Data Tiles

On the dashboard, hover where you'd like to place a visualization, and click the + that appears. Click on the Data icon, the tile editor will appear.

The tile editor allows you to configure the data from your data sources and display it in any way you wish. Steps may vary depending on which data stream you select. You can add a title and description for your tile at the top of tile editor.

Data stream

The first step is to select which data stream you want to use. You will see a list of all available data streams for your indexed data sources. If you need to index a new data source, select the + icon next to Data Source filter.

You can search for data streams at the top, or filter data streams by Data Source, Data Stream Type or Object Scope.

For each data stream in the list of available data streams you will see:

• Name of the data stream

• Data source

• Data stream type (Scoped or Global)

• Object scope

• Whether the data stream is configurable – configurable data streams are represented by a cog icon. User-configured data streams are represented by a user icon.

Select the data stream that you want to use and then click Next.

Help with configuring data streams specific to your data source can be found in each specific data source article:

List of documentation for data source plugins available

Objects

The Objects tab of the tile editor allows you to scope the data stream to show particular objects. This will only need to be completed if you selected a Scoped data stream in the previous step. A selection of objects is also called a scope.

Your scope can be saved for use in other tiles in this workspace using the Save as button. Saved scopes will appear, and can be edited, from Scopes on the left-hand menu.

You will see a list of all available objects for the selected data stream.

You can search for objects at the top, or filter objects by Data Source or Type. To narrow results down further, additional filters can be used by selecting Add Filter.

For each object in the list of available objects you will see:

• Name of the object

• Data source

• Type

There are two types of scopes:

• Fixed scopes contain specific objects that you have manually picked. The objects in a fixed scope never change, except when you manually edit the scope.

• Dynamic scopes contain objects that match criteria defined by you. When objects that match those criteria get added to or removed from SquaredUp the number of objects in the scope can change. Tiles that use a dynamic scope will check which objects match the criteria every time they refresh.

When you are editing a tile, a panel shows the objects selected (as they may be spread across several pages of selectable objects). If you close this panel you can reopen it by clicking the x objects selected message by the Next button.

Once you have finished selecting objects, click Next.

Query

The Query tab of the tile editor will only need to be completed if you selected a Configurable data stream. Complete each field to configure the data stream how you wish.

Query fields will vary depending on which configurable data stream you selected.

Click Next.

Timeframe

Select a timeframe for the tile. By default, the timeframe is set to the dashboard timeframe.

Shaping

Filtering

Data can be filtered according to whether data in a column meets or does not meet specified text or numerical value conditions. Depending on the data you are filtering, available options include: Equals, Not equals, Contains, Doesn't contain, Less than, Greater than, Before now, After now, Is empty, Is not empty.

Dates can be filtered by Before now or After now (e.g. to show overdue orders). Text matching is case sensitive.

You are able to add multiple filter conditions. Available options are:

• AND – all conditions must be satisfied (e.g. Status-Equals-ClosedAND Type-Equals-Question).

• OR – any condition can be satisfied (e.g. Status-Equals-PendingOR Status-Equals-Closed).

Grouping

You can group and aggregate data by column.

For example, for AWS cost data you might Group bylabel, choose Aggregation typeTotal with Aggregation columnAmount, to show a table or bar chart of cost per label.

Which columns are available depends on the data stream you chose.

Configuring grouping will enable different visualizations to be displayed, such as bar chart and donut. For example, grouping tickets by channel will allow you to show a donut of how many tickets were logged by email vs web form.

Bucket by

If you group by a time column, and further grouping is possible, then the Bucket by dropdown will appear, which allows you to control how the time data is grouped, for example by hour, day, month etc.

Aggregation type and column

Using this dropdown you can choose how to summarize your data, for example as a count, average or total.

For example, for a Bar Chart of ticket data you might Group by Date created, choose Bucket byDay with Aggregation type Count, to show a line graph of tickets per day. Or for a Bar Chart of Azure Resource Group cost you might Group byTimestamp, Bucket byDay, Aggregation typeTotal and Aggregate columnCost.

Sorting

Data can be sorted by column in ascending or descending order. This sets the default sort order, but users can click on a column heading to sort data in a table on the fly.

Ticking Top and typing a number will show the top n rows of data.

Visualization

Select the visualization for your tile. Which visualizations are offered to you depends on the data available, for example Line Graph will only be offered if there is time series data.

Table settings

Configuration:

Rename	Click on the column name in the Configuration panel and type to rename it.
Sort order	Click and drag a column name to change their order.
Hide/show	Click on the Toggle visibility eye button to hide or show a column.
Row Link	Hyperlinks each row in the table to the URL in the selected column.
Resizing columns	On the table preview hover between column names and use the handle to change the width. Changes will be saved while in the tile editor or in dashboard edit mode.
Swap rows and columns	Transpose the table to show the headings as the left-hand column. Particularly useful for single row tables.

Filtering, grouping and sorting of the data can be configured in the Shaping section.

Reset - reverts to the default settings.

Scalar settings

Data Mapping:

Value

Choose the column to be used. The default is auto, where the column is chosen by the visualization.

Configuration:

Label	Enter a label, for example Tickets or ms.
Show formatted value	This shows a simplified value. Toggle to Off to show the raw value. (On by default).

Show formatted value:

Toggle whether the scalar shows the formatted string with units, or the raw value. By default this is set to on.

Manual size:

Toggle whether to manually size the visualization. When enabled, use the slider to select a size. By default this is set to off.

Reset - reverts to the default settings.

Line Graph settings

Data Mapping:

X-axis	Choose which data to show on the x-axis. Auto <column> shows the column which was selected automatically for you, usually a time field for the x-axis.
Y-axis	Choose which data to show on the y-axis. Auto <column> shows the column which was selected automatically for you, usually a numerical field for the y-axis.
Series	Choose how the stack is split into segments, usually a label or a string.
Unit	Select the column that you want to use for the unit label.

Configuration:

Y-axis range	Auto - graph is fitted to the data automatically Percentage - shows 0-100 Fit to data from zero - shows from 0 to the data maximum Custom - allows you to specify the min and max
Data points	This shows where the data points are on the line. Useful to identify missing points, or detail for changing data.
Shading	Adds shading below each line.
Grid lines	Adds a horizontal line to each y-axis increment, spanning the x-axis.
Show as cumulative	Displays the line graph as cumulative. For example, when showing a cumulative cost over time, based on daily data points.
Show trend line	Adds a line indicating the tendency of the data points, calculated using linear regression.
X-axis label	Allows you to override the default and enter a label, for example Date or Time.
Y-axis label	Allows you to override the default and enter a label, for example Tickets or ms.

Bar Chart settings

Data Mapping:

X-axis	Choose which data to show on the x-axis. Auto <column> shows the column which was selected automatically for you, usually a time field for the x-axis.
Y-axis	Choose which data to show on the y-axis. Auto <column> shows the column which was selected automatically for you, usually a numerical field for the y-axis.
Series	Select the column used to split the x-axis values into series.

Configuration:

Show as groups	Toggle whether to display the Series as grouped bars. This option is only enabled when a Series is selected.
Mode	Percentage mode displays a series as a percentage of the overall bar, only available when a Series is selected.
Layout	Vertical or horizontal.
Y-axis range	Auto - graph is fitted to the data automatically Percentage - shows 0-100 Fit to data from zero - shows from 0 to the data maximum Custom - allows you to specify the min and max
X-axis label	Allows you to override the default and enter a label, for example Date or Time.
Y-axis label	Allows you to override the default and enter a label, for example Tickets or ms.
Grid lines	Select whether to include grid lines.
Annotation	Display an annotation showing the value for each series.

Blocks settings

Data Mapping:

State	Select the column that you want to use for the state color of each block. Available options will vary depending on the data stream that you have selected. By default, the State column is automatically selected.
Label	Choose the label for the block.
Sublabel	Choose the sublabel to be shown beneath the main block label.
Link	Select the column that you want to use for the link of each block. Available options will vary depending on the data stream that you have selected.

Configuration:

Columns	Set the number of columns the blocks are displayed in.
Manual height	Select this to be able to resize the blocks, larger or smaller.

Reset - reverts to the default settings.

Donut

Data Mapping:

Value	Choose the column to use for the value for each segment.
Label	Choose the label for each segment.

Gauge settings

The Gauge visualization shows a single value, often a percentage, in relation to minimum and maximum values. Monitoring can be added so the gauge color changes based on your configured parameters.

This short one minute video shows how to configure the gauge visualization:

Data Mapping:

Value

Choose which column or count to use as the value for the gauge. Auto <column> shows the column which was selected automatically for you.

Configuration:

Range	Specify the min and max of the gauge.
Label	Add a label to be shown beneath the gauge.
Monitoring	You can configure Monitoring (from the Monitoring tab) and then the colors configured for the conditions will show on the gauge. Check that the Data chosen in the Visualization (e.g. count) and the Value (and Column where applicable) that you are Monitoring (e.g. count) are as intended.

These steps describe the simple tile editor. Advanced users might like to try the SQL Analytics editor see SQL Analytics (Beta).

You can also configure Monitoring and KPIs in the tile configuration:

• Monitors

• KPIs