Meta

property value
dataset name 1990-1999 Building Permit Listing
data source State of Missouri
data level City
description listing of building permits for new construction, demolition and additions/alterations/repairs and their characteristics
permalink https://data.kcmo.org/Construction/1990-1999-Building-Permit-Listing/4hr8-fgbf
dataset key 4hr8-fgbf
number of records 41818
number of variables 47

Sample

##   council_district permit_value :created_at school_district number month
## 1               NA            0  1362414516              NA   5201     3
## 2               NA         2200  1362414516              NA   2737     4
## 3               NA        10000  1362414516              NA   2737     4
## 4               NA        21402  1362414516              NA   2737     2
## 5               NA        10000  1362414516              NA   1100     4
## 6               NA         4000  1362414516              NA   1100    11
##   county prefix owner_name year dwelling_units_gained_or_lost :position
## 1     NA      E         NA 1991                             1         1
## 2     NA     NE         NA 1990                             0         2
## 3     NA     NE         NA 1990                             0         3
## 4     NA     NE         NA 1994                             0         4
## 5     NA     NW         NA 1992                             0         5
## 6     NA     NW         NA 1993                             0         6
##   suffix pin :updated_at :created_meta         res_non fraction
## 1     ST  NA  1362414516        701271     Residential       NA
## 2     ST  NA  1362414516        701271 Non-Residential       NA
## 3     ST  NA  1362414516        701271 Non-Residential       NA
## 4     ST  NA  1362414516        701271 Non-Residential       NA
## 5     ST  NA  1362414516        701271     Residential       NA
## 6     ST  NA  1362414516        701271     Residential       NA
##   structure_class how_far_north                            type
## 1              NA       1043511                      Demolition
## 2              NA       1100459 Additions, Alterations, Repairs
## 3              NA       1100459 Additions, Alterations, Repairs
## 4              NA       1100459 Additions, Alterations, Repairs
## 5              NA       1103037 Additions, Alterations, Repairs
## 6              NA       1103037 Additions, Alterations, Repairs
##           sf_mf project_description parcel applicant_representative
## 1 Single Family                  NA     NA                       NA
## 2            NA                  NA     NA                       NA
## 3            NA                  NA     NA                       NA
## 4            NA                  NA     NA                       NA
## 5            NA                  NA     NA                       NA
## 6            NA                  NA     NA                       NA
##   :updated_meta :sid day applicant_name legal_description
## 1        701271    1  14             NA                NA
## 2        701271    2  12             NA                NA
## 3        701271    3  27             NA                NA
## 4        701271    4  17             NA                NA
## 5        701271    5  17             NA                NA
## 6        701271    6   2             NA                NA
##   class_description subdivision  name how_far_east
## 1                NA          NA    51      2781803
## 2                NA          NA  52ND      2775809
## 3                NA          NA  52ND      2775809
## 4                NA          NA  52ND      2775809
## 5                NA          NA  56TH      2761551
## 6                NA          NA  56TH      2761551
##                                    :id :meta permit_number
## 1 39FE28B7-018A-4F91-9DEB-331320E504C1  {\n}       9112266
## 2 FF6F353B-3722-463D-9397-6827A02412B7  {\n}       9013776
## 3 6A8A9868-E357-4617-8E01-BFB7522F3D95  {\n}       9014423
## 4 EE0522A3-164E-47DB-A95D-94979FD49889  {\n}       9411715
## 5 CE000CC1-7B3A-45BD-B5A7-4B5D960AD329  {\n}       9213998
## 6 F5D432C5-C65F-4D32-B8DC-2B846A11C522  {\n}       9321410
##   location_2.latitude location_2.needs_recoding
## 1                  NA                      TRUE
## 2                  NA                      TRUE
## 3                  NA                      TRUE
## 4                  NA                      TRUE
## 5                  NA                      TRUE
## 6                  NA                      TRUE
##                       location_2.human_address location_2.machine_address
## 1 {"address":"","city":"","state":"","zip":""}                         NA
## 2 {"address":"","city":"","state":"","zip":""}                         NA
## 3 {"address":"","city":"","state":"","zip":""}                         NA
## 4 {"address":"","city":"","state":"","zip":""}                         NA
## 5 {"address":"","city":"","state":"","zip":""}                         NA
## 6 {"address":"","city":"","state":"","zip":""}                         NA
##   location_2.longitude location_1.latitude location_1.needs_recoding
## 1                   NA                  NA                      TRUE
## 2                   NA                  NA                      TRUE
## 3                   NA                  NA                      TRUE
## 4                   NA                  NA                      TRUE
## 5                   NA                  NA                      TRUE
## 6                   NA                  NA                      TRUE
##                                      location_1.human_address
## 1    {"address":"5201 E 51 ST","city":"","state":"","zip":""}
## 2 {"address":"2737 NE 52ND ST","city":"","state":"","zip":""}
## 3 {"address":"2737 NE 52ND ST","city":"","state":"","zip":""}
## 4 {"address":"2737 NE 52ND ST","city":"","state":"","zip":""}
## 5 {"address":"1100 NW 56TH ST","city":"","state":"","zip":""}
## 6 {"address":"1100 NW 56TH ST","city":"","state":"","zip":""}
##   location_1.machine_address location_1.longitude
## 1                         NA                   NA
## 2                         NA                   NA
## 3                         NA                   NA
## 4                         NA                   NA
## 5                         NA                   NA
## 6                         NA                   NA

Missing Values

Variables

The following variables are all NA: council_district, school_district, county, owner_name, pin, fraction, structure_class, project_description, parcel, applicant_representative, applicant_name, legal_description, class_description, subdivision, location_2.latitude, location_2.machine_address, location_2.longitude, location_1.latitude, location_1.machine_address, location_1.longitude

The following variables are duplicates:

  • :position, :sid
  • :created_at, :updated_at
  • :created_meta, :updated_meta
  • location_2.needs_recoding, location_1.needs_recoding

permit_value

Distribution

Summary statistics

statistic value
Min. 25
1st Qu. 6000
Median 37000
Mean 118100
3rd Qu. 87700
Max. 47890000
NA’s 1

number

Distribution

Summary statistics

statistic value
Min. 0
1st Qu. 1816
Median 4414
Mean 4882
3rd Qu. 7504
Max. 16400

month

Distribution

Frequency table

prefix

Distribution

Frequency table

year

Distribution

Frequency table

dwelling_units_gained_or_lost

Distribution

Frequency table

suffix

Distribution

Frequency table

res_non

Distribution

Frequency table

how_far_north

Distribution

Summary statistics

statistic value
Min. 971900
1st Qu. 1045000
Median 1065000
Mean 1073000
3rd Qu. 1113000
Max. 1161000

type

Distribution

Frequency table

sf_mf

Distribution

Frequency table

day

Distribution

Frequency table

name

Distribution of top 50 variables

Frequency table of top 100 variables

how_far_east

Distribution

Summary statistics

statistic value
Min. 2721000
1st Qu. 2762000
Median 2769000
Mean 2770000
3rd Qu. 2779000
Max. 2821000

permit_number

Distribution

Summary statistics

statistic value
Min. 9010000
1st Qu. 9221000
Median 9518000
Mean 23200000
3rd Qu. 9809000
Max. 200000000

location_2.human_address

Distribution

Frequency table

location_1.human_address

Distribution of top 50 variables

Frequency table of top 100 variables