Beyond the Graph: Building Data Literacy Through Classroom Routines

Every day, our students encounter data. They see statistics in social media posts, sports highlights, advertisements, news stories, weather forecasts, health claims, and infographics. They are constantly presented with graphs, percentages, averages, rankings, and claims about what the numbers supposedly tell us.

But being surrounded by data does not automatically make someone data literate.

As mathematics educators, we have an opportunity and a responsibility to help students think more critically about the data they encounter in their daily lives by asking deeper questions about the meaning behind it. Questions like:

Where did these data come from and who is the source?


How were they collected?


What does this graph show—and what might it hide?


Whose perspectives are represented? Whose are not represented?


What patterns or variability do we notice?


Is there potential bias?


And perhaps most importantly: What conclusions can we reasonably make from the evidence?

These questions are at the heart of data literacy.

Data Literacy Is More Than a Statistics Unit

October 20 marks World Statistics Day, making it an ideal opportunity to think about the role data play throughout our mathematics classrooms.

Too often, statistics and data analysis can feel like a destination that we reach toward the end of the year, but data literacy doesn’t need to live exclusively within a statistics unit. It can become part of the everyday routines of a mathematics classroom.

A graph projected at the beginning of class can become an invitation to notice and wonder. A surprising statistic can launch a conversation about how data were collected. Two different representations of the same information can lead students to question how scale, labels, or design influence interpretation. A data set connected to students' communities or interests can generate meaningful statistical questions before students ever perform a calculation. These small opportunities add up.

When students regularly interact with data, they begin to develop habits of mind that extend far beyond mathematics class.

Moving Beyond “What Does the Graph Say?”

One of the most powerful shifts we can make is moving from asking students to simply interpret information toward asking them to interrogate it.

Consider the difference between these questions:

“What is the highest value on the graph?” and “What does this graph make you wonder?”


“What is the mean of the data set?” and “Is the mean the most useful way to describe these data? Why or why not?”


“What conclusion can you make?” and “What additional information would you want before making a conclusion?”

The mathematics is still important. Students need to calculate, represent, compare, and analyze data accurately, but data literacy asks them to do something more: think critically about what those numbers mean in context. That shift creates opportunities for curiosity, mathematical discourse, reasoning, and student agency.

Classroom Routines Can Make Data Literacy Routine

Building these skills does not always require an elaborate project or an entirely new curriculum. Some of the most powerful opportunities can happen through short, repeatable classroom routines. Imagine beginning class with an unfamiliar graph and simply asking students:

What do you notice? What do you wonder?

Students might first notice the shape of the graph, changes over time, clusters, gaps, or unusual values. Their observations can then lead naturally to questions about variability, representation, context, or the story behind the data. We can push their thinking further:

What questions could these data help us answer?


What questions can't these data answer?


How do you think these data were collected?


Who or what might be missing from the data?


Could the same data be represented differently?


What claim could you support with this evidence?


What claim would go too far?

Over time, these questions can become habits. Students begin asking them without waiting for the teacher to prompt them. That is when data literacy becomes more than content we teach. It becomes a way students approach information.

Authentic Data Create Authentic Questions

Students are also more likely to engage deeply with data when the context feels meaningful. There is an incredible amount of publicly available data connected to topics students already encounter: sports, climate, transportation, music, population, economics, education, social media, public health, the environment, and their own communities. Authentic data are often messy. There may be missing values, unusual observations, imperfect samples, or variables that do not tell the entire story. That messiness is not necessarily a problem. Instead of always giving students perfectly organized tables followed by predetermined questions, we can occasionally give them data and ask:

What do you want to know?

Students can generate questions, determine which variables might help answer them, choose representations, look for patterns, and decide what conclusions the evidence supports. In doing so, students are not merely completing a statistics exercise. They are engaging in the work of statistical investigation.
From Data Consumers to Data Investigators

Ultimately, we want students to become more than consumers of information. We want them to become investigators. When students encounter a graph online, I want them to pause before accepting its message. When someone shares a statistic, I want them to wonder where it came from. When two people use data to support different claims, I want students to examine the evidence and reasoning behind each argument.

Data literacy empowers students to ask better questions, recognize uncertainty, examine evidence, challenge assumptions, and make more informed conclusions, and we can begin cultivating those habits through the routines we already use every day.
Join Me for World Statistics Day

In recognition of World Statistics Day (October 20), I invite mathematics educators in grades 5–12, or any educators who are excited about data literacy and looking for practical routines to promote data literacy in their classrooms to join me for my NCTM webinar: Beyond the Graph: Building Data Literacy Through Classroom Routines

During the webinar, we will explore practical ways to integrate data literacy throughout the mathematics curriculum—not just during a statistics unit. Together, we will investigate classroom routines, authentic data sets, and resources that encourage students to notice and wonder, ask meaningful statistical questions, examine how data are collected and represented, identify patterns and variability, consider context and potential bias, and use evidence to support conclusions.

We will also consider how data investigations can become opportunities for mathematical discourse, curiosity, critical thinking, and student agency. My goal is for you to leave with ideas you can actually use: adaptable classroom routines, engaging sources of real-world data, practical resources, and questions that can transform a graph or data set from something students simply analyze into something they investigate.

This World Statistics Day, let's help our students go beyond the data and start asking critical questions!

Register for the Webinar below 👇

🗓️ Thursday, October 22nd

🕖 7PM EST

🔗 https://bit.ly/47iU11f