Use of Graphical and Diagrammatic Presentation for Visualisation of Data
The graphical presentation involves the use of visual tools such as diagrams/graphs effectively summarize and display data. These visual aids help in simplifying complex datasets, making it easier to analyze, interpret, and convey information. By using graphical representations, researchers can identify trends, patterns, and relationships within the data, facilitating a clearer understanding of the results.
Tables can be classified in to five major Types. Tables can be form depending up on the nature of data and need of presentation of data.
| Sr | Graph / Diagram | Definition | Data Representation |
|---|---|---|---|
| 1 | Bar-Diagram | On Bar-diagrams data is represented in form of Bars or rectangles | Qualitative and Discrete quantitative data |
| 2 | Pie-Diagram or Circle Diagram | On Pie-Diagram data is represented on circle. | Qualitative and Discrete quantitative data. |
| 3 | Line Diagram | Line Diagram is used to visualize data points connected by straight lines. | Time related data |
| 4 | Scatter Diagram | Scatter Diagram is used to show relationship between two variables. | Both the variables are quantitative data. |
| 5 | Pictograms | A pictogram is a form of chart that represents data using images or symbols. | Qualitative and Discrete quantitative data.. |
| 6 | Hierogram | Hierogram displays data using adjacent rectangular bars. It is especially useful for understanding the shape of the data distribution. | Continuous quantitative data. |
| 7 | Frequency Curve | A frequency curve is a smooth curve that represents the distribution of frequencies for a dataset. | Continuous quantitative data. |
| 8 | Stem and Leaf plot | Stem and Leaf plot used to organizing numerical data to show its distribution. | Continuous quantitative data. |
