Overview

Dataset statistics

Number of variables29
Number of observations86
Missing cells779
Missing cells (%)31.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.7 KiB
Average record size in memory246.5 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
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-20009/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 43 (50.0%) missing valuesMissing
폐업일자 has 43 (50.0%) missing valuesMissing
휴업시작일자 has 86 (100.0%) missing valuesMissing
휴업종료일자 has 86 (100.0%) missing valuesMissing
재개업일자 has 86 (100.0%) missing valuesMissing
전화번호 has 86 (100.0%) missing valuesMissing
소재지우편번호 has 86 (100.0%) missing valuesMissing
도로명주소 has 23 (26.7%) missing valuesMissing
도로명우편번호 has 23 (26.7%) missing valuesMissing
업태구분명 has 86 (100.0%) missing valuesMissing
좌표정보(X) has 21 (24.4%) missing valuesMissing
좌표정보(Y) has 21 (24.4%) missing valuesMissing
비상시설위치 has 21 (24.4%) missing valuesMissing
시설명_건물명 has 21 (24.4%) missing valuesMissing
해제일자 has 47 (54.7%) 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
소재지면적 has 1 (1.2%) zerosZeros

Reproduction

Analysis started2024-05-11 05:33:38.669385
Analysis finished2024-05-11 05:33:39.499539
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size820.0 B
3070000
86 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3070000
2nd row3070000
3rd row3070000
4th row3070000
5th row3070000

Common Values

ValueCountFrequency (%)
3070000 86
100.0%

Length

2024-05-11T14:33:39.593179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:39.709357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3070000 86
100.0%

관리번호
Text

UNIQUE 

Distinct86
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size820.0 B
2024-05-11T14:33:39.929139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters1548
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

Unique86 ?
Unique (%)100.0%

Sample

1st row3070000-E197600001
2nd row3070000-E197600002
3rd row3070000-E197600003
4th row3070000-E197600004
5th row3070000-E197700001
ValueCountFrequency (%)
3070000-e197600001 1
 
1.2%
3070000-e200900018 1
 
1.2%
3070000-e200900027 1
 
1.2%
3070000-e200900025 1
 
1.2%
3070000-e200900024 1
 
1.2%
3070000-e200900023 1
 
1.2%
3070000-e200900022 1
 
1.2%
3070000-e200900021 1
 
1.2%
3070000-e200900020 1
 
1.2%
3070000-e201100004 1
 
1.2%
Other values (76) 76
88.4%
2024-05-11T14:33:40.395169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 856
55.3%
7 110
 
7.1%
3 101
 
6.5%
1 99
 
6.4%
2 90
 
5.8%
- 86
 
5.6%
E 86
 
5.6%
9 73
 
4.7%
4 17
 
1.1%
6 12
 
0.8%
Other values (2) 18
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1376
88.9%
Dash Punctuation 86
 
5.6%
Uppercase Letter 86
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 856
62.2%
7 110
 
8.0%
3 101
 
7.3%
1 99
 
7.2%
2 90
 
6.5%
9 73
 
5.3%
4 17
 
1.2%
6 12
 
0.9%
5 9
 
0.7%
8 9
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1462
94.4%
Latin 86
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 856
58.5%
7 110
 
7.5%
3 101
 
6.9%
1 99
 
6.8%
2 90
 
6.2%
- 86
 
5.9%
9 73
 
5.0%
4 17
 
1.2%
6 12
 
0.8%
5 9
 
0.6%
Latin
ValueCountFrequency (%)
E 86
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1548
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 856
55.3%
7 110
 
7.1%
3 101
 
6.5%
1 99
 
6.4%
2 90
 
5.8%
- 86
 
5.6%
E 86
 
5.6%
9 73
 
4.7%
4 17
 
1.1%
6 12
 
0.8%
Other values (2) 18
 
1.2%

인허가일자
Date

Distinct33
Distinct (%)38.4%
Missing0
Missing (%)0.0%
Memory size820.0 B
Minimum1976-05-01 00:00:00
Maximum2018-08-22 00:00:00
2024-05-11T14:33:40.600222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:33:40.755528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

인허가취소일자
Date

MISSING 

Distinct27
Distinct (%)62.8%
Missing43
Missing (%)50.0%
Memory size820.0 B
Minimum2006-05-26 00:00:00
Maximum2024-02-29 00:00:00
2024-05-11T14:33:40.903915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:33:41.072837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

영업상태코드
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
4
43 
1
43 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
4 43
50.0%
1 43
50.0%

Length

2024-05-11T14:33:41.237069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:41.380451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 43
50.0%
1 43
50.0%

영업상태명
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
취소/말소/만료/정지/중지
43 
영업/정상
43 

Length

Max length14
Median length9.5
Mean length9.5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
취소/말소/만료/정지/중지 43
50.0%
영업/정상 43
50.0%

Length

2024-05-11T14:33:41.578356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:41.741915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취소/말소/만료/정지/중지 43
50.0%
영업/정상 43
50.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
19
43 
18
43 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
19 43
50.0%
18 43
50.0%

Length

2024-05-11T14:33:41.869535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:42.007531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19 43
50.0%
18 43
50.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
사용중지
43 
사용중
43 

Length

Max length4
Median length3.5
Mean length3.5
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용중지 43
50.0%
사용중 43
50.0%

Length

2024-05-11T14:33:42.148073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:42.287241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중지 43
50.0%
사용중 43
50.0%

폐업일자
Date

MISSING 

Distinct27
Distinct (%)62.8%
Missing43
Missing (%)50.0%
Memory size820.0 B
Minimum2006-05-26 00:00:00
Maximum2024-02-29 00:00:00
2024-05-11T14:33:42.715901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:33:42.880519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

소재지면적
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean163.60465
Minimum0
Maximum2300
Zeros1
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-05-11T14:33:43.059726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q153.75
median70
Q398.75
95-th percentile344.5
Maximum2300
Range2300
Interquartile range (IQR)45

Descriptive statistics

Standard deviation389.55136
Coefficient of variation (CV)2.3810531
Kurtosis23.766604
Mean163.60465
Median Absolute Deviation (MAD)20
Skewness4.9115758
Sum14070
Variance151750.27
MonotonicityNot monotonic
2024-05-11T14:33:43.306876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
60 8
 
9.3%
70 6
 
7.0%
90 6
 
7.0%
137 5
 
5.8%
50 5
 
5.8%
30 4
 
4.7%
80 4
 
4.7%
100 3
 
3.5%
32 3
 
3.5%
86 2
 
2.3%
Other values (34) 40
46.5%
ValueCountFrequency (%)
0 1
 
1.2%
5 1
 
1.2%
10 2
 
2.3%
30 4
4.7%
32 3
3.5%
40 2
 
2.3%
42 1
 
1.2%
43 2
 
2.3%
50 5
5.8%
53 1
 
1.2%
ValueCountFrequency (%)
2300 1
1.2%
2240 1
1.2%
1923 1
1.2%
430 1
1.2%
350 1
1.2%
328 2
2.3%
300 1
1.2%
280 1
1.2%
200 1
1.2%
152 1
1.2%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

지번주소
Text

Distinct80
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size820.0 B
2024-05-11T14:33:43.752230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length22.604651
Min length12

Characters and Unicode

Total characters1944
Distinct characters68
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

Unique75 ?
Unique (%)87.2%

Sample

1st row서울특별시 성북구 장위동 69-54
2nd row서울특별시 성북구 석관동 205번지
3rd row성북구 석관1동 205
4th row서울특별시 성북구 장위동 124번지 1호
5th row서울특별시 성북구 종암동 7번지 10호
ValueCountFrequency (%)
성북구 86
20.5%
서울특별시 85
20.3%
1호 12
 
2.9%
석관동 11
 
2.6%
정릉동 11
 
2.6%
성북동 10
 
2.4%
호 8
 
1.9%
종암동 7
 
1.7%
장위동 7
 
1.7%
보문동1가 7
 
1.7%
Other values (124) 175
41.8%
2024-05-11T14:33:44.415651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
367
18.9%
북 98
 
5.0%
성 98
 
5.0%
동 93
 
4.8%
1 87
 
4.5%
구 87
 
4.5%
서 85
 
4.4%
울 85
 
4.4%
시 85
 
4.4%
별 85
 
4.4%
Other values (58) 774
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1238
63.7%
Space Separator 367
 
18.9%
Decimal Number 337
 
17.3%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 98
 
7.9%
성 98
 
7.9%
동 93
 
7.5%
구 87
 
7.0%
서 85
 
6.9%
울 85
 
6.9%
시 85
 
6.9%
별 85
 
6.9%
특 85
 
6.9%
번 82
 
6.6%
Other values (46) 355
28.7%
Decimal Number
ValueCountFrequency (%)
1 87
25.8%
4 44
13.1%
3 39
11.6%
2 38
11.3%
5 29
 
8.6%
0 23
 
6.8%
7 22
 
6.5%
6 21
 
6.2%
9 19
 
5.6%
8 15
 
4.5%
Space Separator
ValueCountFrequency (%)
367
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1238
63.7%
Common 706
36.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 98
 
7.9%
성 98
 
7.9%
동 93
 
7.5%
구 87
 
7.0%
서 85
 
6.9%
울 85
 
6.9%
시 85
 
6.9%
별 85
 
6.9%
특 85
 
6.9%
번 82
 
6.6%
Other values (46) 355
28.7%
Common
ValueCountFrequency (%)
367
52.0%
1 87
 
12.3%
4 44
 
6.2%
3 39
 
5.5%
2 38
 
5.4%
5 29
 
4.1%
0 23
 
3.3%
7 22
 
3.1%
6 21
 
3.0%
9 19
 
2.7%
Other values (2) 17
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1238
63.7%
ASCII 706
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
367
52.0%
1 87
 
12.3%
4 44
 
6.2%
3 39
 
5.5%
2 38
 
5.4%
5 29
 
4.1%
0 23
 
3.3%
7 22
 
3.1%
6 21
 
3.0%
9 19
 
2.7%
Other values (2) 17
 
2.4%
Hangul
ValueCountFrequency (%)
북 98
 
7.9%
성 98
 
7.9%
동 93
 
7.5%
구 87
 
7.0%
서 85
 
6.9%
울 85
 
6.9%
시 85
 
6.9%
별 85
 
6.9%
특 85
 
6.9%
번 82
 
6.6%
Other values (46) 355
28.7%

도로명주소
Text

MISSING 

Distinct59
Distinct (%)93.7%
Missing23
Missing (%)26.7%
Memory size820.0 B
2024-05-11T14:33:44.857301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length35
Mean length28.507937
Min length22

Characters and Unicode

Total characters1796
Distinct characters121
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

Unique55 ?
Unique (%)87.3%

Sample

1st row서울특별시 성북구 돌곶이로22길 21 (석관동, 서울석관초등학교)
2nd row서울특별시 성북구 한천로95길 28 (장위동, 남대문중학교)
3rd row서울특별시 성북구 월곡로 36 (종암동, 서울대학교사범대학부설중학교)
4th row서울특별시 성북구 보문로 52 (보문동7가, 동대문세무서)
5th row서울특별시 성북구 화랑로32길 146-20 (석관동, 문화재청의릉지구관리소)
ValueCountFrequency (%)
서울특별시 63
 
18.3%
성북구 63
 
18.3%
석관동 10
 
2.9%
성북동 9
 
2.6%
정릉동 8
 
2.3%
보문로 7
 
2.0%
종암동 6
 
1.7%
지하 5
 
1.5%
보문동1가 5
 
1.5%
장위동 5
 
1.5%
Other values (124) 163
47.4%
2024-05-11T14:33:45.563135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
281
 
15.6%
동 77
 
4.3%
성 74
 
4.1%
북 74
 
4.1%
서 68
 
3.8%
울 67
 
3.7%
구 66
 
3.7%
시 64
 
3.6%
별 63
 
3.5%
) 63
 
3.5%
Other values (111) 899
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1114
62.0%
Space Separator 281
 
15.6%
Decimal Number 239
 
13.3%
Close Punctuation 63
 
3.5%
Open Punctuation 63
 
3.5%
Other Punctuation 23
 
1.3%
Dash Punctuation 13
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 77
 
6.9%
성 74
 
6.6%
북 74
 
6.6%
서 68
 
6.1%
울 67
 
6.0%
구 66
 
5.9%
시 64
 
5.7%
별 63
 
5.7%
특 63
 
5.7%
로 62
 
5.6%
Other values (96) 436
39.1%
Decimal Number
ValueCountFrequency (%)
2 52
21.8%
1 47
19.7%
5 22
9.2%
4 20
 
8.4%
3 20
 
8.4%
6 19
 
7.9%
8 19
 
7.9%
7 18
 
7.5%
9 11
 
4.6%
0 11
 
4.6%
Space Separator
ValueCountFrequency (%)
281
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1114
62.0%
Common 682
38.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 77
 
6.9%
성 74
 
6.6%
북 74
 
6.6%
서 68
 
6.1%
울 67
 
6.0%
구 66
 
5.9%
시 64
 
5.7%
별 63
 
5.7%
특 63
 
5.7%
로 62
 
5.6%
Other values (96) 436
39.1%
Common
ValueCountFrequency (%)
281
41.2%
) 63
 
9.2%
( 63
 
9.2%
2 52
 
7.6%
1 47
 
6.9%
, 23
 
3.4%
5 22
 
3.2%
4 20
 
2.9%
3 20
 
2.9%
6 19
 
2.8%
Other values (5) 72
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1114
62.0%
ASCII 682
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
281
41.2%
) 63
 
9.2%
( 63
 
9.2%
2 52
 
7.6%
1 47
 
6.9%
, 23
 
3.4%
5 22
 
3.2%
4 20
 
2.9%
3 20
 
2.9%
6 19
 
2.8%
Other values (5) 72
 
10.6%
Hangul
ValueCountFrequency (%)
동 77
 
6.9%
성 74
 
6.6%
북 74
 
6.6%
서 68
 
6.1%
울 67
 
6.0%
구 66
 
5.9%
시 64
 
5.7%
별 63
 
5.7%
특 63
 
5.7%
로 62
 
5.6%
Other values (96) 436
39.1%

도로명우편번호
Text

MISSING 

Distinct47
Distinct (%)74.6%
Missing23
Missing (%)26.7%
Memory size820.0 B
2024-05-11T14:33:45.909379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.4920635
Min length5

Characters and Unicode

Total characters346
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)58.7%

Sample

1st row02783
2nd row02763
3rd row02796
4th row02859
5th row02789
ValueCountFrequency (%)
136081 5
 
7.9%
136823 4
 
6.3%
02782 3
 
4.8%
02718 2
 
3.2%
02736 2
 
3.2%
02780 2
 
3.2%
02789 2
 
3.2%
136054 2
 
3.2%
02845 2
 
3.2%
02822 2
 
3.2%
Other values (37) 37
58.7%
2024-05-11T14:33:46.567329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 56
16.2%
0 54
15.6%
8 47
13.6%
1 41
11.8%
3 41
11.8%
6 36
10.4%
7 29
8.4%
5 15
 
4.3%
4 12
 
3.5%
9 11
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 342
98.8%
Dash Punctuation 4
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 56
16.4%
0 54
15.8%
8 47
13.7%
1 41
12.0%
3 41
12.0%
6 36
10.5%
7 29
8.5%
5 15
 
4.4%
4 12
 
3.5%
9 11
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 346
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 56
16.2%
0 54
15.6%
8 47
13.6%
1 41
11.8%
3 41
11.8%
6 36
10.4%
7 29
8.4%
5 15
 
4.3%
4 12
 
3.5%
9 11
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 346
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 56
16.2%
0 54
15.6%
8 47
13.6%
1 41
11.8%
3 41
11.8%
6 36
10.4%
7 29
8.4%
5 15
 
4.3%
4 12
 
3.5%
9 11
 
3.2%

사업장명
Text

Distinct85
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size820.0 B
2024-05-11T14:33:47.014534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length8.4186047
Min length3

Characters and Unicode

Total characters724
Distinct characters199
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

Unique84 ?
Unique (%)97.7%

Sample

1st row비상공동 정호수
2nd row석관초등학교
3rd row비상급수시설
4th row남대문중학교 비상급수시설
5th row서울사대부속중학교
ValueCountFrequency (%)
비상급수시설 6
 
5.3%
옆 5
 
4.4%
서울메트로 3
 
2.6%
미시간모텔 2
 
1.8%
대각회 1
 
0.9%
926-4116 1
 
0.9%
주)동아석유(박종필 1
 
0.9%
아이파크아파트(923-0550 1
 
0.9%
종암2차 1
 
0.9%
두부공장 1
 
0.9%
Other values (92) 92
80.7%
2024-05-11T14:33:47.669019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 32
 
4.4%
( 32
 
4.4%
28
 
3.9%
상 13
 
1.8%
수 13
 
1.8%
2 12
 
1.7%
동 12
 
1.7%
사 11
 
1.5%
시 11
 
1.5%
장 10
 
1.4%
Other values (189) 550
76.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 561
77.5%
Decimal Number 58
 
8.0%
Close Punctuation 32
 
4.4%
Open Punctuation 32
 
4.4%
Space Separator 28
 
3.9%
Dash Punctuation 6
 
0.8%
Uppercase Letter 6
 
0.8%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 13
 
2.3%
수 13
 
2.3%
동 12
 
2.1%
사 11
 
2.0%
시 11
 
2.0%
장 10
 
1.8%
트 9
 
1.6%
주 9
 
1.6%
성 9
 
1.6%
비 9
 
1.6%
Other values (170) 455
81.1%
Decimal Number
ValueCountFrequency (%)
2 12
20.7%
3 8
13.8%
1 7
12.1%
5 7
12.1%
4 6
10.3%
0 6
10.3%
6 4
 
6.9%
9 4
 
6.9%
7 3
 
5.2%
8 1
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
S 3
50.0%
G 1
 
16.7%
J 1
 
16.7%
B 1
 
16.7%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Space Separator
ValueCountFrequency (%)
28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 561
77.5%
Common 157
 
21.7%
Latin 6
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 13
 
2.3%
수 13
 
2.3%
동 12
 
2.1%
사 11
 
2.0%
시 11
 
2.0%
장 10
 
1.8%
트 9
 
1.6%
주 9
 
1.6%
성 9
 
1.6%
비 9
 
1.6%
Other values (170) 455
81.1%
Common
ValueCountFrequency (%)
) 32
20.4%
( 32
20.4%
28
17.8%
2 12
 
7.6%
3 8
 
5.1%
1 7
 
4.5%
5 7
 
4.5%
- 6
 
3.8%
4 6
 
3.8%
0 6
 
3.8%
Other values (5) 13
8.3%
Latin
ValueCountFrequency (%)
S 3
50.0%
G 1
 
16.7%
J 1
 
16.7%
B 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 561
77.5%
ASCII 163
 
22.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 32
19.6%
( 32
19.6%
28
17.2%
2 12
 
7.4%
3 8
 
4.9%
1 7
 
4.3%
5 7
 
4.3%
- 6
 
3.7%
4 6
 
3.7%
0 6
 
3.7%
Other values (9) 19
11.7%
Hangul
ValueCountFrequency (%)
상 13
 
2.3%
수 13
 
2.3%
동 12
 
2.1%
사 11
 
2.0%
시 11
 
2.0%
장 10
 
1.8%
트 9
 
1.6%
주 9
 
1.6%
성 9
 
1.6%
비 9
 
1.6%
Other values (170) 455
81.1%

최종수정일자
Date

Distinct82
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
Minimum2006-05-26 00:00:00
Maximum2024-02-29 14:34:08
2024-05-11T14:33:47.844662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:33:48.041102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
I
45 
U
41 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 45
52.3%
U 41
47.7%

Length

2024-05-11T14:33:48.239134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:48.411406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 45
52.3%
u 41
47.7%

데이터갱신일자
Date

Distinct25
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Memory size820.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:03:00
2024-05-11T14:33:48.579548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:33:48.770527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)90.8%
Missing21
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean202233.31
Minimum198545.88
Maximum205996.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-05-11T14:33:49.000436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198545.88
5-th percentile199091.03
Q1200808.92
median201778.05
Q3203605.75
95-th percentile205851.39
Maximum205996.72
Range7450.8419
Interquartile range (IQR)2796.8325

Descriptive statistics

Standard deviation2127.0976
Coefficient of variation (CV)0.010518038
Kurtosis-0.87608917
Mean202233.31
Median Absolute Deviation (MAD)1326.6635
Skewness0.20067626
Sum13145165
Variance4524544.4
MonotonicityNot monotonic
2024-05-11T14:33:49.294518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205996.717928956 3
 
3.5%
201012.450727404 2
 
2.3%
201426.900209319 2
 
2.3%
205670.543561014 2
 
2.3%
204367.347787613 2
 
2.3%
202761.798881633 1
 
1.2%
202731.916358231 1
 
1.2%
203430.331730372 1
 
1.2%
201412.459600271 1
 
1.2%
199841.993563563 1
 
1.2%
Other values (49) 49
57.0%
(Missing) 21
24.4%
ValueCountFrequency (%)
198545.876020342 1
1.2%
198629.84908902 1
1.2%
198632.12805067 1
1.2%
199079.875955632 1
1.2%
199135.649367073 1
1.2%
199197.617754329 1
1.2%
199316.591904853 1
1.2%
199352.001323814 1
1.2%
199541.440387212 1
1.2%
199790.039797093 1
1.2%
ValueCountFrequency (%)
205996.717928956 3
3.5%
205896.604302143 1
 
1.2%
205670.543561014 2
2.3%
205280.23413134 1
 
1.2%
205254.262597746 1
 
1.2%
205155.139567981 1
 
1.2%
205050.874804615 1
 
1.2%
204871.109362242 1
 
1.2%
204863.310848262 1
 
1.2%
204743.309646494 1
 
1.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)92.3%
Missing21
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean455375.22
Minimum453099.14
Maximum457759.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-05-11T14:33:49.533314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453099.14
5-th percentile453694.7
Q1454475.24
median455458.02
Q3456233.02
95-th percentile457445.51
Maximum457759.03
Range4659.8866
Interquartile range (IQR)1757.7738

Descriptive statistics

Standard deviation1195.9767
Coefficient of variation (CV)0.0026263544
Kurtosis-0.86096693
Mean455375.22
Median Absolute Deviation (MAD)949.12279
Skewness0.035487331
Sum29599389
Variance1430360.3
MonotonicityNot monotonic
2024-05-11T14:33:49.735027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
456704.522324447 3
 
3.5%
455800.100307666 2
 
2.3%
456524.119637145 2
 
2.3%
456732.945005445 2
 
2.3%
455082.296406351 1
 
1.2%
454949.127054968 1
 
1.2%
455935.519111833 1
 
1.2%
456145.039970429 1
 
1.2%
454531.867790147 1
 
1.2%
456146.06908592 1
 
1.2%
Other values (50) 50
58.1%
(Missing) 21
24.4%
ValueCountFrequency (%)
453099.142216402 1
1.2%
453134.984441454 1
1.2%
453426.444356597 1
1.2%
453691.276730945 1
1.2%
453708.383760708 1
1.2%
453754.395333333 1
1.2%
453780.425269514 1
1.2%
453854.347296253 1
1.2%
453855.56648031 1
1.2%
453919.153093607 1
1.2%
ValueCountFrequency (%)
457759.028831092 1
 
1.2%
457628.270095595 1
 
1.2%
457510.57039148 1
 
1.2%
457471.830193982 1
 
1.2%
457340.23705564 1
 
1.2%
456779.962542708 1
 
1.2%
456732.945005445 2
2.3%
456704.522324447 3
3.5%
456669.571028101 1
 
1.2%
456524.119637145 2
2.3%

비상시설위치
Text

MISSING 

Distinct62
Distinct (%)95.4%
Missing21
Missing (%)24.4%
Memory size820.0 B
2024-05-11T14:33:50.116637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30
Mean length22.892308
Min length12

Characters and Unicode

Total characters1488
Distinct characters65
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

Unique59 ?
Unique (%)90.8%

Sample

1st row서울특별시 성북구 장위동 69-54
2nd row성북구 석관1동 205
3rd row서울특별시 성북구 종암동 7번지 10호
4th row서울특별시 성북구 보문동7가 104번지
5th row서울특별시 성북구 삼선동5가 411번지 성북구청
ValueCountFrequency (%)
성북구 65
20.3%
서울특별시 64
20.0%
성북동 10
 
3.1%
정릉동 9
 
2.8%
1호 8
 
2.5%
호 8
 
2.5%
보문동1가 7
 
2.2%
330번지 6
 
1.9%
하월곡동 6
 
1.9%
종암동 6
 
1.9%
Other values (99) 131
40.9%
2024-05-11T14:33:50.734072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
289
19.4%
성 77
 
5.2%
북 77
 
5.2%
동 70
 
4.7%
1 68
 
4.6%
구 66
 
4.4%
서 64
 
4.3%
특 64
 
4.3%
별 64
 
4.3%
시 64
 
4.3%
Other values (55) 585
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 939
63.1%
Space Separator 289
 
19.4%
Decimal Number 259
 
17.4%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 77
 
8.2%
북 77
 
8.2%
동 70
 
7.5%
구 66
 
7.0%
서 64
 
6.8%
특 64
 
6.8%
별 64
 
6.8%
시 64
 
6.8%
울 64
 
6.8%
번 62
 
6.6%
Other values (43) 267
28.4%
Decimal Number
ValueCountFrequency (%)
1 68
26.3%
3 36
13.9%
2 31
12.0%
4 29
11.2%
7 21
 
8.1%
0 16
 
6.2%
5 16
 
6.2%
6 16
 
6.2%
8 13
 
5.0%
9 13
 
5.0%
Space Separator
ValueCountFrequency (%)
289
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 939
63.1%
Common 549
36.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 77
 
8.2%
북 77
 
8.2%
동 70
 
7.5%
구 66
 
7.0%
서 64
 
6.8%
특 64
 
6.8%
별 64
 
6.8%
시 64
 
6.8%
울 64
 
6.8%
번 62
 
6.6%
Other values (43) 267
28.4%
Common
ValueCountFrequency (%)
289
52.6%
1 68
 
12.4%
3 36
 
6.6%
2 31
 
5.6%
4 29
 
5.3%
7 21
 
3.8%
0 16
 
2.9%
5 16
 
2.9%
6 16
 
2.9%
8 13
 
2.4%
Other values (2) 14
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 939
63.1%
ASCII 549
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
289
52.6%
1 68
 
12.4%
3 36
 
6.6%
2 31
 
5.6%
4 29
 
5.3%
7 21
 
3.8%
0 16
 
2.9%
5 16
 
2.9%
6 16
 
2.9%
8 13
 
2.4%
Other values (2) 14
 
2.6%
Hangul
ValueCountFrequency (%)
성 77
 
8.2%
북 77
 
8.2%
동 70
 
7.5%
구 66
 
7.0%
서 64
 
6.8%
특 64
 
6.8%
별 64
 
6.8%
시 64
 
6.8%
울 64
 
6.8%
번 62
 
6.6%
Other values (43) 267
28.4%

시설구분명
Categorical

Distinct5
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size820.0 B
민간시설
48 
<NA>
21 
공공시설
7 
정부지원시설
6 
자치단체자체시설
 
4

Length

Max length8
Median length4
Mean length4.3255814
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
민간시설 48
55.8%
<NA> 21
24.4%
공공시설 7
 
8.1%
정부지원시설 6
 
7.0%
자치단체자체시설 4
 
4.7%

Length

2024-05-11T14:33:50.947233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:51.127226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간시설 48
55.8%
na 21
24.4%
공공시설 7
 
8.1%
정부지원시설 6
 
7.0%
자치단체자체시설 4
 
4.7%

시설명_건물명
Text

MISSING 

Distinct64
Distinct (%)98.5%
Missing21
Missing (%)24.4%
Memory size820.0 B
2024-05-11T14:33:51.422556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length14
Mean length8.1230769
Min length3

Characters and Unicode

Total characters528
Distinct characters185
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

Unique63 ?
Unique (%)96.9%

Sample

1st row비상공동 정호수
2nd row비상급수시설
3rd row서울사대부속중학교
4th row서울지방국세청 동대문별관 비상급수시설
5th row성북구청 비상급수시설
ValueCountFrequency (%)
비상급수시설 5
 
6.0%
서울메트로 3
 
3.6%
미시간모텔 2
 
2.4%
김명순(목욕탕 1
 
1.2%
아이파크아파트(923-0550 1
 
1.2%
종암2차 1
 
1.2%
두부공장 1
 
1.2%
주)신라ss(서석홍 1
 
1.2%
여래사 1
 
1.2%
길음뉴타운10단지 1
 
1.2%
Other values (66) 66
79.5%
2024-05-11T14:33:52.074646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 23
 
4.4%
) 23
 
4.4%
18
 
3.4%
시 10
 
1.9%
수 10
 
1.9%
성 9
 
1.7%
상 9
 
1.7%
2 9
 
1.7%
비 8
 
1.5%
서 8
 
1.5%
Other values (175) 401
75.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 412
78.0%
Decimal Number 42
 
8.0%
Open Punctuation 23
 
4.4%
Close Punctuation 23
 
4.4%
Space Separator 18
 
3.4%
Dash Punctuation 5
 
0.9%
Uppercase Letter 4
 
0.8%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 10
 
2.4%
수 10
 
2.4%
성 9
 
2.2%
상 9
 
2.2%
비 8
 
1.9%
서 8
 
1.9%
대 7
 
1.7%
세 7
 
1.7%
트 6
 
1.5%
울 6
 
1.5%
Other values (157) 332
80.6%
Decimal Number
ValueCountFrequency (%)
2 9
21.4%
3 7
16.7%
5 6
14.3%
0 5
11.9%
4 4
9.5%
9 3
 
7.1%
1 3
 
7.1%
7 3
 
7.1%
8 1
 
2.4%
6 1
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
S 2
50.0%
J 1
25.0%
B 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 412
78.0%
Common 112
 
21.2%
Latin 4
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 10
 
2.4%
수 10
 
2.4%
성 9
 
2.2%
상 9
 
2.2%
비 8
 
1.9%
서 8
 
1.9%
대 7
 
1.7%
세 7
 
1.7%
트 6
 
1.5%
울 6
 
1.5%
Other values (157) 332
80.6%
Common
ValueCountFrequency (%)
( 23
20.5%
) 23
20.5%
18
16.1%
2 9
 
8.0%
3 7
 
6.2%
5 6
 
5.4%
0 5
 
4.5%
- 5
 
4.5%
4 4
 
3.6%
9 3
 
2.7%
Other values (5) 9
 
8.0%
Latin
ValueCountFrequency (%)
S 2
50.0%
J 1
25.0%
B 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 412
78.0%
ASCII 116
 
22.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 23
19.8%
) 23
19.8%
18
15.5%
2 9
 
7.8%
3 7
 
6.0%
5 6
 
5.2%
0 5
 
4.3%
- 5
 
4.3%
4 4
 
3.4%
9 3
 
2.6%
Other values (8) 13
11.2%
Hangul
ValueCountFrequency (%)
시 10
 
2.4%
수 10
 
2.4%
성 9
 
2.2%
상 9
 
2.2%
비 8
 
1.9%
서 8
 
1.9%
대 7
 
1.7%
세 7
 
1.7%
트 6
 
1.5%
울 6
 
1.5%
Other values (157) 332
80.6%

해제일자
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)61.5%
Missing47
Missing (%)54.7%
Infinite0
Infinite (%)0.0%
Mean20130710
Minimum20060526
Maximum20201230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-05-11T14:33:52.263673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060526
5-th percentile20060526
Q120100572
median20120601
Q320171107
95-th percentile20200311
Maximum20201230
Range140704
Interquartile range (IQR)70535

Descriptive statistics

Standard deviation45542.872
Coefficient of variation (CV)0.0022623579
Kurtosis-1.2642846
Mean20130710
Median Absolute Deviation (MAD)39723
Skewness-0.036364049
Sum7.850977 × 108
Variance2.0741532 × 109
MonotonicityNot monotonic
2024-05-11T14:33:52.456042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
20060526 5
 
5.8%
20100714 4
 
4.7%
20091231 3
 
3.5%
20160715 2
 
2.3%
20190131 2
 
2.3%
20171107 2
 
2.3%
20111004 2
 
2.3%
20200311 2
 
2.3%
20151216 2
 
2.3%
20130910 1
 
1.2%
Other values (14) 14
 
16.3%
(Missing) 47
54.7%
ValueCountFrequency (%)
20060526 5
5.8%
20070110 1
 
1.2%
20091231 3
3.5%
20100430 1
 
1.2%
20100714 4
4.7%
20100914 1
 
1.2%
20111004 2
 
2.3%
20120227 1
 
1.2%
20120328 1
 
1.2%
20120601 1
 
1.2%
ValueCountFrequency (%)
20201230 1
1.2%
20200311 2
2.3%
20190131 2
2.3%
20181031 1
1.2%
20181004 1
1.2%
20180906 1
1.2%
20180321 1
1.2%
20171107 2
2.3%
20160715 2
2.3%
20160324 1
1.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
030700003070000-E19760000119761008200605264취소/말소/만료/정지/중지19사용중지20060526<NA><NA><NA><NA>76<NA>서울특별시 성북구 장위동 69-54<NA><NA>비상공동 정호수2006-05-26 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 성북구 장위동 69-54자치단체자체시설비상공동 정호수20060526
130700003070000-E1976000021976-05-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>137<NA>서울특별시 성북구 석관동 205번지서울특별시 성북구 돌곶이로22길 21 (석관동, 서울석관초등학교)02783석관초등학교2023-04-05 16:24:54U2022-12-04 00:07:00.0<NA>205155.139568456508.89183<NA><NA><NA><NA>
230700003070000-E19760000319760501200605264취소/말소/만료/정지/중지19사용중지20060526<NA><NA><NA><NA>0<NA>성북구 석관1동 205<NA><NA>비상급수시설2006-05-26 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA>성북구 석관1동 205정부지원시설비상급수시설20060526
330700003070000-E19760000419760705<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>137<NA>서울특별시 성북구 장위동 124번지 1호서울특별시 성북구 한천로95길 28 (장위동, 남대문중학교)02763남대문중학교 비상급수시설2022-07-20 10:00:55U2021-12-06 22:02:00.0<NA>204871.109362457340.237056<NA><NA><NA><NA>
430700003070000-E19770000119771216<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>137<NA>서울특별시 성북구 종암동 7번지 10호서울특별시 성북구 월곡로 36 (종암동, 서울대학교사범대학부설중학교)02796서울사대부속중학교2017-04-25 11:21:27I2018-08-31 23:59:59.0<NA>203337.697885454651.812943서울특별시 성북구 종암동 7번지 10호정부지원시설서울사대부속중학교<NA>
530700003070000-E19770000219771216<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>350<NA>서울특별시 성북구 보문동7가 104번지서울특별시 성북구 보문로 52 (보문동7가, 동대문세무서)02859서울지방국세청 동대문별관 비상급수시설2017-04-25 11:06:01I2018-08-31 23:59:59.0<NA>201920.403561453099.142216서울특별시 성북구 보문동7가 104번지정부지원시설서울지방국세청 동대문별관 비상급수시설<NA>
630700003070000-E19770000319770705200701104취소/말소/만료/정지/중지19사용중지20070110<NA><NA><NA><NA>280<NA>서울특별시 성북구 삼선동5가 411번지 성북구청<NA><NA>성북구청 비상급수시설2007-11-12 17:37:43I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 성북구 삼선동5가 411번지 성북구청정부지원시설성북구청 비상급수시설20070110
730700003070000-E1977000041977-07-05<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>128<NA>서울특별시 성북구 석관동 409번지서울특별시 성북구 화랑로32길 146-20 (석관동, 문화재청의릉지구관리소)02789의릉관리사무소2023-04-05 16:27:18U2022-12-04 00:07:00.0<NA>204863.310848455720.784852<NA><NA><NA><NA>
830700003070000-E19900000119900501200605264취소/말소/만료/정지/중지19사용중지20060526<NA><NA><NA><NA>300<NA>서울특별시 성북구 보문동1가 9번지 3 호 성북주유소<NA><NA>성북전화국 비상급수시설2006-05-26 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 성북구 보문동1가 9번지 3 호 성북주유소민간시설성북전화국 비상급수시설20060526
930700003070000-E19910000119910501<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>137<NA>서울특별시 성북구 하월곡동 84번지 86호서울특별시 성북구 종암로40길 30 (하월곡동, 서울숭곡초등학교)02736숭곡초등학교2020-03-10 11:14:15U2020-03-12 02:40:00.0<NA>202824.212373456233.015195서울특별시 성북구 하월곡동 84번지 86호정부지원시설숭곡초등학교<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
7630700003070000-E20160000120160324<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>50<NA>서울특별시 성북구 동선동2가 34번지서울특별시 성북구 인촌로7길 88 (동선동2가, 미시간모텔)02849미시간모텔2017-04-25 15:50:51I2018-08-31 23:59:59.0<NA>201575.016673454108.428368서울특별시 성북구 동선동2가 34번지민간시설미시간모텔<NA>
7730700003070000-E20160000220160715<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>2300<NA>서울특별시 성북구 안암동5가 146-1 안암역서울특별시 성북구 고려대로 지하 89, 안암역 (안암동5가)02842안암역(6호선)2022-11-11 15:27:27U2021-10-31 23:03:00.0<NA>202524.654333453754.395333<NA><NA><NA><NA>
7830700003070000-E20170000120170912<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>152<NA>서울특별시 성북구 정릉동 229번지<NA><NA>성북생태체험관(2)2018-02-09 13:45:54I2018-08-31 23:59:59.0<NA>200533.587182457759.028831서울특별시 성북구 정릉동 229번지공공시설성북생태체험관(2)<NA>
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