Data visualization techniques

Visualization is the use of computer-supported, visual representation of data. Unlike static data visualization, interactive data visualization allows users to specify the format used in displaying data. Common visualization techniques are as shown in fig.

Common used Data Visualization Techniques

1. Line Graph -This shows the relationship between items. it can be used to compare changes over a period of time.
2. Bar Chart -  This is used to compare quantities of different categories.
3. ScatterPlot - This is a two-dimensional plot showing the variation of two items.
4. Pie Chart - This is used to compare the parts of a whole.

Thus, the format of graphs and charts can take the form of a bar chart, pie chart, line graph, etc. It is important to understand which chart or graph to use for your data.

Data visualization uses computer graphics to show patterns, trends, and relationships among elements of the data.  It can generate pie charts, bar charts, scatterplots, and other types of data graphs with simple pull-down menus and mouse clicks. Colors are carefully selected for certain types of visualization. When color is used to represent data, we must choose effective colors to differentiate between data elements.

In data visualization, data is abstracted and summarized. Spatial variables such as position, size, and shape represent key elements in the data. A visualization system should perform a data reduction, transform, and project the original dataset on a screen.

It should visualize results inthe form of charts and graphs and present results in user-friendly way.