Overview

Dataset statistics

Number of variables29
Number of observations2359
Missing cells9927
Missing cells (%)14.5%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory569.1 KiB
Average record size in memory247.1 B

Variable types

Numeric15
Categorical8
Text6

Dataset

Description서울특별시 구로구 건축허가 현황에 관한 데이터로 연번, 건축구분, 대지위치, 지목, 대지면적(㎡), 건축면적(㎡), 연면적(㎡), 증축연면적(㎡), 건폐율(%), 용적률(%), 구조, 허가일, 착공처리일, 사용승인일, 최대지상층수, 최대지하층수, 최고높이(m), 동수, 주용도, 부속용도, 용도지역, 용도지구, 용도구역, 총주차대수, 총주차장면적(㎡), 세대수, 호수, 가구수, 데이터기준일자의 정보를 제공합니다.
Author서울특별시 구로구
URLhttps://www.data.go.kr/data/15127597/fileData.do

Alerts

Dataset has 1 (< 0.1%) duplicate rowsDuplicates
지목 is highly imbalanced (83.5%)Imbalance
구조 is highly imbalanced (68.1%)Imbalance
용도지구 is highly imbalanced (64.1%)Imbalance
용도구역 is highly imbalanced (50.1%)Imbalance
데이터기준일자 is highly imbalanced (98.8%)Imbalance
증축연면적 has 2242 (95.0%) missing valuesMissing
착공처리일 has 799 (33.9%) missing valuesMissing
사용승인일 has 673 (28.5%) missing valuesMissing
최대지하층수 has 206 (8.7%) missing valuesMissing
부속용도 has 187 (7.9%) missing valuesMissing
총주차대수 has 317 (13.4%) missing valuesMissing
총주차장면적 has 317 (13.4%) missing valuesMissing
세대수 has 1376 (58.3%) missing valuesMissing
호수 has 1866 (79.1%) missing valuesMissing
가구수 has 1893 (80.2%) missing valuesMissing
연면적 is highly skewed (γ1 = 30.02282445)Skewed
총주차장면적 is highly skewed (γ1 = 31.52478327)Skewed
최대지하층수 has 934 (39.6%) zerosZeros
최고높이 has 94 (4.0%) zerosZeros
동수 has 117 (5.0%) zerosZeros
총주차대수 has 55 (2.3%) zerosZeros
총주차장면적 has 486 (20.6%) zerosZeros

Reproduction

Analysis started2024-04-21 02:36:50.302334
Analysis finished2024-04-21 02:36:51.254296
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

Distinct2355
Distinct (%)> 99.9%
Missing3
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1177.5017
Minimum1
Maximum2355
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2024-04-21T11:36:51.326883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile117.75
Q1588.75
median1177.5
Q31766.25
95-th percentile2237.25
Maximum2355
Range2354
Interquartile range (IQR)1177.5

Descriptive statistics

Standard deviation680.26
Coefficient of variation (CV)0.57771467
Kurtosis-1.2000205
Mean1177.5017
Median Absolute Deviation (MAD)589
Skewness1.4892421 × 10-5
Sum2774194
Variance462753.67
MonotonicityNot monotonic
2024-04-21T11:36:51.437469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 2
 
0.1%
1575 1
 
< 0.1%
1568 1
 
< 0.1%
1569 1
 
< 0.1%
1570 1
 
< 0.1%
1571 1
 
< 0.1%
1572 1
 
< 0.1%
1573 1
 
< 0.1%
1574 1
 
< 0.1%
1576 1
 
< 0.1%
Other values (2345) 2345
99.4%
(Missing) 3
 
0.1%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 2
0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2355 1
< 0.1%
2354 1
< 0.1%
2353 1
< 0.1%
2352 1
< 0.1%
2351 1
< 0.1%
2350 1
< 0.1%
2349 1
< 0.1%
2348 1
< 0.1%
2347 1
< 0.1%
2346 1
< 0.1%

건축구분
Categorical

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size18.6 KiB
신축
1462 
용도변경
598 
대수선
158 
증축
 
116
가설건축물축조허가
 
21
Other values (2)
 
4

Length

Max length9
Median length2
Mean length2.6384061
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row대수선
2nd row용도변경
3rd row증축
4th row신축
5th row대수선

Common Values

ValueCountFrequency (%)
신축 1462
62.0%
용도변경 598
25.3%
대수선 158
 
6.7%
증축 116
 
4.9%
가설건축물축조허가 21
 
0.9%
<NA> 3
 
0.1%
9 1
 
< 0.1%

Length

2024-04-21T11:36:51.553188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:36:51.662360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신축 1462
62.0%
용도변경 598
25.3%
대수선 158
 
6.7%
증축 116
 
4.9%
가설건축물축조허가 21
 
0.9%
na 3
 
0.1%
9 1
 
< 0.1%

대지위치
Text

Distinct2056
Distinct (%)87.3%
Missing3
Missing (%)0.1%
Memory size18.6 KiB
2024-04-21T11:36:51.896200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length35
Mean length21.404075
Min length2

Characters and Unicode

Total characters50428
Distinct characters95
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1877 ?
Unique (%)79.7%

Sample

1st row서울특별시 구로구 구로동 30-14
2nd row서울특별시 구로구 고척동 76-41
3rd row서울특별시 구로구 구로동 586-5
4th row서울특별시 구로구 구로동 409-75 외1필지
5th row서울특별시 구로구 구로동 29-27
ValueCountFrequency (%)
구로구 2356
22.8%
서울특별시 2355
22.7%
구로동 731
 
7.1%
개봉동 489
 
4.7%
외1필지 470
 
4.5%
고척동 300
 
2.9%
가리봉동 252
 
2.4%
오류동 245
 
2.4%
외2필지 168
 
1.6%
궁동 110
 
1.1%
Other values (2025) 2879
27.8%
2024-04-21T11:36:52.269970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8000
15.9%
구 5490
 
10.9%
로 3090
 
6.1%
1 2659
 
5.3%
동 2386
 
4.7%
서 2366
 
4.7%
시 2366
 
4.7%
울 2366
 
4.7%
특 2355
 
4.7%
별 2355
 
4.7%
Other values (85) 16995
33.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29048
57.6%
Decimal Number 11149
 
22.1%
Space Separator 8000
 
15.9%
Dash Punctuation 2196
 
4.4%
Uppercase Letter 18
 
< 0.1%
Close Punctuation 8
 
< 0.1%
Open Punctuation 8
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5490
18.9%
로 3090
10.6%
동 2386
8.2%
서 2366
8.1%
시 2366
8.1%
울 2366
8.1%
특 2355
8.1%
별 2355
8.1%
지 875
 
3.0%
외 809
 
2.8%
Other values (64) 4590
15.8%
Decimal Number
ValueCountFrequency (%)
1 2659
23.8%
2 1664
14.9%
3 1420
12.7%
4 1007
 
9.0%
6 820
 
7.4%
7 816
 
7.3%
5 815
 
7.3%
0 654
 
5.9%
9 649
 
5.8%
8 645
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
C 5
27.8%
B 5
27.8%
L 5
27.8%
D 3
16.7%
Close Punctuation
ValueCountFrequency (%)
) 7
87.5%
] 1
 
12.5%
Open Punctuation
ValueCountFrequency (%)
( 7
87.5%
[ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
8000
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2196
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29048
57.6%
Common 21361
42.4%
Latin 19
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5490
18.9%
로 3090
10.6%
동 2386
8.2%
서 2366
8.1%
시 2366
8.1%
울 2366
8.1%
특 2355
8.1%
별 2355
8.1%
지 875
 
3.0%
외 809
 
2.8%
Other values (64) 4590
15.8%
Common
ValueCountFrequency (%)
8000
37.5%
1 2659
 
12.4%
- 2196
 
10.3%
2 1664
 
7.8%
3 1420
 
6.6%
4 1007
 
4.7%
6 820
 
3.8%
7 816
 
3.8%
5 815
 
3.8%
0 654
 
3.1%
Other values (6) 1310
 
6.1%
Latin
ValueCountFrequency (%)
C 5
26.3%
B 5
26.3%
L 5
26.3%
D 3
15.8%
c 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29048
57.6%
ASCII 21380
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8000
37.4%
1 2659
 
12.4%
- 2196
 
10.3%
2 1664
 
7.8%
3 1420
 
6.6%
4 1007
 
4.7%
6 820
 
3.8%
7 816
 
3.8%
5 815
 
3.8%
0 654
 
3.1%
Other values (11) 1329
 
6.2%
Hangul
ValueCountFrequency (%)
구 5490
18.9%
로 3090
10.6%
동 2386
8.2%
서 2366
8.1%
시 2366
8.1%
울 2366
8.1%
특 2355
8.1%
별 2355
8.1%
지 875
 
3.0%
외 809
 
2.8%
Other values (64) 4590
15.8%

지목
Categorical

IMBALANCE 

Distinct18
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size18.6 KiB
대
2161 
공장용지
 
48
전
 
45
잡종지
 
21
답
 
16
Other values (13)
 
68

Length

Max length5
Median length1
Mean length1.143705
Min length1

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row대
2nd row대
3rd row대
4th row대
5th row대

Common Values

ValueCountFrequency (%)
대 2161
91.6%
공장용지 48
 
2.0%
전 45
 
1.9%
잡종지 21
 
0.9%
답 16
 
0.7%
임야 13
 
0.6%
<NA> 13
 
0.6%
종교용지 10
 
0.4%
철도용지 7
 
0.3%
주차장 6
 
0.3%
Other values (8) 19
 
0.8%

Length

2024-04-21T11:36:52.395917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대 2161
91.6%
공장용지 48
 
2.0%
전 45
 
1.9%
잡종지 21
 
0.9%
답 16
 
0.7%
임야 13
 
0.6%
na 13
 
0.6%
종교용지 10
 
0.4%
철도용지 7
 
0.3%
주차장 6
 
0.3%
Other values (8) 19
 
0.8%

대지면적
Real number (ℝ)

Distinct1537
Distinct (%)65.3%
Missing4
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean2000.3046
Minimum8
Maximum229192.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2024-04-21T11:36:52.515793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile100.1
Q1195.25
median321
Q3804.5
95-th percentile7243
Maximum229192.1
Range229184.1
Interquartile range (IQR)609.25

Descriptive statistics

Standard deviation9097.0787
Coefficient of variation (CV)4.5478467
Kurtosis284.26893
Mean2000.3046
Median Absolute Deviation (MAD)173
Skewness14.210389
Sum4710717.4
Variance82756841
MonotonicityNot monotonic
2024-04-21T11:36:52.640071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
265.0 29
 
1.2%
330.0 13
 
0.6%
16529.0 12
 
0.5%
3853.0 11
 
0.5%
225.0 10
 
0.4%
96.0 9
 
0.4%
132.0 9
 
0.4%
109.0 9
 
0.4%
25756.8 8
 
0.3%
248.0 8
 
0.3%
Other values (1527) 2237
94.8%
ValueCountFrequency (%)
8.0 1
< 0.1%
18.0 1
< 0.1%
22.0 1
< 0.1%
26.0 1
< 0.1%
36.0 1
< 0.1%
40.0 2
0.1%
46.0 1
< 0.1%
49.0 1
< 0.1%
51.0 1
< 0.1%
53.0 2
0.1%
ValueCountFrequency (%)
229192.1 1
 
< 0.1%
200956.0 1
 
< 0.1%
96188.0 2
 
0.1%
75377.4 5
0.2%
61985.0 3
0.1%
58992.7 2
 
0.1%
45473.0 1
 
< 0.1%
39903.0 1
 
< 0.1%
38681.8 1
 
< 0.1%
36338.9 1
 
< 0.1%

건축면적
Real number (ℝ)

Distinct2012
Distinct (%)85.5%
Missing5
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean780.83691
Minimum0
Maximum38102.02
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2024-04-21T11:36:52.771326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile57.4595
Q1107.205
median176.2
Q3391.16
95-th percentile2669.0165
Maximum38102.02
Range38102.02
Interquartile range (IQR)283.955

Descriptive statistics

Standard deviation2792.3569
Coefficient of variation (CV)3.5761078
Kurtosis99.394846
Mean780.83691
Median Absolute Deviation (MAD)88.625
Skewness8.9434749
Sum1838090.1
Variance7797257.2
MonotonicityNot monotonic
2024-04-21T11:36:52.901682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9162.79 12
 
0.5%
2127.73 10
 
0.4%
4023.37 8
 
0.3%
10412.09 7
 
0.3%
14516.21 7
 
0.3%
764.47 7
 
0.3%
723.41 7
 
0.3%
22.15 6
 
0.3%
199.35 6
 
0.3%
2215.42 6
 
0.3%
Other values (2002) 2278
96.6%
ValueCountFrequency (%)
0.0 1
 
< 0.1%
9.0 1
 
< 0.1%
12.0 2
 
0.1%
13.22 1
 
< 0.1%
18.0 1
 
< 0.1%
19.51 1
 
< 0.1%
22.15 6
0.3%
22.43 1
 
< 0.1%
23.65 1
 
< 0.1%
24.58 1
 
< 0.1%
ValueCountFrequency (%)
38102.02 4
0.2%
36337.66 1
 
< 0.1%
34661.8 1
 
< 0.1%
33988.98 2
 
0.1%
29120.12 1
 
< 0.1%
19339.86 1
 
< 0.1%
17210.84 1
 
< 0.1%
14516.21 7
0.3%
14463.75 1
 
< 0.1%
14393.75 3
0.1%

연면적
Real number (ℝ)

SKEWED 

Distinct2064
Distinct (%)87.6%
Missing4
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean11105.312
Minimum8
Maximum3788860
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2024-04-21T11:36:53.029243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile147.825
Q1354.6
median629.15
Q31966.28
95-th percentile42238.17
Maximum3788860
Range3788852
Interquartile range (IQR)1611.68

Descriptive statistics

Standard deviation95103.388
Coefficient of variation (CV)8.5637748
Kurtosis1105.2166
Mean11105.312
Median Absolute Deviation (MAD)358.91
Skewness30.022824
Sum26153009
Variance9.0446545 × 109
MonotonicityNot monotonic
2024-04-21T11:36:53.161969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21813.1 11
 
0.5%
187744.19 11
 
0.5%
50959.81 8
 
0.3%
350051.5 7
 
0.3%
172976.12 7
 
0.3%
9999.74 7
 
0.3%
230.42 7
 
0.3%
14303.8 7
 
0.3%
13030.89 6
 
0.3%
22.15 6
 
0.3%
Other values (2054) 2278
96.6%
ValueCountFrequency (%)
8.0 1
 
< 0.1%
10.0 1
 
< 0.1%
12.0 1
 
< 0.1%
13.22 1
 
< 0.1%
18.0 2
 
0.1%
19.51 1
 
< 0.1%
22.15 6
0.3%
23.65 1
 
< 0.1%
24.58 1
 
< 0.1%
25.45 1
 
< 0.1%
ValueCountFrequency (%)
3788860.0 1
 
< 0.1%
1467987.0 2
 
0.1%
350051.5 7
0.3%
308702.89 4
 
0.2%
305934.25 5
0.2%
229988.69 1
 
< 0.1%
202569.65 1
 
< 0.1%
187744.59 1
 
< 0.1%
187744.19 11
0.5%
172976.12 7
0.3%

증축연면적
Real number (ℝ)

MISSING 

Distinct112
Distinct (%)95.7%
Missing2242
Missing (%)95.0%
Infinite0
Infinite (%)0.0%
Mean1520.1232
Minimum-187.65
Maximum30458.2
Zeros1
Zeros (%)< 0.1%
Negative2
Negative (%)0.1%
Memory size20.9 KiB
2024-04-21T11:36:53.296230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-187.65
5-th percentile4.036
Q164.6
median176.57
Q3901.35
95-th percentile6624.556
Maximum30458.2
Range30645.85
Interquartile range (IQR)836.75

Descriptive statistics

Standard deviation4332.8842
Coefficient of variation (CV)2.8503507
Kurtosis29.692804
Mean1520.1232
Median Absolute Deviation (MAD)159.73
Skewness5.1555023
Sum177854.41
Variance18773885
MonotonicityNot monotonic
2024-04-21T11:36:53.417402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64.6 6
 
0.3%
1854.44 1
 
< 0.1%
696.0 1
 
< 0.1%
334.36 1
 
< 0.1%
296.98 1
 
< 0.1%
2553.15 1
 
< 0.1%
-25.54 1
 
< 0.1%
497.23 1
 
< 0.1%
1488.86 1
 
< 0.1%
64.42 1
 
< 0.1%
Other values (102) 102
 
4.3%
(Missing) 2242
95.0%
ValueCountFrequency (%)
-187.65 1
< 0.1%
-25.54 1
< 0.1%
0.0 1
< 0.1%
1.29 1
< 0.1%
3.3 1
< 0.1%
3.78 1
< 0.1%
4.1 1
< 0.1%
4.82 1
< 0.1%
5.28 1
< 0.1%
8.0 1
< 0.1%
ValueCountFrequency (%)
30458.2 1
< 0.1%
28390.22 1
< 0.1%
15321.46 1
< 0.1%
9965.23 1
< 0.1%
9848.59 1
< 0.1%
8318.98 1
< 0.1%
6200.95 1
< 0.1%
6125.72 1
< 0.1%
4840.06 1
< 0.1%
4347.86 1
< 0.1%

건폐율
Real number (ℝ)

Distinct1195
Distinct (%)50.8%
Missing7
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean53.591642
Minimum0
Maximum350.3125
Zeros4
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2024-04-21T11:36:53.543651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile32.87
Q149.677525
median56.78
Q359.55
95-th percentile59.98
Maximum350.3125
Range350.3125
Interquartile range (IQR)9.872475

Descriptive statistics

Standard deviation12.657874
Coefficient of variation (CV)0.23619121
Kurtosis132.32194
Mean53.591642
Median Absolute Deviation (MAD)3.1
Skewness4.7561619
Sum126047.54
Variance160.22179
MonotonicityNot monotonic
2024-04-21T11:36:53.703857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59.98 30
 
1.3%
59.88 18
 
0.8%
59.97 17
 
0.7%
59.89 16
 
0.7%
59.96 16
 
0.7%
59.85 15
 
0.6%
59.93 15
 
0.6%
59.9 15
 
0.6%
59.91 15
 
0.6%
59.94 14
 
0.6%
Other values (1185) 2181
92.5%
ValueCountFrequency (%)
0.0 4
0.2%
0.02 1
 
< 0.1%
0.125 1
 
< 0.1%
0.13 1
 
< 0.1%
0.2348 1
 
< 0.1%
0.2641 1
 
< 0.1%
0.339 1
 
< 0.1%
0.84 1
 
< 0.1%
1.593 1
 
< 0.1%
2.0883 1
 
< 0.1%
ValueCountFrequency (%)
350.3125 1
 
< 0.1%
133.77 1
 
< 0.1%
117.9725 1
 
< 0.1%
112.38 3
0.1%
104.55 1
 
< 0.1%
100.3 1
 
< 0.1%
96.25 1
 
< 0.1%
94.55 1
 
< 0.1%
94.5484 1
 
< 0.1%
93.25 1
 
< 0.1%

용적률
Real number (ℝ)

Distinct1757
Distinct (%)74.7%
Missing7
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean222.64686
Minimum0
Maximum1063.09
Zeros4
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2024-04-21T11:36:53.882666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile55.1265
Q1152.92
median196.1439
Q3223.295
95-th percentile479.9645
Maximum1063.09
Range1063.09
Interquartile range (IQR)70.375

Descriptive statistics

Standard deviation145.89173
Coefficient of variation (CV)0.65526063
Kurtosis6.5701753
Mean222.64686
Median Absolute Deviation (MAD)38.0339
Skewness2.2832402
Sum523665.43
Variance21284.395
MonotonicityNot monotonic
2024-04-21T11:36:54.008119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
199.98 13
 
0.6%
199.77 12
 
0.5%
199.93 10
 
0.4%
422.44 10
 
0.4%
199.91 10
 
0.4%
199.9 10
 
0.4%
199.99 9
 
0.4%
199.94 9
 
0.4%
199.69 9
 
0.4%
199.97 9
 
0.4%
Other values (1747) 2251
95.4%
ValueCountFrequency (%)
0.0 4
0.2%
0.02 1
 
< 0.1%
0.125 1
 
< 0.1%
0.13 1
 
< 0.1%
0.18 1
 
< 0.1%
0.2348 1
 
< 0.1%
0.2641 1
 
< 0.1%
0.339 1
 
< 0.1%
0.98 1
 
< 0.1%
1.07 1
 
< 0.1%
ValueCountFrequency (%)
1063.09 3
0.1%
959.88 1
 
< 0.1%
935.96 1
 
< 0.1%
913.8093 1
 
< 0.1%
903.06 1
 
< 0.1%
887.19 1
 
< 0.1%
876.65 1
 
< 0.1%
865.01 1
 
< 0.1%
851.63 1
 
< 0.1%
845.69 1
 
< 0.1%

구조
Categorical

IMBALANCE 

Distinct18
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size18.6 KiB
철근콘크리트구조
1844 
<NA>
185 
벽돌구조
 
108
일반철골구조
 
85
철골철근콘크리트구조
 
60
Other values (13)
 
77

Length

Max length11
Median length8
Mean length7.4022891
Min length2

Unique

Unique5 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row<NA>
3rd row철근콘크리트구조
4th row철근콘크리트구조
5th row벽돌구조

Common Values

ValueCountFrequency (%)
철근콘크리트구조 1844
78.2%
<NA> 185
 
7.8%
벽돌구조 108
 
4.6%
일반철골구조 85
 
3.6%
철골철근콘크리트구조 60
 
2.5%
경량철골구조 26
 
1.1%
블록구조 21
 
0.9%
철골콘크리트구조 6
 
0.3%
일반목구조 6
 
0.3%
기타강구조 4
 
0.2%
Other values (8) 14
 
0.6%

Length

2024-04-21T11:36:54.122802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
철근콘크리트구조 1844
78.2%
na 185
 
7.8%
벽돌구조 108
 
4.6%
일반철골구조 85
 
3.6%
철골철근콘크리트구조 60
 
2.5%
경량철골구조 26
 
1.1%
블록구조 21
 
0.9%
철골콘크리트구조 6
 
0.3%
일반목구조 6
 
0.3%
기타강구조 4
 
0.2%
Other values (8) 14
 
0.6%

허가일
Text

Distinct1413
Distinct (%)60.0%
Missing3
Missing (%)0.1%
Memory size18.6 KiB
2024-04-21T11:36:54.363682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.99618
Min length1

Characters and Unicode

Total characters23551
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique812 ?
Unique (%)34.5%

Sample

1st row2024-04-02
2nd row2024-03-25
3rd row2024-03-22
4th row2024-03-21
5th row2024-03-19
ValueCountFrequency (%)
2018-07-05 11
 
0.5%
2015-01-08 7
 
0.3%
2021-09-01 7
 
0.3%
2015-09-24 7
 
0.3%
2018-04-23 6
 
0.3%
2016-05-09 6
 
0.3%
2016-02-29 6
 
0.3%
2021-12-03 6
 
0.3%
2018-11-07 6
 
0.3%
2021-06-28 5
 
0.2%
Other values (1403) 2289
97.2%
2024-04-21T11:36:54.728505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5393
22.9%
2 4808
20.4%
- 4710
20.0%
1 3769
16.0%
5 716
 
3.0%
7 709
 
3.0%
6 709
 
3.0%
8 704
 
3.0%
4 704
 
3.0%
9 666
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18841
80.0%
Dash Punctuation 4710
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5393
28.6%
2 4808
25.5%
1 3769
20.0%
5 716
 
3.8%
7 709
 
3.8%
6 709
 
3.8%
8 704
 
3.7%
4 704
 
3.7%
9 666
 
3.5%
3 663
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 4710
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23551
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5393
22.9%
2 4808
20.4%
- 4710
20.0%
1 3769
16.0%
5 716
 
3.0%
7 709
 
3.0%
6 709
 
3.0%
8 704
 
3.0%
4 704
 
3.0%
9 666
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23551
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5393
22.9%
2 4808
20.4%
- 4710
20.0%
1 3769
16.0%
5 716
 
3.0%
7 709
 
3.0%
6 709
 
3.0%
8 704
 
3.0%
4 704
 
3.0%
9 666
 
2.8%

착공처리일
Text

MISSING 

Distinct1076
Distinct (%)69.0%
Missing799
Missing (%)33.9%
Memory size18.6 KiB
2024-04-21T11:36:55.008775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9942308
Min length1

Characters and Unicode

Total characters15591
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique718 ?
Unique (%)46.0%

Sample

1st row2024-03-22
2nd row2024-02-26
3rd row2024-03-27
4th row2023-12-29
5th row2023-11-26
ValueCountFrequency (%)
2015-10-15 6
 
0.4%
2017-04-05 5
 
0.3%
2018-06-20 5
 
0.3%
2016-04-07 5
 
0.3%
2015-11-05 5
 
0.3%
2020-12-15 5
 
0.3%
2015-07-14 4
 
0.3%
2016-03-14 4
 
0.3%
2014-05-29 4
 
0.3%
2018-02-05 4
 
0.3%
Other values (1066) 1513
97.0%
2024-04-21T11:36:55.384987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3616
23.2%
- 3118
20.0%
2 3067
19.7%
1 2543
16.3%
6 499
 
3.2%
7 486
 
3.1%
5 476
 
3.1%
8 475
 
3.0%
9 442
 
2.8%
3 435
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12473
80.0%
Dash Punctuation 3118
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3616
29.0%
2 3067
24.6%
1 2543
20.4%
6 499
 
4.0%
7 486
 
3.9%
5 476
 
3.8%
8 475
 
3.8%
9 442
 
3.5%
3 435
 
3.5%
4 434
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 3118
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15591
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3616
23.2%
- 3118
20.0%
2 3067
19.7%
1 2543
16.3%
6 499
 
3.2%
7 486
 
3.1%
5 476
 
3.1%
8 475
 
3.0%
9 442
 
2.8%
3 435
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15591
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3616
23.2%
- 3118
20.0%
2 3067
19.7%
1 2543
16.3%
6 499
 
3.2%
7 486
 
3.1%
5 476
 
3.1%
8 475
 
3.0%
9 442
 
2.8%
3 435
 
2.8%

사용승인일
Text

MISSING 

Distinct1160
Distinct (%)68.8%
Missing673
Missing (%)28.5%
Memory size18.6 KiB
2024-04-21T11:36:55.847343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9946619
Min length1

Characters and Unicode

Total characters16851
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique792 ?
Unique (%)47.0%

Sample

1st row2024-04-09
2nd row2024-04-05
3rd row2024-03-20
4th row2024-03-20
5th row2024-03-05
ValueCountFrequency (%)
2014-08-01 8
 
0.5%
2014-12-05 5
 
0.3%
2016-12-13 5
 
0.3%
2014-12-26 5
 
0.3%
2016-01-22 5
 
0.3%
2018-01-09 4
 
0.2%
2019-06-21 4
 
0.2%
2020-05-26 4
 
0.2%
2021-07-05 4
 
0.2%
2016-07-06 4
 
0.2%
Other values (1150) 1638
97.2%
2024-04-21T11:36:56.225438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3893
23.1%
2 3403
20.2%
- 3370
20.0%
1 2707
16.1%
7 535
 
3.2%
8 529
 
3.1%
6 526
 
3.1%
9 496
 
2.9%
5 466
 
2.8%
4 464
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13481
80.0%
Dash Punctuation 3370
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3893
28.9%
2 3403
25.2%
1 2707
20.1%
7 535
 
4.0%
8 529
 
3.9%
6 526
 
3.9%
9 496
 
3.7%
5 466
 
3.5%
4 464
 
3.4%
3 462
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 3370
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16851
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3893
23.1%
2 3403
20.2%
- 3370
20.0%
1 2707
16.1%
7 535
 
3.2%
8 529
 
3.1%
6 526
 
3.1%
9 496
 
2.9%
5 466
 
2.8%
4 464
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16851
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3893
23.1%
2 3403
20.2%
- 3370
20.0%
1 2707
16.1%
7 535
 
3.2%
8 529
 
3.1%
6 526
 
3.1%
9 496
 
2.9%
5 466
 
2.8%
4 464
 
2.8%

최대지상층수
Real number (ℝ)

Distinct32
Distinct (%)1.4%
Missing5
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean6.0093458
Minimum0
Maximum42
Zeros3
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2024-04-21T11:36:56.359091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median5
Q36
95-th percentile16
Maximum42
Range42
Interquartile range (IQR)2

Descriptive statistics

Standard deviation5.3195305
Coefficient of variation (CV)0.88520959
Kurtosis18.115997
Mean6.0093458
Median Absolute Deviation (MAD)1
Skewness3.7838751
Sum14146
Variance28.297405
MonotonicityNot monotonic
2024-04-21T11:36:56.464801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
5 668
28.3%
4 419
17.8%
6 316
13.4%
3 260
 
11.0%
2 146
 
6.2%
1 101
 
4.3%
7 85
 
3.6%
8 66
 
2.8%
9 41
 
1.7%
10 39
 
1.7%
Other values (22) 213
 
9.0%
ValueCountFrequency (%)
0 3
 
0.1%
1 101
 
4.3%
2 146
 
6.2%
3 260
 
11.0%
4 419
17.8%
5 668
28.3%
6 316
13.4%
7 85
 
3.6%
8 66
 
2.8%
9 41
 
1.7%
ValueCountFrequency (%)
42 8
0.3%
40 5
0.2%
39 8
0.3%
36 3
 
0.1%
30 12
0.5%
26 1
 
< 0.1%
25 2
 
0.1%
24 1
 
< 0.1%
23 1
 
< 0.1%
22 3
 
0.1%

최대지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)0.5%
Missing206
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean0.96098467
Minimum0
Maximum9
Zeros934
Zeros (%)39.6%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2024-04-21T11:36:56.556719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.349088
Coefficient of variation (CV)1.4038601
Kurtosis7.388529
Mean0.96098467
Median Absolute Deviation (MAD)1
Skewness2.4747735
Sum2069
Variance1.8200384
MonotonicityNot monotonic
2024-04-21T11:36:56.664186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 934
39.6%
1 858
36.4%
2 168
 
7.1%
3 56
 
2.4%
4 53
 
2.2%
5 47
 
2.0%
7 19
 
0.8%
6 9
 
0.4%
8 8
 
0.3%
9 1
 
< 0.1%
(Missing) 206
 
8.7%
ValueCountFrequency (%)
0 934
39.6%
1 858
36.4%
2 168
 
7.1%
3 56
 
2.4%
4 53
 
2.2%
5 47
 
2.0%
6 9
 
0.4%
7 19
 
0.8%
8 8
 
0.3%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 8
 
0.3%
7 19
 
0.8%
6 9
 
0.4%
5 47
 
2.0%
4 53
 
2.2%
3 56
 
2.4%
2 168
 
7.1%
1 858
36.4%
0 934
39.6%

최고높이
Real number (ℝ)

ZEROS 

Distinct667
Distinct (%)28.4%
Missing7
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean21.078871
Minimum0
Maximum189.95
Zeros94
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2024-04-21T11:36:56.786291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.111
Q112
median15.44
Q319.1
95-th percentile63.045
Maximum189.95
Range189.95
Interquartile range (IQR)7.1

Descriptive statistics

Standard deviation22.83658
Coefficient of variation (CV)1.0833873
Kurtosis24.496701
Mean21.078871
Median Absolute Deviation (MAD)3.54
Skewness4.3053124
Sum49577.504
Variance521.50937
MonotonicityNot monotonic
2024-04-21T11:36:56.918281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 94
 
4.0%
14.5 37
 
1.6%
17.3 34
 
1.4%
14.0 34
 
1.4%
14.6 33
 
1.4%
14.1 28
 
1.2%
17.2 27
 
1.1%
17.0 27
 
1.1%
14.4 25
 
1.1%
11.7 22
 
0.9%
Other values (657) 1991
84.4%
ValueCountFrequency (%)
0.0 94
4.0%
2.5 3
 
0.1%
2.6 3
 
0.1%
2.7 1
 
< 0.1%
2.8 2
 
0.1%
3.0 14
 
0.6%
3.1 1
 
< 0.1%
3.12 1
 
< 0.1%
3.25 1
 
< 0.1%
3.3 4
 
0.2%
ValueCountFrequency (%)
189.95 8
0.3%
186.33 8
0.3%
180.0 5
0.2%
126.15 3
 
0.1%
102.8 12
0.5%
90.6 2
 
0.1%
90.21 1
 
< 0.1%
89.8 4
 
0.2%
89.0 1
 
< 0.1%
87.6 1
 
< 0.1%

동수
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)0.6%
Missing3
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.2398132
Minimum0
Maximum37
Zeros117
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2024-04-21T11:36:57.029401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum37
Range37
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.5303727
Coefficient of variation (CV)1.2343574
Kurtosis304.6006
Mean1.2398132
Median Absolute Deviation (MAD)0
Skewness14.868648
Sum2921
Variance2.3420406
MonotonicityNot monotonic
2024-04-21T11:36:57.126756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 1936
82.1%
2 188
 
8.0%
0 117
 
5.0%
3 49
 
2.1%
4 27
 
1.1%
5 15
 
0.6%
6 6
 
0.3%
9 4
 
0.2%
10 4
 
0.2%
7 3
 
0.1%
Other values (4) 7
 
0.3%
ValueCountFrequency (%)
0 117
 
5.0%
1 1936
82.1%
2 188
 
8.0%
3 49
 
2.1%
4 27
 
1.1%
5 15
 
0.6%
6 6
 
0.3%
7 3
 
0.1%
8 3
 
0.1%
9 4
 
0.2%
ValueCountFrequency (%)
37 2
 
0.1%
28 1
 
< 0.1%
20 1
 
< 0.1%
10 4
 
0.2%
9 4
 
0.2%
8 3
 
0.1%
7 3
 
0.1%
6 6
 
0.3%
5 15
0.6%
4 27
1.1%

주용도
Categorical

Distinct25
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size18.6 KiB
공동주택
908 
단독주택
407 
제2종근린생활시설
303 
제1종근린생활시설
252 
업무시설
180 
Other values (20)
309 

Length

Max length10
Median length4
Mean length5.194574
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row단독주택
2nd row판매시설
3rd row의료시설
4th row공동주택
5th row제1종근린생활시설

Common Values

ValueCountFrequency (%)
공동주택 908
38.5%
단독주택 407
17.3%
제2종근린생활시설 303
 
12.8%
제1종근린생활시설 252
 
10.7%
업무시설 180
 
7.6%
공장 81
 
3.4%
판매시설 40
 
1.7%
의료시설 27
 
1.1%
노유자시설 22
 
0.9%
교육연구시설 21
 
0.9%
Other values (15) 118
 
5.0%

Length

2024-04-21T11:36:57.263168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공동주택 908
38.5%
단독주택 407
17.3%
제2종근린생활시설 303
 
12.8%
제1종근린생활시설 252
 
10.7%
업무시설 180
 
7.6%
공장 81
 
3.4%
판매시설 40
 
1.7%
의료시설 27
 
1.1%
노유자시설 22
 
0.9%
교육연구시설 21
 
0.9%
Other values (15) 118
 
5.0%

부속용도
Text

MISSING 

Distinct1056
Distinct (%)48.6%
Missing187
Missing (%)7.9%
Memory size18.6 KiB
2024-04-21T11:36:57.454288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length41
Mean length12.958103
Min length2

Characters and Unicode

Total characters28145
Distinct characters224
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique849 ?
Unique (%)39.1%

Sample

1st row주택,제2종근린생활시설
2nd row업무시설
3rd row제2종근린생활시설, 도시형생활주택
4th row도시형생활주택
5th row제1,2종근린생활시설,단독주택(주택)
ValueCountFrequency (%)
다세대주택 242
 
8.4%
및 149
 
5.2%
근린생활시설 126
 
4.4%
다중주택 112
 
3.9%
도시형생활주택(단지형다세대 91
 
3.2%
도시형생활주택(단지형다세대주택 88
 
3.1%
다가구주택 81
 
2.8%
제2종근린생활시설 70
 
2.4%
사무소 55
 
1.9%
오피스텔 42
 
1.5%
Other values (866) 1815
63.2%
2024-04-21T11:36:57.804648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 1837
 
6.5%
주 1663
 
5.9%
택 1633
 
5.8%
설 1377
 
4.9%
생 1291
 
4.6%
활 1243
 
4.4%
다 1175
 
4.2%
, 962
 
3.4%
( 959
 
3.4%
) 955
 
3.4%
Other values (214) 15050
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23191
82.4%
Other Punctuation 1122
 
4.0%
Decimal Number 1027
 
3.6%
Open Punctuation 982
 
3.5%
Close Punctuation 978
 
3.5%
Space Separator 709
 
2.5%
Dash Punctuation 129
 
0.5%
Math Symbol 4
 
< 0.1%
Uppercase Letter 2
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1837
 
7.9%
주 1663
 
7.2%
택 1633
 
7.0%
설 1377
 
5.9%
생 1291
 
5.6%
활 1243
 
5.4%
다 1175
 
5.1%
대 942
 
4.1%
세 939
 
4.0%
형 886
 
3.8%
Other values (187) 10205
44.0%
Decimal Number
ValueCountFrequency (%)
2 454
44.2%
1 396
38.6%
0 36
 
3.5%
6 32
 
3.1%
8 25
 
2.4%
5 24
 
2.3%
4 22
 
2.1%
9 16
 
1.6%
3 14
 
1.4%
7 8
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 962
85.7%
/ 111
 
9.9%
. 39
 
3.5%
: 5
 
0.4%
& 3
 
0.3%
· 1
 
0.1%
; 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 959
97.7%
[ 23
 
2.3%
Close Punctuation
ValueCountFrequency (%)
) 955
97.6%
] 23
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
P 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
709
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 129
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23191
82.4%
Common 4952
 
17.6%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1837
 
7.9%
주 1663
 
7.2%
택 1633
 
7.0%
설 1377
 
5.9%
생 1291
 
5.6%
활 1243
 
5.4%
다 1175
 
5.1%
대 942
 
4.1%
세 939
 
4.0%
형 886
 
3.8%
Other values (187) 10205
44.0%
Common
ValueCountFrequency (%)
, 962
19.4%
( 959
19.4%
) 955
19.3%
709
14.3%
2 454
9.2%
1 396
8.0%
- 129
 
2.6%
/ 111
 
2.2%
. 39
 
0.8%
0 36
 
0.7%
Other values (15) 202
 
4.1%
Latin
ValueCountFrequency (%)
P 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23188
82.4%
ASCII 4953
 
17.6%
Compat Jamo 3
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 1837
 
7.9%
주 1663
 
7.2%
택 1633
 
7.0%
설 1377
 
5.9%
생 1291
 
5.6%
활 1243
 
5.4%
다 1175
 
5.1%
대 942
 
4.1%
세 939
 
4.0%
형 886
 
3.8%
Other values (184) 10202
44.0%
ASCII
ValueCountFrequency (%)
, 962
19.4%
( 959
19.4%
) 955
19.3%
709
14.3%
2 454
9.2%
1 396
8.0%
- 129
 
2.6%
/ 111
 
2.2%
. 39
 
0.8%
0 36
 
0.7%
Other values (16) 203
 
4.1%
Compat Jamo
ValueCountFrequency (%)
ㄹ 1
33.3%
ㅓ 1
33.3%
ㅔ 1
33.3%
None
ValueCountFrequency (%)
· 1
100.0%

용도지역
Categorical

Distinct16
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size18.6 KiB
제2종일반주거지역
802 
도시지역
728 
제3종일반주거지역
202 
준공업지역
195 
<NA>
109 
Other values (11)
323 

Length

Max length13
Median length10
Mean length6.8257736
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row도시지역
2nd row준공업지역
3rd row준주거지역
4th row제2종일반주거지역
5th row제2종일반주거지역

Common Values

ValueCountFrequency (%)
제2종일반주거지역 802
34.0%
도시지역 728
30.9%
제3종일반주거지역 202
 
8.6%
준공업지역 195
 
8.3%
<NA> 109
 
4.6%
가로구역별최고높이제한지역 95
 
4.0%
일반상업지역 80
 
3.4%
제1종일반주거지역 54
 
2.3%
준주거지역 44
 
1.9%
자연녹지지역 37
 
1.6%
Other values (6) 13
 
0.6%

Length

2024-04-21T11:36:57.932170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제2종일반주거지역 802
34.0%
도시지역 728
30.9%
제3종일반주거지역 202
 
8.6%
준공업지역 195
 
8.3%
na 109
 
4.6%
가로구역별최고높이제한지역 95
 
4.0%
일반상업지역 80
 
3.4%
제1종일반주거지역 54
 
2.3%
준주거지역 44
 
1.9%
자연녹지지역 37
 
1.6%
Other values (6) 13
 
0.6%

용도지구
Categorical

IMBALANCE 

Distinct18
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size18.6 KiB
<NA>
1553 
대공방어협조구역
488 
일반미관지구
220 
중심지미관지구
 
40
방재지구
 
16
Other values (13)
 
42

Length

Max length12
Median length4
Mean length5.1059771
Min length2

Unique

Unique4 ?
Unique (%)0.2%

Sample

1st row대공방어협조구역
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1553
65.8%
대공방어협조구역 488
 
20.7%
일반미관지구 220
 
9.3%
중심지미관지구 40
 
1.7%
방재지구 16
 
0.7%
집단취락지구 9
 
0.4%
고도지구 6
 
0.3%
최고고도지구 4
 
0.2%
철도보호지구 4
 
0.2%
보금자리주택지구 4
 
0.2%
Other values (8) 15
 
0.6%

Length

2024-04-21T11:36:58.039681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1553
65.8%
대공방어협조구역 488
 
20.7%
일반미관지구 220
 
9.3%
중심지미관지구 40
 
1.7%
방재지구 16
 
0.7%
집단취락지구 9
 
0.4%
고도지구 6
 
0.3%
미관지구 4
 
0.2%
보금자리주택지구 4
 
0.2%
철도보호지구 4
 
0.2%
Other values (8) 15
 
0.6%

용도구역
Categorical

IMBALANCE 

Distinct16
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size18.6 KiB
<NA>
1437 
학교환경위생정화구역
277 
장애물제한표면구역
253 
지구단위계획구역
187 
제1종지구단위계획구역
 
61
Other values (11)
144 

Length

Max length11
Median length4
Mean length5.9041967
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row지구단위계획구역
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1437
60.9%
학교환경위생정화구역 277
 
11.7%
장애물제한표면구역 253
 
10.7%
지구단위계획구역 187
 
7.9%
제1종지구단위계획구역 61
 
2.6%
개발제한구역 28
 
1.2%
상대보호구역 26
 
1.1%
대공방어 협조구역 26
 
1.1%
가축사육제한구역 23
 
1.0%
산업시설구역 16
 
0.7%
Other values (6) 25
 
1.1%

Length

2024-04-21T11:36:58.158387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1437
60.1%
학교환경위생정화구역 277
 
11.6%
장애물제한표면구역 253
 
10.6%
지구단위계획구역 187
 
7.8%
제1종지구단위계획구역 61
 
2.6%
개발제한구역 28
 
1.2%
상대보호구역 26
 
1.1%
대공방어 26
 
1.1%
협조구역 26
 
1.1%
가축사육제한구역 23
 
1.0%
Other values (8) 47
 
2.0%

총주차대수
Real number (ℝ)

MISSING  ZEROS 

Distinct181
Distinct (%)8.9%
Missing317
Missing (%)13.4%
Infinite0
Infinite (%)0.0%
Mean71.305583
Minimum0
Maximum3421
Zeros55
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2024-04-21T11:36:58.266016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median8
Q320
95-th percentile291.5
Maximum3421
Range3421
Interquartile range (IQR)16

Descriptive statistics

Standard deviation283.40961
Coefficient of variation (CV)3.9745781
Kurtosis54.583797
Mean71.305583
Median Absolute Deviation (MAD)5
Skewness6.9214166
Sum145606
Variance80321.007
MonotonicityNot monotonic
2024-04-21T11:36:58.392374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 239
 
10.1%
2 189
 
8.0%
3 138
 
5.8%
4 118
 
5.0%
6 113
 
4.8%
7 100
 
4.2%
10 98
 
4.2%
5 97
 
4.1%
9 78
 
3.3%
1 63
 
2.7%
Other values (171) 809
34.3%
(Missing) 317
 
13.4%
ValueCountFrequency (%)
0 55
 
2.3%
1 63
 
2.7%
2 189
8.0%
3 138
5.8%
4 118
5.0%
5 97
4.1%
6 113
4.8%
7 100
4.2%
8 239
10.1%
9 78
 
3.3%
ValueCountFrequency (%)
3421 2
 
0.1%
2506 1
 
< 0.1%
2447 7
0.3%
2345 5
0.2%
1701 11
0.5%
1414 2
 
0.1%
1359 7
0.3%
1212 1
 
< 0.1%
1077 1
 
< 0.1%
1076 1
 
< 0.1%

총주차장면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct790
Distinct (%)38.7%
Missing317
Missing (%)13.4%
Infinite0
Infinite (%)0.0%
Mean6064.8905
Minimum0
Maximum4529952
Zeros486
Zeros (%)20.6%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2024-04-21T11:36:58.518372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111.5
median75
Q3173.1825
95-th percentile4529.95
Maximum4529952
Range4529952
Interquartile range (IQR)161.6825

Descriptive statistics

Standard deviation142309.09
Coefficient of variation (CV)23.464411
Kurtosis1000.6749
Mean6064.8905
Median Absolute Deviation (MAD)75
Skewness31.524783
Sum12384506
Variance2.0251876 × 1010
MonotonicityNot monotonic
2024-04-21T11:36:58.650214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 486
20.6%
92.0 78
 
3.3%
23.0 62
 
2.6%
80.5 47
 
2.0%
46.0 42
 
1.8%
34.5 40
 
1.7%
69.0 36
 
1.5%
100.0 31
 
1.3%
57.5 28
 
1.2%
35.0 28
 
1.2%
Other values (780) 1164
49.3%
(Missing) 317
 
13.4%
ValueCountFrequency (%)
0.0 486
20.6%
9.0 1
 
< 0.1%
10.0 1
 
< 0.1%
11.5 26
 
1.1%
12.0 8
 
0.3%
12.5 4
 
0.2%
13.95 1
 
< 0.1%
14.43 1
 
< 0.1%
14.79 2
 
0.1%
15.0 1
 
< 0.1%
ValueCountFrequency (%)
4529952.0 2
 
0.1%
399128.98 1
 
< 0.1%
215400.0 2
 
0.1%
145173.76 1
 
< 0.1%
97096.45 1
 
< 0.1%
87565.66 5
0.2%
58302.71 6
0.3%
49066.84 5
0.2%
36784.92 1
 
< 0.1%
34918.89 1
 
< 0.1%

세대수
Real number (ℝ)

MISSING 

Distinct71
Distinct (%)7.2%
Missing1376
Missing (%)58.3%
Infinite0
Infinite (%)0.0%
Mean24.114954
Minimum0
Maximum933
Zeros23
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2024-04-21T11:36:58.781700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median13
Q318.5
95-th percentile49
Maximum933
Range933
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation64.549418
Coefficient of variation (CV)2.6767381
Kurtosis103.00516
Mean24.114954
Median Absolute Deviation (MAD)4
Skewness9.2647292
Sum23705
Variance4166.6273
MonotonicityNot monotonic
2024-04-21T11:36:58.906813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 119
 
5.0%
12 86
 
3.6%
8 79
 
3.3%
16 72
 
3.1%
15 59
 
2.5%
14 59
 
2.5%
11 46
 
1.9%
13 40
 
1.7%
20 35
 
1.5%
7 34
 
1.4%
Other values (61) 354
 
15.0%
(Missing) 1376
58.3%
ValueCountFrequency (%)
0 23
 
1.0%
1 23
 
1.0%
2 2
 
0.1%
3 5
 
0.2%
4 12
 
0.5%
5 13
 
0.6%
6 24
 
1.0%
7 34
1.4%
8 79
3.3%
9 18
 
0.8%
ValueCountFrequency (%)
933 2
 
0.1%
524 6
0.3%
434 1
 
< 0.1%
317 1
 
< 0.1%
268 1
 
< 0.1%
266 4
0.2%
222 1
 
< 0.1%
208 1
 
< 0.1%
166 1
 
< 0.1%
150 1
 
< 0.1%

호수
Text

MISSING 

Distinct116
Distinct (%)23.5%
Missing1866
Missing (%)79.1%
Memory size18.6 KiB
2024-04-21T11:36:59.128764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length1
Mean length1.6024341
Min length1

Characters and Unicode

Total characters790
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)12.6%

Sample

1st row16
2nd row1
3rd row252
4th row18
5th row101
ValueCountFrequency (%)
1 104
21.1%
2 47
 
9.5%
3 31
 
6.3%
4 20
 
4.1%
0 17
 
3.4%
12 16
 
3.2%
9 14
 
2.8%
11 13
 
2.6%
8 12
 
2.4%
14 10
 
2.0%
Other values (106) 209
42.4%
2024-04-21T11:36:59.469425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 250
31.6%
2 126
15.9%
3 76
 
9.6%
4 75
 
9.5%
5 54
 
6.8%
0 50
 
6.3%
6 46
 
5.8%
8 40
 
5.1%
9 35
 
4.4%
7 33
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 785
99.4%
Other Punctuation 5
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 250
31.8%
2 126
16.1%
3 76
 
9.7%
4 75
 
9.6%
5 54
 
6.9%
0 50
 
6.4%
6 46
 
5.9%
8 40
 
5.1%
9 35
 
4.5%
7 33
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 790
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 250
31.6%
2 126
15.9%
3 76
 
9.6%
4 75
 
9.5%
5 54
 
6.8%
0 50
 
6.3%
6 46
 
5.8%
8 40
 
5.1%
9 35
 
4.4%
7 33
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 790
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 250
31.6%
2 126
15.9%
3 76
 
9.6%
4 75
 
9.5%
5 54
 
6.8%
0 50
 
6.3%
6 46
 
5.8%
8 40
 
5.1%
9 35
 
4.4%
7 33
 
4.2%

가구수
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)4.5%
Missing1893
Missing (%)80.2%
Infinite0
Infinite (%)0.0%
Mean5.9012876
Minimum0
Maximum524
Zeros14
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2024-04-21T11:36:59.590637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q35
95-th percentile9.75
Maximum524
Range524
Interquartile range (IQR)4

Descriptive statistics

Standard deviation30.883251
Coefficient of variation (CV)5.2333072
Kurtosis189.37981
Mean5.9012876
Median Absolute Deviation (MAD)0
Skewness12.875972
Sum2750
Variance953.77518
MonotonicityNot monotonic
2024-04-21T11:36:59.695415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 236
 
10.0%
5 52
 
2.2%
3 37
 
1.6%
2 33
 
1.4%
4 25
 
1.1%
0 14
 
0.6%
7 13
 
0.6%
6 13
 
0.6%
8 11
 
0.5%
9 8
 
0.3%
Other values (11) 24
 
1.0%
(Missing) 1893
80.2%
ValueCountFrequency (%)
0 14
 
0.6%
1 236
10.0%
2 33
 
1.4%
3 37
 
1.6%
4 25
 
1.1%
5 52
 
2.2%
6 13
 
0.6%
7 13
 
0.6%
8 11
 
0.5%
9 8
 
0.3%
ValueCountFrequency (%)
524 1
 
< 0.1%
235 3
0.1%
59 3
0.1%
39 1
 
< 0.1%
19 1
 
< 0.1%
15 3
0.1%
14 1
 
< 0.1%
13 1
 
< 0.1%
12 4
0.2%
11 4
0.2%

데이터기준일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.6 KiB
2024-04-09
2355 
<NA>
 
3
7
 
1

Length

Max length10
Median length10
Mean length9.9885545
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row2024-04-09
2nd row2024-04-09
3rd row2024-04-09
4th row2024-04-09
5th row2024-04-09

Common Values

ValueCountFrequency (%)
2024-04-09 2355
99.8%
<NA> 3
 
0.1%
7 1
 
< 0.1%

Length

2024-04-21T11:36:59.807035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:36:59.887849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-04-09 2355
99.8%
na 3
 
0.1%
7 1
 
< 0.1%

Sample

연번건축구분대지위치지목대지면적건축면적연면적증축연면적건폐율용적률구조허가일착공처리일사용승인일최대지상층수최대지하층수최고높이동수주용도부속용도용도지역용도지구용도구역총주차대수총주차장면적세대수호수가구수데이터기준일자
01대수선서울특별시 구로구 구로동 30-14대100.549.26175.56<NA>49.01125.67<NA>2024-04-02<NA>2024-04-09319.21단독주택주택,제2종근린생활시설도시지역대공방어협조구역<NA>00.0<NA><NA>12024-04-09
12용도변경서울특별시 구로구 고척동 76-41대3461.01959.9924030.1<NA>56.63380.7<NA>2024-03-25<NA>2024-04-057429.11판매시설업무시설준공업지역<NA><NA>1697362.7<NA><NA><NA>2024-04-09
23증축서울특별시 구로구 구로동 586-5대872.0427.515064.3120.2549.03517.94철근콘크리트구조2024-03-22<NA><NA>16254.01의료시설제2종근린생활시설, 도시형생활주택준주거지역<NA>지구단위계획구역40238.225716<NA>2024-04-09
34신축서울특별시 구로구 구로동 409-75 외1필지대306.88180.82612.35<NA>58.92199.54철근콘크리트구조2024-03-21<NA><NA>6019.61공동주택도시형생활주택제2종일반주거지역<NA><NA>892.016<NA><NA>2024-04-09
45대수선서울특별시 구로구 구로동 29-27대98.353.3197.08<NA>54.22150.44벽돌구조2024-03-19<NA>2024-03-20318.41제1종근린생활시설제1,2종근린생활시설,단독주택(주택)제2종일반주거지역<NA><NA>00.0<NA><NA>12024-04-09
56용도변경서울특별시 구로구 구로동 1125-9 외1필지대1100.8691.13448.4<NA>62.78256.03철근콘크리트구조2024-03-19<NA><NA>5119.52제1종근린생활시설제2종근린새활시설, 업무시설일반상업지역<NA><NA>00.0<NA><NA><NA>2024-04-09
67증축서울특별시 구로구 구로동 30-16대98.555.09181.5716.8455.92184.34철근콘크리트구조2024-03-19<NA>2024-03-204<NA>10.51제2종근린생활시설제2종근린생활시설,단독주택제2종일반주거지역<NA><NA>111.5<NA>1<NA>2024-04-09
78용도변경서울특별시 구로구 가리봉동 134-103대107.187.44210.01<NA>81.6433196.0878벽돌구조2024-03-14<NA><NA>3<NA>8.21단독주택다가구주택제2종일반주거지역<NA><NA>00.0<NA><NA>32024-04-09
89신축서울특별시 구로구 고척동 167-31 외1필지대481.0262.92449.91<NA>54.6693.53일반철골구조2024-03-11<NA><NA>309.951위험물저장및처리시설주유소제2종일반주거지역<NA><NA>337.5<NA><NA><NA>2024-04-09
910신축서울특별시 구로구 구로동 481-3 외2필지대916.57497.59974.64<NA>54.29106.34일반철골구조2024-03-06<NA><NA>2010.61제1종근린생활시설소매점,사무소제2종일반주거지역<NA><NA>70.0<NA><NA><NA>2024-04-09
연번건축구분대지위치지목대지면적건축면적연면적증축연면적건폐율용적률구조허가일착공처리일사용승인일최대지상층수최대지하층수최고높이동수주용도부속용도용도지역용도지구용도구역총주차대수총주차장면적세대수호수가구수데이터기준일자
23492350용도변경서울특별시 구로구 구로동 1125-9 외1필지대1431.4691.13448.4<NA>48.28196.89철근콘크리트구조2014-01-20<NA>2014-03-21510.02제1종근린생활시설제1,2종근린생활시설,업무시설일반상업지역일반미관지구지구단위계획구역<NA><NA><NA><NA><NA>2024-04-09
23502351신축서울특별시 구로구 개봉동 38-49 외1필지대282.0167.04563.74<NA>59.23199.91철근콘크리트구조2014-01-172014-01-202014-05-075015.351공동주택제1종근린생활시설및다세대주택제2종일반주거지역<NA><NA>892.016<NA><NA>2024-04-09
23512352가설건축물축조허가서울특별시 구로구 온수동 50답1991.0451.85528.83<NA>22.69526.561경량철골구조2014-01-142014-03-072014-04-212<NA>6.72가설건축물창고제2종일반주거지역<NA><NA>223.0<NA><NA><NA>2024-04-09
23522353신축서울특별시 구로구 개봉동 64-44대231.19137.61461.44<NA>59.52199.59철근콘크리트구조2014-01-142014-03-062014-07-305016.21공동주택도시형생활주택 단지형다세대도시지역<NA><NA>790.388<NA><NA>2024-04-09
23532354용도변경서울특별시 구로구 구로동 100-8대2450.91396.5921415.65<NA>56.98617.97<NA>2014-01-06<NA><NA>21464.21공동주택(아파트),근린생활시설,업무시설,운동시설일반상업지역일반미관지구<NA>1530.09849<NA>2024-04-09
23542355신축서울특별시 구로구 고척동 145-52대134.071.34344.14<NA>53.24195.94철근콘크리트구조2014-01-032014-01-082014-06-305116.81공동주택제2종근린생활시설 및 다세대주택제2종일반주거지역<NA>대공방어 협조구역460.041<NA>2024-04-09
2355<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2356<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2357<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2358495258.09.010.08.08.09.011555667.02107113121159.03437

Duplicate rows

Most frequently occurring

연번건축구분대지위치지목대지면적건축면적연면적증축연면적건폐율용적률구조허가일착공처리일사용승인일최대지상층수최대지하층수최고높이동수주용도부속용도용도지역용도지구용도구역총주차대수총주차장면적세대수호수가구수데이터기준일자# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3