Two types of multiform, bivariate matrices are illustrated above. The first matrix has two types of representations: scatterplots and maps. The second matrix inludes maps and space filling representations. Each matrix element is a bivariate graph, which displays two variables, determined by its row and column positions. Find variable names for X-axis in scatterplots at the top of corresponding columns, and variable names for Y-axis in scatterplots at the most left of the same row. The same logic of variable positions applies to maps and space fillings. The diagonals are filled with histograms for displayed variables, since the row and column variables for those positions are the same.

There are many features, which can help you to do data exploration.

• Variable selection: you can choose which variables to display in matrix by mouse-click on the button at the top left corner of the matrix. A pop-up window will appear once you left click on that button. Now, select desirable variables by left clicking on those variable names. Mouse clicking while holding "ctrl" or "Shift" key allows you to select more than one variable. Click "Apply" button at the bottom of this pop-up window to activate the selection. Your matrix should now display any variables you just picked.
  
• Selection of observations: You can select a single or group of observations by dragging a box with holding left button of your mouse in any graphs. Once you select some observations in one graph, the selection will be broadcasted to other graphs in the matrix. Selected observations are highlighted by coloring in maps and space filling tools or solid dots in scatterplots. Draw a box at any empty space will allow you to deselect them.
• Briaviate color scheme: Scatterplots and maps are colored with bivariate color scheme, where column variables are colored in red and row variables are colored in green. The higher the value along that variable, the darker the color is. Those observations with high values in both variables are colored with dark gray, and those with low values in both variables are colored in light gray.
• Indication: Mouse over observations or counties in scatterplots and maps, one observation will be highlighted in bright green. The same observation displayed in other graphs will also be highlighted.
• Row and column position shift: Click and hold your left button of mouse over variable names, and move mouse to different position in the same row or column, you will find that the display positions of the affected variables are shifted.
• Detailed graphs: Double clicking on any graphs in the matrix, a detailed version of the same graph will pop up in a separate window. Once you've done with exploration, close the pop-up window and go back to exploration on matrix.
• Setting data ranges: Right click on scatterplots or the pop-up detailed version of scatterplot and histogram, you can change the data ranges for display.
• Classification scheme: Quantile classification is the default scheme in these matrices. Experience other classification schemes in the detailed maps and space filling tools.
• Try to explore the matrix. If anything goes wrong, or you cannot figure out what happens, you can always go back to the original setting by refreshing or reloading the web page.