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VEGA-LITE: DATA
Vega-Lite - a high-level grammar for statistical graphics. Vega-Lite provides a higher-level grammar for visual analysis, comparable to ggplot or Tableau, that generates complete Vega specifications. Vega-Lite specifications consist of simple mappings of variables in a data set to visual encoding channels such as x, y, color, and size. These mappings are then translated into detailed INTERACTIVE PLOTS WITH SELECTIONS Vega-Lite - a high-level grammar for statistical graphics. Vega-Lite provides a higher-level grammar for visual analysis, comparable to ggplot or Tableau, that generates complete Vega specifications. Vega-Lite specifications consist of simple mappings of variables in a data set to visual encoding channels such as x, y, color, and size. These mappings are then translated into detailed TRANSFORMS | VEGASEE MORE ON VEGA.GITHUB.IO RECT | VEGA-LITERECT MARK PROPERTIESEXAMPLESRECT CONFIGSEE MORE ONVEGA.GITHUB.IO
JOIN AGGREGATE
Vega-Lite - a high-level grammar for statistical graphics. Vega-Lite provides a higher-level grammar for visual analysis, comparable to ggplot or Tableau, that generates complete Vega specifications. Vega-Lite specifications consist of simple mappings of variables in a data set to visual encoding channels such as x, y, color, and size. These mappings are then translated into detailedLINE CHART EXAMPLE
Line Chart Example. Line charts are used to depict changing values, with line slopes conveying rates of change. Different interpolators change the curvature of the line. Options such as cardinal or Catmull-Rom interpolation can produce pleasing curves, but can also “hallucinate” maximum or minimum values that do not exist in thedata.
TRANSFORMATION
Transformation. Data transformations in Vega-Lite are described via either view-level transforms (the transform property) or field transforms inside encoding ( bin, timeUnit, aggregate, sort, and stack ). When both types of transforms are specified, the view-leveltransform s are
LINE MARK | VEGA
Line Mark. Line marks are stroked paths with constant width, defined by an ordered set of (x, y) coordinates. While line marks default to using straight line segments, different interpolation methods can be used to create smoothed or stepped paths. Line marks are commonly used to depict trajectories or change over time.FILTER TRANSFORM
Filter Expression. For an expression string, each datum object can be referred using bound variable datum.For example, setting filter to "datum.b2 > 60" would make the output data includes only items that have values in the field b2 over 60.. Field Predicate. For a field predicate, a field must be provided along with one of the predicate properties: equal, lt (less than), lte (less than orBOX PLOT EXAMPLE
Box Plot Example. A box plot summarizes a distribution of quantitative values using a set of summary statistics. Here, the boxes show the interquartile range (IQR), with the white bar indicating the median value. The thin lines (“whiskers”) currently show the extent of the minimum and maximum values; other values, such as whiskers extending 1.5 * IQR from each end of the box, are oftenVEGA-LITE: DATA
Vega-Lite - a high-level grammar for statistical graphics. Vega-Lite provides a higher-level grammar for visual analysis, comparable to ggplot or Tableau, that generates complete Vega specifications. Vega-Lite specifications consist of simple mappings of variables in a data set to visual encoding channels such as x, y, color, and size. These mappings are then translated into detailed INTERACTIVE PLOTS WITH SELECTIONS Vega-Lite - a high-level grammar for statistical graphics. Vega-Lite provides a higher-level grammar for visual analysis, comparable to ggplot or Tableau, that generates complete Vega specifications. Vega-Lite specifications consist of simple mappings of variables in a data set to visual encoding channels such as x, y, color, and size. These mappings are then translated into detailed TRANSFORMS | VEGASEE MORE ON VEGA.GITHUB.IO RECT | VEGA-LITERECT MARK PROPERTIESEXAMPLESRECT CONFIGSEE MORE ONVEGA.GITHUB.IO
JOIN AGGREGATE
Vega-Lite - a high-level grammar for statistical graphics. Vega-Lite provides a higher-level grammar for visual analysis, comparable to ggplot or Tableau, that generates complete Vega specifications. Vega-Lite specifications consist of simple mappings of variables in a data set to visual encoding channels such as x, y, color, and size. These mappings are then translated into detailedLINE CHART EXAMPLE
Line Chart Example. Line charts are used to depict changing values, with line slopes conveying rates of change. Different interpolators change the curvature of the line. Options such as cardinal or Catmull-Rom interpolation can produce pleasing curves, but can also “hallucinate” maximum or minimum values that do not exist in thedata.
TRANSFORMATION
Transformation. Data transformations in Vega-Lite are described via either view-level transforms (the transform property) or field transforms inside encoding ( bin, timeUnit, aggregate, sort, and stack ). When both types of transforms are specified, the view-leveltransform s are
LINE MARK | VEGA
Line Mark. Line marks are stroked paths with constant width, defined by an ordered set of (x, y) coordinates. While line marks default to using straight line segments, different interpolation methods can be used to create smoothed or stepped paths. Line marks are commonly used to depict trajectories or change over time.FILTER TRANSFORM
Filter Expression. For an expression string, each datum object can be referred using bound variable datum.For example, setting filter to "datum.b2 > 60" would make the output data includes only items that have values in the field b2 over 60.. Field Predicate. For a field predicate, a field must be provided along with one of the predicate properties: equal, lt (less than), lte (less than orBOX PLOT EXAMPLE
Box Plot Example. A box plot summarizes a distribution of quantitative values using a set of summary statistics. Here, the boxes show the interquartile range (IQR), with the white bar indicating the median value. The thin lines (“whiskers”) currently show the extent of the minimum and maximum values; other values, such as whiskers extending 1.5 * IQR from each end of the box, are often A HIGH-LEVEL GRAMMAR OF INTERACTIVE GRAPHICS Vega-Lite is a high-level grammar of interactive graphics. It provides a concise, declarative JSON syntax to create an expressive range of visualizations for data analysis and presentation. Vega-Lite specifications describe visualizations as encoding mappings from data to properties of graphical marks (e.g., points or bars). The Vega-Lite compiler automatically produces visualizationTRANSFORMS | VEGA
Vega - A Visualization Grammar. Vega is a visualization grammar, a declarative format for creating, saving, and sharing interactive visualization designs. With Vega, you can describe the visual appearance and interactive behavior of a visualization in a JSON format, and generate web-based views using Canvas orVEGA DATASETS
Get the URLs or Data via URL. npm i vega-datasets. Now you can import data = require ('vega-datasets') and access the URLs of any dataset with data .url. data () returns a promise that resolves to the actual data fetched from the URL. We use d3-dsv to parse CSVfiles.
DATA | VEGA-LITE
Vega-Lite - a high-level grammar for statistical graphics. Vega-Lite provides a higher-level grammar for visual analysis, comparable to ggplot or Tableau, that generates complete Vega specifications. Vega-Lite specifications consist of simple mappings of variables in a data set to visual encoding channels such as x, y, color, and size. These mappings are then translated into detailedLEGENDS | VEGA
Vega - A Visualization Grammar. Vega is a visualization grammar, a declarative format for creating, saving, and sharing interactive visualization designs. With Vega, you can describe the visual appearance and interactive behavior of a visualization in a JSON format, and generate web-based views using Canvas orMARKS | VEGA
Vega - A Visualization Grammar. Vega is a visualization grammar, a declarative format for creating, saving, and sharing interactive visualization designs. With Vega, you can describe the visual appearance and interactive behavior of a visualization in a JSON format, and generate web-based views using Canvas orFILTER TRANSFORM
Filter Expression. For an expression string, each datum object can be referred using bound variable datum.For example, setting filter to "datum.b2 > 60" would make the output data includes only items that have values in the field b2 over 60.. Field Predicate. For a field predicate, a field must be provided along with one of the predicate properties: equal, lt (less than), lte (less than orBAR | VEGA-LITE
Vega-Lite - a high-level grammar for statistical graphics. Vega-Lite provides a higher-level grammar for visual analysis, comparable to ggplot or Tableau, that generates complete Vega specifications. Vega-Lite specifications consist of simple mappings of variables in a data set to visual encoding channels such as x, y, color, and size. These mappings are then translated into detailedDEBUGGING GUIDE
Vega - A Visualization Grammar. Vega is a visualization grammar, a declarative format for creating, saving, and sharing interactive visualization designs. With Vega, you can describe the visual appearance and interactive behavior of a visualization in a JSON format, and generate web-based views using Canvas orBOX PLOT EXAMPLE
Box Plot Example. A box plot summarizes a distribution of quantitative values using a set of summary statistics. Here, the boxes show the interquartile range (IQR), with the white bar indicating the median value. The thin lines (“whiskers”) currently show the extent of the minimum and maximum values; other values, such as whiskers extending 1.5 * IQR from each end of the box, are often A HIGH-LEVEL GRAMMAR OF INTERACTIVE GRAPHICS Vega-Lite is a high-level grammar of interactive graphics. It provides a concise, declarative JSON syntax to create an expressive range of visualizations for data analysis and presentation. Vega-Lite specifications describe visualizations as encoding mappings from data to properties of graphical marks (e.g., points or bars). The Vega-Lite compiler automatically produces visualizationVEGA-LITE: DATA
Vega-Lite - a high-level grammar for statistical graphics. Vega-Lite provides a higher-level grammar for visual analysis, comparable to ggplot or Tableau, that generates complete Vega specifications. Vega-Lite specifications consist of simple mappings of variables in a data set to visual encoding channels such as x, y, color, and size. These mappings are then translated into detailed TRANSFORMS | VEGASEE MORE ON VEGA.GITHUB.IO SCALES | VEGASCALE PROPERTIESSCALE TYPESSCALE DOMAINSSCALE RANGESSEE MORE ON VEGA.GITHUB.IO MARKS | VEGASEE MORE ON VEGA.GITHUB.IO DATA | VEGA-LITETYPES OF DATA SOURCESFORMATDATA GENERATORSDATASETSSEE MORE ON VEGA.GITHUB.IO INTERACTIVE PLOTS WITH SELECTIONS Vega-Lite - a high-level grammar for statistical graphics. Vega-Lite provides a higher-level grammar for visual analysis, comparable to ggplot or Tableau, that generates complete Vega specifications. Vega-Lite specifications consist of simple mappings of variables in a data set to visual encoding channels such as x, y, color, and size. These mappings are then translated into detailedLINE MARK | VEGA
Line Mark. Line marks are stroked paths with constant width, defined by an ordered set of (x, y) coordinates. While line marks default to using straight line segments, different interpolation methods can be used to create smoothed or stepped paths. Line marks are commonly used to depict trajectories or change over time.JOIN AGGREGATE
Vega-Lite - a high-level grammar for statistical graphics. Vega-Lite provides a higher-level grammar for visual analysis, comparable to ggplot or Tableau, that generates complete Vega specifications. Vega-Lite specifications consist of simple mappings of variables in a data set to visual encoding channels such as x, y, color, and size. These mappings are then translated into detailedTRANSFORMATION
Transformation. Data transformations in Vega-Lite are described via either view-level transforms (the transform property) or field transforms inside encoding ( bin, timeUnit, aggregate, sort, and stack ). When both types of transforms are specified, the view-leveltransform s are
A HIGH-LEVEL GRAMMAR OF INTERACTIVE GRAPHICS Vega-Lite is a high-level grammar of interactive graphics. It provides a concise, declarative JSON syntax to create an expressive range of visualizations for data analysis and presentation. Vega-Lite specifications describe visualizations as encoding mappings from data to properties of graphical marks (e.g., points or bars). The Vega-Lite compiler automatically produces visualizationVEGA-LITE: DATA
Vega-Lite - a high-level grammar for statistical graphics. Vega-Lite provides a higher-level grammar for visual analysis, comparable to ggplot or Tableau, that generates complete Vega specifications. Vega-Lite specifications consist of simple mappings of variables in a data set to visual encoding channels such as x, y, color, and size. These mappings are then translated into detailed TRANSFORMS | VEGASEE MORE ON VEGA.GITHUB.IO SCALES | VEGASCALE PROPERTIESSCALE TYPESSCALE DOMAINSSCALE RANGESSEE MORE ON VEGA.GITHUB.IO MARKS | VEGASEE MORE ON VEGA.GITHUB.IO DATA | VEGA-LITETYPES OF DATA SOURCESFORMATDATA GENERATORSDATASETSSEE MORE ON VEGA.GITHUB.IO INTERACTIVE PLOTS WITH SELECTIONS Vega-Lite - a high-level grammar for statistical graphics. Vega-Lite provides a higher-level grammar for visual analysis, comparable to ggplot or Tableau, that generates complete Vega specifications. Vega-Lite specifications consist of simple mappings of variables in a data set to visual encoding channels such as x, y, color, and size. These mappings are then translated into detailedLINE MARK | VEGA
Line Mark. Line marks are stroked paths with constant width, defined by an ordered set of (x, y) coordinates. While line marks default to using straight line segments, different interpolation methods can be used to create smoothed or stepped paths. Line marks are commonly used to depict trajectories or change over time.JOIN AGGREGATE
Vega-Lite - a high-level grammar for statistical graphics. Vega-Lite provides a higher-level grammar for visual analysis, comparable to ggplot or Tableau, that generates complete Vega specifications. Vega-Lite specifications consist of simple mappings of variables in a data set to visual encoding channels such as x, y, color, and size. These mappings are then translated into detailedTRANSFORMATION
Transformation. Data transformations in Vega-Lite are described via either view-level transforms (the transform property) or field transforms inside encoding ( bin, timeUnit, aggregate, sort, and stack ). When both types of transforms are specified, the view-leveltransform s are
SCALES | VEGA
Vega - A Visualization Grammar. Vega is a visualization grammar, a declarative format for creating, saving, and sharing interactive visualization designs. With Vega, you can describe the visual appearance and interactive behavior of a visualization in a JSON format, and generate web-based views using Canvas orMARKS | VEGA
Vega - A Visualization Grammar. Vega is a visualization grammar, a declarative format for creating, saving, and sharing interactive visualization designs. With Vega, you can describe the visual appearance and interactive behavior of a visualization in a JSON format, and generate web-based views using Canvas or INTERACTIVE PLOTS WITH SELECTIONS Vega-Lite - a high-level grammar for statistical graphics. Vega-Lite provides a higher-level grammar for visual analysis, comparable to ggplot or Tableau, that generates complete Vega specifications. Vega-Lite specifications consist of simple mappings of variables in a data set to visual encoding channels such as x, y, color, and size. These mappings are then translated into detailedDATA | VEGA-LITE
Vega-Lite - a high-level grammar for statistical graphics. Vega-Lite provides a higher-level grammar for visual analysis, comparable to ggplot or Tableau, that generates complete Vega specifications. Vega-Lite specifications consist of simple mappings of variables in a data set to visual encoding channels such as x, y, color, and size. These mappings are then translated into detailedLEGENDS | VEGA
Vega - A Visualization Grammar. Vega is a visualization grammar, a declarative format for creating, saving, and sharing interactive visualization designs. With Vega, you can describe the visual appearance and interactive behavior of a visualization in a JSON format, and generate web-based views using Canvas orSIGNALS | VEGA
Vega - A Visualization Grammar. Vega is a visualization grammar, a declarative format for creating, saving, and sharing interactive visualization designs. With Vega, you can describe the visual appearance and interactive behavior of a visualization in a JSON format, and generate web-based views using Canvas orLINE MARK | VEGA
Line Mark. Line marks are stroked paths with constant width, defined by an ordered set of (x, y) coordinates. While line marks default to using straight line segments, different interpolation methods can be used to create smoothed or stepped paths. Line marks are commonly used to depict trajectories or change over time.FILTER TRANSFORM
Filter Expression. For an expression string, each datum object can be referred using bound variable datum.For example, setting filter to "datum.b2 > 60" would make the output data includes only items that have values in the field b2 over 60.. Field Predicate. For a field predicate, a field must be provided along with one of the predicate properties: equal, lt (less than), lte (less than orLINE CHART EXAMPLE
Line Chart Example. Line charts are used to depict changing values, with line slopes conveying rates of change. Different interpolators change the curvature of the line. Options such as cardinal or Catmull-Rom interpolation can produce pleasing curves, but can also “hallucinate” maximum or minimum values that do not exist in thedata.
LINE CHART WITH VARYING STROKE DASH Line chart with varying stroke dash. Stock prices of 5 Tech Companies over Time. 2000 2002 2004 2006 2008 2010 date 0 200 400 600 800 price AAPL AMZN GOOG IBM MSFT symbol.Vega & Vega-Lite
Visualization Grammars Vega is a declarative format for creating, saving, and sharing visualization designs. With Vega, visualizations are described in JSON, and generate interactive views using either HTML5 Canvas or SVG.Toolkits
Vega is a visualization grammar, a declarative language for creating, saving, and sharing interactive visualization designs. With Vega, you can describe the visual appearance and interactive behavior of a visualization in a JSON format, and generate web-based views using Canvas or SVG.Examples | Docs
| Tutorials
| Online Editor
| GitHub
Vega-Lite is a high-level visualization grammar. It provides a concise JSON syntax for supporting rapid generation of visualizations to support analysis. Vega-Lite support interactive multi-view graphics. Specifications can be compiled to Vega.Examples | Docs
| Tutorials
|
Online Editor |
GitHub
Systems
Lyra is an interactive environment that enables custom visualization design. Without writing any code, designers can create visualizations on-par with hand-codedD3 and Processing.
Online App |
Examples |
Documentation | GitHub Voyager is a visualization interface for data exploration. It provides an interface for specifying Vega-Lite specification, with chart recommendation powered by the Compass visualization recommender engine. Online App | GitHub Compassql is a visualization recommendation engine. Given user query, it suggests visualizations, ranked by both data properties and perceptual principles.GitHub
Utilities
Datalib is a JavaScript data utility library. It provides facilities for data loading, type inference, common statistics, and string templates. This is a standalone library useful for data-driven JavaScript applications on both the client (web browser) and server (e.g., node.js). Vega's 3rd Party Integration The MediaWiki Graph extensionallows you to
embed Vega visualizations on MediaWiki sites, including Wikipedia. Vega-Lite's 3rd Party Integration Check out the list of applications on the Vega-Lite website. Edit this page at github.com/vega/vega.github.io.
Details
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