EXPLORATORY DATA ANALYSIS OF DIABETES DATASET USING PYTHON

Abstract

Healthcare datasets hold vital information, which assists in detecting diseases and discovering patterns associated with health. In this project, Exploratory Data Analysis (EDA) will be carried out on the diabetes dataset using the Python programming language. The primary goal of the study will be to examine different medical features such as the glucose level, body mass index (BMI), insulin level, blood pressure, and age with respect to diabetes outcomes. Preprocessing steps were employed in order to deal with invalid data before analyzing the data. Different methods were applied for visualizing the features in the dataset, such as histograms, box plots, count plots, and heatmaps. Glucose level and BMI are two key factors that have a significant impact on diabetes outcomes, unlike the other features.