Aabel Graphic Viewer and Scientific Graphing

• Structural Diagrams: Stereographic, Rose, Lineament

  Aabel supports trend, dip/plunge, and azimuth variables, and provides different graph types for stereographic or rose diagrams.

• Geospider Plots Diagram (Multi-Element Spidergram)

  Aabel is distributed with a plot definitions library that includes 34 spidergram reference plot definitions for representing geochemical data.

• Sequence Alignment Diagrams

  These diagrams are designed to plot genomic sequence alignment by mapping query sequences to target sequences.

• CCG Diagrams (Combination Column Graphs)

  This diagram is designed to permit a combination of single and/or multiple variable column graphs that reflect variation against sorted values (in an increasing order) of a common Y-axis. It is hence ideal for plotting variations against depth, time, or similar variables.

• Matrix Scatter Diagram and Related Graphs

  The matrix scatter is a highly versatile chart category that is easily created, and easily modified to display different data types.

• Binary Scatter and Related Charts

  A binary scatter chart displays the data as a set of points on an X, Y set of coordinates. You can create different plot styles from a binary scatter plot, using connecting lines and fills, or displaying the convex hulls, etc.

• X-Y, Double X/Y, and Double X-Y Scatter Series Charts

  Scatter series charts display scatter data points from one or more data series, plotted against a value axis, a category axis, or date & time.

• Ternary Scatter Charts

  Creating a ternary chart involves transforming three variables to ratios of three dependent proportions that are plotted in a 2-D simplex. Support for ternary zooming and for calculating ternary error regions is provided.

• 3-D Scatter Charts Displaying Values of a 4^th Dimension

  This chart displays the data points at intersections of X, Y, and Z values in a 3-D grid, and allows displaying values of a 4^th dimension using a color scale.

• 3-D Spinning Scatter Charts

  This chart type is suitable for exploratory pattern recognition in multivariate data.

• Stereographic Scatter Diagram

  Graph types include stereographic scatter with equal angle or equal area projection using an equatorial or polar grid.

• Polar Scatter Series

  A polar chart displays the non-directional data series (scatter plot) against variation in angles.

Aabel provides the following contouring options:

• Contour Matrix (Map View of Regularly Spaced Data

  This contour chart uses data in a matrix layout. Your worksheet is like a map, i.e., the matrix itself. Each cell value represents a Z value.

• Ternary Contour

  This is a 2-D projection of a ternary diagram that displays values of a 4^th dimension using a color scale, contouring by triangulation.

• X-Y-Z contour by triangulation

  Map view of irregularly spaced data, displaying inter-related variations in values of three variables, e.g., X and Y coordinates and Z elevation.

• Gridding: Creating a Matrix From an Unevenly Spaced Data Set

  Aabel gridder uses the n-nearest neighbors method, with or without a quadrant or octant constraint on the search pattern.

• 3-D Contour and 3-D Mesh Graphs

  These graphs are 3-D projections of regularly spaced data using a matrix layout.

• XYZ Contour Points

  This chart is a 3-D projection of irregularly spaced data, using three or more variables (contouring is by triangulation).

Basic heatmaps display a worksheet matrix layout using a color scale.

• Basic Heatmap Diagram

  In a basic heatmap diagram, the color of each cell (within the color scale applied) is determined by its values.

• Heatmaps With Optional Scaling of Z-Values

  This graph displays a basic heatmap, and allows representing the color-coded Z scale proportional to the corresponding cell values.

The Voronoi diagram subdivides the X-Y space of the chart into polygons surrounding each data point. These polygons represent the most compact division of space possible.

• Voronoi Diagram (Thiessen or Dirichlet Polygons)

  The plot types include polygons color coded by calculated area, pPolygons color coded by values of a 3^rd variable, Polygons color coded by area-normalized values of Z.

Waterfall charts are ideal for comparing variations between multiple data sets that are obtained under similar conditions.

• Waterfall Pseudo-Surface Graphs

  In this waterfall chart type, the series are represented as a pseudo-surface

• Waterfall Area and Line Series

  In the waterfall line series graph, the data series are represented using line attributes; in the waterfall area series graph, the area below the line representing each series is color-filled.

Basic bubble charts are like an X-Y scatter chart with values of a 3^rd variable displayed using the size of the bubble marker.

• Bubble Charts Displaying 3, 4, or 5 Dimensions

  Aabel bubble charts are diverse, can display values of a 4^th or 5^th variable using color scale and value labels; the bubble marker can be round or square shaped.

Spider charts, also known as radar charts, plot variations in multiple data series that represent the same factors. The multiple variables are plotted along the chart spokes (axes) from the center of the chart. Lines connect the spokes at the position of each data object, forming a spiral around the center. Each spoke represents a variable.

• Spider Charts - Stacked Area, Line Spider, Fill Spider

  Aabel provides seven spider graph types, of which one plot type is specific to data that are inherently obtained as percentage values, and one to data requiring transformation to percentage values during the plotting process (i.e., on the fly).

Polar charts can be used to display non-directional data series against variation in angles. The values of the non-directional data will be plotted proportional to the radius of the polar chart. Polar charts can be plotted using geographical or geometrical angles.

• Polar Charts - Stacked Area/Petal, Line, and Scatter Series

  Aabel provides four types of polar graphs.

Aabel provides the following column and bar charts:

• Column and Bar Charts With a Value- and a Category-Axis

  Stacked column and bar graphs compare the contribution of two or more variables to a total, across categories; clustered column and bar graphs compare values of multiple variables (displayed side-by-side), across categories.

• X-Y (Value-Axes) Column and Bar Charts

  X-Y (value axes) column and bar charts display a single-variable column/bar graph with values on both axes being treated as continuous data. In the stacked chart type, the column/bar heights represent the contribution of two or more variables to a total.

• Bar Plot of Mean, Median, Max., or Min.

  Graph types include one-way and two-way bar plots of Mean, Median, Max., or Min.

• Three-Way Mean Bar Plots

  These plots compare the response values (scores, measurements) obtained from k >=2 samples/groups, each of which representing data from pqs levels of experimental conditions.

• 3-D Column, Pyramid, Band, and Area Charts

  These charts compare trends of values across series and across categories. The X-Axis represents the category axis, the data series (different variables) are arranged along the Y-Axis, and the Z-axis represents the values of data series.

Aabel provides the following area charts:

• Area Charts With a Value- and a Category-Axis

  An area graph displays the trend of values of a variable over categories or time. Stacked area graphs display the trend of contribution of values of two or more variables to the total over categories or time.

• X-Y (Value-Axes) Area Charts

  X-Y (value axes) area charts display a single-variable area graph with values on both axes being treated as continuous data. X-Y (value axes) stacked area graphs display the trend of contribution of values of two or more variables to the total plotted against another value axis.

• X-Y Line Series Charts

  These charts display trends of values of data series over time or categories, or across sorted values of a numeric variable. The options include four chart types.

• Double X. Double Y, and Double X-Y Line Series Charts

  For these graphs, the options include six chart types.

• Paired Line Charts

  A paired X-Y line chart displays trends of values of one or more data series, each having unique X-Y coordinates (i.e., in each series, X and Y are paired).

• Line Plot of Mean, Median, Max., or Min.

  Graph types include one-way and two-way line plots of Mean, Median, Max., or Min.

• Interaction Plots (Stacked Mean Line Plots)

  Interaction plots are stacks of mean lines, used to display the effect of one factor at each level of another factor.

These charts combine a column and a line graph, a bar and a line graph, or an area and a line graph.

• Combined Column-Line and Bar-Line Charts

  This graph category includes six graph types. The two charts that are combined to create these graphs have always the same category axis, but can have either one value axis or two separate ones.

• Combined Area-Line Charts

  This chart category includes two graph types. The area and the line charts that that are combined to create these graphs have always the same category axis, but can have either one value axis or two separate ones.

These diagrams are useful for comparing the changes in values of multiple variables across a given category axis and relative to each other. These diagrams provide 16 styles of data representation, plus automatic data processing of the value axes.

• Diagrams of Multiple-X Bar Graphs

This diagram type displays multiple bar graphs each having an independent X-axis, but all sharing a common category Y-axis.

• Diagrams of Multiple-X Area Graphs

This diagram type displays multiple area graphs each having an independent X-axis, but all sharing a common category Y-axis.

• Diagrams of Multiple-Y Column Graphs

This diagram type displays multiple column graphs each having an independent Y-axis, but all sharing a common category X-axis.

Some of these charts require one categorical variable; others require continuous data for both X and Y axes.

• High-Low and Range Charts With One Categorical Axis

  High-low chart type is used to display the high and low values of one or more data series over time or across categories. Range chart type is used to show the high, low, and midpoint values of one or more data series over time or across categories.

• XY (Values Axes) High-Low and Range Charts

  In these charts, the high and low values or high, low, and midpoint values of one or more data series are plotted against a continuous variable.

• XY (Values Axes) High-Low and Range Charts

  These charts show the fluctuations in values of a given item over time, and are commonly used in market analysis.

A pie chart displays the contribution of parts to a whole, where the whole pie (or 100%) is a variable, and each pie slice is a part of the whole.

• X-Y Scatter Pie Charts

  X-Y scatter pie charts - displaying pies on an X-Y chart, i.e., each whole pie represents a worksheet row, each pie slice is a variable, and the center of each pie has a unique X-Y coordinate.

• Pie Charts

  Different options are available for scaling the pies when plotting more than one pie in a given chart pane; the options include radius (r) proportional to sum (linear or logarithmic), r² proportional to sum (linear or logarithmic), or r³ proportional to sum (linear or logarithmic).

These charts are designed to display directional vectors, e.g., direction and/or speed of wind, etc. Angles should be in degrees, and can be any number (Aabel uses angle modulus 360).

• Vector and X-Y Vector Charts

  The chart types include angle matrix vector, radius-angle matrix vector, and X-Y vector graphs.

Visit the links below for information about statistical charts:

• Quality Control Charts

  Graph types include Xbar (R), Xbar (S), R, S, p, np, c, u, Levey-Jennings chart, individual measurements, moving range.

• Mosaic and Parquet Diagrams

  Mosaic plot is a graphical method for visualizing n x m contingency tables. The areas of the mosaic tiles are proportional to the observed frequency of groups in the contingency table.

• Dot Plots

  These plots are an alternative to histograms of continuous data, in which each data point (individual observation) is plotted on a continuous. scale using a symbol (on the X-axis)

• Parallel Dot Plot of Repeated Measures

  This plot is designed to display dot plots of score (response values) form k >=2 repeated measures (dependent samples) on axes that are parallel.

• ROC Curves

  Receiver operating characteristic curves (ROC) are widely used to display a plot of the true positive rate against the false positive rate for the different possible cut-points of a diagnostic test.

• Histograms of Categorical Data

  Graph types include Frequency and relative frequency (%) of categorical or nominal data, ogive, Pareto chart, and spine plot.

• Histograms and Bihistograms of Continuous Data

  These plots display frequency, relative frequency (%), or cumulative histograms of continuous data.

• Probability Charts

  Probability charts display the cumulative distribution relative to a uniform (linear) or normal distribution function.

• Box & Whisker and Box-Percentile Charts

  Graph types include one-way and two-way box & whisker, notched box & whisker, and box-percentile (which encodes information about the shape of the distributions).

• Bar Plot of Mean, Median, Max., or Min. Values

  Graph types include one-way and two-way bar plots of mean, median, max., or min. values.

• Three-Way Mean Bar and Dot Charts

  These graphs compare the mean response values (scores, measurements) obtained from K>=2 experimental conditions for pq levels of two factors (i.e., K=pqr samples/groups).

• Line Plot of Mean, Median, Max., or Min. Values

  Graph types include one-way and two-way line plots of mean, median, max., or min. values.

• Interaction Charts

  Interaction plots are stacks of mean lines, used to display the effect of one factor at each level of another factor.

• Diamond Mean Comparison Plots

  Graph types include one-way and two-way diamond mean comparison plots.

• Bland & Altman and Paired t-Test Difference Plots

  Graph types include a plot of differences, a plot of differences as a % of averages, and a plot of ratios.

• Kaplan-Meier Survival Curves

  This plot compares the cumulative probability of survival at any specific time, with the option of displaying the censored observations.