- From: Fred Esch <fesch@us.ibm.com>
- Date: Wed, 19 Aug 2015 09:59:45 -0400
- To: <public-svg-a11y@w3.org>
- Message-Id: <201508191402.t7JE2ULA011523@d01av03.pok.ibm.com>
All,
I am starting this thread on the taxonomy and trying to explain how the
taxonomy will cover requirements for graphics accessibility. Please add
your concerns, issues and comments.
The taxonomy takes it's hierarchy from the Grammar of Graphics. The
taxonomy splits a chart into 3 aspects data, guides and facets (aka views,
diagrams) and uses roles to designate the aspect. By splitting the chart
this way, any visualization can be described using the taxonomy. Well known
chart features are subclassed from their parent aspect. Subclassing is a
recognition that users recognize the feature by it's role and may have a
name for the feature/role. For instance, axis is a well known scale feature
in a chart. The taxonomy leaves lesser known uses, using the parent role
and leaves any explanation to the author through aria properties or a title
or desc child; keeping the taxonomy compact.
Charts are very diverse and it is not always possible to know how features
relate to each other without author guidance. Authors can distinguish
between compound objects and two objects with the same role using the
aria-gtype property. For instance axes can be configured in several ways in
a chart and without author guidance it would not be possible to know the
actual usage. Here are cases of multiple objects with an axis role:
The axis line and tick marks are drawn before the scatter plot points.
The axis label and title are in a different group element and drawn
after the scatter plot points, but because of (legacy) drawing order the
two groups with the role axis are part of the same object.
There are two y axes on the chart. The y axis on the left is in meters,
the y axis on the right is in feet.
There are multiple sets of x axes (with the same y coordinate), because
the clustered axes are repeated for every cluster
There are multiple sets of x axes (with different y coordinates) because
the chart is clustered and the nested axes are shown.
There is an radial axis at 45 degrees and an axis around the outer
circle in a chart that uses polar coordinates.
A panelled bar chart with paneling by sex and geographic region has axes
on each panels chart and axes for sex and geographic region.
Without author guidance, there would be no way to know which objects with
role axis should be treated as a single axis vs different axes. Author
guidance is also needed for AT to convey what the differences between axes
objects are. Using aria-gtype and appropriate aria/title/desc the author
can guide the user through the axes.
Data
The data aspect are for things that represent data in the chart - the
scatter plot points, bars, columns, box and whiskers, areas, lines, paths
and polygons. The data aspect is split into a group and item roles. There
are a couple of proposed subclasses for the item role.
Guides
Guides are the non data things that are there to help a user read and
interpret the chart. Scales, a subclass of guides are used for measuring.
There are are several subclasses of scales in the taxonomy and we could add
many more domain specific scales. Annotations are another subclass of
guides.
Facets (aka views or diagrams)
The grammar of graphics uses the term facets, but some domains such as
technical drawing uses the more understandable term view. In the Graphics
Module we use the term diagram. A view represents an area of the graphics
that serves a specific purpose and could stand on its own. Strictly
speaking, a facet is about splitting data into subsets and drawing a chart
for each subset. An example is splitting the results of a survey by male
and female respondents. Each chart for each subset can stand on its own.
With paneled charts, you can make a matrix of charts when you facet by two
categorical variables. You can also facet by geographic place and place the
chart at the center of the geographic place. For example, you can make bar
charts for unemployment for each US state and place each bar chart within
the state. Paneled charts they often have an axis for each panel dimension.
Requirements and best practices
While it may seem like each chart type makes new requirements for reporting
information, in reality they do not. The requirements and best practices
for all charts are given below.
The primary requirements are to present the data, guides and views to
the user and allow them to visit and investigate them in a logical
order.
Providing summary information should be a best practice For instance,
axes should report information about the range they cover or the number
of categories. A categorical axes should have a list of categories that
may be read by the user. The data group object should provide a data
summary such as the data range within the group and possibly point out
which are the highest and lowest valued items. Stack object in stacked
bar charts should provide the sum (total height) of the stack. And so
on.
Data items should contain their values for visible
dimensions/aesthetics.
Views should be identified and visitable and their children visitable.
Panel axes should be visitable.
When connectors and edge roles are part of SVG, relationships in
node/edge graphs should be available and moving focus based on
relationship possible. Much like aria-flowto works.
Regards, Fred
Fred Esch
Accessibility Focal, Watson Solutions
AARB Complex Visualization Working Group
Chair
W3C SVG Accessibility Task Force
IBM Watson
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<html><body><p>All,<br><br>I am starting this thread on the taxonomy and trying to explain how the taxonomy will cover requirements for graphics accessibility. Please add your concerns, issues and comments.<br><br>The taxonomy takes it's hierarchy from the Grammar of Graphics. The taxonomy splits a chart into 3 aspects data, guides and facets (aka views, diagrams) and uses roles to designate the aspect. By splitting the chart this way, any visualization can be described using the taxonomy. Well known chart features are subclassed from their parent aspect. Subclassing is a recognition that users recognize the feature by it's role and may have a name for the feature/role. For instance, axis is a well known scale feature in a chart. The taxonomy leaves lesser known uses, using the parent role and leaves any explanation to the author through aria properties or a title or desc child; keeping the taxonomy compact.<br><br>Charts are very diverse and it is not always possible to know how features relate to each other without author guidance. Authors can distinguish between compound objects and two objects with the same role using the <b>aria-gtype</b> property. For instance axes can be configured in several ways in a chart and without author guidance it would not be possible to know the actual usage. Here are cases of multiple objects with an axis role:
<ol type="1"><li>The axis line and tick marks are drawn before the scatter plot points. The axis label and title are in a different group element and drawn after the scatter plot points, but because of (legacy) drawing order the two groups with the role axis are part of the same object.
<li>There are two y axes on the chart. The y axis on the left is in meters, the y axis on the right is in feet.
<li>There are multiple sets of x axes (with the same y coordinate), because the clustered axes are repeated for every cluster
<li>There are multiple sets of x axes (with different y coordinates) because the chart is clustered and the nested axes are shown.
<li>There is an radial axis at 45 degrees and an axis around the outer circle in a chart that uses polar coordinates.
<li>A panelled bar chart with paneling by sex and geographic region has axes on each panels chart and axes for sex and geographic region.<br></ol><br>Without author guidance, there would be no way to know which objects with role axis should be treated as a single axis vs different axes. Author guidance is also needed for AT to convey what the differences between axes objects are. Using aria-gtype and appropriate aria/title/desc the author can guide the user through the axes.<br><br><b>Data</b> <br>The data aspect are for things that represent data in the chart - the scatter plot points, bars, columns, box and whiskers, areas, lines, paths and polygons. The data aspect is split into a group and item roles. There are a couple of proposed subclasses for the item role. <br><br><b>Guides</b><br>Guides are the non data things that are there to help a user read and interpret the chart. Scales, a subclass of guides are used for measuring. There are are several subclasses of scales in the taxonomy and we could add many more domain specific scales. Annotations are another subclass of guides.<br><br><b>Facets (aka views or diagrams)</b><br>The grammar of graphics uses the term facets, but some domains such as technical drawing uses the more understandable term view. In the Graphics Module we use the term diagram. A view represents an area of the graphics that serves a specific purpose and could stand on its own. Strictly speaking, a facet is about splitting data into subsets and drawing a chart for each subset. An example is splitting the results of a survey by male and female respondents. Each chart for each subset can stand on its own. With paneled charts, you can make a matrix of charts when you facet by two categorical variables. You can also facet by geographic place and place the chart at the center of the geographic place. For example, you can make bar charts for unemployment for each US state and place each bar chart within the state. Paneled charts they often have an axis for each panel dimension. <br><br><b>Requirement</b><b>s</b><b> and best practices</b><br>While it may seem like each chart type makes new requirements for reporting information, in reality they do not. The requirements and best practices for all charts are given below.<br>
<ol type="1"><li>The primary requirements are to present the data, guides and views to the user and allow them to visit and investigate them in a logical order.
<li><b>Providing summary information should be a best practice </b>For instance, axes should report information about the range they cover or the number of categories. A categorical axes should have a list of categories that may be read by the user. The data group object should provide a data summary such as the data range within the group and possibly point out which are the highest and lowest valued items. Stack object in stacked bar charts should provide the sum (total height) of the stack. And so on.
<li>Data items should contain their values for visible dimensions/aesthetics.
<li>Views should be identified and visitable and their children visitable. Panel axes should be visitable.
<li>When connectors and edge roles are part of SVG, relationships in node/edge graphs should be available and moving focus based on relationship possible. Much like aria-flowto works.</ol>
<table border="0" cellspacing="0" cellpadding="0"><tr valign="top"><td width="341" valign="bottom"><div align="center"><font size="4">Regards, <br><br>Fred Esch <br>Accessibility Focal, Watson Solutions<br>AARB Complex Visualization Working Group Chair<br>W3C SVG Accessibility Task Force <br></font><img src="cid:1__=8FBBF436DFE38F9F8f9e8a93df938690918c8FB@" width="163" height="23" alt="IBM Watson"></div></td><td width="100" valign="bottom"><img src="cid:2__=8FBBF436DFE38F9F8f9e8a93df938690918c8FB@" width="115" height="115" alt="Fred" align="bottom"></td></tr></table><br><BR>
</body></html>
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--0__BBF436DFE38F9F8f9e8a93df938690918c8FBBF436DFE38F9F--
Received on Wednesday, 19 August 2015 14:03:08 UTC