# 7 Best Ways for How to Teach Line Plots

Around this time of year, I always have a lot of teachers come to me asking about how to teach line plots and teaching line plots with fractions. This can be difficult, but we need to remember that line plots are a powerful tool for visualizing data and can be used to help students make sense of quantitative information. In this blog post, we’ll discuss how to teach students to read and create line plots, step-by-step.

### Introduction to Line Plots

Before even tackling how to teach line plots with creating and reading them, it’s important to first introduce students to the concept of line plots. Line plots are a way of displaying data on a number line. Each data point is represented by a dot or symbol above the corresponding value on the number line. The dots are then connected to form a line, which gives a visual representation of how the data is distributed across the number line.

### How to Teach Line Plots with Real World Examples

To help students understand the concept of line plots, it’s helpful to provide a real-world example. For example, you might use a line plot to show the number of hours students in your class spend on homework each week. This is actually my favorite and best way how to teach line plots by creating a number line with hours on the horizontal axis and the number of students on the vertical axis. Then, plot the number of hours each student spends on homework as a dot above the corresponding value on the number line. Finally, connect the dots to form a line plot.

Once students have a basic understanding of line plots, it’s time to practice reading them. When it comes to how to teach line plots, I like to provide students with a variety of line plots and ask them to interpret the data. For example, you might show them a line plot that represents the number of pets owned by each student in your class. Ask students to identify the number of students who own each number of pets, as well as the most common number of pets owned.

### Practice Creating Line Plots

After students have had some practice reading line plots, it’s time to determine how to teach line plots with creating them. Start by providing them with a set of data, such as the number of books read by each student in your class over the course of a month. Then, have them create a number line with the number of books on the horizontal axis and the number of students on the vertical axis. Next, have them plot the number of books read by each student as a dot above the corresponding value on the number line. Finally, have them connect the dots to form a line plot.

### Discuss the Importance of Labeling

As students create their own line plots, it’s important to emphasize the importance of labeling. Make sure they label the horizontal and vertical axes with the appropriate units (e.g. “Number of books” and “Number of students”). Additionally, when we are figuring out how to teach line plots we want to make sure students label the individual data points with the corresponding values.

### How to Teach Line Plots with Different Types of Data

As students become more comfortable with line plots, it’s important to introduce them to different types of data. For example, you might show them a line plot that represents the high temperatures for each day of the month. This will help them see that line plots can be used to display a wide range of quantitative information.

### How to Teach Line Plot Comparisons

Finally, encourage students to use line plots to make comparisons between different sets of data. For example, you might provide them with two line plots that represent the number of hours spent on homework by students in two different classes. Ask them to compare the data and identify any similarities or differences.

Teaching students to read and create line plots can be a valuable tool in helping them make sense of quantitative information. By following these seven best ways for how to teach line plots, you can help your students develop the skills they need to become confident and competent in interpreting and analyzing data.