Description Usage Arguments Details Value Examples
year_sector_data
is the class used for the creation of tables
3.1, 4.1, 4.5, and 5.1 of the DCMS Sectors Economic Estimate
(https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/544103/DCMS_Sectors_Economic_Estimates_-_August_2016.pdf).
1 2 | year_sector_data(x, log_level = futile.logger::WARN,
log_appender = "console", log_issues = FALSE)
|
x |
Input dataframe, see details. |
log_level |
The severity level at which log messages are written from
least to most serious: TRACE, DEBUG, INFO, WARN, ERROR, FATAL. Default is
level is INFO. See |
log_appender |
Defaults to write the log to "console", alternatively you
can provide a character string to specify a filename to also write to. See
for additional details |
log_issues |
should issues with the data quality be logged to github?
See |
The year_sector_data
class expects a data.frame
with three
columns: sector, year, and measure, where measure is one of GVA, exports,
or enterprises. The data.frame
should include historical data, which
is used for checks on the quality of this year\'s data, and for producing
tables and plots.
Once inititated, the class has five slots: df
: the basic
data.frame
, colnames
: a character vector containing the
column names from the df
, type
: a character vector of
length(type) == 1
describing the type of data (\"GVA\", \"exports\",
or \"enterprises\") imputed from column names, sector_levels
: a
factor vector containing levels of df$sector
of the factor sector,
years
: an integer vector containing unique(df$year)
.
If the class is instantiated correctly, nothing is returned.
1 2 3 | library(eesectors)
GVA <- year_sector_data(GVA_by_sector_2016)
|
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