Librarian View
LEADER 03462cam a2200457 i 4500
001
991000799589707546
005
20230417143829.0
008
210512s2020 caua b 001 0 eng c
010
a| 2018058818
020
a| 9781544350882
q| (paperback
q| alkaline paper)
035
a| (HKSYU)b21226283-852hksyu_inst
035
a| (OCoLC)1081338823
040
a| LBSOR/DLC
b| eng
e| rda
c| DLC
d| OCLCO
d| OCLCF
d| YDX
d| BDP
d| YDX
d| OCLCQ
d| TOH
d| P4A
d| OCLCQ
d| UAB
d| H2K
d| HK-SYU
042
a| pcc
050
4
a| P93.5
b| .E937 2020
082
0
0
a| 302.23
2| 23
092
0
a| 302.23
b| EVE 2020
100
1
a| Evergreen, Stephanie D. H.,
e| author.
245
1
0
a| Effective data visualization :
b| the right chart for the right data /
c| Stephanie D.H. Evergreen.
246
3
0
a| Right chart for the right data
250
a| Second edition.
264
1
a| Thousand Oaks, California :
b| SAGE Publications, Inc.,
c| [2020]
264
4
c| ©2020
300
a| xix, 328 pages :
b| illustrations ;
c| 24 cm
336
a| text
b| txt
2| rdacontent
337
a| unmediated
b| n
2| rdamedia
338
a| volume
b| nc
2| rdacarrier
500
a| "Written by sought-after speaker, designer, and researcher Stephanie D.H. Evergreen, Effective Data Visualization shows readers how to create Excel charts and graphs that best communicate data findings. This comprehensive how-to guide functions as a set of blueprints--supported by research and the author's extensive experience with clients in industries all over the world--for conveying data in an impactful way. Delivered in Evergreen's humorous and approachable style, the book covers the spectrum of graph types available beyond the default options, how to determine which one most appropriately fits specific data stories, and easy steps for making the chosen graph in Excel. New to the Second Edition is a completely re-written chapter on qualitative data; inclusion of 9 new quantitative graph types; new shortcuts in Excel; and entirely new chapter on Sharing Your Data with the World which includes advice on using dashboards; and lots of new examples throughout. The Second Edition is also presented in full color"--Provided by publisher.
504
a| Includes bibliographical references and index.
505
0
a| Our backbone : why we visualize -- When a single number is important : showing mean, frequency, and measures of variability -- How two or more numbers are alike or different : visualizing comparisons -- How we are better or worse than a benchmark : displaying relative performance -- What the survey says : showing likert, ranking, check-all-that-apply, and more -- When there are parts of a whole : visualizing beyond the pie chart -- How this thing changes when that thing does : communicating correlation and regression -- When the words have the meaning : visualizing qualitative data -- How things changed over time : depicting trends -- Sharing your data with the world -- It's about more than the buttons.
650
0
a| Visual communication.
650
0
a| Charts, diagrams, etc.
650
0
a| Presentation graphics software.
650
0
a| Graphic design (Typography)
650
0
a| Information visualization.
907
a| b21226283
b| 08-01-22
c| 12-05-21
910
a| nlw
b| mkl
935
a| (HK-SYU)501035857
9| ExL
998
a| book
b| 11-11-21
c| m
d| a
e| -
f| eng
g| cau
h| 0
i| 0
945
h| Principal
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f| bookplate
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n| ADS250
945
h| Principal
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