Introduction
This Dataset was cleaned, visualized and analyzed using only Microsoft excel.
Data Structure
This dataset originated from the healthcare sector. The dataset contains Heart Attack Incident of Patients with different medical history, social economic, Family backgrounds etc
Data Cleaning and Preparation
The data cleaning and preparation phase was done to ensure dataset was free of blank spaces
1) Age and Gender of Heart Attack Patient
In the dataset the gender depicted as others had higher heart attack incidence for the Adult age group, while the Male and female which showed the same heart attack incidence for the adult age group. Lastly all the youths from the different gender had the same heart attack incidence
2) Physical Activity Level of each BMI
In the dataset the Physical activity level of each BMI was assessed, the Patients with High physical activity level had low BMI, the Patients with medium BMI had Medium BMI and Lastly Patients with Low physical activity level had high BMI.
3) Gender of Heart Attack Patient
In the dataset the 14013,34% of the patients with heart attack identified as other in the gender section, female Patients were 13602,33% and Male patients were also13603, 33%.
4) Smoking Status of Heart Attack Patients
In the dataset former smoker had higher heart attack incident, seconded by non-smokers and lastly smokers indicated the least amount of heart attack incidence.
Dashboard:
