Overview

Dataset statistics

Number of variables29
Number of observations148
Missing cells1383
Missing cells (%)32.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory35.5 KiB
Average record size in memory245.9 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
Author동대문구
URLhttps://data.seoul.go.kr/dataList/OA-20007/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 60 (40.5%) missing valuesMissing
폐업일자 has 60 (40.5%) missing valuesMissing
휴업시작일자 has 148 (100.0%) missing valuesMissing
휴업종료일자 has 148 (100.0%) missing valuesMissing
재개업일자 has 148 (100.0%) missing valuesMissing
전화번호 has 148 (100.0%) missing valuesMissing
소재지우편번호 has 148 (100.0%) missing valuesMissing
지번주소 has 8 (5.4%) missing valuesMissing
도로명주소 has 29 (19.6%) missing valuesMissing
도로명우편번호 has 31 (20.9%) missing valuesMissing
업태구분명 has 148 (100.0%) missing valuesMissing
좌표정보(X) has 31 (20.9%) missing valuesMissing
좌표정보(Y) has 31 (20.9%) missing valuesMissing
비상시설위치 has 87 (58.8%) missing valuesMissing
시설명_건물명 has 79 (53.4%) missing valuesMissing
해제일자 has 79 (53.4%) 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 04:22:52.991094
Analysis finished2024-05-11 04:22:54.204520
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
3050000
148 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3050000
2nd row3050000
3rd row3050000
4th row3050000
5th row3050000

Common Values

ValueCountFrequency (%)
3050000 148
100.0%

Length

2024-05-11T04:22:54.358818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:22:54.661126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3050000 148
100.0%

관리번호
Text

UNIQUE 

Distinct148
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-05-11T04:22:55.047406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters2664
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

Unique148 ?
Unique (%)100.0%

Sample

1st row3050000-E197600001
2nd row3050000-E197700001
3rd row3050000-E197800001
4th row3050000-E197800002
5th row3050000-E198300001
ValueCountFrequency (%)
3050000-e197600001 1
 
0.7%
3050000-e201100007 1
 
0.7%
3050000-e201200007 1
 
0.7%
3050000-e201200001 1
 
0.7%
3050000-e201200002 1
 
0.7%
3050000-e201200003 1
 
0.7%
3050000-e201200004 1
 
0.7%
3050000-e201200005 1
 
0.7%
3050000-e201200006 1
 
0.7%
3050000-e201200008 1
 
0.7%
Other values (138) 138
93.2%
2024-05-11T04:22:55.942346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1464
55.0%
3 188
 
7.1%
5 179
 
6.7%
1 179
 
6.7%
2 151
 
5.7%
- 148
 
5.6%
E 148
 
5.6%
9 97
 
3.6%
8 33
 
1.2%
4 33
 
1.2%
Other values (2) 44
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2368
88.9%
Dash Punctuation 148
 
5.6%
Uppercase Letter 148
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1464
61.8%
3 188
 
7.9%
5 179
 
7.6%
1 179
 
7.6%
2 151
 
6.4%
9 97
 
4.1%
8 33
 
1.4%
4 33
 
1.4%
7 24
 
1.0%
6 20
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 148
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 148
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2516
94.4%
Latin 148
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1464
58.2%
3 188
 
7.5%
5 179
 
7.1%
1 179
 
7.1%
2 151
 
6.0%
- 148
 
5.9%
9 97
 
3.9%
8 33
 
1.3%
4 33
 
1.3%
7 24
 
1.0%
Latin
ValueCountFrequency (%)
E 148
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2664
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1464
55.0%
3 188
 
7.1%
5 179
 
6.7%
1 179
 
6.7%
2 151
 
5.7%
- 148
 
5.6%
E 148
 
5.6%
9 97
 
3.6%
8 33
 
1.2%
4 33
 
1.2%
Other values (2) 44
 
1.7%

인허가일자
Date

Distinct61
Distinct (%)41.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum1976-09-27 00:00:00
Maximum2021-07-22 00:00:00
2024-05-11T04:22:56.453679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:22:56.881812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct28
Distinct (%)31.8%
Missing60
Missing (%)40.5%
Memory size1.3 KiB
Minimum2005-06-24 00:00:00
Maximum2023-06-22 00:00:00
2024-05-11T04:22:57.234612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:22:57.635019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

영업상태코드
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
4
88 
1
60 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
4 88
59.5%
1 60
40.5%

Length

2024-05-11T04:22:58.055202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:22:58.424637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 88
59.5%
1 60
40.5%

영업상태명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
취소/말소/만료/정지/중지
88 
영업/정상
60 

Length

Max length14
Median length14
Mean length10.351351
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
취소/말소/만료/정지/중지 88
59.5%
영업/정상 60
40.5%

Length

2024-05-11T04:22:58.689777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:22:59.080612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취소/말소/만료/정지/중지 88
59.5%
영업/정상 60
40.5%

상세영업상태코드
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
19
88 
18
60 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
19 88
59.5%
18 60
40.5%

Length

2024-05-11T04:22:59.447726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:22:59.730835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19 88
59.5%
18 60
40.5%

상세영업상태명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
사용중지
88 
사용중
60 

Length

Max length4
Median length4
Mean length3.5945946
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용중지 88
59.5%
사용중 60
40.5%

Length

2024-05-11T04:23:00.024896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:23:00.358007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중지 88
59.5%
사용중 60
40.5%

폐업일자
Date

MISSING 

Distinct28
Distinct (%)31.8%
Missing60
Missing (%)40.5%
Memory size1.3 KiB
Minimum2005-06-24 00:00:00
Maximum2023-06-22 00:00:00
2024-05-11T04:23:00.748610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:23:01.134384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing148
Missing (%)100.0%
Memory size1.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing148
Missing (%)100.0%
Memory size1.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing148
Missing (%)100.0%
Memory size1.4 KiB

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing148
Missing (%)100.0%
Memory size1.4 KiB

소재지면적
Real number (ℝ)

Distinct49
Distinct (%)33.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.33784
Minimum0
Maximum571
Zeros1
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T04:23:01.541795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile41.75
Q150
median85.5
Q3100
95-th percentile276
Maximum571
Range571
Interquartile range (IQR)50

Descriptive statistics

Standard deviation88.806796
Coefficient of variation (CV)0.86778065
Kurtosis14.60285
Mean102.33784
Median Absolute Deviation (MAD)14.5
Skewness3.5828813
Sum15146
Variance7886.647
MonotonicityNot monotonic
2024-05-11T04:23:01.957382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
100 41
27.7%
50 27
18.2%
80 8
 
5.4%
150 4
 
2.7%
90 4
 
2.7%
70 4
 
2.7%
82 4
 
2.7%
72 3
 
2.0%
85 3
 
2.0%
170 2
 
1.4%
Other values (39) 48
32.4%
ValueCountFrequency (%)
0 1
 
0.7%
10 1
 
0.7%
30 1
 
0.7%
36 1
 
0.7%
38 1
 
0.7%
39 1
 
0.7%
40 2
 
1.4%
45 2
 
1.4%
46 1
 
0.7%
50 27
18.2%
ValueCountFrequency (%)
571 1
0.7%
570 1
0.7%
525 1
0.7%
468 1
0.7%
350 1
0.7%
300 1
0.7%
292 1
0.7%
290 1
0.7%
250 1
0.7%
200 1
0.7%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing148
Missing (%)100.0%
Memory size1.4 KiB

지번주소
Text

MISSING 

Distinct132
Distinct (%)94.3%
Missing8
Missing (%)5.4%
Memory size1.3 KiB
2024-05-11T04:23:02.751812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length23.428571
Min length18

Characters and Unicode

Total characters3280
Distinct characters54
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

Unique124 ?
Unique (%)88.6%

Sample

1st row서울특별시 동대문구 답십리동 478번지 17호
2nd row서울특별시 동대문구 용두동 237번지 1호
3rd row서울특별시 동대문구 용두동 64번지 4 호
4th row서울특별시 동대문구 제기동 268번지 32 호
5th row서울특별시 동대문구 장안동 356번지
ValueCountFrequency (%)
서울특별시 140
20.3%
동대문구 140
20.3%
호 23
 
3.3%
장안동 20
 
2.9%
용두동 20
 
2.9%
전농동 20
 
2.9%
제기동 18
 
2.6%
답십리동 17
 
2.5%
청량리동 13
 
1.9%
휘경동 10
 
1.4%
Other values (178) 270
39.1%
2024-05-11T04:23:04.073793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
638
19.5%
동 280
 
8.5%
문 147
 
4.5%
서 140
 
4.3%
울 140
 
4.3%
대 140
 
4.3%
구 140
 
4.3%
시 140
 
4.3%
별 140
 
4.3%
특 140
 
4.3%
Other values (44) 1235
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2099
64.0%
Space Separator 638
 
19.5%
Decimal Number 540
 
16.5%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 280
13.3%
문 147
 
7.0%
서 140
 
6.7%
울 140
 
6.7%
대 140
 
6.7%
구 140
 
6.7%
시 140
 
6.7%
별 140
 
6.7%
특 140
 
6.7%
번 135
 
6.4%
Other values (32) 557
26.5%
Decimal Number
ValueCountFrequency (%)
1 95
17.6%
2 86
15.9%
3 62
11.5%
4 56
10.4%
9 49
9.1%
6 47
8.7%
5 41
7.6%
7 38
 
7.0%
0 37
 
6.9%
8 29
 
5.4%
Space Separator
ValueCountFrequency (%)
638
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2099
64.0%
Common 1181
36.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 280
13.3%
문 147
 
7.0%
서 140
 
6.7%
울 140
 
6.7%
대 140
 
6.7%
구 140
 
6.7%
시 140
 
6.7%
별 140
 
6.7%
특 140
 
6.7%
번 135
 
6.4%
Other values (32) 557
26.5%
Common
ValueCountFrequency (%)
638
54.0%
1 95
 
8.0%
2 86
 
7.3%
3 62
 
5.2%
4 56
 
4.7%
9 49
 
4.1%
6 47
 
4.0%
5 41
 
3.5%
7 38
 
3.2%
0 37
 
3.1%
Other values (2) 32
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2099
64.0%
ASCII 1181
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
638
54.0%
1 95
 
8.0%
2 86
 
7.3%
3 62
 
5.2%
4 56
 
4.7%
9 49
 
4.1%
6 47
 
4.0%
5 41
 
3.5%
7 38
 
3.2%
0 37
 
3.1%
Other values (2) 32
 
2.7%
Hangul
ValueCountFrequency (%)
동 280
13.3%
문 147
 
7.0%
서 140
 
6.7%
울 140
 
6.7%
대 140
 
6.7%
구 140
 
6.7%
시 140
 
6.7%
별 140
 
6.7%
특 140
 
6.7%
번 135
 
6.4%
Other values (32) 557
26.5%

도로명주소
Text

MISSING 

Distinct115
Distinct (%)96.6%
Missing29
Missing (%)19.6%
Memory size1.3 KiB
2024-05-11T04:23:04.723208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length38
Mean length28.731092
Min length22

Characters and Unicode

Total characters3419
Distinct characters156
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique111 ?
Unique (%)93.3%

Sample

1st row서울특별시 동대문구 천호대로13길 43 (용두동, 서울용두초등학교)
2nd row서울특별시 동대문구 왕산로23길 55 (제기동)
3rd row서울특별시 동대문구 장안벚꽃로 77 (장안동, 장평근린공원)
4th row서울특별시 동대문구 서울시립대로 163 (전농동, 서울시립대학교)
5th row서울특별시 동대문구 무학로43길 54-2 (용두동)
ValueCountFrequency (%)
서울특별시 119
18.7%
동대문구 119
18.7%
장안동 20
 
3.1%
전농동 17
 
2.7%
제기동 16
 
2.5%
용두동 15
 
2.4%
답십리동 14
 
2.2%
청량리동 12
 
1.9%
휘경동 10
 
1.6%
답십리로 7
 
1.1%
Other values (193) 286
45.0%
2024-05-11T04:23:05.705032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
516
 
15.1%
동 246
 
7.2%
대 135
 
3.9%
시 133
 
3.9%
서 129
 
3.8%
울 128
 
3.7%
문 127
 
3.7%
구 121
 
3.5%
로 119
 
3.5%
( 119
 
3.5%
Other values (146) 1646
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2226
65.1%
Space Separator 516
 
15.1%
Decimal Number 377
 
11.0%
Open Punctuation 119
 
3.5%
Close Punctuation 119
 
3.5%
Other Punctuation 47
 
1.4%
Dash Punctuation 11
 
0.3%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 246
 
11.1%
대 135
 
6.1%
시 133
 
6.0%
서 129
 
5.8%
울 128
 
5.8%
문 127
 
5.7%
구 121
 
5.4%
로 119
 
5.3%
별 119
 
5.3%
특 119
 
5.3%
Other values (129) 850
38.2%
Decimal Number
ValueCountFrequency (%)
1 64
17.0%
2 57
15.1%
3 47
12.5%
4 45
11.9%
5 35
9.3%
6 32
8.5%
7 29
7.7%
0 27
7.2%
9 22
 
5.8%
8 19
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
S 2
50.0%
K 2
50.0%
Space Separator
ValueCountFrequency (%)
516
100.0%
Open Punctuation
ValueCountFrequency (%)
( 119
100.0%
Close Punctuation
ValueCountFrequency (%)
) 119
100.0%
Other Punctuation
ValueCountFrequency (%)
, 47
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2226
65.1%
Common 1189
34.8%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 246
 
11.1%
대 135
 
6.1%
시 133
 
6.0%
서 129
 
5.8%
울 128
 
5.8%
문 127
 
5.7%
구 121
 
5.4%
로 119
 
5.3%
별 119
 
5.3%
특 119
 
5.3%
Other values (129) 850
38.2%
Common
ValueCountFrequency (%)
516
43.4%
( 119
 
10.0%
) 119
 
10.0%
1 64
 
5.4%
2 57
 
4.8%
3 47
 
4.0%
, 47
 
4.0%
4 45
 
3.8%
5 35
 
2.9%
6 32
 
2.7%
Other values (5) 108
 
9.1%
Latin
ValueCountFrequency (%)
S 2
50.0%
K 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2226
65.1%
ASCII 1193
34.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
516
43.3%
( 119
 
10.0%
) 119
 
10.0%
1 64
 
5.4%
2 57
 
4.8%
3 47
 
3.9%
, 47
 
3.9%
4 45
 
3.8%
5 35
 
2.9%
6 32
 
2.7%
Other values (7) 112
 
9.4%
Hangul
ValueCountFrequency (%)
동 246
 
11.1%
대 135
 
6.1%
시 133
 
6.0%
서 129
 
5.8%
울 128
 
5.8%
문 127
 
5.7%
구 121
 
5.4%
로 119
 
5.3%
별 119
 
5.3%
특 119
 
5.3%
Other values (129) 850
38.2%

도로명우편번호
Text

MISSING 

Distinct85
Distinct (%)72.6%
Missing31
Missing (%)20.9%
Memory size1.3 KiB
2024-05-11T04:23:06.418183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2136752
Min length5

Characters and Unicode

Total characters610
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

Unique68 ?
Unique (%)58.1%

Sample

1st row02583
2nd row130861
3rd row02641
4th row02504
5th row130824
ValueCountFrequency (%)
02560 7
 
6.0%
02571 6
 
5.1%
02611 4
 
3.4%
02455 4
 
3.4%
02524 3
 
2.6%
02573 3
 
2.6%
02625 2
 
1.7%
02532 2
 
1.7%
02448 2
 
1.7%
130864 2
 
1.7%
Other values (75) 82
70.1%
2024-05-11T04:23:07.791318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 143
23.4%
2 119
19.5%
5 75
12.3%
4 55
 
9.0%
1 51
 
8.4%
3 48
 
7.9%
8 40
 
6.6%
6 37
 
6.1%
7 30
 
4.9%
9 11
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 609
99.8%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 143
23.5%
2 119
19.5%
5 75
12.3%
4 55
 
9.0%
1 51
 
8.4%
3 48
 
7.9%
8 40
 
6.6%
6 37
 
6.1%
7 30
 
4.9%
9 11
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 610
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 143
23.4%
2 119
19.5%
5 75
12.3%
4 55
 
9.0%
1 51
 
8.4%
3 48
 
7.9%
8 40
 
6.6%
6 37
 
6.1%
7 30
 
4.9%
9 11
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 610
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 143
23.4%
2 119
19.5%
5 75
12.3%
4 55
 
9.0%
1 51
 
8.4%
3 48
 
7.9%
8 40
 
6.6%
6 37
 
6.1%
7 30
 
4.9%
9 11
 
1.8%

사업장명
Text

Distinct143
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-05-11T04:23:08.765409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14.5
Mean length6.0945946
Min length3

Characters and Unicode

Total characters902
Distinct characters228
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique139 ?
Unique (%)93.9%

Sample

1st row답십리1동사무소
2nd row용두초등학교
3rd row용두1동사무소
4th row성일중학교
5th row장평근린공원
ValueCountFrequency (%)
경희대학교 3
 
1.9%
한국철도공사 2
 
1.2%
국립산림과학원 2
 
1.2%
장안동 2
 
1.2%
수안보기사우나 2
 
1.2%
한국과학기술정보연구원 2
 
1.2%
태민기업 2
 
1.2%
백두산 1
 
0.6%
서울수산 1
 
0.6%
주)파랑에너지 1
 
0.6%
Other values (143) 143
88.8%
2024-05-11T04:23:10.417475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 25
 
2.8%
나 20
 
2.2%
안 19
 
2.1%
원 19
 
2.1%
사 19
 
2.1%
산 18
 
2.0%
( 17
 
1.9%
) 17
 
1.9%
탕 16
 
1.8%
우 15
 
1.7%
Other values (218) 717
79.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 830
92.0%
Decimal Number 19
 
2.1%
Open Punctuation 17
 
1.9%
Close Punctuation 17
 
1.9%
Space Separator 13
 
1.4%
Uppercase Letter 5
 
0.6%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 25
 
3.0%
나 20
 
2.4%
안 19
 
2.3%
원 19
 
2.3%
사 19
 
2.3%
산 18
 
2.2%
탕 16
 
1.9%
우 15
 
1.8%
동 14
 
1.7%
정 14
 
1.7%
Other values (205) 651
78.4%
Decimal Number
ValueCountFrequency (%)
2 9
47.4%
1 7
36.8%
6 1
 
5.3%
3 1
 
5.3%
8 1
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
G 2
40.0%
S 1
20.0%
P 1
20.0%
L 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 830
92.0%
Common 67
 
7.4%
Latin 5
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 25
 
3.0%
나 20
 
2.4%
안 19
 
2.3%
원 19
 
2.3%
사 19
 
2.3%
산 18
 
2.2%
탕 16
 
1.9%
우 15
 
1.8%
동 14
 
1.7%
정 14
 
1.7%
Other values (205) 651
78.4%
Common
ValueCountFrequency (%)
( 17
25.4%
) 17
25.4%
13
19.4%
2 9
13.4%
1 7
10.4%
- 1
 
1.5%
6 1
 
1.5%
3 1
 
1.5%
8 1
 
1.5%
Latin
ValueCountFrequency (%)
G 2
40.0%
S 1
20.0%
P 1
20.0%
L 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 830
92.0%
ASCII 72
 
8.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 25
 
3.0%
나 20
 
2.4%
안 19
 
2.3%
원 19
 
2.3%
사 19
 
2.3%
산 18
 
2.2%
탕 16
 
1.9%
우 15
 
1.8%
동 14
 
1.7%
정 14
 
1.7%
Other values (205) 651
78.4%
ASCII
ValueCountFrequency (%)
( 17
23.6%
) 17
23.6%
13
18.1%
2 9
12.5%
1 7
9.7%
G 2
 
2.8%
- 1
 
1.4%
S 1
 
1.4%
6 1
 
1.4%
P 1
 
1.4%
Other values (3) 3
 
4.2%

최종수정일자
Date

UNIQUE 

Distinct148
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2005-06-24 00:00:00
Maximum2023-09-13 11:17:13
2024-05-11T04:23:11.243004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:23:12.028018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
U
86 
I
62 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 86
58.1%
I 62
41.9%

Length

2024-05-11T04:23:12.668899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:23:13.230951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 86
58.1%
i 62
41.9%

데이터갱신일자
Date

Distinct8
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2018-08-31 23:59:59
Maximum2022-12-08 23:05:00
2024-05-11T04:23:13.705153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:23:14.384976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing148
Missing (%)100.0%
Memory size1.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct110
Distinct (%)94.0%
Missing31
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean204577.47
Minimum202257.99
Maximum206590.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T04:23:14.954612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202257.99
5-th percentile202744.48
Q1203578.45
median204526.56
Q3205622.75
95-th percentile206357.4
Maximum206590.05
Range4332.0605
Interquartile range (IQR)2044.2932

Descriptive statistics

Standard deviation1175.1006
Coefficient of variation (CV)0.0057440374
Kurtosis-1.1397024
Mean204577.47
Median Absolute Deviation (MAD)994.74066
Skewness-0.064039515
Sum23935564
Variance1380861.5
MonotonicityNot monotonic
2024-05-11T04:23:15.595573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203393.868669789 2
 
1.4%
206590.046202018 2
 
1.4%
203802.683630111 2
 
1.4%
205852.529249014 2
 
1.4%
204469.209049094 2
 
1.4%
203894.443020615 2
 
1.4%
205271.704936121 2
 
1.4%
205862.431639162 1
 
0.7%
205179.142803416 1
 
0.7%
203533.131755662 1
 
0.7%
Other values (100) 100
67.6%
(Missing) 31
 
20.9%
ValueCountFrequency (%)
202257.985695221 1
0.7%
202335.376325521 1
0.7%
202393.812416128 1
0.7%
202487.51461085 1
0.7%
202489.111766108 1
0.7%
202582.019563324 1
0.7%
202785.097798743 1
0.7%
202792.678699836 1
0.7%
202890.091910435 1
0.7%
202924.892794116 1
0.7%
ValueCountFrequency (%)
206590.046202018 2
1.4%
206543.156690365 1
0.7%
206521.405320134 1
0.7%
206502.751884821 1
0.7%
206464.060139046 1
0.7%
206330.734645956 1
0.7%
206277.800695435 1
0.7%
206176.178625746 1
0.7%
206157.982619751 1
0.7%
206142.804223328 1
0.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct110
Distinct (%)94.0%
Missing31
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean453119.46
Minimum451110.25
Maximum455896.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T04:23:16.282184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451110.25
5-th percentile451692.93
Q1452410.62
median452953.84
Q3453729.32
95-th percentile454804.75
Maximum455896.6
Range4786.3527
Interquartile range (IQR)1318.6965

Descriptive statistics

Standard deviation997.76943
Coefficient of variation (CV)0.0022020009
Kurtosis-0.04516982
Mean453119.46
Median Absolute Deviation (MAD)659.11631
Skewness0.47312513
Sum53014977
Variance995543.84
MonotonicityNot monotonic
2024-05-11T04:23:16.949465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
453185.417500829 2
 
1.4%
452410.619464697 2
 
1.4%
454556.501633493 2
 
1.4%
454326.558995892 2
 
1.4%
454934.047367752 2
 
1.4%
453040.730006318 2
 
1.4%
452706.897879436 2
 
1.4%
453442.218093219 1
 
0.7%
454146.302301637 1
 
0.7%
453729.315952453 1
 
0.7%
Other values (100) 100
67.6%
(Missing) 31
 
20.9%
ValueCountFrequency (%)
451110.245309908 1
0.7%
451326.694652241 1
0.7%
451373.15341337 1
0.7%
451518.542200454 1
0.7%
451561.105883407 1
0.7%
451657.395402106 1
0.7%
451701.816954014 1
0.7%
451718.364389867 1
0.7%
451726.676720858 1
0.7%
451787.082548515 1
0.7%
ValueCountFrequency (%)
455896.598021847 1
0.7%
455876.231869346 1
0.7%
455210.264042319 1
0.7%
455208.285170043 1
0.7%
454934.047367752 2
1.4%
454772.4287538 1
0.7%
454755.955470881 1
0.7%
454719.205565844 1
0.7%
454700.999035247 1
0.7%
454586.441526019 1
0.7%

비상시설위치
Text

MISSING 

Distinct59
Distinct (%)96.7%
Missing87
Missing (%)58.8%
Memory size1.3 KiB
2024-05-11T04:23:17.703761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length24.737705
Min length18

Characters and Unicode

Total characters1509
Distinct characters43
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

Unique57 ?
Unique (%)93.4%

Sample

1st row서울특별시 동대문구 답십리동 478번지 17호
2nd row서울특별시 동대문구 용두동 64번지 4 호
3rd row서울특별시 동대문구 제기동 268번지 32 호
4th row서울특별시 동대문구 신설동 92번지 62 호
5th row서울특별시 동대문구 용두동 755번지 4 호
ValueCountFrequency (%)
서울특별시 61
19.1%
동대문구 61
19.1%
호 23
 
7.2%
전농동 13
 
4.1%
장안동 8
 
2.5%
답십리동 8
 
2.5%
제기동 7
 
2.2%
용두동 6
 
1.9%
4 5
 
1.6%
1번지 4
 
1.3%
Other values (96) 123
38.6%
2024-05-11T04:23:18.801298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
345
22.9%
동 122
 
8.1%
문 64
 
4.2%
서 61
 
4.0%
특 61
 
4.0%
별 61
 
4.0%
시 61
 
4.0%
대 61
 
4.0%
구 61
 
4.0%
울 61
 
4.0%
Other values (33) 551
36.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 918
60.8%
Space Separator 345
 
22.9%
Decimal Number 246
 
16.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 122
13.3%
문 64
 
7.0%
서 61
 
6.6%
특 61
 
6.6%
별 61
 
6.6%
시 61
 
6.6%
대 61
 
6.6%
구 61
 
6.6%
울 61
 
6.6%
번 61
 
6.6%
Other values (22) 244
26.6%
Decimal Number
ValueCountFrequency (%)
1 50
20.3%
2 34
13.8%
4 29
11.8%
3 26
10.6%
6 23
9.3%
9 21
8.5%
5 21
8.5%
8 18
 
7.3%
7 12
 
4.9%
0 12
 
4.9%
Space Separator
ValueCountFrequency (%)
345
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 918
60.8%
Common 591
39.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 122
13.3%
문 64
 
7.0%
서 61
 
6.6%
특 61
 
6.6%
별 61
 
6.6%
시 61
 
6.6%
대 61
 
6.6%
구 61
 
6.6%
울 61
 
6.6%
번 61
 
6.6%
Other values (22) 244
26.6%
Common
ValueCountFrequency (%)
345
58.4%
1 50
 
8.5%
2 34
 
5.8%
4 29
 
4.9%
3 26
 
4.4%
6 23
 
3.9%
9 21
 
3.6%
5 21
 
3.6%
8 18
 
3.0%
7 12
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 918
60.8%
ASCII 591
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
345
58.4%
1 50
 
8.5%
2 34
 
5.8%
4 29
 
4.9%
3 26
 
4.4%
6 23
 
3.9%
9 21
 
3.6%
5 21
 
3.6%
8 18
 
3.0%
7 12
 
2.0%
Hangul
ValueCountFrequency (%)
동 122
13.3%
문 64
 
7.0%
서 61
 
6.6%
특 61
 
6.6%
별 61
 
6.6%
시 61
 
6.6%
대 61
 
6.6%
구 61
 
6.6%
울 61
 
6.6%
번 61
 
6.6%
Other values (22) 244
26.6%

시설구분명
Categorical

Distinct5
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
79 
민간시설
59 
공공시설
 
7
정부지원시설
 
2
자치단체자체시설
 
1

Length

Max length8
Median length4
Mean length4.0540541
Min length4

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 79
53.4%
민간시설 59
39.9%
공공시설 7
 
4.7%
정부지원시설 2
 
1.4%
자치단체자체시설 1
 
0.7%

Length

2024-05-11T04:23:19.365560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:23:19.968563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 79
53.4%
민간시설 59
39.9%
공공시설 7
 
4.7%
정부지원시설 2
 
1.4%
자치단체자체시설 1
 
0.7%

시설명_건물명
Text

MISSING 

Distinct67
Distinct (%)97.1%
Missing79
Missing (%)53.4%
Memory size1.3 KiB
2024-05-11T04:23:20.497531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length5.7971014
Min length3

Characters and Unicode

Total characters400
Distinct characters161
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)94.2%

Sample

1st row답십리1동사무소
2nd row용두1동사무소
3rd row성일중학교
4th row신설주유소
5th row개성집
ValueCountFrequency (%)
한국철도공사 2
 
2.9%
태민기업 2
 
2.9%
공장(추교성 1
 
1.4%
대동장모텔 1
 
1.4%
신선미세상 1
 
1.4%
두봉사우나 1
 
1.4%
우터피아 1
 
1.4%
임업연구소2(연구장 1
 
1.4%
두산개발 1
 
1.4%
콩나물 1
 
1.4%
Other values (58) 58
82.9%
2024-05-11T04:23:21.722056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 13
 
3.2%
탕 13
 
3.2%
) 13
 
3.2%
장 12
 
3.0%
사 9
 
2.2%
경 8
 
2.0%
원 7
 
1.8%
나 7
 
1.8%
대 7
 
1.8%
성 7
 
1.8%
Other values (151) 304
76.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 366
91.5%
Open Punctuation 13
 
3.2%
Close Punctuation 13
 
3.2%
Decimal Number 5
 
1.2%
Uppercase Letter 2
 
0.5%
Space Separator 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
탕 13
 
3.6%
장 12
 
3.3%
사 9
 
2.5%
경 8
 
2.2%
원 7
 
1.9%
나 7
 
1.9%
대 7
 
1.9%
성 7
 
1.9%
공 6
 
1.6%
주 6
 
1.6%
Other values (144) 284
77.6%
Decimal Number
ValueCountFrequency (%)
1 3
60.0%
2 2
40.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
G 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 366
91.5%
Common 32
 
8.0%
Latin 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
탕 13
 
3.6%
장 12
 
3.3%
사 9
 
2.5%
경 8
 
2.2%
원 7
 
1.9%
나 7
 
1.9%
대 7
 
1.9%
성 7
 
1.9%
공 6
 
1.6%
주 6
 
1.6%
Other values (144) 284
77.6%
Common
ValueCountFrequency (%)
( 13
40.6%
) 13
40.6%
1 3
 
9.4%
2 2
 
6.2%
1
 
3.1%
Latin
ValueCountFrequency (%)
S 1
50.0%
G 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 366
91.5%
ASCII 34
 
8.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 13
38.2%
) 13
38.2%
1 3
 
8.8%
2 2
 
5.9%
1
 
2.9%
S 1
 
2.9%
G 1
 
2.9%
Hangul
ValueCountFrequency (%)
탕 13
 
3.6%
장 12
 
3.3%
사 9
 
2.5%
경 8
 
2.2%
원 7
 
1.9%
나 7
 
1.9%
대 7
 
1.9%
성 7
 
1.9%
공 6
 
1.6%
주 6
 
1.6%
Other values (144) 284
77.6%

해제일자
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)33.3%
Missing79
Missing (%)53.4%
Infinite0
Infinite (%)0.0%
Mean20137730
Minimum20050624
Maximum20210720
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T04:23:22.359874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050624
5-th percentile20080155
Q120120717
median20140805
Q320160112
95-th percentile20181226
Maximum20210720
Range160096
Interquartile range (IQR)39395

Descriptive statistics

Standard deviation34556.683
Coefficient of variation (CV)0.0017160168
Kurtosis-0.039277764
Mean20137730
Median Absolute Deviation (MAD)20088
Skewness-0.41092618
Sum1.3895034 × 109
Variance1.1941643 × 109
MonotonicityNot monotonic
2024-05-11T04:23:22.810731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
20150122 10
 
6.8%
20160112 7
 
4.7%
20121017 7
 
4.7%
20140805 6
 
4.1%
20120717 6
 
4.1%
20181226 5
 
3.4%
20170105 4
 
2.7%
20111024 4
 
2.7%
20091130 3
 
2.0%
20171228 2
 
1.4%
Other values (13) 15
 
10.1%
(Missing) 79
53.4%
ValueCountFrequency (%)
20050624 1
 
0.7%
20051231 1
 
0.7%
20080115 2
 
1.4%
20080214 1
 
0.7%
20080527 1
 
0.7%
20080818 1
 
0.7%
20091130 3
2.0%
20101231 1
 
0.7%
20111024 4
2.7%
20120717 6
4.1%
ValueCountFrequency (%)
20210720 2
 
1.4%
20181226 5
3.4%
20180223 1
 
0.7%
20171228 2
 
1.4%
20170329 1
 
0.7%
20170105 4
 
2.7%
20160930 1
 
0.7%
20160112 7
4.7%
20150723 1
 
0.7%
20150122 10
6.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
030500003050000-E19760000119760927201207174취소/말소/만료/정지/중지19사용중지20120717<NA><NA><NA><NA>10<NA>서울특별시 동대문구 답십리동 478번지 17호<NA><NA>답십리1동사무소2012-07-17 17:33:25I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 동대문구 답십리동 478번지 17호자치단체자체시설답십리1동사무소20120717
130500003050000-E1977000011977-11-20<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>198<NA>서울특별시 동대문구 용두동 237번지 1호서울특별시 동대문구 천호대로13길 43 (용두동, 서울용두초등학교)02583용두초등학교2023-07-11 08:48:00U2022-12-06 23:03:00.0<NA>202489.111766452624.489405<NA><NA><NA><NA>
230500003050000-E19780000119781220200801154취소/말소/만료/정지/중지19사용중지20080115<NA><NA><NA><NA>571<NA>서울특별시 동대문구 용두동 64번지 4 호<NA><NA>용두1동사무소2008-10-02 13:12:03I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 동대문구 용두동 64번지 4 호정부지원시설용두1동사무소20080115
330500003050000-E19780000219781220201609304취소/말소/만료/정지/중지19사용중지20160930<NA><NA><NA><NA>78<NA>서울특별시 동대문구 제기동 268번지 32 호서울특별시 동대문구 왕산로23길 55 (제기동)130861성일중학교2016-10-19 08:30:37I2018-08-31 23:59:59.0<NA>202924.892794453218.051186서울특별시 동대문구 제기동 268번지 32 호정부지원시설성일중학교20160930
430500003050000-E1983000011983-11-30<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>292<NA>서울특별시 동대문구 장안동 356번지서울특별시 동대문구 장안벚꽃로 77 (장안동, 장평근린공원)02641장평근린공원2023-07-11 08:48:18U2022-12-06 23:03:00.0<NA>206464.060139451657.395402<NA><NA><NA><NA>
530500003050000-E1983000021983-11-30<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>290<NA>서울특별시 동대문구 전농동 694번지서울특별시 동대문구 서울시립대로 163 (전농동, 서울시립대학교)02504서울시립대2023-07-11 08:48:44U2022-12-06 23:03:00.0<NA>205232.466601453459.55417<NA><NA><NA><NA>
630500003050000-E19840000219840101201207174취소/말소/만료/정지/중지19사용중지20120717<NA><NA><NA><NA>100<NA>서울특별시 동대문구 신설동 92번지 62 호<NA><NA>신설주유소2012-07-17 17:29:38I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 동대문구 신설동 92번지 62 호민간시설신설주유소20120717
730500003050000-E19840000319840101201501224취소/말소/만료/정지/중지19사용중지20150122<NA><NA><NA><NA>50<NA>서울특별시 동대문구 용두동 755번지 4 호서울특별시 동대문구 무학로43길 54-2 (용두동)130824개성집2015-01-22 13:57:43I2018-08-31 23:59:59.0<NA>202393.812416453015.981283서울특별시 동대문구 용두동 755번지 4 호민간시설개성집20150122
830500003050000-E1984000041984-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>50<NA>서울특별시 동대문구 용두동 209번지 2호서울특별시 동대문구 한빛로 58 (용두동)02579우리방앗간2023-07-11 08:52:19U2022-12-06 23:03:00.0<NA>202487.514611452935.630245<NA><NA><NA><NA>
930500003050000-E19850000119850628201701054취소/말소/만료/정지/중지19사용중지20170105<NA><NA><NA><NA>100<NA>서울특별시 동대문구 답십리동 4번지 295호서울특별시 동대문구 한천로15길 26 (답십리동)02611콩나물1공장2017-01-05 11:51:41I2018-08-31 23:59:59.0<NA>205371.412292451787.082549서울특별시 동대문구 답십리동 4번지 295호민간시설콩나물1공장20170105
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
13830500003050000-E2017000042017-01-05<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>53<NA>서울특별시 동대문구 휘경동 267-10서울특별시 동대문구 망우로 57(휘경동)02439에스오일LPG동서울충전소2023-07-11 09:45:16U2022-12-06 23:03:00.0<NA>205179.142803454146.302302<NA><NA><NA><NA>
13930500003050000-E20170000520171228202212014취소/말소/만료/정지/중지19사용중지20221201<NA><NA><NA><NA>100<NA>서울특별시 동대문구 제기동 899번지서울특별시 동대문구 약령시로14길 43 (제기동)02571은정상회2022-11-29 15:37:57U2021-11-02 00:01:00.0<NA>203393.86867453185.417501<NA><NA><NA><NA>
14030500003050000-E20170000620171228202301024취소/말소/만료/정지/중지19사용중지20230102<NA><NA><NA><NA>100<NA>서울특별시 동대문구 전농동 10번지서울특별시 동대문구 사가정로 148 (전농동, 전농SK아파트)02532연수불가마사우나2023-01-27 16:08:47U2022-11-30 22:09:00.0<NA>205271.704936452706.897879<NA><NA><NA><NA>
14130500003050000-E2018000012018-02-23<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>65<NA>서울특별시 동대문구 휘경동 43번지 7호서울특별시 동대문구 한천로 247 (휘경동, 휘경여자중고등학교)02503배봉산근린공원 휘경여고옆산6-822023-07-11 09:45:53U2022-12-06 23:03:00.0<NA>205862.431639453442.218093<NA><NA><NA><NA>
14230500003050000-E2018000022018-12-26<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>100<NA>서울특별시 동대문구 용두동 14번지 21호서울특별시 동대문구 고산자로34길 55 (용두동)02560삼도수산2023-07-11 09:46:24U2022-12-06 23:03:00.0<NA>203578.453134452902.295302<NA><NA><NA><NA>
14330500003050000-E2018000032018-12-26<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>50<NA>서울특별시 동대문구 답십리동 2번지 51호서울특별시 동대문구 한천로 81 (답십리동, 오동나무주유소)02611오동나무주유소2023-07-11 09:46:57U2022-12-06 23:03:00.0<NA>205534.707136451850.933336<NA><NA><NA><NA>
14430500003050000-E2018000042018-12-26<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>98<NA>서울특별시 동대문구 장안동 164번지 2호서울특별시 동대문구 한천로 100 (장안동)02626삼미상사주 장안킹셀프주유소2023-07-11 09:47:40U2022-12-06 23:03:00.0<NA>205664.32441451975.036039<NA><NA><NA><NA>
14530500003050000-E2018000052018-12-26<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>45<NA>서울특별시 동대문구 장안동 352번지서울특별시 동대문구 답십리로72길 158 (장안동, 장평중학교)02640장평중학교2023-07-11 09:48:26U2022-12-06 23:03:00.0<NA>206157.98262451561.105883<NA><NA><NA><NA>
14630500003050000-E2018000062018-12-26<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>70<NA>서울특별시 동대문구 이문동 22번지 2호서울특별시 동대문구 한천로58길 209 (이문동)02421삼천리이앤이2023-07-11 09:55:29U2022-12-06 23:03:00.0<NA>206142.804223455896.598022<NA><NA><NA><NA>
14730500003050000-E2021000012021-07-22<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>100<NA>서울특별시 동대문구 용두동 20-47서울특별시 동대문구 고산자로34길 48-1(용두동)02560신발수산2023-07-11 09:56:05U2022-12-06 23:03:00.0<NA>203564.805721452865.068273<NA><NA><NA><NA>