Heart Attack Analysis using Python- A Case Study
When a heart attack occurs, the heart muscle that has lost blood supply begins to suffer injury. The amount of damage to the heart muscle depends on the size of the area supplied by the blocked artery and the time between injury and treatment. Heart muscle damaged by a heart attack heals by forming scar tissue.
In this session, we are taken a popular dataset from Kaggle,
Heart_Attack_Analysis and will be analyzing this dataset based on the information provided. At the end we will get to many conclusions that for what are the reasons which can effect the heart attack from this Exploratory Data Analysis.
List of all the python libraries that are required:
opendatasetswill be required for downloading datasets from online sources.
pandaswill be required to work with data in tabular representation.
numpywill be required to round the data in the correlation matrix.
warningwill be required to ignore all warnings.
plotlyrequired for data visualization.
Downloading the Dataset
jovian opendatasets to download our dataset from
!pip install jovian opendatasets --upgrade --quiet