Keysto effectivedatavisualization fsfp

The First Step in Information Management

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Keys to Effective Data VisualizationNovember 2, 2017

Topics for Today’s Analytics Webinar

Best Practices in Effective Big Data Visualization

Transformations Necessary to Enable Effective Visualization

Visualizing Patterns

Data Discovery vs. Descriptive Analytics Visualization

Key Take-Aways

Q&A

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Definition of Data Visualization (a.k.a. Data Viz)

Data visualization is a general term that describes any effort to help people understand the significance of data by placing it in a visual context. Patterns, trends and correlations that might go undetected in text-based data can be exposed and recognized easier with data visualization software.

Source: Whatis.com

Data visualization or data visualisation is viewed by many disciplines as a modern equivalent of visual communication. It involves the creation and study of the visual representation of data, meaning "information that has been abstracted in some schematic form, including attributes or variablesfor the units of information." A primary goal of data visualization is to communicate information clearly and efficiently via statistical graphics, plots and information graphics.

Source: Wikipedia


Polling Questions

Are you or is anyone in your organization actively usingdata visualization? − Yes, we’re actively using it− Yes, but we’re just starting to experiment with it− No, we’re not using it at all− I’m not sure if we’re using data visualization

What impact is data visualization having on your organization?− It’s too early to tell its impact− It’s helping us in several ways, e.g., spotting trends, allowing us to interact more

with our data, etc.− We’re not seeing any benefits at all− I’m personally not aware of its impact to the organization


Why Use Data Visualization?

Helps you understand large amounts of data Explains findings easily and more quickly Clarifies areas of importance or required actions Allows you to discover and understand trends,

patterns and correlations Improves recall of information It’s more interesting and engaging!


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Best Practices in EffectiveBig Data Visualization

Data Visualization Best Practices

Know your audience.− What do you want to communicate and/or what problem are you

trying to solve? Keep it simple.

− Visualizations should be easy-to-comprehend, yet still meaningful. Tell a story with the data.

− Good stories have a structure and flow; think about the set-up and conclusion.

Exploit technology and types.− Choose the right data visualization type for your purpose.

Document data sources, collection method, timing, etc.− Grow understanding and impact by providing the full context.



Transformations Necessary toEnable Effective Visualization

Standardization and Transformation Precede Visualization

Standardization, curation or “harmonization” of the data comes first.

After gathering the data, there is still work to be done.− For example, data scientists often spend 50 – 80% of their total time getting data

ready for analysis.

Many organizations need to reduce “time to market” of results through standardizing and positioning.


Gather Data Format Data

Use Data

Standardize and position for use in visualization

Get reference data, taxonomies, dimensions,

etc., lined up

”Join” data sets, position data sets, to support

processing of visualization


Visualizing Patterns

First, What Do You Want to Show?


Source: datavizcatalogue.com

Your Options Are Virtually Endless!



Data Visualization Types by Category


GRAPHS/PLOTSArc

BrainstormChord

Flow ChartIllustrationNetwork

Non-ribbon ChordSankey

TimelineTreeVenn

CalendarGantt Chart

HeatmapStem & Leaf Plot

Tally ChartTime Table

Parallel Coordinates PlotPoint & Figure ChartPopulation Pyramid

Radar ChartRadial Bar Chart

Radial Column ChartScatterplotSpan ChartSpiral Plot

Stacked AreaStacked Bar

StreamViolin Plot

AreaBar

Box and Whisker PlotBubble Chart

BulletCandlestick Chart

Density PlotError BarsHistogram

KagiLine GraphMarimekko

Multi-set BarOHLC Chart

TABLES

BubbleChoroplethConnection

DotFlow

MAPS

Circle PackingDonut Chart

Dot Matrix ChartNightingale Rose Chart

Parallel SetsPictogram Chart

Pie ChartProportional Area Chart

Sunburst DiagramTreemap

Word Cloud

OTHERDIAGRAM


Data Visualization Examples

pg 14

How People Spend Their Timeflowingdata.com

#GDPR Global Tweet Mapmapdm.com

Deaths in the Grand Canyon (1869 – present)arcgis.com

Why Snow Leopards Are Disappearingpublic.tableau.com

Monthly Average Temps.Tokyo & Londonhighcharts.com/demo

Data Visualization Tools and Software

Tableu Qlikview FusionCharts Highcharts Datawrapper Data-Driven Documents

(D3.js) Plotly Sisense Google Charts


Traditional BI with Some Visualization Capabilities:

Microsoft Power BI (and Excel, as usual)

MicroStrategy

OBIEE

SAP

IBM

DISCOVERY

Learning through interacting w/ visualization

• Manipulate data through interacting with the visualization

• Best for exploring data


Determine if you need to do analysis to grasp and explain causality or do

you need to explore the data some more to

develop a hypothesis of causality?


DESCRIPTIVE ANALYTICS

Seeing clearly what has happened and grasping

why it happened

• Best for recognizing causality

• Supports responding to data-based inputs


Key Take-Aways

Key Take-Aways

Remember that data visualization tools can actually beused for interacting with or manipulating the data, as wellas for data discovery. Visualization is a powerful tool, but remember to tell a story with it. Invest some time to be creative – and if you haven’t tried some of

the free tools that are available, set a goal to start next week! While most data viz tools will work for Big Data sets, they will be

more effective with some sort of standardization. Data visualization can point out patterns, but causality and

correlation can still be at odds.


Thank you for being here today!Please join our next webinar on Thursday, December 7,

Trends in Data Analytics: From Database to Analyst.

John Ladley @[email protected]

Kelle O’Neal @[email protected]

Keysto effectivedatavisualization fsfp

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