Chapter 21- Data Handling- I (Presentation of data) concentrates on arranging and presenting the given data to understand it precisely. Data handling ensures performing the required analysis on data. The obtained information or the data (collection of information) from the research or source is an observation. There are a few more terms to consider, such as frequency of observation and frequency distribution. The number of times an observation occurs is referred to as the frequency of the observation. Various information can be found easily if a set of data has been presented correctly. The frequency distribution is one of the methods to represent raw data. Tally marks are one of the useful ways to calculate the frequency of the given data.
Chapter 21- Data Handling- I (Presentation of data) explains various methods to present data. One of the common presentation methods is Tabulation. It is the first step of processing the data before analyzing it. Further, it can be classified into two components: a Simple Table and a frequency distribution table. It is defined as a systematic arrangement of data in rows and columns depending on the type of data gathered. Charts and diagrams also play an important role in representing the data. Therefore, it is better than statistical tables.
The last part of the chapter includes an introduction to the range of a given data, which can be obtained by finding the difference between the maximum and minimum figures. In the case of grouped data, the range is taken as the difference between the midpoints of the extreme categories. In most cases, bar graphs and pie charts are used in real-life situations to represent data.