Generate scatter correlation plot for 2 variables
scatter_2var_plot(
data_type = c("variable", "variable.locality"),
varId,
year = NULL,
unitParentId = NULL,
unitLevel = NULL,
aggregateId = NULL,
lang = c("pl", "en"),
...
)
A ggplot2 plot.
A type of data used for generating plot, "variable"(default), "variable.locality"
A vector of 2 variable Id's. Use search_variables
or
get_variables
to find variable id code.
A vector of years. If NULL
(default) returns data for all available years.
A 12 character NUTS id code of interested unit.
(Used only with data_type equal "variable" or "variable.locality")Use search_units
or
get_units
to find unit id code.
A number from 0 to 6, filters the returned unit by its level.
(Used only with data_type equal "variable")
If NULL
(default) no level filters apply. Use get_levels
to find more info.
An aggregate id. Use get_aggregates
for more info.
A language of returned data, "pl" (default), "en"
Other arguments passed on to GET
. For example
a proxy parameters, see details.
Generate quickly `ggplot2` scatter correlation plot, using BDL data.
Scatter plot 2 variables for given units with regression line, confidence interval and correlation coefficient.
To use a proxy to connect, a use_proxy
can be
passed to GET
. For example
get_request(id, filters,
config = httr::use_proxy(url, port, username, password))
.
# scatter_2var_plot(data_type = "variable" ,c("415", "60559"), unitLevel = "2")
Run the code above in your browser using DataLab