Overview

Dataset statistics

Number of variables29
Number of observations114
Missing cells1061
Missing cells (%)32.1%
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
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-20018/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 36 (31.6%) missing valuesMissing
폐업일자 has 36 (31.6%) 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 55 (48.2%) missing valuesMissing
도로명우편번호 has 55 (48.2%) missing valuesMissing
업태구분명 has 114 (100.0%) missing valuesMissing
좌표정보(X) has 54 (47.4%) missing valuesMissing
좌표정보(Y) has 54 (47.4%) missing valuesMissing
비상시설위치 has 22 (19.3%) missing valuesMissing
시설명_건물명 has 22 (19.3%) missing valuesMissing
해제일자 has 43 (37.7%) missing valuesMissing
관리번호 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 08:04:42.098038
Analysis finished2024-05-11 08:04:42.621427
Duration0.52 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
3160000
114 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3160000
2nd row3160000
3rd row3160000
4th row3160000
5th row3160000

Common Values

ValueCountFrequency (%)
3160000 114
100.0%

Length

2024-05-11T17:04:42.683995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:42.780626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 114
100.0%

관리번호
Text

UNIQUE 

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-05-11T17:04:42.938722image/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 row3160000-E198000002
2nd row3160000-E198200001
3rd row3160000-E198500001
4th row3160000-E198900001
5th row3160000-E199400001
ValueCountFrequency (%)
3160000-e198000002 1
 
0.9%
3160000-e200600002 1
 
0.9%
3160000-e200500035 1
 
0.9%
3160000-e200500034 1
 
0.9%
3160000-e200500033 1
 
0.9%
3160000-e200500032 1
 
0.9%
3160000-e200500031 1
 
0.9%
3160000-e200500030 1
 
0.9%
3160000-e200500029 1
 
0.9%
3160000-e200500028 1
 
0.9%
Other values (104) 104
91.2%
2024-05-11T17:04:43.314193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1012
49.3%
1 222
 
10.8%
3 136
 
6.6%
6 136
 
6.6%
- 114
 
5.6%
E 114
 
5.6%
2 106
 
5.2%
9 93
 
4.5%
5 50
 
2.4%
4 30
 
1.5%
Other values (2) 39
 
1.9%

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 1012
55.5%
1 222
 
12.2%
3 136
 
7.5%
6 136
 
7.5%
2 106
 
5.8%
9 93
 
5.1%
5 50
 
2.7%
4 30
 
1.6%
8 26
 
1.4%
7 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 1012
52.2%
1 222
 
11.5%
3 136
 
7.0%
6 136
 
7.0%
- 114
 
5.9%
2 106
 
5.5%
9 93
 
4.8%
5 50
 
2.6%
4 30
 
1.5%
8 26
 
1.3%
Latin
ValueCountFrequency (%)
E 114
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2052
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1012
49.3%
1 222
 
10.8%
3 136
 
6.6%
6 136
 
6.6%
- 114
 
5.6%
E 114
 
5.6%
2 106
 
5.2%
9 93
 
4.5%
5 50
 
2.4%
4 30
 
1.5%
Other values (2) 39
 
1.9%

인허가일자
Date

Distinct41
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum1980-12-01 00:00:00
Maximum2020-01-17 00:00:00
2024-05-11T17:04:43.484359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:04:43.922383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

인허가취소일자
Date

MISSING 

Distinct37
Distinct (%)47.4%
Missing36
Missing (%)31.6%
Memory size1.0 KiB
Minimum2005-01-01 00:00:00
Maximum2023-05-04 00:00:00
2024-05-11T17:04:44.053543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:04:44.180861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

영업상태코드
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
4
78 
1
36 

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 78
68.4%
1 36
31.6%

Length

2024-05-11T17:04:44.310784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:44.413733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 78
68.4%
1 36
31.6%

영업상태명
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
취소/말소/만료/정지/중지
78 
영업/정상
36 

Length

Max length14
Median length14
Mean length11.157895
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 78
68.4%
영업/정상 36
31.6%

Length

2024-05-11T17:04:44.518695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:44.611880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취소/말소/만료/정지/중지 78
68.4%
영업/정상 36
31.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
19
78 
18
36 

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 78
68.4%
18 36
31.6%

Length

2024-05-11T17:04:44.757923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:44.864990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19 78
68.4%
18 36
31.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
사용중지
78 
사용중
36 

Length

Max length4
Median length4
Mean length3.6842105
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용중지 78
68.4%
사용중 36
31.6%

Length

2024-05-11T17:04:44.980545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:45.086257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중지 78
68.4%
사용중 36
31.6%

폐업일자
Date

MISSING 

Distinct37
Distinct (%)47.4%
Missing36
Missing (%)31.6%
Memory size1.0 KiB
Minimum2005-01-01 00:00:00
Maximum2023-05-04 00:00:00
2024-05-11T17:04:45.189941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:04:45.334145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

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)

Distinct54
Distinct (%)47.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.88421
Minimum30
Maximum700
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T17:04:45.481726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile40.55
Q167
median86.5
Q3147
95-th percentile300
Maximum700
Range670
Interquartile range (IQR)80

Descriptive statistics

Standard deviation103.81298
Coefficient of variation (CV)0.84480324
Kurtosis8.8201777
Mean122.88421
Median Absolute Deviation (MAD)21.5
Skewness2.5883125
Sum14008.8
Variance10777.135
MonotonicityNot monotonic
2024-05-11T17:04:45.630165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 11
 
9.6%
80.0 10
 
8.8%
50.0 8
 
7.0%
300.0 7
 
6.1%
70.0 5
 
4.4%
150.0 4
 
3.5%
93.0 4
 
3.5%
60.0 3
 
2.6%
30.0 3
 
2.6%
200.0 3
 
2.6%
Other values (44) 56
49.1%
ValueCountFrequency (%)
30.0 3
 
2.6%
32.0 1
 
0.9%
34.0 1
 
0.9%
36.0 1
 
0.9%
43.0 1
 
0.9%
45.0 1
 
0.9%
50.0 8
7.0%
53.0 1
 
0.9%
55.0 1
 
0.9%
56.0 2
 
1.8%
ValueCountFrequency (%)
700.0 1
 
0.9%
440.0 1
 
0.9%
432.0 1
 
0.9%
400.0 1
 
0.9%
354.0 1
 
0.9%
300.0 7
6.1%
266.0 2
 
1.8%
220.0 1
 
0.9%
216.0 2
 
1.8%
200.0 3
2.6%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

지번주소
Text

Distinct109
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-05-11T17:04:45.965780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27
Mean length23.087719
Min length16

Characters and Unicode

Total characters2632
Distinct characters86
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)91.2%

Sample

1st row서울특별시 구로구 구로동 105번지 2호
2nd row서울특별시 구로구 구로동 435번지
3rd row서울특별시 구로구 궁동 35번지
4th row서울특별시 구로구 궁동 213번지 21호
5th row서울특별시 구로구 구로동 685번지 124 호
ValueCountFrequency (%)
서울특별시 114
19.4%
구로구 114
19.4%
호 37
 
6.3%
구로동 32
 
5.5%
고척동 20
 
3.4%
궁동 18
 
3.1%
오류동 13
 
2.2%
개봉동 12
 
2.0%
1호 12
 
2.0%
항동 8
 
1.4%
Other values (148) 207
35.3%
2024-05-11T17:04:46.500077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
605
23.0%
구 262
 
10.0%
로 146
 
5.5%
동 115
 
4.4%
서 114
 
4.3%
울 114
 
4.3%
특 114
 
4.3%
별 114
 
4.3%
시 114
 
4.3%
1 104
 
4.0%
Other values (76) 830
31.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1582
60.1%
Space Separator 605
 
23.0%
Decimal Number 434
 
16.5%
Dash Punctuation 9
 
0.3%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 262
16.6%
로 146
9.2%
동 115
 
7.3%
서 114
 
7.2%
울 114
 
7.2%
특 114
 
7.2%
별 114
 
7.2%
시 114
 
7.2%
번 100
 
6.3%
지 100
 
6.3%
Other values (62) 289
18.3%
Decimal Number
ValueCountFrequency (%)
1 104
24.0%
2 58
13.4%
4 45
10.4%
3 43
9.9%
6 42
9.7%
5 36
 
8.3%
7 32
 
7.4%
0 30
 
6.9%
8 26
 
6.0%
9 18
 
4.1%
Space Separator
ValueCountFrequency (%)
605
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1582
60.1%
Common 1050
39.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 262
16.6%
로 146
9.2%
동 115
 
7.3%
서 114
 
7.2%
울 114
 
7.2%
특 114
 
7.2%
별 114
 
7.2%
시 114
 
7.2%
번 100
 
6.3%
지 100
 
6.3%
Other values (62) 289
18.3%
Common
ValueCountFrequency (%)
605
57.6%
1 104
 
9.9%
2 58
 
5.5%
4 45
 
4.3%
3 43
 
4.1%
6 42
 
4.0%
5 36
 
3.4%
7 32
 
3.0%
0 30
 
2.9%
8 26
 
2.5%
Other values (4) 29
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1582
60.1%
ASCII 1050
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
605
57.6%
1 104
 
9.9%
2 58
 
5.5%
4 45
 
4.3%
3 43
 
4.1%
6 42
 
4.0%
5 36
 
3.4%
7 32
 
3.0%
0 30
 
2.9%
8 26
 
2.5%
Other values (4) 29
 
2.8%
Hangul
ValueCountFrequency (%)
구 262
16.6%
로 146
9.2%
동 115
 
7.3%
서 114
 
7.2%
울 114
 
7.2%
특 114
 
7.2%
별 114
 
7.2%
시 114
 
7.2%
번 100
 
6.3%
지 100
 
6.3%
Other values (62) 289
18.3%

도로명주소
Text

MISSING 

Distinct58
Distinct (%)98.3%
Missing55
Missing (%)48.2%
Memory size1.0 KiB
2024-05-11T17:04:46.781422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length27.915254
Min length22

Characters and Unicode

Total characters1647
Distinct characters112
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

Unique57 ?
Unique (%)96.6%

Sample

1st row서울특별시 구로구 가마산로27길 17 (구로동, 영림중학교)
2nd row서울특별시 구로구 가마산로 245 (구로동)
3rd row서울특별시 구로구 오리로 1355-10 (궁동, 서서울생활과학고등학교)
4th row서울특별시 구로구 오리로 1265 (궁동, 우신빌라)
5th row서울특별시 구로구 구로중앙로 198 (구로동)
ValueCountFrequency (%)
서울특별시 59
18.4%
구로구 59
18.4%
구로동 16
 
5.0%
궁동 14
 
4.4%
경인로 9
 
2.8%
개봉동 8
 
2.5%
고척동 8
 
2.5%
오류동 6
 
1.9%
부일로 5
 
1.6%
항동 4
 
1.2%
Other values (115) 132
41.2%
2024-05-11T17:04:47.236681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
261
 
15.8%
구 143
 
8.7%
로 142
 
8.6%
동 69
 
4.2%
서 64
 
3.9%
울 62
 
3.8%
) 61
 
3.7%
( 61
 
3.7%
시 60
 
3.6%
별 59
 
3.6%
Other values (102) 665
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1011
61.4%
Space Separator 261
 
15.8%
Decimal Number 217
 
13.2%
Close Punctuation 61
 
3.7%
Open Punctuation 61
 
3.7%
Other Punctuation 25
 
1.5%
Dash Punctuation 11
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 143
14.1%
로 142
14.0%
동 69
 
6.8%
서 64
 
6.3%
울 62
 
6.1%
시 60
 
5.9%
별 59
 
5.8%
특 59
 
5.8%
길 29
 
2.9%
고 19
 
1.9%
Other values (87) 305
30.2%
Decimal Number
ValueCountFrequency (%)
1 44
20.3%
2 42
19.4%
3 21
9.7%
5 20
9.2%
7 20
9.2%
8 17
 
7.8%
4 15
 
6.9%
9 15
 
6.9%
6 13
 
6.0%
0 10
 
4.6%
Space Separator
ValueCountFrequency (%)
261
100.0%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1011
61.4%
Common 636
38.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 143
14.1%
로 142
14.0%
동 69
 
6.8%
서 64
 
6.3%
울 62
 
6.1%
시 60
 
5.9%
별 59
 
5.8%
특 59
 
5.8%
길 29
 
2.9%
고 19
 
1.9%
Other values (87) 305
30.2%
Common
ValueCountFrequency (%)
261
41.0%
) 61
 
9.6%
( 61
 
9.6%
1 44
 
6.9%
2 42
 
6.6%
, 25
 
3.9%
3 21
 
3.3%
5 20
 
3.1%
7 20
 
3.1%
8 17
 
2.7%
Other values (5) 64
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1011
61.4%
ASCII 636
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
261
41.0%
) 61
 
9.6%
( 61
 
9.6%
1 44
 
6.9%
2 42
 
6.6%
, 25
 
3.9%
3 21
 
3.3%
5 20
 
3.1%
7 20
 
3.1%
8 17
 
2.7%
Other values (5) 64
 
10.1%
Hangul
ValueCountFrequency (%)
구 143
14.1%
로 142
14.0%
동 69
 
6.8%
서 64
 
6.3%
울 62
 
6.1%
시 60
 
5.9%
별 59
 
5.8%
특 59
 
5.8%
길 29
 
2.9%
고 19
 
1.9%
Other values (87) 305
30.2%

도로명우편번호
Text

MISSING 

Distinct47
Distinct (%)79.7%
Missing55
Missing (%)48.2%
Memory size1.0 KiB
2024-05-11T17:04:47.483635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.5932203
Min length5

Characters and Unicode

Total characters330
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

Unique38 ?
Unique (%)64.4%

Sample

1st row08299
2nd row152701
3rd row08248
4th row08257
5th row152723
ValueCountFrequency (%)
08249 4
 
6.8%
152140 3
 
5.1%
152826 2
 
3.4%
08218 2
 
3.4%
152723 2
 
3.4%
08255 2
 
3.4%
152894 2
 
3.4%
152880 2
 
3.4%
08250 2
 
3.4%
152882 1
 
1.7%
Other values (37) 37
62.7%
2024-05-11T17:04:47.936700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 68
20.6%
8 62
18.8%
5 47
14.2%
1 45
13.6%
0 43
13.0%
4 18
 
5.5%
7 14
 
4.2%
9 13
 
3.9%
6 8
 
2.4%
3 8
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 326
98.8%
Dash Punctuation 4
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 68
20.9%
8 62
19.0%
5 47
14.4%
1 45
13.8%
0 43
13.2%
4 18
 
5.5%
7 14
 
4.3%
9 13
 
4.0%
6 8
 
2.5%
3 8
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 330
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 68
20.6%
8 62
18.8%
5 47
14.2%
1 45
13.6%
0 43
13.0%
4 18
 
5.5%
7 14
 
4.2%
9 13
 
3.9%
6 8
 
2.4%
3 8
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 330
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 68
20.6%
8 62
18.8%
5 47
14.2%
1 45
13.6%
0 43
13.0%
4 18
 
5.5%
7 14
 
4.2%
9 13
 
3.9%
6 8
 
2.4%
3 8
 
2.4%

사업장명
Text

Distinct75
Distinct (%)65.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-05-11T17:04:48.253771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length14.27193
Min length3

Characters and Unicode

Total characters1627
Distinct characters165
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

Unique73 ?
Unique (%)64.0%

Sample

1st row구로구 민방위비상급수시설(영림중학교)
2nd row구로구 민방위비상급수시설(구로구청)
3rd row구로구 민방위비상급수시설(서서울생활과학고)
4th row구로구 민방위비상급수시설(우신목욕탕)
5th row구로구 민방위비상급수시설
ValueCountFrequency (%)
구로구 78
38.8%
민방위비상급수시설 38
18.9%
비상급수시설 4
 
2.0%
비상급수시설(원동빌딩 1
 
0.5%
현대오일뱅크(주 1
 
0.5%
미소들 1
 
0.5%
주 1
 
0.5%
주)미소들 1
 
0.5%
이의훈 1
 
0.5%
명품풀가마 1
 
0.5%
Other values (74) 74
36.8%
2024-05-11T17:04:48.716968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 164
 
10.1%
상 93
 
5.7%
수 93
 
5.7%
시 93
 
5.7%
설 89
 
5.5%
비 88
 
5.4%
급 88
 
5.4%
87
 
5.3%
로 82
 
5.0%
민 80
 
4.9%
Other values (155) 670
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1415
87.0%
Space Separator 87
 
5.3%
Close Punctuation 56
 
3.4%
Open Punctuation 56
 
3.4%
Decimal Number 10
 
0.6%
Other Punctuation 2
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 164
 
11.6%
상 93
 
6.6%
수 93
 
6.6%
시 93
 
6.6%
설 89
 
6.3%
비 88
 
6.2%
급 88
 
6.2%
로 82
 
5.8%
민 80
 
5.7%
방 78
 
5.5%
Other values (145) 467
33.0%
Decimal Number
ValueCountFrequency (%)
1 3
30.0%
2 3
30.0%
4 2
20.0%
8 1
 
10.0%
5 1
 
10.0%
Space Separator
ValueCountFrequency (%)
87
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1415
87.0%
Common 212
 
13.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 164
 
11.6%
상 93
 
6.6%
수 93
 
6.6%
시 93
 
6.6%
설 89
 
6.3%
비 88
 
6.2%
급 88
 
6.2%
로 82
 
5.8%
민 80
 
5.7%
방 78
 
5.5%
Other values (145) 467
33.0%
Common
ValueCountFrequency (%)
87
41.0%
) 56
26.4%
( 56
26.4%
1 3
 
1.4%
2 3
 
1.4%
4 2
 
0.9%
, 2
 
0.9%
8 1
 
0.5%
- 1
 
0.5%
5 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1415
87.0%
ASCII 212
 
13.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 164
 
11.6%
상 93
 
6.6%
수 93
 
6.6%
시 93
 
6.6%
설 89
 
6.3%
비 88
 
6.2%
급 88
 
6.2%
로 82
 
5.8%
민 80
 
5.7%
방 78
 
5.5%
Other values (145) 467
33.0%
ASCII
ValueCountFrequency (%)
87
41.0%
) 56
26.4%
( 56
26.4%
1 3
 
1.4%
2 3
 
1.4%
4 2
 
0.9%
, 2
 
0.9%
8 1
 
0.5%
- 1
 
0.5%
5 1
 
0.5%

최종수정일자
Date

Distinct99
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2005-07-15 00:00:00
Maximum2024-02-21 10:33:41
2024-05-11T17:04:48.893773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:04:49.060328image/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
66 
U
48 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 66
57.9%
U 48
42.1%

Length

2024-05-11T17:04:49.231716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:49.353752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 66
57.9%
u 48
42.1%

데이터갱신일자
Date

Distinct19
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-01 22:03:00
2024-05-11T17:04:49.462372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:04:49.605575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)96.7%
Missing54
Missing (%)47.4%
Infinite0
Infinite (%)0.0%
Mean187011.36
Minimum184024.86
Maximum191205.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T17:04:49.788254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum184024.86
5-th percentile184342.63
Q1184949.88
median186456.43
Q3189174.72
95-th percentile190376.11
Maximum191205.79
Range7180.9283
Interquartile range (IQR)4224.835

Descriptive statistics

Standard deviation2214.2143
Coefficient of variation (CV)0.011839999
Kurtosis-1.2865207
Mean187011.36
Median Absolute Deviation (MAD)1632.313
Skewness0.36328463
Sum11220682
Variance4902745.1
MonotonicityNot monotonic
2024-05-11T17:04:49.964226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187798.86926511 2
 
1.8%
189133.785005948 2
 
1.8%
185117.161186807 1
 
0.9%
184221.321120883 1
 
0.9%
184874.479510795 1
 
0.9%
191020.468454034 1
 
0.9%
187888.272226034 1
 
0.9%
191020.264430044 1
 
0.9%
189047.773084017 1
 
0.9%
185884.744012457 1
 
0.9%
Other values (48) 48
42.1%
(Missing) 54
47.4%
ValueCountFrequency (%)
184024.863287843 1
0.9%
184182.990548393 1
0.9%
184221.321120883 1
0.9%
184349.011284786 1
0.9%
184365.476646051 1
0.9%
184381.592473469 1
0.9%
184457.791730837 1
0.9%
184583.748628045 1
0.9%
184598.581074864 1
0.9%
184664.090902265 1
0.9%
ValueCountFrequency (%)
191205.791543965 1
0.9%
191020.468454034 1
0.9%
191020.264430044 1
0.9%
190342.202865002 1
0.9%
190256.72780494 1
0.9%
190137.271749087 1
0.9%
190022.005113179 1
0.9%
189995.347071014 1
0.9%
189839.037397326 1
0.9%
189772.876108997 1
0.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)96.7%
Missing54
Missing (%)47.4%
Infinite0
Infinite (%)0.0%
Mean443728.87
Minimum441796.53
Maximum445262.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T17:04:50.156107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441796.53
5-th percentile442088.11
Q1443213.89
median443753.79
Q3444446.2
95-th percentile444785.22
Maximum445262.49
Range3465.9688
Interquartile range (IQR)1232.3039

Descriptive statistics

Standard deviation815.302
Coefficient of variation (CV)0.0018373878
Kurtosis-0.25781674
Mean443728.87
Median Absolute Deviation (MAD)621.01365
Skewness-0.53026721
Sum26623732
Variance664717.35
MonotonicityNot monotonic
2024-05-11T17:04:50.341435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444629.704821749 2
 
1.8%
444562.755976432 2
 
1.8%
444226.588792692 1
 
0.9%
442645.731582689 1
 
0.9%
444112.669240981 1
 
0.9%
442095.3475487 1
 
0.9%
443955.614464686 1
 
0.9%
442460.919021593 1
 
0.9%
444715.218537294 1
 
0.9%
444536.915882661 1
 
0.9%
Other values (48) 48
42.1%
(Missing) 54
47.4%
ValueCountFrequency (%)
441796.525092799 1
0.9%
441923.890081376 1
0.9%
441950.549879579 1
0.9%
442095.3475487 1
0.9%
442398.056827727 1
0.9%
442460.919021593 1
0.9%
442645.731582689 1
0.9%
442760.844367108 1
0.9%
442887.995540127 1
0.9%
442912.030216598 1
0.9%
ValueCountFrequency (%)
445262.493847028 1
0.9%
444951.0704742 1
0.9%
444801.585741294 1
0.9%
444784.359874224 1
0.9%
444715.218537294 1
0.9%
444629.704821749 2
1.8%
444626.10525858 1
0.9%
444562.755976432 2
1.8%
444536.915882661 1
0.9%
444512.003730625 1
0.9%

비상시설위치
Text

MISSING 

Distinct88
Distinct (%)95.7%
Missing22
Missing (%)19.3%
Memory size1.0 KiB
2024-05-11T17:04:50.690045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27
Mean length23.532609
Min length16

Characters and Unicode

Total characters2165
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

Unique84 ?
Unique (%)91.3%

Sample

1st row서울특별시 구로구 구로동 105번지 2호
2nd row서울특별시 구로구 구로동 435번지
3rd row서울특별시 구로구 구로동 685번지 124 호
4th row서울특별시 구로구 구로동 237-10 삼화인쇄
5th row서울특별시 구로구 구로동 105
ValueCountFrequency (%)
서울특별시 92
19.1%
구로구 92
19.1%
호 37
 
7.7%
구로동 30
 
6.2%
고척동 19
 
4.0%
오류동 12
 
2.5%
개봉동 8
 
1.7%
궁동 8
 
1.7%
1호 8
 
1.7%
항동 8
 
1.7%
Other values (125) 167
34.7%
2024-05-11T17:04:51.218320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
521
24.1%
구 216
 
10.0%
로 122
 
5.6%
동 93
 
4.3%
서 92
 
4.2%
특 92
 
4.2%
별 92
 
4.2%
시 92
 
4.2%
울 92
 
4.2%
1 85
 
3.9%
Other values (67) 668
30.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1286
59.4%
Space Separator 521
24.1%
Decimal Number 352
 
16.3%
Dash Punctuation 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 216
16.8%
로 122
9.5%
동 93
 
7.2%
서 92
 
7.2%
특 92
 
7.2%
별 92
 
7.2%
시 92
 
7.2%
울 92
 
7.2%
지 81
 
6.3%
번 81
 
6.3%
Other values (55) 233
18.1%
Decimal Number
ValueCountFrequency (%)
1 85
24.1%
2 46
13.1%
6 41
11.6%
3 36
10.2%
4 34
 
9.7%
5 27
 
7.7%
0 24
 
6.8%
7 24
 
6.8%
8 22
 
6.2%
9 13
 
3.7%
Space Separator
ValueCountFrequency (%)
521
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1286
59.4%
Common 879
40.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 216
16.8%
로 122
9.5%
동 93
 
7.2%
서 92
 
7.2%
특 92
 
7.2%
별 92
 
7.2%
시 92
 
7.2%
울 92
 
7.2%
지 81
 
6.3%
번 81
 
6.3%
Other values (55) 233
18.1%
Common
ValueCountFrequency (%)
521
59.3%
1 85
 
9.7%
2 46
 
5.2%
6 41
 
4.7%
3 36
 
4.1%
4 34
 
3.9%
5 27
 
3.1%
0 24
 
2.7%
7 24
 
2.7%
8 22
 
2.5%
Other values (2) 19
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1286
59.4%
ASCII 879
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
521
59.3%
1 85
 
9.7%
2 46
 
5.2%
6 41
 
4.7%
3 36
 
4.1%
4 34
 
3.9%
5 27
 
3.1%
0 24
 
2.7%
7 24
 
2.7%
8 22
 
2.5%
Other values (2) 19
 
2.2%
Hangul
ValueCountFrequency (%)
구 216
16.8%
로 122
9.5%
동 93
 
7.2%
서 92
 
7.2%
특 92
 
7.2%
별 92
 
7.2%
시 92
 
7.2%
울 92
 
7.2%
지 81
 
6.3%
번 81
 
6.3%
Other values (55) 233
18.1%

시설구분명
Categorical

Distinct5
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
민간시설
83 
<NA>
22 
공공시설
 
6
정부지원시설
 
2
자치단체자체시설
 
1

Length

Max length8
Median length4
Mean length4.0701754
Min length4

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
민간시설 83
72.8%
<NA> 22
 
19.3%
공공시설 6
 
5.3%
정부지원시설 2
 
1.8%
자치단체자체시설 1
 
0.9%

Length

2024-05-11T17:04:51.398276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:51.547874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간시설 83
72.8%
na 22
 
19.3%
공공시설 6
 
5.3%
정부지원시설 2
 
1.8%
자치단체자체시설 1
 
0.9%

시설명_건물명
Text

MISSING 

Distinct53
Distinct (%)57.6%
Missing22
Missing (%)19.3%
Memory size1.0 KiB
2024-05-11T17:04:51.794088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length29
Mean length14.456522
Min length3

Characters and Unicode

Total characters1330
Distinct characters128
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

Unique51 ?
Unique (%)55.4%

Sample

1st row구로구 민방위비상급수시설(영림중학교)
2nd row구로구 민방위비상급수시설(구로구청)
3rd row구로구 민방위비상급수시설
4th row구로구 민방위비상급수시설
5th row구로구 민방위비상급수시설
ValueCountFrequency (%)
구로구 70
41.4%
민방위비상급수시설 38
22.5%
비상급수시설 4
 
2.4%
세차장(공원세차장 1
 
0.6%
비상급수시설(남구로역 1
 
0.6%
영등포교도소 1
 
0.6%
민방위비상급수시설(영림중학교 1
 
0.6%
현대오일뱅크(주 1
 
0.6%
민방위비상급수시설(청보장 1
 
0.6%
민방위비상급수시설(대성빌딩 1
 
0.6%
Other values (50) 50
29.6%
2024-05-11T17:04:52.593813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 148
 
11.1%
상 82
 
6.2%
시 81
 
6.1%
수 80
 
6.0%
설 78
 
5.9%
비 77
 
5.8%
급 77
 
5.8%
77
 
5.8%
로 74
 
5.6%
민 71
 
5.3%
Other values (118) 485
36.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1156
86.9%
Space Separator 77
 
5.8%
Close Punctuation 42
 
3.2%
Open Punctuation 42
 
3.2%
Decimal Number 10
 
0.8%
Other Punctuation 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 148
12.8%
상 82
 
7.1%
시 81
 
7.0%
수 80
 
6.9%
설 78
 
6.7%
비 77
 
6.7%
급 77
 
6.7%
로 74
 
6.4%
민 71
 
6.1%
위 69
 
6.0%
Other values (108) 319
27.6%
Decimal Number
ValueCountFrequency (%)
1 3
30.0%
2 3
30.0%
4 2
20.0%
8 1
 
10.0%
5 1
 
10.0%
Space Separator
ValueCountFrequency (%)
77
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1156
86.9%
Common 174
 
13.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 148
12.8%
상 82
 
7.1%
시 81
 
7.0%
수 80
 
6.9%
설 78
 
6.7%
비 77
 
6.7%
급 77
 
6.7%
로 74
 
6.4%
민 71
 
6.1%
위 69
 
6.0%
Other values (108) 319
27.6%
Common
ValueCountFrequency (%)
77
44.3%
) 42
24.1%
( 42
24.1%
1 3
 
1.7%
2 3
 
1.7%
, 2
 
1.1%
4 2
 
1.1%
- 1
 
0.6%
8 1
 
0.6%
5 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1156
86.9%
ASCII 174
 
13.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 148
12.8%
상 82
 
7.1%
시 81
 
7.0%
수 80
 
6.9%
설 78
 
6.7%
비 77
 
6.7%
급 77
 
6.7%
로 74
 
6.4%
민 71
 
6.1%
위 69
 
6.0%
Other values (108) 319
27.6%
ASCII
ValueCountFrequency (%)
77
44.3%
) 42
24.1%
( 42
24.1%
1 3
 
1.7%
2 3
 
1.7%
, 2
 
1.1%
4 2
 
1.1%
- 1
 
0.6%
8 1
 
0.6%
5 1
 
0.6%

해제일자
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)43.7%
Missing43
Missing (%)37.7%
Infinite0
Infinite (%)0.0%
Mean20099552
Minimum20050101
Maximum20211207
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T17:04:52.748333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050101
5-th percentile20050101
Q120061026
median20080519
Q320140702
95-th percentile20185466
Maximum20211207
Range161106
Interquartile range (IQR)79675.5

Descriptive statistics

Standard deviation43856.387
Coefficient of variation (CV)0.0021819584
Kurtosis-0.32340671
Mean20099552
Median Absolute Deviation (MAD)20106
Skewness0.84891671
Sum1.4270682 × 109
Variance1.9233826 × 109
MonotonicityNot monotonic
2024-05-11T17:04:52.906739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
20061026 10
 
8.8%
20050101 6
 
5.3%
20071210 5
 
4.4%
20140702 4
 
3.5%
20081029 4
 
3.5%
20080212 4
 
3.5%
20140703 4
 
3.5%
20080516 3
 
2.6%
20160318 3
 
2.6%
20061106 3
 
2.6%
Other values (21) 25
21.9%
(Missing) 43
37.7%
ValueCountFrequency (%)
20050101 6
5.3%
20060111 1
 
0.9%
20060413 1
 
0.9%
20061026 10
8.8%
20061027 1
 
0.9%
20061106 3
 
2.6%
20070704 1
 
0.9%
20071210 5
4.4%
20080212 4
 
3.5%
20080516 3
 
2.6%
ValueCountFrequency (%)
20211207 1
 
0.9%
20211102 1
 
0.9%
20190312 1
 
0.9%
20190125 1
 
0.9%
20180807 1
 
0.9%
20161026 1
 
0.9%
20160318 3
2.6%
20160307 1
 
0.9%
20151029 1
 
0.9%
20140703 4
3.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
031600003160000-E19800000219801201<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>216.0<NA>서울특별시 구로구 구로동 105번지 2호서울특별시 구로구 가마산로27길 17 (구로동, 영림중학교)08299구로구 민방위비상급수시설(영림중학교)2020-02-06 08:08:44U2020-02-08 02:40:00.0<NA>190256.727805443943.253423서울특별시 구로구 구로동 105번지 2호정부지원시설구로구 민방위비상급수시설(영림중학교)<NA>
131600003160000-E19820000119821201<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>300.0<NA>서울특별시 구로구 구로동 435번지서울특별시 구로구 가마산로 245 (구로동)152701구로구 민방위비상급수시설(구로구청)2020-12-14 08:45:04U2020-12-16 02:40:00.0<NA>189995.347071443682.330616서울특별시 구로구 구로동 435번지정부지원시설구로구 민방위비상급수시설(구로구청)<NA>
231600003160000-E19850000119851227<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>354.0<NA>서울특별시 구로구 궁동 35번지서울특별시 구로구 오리로 1355-10 (궁동, 서서울생활과학고등학교)08248구로구 민방위비상급수시설(서서울생활과학고)2022-06-15 09:53:30U2021-12-05 23:07:00.0<NA>184750.043606444626.105259<NA><NA><NA><NA>
331600003160000-E19890000119891201<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>80.0<NA>서울특별시 구로구 궁동 213번지 21호서울특별시 구로구 오리로 1265 (궁동, 우신빌라)08257구로구 민방위비상급수시설(우신목욕탕)2022-06-15 09:53:12U2021-12-05 23:07:00.0<NA>184941.706201443572.873488<NA><NA><NA><NA>
431600003160000-E19940000119941224200611064취소/말소/만료/정지/중지19사용중지20061106<NA><NA><NA><NA>50.0<NA>서울특별시 구로구 구로동 685번지 124 호<NA><NA>구로구 민방위비상급수시설2007-07-31 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 구로구 구로동 685번지 124 호민간시설구로구 민방위비상급수시설20061106
531600003160000-E19940000219941201200610264취소/말소/만료/정지/중지19사용중지20061026<NA><NA><NA><NA>220.0<NA>서울특별시 구로구 구로동 237-10 삼화인쇄<NA><NA>구로구 민방위비상급수시설2006-10-26 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 구로구 구로동 237-10 삼화인쇄민간시설구로구 민방위비상급수시설20061026
631600003160000-E19940000319941231200610264취소/말소/만료/정지/중지19사용중지20061026<NA><NA><NA><NA>432.0<NA>서울특별시 구로구 구로동 105<NA><NA>구로구 민방위비상급수시설2006-10-26 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 구로구 구로동 105민간시설구로구 민방위비상급수시설20061026
731600003160000-E19940000419941201201303114취소/말소/만료/정지/중지19사용중지20130311<NA><NA><NA><NA>97.0<NA>서울특별시 구로구 구로동 111번지 43 호<NA><NA>구로구 민방위비상급수시설(운정탕)2013-03-28 18:30:29I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 구로구 구로동 111번지 43 호민간시설구로구 민방위비상급수시설(운정탕)20130311
831600003160000-E19940000519941201<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>200.0<NA>서울특별시 구로구 구로동 606번지 1호서울특별시 구로구 구로중앙로 198 (구로동)152723구로구 민방위비상급수시설(구로기계공구상가1, 24동)2020-02-06 08:01:13U2020-02-08 02:40:00.0<NA>189133.785006444562.755976서울특별시 구로구 구로동 606번지 1호민간시설구로구 민방위비상급수시설(구로기계공구상가1, 24동)<NA>
931600003160000-E19940000619941201<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>200.0<NA>서울특별시 구로구 구로동 606번지 1호서울특별시 구로구 구로중앙로 198 (구로동)152723구로구 민방위비상급수시설(구로기계공구상가2, 8동 앞)2020-02-06 08:02:30U2020-02-08 02:40:00.0<NA>189133.785006444562.755976서울특별시 구로구 구로동 606번지 1호민간시설구로구 민방위비상급수시설(구로기계공구상가2, 8동 앞)<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
10431600003160000-E20110000320110809<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>43.0<NA>서울특별시 구로구 오류동 38번지 1호서울특별시 구로구 경인로23길 8 (오류동, 대서프라자)08268오류24시 한증막사우나2020-02-06 08:21:30U2020-02-08 02:40:00.0<NA>186143.039451443851.276038서울특별시 구로구 오류동 38번지 1호민간시설오류24시 한증막사우나<NA>
10531600003160000-E20130000120130624<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>66.0<NA>서울특별시 구로구 개봉동 471번지서울특별시 구로구 남부순환로95길 16 (개봉동)152818개봉사우나2022-11-15 15:01:26U2021-10-31 23:07:00.0<NA>187307.924981443578.666315<NA><NA><NA><NA>
10631600003160000-E2013000022013-06-24<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>72.3<NA>서울특별시 구로구 온수동 59번지 18호서울특별시 구로구 부일로 833 (온수동)152-906동진콜택시 주식회사2024-02-21 10:33:41U2023-12-01 22:03:00.0<NA>184024.863288443226.263009<NA><NA><NA><NA>
10731600003160000-E20170000120171025<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>102.0<NA>서울특별시 구로구 궁동 42번지 4호<NA><NA>궁동생태공원2022-06-15 09:48:05U2021-12-05 23:07:00.0<NA>184786.344086444359.694847<NA><NA><NA><NA>
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