Generally, the next step after the process of gathering and analyzing data is to represent it. Chapter 22: Data Handling- ii (Pictographs) focuses on various methods of representing data using pictures and symbols. This is the most common method applied in sectors where data is represented visually. It is important to take care of a few factors while considering a Pictograph. It must have a key, and the size of pictures used must be the same, and they should be equally spaced. Each image represents a certain number of things. It might not be accurate. It is almost similar to a bar chart. While using the pictures to represent the data, a fraction of the picture can also be included. Each category has its value which can be obtained by the product of Number of times the product is used and the value of each picture. A large amount of information can be represented simply by the pictorial method of Data Handling.
Chapter 22: Data Handling- ii (Pictographs) explains in detail the steps required to draw a pictograph. Five steps are carried out. First, collect the relevant data, select the required picture or symbol, assign a key that represents the value of an image. Finally, draw the pictograph, which denotes the frequency.
The chapter ends with a slight mention of the various advantages of using a Pictograph over other methods. It says that a large amount of data can be represented easily and helps in visually understanding the statistics. In addition, it takes less time to answer the questions based on the data and does not require more information to visualize it.