Overview

Dataset statistics

Number of variables29
Number of observations65
Missing cells640
Missing cells (%)34.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.7 KiB
Average record size in memory247.0 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
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-20010/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 29 (44.6%) missing valuesMissing
폐업일자 has 29 (44.6%) missing valuesMissing
휴업시작일자 has 65 (100.0%) missing valuesMissing
휴업종료일자 has 65 (100.0%) missing valuesMissing
재개업일자 has 65 (100.0%) missing valuesMissing
전화번호 has 65 (100.0%) missing valuesMissing
소재지우편번호 has 65 (100.0%) missing valuesMissing
지번주소 has 1 (1.5%) missing valuesMissing
도로명주소 has 17 (26.2%) missing valuesMissing
도로명우편번호 has 19 (29.2%) missing valuesMissing
업태구분명 has 65 (100.0%) missing valuesMissing
좌표정보(X) has 20 (30.8%) missing valuesMissing
좌표정보(Y) has 20 (30.8%) missing valuesMissing
비상시설위치 has 39 (60.0%) missing valuesMissing
시설명_건물명 has 38 (58.5%) missing valuesMissing
해제일자 has 38 (58.5%) 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 started2024-04-29 20:04:46.890398
Analysis finished2024-04-29 20:04:47.614461
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
3080000
65 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3080000
2nd row3080000
3rd row3080000
4th row3080000
5th row3080000

Common Values

ValueCountFrequency (%)
3080000 65
100.0%

Length

2024-04-30T05:04:47.676315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:04:47.746260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3080000 65
100.0%

관리번호
Text

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2024-04-30T05:04:47.882001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters1170
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

Unique65 ?
Unique (%)100.0%

Sample

1st row3080000-E197700001
2nd row3080000-E197900001
3rd row3080000-E197900003
4th row3080000-E198100002
5th row3080000-E198100004
ValueCountFrequency (%)
3080000-e197700001 1
 
1.5%
3080000-e200000001 1
 
1.5%
3080000-e200100002 1
 
1.5%
3080000-e200100004 1
 
1.5%
3080000-e200100006 1
 
1.5%
3080000-e200300003 1
 
1.5%
3080000-e200300004 1
 
1.5%
3080000-e200400001 1
 
1.5%
3080000-e200400002 1
 
1.5%
3080000-e200400003 1
 
1.5%
Other values (55) 55
84.6%
2024-04-30T05:04:48.171100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 638
54.5%
3 81
 
6.9%
8 80
 
6.8%
1 67
 
5.7%
9 66
 
5.6%
- 65
 
5.6%
E 65
 
5.6%
2 63
 
5.4%
4 18
 
1.5%
5 10
 
0.9%
Other values (2) 17
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1040
88.9%
Dash Punctuation 65
 
5.6%
Uppercase Letter 65
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 638
61.3%
3 81
 
7.8%
8 80
 
7.7%
1 67
 
6.4%
9 66
 
6.3%
2 63
 
6.1%
4 18
 
1.7%
5 10
 
1.0%
7 9
 
0.9%
6 8
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 65
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 65
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1105
94.4%
Latin 65
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 638
57.7%
3 81
 
7.3%
8 80
 
7.2%
1 67
 
6.1%
9 66
 
6.0%
- 65
 
5.9%
2 63
 
5.7%
4 18
 
1.6%
5 10
 
0.9%
7 9
 
0.8%
Latin
ValueCountFrequency (%)
E 65
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1170
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 638
54.5%
3 81
 
6.9%
8 80
 
6.8%
1 67
 
5.7%
9 66
 
5.6%
- 65
 
5.6%
E 65
 
5.6%
2 63
 
5.4%
4 18
 
1.5%
5 10
 
0.9%
Other values (2) 17
 
1.5%

인허가일자
Date

Distinct42
Distinct (%)64.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum1979-12-24 00:00:00
Maximum2024-01-05 00:00:00
2024-04-30T05:04:48.300459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:04:48.408392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

인허가취소일자
Date

MISSING 

Distinct28
Distinct (%)77.8%
Missing29
Missing (%)44.6%
Memory size652.0 B
Minimum2003-12-08 00:00:00
Maximum2023-12-22 00:00:00
2024-04-30T05:04:48.501394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:04:48.587178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

영업상태코드
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
4
36 
1
29 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
4 36
55.4%
1 29
44.6%

Length

2024-04-30T05:04:48.700893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:04:48.777199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 36
55.4%
1 29
44.6%

영업상태명
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
취소/말소/만료/정지/중지
36 
영업/정상
29 

Length

Max length14
Median length14
Mean length9.9846154
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
취소/말소/만료/정지/중지 36
55.4%
영업/정상 29
44.6%

Length

2024-04-30T05:04:48.860881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:04:48.940868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취소/말소/만료/정지/중지 36
55.4%
영업/정상 29
44.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
19
36 
18
29 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
19 36
55.4%
18 29
44.6%

Length

2024-04-30T05:04:49.046675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:04:49.121023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19 36
55.4%
18 29
44.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
사용중지
36 
사용중
29 

Length

Max length4
Median length4
Mean length3.5538462
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용중지 36
55.4%
사용중 29
44.6%

Length

2024-04-30T05:04:49.209022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:04:49.294427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중지 36
55.4%
사용중 29
44.6%

폐업일자
Date

MISSING 

Distinct28
Distinct (%)77.8%
Missing29
Missing (%)44.6%
Memory size652.0 B
Minimum2003-12-08 00:00:00
Maximum2023-12-22 00:00:00
2024-04-30T05:04:49.387181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:04:49.488585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

소재지면적
Real number (ℝ)

Distinct28
Distinct (%)43.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.16923
Minimum20
Maximum656
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-04-30T05:04:49.600379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile50
Q173
median89
Q3140
95-th percentile340
Maximum656
Range636
Interquartile range (IQR)67

Descriptive statistics

Standard deviation104.00039
Coefficient of variation (CV)0.85830689
Kurtosis10.967592
Mean121.16923
Median Absolute Deviation (MAD)16
Skewness2.9714457
Sum7876
Variance10816.08
MonotonicityNot monotonic
2024-04-30T05:04:49.711704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
80 13
20.0%
90 9
13.8%
150 5
 
7.7%
50 5
 
7.7%
73 3
 
4.6%
51 2
 
3.1%
70 2
 
3.1%
95 2
 
3.1%
200 2
 
3.1%
140 2
 
3.1%
Other values (18) 20
30.8%
ValueCountFrequency (%)
20 1
 
1.5%
41 1
 
1.5%
50 5
7.7%
51 2
 
3.1%
55 1
 
1.5%
57 1
 
1.5%
60 1
 
1.5%
69 1
 
1.5%
70 2
 
3.1%
73 3
4.6%
ValueCountFrequency (%)
656 1
 
1.5%
381 1
 
1.5%
377 1
 
1.5%
350 1
 
1.5%
300 1
 
1.5%
293 1
 
1.5%
250 1
 
1.5%
220 1
 
1.5%
200 2
 
3.1%
150 5
7.7%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

지번주소
Text

MISSING 

Distinct61
Distinct (%)95.3%
Missing1
Missing (%)1.5%
Memory size652.0 B
2024-04-30T05:04:49.926817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length23.21875
Min length17

Characters and Unicode

Total characters1486
Distinct characters59
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

Unique58 ?
Unique (%)90.6%

Sample

1st row서울특별시 강북구 수유동 451번지 178호
2nd row서울특별시 강북구 미아동 162번지 1호
3rd row서울특별시 강북구 수유동 172번지 210호
4th row서울특별시 강북구 미아동 329번지 11호
5th row서울특별시 강북구 수유동 170-22
ValueCountFrequency (%)
서울특별시 64
19.8%
강북구 64
19.8%
수유동 30
 
9.3%
번동 14
 
4.3%
미아동 14
 
4.3%
호 11
 
3.4%
산 4
 
1.2%
5호 4
 
1.2%
3호 4
 
1.2%
우이동 4
 
1.2%
Other values (89) 111
34.3%
2024-04-30T05:04:50.343495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
296
19.9%
번 71
 
4.8%
동 67
 
4.5%
구 66
 
4.4%
시 65
 
4.4%
북 64
 
4.3%
울 64
 
4.3%
서 64
 
4.3%
강 64
 
4.3%
별 64
 
4.3%
Other values (49) 601
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 906
61.0%
Space Separator 296
 
19.9%
Decimal Number 276
 
18.6%
Dash Punctuation 8
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
번 71
 
7.8%
동 67
 
7.4%
구 66
 
7.3%
시 65
 
7.2%
북 64
 
7.1%
울 64
 
7.1%
서 64
 
7.1%
강 64
 
7.1%
별 64
 
7.1%
특 64
 
7.1%
Other values (37) 253
27.9%
Decimal Number
ValueCountFrequency (%)
1 48
17.4%
2 41
14.9%
3 38
13.8%
4 33
12.0%
6 28
10.1%
5 27
9.8%
9 18
 
6.5%
0 16
 
5.8%
7 15
 
5.4%
8 12
 
4.3%
Space Separator
ValueCountFrequency (%)
296
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 906
61.0%
Common 580
39.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
번 71
 
7.8%
동 67
 
7.4%
구 66
 
7.3%
시 65
 
7.2%
북 64
 
7.1%
울 64
 
7.1%
서 64
 
7.1%
강 64
 
7.1%
별 64
 
7.1%
특 64
 
7.1%
Other values (37) 253
27.9%
Common
ValueCountFrequency (%)
296
51.0%
1 48
 
8.3%
2 41
 
7.1%
3 38
 
6.6%
4 33
 
5.7%
6 28
 
4.8%
5 27
 
4.7%
9 18
 
3.1%
0 16
 
2.8%
7 15
 
2.6%
Other values (2) 20
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 906
61.0%
ASCII 580
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
296
51.0%
1 48
 
8.3%
2 41
 
7.1%
3 38
 
6.6%
4 33
 
5.7%
6 28
 
4.8%
5 27
 
4.7%
9 18
 
3.1%
0 16
 
2.8%
7 15
 
2.6%
Other values (2) 20
 
3.4%
Hangul
ValueCountFrequency (%)
번 71
 
7.8%
동 67
 
7.4%
구 66
 
7.3%
시 65
 
7.2%
북 64
 
7.1%
울 64
 
7.1%
서 64
 
7.1%
강 64
 
7.1%
별 64
 
7.1%
특 64
 
7.1%
Other values (37) 253
27.9%

도로명주소
Text

MISSING 

Distinct43
Distinct (%)89.6%
Missing17
Missing (%)26.2%
Memory size652.0 B
2024-04-30T05:04:50.597391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length33
Mean length29.229167
Min length22

Characters and Unicode

Total characters1403
Distinct characters116
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

Unique39 ?
Unique (%)81.2%

Sample

1st row서울특별시 강북구 삼양로87길 3 (수유동, 구립제일경로당)
2nd row서울특별시 강북구 덕릉로30길 30 (미아동)
3rd row서울특별시 강북구 도봉로95길 40 (수유동)
4th row서울특별시 강북구 솔샘로65길 19 (미아동)
5th row서울특별시 강북구 한천로150길 52 (수유동)
ValueCountFrequency (%)
서울특별시 48
17.8%
강북구 48
17.8%
수유동 20
 
7.4%
번동 14
 
5.2%
미아동 10
 
3.7%
도봉로 8
 
3.0%
오현로 3
 
1.1%
207 3
 
1.1%
번동주공아파트 3
 
1.1%
우이동 3
 
1.1%
Other values (91) 109
40.5%
2024-04-30T05:04:50.958127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
225
 
16.0%
동 53
 
3.8%
시 52
 
3.7%
북 51
 
3.6%
구 51
 
3.6%
강 50
 
3.6%
) 49
 
3.5%
( 49
 
3.5%
서 48
 
3.4%
로 48
 
3.4%
Other values (106) 727
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 851
60.7%
Space Separator 225
 
16.0%
Decimal Number 191
 
13.6%
Close Punctuation 50
 
3.6%
Open Punctuation 50
 
3.6%
Other Punctuation 33
 
2.4%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 53
 
6.2%
시 52
 
6.1%
북 51
 
6.0%
구 51
 
6.0%
강 50
 
5.9%
서 48
 
5.6%
로 48
 
5.6%
울 48
 
5.6%
별 48
 
5.6%
특 48
 
5.6%
Other values (87) 354
41.6%
Decimal Number
ValueCountFrequency (%)
1 39
20.4%
2 30
15.7%
3 22
11.5%
0 20
10.5%
9 19
9.9%
8 17
8.9%
5 15
 
7.9%
7 11
 
5.8%
6 9
 
4.7%
4 9
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 28
84.8%
. 4
 
12.1%
* 1
 
3.0%
Close Punctuation
ValueCountFrequency (%)
) 49
98.0%
] 1
 
2.0%
Open Punctuation
ValueCountFrequency (%)
( 49
98.0%
[ 1
 
2.0%
Space Separator
ValueCountFrequency (%)
225
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 851
60.7%
Common 552
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 53
 
6.2%
시 52
 
6.1%
북 51
 
6.0%
구 51
 
6.0%
강 50
 
5.9%
서 48
 
5.6%
로 48
 
5.6%
울 48
 
5.6%
별 48
 
5.6%
특 48
 
5.6%
Other values (87) 354
41.6%
Common
ValueCountFrequency (%)
225
40.8%
) 49
 
8.9%
( 49
 
8.9%
1 39
 
7.1%
2 30
 
5.4%
, 28
 
5.1%
3 22
 
4.0%
0 20
 
3.6%
9 19
 
3.4%
8 17
 
3.1%
Other values (9) 54
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 851
60.7%
ASCII 552
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
225
40.8%
) 49
 
8.9%
( 49
 
8.9%
1 39
 
7.1%
2 30
 
5.4%
, 28
 
5.1%
3 22
 
4.0%
0 20
 
3.6%
9 19
 
3.4%
8 17
 
3.1%
Other values (9) 54
 
9.8%
Hangul
ValueCountFrequency (%)
동 53
 
6.2%
시 52
 
6.1%
북 51
 
6.0%
구 51
 
6.0%
강 50
 
5.9%
서 48
 
5.6%
로 48
 
5.6%
울 48
 
5.6%
별 48
 
5.6%
특 48
 
5.6%
Other values (87) 354
41.6%

도로명우편번호
Text

MISSING 

Distinct38
Distinct (%)82.6%
Missing19
Missing (%)29.2%
Memory size652.0 B
2024-04-30T05:04:51.125932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1304348
Min length5

Characters and Unicode

Total characters236
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

Unique32 ?
Unique (%)69.6%

Sample

1st row01094
2nd row01129
3rd row01054
4th row01179
5th row01052
ValueCountFrequency (%)
01145 3
 
6.5%
01018 3
 
6.5%
01002 2
 
4.3%
01164 2
 
4.3%
01179 2
 
4.3%
01044 2
 
4.3%
01051 1
 
2.2%
01048 1
 
2.2%
01012 1
 
2.2%
01025 1
 
2.2%
Other values (28) 28
60.9%
2024-04-30T05:04:51.417263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 73
30.9%
1 73
30.9%
4 19
 
8.1%
2 18
 
7.6%
7 12
 
5.1%
5 11
 
4.7%
6 10
 
4.2%
8 7
 
3.0%
3 7
 
3.0%
9 4
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 234
99.2%
Dash Punctuation 2
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 73
31.2%
1 73
31.2%
4 19
 
8.1%
2 18
 
7.7%
7 12
 
5.1%
5 11
 
4.7%
6 10
 
4.3%
8 7
 
3.0%
3 7
 
3.0%
9 4
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 236
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 73
30.9%
1 73
30.9%
4 19
 
8.1%
2 18
 
7.6%
7 12
 
5.1%
5 11
 
4.7%
6 10
 
4.2%
8 7
 
3.0%
3 7
 
3.0%
9 4
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 236
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 73
30.9%
1 73
30.9%
4 19
 
8.1%
2 18
 
7.6%
7 12
 
5.1%
5 11
 
4.7%
6 10
 
4.2%
8 7
 
3.0%
3 7
 
3.0%
9 4
 
1.7%

사업장명
Text

Distinct64
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
2024-04-30T05:04:51.619582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length15
Mean length10.938462
Min length3

Characters and Unicode

Total characters711
Distinct characters166
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

Unique63 ?
Unique (%)96.9%

Sample

1st row제일경로당- 인수동
2nd row세일어린이공원- 미아동
3rd row은모루 공원 - 수유3동
4th row솔샘어린이 공원- 송천동
5th row대호태권도-수유3동
ValueCountFrequency (%)
26
 
17.3%
우이동 7
 
4.7%
번1동 5
 
3.3%
인수동 4
 
2.7%
수유1동 4
 
2.7%
번2동 3
 
2.0%
공원 3
 
2.0%
수유3동 3
 
2.0%
송천동 3
 
2.0%
송중동 3
 
2.0%
Other values (83) 89
59.3%
2024-04-30T05:04:51.930957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
85
 
12.0%
동 53
 
7.5%
- 48
 
6.8%
수 31
 
4.4%
유 23
 
3.2%
이 19
 
2.7%
원 16
 
2.3%
1 15
 
2.1%
우 14
 
2.0%
번 13
 
1.8%
Other values (156) 394
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 530
74.5%
Space Separator 85
 
12.0%
Dash Punctuation 48
 
6.8%
Decimal Number 33
 
4.6%
Close Punctuation 7
 
1.0%
Open Punctuation 7
 
1.0%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 53
 
10.0%
수 31
 
5.8%
유 23
 
4.3%
이 19
 
3.6%
원 16
 
3.0%
우 14
 
2.6%
번 13
 
2.5%
린 10
 
1.9%
공 10
 
1.9%
송 10
 
1.9%
Other values (146) 331
62.5%
Decimal Number
ValueCountFrequency (%)
1 15
45.5%
2 8
24.2%
3 7
21.2%
4 2
 
6.1%
9 1
 
3.0%
Space Separator
ValueCountFrequency (%)
85
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 530
74.5%
Common 181
 
25.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 53
 
10.0%
수 31
 
5.8%
유 23
 
4.3%
이 19
 
3.6%
원 16
 
3.0%
우 14
 
2.6%
번 13
 
2.5%
린 10
 
1.9%
공 10
 
1.9%
송 10
 
1.9%
Other values (146) 331
62.5%
Common
ValueCountFrequency (%)
85
47.0%
- 48
26.5%
1 15
 
8.3%
2 8
 
4.4%
3 7
 
3.9%
) 7
 
3.9%
( 7
 
3.9%
4 2
 
1.1%
9 1
 
0.6%
. 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 530
74.5%
ASCII 181
 
25.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
85
47.0%
- 48
26.5%
1 15
 
8.3%
2 8
 
4.4%
3 7
 
3.9%
) 7
 
3.9%
( 7
 
3.9%
4 2
 
1.1%
9 1
 
0.6%
. 1
 
0.6%
Hangul
ValueCountFrequency (%)
동 53
 
10.0%
수 31
 
5.8%
유 23
 
4.3%
이 19
 
3.6%
원 16
 
3.0%
우 14
 
2.6%
번 13
 
2.5%
린 10
 
1.9%
공 10
 
1.9%
송 10
 
1.9%
Other values (146) 331
62.5%

최종수정일자
Date

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum2006-05-22 00:00:00
Maximum2024-02-15 18:50:25
2024-04-30T05:04:52.065072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:04:52.170211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
U
41 
I
23 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
U 41
63.1%
I 23
35.4%
D 1
 
1.5%

Length

2024-04-30T05:04:52.279205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:04:52.361487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 41
63.1%
i 23
35.4%
d 1
 
1.5%

데이터갱신일자
Date

Distinct18
Distinct (%)27.7%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 00:02:00
2024-04-30T05:04:52.438888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:04:52.542812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)88.9%
Missing20
Missing (%)30.8%
Infinite0
Infinite (%)0.0%
Mean201854.57
Minimum198958.9
Maximum203757.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-04-30T05:04:52.658121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198958.9
5-th percentile200064.9
Q1201245.37
median202095.64
Q3202401.44
95-th percentile203395.51
Maximum203757.29
Range4798.3855
Interquartile range (IQR)1156.0659

Descriptive statistics

Standard deviation1042.7192
Coefficient of variation (CV)0.0051656951
Kurtosis0.28832016
Mean201854.57
Median Absolute Deviation (MAD)626.83416
Skewness-0.67479132
Sum9083455.7
Variance1087263.3
MonotonicityNot monotonic
2024-04-30T05:04:52.958682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
203395.513845154 3
 
4.6%
200234.13213979 2
 
3.1%
201468.81016291 2
 
3.1%
201245.370375792 2
 
3.1%
202095.644323533 1
 
1.5%
202056.042322611 1
 
1.5%
202536.541879297 1
 
1.5%
202608.934103734 1
 
1.5%
202307.763639491 1
 
1.5%
202147.684872759 1
 
1.5%
Other values (30) 30
46.2%
(Missing) 20
30.8%
ValueCountFrequency (%)
198958.899761771 1
1.5%
199973.0134989 1
1.5%
200054.45061575 1
1.5%
200106.683985257 1
1.5%
200234.13213979 2
3.1%
200374.829143377 1
1.5%
200932.690178152 1
1.5%
201046.377443927 1
1.5%
201111.032928779 1
1.5%
201245.370375792 2
3.1%
ValueCountFrequency (%)
203757.285284697 1
 
1.5%
203395.513845154 3
4.6%
203013.040176003 1
 
1.5%
202992.707900664 1
 
1.5%
202820.325394856 1
 
1.5%
202608.934103734 1
 
1.5%
202594.088531017 1
 
1.5%
202566.538207 1
 
1.5%
202536.541879297 1
 
1.5%
202401.4362978 1
 
1.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)88.9%
Missing20
Missing (%)30.8%
Infinite0
Infinite (%)0.0%
Mean459327.82
Minimum456758.81
Maximum463430.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-04-30T05:04:53.060231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum456758.81
5-th percentile457299.68
Q1458714.37
median459273.79
Q3459980.59
95-th percentile461313.83
Maximum463430.31
Range6671.4997
Interquartile range (IQR)1266.2268

Descriptive statistics

Standard deviation1254.5411
Coefficient of variation (CV)0.0027312544
Kurtosis1.6548017
Mean459327.82
Median Absolute Deviation (MAD)650.18816
Skewness0.51832549
Sum20669752
Variance1573873.4
MonotonicityNot monotonic
2024-04-30T05:04:53.163218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
458722.598632998 3
 
4.6%
459923.973286241 2
 
3.1%
458692.772931457 2
 
3.1%
460742.139376335 2
 
3.1%
459273.785128397 1
 
1.5%
459250.090445316 1
 
1.5%
456758.813670659 1
 
1.5%
459320.030764534 1
 
1.5%
459561.870059291 1
 
1.5%
460410.496374073 1
 
1.5%
Other values (30) 30
46.2%
(Missing) 20
30.8%
ValueCountFrequency (%)
456758.813670659 1
1.5%
457230.594015691 1
1.5%
457296.446151636 1
1.5%
457312.619290566 1
1.5%
457542.538894206 1
1.5%
457806.819119783 1
1.5%
457811.811082 1
1.5%
458242.559935262 1
1.5%
458490.883652834 1
1.5%
458692.772931457 2
3.1%
ValueCountFrequency (%)
463430.31332494 1
1.5%
461569.688228077 1
1.5%
461456.748314697 1
1.5%
460742.139376335 2
3.1%
460570.957809466 1
1.5%
460410.496374073 1
1.5%
460228.864261967 1
1.5%
460149.135420908 1
1.5%
460094.910563951 1
1.5%
460048.986252103 1
1.5%

비상시설위치
Text

MISSING 

Distinct26
Distinct (%)100.0%
Missing39
Missing (%)60.0%
Memory size652.0 B
2024-04-30T05:04:53.341096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length24.038462
Min length18

Characters and Unicode

Total characters625
Distinct characters36
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

Unique26 ?
Unique (%)100.0%

Sample

1st row서울특별시 강북구 수유동 48번지 22 호
2nd row서울특별시 강북구 수유동 48번지 22호
3rd row서울특별시 강북구 번동 410번지 94호
4th row서울특별시 강북구 미아동 135번지 13 호
5th row서울특별시 강북구 미아동 317번지 3호
ValueCountFrequency (%)
서울특별시 26
18.7%
강북구 26
18.7%
호 11
 
7.9%
수유동 11
 
7.9%
번동 6
 
4.3%
미아동 6
 
4.3%
234번지 2
 
1.4%
14호 2
 
1.4%
229번지 2
 
1.4%
13 2
 
1.4%
Other values (40) 45
32.4%
2024-04-30T05:04:53.656715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
149
23.8%
번 35
 
5.6%
동 27
 
4.3%
서 26
 
4.2%
특 26
 
4.2%
별 26
 
4.2%
시 26
 
4.2%
강 26
 
4.2%
북 26
 
4.2%
구 26
 
4.2%
Other values (26) 232
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 369
59.0%
Space Separator 149
23.8%
Decimal Number 107
 
17.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
번 35
 
9.5%
동 27
 
7.3%
서 26
 
7.0%
특 26
 
7.0%
별 26
 
7.0%
시 26
 
7.0%
강 26
 
7.0%
북 26
 
7.0%
구 26
 
7.0%
울 26
 
7.0%
Other values (15) 99
26.8%
Decimal Number
ValueCountFrequency (%)
1 21
19.6%
2 20
18.7%
4 16
15.0%
3 13
12.1%
5 8
 
7.5%
7 7
 
6.5%
0 7
 
6.5%
9 7
 
6.5%
6 4
 
3.7%
8 4
 
3.7%
Space Separator
ValueCountFrequency (%)
149
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 369
59.0%
Common 256
41.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
번 35
 
9.5%
동 27
 
7.3%
서 26
 
7.0%
특 26
 
7.0%
별 26
 
7.0%
시 26
 
7.0%
강 26
 
7.0%
북 26
 
7.0%
구 26
 
7.0%
울 26
 
7.0%
Other values (15) 99
26.8%
Common
ValueCountFrequency (%)
149
58.2%
1 21
 
8.2%
2 20
 
7.8%
4 16
 
6.2%
3 13
 
5.1%
5 8
 
3.1%
7 7
 
2.7%
0 7
 
2.7%
9 7
 
2.7%
6 4
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 369
59.0%
ASCII 256
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
149
58.2%
1 21
 
8.2%
2 20
 
7.8%
4 16
 
6.2%
3 13
 
5.1%
5 8
 
3.1%
7 7
 
2.7%
0 7
 
2.7%
9 7
 
2.7%
6 4
 
1.6%
Hangul
ValueCountFrequency (%)
번 35
 
9.5%
동 27
 
7.3%
서 26
 
7.0%
특 26
 
7.0%
별 26
 
7.0%
시 26
 
7.0%
강 26
 
7.0%
북 26
 
7.0%
구 26
 
7.0%
울 26
 
7.0%
Other values (15) 99
26.8%

시설구분명
Categorical

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
38 
민간시설
19 
공공시설
6 
정부지원시설
 
2

Length

Max length6
Median length4
Mean length4.0615385
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 38
58.5%
민간시설 19
29.2%
공공시설 6
 
9.2%
정부지원시설 2
 
3.1%

Length

2024-04-30T05:04:53.788134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:04:53.890823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
58.5%
민간시설 19
29.2%
공공시설 6
 
9.2%
정부지원시설 2
 
3.1%

시설명_건물명
Text

MISSING 

Distinct26
Distinct (%)96.3%
Missing38
Missing (%)58.5%
Memory size652.0 B
2024-04-30T05:04:54.033433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length9.5555556
Min length3

Characters and Unicode

Total characters258
Distinct characters98
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

Unique25 ?
Unique (%)92.6%

Sample

1st row국제운수
2nd row국제운수
3rd row가람주유소
4th row미아주유소 - 송중동
5th row청담주유소-송천동
ValueCountFrequency (%)
12
21.1%
수유1동 3
 
5.3%
국제운수 2
 
3.5%
그린파크 2
 
3.5%
미아주유소 2
 
3.5%
송중동 2
 
3.5%
번1동 2
 
3.5%
벌말 2
 
3.5%
수유4동 1
 
1.8%
금호세차장 1
 
1.8%
Other values (28) 28
49.1%
2024-04-30T05:04:54.320475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30
 
11.6%
동 17
 
6.6%
- 15
 
5.8%
수 10
 
3.9%
유 10
 
3.9%
1 7
 
2.7%
소 6
 
2.3%
송 5
 
1.9%
주 5
 
1.9%
원 5
 
1.9%
Other values (88) 148
57.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 195
75.6%
Space Separator 30
 
11.6%
Dash Punctuation 15
 
5.8%
Decimal Number 13
 
5.0%
Close Punctuation 2
 
0.8%
Open Punctuation 2
 
0.8%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 17
 
8.7%
수 10
 
5.1%
유 10
 
5.1%
소 6
 
3.1%
송 5
 
2.6%
주 5
 
2.6%
원 5
 
2.6%
번 5
 
2.6%
공 4
 
2.1%
마 4
 
2.1%
Other values (79) 124
63.6%
Decimal Number
ValueCountFrequency (%)
1 7
53.8%
2 3
23.1%
4 2
 
15.4%
9 1
 
7.7%
Space Separator
ValueCountFrequency (%)
30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 195
75.6%
Common 63
 
24.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 17
 
8.7%
수 10
 
5.1%
유 10
 
5.1%
소 6
 
3.1%
송 5
 
2.6%
주 5
 
2.6%
원 5
 
2.6%
번 5
 
2.6%
공 4
 
2.1%
마 4
 
2.1%
Other values (79) 124
63.6%
Common
ValueCountFrequency (%)
30
47.6%
- 15
23.8%
1 7
 
11.1%
2 3
 
4.8%
) 2
 
3.2%
( 2
 
3.2%
4 2
 
3.2%
. 1
 
1.6%
9 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 195
75.6%
ASCII 63
 
24.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30
47.6%
- 15
23.8%
1 7
 
11.1%
2 3
 
4.8%
) 2
 
3.2%
( 2
 
3.2%
4 2
 
3.2%
. 1
 
1.6%
9 1
 
1.6%
Hangul
ValueCountFrequency (%)
동 17
 
8.7%
수 10
 
5.1%
유 10
 
5.1%
소 6
 
3.1%
송 5
 
2.6%
주 5
 
2.6%
원 5
 
2.6%
번 5
 
2.6%
공 4
 
2.1%
마 4
 
2.1%
Other values (79) 124
63.6%

해제일자
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)77.8%
Missing38
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean20118441
Minimum20031208
Maximum20211222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-04-30T05:04:54.431401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20031208
5-th percentile20054227
Q120090118
median20120926
Q320150672
95-th percentile20190215
Maximum20211222
Range180014
Interquartile range (IQR)60554

Descriptive statistics

Standard deviation46586.033
Coefficient of variation (CV)0.0023155887
Kurtosis-0.67677933
Mean20118441
Median Absolute Deviation (MAD)30811
Skewness0.2015899
Sum5.4319789 × 108
Variance2.1702585 × 109
MonotonicityNot monotonic
2024-04-30T05:04:54.530114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20130417 3
 
4.6%
20090122 3
 
4.6%
20190215 2
 
3.1%
20071210 2
 
3.1%
20071228 1
 
1.5%
20120925 1
 
1.5%
20160114 1
 
1.5%
20141231 1
 
1.5%
20180115 1
 
1.5%
20160119 1
 
1.5%
Other values (11) 11
 
16.9%
(Missing) 38
58.5%
ValueCountFrequency (%)
20031208 1
 
1.5%
20051226 1
 
1.5%
20061228 1
 
1.5%
20071210 2
3.1%
20071228 1
 
1.5%
20090115 1
 
1.5%
20090122 3
4.6%
20090623 1
 
1.5%
20100714 1
 
1.5%
20120925 1
 
1.5%
ValueCountFrequency (%)
20211222 1
 
1.5%
20190215 2
3.1%
20180115 1
 
1.5%
20170720 1
 
1.5%
20160119 1
 
1.5%
20160114 1
 
1.5%
20141231 1
 
1.5%
20130611 1
 
1.5%
20130417 3
4.6%
20121102 1
 
1.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
030800003080000-E1977000011983-12-30<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>250<NA>서울특별시 강북구 수유동 451번지 178호서울특별시 강북구 삼양로87길 3 (수유동, 구립제일경로당)01094제일경로당- 인수동2024-02-14 19:09:57U2023-12-01 23:06:00.0<NA>201438.514515459171.43941<NA><NA><NA><NA>
130800003080000-E1979000011979-12-24<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>381<NA>서울특별시 강북구 미아동 162번지 1호서울특별시 강북구 덕릉로30길 30 (미아동)01129세일어린이공원- 미아동2024-02-14 09:34:36U2023-12-01 23:06:00.0<NA>202158.911024459021.896121<NA><NA><NA><NA>
230800003080000-E1979000031979-12-24<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>656<NA>서울특별시 강북구 수유동 172번지 210호서울특별시 강북구 도봉로95길 40 (수유동)01054은모루 공원 - 수유3동2024-01-05 17:01:45U2023-12-01 00:07:00.0<NA>202309.746036459980.592659<NA><NA><NA><NA>
330800003080000-E1981000021981-11-30<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>293<NA>서울특별시 강북구 미아동 329번지 11호서울특별시 강북구 솔샘로65길 19 (미아동)01179솔샘어린이 공원- 송천동2024-02-14 10:15:46U2023-12-01 23:06:00.0<NA>202317.648699457312.619291<NA><NA><NA><NA>
430800003080000-E1981000041981-01-012023-12-224취소/말소/만료/정지/중지19사용중지2023-12-22<NA><NA><NA><NA>90<NA>서울특별시 강북구 수유동 170-22서울특별시 강북구 한천로150길 52 (수유동)01052대호태권도-수유3동2023-12-26 12:09:54U2022-11-01 22:08:00.0<NA>202178.67791460149.135421<NA><NA><NA><NA>
530800003080000-E19820000219820831202108204취소/말소/만료/정지/중지19사용중지20210820<NA><NA><NA><NA>80<NA>서울특별시 강북구 수유동 76번지서울특별시 강북구 4.19로 135 (수유동, 아카데미하우스)01018아카데미하우스-인수동2022-04-19 15:40:51U2021-12-03 22:01:00.0<NA>200054.450616459790.386206<NA><NA><NA><NA>
630800003080000-E1983000021983-12-22<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>220<NA>서울특별시 강북구 수유동 193번지 10호서울특별시 강북구 한천로139나길 38 (수유동)01071희망어린이공원-수유3동2024-01-05 17:01:24U2023-12-01 00:07:00.0<NA>202070.148642459771.672705<NA><NA><NA><NA>
730800003080000-E1984000011994-11-17<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>90<NA>서울특별시 강북구 미아동 189번지 14호서울특별시 강북구 도봉로 260 (미아동, 운산빌딩)01132운산빌딩-미아동2024-02-14 09:35:42U2023-12-01 23:06:00.0<NA>202092.181818458818.034104<NA><NA><NA><NA>
830800003080000-E1984000021994-11-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>80<NA>서울특별시 강북구 수유동 274번지 1호서울특별시 강북구 삼양로 500-18 (수유동)01037리치다이아몬드 관광호텔- 수유2동2024-02-14 09:01:25U2023-12-01 23:06:00.0<NA>201305.455245460570.957809<NA><NA><NA><NA>
930800003080000-E19870000119870101200512264취소/말소/만료/정지/중지19사용중지20051226<NA><NA><NA><NA>100<NA>서울특별시 강북구 수유동 48번지 22 호<NA><NA>국제운수2006-05-22 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 강북구 수유동 48번지 22 호민간시설국제운수20051226
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
5530800003080000-E2018000042018-10-04<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>300<NA>서울특별시 강북구 미아동 1353번지 29호 솔샘역서울특별시 강북구 솔샘로 지하 189, 솔샘역 (미아동)[*미고시]01187우이신설경전철(솔샘역)- 삼양동2024-01-30 14:04:11U2023-12-02 00:01:00.0<NA>201111.032929457542.538894<NA><NA><NA><NA>
5630800003080000-E2021000012021-04-08<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>50<NA>서울특별시 강북구 수유동 696-6 구립수유2동어린이집서울특별시 강북구 삼양로138길 18, 구립수유2동어린이집 (수유동)01044우이동 쉼터(구립어린이집 건너편)2024-02-15 09:07:16U2023-12-01 23:07:00.0<NA>201245.370376460742.139376<NA><NA><NA><NA>
5730800003080000-E20210000220210408<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>150<NA>서울특별시 강북구 수유동 696-6 구립수유2동어린이집서울특별시 강북구 삼양로138길 18, 구립수유2동어린이집 (수유동)01044우이동 쉼터(구립수유2동 어린이집 맞은편)2021-05-10 09:17:40D2021-12-08 22:08:00.0<NA>201245.370376460742.139376<NA><NA><NA><NA>
5830800003080000-E2021000032021-04-08<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>377<NA>서울특별시 강북구 수유동 168-47서울특별시 강북구 도봉로101길 5, 우이교 (수유동)01055우이교 저류조-수유3동2024-01-05 17:03:07U2023-12-01 00:07:00.0<NA>202594.088531460048.986252<NA><NA><NA><NA>
5930800003080000-E2023000012023-12-28<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>90<NA>서울특별시 강북구 수유동 498-16 한신대학교신학대학원서울특별시 강북구 인수봉로 159, 한신대학교신학대학원 (수유동)01025한신대학교 신학대학원2024-01-31 14:13:04U2023-12-02 00:02:00.0<NA>200932.690178459128.567466<NA><NA><NA><NA>
6030800003080000-E2023000022023-12-29<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>69<NA>서울특별시 강북구 우이동 산 69 도선사서울특별시 강북구 도선사길 278, 도선사 (우이동)01002도선사 - 우이동2024-02-15 09:10:25U2023-12-01 23:07:00.0<NA>198958.899762461456.748315<NA><NA><NA><NA>
6130800003080000-E2023000032023-12-29<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>80<NA>서울특별시 강북구 수유동 산 86-1 백련조기체조회서울특별시 강북구 4.19로20길 5, 백련조기체조회 (수유동)01012백련 조기회 약수터 - 우이동2024-02-15 09:10:40U2023-12-01 23:07:00.0<NA>200106.683985460094.910564<NA><NA><NA><NA>
6230800003080000-E2024000012024-01-02<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>50<NA>서울특별시 강북구 수유동 54-5 수유시장서울특별시 강북구 도봉로67길 18, 수유시장 (수유동)01117수유시장2024-02-14 09:04:12U2023-12-01 23:06:00.0<NA>201956.180985458714.365821<NA><NA><NA><NA>
6330800003080000-E2024000022024-01-05<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>50<NA>서울특별시 강북구 수유동 252-120서울특별시 강북구 노해로 99 (수유동)01048탐라엔씨2024-02-15 18:50:25U2023-12-01 23:07:00.0<NA>201960.088484460228.864262<NA><NA><NA><NA>
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