Following points must kept in mind while presenting Research Data;

## Tables and graphs:

When significant amounts of quantitative data are presented in a report or publication, it is most effective to use tables and/or graphs. Tables permit the actual numbers to be seen most clearly, while graphs are superior for showing trends and changes in the data.

## Line diagram:

Of all forms of graphic presentation of statistical data line diagram is the simplest one. A line diagram is one in which the frequency distribution is presented in the form of a series of lines in a graph sheet. The heights of these lines are equal to or in proportion to the frequencies of the class. The lines are erected at the midpoints of the class intervals.

## Construction of Pie Chart:

### Step 1:

Taking the data to be charted, calculate the percentage contribution for each category. First, total all the values. Next, divide the value of each category by the total. Then, multiply the product by 100 to create a percentage for each value.

### Step 2:

Draw a circle. Using the percentages, determine what portion of the circle will be represented by each category. This can be done by eye or by calculating the number of degrees and using a compass. By eye, divide the circle into four quadrants, each representing 25 percent.

### Step 3:

Draw in the segments by estimating how much larger or smaller each category is. Calculating the number of degrees can be done by multiplying the percent by 3.6 (a circle has 360 degrees) and then using a compass to draw the portions.

### Step 4:

Provide a title for the pie chart that indicates the sample and the time period covered by the data. Label each segment with its percentage or proportion (e.g., 25 percent or one quarter) and with what each segment represents (e.g., people who returned for a follow-up visit; people who did not return).

January 07, 2018