From 8d88b6d5216108e272b95218c287fe925223fb99 Mon Sep 17 00:00:00 2001 From: Zio Gabber <78922322+Gabrymi93@users.noreply.github.com> Date: Sat, 26 Sep 2026 16:25:54 +0100 Subject: [PATCH] fix(explorer): remove parquet download links, ensure SQL link on all pages Removed hardcoded 'Scarica il parquet pulito' download links from all45 dataset pages. These linked to GCS paths that were often stale (root-level vs repo-prefixed) and directed users away from the SQL query dashboard. Added 'Esplora i dati con Query SQL' link to 3 pages that were missing it (anac-bandi-gara, fts-eu-grants, pensioni-pa-dag). Updated template and checklist to reflect the new Risorse section. --- docs/TEMPLATE-dataset-page.md | 3 +-- src/dataset/anac-bandi-gara.md | 2 +- src/dataset/attivita-aula.md | 2 -- src/dataset/bdap-lea.md | 1 - src/dataset/bdap-spese-stato.md | 1 - src/dataset/camera-deputati.md | 1 - src/dataset/capacita-rinnovabile.md | 1 - src/dataset/cinque-per-mille.md | 1 - src/dataset/consip-consumi-convenzione.md | 1 - src/dataset/dipendenti-pubblici.md | 1 - src/dataset/elezioni-comunali.md | 1 - src/dataset/elezioni-europee.md | 1 - src/dataset/elezioni-politiche.md | 1 - src/dataset/elezioni-referendum.md | 1 - src/dataset/elezioni-regionali.md | 1 - src/dataset/entrate-stato.md | 1 - src/dataset/farmacie.md | 1 - src/dataset/flussi-giustizia-civile.md | 1 - src/dataset/fts-eu-grants.md | 2 +- src/dataset/housing-crowding.md | 1 - src/dataset/irpef-comunale.md | 1 - src/dataset/ispra-emissioni-ghg.md | 1 - src/dataset/istat-gini-regionale.md | 1 - src/dataset/istat-ipab-aree.md | 1 - src/dataset/mef-partecipazioni.md | 1 - src/dataset/mim-alunni-corso-eta.md | 1 - src/dataset/mit-incidentalita.md | 1 - src/dataset/opencivitas-fsc-2025.md | 1 - src/dataset/opencoesione-progetti.md | 1 - src/dataset/pensioni-inps.md | 1 - src/dataset/pensioni-pa-dag.md | 2 +- src/dataset/pnrr-gare.md | 1 - src/dataset/pnrr-pagamenti.md | 1 - src/dataset/pnrr-progetti.md | 1 - src/dataset/popolazione-istat.md | 1 - src/dataset/posti-letto-stabilimento.md | 1 - src/dataset/produzione-elettrica-fonti.md | 1 - src/dataset/reparti-ricovero.md | 1 - src/dataset/rifiuti-urbani.md | 1 - src/dataset/silos-infrastrutture.md | 1 - src/dataset/spesa-farmaceutica.md | 1 - src/dataset/strutture-asl.md | 1 - src/dataset/strutture-ricovero-asl.md | 1 - src/dataset/votazioni-camera.md | 1 - src/dataset/voti-deputati.md | 1 - 45 files changed, 4 insertions(+), 47 deletions(-) diff --git a/docs/TEMPLATE-dataset-page.md b/docs/TEMPLATE-dataset-page.md index 218c3a1..e9d1ed8 100644 --- a/docs/TEMPLATE-dataset-page.md +++ b/docs/TEMPLATE-dataset-page.md @@ -184,7 +184,6 @@ Inputs.table(filtered, { - [Fonte originale]({source_url}) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/{slug_gcs}/{anno}/{slug_gcs}_{anno}_clean.parquet) - [Pipeline](https://github.com/dataciviclab/dataset-incubator/tree/main/candidates/{slug_candidate}) diff --git a/src/dataset/anac-bandi-gara.md b/src/dataset/anac-bandi-gara.md index 43eb6be..e2aed6e 100644 --- a/src/dataset/anac-bandi-gara.md +++ b/src/dataset/anac-bandi-gara.md @@ -144,5 +144,5 @@ Il Codice Appalti 2023 ha semplificato le procedure, ma ha prodotto un effetto c ## Risorse - [ANAC - dati aperti](https://dati.anticorruzione.it/) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/anac_bandi_gara/2024/anac_bandi_gara_2024_clean.parquet) +- [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) - [Pipeline](https://github.com/dataciviclab/dataset-incubator/tree/main/candidates/anac-bandi-gara) diff --git a/src/dataset/attivita-aula.md b/src/dataset/attivita-aula.md index 9238e87..1aa859f 100644 --- a/src/dataset/attivita-aula.md +++ b/src/dataset/attivita-aula.md @@ -120,7 +120,5 @@ Inputs.table(topRel, { - [Camera dei Deputati — Dati aperti](https://dati.camera.it/) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito — interventi](https://storage.googleapis.com/dataciviclab-clean/open-politica/camera_interventi/2026/camera_interventi_2026_clean.parquet) -- [Scarica il parquet pulito — relatori](https://storage.googleapis.com/dataciviclab-clean/open-politica/camera_relatori/2026/camera_relatori_2026_clean.parquet) - [Pipeline interventi](https://github.com/dataciviclab/open-politica/tree/main/datasets/camera-interventi) - [Pipeline relatori](https://github.com/dataciviclab/open-politica/tree/main/datasets/camera-relatori) diff --git a/src/dataset/bdap-lea.md b/src/dataset/bdap-lea.md index a0a0f2d..f045306 100644 --- a/src/dataset/bdap-lea.md +++ b/src/dataset/bdap-lea.md @@ -214,5 +214,4 @@ Inputs.table(regFiltered, { - [BDAP — Open Data (fonte originale)](https://bdap-opendata.rgs.mef.gov.it/) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/bdap_lea/2024/bdap_lea_2024_clean.parquet) - [Pipeline](https://github.com/dataciviclab/dataset-incubator/tree/main/candidates/bdap-lea) diff --git a/src/dataset/bdap-spese-stato.md b/src/dataset/bdap-spese-stato.md index a278ab1..aae5d4a 100644 --- a/src/dataset/bdap-spese-stato.md +++ b/src/dataset/bdap-spese-stato.md @@ -164,6 +164,5 @@ Inputs.table(searchQuery, { - [MEF · RGS · BDAP (fonte originale)](https://www.rgs.mef.gov.it/) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/bdap_spese_stato/2025/bdap_spese_stato_2025_clean.parquet) - [Pipeline](https://github.com/dataciviclab/bilancio-pubblico/tree/main/datasets/bdap-spese-stato) La spesa è passata da **${euroCompact(d2008.spesa)}** nel ${first} a **${euroCompact(totLast)}** nel ${last}, toccando il minimo della serie nel **${minimo.anno}** (${euroCompact(minimo.spesa)}). Il **2020** segna lo scatto pandemico: da lì il livello non è più sceso. La crescita, però, è trainata soprattutto da voci "obbligate" concentrate al centro: ${top.macroaggregato.toLowerCase()} vale ${pct(topShare)} e debito+relazioni+previdenza pesano ${pct(voceShare)}. diff --git a/src/dataset/camera-deputati.md b/src/dataset/camera-deputati.md index d006b4a..3ce6178 100644 --- a/src/dataset/camera-deputati.md +++ b/src/dataset/camera-deputati.md @@ -151,5 +151,4 @@ Inputs.table(genere, { - [Camera dei Deputati — Dati aperti](https://dati.camera.it/) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/camera_deputati_legislature/2026/camera_deputati_legislature_2026_clean.parquet) - [Pipeline](https://github.com/dataciviclab/open-politica/tree/main/datasets/camera-deputati-legislature) diff --git a/src/dataset/capacita-rinnovabile.md b/src/dataset/capacita-rinnovabile.md index f1b8372..eb8f16c 100644 --- a/src/dataset/capacita-rinnovabile.md +++ b/src/dataset/capacita-rinnovabile.md @@ -215,5 +215,4 @@ Inputs.table(filtered, { - [Terna (fonte originale)](https://www.terna.it/) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/terna_capacita_rinnovabile/2024/terna_capacita_rinnovabile_2024_clean.parquet) - [Pipeline](https://github.com/dataciviclab/dataset-incubator/tree/main/candidates/terna-capacita-rinnovabile) diff --git a/src/dataset/cinque-per-mille.md b/src/dataset/cinque-per-mille.md index 75be19a..0824277 100644 --- a/src/dataset/cinque-per-mille.md +++ b/src/dataset/cinque-per-mille.md @@ -186,6 +186,5 @@ Inputs.table(tableData, { - [Agenzia delle Entrate — 5x1000 (fonte originale)](https://www.agenziaentrate.gov.it/portale/area-tematica-5x1000) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/ade_cinque_per_mille/2024/ade_cinque_per_mille_2024_clean.parquet) - [Pipeline](https://github.com/dataciviclab/dataset-incubator/tree/main/candidates/ade-cinque-per-mille) Nel ${anno} le entrate erogabili valgono **${euroCompact(importoTot)}** distribuite a **${num(numEnti)}** enti (in media **${euroCompact(importoMedio)}** a ente, ma la media nasconde una concentrazione estrema). La top 10 degli enti assorbe da sola **${pct(quotaTop10)}** del totale, e la regione in testa, **${topReg.regione.toLowerCase()}**, pesa da sola il **${pct(qTotale(topReg.importo_totale, importoTot))}**. diff --git a/src/dataset/consip-consumi-convenzione.md b/src/dataset/consip-consumi-convenzione.md index ff569a6..31ad5cb 100644 --- a/src/dataset/consip-consumi-convenzione.md +++ b/src/dataset/consip-consumi-convenzione.md @@ -163,5 +163,4 @@ Inputs.table(regFiltered, { - [Consip — Dati (fonte originale)](https://dati.consip.it/) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/consip_consumi_convenzione/2025/consip_consumi_convenzione_2025_clean.parquet) - [Pipeline](https://github.com/dataciviclab/dataset-incubator/tree/main/candidates/consip-consumi-convenzione) diff --git a/src/dataset/dipendenti-pubblici.md b/src/dataset/dipendenti-pubblici.md index a556b50..b4d623c 100644 --- a/src/dataset/dipendenti-pubblici.md +++ b/src/dataset/dipendenti-pubblici.md @@ -173,5 +173,4 @@ Inputs.table(data, { - [MEF · RGS · BDAP (fonte originale)](https://www.rgs.mef.gov.it/) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/dipendenti_pubblici/2024/dipendenti_pubblici_2024_clean.parquet) - [Pipeline](https://github.com/dataciviclab/dataset-incubator/tree/main/candidates/dipendenti-pubblici) diff --git a/src/dataset/elezioni-comunali.md b/src/dataset/elezioni-comunali.md index cb10b80..ce1aac0 100644 --- a/src/dataset/elezioni-comunali.md +++ b/src/dataset/elezioni-comunali.md @@ -130,5 +130,4 @@ Inputs.table(data.top_sindaci, { - [open-politica](https://github.com/dataciviclab/open-politica) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/elezioni_comunali/2024/elezioni_comunali_2024_clean.parquet) - [Pipeline](https://github.com/dataciviclab/open-politica/tree/main/datasets/elezioni-comunali) diff --git a/src/dataset/elezioni-europee.md b/src/dataset/elezioni-europee.md index d8149f7..18bab82 100644 --- a/src/dataset/elezioni-europee.md +++ b/src/dataset/elezioni-europee.md @@ -157,5 +157,4 @@ display(plot.plot({ - [open-politica](https://github.com/dataciviclab/open-politica) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/elezioni_europee/2024/elezioni_europee_2024_clean.parquet) - [Pipeline](https://github.com/dataciviclab/open-politica/tree/main/datasets/elezioni-europee) diff --git a/src/dataset/elezioni-politiche.md b/src/dataset/elezioni-politiche.md index 12dff1c..f847210 100644 --- a/src/dataset/elezioni-politiche.md +++ b/src/dataset/elezioni-politiche.md @@ -169,5 +169,4 @@ display(plot.plot({ - [open-politica](https://github.com/dataciviclab/open-politica) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/elezioni_politiche/2022/elezioni_politiche_2022_clean.parquet) - [Pipeline](https://github.com/dataciviclab/open-politica/tree/main/datasets/elezioni-politiche) diff --git a/src/dataset/elezioni-referendum.md b/src/dataset/elezioni-referendum.md index 216e0c7..44c34f5 100644 --- a/src/dataset/elezioni-referendum.md +++ b/src/dataset/elezioni-referendum.md @@ -143,5 +143,4 @@ Inputs.table(primoQuesito.map(d => ({ - [open-politica](https://github.com/dataciviclab/open-politica) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/elezioni_referendum/2022/elezioni_referendum_2022_clean.parquet) - [Pipeline](https://github.com/dataciviclab/open-politica/tree/main/datasets/elezioni-referendum) diff --git a/src/dataset/elezioni-regionali.md b/src/dataset/elezioni-regionali.md index e88b060..5798f3d 100644 --- a/src/dataset/elezioni-regionali.md +++ b/src/dataset/elezioni-regionali.md @@ -117,5 +117,4 @@ display(plot.plot({ - [open-politica](https://github.com/dataciviclab/open-politica) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/elezioni_regionali/2024/elezioni_regionali_2024_clean.parquet) - [Pipeline](https://github.com/dataciviclab/open-politica/tree/main/datasets/elezioni-regionali) diff --git a/src/dataset/entrate-stato.md b/src/dataset/entrate-stato.md index 7294014..7501bcd 100644 --- a/src/dataset/entrate-stato.md +++ b/src/dataset/entrate-stato.md @@ -191,5 +191,4 @@ Inputs.table(table, { - [RGS · BDAP — fonte originale](https://bdap.rgs.mef.gov.it/) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/bilancio-pubblico/bdap_entrate_stato/2025/bdap_entrate_stato_2025_clean.parquet) - [Pipeline](https://github.com/dataciviclab/openbdap-saldi-storico-stato/tree/main/datasets/bdap-entrate-stato) diff --git a/src/dataset/farmacie.md b/src/dataset/farmacie.md index 0783547..0d46bb3 100644 --- a/src/dataset/farmacie.md +++ b/src/dataset/farmacie.md @@ -196,5 +196,4 @@ Inputs.table(per_provincia, { - [Ministero della Salute — Open Data](https://www.salute.gov.it/portale/lea/dettaglioContenutiLea.jsp?lingua=italiano&id=5551&area=Lea&menu=vuoto) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/farmacie/2026/farmacie_2026_clean.parquet) - [Pipeline](https://github.com/dataciviclab/dataset-incubator/tree/main/candidates/farmacie) diff --git a/src/dataset/flussi-giustizia-civile.md b/src/dataset/flussi-giustizia-civile.md index 3b3bc23..b7ad70f 100644 --- a/src/dataset/flussi-giustizia-civile.md +++ b/src/dataset/flussi-giustizia-civile.md @@ -180,6 +180,5 @@ Inputs.table(filtered, { - [Ministero della Giustizia (fonte originale)](https://datiestatistiche.giustizia.it) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/civile_flussi/2025/civile_flussi_2025_clean.parquet) - [Analisi completa](https://github.com/dataciviclab/dataciviclab/tree/main/analisi/civile-flussi) - [Pipeline](https://github.com/dataciviclab/dataset-incubator/tree/main/candidates/civile-flussi) diff --git a/src/dataset/fts-eu-grants.md b/src/dataset/fts-eu-grants.md index 9fe6a99..520e1d7 100644 --- a/src/dataset/fts-eu-grants.md +++ b/src/dataset/fts-eu-grants.md @@ -211,5 +211,5 @@ FTS è una fotografia dei fondi UE **diretti** in Italia (assegnati dalla Commis ## Risorse - [Financial Transparency System](https://commission.europa.eu/funding-tenders/financial-transparency-system_en) -- [Scarica il parquet pulito 2024](https://storage.googleapis.com/dataciviclab-clean/fts_eu_grants/2024/fts_eu_grants_2024_clean.parquet) +- [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) - [Pipeline](https://github.com/dataciviclab/dataset-incubator/tree/main/candidates/fts-eu-grants) diff --git a/src/dataset/housing-crowding.md b/src/dataset/housing-crowding.md index 355be09..63086aa 100644 --- a/src/dataset/housing-crowding.md +++ b/src/dataset/housing-crowding.md @@ -159,5 +159,4 @@ Inputs.table(trend, { - [ISTAT — Esplora dati](https://esploradati.istat.it/) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/istat_housing_crowding/2024/istat_housing_crowding_2024_clean.parquet) - [Pipeline](https://github.com/dataciviclab/dataset-incubator/tree/main/candidates/istat-housing-crowding) diff --git a/src/dataset/irpef-comunale.md b/src/dataset/irpef-comunale.md index f49796a..10bc08e 100644 --- a/src/dataset/irpef-comunale.md +++ b/src/dataset/irpef-comunale.md @@ -205,5 +205,4 @@ Inputs.table(searchCap, { - [MEF — Dipartimento delle Finanze (fonte originale)](https://www1.finanze.gov.it/) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/irpef_comunale/2023/irpef_comunale_2023_clean.parquet) - [Pipeline](https://github.com/dataciviclab/dataset-incubator/tree/main/candidates/irpef-comunale) diff --git a/src/dataset/ispra-emissioni-ghg.md b/src/dataset/ispra-emissioni-ghg.md index b5ecec5..f5e90c0 100644 --- a/src/dataset/ispra-emissioni-ghg.md +++ b/src/dataset/ispra-emissioni-ghg.md @@ -186,5 +186,4 @@ Inputs.table(data.slice().sort((a, b) => b.anno - a.anno), { - [ISPRA — Indicatori Ambientali (fonte originale)](https://indicatoriambientali.isprambiente.it/) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/ispra_emissioni_ghg/2023/ispra_emissioni_ghg_2023_clean.parquet) - [Pipeline](https://github.com/dataciviclab/dataset-incubator/tree/main/candidates/ispra-emissioni-ghg) diff --git a/src/dataset/istat-gini-regionale.md b/src/dataset/istat-gini-regionale.md index e64f5bb..60ea61b 100644 --- a/src/dataset/istat-gini-regionale.md +++ b/src/dataset/istat-gini-regionale.md @@ -191,5 +191,4 @@ Inputs.table(annoConDelta, { - [ISTAT — Esplora dati](https://esploradati.istat.it/) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/istat_gini_regionale/2023/istat_gini_regionale_2023_clean.parquet) - [Pipeline](https://github.com/dataciviclab/dataset-incubator/tree/main/candidates/istat-gini-regionale) diff --git a/src/dataset/istat-ipab-aree.md b/src/dataset/istat-ipab-aree.md index fad01ac..bba556b 100644 --- a/src/dataset/istat-ipab-aree.md +++ b/src/dataset/istat-ipab-aree.md @@ -140,5 +140,4 @@ Inputs.table(ultimiValori, { - [ISTAT — IPAB (fonte originale)](https://www.istat.it/it/archivio/16773) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/istat_ipab_aree/2024/istat_ipab_aree_2024_clean.parquet) - [Pipeline](https://github.com/dataciviclab/dataset-incubator/tree/main/candidates/istat-ipab-aree) diff --git a/src/dataset/mef-partecipazioni.md b/src/dataset/mef-partecipazioni.md index 88abc9e..279483f 100644 --- a/src/dataset/mef-partecipazioni.md +++ b/src/dataset/mef-partecipazioni.md @@ -225,5 +225,4 @@ Il numero di società partecipate racconta solo metà della storia: le Regioni n - [MEF — Partecipazioni Pubbliche](https://www.mef.gov.it/) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/mef_partecipazioni/2023/mef_partecipazioni_2023_clean.parquet) - [Pipeline](https://github.com/dataciviclab/dataset-incubator/tree/main/candidates/mef-partecipazioni) diff --git a/src/dataset/mim-alunni-corso-eta.md b/src/dataset/mim-alunni-corso-eta.md index 99f3fdc..88bb34d 100644 --- a/src/dataset/mim-alunni-corso-eta.md +++ b/src/dataset/mim-alunni-corso-eta.md @@ -197,5 +197,4 @@ La secondaria di II grado è l'ordine con più iscritti, ma la demografia è in - [MIM — Dati istruzione](https://dati.istruzione.it/opendata/) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/mim_alunni_corso_eta/2025/mim_alunni_corso_eta_2025_clean.parquet) - [Pipeline](https://github.com/dataciviclab/dataset-incubator/tree/main/candidates/mim-alunni-corso-eta) diff --git a/src/dataset/mit-incidentalita.md b/src/dataset/mit-incidentalita.md index 059c6ad..c9e7422 100644 --- a/src/dataset/mit-incidentalita.md +++ b/src/dataset/mit-incidentalita.md @@ -195,5 +195,4 @@ Inputs.table(filtered, { - [MIT — Open Data](https://www.mit.gov.it/) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/mit_incidentalita_mensile/2001/mit_incidentalita_mensile_2001_clean.parquet) - [Pipeline](https://github.com/dataciviclab/dataset-incubator/tree/main/candidates/mit-incidentalita-mensile-2001-2018) diff --git a/src/dataset/opencivitas-fsc-2025.md b/src/dataset/opencivitas-fsc-2025.md index d2535c6..2b988ed 100644 --- a/src/dataset/opencivitas-fsc-2025.md +++ b/src/dataset/opencivitas-fsc-2025.md @@ -229,5 +229,4 @@ Inputs.table(perRegione, { - [OpenCivitas (fonte originale)](https://www.opencivitas.it/) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/opencivitas/opencivitas_fsc_rso/2025/opencivitas_fsc_rso_2025_clean.parquet) - [Pipeline](https://github.com/dataciviclab/opencivitas/tree/main/candidates/opencivitas-fsc-rso) diff --git a/src/dataset/opencoesione-progetti.md b/src/dataset/opencoesione-progetti.md index 0dc83ec..af593fa 100644 --- a/src/dataset/opencoesione-progetti.md +++ b/src/dataset/opencoesione-progetti.md @@ -209,6 +209,5 @@ Il Mezzogiorno è l'obiettivo dichiarato delle politiche di coesione, ma la capa ## Risorse - [OpenCoesione (fonte originale)](https://opencoesione.gov.it/) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/opencoesione_progetti/2026/opencoesione_progetti_2026_clean.parquet) - [Pipeline](https://github.com/dataciviclab/dataset-incubator/tree/main/candidates/opencoesione-progetti) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) diff --git a/src/dataset/pensioni-inps.md b/src/dataset/pensioni-inps.md index f9c5560..7c89382 100644 --- a/src/dataset/pensioni-inps.md +++ b/src/dataset/pensioni-inps.md @@ -148,5 +148,4 @@ Inputs.table(perGestione, { - [INPS Open Data (fonte originale)](https://www.inps.it/open-data) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/inps_pensioni_trimestrale/2024/inps_pensioni_trimestrale_2024_clean.parquet) - [Pipeline](https://github.com/dataciviclab/dataset-incubator/tree/main/candidates/inps-pensioni) diff --git a/src/dataset/pensioni-pa-dag.md b/src/dataset/pensioni-pa-dag.md index 0fda950..cef6cb9 100644 --- a/src/dataset/pensioni-pa-dag.md +++ b/src/dataset/pensioni-pa-dag.md @@ -192,5 +192,5 @@ La spesa per le pensioni della PA è una voce strutturale collegata al turnover - [Fonte originale — MEF DAG](https://www.dag.mef.gov.it/aree-tematiche/dati-amministrativi/index.html) - [Dati statistici spesa pensioni](https://datipensioni.mef.gov.it/) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/pensioni_pa_dag/2024/pensioni_pa_dag_2024_clean.parquet) +- [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) - [Pipeline](https://github.com/dataciviclab/dataset-incubator/tree/main/candidates/pensioni-pa-dag) diff --git a/src/dataset/pnrr-gare.md b/src/dataset/pnrr-gare.md index f455c27..c2d3dbd 100644 --- a/src/dataset/pnrr-gare.md +++ b/src/dataset/pnrr-gare.md @@ -192,5 +192,4 @@ Le prime 5 procedure coprono il ${Math.round(totalProc / data.kpi.n_gare * 100)} - [Italia Domani — PNRR](https://italiadomani.gov.it/) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/pnrr_gare/2026/pnrr_gare_2026_clean.parquet) - [Pipeline](https://github.com/dataciviclab/dataset-incubator/tree/main/candidates/pnrr-gare) diff --git a/src/dataset/pnrr-pagamenti.md b/src/dataset/pnrr-pagamenti.md index 4d07396..08ddb2d 100644 --- a/src/dataset/pnrr-pagamenti.md +++ b/src/dataset/pnrr-pagamenti.md @@ -132,5 +132,4 @@ display(plot.plot({ - [Italia Domani — PNRR](https://italiadomani.gov.it/) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/pnrr_pagamenti/2026/pnrr_pagamenti_2026_clean.parquet) - [Pipeline](https://github.com/dataciviclab/dataset-incubator/tree/main/candidates/pnrr-pagamenti) diff --git a/src/dataset/pnrr-progetti.md b/src/dataset/pnrr-progetti.md index 3649332..ebd14a2 100644 --- a/src/dataset/pnrr-progetti.md +++ b/src/dataset/pnrr-progetti.md @@ -147,5 +147,4 @@ display(plot.plot({ - [Italia Domani — PNRR](https://italiadomani.gov.it/) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/pnrr_progetti/2026/pnrr_progetti_2026_clean.parquet) - [Pipeline](https://github.com/dataciviclab/dataset-incubator/tree/main/candidates/pnrr-progetti) diff --git a/src/dataset/popolazione-istat.md b/src/dataset/popolazione-istat.md index aec91c6..a545a54 100644 --- a/src/dataset/popolazione-istat.md +++ b/src/dataset/popolazione-istat.md @@ -197,5 +197,4 @@ Inputs.table(filtered, { - [ISTAT — Esplora dati](https://esploradati.istat.it/) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/popolazione_istat_comunale_2019_2025/2025/popolazione_istat_comunale_2019_2025_2025_clean.parquet) - [Pipeline](https://github.com/dataciviclab/dataset-incubator/tree/main/candidates/popolazione-istat-comunale-2019-2025) diff --git a/src/dataset/posti-letto-stabilimento.md b/src/dataset/posti-letto-stabilimento.md index e88c4e7..6557a85 100644 --- a/src/dataset/posti-letto-stabilimento.md +++ b/src/dataset/posti-letto-stabilimento.md @@ -217,5 +217,4 @@ Inputs.table(perRegioneAnno, { - [Ministero della Salute — Banca Dati Posti Letto](https://www.salute.gov.it/portale/lea/dettaglioContenutiLea.jsp?lingua=italiano&id=5551&area=Lea&menu=vuoto) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/posti_letto_stabilimento/2023/posti_letto_stabilimento_2023_clean.parquet) - [Pipeline](https://github.com/dataciviclab/dataset-incubator/tree/main/candidates/posti-letto-stabilimento) diff --git a/src/dataset/produzione-elettrica-fonti.md b/src/dataset/produzione-elettrica-fonti.md index 6832a0e..0a3bc9c 100644 --- a/src/dataset/produzione-elettrica-fonti.md +++ b/src/dataset/produzione-elettrica-fonti.md @@ -166,5 +166,4 @@ Inputs.table(searchQuery, { - [Terna (fonte originale)](https://www.terna.it/) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/terna_electricity_by_source/2024/terna_electricity_by_source_2024_clean.parquet) - [Pipeline](https://github.com/dataciviclab/dataset-incubator/tree/main/candidates/terna-electricity-by-source) diff --git a/src/dataset/reparti-ricovero.md b/src/dataset/reparti-ricovero.md index 611c940..51f0c26 100644 --- a/src/dataset/reparti-ricovero.md +++ b/src/dataset/reparti-ricovero.md @@ -308,5 +308,4 @@ Inputs.table(dataArricchiti, { - [Ministero della Salute — Open Data Reparti di ricovero](https://www.salute.gov.it/portale/lea/dettaglioContenutiLea.jsp?lingua=italiano&id=5551&area=Lea&menu=vuoto) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/reparti_ricovero/2022/reparti_ricovero_2022_clean.parquet) - [Pipeline](https://github.com/dataciviclab/dataset-incubator/tree/main/candidates/reparti-ricovero) diff --git a/src/dataset/rifiuti-urbani.md b/src/dataset/rifiuti-urbani.md index 0626390..8e03fb5 100644 --- a/src/dataset/rifiuti-urbani.md +++ b/src/dataset/rifiuti-urbani.md @@ -177,5 +177,4 @@ Inputs.table(regFiltered, { - [ISPRA — Rifiuti Urbani (fonte originale)](https://www.isprambiente.gov.it/it/dati/dati-sui-rifiuti-urbani) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/ispra_ru_base/2024/ispra_ru_base_2024_clean.parquet) - [Pipeline](https://github.com/dataciviclab/dataset-incubator/tree/main/candidates/ispra-ru-base) diff --git a/src/dataset/silos-infrastrutture.md b/src/dataset/silos-infrastrutture.md index 078a835..65bb7f8 100644 --- a/src/dataset/silos-infrastrutture.md +++ b/src/dataset/silos-infrastrutture.md @@ -313,6 +313,5 @@ Inputs.table(topInterventi, { - [SILOS — Infrastrutture strategiche](https://silos.infrastrutturestrategiche.it/) - [Dump dati.camera.it](https://dati.camera.it/ocd/dump/silos/PISRapportoCSV2024.zip) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/silos_infrastrutture/2024/silos_infrastrutture_2024_clean.parquet) - [Pipeline](https://github.com/dataciviclab/dataset-incubator/tree/main/candidates/silos-infrastrutture) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) diff --git a/src/dataset/spesa-farmaceutica.md b/src/dataset/spesa-farmaceutica.md index d55da48..85477f7 100644 --- a/src/dataset/spesa-farmaceutica.md +++ b/src/dataset/spesa-farmaceutica.md @@ -179,5 +179,4 @@ Inputs.table(perRegione, { - [AIFA — Open Data (fonte originale)](https://www.aifa.gov.it/open-data) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/aifa_spesa_consumo/2024/aifa_spesa_consumo_2024_clean.parquet) - [Pipeline](https://github.com/dataciviclab/dataset-incubator/tree/main/candidates/aifa-spesa-consumo) diff --git a/src/dataset/strutture-asl.md b/src/dataset/strutture-asl.md index 8bdfd9f..cc34fb8 100644 --- a/src/dataset/strutture-asl.md +++ b/src/dataset/strutture-asl.md @@ -219,5 +219,4 @@ Inputs.table(data, { - [Ministero della Salute — Open Data Strutture e attività ASL](https://www.salute.gov.it/portale/lea/dettaglioContenutiLea.jsp?lingua=italiano&id=5551&area=Lea&menu=vuoto) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/strutture_asl/2022/strutture_asl_2022_clean.parquet) - [Pipeline](https://github.com/dataciviclab/dataset-incubator/tree/main/candidates/strutture-asl) diff --git a/src/dataset/strutture-ricovero-asl.md b/src/dataset/strutture-ricovero-asl.md index 1044a5d..1694f0d 100644 --- a/src/dataset/strutture-ricovero-asl.md +++ b/src/dataset/strutture-ricovero-asl.md @@ -193,5 +193,4 @@ Inputs.table(data, { - [Ministero della Salute — Open Data Strutture di ricovero per ASL](https://www.salute.gov.it/portale/lea/dettaglioContenutiLea.jsp?lingua=italiano&id=5551&area=Lea&menu=vuoto) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/strutture_ricovero_asl/2022/strutture_ricovero_asl_2022_clean.parquet) - [Pipeline](https://github.com/dataciviclab/dataset-incubator/tree/main/candidates/strutture-ricovero-asl) diff --git a/src/dataset/votazioni-camera.md b/src/dataset/votazioni-camera.md index 24cde58..c84ad61 100644 --- a/src/dataset/votazioni-camera.md +++ b/src/dataset/votazioni-camera.md @@ -192,5 +192,4 @@ Inputs.table(filtered2, { - [Camera dei Deputati — Dati aperti](https://dati.camera.it/) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/camera_votazioni_sparql/2025/camera_votazioni_sparql_2025_clean.parquet) - [Pipeline](https://github.com/dataciviclab/dataset-incubator/tree/main/candidates/camera-votazioni-sparql) diff --git a/src/dataset/voti-deputati.md b/src/dataset/voti-deputati.md index de7bc00..7b9ddf3 100644 --- a/src/dataset/voti-deputati.md +++ b/src/dataset/voti-deputati.md @@ -151,5 +151,4 @@ Inputs.table(tabDiss, { - [Camera dei Deputati — Dati aperti](https://dati.camera.it/) - [Esplora i dati con Query SQL](https://dataciviclab-dashboard.streamlit.app/Query_SQL) -- [Scarica il parquet pulito](https://storage.googleapis.com/dataciviclab-clean/camera_voti/2026/camera_voti_2026_clean.parquet) - [Pipeline](https://github.com/dataciviclab/open-politica/tree/main/datasets/camera-voti)