Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
    big data and remote work
    Data Helps Speech-Language Pathologists Deliver Better Results
    6 Min Read
    data driven insights
    How Data-Driven Insights Are Addressing Gaps in Patient Communication and Equity
    8 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Visualizations as Vocabulary…or Know the Big Words, Use the Small Ones
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Data Management > Best Practices > Visualizations as Vocabulary…or Know the Big Words, Use the Small Ones
Best PracticesData VisualizationTransparency

Visualizations as Vocabulary…or Know the Big Words, Use the Small Ones

JuiceAnalytics
JuiceAnalytics
5 Min Read
SHARE

Telling stories with data. It is an increasingly common business intelligence refrain–and it may well be part of your job description. If it is, why not tap into the time-tested lessons of those who tell stories with words?  

Contents
1. Smaller, simpler words2. Too many words is a symptom of poor understanding3. Words are for communication, not show

Telling stories with data. It is an increasingly common business intelligence refrain–and it may well be part of your job description. If it is, why not tap into the time-tested lessons of those who tell stories with words?  

Just as words are the basic unit of written stories, visualization techniques (charts, visualizations, colors, font sizes, sparklines, etc.) are the tools we have when telling data stories. No matter the form, authors will agonize about choosing the right units of expression, finding a balance between being concise and being comprehensive, simplicity and sophistication.

More Read

Image
Whose Story Are You Telling?
R Script Creates a Map of Worldwide Email Traffic
When “Little Data” Can Do the Trick
Gapminder: Animating the World’s Data
The Evolution Of Data Science In The Cloud

On questions of vocabulary and style in written communication, there seems to be agreement about the pursuit of simplicity and ensuring that  the message – not the words – take center stage. Below are three common writing guidelines, and what they mean for your data communication choices.

1. Smaller, simpler words

“The finest language is mostly made up of simple unimposing words.” — George Eliot

“Don’t use words too big for the subject. Don’t say ‘infinitely’ when you mean ‘very’; otherwise you’ll have no word left when you want to talk about something really infinite.” — C.S. Lewis

My experience is that the simplest visualization  techniques (bar, line, table, single number, even pie) are effective for 80% of data communication. Like simple words, you can be assured that your audience will quickly understand what you mean. Refrain from advanced visualizations like treemaps and animated bubble charts but for the special situations where the breadth and nuance of your data requires more visual sophistication.

Nevertheless, there is value in knowing what can be done in data visualization. Exposing yourself to advanced visualization techniques (start here: Infosthetic, Flowing Data, New York Times visualizations) offers similar benefits to having a large vocabulary.

2. Too many words is a symptom of poor understanding

“If you can’t explain something simply, you don’t understand it well.” — Albert Einstein

“A man who uses a great many words to express his meaning is like a bad marksman who instead of aiming a single stone at an object takes up a handful and throws at it in hopes he may hit.” — Samuel Johnson

Most people don’t really want to hear you think out loud. In data presentation, it’s tempting to think out loud by showing all the data in every conceivable way.  We’ve all been a recipient of that awful 80-page PowerPoint report with seemly infinite variations on the same data.

Form an opinion. Lay it out there. Don’t wander around – or worse, allow your audience to wander too much off the path. Here’s a favorite example from the New York Times. This analytical tool knows exactly what it wants to accomplish and gets to the point immediately.

3. Words are for communication, not show

“Words in prose ought to express the intended meaning; if they attract attention to themselves, it is a fault; in the very best styles you read page after page without noticing the medium.” — Samuel Taylor Coleridge

“Any one who wishes to become a good writer should endeavour, before he allows himself to be tempted by the more showy qualities, to be direct, simple, brief, vigorous, and lucid.” — H.W. Fowler

It’s not about the data or the visualization; it’s about the message you are trying to communicate.  This is not simply a question of efficient communication; it is also a question of perception. When you use unnecessarily complex visualizations, you draw attention to the wrong things. Here’s a good example of a chart that is more about the chart than the data:

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

data analytics and truck accident claims
How Data Analytics Reduces Truck Accidents and Speeds Up Claims
Analytics Big Data Exclusive
predictive analytics for interior designers
Interior Designers Boost Profits with Predictive Analytics
Analytics Exclusive Predictive Analytics
big data and cybercrime
Stopping Lateral Movement in a Data-Heavy, Edge-First World
Big Data Exclusive
AI and data mining
What the Rise of AI Web Scrapers Means for Data Teams
Artificial Intelligence Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

The Data Analytics of Hurricane Irene

3 Min Read

No Smokescreen Area: Tips for Hiring Analysts

6 Min Read

The New Way to Segment For a 6x Greater Return

5 Min Read
User Adoption
News

User Adoption – Resistance Is Futile, We Hope

6 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?