Overview

Dataset statistics

Number of variables23
Number of observations852
Missing cells440
Missing cells (%)2.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory160.7 KiB
Average record size in memory193.2 B

Variable types

Categorical8
Text4
Numeric9
DateTime2

Dataset

Description경기도_양주시_건축허가현황 관련 데이터로 대치위치, 지목, 면적, 건폐율, 구조, 용도 등 항목을 제공하고 있습니다.
Author경기도 양주시
URLhttps://www.data.go.kr/data/3077195/fileData.do

Alerts

번호 has constant value ""Constant
관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
건축구분 is highly imbalanced (56.3%)Imbalance
하수처리시설명 is highly imbalanced (51.2%)Imbalance
최대지하층수 has 181 (21.2%) missing valuesMissing
부속용도 has 256 (30.0%) missing valuesMissing
허가 및 신고번호 has unique valuesUnique
용적률(퍼센트) has 11 (1.3%) zerosZeros
최대지하층수 has 569 (66.8%) zerosZeros
최대지상층수 has 11 (1.3%) zerosZeros
총주차대수 has 89 (10.4%) zerosZeros

Reproduction

Analysis started2024-03-14 13:27:56.119295
Analysis finished2024-03-14 13:27:57.154982
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
신규
852 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신규 852
100.0%

Length

2024-03-14T22:27:57.357820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:27:57.673779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신규 852
100.0%

건축구분
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
신축
612 
증축
130 
용도변경
97 
대수선
 
9
개축
 
2
Other values (2)
 
2

Length

Max length9
Median length2
Mean length2.2464789
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
신축 612
71.8%
증축 130
 
15.3%
용도변경 97
 
11.4%
대수선 9
 
1.1%
개축 2
 
0.2%
가설건축물축조허가 1
 
0.1%
재축 1
 
0.1%

Length

2024-03-14T22:27:58.044600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:27:58.417769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신축 612
71.8%
증축 130
 
15.3%
용도변경 97
 
11.4%
대수선 9
 
1.1%
개축 2
 
0.2%
가설건축물축조허가 1
 
0.1%
재축 1
 
0.1%

허가 및 신고번호
Text

UNIQUE 

Distinct852
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2024-03-14T22:27:59.253355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length16.615023
Min length15

Characters and Unicode

Total characters14156
Distinct characters35
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique852 ?
Unique (%)100.0%

Sample

1st row2023-허가과-대수선허가-8
2nd row2023-허가과-신축허가-314
3rd row2023-허가과-신축허가-315
4th row2023-허가과-신축허가-316
5th row2023-허가과-신축허가-313
ValueCountFrequency (%)
2023-허가과-대수선허가-8 1
 
0.1%
2023-건축과-신축신고-9 1
 
0.1%
2023-허가과-신축신고-204 1
 
0.1%
2023-허가과-신축신고-212 1
 
0.1%
2023-허가과-신축신고-213 1
 
0.1%
2023-허가과-신축신고-210 1
 
0.1%
2023-허가과-신축신고-211 1
 
0.1%
2023-허가과-신축신고-205 1
 
0.1%
2023-허가과-신축신고-206 1
 
0.1%
2023-허가과-신축신고-208 1
 
0.1%
Other values (842) 842
98.8%
2024-03-14T22:28:00.478863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2556
18.1%
2 2069
14.6%
가 1238
8.7%
허 1237
8.7%
3 1049
7.4%
신 1022
 
7.2%
0 986
 
7.0%
과 852
 
6.0%
축 778
 
5.5%
고 414
 
2.9%
Other values (25) 1955
13.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6180
43.7%
Decimal Number 5420
38.3%
Dash Punctuation 2556
18.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 1238
20.0%
허 1237
20.0%
신 1022
16.5%
과 852
13.8%
축 778
12.6%
고 414
 
6.7%
증 124
 
2.0%
용 96
 
1.6%
경 95
 
1.5%
도 95
 
1.5%
Other values (14) 229
 
3.7%
Decimal Number
ValueCountFrequency (%)
2 2069
38.2%
3 1049
19.4%
0 986
18.2%
1 406
 
7.5%
4 175
 
3.2%
5 166
 
3.1%
6 153
 
2.8%
7 139
 
2.6%
8 139
 
2.6%
9 138
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 2556
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7976
56.3%
Hangul 6180
43.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 1238
20.0%
허 1237
20.0%
신 1022
16.5%
과 852
13.8%
축 778
12.6%
고 414
 
6.7%
증 124
 
2.0%
용 96
 
1.6%
경 95
 
1.5%
도 95
 
1.5%
Other values (14) 229
 
3.7%
Common
ValueCountFrequency (%)
- 2556
32.0%
2 2069
25.9%
3 1049
13.2%
0 986
 
12.4%
1 406
 
5.1%
4 175
 
2.2%
5 166
 
2.1%
6 153
 
1.9%
7 139
 
1.7%
8 139
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7976
56.3%
Hangul 6180
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2556
32.0%
2 2069
25.9%
3 1049
13.2%
0 986
 
12.4%
1 406
 
5.1%
4 175
 
2.2%
5 166
 
2.1%
6 153
 
1.9%
7 139
 
1.7%
8 139
 
1.7%
Hangul
ValueCountFrequency (%)
가 1238
20.0%
허 1237
20.0%
신 1022
16.5%
과 852
13.8%
축 778
12.6%
고 414
 
6.7%
증 124
 
2.0%
용 96
 
1.6%
경 95
 
1.5%
도 95
 
1.5%
Other values (14) 229
 
3.7%

대지위치
Text

Distinct783
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2024-03-14T22:28:01.449373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length26
Mean length21.017606
Min length13

Characters and Unicode

Total characters17907
Distinct characters104
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique759 ?
Unique (%)89.1%

Sample

1st row경기도 양주시 회정동 46-7
2nd row경기도 양주시 옥정동 932-1
3rd row경기도 양주시 은현면 선암리 290-2 외1필지
4th row경기도 양주시 은현면 선암리 288-14 외2필지
5th row경기도 양주시 남면 신산리 산 20
ValueCountFrequency (%)
경기도 852
19.9%
양주시 852
19.9%
외1필지 164
 
3.8%
백석읍 134
 
3.1%
은현면 134
 
3.1%
광적면 110
 
2.6%
장흥면 89
 
2.1%
산 74
 
1.7%
덕계동 71
 
1.7%
남면 58
 
1.4%
Other values (818) 1751
40.8%
2024-03-14T22:28:02.846302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3437
19.2%
도 893
 
5.0%
양 873
 
4.9%
기 865
 
4.8%
시 856
 
4.8%
경 854
 
4.8%
주 854
 
4.8%
1 777
 
4.3%
- 694
 
3.9%
리 525
 
2.9%
Other values (94) 7279
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10128
56.6%
Decimal Number 3646
 
20.4%
Space Separator 3437
 
19.2%
Dash Punctuation 694
 
3.9%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 893
 
8.8%
양 873
 
8.6%
기 865
 
8.5%
시 856
 
8.5%
경 854
 
8.4%
주 854
 
8.4%
리 525
 
5.2%
면 391
 
3.9%
동 327
 
3.2%
지 286
 
2.8%
Other values (80) 3404
33.6%
Decimal Number
ValueCountFrequency (%)
1 777
21.3%
2 507
13.9%
3 421
11.5%
4 383
10.5%
5 306
 
8.4%
6 270
 
7.4%
8 265
 
7.3%
7 260
 
7.1%
9 247
 
6.8%
0 210
 
5.8%
Space Separator
ValueCountFrequency (%)
3437
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 694
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10128
56.6%
Common 7779
43.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 893
 
8.8%
양 873
 
8.6%
기 865
 
8.5%
시 856
 
8.5%
경 854
 
8.4%
주 854
 
8.4%
리 525
 
5.2%
면 391
 
3.9%
동 327
 
3.2%
지 286
 
2.8%
Other values (80) 3404
33.6%
Common
ValueCountFrequency (%)
3437
44.2%
1 777
 
10.0%
- 694
 
8.9%
2 507
 
6.5%
3 421
 
5.4%
4 383
 
4.9%
5 306
 
3.9%
6 270
 
3.5%
8 265
 
3.4%
7 260
 
3.3%
Other values (4) 459
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10128
56.6%
ASCII 7779
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3437
44.2%
1 777
 
10.0%
- 694
 
8.9%
2 507
 
6.5%
3 421
 
5.4%
4 383
 
4.9%
5 306
 
3.9%
6 270
 
3.5%
8 265
 
3.4%
7 260
 
3.3%
Other values (4) 459
 
5.9%
Hangul
ValueCountFrequency (%)
도 893
 
8.8%
양 873
 
8.6%
기 865
 
8.5%
시 856
 
8.5%
경 854
 
8.4%
주 854
 
8.4%
리 525
 
5.2%
면 391
 
3.9%
동 327
 
3.2%
지 286
 
2.8%
Other values (80) 3404
33.6%

지목
Categorical

Distinct19
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
대
247 
임야
226 
전
147 
답
94 
공장용지
54 
Other values (14)
84 

Length

Max length5
Median length1
Mean length1.6913146
Min length1

Unique

Unique6 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
대 247
29.0%
임야 226
26.5%
전 147
17.3%
답 94
 
11.0%
공장용지 54
 
6.3%
잡종지 37
 
4.3%
창고용지 16
 
1.9%
목장용지 8
 
0.9%
유원지 4
 
0.5%
종교용지 4
 
0.5%
Other values (9) 15
 
1.8%

Length

2024-03-14T22:28:03.294585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대 247
29.0%
임야 226
26.5%
전 147
17.3%
답 94
 
11.0%
공장용지 54
 
6.3%
잡종지 37
 
4.3%
창고용지 16
 
1.9%
목장용지 8
 
0.9%
주유소용지 4
 
0.5%
종교용지 4
 
0.5%
Other values (9) 15
 
1.8%

대지면적(제곱미터)
Real number (ℝ)

Distinct691
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2359.6224
Minimum39
Maximum178388
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.6 KiB
2024-03-14T22:28:03.694175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39
5-th percentile225.1
Q1398.75
median880.5
Q32087.55
95-th percentile7280.05
Maximum178388
Range178349
Interquartile range (IQR)1688.8

Descriptive statistics

Standard deviation7445.7622
Coefficient of variation (CV)3.1554888
Kurtosis375.24262
Mean2359.6224
Median Absolute Deviation (MAD)558.15
Skewness16.947057
Sum2010398.3
Variance55439374
MonotonicityNot monotonic
2024-03-14T22:28:04.133467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
330.0 17
 
2.0%
660.0 8
 
0.9%
779.0 5
 
0.6%
361.0 5
 
0.6%
325.0 4
 
0.5%
1745.6 4
 
0.5%
198.0 4
 
0.5%
158.0 4
 
0.5%
317.0 4
 
0.5%
694.0 4
 
0.5%
Other values (681) 793
93.1%
ValueCountFrequency (%)
39.0 1
0.1%
73.0 1
0.1%
83.0 1
0.1%
99.0 1
0.1%
116.0 1
0.1%
139.0 1
0.1%
143.0 1
0.1%
146.0 1
0.1%
150.0 1
0.1%
157.0 1
0.1%
ValueCountFrequency (%)
178388.0 1
0.1%
58203.0 1
0.1%
58190.0 1
0.1%
29494.0 1
0.1%
25650.0 1
0.1%
25254.0 1
0.1%
24887.0 1
0.1%
24187.0 1
0.1%
24051.0 1
0.1%
23205.0 1
0.1%

건축면적(제곱미터)
Real number (ℝ)

Distinct661
Distinct (%)77.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean546.1314
Minimum10.5
Maximum15217.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.6 KiB
2024-03-14T22:28:04.548837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10.5
5-th percentile55.7665
Q193.1725
median196.7
Q3489.25
95-th percentile1887.208
Maximum15217.53
Range15207.03
Interquartile range (IQR)396.0775

Descriptive statistics

Standard deviation1222.3038
Coefficient of variation (CV)2.2381131
Kurtosis65.513667
Mean546.1314
Median Absolute Deviation (MAD)128.655
Skewness7.1080296
Sum465303.95
Variance1494026.7
MonotonicityNot monotonic
2024-03-14T22:28:04.994144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
396.0 23
 
2.7%
65.31 18
 
2.1%
70.0 15
 
1.8%
69.87 10
 
1.2%
198.0 9
 
1.1%
594.0 8
 
0.9%
75.6 8
 
0.9%
40.0 7
 
0.8%
792.0 7
 
0.8%
56.55 7
 
0.8%
Other values (651) 740
86.9%
ValueCountFrequency (%)
10.5 1
0.1%
17.92 1
0.1%
19.5 2
0.2%
19.8 1
0.1%
21.0 1
0.1%
30.72 1
0.1%
30.82 1
0.1%
31.5 1
0.1%
33.12 1
0.1%
34.0 1
0.1%
ValueCountFrequency (%)
15217.53 1
0.1%
14977.93 1
0.1%
10968.9502 1
0.1%
10122.26 1
0.1%
9278.82 1
0.1%
9060.64 1
0.1%
8015.23 1
0.1%
6845.95 1
0.1%
5549.42 1
0.1%
5431.33 1
0.1%

연면적(제곱미터)
Real number (ℝ)

Distinct662
Distinct (%)77.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1435.4742
Minimum10.5
Maximum98885
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.6 KiB
2024-03-14T22:28:05.426340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10.5
5-th percentile56
Q1109.7375
median290.79
Q3653.98
95-th percentile5692.6825
Maximum98885
Range98874.5
Interquartile range (IQR)544.2425

Descriptive statistics

Standard deviation6214.2425
Coefficient of variation (CV)4.329052
Kurtosis160.35048
Mean1435.4742
Median Absolute Deviation (MAD)192.86
Skewness11.768496
Sum1223024
Variance38616809
MonotonicityNot monotonic
2024-03-14T22:28:05.871474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
396.0 24
 
2.8%
98.72 19
 
2.2%
70.0 11
 
1.3%
69.87 10
 
1.2%
198.0 8
 
0.9%
40.0 7
 
0.8%
56.55 7
 
0.8%
594.0 7
 
0.8%
792.0 7
 
0.8%
379.6 6
 
0.7%
Other values (652) 746
87.6%
ValueCountFrequency (%)
10.5 1
0.1%
17.92 1
0.1%
19.5 2
0.2%
19.8 1
0.1%
21.0 1
0.1%
30.72 1
0.1%
30.82 1
0.1%
31.5 1
0.1%
32.0 1
0.1%
33.12 1
0.1%
ValueCountFrequency (%)
98885.0 1
0.1%
93783.64 1
0.1%
75816.9052 1
0.1%
54151.37 1
0.1%
46783.98 1
0.1%
17736.97 1
0.1%
15069.37 1
0.1%
14730.505 1
0.1%
13979.7 1
0.1%
13581.48 1
0.1%

건폐율(퍼센트)
Real number (ℝ)

Distinct710
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.524133
Minimum0.08
Maximum79.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.6 KiB
2024-03-14T22:28:06.283134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.08
5-th percentile8.0285
Q116.165
median20.045
Q339.5775
95-th percentile59.939
Maximum79.14
Range79.06
Interquartile range (IQR)23.4125

Descriptive statistics

Standard deviation16.943057
Coefficient of variation (CV)0.59399024
Kurtosis-0.28886737
Mean28.524133
Median Absolute Deviation (MAD)8.79
Skewness0.78993779
Sum24302.562
Variance287.06717
MonotonicityNot monotonic
2024-03-14T22:28:06.745760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.79 11
 
1.3%
19.94 9
 
1.1%
19.96 6
 
0.7%
19.99 4
 
0.5%
47.85 4
 
0.5%
19.91 4
 
0.5%
19.74 4
 
0.5%
19.98 4
 
0.5%
65.41 4
 
0.5%
19.95 4
 
0.5%
Other values (700) 798
93.7%
ValueCountFrequency (%)
0.08 1
0.1%
0.42 1
0.1%
0.9 1
0.1%
1.45 1
0.1%
2.07 1
0.1%
2.1 1
0.1%
2.22 1
0.1%
2.25 1
0.1%
2.37 1
0.1%
2.39 1
0.1%
ValueCountFrequency (%)
79.14 1
0.1%
76.2068 1
0.1%
70.38 1
0.1%
69.9993 2
0.2%
69.9282 1
0.1%
69.92 1
0.1%
69.85 1
0.1%
69.8181 1
0.1%
69.76 1
0.1%
69.7257 1
0.1%

용적률(퍼센트)
Real number (ℝ)

ZEROS 

Distinct742
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.697896
Minimum0
Maximum798.55
Zeros11
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size7.6 KiB
2024-03-14T22:28:07.186677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.7875
Q116.5175
median28.515
Q350.805
95-th percentile200.939
Maximum798.55
Range798.55
Interquartile range (IQR)34.2875

Descriptive statistics

Standard deviation95.295831
Coefficient of variation (CV)1.6807649
Kurtosis19.344491
Mean56.697896
Median Absolute Deviation (MAD)14.05
Skewness4.1332918
Sum48306.608
Variance9081.2955
MonotonicityNot monotonic
2024-03-14T22:28:07.661955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
1.3%
29.92 9
 
1.1%
19.94 8
 
0.9%
19.74 5
 
0.6%
15.09 4
 
0.5%
491.64 4
 
0.5%
341.69 4
 
0.5%
19.91 3
 
0.4%
19.96 3
 
0.4%
19.93 3
 
0.4%
Other values (732) 798
93.7%
ValueCountFrequency (%)
0.0 11
1.3%
0.08 1
 
0.1%
0.42 1
 
0.1%
1.12 1
 
0.1%
1.45 1
 
0.1%
2.07 1
 
0.1%
2.1 1
 
0.1%
2.2 1
 
0.1%
2.25 1
 
0.1%
2.39 1
 
0.1%
ValueCountFrequency (%)
798.55 1
0.1%
685.2865 1
0.1%
679.09 1
0.1%
606.436 2
0.2%
599.8116 1
0.1%
585.7 1
0.1%
546.5372 1
0.1%
531.9154 1
0.1%
528.04 1
0.1%
517.39 1
0.1%

최고높이(m)
Real number (ℝ)

Distinct291
Distinct (%)34.2%
Missing2
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean9.4721047
Minimum0
Maximum69
Zeros3
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size7.6 KiB
2024-03-14T22:28:08.127560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.1725
Q15.6
median7.97
Q39.175
95-th percentile23.737
Maximum69
Range69
Interquartile range (IQR)3.575

Descriptive statistics

Standard deviation7.3554978
Coefficient of variation (CV)0.77654313
Kurtosis17.67599
Mean9.4721047
Median Absolute Deviation (MAD)2.01
Skewness3.6490101
Sum8051.289
Variance54.103348
MonotonicityNot monotonic
2024-03-14T22:28:08.385602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.9 33
 
3.9%
8.1 31
 
3.6%
8.8 24
 
2.8%
7.7 23
 
2.7%
8.7 19
 
2.2%
5.1 18
 
2.1%
4.5 17
 
2.0%
8.6 16
 
1.9%
8.0 16
 
1.9%
7.6 16
 
1.9%
Other values (281) 637
74.8%
ValueCountFrequency (%)
0.0 3
0.4%
2.31 1
 
0.1%
2.67 1
 
0.1%
2.69 1
 
0.1%
2.7 1
 
0.1%
2.71 1
 
0.1%
2.8 1
 
0.1%
2.81 1
 
0.1%
2.83 2
0.2%
2.86 1
 
0.1%
ValueCountFrequency (%)
69.0 1
 
0.1%
62.5 1
 
0.1%
61.1 1
 
0.1%
57.5 1
 
0.1%
49.55 1
 
0.1%
45.9 1
 
0.1%
44.8 1
 
0.1%
44.6 1
 
0.1%
38.85 1
 
0.1%
38.44 4
0.5%

최대지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.9%
Missing181
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean0.21907601
Minimum0
Maximum5
Zeros569
Zeros (%)66.8%
Negative0
Negative (%)0.0%
Memory size7.6 KiB
2024-03-14T22:28:08.602250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5843683
Coefficient of variation (CV)2.6674226
Kurtosis13.176116
Mean0.21907601
Median Absolute Deviation (MAD)0
Skewness3.2525554
Sum147
Variance0.34148631
MonotonicityNot monotonic
2024-03-14T22:28:08.788126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 569
66.8%
1 65
 
7.6%
2 32
 
3.8%
3 3
 
0.4%
4 1
 
0.1%
5 1
 
0.1%
(Missing) 181
 
21.2%
ValueCountFrequency (%)
0 569
66.8%
1 65
 
7.6%
2 32
 
3.8%
3 3
 
0.4%
4 1
 
0.1%
5 1
 
0.1%
ValueCountFrequency (%)
5 1
 
0.1%
4 1
 
0.1%
3 3
 
0.4%
2 32
 
3.8%
1 65
 
7.6%
0 569
66.8%

최대지상층수
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8157277
Minimum0
Maximum13
Zeros11
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size7.6 KiB
2024-03-14T22:28:08.973491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum13
Range13
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.6100701
Coefficient of variation (CV)0.88673545
Kurtosis11.731283
Mean1.8157277
Median Absolute Deviation (MAD)0
Skewness3.0849756
Sum1547
Variance2.5923258
MonotonicityNot monotonic
2024-03-14T22:28:09.217648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 511
60.0%
2 196
 
23.0%
4 47
 
5.5%
3 41
 
4.8%
8 11
 
1.3%
6 11
 
1.3%
5 11
 
1.3%
0 11
 
1.3%
10 4
 
0.5%
7 3
 
0.4%
Other values (4) 6
 
0.7%
ValueCountFrequency (%)
0 11
 
1.3%
1 511
60.0%
2 196
 
23.0%
3 41
 
4.8%
4 47
 
5.5%
5 11
 
1.3%
6 11
 
1.3%
7 3
 
0.4%
8 11
 
1.3%
9 3
 
0.4%
ValueCountFrequency (%)
13 1
 
0.1%
12 1
 
0.1%
11 1
 
0.1%
10 4
 
0.5%
9 3
 
0.4%
8 11
 
1.3%
7 3
 
0.4%
6 11
 
1.3%
5 11
 
1.3%
4 47
5.5%

구조
Categorical

Distinct16
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
일반철골구조
406 
철근콘크리트구조
254 
경량철골구조
92 
기타강구조
 
24
일반목구조
 
22
Other values (11)
54 

Length

Max length11
Median length6
Mean length6.4800469
Min length4

Unique

Unique3 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
일반철골구조 406
47.7%
철근콘크리트구조 254
29.8%
경량철골구조 92
 
10.8%
기타강구조 24
 
2.8%
일반목구조 22
 
2.6%
<NA> 18
 
2.1%
강파이프구조 8
 
0.9%
블록구조 8
 
0.9%
벽돌구조 8
 
0.9%
철골철근콘크리트구조 3
 
0.4%
Other values (6) 9
 
1.1%

Length

2024-03-14T22:28:09.498653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반철골구조 406
47.7%
철근콘크리트구조 254
29.8%
경량철골구조 92
 
10.8%
기타강구조 24
 
2.8%
일반목구조 22
 
2.6%
na 18
 
2.1%
강파이프구조 8
 
0.9%
블록구조 8
 
0.9%
벽돌구조 8
 
0.9%
철골철근콘크리트구조 3
 
0.4%
Other values (6) 9
 
1.1%

주용도
Categorical

Distinct26
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
제2종근린생활시설
273 
단독주택
228 
제1종근린생활시설
114 
공장
78 
창고시설
46 
Other values (21)
113 

Length

Max length10
Median length9
Mean length6.3650235
Min length2

Unique

Unique5 ?
Unique (%)0.6%

Sample

1st row제2종근린생활시설
2nd row단독주택
3rd row공장
4th row제2종근린생활시설
5th row제2종근린생활시설

Common Values

ValueCountFrequency (%)
제2종근린생활시설 273
32.0%
단독주택 228
26.8%
제1종근린생활시설 114
13.4%
공장 78
 
9.2%
창고시설 46
 
5.4%
자원순환관련시설 18
 
2.1%
공동주택 14
 
1.6%
자동차관련시설 12
 
1.4%
동물및식물관련시설 12
 
1.4%
야영장시설 11
 
1.3%
Other values (16) 46
 
5.4%

Length

2024-03-14T22:28:09.737187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제2종근린생활시설 273
32.0%
단독주택 228
26.8%
제1종근린생활시설 114
13.4%
공장 78
 
9.2%
창고시설 46
 
5.4%
자원순환관련시설 18
 
2.1%
공동주택 14
 
1.6%
자동차관련시설 12
 
1.4%
동물및식물관련시설 12
 
1.4%
야영장시설 11
 
1.3%
Other values (16) 46
 
5.4%

부속용도
Text

MISSING 

Distinct230
Distinct (%)38.6%
Missing256
Missing (%)30.0%
Memory size6.8 KiB
2024-03-14T22:28:10.406758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length36.5
Mean length6.9110738
Min length2

Characters and Unicode

Total characters4119
Distinct characters192
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique183 ?
Unique (%)30.7%

Sample

1st row제1종근린생활시설
2nd row제조업소
3rd row제조업소
4th row소매점
5th row제조업소, 사무소
ValueCountFrequency (%)
제조업소 95
 
13.4%
사무소 76
 
10.7%
소매점 63
 
8.9%
단독주택 47
 
6.6%
다가구주택 23
 
3.2%
일반음식점 20
 
2.8%
및 18
 
2.5%
농업용창고 13
 
1.8%
제1종근린생활시설 12
 
1.7%
1가구 9
 
1.3%
Other values (211) 332
46.9%
2024-03-14T22:28:11.602682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 311
 
7.6%
제 181
 
4.4%
시 157
 
3.8%
설 148
 
3.6%
사 147
 
3.6%
업 145
 
3.5%
, 141
 
3.4%
점 136
 
3.3%
무 131
 
3.2%
주 121
 
2.9%
Other values (182) 2501
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3548
86.1%
Other Punctuation 165
 
4.0%
Space Separator 117
 
2.8%
Decimal Number 108
 
2.6%
Close Punctuation 88
 
2.1%
Open Punctuation 86
 
2.1%
Dash Punctuation 5
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 311
 
8.8%
제 181
 
5.1%
시 157
 
4.4%
설 148
 
4.2%
사 147
 
4.1%
업 145
 
4.1%
점 136
 
3.8%
무 131
 
3.7%
주 121
 
3.4%
택 113
 
3.2%
Other values (168) 1958
55.2%
Decimal Number
ValueCountFrequency (%)
1 53
49.1%
2 49
45.4%
7 3
 
2.8%
5 2
 
1.9%
3 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
, 141
85.5%
/ 20
 
12.1%
· 3
 
1.8%
: 1
 
0.6%
Space Separator
ValueCountFrequency (%)
117
100.0%
Close Punctuation
ValueCountFrequency (%)
) 88
100.0%
Open Punctuation
ValueCountFrequency (%)
( 86
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3548
86.1%
Common 571
 
13.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 311
 
8.8%
제 181
 
5.1%
시 157
 
4.4%
설 148
 
4.2%
사 147
 
4.1%
업 145
 
4.1%
점 136
 
3.8%
무 131
 
3.7%
주 121
 
3.4%
택 113
 
3.2%
Other values (168) 1958
55.2%
Common
ValueCountFrequency (%)
, 141
24.7%
117
20.5%
) 88
15.4%
( 86
15.1%
1 53
 
9.3%
2 49
 
8.6%
/ 20
 
3.5%
- 5
 
0.9%
· 3
 
0.5%
7 3
 
0.5%
Other values (4) 6
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3548
86.1%
ASCII 568
 
13.8%
None 3
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 311
 
8.8%
제 181
 
5.1%
시 157
 
4.4%
설 148
 
4.2%
사 147
 
4.1%
업 145
 
4.1%
점 136
 
3.8%
무 131
 
3.7%
주 121
 
3.4%
택 113
 
3.2%
Other values (168) 1958
55.2%
ASCII
ValueCountFrequency (%)
, 141
24.8%
117
20.6%
) 88
15.5%
( 86
15.1%
1 53
 
9.3%
2 49
 
8.6%
/ 20
 
3.5%
- 5
 
0.9%
7 3
 
0.5%
5 2
 
0.4%
Other values (3) 4
 
0.7%
None
ValueCountFrequency (%)
· 3
100.0%

용도지역
Categorical

Distinct19
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
계획관리지역
166 
자연녹지지역
165 
제1종일반주거지역
110 
가축사육제한구역
105 
보전관리지역
67 
Other values (14)
239 

Length

Max length9
Median length6
Mean length6.6619718
Min length4

Unique

Unique3 ?
Unique (%)0.4%

Sample

1st row준주거지역
2nd row제1종전용주거지역
3rd row제1종일반주거지역
4th row자연녹지지역
5th row자연녹지지역

Common Values

ValueCountFrequency (%)
계획관리지역 166
19.5%
자연녹지지역 165
19.4%
제1종일반주거지역 110
12.9%
가축사육제한구역 105
12.3%
보전관리지역 67
7.9%
생산녹지지역 56
 
6.6%
농림지역 33
 
3.9%
준주거지역 31
 
3.6%
제2종일반주거지역 31
 
3.6%
생산관리지역 26
 
3.1%
Other values (9) 62
 
7.3%

Length

2024-03-14T22:28:11.852870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
계획관리지역 166
19.5%
자연녹지지역 165
19.4%
제1종일반주거지역 110
12.9%
가축사육제한구역 105
12.3%
보전관리지역 67
7.9%
생산녹지지역 56
 
6.6%
농림지역 33
 
3.9%
준주거지역 31
 
3.6%
제2종일반주거지역 31
 
3.6%
생산관리지역 26
 
3.1%
Other values (9) 62
 
7.3%

허가 및 신고일
Date

Distinct220
Distinct (%)25.8%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
Minimum2023-01-04 00:00:00
Maximum2023-12-19 00:00:00
2024-03-14T22:28:12.063722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:28:12.294440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

설계자명
Text

Distinct169
Distinct (%)19.9%
Missing1
Missing (%)0.1%
Memory size6.8 KiB
2024-03-14T22:28:13.152416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length3
Mean length3.2984724
Min length2

Characters and Unicode

Total characters2807
Distinct characters153
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)10.7%

Sample

1st row표덕준
2nd row박종숭
3rd row김중경
4th row김중경
5th row강상철
ValueCountFrequency (%)
김중경 69
 
8.1%
윤상만 45
 
5.3%
최선호 37
 
4.3%
김경섭 30
 
3.5%
표덕준 30
 
3.5%
이향숙 26
 
3.1%
김용신 26
 
3.1%
홍원호 25
 
2.9%
정은기 23
 
2.7%
박종숭 23
 
2.7%
Other values (159) 517
60.8%
2024-03-14T22:28:14.487366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 236
 
8.4%
이 160
 
5.7%
중 105
 
3.7%
경 102
 
3.6%
영 88
 
3.1%
호 76
 
2.7%
박 63
 
2.2%
현 59
 
2.1%
상 56
 
2.0%
준 56
 
2.0%
Other values (143) 1806
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2769
98.6%
Close Punctuation 19
 
0.7%
Open Punctuation 19
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 236
 
8.5%
이 160
 
5.8%
중 105
 
3.8%
경 102
 
3.7%
영 88
 
3.2%
호 76
 
2.7%
박 63
 
2.3%
현 59
 
2.1%
상 56
 
2.0%
준 56
 
2.0%
Other values (141) 1768
63.8%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2769
98.6%
Common 38
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 236
 
8.5%
이 160
 
5.8%
중 105
 
3.8%
경 102
 
3.7%
영 88
 
3.2%
호 76
 
2.7%
박 63
 
2.3%
현 59
 
2.1%
상 56
 
2.0%
준 56
 
2.0%
Other values (141) 1768
63.8%
Common
ValueCountFrequency (%)
) 19
50.0%
( 19
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2769
98.6%
ASCII 38
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 236
 
8.5%
이 160
 
5.8%
중 105
 
3.8%
경 102
 
3.7%
영 88
 
3.2%
호 76
 
2.7%
박 63
 
2.3%
현 59
 
2.1%
상 56
 
2.0%
준 56
 
2.0%
Other values (141) 1768
63.8%
ASCII
ValueCountFrequency (%)
) 19
50.0%
( 19
50.0%

하수처리시설명
Categorical

IMBALANCE 

Distinct13
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
하수종말처리장연결
523 
<NA>
150 
기타오수처리시설
96 
접촉폭기방법
 
26
부패탱크방법
 
19
Other values (8)
 
38

Length

Max length13
Median length9
Mean length7.7711268
Min length4

Unique

Unique3 ?
Unique (%)0.4%

Sample

1st row하수종말처리장연결
2nd row하수종말처리장연결
3rd row하수종말처리장연결
4th row하수종말처리장연결
5th row기타오수처리시설

Common Values

ValueCountFrequency (%)
하수종말처리장연결 523
61.4%
<NA> 150
 
17.6%
기타오수처리시설 96
 
11.3%
접촉폭기방법 26
 
3.1%
부패탱크방법 19
 
2.2%
기타단독정화조 17
 
2.0%
접촉산화방법 8
 
0.9%
현수미생물접촉방법 5
 
0.6%
장기폭기방법 3
 
0.4%
마을하수처리장연결 2
 
0.2%
Other values (3) 3
 
0.4%

Length

2024-03-14T22:28:14.891790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
하수종말처리장연결 523
61.4%
na 150
 
17.6%
기타오수처리시설 96
 
11.3%
접촉폭기방법 26
 
3.1%
부패탱크방법 19
 
2.2%
기타단독정화조 17
 
2.0%
접촉산화방법 8
 
0.9%
현수미생물접촉방법 5
 
0.6%
장기폭기방법 3
 
0.4%
마을하수처리장연결 2
 
0.2%
Other values (3) 3
 
0.4%

총주차대수
Real number (ℝ)

ZEROS 

Distinct71
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.10446
Minimum0
Maximum663
Zeros89
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size7.6 KiB
2024-03-14T22:28:15.261319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile40
Maximum663
Range663
Interquartile range (IQR)4

Descriptive statistics

Standard deviation43.642088
Coefficient of variation (CV)4.3190915
Kurtosis157.13827
Mean10.10446
Median Absolute Deviation (MAD)1
Skewness11.703226
Sum8609
Variance1904.6318
MonotonicityNot monotonic
2024-03-14T22:28:15.697403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 246
28.9%
2 125
14.7%
3 118
13.8%
0 89
 
10.4%
4 47
 
5.5%
6 33
 
3.9%
5 32
 
3.8%
8 17
 
2.0%
10 10
 
1.2%
7 10
 
1.2%
Other values (61) 125
14.7%
ValueCountFrequency (%)
0 89
 
10.4%
1 246
28.9%
2 125
14.7%
3 118
13.8%
4 47
 
5.5%
5 32
 
3.8%
6 33
 
3.9%
7 10
 
1.2%
8 17
 
2.0%
9 9
 
1.1%
ValueCountFrequency (%)
663 1
0.1%
642 1
0.1%
598 1
0.1%
411 1
0.1%
246 1
0.1%
144 1
0.1%
124 1
0.1%
123 1
0.1%
119 1
0.1%
111 1
0.1%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
허가과
852 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
허가과 852
100.0%

Length

2024-03-14T22:28:16.029814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:28:16.301269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
허가과 852
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
Minimum2024-01-05 00:00:00
Maximum2024-01-05 00:00:00
2024-03-14T22:28:16.560490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:28:16.854567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

번호건축구분허가 및 신고번호대지위치지목대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)건폐율(퍼센트)용적률(퍼센트)최고높이(m)최대지하층수최대지상층수구조주용도부속용도용도지역허가 및 신고일설계자명하수처리시설명총주차대수관리기관명데이터기준일자
0신규대수선2023-허가과-대수선허가-8경기도 양주시 회정동 46-7대1087.0418.6837.238.5177.0212.7<NA>2<NA>제2종근린생활시설제1종근린생활시설준주거지역2023-12-18표덕준하수종말처리장연결6허가과2024-01-05
1신규신축2023-허가과-신축허가-314경기도 양주시 옥정동 932-1대286.6113.4159.1539.5755.537.502일반목구조단독주택<NA>제1종전용주거지역2023-12-18박종숭하수종말처리장연결2허가과2024-01-05
2신규신축2023-허가과-신축허가-315경기도 양주시 은현면 선암리 290-2 외1필지전3005.01483.41483.449.3649.368.701일반철골구조공장<NA>제1종일반주거지역2023-12-18김중경하수종말처리장연결4허가과2024-01-05
3신규신축2023-허가과-신축허가-316경기도 양주시 은현면 선암리 288-14 외2필지전903.0359.1359.139.7739.777.501일반철골구조제2종근린생활시설<NA>자연녹지지역2023-12-18김중경하수종말처리장연결2허가과2024-01-05
4신규신축2023-허가과-신축허가-313경기도 양주시 남면 신산리 산 20임야1980.0336.0336.016.9716.977.301일반철골구조제2종근린생활시설제조업소자연녹지지역2023-12-14강상철기타오수처리시설2허가과2024-01-05
5신규대수선2023-허가과-대수선허가-7경기도 양주시 은현면 하패리 1030대2194.0291.55376.2613.2917.1510.0<NA>2일반철골구조제2종근린생활시설제조업소자연녹지지역2023-12-12정은기하수종말처리장연결3허가과2024-01-05
6신규신축2023-허가과-신축허가-311경기도 양주시 은현면 운암리 산 13-9임야4959.0498.96498.9610.0610.066.101일반철골구조제1종근린생활시설소매점보전녹지지역2023-12-12표덕준하수종말처리장연결8허가과2024-01-05
7신규신축2023-허가과-신축허가-312경기도 양주시 만송동 693-1대272.9136.15194.6249.8971.3210.6202철근콘크리트구조단독주택<NA>제1종전용주거지역2023-12-12김영석하수종말처리장연결3허가과2024-01-05
8신규신축2023-허가과-신축허가-310경기도 양주시 봉양동 479-7대893.0197.6296.422.1333.198.802일반철골구조제2종근린생활시설제조업소, 사무소제1종일반주거지역2023-12-08김태순하수종말처리장연결2허가과2024-01-05
9신규신축2023-허가과-신축허가-307경기도 양주시 광적면 석우리 419-7답964.0192.06192.0619.923219.927.08501경량철골구조제2종근린생활시설제1종근린생활시설자연녹지지역2023-12-07이용목하수종말처리장연결1허가과2024-01-05
번호건축구분허가 및 신고번호대지위치지목대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)건폐율(퍼센트)용적률(퍼센트)최고높이(m)최대지하층수최대지상층수구조주용도부속용도용도지역허가 및 신고일설계자명하수처리시설명총주차대수관리기관명데이터기준일자
842신규신축2023-허가과-신축신고-21경기도 양주시 덕계동 산 48-8임야330.065.3198.7219.790929.928.102철근콘크리트구조단독주택<NA>보전관리지역2023-01-09김중경하수종말처리장연결1허가과2024-01-05
843신규신축2023-허가과-신축신고-22경기도 양주시 덕계동 산 48-8임야330.065.3198.7219.790929.91528.102철근콘크리트구조단독주택<NA>보전관리지역2023-01-09김중경하수종말처리장연결1허가과2024-01-05
844신규신축2023-허가과-신축신고-23경기도 양주시 덕계동 산 48-8임야330.065.3198.7219.7929.938.102철근콘크리트구조단독주택<NA>보전관리지역2023-01-09김중경하수종말처리장연결1허가과2024-01-05
845신규신축2023-허가과-신축신고-24경기도 양주시 덕계동 산 48-8임야361.053.4698.7214.8127.34638.102철근콘크리트구조단독주택<NA>보전관리지역2023-01-09김중경하수종말처리장연결1허가과2024-01-05
846신규신축2023-허가과-신축신고-4경기도 양주시 장흥면 석현리 338-13잡종지267.0106.26158.439.859.339.76502경량철골구조단독주택<NA>계획관리지역2023-01-05박병운하수종말처리장연결1허가과2024-01-05
847신규신축2023-허가과-신축신고-5경기도 양주시 은현면 하패리 717-7전480.094.8294.8219.7519.758.401일반철골구조제2종근린생활시설<NA>자연녹지지역2023-01-05홍원호<NA>2허가과2024-01-05
848신규신축2023-허가과-신축신고-6경기도 양주시 회암동 452-7임야1453.021.021.01.451.453.8601경량철골구조제2종근린생활시설배드민턴장(탈의실)보전관리지역2023-01-05홍장표하수종말처리장연결1허가과2024-01-05
849신규신축2023-허가과-신축신고-1경기도 양주시 삼숭동 542-6답376.075.0496.0419.9625.547.9202철근콘크리트구조단독주택<NA>생산녹지지역2023-01-04김중철하수종말처리장연결1허가과2024-01-05
850신규신축2023-허가과-신축신고-2경기도 양주시 광적면 덕도리 1002답3237.0923.67923.6728.5428.547.701일반철골구조공장<NA>계획관리지역2023-01-04김영택하수종말처리장연결6허가과2024-01-05
851신규신축2023-허가과-신축신고-3경기도 양주시 삼숭동 310-9 외2필지도로73.017.9217.9224.5524.554.7301경량철골구조제1종근린생활시설제1종근린생활시설(소매점)제1종일반주거지역2023-01-04이호원하수종말처리장연결0허가과2024-01-05