.Stat Suite documentation

.Stat DE analytics

Table of Content


Tracking ID

You can enable Google Analytics to receive hits on audience and usages of a .Stat Data Explorer instance.
In order to activate the analytics functionality, you need to create your own Google Analytics Tracking ID and use the value in env variable named GA_TOKEN in the scope of compliant service (ie data-explorer).
You can add the env variable in your .env file and start data-explorer service.
If you are using Docker-Compose, you have to declare the env variable at the service level in the compose file (see example)

To make sure that the tracking ID is well configured, the F12 console of your DE homepage instance should return the following:

DE Analytics Console


Google Analytics default events

By default, .Stat Data Explorer sends information to Google Analytics for a defined list of Events allowing to monitor the following list of audiences and behaviours:

  • Number of DE sessions per period
  • Number of DE users per period
  • Number of DE sessions per dataflow per period
  • Number of DE users per dataflow per period
  • Number of DE downloads (separately by unfiltered csv, filtered csv, filtered excel, .png) per period
  • Number of DE downloads (separately by unfiltered csv, filtered csv, filtered excel, .png) per dataflow per period
  • Number of DE shared tables/charts per period
  • Number of DE shared tables/charts per dataflow per period
  • Number of VIEWER views of shared tables/charts per period
  • Number of VIEWER views of shared tables/charts per dataflow per period
  • Number of VIEWER users per period

Note that in Google Analytics:

  • a session is a group of user interactions with your website that take place within a given period. A single session can thus contain several page views and events.
  • a user is a unique identified user who can initiate a single or several sessions within a given period. A user is counted once he has launched at least one session during a given time range. By extend, users can then be monitored as new users or returning users.

Events API

Event label:

  • DATAFLOW = name of the dataflow + sourceId/id/agenceId/version > corresponds to the triggering of the visualisation of a dataflow in any type of representation within the Data Explorer website.
  • DOWNLOAD = name of the dataflow + sourceId/id/agenceId/version > corresponds to the triggering of downloading data from a dataflow in any available format within the Data Explorer website (from a search result page or a visualisation page).
  • SHARE = name of the dataflow + sourceId/id/agenceId/version > corresponds to the triggering of sharing a dataflow in any type of representation.
  • SHARE_VIEW = name of the dataflow + chartId > corresponds to viewing a shared representation of a dataflow.

List of Events set up and applied to a Data Explorer instance:

"Event Category":
  DATAFLOW
  DOWNLOAD
  SHARE
  SHARE_VIEW  
"Event Action":
  DATAFLOW
    VIEWED_DATAFLOW
  DOWNLOAD
    EXCEL
    PNG
    CSV
    CSV_FULL
  SHARE
    SHARED_TABLE
    SHARED_BARCHART
    SHARED_ROWCHART
    SHARED_SCATTERCHART
    SHARED_HORIZONTALSYMBOLCHART
    SHARED_VERTICALSYMBOLCHART
    SHARED_TIMELINECHART
    SHARED_STACKEDBARCHART
    SHARED_CHOROPLETHCHART
  SHARE_VIEW
    VIEWED_SHARED_TABLE
    VIEWED_SHARED_BARCHART
    VIEWED_SHARED_ROWCHART
    VIEWED_SHARED_SCATTERCHART
    VIEWED_SHARED_HORIZONTALSYMBOLCHART
    VIEWED_SHARED_VERTICALSYMBOLCHART
    VIEWED_SHARED_TIMELINECHART
    VIEWED_SHARED_STACKEDBARCHART
    VIEWED_SHARED_CHOROPLETHCHART

Default overviews for audiences and behaviours

Once your tracking ID is set up to a deployed instance of .Stat Data Explorer, you should be able to view all event actions, categories and labels (dataflows) under Reports > Behaviour > Events > Overview.

DE Analytics Overview

Event Category lists the number of actions performed over a given period: dataflow visualisations, downloads, shared objects and views of shared objects.
Event action lists the number of distinct actions performed by category of event over a given period: views of dataflows, downlaods by type, shares by type (table or chart).
Event label lists the number of data visualisation by dataflow name over a given period. In order to establish the uniqueness of a dataflow, it is identified by localised name sourceID/ID/Agency/Version, e.g. National Accounts (UoM) staging:SIS-CC-stable/DF_UOM/OECD/3.0.


How to create a custom dashboard

It is possible to pull all tracked events and audiences together into a single periodic dashboard. Here below is a set of examples for setting up metrics into custom dashboards, the only limitation in this example being that you can only create 12 widgets per dashboard.
Go to Customisation > Dashboards and click on Create.

DE Analytics Dashboard

Once your dashboard is named and created, you can add up to 12 widgets and customise the general layout of the dashboard.

+Add Widget

DE Analytics Widget

Number of DE sessions per period

  • Standard: “METRIC”
  • Show the following metric:
    • add a metric: “Number of Sessions per User”

Number of DE users per period

  • Standard: “METRIC”
  • Show the following metric:
    • add a metric: “Users”

Number of DE sessions per dataflow per period

  • Standard: “TABLE”
  • Show the following metric:
    • add a Dimension: “Event Label”
    • add metric: “Sessions”
  • Filter this data:
    • only show | Event Category | containing | “DATAFLOW”

Number of DE users per dataflow per period

  • Standard: “TABLE”
  • Show the following metric:
    • add a Dimension: “Event Label”
    • add metric: “Users”
  • Filter this data:
    • only show | Event Category | containing | “DATAFLOW”

Number of DE downloads (separately by unfiltered csv, filtered csv, filtered excel, .png) per period

  • Standard: “TABLE”
  • Show the following metric:
    • add a Dimension: “Event Action”
    • add metric: “Total Events”
  • Filter this data:
    • only show | Event Category | containing | “DOWNLOAD”

Number of DE downloads (separately by unfiltered csv, filtered csv, filtered excel, .png) per dataflow per period
Filtered excel

  • Standard: “TABLE”
  • Show the following metric:
    • add a Dimension: “Event Label”
    • add metric: “Total Events”
  • Filter this data:
    • only show | Event Category | containing | “DOWNLOAD”
    • only show | Event Action | containing | “EXCEL”

Filtered png

  • Standard: “TABLE”
  • Show the following metric:
    • add a Dimension: “Event Label”
    • add metric: “Total Events”
  • Filter this data:
    • only show | Event Category | containing | “DOWNLOAD”
    • only show | Event Action | containing | “PNG”

Filtered csv

  • Standard: “TABLE”
  • Show the following metric:
    • add a Dimension: “Event Label”
    • add metric: “Total Events”
  • Filter this data:
    • only show | Event Category | containing | “DOWNLOAD”
    • only show | Event Action | Exactly matching | “CSV”

Unfiltered csv

  • Standard: “TABLE”
  • Show the following metric:
    • add a Dimension: “Event Label”
    • add metric: “Total Events”
  • Filter this data:
    • only show | Event Category | containing | “DOWNLOAD”
    • only show | Event Action | containing | “CSV_FULL”

Number of DE shared tables/charts per period

  • Standard: “TABLE”
  • Show the following metric:
    • add a Dimension: “Event Action”
    • add metric: “Total Events”
  • Filter this data:
    • only show | Event Category | Exactly matching | “SHARE”

Number of DE shared tables/charts per dataflow per period

  • Standard: “TABLE”
  • Show the following metric:
    • add a Dimension: “Event Label”
    • add metric: “Total Events”
  • Filter this data:
    • only show | Event Category | Exactly matching | “SHARE”

Number of VIEWER views of shared tables/charts per period

  • Standard: “METRIC”
  • Show the following metric:
    • add a metric: “Total Events”
  • Filter this data:
    • only show | Event Category | containing | “SHARE_VIEW”

Number of VIEWER views of shared tables/charts per dataflow per period

  • Standard: “TABLE”
  • Show the following metric:
    • add a Dimension: “Event Label”
    • add metric: “Total Events”
  • Filter this data:
    • only show | Event Category | containing | “SHARE_VIEW”

Number of VIEWER users per period

  • Standard: “METRIC”
  • Show the following metric:
    • add a metric: “Users”
  • Filter this data:
    • only show | Event Category | containing | “SHARE_VIEW”

Example of a set of widgets

DE Analytics Dashboard example