2023_30daymapchallenge_day16_oceania.qmd

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<h1>#30DayMapChallenge Day 16: Oceania (Taylor's Version)</h1>

<p>Hello <span style="font-family:'Abril Fatface', serif;">ERAS TOUR</span>! Welcome to your Oceania venues! (<span style='color:#C2EAA9;'>2024</span>)</p>
<p id="nota_subtitle">
<b>Note</b>: <b>"The Eras Tour"</b> has the concept of a musical journey through the different eras (musical albums and stages of life) of <b>Taylor Swift</b>. Currently, this tour is one of the most famous and successful in the world. It is also the first tour where Taylor Swift performs in Latin America.
</p>

```{python}
#| eval: false
import geopandas
import pandas as pd
gdf = geopandas.read_file("https://raw.githubusercontent.com/isaacarroyov/datos_facil_acceso/main/Mundo/world_shapes_from_altair_website.geojson")

```


```{python}
import altair as alt
alt.renderers.set_embed_options(actions=False)

# = = LOAD DATA = = #
url_geom_world = "https://raw.githubusercontent.com/isaacarroyov/datos_facil_acceso/main/Mundo/world_shapes_from_altair_website.geojson"
data_geom_world = alt.Data(url = url_geom_world, format = alt.DataFormat(property = "features"))

url_eras_tour_dates = alt.UrlData("https://raw.githubusercontent.com/isaacarroyov/30daymapchallenge/main/data/eras_tour_dates.csv", format= alt.CsvDataFormat())
url_eras_tour_locations = alt.UrlData("https://raw.githubusercontent.com/isaacarroyov/30daymapchallenge/main/data/eras_tour_long-lat.csv", format= alt.CsvDataFormat())

# = = DATAVIS CONFIG = = #
dict_colours = dict(map_fill = "#C9D1E0", points_domain = [2023,2024], points_colours = ["#EAA9C2","#C2EAA9"])

hover_selection = alt.selection_point(fields = ["address"])

# = = LAYERS = = #
oceania = (alt.Chart(data_geom_world)
    .transform_filter(alt.FieldOneOfPredicate(field = "properties.CONTINENT", oneOf = ["Oceania"]))
    .transform_filter("datum.properties.SOV_A3 != 'FJI'")
    .mark_geoshape())

points_eras_tour = (alt.Chart(url_eras_tour_dates)
    .transform_filter("datum.continent_region == 'Oceania'")
    .transform_calculate(date_year_num = "toNumber(year(datum.date_year_month_day))")
    .transform_aggregate(
        groupby = ["date_year_num", "address"], n_events = "count()")
    .transform_lookup(
        lookup = "address",
        from_ = alt.LookupData(data=url_eras_tour_locations, key = "address", fields = ["lat","long"]))
    .transform_calculate(info_tooltip = "toString(datum.n_events) + ' concerts at ' + toString(datum.address) + ' in ' + toString(datum.date_year_num)")
    .encode(
        latitude = "lat:Q",
        longitude = "long:Q",
        detail = "address:N",
        size = alt.Size(shorthand = "n_events:Q",
                        legend = None,
                        scale = alt.Scale(range = [20, 250], domain = [1,8])
                        ),
        color = alt.Color(shorthand = "date_year_num:N",
                          title = "Year",
                          legend = None,
                          scale = alt.Scale(range = dict_colours["points_colours"],
                                            domain = dict_colours["points_domain"])
                          ),
        opacity = alt.condition(hover_selection, alt.value(1), alt.value(0.3)),
        tooltip = "info_tooltip:N"
    ).mark_circle()
    )

# = = FINAL DATAVIS = = #
mapa = (oceania + points_eras_tour).project(
        type = "equalEarth"
    ).properties(
        background = "transparent",
        width = "container",
    ).configure_geoshape(
        fill = dict_colours['map_fill'],
        stroke = "#1A161B",
        strokeWidth = 0.5,
        strokeOpacity = 1,
    ).configure_circle(
        stroke = "#1A161B",
        strokeWidth = 1.2,
    ).add_params(
        hover_selection
    )

mapa
```


<p id="caption">
<span style='font-weight:600;'>Data</span>: The Eras Tour dates via <span style='font-weight:600;'>Taylor Swift's Official Website</span><br>Isaac Arroyo (@unisaacarroyov)
</p>
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