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"""Example to show dashboard configuration."""
import pandas as pd
import vizro.models as vm
from vizro import Vizro
import vizro.plotly.express as px
from dash import get_asset_url, html
import dash_bootstrap_components as dbc
from vizro.models.types import capture
from vizro.tables import dash_ag_grid
from utils.helper import categorize_price, convert_price_to_numeric, columnDefs
from vizro.figures import kpi_card
# Custom charts are required because of the post-update calls
@capture("graph")
def bar(data_frame, top_n=20, **kwargs):
data_top = data_frame.head(top_n)
fig = px.bar(data_top, **kwargs)
fig.update_layout(title=f"Top {top_n} Games by {kwargs['x']}", yaxis_title="", yaxis_autorange="reversed")
return fig
@capture("graph")
def scatter(data_frame, top_n=20, **kwargs):
data_top = data_frame.head(top_n)
fig = px.scatter(data_top, **kwargs)
fig.update_layout(
title=f"Top {top_n} games by {kwargs['y']}. Each bubble represents a single game. The bigger the bubble, the more players."
)
return fig
@capture("graph")
def treemap(data_frame, top_n=20, **kwargs):
data_top = data_frame.head(top_n)
fig = px.treemap(data_top, **kwargs)
fig.update_traces(root_color="lightgrey")
fig.update_layout(title=f"Top {top_n} games by {kwargs['values']}. The bigger the square, the more players.")
return fig
# Tidy data set
players = pd.read_csv(
"https://raw.githubusercontent.com/plotly/Figure-Friday/refs/heads/main/2025/week-5/Steam%20Top%20100%20Played%20Games%20-%20List.csv"
)
players["Price Category"] = players["Price"].apply(categorize_price)
players["Price Numeric"] = players["Price"].apply(convert_price_to_numeric)
players["Current Players"] = pd.to_numeric(players["Current Players"].str.replace(",", ""))
players["Peak Today"] = pd.to_numeric(players["Peak Today"].str.replace(",", ""))
tabs = vm.Tabs(
tabs=[
vm.Container(
title="Bar",
components=[
vm.Graph(
id="bar",
figure=bar(
players,
y="Name",
x="Current Players",
title="Current Players by Game",
orientation="h",
color="Price Numeric",
),
)
],
),
vm.Container(
title="Treemap",
components=[
vm.Graph(
id="treemap",
figure=treemap(
players, path=[px.Constant("All"), "Name"], values="Current Players", color="Price Numeric"
),
)
],
),
vm.Container(
title="Bubble",
components=[
vm.Graph(
id="bubble",
figure=scatter(
players,
x="Price Numeric",
y="Current Players",
size="Current Players",
size_max=50,
opacity=0.5,
color="Price Numeric",
),
)
],
),
],
)
players_page = vm.Page(
title="Total Players 🎮",
layout=vm.Layout(grid=[[0, 1, 2, 3, 4]] + [[5, 5, 5, 5, 5]] * 5),
components=[
vm.Figure(
id="kpi-1",
figure=kpi_card(
data_frame=players[players["Price Category"] == "Free To Play"],
value_column="Current Players",
value_format="{value:,}",
icon="groups",
title="Free to play",
),
),
vm.Figure(
id="kpi-2",
figure=kpi_card(
data_frame=players[players["Price Category"] == "Less than £15"],
value_column="Current Players",
value_format="{value:,}",
icon="group",
title="Less than £15",
),
),
vm.Figure(
id="kpi-3",
figure=kpi_card(
data_frame=players[players["Price Category"] == "£15-£30"],
value_column="Current Players",
value_format="{value:,}",
icon="person",
title="£15-£30",
),
),
vm.Figure(
id="kpi-4",
figure=kpi_card(
data_frame=players[players["Price Category"] == "£30-£45"],
value_column="Current Players",
value_format="{value:,}",
icon="people",
title="£30-£45",
),
),
vm.Figure(
id="kpi-5",
figure=kpi_card(
data_frame=players[players["Price Category"] == "More than 45£"],
value_column="Current Players",
value_format="{value:,}",
icon="groups",
title="More than 45£",
),
),
tabs,
],
controls=[
vm.Parameter(
targets=[
"bar.x",
"treemap.values",
"bubble.y",
"kpi-1.value_column",
"kpi-2.value_column",
"kpi-3.value_column",
"kpi-4.value_column",
"kpi-5.value_column",
],
selector=vm.RadioItems(
options=["Current Players", "Peak Today"],
title="Select metric in all charts",
),
),
vm.Parameter(
targets=["bar.top_n", "bubble.top_n", "treemap.top_n"],
selector=vm.Slider(min=10, max=50, step=5, value=20, title="Select top N:"),
),
vm.Filter(
column="Price Category",
selector=vm.Checklist(
options=["Free To Play", "Less than £15", "£15-£30", "£30-£45", "More than 45£"],
title="Select price category:",
),
),
vm.Filter(column="Name", selector=vm.Dropdown(title="Select game:")),
],
)
games_page = vm.Page(
title="Most played games 👾",
components=[
vm.AgGrid(
figure=dash_ag_grid(players, columnDefs=columnDefs, dashGridOptions={"rowHeight": 56, "pagination": True})
)
],
)
dashboard = vm.Dashboard(
title="Figure Friday - Week 5",
pages=[players_page, games_page],
navigation=vm.Navigation(
nav_selector=vm.NavBar(
items=[
vm.NavLink(label="Players", pages=["Total Players 🎮"], icon="Person Play"),
vm.NavLink(label="Games", pages=["Most played games 👾"], icon="Stadia Controller"),
]
)
),
)
app = Vizro().build(dashboard)
app.dash.layout.children.append(
dbc.NavLink(
["Made with ", html.Img(src=get_asset_url("logo.svg"), id="banner", alt="Vizro logo"), "vizro"],
href="https://github.com/mckinsey/vizro",
target="_blank",
className="anchor-container",
)
)
server = app.dash.server
if __name__ == "__main__":
app.run()
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