This was requested on the mailing list. Reduce code size somewhat
by deriving the binner and the variable classes from common
base classes with a mean-vs-max flag.
Suggested-by: Christof Arnosti <charno@charno.ch>
Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at>
The grid is based on the axis ticks. If labels in histogram
axes were skipped (because there are too many bins), it could
happen that the grid was incomplete, because the first and/or
last tick were missing. Add these explicitly.
Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at>
The info box was placed either above or below the mouse-pointer.
If the pointer is at the center and the infobox higher than
half the chart, it would cross the border. Detect this case
and place the info box at the center.
Same logic for right/left, though that should typically not
happen.
Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at>
The coordinates of these were calculated when creating the feature.
This is wrong, because the min/max values of the axes can change
on resize to get "nice" number. Therefore, recalculate after resizing.
This means that the general "LineMarker" class has to be split into
two classes, one for regression lines and one for median/mean
markers.
Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at>
Easy enough to implement, but one weirdness:
To get the height of the rotated text, one has to access the
width() member of the boundingRect. I'm not sure if that makes
sense, but so be it.
Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at>
Replace by custom implementation, with the ultimate goal to
remove the QtCharts module. This doesn't yet display axis
titles or a grid.
Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at>
Signed-off-by: Dirk Hohndel <dirk@hohndel.org>
The bars were set to the z-value of the labels. Not an issue,
since the labels are generated after the bars and therefore
plot later. Still, do the right thing.
Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at>
Since we want to get rid of QtCharts, we have to render our own
title. Simply keep around a QGraphicsSimpleTextItem and put in
the center of the chart. Define the borders to the scene as
constants.
Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at>
Signed-off-by: Dirk Hohndel <dirk@hohndel.org>
In the future we want to use our own axis implementation to
convert from/to screen coordinates. For this purpose, we
need to save the axes with the series. Especially if we want
to support multiple series on different axes.
Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at>
The chart was passed as argument to the function recalculating
the axis labels. Instead, pass the chart in the constructor of
the axes and save it. This gains us flexibility for the future:
There will be more functions that need to access the chart (e.g.
resizing of the axes).
Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at>
We don't really give a user visible error message which is kind of a problem,
but at least we don't crash anymore.
Signed-off-by: Dirk Hohndel <dirk@hohndel.org>
Recently code was added to reset variable 1 binner if the second
variable does not support an unbinned first variable.
It forgot to check whether a binner was already set. Do this.
But validate the old binner first!
This code is extremely fragile and will have to be redone.
Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at>
A steep regression line would shoot out of the chart. Therefore,
clip to the y = minY and y = maxY lines.
QtGraphicsScene has its own clipping routines, but they are
very general, so let's do this trivial case by hand.
Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at>
Dirk says rounded corners look better. This now looks a bit
extreme to me and probably the border size should be increased.
Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at>
For better visual guidance, format labels as "count (percentage)"
in horizontal bar charts. In vertical bar charts two lines are used
anyway.
Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at>
After each column, instead of setting the new x-variable, the
new value was added to the old value. This led to ever increasing
gaps.
Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at>
The old ways was to select the chart first, then depending on
the chart choose the binning.
Willem says that it should work the other way round: select
the binning (or operation) and make the charts depend on
that.
I'm not arguing one way or the other, just note that the new
way is much more tricky, because it is easy to get unsupported
combinations. For example, there is no chart where the
first variable is unbinned, but the second axis is binned
or has an operation. This makes things distinctly more tricky
and this code still needs a thorough audit.
Since this is all more tricky, implement a "invalid" chart
state. Ideally that should be never shown to the user, but
let's try to be defensive.
Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at>
Qt's comboboxes are controlled by models, there's no way around
that. To customize the chart-selection widget this must therefore
be abstracted into a model. On the upside, this hopefully can
be used for desktop and mobile.
The model provides icons and paints a warning-symbol on it
if the statistics core code deems the chart to be not recommended.
Notably, when plotting a categorical bar chart against a
numerical value (in such a case histograms are preferred).
Includes a fix for a silly oversight in CMakelist.txt: add the
statstranslations.h header.
Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at>
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>
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>
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>
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>
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>
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>
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>
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>
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>
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>
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>
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>
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>
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>
