Nick Kobel plnnr
plnnr
/ chas_t1+t11+T14+T15_summary_function.R
Last active
August 2, 2018 18:24
Code containing functions that cleanup CHAS data and reports summary characteristics for Table 1 (income by race) and Table 11 (detailed income distribution) and for Tables 14 and 15 (vacant/available units and units being rented by income range). Demonstrates how to use code with examples for Portland MSA and sub-geographies. CHAS (Comprehensiv…
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| ## Table of contents for CHAS data tables | |
| # T1: Income x race (x housing problems x tenure) | |
| # T2: Income x race (x severe housing problems x tenure) | |
| # T3: Income x housing problem severity, ordered (x tenure) | |
| # T4: Household type x household size x housing problems (x tenure) | |
| # T5: Income x elderly occupant x housing problems (x tenure) | |
| # T6: DISCONTINUED (Income x disability x housing problems) | |
| # T7: Income x cost burden x household type (x tenure) | |
| # T8: Income x cost burden x facilities (x tenure) | |
| # T9: Cost burden x race (x tenure) |
plnnr
/ get_demographic_profile.R
Last active
July 31, 2018 23:43
R code to get demographic profile for 2010 and 2016 by feeding in a list of census tract FIPS codes. It also calculates median household income by aggregating tract income data and finding the pareto median.
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| library(tidyverse) | |
| library(tidycensus) | |
| library(dplyr) | |
| # Uncomment and run this code if it is your first time using tidycensus: | |
| # census_api_key("<your_key_here>", install = T) | |
| # If you do not have a Census API key, you can get one at the link below: | |
| # https://api.census.gov/data/key_signup.html | |
| variable_list = c('B08301_001', 'B08301_003', 'B08301_004', 'B08301_010', 'B08301_016', |
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