SPDashboard.py

import streamlit as st
import pandas as pd
import plotly.graph_objects as go

st.title('Stroke Prediction Dashboard')
st.markdown('The dashboard will help a researcher to get to know more about the given datasets and it’s output')

# Load data
data = pd.read_csv('demo_data_set.csv')

# SideBar Content
st.sidebar.title('Select Visual Charts')
chart_visual = st.sidebar.selectbox('Select Charts/Plot type', ('Line Chart','Bar Chart','Bubble Chart'))

st.sidebar.markdown('Select any of the status accordingly')
check = st.sidebar.radio('Show analysis by...',['Smoking','Blood Pressure','Cholesterol level','Obesity'], index=0)

if check == 'Smoking':
    selected_status = st.sidebar.selectbox('Select Smoking Status', options=['Formerly_Smoked', 'Smoked','Never_Smoked', 'Unknown'])

    fig = go.Figure()

    if chart_visual == 'Line Chart':
        if selected_status == 'Formerly_Smoked':
            fig.add_trace(go.Scatter(x = data.Country, y = data.formerly_smoked, mode = 'lines', name = 'Formerly_Smoked'))
        elif selected_status == 'Smoked':
            fig.add_trace(go.Scatter(x=data.Country, y = data.Smokes, mode = 'lines', name = 'Smoked'))
        elif selected_status == 'Never_Smoked':
            fig.add_trace(go.Scatter(x=data.Country, y = data.Never_Smoked, mode = 'lines', name = 'Never_Smoked'))
        else:
            fig.add_trace(go.Scatter(x=data.Country, y=data.Unknown, mode='lines', name='Unknown'))

    elif chart_visual == 'Bar Chart':
        if selected_status == 'Formerly_Smoked':
            fig.add_trace(go.Bar(x = data.Country, y = data.formerly_smoked, name = 'Formerly_Smoked'))
        elif selected_status == 'Smoked':
            fig.add_trace(go.Bar(x=data.Country, y = data.Smokes, name = 'Smoked'))
        elif selected_status == 'Never_Smoked':
            fig.add_trace(go.Bar(x=data.Country, y = data.Never_Smoked, name = 'Never_Smoked'))
        else:
            fig.add_trace(go.Bar(x=data.Country, y=data.Unknown, name='Unknown'))

    else:
        if selected_status == 'Formerly_Smoked':
            fig.add_trace(go.Scatter(x = data.Country, y = data.formerly_smoked, mode = 'markers', marker_size=[40, 60, 80, 60, 40, 50], name = 'Formerly_Smoked'))
        elif selected_status == 'Smoked':
            fig.add_trace(go.Scatter(x=data.Country, y = data.Smokes, mode = 'markers', marker_size=[40, 60, 80, 60, 40, 50], name = 'Smoked'))
        elif selected_status == 'Never_Smoked':
            fig.add_trace(go.Scatter(x=data.Country, y = data.Never_Smoked, mode = 'markers', marker_size=[40, 60, 80, 60, 40, 50],name = 'Never_Smoked'))
        else:
            fig.add_trace(go.Scatter(x=data.Country, y=data.Unknown, mode='markers', marker_size=[40, 60, 80, 60, 40, 50], name='Unknown'))

    st.plotly_chart(fig, use_container_width=True)

elif check == 'Blood Pressure':
    fig = go.Figure()
    if chart_visual == 'Line Chart':
        fig.add_trace(go.Scatter(x=data.Country, y=data.Blood_Pressure, mode = 'lines', name ='Stroke due to High Blood Pressure'))
    elif chart_visual == 'Bar Chart':
        fig.add_trace(go.Bar(x=data.Country, y=data.Blood_Pressure, name ='Stroke due to High Blood Pressure'))
    else:
        fig.add_trace(go.Scatter(x=data.Country, y=data.Blood_Pressure, mode = 'markers', marker_size=[40, 50, 60, 70, 60, 50],name ='Stroke due to High Blood Pressure'))
    st.plotly_chart(fig, use_container_width=True)

elif check == 'Cholesterol level':
    fig = go.Figure()
    if chart_visual == 'Line Chart':
        fig.add_trace(go.Scatter(x=data.Country, y=data.Cholesterol, mode = 'lines', name ='Stroke due to High Cholesterol level'))
    elif chart_visual == 'Bar Chart':
        fig.add_trace(go.Bar(x=data.Country, y=data.Cholesterol, name ='Stroke due to High Cholesterol level'))
    else:
        fig.add_trace(go.Scatter(x=data.Country, y=data.Cholesterol, mode = 'markers', marker_size=[40, 50, 60, 70, 60, 50],name ='Stroke due to High Cholesterol level'))
    st.plotly_chart(fig, use_container_width=True)

elif check == 'Obesity':
    fig = go.Figure()
    if chart_visual == 'Line Chart':
        fig.add_trace(go.Scatter(x=data.Country, y=data.Obesity, mode = 'lines', name ='Stroke due to High Obesity level'))
    elif chart_visual == 'Bar Chart':
        fig.add_trace(go.Bar(x=data.Country, y=data.Obesity, name ='Stroke due to High Obesity level'))
    else:
        fig.add_trace(go.Scatter(x=data.Country, y=data.Obesity, mode = 'markers', marker_size=[40, 50, 60, 70, 60, 50],name ='Stroke due to High Obesity level'))
    st.plotly_chart(fig, use_container_width=True)

else:
    st.warning('Check the required status box for display')