racine_laus: Local Area Unemployment Data Series for Racine, Wisconsin
In higherX4Racine/hiRx: Helpful Tools for Higher Expectations' Data Work
View source: R/make_racine_laus.R
racine_laus R Documentation
Local Area Unemployment Data Series for Racine, Wisconsin
Description
A list of LAUS time series for three local areas: the state of Wisconsin and
the County and City of Racine, WI. There are four time series for each area:
Employment, Labor Force, Unemployment, and Unemployment Rate.
Usage
racine_laus
Format
A list of three data frames, each of which have 6 variables:
- Geography
a 15-character FIPS-like geocode.
- Measure
an enum from the Python package “herc.bls.laus“.
- Series
a 20-char. BLS code concatenating “Geography“ and “Measure“.
- Year
the four-digit year of the series
- Month
an ordered factor with full month names in English.
- Value
the value of the measure for the area and date.
Source
higherX4Racine/hiRx documentation built on Nov. 18, 2024, 10:20 a.m.
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View source: R/make_racine_laus.R
| racine_laus | R Documentation |
Local Area Unemployment Data Series for Racine, Wisconsin
Description
A list of LAUS time series for three local areas: the state of Wisconsin and the County and City of Racine, WI. There are four time series for each area: Employment, Labor Force, Unemployment, and Unemployment Rate.
Usage
racine_laus
Format
A list of three data frames, each of which have 6 variables:
- Geography
a 15-character FIPS-like geocode.
- Measure
an enum from the Python package “herc.bls.laus“.
- Series
a 20-char. BLS code concatenating “Geography“ and “Measure“.
- Year
the four-digit year of the series
- Month
an ordered factor with full month names in English.
- Value
the value of the measure for the area and date.
Source
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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