AIM-PIbd-32-Borovkov-M-V/Lab_1/lab1.ipynb

In [48]:

import pandas as pd

df = pd.read_csv("../data/healthcare-dataset-stroke-data.csv", index_col="id")

data = df.copy()
hypertension_df = data[data["hypertension"] == 1]
heart_disease_df = data[data["heart_disease"] == 1]

hypertension_df.groupby(["gender"]).size().plot(kind='pie', y='gender', autopct='%1.0f%%')

Out[48]:

<Axes: >

In [49]:

heart_disease_df.groupby(["gender"]).size().plot(kind='pie', y='gender', autopct='%1.0f%%')

Out[49]:

<Axes: >

In [50]:

hypertension_df.plot.hist(column=["age"], bins=80)

Out[50]:

<Axes: ylabel='Frequency'>

In [51]:

heart_disease_df.plot.hist(column=["age"], bins=80)

Out[51]:

<Axes: ylabel='Frequency'>

In [52]:

heart_disease_df.groupby(["work_type"]).size().plot(kind='pie', y='work_type', autopct='%1.2f%%')

Out[52]:

<Axes: >

In [53]:

hypertension_df.groupby(["work_type"]).size().plot(kind='pie', y='work_type', autopct='%1.2f%%')

Out[53]:

<Axes: >

In [53]: