Throw away photos and maps!
Kind of like those Facebook Live videos, I have added an “expiration” date to maps, photos and other contents I upload to the blog, so that certain things that make sense in short term but expire — like weather forecasts or maps will automatically be deleted after a certain date. That keeps me less worried about cluttering things up, knowing old content will automatically deleted after a set date if I so desire.
Real Property Tax Law 1590 requires that municipalities post their tax rolls, within 10 days of the proposed and final rolls being approved. Below is an R script that will extract the reports into a Shapefile for use in a GIS program or as a Excel Spreadsheet. Previously, I posted a PHP version of this script. Both versions can also be found on my GitHub.
This R script uses three R packages — tidyverse, pdftools and sf. It does not require any external dependencies and should work on Mac OS, Linux or Windows if you have free RStudio program installed.
You can install the required R packages using: lapply(c('tidyverse', 'pdftools', 'sf'), install.packages)
library(pdftools)
library(tidyverse)
library(sf)
pdf.text <- pdftools::pdf_text('knox_2022_final_roll.pdf')
tax.rolls <- pdf.text %>%
str_split('\\*{5,}') %>%
map(~str_trim(.))
tax.rolls <- unlist(tax.rolls, recursive = F)
tax.rolls <-
tax.rolls[str_length(tax.rolls) > 50 &
!grepl('STATE OF NEW YORK',
tax.rolls) ]
tax.rolls.formatted <-
tibble(text = tax.rolls) %>%
transmute(taxid = str_extract(text, '^.*?\\n.(.*?) ', group = 1),
property.address = str_extract(text, '^(.*?)(\\n| {2,})', group = 1),
owner = str_extract(text, '(.*?\n){2}(.*?) {2}', group=2),
acres = str_extract(text, 'ACRES *?((\\d|.)*) ', group = 1) %>%
parse_number,
property.type = str_extract(text, '^.*?\\n.*? {2,}(.*?) {2,}', group = 1),
school.district = str_extract(text, '(.*?\n){2}(.*?) {2,}(.*?) {2,}', group=3),
deed.book = str_extract(text, 'DEED BOOK(.*?)(\n| {6,})', group=1) %>% str_replace('\\s{2,}',' ') %>% str_trim,
owner.address = str_extract(text, '(.*?\n){3}(.*?) {2}', group=2),
owner.address2 = str_extract(text, '(.*?\n){4}(.*?) {2}', group=2),
owner.address3 = str_extract(text, '(.*?\n){5}(.*?) {2}', group=2),
land.assessment = str_extract(text, '(.*?\n){2}(.*?) {3,}(.*?) {2,}(.*?) {2,}', group=4) %>%
parse_number,
total.assessment = str_extract(text, 'TOWN.*?VALUE {4,}(.*?)\n', group=1) %>%
parse_number,
full.market.value = str_extract(text, 'FULL.*?MARKET.*?VALUE *?(.*?)(\\n|$)', group=1) %>%
parse_number,
town.taxable.value = str_extract(text, 'TOWN.*?TAXABLE.*?VALUE(.*?)\n', group = 1) %>%
parse_number,
city.taxable.value = str_extract(text, 'CITY.*?TAXABLE.*?VALUE(.*?)\n', group = 1) %>%
parse_number,
county.taxable.value = str_extract(text, 'COUNTY TAXABLE VALUE(.*?)\n', group = 1) %>%
parse_number,
school.taxable.value = str_extract(text, 'SCHOOL.*?TAXABLE.*?VALUE(.*?)\n', group = 1) %>%
parse_number,
ag.dist.law = paste(str_extract(text,
'(MAY BE SUBJECT TO PAYMENT)', group=1),
str_extract(text,
'(UNDER .*?) {2,}', group=1)
),
north = str_extract(text, 'NRTH-(\\d*)', group=1) %>%
parse_number %>% replace_na(0),
east = str_extract(text, 'EAST-(\\d*)', group=1) %>%
parse_number %>% replace_na(0),
) %>%
# ny long island crs 32014, ny east crs 32015, ny central crs 32016, ny west crs 32017
st_as_sf(coords=c('east','north'), crs=32015)
tax.rolls.formatted %>%
write_sf('/tmp/taxroll.shp')
tax.rolls.formatted %>%
write_sf('/tmp/taxroll.csv')
One of the most maligned tastes these days is bitterness. It’s the state of having a sharp, pungent taste or smell; not sweet or salty. It’s a natural thing, not coated with sugar and salt like so many things in our world today.