Generate a flowchart of the history of the dataframe(s), with all the tracked data pipeline as stages in the flowchart. Multiple dataframes can be plotted together in which case an attempt is made to determine which parts are common.
p_flowchart(
.data,
filename = NULL,
size = std_size$full,
maxWidth = size$width,
maxHeight = size$height,
formats = c("dot", "png", "pdf", "svg"),
defaultToHTML = TRUE,
landscape = size$rot != 0,
...
)
the nature of the flowchart output depends on the context in which
the function is called. It will be some form of browse-able html output if
called from an interactive session or a PNG
/PDF
link if in knitr
and
knitting latex or word type outputs, if file name is specified the output
will also be saved at the given location.
the tracked dataframe(s) either as a single dataframe or as a list of dataframes.
a file name which will be where the formatted flowcharts are
saved. If no extension is specified the output formats are determined by
the formats
parameter.
a named list with 3 elements, length and width in inches and rotation. A predefined set of standard sizes are available in the std_size object.
a width (on the paper) in inches if size
is not defined
a height (on the paper) in inches if size
is not defined
some of pdf
,dot
,svg
,png
,ps
if the correct output format is not easy to determine
from the context, default providing HTML
(TRUE) or to embedding the PNG
(FALSE)
rotate the output by 270 degrees into a landscape format.
maxWidth
and maxHeight
still apply and refer to the paper width to fit
the flowchart into after rotation. (you might need to flip width and height)
ignored
Named arguments passed on to p_get_as_dot
fill
the default node fill colour, any R colour or hex value
fontsize
the default font size in points
colour
the default font colour, any R colour or hex value
rankdir
the dot rank direction (one of TB
,LR
,BT
,RL
)
rounded
should the node corners be rounded?
fontname
the font to use. Must exist on the system.
bgcolour
the background, may be "transparent", any R colour or hex value
library(dplyr)
library(dtrackr)
tmp = iris %>% track() %>% comment(.tag = "step1") %>% filter(Species!="versicolor")
tmp %>% dplyr::group_by(Species) %>% comment(.tag="step2") %>% flowchart()
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