clean_census_data: Cleaning Census data - removing all but relevant variable and...
In fiiion/Package_FP: Scripts for functions used in fiiion/GISIII_Final_Froject
View source: R/clean_census_data.R
clean_census_data R Documentation
Cleaning Census data – removing all but relevant variable and geometries
Description
Cleaning Census data – removing all but relevant variable and geometries
Usage
clean_census_data(census_table, variable_n)
Arguments
census_table
the table of census values extracted with API key
example – pulling in census data: it should look something like this:
mpls_income2019 <- get_acs(geography = "tract", year = 2019,
variables = c(med_earn = "S2001_C01_002E"), state = "MN",
county = "Hennepin", survey = "acs5", output = "wide",
geometry = TRUE)
variable_n
the variable of interest, should be a character string
Value
a clean table with only the census variable and its geometries
Note: can be used int eh city_census_data function
fiiion/Package_FP documentation built on May 15, 2022, 12:07 a.m.
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View source: R/clean_census_data.R
| clean_census_data | R Documentation |
Cleaning Census data – removing all but relevant variable and geometries
Description
Cleaning Census data – removing all but relevant variable and geometries
Usage
clean_census_data(census_table, variable_n)
Arguments
census_table |
the table of census values extracted with API key example – pulling in census data: it should look something like this: mpls_income2019 <- get_acs(geography = "tract", year = 2019, variables = c(med_earn = "S2001_C01_002E"), state = "MN", county = "Hennepin", survey = "acs5", output = "wide", geometry = TRUE) |
variable_n |
the variable of interest, should be a character string |
Value
a clean table with only the census variable and its geometries Note: can be used int eh city_census_data function
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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