PyCafe - Vizro - Gapminder Data Analysis

app.py
requirements.txt
app.py
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from vizro import Vizro
import vizro.models as vm
import vizro.plotly.express as px

df = px.data.gapminder()
gapminder_data = (
        df.groupby(by=["continent", "year"]).
            agg({"lifeExp": "mean", "pop": "sum", "gdpPercap": "mean"}).reset_index()
    )

first_page = vm.Page(
    title="First Page",
    layout=vm.Layout(grid=[[0, 0], [1, 2], [1, 2], [1, 2]]),
    components=[
        vm.Card(
            text="""
                # First dashboard page
                This pages shows the inclusion of markdown text in a page and how components
                can be structured using Layout.
            """,
        ),
        vm.Graph(
            id="box_cont",
            figure=px.box(gapminder_data, x="continent", y="lifeExp", color="continent",
                            labels={"lifeExp": "Life Expectancy", "continent": "Continent"}),
        ),
        vm.Graph(
            id="line_gdp",
            figure=px.line(gapminder_data, x="year", y="gdpPercap", color="continent",
                            labels={"year": "Year", "continent": "Continent",
                            "gdpPercap":"GDP Per Cap"}),
            ),
    ],
    controls=[
        vm.Filter(column="continent", targets=["box_cont", "line_gdp"]),
    ],
)

dashboard = vm.Dashboard(pages=[first_page])
Vizro().build(dashboard).run()
Py.Cafe

vizro-gapminder-analysis

Gapminder Data Analysis
