Tableau Prep — Sample Output Coverage

Every section RapidDox generates from a .tfl or .tflx Tableau Prep flow.

.tfl.tflxPDFWordExcelHTMLCSV
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Sample Output
Superstore Prep Flow Documentation
Real RapidDox output from a Tableau Prep flow built on the Superstore dataset — Word, Excel, PDF, HTML, and CSV included.
⬇ Sample Documentation
Exports:Word (.docx)Excel (.xlsx)PDFHTMLCSV
Summary Statistics
A header section that gives readers a one-glance picture of the flow size and shape.
  • No. of Connections
    Distinct connections referenced in the flow.
  • No. of Parameters
    Parameters declared in the flow.
  • No. of Input Steps
    Input nodes feeding data into the flow.
  • No. of Output Steps
    Output nodes across all destinations (Hyper, Database, Excel, CSV, Data Cloud, CRM Analytics, Publish Extract).
  • No. of Input Fields
    Total fields across all input steps.
  • No. of Union Steps
    Union nodes in the flow.
  • No. of Join Steps
    Join nodes in the flow.
  • No. of Pivot Steps
    Pivot and unpivot nodes.
  • No. of Aggregate Steps
    Aggregation nodes.
  • No. of Clean Steps
    Cleaning / transformation nodes.
  • No. of New Row Steps
    Nodes that generate new rows.
  • No. of Script Steps
    Extensibility (Python / R) script nodes.
  • No. of Prediction Steps
    Prediction-model nodes.
  • No. of Actions
    Total cleaning operations applied across all steps.
  • No. of Groups
    Nested container groups.
Connections
Every connection the flow draws from — files and databases — and whether they're bundled into the .tflx.
  • Name
    The connection name shown in Prep.
  • Connection Type
    File or database type (CSV, Excel, SQL Server, Snowflake, etc.).
  • Is Packaged
    Whether the source is bundled inside a .tflx archive.
  • File Name
    Source file path or database identifier.
Parameters
Flow parameters with their data type, current value, and allowed values.
  • Name
    Parameter name.
  • Data Type
    Number (whole), Number (decimal), Boolean, String, or the raw type for any other kind.
  • Current Value
    The value the parameter starts with.
  • Description
    Any description captured in Prep.
  • Required for Flow Run
    Yes or No — whether the parameter must be set before the flow can run.
  • Allowed Values
    The full list of permitted values, the literal "Any", or "true, false" for binary parameters.
Input Steps
For every input step: where the data comes from, the fields it brings in, and any filters applied at load.
  • Step Name & Type
    The step name and its type (LoadCsv, LoadExcel, LoadSql, and their input-union variants).
  • Description
    Any description captured in Prep.
  • Connection
    The connection the step draws from.
  • Contains Header
    Whether the file or table has a header row.
  • Field List
    Every field at the input, with its data type.
  • File Filters
    Filters on wildcard / union file inputs — regex pattern, value range, top / bottom N rank, and relative-date filters ("Last 7 days", "Today", "Quarter to date", etc.).
  • DB Union Filters
    Inclusion or exclusion patterns and the tables they match, for database union inputs.
Cleaning Operations
Cleaning steps broken down into the individual operations they perform.
  • Remove Column / Columns
    The column or columns removed at this step.
  • Rename Column
    Original name and new name.
  • Bulk Rename Columns
    Selection rule, included or exempted columns, and the rename operation applied.
  • Add Column (Calculated)
    The new column's name and the expression that builds it.
  • Change Column Type
    The column, its new data type, and any conversion calculation.
  • Quick Calculation
    The column, the expression, and the calculation type.
  • Remap Values
    The column being remapped and the old → new value map.
  • Range Filter
    The numeric or date ranges kept.
  • Filter Operation
    The filter expression.
  • Rich Null Filter
    The column, the null-handling rule, and any description.
Joins
Every join step — what's combined, how, and on which conditions.
  • Sources
    The steps being joined.
  • Join Type
    Inner, Left, Right, or Outer.
  • Join Conditions
    The field-level conditions used to match rows.
Unions
Every union step — the sources stacked together and the union method.
  • Sources
    The steps being unioned.
  • Union Type
    How the rows are combined.
Pivots and Unpivots
Reshaping operations — columns to rows and back.
  • Pivot Fields
    The fields being pivoted (for pivot steps).
  • Value Fields
    The aggregated value fields (for pivot steps).
  • Unpivot Groups
    The column groups being reshaped from columns to rows (for unpivot steps).
  • Smart Defaults
    Whether Prep's smart-default detection is in use.
Aggregations
Group-by aggregations with the aggregation functions applied to each output field.
  • Group-By Fields
    Fields used to group rows.
  • Aggregate Fields
    Fields being aggregated, with the function applied (SUM, AVG, COUNT, MAX, MIN, and so on).
New Rows
Steps that generate new rows added to the flow.
  • Generated Rows
    The row values being produced.
  • Row Structure
    The column structure of the new rows.
Scripts (Extensibility)
Python or R script steps invoked from the flow.
  • Function Name
    The script function called.
  • Language
    Python or R.
  • Script Code
    The script body, captured when present in the flow file.
Predictions
Steps that score data against a trained model.
  • Model Name
    The trained model invoked at this step.
  • Model Type
    Classification, regression, or clustering.
  • Input Fields
    The fields fed into the model.
  • Output Fields
    The prediction columns produced.
Output — Write to Hyper
Hyper-extract outputs.
  • Output Table Name
    Hyper table name.
  • Output Path
    Path to the .hyper file produced.
  • TDS Output
    Path to the matching .tds file, when one is generated.
Output — Write to Database
Database table outputs.
  • Table Name
    Target table name.
  • Schema
    Database schema.
  • Connection
    The connection the output writes to.
  • Write-Back Mode
    The write-back mode configured for the step.
Output — Write to Excel
Excel workbook outputs.
  • Output Path
    Path to the .xlsx file produced.
  • Sheet Name
    Sheet the data is written to.
Output — Write to CSV
CSV file outputs.
  • Output Path
    Path to the .csv file produced.
Output — Write to Data Cloud
Salesforce Data Cloud outputs.
  • Table Name
    Target Data Cloud table.
  • Connection
    Data Cloud connection used.
Output — Write to CRM Analytics
Salesforce CRM Analytics outputs.
  • Dataset Name
    Target CRM Analytics dataset.
  • Connection
    CRM Analytics connection used.
Output — Publish Extract
Published Tableau data source outputs.
  • Data Source Name
    The published data source name.
  • Show Sheet
    Whether the sheet is shown in Tableau Server.
  • Include All
    Whether all fields are included in the extract.
Groups (Nested Containers)
Container groups documented as a single step with their nested structure preserved.
  • Step Name
    The container group's name.
  • Nested Steps
    The steps contained inside the group.
  • Container Inputs
    Steps feeding into the container.
  • Container Outputs
    Steps receiving output from the container.
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