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Dashboard – Mehrere Arcade-IIf-Anweisungen, um Wertebereichen Kategorien zuzuweisen und Daten zu filtern

DoZ

Liebe Community,

Ich versuche, eine mehrfache IIf-Bedingung zu schreiben, bin mir aber nicht sicher, wie es richtig geht.

Ich habe eine einfache Tabelle mit IdCodes (Ganzzahlen), die den Teamnamen entsprechen. Jede „Team_id“ entspricht genau einem „Team Name“.

Da es viele davon gibt (etwa 60 Arten von Team_id), muss ich sie gruppieren, um das Ergebnis in einem Selector-Widget in meinem Dashboard zu verwenden.

Ich möchte dem Dashboard mitteilen, dass es die Daten anhand der Teamkategorie filtern soll (siehe Tabelle; die Spalte „Team_category“ gibt es jedoch nicht – genau das soll der Arcade-Ausdruck herausfinden).

Wenn Team_id größer oder gleich 1000 UND kleiner oder gleich 1999 ist = CAT 1, wenn Team_id aber größer oder gleich 2000 UND kleiner oder gleich 2999 ist = CAT 2 und so weiter … mindestens 9- oder 10-mal.

Der Ausdruck soll die vollständige ursprüngliche Tabelle sowie das neue Feld „Team_category“ zurückgeben, das ich in einem SELECTOR-Widget verwenden werde, um die Daten nach „Gruppierten Werten“ zu filtern..

Ich habe diese Antwort gefunden, aber sie entspricht nicht ganz dem, was ich brauche ….

https://community.esri.com/t5/arcgis-online-questions/arcade-expression-to-find-text-in-string-and/td-p/300824

Hat jemand einen Tipp? Vielen Dank euch allen!!!

😁🙏

Team_id	Teamname	Teamkategorie
1000	Team A	KAT 1
1001	Team B	KAT 1
1200	Team C	KAT 1
2000	Team D	KAT 2
2001	Team E	KAT 2
2100	Team F	KAT 2
3000	Team G	KAT
3001	Team H	KAT 3
3700	Team I	KAT 3
…	….	…
9000	Team XYZ	KAT 9

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Arcade

Accepted answers

jcarlson

So you're really just looking to add a new field that doesn't exist. The best way to do this, in my experience, is to use Distinct, but to have it return distinct values on the objectID. In this way, the resulting table is the same as your input table, plus any ad-hoc fields you include.

// get your featureset
var fs = FeatureSetByPortalItem(
  Portal('your portal url'),
  // portal item id
  "1234567890abcdef",
  0, // layer id
  ["*"], // fields to include
  false // include or exclude geometry
);

// convert field list to series of SQL expressions for Distinct function
var fields = Schema(fs)['fields']
var sqlfields = []

for (var f in fields) {
  Push(
    sqlfields,
    {name: fields[f]['name'], expression: fields[f]['name']}
  )
}

var teamcat_sql = `CASE
WHEN Team_id >= 1000 and Team_id < 2000 THEN 'CAT 1'
WHEN Team_id < 3000 THEN 'CAT 2'
WHEN Team_id < 4000 THEN 'CAT 3'
WHEN Team_id < 5000 THEN 'CAT 4'
WHEN Team_id < 6000 THEN 'CAT 5'
WHEN Team_id < 7000 THEN 'CAT 6'
WHEN Team_id < 8000 THEN 'CAT 7'
WHEN Team_id < 9000 THEN 'CAT 8'
WHEN Team_id < 10000 THEN 'CAT 9'
ELSE 'Other'
END`

return Distinct(
  fs,
  Splice(
    sqlfields,
    {name: 'Team_category', expression: teamcat_sql}
  )
)

Here's me testing it against a different layer, but showing the same concept. The "Team_category" field is based on the "ROW__ID" value.

jcarlson

In your example, you've got a return at line 50, so it's going to return the featureset before the Distinct ever happens.

To get those other fields in, we just need to add them to the Splice. They're simple enough that the SQL expression is very similar to what you already have.

return Distinct(
  fs,
  Splice(
    sqlfields,
    {name: 'Team_category', expression: teamcat_sql},
    {name: 'Holiday_new', expression: "Holiday_new / 60"},
    {name: 'Holiday_old', expresion: "Holiday_old / 60"},
    {name: 'Holiday_TOT', expression: "(Holiday_old + Holiday_new) / 60"}
  )
)

I should add: since we're using Distinct, you don't need to create the out_dict object or loop through your features.

All comments

kenbuja

You can use the GroupBy function with and SQL Case statement to do this

var fs = FeatureSetByPortalItem(
  Portal("your portal"),
  "your item",
  0,
  ["Team_id", "Teamn_name"],
  false
);

var sql =
  `CASE
    WHEN Team_id < 1000 THEN 'Cat 0'
    WHEN Team_id < 2000 THEN 'Cat 1'
    WHEN Team_id < 3000 THEN 'Cat 2'
    WHEN Team_id < 4000 THEN 'Cat 3'
    WHEN Team_id < 5000 THEN 'Cat 4'
    WHEN Team_id < 6000 THEN 'Cat 5'
    WHEN Team_id < 7000 THEN 'Cat 6'
    WHEN Team_id < 8000 THEN 'Cat 7'
    WHEN Team_id < 9000 THEN 'Cat 8'
    WHEN Team_id < 10000 THEN 'Cat 9'
  END`;

var TeamGroup = GroupBy(
  fs,
  ["Team_ID", "Teamn_name"],
  [
    { name: "TeamCategory", expression: sql, statistic: "MAX" }
  ]
);
return TeamGroup;

jcarlson

// get your featureset
var fs = FeatureSetByPortalItem(
  Portal('your portal url'),
  // portal item id
  "1234567890abcdef",
  0, // layer id
  ["*"], // fields to include
  false // include or exclude geometry
);

// convert field list to series of SQL expressions for Distinct function
var fields = Schema(fs)['fields']
var sqlfields = []

for (var f in fields) {
  Push(
    sqlfields,
    {name: fields[f]['name'], expression: fields[f]['name']}
  )
}

var teamcat_sql = `CASE
WHEN Team_id >= 1000 and Team_id < 2000 THEN 'CAT 1'
WHEN Team_id < 3000 THEN 'CAT 2'
WHEN Team_id < 4000 THEN 'CAT 3'
WHEN Team_id < 5000 THEN 'CAT 4'
WHEN Team_id < 6000 THEN 'CAT 5'
WHEN Team_id < 7000 THEN 'CAT 6'
WHEN Team_id < 8000 THEN 'CAT 7'
WHEN Team_id < 9000 THEN 'CAT 8'
WHEN Team_id < 10000 THEN 'CAT 9'
ELSE 'Other'
END`

return Distinct(
  fs,
  Splice(
    sqlfields,
    {name: 'Team_category', expression: teamcat_sql}
  )
)

Here's me testing it against a different layer, but showing the same concept. The "Team_category" field is based on the "ROW__ID" value.

DoZ

Dear @jcarlson

your solution worked very well, thanks it was exactly what I was looking for!

Thanks!!

DoZ

Thank you @KenBuja, your solution worked but didn't bring me the whole Table back. Anyway is a good solution I will keep it in mind for other uses 🙂

Thank you!!

DoZ

Sorry to bother you with one last question but how can I insert this DISTINCT function in an already existing expression?

My data source needs to have the Team_category value (which comes from the Distinct function) but also the sum of Holidays (new and old holiday) and the amount of total holiday (which is originally expressed in minutes and therefore needs to be divided by 60 to get the hours)

My Expression looks like this:

// get  featureset
var fs = FeatureSetByPortalItem(
  Portal('your portal url'),
  // portal item id
  "1234567890abcdef",
  0, // layer id
  ["*"], // fields to include
  false // include or exclude geometry
);

// Create empty feature array and feat object for output
var features = [];
var feat;
// Iterate fs

for (var feature in fs) {
        
    // Create feature with aggregated values
    feat = { 
        'attributes': { 
        'Team_id': feature['Team_id'],
        'Team': feature['Team'],
        'Name_Vorname': feature['Name_Vorname'],
	'Holiday_new': feature['Holiday_new']/60,
	'Holiday_old': feature['Holiday_old']/60,
	'Holiday_TOT': feature(['Holiday_old'] + ['Holiday_new'])/60
            }
    };
    
    // Push feature into array
    Push(features, feat);
};


// Create dict for output FeatureSet
var out_dict = { 
    'fields': [
        {'name': 'Team_id', 'type': 'esriFieldTypeInteger'},
        {'name': 'Team', 'type': 'esriFieldTypeString'},
        {'name': 'Name_Vorname', 'type': 'esriFieldTypeString'},
	{'name': 'Holiday_new', 'type': 'esriFieldTypeDouble'},
	{'name': 'Holiday_old', 'type': 'esriFieldTypeDouble'},
	{'name': 'Holiday_TOT', 'type': 'esriFieldTypeDouble'}, 
    ],
  'geometryType': '', 
  'features': features 
}; 

// Convert dictionary to feature set. 
//return FeatureSet(Text(out_dict));

var fields = Schema(fs)['fields']
var sqlfields = []

for (var f in fields) {
  Push(
    sqlfields,
    {name: fields[f]['name'], expression: fields[f]['name']}
  )
}

var teamcat_sql = `CASE
WHEN Team_id >= 1000 and Team_id < 2000 THEN 'CAT 1'
WHEN Team_id < 3000 THEN 'CAT 2'
WHEN Team_id < 4000 THEN 'CAT 3'
WHEN Team_id < 5000 THEN 'CAT 4'
WHEN Team_id < 6000 THEN 'CAT 5'
WHEN Team_id < 7000 THEN 'CAT 6'
WHEN Team_id < 8000 THEN 'CAT 7'
WHEN Team_id < 9000 THEN 'CAT 8'
WHEN Team_id < 10000 THEN 'CAT 9'
ELSE 'Other'
END`

return Distinct(
  fs,
  Splice(
    sqlfields,
    {name: 'Team_category', expression: teamcat_sql}
  )
)

I have tried to replace the word fs in var fields = Schema(fs)['fields'], with features or feat or out_dict thinking that would do it, but as usual I do not get very far..😑

Thank you soo much and kindest regards,

Dory

jcarlson

In your example, you've got a return at line 50, so it's going to return the featureset before the Distinct ever happens.

To get those other fields in, we just need to add them to the Splice. They're simple enough that the SQL expression is very similar to what you already have.

return Distinct(
  fs,
  Splice(
    sqlfields,
    {name: 'Team_category', expression: teamcat_sql},
    {name: 'Holiday_new', expression: "Holiday_new / 60"},
    {name: 'Holiday_old', expresion: "Holiday_old / 60"},
    {name: 'Holiday_TOT', expression: "(Holiday_old + Holiday_new) / 60"}
  )
)

I should add: since we're using Distinct, you don't need to create the out_dict object or loop through your features.

DoZ

Perfect! It worked amazingly! Thank you sooo much!

Best regards

Dory

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