LA Assignment Presentation

Introduction

• This project analyzes a diabetes dataset
• Aim: Compare health factors using slope chart
• Visualization helps understand differences clearly

Dataset

• Dataset used: Diabetes dataset
• Key variables:
  • Glucose
  • BMI
  • Age
  • Insulin
  • Blood Pressure
• Outcome variable:
  • 0 → Non-Diabetic
  • 1 → Diabetic

Objective

• Compare two groups:
  • Non-Diabetic
  • Diabetic
• Identify variation in health parameters

Load Libraries

- Libraries are packages that provide functions.
- We use:
- ggplot2 → for plotting graphs
- dplyr → for data manipulation
- tidyr → for reshaping data
- ggrepel → to avoid overlapping labels

Load Dataset

• The dataset is loaded using read.csv()

• It reads data from a file into R

Data Transformation

• Raw data cannot be directly used for slope chart

• We calculate average values for each group

Explanation:

• group_by() → separates data into groups

• summarise() → calculates mean values

• na.rm = TRUE → removes missing values

Convert Data Format

• Data is converted from wide format to long format

• Required for ggplot slope chart

Explanation:

• pivot_longer() → reshapes data

• Makes it easier to plot multiple variables

Convert Outcome Labels

• Replace numeric values with meaningful labels

Slope Chart Visualization

• Slope chart shows change between two categories

Explanation:

• geom_line() → connects values

• geom_point() → marks data points

• geom_text_repel() → avoids overlapping labels

• labs() → adds title and axis labels

Insights

• Glucose is higher in diabetic patients

• BMI shows increasing trend

• Age is slightly higher in diabetic group

• Insulin varies significantly

• Blood Pressure shows minor variation

Conclusion

• Slope chart effectively compares two groups

• Diabetic patients show higher health risk indicators

• Visualization improves understanding of patterns