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MAKING BUSINESS INTELLIGENT www.pragmaticworks.com Visualizing Data with Microsoft Reporting Services Chris Price Senior BI Consultant @BluewaterSQL
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Data Visualization with Microsoft Reporting Services

Jan 19, 2015

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Technology

Chris Price

Data is beautiful…or at least it can be….This session dives into the art & science behind data visualization. We will start by looking at the research done by Stephen Few and Edward Tufte to practically understand questions such as why you should prefer a bar chart over a line chart and why you typically should avoid pie charts whenever possible. Next, we will look at why Reporting Services is a rich & powerful platform for delivering your visualization before wrapping-up with techniques for implementing and delivering your eye-popping data visualizations.
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Page 3: Data Visualization with Microsoft Reporting Services

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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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