Exploratory Data Analysis

Data Overview

This report provides a detailed summary of the dataset, which contains information on health indicators and the condition of diabetes in a population. This initial analysis offers an overview of the data structure, volume, and the nature of the variables.

Number of Observations and Variables

The dataset contains a total of 253,680 observations and includes 22 variables that represent different health indicators or demographic characteristics relevant to diabetes analysis.

Present Variables and data type

Variable	Type	Data Type	Description
Diabetes_binary	Target	Binary	0 = no diabetes, 1 = prediabetes or diabetes
HighBP	Feature	Binary	0 = no high BP, 1 = high BP
HighChol	Feature	Binary	0 = no high cholesterol, 1 = high cholesterol
CholCheck	Feature	Binary	0 = no cholesterol check in 5 years, 1 = yes cholesterol check in 5 years
BMI	Feature	Integer	Body Mass Index
Smoker	Feature	Binary	Have you smoked at least 100 cigarettes in your life? 0 = no, 1 = yes
Stroke	Feature	Binary	Ever told you had a stroke. 0 = no, 1 = yes
HeartDiseaseorAttack	Feature	Binary	Coronary heart disease (CHD) or myocardial infarction (MI) 0 = no, 1 = yes
PhysActivity	Feature	Binary	Physical activity in the past 30 days (excluding job) 0 = no, 1 = yes
Fruits	Feature	Binary	Consume fruit 1 or more times per day. 0 = no, 1 = yes
Veggies	Feature	Binary	Consume vegetables 1 or more times per day. 0 = no, 1 = yes
HvyAlcoholConsump	Feature	Binary	Heavy drinkers (men > 14 drinks/week, women > 7 drinks/week). 0 = no, 1 = yes
AnyHealthcare	Feature	Binary	Have any healthcare coverage. 0 = no, 1 = yes
NoDocbcCost	Feature	Binary	Did not see a doctor due to cost in the past 12 months. 0 = no, 1 = yes
GenHlth	Feature	Integer	General health self-assessment scale 1-5 (1 = excellent, 5 = poor)
MentHlth	Feature	Integer	Days of poor mental health in the last 30 days (scale 1-30)
PhysHlth	Feature	Integer	Days of poor physical health in the last 30 days (scale 1-30)
DiffWalk	Feature	Binary	Serious difficulty walking or climbing stairs. 0 = no, 1 = yes
Sex	Feature	Binary	0 = female, 1 = male
Age	Feature	Integer	13-level age category (1 = 18-24, 13 = 80 or older)
Education	Feature	Integer	Education level (scale 1-6, 1 = no school, 6 = college graduate)
Income	Feature	Integer	Income level (scale 1-8, 1 = less than 10,000, 8 = 75,000 or more)