_ae_summary_table.R — Script for TEAE summary table
• 02_create_visualizations.R — Script for AE visualizations
• ae_summary_table.html — FDA-style AE table output
• ae_severity_plot.png — AE severity distribution plot
• top10_ae_ci.png — Top 10 AEs with 95% Clopper-Pearson CIs
• Log files for both scripts confirming error-free execution

Environment:

• R version ≥ 4.2.0
• Required packages:
  • admiral
  • sdtm.oak
  • gtsummary
  • ggplot2
  • dplyr
  • gt

Each script:

• Was executed in a clean R session
• Includes logging via sink() for traceability
• Produces reproducible outputs

Thank you for reviewing this submission.