I'm using Google Data Studio to track sales. I'm trying to utilizes the Geo Map to show the locations of "active" clients ( I have established a filter for active clients already).
I'm using City as the Dimension and Total sales as the metric. However, my Zoom Area option just show "Invalid Field" and doesn't let me change to anything else.
I have a Country Code, Region Code, City, State fields for location. I don't have a Zip Code location.
How do I changed by Zoom Area to Zoom in on the Country of a particular Country Code?
You have to change the data type of your fields to Geo data types respectively (like if you have a text field Country representing Country then change this to Geo data type Country) on your source.
Go to "Resource > Manage added data sources > Edit" and change the data type of the field.
Related
I'm trying to obtain data from Service Cloud Salesforce but when I select the table in SSMS, the data is all NULL, so probably I'm not specifying the right columns or table.
Salesforce Report Builder
Salesforce Source Editor (Visual Studio)
When I run the report in Salesforce I can see that the country and postal code data are filled in, but when I read the documentation, I don't find the main column "Country" neither "Mailing Zip/Postal Code".
For the Zip Code, in this example, since it's also filled in the data about Billing Postal Code, this one I could obtain in the extraction, but for the country I can't find a column named "country", only "BillingCountry" and "ShippingCountry", but these columns do not contain any information.
Documentation:
https://developer.salesforce.com/docs/atlas.en-us.234.0.object_reference.meta/object_reference/sforce_api_objects_account.htm
Can anyone help here? I need to add on the select in salesforce source editor (visual studio) the right column names to obtain the country and the zip code.
Thank you,
Your report mixes fields from Account and Contact joined together by Contact.AccountId = Account.Id. You could edit it and expand the left sidebar to see which field comes from which object.
Account has Billing and Shipping address (2 sets of fields with actual names becoming BillingCity, BillingStreet... And Contact has Mailing address and Other Address.
So that's 4 * 6 fields across 2 tables out of the box. Can be muddied up further if you have "Person Accounts" enabled (some contacts get paired up as 1:1 relation to account instead of 1:n, in something that behaves a bit like materialised view for MS SQL people?). Also admin could rename one of the fields (API Names of columns stay the same but you'd see different labels in report and UI), add custom address fields...
See how these queries work for you. Try them out in Salesforce Developer Console (in web UI), or VSCode first, not in that tool you have.
Pure contacts
SELECT Id, FirstName, LastName, MailingStreet, MailingCity, MailingPostalCode
FROM Contact
WHERE MailingPostalCode = '4465-613'
LIMIT 10
Pure accounts
SELECT Id, Name, BillingStreet, BillingCity, BillingPostalCode
FROM Contact
WHERE BillingPostalCode = '4465-613'
LIMIT 10
Now JOIN (for normal Salesforce, B2B, where Account is more like a company and Contact is more like employee)
SELECT Id, FirstName, LastName, MailingStreet, MailingCity, MailingPostalCode, Account.Name, Account.City
FROM Contact
WHERE MailingPostalCode = '4465-613' AND Account.BillingPostalCode = '4465-613'
LIMIT 10
And since your second screenshot looks like you do have person accounts (more like B2C model, with standalone "1 man companies" like freelancers, doctors working in multiple hospitals, students in education...) try this one too
SELECT Id, Name, BillingCity, BillingPostalCode, ShippingCity, ShippingPostalCode, PersonMailingCity, PersonMailingPostalCode, PersonOtherCity, PersonOtherPostalCode
FROM Account
WHERE IsPersonAccount = true
LIMIT 10
I have imported my GA4 data into Google Data Studio and am trying to see how many giftcards have been sold by their value.
The item revenue metric in GA4 is equal to the giftcard value (i.e. revenue = $200 therefore $200 giftcard was sold).
I want to breakdown sales by giftcard value like so:
Giftcard (revenue)
Count
$200
4
$250
3
$300
6
To do this, I need to set a copy of item revenue as a dimension rather than a metric.
In Google Data Studio, I can create a calculated field with the following formula that should convert the item revenue into text:
CAST(Item Revenue AS TEXT)
The problem I'm having is that while the formula sets the field type as text, it is still regarded by GDS as a metric and can't be used as a dimension.
Even when I try to add text, GDS still recognises the field as a number:
CONCAT(CAST(Item Revenue AS TEXT), " giftcard")
To use a metric as a dimension you can make a combination of data. When defining the graphic element (table, for example) and the respective data source, just create a data combination, but do not combine the data with any other source and just define the combination with the initial data itself. So you will have the same data structure only through a combined structure.
When making a combination of data, data studio recognizes all calculated fields (metrics) as dimensions. Thus, it is possible to make the conversion.
I want to create a map for showing the number of products selling in a particular district of India. in the backend, I have data like "West Delhi" name of the district and total count.I want to display the data in ant vision L7 district map. But not able to understand How they are consuming the data.
I am analysing app data which contains lat value and lon value of a user visited places. I was able to export the data to tableau and plot it on the map but I want to find the name of place for each pair of lat and lon.
One solution could be, if I get a table of three columns (Lat, Lon, Place) then I can join it with my user data table to find the name of a place at a given Lat and Lon.
My question is, do we have a ready made table with the above three columns which I can import in my SQL-Server? I am interested in places of UK or London. Is there any other approach to achieve it?
You can get this from the Ordinance Survey which should get you lat, long, postcode;
https://www.ordnancesurvey.co.uk/business-and-government/products/code-point-open.html
You'll then need another data source to map the postcode to location name (e.g. town, county etc). See the similar post below;
Where can I find a list of all UK _full_ postcodes including street name and their precise coordinates?
It might take a little fiddling about, and you're always going to have the issue with data being a little out of date but it should be good enough.
I wrote an API wrapper in R for postcodes.io, which is a free UK postcode database. Check the original documentation so that you could create an API wrapper in your language of choice. Wrappers in languages other than R are also available.
If you use R, then type you can get the place names in the following way:
if (!require("devtools")) install.packages("devtools")
devtools::install_github("erzk/PostcodesioR")
library(PostcodesioR)
rev_geo <- reverse_geocoding(0.127, 51.507)
It will return a list with extensive information about the latitude and longitude, e.g. wards, NUTS, administrative district, county, parish, consituency, CCG and many more.
There is also a bulk_reverse_geocoding() function which takes several lat and lon inputs.
I have Gmaps embedded in my site which pulls out a list of dealers from my database around the world and plots their location with a marker based on the dealer postcode in Gmaps. This works great however I need to extend this functionality to support dealers who do not have a postcode but rather, they are assigned to Countries.
So for example, Test Dealer could be assigned to Germany and Belgium so I need to somehow get a generic longitude and latitude value for the country names "Germany" and "Belgium" and then show a marker for those long/lat values.
Is this possible?
If so, where do I start?!
Thanks for reading.
kris
Try using google's geocoder. Just provide a generic address, in your case a country and it will return the center point of that country together with the coordinates(latitude and longitude)
Here's a link. https://developers.google.com/maps/documentation/javascript/geocoding