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The objective is to diagnostically Analysis females at least 21 years old of Pima Indian heritage according to diabetes using Python based on certain diagnostic measurements (several medical predictor variables) included in the dataset. Several constraints were placed on the selection of these instances from a larger database.

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diabetes-patients-meiskill-project's Introduction

Diabetes-Patients-Meiskill-Project

"Patient Diabetes Analysis for females at least 21 years old of Pima Indian heritage ".

The objective: diagnostically Analysis females at least 21 years old of Pima Indian heritage according to diabetes based on certain diagnostic measurements (several medical predictor variables) included in the dataset.

Project Phases: 1- Data Cleaning
2- Data Analysis ->"Add Insights columns to dataset depending on dataset columns."
3- Data Visualization

the link of project Documentation: Patient Diabetes Analysis for females.pdf.

Insights:
1- Diabetes and non-Diabetes by Pregnancies.
Pregnancies_bar_chart 2- Diabetes and non-Diabetes by Glucose.
Glucose_bar_chart 3-Diabetes and non-Diabetes by Blood Pressure.
Blood_Pressure_bar_chart 4-Diabetes and non-Diabetes by Skin Thickness.
SkinThickness_bar_chart 5-Diabetes and non-Diabetes by Insulin
Insulin_bar_chart 6-Diabetes and non-Diabetes by BMI.
BMI_bar_chart 7-Diabetes and non-Diabetes by DiabetesPedigreeFunction.
DiabetesPedigreeFunction_bar_chart 8-Diabetes and non-Diabetes by Age.
Age_bar_chart

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