IBM_Applied_Data_Science_Capstone_Project/app.py at main · hashexplaindata/IBM_Applied_Data_Science_Capstone_Project · GitHub

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import dash
from dash import dcc, html
from dash.dependencies import Input, Output
import plotly.express as px
import pandas as pd

# Load data
spacex_df = pd.read_csv("spacex_launch_dash.csv")
max_payload = spacex_df['Payload Mass (kg)'].max()
min_payload = spacex_df['Payload Mass (kg)'].min()

# Create Dash app
app = dash.Dash(__name__)

# App layout
app.layout = html.Div(children=[
    html.H1('SpaceX Launch Records Dashboard',
            style={'textAlign': 'center', 'color': '#503D36', 'font-size': 40}),

    # Task 1: Launch Site Dropdown
    dcc.Dropdown(
        id='site-dropdown',
        options=[
            {'label': 'All Sites', 'value': 'ALL'},
            {'label': 'CCAFS LC-40', 'value': 'CCAFS LC-40'},
            {'label': 'VAFB SLC-4E', 'value': 'VAFB SLC-4E'},
            {'label': 'KSC LC-39A', 'value': 'KSC LC-39A'},
            {'label': 'CCAFS SLC-40', 'value': 'CCAFS SLC-40'}
        ],
        value='ALL',
        placeholder="Select a Launch Site",
        searchable=True
    ),

    html.Br(),

    # Task 2: Pie Chart
    html.Div(dcc.Graph(id='success-pie-chart')),
    html.Br(),

    html.P("Payload range (Kg):"),

    # Task 3: Payload Range Slider
    dcc.RangeSlider(
        id='payload-slider',
        min=0,
        max=10000,
        step=1000,
        marks={i: f'{i}' for i in range(0, 10001, 1000)},
        value=[min_payload, max_payload]
    ),

    html.Br(),

    # Task 4: Scatter Chart
    html.Div(dcc.Graph(id='success-payload-scatter-chart')),
])

# Task 2: Pie Chart Callback
@app.callback(
    Output(component_id='success-pie-chart', component_property='figure'),
    Input(component_id='site-dropdown', component_property='value')
)
def update_pie_chart(selected_site):
    if selected_site == 'ALL':
        fig = px.pie(
            spacex_df,
            names='Launch Site',
            title='Total Success Launches by Site'
        )
    else:
        filtered_df = spacex_df[spacex_df['Launch Site'] == selected_site]
        fig = px.pie(
            filtered_df,
            names='class',
            title=f'Success Rate for {selected_site}'
        )
    return fig

# Task 4: Scatter Chart Callback
@app.callback(
    Output(component_id='success-payload-scatter-chart', component_property='figure'),
    [Input(component_id='site-dropdown', component_property='value'),
     Input(component_id='payload-slider', component_property='value')]
)
def update_scatter_chart(selected_site, payload_range):
    low, high = payload_range
    filtered_df = spacex_df[(spacex_df['Payload Mass (kg)'] >= low) &
                            (spacex_df['Payload Mass (kg)'] <= high)]

    if selected_site != 'ALL':
        filtered_df = filtered_df[filtered_df['Launch Site'] == selected_site]

    fig = px.scatter(
        filtered_df,
        x='Payload Mass (kg)',
        y='class',
        color='Booster Version Category',
        title='Payload vs. Mission Outcome',
        labels={'class': 'Mission Success'},
        hover_data=['Launch Site']
    )
    return fig

if __name__ == '__main__':
    app.run(debug=True)