Create a new insight from the Plot section.
Examples
ds.first_name
), datasets (ds
or ds[["first_name", "last_name"]]
) or models (referenced
by name e.g. "churn-clf"
).
Inputs
Outputs
step(..., {"param": "value", ...}) -> (output)
.
Parameters
Array items
TITLE
DESCRIPTION
CHART
GRAPH
STATS
LEGEND
LEGEND_COLOR_SCALE
TABLE_CHART
Properties
dark
light
plot
all
Array items
title
description
filters
drillDown
directSelectionInGraph
nonPersistedColumn
True
False
Array items
start
center
end
Properties
arrow
line
solid
none
solid
dashed
Options
automatic
Options
linear
monotone
cardinal
natural
step
step-before
step-after
{ "stat": "max" }
For stats that require a param like “countWhere” or “percentOfRowsWhere” it would be:
{ "stat": "countWhere", "params": { "value": "categoryName" } }
Properties
sum
mean
variance
standardDeviation
skewness
kurtosis
min
p25
p50
p75
max
nNulls
precision
count
cumSum
nodeCount
rForeground
rForegroundColor
rForegroundX
uniqueValues
valueCount
countWhere
percentOfRowsWhere
graphext
dark
excel
fivethirtyeight
ggplot2
googlecharts
latimes
powerbi
quartz
urbaninstitute
vox
Horus
Osiris
Re
Blues
Greens
Oranges
Purples
Reds
Viridis
Magma
Plasma
Red-Blue
Blue-Orange
Red-Grey
Red-Yellow-Blue
Red-Yellow-Green
graphext
dark
excel
fivethirtyeight
ggplot2
googlecharts
latimes
powerbi
quartz
urbaninstitute
vox
dark
light
Properties
AGGREGATED_COLUMN
COLUMN
LIST_INDEX
NODE_COUNT
METRIC
SUM
AVG
VARIANCE
STDEV
MIN
P25
P50
P75
MAX
MODE
UNIQUE_VALUES
LIST
LIST_UNIQUE
CONCATENATE
COUNT
ELEMENT_COUNT
ELEMENT_MIN
ELEMENT_MAX
ELEMENT_SUM
ELEMENT_AVG
ELEMENT_VARIANCE
ELEMENT_STDEV
Properties
auto
rotate
none
Properties
AGGREGATED_COLUMN
COLUMN
LIST_INDEX
NODE_COUNT
METRIC
SUM
AVG
VARIANCE
STDEV
MIN
P25
P50
P75
MAX
MODE
UNIQUE_VALUES
LIST
LIST_UNIQUE
CONCATENATE
COUNT
ELEMENT_COUNT
ELEMENT_MIN
ELEMENT_MAX
ELEMENT_SUM
ELEMENT_AVG
ELEMENT_VARIANCE
ELEMENT_STDEV
Properties