The Best Free Tools for Visualising Data
Data visualisation is one of the fastest ways to help students see patterns, trends, and relationships. The good news? You don’t need expensive software to create clear, classroom‑ready graphs. There’s a whole ecosystem of free tools that are perfect for Statistical Investigations and everyday maths lessons.
Below is a teacher‑friendly guide to the best free tools - what they’re good at, where they shine in the classroom, and how to use them to lift student understanding
Desmos: The Classroom Favourite
Desmos isn’t just for algebra - its data tools are surprisingly powerful.
Why teachers love it
- Clean, modern visuals that look great on a projector
- Instant graph updates as students change values
- Easy to build dynamic models (e.g., linear trends, residuals, sliders)
- Activity Builder lets you create interactive tasks
Best for:
- Scatter plots
- Line graphs
- Modelling relationships
- Quick visual checks during investigations
Classroom tip: Have students predict the shape of a graph before entering data. Desmos makes the reveal satisfying and discussion‑rich.
Google Sheets: The Workhorse
Sheets is free, accessible, and perfect for real datasets.
Why it works well
- Students can import CSVs, copy/paste tables, or collect their own data
- Chart editor is simple and produces clean visuals
- Great for teaching data cleaning and organisation
- Works on any device
Best for:
- Bar graphs
- Time series
- Pie charts (when appropriate!)
- Quick comparisons between groups
Classroom tip: Use conditional formatting to help students see patterns in raw data before graphing.
CODAP: Built for School Statistics
CODAP (Common Online Data Analysis Platform) is designed specifically for teaching data investigations.
Why it’s powerful
- Drag‑and‑drop graphing
- Easy to filter, group, and reorganise data
- Supports multivariate data (e.g., colour‑coding by category)
- Perfect for Statistical Investigations
Best for:
- Exploring relationships
- Teaching sampling and variation
- Multivariate displays
- Interactive data stories
Classroom tip: Use CODAP’s “drag a variable onto the graph” feature to show how adding a third variable changes the story.
GeoGebra: More Than Geometry
GeoGebra’s statistics tools are underrated - and excellent.
Why it’s useful
- Clean interface
- Strong probability and statistics features
- Good for box plots, histograms, and distributions
- Works offline if needed
Best for:
- Box‑and‑whisker plots
- Histograms
- Comparing distributions
- Probability simulations
Classroom tip: Use GeoGebra to compare two box plots side‑by‑side — perfect for teaching “shift”, “spread”, and “overlap”.
Datawrapper: Professional‑Looking Graphs
If you want visuals that look like they came from a news site, Datawrapper is the tool.
Why it stands out
- Beautiful, publication‑quality charts
- Simple interface
- Great for media‑literacy lessons
- No account required for basic use
Best for:
- Column and bar charts
- Choropleth maps
- Line graphs with annotations
- Media‑style data storytelling
Classroom tip: Use Datawrapper to show students how journalists present data — then compare it to the raw numbers to discuss bias and clarity.
Charticulator (Microsoft Research): Custom Visuals
For teachers who want something more advanced, Charticulator lets you design your own chart layouts.
Why it’s interesting
- Build unique visualisations from scratch
- Drag‑and‑drop design
- Great for exploring how design choices affect interpretation
Best for:
- Media‑literacy lessons
- Custom displays
- Exploring how graphs can mislead
Classroom tip: Have students redesign a misleading graph using Charticulator - a brilliant critical‑thinking task.
Flourish: Interactive Visuals
Flourish creates interactive, animated charts that feel modern and engaging.
Why it’s great
- Templates for maps, bar‑race charts, and more
- Easy to embed in class sites or slides
- Students love the animations
Best for:
- Storytelling with data
- Animated comparisons
- Maps and geographic data
Classroom tip: Use a bar‑race chart to show changing trends over time - students instantly grasp the idea of dynamic data.
Final Thoughts
You don’t need expensive software to teach high‑quality data visualisation. These free tools give students the power to explore, question, and communicate data clearly - and they help you build lessons that feel modern, relevant, and visually sharp. 🌈✨
