Overview

Dataset statistics

Number of variables29
Number of observations90
Missing cells848
Missing cells (%)32.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.8 KiB
Average record size in memory247.5 B

Variable types

Categorical7
Text6
DateTime5
Unsupported6
Numeric5

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
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-20008/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 36 (40.0%) missing valuesMissing
폐업일자 has 36 (40.0%) missing valuesMissing
휴업시작일자 has 90 (100.0%) missing valuesMissing
휴업종료일자 has 90 (100.0%) missing valuesMissing
재개업일자 has 90 (100.0%) missing valuesMissing
전화번호 has 90 (100.0%) missing valuesMissing
소재지우편번호 has 90 (100.0%) missing valuesMissing
도로명주소 has 30 (33.3%) missing valuesMissing
도로명우편번호 has 41 (45.6%) missing valuesMissing
업태구분명 has 90 (100.0%) missing valuesMissing
좌표정보(X) has 31 (34.4%) missing valuesMissing
좌표정보(Y) has 31 (34.4%) missing valuesMissing
비상시설위치 has 31 (34.4%) missing valuesMissing
시설명_건물명 has 31 (34.4%) missing valuesMissing
해제일자 has 41 (45.6%) 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 06:34:47.132752
Analysis finished2024-05-11 06:34:48.098421
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size852.0 B
3060000
90 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3060000
2nd row3060000
3rd row3060000
4th row3060000
5th row3060000

Common Values

ValueCountFrequency (%)
3060000 90
100.0%

Length

2024-05-11T15:34:48.220039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:34:48.446882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 90
100.0%

관리번호
Text

UNIQUE 

Distinct90
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size852.0 B
2024-05-11T15:34:48.840748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters1620
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

Unique90 ?
Unique (%)100.0%

Sample

1st row3060000-E197700001
2nd row3060000-E197800001
3rd row3060000-E198400002
4th row3060000-E198400003
5th row3060000-E198400004
ValueCountFrequency (%)
3060000-e197700001 1
 
1.1%
3060000-e201300004 1
 
1.1%
3060000-e201300002 1
 
1.1%
3060000-e201300001 1
 
1.1%
3060000-e200800009 1
 
1.1%
3060000-e200800008 1
 
1.1%
3060000-e200800007 1
 
1.1%
3060000-e200800005 1
 
1.1%
3060000-e200800004 1
 
1.1%
3060000-e200800003 1
 
1.1%
Other values (80) 80
88.9%
2024-05-11T15:34:49.539323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 886
54.7%
3 116
 
7.2%
6 100
 
6.2%
- 90
 
5.6%
E 90
 
5.6%
1 85
 
5.2%
2 79
 
4.9%
9 77
 
4.8%
8 41
 
2.5%
4 25
 
1.5%
Other values (2) 31
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1440
88.9%
Dash Punctuation 90
 
5.6%
Uppercase Letter 90
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 886
61.5%
3 116
 
8.1%
6 100
 
6.9%
1 85
 
5.9%
2 79
 
5.5%
9 77
 
5.3%
8 41
 
2.8%
4 25
 
1.7%
7 16
 
1.1%
5 15
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 90
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 90
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1530
94.4%
Latin 90
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 886
57.9%
3 116
 
7.6%
6 100
 
6.5%
- 90
 
5.9%
1 85
 
5.6%
2 79
 
5.2%
9 77
 
5.0%
8 41
 
2.7%
4 25
 
1.6%
7 16
 
1.0%
Latin
ValueCountFrequency (%)
E 90
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1620
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 886
54.7%
3 116
 
7.2%
6 100
 
6.2%
- 90
 
5.6%
E 90
 
5.6%
1 85
 
5.2%
2 79
 
4.9%
9 77
 
4.8%
8 41
 
2.5%
4 25
 
1.5%
Other values (2) 31
 
1.9%

인허가일자
Date

Distinct59
Distinct (%)65.6%
Missing0
Missing (%)0.0%
Memory size852.0 B
Minimum1977-12-20 00:00:00
Maximum2020-05-28 00:00:00
2024-05-11T15:34:49.858562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:34:50.168326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct40
Distinct (%)74.1%
Missing36
Missing (%)40.0%
Memory size852.0 B
Minimum2004-06-10 00:00:00
Maximum2024-02-27 00:00:00
2024-05-11T15:34:50.461150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:34:50.702995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

영업상태코드
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size852.0 B
4
54 
1
36 

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 54
60.0%
1 36
40.0%

Length

2024-05-11T15:34:50.964435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:34:51.181733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 54
60.0%
1 36
40.0%

영업상태명
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size852.0 B
취소/말소/만료/정지/중지
54 
영업/정상
36 

Length

Max length14
Median length14
Mean length10.4
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 54
60.0%
영업/정상 36
40.0%

Length

2024-05-11T15:34:51.471124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:34:51.773377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취소/말소/만료/정지/중지 54
60.0%
영업/정상 36
40.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size852.0 B
19
54 
18
36 

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 54
60.0%
18 36
40.0%

Length

2024-05-11T15:34:52.043978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:34:52.275316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19 54
60.0%
18 36
40.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size852.0 B
사용중지
54 
사용중
36 

Length

Max length4
Median length4
Mean length3.6
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용중지 54
60.0%
사용중 36
40.0%

Length

2024-05-11T15:34:52.485437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:34:52.664381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중지 54
60.0%
사용중 36
40.0%

폐업일자
Date

MISSING 

Distinct40
Distinct (%)74.1%
Missing36
Missing (%)40.0%
Memory size852.0 B
Minimum2004-06-10 00:00:00
Maximum2024-02-27 00:00:00
2024-05-11T15:34:52.897697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:34:53.229763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

소재지면적
Real number (ℝ)

Distinct43
Distinct (%)47.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean147.04889
Minimum30
Maximum1929
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size942.0 B
2024-05-11T15:34:53.524498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile50
Q168.5
median84
Q3100
95-th percentile377.5
Maximum1929
Range1899
Interquartile range (IQR)31.5

Descriptive statistics

Standard deviation261.32544
Coefficient of variation (CV)1.777133
Kurtosis30.349456
Mean147.04889
Median Absolute Deviation (MAD)16
Skewness5.2634536
Sum13234.4
Variance68290.984
MonotonicityNot monotonic
2024-05-11T15:34:54.320430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
100.0 9
 
10.0%
53.0 6
 
6.7%
70.0 6
 
6.7%
80.0 5
 
5.6%
50.0 5
 
5.6%
90.0 4
 
4.4%
150.0 4
 
4.4%
79.0 4
 
4.4%
57.0 3
 
3.3%
86.0 3
 
3.3%
Other values (33) 41
45.6%
ValueCountFrequency (%)
30.0 2
 
2.2%
43.0 1
 
1.1%
50.0 5
5.6%
53.0 6
6.7%
57.0 3
3.3%
60.0 1
 
1.1%
61.0 1
 
1.1%
65.0 2
 
2.2%
66.0 1
 
1.1%
68.0 1
 
1.1%
ValueCountFrequency (%)
1929.0 1
1.1%
1411.0 1
1.1%
878.0 1
1.1%
620.0 1
1.1%
400.0 1
1.1%
350.0 1
1.1%
288.0 1
1.1%
280.0 1
1.1%
270.0 1
1.1%
180.0 1
1.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

지번주소
Text

Distinct89
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size852.0 B
2024-05-11T15:34:54.765099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length31
Mean length23.477778
Min length17

Characters and Unicode

Total characters2113
Distinct characters88
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

Unique88 ?
Unique (%)97.8%

Sample

1st row서울특별시 중랑구 묵동 249번지 2호
2nd row서울특별시 중랑구 면목동 173번지 1호
3rd row서울특별시 중랑구 묵동 181번지 4 호
4th row서울특별시 중랑구 면목동 343번지 19 호
5th row서울특별시 중랑구 상봉동 92번지 5호
ValueCountFrequency (%)
서울특별시 90
19.3%
중랑구 90
19.3%
면목동 25
 
5.4%
망우동 17
 
3.6%
호 14
 
3.0%
상봉동 13
 
2.8%
신내동 12
 
2.6%
중화동 12
 
2.6%
1호 11
 
2.4%
묵동 10
 
2.1%
Other values (135) 172
36.9%
2024-05-11T15:34:55.560845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
428
20.3%
중 102
 
4.8%
동 94
 
4.4%
구 92
 
4.4%
서 91
 
4.3%
울 91
 
4.3%
시 90
 
4.3%
랑 90
 
4.3%
별 90
 
4.3%
특 90
 
4.3%
Other values (78) 855
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1315
62.2%
Space Separator 428
 
20.3%
Decimal Number 360
 
17.0%
Dash Punctuation 8
 
0.4%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 102
 
7.8%
동 94
 
7.1%
구 92
 
7.0%
서 91
 
6.9%
울 91
 
6.9%
시 90
 
6.8%
랑 90
 
6.8%
별 90
 
6.8%
특 90
 
6.8%
번 82
 
6.2%
Other values (64) 403
30.6%
Decimal Number
ValueCountFrequency (%)
1 63
17.5%
2 51
14.2%
4 49
13.6%
3 42
11.7%
8 32
8.9%
9 28
7.8%
5 27
7.5%
0 25
 
6.9%
7 22
 
6.1%
6 21
 
5.8%
Space Separator
ValueCountFrequency (%)
428
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1315
62.2%
Common 798
37.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 102
 
7.8%
동 94
 
7.1%
구 92
 
7.0%
서 91
 
6.9%
울 91
 
6.9%
시 90
 
6.8%
랑 90
 
6.8%
별 90
 
6.8%
특 90
 
6.8%
번 82
 
6.2%
Other values (64) 403
30.6%
Common
ValueCountFrequency (%)
428
53.6%
1 63
 
7.9%
2 51
 
6.4%
4 49
 
6.1%
3 42
 
5.3%
8 32
 
4.0%
9 28
 
3.5%
5 27
 
3.4%
0 25
 
3.1%
7 22
 
2.8%
Other values (4) 31
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1315
62.2%
ASCII 798
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
428
53.6%
1 63
 
7.9%
2 51
 
6.4%
4 49
 
6.1%
3 42
 
5.3%
8 32
 
4.0%
9 28
 
3.5%
5 27
 
3.4%
0 25
 
3.1%
7 22
 
2.8%
Other values (4) 31
 
3.9%
Hangul
ValueCountFrequency (%)
중 102
 
7.8%
동 94
 
7.1%
구 92
 
7.0%
서 91
 
6.9%
울 91
 
6.9%
시 90
 
6.8%
랑 90
 
6.8%
별 90
 
6.8%
특 90
 
6.8%
번 82
 
6.2%
Other values (64) 403
30.6%

도로명주소
Text

MISSING 

Distinct59
Distinct (%)98.3%
Missing30
Missing (%)33.3%
Memory size852.0 B
2024-05-11T15:34:56.048395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length36
Mean length29.116667
Min length22

Characters and Unicode

Total characters1747
Distinct characters141
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

Unique58 ?
Unique (%)96.7%

Sample

1st row서울특별시 중랑구 중랑역로 137 (묵동, 서울지방경찰서 광역지수대)
2nd row서울특별시 중랑구 동일로95길 29 (면목동, 면목5동제1구립경로당)
3rd row서울특별시 중랑구 망우로 332 (상봉동)
4th row서울특별시 중랑구 중랑역로 82 (중화동)
5th row서울특별시 중랑구 동일로 747 (중화동)
ValueCountFrequency (%)
서울특별시 60
17.6%
중랑구 60
17.6%
면목동 19
 
5.6%
망우동 9
 
2.6%
상봉동 9
 
2.6%
중화동 8
 
2.4%
망우로 8
 
2.4%
신내동 8
 
2.4%
묵동 7
 
2.1%
동일로 5
 
1.5%
Other values (124) 147
43.2%
2024-05-11T15:34:56.976524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
280
 
16.0%
중 81
 
4.6%
동 73
 
4.2%
랑 69
 
3.9%
서 62
 
3.5%
구 62
 
3.5%
울 61
 
3.5%
로 61
 
3.5%
시 60
 
3.4%
별 60
 
3.4%
Other values (131) 878
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1099
62.9%
Space Separator 280
 
16.0%
Decimal Number 207
 
11.8%
Open Punctuation 60
 
3.4%
Close Punctuation 60
 
3.4%
Other Punctuation 36
 
2.1%
Dash Punctuation 3
 
0.2%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 81
 
7.4%
동 73
 
6.6%
랑 69
 
6.3%
서 62
 
5.6%
구 62
 
5.6%
울 61
 
5.6%
로 61
 
5.6%
시 60
 
5.5%
별 60
 
5.5%
특 60
 
5.5%
Other values (114) 450
40.9%
Decimal Number
ValueCountFrequency (%)
1 32
15.5%
3 27
13.0%
7 24
11.6%
2 24
11.6%
5 24
11.6%
9 20
9.7%
4 18
8.7%
0 17
8.2%
6 15
7.2%
8 6
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
280
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 60
100.0%
Other Punctuation
ValueCountFrequency (%)
, 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1099
62.9%
Common 646
37.0%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 81
 
7.4%
동 73
 
6.6%
랑 69
 
6.3%
서 62
 
5.6%
구 62
 
5.6%
울 61
 
5.6%
로 61
 
5.6%
시 60
 
5.5%
별 60
 
5.5%
특 60
 
5.5%
Other values (114) 450
40.9%
Common
ValueCountFrequency (%)
280
43.3%
( 60
 
9.3%
) 60
 
9.3%
, 36
 
5.6%
1 32
 
5.0%
3 27
 
4.2%
7 24
 
3.7%
2 24
 
3.7%
5 24
 
3.7%
9 20
 
3.1%
Other values (5) 59
 
9.1%
Latin
ValueCountFrequency (%)
I 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1099
62.9%
ASCII 648
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
280
43.2%
( 60
 
9.3%
) 60
 
9.3%
, 36
 
5.6%
1 32
 
4.9%
3 27
 
4.2%
7 24
 
3.7%
2 24
 
3.7%
5 24
 
3.7%
9 20
 
3.1%
Other values (7) 61
 
9.4%
Hangul
ValueCountFrequency (%)
중 81
 
7.4%
동 73
 
6.6%
랑 69
 
6.3%
서 62
 
5.6%
구 62
 
5.6%
울 61
 
5.6%
로 61
 
5.6%
시 60
 
5.5%
별 60
 
5.5%
특 60
 
5.5%
Other values (114) 450
40.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)95.9%
Missing41
Missing (%)45.6%
Infinite0
Infinite (%)0.0%
Mean4773.6327
Minimum2006
Maximum131800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size942.0 B
2024-05-11T15:34:57.254554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2006
5-th percentile2013.2
Q12061
median2118
Q32214
95-th percentile2253.2
Maximum131800
Range129794
Interquartile range (IQR)153

Descriptive statistics

Standard deviation18524.859
Coefficient of variation (CV)3.8806628
Kurtosis48.997971
Mean4773.6327
Median Absolute Deviation (MAD)66
Skewness6.9997869
Sum233908
Variance3.431704 × 108
MonotonicityNot monotonic
2024-05-11T15:34:57.604083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
2052 2
 
2.2%
2063 2
 
2.2%
2154 1
 
1.1%
2176 1
 
1.1%
2158 1
 
1.1%
2053 1
 
1.1%
2071 1
 
1.1%
2118 1
 
1.1%
2056 1
 
1.1%
2008 1
 
1.1%
Other values (37) 37
41.1%
(Missing) 41
45.6%
ValueCountFrequency (%)
2006 1
1.1%
2008 1
1.1%
2012 1
1.1%
2015 1
1.1%
2016 1
1.1%
2017 1
1.1%
2044 1
1.1%
2048 1
1.1%
2052 2
2.2%
2053 1
1.1%
ValueCountFrequency (%)
131800 1
1.1%
2263 1
1.1%
2254 1
1.1%
2252 1
1.1%
2249 1
1.1%
2248 1
1.1%
2244 1
1.1%
2242 1
1.1%
2237 1
1.1%
2233 1
1.1%

사업장명
Text

Distinct89
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size852.0 B
2024-05-11T15:34:58.079539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length5.9111111
Min length3

Characters and Unicode

Total characters532
Distinct characters172
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

Unique88 ?
Unique (%)97.8%

Sample

1st row서울지방경찰청 지능범죄수사대
2nd row송계공원
3rd row한전동부지점
4th row영광식품
5th row관순빌딩
ValueCountFrequency (%)
서울북부고속도로(주 2
 
2.1%
송계공원 1
 
1.0%
호계사우나 1
 
1.0%
갑인목욕탕 1
 
1.0%
sk주유소 1
 
1.0%
현대이용원 1
 
1.0%
신내가스충전소 1
 
1.0%
유영빌딩 1
 
1.0%
유성주유소(현대셀프 1
 
1.0%
서울은행전력소 1
 
1.0%
Other values (86) 86
88.7%
2024-05-11T15:34:58.953843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 18
 
3.4%
수 14
 
2.6%
대 13
 
2.4%
탕 12
 
2.3%
우 12
 
2.3%
빌 10
 
1.9%
원 10
 
1.9%
목 9
 
1.7%
스 9
 
1.7%
나 9
 
1.7%
Other values (162) 416
78.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 502
94.4%
Space Separator 7
 
1.3%
Close Punctuation 6
 
1.1%
Open Punctuation 6
 
1.1%
Uppercase Letter 4
 
0.8%
Lowercase Letter 4
 
0.8%
Decimal Number 2
 
0.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 18
 
3.6%
수 14
 
2.8%
대 13
 
2.6%
탕 12
 
2.4%
우 12
 
2.4%
빌 10
 
2.0%
원 10
 
2.0%
목 9
 
1.8%
스 9
 
1.8%
나 9
 
1.8%
Other values (150) 386
76.9%
Lowercase Letter
ValueCountFrequency (%)
g 1
25.0%
s 1
25.0%
d 1
25.0%
b 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
S 2
50.0%
K 1
25.0%
G 1
25.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Decimal Number
ValueCountFrequency (%)
8 2
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 502
94.4%
Common 22
 
4.1%
Latin 8
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 18
 
3.6%
수 14
 
2.8%
대 13
 
2.6%
탕 12
 
2.4%
우 12
 
2.4%
빌 10
 
2.0%
원 10
 
2.0%
목 9
 
1.8%
스 9
 
1.8%
나 9
 
1.8%
Other values (150) 386
76.9%
Latin
ValueCountFrequency (%)
S 2
25.0%
K 1
12.5%
g 1
12.5%
s 1
12.5%
d 1
12.5%
b 1
12.5%
G 1
12.5%
Common
ValueCountFrequency (%)
7
31.8%
) 6
27.3%
( 6
27.3%
8 2
 
9.1%
/ 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 502
94.4%
ASCII 30
 
5.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 18
 
3.6%
수 14
 
2.8%
대 13
 
2.6%
탕 12
 
2.4%
우 12
 
2.4%
빌 10
 
2.0%
원 10
 
2.0%
목 9
 
1.8%
스 9
 
1.8%
나 9
 
1.8%
Other values (150) 386
76.9%
ASCII
ValueCountFrequency (%)
7
23.3%
) 6
20.0%
( 6
20.0%
8 2
 
6.7%
S 2
 
6.7%
K 1
 
3.3%
g 1
 
3.3%
s 1
 
3.3%
d 1
 
3.3%
/ 1
 
3.3%
Other values (2) 2
 
6.7%

최종수정일자
Date

Distinct89
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size852.0 B
Minimum2006-01-12 00:00:00
Maximum2024-03-11 16:34:09
2024-05-11T15:34:59.214414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:34:59.458202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size852.0 B
U
55 
I
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 55
61.1%
I 35
38.9%

Length

2024-05-11T15:34:59.739207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:34:59.936681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 55
61.1%
i 35
38.9%

데이터갱신일자
Date

Distinct35
Distinct (%)38.9%
Missing0
Missing (%)0.0%
Memory size852.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 23:03:00
2024-05-11T15:35:00.149642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:35:00.468439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)96.6%
Missing31
Missing (%)34.4%
Infinite0
Infinite (%)0.0%
Mean207918
Minimum206383.9
Maximum210052.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size942.0 B
2024-05-11T15:35:00.751863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206383.9
5-th percentile206513.99
Q1207086.56
median207651.41
Q3208801.99
95-th percentile209935.28
Maximum210052.65
Range3668.7554
Interquartile range (IQR)1715.4273

Descriptive statistics

Standard deviation1030.1647
Coefficient of variation (CV)0.0049546681
Kurtosis-0.68768022
Mean207918
Median Absolute Deviation (MAD)731.59915
Skewness0.56351277
Sum12267162
Variance1061239.2
MonotonicityNot monotonic
2024-05-11T15:35:00.989277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
209579.612349583 2
 
2.2%
206513.985052412 2
 
2.2%
207639.782742433 1
 
1.1%
207887.586599932 1
 
1.1%
209646.566055908 1
 
1.1%
208821.980069335 1
 
1.1%
208166.970499664 1
 
1.1%
208826.618875741 1
 
1.1%
208848.343319635 1
 
1.1%
208481.612667873 1
 
1.1%
Other values (47) 47
52.2%
(Missing) 31
34.4%
ValueCountFrequency (%)
206383.897778215 1
1.1%
206503.210723891 1
1.1%
206513.985052412 2
2.2%
206655.021274777 1
1.1%
206661.03364855 1
1.1%
206678.215220093 1
1.1%
206823.835294492 1
1.1%
206831.262914749 1
1.1%
206914.129790266 1
1.1%
206919.812817773 1
1.1%
ValueCountFrequency (%)
210052.653214056 1
1.1%
210037.285652163 1
1.1%
209974.137980495 1
1.1%
209930.958670357 1
1.1%
209646.566055908 1
1.1%
209579.612349583 2
2.2%
209217.316962415 1
1.1%
209186.375153863 1
1.1%
209161.802695852 1
1.1%
208877.333730413 1
1.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)96.6%
Missing31
Missing (%)34.4%
Infinite0
Infinite (%)0.0%
Mean455004.87
Minimum452270.97
Maximum457003.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size942.0 B
2024-05-11T15:35:01.357969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452270.97
5-th percentile452688.74
Q1454248.41
median455258.03
Q3455915.1
95-th percentile456863.45
Maximum457003.57
Range4732.6001
Interquartile range (IQR)1666.6866

Descriptive statistics

Standard deviation1277.7152
Coefficient of variation (CV)0.0028081352
Kurtosis-0.61626569
Mean455004.87
Median Absolute Deviation (MAD)818.19491
Skewness-0.45958252
Sum26845287
Variance1632556
MonotonicityNot monotonic
2024-05-11T15:35:01.611935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
455387.99689292 2
 
2.2%
456258.691905562 2
 
2.2%
455657.077363733 1
 
1.1%
454054.079597222 1
 
1.1%
454652.183796953 1
 
1.1%
455257.057086914 1
 
1.1%
454327.924688242 1
 
1.1%
456720.966241515 1
 
1.1%
456872.358630437 1
 
1.1%
455496.980508789 1
 
1.1%
Other values (47) 47
52.2%
(Missing) 31
34.4%
ValueCountFrequency (%)
452270.973732223 1
1.1%
452328.401897025 1
1.1%
452580.012274859 1
1.1%
452700.824066896 1
1.1%
452822.051118591 1
1.1%
452980.036913527 1
1.1%
453059.327474458 1
1.1%
453155.928929722 1
1.1%
453366.468204489 1
1.1%
453525.741161528 1
1.1%
ValueCountFrequency (%)
457003.573816088 1
1.1%
456927.708597041 1
1.1%
456872.358630437 1
1.1%
456862.45524653 1
1.1%
456830.982508048 1
1.1%
456720.966241515 1
1.1%
456605.226394895 1
1.1%
456466.302841444 1
1.1%
456258.691905562 2
2.2%
456244.51720628 1
1.1%

비상시설위치
Text

MISSING 

Distinct59
Distinct (%)100.0%
Missing31
Missing (%)34.4%
Memory size852.0 B
2024-05-11T15:35:02.121888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length31
Mean length23.898305
Min length17

Characters and Unicode

Total characters1410
Distinct characters59
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

Unique59 ?
Unique (%)100.0%

Sample

1st row서울특별시 중랑구 묵동 181번지 4 호
2nd row서울특별시 중랑구 면목동 343번지 19 호
3rd row서울특별시 중랑구 중화동 304번지 50호
4th row서울특별시 중랑구 중화동 296번지 3호
5th row서울특별시 중랑구 망우동 산 494번지 2호
ValueCountFrequency (%)
서울특별시 59
18.9%
중랑구 59
18.9%
호 14
 
4.5%
망우동 14
 
4.5%
면목동 14
 
4.5%
중화동 10
 
3.2%
상봉동 9
 
2.9%
1호 7
 
2.2%
묵동 6
 
1.9%
3호 5
 
1.6%
Other values (89) 115
36.9%
2024-05-11T15:35:02.896754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
305
21.6%
중 69
 
4.9%
동 63
 
4.5%
구 61
 
4.3%
서 60
 
4.3%
울 60
 
4.3%
특 59
 
4.2%
별 59
 
4.2%
시 59
 
4.2%
랑 59
 
4.2%
Other values (49) 556
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 864
61.3%
Space Separator 305
 
21.6%
Decimal Number 237
 
16.8%
Dash Punctuation 2
 
0.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 69
 
8.0%
동 63
 
7.3%
구 61
 
7.1%
서 60
 
6.9%
울 60
 
6.9%
특 59
 
6.8%
별 59
 
6.8%
시 59
 
6.8%
랑 59
 
6.8%
번 57
 
6.6%
Other values (35) 258
29.9%
Decimal Number
ValueCountFrequency (%)
1 39
16.5%
4 35
14.8%
2 34
14.3%
3 25
10.5%
8 24
10.1%
9 21
8.9%
0 19
8.0%
7 14
 
5.9%
5 14
 
5.9%
6 12
 
5.1%
Space Separator
ValueCountFrequency (%)
305
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 864
61.3%
Common 546
38.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 69
 
8.0%
동 63
 
7.3%
구 61
 
7.1%
서 60
 
6.9%
울 60
 
6.9%
특 59
 
6.8%
별 59
 
6.8%
시 59
 
6.8%
랑 59
 
6.8%
번 57
 
6.6%
Other values (35) 258
29.9%
Common
ValueCountFrequency (%)
305
55.9%
1 39
 
7.1%
4 35
 
6.4%
2 34
 
6.2%
3 25
 
4.6%
8 24
 
4.4%
9 21
 
3.8%
0 19
 
3.5%
7 14
 
2.6%
5 14
 
2.6%
Other values (4) 16
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 864
61.3%
ASCII 546
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
305
55.9%
1 39
 
7.1%
4 35
 
6.4%
2 34
 
6.2%
3 25
 
4.6%
8 24
 
4.4%
9 21
 
3.8%
0 19
 
3.5%
7 14
 
2.6%
5 14
 
2.6%
Other values (4) 16
 
2.9%
Hangul
ValueCountFrequency (%)
중 69
 
8.0%
동 63
 
7.3%
구 61
 
7.1%
서 60
 
6.9%
울 60
 
6.9%
특 59
 
6.8%
별 59
 
6.8%
시 59
 
6.8%
랑 59
 
6.8%
번 57
 
6.6%
Other values (35) 258
29.9%

시설구분명
Categorical

Distinct3
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size852.0 B
민간시설
41 
<NA>
31 
공공시설
18 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
민간시설 41
45.6%
<NA> 31
34.4%
공공시설 18
20.0%

Length

2024-05-11T15:35:03.143497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:35:03.319441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간시설 41
45.6%
na 31
34.4%
공공시설 18
20.0%

시설명_건물명
Text

MISSING 

Distinct58
Distinct (%)98.3%
Missing31
Missing (%)34.4%
Memory size852.0 B
2024-05-11T15:35:03.713338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length5.7966102
Min length3

Characters and Unicode

Total characters342
Distinct characters130
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

Unique57 ?
Unique (%)96.6%

Sample

1st row한전동부지점
2nd row영광식품
3rd row양지사우나
4th row한독기사식당
5th row천우탕
ValueCountFrequency (%)
서울북부고속도로(주 2
 
3.2%
삼일빌딩(홈플러스 1
 
1.6%
등 1
 
1.6%
1
 
1.6%
새서울극장전력구 1
 
1.6%
세광사우나 1
 
1.6%
면목동주유소(gs칼텍스 1
 
1.6%
대호목욕탕 1
 
1.6%
갑인목욕탕 1
 
1.6%
보현정사약수터 1
 
1.6%
Other values (51) 51
82.3%
2024-05-11T15:35:04.432548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 13
 
3.8%
탕 11
 
3.2%
우 10
 
2.9%
목 8
 
2.3%
나 7
 
2.0%
수 7
 
2.0%
딩 6
 
1.8%
동 6
 
1.8%
빌 6
 
1.8%
원 6
 
1.8%
Other values (120) 262
76.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 320
93.6%
Open Punctuation 6
 
1.8%
Close Punctuation 6
 
1.8%
Space Separator 3
 
0.9%
Decimal Number 2
 
0.6%
Uppercase Letter 2
 
0.6%
Lowercase Letter 2
 
0.6%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 13
 
4.1%
탕 11
 
3.4%
우 10
 
3.1%
목 8
 
2.5%
나 7
 
2.2%
수 7
 
2.2%
딩 6
 
1.9%
동 6
 
1.9%
빌 6
 
1.9%
원 6
 
1.9%
Other values (111) 240
75.0%
Uppercase Letter
ValueCountFrequency (%)
G 1
50.0%
S 1
50.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
50.0%
d 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Decimal Number
ValueCountFrequency (%)
8 2
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 320
93.6%
Common 18
 
5.3%
Latin 4
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 13
 
4.1%
탕 11
 
3.4%
우 10
 
3.1%
목 8
 
2.5%
나 7
 
2.2%
수 7
 
2.2%
딩 6
 
1.9%
동 6
 
1.9%
빌 6
 
1.9%
원 6
 
1.9%
Other values (111) 240
75.0%
Common
ValueCountFrequency (%)
( 6
33.3%
) 6
33.3%
3
16.7%
8 2
 
11.1%
/ 1
 
5.6%
Latin
ValueCountFrequency (%)
G 1
25.0%
S 1
25.0%
b 1
25.0%
d 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 320
93.6%
ASCII 22
 
6.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 13
 
4.1%
탕 11
 
3.4%
우 10
 
3.1%
목 8
 
2.5%
나 7
 
2.2%
수 7
 
2.2%
딩 6
 
1.9%
동 6
 
1.9%
빌 6
 
1.9%
원 6
 
1.9%
Other values (111) 240
75.0%
ASCII
ValueCountFrequency (%)
( 6
27.3%
) 6
27.3%
3
13.6%
8 2
 
9.1%
G 1
 
4.5%
/ 1
 
4.5%
S 1
 
4.5%
b 1
 
4.5%
d 1
 
4.5%

해제일자
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)73.5%
Missing41
Missing (%)45.6%
Infinite0
Infinite (%)0.0%
Mean20133870
Minimum20040610
Maximum20211203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size942.0 B
2024-05-11T15:35:04.713992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040610
5-th percentile20060322
Q120080905
median20140507
Q320190828
95-th percentile20210862
Maximum20211203
Range170593
Interquartile range (IQR)109923

Descriptive statistics

Standard deviation56132.946
Coefficient of variation (CV)0.002787986
Kurtosis-1.5479326
Mean20133870
Median Absolute Deviation (MAD)59602
Skewness0.037830848
Sum9.8655961 × 108
Variance3.1509076 × 109
MonotonicityNot monotonic
2024-05-11T15:35:04.947356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
20080905 5
 
5.6%
20101224 4
 
4.4%
20190828 4
 
4.4%
20201119 2
 
2.2%
20061016 2
 
2.2%
20140625 2
 
2.2%
20120210 1
 
1.1%
20211203 1
 
1.1%
20210406 1
 
1.1%
20211130 1
 
1.1%
Other values (26) 26
28.9%
(Missing) 41
45.6%
ValueCountFrequency (%)
20040610 1
 
1.1%
20051118 1
 
1.1%
20060126 1
 
1.1%
20060615 1
 
1.1%
20061016 2
 
2.2%
20070112 1
 
1.1%
20080424 1
 
1.1%
20080602 1
 
1.1%
20080709 1
 
1.1%
20080905 5
5.6%
ValueCountFrequency (%)
20211203 1
1.1%
20211130 1
1.1%
20211021 1
1.1%
20210624 1
1.1%
20210406 1
1.1%
20210319 1
1.1%
20201119 2
2.2%
20201102 1
1.1%
20200116 1
1.1%
20191111 1
1.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
030600003060000-E1977000011977-12-202021-04-224취소/말소/만료/정지/중지19사용중지2021-04-22<NA><NA><NA><NA>132.0<NA>서울특별시 중랑구 묵동 249번지 2호서울특별시 중랑구 중랑역로 137 (묵동, 서울지방경찰서 광역지수대)2012서울지방경찰청 지능범죄수사대2023-06-22 11:41:23U2022-12-05 22:04:00.0<NA>206678.21522455932.468083<NA><NA><NA><NA>
130600003060000-E19780000119781220<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>288.0<NA>서울특별시 중랑구 면목동 173번지 1호서울특별시 중랑구 동일로95길 29 (면목동, 면목5동제1구립경로당)2233송계공원2022-11-08 08:16:47U2021-10-31 23:00:00.0<NA>206823.835294453597.821228<NA><NA><NA><NA>
230600003060000-E19840000219840123200610164취소/말소/만료/정지/중지19사용중지20061016<NA><NA><NA><NA>144.0<NA>서울특별시 중랑구 묵동 181번지 4 호<NA><NA>한전동부지점2006-10-26 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 중랑구 묵동 181번지 4 호공공시설한전동부지점20061016
330600003060000-E19840000319840215200807094취소/말소/만료/정지/중지19사용중지20080709<NA><NA><NA><NA>88.0<NA>서울특별시 중랑구 면목동 343번지 19 호<NA><NA>영광식품2008-07-17 14:43:50I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 중랑구 면목동 343번지 19 호민간시설영광식품20080709
430600003060000-E1984000041984-01-11<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>84.0<NA>서울특별시 중랑구 상봉동 92번지 5호서울특별시 중랑구 망우로 332 (상봉동)2149관순빌딩2024-01-16 14:31:32U2023-11-30 23:08:00.0<NA>207813.470701454974.963197<NA><NA><NA><NA>
530600003060000-E19840000519840118201711094취소/말소/만료/정지/중지19사용중지20171109<NA><NA><NA><NA>82.0<NA>서울특별시 중랑구 중화동 304번지 50호서울특별시 중랑구 중랑역로 82 (중화동)2102양지사우나2017-11-09 17:28:38I2018-08-31 23:59:59.0<NA>206831.262915455381.308498서울특별시 중랑구 중화동 304번지 50호민간시설양지사우나20171109
630600003060000-E19840000619840118201405214취소/말소/만료/정지/중지19사용중지20140521<NA><NA><NA><NA>53.0<NA>서울특별시 중랑구 중화동 296번지 3호서울특별시 중랑구 동일로 747 (중화동)<NA>한독기사식당2014-05-21 16:10:33I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 중랑구 중화동 296번지 3호민간시설한독기사식당20140521
730600003060000-E19840000719840130<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>87.0<NA>서울특별시 중랑구 망우동 220번지서울특별시 중랑구 망우로73길 56 (망우동, 이화여대병설미디어고등학교,영란여중학교)2061이화여대병설미디어고2022-04-28 15:59:49U2021-12-03 21:00:00.0<NA>209186.375154455715.202082<NA><NA><NA><NA>
830600003060000-E19840000819840131200406104취소/말소/만료/정지/중지19사용중지20040610<NA><NA><NA><NA>65.0<NA>서울특별시 중랑구 망우동 산 494번지 2호<NA><NA>천우탕2013-12-26 15:41:04I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 중랑구 망우동 산 494번지 2호민간시설천우탕20040610
930600003060000-E19840000919840225202106244취소/말소/만료/정지/중지19사용중지20210624<NA><NA><NA><NA>43.0<NA>서울특별시 중랑구 망우동 410번지 1호서울특별시 중랑구 용마산로 494 (망우동, 상아빌딩)2182상아빌딩2021-06-24 16:17:59U2021-06-26 02:40:00.0<NA>208781.999419454740.626924서울특별시 중랑구 망우동 410번지 1호민간시설상아빌딩20210624
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
8030600003060000-E20200000720200506<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>50.0<NA>서울특별시 중랑구 면목동 180번지 1호 88병원서울특별시 중랑구 동일로 679, 88병원 (면목동)213088병원2021-07-13 14:54:22U2021-07-15 02:40:00.0<NA>206970.93116454293.539072서울특별시 중랑구 면목동 180번지 1호 88병원민간시설88병원<NA>
8130600003060000-E2020000082020-05-12<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>72.0<NA>서울특별시 중랑구 면목동 727번지 374호 대순진리회서울특별시 중랑구 동일로 471, 대순진리회 (면목동)2248대순진리회관2023-03-28 17:16:46U2022-12-02 21:00:00.0<NA>206984.111005452270.973732<NA><NA><NA><NA>
8230600003060000-E2020000092020-05-12<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>82.0<NA>서울특별시 중랑구 면목동 378번지 3호 북부운수서울특별시 중랑구 면목로 230, 북부운수 (면목동)2254북부운수2023-03-28 17:15:38U2022-12-02 21:00:00.0<NA>207426.559556452328.401897<NA><NA><NA><NA>
8330600003060000-E2020000102020-05-08<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>79.0<NA>서울특별시 중랑구 신내동 413-1 현대볼링장서울특별시 중랑구 봉화산로56길 25 (신내동)2068현대볼링장2023-04-12 17:32:59U2022-12-03 23:04:00.0<NA>208719.253338456076.220981<NA><NA><NA><NA>
8430600003060000-E2020000112020-05-08<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>57.0<NA>서울특별시 중랑구 신내동 344-14 양평식당서울특별시 중랑구 용마산로139가길 12-5, 양평식당 (신내동)2052양평식당2023-04-12 17:34:01U2022-12-03 23:04:00.0<NA>208877.33373457003.573816<NA><NA><NA><NA>
8530600003060000-E20200001220200528<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>82.0<NA>서울특별시 중랑구 면목동 499-4서울특별시 중랑구 면목로 357 (면목동)2221삼일빌딩(홈플러스 익스프레스 등 )2020-11-25 12:26:18U2020-11-27 02:40:00.0<NA>207708.364766453525.741162서울특별시 중랑구 면목동 499-4공공시설삼일빌딩(홈플러스 익스프레스 등 )<NA>
8630600003060000-E2020000132020-05-06<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>53.0<NA>서울특별시 중랑구 면목동 68-11서울특별시 중랑구 상봉로 11 (면목동)2203닭곰탕 서일대본점2023-06-08 09:55:04U2022-12-05 23:00:00.0<NA>208261.133175453851.243509<NA><NA><NA><NA>
8730600003060000-E2020000142020-05-06<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>50.0<NA>서울특별시 중랑구 면목동 105-3서울특별시 중랑구 겸재로 202 (면목동)2198신성기사식당2023-06-08 09:56:00U2022-12-05 23:00:00.0<NA>207887.5866454054.079597<NA><NA><NA><NA>
8830600003060000-E20200001520200515202207214취소/말소/만료/정지/중지19사용중지20220721<NA><NA><NA><NA>79.4<NA>서울특별시 중랑구 상봉동 489-5 오메가3 스포츠센터서울특별시 중랑구 봉화산로 117, 오메가3 스포츠센터 (상봉동)2048오메가쓰리 스포츠2022-07-26 09:50:13U2021-12-06 22:08:00.0<NA>207639.782742455657.077364<NA><NA><NA><NA>
8930600003060000-E20200001620200515<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>98.0<NA>서울특별시 중랑구 상봉동 산 24-3서울특별시 중랑구 봉화산로45길 9-31 (상봉동)2044보현정사2020-11-23 15:20:38U2020-11-25 02:40:00.0<NA>207774.920383455897.722967서울특별시 중랑구 상봉동 산 24-3공공시설보현정사<NA>