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Catalog ›Public data ›Municipalities lab — machine learning on Italy's data › Groups

Groups

Part of the Municipalities lab

Two-digit region code (e.g. `01` Piedmont, `03` Lombardy, `05` Veneto, `08` Emilia-Romagna, `09` Tuscany, `12` Lazio, `15` Campania, `19` Sicily). Then move the slider: the clustering recomputes and the map recolors.

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data space «laboratorio-comuni» — this micro app reads and writes the suite’s shared data space.

What it records

  • Region code (2 digits)

The other micro apps in the same suite

🔍Outliers🔗Correlations🎯Predictions

How it works

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The app’s source
# 🗺️ Groups

## The region's groups of municipalities

Two-digit region code (e.g. `01` Piedmont, `03` Lombardy, `05` Veneto,
`08` Emilia-Romagna, `09` Tuscany, `12` Lazio, `15` Campania, `19` Sicily).
Then move the slider: the clustering recomputes and the map recolors.

::input[reg]{value="08" placeholder="Region code (2 digits)"}

::od-query{into="comuni" sql="SELECT c.comune AS comune, c.geojson AS geojson, r.reddito_medio AS reddito, i.eta_media AS eta, i.perc_stranieri AS stranieri FROM istat_confini_comuni c JOIN mef_redditi r ON r.codice_istat = c.codice_istat JOIN istat_indicatori i ON i.codice_istat = c.codice_istat WHERE c.cod_reg = '{#reg}'" limit="2000"}

::range[k]{min="2" max="8" value="4" legend="Number of groups"}

::ml-cluster{data="comuni" features="reddito,eta,stranieri" k="#k" into="gruppi"}

:::map{path="gruppi" geojson="geojson" fill="cluster" height="26rem"}
**{comune}** — group {cluster} · income {reddito} € · average age {eta}
:::

Similar municipalities end up in the same group: K-means works on average
income, average age and percentage of foreign residents (standardized). The
map colors are the groups.