Summarize this article:
228 LearnersLast updated on November 21, 2025

In today's data-driven world, information across all sources can be represented in various ways. One such representation is a line graph, a visual representation of quantitative data collected over a period of time for a particular subject. Line graphs can be used in many places, including schools and offices.
In mathematics, a line graph, line chart, or line plot is a visual tool that plots data points in an XY-plane and connects them with straight line segments. It shows how a value changes over time, and helps us observe trends. A line graph has two axes, the horizontal (x-axis) and the vertical (y-axis), which represent different variables. By drawing a line graph, we can clearly analyze how a quantity increases, decreases, or fluctuates, making it easier to interpret changes across time. A line graph is a visual representation of data that shows how a quantity changes over time (or across categories) by connecting points with straight lines. It helps identify trends, patterns, and comparisons clearly and quickly.
Let us learn more through an example:
A student records the temperature in her city every day for a week. The table below shows the data:
| Day | Temperature |
|---|---|
| Monday | 28 |
| Tuesday | 30 |
| Wednesday | 29 |
| Thursday | 32 |
| Friday | 31 |
| Saturday | 33 |
| Sunday | 30 |
When we plot these temperatures on a graph with days on the x-axis and temperature on the y-axis, and connect the points, we get a line graph.
Major takeaways from the line graph given above are:
What is a Line Graph?
A line graph is a graph that uses straight line segments to connect data points. It shows how a quantity changes over time or in sequence. It is useful for displaying trends, patterns, and continuous data.
What is a Scatter Plot?
A scatter plot is a graph where individual data points are plotted on a coordinate plane to show the relationship between two variables. It is useful for identifying correlations, clusters, and patterns, but the points are not connected by lines.
Difference Between Line Graph and Scatter Plot
| Line Graph | Scatter Plot |
|---|---|
| In a line graph, data points are connected by straight line segments. This visually shows how one variable changes, in relation to another, over time. | In a scatter plot, individual data points are plotted but not connected. If you want to show a trend, you can add the regression line, the line of best fit. |
| Ideal to represent continuous data over time. They make it easy to analyze trends, rate of change, and how quantity evolves. | Ideal for exploring the relationship between two numeric variables. They help observe correlations, clustering, and how one variable varies with respect to another. |
| In a line graph, the x-axis can be non-numeric, and the y-axis will typically be numeric. | In a scatter plot, both the x-axis and y-axis are usually numeric. |
| They are less suitable when there are large numbers of data points, because connecting too many points can look very distracting on a graph. | They can handle large datasets more naturally and are powerful for identifying patterns among many data points. |
| In line graphs, the slope of the line segments directly shows the local rate of change. | Here, since the points are not connected, only the added regression or trend line can be reliable for interpreting the overall relationship. |
| For line graphs, the independent variable (x-axis) can even be ordinal or scalar. | For scatter plots, since both axes represent numeric variables, both variables are quantitative. |
To plot an effective line graph, we need to understand its components. Now that we have understood line graphs, let’s look at their key components:
Plotting a line graph requires some basic understanding of certain key concepts. Let’s take a look at some of them:
1. Frame a Title: Make sure to draw the x-axis and y-axis in the correct position. Then, give a title at the top that defines the purpose of the graph.
2. Labeling Each Axis: Each axis must be labeled correctly. Independent variable like time should be mentioned on the x-axis. Dependent variable like numbers should be represented on the y-axis.
3. Include Data: The data should be organized in a two-column table for the x and y values. Enter the data in the table, and the plotted points will reflect the corresponding values automatically.
4. Create a Legend: To compare many quantities, include a key (legend) to depict what each line represents based on its color.
Let us take a sample dataset of study hours v/s test scores to understand these concepts better.
| Study hours (x-axis) | Test score (%) (y-axis) |
| 1 | 40 |
| 2 | 50 |
| 3 | 65 |
| 4 | 80 |
Now.
1. Frame a title for this, for example, "Impact of hours of studying on examination results."
2. label the x-axis as study hours as it is the independent variables and label the y-axis as test scores(%).
3. Use the data provided in the table above to plot the line graph.
4. Finally, create a legend.
Reading a line graph becomes simple when you break it down into clear steps. Follow the process below to interpret any line graph accurately:
Step 1: Understand the axes.
Look at each axis. The x-axis usually shows time or categories. And the y-axis shows the numerical values being measured. Knowing what each axis represents lets you easily compare or track the graph.
Step 2: Check the scale of the graph.
Observe the difference in how the values are increasing on both axes. See if the values are increasing by 1s, 2s, 5s, 10s, or so on. Or check if the scale is consistent. Understanding the scale helps you estimate values correctly.
Step 3: Read and interpret data points.
Examine the individual points plotted on the line. Identify the value represented by each point. Compare the points to see the increases, decreases, or stable values. Estimating these values gives you the exact information the graph displays.
Step 4: Observe the trend of the graph.
Look at the line as a whole. Check if it is moving upward, downward, or fluctuating. And check for any sharp rises, drops, or steady sections. This step helps you understand the data's general behavior.
Step 5: Conclude.
Make logical conclusions using the patterns in the graph. For example, when did the value peak or face a dip? How fast did the change occur?
| Advantages | Disadvantages |
|---|---|
| Easy to plot the change over time, as line graphs clearly show how a value increases, decreases, or stays the same. | Not suitable for large amounts of data points. Because too many points can make the graph cluttered and challenging to read, especially when multiple lines overlap. |
| They allow easy comparison between different datasets, even when multiple lines are plotted on the same graph. | Less effective for unrelated and non-continuous data. For example, categories like favorite fruits or types of vehicles. |
| Line graphs can be used to plot continuous data that changes frequently, such as temperature and sales. | Incorrect or uneven scaling can make the graph misleading and difficult to interpret accurately. |
| Line graphs can easily represent peaks, falls, or repeated cycles. | Not ideal for showing precise values, because exact values may be harder to read compared to bar graphs or tables. |
| They are effective in predicting future trends based on past behavior. | Multiple lines on the graph may cause confusion and students may find it challenging to differentiate between them. |
Learning about line graphs helps us analyze the changes that take place in the real world. Now that we know the importance of line graphs, let us learn some important tips and tricks to help us master the concept:
Students tend to make mistakes while plotting line graphs. Here are some common mistakes that can be avoided:
Line graphs are utilized in various fields of data collection. Let’s learn how it can be applied:
The line graph shows the temperature at 6 a.m. for five days: What was the temperature on Thursday?
23°C.
To read the line graph, locate Thursday on the x-axis and find the corresponding point on the y-axis, which aligns with 23°C.
A line graph shows the number of visitors in a park over four days: On which day did the number of visitors decrease compared to the previous day?
Day 4.
From Day 1 to Day 3, the line moves upward (increase).
Between Day 3 (150) and Day 4 (100), the line slopes downward, indicating a decrease.
A student recorded the amount of water she drank each day: Monday – 1.5 L, Tuesday – 2 L, Wednesday – 2.5 L, Thursday – 2 L. Plot the data in a line graph. And find: How much did her water intake decrease from Wednesday to Thursday?
Water intake decrease from Wednesday to Thursday = 0.5 liters.
Wednesday: 2.5 L
Thursday: 2 L
Decrease = 2.5 – 2 = 0.5 L
The descending line segment on the graph represents this drop.
A line graph compares the marks of two students (A and B) across three tests. In which test did Student B score higher than Student A?
Test 2.
Test 1 → A: 70, B: 65 → A is higher.
Test 2 → A: 75, B: 80 → B is higher.
Test 3 → A: 85, B: 78 → A is higher.
On the line graph, B’s line would be above A’s line only in Test 2.
A company’s quarterly revenue (in lakhs) is shown in a line graph: Between which quarters does the steepest increase occur, and why?
Between Q3 and Q4.
Calculate the change between each pair of quarters:
Q1 → Q2: +15
Q2 → Q3: –5
Q3 → Q4: +15
Both Q1→Q2 and Q3→Q4 show an increase of 15, but Q3 to Q4 is typically steeper because the increase occurs after a drop, showing a sharp upward turn on the graph.
Jaipreet Kour Wazir is a data wizard with over 5 years of expertise in simplifying complex data concepts. From crunching numbers to crafting insightful visualizations, she turns raw data into compelling stories. Her journey from analytics to education ref
: She compares datasets to puzzle games—the more you play with them, the clearer the picture becomes!






