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Two warnings concerning division by zero and non-initialization
of a member variable, respectively.
Both are false positives. However, Coverity is excused because
it probably doesn't understand std::vector<> and also can't
know whether the object in question is generated in a different
source file.
Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at>
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The StatsView shows the chart described by the StatsState structure.
It is based on a QML ChartView. This should make it possible to
easily port to mobile. It does not include any of the UI around
the chart, viz. the variable and chart selection, etc.
The code checking for the statistical significance of the regression
line was written by Willem.
Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at>
Signed-off-by: willemferguson <willemferguson@zoology.up.ac.za>
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The StatsState structure fully describes the current state of
the chart: the selected axes, operations and additional chart
features, such as legend or labels.
The code implements sanity checks and reacts accordingly,
if an invalid combination of variables and charts is chosen.
The chart and variable lists to be displayed can be queried
and are encapsulated in the StatsState::UIState structure.
Some variable / chart combinations are possible, but not
recommended, which is represented by a warning flag.
Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at>
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Implement a simple scatter series for plotting two numerical variables
agains each other. Since the scatter symbols may overlap, on hover
multiple dives are shown in the information box. If the box
would become too large, only the first few dives are shown followed
by "and X more".
Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at>
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Implement a simple count-based pie chart. Percentage labels
are shown in the pie slices, the names outside the pie slices.
On hovering over a slice, the actual counts are shown.
Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at>
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Implements a simple box-and-whisker series to display
quartile based data. When hovering over a box-and-whiskers
item the precise data of the quartiles is shown.
Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at>
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Implement a bar series, which can plot stacked, grouped and single
bar charts in horizontal or vertical ways. On hovering over a
bar, an information is shown. The shown information depends on
whether the chart is count or value based, or is a multi-bin
chart.
Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at>
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When the user hovers over features in the chart, they should
be presented with more information. For example in bar charts
on the dives the bar represents and the exact value that the
bar represents, etc.
The InformationBox is a simple QGraphicsWidget, which can be
placed on top of QCharts and can show a number of arbitrary
text lines.
When placing the box on the chart, the code attempts to stay
inside the plot area of the chart.
Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at>
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Add a interface class for the chart series used by the statistics
module. Abstract virtual functions are declared for replotting
and selecting items.
Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at>
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Implement five kinds of axes:
- ValueAxis: a standard axis for plotting numerical linear data.
- CountAxis: a ValueAxis for plotting counts of dives.
- CategoryAxis: an axis for plotting discrete variables without
any notion of distance.
- HistogramAxis: an axis for plotting bins with a numeric value.
- DateAxis: a HistogramAxis that formats dates.
The axes derive from a common virtual base class that defines
a small interface, notably, returning the minimum and maximum
displayed value and redrawing the axis.
The mapping and painting is performed by QtCharts' axes. On
the one hand, using QtCharts turned out to be too inflexible.
On the other hand it allowed us to quickly prototype the charts.
Ultimately, we should do our own drawing of the axis.
As a testament to the inflexibility, QtCharts' axes do not
allow for repeated labels is needed for quarter-based date
charts (year, Q2, Q3, Q4, year, Q2, Q3, ...). Therefore the
code disambiguates labels by adding unicode zero-width spaces.
Wonderful.
When omitting labels due to space reasons, the histogram
axis attempts to show "preferred" labels. In the quarter
example above, it tries to show full years.
Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at>
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z-values determine the order in which objects on the chart are
painted. To reduce chaos, collect all z-values in a header file.
Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at>
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For some chart (e.g. pie charts or stacked bar charts), we want
to display a legend. QtCharts' legend interface happens to be
private and therefore is of no use.
This introduces a legend box which is implemented using
QGraphicItems, which can be placed on top of QCharts. It's very
unfancy, but works for now. If there are too many items, not
all are shown. Currently, the legend is configured to fill
at most half of the width and half of the height of the chart.
This might need some optimization.
Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at>
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Add a source file and a header file, which implement the color
scheme used by the statistics module.
Besides a few color constants, the centerpiece is a
function that returns the color representing a bin and
an appropriate label color. It picks a roughly equi-distant
set of colors out of an already balanced set of 50 candidate
colors. And it also picks white as text color when adding a
label to a segment with a dark color.
The color list was created using a tool by Gregor Aisch that
is available on GitHub as https://github.com/gka/palettes to
create multi-hued, multi-stop color scales that are safe for
color blind people.
This commit contains code from three authors.
Dirk (main author): adaptive color scheme.
Willem: Colors of single-bin charts and lines.
Berthold: Infrastructure.
Signed-off-by: Dirk Hohndel <dirk@hohndel.org>
Signed-off-by: willemferguson <willemferguson@zoology.up.ac.za>
Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at>
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The StatisticVariable class hierarchy encapsulates the concept
of a dive-variable, which can be plotted in charts either as
dependend or independend variable.
There are three types of these variables:
1) discrete: For example dive buddies or suit type.
2) continuous: Has a notion of linear metric - can be
used as histogram or scatter plot axis.
3) numeric: Like continuous, but allows for operations
such as calculating the mean or the sum over numerous
dives.
All variables support binning. The bins are defined per
variable.
Continuous variables can be converted into an arbitrary
double value, which is used to be plotted on a continuous
axis.
Moreover, numeric variables support a number of operations,
which depend on the variable.
Since binning is based on different types, the code is rather
template-heavy. Of course, this could be solved with
unions/variants and runtime-polymorphism, but using templates
was just much quicker. Notably, this uses the CRTP
(curiously recurring template pattern) where a subclass
passes itself as argument to the baseclass. This is a weird
kind of "reverse inheritance".
The StatsTranslations class is a dummy class which will
be used to collect all translations of the statistics
module.
This includes changes by Dirk to fix compilation of the
downloader.
Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at>
Signed-off-by: Dirk Hohndel <dirk@hohndel.org>
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Berthold Stoeger
Dirk Hohndel