A histogram is another kind of graph that uses bars in its display. This type of graph is used with quantitative data. Ranges of values, called classes, are listed at the bottom, and the classes with greater frequencies have taller bars.

A histogram often looks similar to a bar graph, but they are different because of the level of measurement of the data. Bar graphs measure the frequency of categorical data. A categorical variable is one that has two or more categories, such as gender or hair color. Histograms, by contrast, are used for data that involve ordinal variables, or things that are not easily quantified, like feelings or opinions.

**Stem and Leaf Plot**

A stem and leaf plot breaks each value of a quantitative data set into two pieces: a stem, typically for the highest place value, and a leaf for the other place values. It provides a way to list all data values in a compact form. For example, if you are using this graph to review student test scores of 84, 65, 78, 75, 89, 90, 88, 83, 72, 91, and 90, the stems would be 6, 7, 8, and 9, corresponding to the tens place of the data. The leaves—the numbers to the right of a solid line—would be 0, 0, 1 next to the 9; 3, 4, 8, 9 next to the 8; 2, 5, 8 next to the 7; and, 2 next to the 6.

This would show you that four students scored in the 90th percentile, three students in the 80th percentile, two in the 70th, and only one in the 60th. You'd even be able to see how well students in each percentile performed, making this a good graph to understand how well students comprehend the material.

**Dot Plot**

A dot plot is a hybrid between a histogram and a stem and leaf plot. Each quantitative data value becomes a dot or point that is placed above the appropriate class values. Where histograms use rectangles—or bars—these graphs use dots, which are then joined together with a simple line, says statisticshowto.com. Dot plots provide a good way to compare how long it takes a group of six or seven individuals to make breakfast, for example, or to show the percentage of people in various countries who have access to electricity.

**Scatter Plots**

A scatterplot displays data that is paired by using a horizontal axis (the x-axis) and a vertical axis (the y-axis). The statistical tools of correlation and regression are then used to show trends on the scatterplot. A scatterplot usually looks like a line or curve moving up or down from left to right along the graph with points "scattered" along the line. The scatterplot helps you uncover more information about any data set, including:

- The overall trend among variables (You can quickly see if the trend is upward or downward.)
- Outliers from the overall trend.
- The shape of any trend.
- The strength of any trend.

**Time-Series Graphs**

A time-series graph displays data at different points in time, so it is another kind of graph to be used for certain kinds of paired data. As the name implies, this type of graph measures trends over time, but the timeframe can be minutes, hours, days, months, years, decades, or centuries. For example, you might use this type of graph to plot the United States population over a century. The y-axis would list the growing population, while the x-axis would list the years, such as 1900, 1950, 2000.

**Exponential Graphs**

Exponential graphs are the representation of exponential functions using the table of values and plotting the points on a graph paper. It should be noted that the exponential functions are the inverse of logarithmic functions. In the case of exponential charts, the graph can be an increasing or decreasing type of curve based on the function. An example is given below, which will help to understand the concept of graphing exponential function easily.

For example, the graph of y = 2x is an increasing one, while the graph of y = 2-x is a decreasing one.

Graph of y = 2x:

Graph of y = 2-x = (½)x

**Logarithmic Graphs**

Logarithmic functions are inverse of exponential functions, and the method of plotting them is similar. To plot logarithmic graphs, it is required to make a table of values and then plot the points accordingly on a graph paper. The graph of any log function will be the inverse of an exponential function. An example is given below for better understanding.

For example, the inverse graph of y = 2x will be y = log2x which will be as follows:

**Trigonometric Graphs**

Trigonometry graphs are plotted below for the 6 trigonometric functions, including sine function, cosine function, tangent function, cotangent function, cosec function, and sec function.

**Frequency Distribution Graph**

A frequency distribution graph is used to show the frequency of the outcomes in a particular sample. For frequency distribution graphs, the table of values made by placing the outcomes in one column and the number of times they appear (i.e., frequency) in the other column. This table is known as the frequency distribution table from which the cumulative frequency graph or ogive can be plotted.

**Summary**

In the field of statistics, data are vital. Data are the information that you collect to learn, conclude, and test hypotheses. After all, statistics is the science of learning from data. However, there are different types of variables, and they record various kinds of information. Crucially, the type of data determines what you can learn from it, and, importantly, what you cannot learn from it. Consequently, you must understand the different types of data.

So, you understand the different types of data, what you can learn from them, and how to graph them—how else can you use this knowledge? In statistics, the kind of variable greatly determines which kinds of analyses you can perform.