java qr code app THE CHART DISTRIBUTION in Java

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THE CHART DISTRIBUTION
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The Chart distribution, originally by David Bonner, and now maintained by Peter Clark, is a collection of charting classes very much like GD::Graph. In fact, the documentation states that it originally borrowed most of its API from GIFgraph. The chart types that are supported are:
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Chart::Points Chart::Lines Chart::Bars Chart::LinesPoints Chart::Composite Chart::Pareto Chart::StackedBars Chart::Pie points chart, or scatter graph line chart bar chart line and points chart a composite of the above a sorted bar chart bar chart with cumulative effect pie chart
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CREATING CHARTS
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Most of these are comparable to the equivalents in the GD::Graph module, and their use is fairly similar as well. Since the Pareto chart is unique to this module, we ll have a look at an example that creates one. 5.2.1
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Pareto charts
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Charts of this type are named after the Italian economist Vilfredo Pareto (1848 1923), who noticed that 80 percent of wealth is owned by 20 percent of the people. The Pareto chart or diagram presents its data in a hierarchical order, which shows the most significant data first. This is a very useful tool in quality assurance and fault detection processes, because it allows one to quickly discern which of the data is the most significant, and would therefore be best to look at first. It is also often used in a more general sense to find out which factors are the largest contributors to a certain effect. Pareto charts normally take the shape of a bar chart, with the bars representing the measured points. They will often contain a line, which denotes the cumulative contribution of all bars as a percentage. In most implementations, the least significant data points are grouped together in a category other. Suppose that you are a marine biologist, and your current task is to find out what exactly is causing the depletion of a certain nematode worm in Cat s Head Bay. To do so, you dive into the water, and start identifying species of underwater life that eat these worms. You count the number of individuals of all represented species, and multiply that by the mass of worms each individual needs on a daily basis, to get a biomass count. You discover that there is a chemical factory in the vicinity, and you analyze the effluent coming from it. You notice that there is a component in this factory s effluent that causes nematode worms to die, and rather quickly. Luckily, you find data that relates the concentration of this chemical to death rates in nematode worms, so that you can calculate the number of worms dying per day in Cat s Head Bay as a result of this effluent. Once you have identified all sources of nematode death, you write a report. Of course, you need to have a chart in your report showing a graphical representation of your findings, so you write the following program:10
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use strict; use Chart::Pareto; my $chart = Chart::Pareto->new(); while (my @data = get_data()) { $chart->add_pt(@data); } $chart->gif("Pareto.gif");
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The get_data() method has been deliberately left out of this listing. It simply gets an X and Y value from some data store.
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THE CHART DISTRIBUTION
Figure 5.5 Pareto chart of nematode worm mortality in Cat s Head Bay. This chart shows us that Furbies are the largest killers of nematode worms, and that the top 5 killers are responsible for 93% of the nematode deaths.
It can be clearly seen from figure 5.5 that Furbies are the main cause of nematodic death in Cat s Head Bay.
PGPLOT
The PGPLOT module is the Perl interface to the PGPLOT graphics library. It used to be known as pgperl before Perl 5, but changed its name when modules became a possibility. PGPLOT is a high-level graphics package for plotting two-dimensional data sets, functions, histograms, contour maps and images. It is the de facto plotting package for astronomers around the world, and has many applications in other scientific areas. Unfortunately, it seems to be rarely used outside of academic institutes. The PGPLOT library[20] was written by Tim Pearson of the Astronomy department of the California Institute of Technology. It has been in existence for a while and is very stable.11 It is written in Fortran which explains the short function names but also comes with a C-callable interface, which is what the PGPLOT module uses. The Perl interface to the PGPLOT library is provided by Karl Glazebrook, who is also one of the driving forces behind the Perl Data Language (PDL). The source distribution of the PGPLOT library comes with a wealth of examples, spread out over a number of Fortran demo programs. The PGPLOT module distribution also includes example code in the test files. The best way to become acquainted with the API is to read those example programs, while keeping an eye on the user s manual, which is available from the PGPLOT home page (see [20]).
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