Plans & PricingSignup for FreeGet a demo

Fundamentals of Data Visualization

Telmo Silvaon March 8, 2016
Last updated on May 14, 2025

Organizations are beginning to lean on data visualization tools more frequently as they discover the tremendous advantage it has over narrative text to compare, analyze and report on actionable insights and performance metrics.

But how do you best communicate the import of those insights and how they fit in to the overall scheme of business objectives and strategies?

To begin with, it is helpful to know how to best use basic data visualization tools and to understand which ones are best suited for which types of data sets. Here are four tips:

Use pie charts to illustrate values of the parts relative to the whole. But pie charts have their limitations. When you have more than five categories to compare, however, your reader is more challenged to decipher your graphic’s meaning at a glance. When too many sections are included, interpretation becomes more laborious.

Use a tabular format only when exact numerical figures are being reported. But tables won’t help your users recognize trends or compare sets of data. This format also becomes unwieldy with larger data sets.

Use bar charts to compare categories of data. Most frequently, one axis of the chart lists the categories being compared, and the other axis represents discrete values.

Use line charts to represent continuous data over time. They are ideal for showing trends over time. You can add a trend line to point out performance within a certain period of time, set against a benchmark.

These fundamental data visualization tools can help get you started communicating your data and insights in more precise and impactful ways.

Table of Contents

Share this Blog

Other Blogs

When Dashboards Are Ignored: A 6-Step Adoption Plan

Intro Your team spent weeks building a dashboard. You shared the link. Nobody opened it. Dashboard abandonment is one of the most expensive and least-discussed problems in business intelligence —…

Automated Dashboard Alerts: How to Build a BI System That Notifies You Before Problems Escalate

Every hour your team spends manually checking dashboards is an hour not spent fixing what those dashboards reveal. By the time someone spots a problem (a campaign bleeding budget over…

Claude is Writing Your Code, But Who is Running Your Data Platform?

If your marketing team, IT department, or operations lead has started building a BI or reporting solution using Claude or another AI tool, the first few steps likely exceeded expectations. A…
All articles
We use cookies.
We use necessary cookies to make our site work. We'd also like to use optional cookies which help us improve our the site as well as for statistical analytic and advertising purposes. We won't set these optional cookies on your device if you do not consent to them. To learn more, please view our cookie notice.

If you decline, your information won't be tracked when you visit this website. A single cookie will be used in your browser to remember, your preference not to be tracked.
Essential Cookies
Required for website functionality such as our sales chat, forms, and navigation. 
Functional & Analytics Cookies
Helps us understand where our visitors are coming from by collecting anonymous usage data.
Advertising & Tracking Cookies
Used to deliver relevant ads and measure advertising performance across platforms like Google, Facebook, and LinkedIn.
Reject AllAccept