specs/models/M_ANALYSIS

Analysis

An Analysis is a visual display of data from the following data sources within Tulip

  • App (single or many)
  • Table (single)
  • Machine (single or many)

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:

  1. A “Chart Template” that determines the type of display - bar chart, table etc.
  2. A set of configuration fields and their current values. The available configuration fields depend on the Chart Template.

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.

Properties For All Chart Templates

NameDescription
NameName 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 analysis

Download 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 RangeApps data
The date range for values that will be considered in this chart based on when the app completion with the data point occurred

Machine 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:
  • Created At
  • Updated At

Machine data
The date range for the "Start Time" of machine activity entries that will be considered.
FiltersAny exclusion or inclusion rules for data in this chart.
Compare ByA category to split out the data into multiple series.

Formatting Options

The formatting options are configured in the formatting panel on the right side of the analytics editor. They are grouped into give sections and are available for all templates but Single Number, Table and Slideshow.

Legend

Applies to all charts.

NameDescription
Show LegendLegend is shown on the chart when toggled on.

X Axis

Applies only to charts with a X axis.

NameDescription
LabelDefines if and what axis label is shown. The options are:
  • Default: Shows the label define by the data selected for the X axis.
  • Custom: Allows to enter a custom label.
  • None: No label is shown.
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:
  • Time Scale: The X axis distance between any two data points are proportional to their time stamp difference.
  • Ordinal Scale: The X axis distance between neighboring points is always the same, independent of their time stamp difference.
Show X Axis Tick LabelsDefines if axis tick labels for the X axis are shown.
Tick Label RotationDefines the degree rotation of tick labels. Available options are 0°(default), 45° and 90°.

Y Axis

Applies only to charts with a Y axis.

NameDescription
LabelDefines if and what axis label is shown. The options are:
  • Custom: Allows to enter a custom label
  • None: No label is shown
Show Y Axis Tick LabelsDefines if axis tick labels for the Y axis are shown.
BoundsAllows to set fixed bounds for the maximum and minimum of the Y axis.

Line

Applies only to line and multiline charts.

NameDescription
InterpolationAllows to select if the line interpolation is smooth or straight.

Data Labels

Applies only to the donut chart.

NameDescription
Show LabelsDefines if the data labels for the different donut segments are shown.

One Operation

This displays one variable or table field on the X axis and a numerical value on the Y axis.

NameDescription
X AxisThe data point whose values will determine the categorization of data on the graph
Y AxisThe 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
  • Bar Chart
  • Donut Chart
  • Line Chart
  • Pareto Chart
  • Dot Plot
  • Histogram (App and Table analyses only)

Compare Variables

This displays multiple numerical or boolean variables or table fields on the X axis and a numerical value on the Y axis.

NameDescription
X AxisThe 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 AxisThe numerical value values for each selected variable or field.
Display Options
  • Stacked Bar Chart
  • Grouped Bar Chart
  • Multiseries Line Chart
  • Grouped Dot Plot
  • Overlaid Histogram (App and Table analyses only)t

Multiple Operations

This displays multiple numerical or boolean variables or table fields on the Y axis across the same X axis. Available for

NameDescription
X AxisThe value for the common X Axis
Y AxisThe values to be compared across the common X Axis
Display Options
  • Stacked Bar Chart
  • Grouped Bar Chart
  • Multiseries Line Chart
  • Grouped Dot Plot
  • Overlaid Histogram (App and Table analyses only)t

Results on X Axis

This shows individual app completions on the X axis and a numerical or boolean value on the Y Axis. Available only for App analyses.

NameDescription
Y AxisThe list of numerical variables or table fields to compare for each individual app completion
Display Options
  • Bar Chart
  • Donut Chart
  • Line Chart
  • Pareto Chart
  • Dot Plot
  • Histogram (App and Table analyses only)

Scatter Plot

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.

NameDescription
X AxisThe variable to be shown on the X Axis.
Y AxisThe variable to be shown on the Y Axis.
SortingAllows to select a field and direction for sorting.
LimitLimit the number of data points shown on the graph.

Single Number

This shows a single value based on a variable, field or expression.

NameDescription
NumberThe variable, field or expression to be shown.

Slideshow

This shows images of a single image variable and additional variable values next to it. Available only for App analyses.

NameDescription
ImageThe image variable shown in the slideshow.
ColumnsAdditional app data that should be shown alongside the image in the slideshow.

Table

This shows a tabular overview of the selected data.

NameDescription
GroupingsThe 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.
ColumnsAdditional columns whose aggregated value should be shown for each grouping.
SortingAllows to select columns which the table should be sorted by.
LimitLimits the nubmer of data points shown on the graph.

Record Limit

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.

Series Limit

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

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.

Control Chart Layer

This layer can be added to Tulip Table analyses with the following configuration:

  • Template: One Operation
  • Display type: Line Chart
  • X Axis: any
  • Y Axis: Numeric value (Number, Integer, Interval)

The Layer can be turned on in the "Chart Layers" side panel which can be accessed using the "Chart Layers" button in the top right corner of the analytics editor. It offers two different limit settings with different configuration options.

Static Limits

Allows to manually define an upper and lower control limit and a center line to use single outlier and prominent shift rules.

OptionDescription
Upper Control Limit (UCL) and Lower Control Limit (LCL) - mandatoryNumber input defining the upper and lower control limit used for evaluating the control chart rules. The UCL must be larger than the LCL.
Center LineConfiguration 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 selectedConfiguration of the rules to be evaluated by the Control Chart Layer to generate insights. See rule description below.

Calculated Limits

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.

OptionDescription
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 changeableFor the calculated limits, only the Single Outlier rule can be selected.

Rules

The following rules are available:

Rule Name / InsightLogicVisualization
Single OutlierAny 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 Shift9 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

When the control chart is active, alerting can be activated in the Alerts panel. This can be accessed using the "Alerts" button in the top right corner of the analytics editor.

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.

The email contains:

  • The name of the analysis
  • The timestamp of evaluation
  • The type and count of new insights
  • A link to the analysis

Forecast Layer

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 Tulip Table analyses with the following configuration:

  • Data Source: Tulip Table
  • Template: One Operation
  • View: Line Chart
  • x-Axis: Time-series, grouped by day
  • y-Axis: Numeric value (Number, Integer, Interval)

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:

OptionDescription
Forecast StrategyThere are three forecast strategies available. Selecting the right one for your use case can improve your forecast quality.
  • Unlimited: Use this strategy if the numeric data you are visualizing can theoretically attain any value.
  • Positive: Use this forecast strategy for numeric data that cannot be negative, such as part count or defect count.
  • Interval: Use this forecast strategy when the numeric value is constrained in a specific way, such as a measurement of minutes per hour, where data must be between 0 and 60.
  • Selecting the ‘Interval’ strategy prompts you to input the upper and lower limits before the forecast is displayed.
  • Prediction PeriodThe number of days to be shown as a forecast.
    Show estimated trendToggles showing a line depicting the trend that is estimated by the forecasting model.
    Evaluate ForecastTriggers a quality evaluation for the forecast, which shows:

    • Mean Absolute Error
    • Median Percentage Error

    To execute the evaluation the number of data points must be more than 2 weeks and greater than five times the prediction period.

    Trendline Layer

    The trendline layer adds a linear trend line to charts in Tulip Analyitcs. It can be added to Tulip Table analyses with the following configuration:

    • Data Source: Tulip Table
    • Template: One Operation
    • View: Line Chart, Bar Chart, Dot Plot
    • x-Axis: Any
    • y-Axis: Numeric value (Number, Integer, Interval)

    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.

    There are no additional settings avaialbe for the trend line layer.

    Tests

    IDName
    QA-T101Analytics - Table Analytics
    QA-T134Record Placeholders : 08 - Delete Record Placeholder
    QA-T208Analytics - Analytics Widget
    QA-T259Analytics - Machine Analytics
    QA-T280Analytics - Analytics Widget Filtering
    QA-T281Analytics - Analytics Widget Filtering (Machine-based)
    QA-T353Analytics Template - Single Number
    QA-T354Analytics Template - One Operation
    QA-T355Analytics Template - Compare Variables
    QA-T356Analytics Template - Multiple Axes
    QA-T357Analytics Template - Table
    QA-T358Analytics Template - Slideshow
    QA-T359Analytics - Analytics Sharing
    QA-T360Analytics - Analytics Copying
    QA-T361Analytics - Analytics Refresh Rates
    QA-T473Schedules and Shifts : 03 - Applying shifts in analytics
    QA-T927Table Analytics - Filtering by 'Date Range' settings
    QA-T962Analytics - Analytics Widget (cloned)
    QA-T963Analytics - Analytics Widget Filtering (Machine-based) (cloned)
    QA-T964Analytics Template - Single Number (cloned)
    QA-T965Analytics Template - One Operation (cloned)
    QA-T966Analytics Template - Compare Variables (cloned)
    QA-T967Analytics Template - Multiple Axes (cloned)
    QA-T968Analytics Template - Slideshow (cloned)
    QA-T969Analytics - Analytics Copying (cloned)
    QA-T970Analytics - Analytics Refresh Rates (cloned)
    QA-T971Analytics - Analytics Widget Filtering (cloned)
    QA-T972Analytics - Analytics Sharing (cloned)
    QA-T974Analytics Template - Table
    QA-T975Advanced Analytics : 01 - Control Chart Layer
    QA-T977Advanced Analytics : 03 / Red Tabs (cloned)
    QA-T978Advanced Analytics : 01 / Control Chart Layer (cloned)
    QA-T980Analytics - Machine Analytics (cloned)
    QA-T981Analytics - Table Analytics (cloned)
    QA-T985Advanced Analytics : 02 - Forecast
    QA-T987Advanced Analytics : 02 / Forecast
    QA-T988Advanced Analytics : 03 - Trend Line

    Requirements

    IDRequirement
    PLAT-8728 (249)Provide the ability to print the material history record
    PLAT-8733 (246)All tracked information must be available for reporting
    PLAT-8739 (463)Ability to browse (view and display) forward and backwards batch/lot and material genealogy at all level of the material tracking hierarchy.
    PLAT-8742 (247)All tracked information must be available for visualization
    PLAT-8746 (104)All tracked information must be accessible and viewable for users in a workflow.
    PLAT-8749 (61)Data from connected end-points can be visualized in graphical format such as gauges, indicator, dial, scales, etc.
    PLAT-8751 (60)Data from connected end-points can be visualized as simple metrics
    PLAT-8790 (245)All tracked information must be available for analysis
    PLAT-8795 (833)Abillty to view and perform analysis on all captured data, including audit trail and annotations
    PLAT-8796 (832)Ability to view and perform analysis on audit trail data
    PLAT-8800 (464)Ability to perform analysis on batch/lot and material history records. Ie query history records based on any attribute of the material
    PLAT-8832 (242)Ability to retrieve all historized information for a specific equipment with date-time filters
    PLAT-8844 (372)Track the real-time status of all equipment instances
    PLAT-8860 (97)Visibility to equipment allocation during work order and batch/lot execution to determine future equipment availability during dispatching activities
    PLAT-8875 (831)Ability to manage an authorized change of Digital History Record with full audit trail
    PLAT-8876 (427)Ability to track material attributes during production operations with associated capabilities to browse their history and their trending e.g. temperature, assays, etc.
    PLAT-8884 (95)Ability to view material information for a batch/lot in an App. Information includes all material as part of a material hierarchy, ie. cohort, plate, well, etc.)
    PLAT-8919 (407)Ability to track of material waste and scrap as part of the production process execution.
    PLAT-8967 (76)Ability for content to display relevant process and production data in either graphical format. Ie. pareto, bar graphs, pie graph
    PLAT-8973 (352)All tracking history information must be retained for historical review and analysis for a configurable retention period