SharpPlot Tutorials > Chart Samples > Tower charts for 3D bars

Tower charts for 3D bars

Towercharts are good for visual impact, but are rarely an effective way to present numbers where the values are important. These examples parallel some of the examples in the tutorial on tables, as a Towerchart is really just a simple way to present a two-way tabulation in visual form.

A Simple Towerchart from Arrays of Data

SharpPlot expects the data as an array of arrays of values – each inner array is plotted parallel to the X-axis and they work back towards the backplane. This means that they are best drawn with the smaller values in the earlier arrays, each of which is itself arranged from larger to smaller values – this way the towers are less likely to hide each other.

towers = new int[][]{new int[]{8,7,6,5},new int[]{12,11,10,9},new int[]{16,15,14,13}};

sp.SetMargins(48,12,24,0);

sp.Heading = "Simple Towerchart";
sp.SetXLabels(new string[]{"North","South","East","West"});
sp.SetYLabels(new string[]{"Coats","Hats","Scarves"});

sp.TowerChartStyle = TowerChartStyles.WallShading;

sp.DrawTowerChart(towers);

Note that both the X and Y axes simply display the towers in sequence – there is no equivalent of XBarchart available here to allow towers to be placed in specific places on the XY grid. The axes will be automatically labelled with the tower number unless you give your own labels (as here).

Using Towers to Summarise Data

This example displays a one-way summary in a style very like the Excel Column chart. The perspective drawing has been turned off here to give the effect of an isometric projection.

housetype = new int[] {1,2,2,3,3,2,1,1,2,4,4,1,2,2,3,2,1,1,2,3,1,1,4,3,1,2,2,2,4};
price = new int[] {60500,47500,46000,110000,148000,65000,79950,54000,120000,85000,
         65000,55000,70000,82500,78500,49950,46950,46950,77000,102000,37500,68000,
         65000,145000,98000,75000,96500,53950,75000};

sp.Heading = "Maximum Price by House Type";

sp.GroupBy(housetype,GroupByFunction.Maximum);
sp.SetXLabels(new string[]{"Terrace","Semi","Detached","Bungalow"});

// Force isometric and horizontal X-Axis
sp.SetViewpoint(8,0,80);
sp.Perspective = 0;

sp.TowerChartStyle = TowerChartStyles.WallShading|TowerChartStyles.GridLines;

sp.ZFactor = 1000;
sp.ZCaption = "£Thousand";
sp.ZAxisStyle = ZAxisStyles.AtEndCaption;
sp.DrawTowerChart(price);

Note that the X-axis labels have been explicitly set here – for text categories they would be automatically created as the distinct elements in the group.

Two-way Summary shown as Towers

You can think of a Towerchart as a grouped barchart, with the splitting working away from the X-axis, rather than into collections of narrow bars.

region = new string[]{"North","North","North","North","South","South","South",
         "South","South","South","South","South"};
regions = new string[]{"South","North"};

month = new string[]{"Jan","Mar","May","Aug","Jan","Feb","Mar","May","Jun","Jul","Oct","Dec"};
sales = new int[] {3,4,3,5,4,2,5,4,3,5,4,1};
months = new string[]{"Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct",
         "Nov","Dec"};

sp.Heading = "Total Monthly Sales by Region";
sp.GroupBy(month,months);  // Sum is default
sp.SplitBy(region,regions);

sp.XAxisStyle = XAxisStyles.AngledLabels;
sp.YAxisStyle = YAxisStyles.AngledLabels;

sp.TowerChartStyle = TowerChartStyles.WallShading|TowerChartStyles.GridLines;
sp.DrawTowerChart(sales);

Towers are normally drawn with relatively few parallel sets of columns, so it is generally best to have the category with most entries as the ‘groups’ and the one with fewer entries as the ‘split’.

Adding Visual Pizzazz

This final chart shows some simple effects with gradient fills which can be used to add that ‘designer’ look to the chart.

towers = new int[][]{new int[]{8,7,6},new int[]{12,11,10},new int[]{16,15,14},new 
         int[]{21,18,15}};

sp.SetMargins(12,6,18,0);

sp.TowerChartStyle = TowerChartStyles.WallShading|TowerChartStyles.GridLines|
         TowerChartStyles.Plain;
sp.ZAxisStyle = ZAxisStyles.ForceZero;

sp.SetTowerFillStyles(FillStyle.Saturate20,FillStyle.GradientBottomRight,FillStyle.Solid);
sp.SetWallFillStyles(FillStyle.GradientBottomRight,FillStyle.GradientBottomLeft,
         FillStyle.GradientTopLeft);
sp.SetViewpoint(22,15,50);

sp.TowerAspect = 2;
sp.BarEdgeNib = 0;

sp.DrawTowerChart(towers);

For charts rendered as vector graphics (SVG, VML etc) this adds very little to the size of the output file. For images (such as PNG) it will greatly increase the file size as the image compression will find very few areas of solid color.

Summary

The Towerchart is a good presentational tool for small amounts of data which falls naturally into categories. It is often necessary to arrange the categories to put the bigger towers at the back, as it is very easy to obscure data otherwise.

Send comments on this topic
© Dyalog Ltd 2021