View source: R/get_vintage_data.R
get_vintage_data | R Documentation |
Function produces a data.table/dataframe of Census Bureau data. The function requires an access key issued from the Bureau.
get_vintage_data( dataset, vintage = NULL, vars, vars_init = c("GEO_ID", "NAME"), group = NULL, group_values = c("estimate", "moe"), region = NULL, regionin = NULL, na_cols = NULL, shape = "long", melt_meas = NULL, melt_values = NULL, key = Sys.getenv("CENSUS_KEY") )
dataset |
A string that sets the name of the data set of interest (e.g. "acs/acs5") |
vintage |
An optional numeric that sets the vintage of interest. |
vars |
Can be either a string vector of variable names to be acquired. Also can be a named list of string vectors to separate groups of variables. |
vars_init |
A string vector of variable names to append to |
group |
A string that names the group that has a collection of variables. A dataframe is returned in the "long" format with a factor column named "variables" with their respective values. |
group_values |
A string vector that sets the type of output values.
Permissible values are "estimate" (for estimates) "moe" (for margin of error).
The default is |
region |
A string that specifies the geography of the request.
See |
regionin |
A string that sets a qualifier for |
na_cols |
If TRUE will remove all rows with missing values. If a vector of column names/integers will check their values for missing values. |
shape |
A string that sets the shape of the returned dataframe. Permissible values are "long" (the default) or "wide". |
melt_meas |
A |
melt_values |
A Vector that assigns a value to each of the consolidated columns. |
key |
A key string issued by the Census Bureau in making data requests. |
Get Census Bureau data for a specific dataset, variables, and region in the form of a dataframe.
A data.table
Rick Dean
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