incendi-ondate-calore-sicilia/allerta_incendi_ondate_calore.twb at main · paolotroia-datavizlab/incendi-ondate-calore-sicilia · GitHub

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          </metadata-record>
          <metadata-record class='column'>
            <remote-name>citta</remote-name>
            <remote-type>130</remote-type>
            <local-name>[citta]</local-name>
            <parent-name>[df_ondate_calore]</parent-name>
            <remote-alias>citta</remote-alias>
            <ordinal>5</ordinal>
            <local-type>string</local-type>
            <aggregation>Count</aggregation>
            <contains-null>true</contains-null>
            <collation flag='1' name='LIT_RIT_S2' />
            <attributes>
              <attribute datatype='string' name='DebugRemoteType'>&quot;WSTR&quot;</attribute>
            </attributes>
            <object-id>[df!ondate!calore_2F75DFBC50924881B7F60B2CC49536A0]</object-id>
          </metadata-record>
          <metadata-record class='column'>
            <remote-name>data_previsione</remote-name>
            <remote-type>7</remote-type>
            <local-name>[data_previsione (df!ondate!calore)]</local-name>
            <parent-name>[df_ondate_calore]</parent-name>
            <remote-alias>data_previsione</remote-alias>
            <ordinal>6</ordinal>
            <local-type>date</local-type>
            <aggregation>Year</aggregation>
            <contains-null>true</contains-null>
            <attributes>
              <attribute datatype='string' name='DebugRemoteType'>&quot;DATE&quot;</attribute>
            </attributes>
            <object-id>[df!ondate!calore_2F75DFBC50924881B7F60B2CC49536A0]</object-id>
          </metadata-record>
          <metadata-record class='column'>
            <remote-name>tmax</remote-name>
            <remote-type>130</remote-type>
            <local-name>[tmax]</local-name>
            <parent-name>[df_ondate_calore]</parent-name>
            <remote-alias>tmax</remote-alias>
            <ordinal>7</ordinal>
            <local-type>string</local-type>
            <aggregation>Count</aggregation>
            <contains-null>true</contains-null>
            <collation flag='1' name='LIT_RIT_S2' />
            <attributes>
              <attribute datatype='string' name='DebugRemoteType'>&quot;WSTR&quot;</attribute>
            </attributes>
            <object-id>[df!ondate!calore_2F75DFBC50924881B7F60B2CC49536A0]</object-id>
          </metadata-record>
          <metadata-record class='column'>
            <remote-name>livello</remote-name>
            <remote-type>130</remote-type>
            <local-name>[livello (df!ondate!calore)]</local-name>
            <parent-name>[df_ondate_calore]</parent-name>
            <remote-alias>livello</remote-alias>
            <ordinal>8</ordinal>
            <local-type>string</local-type>
            <aggregation>Count</aggregation>
            <contains-null>true</contains-null>
            <collation flag='1' name='LIT_RIT_S2' />
            <attributes>
              <attribute datatype='string' name='DebugRemoteType'>&quot;WSTR&quot;</attribute>
            </attributes>
            <object-id>[df!ondate!calore_2F75DFBC50924881B7F60B2CC49536A0]</object-id>
          </metadata-record>
          <metadata-record class='column'>
            <remote-name>numero_avviso</remote-name>
            <remote-type>130</remote-type>
            <local-name>[numero_avviso]</local-name>
            <parent-name>[df_province_allerta]</parent-name>
            <remote-alias>numero_avviso</remote-alias>
            <ordinal>9</ordinal>
            <local-type>string</local-type>
            <aggregation>Count</aggregation>
            <contains-null>true</contains-null>
            <collation flag='1' name='LIT_RIT_S2' />
            <attributes>
              <attribute datatype='string' name='DebugRemoteType'>&quot;WSTR&quot;</attribute>
            </attributes>
            <object-id>[df!province!allerta_F0C0944DB3D54C17B1580F9B90660824]</object-id>
          </metadata-record>
          <metadata-record class='column'>
            <remote-name>data_emissione</remote-name>
            <remote-type>7</remote-type>
            <local-name>[data_emissione]</local-name>
            <parent-name>[df_province_allerta]</parent-name>
            <remote-alias>data_emissione</remote-alias>
            <ordinal>10</ordinal>
            <local-type>date</local-type>
            <aggregation>Year</aggregation>
            <contains-null>true</contains-null>
            <attributes>
              <attribute datatype='string' name='DebugRemoteType'>&quot;DATE&quot;</attribute>
            </attributes>
            <object-id>[df!province!allerta_F0C0944DB3D54C17B1580F9B90660824]</object-id>
          </metadata-record>
          <metadata-record class='column'>
            <remote-name>data_previsione</remote-name>
            <remote-type>7</remote-type>
            <local-name>[data_previsione]</local-name>
            <parent-name>[df_province_allerta]</parent-name>
            <remote-alias>data_previsione</remote-alias>
            <ordinal>11</ordinal>
            <local-type>date</local-type>
            <aggregation>Year</aggregation>
            <contains-null>true</contains-null>
            <attributes>
              <attribute datatype='string' name='DebugRemoteType'>&quot;DATE&quot;</attribute>
            </attributes>
            <object-id>[df!province!allerta_F0C0944DB3D54C17B1580F9B90660824]</object-id>
          </metadata-record>
          <metadata-record class='column'>
            <remote-name>provincia</remote-name>
            <remote-type>130</remote-type>
            <local-name>[provincia]</local-name>
            <parent-name>[df_province_allerta]</parent-name>
            <remote-alias>provincia</remote-alias>
            <ordinal>12</ordinal>
            <local-type>string</local-type>
            <aggregation>Count</aggregation>
            <contains-null>true</contains-null>
            <collation flag='1' name='LIT_RIT_S2' />
            <attributes>
              <attribute datatype='string' name='DebugRemoteType'>&quot;WSTR&quot;</attribute>
            </attributes>
            <object-id>[df!province!allerta_F0C0944DB3D54C17B1580F9B90660824]</object-id>
          </metadata-record>
          <metadata-record class='column'>
            <remote-name>pericolosita</remote-name>
            <remote-type>130</remote-type>
            <local-name>[pericolosita]</local-name>
            <parent-name>[df_province_allerta]</parent-name>
            <remote-alias>pericolosita</remote-alias>
            <ordinal>13</ordinal>
            <local-type>string</local-type>
            <aggregation>Count</aggregation>
            <contains-null>true</contains-null>
            <collation flag='1' name='LIT_RIT_S2' />
            <attributes>
              <attribute datatype='string' name='DebugRemoteType'>&quot;WSTR&quot;</attribute>
            </attributes>
            <object-id>[df!province!allerta_F0C0944DB3D54C17B1580F9B90660824]</object-id>
          </metadata-record>
          <metadata-record class='column'>
            <remote-name>livello</remote-name>
            <remote-type>130</remote-type>
            <local-name>[livello]</local-name>
            <parent-name>[df_province_allerta]</parent-name>
            <remote-alias>livello</remote-alias>
            <ordinal>14</ordinal>
            <local-type>string</local-type>
            <aggregation>Count</aggregation>
            <contains-null>true</contains-null>
            <collation flag='1' name='LIT_RIT_S2' />
            <attributes>
              <attribute datatype='string' name='DebugRemoteType'>&quot;WSTR&quot;</attribute>
            </attributes>
            <object-id>[df!province!allerta_F0C0944DB3D54C17B1580F9B90660824]</object-id>
          </metadata-record>
          <metadata-record class='column'>
            <remote-name>id_livello</remote-name>
            <remote-type>130</remote-type>
            <local-name>[id_livello]</local-name>
            <parent-name>[df_province_allerta]</parent-name>
            <remote-alias>id_livello</remote-alias>
            <ordinal>15</ordinal>
            <local-type>string</local-type>
            <aggregation>Count</aggregation>
            <contains-null>true</contains-null>
            <collation flag='1' name='LIT_RIT_S2' />
            <attributes>
              <attribute datatype='string' name='DebugRemoteType'>&quot;WSTR&quot;</attribute>
            </attributes>
            <object-id>[df!province!allerta_F0C0944DB3D54C17B1580F9B90660824]</object-id>
          </metadata-record>
          <metadata-record class='column'>
            <remote-name>numero_avviso</remote-name>
            <remote-type>130</remote-type>
            <local-name>[numero_avviso (criticita)]</local-name>
            <parent-name>[criticita]</parent-name>
            <remote-alias>numero_avviso</remote-alias>
            <ordinal>16</ordinal>
            <local-type>string</local-type>
            <aggregation>Count</aggregation>
            <contains-null>true</contains-null>
            <collation flag='1' name='LIT_RIT_S2' />
            <attributes>
              <attribute datatype='string' name='DebugRemoteType'>&quot;WSTR&quot;</attribute>
            </attributes>
            <object-id>[criticita_4E8919BD22BB4317A9CC2442F216F396]</object-id>
          </metadata-record>
          <metadata-record class='column'>
            <remote-name>data_emissione</remote-name>
            <remote-type>7</remote-type>
            <local-name>[data_emissione (criticita)]</local-name>
            <parent-name>[criticita]</parent-name>
            <remote-alias>data_emissione</remote-alias>
            <ordinal>17</ordinal>
            <local-type>date</local-type>
            <aggregation>Year</aggregation>
            <contains-null>true</contains-null>
            <attributes>
              <attribute datatype='string' name='DebugRemoteType'>&quot;DATE&quot;</attribute>
            </attributes>
            <object-id>[criticita_4E8919BD22BB4317A9CC2442F216F396]</object-id>
          </metadata-record>
          <metadata-record class='column'>
            <remote-name>data_previsione</remote-name>
            <remote-type>7</remote-type>
            <local-name>[data_previsione (criticita)]</local-name>
            <parent-name>[criticita]</parent-name>
            <remote-alias>data_previsione</remote-alias>
            <ordinal>18</ordinal>
            <local-type>date</local-type>
            <aggregation>Year</aggregation>
            <contains-null>true</contains-null>
            <attributes>
              <attribute datatype='string' name='DebugRemoteType'>&quot;DATE&quot;</attribute>
            </attributes>
            <object-id>[criticita_4E8919BD22BB4317A9CC2442F216F396]</object-id>
          </metadata-record>
          <metadata-record class='column'>
            <remote-name>precipitazioni</remote-name>
            <remote-type>130</remote-type>
            <local-name>[precipitazioni]</local-name>
            <parent-name>[criticita]</parent-name>
            <remote-alias>precipitazioni</remote-alias>
            <ordinal>19</ordinal>
            <local-type>string</local-type>
            <aggregation>Count</aggregation>
            <contains-null>true</contains-null>
            <collation flag='1' name='LIT_RIT_S2' />
            <attributes>
              <attribute datatype='string' name='DebugRemoteType'>&quot;WSTR&quot;</attribute>
            </attributes>
            <object-id>[criticita_4E8919BD22BB4317A9CC2442F216F396]</object-id>
          </metadata-record>
          <metadata-record class='column'>
            <remote-name>venti</remote-name>
            <remote-type>130</remote-type>
            <local-name>[venti]</local-name>
            <parent-name>[criticita]</parent-name>
            <remote-alias>venti</remote-alias>
            <ordinal>20</ordinal>
            <local-type>string</local-type>
            <aggregation>Count</aggregation>
            <contains-null>true</contains-null>
            <collation flag='1' name='LIT_RIT_S2' />
            <attributes>
              <attribute datatype='string' name='DebugRemoteType'>&quot;WSTR&quot;</attribute>
            </attributes>
            <object-id>[criticita_4E8919BD22BB4317A9CC2442F216F396]</object-id>
          </metadata-record>
          <metadata-record class='column'>
            <remote-name>temperature</remote-name>
            <remote-type>130</remote-type>
            <local-name>[temperature]</local-name>
            <parent-name>[criticita]</parent-name>
            <remote-alias>temperature</remote-alias>
            <ordinal>21</ordinal>
            <local-type>string</local-type>
            <aggregation>Count</aggregation>
            <contains-null>true</contains-null>
            <collation flag='1' name='LIT_RIT_S2' />
            <attributes>
              <attribute datatype='string' name='DebugRemoteType'>&quot;WSTR&quot;</attribute>
            </attributes>
            <object-id>[criticita_4E8919BD22BB4317A9CC2442F216F396]</object-id>
          </metadata-record>
          <metadata-record class='column'>
            <remote-name>umidita_bassi_strati</remote-name>
            <remote-type>130</remote-type>
            <local-name>[umidita_bassi_strati]</local-name>
            <parent-name>[criticita]</parent-name>
            <remote-alias>umidita_bassi_strati</remote-alias>
            <ordinal>22</ordinal>
            <local-type>string</local-type>
            <aggregation>Count</aggregation>
            <contains-null>true</contains-null>
            <collation flag='1' name='LIT_RIT_S2' />
            <attributes>
              <attribute datatype='string' name='DebugRemoteType'>&quot;WSTR&quot;</attribute>
            </attributes>
            <object-id>[criticita_4E8919BD22BB4317A9CC2442F216F396]</object-id>
          </metadata-record>
          <metadata-record class='column'>
            <remote-name>id_livello</remote-name>
            <remote-type>130</remote-type>
            <local-name>[id_livello (df!livelli!incendi)]</local-name>
            <parent-name>[df_livelli_incendi]</parent-name>
            <remote-alias>id_livello</remote-alias>
            <ordinal>23</ordinal>
            <local-type>string</local-type>
            <aggregation>Count</aggregation>
            <contains-null>true</contains-null>
            <collation flag='1' name='LIT_RIT_S2' />
            <attributes>
              <attribute datatype='string' name='DebugRemoteType'>&quot;WSTR&quot;</attribute>
            </attributes>
            <object-id>[df!livelli!incendi_785EEA525CE348D297F6494EBEBCC619]</object-id>
          </metadata-record>
          <metadata-record class='column'>
            <remote-name>livello</remote-name>
            <remote-type>130</remote-type>
            <local-name>[livello (df!livelli!incendi)]</local-name>
            <parent-name>[df_livelli_incendi]</parent-name>
            <remote-alias>livello</remote-alias>
            <ordinal>24</ordinal>
            <local-type>string</local-type>
            <aggregation>Count</aggregation>
            <contains-null>true</contains-null>
            <collation flag='1' name='LIT_RIT_S2' />
            <attributes>
              <attribute datatype='string' name='DebugRemoteType'>&quot;WSTR&quot;</attribute>
            </attributes>
            <object-id>[df!livelli!incendi_785EEA525CE348D297F6494EBEBCC619]</object-id>
          </metadata-record>
          <metadata-record class='column'>
            <remote-name>descrizione</remote-name>
            <remote-type>130</remote-type>
            <local-name>[descrizione]</local-name>
            <parent-name>[df_livelli_incendi]</parent-name>
            <remote-alias>descrizione</remote-alias>
            <ordinal>25</ordinal>
            <local-type>string</local-type>
            <aggregation>Count</aggregation>
            <contains-null>true</contains-null>
            <collation flag='1' name='LIT_RIT_S2' />
            <attributes>
              <attribute datatype='string' name='DebugRemoteType'>&quot;WSTR&quot;</attribute>
            </attributes>
            <object-id>[df!livelli!incendi_785EEA525CE348D297F6494EBEBCC619]</object-id>
          </metadata-record>
        </metadata-records>
      </connection>
      <aliases enabled='yes' />
      <column caption='0' datatype='integer' name='[Calculation_670754914711851008]' role='measure' type='quantitative'>
        <calculation class='tableau' formula='1' />
      </column>
      <column caption='1' datatype='integer' name='[Calculation_670754914711916545]' role='measure' type='quantitative'>
        <calculation class='tableau' formula='1' />
      </column>
      <column caption='Livello Calc' datatype='string' name='[Calculation_670754914712961026]' role='dimension' type='nominal'>
        <calculation class='tableau' formula='IF [livello] = &quot;nessuno&quot; THEN &quot;green&quot;&#13;&#10;ELSEIF [livello] = &quot;preallerta&quot; THEN &quot;yellow&quot;&#13;&#10;ELSEIF [livello] = &quot;attenzione&quot; THEN &quot;red&quot;&#13;&#10;END' />
      </column>
      <column caption='Livello Calc Incendi' datatype='string' name='[Calculation_670754914720903172]' role='dimension' type='nominal'>
        <calculation class='tableau' formula='IF [livello (df!livelli!incendi)] = &quot;nessuno&quot; THEN &quot;green&quot;&#13;&#10;ELSEIF [livello (df!livelli!incendi)] = &quot;preallerta&quot; THEN &quot;yellow&quot;&#13;&#10;ELSEIF [livello (df!livelli!incendi)] = &quot;attenzione&quot; THEN &quot;red&quot;&#13;&#10;END' />
      </column>
      <column caption='Blank' datatype='string' name='[Calculation_684547192022810624]' role='dimension' type='nominal'>
        <calculation class='tableau' formula='&apos; &apos;' />
      </column>
      <column caption='Livelli' datatype='string' name='[Livello (Df!Livelli!Incendi) (copy)_684547192028585987]' role='dimension' type='nominal'>
        <calculation class='tableau' formula='[livello (df!livelli!incendi)]' />
        <aliases>
          <alias key='&quot;attenzione&quot;' value='Attenzione' />
          <alias key='&quot;nessuno&quot;' value='Nessuno' />
          <alias key='&quot;preallerta&quot;' value='Preallerta' />
        </aliases>
      </column>
      <column caption='bollettini' datatype='table' name='[__tableau_internal_object_id__].[bollettini_96CCBFCF6FB540358158A6B28866F51A]' role='measure' type='quantitative' />
      <column caption='criticita' datatype='table' name='[__tableau_internal_object_id__].[criticita_4E8919BD22BB4317A9CC2442F216F396]' role='measure' type='quantitative' />
      <column caption='df_livelli_incendi' datatype='table' name='[__tableau_internal_object_id__].[df!livelli!incendi_785EEA525CE348D297F6494EBEBCC619]' role='measure' type='quantitative' />
      <column caption='df_ondate_calore' datatype='table' name='[__tableau_internal_object_id__].[df!ondate!calore_2F75DFBC50924881B7F60B2CC49536A0]' role='measure' type='quantitative' />
      <column caption='df_province_allerta' datatype='table' name='[__tableau_internal_object_id__].[df!province!allerta_F0C0944DB3D54C17B1580F9B90660824]' role='measure' type='quantitative' />
      <column caption='Citta' datatype='string' name='[citta]' role='dimension' semantic-role='[City].[Name]' type='nominal' />
      <column caption='Data Emissione (Bollettini)' datatype='date' name='[data_emissione (bollettini)]' role='dimension' type='ordinal' />
      <column caption='Data Emissione (Criticita)' datatype='date' name='[data_emissione (criticita)]' role='dimension' type='ordinal' />
      <column caption='Data Emissione (Df!Ondate!Calore)' datatype='date' name='[data_emissione (df!ondate!calore)]' role='dimension' type='ordinal' />
      <column caption='Data Emissione' datatype='date' name='[data_emissione]' role='dimension' type='ordinal' />
      <column caption='Data Previsione (Criticita)' datatype='date' name='[data_previsione (criticita)]' role='dimension' type='ordinal' />
      <column caption='Data Previsione (Df!Ondate!Calore)' datatype='date' name='[data_previsione (df!ondate!calore)]' role='dimension' type='ordinal' />
      <column caption='Data Previsione' datatype='date' name='[data_previsione]' role='dimension' type='ordinal' />
      <column caption='Descrizione' datatype='string' name='[descrizione]' role='dimension' type='nominal' />
      <column caption='Filename' datatype='string' name='[filename]' role='dimension' type='nominal' />
      <column caption='Id Livello (Df!Livelli!Incendi)' datatype='string' name='[id_livello (df!livelli!incendi)]' role='dimension' type='nominal' />
      <column caption='Id Livello' datatype='string' name='[id_livello]' role='dimension' type='nominal' />
      <column caption='Livello (Df!Livelli!Incendi)' datatype='string' name='[livello (df!livelli!incendi)]' role='dimension' type='nominal'>
        <aliases>
          <alias key='&quot;attenzione&quot;' value='Attenzione' />
          <alias key='&quot;nessuno&quot;' value='Nessuno' />
          <alias key='&quot;preallerta&quot;' value='Preallerta' />
        </aliases>
      </column>
      <column caption='Livello (Df!Ondate!Calore)' datatype='string' name='[livello (df!ondate!calore)]' role='dimension' type='nominal' />
      <column caption='Livello' datatype='string' name='[livello]' role='dimension' type='nominal' />
      <column caption='Numero Avviso (Bollettini)' datatype='string' default-role='measure' default-type='quantitative' name='[numero_avviso (bollettini)]' role='dimension' type='nominal' />
      <column caption='Numero Avviso (Criticita)' datatype='string' default-role='measure' default-type='quantitative' name='[numero_avviso (criticita)]' role='dimension' type='nominal' />
      <column caption='Numero Avviso (Df!Ondate!Calore)' datatype='string' default-role='measure' default-type='quantitative' name='[numero_avviso (df!ondate!calore)]' role='dimension' type='nominal' />
      <column caption='Numero Avviso' datatype='string' default-role='measure' default-type='quantitative' name='[numero_avviso]' role='dimension' type='nominal' />
      <column caption='Pericolosità' datatype='string' name='[pericolosita]' role='dimension' type='nominal' />
      <column caption='Precipitazioni' datatype='string' name='[precipitazioni]' role='dimension' type='nominal' />
      <column caption='Provincia' datatype='string' name='[provincia]' role='dimension' semantic-role='[NUTS].[Name]' type='nominal'>
        <semantic-values semantic-role='[State].[Name]'>
          <semantic-value key='&quot;Agrigento&quot;' value='&quot;Sicily&quot;' />
          <semantic-value key='&quot;Caltanissetta&quot;' value='&quot;Sicily&quot;' />
          <semantic-value key='&quot;Catania&quot;' value='&quot;Sicily&quot;' />
          <semantic-value key='&quot;Enna&quot;' value='&quot;Sicily&quot;' />
          <semantic-value key='&quot;Messina&quot;' value='&quot;Sicily&quot;' />
          <semantic-value key='&quot;Palermo&quot;' value='&quot;Sicily&quot;' />
          <semantic-value key='&quot;Ragusa&quot;' value='&quot;Sicily&quot;' />
          <semantic-value key='&quot;Siracusa&quot;' value='&quot;Sicily&quot;' />
          <semantic-value key='&quot;Trapani&quot;' value='&quot;Sicily&quot;' />
        </semantic-values>
      </column>
      <column caption='Temperature' datatype='string' name='[temperature]' role='dimension' type='nominal' />
      <column caption='Tmax' datatype='string' name='[tmax]' role='dimension' type='nominal' />
      <column caption='Umidita Bassi Strati' datatype='string' name='[umidita_bassi_strati]' role='dimension' type='nominal' />
      <column caption='Venti' datatype='string' name='[venti]' role='dimension' type='nominal' />
      <column-instance column='[Calculation_670754914712961026]' derivation='None' name='[none:Calculation_670754914712961026:nk]' pivot='key' type='nominal' />
      <column-instance column='[livello (df!livelli!incendi)]' derivation='None' name='[none:livello (df!livelli!incendi):nk]' pivot='key' type='nominal' />
      <column-instance column='[livello]' derivation='None' name='[none:livello:nk]' pivot='key' type='nominal' />
      <column-instance column='[provincia]' derivation='None' name='[none:provincia:nk]' pivot='key' type='nominal' />
      <group caption='Action (Livello Calc,Livello,Pericolosità,Provincia)' hidden='true' name='[Action (Livello Calc,Livello,Pericolosità,Provincia)]' name-style='unqualified' user:auto-column='sheet_link'>
        <groupfilter function='crossjoin'>
          <groupfilter function='level-members' level='[Calculation_670754914712961026]' />
          <groupfilter function='level-members' level='[livello]' />
          <groupfilter function='level-members' level='[pericolosita]' />
          <groupfilter function='level-members' level='[provincia]' />
        </groupfilter>
      </group>
      <group caption='Action (Livello,Provincia)' hidden='true' name='[Action (Livello,Provincia)]' name-style='unqualified' user:auto-column='sheet_link'>
        <groupfilter function='crossjoin'>
          <groupfilter function='level-members' level='[livello]' />
          <groupfilter function='level-members' level='[provincia]' />
        </groupfilter>
      </group>
      <drill-paths>
        <drill-path name='provincia, citta'>
          <field>[provincia]</field>
        </drill-path>
      </drill-paths>
      <extract _.fcp.VConnDownstreamExtractsWithWarnings.true...user-specific='false' count='-1' enabled='true' object-id='' units='records'>
        <connection access_mode='readonly' author-locale='en_US' class='hyper' dbname='C:/Users/pablo/AppData/Local/Temp/TableauTemp/#TableauTemp_0lu4wql1r4n0xl1dnsdso0yrtgu3.hyper' default-settings='hyper' schema='Extract' sslmode='' tablename='Extract' update-time='09/01/2025 01:26:54 PM' username='tableau_internal_user'>
          <relation type='collection'>
            <relation name='bollettini_96CCBFCF6FB540358158A6B28866F51A' table='[Extract].[bollettini_96CCBFCF6FB540358158A6B28866F51A]' type='table' />
            <relation name='df!ondate!calore_2F75DFBC50924881B7F60B2CC49536A0' table='[Extract].[df!ondate!calore_2F75DFBC50924881B7F60B2CC49536A0]' type='table' />
            <relation name='df!province!allerta_F0C0944DB3D54C17B1580F9B90660824' table='[Extract].[df!province!allerta_F0C0944DB3D54C17B1580F9B90660824]' type='table' />
            <relation name='criticita_4E8919BD22BB4317A9CC2442F216F396' table='[Extract].[criticita_4E8919BD22BB4317A9CC2442F216F396]' type='table' />
            <relation name='df!livelli!incendi_785EEA525CE348D297F6494EBEBCC619' table='[Extract].[df!livelli!incendi_785EEA525CE348D297F6494EBEBCC619]' type='table' />
          </relation>
          <cols>
            <map key='[citta]' value='[df!ondate!calore_2F75DFBC50924881B7F60B2CC49536A0].[citta]' />
            <map key='[data_emissione (bollettini)]' value='[bollettini_96CCBFCF6FB540358158A6B28866F51A].[data_emissione]' />
            <map key='[data_emissione (criticita)]' value='[criticita_4E8919BD22BB4317A9CC2442F216F396].[data_emissione]' />
            <map key='[data_emissione (df!ondate!calore)]' value='[df!ondate!calore_2F75DFBC50924881B7F60B2CC49536A0].[data_emissione]' />
            <map key='[data_emissione]' value='[df!province!allerta_F0C0944DB3D54C17B1580F9B90660824].[data_emissione]' />
            <map key='[data_previsione (criticita)]' value='[criticita_4E8919BD22BB4317A9CC2442F216F396].[data_previsione]' />
            <map key='[data_previsione (df!ondate!calore)]' value='[df!ondate!calore_2F75DFBC50924881B7F60B2CC49536A0].[data_previsione]' />
            <map key='[data_previsione]' value='[df!province!allerta_F0C0944DB3D54C17B1580F9B90660824].[data_previsione]' />
            <map key='[descrizione]' value='[df!livelli!incendi_785EEA525CE348D297F6494EBEBCC619].[descrizione]' />
            <map key='[filename]' value='[bollettini_96CCBFCF6FB540358158A6B28866F51A].[filename]' />
            <map key='[id_livello (df!livelli!incendi)]' value='[df!livelli!incendi_785EEA525CE348D297F6494EBEBCC619].[id_livello]' />
            <map key='[id_livello]' value='[df!province!allerta_F0C0944DB3D54C17B1580F9B90660824].[id_livello]' />
            <map key='[livello (df!livelli!incendi)]' value='[df!livelli!incendi_785EEA525CE348D297F6494EBEBCC619].[livello]' />
            <map key='[livello (df!ondate!calore)]' value='[df!ondate!calore_2F75DFBC50924881B7F60B2CC49536A0].[livello]' />
            <map key='[livello]' value='[df!province!allerta_F0C0944DB3D54C17B1580F9B90660824].[livello]' />
            <map key='[numero_avviso (bollettini)]' value='[bollettini_96CCBFCF6FB540358158A6B28866F51A].[numero_avviso]' />
            <map key='[numero_avviso (criticita)]' value='[criticita_4E8919BD22BB4317A9CC2442F216F396].[numero_avviso]' />
            <map key='[numero_avviso (df!ondate!calore)]' value='[df!ondate!calore_2F75DFBC50924881B7F60B2CC49536A0].[numero_avviso]' />
            <map key='[numero_avviso]' value='[df!province!allerta_F0C0944DB3D54C17B1580F9B90660824].[numero_avviso]' />
            <map key='[pericolosita]' value='[df!province!allerta_F0C0944DB3D54C17B1580F9B90660824].[pericolosita]' />
            <map key='[precipitazioni]' value='[criticita_4E8919BD22BB4317A9CC2442F216F396].[precipitazioni]' />
            <map key='[provincia]' value='[df!province!allerta_F0C0944DB3D54C17B1580F9B90660824].[provincia]' />
            <map key='[temperature]' value='[criticita_4E8919BD22BB4317A9CC2442F216F396].[temperature]' />
            <map key='[tmax]' value='[df!ondate!calore_2F75DFBC50924881B7F60B2CC49536A0].[tmax]' />
            <map key='[umidita_bassi_strati]' value='[criticita_4E8919BD22BB4317A9CC2442F216F396].[umidita_bassi_strati]' />
            <map key='[venti]' value='[criticita_4E8919BD22BB4317A9CC2442F216F396].[venti]' />
          </cols>
          <metadata-records>
            <metadata-record class='column'>
              <remote-name>numero_avviso</remote-name>
              <remote-type>129</remote-type>
              <local-name>[numero_avviso (bollettini)]</local-name>
              <parent-name>[bollettini_96CCBFCF6FB540358158A6B28866F51A]</parent-name>
              <remote-alias>numero_avviso</remote-alias>
              <ordinal>0</ordinal>
              <family>bollettini</family>
              <local-type>string</local-type>
              <aggregation>Count</aggregation>
              <approx-count>164</approx-count>
              <contains-null>true</contains-null>
              <collation flag='0' name='LIT_RIT' />
              <object-id>[bollettini_96CCBFCF6FB540358158A6B28866F51A]</object-id>
            </metadata-record>
            <metadata-record class='column'>
              <remote-name>data_emissione</remote-name>
              <remote-type>133</remote-type>
              <local-name>[data_emissione (bollettini)]</local-name>
              <parent-name>[bollettini_96CCBFCF6FB540358158A6B28866F51A]</parent-name>
              <remote-alias>data_emissione</remote-alias>
              <ordinal>1</ordinal>
              <family>bollettini</family>
              <local-type>date</local-type>
              <aggregation>Year</aggregation>
              <approx-count>164</approx-count>
              <contains-null>true</contains-null>
              <object-id>[bollettini_96CCBFCF6FB540358158A6B28866F51A]</object-id>
            </metadata-record>
            <metadata-record class='column'>
              <remote-name>filename</remote-name>
              <remote-type>129</remote-type>
              <local-name>[filename]</local-name>
              <parent-name>[bollettini_96CCBFCF6FB540358158A6B28866F51A]</parent-name>
              <remote-alias>filename</remote-alias>
              <ordinal>2</ordinal>
              <family>bollettini</family>
              <local-type>string</local-type>
              <aggregation>Count</aggregation>
              <approx-count>164</approx-count>
              <contains-null>true</contains-null>
              <collation flag='0' name='LIT_RIT' />
              <object-id>[bollettini_96CCBFCF6FB540358158A6B28866F51A]</object-id>
            </metadata-record>
            <metadata-record class='column'>
              <remote-name>numero_avviso</remote-name>
              <remote-type>129</remote-type>
              <local-name>[numero_avviso (df!ondate!calore)]</local-name>
              <parent-name>[df!ondate!calore_2F75DFBC50924881B7F60B2CC49536A0]</parent-name>
              <remote-alias>numero_avviso</remote-alias>
              <ordinal>3</ordinal>
              <family>df_ondate_calore</family>
              <local-type>string</local-type>
              <aggregation>Count</aggregation>
              <approx-count>88</approx-count>
              <contains-null>true</contains-null>
              <collation flag='0' name='LIT_RIT' />
              <object-id>[df!ondate!calore_2F75DFBC50924881B7F60B2CC49536A0]</object-id>
            </metadata-record>
            <metadata-record class='column'>
              <remote-name>data_emissione</remote-name>
              <remote-type>133</remote-type>
              <local-name>[data_emissione (df!ondate!calore)]</local-name>
              <parent-name>[df!ondate!calore_2F75DFBC50924881B7F60B2CC49536A0]</parent-name>
              <remote-alias>data_emissione</remote-alias>
              <ordinal>4</ordinal>
              <family>df_ondate_calore</family>
              <local-type>date</local-type>
              <aggregation>Year</aggregation>
              <approx-count>88</approx-count>
              <contains-null>true</contains-null>
              <object-id>[df!ondate!calore_2F75DFBC50924881B7F60B2CC49536A0]</object-id>
            </metadata-record>
            <metadata-record class='column'>
              <remote-name>citta</remote-name>
              <remote-type>129</remote-type>
              <local-name>[citta]</local-name>
              <parent-name>[df!ondate!calore_2F75DFBC50924881B7F60B2CC49536A0]</parent-name>
              <remote-alias>citta</remote-alias>
              <ordinal>5</ordinal>
              <family>df_ondate_calore</family>
              <local-type>string</local-type>
              <aggregation>Count</aggregation>
              <approx-count>3</approx-count>
              <contains-null>true</contains-null>
              <collation flag='0' name='LIT_RIT' />
              <object-id>[df!ondate!calore_2F75DFBC50924881B7F60B2CC49536A0]</object-id>
            </metadata-record>
            <metadata-record class='column'>
              <remote-name>data_previsione</remote-name>
              <remote-type>133</remote-type>
              <local-name>[data_previsione (df!ondate!calore)]</local-name>
              <parent-name>[df!ondate!calore_2F75DFBC50924881B7F60B2CC49536A0]</parent-name>
              <remote-alias>data_previsione</remote-alias>
              <ordinal>6</ordinal>
              <family>df_ondate_calore</family>
              <local-type>date</local-type>
              <aggregation>Year</aggregation>
              <approx-count>96</approx-count>
              <contains-null>true</contains-null>
              <object-id>[df!ondate!calore_2F75DFBC50924881B7F60B2CC49536A0]</object-id>
            </metadata-record>
            <metadata-record class='column'>
              <remote-name>tmax</remote-name>
              <remote-type>129</remote-type>
              <local-name>[tmax]</local-name>
              <parent-name>[df!ondate!calore_2F75DFBC50924881B7F60B2CC49536A0]</parent-name>
              <remote-alias>tmax</remote-alias>
              <ordinal>7</ordinal>
              <family>df_ondate_calore</family>
              <local-type>string</local-type>
              <aggregation>Count</aggregation>
              <approx-count>23</approx-count>
              <contains-null>true</contains-null>
              <collation flag='0' name='LIT_RIT' />
              <object-id>[df!ondate!calore_2F75DFBC50924881B7F60B2CC49536A0]</object-id>
            </metadata-record>
            <metadata-record class='column'>
              <remote-name>livello</remote-name>
              <remote-type>129</remote-type>
              <local-name>[livello (df!ondate!calore)]</local-name>
              <parent-name>[df!ondate!calore_2F75DFBC50924881B7F60B2CC49536A0]</parent-name>
              <remote-alias>livello</remote-alias>
              <ordinal>8</ordinal>
              <family>df_ondate_calore</family>
              <local-type>string</local-type>
              <aggregation>Count</aggregation>
              <approx-count>4</approx-count>
              <contains-null>true</contains-null>
              <collation flag='0' name='LIT_RIT' />
              <object-id>[df!ondate!calore_2F75DFBC50924881B7F60B2CC49536A0]</object-id>
            </metadata-record>
            <metadata-record class='column'>
              <remote-name>numero_avviso</remote-name>
              <remote-type>129</remote-type>
              <local-name>[numero_avviso]</local-name>
              <parent-name>[df!province!allerta_F0C0944DB3D54C17B1580F9B90660824]</parent-name>
              <remote-alias>numero_avviso</remote-alias>
              <ordinal>9</ordinal>
              <family>df_province_allerta</family>
              <local-type>string</local-type>
              <aggregation>Count</aggregation>
              <approx-count>164</approx-count>
              <contains-null>true</contains-null>
              <collation flag='0' name='LIT_RIT' />
              <object-id>[df!province!allerta_F0C0944DB3D54C17B1580F9B90660824]</object-id>
            </metadata-record>
            <metadata-record class='column'>
              <remote-name>data_emissione</remote-name>
              <remote-type>133</remote-type>
              <local-name>[data_emissione]</local-name>
              <parent-name>[df!province!allerta_F0C0944DB3D54C17B1580F9B90660824]</parent-name>
              <remote-alias>data_emissione</remote-alias>
              <ordinal>10</ordinal>
              <family>df_province_allerta</family>
              <local-type>date</local-type>
              <aggregation>Year</aggregation>
              <approx-count>164</approx-count>
              <contains-null>true</contains-null>
              <object-id>[df!province!allerta_F0C0944DB3D54C17B1580F9B90660824]</object-id>
            </metadata-record>
            <metadata-record class='column'>
              <remote-name>data_previsione</remote-name>
              <remote-type>133</remote-type>
              <local-name>[data_previsione]</local-name>
              <parent-name>[df!province!allerta_F0C0944DB3D54C17B1580F9B90660824]</parent-name>
              <remote-alias>data_previsione</remote-alias>
              <ordinal>11</ordinal>
              <family>df_province_allerta</family>
              <local-type>date</local-type>
              <aggregation>Year</aggregation>
              <approx-count>179</approx-count>
              <contains-null>true</contains-null>
              <object-id>[df!province!allerta_F0C0944DB3D54C17B1580F9B90660824]</object-id>
            </metadata-record>
            <metadata-record class='column'>
              <remote-name>provincia</remote-name>
              <remote-type>129</remote-type>
              <local-name>[provincia]</local-name>
              <parent-name>[df!province!allerta_F0C0944DB3D54C17B1580F9B90660824]</parent-name>
              <remote-alias>provincia</remote-alias>
              <ordinal>12</ordinal>
              <family>df_province_allerta</family>
              <local-type>string</local-type>
              <aggregation>Count</aggregation>
              <approx-count>9</approx-count>
              <contains-null>true</contains-null>
              <collation flag='0' name='LIT_RIT' />
              <object-id>[df!province!allerta_F0C0944DB3D54C17B1580F9B90660824]</object-id>
            </metadata-record>
            <metadata-record class='column'>
              <remote-name>pericolosita</remote-name>
              <remote-type>129</remote-type>
              <local-name>[pericolosita]</local-name>
              <parent-name>[df!province!allerta_F0C0944DB3D54C17B1580F9B90660824]</parent-name>
              <remote-alias>pericolosita</remote-alias>
              <ordinal>13</ordinal>
              <family>df_province_allerta</family>
              <local-type>string</local-type>
              <aggregation>Count</aggregation>
              <approx-count>3</approx-count>
              <contains-null>true</contains-null>
              <collation flag='0' name='LIT_RIT' />
              <object-id>[df!province!allerta_F0C0944DB3D54C17B1580F9B90660824]</object-id>
            </metadata-record>
            <metadata-record class='column'>
              <remote-name>livello</remote-name>
              <remote-type>129</remote-type>
              <local-name>[livello]</local-name>
              <parent-name>[df!province!allerta_F0C0944DB3D54C17B1580F9B90660824]</parent-name>
              <remote-alias>livello</remote-alias>
              <ordinal>14</ordinal>
              <family>df_province_allerta</family>
              <local-type>string</local-type>
              <aggregation>Count</aggregation>
              <approx-count>3</approx-count>
              <contains-null>true</contains-null>
              <collation flag='0' name='LIT_RIT' />
              <object-id>[df!province!allerta_F0C0944DB3D54C17B1580F9B90660824]</object-id>
            </metadata-record>
            <metadata-record class='column'>
              <remote-name>id_livello</remote-name>
              <remote-type>129</remote-type>
              <local-name>[id_livello]</local-name>
              <parent-name>[df!province!allerta_F0C0944DB3D54C17B1580F9B90660824]</parent-name>
              <remote-alias>id_livello</remote-alias>
              <ordinal>15</ordinal>
              <family>df_province_allerta</family>
              <local-type>string</local-type>
              <aggregation>Count</aggregation>
              <approx-count>3</approx-count>
              <contains-null>true</contains-null>
              <collation flag='0' name='LIT_RIT' />
              <object-id>[df!province!allerta_F0C0944DB3D54C17B1580F9B90660824]</object-id>
            </metadata-record>
            <metadata-record class='column'>
              <remote-name>numero_avviso</remote-name>
              <remote-type>129</remote-type>
              <local-name>[numero_avviso (criticita)]</local-name>
              <parent-name>[criticita_4E8919BD22BB4317A9CC2442F216F396]</parent-name>
              <remote-alias>numero_avviso</remote-alias>
              <ordinal>16</ordinal>
              <family>criticita</family>
              <local-type>string</local-type>
              <aggregation>Count</aggregation>
              <approx-count>164</approx-count>
              <contains-null>true</contains-null>
              <collation flag='0' name='LIT_RIT' />
              <object-id>[criticita_4E8919BD22BB4317A9CC2442F216F396]</object-id>
            </metadata-record>
            <metadata-record class='column'>
              <remote-name>data_emissione</remote-name>
              <remote-type>133</remote-type>
              <local-name>[data_emissione (criticita)]</local-name>
              <parent-name>[criticita_4E8919BD22BB4317A9CC2442F216F396]</parent-name>
              <remote-alias>data_emissione</remote-alias>
              <ordinal>17</ordinal>
              <family>criticita</family>
              <local-type>date</local-type>
              <aggregation>Year</aggregation>
              <approx-count>164</approx-count>
              <contains-null>true</contains-null>
              <object-id>[criticita_4E8919BD22BB4317A9CC2442F216F396]</object-id>
            </metadata-record>
            <metadata-record class='column'>
              <remote-name>data_previsione</remote-name>
              <remote-type>133</remote-type>
              <local-name>[data_previsione (criticita)]</local-name>
              <parent-name>[criticita_4E8919BD22BB4317A9CC2442F216F396]</parent-name>
              <remote-alias>data_previsione</remote-alias>
              <ordinal>18</ordinal>
              <family>criticita</family>
              <local-type>date</local-type>
              <aggregation>Year</aggregation>
              <approx-count>179</approx-count>