Data Grid Editable
The Data Grid Editable workflow is the main app at:
https://anywaydata.com/app.html
It is designed for interactive editing where generated data and manual edits happen in the same grid.
By 'opening' the Test Data section in the GUI it is possible to Generate a Data Grid filled with Random Data.
What this page is best for
- importing and editing existing table data
- generating random data directly into the visible grid
- refining data by hand before exporting
- switching between many data formats quickly
Test Data section in app.html
Open the Test Data section to define generation rules.
The definition grid acts as a schema/template:
- each row maps to one target output column
- choose a type (
Literal,RegEx,Enum,Faker) - configure row count with
How Many? - press
Generate(orGenerate Pairwisewhen applicable)
Generated rows are inserted into the main editable data grid.
Grid to Enum Schema
The Grid to Enum Schema action scans the current main data grid and builds a schema definition from the values already in the table.
Use this when you already have example rows in the editable grid and want to quickly turn those values into Enum generation rules.
The generated schema uses:
- one schema row per grid column
- the current column header as the schema row name
Enumas the source type for every generated row- unique values collected in first-seen row order
How it works
- Open the
Test Datasection inapp.html. - Press
Grid to Enum Schema. - Enter a maximum number of enum values to keep for each column.
- Confirm truncation if any column has more unique values than the chosen limit.
- Review the generated schema and press
GenerateorGenerate Pairwiseas needed.
The limit prompt shows the largest unique-value count found in the scanned grid and uses a numeric input field to reduce entry mistakes.
The default value is:
- the largest column unique-value count when it is
256or less 256when the largest column has more than256unique values
If the chosen limit is lower than the number of unique values in one or more columns, then AnyWayData will ask for confirmation before truncating the schema. Truncation keeps the first values seen in current grid row order.
When accepted, the generated enum schema replaces the existing schema definition in the Test Data editor. The schema grid, schema text area, validation state, and pairwise button visibility are all refreshed automatically.
If the grid is empty, or no usable values can be extracted, then the existing schema is left unchanged.
Example source grid:
Browser,Device,Theme
Chrome,Desktop,Light
Firefox,Mobile,Dark
Chrome,Tablet,Dark
Example generated enum schema:
Browser
enum("Chrome","Firefox")
Device
enum("Desktop","Mobile","Tablet")
Theme
enum("Light","Dark")
Generate Modes in the Grid
When generating in app.html, you can choose whether generation replaces data or amends existing rows:
New Tableclears/rebuilds the table from the schema and generates a fresh data setAmend Tableupdates the current table while preserving existing rows where possibleAmend Selectedapplies generation only to selected rows in the main grid
These modes are useful when you want to iteratively enrich existing data instead of always starting from a blank table.
Main grid context menu
The main editable grid also supports a right-click context menu for common grid actions.
Use it when you want to work directly in the grid without moving to another toolbar control first.
Typical uses include:
- adding or deleting rows
- adding or deleting columns
- grid-focused edit actions close to the current selection
This makes the editable grid feel more like a spreadsheet-style workspace during cleanup and refinement.
Pairwise generation
When you configure two or more Enum fields, pairwise generation is available to create efficient combinatorial coverage sets.
See All Pairs Combinatorial Testing.
Schema text area support
When you add rows using the data grid, you will see the information is also copied into the text area in the right. This allows you to copy and paste schema definitions for re-use.
The Schema format in the Text Area uses the format
column name
type value
e.g.
column 1
1234
When no type is present it is assumed to be a Regex e.g. 1234 is a Regex that represents the string "1234"
Schema constraints
Schema definitions can also include IF ... THEN ... constraints to restrict which combinations of generated values are valid.
Constraints are useful when one field controls another, for example:
- if
PriorityishighthenStatusmust beopen - if
CountryisUSthenStatemust be a valid US state code - if one value is selected then another value must not be used
Constraints are authored in schema text and are available from the Schema Constraints section when you are editing in schema row mode.
For the full schema format, supported operators, and copy-paste examples, see Schema Definition.
Test Data Grid
The Test Data Grid contains the 'schema' or 'template' to use to generate data for the grid.
Each row represents a Column in the final data grid.
Add a new column by pressing the + Add Column button.
You can rename the column by double clicking on the Column Name field.
The Type is the type of data that will be generated in the column. This can be a Literal (static text), a RegEx (Regular Expression), an Enum (comma-separated values), or one of the predefined random data types from Faker.
When you have 2 or more Enum type columns, the Generate Pairwise button will appear, allowing you to generate optimal combinatorial test data with complete pairwise coverage.
Row count summary
The main data grid shows an always-visible total row count beneath the grid.
When filters are active, the summary also shows the filtered visible count.
Examples:
Total rows: 125
Total rows: 125 | Filtered Visible: 12
This makes it easier to confirm the effect of import, filtering, amend operations, and generated data volumes at a glance.
Types
The Types of data available can be chosen from the drop down value.
The drop down is an option select so you can type in a filter e.g email and you will see any matching options for email.
Number of Rows to Generate
Configure how many rows of data to generate by typing the numeric value in the How Many? text field.
e.g. to generate 1000 rows of data enter 1000 in the How Many? text input field.
Generating Data
Press the [Generate] button to generate the data.
The schema in the Column Definition Data Grid will be used to generate the data.
All data generation happens in the browser so the amount of data you can generate is limited only by the performance and memory of your computer.