Comments (5)
What advantage would this have over simply using tigris?
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To allow people to simply have (and get familiar with) one package.
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It's certainly not a critical update - just a nice to have. The user can always just toss in one variable string.
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Closing this as a) I'd like to keep the purposes of tidycensus and tigris fairly distinct from one another, and b) not all Census geographies are supported in tidycensus, so I don't want to introduce confusion.
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Oh OK. I didn't realize that last part. Makes sense to me.
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Related Issues (20)
- Bug with get_estimates and 2021 vintage data HOT 8
- Possible Issue with get_decennial block level variables HOT 1
- Conversion of East and West longitudes for US Census Tract 02016 in Alaska HOT 2
- Question: ACS 2018-2022 HOT 2
- 2022 ACS will require 2023 TIGER geometries for congressional districts HOT 3
- Need to update `geography` column for 2018-2022 ACS variables
- get_acs() - Is there a limit of ZCTAs one can pass for the zcta argument given geography="zcta"? HOT 1
- "dp" dataset not working HOT 2
- Clarify replicate weights method for pums data HOT 3
- "HISP" breakdown labels in `get_estimates(geography = "state")` return miscoded HOT 2
- `puma` argument not working with 5-year 2018-2022 ACS PUMS HOT 7
- get_pums and/or Census API issue HOT 4
- Add documentation to load_variables() about datasets
- geography column empty for load_variables() for 2022 ACS 5-year estimate variables HOT 1
- return_vacant and 'VACS' variable not working for get_pums HOT 4
- Failed with error: ‘lazy-load database 'C:/R/win-library/4.0/tidycensus/data/Rdata.rdb' is corrupt’ HOT 2
- rate_sleep() error HOT 2
- `tidycensus::get_acs()` does not have the limitations that `tigris::zctas()` does for specifying `state` for a given `year`
- Pulling from multiple source tables with `get_acs()` causes erroneous NAs HOT 2
- Feature request to make "Margin of Error" optional in get_acs(). HOT 1
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