Table

'Table' is a chart type that can be used to visualise data in the Data Studio. Read more about this chart type below.

A Table is a very easy Chart Type to use as you can always expect it to behave accordingly. You can also use any Measures and any Dimensions without limitations to how many you want to use.

How to use it

We have no specific guidelines or recommendations on how many Measures or Dimensions can/should be used for Table Charts.

Examples

Example 1:

Table with 1 Measure and 1 Dimension
Table with 1 Measure and 1 Dimension
In the above example we have a simple table with 1 Measure, [Actives], and 1 Dimension, [Casino Vendor Name].
What we have in the table is actives (= players that made a casino bet) split up in groups per vendor.
Looking at the first row, we can see that 36,848 players, all-time, have made a bet on a game that belongs to Netent.
Due to the ordering, which is set on 'Actives DESC', we can also see that Netent has had the most actives betting on their games. The second most popular casino vendor, in this example, is Play'n Go.

Example 2:

Table with 1 Measure and 2 Dimensions
Table with 1 Measure and 2 Dimensions
We're adding to the previous example.
We can now have a slightly more elaborate table with 1 Measure, [Actives], and 2 Dimensions, [Casino Vendor Name] and [Casino Game Name].
What we have in the table is actives (= players that made a casino bet) split up in groups per casino game.
Looking at the first row, we can see that 21,576 players, all-time, have made a bet on the game 'Book of Dead'. On that same row, we can also see that this game belongs to the vendor Play'n GO.
Due to the ordering, we can also see that the game 'Book of Dead' has had the most actives betting on it. The runner-up is 'Danger! High Voltage' belonging to the vendor NYX Gaming.

Example 3:

Table with 3 Measures and 3 Dimensions
Table with 3 Measures and 3 Dimensions
We're continuing to add to previous examples.
Now we have a pretty elaborate table with 3 Measures, [Actives], [Total Bets] and [Gross Gaming Revenue], and 3 Dimensions, [Casino Vendor Name], [Casino Game Name] and a Time Dimension [Date] grouped by month.
The ordering is still set to 'Actives DESC', which gives us the following insights:
In August 2019 the game 'Book of Dead' (by Play'n GO) had 2,304 players (actives) betting on it. This was the highest number of actives playing on a single game, for a period of a month, all-time.
More information that we can collect from the first row, is that during that month 'Book of Dead' had a total of €1,692,291.46 in total bet amount and a GGR of €14,742.70.
​🧠‍ Let's reflect on the above examples:
  1. The more Dimensions we add, the more we break down the data/numbers into smaller groups. In other words, we get more and more granular with the data/numbers.
  2. The more Dimensions we add, the more rows will also be added to cater to the new groupings.
  3. There will be multiple rows for each Dimension, for example, multiple rows including the same game name. However, there will only be one row for each unique combination of the Dimensions. As an example, there will only be one row/grouping with the following 3 Dimensions combined together: Aug 2019, Book of Dead and Play'n GO
In all of the above examples, we had the ordering based on the Measure 'Actives'. Depending on what data is of interest for you the ordering may need to be changed.
Apply ordering if needed
Apply ordering if needed
If you for example would have wanted to have the above table, showing the month and game with the highest GGR at the top, you should have the 'Actives' set to 'NONE' and 'Gross Gaming Revenue' set to 'DESC' instead.