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DatasetTheme

is an option for Dataset that specifies an overall theme for a dataset and its elements.

Details
Details and Options Details and Options
Examples  
Basic Examples  
Scope  
Base Themes  
Parameterized Themes  
See Also
History
Cite this Page

DatasetTheme

DatasetTheme

is an option for Dataset that specifies an overall theme for a dataset and its elements.

Details

  • DatasetThemetheme effectively sets the default values for multiple dataset options.
  • Explicit Dataset options will override any settings set by theme.
  • DatasetTheme{theme1,theme2,…} will automatically combine theme1, theme2, etc.
  • Possible settings for DatasetTheme include:
  • Automaticautomatically adapt to background and stylesheet
    "name"explicit dataset theme
  • Base themes affect the whole dataset and are typically used as a single setting. For special effects or situations, they can be combined with feature themes.
  • Common base themes include:
  • "Business"a bright, modern look appropriate for business presentations or infographics
    "Detailed"emphasize the structure of data using backgrounds and dividers
    "Marketing"elegant, eye-catching design suitable for marketing needs
    "Minimal"bare-bones design with minimal structural elements
    "Monochrome"single-color design for printing and accessibility
    "Scientific"candid design useful for analyzing detailed data without overbearing colors
    "Web"clean, bold design suitable for a consumer website or blog
    "Classic"historical design of datasets to remain compatible with existing uses
  • Feature themes affect specific aspects of a dataset and are typically used in combination with a base theme or together with other feature themes.
  • Font feature themes affect dataset headers and content. Themes include:
  • "Bold"bold font
    "BoldHeaders"bold font headers
    "BoldItems"bold font content
    "Italic"italic font
    "Large"large font
    "Small"small font
    "Sans"sans font
    "Serif"serif font
    "StrongHeaders"emphasised headers
    "WeakHeaders"de-emphasised headers
  • Divider feature themes affect dataset dividers. Themes include:
  • "RowDividers"row dividers only
    "ColumnDividers"column dividers only
    "GroupDividers"dividers that group low-level blocks
    "FullDividers"row and column dividers
  • Background feature themes affect dataset backgrounds. Themes include:
  • "AlternatingRowBackgrounds"top-level row backgrounds striped
    "AlternatingColumnBackgrounds"top-level column backgrounds striped
    "AlternatingRowColumnBackgrounds"top-level row and column backgrounds striped
    "AlternatingLeafRowItemBackgrounds"lowest-level row backgrounds striped
    "AlternatingAllRowBackgrounds"row backgrounds striped at all levels
  • Layout feature themes affect how datasets elements are arranged. Themes include:
  • "VerticalColumnHeaders"orient column header text vertically
  • Background and divider feature themes can be parameterized with style information.

Examples

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Basic Examples  (3)

Use the default theme:

Wolfram Language code: Take[ExampleData[{"Dataset", "Planets"}], 5, -2]

Use a detailed theme with striped row backgrounds:

Wolfram Language code: Dataset[Take[ExampleData[{"Dataset", "Planets"}], 5, -2], DatasetTheme -> "Detailed"]

Use a small minimal theme with de-emphasized headers:

Wolfram Language code: Dataset[Take[ExampleData[{"Dataset", "Planets"}], 5, -2], DatasetTheme -> {"Minimal", "Small", "WeakHeaders"}]

Scope  (10)

Base Themes  (5)

Use a base theme:

Wolfram Language code: Dataset[WikipediaData["Eiffel Tower", "GeoNearbyDataset", MaxItems -> 10], DatasetTheme -> "Business"]

Use a base theme with striped row backgrounds:

Wolfram Language code: Dataset[AxiomaticTheory["GroupAxioms", "Dataset"], DatasetTheme -> "Detailed"]

Use a base theme with a clean, minimalist appearance:

Wolfram Language code: Dataset[ExampleData[{"Dataset", "Planets"}], DatasetTheme -> "Minimal"]

Use a base theme with dark backgrounds:

Wolfram Language code: Dataset[CalendarData["MayanLongCount", "Dataset"], DatasetTheme -> "Marketing"]

Combine a base theme with a feature theme for a customized presentation:

Wolfram Language code: Dataset[EntityValue[Entity["Element", "Hydrogen"], "PropertyAssociation"], DatasetTheme -> {"Scientific", "Serif"}]

Parameterized Themes  (5)

Specify the color to be used for row striping:

Wolfram Language code: Dataset[IdentityMatrix[6], DatasetTheme -> {"AlternatingRowBackgrounds", LightBlue}]

Specify colors for both rows and columns:

Wolfram Language code: Dataset[IdentityMatrix[6], DatasetTheme -> {"AlternatingRowColumnBackgrounds", LightBlue, LightGreen}]

Use cyclic colors for row striping:

Wolfram Language code: Dataset[IdentityMatrix[6], DatasetTheme -> {"AlternatingRowBackgrounds", {LightBlue, LightGreen, LightGray}}]

Specify the styles of dividers:

Wolfram Language code: Dataset[Nest[<|"a" -> #, "b" -> #|>&, 0, 3], DatasetTheme -> {"RowDividers", {Orange, AbsoluteThickness[2]}}]

Combine a base theme with a parametrized theme:

Wolfram Language code: Dataset[Nest[<|"a" -> #, "b" -> #|>&, 0, 3], DatasetTheme -> {"Marketing", {"RowDividers", Red}}]
Wolfram Research (2021), DatasetTheme, Wolfram Language function, https://reference.wolfram.com/language/ref/DatasetTheme.html.

Text

Wolfram Research (2021), DatasetTheme, Wolfram Language function, https://reference.wolfram.com/language/ref/DatasetTheme.html.

CMS

Wolfram Language. 2021. "DatasetTheme." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/DatasetTheme.html.

APA

Wolfram Language. (2021). DatasetTheme. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/DatasetTheme.html

BibTeX

@misc{reference.wolfram_2026_datasettheme, author="Wolfram Research", title="{DatasetTheme}", year="2021", howpublished="\url{https://reference.wolfram.com/language/ref/DatasetTheme.html}", note=[Accessed: 12-June-2026]}

BibLaTeX

@online{reference.wolfram_2026_datasettheme, organization={Wolfram Research}, title={DatasetTheme}, year={2021}, url={https://reference.wolfram.com/language/ref/DatasetTheme.html}, note=[Accessed: 12-June-2026]}