Jahresrückblick 2025 – unser neuer Blogbeitrag ist online! ✨

[crunchip]

für die, die es verwenden, habe die Ansicht Tageswerte für Deutschland und Global angepasst

für Deutschland

Spoiler

{
 "datasource": "InfluxDB-corona",
 "aliasColors": {
   "Genesen": "dark-green",
   "Kritisch": "dark-purple",
   "Sterbefälle": "dark-red",
   "aktiv": "dark-orange",
   "infiziert": "dark-blue"
 },
 "bars": true,
 "dashLength": 10,
 "dashes": false,
 "fill": 1,
 "fillGradient": 0,
 "gridPos": {
   "h": 6,
   "w": 12,
   "x": 0,
   "y": 13
 },
 "hiddenSeries": false,
 "id": 26,
 "legend": {
   "avg": false,
   "current": true,
   "hideEmpty": false,
   "hideZero": false,
   "max": false,
   "min": false,
   "show": true,
   "total": false,
   "values": true
 },
 "lines": false,
 "linewidth": 1,
 "nullPointMode": "null",
 "options": {
   "dataLinks": []
 },
 "percentage": false,
 "pointradius": 2,
 "points": false,
 "renderer": "flot",
 "seriesOverrides": [
   {
     "alias": "Sterbefälle"
   },
   {
     "alias": "Kritisch"
   },
   {
     "alias": "aktiv"
   },
   {
     "alias": "infiziert"
   },
   {
     "alias": "Genesen"
   }
 ],
 "spaceLength": 10,
 "stack": true,
 "steppedLine": false,
 "targets": [
   {
     "alias": "Kritisch",
     "groupBy": [
       {
         "params": [
           "$__interval"
         ],
         "type": "time"
       },
       {
         "params": [
           "null"
         ],
         "type": "fill"
       }
     ],
     "orderByTime": "ASC",
     "policy": "default",
     "query": "SELECT non_negative_difference(last(cumulative_sum))FROM (\nSELECT cumulative_sum(non_negative_difference(last(\"value\"))) FROM \"coronavirus-statistics.0.Germany.critical\" WHERE $timeFilter GROUP BY time(1d)\n) WHERE $timeFilter GROUP BY time(1d) tz('Europe/Berlin')",
     "rawQuery": true,
     "refId": "D",
     "resultFormat": "time_series",
     "select": [
       [
         {
           "params": [
             "value"
           ],
           "type": "field"
         },
         {
           "params": [],
           "type": "mean"
         }
       ]
     ],
     "tags": []
   },
   {
     "alias": "infiziert",
     "groupBy": [
       {
         "params": [
           "$__interval"
         ],
         "type": "time"
       },
       {
         "params": [
           "null"
         ],
         "type": "fill"
       }
     ],
     "orderByTime": "ASC",
     "policy": "default",
     "query": "SELECT non_negative_difference(last(cumulative_sum))FROM (\nSELECT cumulative_sum(non_negative_difference(last(\"value\"))) FROM \"coronavirus-statistics.0.Germany.cases\" WHERE $timeFilter GROUP BY time(1d)\n) WHERE $timeFilter GROUP BY time(1d) tz('Europe/Berlin')",
     "rawQuery": true,
     "refId": "A",
     "resultFormat": "time_series",
     "select": [
       [
         {
           "params": [
             "value"
           ],
           "type": "field"
         },
         {
           "params": [],
           "type": "mean"
         }
       ]
     ],
     "tags": []
   },
   {
     "alias": "aktiv",
     "groupBy": [
       {
         "params": [
           "$__interval"
         ],
         "type": "time"
       },
       {
         "params": [
           "null"
         ],
         "type": "fill"
       }
     ],
     "orderByTime": "ASC",
     "policy": "default",
     "query": "SELECT non_negative_difference(last(cumulative_sum))FROM (\nSELECT cumulative_sum(non_negative_difference(last(\"value\"))) FROM \"coronavirus-statistics.0.Germany.active\" WHERE $timeFilter GROUP BY time(1d)\n) WHERE $timeFilter GROUP BY time(1d) tz('Europe/Berlin')",
     "rawQuery": true,
     "refId": "B",
     "resultFormat": "time_series",
     "select": [
       [
         {
           "params": [
             "value"
           ],
           "type": "field"
         },
         {
           "params": [],
           "type": "mean"
         }
       ]
     ],
     "tags": []
   },
   {
     "alias": "Sterbefälle",
     "groupBy": [
       {
         "params": [
           "$__interval"
         ],
         "type": "time"
       },
       {
         "params": [
           "null"
         ],
         "type": "fill"
       }
     ],
     "orderByTime": "ASC",
     "policy": "default",
     "query": "SELECT non_negative_difference(last(cumulative_sum))FROM (\nSELECT cumulative_sum(non_negative_difference(last(\"value\"))) FROM \"coronavirus-statistics.0.Germany.deaths\" WHERE $timeFilter GROUP BY time(1d)\n) WHERE $timeFilter GROUP BY time(1d) tz('Europe/Berlin')",
     "rawQuery": true,
     "refId": "C",
     "resultFormat": "time_series",
     "select": [
       [
         {
           "params": [
             "value"
           ],
           "type": "field"
         },
         {
           "params": [],
           "type": "mean"
         }
       ]
     ],
     "tags": []
   },
   {
     "alias": "Genesen",
     "groupBy": [
       {
         "params": [
           "$__interval"
         ],
         "type": "time"
       },
       {
         "params": [
           "null"
         ],
         "type": "fill"
       }
     ],
     "orderByTime": "ASC",
     "policy": "default",
     "query": "SELECT non_negative_difference(last(cumulative_sum))FROM (\nSELECT cumulative_sum(non_negative_difference(last(\"value\"))) FROM \"coronavirus-statistics.0.Germany.recovered\" WHERE $timeFilter GROUP BY time(1d)\n) WHERE $timeFilter GROUP BY time(1d) tz('Europe/Berlin')",
     "rawQuery": true,
     "refId": "E",
     "resultFormat": "time_series",
     "select": [
       [
         {
           "params": [
             "value"
           ],
           "type": "field"
         },
         {
           "params": [],
           "type": "mean"
         }
       ]
     ],
     "tags": []
   }
 ],
 "thresholds": [],
 "timeFrom": "7d",
 "timeRegions": [],
 "timeShift": null,
 "title": "Tageswerte Deutschland",
 "tooltip": {
   "shared": true,
   "sort": 0,
   "value_type": "individual"
 },
 "transparent": true,
 "type": "graph",
 "xaxis": {
   "buckets": null,
   "mode": "time",
   "name": null,
   "show": true,
   "values": []
 },
 "yaxes": [
   {
     "format": "short",
     "label": null,
     "logBase": 1,
     "max": null,
     "min": null,
     "show": true
   },
   {
     "format": "short",
     "label": null,
     "logBase": 1,
     "max": null,
     "min": null,
     "show": true
   }
 ],
 "yaxis": {
   "align": false,
   "alignLevel": null
 }
}

für Global

Spoiler

{
 "datasource": "InfluxDB-corona",
 "aliasColors": {
   "Genesen": "dark-green",
   "Kritisch": "dark-purple",
   "Sterbefälle": "dark-red",
   "aktiv": "dark-orange",
   "infiziert": "dark-blue"
 },
 "bars": true,
 "dashLength": 10,
 "dashes": false,
 "fill": 1,
 "fillGradient": 0,
 "gridPos": {
   "h": 6,
   "w": 12,
   "x": 0,
   "y": 19
 },
 "hiddenSeries": false,
 "id": 27,
 "legend": {
   "avg": false,
   "current": true,
   "hideEmpty": false,
   "hideZero": false,
   "max": false,
   "min": false,
   "show": true,
   "total": false,
   "values": true,
   "alignAsTable": false
 },
 "lines": false,
 "linewidth": 1,
 "nullPointMode": "null",
 "options": {
   "dataLinks": []
 },
 "percentage": false,
 "pointradius": 2,
 "points": false,
 "renderer": "flot",
 "seriesOverrides": [
   {
     "alias": "Sterbefälle"
   },
   {
     "alias": "Kritisch"
   },
   {
     "alias": "aktiv"
   },
   {
     "alias": "Genesen"
   },
   {
     "alias": "infiziert"
   }
 ],
 "spaceLength": 10,
 "stack": true,
 "steppedLine": false,
 "targets": [
   {
     "alias": "Kritisch",
     "groupBy": [
       {
         "params": [
           "$__interval"
         ],
         "type": "time"
       },
       {
         "params": [
           "null"
         ],
         "type": "fill"
       }
     ],
     "orderByTime": "ASC",
     "policy": "default",
     "query": "SELECT non_negative_difference(last(cumulative_sum))FROM (\nSELECT cumulative_sum(non_negative_difference(last(\"value\"))) FROM \"coronavirus-statistics.0.global_continents.World_Sum.critical\" WHERE $timeFilter GROUP BY time(1d)\n) WHERE $timeFilter GROUP BY time(1d) tz('Europe/Berlin')",
     "rawQuery": true,
     "refId": "D",
     "resultFormat": "time_series",
     "select": [
       [
         {
           "params": [
             "value"
           ],
           "type": "field"
         },
         {
           "params": [],
           "type": "mean"
         }
       ]
     ],
     "tags": []
   },
   {
     "alias": "infiziert",
     "groupBy": [
       {
         "params": [
           "$__interval"
         ],
         "type": "time"
       },
       {
         "params": [
           "null"
         ],
         "type": "fill"
       }
     ],
     "orderByTime": "ASC",
     "policy": "default",
     "query": "SELECT non_negative_difference(last(cumulative_sum))FROM (\nSELECT cumulative_sum(non_negative_difference(last(\"value\"))) FROM \"coronavirus-statistics.0.global_continents.World_Sum.cases\" WHERE $timeFilter GROUP BY time(1d)\n) WHERE $timeFilter GROUP BY time(1d) tz('Europe/Berlin')",
     "rawQuery": true,
     "refId": "A",
     "resultFormat": "time_series",
     "select": [
       [
         {
           "params": [
             "value"
           ],
           "type": "field"
         },
         {
           "params": [],
           "type": "mean"
         }
       ]
     ],
     "tags": []
   },
   {
     "alias": "aktiv",
     "groupBy": [
       {
         "params": [
           "$__interval"
         ],
         "type": "time"
       },
       {
         "params": [
           "null"
         ],
         "type": "fill"
       }
     ],
     "orderByTime": "ASC",
     "policy": "default",
     "query": "SELECT non_negative_difference(last(cumulative_sum))FROM (\nSELECT cumulative_sum(non_negative_difference(last(\"value\"))) FROM \"coronavirus-statistics.0.global_continents.World_Sum.active\" WHERE $timeFilter GROUP BY time(1d)\n) WHERE $timeFilter GROUP BY time(1d) tz('Europe/Berlin')",
     "rawQuery": true,
     "refId": "B",
     "resultFormat": "time_series",
     "select": [
       [
         {
           "params": [
             "value"
           ],
           "type": "field"
         },
         {
           "params": [],
           "type": "mean"
         }
       ]
     ],
     "tags": []
   },
   {
     "alias": "Sterbefälle",
     "groupBy": [
       {
         "params": [
           "$__interval"
         ],
         "type": "time"
       },
       {
         "params": [
           "null"
         ],
         "type": "fill"
       }
     ],
     "orderByTime": "ASC",
     "policy": "default",
     "query": "SELECT non_negative_difference(last(cumulative_sum))FROM (\nSELECT cumulative_sum(non_negative_difference(last(\"value\"))) FROM \"coronavirus-statistics.0.global_continents.World_Sum.deaths\" WHERE $timeFilter GROUP BY time(1d)\n) WHERE $timeFilter GROUP BY time(1d) tz('Europe/Berlin')",
     "rawQuery": true,
     "refId": "C",
     "resultFormat": "time_series",
     "select": [
       [
         {
           "params": [
             "value"
           ],
           "type": "field"
         },
         {
           "params": [],
           "type": "mean"
         }
       ]
     ],
     "tags": []
   },
   {
     "alias": "Genesen",
     "groupBy": [
       {
         "params": [
           "$__interval"
         ],
         "type": "time"
       },
       {
         "params": [
           "null"
         ],
         "type": "fill"
       }
     ],
     "orderByTime": "ASC",
     "policy": "default",
     "query": "SELECT non_negative_difference(last(cumulative_sum))FROM (\nSELECT cumulative_sum(non_negative_difference(last(\"value\"))) FROM \"coronavirus-statistics.0.global_continents.World_Sum.recovered\" WHERE $timeFilter GROUP BY time(1d)\n) WHERE $timeFilter GROUP BY time(1d) tz('Europe/Berlin')",
     "rawQuery": true,
     "refId": "E",
     "resultFormat": "time_series",
     "select": [
       [
         {
           "params": [
             "value"
           ],
           "type": "field"
         },
         {
           "params": [],
           "type": "mean"
         }
       ]
     ],
     "tags": []
   }
 ],
 "thresholds": [],
 "timeFrom": "7d",
 "timeRegions": [],
 "timeShift": null,
 "title": "Tageswerte Global",
 "tooltip": {
   "shared": true,
   "sort": 0,
   "value_type": "individual"
 },
 "transparent": true,
 "type": "graph",
 "xaxis": {
   "buckets": null,
   "mode": "time",
   "name": null,
   "show": true,
   "values": []
 },
 "yaxes": [
   {
     "format": "short",
     "label": null,
     "logBase": 1,
     "max": null,
     "min": null,
     "show": true
   },
   {
     "format": "short",
     "label": null,
     "logBase": 1,
     "max": null,
     "min": null,
     "show": true
   }
 ],
 "yaxis": {
   "align": false,
   "alignLevel": null
 }
}

[Hicki]

@crunchip Ist das für ioBroker?

[crunchip]

@Hicki ist für´s Grafana Dashboard

[Hicki]

@crunchip Schade sieht gut aus

[crunchip]

@Hicki HIER siehst du es ganz, dafür ist aber Grafana und InfluxDB nötig

[Hicki]

@crunchip sagte in Test Coronavirus Statistics for ioBroker:

@Hicki HIER siehst du es ganz, dafür ist aber Grafana und InfluxDB nötig

ist der Hammer - große Klasse
Ist es sehr Umfangreich beides zu installieren?

[Knallochse]

@Hicki hatten wir gestern schonmal. Bitte neues Thema erstellen, wenn dein Anliegen nicht direkt mit dem Adapter zu tun hat

[Hicki]

@Knallochse Entschuldigung

[Dutchman]

@sissiwup sagte in Test Coronavirus Statistics for ioBroker:

Warum sind die Deutsch? Und warum ist germany nicht Deutschland?
Die Parameter wurden nicht übernommen, d.h. z.B. alle Kreise waren bei mir ausgewählt, das ist wieder weg.
Änderungen in der Struktur sind natürlich tödlich für Historien etc.

@sissiwup sagte in Test Coronavirus Statistics for ioBroker:

jetzt kommen Werte, dafür sind alle Historie-Einstellungen weg. Scheinbar sind die Werte neu angelegt worden.

wie auch im changelog erwähnt haben sich leider die datenpunkte während der Beta fase geändert, das diese jetzt iso conform sind werde diese sich nach offizieller PROD version nicht mehr ändern.

Sorry, eine der Nachteile von beta test aber so sind die Datenstrukturen deutlicher.

[S0NIC]

@Chaot Propaganda

[harrym]

@S0NIC "der chinesische virus" .... Propaganda ala Trump?

sry .... de Daten werden nur geliefert .... und nicht von uns erhoben.

[Chaot]

@S0NIC Habe ich heute auch gelesen. Stand denke ich im Spiegel. Die Chinesen zählen Fälle bei denen der Virus nachgewiesen ist, aber keine Symptome vorhanden sind nicht in die Statistik :-1:

[Dutchman]

@Chaot sagte in Test Coronavirus Statistics for ioBroker:

Die Chinesen zählen Fälle bei denen der Virus nachgewiesen ist, aber keine Symptome vorhanden sind nicht in die Statistik

Lol.... Achja ist alles was

So Leute 0.4.9 reif für stable ?

[Knallochse]

@Dutchman

So Leute 0.4.9 reif für stable ?

Ich konnte keine Fehler durch den Adapter ausmachen, und für die Zahlen die ausgegeben werden bist du nicht verantwortlich 😁

[sigi234]

@Dutchman sagte in Test Coronavirus Statistics for ioBroker:

So Leute 0.4.9 reif für stable ?

Jupp

[dQeLse]

Konnte ebenso keinen Fehler feststellen!

[SaiBot1981]

Ja, alles super

[Dutchman]

danke dan mache ich das Paket mal fertig :)

[Headhunter70]

Morning, habe jetzt Datenpunkte für UK und United Kingdom, gleiches für USA und United States, gibt es da einen Trick die jetzt zu mergen, Alias Id im nachhinein ? Wie muss man da vorgehen ?

[Dutchman]

@Headhunter70 sagte in Test Coronavirus Statistics for ioBroker:

Morning, habe jetzt Datenpunkte für UK und United Kingdom, gleiches für USA und United States, gibt es da einen Trick die jetzt zu mergen, Alias Id im nachhinein ? Wie muss man da vorgehen ?

morgen ? nein .... wen es um datenloggend geht : alten deaktivieren, neuen aktivieren und alias vom alten eintragen.