000 02599nam a22004335i 4500
001 978-0-387-77907-2
003 DE-He213
005 20140220083227.0
007 cr nn 008mamaa
008 111130s2012 xxu| s |||| 0|eng d
020 _a9780387779072
_9978-0-387-77907-2
024 7 _a10.1007/978-0-387-77907-2
_2doi
050 4 _aQA276-280
072 7 _aPBT
_2bicssc
072 7 _aMAT029000
_2bisacsh
082 0 4 _a519.5
_223
100 1 _aWills, Graham.
_eauthor.
245 1 0 _aVisualizing Time
_h[electronic resource] :
_bDesigning Graphical Representations for Statistical Data /
_cby Graham Wills.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2012.
300 _aXVI, 256p. 157 illus., 149 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStatistics and Computing,
_x1431-8784
505 0 _aHistory -- Framework -- Designing Visualizations -- Types of Data -- Time as a Coordinate -- Coordinate Systems, Transformations, Faceting, and Axes -- Aesthetics -- Transformations -- Interactivity -- Topics in Time -- Gallery of Figures.
520 _aArt, or Science? Which of these is the right way to think of the field of visualization? This is not an easy question to answer, even for those who have many years experience in making graphical depictions of data with a view to help people understand it and take action. In this book, Graham Wills bridges the gap between the art and the science of visually representing statistical data. He does not simply give rules and advice, but bases these on general principles and provides a clear path between them.   This book is concerned with the graphical representation of time data and is written to cover a range of different users. A visualization expert designing tools for displaying time will find it valuable, but so also should a financier assembling a report in a spreadsheet, or a medical researcher trying to display gene sequences using a commercial statistical package.
650 0 _aStatistics.
650 0 _aMathematical statistics.
650 1 4 _aStatistics.
650 2 4 _aStatistical Theory and Methods.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780387779065
830 0 _aStatistics and Computing,
_x1431-8784
856 4 0 _uhttp://dx.doi.org/10.1007/978-0-387-77907-2
912 _aZDB-2-SMA
999 _c100196
_d100196