# Workbook summary: Superstore.twb

Generated by a Python script from the workbook file. Workbook version 18.1, source platform win.

Conventions:
- Internal names (`Calculation_...`, `Parameter N`, data source ids) are replaced with display names; `[Name]` in a formula is a field or parameter display name.
- Pills use Tableau notation, e.g. `SUM(Sales)`, `YEAR(Order Date)`; `[trunc]` marks a continuous date truncation; `{table calc: ...}` marks a table calculation; a `Name: ` prefix marks a secondary data source in a blend.
- Calculation comments inside formulas (`//`, `/* */`) are kept as part of the formula text; "Comment" is the field comment.
- Long member lists are cut at 25 entries. Real-valued parameter numbers are shown in shortest round-trip form (e.g. 18.4); filter bounds are shown as stored.
- Skipped: thumbnails, external, metadata-records, style, windows, devicelayouts, and each sheet's datasource-dependencies (except ad-hoc calculations).

## Item counts

- data sources: 3
- connections: 3
- physical tables: 5
- relationships (logical layer): 2
- joins (legacy): 0
- data blending links: 1
- custom SQL: 0
- data source filters: 0
- extract filters: 0
- extracts: 0
- parameters: 6
- parameters with comment: 0
- calculated fields: 21
- calculated fields with comment: 3
- calculated fields with inline // or /* */ comment: 1
- auto-generated columns excluded (user:auto-column): 0
- sheets: 21
- sheets with rows: 19
- sheets with columns: 19
- mark panes: 21
- sheet filters: 94
- ad-hoc calculations (sheet occurrences): 2
- ad-hoc calculations (distinct): 2
- dashboards: 6
- dashboard sheet zones: 17
- dashboard filter controls: 17
- dashboard parameter controls: 4
- dashboard legends: 6
- distinct sheets placed on dashboards: 17
- actions: 10
- action links (link elements): 2

## Data sources

### Sales Target

- Connections (1):
  - Sales Target: `class=excel-direct, filename=Data/Superstore/Sales Target.xlsx`
- Tables (1):
  - Sales Target: `[Sheet1$]` via Sales Target
- Table relationships (0): none
- Custom SQL (0): none
- Data source filters (0): none
- Extract: none (live connection); extract filters (0): none

### Sales Commission

- Connections (1):
  - Sales Commission: `class=textscan, directory=Data/Superstore, filename=Sales Commission.csv`
- Tables (1):
  - Sales Commission: `[Sales Commission#csv]` via Sales Commission
- Table relationships (0): none
- Custom SQL (0): none
- Data source filters (0): none
- Extract: none (live connection); extract filters (0): none

### Sample - Superstore

- Connections (1):
  - Sample - Superstore: `class=excel-direct, filename=Data/Superstore/Sample - Superstore.xlsx`
- Tables (3):
  - Orders: `[Orders$]` via Sample - Superstore
  - People: `[People$]` via Sample - Superstore
  - Returns: `[Returns$]` via Sample - Superstore
- Table relationships (2):
  - Orders <-> People on `[Region] = [Region (People)]`
  - Orders <-> Returns on `[Order ID] = [Order ID (Returns)]`
- Custom SQL (0): none
- Data source filters (0): none
- Extract: none (live connection); extract filters (0): none

### Data blending links

- Sample - Superstore -> Sales Target (6 linked fields)
  - `MONTH(Order Date)` = `MONTH(Order Date)`
  - `Category` = `Category`
  - `Segment` = `Segment`
  - `MONTH(Order Date) [trunc]` = `MONTH(Order Date) [trunc]`
  - `YEAR(Order Date) [trunc]` = `YEAR(Order Date) [trunc]`
  - `YEAR(Order Date)` = `YEAR(Order Date)`

## Parameters

- **Base Salary** (integer)
  - Current value: `50000`
  - Allowable values: range 0 to no maximum, step 1000
- **Commission Rate** (real)
  - Current value: `18.4`
  - Allowable values: range 1.0 to 100.0, step 0.1
- **New Quota** (integer)
  - Current value: `500000`
  - Allowable values: range 100000 to no maximum, step 25000
- **Sort by** (string)
  - Current value: `"Names"`
  - Allowable values: list: "\% quota ascending", "\% quota descending", "Names"
- **New Business Growth** (real)
  - Current value: `0.6`
  - Allowable values: range 0.0 to 1.0, step 0.01
- **Churn Rate** (real)
  - Current value: `0.064`
  - Allowable values: range 0.0 to 0.25, step 0.001

## Calculated fields

### Sales Target (0)

- none


### Sales Commission (11)

- **Achievement (estimated)** (integer, measure)
  ```
  [Sales]
  ```
- **Achieved Quota** (string, measure)
  ```
  if SUM([Achievement (estimated)]) >= [New Quota] then "100% +"
  elseif SUM([Achievement (estimated)]) >= 0.75 * [New Quota] then "75-100%"
  elseif SUM([Achievement (estimated)]) >= 0.5 * [New Quota] then "50-75%"
  else "Below 50%" end
  ```
- **Base (Variable)** (integer, measure)
  ```
  [Base Salary]
  ```
- **% of quota achieved** (real, measure)
  ```
  AVG([Achievement (estimated)])/[New Quota]
  ```
- **Rank over 3** (real, measure)
  ```
  ROUND(INDEX() / 3 - 0.6,0) + 1
  ```
  - Table calculation default: compute using Rows
- **Sort by field** (real, measure)
  ```
  if [Sort by]="Names" then 0
  elseif [Sort by]="% quota descending" then -[% of quota achieved]
  else [% of quota achieved] end
  ```
- **Commission (Variable)** (real, measure)
  ```
  ([Commission Rate]*[Sales])/100
  ```
- **Estimate Compensation label** (string, dimension)
  ```
  "Estimated Compensation:"
  ```
- **OTE (Variable)** (real, measure)
  ```
  [Base Salary] + ([Commission Rate]*[New Quota])/100
  ```
- **Total Compensation** (real, measure)
  ```
  MIN([Base (Variable)]) + SUM([Commission (Variable)])
  ```
- **Total Sales label** (string, dimension)
  ```
  "Total Sales:"
  ```

### Sample - Superstore (10)

- **Days to Ship Actual** (integer, measure)
  ```
  DATEDIFF('day',[Order Date],[Ship Date])
  ```
- **Sales Forecast** (real, measure)
  ```
  [Sales]*(1-[Churn Rate])*(1+[New Business Growth])
  ```
- **Ship Status** (string, dimension)
  ```
  if [Days to Ship Actual]> [Days to Ship Scheduled] then "Shipped Late" 
  elseIF [Days to Ship Actual]= [Days to Ship Scheduled] then "Shipped On Time"
  Else "Shipped Early" end
  ```
  - Comment: Was shipment early, ontime or late based on ship mode
- **Days to Ship Scheduled** (integer, measure)
  ```
  CASE  [Ship Mode]
  WHEN "Same Day" THEN 0
  WHEN "First Class" THEN 1
  WHEN "Second Class" THEN 3
  WHEN "Standard Class" THEN 6
  END
  ```
- **Order Profitable?** (boolean, dimension)
  ```
  {fixed [Order ID]:sum([Profit])}>0
  // calculates the profit at the order level
  ```
  - Comment: A level of detail expression that calculates profitability for each Order
- **Sales per Customer** (real, measure)
  ```
  Sum([Sales])/countD([Customer Name])
  ```
- **Profit Ratio** (real, measure)
  ```
  sum([Profit])/sum([Sales])
  ```
- **Sales above Target?** (string, measure)
  ```
  If Sum([Sales])>SUM([Sales Target].[Sales Target]) then "Above Target" else "Below Target" end
  ```
  - Comment: Used with "Sales Target" data source
- **Units estimate** (real, measure, hidden)
  ```
  ROUND([Quantity]*(1-[Churn Rate])*(1+[New Business Growth]),0)
  ```
- **Profit per Order** (real, measure)
  ```
  Sum([Profit])/countD([Order ID])
  ```

## Sheets

### CommissionProjection

- Data sources: Sales Commission
- Rows: `(Rank over 3 {table calc: compute using Columns} / Sales Person)`
- Columns: `Measure Values`
- Marks: Automatic | color: Measure Names; detail: SUM(Achievement (estimated)), Total Compensation, MAX(OTE (Variable)), Total Compensation, Achieved Quota
- Filters (1):
  - Measure Names [categorical]: in "SUM(Commission (Variable))", "MIN(Base (Variable))"

### CustomerOverview

- Data sources: Sample - Superstore
- Rows: `Region`
- Columns: `(Measure Names * Measure Values)`
- Marks: Automatic | detail: COUNTD(Customer Name), SUM(Sales), SUM(Quantity), Sales per Customer, SUM(Profit), Profit Ratio
- Filters (7):
  - Measure Names [categorical]: in "COUNTD(Customer Name)", "SUM(Sales)", "SUM(Quantity)", "Sales per Customer", "SUM(Profit)", "Profit Ratio"
  - Category [categorical]: all values
  - Order Date [quantitative]: between #2023-01-03# and #2026-12-30# (included-values: in-range)
  - Region [categorical]: all values
  - Segment [categorical]: all values
  - QUARTER(Order Date) [categorical]: range 1 to 4
  - YEAR(Order Date) [categorical]: all values

### CustomerRank

- Data sources: Sample - Superstore
- Rows: `Customer Name`
- Columns: `SUM(Sales)`
- Marks: Automatic | color: Profit Ratio; tooltip: SUM(Profit); detail: SUM(Sales) {table calc: Rank, compute using Columns}
- Filters (6):
  - Action (Region) [categorical]: all values
  - Category [categorical]: all values
  - Order Date [quantitative]: between #2023-01-03# and #2026-12-30# (included-values: in-range)
  - Region [categorical]: all values
  - Segment [categorical]: all values
  - YEAR(Order Date) [categorical]: all values

### CustomerScatter

- Data sources: Sample - Superstore
- Rows: `SUM(Profit)`
- Columns: `SUM(Sales)`
- Marks: Automatic | color: Profit Ratio; detail: Customer Name, Profit Ratio
- Filters (6):
  - Action (Region) [categorical]: all values
  - Category [categorical]: all values
  - Order Date [quantitative]: between #2023-01-03# and #2026-12-30# (included-values: in-range)
  - Region [categorical]: all values
  - Segment [categorical]: all values
  - YEAR(Order Date) [categorical]: all values

### DaystoShip

- Data sources: Sample - Superstore
- Rows: `Product Name`
- Columns: `Order Date`
- Marks: Automatic | color: Ship Status; size: SUM(Days to Ship Actual); detail: Order ID, Customer Name, Ship Mode
- Filters (8):
  - Action (Delayed?) [categorical]: all values
  - Action (Ship Status) [categorical]: all values
  - Action (Ship Status,YEAR(Order Date),WEEK(Order Date)) [categorical]: crossjoin: all Ship Status x all YEAR(Order Date) x all WEEK(Order Date) [trunc]
  - Ship Status [categorical]: all values
  - Region [categorical]: all values
  - Ship Mode [categorical]: all values
  - QUARTER(Order Date) [categorical]: in 4
  - YEAR(Order Date) [categorical]: in 2026

### Forecast

- Data sources: Sample - Superstore
- Rows: `(Segment * SUM(Sales) {forecast: forecast-value})`
- Columns: `MONTH(Order Date) [trunc]`
- Marks: Automatic | color: Segment, Forecast Indicator {forecast: forecast-indicator}
- Filters (2):
  - Order Date [quantitative]: between #2023-01-03# and #2026-12-30# (included-values: in-range)
  - Region [categorical]: all values

### OTE

- Data sources: Sales Commission
- Rows: `Measure Names`
- Columns: (empty)
- Marks: Automatic | label: Measure Values
- Filters (1):
  - Measure Names [categorical]: in "SUM(OTE (Variable))", "AVG(OTE (Variable))"

### Performance

- Data sources: Sample - Superstore; Sales Target
- Rows: `(YEAR(Order Date) / (MONTH(Order Date) / Segment))`
- Columns: `(Category * SUM(Sales))`
- Marks: Bar | color: Sales above Target?; detail: Sales Target: SUM(Sales Target), SUM([Sales])-SUM([Sales Target].[Sales Target])
- Filters (2):
  - Region [categorical]: all values
  - YEAR(Order Date) [categorical]: all values
- Ad-hoc calculations (1):
  - ad-hoc calculation
    ```
    SUM([Sales])-SUM([Sales Target].[Sales Target])
    ```

### Product Detail Sheet

- Data sources: Sample - Superstore
- Rows: `(Order ID / (Customer Name / (Order Date / (Ship Date / Ship Mode))))`
- Columns: `Measure Names`
- Marks: Automatic | label: Measure Values
- Filters (10):
  - Measure Names [categorical]: in "SUM(Sales)", "SUM(Quantity)", "SUM(Discount)", "SUM(Profit)", "Profit Ratio", "SUM(Days to Ship Scheduled)", "SUM(Days to Ship Actual)"
  - Action (Order Profitable?,MONTH(Order Date),Segment) [categorical]: crossjoin: all Order Profitable? x all MONTH(Order Date) [trunc] x all Segment
  - Action (Postal Code,State/Province) 1 [categorical]: crossjoin: all Postal Code x all State/Province
  - Category [categorical]: all values
  - City [categorical]: all except %null%
  - Order Date [categorical]: all values
  - Order Date [quantitative]: between #2023-01-03# and #2026-12-30# (included-values: in-range)
  - Region [categorical]: all values
  - Segment [categorical]: all values
  - State/Province [categorical]: all values

### ProductDetails

- Data sources: Sample - Superstore
- Rows: `(Category / Sub-Category)`
- Columns: `(Segment * SUM(Sales))`
- Marks: Circle | color: Profit Ratio; detail: Product Name, Category, SUM(Profit)
- Filters (7):
  - Action (Category,YEAR(Order Date),MONTH(Order Date)) [categorical]: crossjoin: all Category x all YEAR(Order Date) x all MONTH(Order Date)
  - Action (YEAR(Order Date),MONTH(Order Date)) [categorical]: crossjoin: all YEAR(Order Date) x all MONTH(Order Date)
  - Action (YEAR(Order Date),MONTH(Order Date),Product Category) [categorical]: crossjoin: all YEAR(Order Date) x all MONTH(Order Date) x all Category
  - MONTH(Order Date) [categorical]: all values
  - Order Date [quantitative]: between #2023-01-03# and #2026-12-30# (included-values: in-range)
  - Region [categorical]: all values
  - YEAR(Order Date) [categorical]: all values

### ProductView

- Data sources: Sample - Superstore
- Rows: `(Category / YEAR(Order Date))`
- Columns: `MONTH(Order Date)`
- Marks: Square | color: SUM(Sales); label: SUM(Sales); tooltip: SUM(Profit)
- Filters (3):
  - Category [categorical]: all values
  - Region [categorical]: all values
  - YEAR(Order Date) [categorical]: all values

### QuotaAttainment

- Data sources: Sales Commission
- Rows: `(Rank over 3 {table calc: compute using Columns} / Sales Person)`
- Columns: `SUM(Achievement (estimated))`
- Marks: Automatic | label: % of quota achieved; color: Achieved Quota; detail: New Quota, Total Compensation, MAX(OTE (Variable)), Total Compensation
- Filters (0): none

### Sale Map

- Data sources: Sample - Superstore
- Rows: `Latitude (generated)`
- Columns: `Longitude (generated)`
- Marks: Multipolygon | color: Profit Ratio; detail: State/Province, Country/Region; geometry: Geometry (generated)
- Filters (4):
  - Order Profitable? [categorical]: in false, true
  - Order Date [quantitative]: between #2023-01-03# and #2026-12-30# (included-values: in-range)
  - Region [categorical]: all values
  - Profit Ratio [quantitative]: between -0.2168640535982099 and 0.36983661545120111 (included-values: in-range-or-null)

### Sales

- Data sources: Sales Commission
- Rows: `Measure Names`
- Columns: (empty)
- Marks: Automatic | label: Measure Values
- Filters (1):
  - Measure Names [categorical]: in "SUM(Sales)", "% of quota achieved"

### Sales by Product

- Data sources: Sample - Superstore
- Rows: `(Category * SUM(Sales))`
- Columns: `MONTH(Order Date) [trunc]`
- Marks: Area | color: Order Profitable?; tooltip: SUM(Profit)
- Filters (6):
  - Action (MONTH(Order Date),Segment) [categorical]: crossjoin: all MONTH(Order Date) [trunc] x all Segment
  - Action (Postal Code,State/Province) [categorical]: crossjoin: all Postal Code x all State/Province
  - Action (State/Province) [categorical]: all values
  - Order Profitable? [categorical]: in false, true
  - Order Date [quantitative]: between #2023-01-03# and #2026-12-30# (included-values: in-range)
  - Region [categorical]: all values

### Sales by Segment

- Data sources: Sample - Superstore
- Rows: `(Segment * SUM(Sales))`
- Columns: `MONTH(Order Date) [trunc]`
- Marks: Area | color: Order Profitable?; tooltip: SUM(Profit)
- Filters (6):
  - Action (MONTH(Order Date),Product Category) [categorical]: crossjoin: all MONTH(Order Date) [trunc] x all Category
  - Action (Postal Code,State/Province) [categorical]: crossjoin: all Postal Code x all State/Province
  - Action (State/Province) [categorical]: all values
  - Order Profitable? [categorical]: in false, true
  - Order Date [quantitative]: between #2023-01-03# and #2026-12-30# (included-values: in-range)
  - Region [categorical]: all values

### ShipSummary

- Data sources: Sample - Superstore
- Rows: (empty)
- Columns: `COUNT(Orders) {table calc: PctTotal, compute using Field}`
- Marks: Automatic | color: Ship Status; label: COUNT(Orders) {table calc: PctTotal, compute using Field}, Ship Status
- Filters (5):
  - Ship Status [categorical]: all values
  - Region [categorical]: all values
  - Ship Mode [categorical]: all values
  - QUARTER(Order Date) [categorical]: in 4
  - YEAR(Order Date) [categorical]: in 2026

### ShippingTrend

- Data sources: Sample - Superstore
- Rows: `COUNT(Orders)`
- Columns: `(YEAR(Order Date) * WEEK(Order Date) [trunc])`
- Marks: Area | color: Ship Status
- Filters (6):
  - Action (Delayed?) [categorical]: all values
  - Action (Ship Status) [categorical]: all values
  - Region [categorical]: all values
  - Ship Mode [categorical]: all values
  - QUARTER(Order Date) [categorical]: in 4
  - YEAR(Order Date) [categorical]: in 2026

### Tooltip: Profit Ratio by City

- Data sources: Sample - Superstore
- Rows: `City`
- Columns: `Profit Ratio`
- Marks: Automatic | color: Profit Ratio
- Filters (3):
  - Tooltip (Country/Region,State/Province) [categorical]: crossjoin: all Country/Region x all State/Province
  - Tooltip (State/Province) [categorical]: all values
  - Order Date [quantitative]: between #2023-01-03# and #2026-12-30# (included-values: in-range)

### Total Sales

- Data sources: Sample - Superstore
- Rows: (empty)
- Columns: `Measure Names`
- Marks: Automatic | label: Measure Values
- Filters (6):
  - Measure Names [categorical]: in "SUM(Sales)", "SUM(Profit)", "Profit Ratio", "Profit per Order", "Sales per Customer", "AVG(Discount)", "SUM(Quantity)"
  - Action (Order Profitable?,Category,MONTH(Order Date)) [categorical]: crossjoin: all Order Profitable? x all Category x all MONTH(Order Date) [trunc]
  - Action (Order Profitable?,MONTH(Order Date),Segment) [categorical]: crossjoin: all Order Profitable? x all MONTH(Order Date) [trunc] x all Segment
  - Action (State/Province) [categorical]: all values
  - Order Date [quantitative]: between #2023-01-03# and #2026-12-30# (included-values: in-range)
  - Region [categorical]: all values

### What If Forecast

- Data sources: Sample - Superstore
- Rows: `(Region / (Segment / Measure Names))`
- Columns: `(QUARTER(Order Date) / MONTH(Order Date))`
- Marks: Automatic | color: Measure Names; label: Measure Values; detail: SUM([Sales])-SUM([Sales Forecast]), SUM(Sales), SUM(Sales Forecast)
- Filters (4):
  - Measure Names [categorical]: in "SUM(Sales)", "SUM(Sales Forecast)"
  - Order Date [quantitative]: between #2023-01-03# and #2026-12-30# (included-values: in-range)
  - Region [categorical]: all values
  - YEAR(Order Date) [categorical]: all values
- Ad-hoc calculations (1):
  - ad-hoc calculation
    ```
    SUM([Sales])-SUM([Sales Forecast])
    ```

## Dashboards

### Commission Model

- Sheets (4): QuotaAttainment; CommissionProjection; Sales; OTE
- Filter controls (0): none
- Parameter controls (4):
  - New Quota (mode: type_in)
  - Base Salary (mode: type_in)
  - Sort by (mode: compact)
  - Commission Rate (mode: slider)
- Legends (2):
  - color legend: Achieved Quota (sheet: QuotaAttainment)
  - color legend: Measure Names (sheet: CommissionProjection)
- Other objects: title x1, text x1, empty x1

### Customers

- Sheets (3): CustomerScatter; CustomerRank; CustomerOverview
- Filter controls (3):
  - YEAR(Order Date) (sheet: CustomerScatter, mode: checkdropdown)
  - Category (sheet: CustomerScatter)
  - Segment (sheet: CustomerScatter)
- Parameter controls (0): none
- Legends (1):
  - color legend: Profit Ratio (sheet: CustomerScatter)
- Other objects: title x1

### Order Details

- Sheets (1): Product Detail Sheet
- Filter controls (6):
  - Order Date (sheet: Product Detail Sheet)
  - Region (sheet: Product Detail Sheet, mode: checkdropdown)
  - State/Province (sheet: Product Detail Sheet, mode: checkdropdown)
  - City (sheet: Product Detail Sheet, mode: checkdropdown)
  - Category (sheet: Product Detail Sheet, mode: checkdropdown)
  - Segment (sheet: Product Detail Sheet, mode: checkdropdown)
- Parameter controls (0): none
- Legends (0): none
- Other objects: title x1

### Overview

- Sheets (4): Total Sales; Sale Map; Sales by Segment; Sales by Product
- Filter controls (3):
  - Region (sheet: Sale Map, mode: dropdown)
  - Order Date (sheet: Sale Map)
  - Profit Ratio (sheet: Sale Map)
- Parameter controls (0): none
- Legends (1):
  - color legend: Profit Ratio (sheet: Sale Map)
- Other objects: none

### Product

- Sheets (2): ProductView; ProductDetails
- Filter controls (1):
  - Region (sheet: ProductView, mode: radiolist)
- Parameter controls (0): none
- Legends (2):
  - color legend: SUM(Sales) (sheet: ProductView)
  - color legend: Profit Ratio (sheet: ProductDetails)
- Other objects: title x1

### Shipping

- Sheets (3): ShipSummary; ShippingTrend; DaystoShip
- Filter controls (4):
  - YEAR(Order Date) (sheet: ShippingTrend, mode: radiolist)
  - QUARTER(Order Date) (sheet: ShippingTrend, mode: radiolist)
  - Region (sheet: ShippingTrend, mode: checkdropdown)
  - Ship Mode (sheet: ShippingTrend, mode: checkdropdown)
- Parameter controls (0): none
- Legends (0): none
- Other objects: title x1

## Actions

- **State/Province Filter 1** (Filter)
  - Trigger: on-select (auto-clear: true)
  - Source: dashboard `Overview`, sheet `Sale Map`
  - Target: dashboard `Overview`; excluded target sheets: Sale Map
  - Link: caption `State/Province Filter 1`, expression `tsl:Overview?[Sample - Superstore].[State/Province]~s0=<[State/Province]~na>`
- **State/Province Highlight (map) 1** (Highlight)
  - Trigger: on-select (auto-clear: true)
  - Source: dashboard `Overview`, all sheets except Sales by Product, Sales by Segment
  - Target: dashboard `Overview`; excluded target sheets: Sales by Product, Sales by Segment
  - Fields: State/Province
- **Month Highlight 1** (Highlight)
  - Trigger: on-select (auto-clear: true)
  - Source: dashboard `Overview`, all sheets except Sale Map
  - Target: dashboard `Overview`; excluded target sheets: Sale Map
  - Fields: MONTH(Order Date), Order Profitable?
- **Filter Product Sales 1** (Filter)
  - Trigger: on-select (auto-clear: true)
  - Source: dashboard `Product`, sheet `ProductView`
  - Target: dashboard `Product`
  - Fields: all fields (special-fields=all)
- **Highlight Customer Name (Hover) 1** (Highlight)
  - Trigger: on-hover (auto-clear: true)
  - Source: dashboard `Customers`, all sheets except CustomerOverview
  - Target: dashboard `Customers`; excluded target sheets: CustomerOverview
  - Fields: Customer Name
- **Filter Region 1** (Filter)
  - Trigger: on-select (auto-clear: true)
  - Source: dashboard `Customers`, sheet `CustomerOverview`
  - Target: dashboard `Customers`; excluded target sheets: CustomerOverview
  - Link: caption `Filter Region 1`, expression `tsl:Customers?[Sample - Superstore].[Region]~s0=<[Region]~na>`
- **Highlight 1 (generated) 1** (Highlight)
  - Trigger: on-select (auto-clear: true)
  - Source: dashboard `Customers`, all sheets except CustomerOverview
  - Target: dashboard `Customers`; excluded target sheets: CustomerOverview
  - Fields: all fields (special-fields=all)
- **Filter Details 1** (Filter)
  - Trigger: on-select (auto-clear: true)
  - Source: dashboard `Shipping`, sheet `ShippingTrend`
  - Target: dashboard `Shipping`; excluded target sheets: ShipSummary
  - Fields: all fields (special-fields=all)
- **Filter 1 (generated) 1** (Filter)
  - Trigger: on-select (auto-clear: true)
  - Source: dashboard `Shipping`, sheet `ShipSummary`
  - Target: dashboard `Shipping`
  - Fields: all fields (special-fields=all)
- **Highlight 3 (generated) 1** (Highlight)
  - Trigger: on-select (auto-clear: true)
  - Source: dashboard `Commission Model`, all sheets
  - Target: dashboard `Commission Model`; excluded target sheets: OTE, Sales
  - Fields: Sales Person