- Data visualization tools at a glance
- Ten data visualization tools
- The pie chart rule from the ONS
- Chart makers, dashboards or business intelligence?
- Making a chart people understand
- Chart mistakes to avoid
- Measuring what matters first
- My plain advice on choosing a data visualization tool
- Frequently asked questions
The best data visualization tool depends on who's making the chart and who's reading it: a quick chart for an article, a live dashboard for a team or deep analysis across big data. Look at where your data lives, how easy sharing is and what the free plan covers. Ten tools follow in no particular order, plus how to make charts people understand.
A good chart turns a spreadsheet nobody reads into a point everyone remembers. That's why it's worth getting the tool right, and it doesn't have to be complicated. The tools range from simple chart makers you can learn in an afternoon to business intelligence platforms that connect to every system in a company.
The ten tools below are listed alphabetically and in no particular order, from open-source dashboards to polished chart makers for writers and marketers. Each description comes from the tool's own website or plans page, re-checked today. If you're still choosing how to collect the numbers, my roundup of data analytics tools covers the step before the chart.
Data visualization tools at a glance
In the free plan column, Yes means the tool's own site describes a free plan, free use or open source software, Trial only means a time-limited trial and No means neither is stated. Free plans often limit users, data sources or branding.
| Tool | Type | Good for | Free plan |
|---|---|---|---|
| Apache Superset | Open-source BI platform | Self-hosted dashboards on SQL data | Yes |
| Datawrapper | Chart and map maker | Clean charts for articles and reports | Yes |
| Flourish | Interactive charts | Animated and interactive stories | Yes |
| Grafana | Monitoring dashboards | Live operational dashboards | Yes |
| Looker Studio | Reporting dashboards | Marketing reports from Google data | Yes |
| Metabase | Open-source analytics | Questions answered without SQL | Yes |
| Observable | Data notebooks | Custom code-based visuals | Yes |
| Power BI | Business intelligence | Microsoft 365 organisations | Yes |
| RAWGraphs | Chart builder | Unusual chart types from a spreadsheet | Yes |
| Tableau | Business intelligence | Deep analysis across large data | Trial only |
Ten data visualization tools
Apache Superset
Best for: Technical teams who want free, self-hosted dashboards on top of their own SQL databases.
Datawrapper
Best for: Writers and marketers who need clean, readable charts and maps for articles and reports in minutes.
Flourish
Best for: Communicators who want animated, interactive charts and data stories to embed on a website.
Grafana
Best for: Tech and operations teams who want live dashboards for systems, sensors and time-series data.
Looker Studio
Best for: Marketers who want shareable reports pulling from Google Analytics, Ads and Sheets without extra software.
Metabase
Best for: Small teams who want colleagues to explore data and build dashboards without writing SQL.
Observable
Best for: Analysts and developers who build custom charts in code and want to share live, interactive notebooks.
Power BI
Best for: Businesses already on Microsoft 365 that want interactive dashboards connected to Excel and company data.
RAWGraphs
Best for: Designers who want unusual charts, such as alluvial or bump charts, from a spreadsheet to finish in design software.
Tableau
Best for: Analysts in larger organisations who need deep, drag-and-drop analysis across big and varied data sources.
The pie chart rule from the ONS
Most bad charts fail for the same reason: too much crammed into one picture. The Office for National Statistics says pie charts work best with a small number of categories, ideally three or four, and to avoid using more than six categories as this can make the chart difficult to interpret.
Want AI doing the heavy lifting in your marketing?
I build the systems that handle the boring 80 percent, so you get your week back. Done properly, with the human kept in.
What that means for you: whatever tool you choose, pick the chart for the message. When a pie would need more than a handful of slices, a sorted bar chart nearly always tells the story better.
Chart makers, dashboards or business intelligence?
Chart makers produce clean, embeddable charts and maps from a spreadsheet, ideal for articles, reports and social posts. Dashboard tools connect to live data and update automatically, which suits marketing reports and operations. Business intelligence platforms add deep analysis, permissions and data modelling across a whole organisation.
Small businesses rarely need full business intelligence on day one; a free dashboard tool connected to the data you already have is a strong start. You'll learn what questions you're asking before you pay for anything bigger.
Making a chart people understand
- Write the one sentence the chart should prove.
- Pick the chart type that shows that point most simply.
- Sort bars from largest to smallest unless order matters.
- Label data directly instead of relying on a legend.
- Use one highlight colour for the thing that matters.
- Write a title that states the finding, not just the topic.
Chart mistakes to avoid
- 3D effects. They distort sizes and make values harder to read.
- Too many colours. Nobody can match a dozen shades to a legend.
- Truncated axes. Starting bars above zero exaggerates differences.
- Unclear titles. Say what the chart shows, not just what it's about.
Measuring what matters first
Charts are only as useful as the numbers behind them. Before building a dashboard, agree on the handful of measures that drive decisions. My guide to measuring social media ROI shows how to pick numbers worth charting. Once you've agreed them, write them down where everyone can see; it stops dashboards growing into walls of charts nobody checks.
Do you make a data visualization tool? Tool makers can ask to be considered for a featured place on this list.
My plain advice on choosing a data visualization tool
Start with where your data lives and who needs to see the result. If it's a spreadsheet and a blog post, a chart maker is perfect. If it's live marketing data for a weekly meeting, a free dashboard tool will save hours. Only reach for business intelligence when several teams need to analyse the same data.
Whatever you pick, spend more time on the message than on the tool. A plain bar chart with a clear title beats a beautiful interactive chart nobody can read. If a colleague can't explain your chart back to you in one sentence, it isn't finished yet.
Frequently asked questions
What is the best data visualization tool?
It depends on the job: chart makers for articles and reports, dashboard tools for live data and business intelligence platforms for deep analysis.
Are there free data visualization tools?
Yes. Several tools here describe free plans or are open source.
What's the easiest tool for beginners?
Chart makers that start from a spreadsheet are the quickest to learn.
When should I avoid a pie chart?
The Office for National Statistics advises avoiding more than six categories, and pie charts work best with three or four.
Can I make interactive charts for my website?
Yes. Several tools create embeddable, interactive charts and maps.
Do I need to know code?
No. Most tools here are drag and drop; a few are built for people who prefer code.
