Which Data Visualization Should You Use and When

If you work in digital marketing or web analytics, then you’ve probably found yourself staring at a dashboard wondering: “Is this the best way to show the data?”

Maybe you used a pie chart just because it was there, or maybe you’ve built a beautiful graph, only to have your stakeholder ask, “Wait, what am I looking at here?”

Don’t worry, you’re not alone. I’ve made all those mistakes too. Choosing the right chart isn’t just about making your report look good, it’s about helping your audience understand what matters.

In this post, I’ll walk you through a simple way to pick the right kind of data visualization, using real examples from marketing and web analytics.

1. When You Want to Compare Things

Use: Bar chart, Column chart, Bullet chart

Why: These make it easy to compare categories side by side.

  • Marketing example: ROAS across Google Ads, Facebook, and LinkedIn.
  • Web example: Bounce rate for top landing pages.

2. When You Want to Show a Trend Over Time

Use: Line chart, Area chart

Why: Trends are easiest to follow with lines or shaded areas over time.

  • Marketing example: Daily conversions from a paid campaign.
  • Web example: Monthly traffic from organic search.

3. When You Want to See a Distribution

Use: Histogram, Box Plot, Dot Plot

Why: These help you understand how data is spread out and where the outliers are.

  • Marketing example: Distribution of cost-per-click (CPC).
  • Web example: Session durations grouped by time buckets.

4. When You Want to Show Parts of a Whole

Use: Pie chart (carefully), Donut chart, Stacked bar chart

Why: These work when you want to break something into pieces, but don’t go overboard with pie charts.

  • Marketing example: Share of traffic from each email campaign.
  • Web example: Traffic split by device type.

5. When You Want to Show Relationships

Use: Scatter plot, Bubble chart

Why: These are great for spotting patterns or correlations between variables.

  • Marketing example: Ad spend vs. lead volume.
  • Web example: Time on page vs. goal completions.

6. When You Want to Show Rankings

Use: Sorted bar chart, Lollipop chart (custom)

Why: You’re highlighting what’s performing best (or worst).

  • Marketing example: Top email subject lines by open rate.
  • Web example: Most-exited pages ranked by volume.

7. When You’re Tracking Progress

Use: Gauge chart, Progress bar, Bullet chart

Why: These visuals help you track how close you are to your goal.

  • Marketing example: Leads generated vs. monthly goal.
  • Web example: Page load speed score on mobile (e.g., 89/100).

What Charts Are Available in Looker Studio?

Looker Studio (formerly Data Studio) gives you plenty of options, but not every chart on this list is native. Here’s a quick reference:

Chart Type Available in Looker Studio? Notes
Bar chart ✅ Yes Fully supported
Column chart ✅ Yes Just flip orientation from bar
Line chart ✅ Yes Ideal for time series
Area chart ✅ Yes Line chart with fill
Pie chart ✅ Yes Use for simple breakdowns
Donut chart ✅ Yes Same as pie, cleaner look
Stacked bar chart ✅ Yes Show composition across categories
Histogram ⚠️ Not Native Simulate with calculated fields
Box Plot ❌ No Need external embed or custom viz
Dot Plot ❌ No Not supported by default
Scatter plot ✅ Yes Requires numeric x and y
Bubble chart ✅ Yes (Community Viz) Use 3rd metric as size
Lollipop chart ❌ No Custom visual only
Gauge chart ✅ Yes Perfect for KPIs
Progress bar ❌ No Simulate using styled bar chart
Bullet chart ❌ No Use community visualizations

Final Thoughts

Data visualization is not about making things fancy—it’s about making insights easy to understand. Always start with the question: “What am I trying to show here?”

If you stay focused on that and pick your charts intentionally, your dashboards and reports will do what they’re supposed to: drive action.

Need help building a dashboard or training your team on which visuals to use? Let’s talk.

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