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The NYCHA Housing Maintenance Code Violations dataset provides information about maintenance violations in public housing developments across New York City.
This dataset is important because it helps researchers, policymakers, and residents understand housing conditions and identify patterns in maintenance issues.
## # A tibble: 6 × 35
## viol_seq_no bldg_id boro boro_nm phn low_hus_no high_hus_no str_nm zip
## <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 18641047 671394 4 QUEENS 69-01 69-01 69-15 KISSENA… 11367
## 2 18641048 671394 4 QUEENS 69-01 69-01 69-15 KISSENA… 11367
## 3 18641286 807996 3 BROOKLYN 35 35 53 DWIGHT … 11231
## 4 18641287 807996 3 BROOKLYN 35 35 53 DWIGHT … 11231
## 5 18641288 807996 3 BROOKLYN 35 35 53 DWIGHT … 11231
## 6 18641289 807996 3 BROOKLYN 35 35 53 DWIGHT … 11231
## # ℹ 26 more variables: development_name <chr>, tds_no <chr>,
## # stairhall_no <chr>, sctn_boro <chr>, sctn_boro_nm <chr>, sctn_hus_no <chr>,
## # sctn_str_nm <chr>, sctn_zip <chr>, actl_unit_insp <chr>, actl_stry <chr>,
## # blk <chr>, lot <chr>, viol_desc <chr>, hzrd_clas <chr>, insp_dt <chr>,
## # viol_appr_dt <chr>, viol_typ_ordr_no <chr>, issued_in_err <chr>,
## # latitude <chr>, longitude <chr>, community_board <chr>,
## # council_district <chr>, bin <chr>, bbl <chr>, census_tract <chr>, …
## # A tibble: 5 × 2
## boro_nm n
## <chr> <int>
## 1 BRONX 244
## 2 BROOKLYN 721
## 3 MANHATTAN 941
## 4 QUEENS 225
## 5 STATEN ISLAND 24
data %>%
count(boro_nm) %>%
ggplot(aes(x = boro_nm, y = n)) +
geom_col() +
labs(
title = "Number of NYCHA Violations by Borough",
x = "Borough",
y = "Number of Violations"
)These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.