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Understanding Graphics
Design For The Human Mind
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Guidelines for Designing Tables
in Visual Design
Although no one single visual display is most effective for presenting quantitative data,
tables are often an ideal choice when you need to present specific values. Information place
within a grid framework and aesthetically designed for ease of use provides an efficient wafor people to look up and compare data. Although we think of table data as typically
numeric, values may also be presented as words.
Whats going on up there?
Step inside the mind of someone reading a table and youll find theres a lot of processing
going on. So prior to embarking on the design, consider some of the mental tasks people
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might engage in when reading a table.
Reading headings: To read a table, users skim or read the column and row headings
Global scanning: Users might scan the whole table to get a sense of its structure,
organization and complexity.
Visual search: To locate data, users scan across a row or down a column to the
intersecting cell that holds the value. Visual search is faster when users are familiarwith the tabular format, which provides a consistent structure for locating informatio
Information extraction: Upon locating the target data, users draw out the single fac
embedded in the table.
Comprehension: Users attempt to understand the values they extract from the table
light of their own knowledge.
Identifying groupings and trends: Users often mentally group data in similar
categories and look for trends. (Note: if the main purpose of the table is to spot trend
a line graph might be more useful.)
Comparison: Users will compare data and seek patterns.
Inference: Users will attempt to understand the data on a deeper level by drawing
conclusions.
Interpretation: Users may draw from their own body of knowledge to give meaning
to the data.
Recall: Users may need to remember the information in the table and use this
information when the table is not at hand.
Decisions: Users may need to make decisions from their interpretation of the data.
What affects table usability?
A persons ability to quickly make use of table data is influenced by his or her familiarity
with the tabular format, the complexity of the data and how well the table design matches it
purpose.
According to a brilliant article from 1977,Rudiments of Numeracy, the author states that th
criterion for a good table is that, the patterns and exceptions should be obvious at a glance
at least once one knows what they are. (Ehrenberg) The point being that reading a table is
repetitive task, and that an effective design allows people to clearly see the data as they
become familiar with it. Understanding the data means a person is seeing how the numbers
relate to each other.
Design Guidelines
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Once youve identified the message that the data should communicate, the purpose of the
table and the mental processes involved, consider which guidelines below will make your
design most effective.
1. Meet the audiences expectations
The more familiar users are with a table grid, the faster they can search it to extract the data
Meet the expectations of the audience by sticking to the conventions they expect, which are
defined by the purpose of the table. For example, a table in a newspaper daily might includ
design flourishes one would never expect in a table for an annual report.
2. Order data to match the purpose of the table
Structure and arrange the data to facilitate how it will be used. If the purpose of a table is to
compare the population centers in a country, then organize the data from largest to smallestrather than alphabetically by city. If the purpose is to show the increase in college costs ove
a decade, then arrange the data by time.
3. Remove clutter
To enable quick scanning, focus on the most important data and remove all extraneous
information. Avoid clutter around the body of the table.
4. Create a visual hierarchy
Use typography to create emphasis and to guide the readers eye. For example, headings ca
be larger or in bold type and highlights can provide emphasis. Visual cues can make a table
easier to read so readers know whats most important.
5. Round the numbers in most cases
Populating a table with rounded integers makes it easier to read and to spot trends. Thoughthis may not be appropriate for scientific data provided to experts, many tables are created
for the general public who dont need detailed accuracy. Consider how the numbers will be
used to determine whether rounding makes sense. Statistician, Howard Wainer, recommend
using no more than one decimal place in most cases.
6. Perform computations for users
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When possible, dont ask users to perform arithmetic computations or mental
transformations with the data. Instead, do this for them by providing summary information
an additional row or column, such as total and averages. This facilitates quicker
comprehension and interpretation.
7. Guarantee a consistent look
When searching for information in a table, users expect the information to be displayed in a
consistent manner. You can ensure there is consistency in the typeface of similar elements,
the alignment of similar data and in the emphasis of elements, such as column headings.
8. Align with logic
Intelligent use of alignment makes a table easier to read. Align all numbers, commas and
decimal points with each other. Structure the table so it is clear that the data is aligned withheadings and the grid in general.
9. Use high contrast
To increase legibility, provide sufficient contrast between foreground and background. Thi
can be an issue with table data if the rows or columns are shaded.
10. Reduce the number of columns
Due to the small size of visual memory and the difficulty of searching through complex
information, reduce the number of columns when possible. If necessary, divide the table in
two.
11. Make it easy to compare numbers
Side by side comparisons seem to be easier for people to make than above-below
comparisons. In light of this, construct your tables so users will compare data betweencolumns. In addition, the eye can run down a column rather quickly, but many people use
their finger as a guide to read across rows.
12. Group similar data
If you can organize the data into subgroups and subcategories without altering the purpose
the table, this can improve search and make it easy to compare similar data.
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13. Make effective use of the grid
Use the grid to guide the eye in the appropriate direction and to improve legibility. For an
unobtrusive look, hide grid lines or display them as a subtle element. On the other hand, use
strong grid lines when the information is complex. To draw the eye across the row, avoid
vertical column lines or keep them subdued and use alternate bands of quiet color across
rows to improve legibility.
14. Highlight the most important values
Consider highlighting specific values to emphasize your message by drawing a box around
the data or highlighting in a contrasting color.
15. Provide a brief verbal commentary
If a subject matter expert is handy (or if you are the expert), provide one or two sentences t
explain the main message of the table. This will hasten the readers understanding of the
data.
16. Love that white space
Use white space between rows and columns, around headings, titles, labels and explanation
White space makes a table easier to read.
17. Use labels to provide meaning
Labels are your opportunity to improve comprehension. Think through how the table will b
used and the audiences familiarity with the content and choose labels accordingly.
18. Manage headings
To avoid using little known abbreviations and acronyms that readers wont understand, you
may have to work your headings into submission. Consider spreading them over two or thr
lines or include heading detail in a footnote.
Conclusion
The lowly table is actually quite remarkable. It takes unwieldy data and compacts it into an
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organized structure. The designer then transforms this data into something meaningful that
people can read and use. Why, its almost magical.
Resources
Here are some resources you may find useful for table design.Show Me The Numbers by Stephen Few
Picturing the Uncertain World by Howard Wainer
The Visual Display of Quantitative Information by Edward Tufte
References:
Ehrenberg, A.S.C. (1977). Rudiments of Numeracy.Journal of the Royal Statistical Society
Series A, 277-297.
Related Articles:Visual Display Tips
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Tagged as: tables
{ 8 trackbacks }
links for 2010-08-24 Ksznjk, Emese!
August 2010 at 7:12 am
!"#$%&'()*+,-.(%*-/$', -'01&. 2010 2%*34(.%$'. 5%$(6.*%$'-7*(*7.(%8(3&$'
19%-'/(7*(9%$(6.-,*
September 2010 at 2:11 am
!"#$%&'()*+,-.(%*-/$', -'01&. 2010 UI Warehouse
September 2010 at 5:32 am
:.*9$/;#$'-.(/;&6*(*7.(%8(3&< / !"#$%&'()*+,-.(%*-/$', -'01&. 2010September 2010 at 3:07 am
!"#$%&'()*+,-.(%*-/$', -'01&. 2010 UIFlow
February 2011 at 9:19 am
|
March 2011 at 6:16 am
Which graphic should I use?: Instructional Design and eLearning: Tips, Advice and Review
April 2011 at 7:43 pm
http://theelearningcoach.com/media/graphics/which-graphic-should-i-use/http://www.biaodianfu.com/guidelines-for-designing-tables.htmlhttp://uiflow.ru/2010/09/13/%d0%be%d0%b1%d0%b7%d0%be%d1%80-%d1%81%d0%b2%d0%b5%d0%b6%d0%b8%d1%85-%d0%bc%d0%b0%d1%82%d0%b5%d1%80%d0%b8%d0%b0%d0%bb%d0%be%d0%b2-%d0%b0%d0%b2%d0%b3%d1%83%d1%81%d1%82-2010/http://tuti.tam.ru/2010/09/14/%d1%8d%d1%82%d0%b8-%d0%bf%d0%be%d0%bb%d1%8c%d0%b7%d0%be%d0%b2%d0%b0%d1%82%d0%b5%d0%bb%d1%8c%d1%81%d0%ba%d0%b8%d0%b5-%d0%b8%d0%bd%d1%82%d0%b5%d1%80%d1%84%d0%b5%d0%b9%d1%81http://uiwarehouse.wordpress.com/2010/09/13/%d0%be%d0%b1%d0%b7%d0%be%d1%80-%d1%81%d0%b2%d0%b5%d0%b6%d0%b8%d1%85-%d0%bc%d0%b0%d1%82%d0%b5%d1%80%d0%b8%d0%b0%d0%bb%d0%be%d0%b2-%d0%b0%d0%b2%d0%b3%d1%83%d1http://www.jvetrau.com/2010/09/13/digest-2010-august/http://koszonjukemese.wordpress.com/2010/08/24/links-for-2010-08-24/http://understandinggraphics.com/tag/tables/http://understandinggraphics.com/visualizations/information-display-tips/http://understandinggraphics.com/recs/visual-display.htmlhttp://understandinggraphics.com/recs/picturing-uncertain-world.htmlhttp://understandinggraphics.com/recs/show-me-the-numbers.html7/28/2019 Designing Data Tables
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WYSIWYM (what you see is what you map) Dave's Whiteboard | Dave's Whiteboard
November 2012 at 8:21 am
{ 9 comments read them below or add one }
menz August 2010 at 8:25 am
Very good tips, thanks. It would be great if you had added some visuals to convey th
tips clearly
cmalamed August 2010 at 8:32 am
Youre right, Menz. Roger Atrill was kind enough to illustrate these. Data TableExamples
Nige August 2010 at 6:48 am
Excellent Connie. Thanks for putting all that info down in a logical, cohesive manne
and easy to visualise almost Table-like!
cmalamed August 2010 at 10:29 am
Thanks, Nigel. I like your analogy.
DiSeptember 2010 at 1:44 pm
Thats really great, but can you show some examples of those perfect tables?
cmalamed September 2010 at 5:37 pm
Youre right, Di, it would be best to show examples. See the link above (or below).
http://understandinggraphics.com/design/data-table-design/#comment-509http://understandinggraphics.com/design/data-table-design/#comment-508http://sky2high.net/http://sky2high.net/http://understandinggraphics.com/design/data-table-design/#comment-481http://understandinggraphics.com/design/data-table-design/#comment-480http://www.behance.net/gallery/Designing-Effective-Data-Tables/885004http://understandinggraphics.com/design/data-table-design/#comment-473http://understandinggraphics.com/design/data-table-design/#comment-472http://understandinggraphics.com/design/data-table-design/#respondhttp://www.daveswhiteboard.com/archives/52687/28/2019 Designing Data Tables
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Roger AttrillDecember 2010 at 4:25 am
I have created some examples of how to (and how not to) create effective tables and
have written further accompanying text based on the 18 headings above.
You can view this here:
http://www.behance.net/gallery/Designing-Effective-Data-Tables/885004
I hope this helps someone create effective tables that improve their users experience
Regards
Roger
Sally BigwoodMarch 2011 at 3:22 pm
This is a clear, useful summary of Ehrenbergs principles and I am pleased someone
promoting his ideas.
One of the most common misconceptions is that graphs are the most effective way of
displaying data. Amongst other place, see this DataViz webpage:
http://www.improving-visualisation.org/visuals
Of course, its just tools for the job sometimes graphs (particularly line graphs)
communicate the data with ease. More often than not, a table does the job better.
Many thanks for the excellent article. Sally
cmalamed March 2011 at 4:04 pm
Thanks for your input, Sally. And for the resource. I hope everyone will check it out
Connie
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