It is a popular method to understand correlations between variables. When the measures of the variables are increased or decreased, a scatter plot is formed. Scatter Plots - This form of plotting visualization uses a two-dimensional dot, square, or any form of marking, representing the relationship (or joint-variance) between two variables on a graph. Map representations are prevalent in sports, and in the armed forces as well. These techniques help us position objects relative to a geographical formation, buildings, and other areas. Maps - We have all heard of heat maps and dot maps. The variables in the pie-chart are compared relative to percentages they form out of the whole system, or even degrees composed out of the full circle. Pie Charts - The visualized data format helps form perspectives while comparing individual data variables to the whole system.

The bar charts can be arranged horizontally or vertically on a graph - depending on their groupings and their height, or length which depicts the value. This dependence can be called the plot function.īar charts - This data representation technique comes in handy when comparing quantities and or values of different variables. Line Plot - One of the most straightforward techniques in visualization, plotting lines between two points, highlights the relationship between two variables. Some commonly used visualization techniques are as follows. These techniques guide us in analyzing quickly from the data and forming a consensus. Data Visualization techniques are commonly used all over the world - from business powerhouses to educational institutions.

Best data visualization tools desktop