# Graphic Presentation of Data

A chart/ graph says more than twenty pages of prose, its true when you are presenting and explaining data. Graph is a visual display of data in the form of continuous curves or discontinuous lines on graph paper. Many graphs just represent a summary of data that has been collected to support a particular theory, to understand data quickly in a visual way, by helping the audience, to make a comparison, to show a relationship, or to highlight a trend.

Usually it is suggested that graphical representations of the data should be carefully looked at before proceeding for the formal statistical analysis, because trend in the data can often be depicted by the use of charts and graphs.

A chart/ graph is a graphical representation of data, in which the data is usually represented by symbols, such as bars in a bar chart, lines in a line chart, or slices in a pie chart. A chart/ graph can represent tabular numeric data, functions or some kinds of qualitative structures.

## Common Uses of Graphs

Presenting the data in graph is a pictorial way of representing relationships between various quantities, parameters, variables. A graph basically summarizes how one quantity changes if another quantity that is related to it also changes.

1. Graphs are useful for checking assumptions made about the data i.e. the probability distribution assumed.
2. The graphs provide a useful subjective impression as to what the results of the formal analysis should be.
3. Graphs often suggest the form of a statistical analysis to be carried out, particularly, the graph of model fitted to the data.
4. Graphs gives a visual representation of the data or the results of statistical analysis to the reader which are usually easily understandable and more attractive.
5. item Some graphs are useful for checking the variability in the observation and outliers can be easily detected.

## Some Important Points for Drawing Graphs

• Clearly label the axis with the names of the variable and units of measurement.
• Keep the units along each axis uniform, regardless of the scales chosen for axis.
• Keep the diagram simple. Avoid any unnecessary details.
• A clear and concise title should be chosen to make the graph meaningful.
• If the data on different graphs are to be measured always use identical scales.
• In the scatter plot, do not join up the dots. This makes it likely that you will see apparent patterns in any random scatter of points.
• Use either grid rulings or tick marks on the axis to mark the graph divisions.
• Use color, shading, or pattern to differentiate the different sections of the graphs such as lines, pieces of the pie, bars etc.
• In general start each axis from zero; if the graph is too large, indicate a break in the grid.

further reading about Graphic Presentation of data go to https://en.wikipedia.org/wiki/Chart

#### The Author

Student and Instructor of Statistics and business mathematics. Currently Ph.D. Scholar (Statistics), Bahauddin Zakariya University Multan. Like Applied Statistics and Mathematics and Statistical Computing. Statistical and Mathematical software used are: SAS, STATA, GRETL, EVIEWS, R, SPSS, VBA in MS-Excel. Like to use type-setting LaTeX for composing Articles, thesis etc.

1. I am genuinely delighted to read this web site posts which
includes tons of valuable data, thanks for
providing such statistics.

2. WOW just what I was looking for. Came here by searching for chart