QPR ProcessAnalyzer Chart

ChartView allows creation of versatile and visually appealing charts with flexible KPI definitions to answer specific business needs. ChartView allows to calculate KPI's from all process mining objects, such as cases, events, event types or flows. The data can be to be sliced into configurable dimensions and KPIs calculated for each dimension. It's also possible to disable slicing to show a simple list of all analyzed items.

Introduction

ChartView is available as the first item in the tool palette which can be seen when editing is started. In a basic form, the result of this analysis is a table with the following columns: (1) One column for each specified dimension, and (2) at least one column for each specified value. The result of this analysis is a table with one row for each unique dimension value combination.

The basic flow of using the ChartView is the following:

1. Choose objects to visualize, e.g. cases, events, event types or variations.
2. Choose how to slice (or dimension) the data into parts, e.g. by attributes (regions, products), by durations or by dates (months, quarters).
3. Choose measures/KPI's to be calculated for each dimension. Measure could be e.g. number of items, average duration, or cost.
4. Choose the best visualization for the data, such as column charts, donut charts or tables.

ChartView also has a fullscreen mode which expands one ChartView to the whole screen. The fullscreen is available in the icon on top right corner of each ChartView. The fullscreen can be disabled, by clicking the cross icon in the top right. When in the fullscreen, filtering can be done and on-screen settings are disabled.

Visualization Settings

• Visualization: Choose how data is visualized. There are variety of charts available, and also a table, a pivot chart, and a KPI card. It depends on the visualization, which mappings can be selected for measures and dimensions.
• Stacking: Can be used to build series on top of each other, which better visualizes the sum of the measures across different series.
• % Stacking: Shows the measures as percentages of the sum of the measures. The total is thus always 100%.
• Polar Chart: Shows the X-axis as a circular instead of a horizontal line. The polar chart works with many chart types, such as column, line and area charts.
• Show Data Labels: When checked, numerical measure values are shown next to the data point in charts.
• Group Rows Exceeding Maximum: When checked and when number of rows is limited by the Maximum Rows setting, the extra rows are aggregated into the last row.
• Title: Custom title for a chart or table can be defined. When this field is empty, an automatically generated title is used in charts (table only has a custom title). To hide the title, a space character can be defined.
• Subtitle: Custom subtitle for a chart can be defined. When this field is empty, an automatically generated subtitle is used showing the chart filter (if defined). To hide the subtitle, a space character can be defined.

Data Selection Settings

• Analyze: Choose the process mining objects to analyze, e.g. cases, events, variations, event types or flows. Analyzed items can also be limited by a certain criteria. For cases, it's recommended to use chart filter if a subset of cases is needed.
• Slice into Dimensions: When checked, data is sliced in to the defined dimensions, and the row count depends on how many unique dimension values there appear in the data. When dimensioning is in use, a single row represents one or several analyzed items. When unchecked, data is not sliced into different dimensions, but each analyzed item is as a separate row in the data. There are thus as many rows as there are analyzed items.
• Sorting: Data can be ordered based on measures or dimensions, and both ascending and descending ordering is available. Sorting can also be disabled if it doesn't have any use, as sorting may affect performance. Note that for charts having numerical or date X-axis, sorting doesn't have any visible effect, because position of data points in the chart (columns etc.) depend on measure/dimension data values instead of order of rows.
• Maximum Rows: Number of rows returned are limited to this maximum count. This setting is useful with sorting to show only the most relevant information. In addition, there may be a large number of rows in certain selections, so the maximum should always be limited.

Measures, Dimensions and Columns

When dimensioning is used (Slice into Dimensions setting checked), measures and dimensions can be chosen, and when dimensioning is not used, columns can be chosen.

When dimensioning is used, there can be zero to many dimensions defined. Available dimensions depend on which objects are selected for the analysis (in the Analyze' dropdown list). The calculation returns as many rows as there are unique combinations for each dimensions values. For example, if you dimension by two dimensions, the other containing 3 unique values, and the other 5 unique values, there can be maximum of 3x5=15 rows in the resulting data. Note that all combinations might not appear in the data and thus the number of rows might be less.

When the data is sliced into different dimensions, measures are calculated for each dimension. There can be zero to many measures defined.

When dimensioning is not used, one to many columns can be chosen. Columns are a simple properties or attributes of the listed objects. If showing data in a table, there is one row for each of the analyzed objects.

Each measure, dimension, and column contain the following buttons when hovering:

• Measure/dimension/column settings: Detailed settings for the measure/dimension/column. See the next chapter for the settings.
• Move down: Moves the measure/dimension/column down and moves the one previously below, one step up.
• Move up: Moves the measure/dimension/column up and moves the one previously above, one step down.
• Convert to custom expression: Converts the measure/dimension/column to a custom expression for advanced editing. When creating custom expressions, it's useful to start with a ready-made selection to get an expression to continue editing with.
• Add measure/dimension/column: Moves all measures/dimensions/columns one step down to make space for a new one.
• Delete measure/dimension/column: Deletes the measure/dimension/column and moves all others below one step up.

Measures, Dimensions and Columns Detailed Settings

• Custom label: By default, measures, dimensions and columns have automatically generated labels. Use the custom title to define your own label that replaces the automatic label.
• Visualization: Visualization for this measure. Overrides the default visualization defined in the General tab.
• Visualization color: Color for visualizing this measure, for example a column or line color.
• Rounding: Numeric values are rounded to the defined number of decimals.
• Measure unit: Measure unit that is visible after each measure, dimension or column value.
• Data type: Expected data type for the measure, dimension or column. The defined datatype must match with the actual datatype to work correctly. For example, numerical values can be presented as textual.
• Mapping in chart: When using chart visualizations, defines how this measure/dimension/column is mapped in the chart, for example, Y-axis, X-axis, series etc...
• Calculate measure for: Measure can be calculated for each dimension separately, which is the default option. It's also possible to ignore dimensioning for this measure and calculate the measure for the currently filtered data (i.e. the entice dataset that the calculation in the chart is based on). It's also possible also to ignore filters and calculate the measure value for the entire model data.
• Variable for other measures: When checked, the measure works as a variable for other measures. By default, the variables names are variable1, variable2, ... Custom label can be used to define a name for the variable.
• Date format: Date values are presented with this date format.
• Adjustment expression: Expression that is added to the end of the actual measure/dimension/column expression. The adjustment expression can be used for example to convert or map values.

Filtering Settings

In QPR ProcessAnalyzer, filters can be applied on two levels:

• for the entire dashboard: Dashboard filters are applied to all charts in the dashboard and they are visible in the main header.
• for a single chart only: Chart filters are applied only to the chart where the filters are defined for. Filters for a chart can be viewed and edited in the chart settings.

Chart filters and behavior for the chart filtering is defined in the Filter tab having the following settings:

• Chart Follows Dashboard Filters: When checked, the chart is filtered by the filters in the dashboard. When unchecked, the chart is not affected by filters in the dashboard, and thus the chart is based on data in the entire model.
• Create Filters from Chart: When checked, filters can be created based on selected items in the chart. When unchecked, no filters are created when clicking the chart.
• Update Filter During Selection: When checked, other charts are filtered during selecting items in this chart, enabling to preview filtering results in other charts before confirming the selection. When unchecked, a filter is created only when the selection is confirmed, improving smoothness of usage in large models.
• Chart Filter: Button to add filters that affect only this chart. There can be many filter rules defined. Filter rules can be edited by clicking them and removed from the recycle bin icon. The filters work in a way that only data that is matching to all the filter rules are shown.

Advanced Settings

• Visible Case Attributes: Only the defined case attributes are shown in settings where case attributes need to be selected from a list. This setting can be used to hide unnecessary case attributes to make lists shorter and easier to use. When no case attributes are defined, all case attributes are shown.
• Visible Event Attributes: Only the defined event attributes are shown in settings where event attributes need to be selected from a list. This setting can be used to hide unnecessary event attributes to make lists shorter and easier to use. When no event attributes are defined, all event attributes are shown.
• Visible Event Types: Only the defined event types are shown in settings where event types need to be selected from a list. This setting can be used to hide unnecessary event types to make lists shorter and easier to use. When no event types are defined, all event types are shown.
• Update Chart When Changing Settings: When checked, the chart is not updated automatically when changing chart settings, but when clicking the Apply button in the General tab. Disabling automatic updating improves performance in large models when changing several settings at the same time.
• Edit Custom Layout: Advanced settings for the chart and table can be accessed using the JSON format.
• Edit On-screen Settings: Measure, dimension, column and analyzed objects parameters can be defined as on-screen settings, i.e. the settings are always visible above the chart in the dashboard for quick access. The on-screen settings are defined as a JSON array, where each item is an object with following properties:
  • type: Either measure or dimension. If slicing into dimensions is disabled, columns correspond to dimensions.
  • index: Index of the measure, dimension or column starting from zero.
  • parameter: Name of the parameter.
  • label: Custom label for the setting.
  • newLine: Defines whether the setting is positioned to a new line for more spacing between settings.
  • maxWidth: Maximum width of the shown setting in pixels.
• Edit in Expression Designer: For testing and development purposes, clicking this button starts editing the current expression in the Expression Designer.

View Technical Information

In the Advanced tab, there is a dropdown list for showing different kind of technical information for advanced needs, such as expressions, queries and settings fed to the chart component.

• Show chart: This is the normal mode where the actual visualization is shown.
• Show expressions:
• Show query:
• Show chart filter JSON:
• Show dimensions/columns as calculated attributes:
• Show chart JSON settings:
• Show chart JSON settings (with data):
• Show chart settings (single line):
• Edit chart settings:

Copy Chart Settings from Another Chart

You can copy chart settings and use them in another chart as follows: Go to the Advanced tab and choose from the bottom dropdown list Edit chart settings. Select all JSON and copy it to a clipboard. Go to another chart and to the same chart settings textbox, where paste the settings and click Save.