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nvtbsod / server.py

Update server.py

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# server.py
import matplotlib.pyplot as plt
from shiny import render, ui, reactive
import faicons as fa
#from fontawesomefree import icons
import numpy as np
from utils import conlogo, vendorlogo
from utils import create_pie_chart, create_bar_chart, create_bar_chart, create_stacked_bar_chart
import plotly.express as px
from utils import load_data, filter_trips
from shinywidgets import output_widget, render_widget
import plotly.graph_objects as go
import pandas as pd
import json


# Load the data
zones, trips = load_data()

# Path to Excel file
EXCEL_FILE = "data/trips_data.xlsx"  # Update with your file path
Json_title_FILE = "data/old_table_title.json"  
Json_table_FILE =  "data/old_table.json"  
Q1_FILE =  "data/q1.json"  
Q2_FILE =  "data/q2.json"  
Q3_FILE =  "data/q3.json"  
Q4_FILE =  "data/q4.json"  


# Question-to-Sheet Mapping
#QUESTION_TO_SHEET = {
#    "What types of trips are occurring within Napa County?": "TTyp1",
#    "What types of inter-county trips are occurring at Napa County gateways?": "GWTTyp1",
#    "Where are trips into Napa County coming from?": "TT1",
#    "Where are trips starting and ending within Napa County?": "OD1",
#}

#tables_json = {
#    "TTyp1": {
#        "Trip Type": [
#            "Intra-Napa County Trips",
#            "Trips into Napa County",
#            "Trips out of Napa County",
#            "Napa County Pass-Through Trips",
#            "Total Trips Interacting with Napa County"
#        ],
#        "Trips": [238000, 52000, 51000, 12000, 353000],
#        "Previous TBS Trips": [238000, 48000, 47000, 12000, 345000],
#        "Percent": ["67%", "15%", "15%", "3%", "100%"],
#        "Previous TBS Percentage": ["68%", "14%", "14%", "3%", "100%"]
#    },
#    "GWTTyp1": {
#        "Napa County Gateway": [
#            "SR 29 at Napa/Solano County Line - Northbound",
#            "SR 29 at Napa/Solano County Line - Southbound",
#            "SR 12 at Napa/Solano County Line - Westbound",
#            "SR 12 at Napa/Solano County Line - Eastbound",
#            "SR 29 at Napa/Lake County Line - Southbound",
#            "SR 29 at Napa/Lake County Line - Northbound",
#            "SR 128 at Napa/Sonoma County Line - Eastbound",
#            "SR 128 at Napa/Sonoma County Line - Westbound",
#            "SR 12 at Napa/Sonoma County Line - Eastbound",
#            "SR 12 at Napa/Sonoma County Line - Westbound",
#            "SR 128 at Napa/Solano County Line - Westbound",
#            "SR 128 at Napa/Solano County Line - Eastbound",
#            "SMR at Napa/Sonoma County Line - Westbound",
#            "SMR at Napa/Sonoma County Line - Eastbound",
#            "All Napa County Gateway Trips"
#        ],
#        "Total Trips": [
#            23000, 24000, 24000, 22000, 4000, 4000, 1000, 1000, 16000, 15000,
#            600, 600, 400, 300, 124000
#        ],
#        "Napa County Pass-Through Trips": [
#            "4%", "6%", "16%", "16%", "56%", "48%", "22%", "26%", "29%", "29%",
#            "17%", "11%", "3%", "7%", "10%"
#        ],
#        "Trips into Napa County": [
#            "82%", "2%", "83%", "0%", "27%", "0%", "70%", "0%", "70%", "70%",
#            "69%", "69%", "33%", "50%", "42%"
#        ],
#        "Trips out of Napa County": [
#            "1%", "76%", "0%", "84%", "6%", "27%", "0%", "70%", "0%", "0%",
#            "6%", "6%", "60%", "0%", "41%"
#        ]
#    },
#    "TT1": {
#        "Location": [
#            "Vallejo", "Fairfield", "Santa Rosa", "Vacaville", "City of Sonoma", "Total"
#        ],
#        "Calistoga": [16, 35, 149, 9, 4, 213],
#        "Angwin": [48, 0, 7, 0, 4, 59],
#        "Saint Helena": [67, 207, 189, 126, 66, 655],
#        "Yountville": [69, 75, 26, 107, 105, 382],
#        "Napa": [5125, 4384, 3131, 2005, 1290, 15935],
#        "American Canyon": [6534, 1449, 326, 412, 154, 8875],
#        "Unincorporated": [1374, 1271, 1350, 762, 303, 5060],
#        "Total": [13233, 7421, 5178, 3421, 1926, 31179]
#    },
#    "OD1": {
#        "City": [
#            "Calistoga", "Angwin", "Saint Helena", "Yountville",
#            "Napa", "American Canyon", "Unincorporated", "Total"
#        ],
#        "Trip Origins - Trips": [6600, 3600, 11800, 5200, 187600, 33100, 41000, 289100],
#        "Trip Origins - Percent": ["2%", "1%", "4%", "2%", "65%", "11%", "14%", "100%"],
#        "Trip Destinations - Trips": [6600, 3600, 11900, 5400, 186500, 33400, 43000, 290300],
#        "Trip Destinations - Percent": ["2%", "1%", "4%", "2%", "64%", "12%", "15%", "100%"]
#    }
#}

#tables_title_json = {
#    "TTyp1": ["Table 4.1: Weekday All-Day Trip Types"],
#    "GWTTyp1": ["Table 4.2: Weekday All-Day Gateway Trip Types"],
#    "TT1": ["Table 4.3: Weekday All-Day Top Five Generators of Inbound Trips"],
#    "OD1": ["Table 4.4: Weekday All-Day Origins and Destinations by City"]
#}

# Load the JSON file into a Python dictionary
with open(Json_table_FILE, "r") as file:
    tables_json = json.load(file)

# Load the JSON file into a Python dictionary
with open(Json_title_FILE, "r") as file:
    tables_title_json = json.load(file)

# Load the JSON file into a Python dictionary
with open(Q1_FILE, "r") as file:
    q1 = json.load(file)

# Load the JSON file into a Python dictionary
with open(Q2_FILE, "r") as file:
    q2 = json.load(file)

# Load the JSON file into a Python dictionary
with open(Q3_FILE, "r") as file:
    q3 = json.load(file)

# Load the JSON file into a Python dictionary
with open(Q4_FILE, "r") as file:
    q4 = json.load(file)


def create_server(app_dir):
    def server(input, output, session):

        @render.image
        def rsglogo():
            return conlogo()
        
        @render.image
        def clientlogo():
            return vendorlogo()
        
        @render.plot
        def bar_chart():
            # Sample data for bar chart
            categories = ["Category A", "Category B", "Category C"]
            values = [10, 20, 30]

            return create_bar_chart(categories, values, plottitle = "Bar Chart Example")

        @render.plot
        def pie_chart():
            # Data for pie chart
            labels = ["Home-Based Work", "Home-Based Other", "Non-Home-Based"]
            #labels = [f"{icons['fa-car']} Cars", f"{icons['fa-bicycle']} Bikes", f"{icons['fa-bus']} Buses"]
            #labels = [f"{fa.icon_svg("briefcase")} Cars", f"{fa.icon_svg("briefcase")} Bikes", f"{fa.icon_svg("briefcase")} Buses"]
            

            sizes = [22, 41, 37]
            colors = ["#00b3b3", "#70d281", "#ff7f0e"]
            explode = (0.1, 0, 0)  # Explode the first slice for emphasis
            
            return create_pie_chart(labels, sizes, plottitle ="What Types of Trips are Occuring within Napa County on a Weekday?")

        @render.plot
        def stacked_bar_chart():
            # Data for the stacked bar chart
            categories = ["Early AM", "AM Peak", "Mid-Day", "PM Peak", "Evening"]
            intra_napa = [2000, 16000, 14000, 12000, 5000]
            into_napa = [1000, 8000, 2000, 3000, 2000]
            out_napa = [2000, 4000, 2000, 5000, 1000]

            return create_stacked_bar_chart(categories, intra_napa, into_napa, out_napa)
        
        # Reactive values to track selections
        selected_origin = reactive.Value(None)
        selected_destination = reactive.Value(None)

        @reactive.Effect
        #@reactive.event(input)
        @reactive.event(input.origin_map_click, input.destination_map_click)
        def update_selections():
            """Update selections when a map is clicked."""
            selected_origin.set(input.origin_map_click.get("customdata"))
            selected_destination.set(input.destination_map_click.get("customdata"))

        @reactive.Calc
        def filtered_data():
            """Filter trips based on selected origin or destination."""
            return filter_trips(trips, zones, selected_origin.get(), selected_destination.get())

        @output
        #@render.plot
        #@render.ui
        @render_widget
        def origin_map():
            filtered_origins, _ = filtered_data()
            fig = px.choropleth(
                filtered_origins,
                geojson=filtered_origins.geometry,
                locations=filtered_origins.index,
                color="trip_count",
                title="Trip Origins",
                custom_data=["FPID"],
                #mapbox_style="open-street-map",
                #zoom=7.5,
                #center={"lat": filtered_origins.geometry.centroid.y.mean(), "lon": filtered_origins.geometry.centroid.x.mean()},
                #opacity=0.7,
                # color_continuous_scale="amp",
                # labels={
                #     "Zone ID": "FPID",
                #     "Trips": "trip_count"
                # }
            )
            fig.update_geos(fitbounds="locations", visible=False)
            #fig.update_layout(coloraxis_colorbar=dict(title="Trip Count"))  # Add legend
            return fig
            #return ui.HTML(fig.to_html())
            #return ui.HTML(fig.to_html(full_html=False, include_plotlyjs="cdn"))

        @output
        #@render.plot
        #@render.ui
        @render_widget
        def destination_map():
            _, filtered_destinations = filtered_data()
            fig = px.choropleth(
                filtered_destinations,
                geojson=filtered_destinations.geometry,
                locations=filtered_destinations.index,
                color="trip_count",
                title="Trip Destinations",
                custom_data=["FPID"]
            )
            fig.update_geos(fitbounds="locations", visible=False)
            #fig.update_layout(coloraxis_colorbar=dict(title="Trip Count"))  # Add legend
            return fig
            #return ui.HTML(fig.to_html())
            #return ui.HTML(fig.to_html(full_html=False, include_plotlyjs="cdn"))

        @reactive.Calc
        def selected_sheet1():
            """Get the corresponding sheet name for the selected question."""
            question1 = input.question_selector1()
            return q1.get(question1, None)
            
        @reactive.Calc
        def sheet_data1():
            sheet_name = selected_sheet1()
            data = pd.DataFrame(tables_json[sheet_name])
            title = tables_title_json[sheet_name]
            return {"title": title, "data": data}

        # Render the table title
        @output
        @render.ui
        def table_title1():
            title = sheet_data1()["title"]
            return ui.tags.h5(title, style="text-align: center; margin-top: 20px;")

        # Render the table
        @output
        @render.table
        def trip_table1():
            data = sheet_data1()["data"]
            if data.empty:
                return pd.DataFrame({"Error": ["No data available"]})
            # Return the raw DataFrame without styling
            return data.reset_index(drop=True).style.bar(color='#52bf89')

        @reactive.Calc
        def selected_sheet2():
            """Get the corresponding sheet name for the selected question."""
            question2 = input.question_selector2()
            return q2.get(question2, None)
            
        @reactive.Calc
        def sheet_data2():
            sheet_name = selected_sheet2()
            data = pd.DataFrame(tables_json[sheet_name])
            title = tables_title_json[sheet_name]
            return {"title": title, "data": data}

        # Render the table title
        @output
        @render.ui
        def table_title2():
            title = sheet_data2()["title"]
            return ui.tags.h5(title, style="text-align: center; margin-top: 20px;")

        # Render the table
        @output
        @render.table
        def trip_table2():
            data = sheet_data2()["data"]
            if data.empty:
                return pd.DataFrame({"Error": ["No data available"]})
            # Return the raw DataFrame without styling
            return data.reset_index(drop=True).style.bar(color='#52bf89')

        @reactive.Calc
        def selected_sheet3():
            """Get the corresponding sheet name for the selected question."""
            question3 = input.question_selector3()
            return q3.get(question3, None)
            
        @reactive.Calc
        def sheet_data3():
            sheet_name = selected_sheet3()
            data = pd.DataFrame(tables_json[sheet_name])
            title = tables_title_json[sheet_name]
            return {"title": title, "data": data}

        # Render the table title
        @output
        @render.ui
        def table_title3():
            title = sheet_data3()["title"]
            return ui.tags.h5(title, style="text-align: center; margin-top: 20px;")

        # Render the table
        @output
        @render.table
        def trip_table3():
            data = sheet_data3()["data"]
            if data.empty:
                return pd.DataFrame({"Error": ["No data available"]})
            # Return the raw DataFrame without styling
            return data.reset_index(drop=True).style.bar(color='#52bf89')

        @reactive.Calc
        def selected_sheet4():
            """Get the corresponding sheet name for the selected question."""
            question4 = input.question_selector4()
            return q4.get(question4, None)
            
        @reactive.Calc
        def sheet_data4():
            sheet_name = selected_sheet4()
            data = pd.DataFrame(tables_json[sheet_name])
            title = tables_title_json[sheet_name]
            return {"title": title, "data": data}

        # Render the table title
        @output
        @render.ui
        def table_title4():
            title = sheet_data4()["title"]
            return ui.tags.h5(title, style="text-align: center; margin-top: 20px;")

        # Render the table
        @output
        @render.table
        def trip_table4():
            data = sheet_data4()["data"]
            if data.empty:
                return pd.DataFrame({"Error": ["No data available"]})
            # Return the raw DataFrame without styling
            return data.reset_index(drop=True).style.bar(color='#52bf89')
    
    return server

	# server.py
	import matplotlib.pyplot as plt
	from shiny import render, ui, reactive
	import faicons as fa
	#from fontawesomefree import icons
	import numpy as np
	from utils import conlogo, vendorlogo
	from utils import create_pie_chart, create_bar_chart, create_bar_chart, create_stacked_bar_chart
	import plotly.express as px
	from utils import load_data, filter_trips
	from shinywidgets import output_widget, render_widget
	import plotly.graph_objects as go
	import pandas as pd
	import json


	# Load the data
	zones, trips = load_data()

	# Path to Excel file
	EXCEL_FILE = "data/trips_data.xlsx" # Update with your file path
	Json_title_FILE = "data/old_table_title.json"
	Json_table_FILE = "data/old_table.json"
	Q1_FILE = "data/q1.json"
	Q2_FILE = "data/q2.json"
	Q3_FILE = "data/q3.json"
	Q4_FILE = "data/q4.json"


	# Question-to-Sheet Mapping
	#QUESTION_TO_SHEET = {
	# "What types of trips are occurring within Napa County?": "TTyp1",
	# "What types of inter-county trips are occurring at Napa County gateways?": "GWTTyp1",
	# "Where are trips into Napa County coming from?": "TT1",
	# "Where are trips starting and ending within Napa County?": "OD1",
	#}

	#tables_json = {
	# "TTyp1": {
	# "Trip Type": [
	# "Intra-Napa County Trips",
	# "Trips into Napa County",
	# "Trips out of Napa County",
	# "Napa County Pass-Through Trips",
	# "Total Trips Interacting with Napa County"
	# ],
	# "Trips": [238000, 52000, 51000, 12000, 353000],
	# "Previous TBS Trips": [238000, 48000, 47000, 12000, 345000],
	# "Percent": ["67%", "15%", "15%", "3%", "100%"],
	# "Previous TBS Percentage": ["68%", "14%", "14%", "3%", "100%"]
	# },
	# "GWTTyp1": {
	# "Napa County Gateway": [
	# "SR 29 at Napa/Solano County Line - Northbound",
	# "SR 29 at Napa/Solano County Line - Southbound",
	# "SR 12 at Napa/Solano County Line - Westbound",
	# "SR 12 at Napa/Solano County Line - Eastbound",
	# "SR 29 at Napa/Lake County Line - Southbound",
	# "SR 29 at Napa/Lake County Line - Northbound",
	# "SR 128 at Napa/Sonoma County Line - Eastbound",
	# "SR 128 at Napa/Sonoma County Line - Westbound",
	# "SR 12 at Napa/Sonoma County Line - Eastbound",
	# "SR 12 at Napa/Sonoma County Line - Westbound",
	# "SR 128 at Napa/Solano County Line - Westbound",
	# "SR 128 at Napa/Solano County Line - Eastbound",
	# "SMR at Napa/Sonoma County Line - Westbound",
	# "SMR at Napa/Sonoma County Line - Eastbound",
	# "All Napa County Gateway Trips"
	# ],
	# "Total Trips": [
	# 23000, 24000, 24000, 22000, 4000, 4000, 1000, 1000, 16000, 15000,
	# 600, 600, 400, 300, 124000
	# ],
	# "Napa County Pass-Through Trips": [
	# "4%", "6%", "16%", "16%", "56%", "48%", "22%", "26%", "29%", "29%",
	# "17%", "11%", "3%", "7%", "10%"
	# ],
	# "Trips into Napa County": [
	# "82%", "2%", "83%", "0%", "27%", "0%", "70%", "0%", "70%", "70%",
	# "69%", "69%", "33%", "50%", "42%"
	# ],
	# "Trips out of Napa County": [
	# "1%", "76%", "0%", "84%", "6%", "27%", "0%", "70%", "0%", "0%",
	# "6%", "6%", "60%", "0%", "41%"
	# ]
	# },
	# "TT1": {
	# "Location": [
	# "Vallejo", "Fairfield", "Santa Rosa", "Vacaville", "City of Sonoma", "Total"
	# ],
	# "Calistoga": [16, 35, 149, 9, 4, 213],
	# "Angwin": [48, 0, 7, 0, 4, 59],
	# "Saint Helena": [67, 207, 189, 126, 66, 655],
	# "Yountville": [69, 75, 26, 107, 105, 382],
	# "Napa": [5125, 4384, 3131, 2005, 1290, 15935],
	# "American Canyon": [6534, 1449, 326, 412, 154, 8875],
	# "Unincorporated": [1374, 1271, 1350, 762, 303, 5060],
	# "Total": [13233, 7421, 5178, 3421, 1926, 31179]
	# },
	# "OD1": {
	# "City": [
	# "Calistoga", "Angwin", "Saint Helena", "Yountville",
	# "Napa", "American Canyon", "Unincorporated", "Total"
	# ],
	# "Trip Origins - Trips": [6600, 3600, 11800, 5200, 187600, 33100, 41000, 289100],
	# "Trip Origins - Percent": ["2%", "1%", "4%", "2%", "65%", "11%", "14%", "100%"],
	# "Trip Destinations - Trips": [6600, 3600, 11900, 5400, 186500, 33400, 43000, 290300],
	# "Trip Destinations - Percent": ["2%", "1%", "4%", "2%", "64%", "12%", "15%", "100%"]
	# }
	#}

	#tables_title_json = {
	# "TTyp1": ["Table 4.1: Weekday All-Day Trip Types"],
	# "GWTTyp1": ["Table 4.2: Weekday All-Day Gateway Trip Types"],
	# "TT1": ["Table 4.3: Weekday All-Day Top Five Generators of Inbound Trips"],
	# "OD1": ["Table 4.4: Weekday All-Day Origins and Destinations by City"]
	#}

	# Load the JSON file into a Python dictionary
	with open(Json_table_FILE, "r") as file:
	tables_json = json.load(file)

	# Load the JSON file into a Python dictionary
	with open(Json_title_FILE, "r") as file:
	tables_title_json = json.load(file)

	# Load the JSON file into a Python dictionary
	with open(Q1_FILE, "r") as file:
	q1 = json.load(file)

	# Load the JSON file into a Python dictionary
	with open(Q2_FILE, "r") as file:
	q2 = json.load(file)

	# Load the JSON file into a Python dictionary
	with open(Q3_FILE, "r") as file:
	q3 = json.load(file)

	# Load the JSON file into a Python dictionary
	with open(Q4_FILE, "r") as file:
	q4 = json.load(file)


	def create_server(app_dir):
	def server(input, output, session):

	@render.image
	def rsglogo():
	return conlogo()

	@render.image
	def clientlogo():
	return vendorlogo()

	@render.plot
	def bar_chart():
	# Sample data for bar chart
	categories = ["Category A", "Category B", "Category C"]
	values = [10, 20, 30]

	return create_bar_chart(categories, values, plottitle = "Bar Chart Example")

	@render.plot
	def pie_chart():
	# Data for pie chart
	labels = ["Home-Based Work", "Home-Based Other", "Non-Home-Based"]
	#labels = [f"{icons['fa-car']} Cars", f"{icons['fa-bicycle']} Bikes", f"{icons['fa-bus']} Buses"]
	#labels = [f"{fa.icon_svg("briefcase")} Cars", f"{fa.icon_svg("briefcase")} Bikes", f"{fa.icon_svg("briefcase")} Buses"]


	sizes = [22, 41, 37]
	colors = ["#00b3b3", "#70d281", "#ff7f0e"]
	explode = (0.1, 0, 0) # Explode the first slice for emphasis

	return create_pie_chart(labels, sizes, plottitle ="What Types of Trips are Occuring within Napa County on a Weekday?")

	@render.plot
	def stacked_bar_chart():
	# Data for the stacked bar chart
	categories = ["Early AM", "AM Peak", "Mid-Day", "PM Peak", "Evening"]
	intra_napa = [2000, 16000, 14000, 12000, 5000]
	into_napa = [1000, 8000, 2000, 3000, 2000]
	out_napa = [2000, 4000, 2000, 5000, 1000]

	return create_stacked_bar_chart(categories, intra_napa, into_napa, out_napa)

	# Reactive values to track selections
	selected_origin = reactive.Value(None)
	selected_destination = reactive.Value(None)

	@reactive.Effect
	#@reactive.event(input)
	@reactive.event(input.origin_map_click, input.destination_map_click)
	def update_selections():
	"""Update selections when a map is clicked."""
	selected_origin.set(input.origin_map_click.get("customdata"))
	selected_destination.set(input.destination_map_click.get("customdata"))

	@reactive.Calc
	def filtered_data():
	"""Filter trips based on selected origin or destination."""
	return filter_trips(trips, zones, selected_origin.get(), selected_destination.get())

	@output
	#@render.plot
	#@render.ui
	@render_widget
	def origin_map():
	filtered_origins, _ = filtered_data()
	fig = px.choropleth(
	filtered_origins,
	geojson=filtered_origins.geometry,
	locations=filtered_origins.index,
	color="trip_count",
	title="Trip Origins",
	custom_data=["FPID"],
	#mapbox_style="open-street-map",
	#zoom=7.5,
	#center={"lat": filtered_origins.geometry.centroid.y.mean(), "lon": filtered_origins.geometry.centroid.x.mean()},
	#opacity=0.7,
	# color_continuous_scale="amp",
	# labels={
	# "Zone ID": "FPID",
	# "Trips": "trip_count"
	# }
	)
	fig.update_geos(fitbounds="locations", visible=False)
	#fig.update_layout(coloraxis_colorbar=dict(title="Trip Count")) # Add legend
	return fig
	#return ui.HTML(fig.to_html())
	#return ui.HTML(fig.to_html(full_html=False, include_plotlyjs="cdn"))

	@output
	#@render.plot
	#@render.ui
	@render_widget
	def destination_map():
	_, filtered_destinations = filtered_data()
	fig = px.choropleth(
	filtered_destinations,
	geojson=filtered_destinations.geometry,
	locations=filtered_destinations.index,
	color="trip_count",
	title="Trip Destinations",
	custom_data=["FPID"]
	)
	fig.update_geos(fitbounds="locations", visible=False)
	#fig.update_layout(coloraxis_colorbar=dict(title="Trip Count")) # Add legend
	return fig
	#return ui.HTML(fig.to_html())
	#return ui.HTML(fig.to_html(full_html=False, include_plotlyjs="cdn"))

	@reactive.Calc
	def selected_sheet1():
	"""Get the corresponding sheet name for the selected question."""
	question1 = input.question_selector1()
	return q1.get(question1, None)

	@reactive.Calc
	def sheet_data1():
	sheet_name = selected_sheet1()
	data = pd.DataFrame(tables_json[sheet_name])
	title = tables_title_json[sheet_name]
	return {"title": title, "data": data}

	# Render the table title
	@output
	@render.ui
	def table_title1():
	title = sheet_data1()["title"]
	return ui.tags.h5(title, style="text-align: center; margin-top: 20px;")

	# Render the table
	@output
	@render.table
	def trip_table1():
	data = sheet_data1()["data"]
	if data.empty:
	return pd.DataFrame({"Error": ["No data available"]})
	# Return the raw DataFrame without styling
	return data.reset_index(drop=True).style.bar(color='#52bf89')

	@reactive.Calc
	def selected_sheet2():
	"""Get the corresponding sheet name for the selected question."""
	question2 = input.question_selector2()
	return q2.get(question2, None)

	@reactive.Calc
	def sheet_data2():
	sheet_name = selected_sheet2()
	data = pd.DataFrame(tables_json[sheet_name])
	title = tables_title_json[sheet_name]
	return {"title": title, "data": data}

	# Render the table title
	@output
	@render.ui
	def table_title2():
	title = sheet_data2()["title"]
	return ui.tags.h5(title, style="text-align: center; margin-top: 20px;")

	# Render the table
	@output
	@render.table
	def trip_table2():
	data = sheet_data2()["data"]
	if data.empty:
	return pd.DataFrame({"Error": ["No data available"]})
	# Return the raw DataFrame without styling
	return data.reset_index(drop=True).style.bar(color='#52bf89')

	@reactive.Calc
	def selected_sheet3():
	"""Get the corresponding sheet name for the selected question."""
	question3 = input.question_selector3()
	return q3.get(question3, None)

	@reactive.Calc
	def sheet_data3():
	sheet_name = selected_sheet3()
	data = pd.DataFrame(tables_json[sheet_name])
	title = tables_title_json[sheet_name]
	return {"title": title, "data": data}

	# Render the table title
	@output
	@render.ui
	def table_title3():
	title = sheet_data3()["title"]
	return ui.tags.h5(title, style="text-align: center; margin-top: 20px;")

	# Render the table
	@output
	@render.table
	def trip_table3():
	data = sheet_data3()["data"]
	if data.empty:
	return pd.DataFrame({"Error": ["No data available"]})
	# Return the raw DataFrame without styling
	return data.reset_index(drop=True).style.bar(color='#52bf89')

	@reactive.Calc
	def selected_sheet4():
	"""Get the corresponding sheet name for the selected question."""
	question4 = input.question_selector4()
	return q4.get(question4, None)

	@reactive.Calc
	def sheet_data4():
	sheet_name = selected_sheet4()
	data = pd.DataFrame(tables_json[sheet_name])
	title = tables_title_json[sheet_name]
	return {"title": title, "data": data}

	# Render the table title
	@output
	@render.ui
	def table_title4():
	title = sheet_data4()["title"]
	return ui.tags.h5(title, style="text-align: center; margin-top: 20px;")

	# Render the table
	@output
	@render.table
	def trip_table4():
	data = sheet_data4()["data"]
	if data.empty:
	return pd.DataFrame({"Error": ["No data available"]})
	# Return the raw DataFrame without styling
	return data.reset_index(drop=True).style.bar(color='#52bf89')

	return server