MAKING BUSINESS INTELLIGENT www.pragmaticworks.com Visualizing Data with Microsoft Reporting Services Chris Price Senior BI Consultant @BluewaterSQL
Jan 19, 2015
MAKING BUSINESS INTELLIGENT www.pragmaticworks.com
Visualizing Data with Microsoft Reporting Services
Chris Price
Senior BI Consultant
@BluewaterSQL
MAKING BUSINESS INTELLIGENT www.pragmaticworks.com
Intro
Chris Price Senior BI Consultant with Pragmatic Works
Author, Regular Speaker, Data Geek & Super Dad!
@BluewaterSQL
http://bluewatersql.wordpress.com/
MAKING BUSINESS INTELLIGENT www.pragmaticworks.com
Outline
Data Visualization: Art & Science
Reporting Services
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Data Visualization
A part of the Information Design space:
Make complex information easier to understand and use
Part art, part science to prepare information so our brains can efficiently & effectively process it
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Data Visualization
9046385743
(904) 638-5743
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Example: Before
What does this data/information say to you?
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Example: After
Flat Trend
Trending Up Quarterly Cyclical Pattern
Exception
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Data Visualization
Why data visualization?
Human beings are pattern seekers
Visual Perception
Cognition
70% of all sense receptors are in your eyes
Your eye and brain are a powerful high-bandwidth, massive parallel processor
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Whose Who Edward Tufte Statistician & Professor @ Yale University Pioneer in Information Design & Data Visualization
Hates PowerPoint
Stephen Few Leading innovator & practitioner in data visualization Set forth many of the dashboard design standards used today
Hates Bling
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Principals of Visual Context
Proximity – things that are close
Similarity – things that look alike
Enclosure – things enclosed by a shape
Closure – incomplete shapes are completed
Continuity – things that are aligned
Connection – things that are connected
Source: Gestalt’s Psychological Principals of Perception
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Principals of Visual Design
Know your audience Executives vs. Operational Managers
Select the Right Medium Avoid variety for the sake of variety
Pie charts are evil
Bar Charts vs. Line Charts
Kill Cute Identify non-data pixels (backgrounds, borders,
gradients, gridlines, 3-d effects) demphasis when its not possible to remove them
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Principals of Visual Design
Use Colors Carefully Bright colors cause fatigue
Remember the color blind
https://kuler.adobe.com/
Size & Color are perceived quantitatively but imprecisely. Use 2-D placement instead.
Visual Consistency Left-to-Right
Placement/Layout (Relevance Grid)
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Chart Junk
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Visual/Actual Differences
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Data Encoding
Precise: Sales/Mkting Expenses X/Y Plot
Imprecise: • Profit • Size of bubble
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Line vs. Bar Charts
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Line vs. Bar Charts
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Line vs. Bar Charts
First…Know your scale:
Nominal (Discrete items, no order)
Sales, Operations, HR, Marketing, Accounting
Ordinal (Items with an intrinsic order)
Q1, Q2, Q3, Q4
Interval (Items with an intrinsic order & quantitative value
Jan, Feb, Mar, Apr, May, Jun, Jul, Aug, Sept, Oct, Nov, Dec
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Line vs. Bar Charts
Bar Charts: Ideal for comparing values since individual values
are emphasized
Nominal & Ordinal
Line Charts: Implies connection between data points
Ideal for showing trends
Interval You can use bar charts for interval when comparing
values
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Pie vs. Bar Charts
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Reporting Services
A pervasive, flexible enterprise platform for reporting that is capable of powerful data visualizations
Robust developer community Easy to set-up and use Many built-in charting options
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Reporting Services Charts
Common
Lines/Bars/Area (Pie)/Scatter/Etc.
Gauges
Bullet Graph
Indicators
Sparklines/Data Bars
Maps
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Bullet Graph
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Demo
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Resources & References
Books:
Blogs:
http://www.perceptualedge.com/
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Upcoming Sessions
7/18 – PASS Business Analyst Virtual Chapter Introduction to Mahout for HDInsight 7/23 – PASS Big Data Virtual Chapter The BI Guys Little Guide to Big Data 7/27 – Cocoa Beach #231 MDS in Practice: An Integrated Approach 8/16 to 8/18/2013 – Code on the Beach (Jacksonville) Running with Elephants: Predictive Analytics with HDInsight 9/14 – Orlando #232 Into the Wild, Taming Unstructured Data
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Thank you!
@BluewaterSQL
http://bluewatersql.wordpress.com/