Data representation is an important and interesting aspect of Descriptive Statistics. Many techniques and tools are used to represent data in a clearly understandable way.

We learn many types of graphs like Line-Plots, Bar Graphs, Histograms and Stem and Leaf Plot to name a few. Line Plot is the simplest and easiest of these types of Data Presentation. We are all quite comfortable using the number line. With the minimal skill of counting numbers, Line Plots can be made to give impressive and useful data charts.

Line Plot is a diagrammatic representation of data displayed on a number line. For any Statistical Graph, the data has to be tallied and organized in some form. A frequency table is used to tally or count the number of different categories and find their frequencies. Line Plot provides a method to tally and organize data direct on the chart when the categories being tallied are numbers. For this matter, Line Plots can also be understood as data tallied on a number line.

A line Plot uses X marks above a number line to show the frequencies. The X marks can also be replaced with a dot or some picture, motif or design related to the data set.
The Line Plot is also sometimes called a Dot Plot.Line Plots are not only a useful data display, but can also be used for data analysis. Each data value is clearly represented on a Line Plot. A quick observation of a Line Plot gives the range and mode of the data set direct. As the data values are placed in numerical order, the median can be easily found using a Line Plot. Line Plots clearly show clusters, gaps and outliers in data sets.