Data handling
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1) The document discusses different ways of representing data visually including pictographs, bar graphs, pie graphs, and double bar graphs. 2) It provides examples of how to create each type of graph using sample data sets, such as using symbols to represent numbers of students in a pictograph or using bars of different heights to represent values in a bar graph. 3) The document explains that visual representations of data make the information easier to understand, compare, and remember compared to raw numerical data.
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- 2. INTRODUCTION The word ‘data’ means collection of information in the form of numerical figures, or a set of given facts. Visual representation of data will help us to understand it better and remember the facts easily.
- 3. Examples : When some information is collected and presented randomly, then it is called raw data. - The marks obtained by 10 students of a class in a test are: 76, 83, 95, 100, 56, 32, 80, 67, 75, 46 A data classified into groups is called grouped data. - The following table gives the data regarding the favourite game of 100 students of school: Sports Cricket Football Tennis Badminton No. of Students 40 30 25 5
- 4. ADVANTAGES of handling data in a systematic order Data in raw form can be represented in the form of pictures and diagrams. It makes the given data attractive to the observer. Also, it is easy to understand and to compare it with other information.
- 5. Representation of Numerical Data : Pictograph Bar graph Pie graph
- 6. PICTOGRAPH Pictographs represent data through appropriate pictures. In pictographs, the same type of symbol or picture is used to represent the data. Each symbol is used to represent a certain value. For example, one symbol may represent 25 students. The following pictograph represents the number of students coming to a college by different means of transport:
- 7. Example : Distribution of cars in the month of July, August and September :
- 8. Bar Graph A representation of data with the help of bars or rectangles in a diagram is called a bar graph or a bar diagram. Each bar = one value of data, and hence, there are as many bars as the number of values in the data Length/height of bar = value of item,
- 9. Frequency Distribution Table Grouping the raw data : Each group is called a class interval Lower Class Limit Upper Class Limit Upper Class Limit – Lower Class Limit = Width/size of class interval Frequency : no. of times a particular item appears with particular class interval Fill up the rows with tally marks and will count the total number of tally marks in each group. Number of tally marks in each group is listed in the frequency column.
- 10. Double Bar Graph A graph showing two sets of data simultaneously is called a double bar graph. It is useful for comparing two sets of data. Example : The following graph shows the strength of boys and girls in a school in different years: