Overview

Dataset statistics

Number of variables29
Number of observations114
Missing cells1070
Missing cells (%)32.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.4 KiB
Average record size in memory246.2 B

Variable types

Categorical7
Text7
DateTime5
Unsupported6
Numeric4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),비상시설위치,시설구분명,시설명_건물명,해제일자
Author노원구
URLhttps://data.seoul.go.kr/dataList/OA-20012/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 56 (49.1%) missing valuesMissing
폐업일자 has 56 (49.1%) missing valuesMissing
휴업시작일자 has 114 (100.0%) missing valuesMissing
휴업종료일자 has 114 (100.0%) missing valuesMissing
재개업일자 has 114 (100.0%) missing valuesMissing
전화번호 has 114 (100.0%) missing valuesMissing
소재지우편번호 has 114 (100.0%) missing valuesMissing
도로명주소 has 34 (29.8%) missing valuesMissing
도로명우편번호 has 41 (36.0%) missing valuesMissing
업태구분명 has 114 (100.0%) missing valuesMissing
좌표정보(X) has 39 (34.2%) missing valuesMissing
좌표정보(Y) has 39 (34.2%) missing valuesMissing
비상시설위치 has 32 (28.1%) missing valuesMissing
시설명_건물명 has 32 (28.1%) missing valuesMissing
해제일자 has 57 (50.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전화번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 05:39:13.084617
Analysis finished2024-05-11 05:39:13.868195
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
3100000
114 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3100000
2nd row3100000
3rd row3100000
4th row3100000
5th row3100000

Common Values

ValueCountFrequency (%)
3100000 114
100.0%

Length

2024-05-11T14:39:13.955206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:14.098212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3100000 114
100.0%

관리번호
Text

UNIQUE 

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-05-11T14:39:14.341900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters2052
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)100.0%

Sample

1st row3100000-E197100001
2nd row3100000-E198200002
3rd row3100000-E198200003
4th row3100000-E198200004
5th row3100000-E198500002
ValueCountFrequency (%)
3100000-e197100001 1
 
0.9%
3100000-e200500001 1
 
0.9%
3100000-e200400012 1
 
0.9%
3100000-e200400011 1
 
0.9%
3100000-e200400010 1
 
0.9%
3100000-e200400009 1
 
0.9%
3100000-e200400008 1
 
0.9%
3100000-e200400007 1
 
0.9%
3100000-e200400006 1
 
0.9%
3100000-e200400005 1
 
0.9%
Other values (104) 104
91.2%
2024-05-11T14:39:14.867648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1115
54.3%
1 244
 
11.9%
3 131
 
6.4%
9 122
 
5.9%
- 114
 
5.6%
E 114
 
5.6%
2 87
 
4.2%
4 36
 
1.8%
8 35
 
1.7%
6 22
 
1.1%
Other values (2) 32
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1824
88.9%
Dash Punctuation 114
 
5.6%
Uppercase Letter 114
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1115
61.1%
1 244
 
13.4%
3 131
 
7.2%
9 122
 
6.7%
2 87
 
4.8%
4 36
 
2.0%
8 35
 
1.9%
6 22
 
1.2%
7 19
 
1.0%
5 13
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1938
94.4%
Latin 114
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1115
57.5%
1 244
 
12.6%
3 131
 
6.8%
9 122
 
6.3%
- 114
 
5.9%
2 87
 
4.5%
4 36
 
1.9%
8 35
 
1.8%
6 22
 
1.1%
7 19
 
1.0%
Latin
ValueCountFrequency (%)
E 114
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2052
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1115
54.3%
1 244
 
11.9%
3 131
 
6.4%
9 122
 
5.9%
- 114
 
5.6%
E 114
 
5.6%
2 87
 
4.2%
4 36
 
1.8%
8 35
 
1.7%
6 22
 
1.1%
Other values (2) 32
 
1.6%

인허가일자
Date

Distinct81
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum1971-09-01 00:00:00
Maximum2022-01-03 00:00:00
2024-05-11T14:39:15.111801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:39:15.305661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct49
Distinct (%)84.5%
Missing56
Missing (%)49.1%
Memory size1.0 KiB
Minimum2004-08-25 00:00:00
Maximum2023-11-15 00:00:00
2024-05-11T14:39:15.518933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:39:16.060599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)

영업상태코드
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
4
58 
1
56 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row1
3rd row1
4th row1
5th row4

Common Values

ValueCountFrequency (%)
4 58
50.9%
1 56
49.1%

Length

2024-05-11T14:39:16.253995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:16.434429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 58
50.9%
1 56
49.1%

영업상태명
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
취소/말소/만료/정지/중지
58 
영업/정상
56 

Length

Max length14
Median length14
Mean length9.5789474
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
취소/말소/만료/정지/중지 58
50.9%
영업/정상 56
49.1%

Length

2024-05-11T14:39:16.605586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:16.751123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취소/말소/만료/정지/중지 58
50.9%
영업/정상 56
49.1%

상세영업상태코드
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
19
58 
18
56 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row19
2nd row18
3rd row18
4th row18
5th row19

Common Values

ValueCountFrequency (%)
19 58
50.9%
18 56
49.1%

Length

2024-05-11T14:39:16.907180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:17.095551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19 58
50.9%
18 56
49.1%

상세영업상태명
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
사용중지
58 
사용중
56 

Length

Max length4
Median length4
Mean length3.5087719
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사용중지
2nd row사용중
3rd row사용중
4th row사용중
5th row사용중지

Common Values

ValueCountFrequency (%)
사용중지 58
50.9%
사용중 56
49.1%

Length

2024-05-11T14:39:17.271720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:17.434471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중지 58
50.9%
사용중 56
49.1%

폐업일자
Date

MISSING 

Distinct49
Distinct (%)84.5%
Missing56
Missing (%)49.1%
Memory size1.0 KiB
Minimum2004-08-25 00:00:00
Maximum2023-11-15 00:00:00
2024-05-11T14:39:17.600425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:39:17.804209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing114
Missing (%)100.0%
Memory size1.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing114
Missing (%)100.0%
Memory size1.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing114
Missing (%)100.0%
Memory size1.1 KiB

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing114
Missing (%)100.0%
Memory size1.1 KiB

소재지면적
Real number (ℝ)

Distinct57
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean147.36754
Minimum0
Maximum750
Zeros1
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T14:39:18.051599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile50
Q184
median93
Q3160
95-th percentile400
Maximum750
Range750
Interquartile range (IQR)76

Descriptive statistics

Standard deviation118.90018
Coefficient of variation (CV)0.80682746
Kurtosis6.423926
Mean147.36754
Median Absolute Deviation (MAD)24.5
Skewness2.2961212
Sum16799.9
Variance14137.253
MonotonicityNot monotonic
2024-05-11T14:39:18.283019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.0 11
 
9.6%
84.0 9
 
7.9%
88.0 6
 
5.3%
80.0 5
 
4.4%
41.0 4
 
3.5%
200.0 4
 
3.5%
99.0 3
 
2.6%
98.59 3
 
2.6%
300.0 3
 
2.6%
400.0 3
 
2.6%
Other values (47) 63
55.3%
ValueCountFrequency (%)
0.0 1
 
0.9%
41.0 4
3.5%
50.0 2
1.8%
57.0 1
 
0.9%
60.0 1
 
0.9%
67.0 2
1.8%
68.0 1
 
0.9%
69.0 2
1.8%
70.0 1
 
0.9%
72.0 1
 
0.9%
ValueCountFrequency (%)
750.0 1
 
0.9%
560.0 1
 
0.9%
450.0 1
 
0.9%
418.0 2
1.8%
400.0 3
2.6%
386.0 1
 
0.9%
346.0 2
1.8%
300.0 3
2.6%
289.0 1
 
0.9%
285.0 1
 
0.9%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing114
Missing (%)100.0%
Memory size1.1 KiB

지번주소
Text

Distinct101
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-05-11T14:39:18.825288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length31.5
Mean length22.95614
Min length10

Characters and Unicode

Total characters2617
Distinct characters77
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)80.7%

Sample

1st row서울특별시 노원구 공릉동 산26번지
2nd row서울특별시 노원구 공릉동 산 230번지 30호
3rd row서울특별시 노원구 공릉동 230번지 30호
4th row서울특별시 노원구 공릉동 산 230번지 30호
5th row서울특별시 노원구 공릉동 155번지
ValueCountFrequency (%)
노원구 113
19.6%
서울특별시 112
19.4%
상계동 44
 
7.6%
공릉동 26
 
4.5%
중계동 17
 
3.0%
2호 16
 
2.8%
호 15
 
2.6%
산 14
 
2.4%
월계동 14
 
2.4%
1호 13
 
2.3%
Other values (131) 192
33.3%
2024-05-11T14:39:19.685007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
530
20.3%
원 118
 
4.5%
서 116
 
4.4%
울 116
 
4.4%
노 114
 
4.4%
동 114
 
4.4%
시 113
 
4.3%
구 113
 
4.3%
특 112
 
4.3%
별 112
 
4.3%
Other values (67) 1059
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1639
62.6%
Space Separator 530
 
20.3%
Decimal Number 442
 
16.9%
Dash Punctuation 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 118
 
7.2%
서 116
 
7.1%
울 116
 
7.1%
노 114
 
7.0%
동 114
 
7.0%
시 113
 
6.9%
구 113
 
6.9%
특 112
 
6.8%
별 112
 
6.8%
지 105
 
6.4%
Other values (55) 506
30.9%
Decimal Number
ValueCountFrequency (%)
1 89
20.1%
2 70
15.8%
3 59
13.3%
0 43
9.7%
5 41
9.3%
6 33
 
7.5%
4 32
 
7.2%
7 31
 
7.0%
8 24
 
5.4%
9 20
 
4.5%
Space Separator
ValueCountFrequency (%)
530
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1639
62.6%
Common 978
37.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 118
 
7.2%
서 116
 
7.1%
울 116
 
7.1%
노 114
 
7.0%
동 114
 
7.0%
시 113
 
6.9%
구 113
 
6.9%
특 112
 
6.8%
별 112
 
6.8%
지 105
 
6.4%
Other values (55) 506
30.9%
Common
ValueCountFrequency (%)
530
54.2%
1 89
 
9.1%
2 70
 
7.2%
3 59
 
6.0%
0 43
 
4.4%
5 41
 
4.2%
6 33
 
3.4%
4 32
 
3.3%
7 31
 
3.2%
8 24
 
2.5%
Other values (2) 26
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1639
62.6%
ASCII 978
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
530
54.2%
1 89
 
9.1%
2 70
 
7.2%
3 59
 
6.0%
0 43
 
4.4%
5 41
 
4.2%
6 33
 
3.4%
4 32
 
3.3%
7 31
 
3.2%
8 24
 
2.5%
Other values (2) 26
 
2.7%
Hangul
ValueCountFrequency (%)
원 118
 
7.2%
서 116
 
7.1%
울 116
 
7.1%
노 114
 
7.0%
동 114
 
7.0%
시 113
 
6.9%
구 113
 
6.9%
특 112
 
6.8%
별 112
 
6.8%
지 105
 
6.4%
Other values (55) 506
30.9%

도로명주소
Text

MISSING 

Distinct72
Distinct (%)90.0%
Missing34
Missing (%)29.8%
Memory size1.0 KiB
2024-05-11T14:39:20.089412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length37
Mean length27.45
Min length22

Characters and Unicode

Total characters2196
Distinct characters114
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)85.0%

Sample

1st row서울특별시 노원구 화랑로 574 (공릉동)
2nd row서울특별시 노원구 화랑로 574-0 (공릉동)
3rd row서울특별시 노원구 화랑로 574 (공릉동)
4th row서울특별시 노원구 수락산로 24 (상계동)
5th row서울특별시 노원구 중계로16나길 13 (중계동)
ValueCountFrequency (%)
서울특별시 80
19.1%
노원구 80
19.1%
상계동 32
 
7.6%
공릉동 18
 
4.3%
화랑로 13
 
3.1%
중계동 13
 
3.1%
노원로 8
 
1.9%
월계동 8
 
1.9%
하계동 7
 
1.7%
574 6
 
1.4%
Other values (120) 154
36.8%
2024-05-11T14:39:20.754901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
423
19.3%
원 95
 
4.3%
노 93
 
4.2%
동 91
 
4.1%
서 81
 
3.7%
구 81
 
3.7%
로 80
 
3.6%
울 80
 
3.6%
( 80
 
3.6%
) 80
 
3.6%
Other values (104) 1012
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1300
59.2%
Space Separator 423
 
19.3%
Decimal Number 283
 
12.9%
Open Punctuation 80
 
3.6%
Close Punctuation 80
 
3.6%
Other Punctuation 20
 
0.9%
Dash Punctuation 10
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 95
 
7.3%
노 93
 
7.2%
동 91
 
7.0%
서 81
 
6.2%
구 81
 
6.2%
로 80
 
6.2%
울 80
 
6.2%
시 80
 
6.2%
특 80
 
6.2%
별 80
 
6.2%
Other values (89) 459
35.3%
Decimal Number
ValueCountFrequency (%)
4 56
19.8%
1 43
15.2%
2 36
12.7%
5 34
12.0%
7 29
10.2%
3 27
9.5%
6 20
 
7.1%
8 17
 
6.0%
0 13
 
4.6%
9 8
 
2.8%
Space Separator
ValueCountFrequency (%)
423
100.0%
Open Punctuation
ValueCountFrequency (%)
( 80
100.0%
Close Punctuation
ValueCountFrequency (%)
) 80
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1300
59.2%
Common 896
40.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 95
 
7.3%
노 93
 
7.2%
동 91
 
7.0%
서 81
 
6.2%
구 81
 
6.2%
로 80
 
6.2%
울 80
 
6.2%
시 80
 
6.2%
특 80
 
6.2%
별 80
 
6.2%
Other values (89) 459
35.3%
Common
ValueCountFrequency (%)
423
47.2%
( 80
 
8.9%
) 80
 
8.9%
4 56
 
6.2%
1 43
 
4.8%
2 36
 
4.0%
5 34
 
3.8%
7 29
 
3.2%
3 27
 
3.0%
, 20
 
2.2%
Other values (5) 68
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1300
59.2%
ASCII 896
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
423
47.2%
( 80
 
8.9%
) 80
 
8.9%
4 56
 
6.2%
1 43
 
4.8%
2 36
 
4.0%
5 34
 
3.8%
7 29
 
3.2%
3 27
 
3.0%
, 20
 
2.2%
Other values (5) 68
 
7.6%
Hangul
ValueCountFrequency (%)
원 95
 
7.3%
노 93
 
7.2%
동 91
 
7.0%
서 81
 
6.2%
구 81
 
6.2%
로 80
 
6.2%
울 80
 
6.2%
시 80
 
6.2%
특 80
 
6.2%
별 80
 
6.2%
Other values (89) 459
35.3%

도로명우편번호
Text

MISSING 

Distinct51
Distinct (%)69.9%
Missing41
Missing (%)36.0%
Memory size1.0 KiB
2024-05-11T14:39:21.225925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0547945
Min length5

Characters and Unicode

Total characters442
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

Unique37 ?
Unique (%)50.7%

Sample

1st row139241
2nd row139-742
3rd row139-742
4th row01717
5th row139208
ValueCountFrequency (%)
139242 6
 
8.2%
139-202 3
 
4.1%
139-207 3
 
4.1%
139-231 3
 
4.1%
139051 3
 
4.1%
139241 2
 
2.7%
139-223 2
 
2.7%
01701 2
 
2.7%
139-201 2
 
2.7%
139201 2
 
2.7%
Other values (41) 45
61.6%
2024-05-11T14:39:21.865685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 96
21.7%
3 62
14.0%
0 61
13.8%
9 57
12.9%
2 56
12.7%
- 26
 
5.9%
7 23
 
5.2%
4 19
 
4.3%
8 18
 
4.1%
5 16
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 416
94.1%
Dash Punctuation 26
 
5.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 96
23.1%
3 62
14.9%
0 61
14.7%
9 57
13.7%
2 56
13.5%
7 23
 
5.5%
4 19
 
4.6%
8 18
 
4.3%
5 16
 
3.8%
6 8
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 442
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 96
21.7%
3 62
14.0%
0 61
13.8%
9 57
12.9%
2 56
12.7%
- 26
 
5.9%
7 23
 
5.2%
4 19
 
4.3%
8 18
 
4.1%
5 16
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 442
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 96
21.7%
3 62
14.0%
0 61
13.8%
9 57
12.9%
2 56
12.7%
- 26
 
5.9%
7 23
 
5.2%
4 19
 
4.3%
8 18
 
4.1%
5 16
 
3.6%

사업장명
Text

Distinct107
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-05-11T14:39:22.265599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length7.0175439
Min length3

Characters and Unicode

Total characters800
Distinct characters179
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)87.7%

Sample

1st row이스턴캐슬(구태릉푸른동산)
2nd row군인복지기금태릉체력단련장(연습장2)
3rd row군인복지기금태릉체력단련장(11홀)
4th row군인복지기금태릉체력단련장(18홀)
5th row한전연수원3
ValueCountFrequency (%)
한국전력공사 4
 
3.3%
대영탕 2
 
1.6%
롯데백화점 2
 
1.6%
준목욕탕 2
 
1.6%
진흥대중탕 2
 
1.6%
서울온천 2
 
1.6%
인재개발원1 2
 
1.6%
원터근린공원 2
 
1.6%
인재개발원2 2
 
1.6%
산신제 1
 
0.8%
Other values (102) 102
82.9%
2024-05-11T14:39:23.027109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 25
 
3.1%
장 19
 
2.4%
공 16
 
2.0%
사 15
 
1.9%
( 14
 
1.8%
탕 14
 
1.8%
) 14
 
1.8%
대 13
 
1.6%
교 13
 
1.6%
우 12
 
1.5%
Other values (169) 645
80.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 743
92.9%
Decimal Number 20
 
2.5%
Open Punctuation 14
 
1.8%
Close Punctuation 14
 
1.8%
Space Separator 9
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 25
 
3.4%
장 19
 
2.6%
공 16
 
2.2%
사 15
 
2.0%
탕 14
 
1.9%
대 13
 
1.7%
교 13
 
1.7%
우 12
 
1.6%
중 12
 
1.6%
지 12
 
1.6%
Other values (160) 592
79.7%
Decimal Number
ValueCountFrequency (%)
2 8
40.0%
1 8
40.0%
6 1
 
5.0%
5 1
 
5.0%
3 1
 
5.0%
8 1
 
5.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 743
92.9%
Common 57
 
7.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 25
 
3.4%
장 19
 
2.6%
공 16
 
2.2%
사 15
 
2.0%
탕 14
 
1.9%
대 13
 
1.7%
교 13
 
1.7%
우 12
 
1.6%
중 12
 
1.6%
지 12
 
1.6%
Other values (160) 592
79.7%
Common
ValueCountFrequency (%)
( 14
24.6%
) 14
24.6%
9
15.8%
2 8
14.0%
1 8
14.0%
6 1
 
1.8%
5 1
 
1.8%
3 1
 
1.8%
8 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 743
92.9%
ASCII 57
 
7.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 25
 
3.4%
장 19
 
2.6%
공 16
 
2.2%
사 15
 
2.0%
탕 14
 
1.9%
대 13
 
1.7%
교 13
 
1.7%
우 12
 
1.6%
중 12
 
1.6%
지 12
 
1.6%
Other values (160) 592
79.7%
ASCII
ValueCountFrequency (%)
( 14
24.6%
) 14
24.6%
9
15.8%
2 8
14.0%
1 8
14.0%
6 1
 
1.8%
5 1
 
1.8%
3 1
 
1.8%
8 1
 
1.8%

최종수정일자
Date

UNIQUE 

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2004-08-25 00:00:00
Maximum2024-03-28 09:31:45
2024-05-11T14:39:23.275342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:39:23.501379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
I
74 
U
40 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 74
64.9%
U 40
35.1%

Length

2024-05-11T14:39:23.742079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:23.929720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 74
64.9%
u 40
35.1%

데이터갱신일자
Date

Distinct18
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-02 21:00:00
2024-05-11T14:39:24.094128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:39:24.292050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing114
Missing (%)100.0%
Memory size1.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct66
Distinct (%)88.0%
Missing39
Missing (%)34.2%
Infinite0
Infinite (%)0.0%
Mean206216.29
Minimum204325.99
Maximum209288.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T14:39:24.538563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum204325.99
5-th percentile204626.35
Q1205423.64
median206068.72
Q3206972.01
95-th percentile208167.15
Maximum209288.47
Range4962.483
Interquartile range (IQR)1548.3668

Descriptive statistics

Standard deviation1107.5582
Coefficient of variation (CV)0.0053708572
Kurtosis0.20658081
Mean206216.29
Median Absolute Deviation (MAD)748.43818
Skewness0.65244871
Sum15466221
Variance1226685.2
MonotonicityNot monotonic
2024-05-11T14:39:24.788703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
207764.044252325 2
 
1.8%
207111.945468592 2
 
1.8%
206415.545086691 2
 
1.8%
207421.02966982 2
 
1.8%
205320.28476675 2
 
1.8%
205484.497371795 2
 
1.8%
206097.301988985 2
 
1.8%
205184.615288515 2
 
1.8%
209288.472624641 2
 
1.8%
204325.989587591 1
 
0.9%
Other values (56) 56
49.1%
(Missing) 39
34.2%
ValueCountFrequency (%)
204325.989587591 1
0.9%
204380.112620307 1
0.9%
204496.606261601 1
0.9%
204558.457810284 1
0.9%
204655.450296645 1
0.9%
204821.215233328 1
0.9%
204968.505753143 1
0.9%
204970.28336918 1
0.9%
205016.515108838 1
0.9%
205025.562497705 1
0.9%
ValueCountFrequency (%)
209288.472624641 2
1.8%
208532.777004106 1
0.9%
208266.996697749 1
0.9%
208124.353456412 1
0.9%
207991.447347875 1
0.9%
207764.044252325 2
1.8%
207421.02966982 2
1.8%
207325.117427657 1
0.9%
207299.508715267 1
0.9%
207255.779256414 1
0.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct66
Distinct (%)88.0%
Missing39
Missing (%)34.2%
Infinite0
Infinite (%)0.0%
Mean460943.35
Minimum457016.53
Maximum464766.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T14:39:25.031810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum457016.53
5-th percentile457878.07
Q1459625.12
median461346.26
Q3462169.33
95-th percentile464313.94
Maximum464766.09
Range7749.5589
Interquartile range (IQR)2544.2127

Descriptive statistics

Standard deviation1910.5635
Coefficient of variation (CV)0.0041448986
Kurtosis-0.55215876
Mean460943.35
Median Absolute Deviation (MAD)1281.7241
Skewness-0.039399365
Sum34570751
Variance3650252.7
MonotonicityNot monotonic
2024-05-11T14:39:25.290552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
459565.540427906 2
 
1.8%
463089.784688928 2
 
1.8%
461546.032265974 2
 
1.8%
459008.686538335 2
 
1.8%
461419.881795004 2
 
1.8%
464766.089613886 2
 
1.8%
462429.123801129 2
 
1.8%
457670.095648213 2
 
1.8%
460064.53972057 2
 
1.8%
458245.314994 1
 
0.9%
Other values (56) 56
49.1%
(Missing) 39
34.2%
ValueCountFrequency (%)
457016.530711051 1
0.9%
457432.695085203 1
0.9%
457670.095648213 2
1.8%
457967.204210374 1
0.9%
457971.087789207 1
0.9%
458009.51865216 1
0.9%
458122.206427828 1
0.9%
458179.133782081 1
0.9%
458245.314994 1
0.9%
458317.423098869 1
0.9%
ValueCountFrequency (%)
464766.089613886 2
1.8%
464669.883296078 1
0.9%
464522.768676269 1
0.9%
464224.441400524 1
0.9%
464003.405075075 1
0.9%
463271.178437674 1
0.9%
463262.925337325 1
0.9%
463089.784688928 2
1.8%
463007.069431423 1
0.9%
462969.455048417 1
0.9%

비상시설위치
Text

MISSING 

Distinct73
Distinct (%)89.0%
Missing32
Missing (%)28.1%
Memory size1.0 KiB
2024-05-11T14:39:25.819578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length30
Mean length23.146341
Min length10

Characters and Unicode

Total characters1898
Distinct characters64
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)81.7%

Sample

1st row서울특별시 노원구 공릉동 산26번지
2nd row서울특별시 노원구 공릉동 산 230번지 30호
3rd row서울특별시 노원구 공릉동 230번지 30호
4th row서울특별시 노원구 공릉동 산 230번지 30호
5th row서울특별시 노원구 공릉동 155번지
ValueCountFrequency (%)
노원구 81
19.4%
서울특별시 80
19.2%
상계동 28
 
6.7%
공릉동 19
 
4.6%
호 14
 
3.4%
월계동 13
 
3.1%
중계동 13
 
3.1%
2호 10
 
2.4%
산 9
 
2.2%
30호 7
 
1.7%
Other values (103) 143
34.3%
2024-05-11T14:39:26.552763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
400
21.1%
서 84
 
4.4%
원 84
 
4.4%
울 84
 
4.4%
노 82
 
4.3%
동 82
 
4.3%
시 81
 
4.3%
구 81
 
4.3%
특 80
 
4.2%
별 80
 
4.2%
Other values (54) 760
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1173
61.8%
Space Separator 400
 
21.1%
Decimal Number 321
 
16.9%
Dash Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 84
 
7.2%
원 84
 
7.2%
울 84
 
7.2%
노 82
 
7.0%
동 82
 
7.0%
시 81
 
6.9%
구 81
 
6.9%
특 80
 
6.8%
별 80
 
6.8%
지 77
 
6.6%
Other values (42) 358
30.5%
Decimal Number
ValueCountFrequency (%)
1 61
19.0%
2 52
16.2%
3 45
14.0%
0 32
10.0%
5 28
8.7%
6 26
8.1%
4 22
 
6.9%
8 20
 
6.2%
7 20
 
6.2%
9 15
 
4.7%
Space Separator
ValueCountFrequency (%)
400
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1173
61.8%
Common 725
38.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 84
 
7.2%
원 84
 
7.2%
울 84
 
7.2%
노 82
 
7.0%
동 82
 
7.0%
시 81
 
6.9%
구 81
 
6.9%
특 80
 
6.8%
별 80
 
6.8%
지 77
 
6.6%
Other values (42) 358
30.5%
Common
ValueCountFrequency (%)
400
55.2%
1 61
 
8.4%
2 52
 
7.2%
3 45
 
6.2%
0 32
 
4.4%
5 28
 
3.9%
6 26
 
3.6%
4 22
 
3.0%
8 20
 
2.8%
7 20
 
2.8%
Other values (2) 19
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1173
61.8%
ASCII 725
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
400
55.2%
1 61
 
8.4%
2 52
 
7.2%
3 45
 
6.2%
0 32
 
4.4%
5 28
 
3.9%
6 26
 
3.6%
4 22
 
3.0%
8 20
 
2.8%
7 20
 
2.8%
Other values (2) 19
 
2.6%
Hangul
ValueCountFrequency (%)
서 84
 
7.2%
원 84
 
7.2%
울 84
 
7.2%
노 82
 
7.0%
동 82
 
7.0%
시 81
 
6.9%
구 81
 
6.9%
특 80
 
6.8%
별 80
 
6.8%
지 77
 
6.6%
Other values (42) 358
30.5%

시설구분명
Categorical

Distinct5
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
민간시설
60 
<NA>
32 
공공시설
13 
자치단체자체시설
8 
정부지원시설
 
1

Length

Max length8
Median length4
Mean length4.2982456
Min length4

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
민간시설 60
52.6%
<NA> 32
28.1%
공공시설 13
 
11.4%
자치단체자체시설 8
 
7.0%
정부지원시설 1
 
0.9%

Length

2024-05-11T14:39:26.800196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:26.989517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간시설 60
52.6%
na 32
28.1%
공공시설 13
 
11.4%
자치단체자체시설 8
 
7.0%
정부지원시설 1
 
0.9%

시설명_건물명
Text

MISSING 

Distinct78
Distinct (%)95.1%
Missing32
Missing (%)28.1%
Memory size1.0 KiB
2024-05-11T14:39:27.305633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18.5
Mean length6.8902439
Min length3

Characters and Unicode

Total characters565
Distinct characters162
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)90.2%

Sample

1st row이스턴캐슬(구태릉푸른동산)
2nd row군인복지기금태릉체력단련장(연습장2)
3rd row군인복지기금태릉체력단련장(11홀)
4th row군인복지기금태릉체력단련장(18홀)
5th row한전연수원3
ValueCountFrequency (%)
진흥대중탕 2
 
2.3%
준목욕탕 2
 
2.3%
대영탕 2
 
2.3%
원터근린공원 2
 
2.3%
한국전력공사 2
 
2.3%
한솔제지 1
 
1.2%
신창중학 1
 
1.2%
중앙하이츠 1
 
1.2%
평화사우나 1
 
1.2%
그랑빌보석불가마 1
 
1.2%
Other values (71) 71
82.6%
2024-05-11T14:39:27.926277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 15
 
2.7%
탕 14
 
2.5%
장 14
 
2.5%
공 12
 
2.1%
중 11
 
1.9%
대 10
 
1.8%
사 10
 
1.8%
) 10
 
1.8%
( 10
 
1.8%
목 10
 
1.8%
Other values (152) 449
79.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 525
92.9%
Decimal Number 16
 
2.8%
Close Punctuation 10
 
1.8%
Open Punctuation 10
 
1.8%
Space Separator 4
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 15
 
2.9%
탕 14
 
2.7%
장 14
 
2.7%
공 12
 
2.3%
중 11
 
2.1%
대 10
 
1.9%
사 10
 
1.9%
목 10
 
1.9%
욕 9
 
1.7%
태 9
 
1.7%
Other values (143) 411
78.3%
Decimal Number
ValueCountFrequency (%)
2 6
37.5%
1 6
37.5%
8 1
 
6.2%
3 1
 
6.2%
6 1
 
6.2%
5 1
 
6.2%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 525
92.9%
Common 40
 
7.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 15
 
2.9%
탕 14
 
2.7%
장 14
 
2.7%
공 12
 
2.3%
중 11
 
2.1%
대 10
 
1.9%
사 10
 
1.9%
목 10
 
1.9%
욕 9
 
1.7%
태 9
 
1.7%
Other values (143) 411
78.3%
Common
ValueCountFrequency (%)
) 10
25.0%
( 10
25.0%
2 6
15.0%
1 6
15.0%
4
 
10.0%
8 1
 
2.5%
3 1
 
2.5%
6 1
 
2.5%
5 1
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 525
92.9%
ASCII 40
 
7.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 15
 
2.9%
탕 14
 
2.7%
장 14
 
2.7%
공 12
 
2.3%
중 11
 
2.1%
대 10
 
1.9%
사 10
 
1.9%
목 10
 
1.9%
욕 9
 
1.7%
태 9
 
1.7%
Other values (143) 411
78.3%
ASCII
ValueCountFrequency (%)
) 10
25.0%
( 10
25.0%
2 6
15.0%
1 6
15.0%
4
 
10.0%
8 1
 
2.5%
3 1
 
2.5%
6 1
 
2.5%
5 1
 
2.5%

해제일자
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)84.2%
Missing57
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean20128497
Minimum20040825
Maximum20210602
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T14:39:28.177994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040825
5-th percentile20060857
Q120070903
median20130724
Q320171123
95-th percentile20201223
Maximum20210602
Range169777
Interquartile range (IQR)100220

Descriptive statistics

Standard deviation53170.113
Coefficient of variation (CV)0.0026415341
Kurtosis-1.3673225
Mean20128497
Median Absolute Deviation (MAD)50007
Skewness-0.062382889
Sum1.1473244 × 109
Variance2.8270609 × 109
MonotonicityNot monotonic
2024-05-11T14:39:28.390941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
20180731 3
 
2.6%
20120701 3
 
2.6%
20061208 2
 
1.8%
20061129 2
 
1.8%
20100128 2
 
1.8%
20140627 2
 
1.8%
20200116 2
 
1.8%
20100127 1
 
0.9%
20080430 1
 
0.9%
20160622 1
 
0.9%
Other values (38) 38
33.3%
(Missing) 57
50.0%
ValueCountFrequency (%)
20040825 1
0.9%
20040922 1
0.9%
20060608 1
0.9%
20060919 1
0.9%
20061011 1
0.9%
20061115 1
0.9%
20061116 1
0.9%
20061122 1
0.9%
20061124 1
0.9%
20061129 2
1.8%
ValueCountFrequency (%)
20210602 1
 
0.9%
20210208 1
 
0.9%
20201229 1
 
0.9%
20201221 1
 
0.9%
20200922 1
 
0.9%
20200901 1
 
0.9%
20200408 1
 
0.9%
20200116 2
1.8%
20180801 1
 
0.9%
20180731 3
2.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
031000003100000-E19710000119710901201207014취소/말소/만료/정지/중지19사용중지20120701<NA><NA><NA><NA>140.0<NA>서울특별시 노원구 공릉동 산26번지<NA><NA>이스턴캐슬(구태릉푸른동산)2012-07-11 14:48:37I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 노원구 공릉동 산26번지민간시설이스턴캐슬(구태릉푸른동산)20120701
131000003100000-E19820000219820501<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>200.0<NA>서울특별시 노원구 공릉동 산 230번지 30호서울특별시 노원구 화랑로 574 (공릉동)139241군인복지기금태릉체력단련장(연습장2)2018-07-31 16:53:17I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 노원구 공릉동 산 230번지 30호민간시설군인복지기금태릉체력단련장(연습장2)<NA>
231000003100000-E19820000319820601<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>184.0<NA>서울특별시 노원구 공릉동 230번지 30호서울특별시 노원구 화랑로 574-0 (공릉동)<NA>군인복지기금태릉체력단련장(11홀)2018-07-31 16:56:47I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 노원구 공릉동 230번지 30호민간시설군인복지기금태릉체력단련장(11홀)<NA>
331000003100000-E19820000419820630<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>148.0<NA>서울특별시 노원구 공릉동 산 230번지 30호서울특별시 노원구 화랑로 574 (공릉동)<NA>군인복지기금태릉체력단련장(18홀)2018-07-31 16:58:43I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 노원구 공릉동 산 230번지 30호민간시설군인복지기금태릉체력단련장(18홀)<NA>
431000003100000-E19850000219850915201112304취소/말소/만료/정지/중지19사용중지20111230<NA><NA><NA><NA>300.0<NA>서울특별시 노원구 공릉동 155번지<NA><NA>한전연수원32012-07-11 14:54:30I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 노원구 공릉동 155번지민간시설한전연수원320111230
531000003100000-E19860000119860306201711234취소/말소/만료/정지/중지19사용중지20171123<NA><NA><NA><NA>90.0<NA>서울특별시 노원구 상계동 138번지 193호서울특별시 노원구 수락산로 24 (상계동)<NA>상계목욕탕2018-07-31 18:05:37I2018-08-31 23:59:59.0<NA>206435.042996462521.704911서울특별시 노원구 상계동 138번지 193호민간시설상계목욕탕20171123
631000003100000-E19860000219860307201001274취소/말소/만료/정지/중지19사용중지20100127<NA><NA><NA><NA>90.0<NA>상계동138-193<NA><NA>상계목욕탕22010-01-27 10:38:25I2018-08-31 23:59:59.0<NA><NA><NA>상계동138-193민간시설상계목욕탕220100127
731000003100000-E19860000319860101201807314취소/말소/만료/정지/중지19사용중지20180731<NA><NA><NA><NA>41.0<NA>서울특별시 노원구 중계동 118번지서울특별시 노원구 중계로16나길 13 (중계동)<NA>영신여자고등학교2018-07-31 18:08:11I2018-08-31 23:59:59.0<NA>207255.005556461094.395928서울특별시 노원구 중계동 118번지민간시설영신여자고등학교20180731
831000003100000-E19860000419860901201802204취소/말소/만료/정지/중지19사용중지20180220<NA><NA><NA><NA>83.0<NA>서울특별시 노원구 상계동 95번지 1호서울특별시 노원구 덕릉로112길 6 (상계동)<NA>대영목욕탕2018-07-31 18:07:43I2018-08-31 23:59:59.0<NA>206834.623125462600.737556서울특별시 노원구 상계동 95번지 1호민간시설대영목욕탕20180220
931000003100000-E19870000119871031<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>82.0<NA>서울특별시 노원구 상계동 602번지 3호서울특별시 노원구 상계로 65 (상계동)<NA>현성빌딩2016-12-28 14:40:41I2018-08-31 23:59:59.0<NA>205420.745735461559.290918서울특별시 노원구 상계동 602번지 3호민간시설현성빌딩<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
10431000003100000-E20180000620181120<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>98.59<NA>서울특별시 노원구 상계동 산 24번지 1호<NA><NA>벽운동천12019-01-29 14:41:16I2019-01-31 02:21:05.0<NA>205484.497372464766.089614서울특별시 노원구 상계동 산 24번지 1호자치단체자체시설벽운동천1<NA>
10531000003100000-E20180000720181120<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>98.59<NA>서울특별시 노원구 상계동 산 24번지 1호<NA><NA>벽운동천22019-01-29 14:43:36I2019-01-31 02:21:05.0<NA>205484.497372464766.089614서울특별시 노원구 상계동 산 24번지 1호자치단체자체시설벽운동천2<NA>
10631000003100000-E20180000820181120<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>98.59<NA>서울특별시 노원구 공릉동 29번지 29호서울특별시 노원구 화랑로 620 (공릉동, 목예원)01802목예원2019-01-29 14:48:23I2019-01-31 02:21:05.0<NA>208266.996698458122.206428서울특별시 노원구 공릉동 29번지 29호자치단체자체시설목예원<NA>
10731000003100000-E20180000920181120<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>90.0<NA>서울특별시 노원구 하계동 산 16번지 71호<NA><NA>불암산더불어숲2019-01-29 15:12:08I2019-01-31 02:21:05.0<NA>207156.013794459742.724458서울특별시 노원구 하계동 산 16번지 71호자치단체자체시설불암산더불어숲<NA>
10831000003100000-E20180001020181120<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>78.87<NA>서울특별시 노원구 중계동 산 40번지 4호서울특별시 노원구 한글비석로12길 37 (중계동)<NA>불암산유아숲체험장2019-01-29 15:22:26I2019-01-31 02:21:05.0<NA>207012.965953461527.405578서울특별시 노원구 중계동 산 40번지 4호자치단체자체시설불암산유아숲체험장<NA>
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