dashboard code.py

# Import required libraries
import pandas as pd
import dash
import dash_html_components as html
import dash_core_components as dcc
from dash.dependencies import Input, Output
import plotly.express as px

# Read the airline data into pandas dataframe
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 a dash application
app = dash.Dash(__name__)

# Create an app layout
app.layout = html.Div(children=[html.H1('SpaceX Launch Records Dashboard',
                                        style={'textAlign': 'center', 'color': '#503D36',
                                               'font-size': 40}),
                                # TASK 1: Add a dropdown list to enable Launch Site selection
                                # The default select value is for ALL sites
                                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='All Sites', 
                                    searchable=True
                                ),
                                html.Br(),

                                # TASK 2: Add a pie chart to show the total successful launches count for all sites
                                # If a specific launch site was selected, show the Success vs. Failed counts for the site
                                html.Div(dcc.Graph(id='success-pie-chart')),
                                html.Br(),

                                html.P("Payload range (Kg):"),
                                # TASK 3: Add a slider to select payload range
                                dcc.RangeSlider(id='payload-slider',
                                min=0, max=10000, step=1000, value=[min_payload, max_payload]),

                                # TASK 4: Add a scatter chart to show the correlation between payload and launch success
                                html.Div(dcc.Graph(id='success-payload-scatter-chart')),
                                ])

# TASK 2:
# Add a callback function for `site-dropdown` as input, `success-pie-chart` as output
@app.callback(
    Output(component_id='success-pie-chart', component_property='figure'),
    Input(component_id='site-dropdown', component_property='value')
    )

def get_pie_chart(entered_site):
    if entered_site == 'ALL':
        fig = px.pie(spacex_df, values='class',
        names='Launch Site', title='Total Success Launches by Site')
        return fig
    else:
        data = spacex_df[spacex_df['Launch Site'] == entered_site]
        data = data.groupby('class')['class'].count()
        fig = px.pie(data, values='class', names=data.index, 
        title=f'Total Success Launches for site {entered_site}')
        return fig

# TASK 4:
# Add a callback function for `site-dropdown` and `payload-slider` as inputs, `success-payload-scatter-chart` as output
@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 get_scatter_plot(entered_site, payload_range):
    if entered_site == 'ALL':
        data = spacex_df
        data = data[spacex_df['Payload Mass (kg)'] >= payload_range[0]]
        data = data[spacex_df['Payload Mass (kg)'] <= payload_range[1]]
        fig = px.scatter(data, x='Payload Mass (kg)',
        y='class', color="Booster Version Category",
         title='Correlation between Payload and Success for all Sites')
        return fig
    else:
        data = spacex_df[spacex_df['Launch Site'] == entered_site]
        data = data[spacex_df['Payload Mass (kg)'] >= payload_range[0]]
        data = data[spacex_df['Payload Mass (kg)'] <= payload_range[1]]
        fig = px.scatter(data, x='Payload Mass (kg)',
        y='class', color="Booster Version Category",
        title=f'Correlation between Payload and Success for {entered_site}')
        return fig

# Run the app
if __name__ == '__main__':
    app.run_server()