Conveying meaning in data quickly is the focal point of analytics. Visual analytics helps you discover new relationships in data, prompts you to ask new questions, and helps you convey what you see to others.
• Understand how to make sense of vast data quickly
• Elicit questions you did not ask before
• Using visualizations to discover new data relationships
• Learn how data visualization can help identify hidden insights in data
• Explore various visualizations hand-picked by experts
8. Which industry do you work in?
• Retail and Consumer Packaged
Goods
• Health Care
• Banking, Financial Services and
Insurance
• Information Technology /
Consulting/Others
cs@perceptive-analytics.com 646.583.0001 #VIZ 9
9. Which Function Do You Work In?
• Analytics
• BI
• Sales and Marketing
• IT
• Finance/Operations / Human
Resources
cs@perceptive-analytics.com 646.583.0001 #VIZ 10
11. The Need for Visualizations
cs@perceptive-analytics.com 646.583.0001 #VIZ
12. Our Needs Outgrew Charts
More data!
high dimensional
ˠ
cs@perceptive-analytics.com 646.583.0001 #VIZ
13. Humans are Visual
Brain can absorb large amounts of information
and find patterns (and deviations!)
PicbyDanFoy
cs@perceptive-analytics.com 646.583.0001 #VIZ
23. x y x y x y x y
10 8.04 10 9.14 10 7.46 8 6.58
8 6.95 8 8.14 8 6.77 8 5.76
13 7.58 13 8.74 13 12.74 8 7.71
9 8.81 9 8.77 9 7.11 8 8.84
11 8.33 11 9.26 11 7.81 8 8.47
14 9.96 14 8.1 14 8.84 8 7.04
6 7.24 6 6.13 6 6.08 8 5.25
4 4.26 4 3.1 4 5.39 19 12.5
12 10.84 12 9.13 12 8.15 8 5.56
7 4.82 7 7.26 7 6.42 8 7.91
5 5.68 5 4.74 5 5.73 8 6.89
Mean 9 7.5 9 7.5 9 7.5 9 7.5
Variance 11 4.122 11 4.122 11 4.122 11 4.122
Correlation
Linear Regression y = 3.00 + 0.500x y = 3.00 + 0.500x y = 3.00 + 0.500x y = 3.00 + 0.500x
Anscombe's Quartet
I II III IV
0.816 0.816 0.816 0.816
Anscombe’s Quartet
24. How are the Data Sets Different?
• All four data sets are identical
• Distribution is different
• Median and Mode could be different
• Not Sure
cs@perceptive-analytics.com 646.583.0001 #VIZ
26. Statistics and bikinis show a lot,
but not everything.
- Toby Harrah
American baseball player
cs@perceptive-analytics.com 646.583.0001 #VIZ
27. Where do Data Visualizations Fit
in Data Analytics Process?
cs@perceptive-analytics.com 646.583.0001 #VIZ
28. Acquire Data
Clean Data
Explore Data
Data
Modeling
Insights
Communicate
Where does Data Visualization Fit in Data Analytics
Process?
cs@perceptive-analytics.com 646.583.0001 #VIZ
30. Make Sense of Vast Data Quickly
cs@perceptive-analytics.com 646.583.0001 #VIZ
31. Make Sense of Vast Data Quickly
cs@perceptive-analytics.com 646.583.0001 #VIZ
32. Elicit Questions You Did Not Ask Before
cs@perceptive-analytics.com 646.583.0001 #VIZ
33. What should we do to
make India a land of equal
opportunity for all, free of
prejudice and
discrimination?
- Ratan Tata
cs@perceptive-analytics.com 646.583.0001 #VIZ
34. Sample Responses
• @RNTata2000 in all democracies there is a gap on what ple want and what
politicians r delivering,they r not doing the right thing, lobbying?
• @bangaarm @RNTata2000 Budget 2012: This year is Tax Holiday. No
income tax on your earnings. This is to bring back all the black money to
India
• @sri_v22 @RNTata2000 1. Kill corruption 2. Electoral reforms so that
honest ple can get into politics 3. Media & activists should increase their
role
• @joseaaa @RNTata2000 Can't be articulated with 140 characters. Quality
education for the masses is magic potion that can address most of the
problem.
• @dharmeshsharma8 @RNTata2000 Could we have your view on this
topic?
cs@perceptive-analytics.com 646.583.0001 #VIZ
35. Elicit Questions You Did Not Ask Before
cs@perceptive-analytics.com 646.583.0001 #VIZ
36. Discover New Data Relationships
cs@perceptive-analytics.com 646.583.0001 #VIZ
37. Discover New Data Relationships
cs@perceptive-analytics.com 646.583.0001 #VIZ
38. Show Others What You See
cs@perceptive-analytics.com 646.583.0001 #VIZ
46. Guidelines
• Understand your goals
• Determine the most important dimensions of
your data
• Determine key data relationships
• Show data close to reality e.g. maps, time lines
etc.
• Choose encoding wisely “Function first, suave
next”
• What questions do you want answered?
cs@perceptive-analytics.com 646.583.0001 #VIZ
51. What Do You Think About This Chart?
cs@perceptive-analytics.com 646.583.0001 #VIZ
52. What’s Wrong with this Chart?
• Too Big
• Poor colors
• Nothing wrong, looks good
• It’s just wrong
• No comment
cs@perceptive-analytics.com 646.583.0001 #VIZ 53
55. $450
$650
$850
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Monthly Revenue
470
900
700
550
800
600
473
610 600
300
500
450
$0
$200
$400
$600
$800
$1,000
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Monthly Revenue
ThousandsThousands