An Analysis is a visual display of data from the following data sources within Tulip
App: Data is organized around App Completions from the past
Table: Data is current values in Table Rows
Machine: Data is past events from OPC tags that are stored in attributes
It is defined via:
This doc will review all the possible configuration fields for each chart template and data source combination.
Additionaly, Chart Layers allowing to create Insights are detailed at the end of this page.
Name | Description |
---|---|
Name | Name of the Analysis |
Sharing | Refresh Seconds The frequency that the visual display will refresh with new data. Minimum 5 seconds.Public Link An optional public link that will allow anyone to view data in the analysisDownload Image Download the current state of the analysis in a PNG image |
Apps (Apps data source only) | A list of apps that act as a data source for this analysis |
Table (table data source only) | The table data source for the analysis |
Machine (machine data source only) | The machines under a specific machine type that will be considered in the analysis |
Date Range | Apps data The date range for values that will be considered in this chart based on when the app completion with the data point occurredMachine data The date range for values that will be considered in this chart. The user can select one of two system generated fields as a reference:
The date range for the "Start Time" of machine activity entries that will be considered. |
Filters | Any exclusion or inclusion rules for data in this chart. |
Compare By | A category to split out the data into multiple series. |
The formatting options are configured in the formatting tab of the Visualization panel on the right side of the analytics editor. They are grouped into different sections whose availability is dependent on the chart type.
Applies to all charts.
Name | Description |
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Title |
Note: The title can be edited in the top left corner of the analytics editor by clicking on it. |
Subtitle |
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Applies only to charts with a X axis.
Name | Description |
---|---|
Label | Defines if and what axis label is shown. The options are:
|
Axis Scaling Only available when a datetime value is selected for the x axis | Defines what scale is used for the X axis. The options are:
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Show X Axis Tick Labels | Defines if axis tick labels for the X axis are shown. |
Tick Label Rotation | Defines the degree rotation of tick labels. Available options are 0°(default), 45° and 90°. |
Applies only to charts with a Y axis.
Name | Description |
---|---|
Label | Defines if and what axis label is shown. The options are:
|
Show Y Axis Tick Labels | Defines if axis tick labels for the Y axis are shown. |
Bounds | Allows to set fixed bounds for the maximum and minimum of the Y axis. |
Applies to all charts but single number, table and slideshow.
Name | Description |
---|---|
Show Legend | Legend is shown on the chart when toggled on. |
Customize Series | Allows to set the name and color for each series shown in the chart |
Applies only to the donut chart.
Name | Description |
---|---|
Show Labels | Defines if the data labels for the different donut segments are shown. |
Applies only to line and multiline charts.
Name | Description |
---|---|
Interpolation | Allows to select if the line interpolation is smooth or straight. The default setting for new analyses is straight |
This displays one variable or table field on the X axis and a numerical value on the Y axis.
Name | Description |
---|---|
X Axis | The data point whose values will determine the categorization of data on the graph |
Y Axis | The numerical data point that will be organized based on the X Axis values For datetime values: GROUP VALUE - Grouping of data by minute, hour, day, week, month, quarter or year. |
Display Options |
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This displays multiple numerical or boolean variables or table fields on the X axis and a numerical value on the Y axis.
Name | Description |
---|---|
X Axis | The variables (App analysis), Table fields (Table analysis) or machine fields (machine analysis) that will be shown for comparison on the X axis of the chart |
Y Axis | The numerical value values for each selected variable or field. |
Display Options |
|
This displays multiple numerical or boolean variables or table fields on the Y axis across the same X axis. Available for
Name | Description |
---|---|
X Axis | The value for the common X Axis |
Y Axis | The values to be compared across the common X Axis For datetime values: GROUP VALUE - Grouping of data by minute, hour, day, week, month, quarter or year. |
Display Options |
|
This shows individual app completions on the X axis and a numerical or boolean value on the Y Axis. Available only for App analyses.
Name | Description |
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Y Axis | The list of numerical variables or table fields to compare for each individual app completion |
Display Options |
|
This shows one numerical table field or variable on the x axis and a numerical value on the Y axis. Available only for App analyses.
Name | Description |
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X Axis | The variable to be shown on the X Axis. |
Y Axis | The variable to be shown on the Y Axis. |
Sorting | Allows to select a field and direction for sorting. |
Limit | Limit the number of data points shown on the graph. |
This shows a single value based on a variable, field or expression.
Name | Description |
---|---|
Number | The variable, field or expression to be shown. |
This shows images of a single image variable and additional variable values next to it. Available only for App analyses.
Name | Description |
---|---|
Image | The image variable shown in the slideshow. |
Columns | Additional app data that should be shown alongside the image in the slideshow. |
This shows a tabular overview of the selected data.
Name | Description |
---|---|
Groupings | The variables (App analysis), Table fields (Table analysis) or machine fields (machine analysis) used for grouping the source data. This drives which rows are shown in the table. |
Operations | Additional fields or aggregations whose value should be shown for each grouping. For datetime values: GROUP VALUE - Grouping of data by minute, hour, day, week, month, quarter or year. Note: If an operation does not include an aggregation (like average, count, ...), the result will show an individual row for each value of the operaiton. |
Sorting | Allows to select columns which the table should be sorted by. |
Limit | Limits the nubmer of data points shown on the graph. |
All analyses are limited to a maximum of 1000 visualized records. If the analysis configuration would return more than 1000 records, last 1000 records are shown. "Last" is defined by a descending order of the X Axis values.
Example: If the X Axis is configured to be a datetime field, the most recent 1000 records will be shown.
All analyses are limited to a maximum of 50 visualized series. If the analysis configuration would return more than 50 series, the first 50 are shown. If this is the case, a warning icon is shown on the chart to surface it to the user.
Layers can be added to certain chart types in Tulip to generate Insights. Insights are pieces of information that are extracted from or created using the data visualized in the analysis.
Layers can be configured in the Layers tab of the Visualization panel on the right side of the analytics editor.
This layer can be added to analyses with the following configuration:
The Control Chart layer offers two different limit settings with different configuration options.
Allows to manually define an upper and lower control limit and a center line to use single outlier and prominent shift rules.
Option | Description |
---|---|
Upper Control Limit (UCL) and Lower Control Limit (LCL) - mandatory | Number input defining the upper and lower control limit used for evaluating the control chart rules. The UCL must be larger than the LCL. |
Center Line | Configuration of the center line used for evaluating the control chart rules. If "Middle Center Line" is selected, the average of the UCL and LCL will be used. If "Custom Center Line" is selected, the user can specify any value between the UCL and LCL. |
Rule Selection - at least one must be selected | Configuration of the rules to be evaluated by the Control Chart Layer to generate insights. See rule description below. |
Automatically identifies appropriate boundaries for single outlier detection based on the currently visible data and an acceptance range (6 sigma equivalent). Upon initially selecting this option, the limits are automatically calculated.
Option | Description |
---|---|
Calculate Limits (button) | Recalculates the limits based on the currently visible data. Below the settings, the time since the last calculation and related timestamp are shown. |
Rule Selection - not changeable | For the calculated limits, only the Single Outlier rule can be selected. |
The following rules are available:
Rule Name / Insight | Logic | Visualization |
---|---|---|
Single Outlier | Any single data point above the Upper Control Limit (UCL) or below the Lower Control Limit (LCL). | Outliers are visualized with a red outline in the chart. |
Prominent Shift | 9 or more consecutive data points either entirely above or entirely below the center line. | Prominent Shifts are visualized by a red background highlight in the chart. |
Alerting can be used with the Control Chart layer and will alert when new single outliers or prominent shifts are detected.
The Forecast layer in Tulip’s Analytics Builder provides out-of-the-box forecasting for time-series data. The layer uses machine learning to evaluate the existing data in you analysis to predict and visualize a likely future development of that data as a 95% confidence interval.
This layer can be added to analyses with the following configuration:
Once a chart configuration is fulfilling these requirements, the Forecast Layer will be available in the Chart Layers panel. This can be opened by clicking on the Chart Layers button in the top right corner of the analytics editor.
The following configuration options are available:
Option | Description |
---|---|
Forecast Strategy | There are three forecast strategies available. Selecting the right one for your use case can improve your forecast quality. |
Prediction Period | The number of days to be shown as a forecast. |
Show estimated trend | Toggles showing a line depicting the trend that is estimated by the forecasting model. |
Evaluate Forecast | Triggers a quality evaluation for the forecast, which shows:
|
The Trend Line layer adds a linear trend line to charts in Tulip Analyitcs. It can be added to anlayses with the following configuration:
Once a chart configuration is fulfilling these requirements, the Trend Line Layer will be available in the Chart Layers panel. This can be opened by clicking on the Chart Layers button in the top right corner of the analytics editor.
The following configuration options are available:
Option | Description |
---|---|
Type | Allows to change between a linear and moving average trend line. The default is linear. |
Period | The period option becomes available when the moving average type is selected. It defines how many data points should be considered for the moving average caluclation. This value has to be between 2 and 50. |
The reference line layer adds a horizontal line to charts in Tulip Analytics. It can be added to analyses with the following configuration:
Once a chart configuration is fulfilling these requirements, the Trendline Layer will be available in the Chart Layers panel. This can be opened by clicking on the Chart Layers button in the top right corner of the analytics editor.
The following configuration options are available:
Option | Description |
---|---|
Value | The y-axis value at which the line will be shown |
Highlight Data | Defines if data elements (bars, line points or dots) in the chart which relate to the reference line values in a specific way should be highlighted. The options are: |
Color | Defines the color of the highlighting |
Label | Defines if a label should be shown on the reference line. If "Custom" is selected, an additional input field appears, allowing to specify the label. |
Alerting can be used with the Reference Line layer and will alert when new data elements become highlighted.
Alerting is available for the Control Chart layer and the Reference Line layer.
When alerting is turned on, Tulip will automatically check for new insights in the background every hour and send an email the the users specified in the "Recipients" list in the Alerts panel.
For the Control Chart, insights are outliers or prominent shifts. For the Reference Line, insights are highlighted data elements.
The email contains:
ID | Name |
---|---|
QA-T101 | Analytics - Table Analytics |
QA-T134 | Record Placeholders : 08 - Delete Record Placeholder |
QA-T208 | Analytics - Analytics Widget |
QA-T259 | Analytics - Machine Analytics |
QA-T280 | Analytics - Analytics Widget Filtering |
QA-T281 | Analytics - Analytics Widget Filtering (Machine-based) |
QA-T353 | Analytics Template - Single Number |
QA-T354 | Analytics Template - One Operation |
QA-T355 | Analytics Template - Compare Variables |
QA-T356 | Analytics Template - Multiple Axes |
QA-T357 | Analytics Template - Table |
QA-T358 | Analytics Template - Slideshow |
QA-T359 | Analytics - Analytics Sharing |
QA-T360 | Analytics - Analytics Copying |
QA-T361 | Analytics - Analytics Refresh Rates |
QA-T473 | Schedules and Shifts : 03 - Applying shifts in analytics |
QA-T717 | Analytics - Table analytics CSV export |
QA-T803 | Advanced Analytics : 01 - Control Chart Layer |
QA-T819 | Advanced Analytics : 06 / Format Chart for Different Templates |
QA-T820 | Advanced Analytics : 01 / Control Chart Layer |
QA-T826 | Advanced Analytics : 07 / Red Tabs |
QA-T927 | Table Analytics - Filtering by 'Date Range' settings |
QA-T974 | Analytics Template - Table |
QA-T985 | Advanced Analytics : 02 - Forecast |
QA-T987 | Advanced Analytics : 02 / Forecast |
QA-T988 | Advanced Analytics : 03 - Trend Line |
QA-T989 | Advanced Analytics : 03 / Trend Line |
QA-T1116 | Advanced Analytics : 04 / Trend Line - Moving Average |
QA-T1117 | Advanced Analytics : 04 - Trend Line - Moving Average |
QA-T1177 | Advanced Analytics : 05 - Reference Line |
QA-T1211 | Analytics - Analytics Widget Font customization |