ElizabethBaidoo/Elizabeth_Baidoo_Capstone

EDA of antimicrobial susceptibility in Gram-negative uropathogens in South West Nigeria # Antimicrobial susceptibility patterns of Gram-negative uropathogens : # Exploratory data analysis of a South West Nigeria tertiary hospital dataset,examining resistance patterns across organisms and antibiotics ## Dataset Source: Otaigbe, Idemudia; ELIKWU, CHARLES; Ebeigbe, Ejime (2023), “Dataset on Antibiotic susceptibility patterns of Gram negative uropathogens from patients in a tertiary hospital in South west Nigeria”, Mendeley Data, V1, Description: This dataset contains 3613 rows and 29 columns. Each row represents an antibiotic susceptibility test result for a bacterial isolate obtained from a patient sample. Key variables include sex, ward/clinic, specimen, culture, organisms, antibiotics tested, antimicrobial susceptibility results ## Objectives 1. To identify the most frequently isolated Gram-negative uropathogens 2. To determine the antimicrobial susceptibility profiles of the isolates 3. To determine the prevalence of multi-drug resistance among gram-negative isolates 4. To identify antimicrobial agents with comparatively high and low resistance rates among the gram-negative isolates ## Methodology Workflow: Tools:tidyverse, janitor, readxl, skimr, stringr, scales, ggplot2 ## Results and Data Presentation Refer to report (Project_Report_Elizabeth_Baidoo_capstone) ## Repository structure ├── data/ │ ├── raw/ # Original dataset (as sourced from Mendeley Data) │ └── processed/ # Cleaned dataset used for analysis ├── scripts/ # R scripts for cleaning, transformation, and analysis ├── outputs/ │ ├── figures/ # Charts and visualizations (refer to report) │ └── tables/ # Summary tables (refer to report ├── report/ # Full project report └── README.md ## How to Reproduce Clone this repository. Open the R project/scripts in RStudio (or your preferred R environment). Run the cleaning script(s) to reproduce the tidied dataset from the raw data. Run the analysis script(s) to reproduce the summ …