Skip to content

Home / Statistical Tools / Analysis Tools / Source Data Formats

Source Data Formats

Every analysis tool reads its data from an Excel range through the same two steps: the Data Selection dialog, then the tool's own Data tab. This page explains both, and how Quantum XL interprets what it reads.

Step 1: The Data Selection dialog

When you launch a tool, the Data Selection dialog opens first. If you had a range selected in Excel, it is filled in as the starting point; otherwise pick the range here.

  • Selected Range: type a range or select it in the worksheet. Selecting an entire column or sheet is fine; Quantum XL trims to the used cells.
  • Data Orientation:
    • Data in Columns (default): each column is a dataset, one observation per row
    • Data in Rows: each row is a dataset, one observation per column
    • One Group Data: the whole range is a single dataset; a Dataset Name box appears (default "Dataset")
  • First Row/Column is Header (checked by default): the first row (or first column, for data in rows) supplies the dataset names. Unchecked, names are generated ("Col A", "Col B", ... or "Row 1", "Row 2", ...).
  • Exclude Data in Hidden Cells (checked by default): hidden rows and columns are left out of the analysis.

Click Next to continue to the tool's dialog.

Step 2: The tool's Data tab

Each tool's dialog opens on a Data tab built from the same parts (individual tools hide the parts they do not support):

  • Excel / GroupBy: analyze the datasets as selected, or switch to GroupBy mode to split one data column by the values of grouping columns
  • Data Types: every column gets a detected type: Continuous, Nominal, DateTime, Count, or Integer. A dropdown per column lets you reclassify if the detection is wrong; the tool's column lists re-filter accordingly.
  • Data Columns: which datasets to analyze. Each tool allows only the types that make sense for it; see the tool's Preparing Your Data page.
  • Frequency Data (Optional): on tools that support it, a column whose values act as repeat counts
  • Overlay Datasets on a Single Chart: on tools that support it, combines the selected datasets into one chart
  • Clicking any column shows a summary line: its type, row counts, empty and invalid cells, and min/max values.

A column can play only one role at a time; picking it in one list disables it in the others.

GroupBy data

In GroupBy mode you choose grouping columns and their order; Quantum XL produces one analysis per unique group value (or combination, when several grouping columns are used, joined like "Plant1|2024-03").

  • A DateTime grouping column also gets a time bucket: Year, Month, Week, Day, Hour, Minute, or Second
  • A column with more than 100 unique values cannot be a grouping column (it would create more than 100 charts)

How cells are interpreted

  • Empty cells, cells containing only spaces, and Excel error values (#N/A, #DIV/0!, ...) count as empty and are excluded from calculations
  • A column's type is detected from the majority of its non-empty cells; use the Data Types dropdown to override
  • Columns that are entirely empty are dropped
  • Dates keep their date value (they are not converted to text)

Data Template

QXL Stat Tools > Data Template > Create Data Template builds a pre-structured worksheet for collecting data and running analyses from it. It runs the previous version's code and its help has not been rewritten for v18.

See Also

  • Analysis Tools
  • QXL Stat Tools > Additional Tools > Stack/Unstack Data > Stack Columns for converting cross-table data into GroupBy format. It runs the previous version's code and its help has not been rewritten for v18