Overview

Dataset statistics

Number of variables29
Number of observations112
Missing cells985
Missing cells (%)30.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.0 KiB
Average record size in memory247.2 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
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-20024/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 56 (50.0%) missing valuesMissing
폐업일자 has 56 (50.0%) missing valuesMissing
휴업시작일자 has 112 (100.0%) missing valuesMissing
휴업종료일자 has 112 (100.0%) missing valuesMissing
재개업일자 has 112 (100.0%) missing valuesMissing
전화번호 has 112 (100.0%) missing valuesMissing
소재지우편번호 has 112 (100.0%) missing valuesMissing
도로명주소 has 28 (25.0%) missing valuesMissing
도로명우편번호 has 29 (25.9%) missing valuesMissing
업태구분명 has 112 (100.0%) missing valuesMissing
좌표정보(X) has 22 (19.6%) missing valuesMissing
좌표정보(Y) has 22 (19.6%) missing valuesMissing
비상시설위치 has 18 (16.1%) missing valuesMissing
시설명_건물명 has 17 (15.2%) missing valuesMissing
해제일자 has 64 (57.1%) 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 2 (1.8%) zerosZeros

Reproduction

Analysis started2024-05-11 06:44:43.855071
Analysis finished2024-05-11 06:44:44.707941
Duration0.85 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
3220000
112 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 112
100.0%

Length

2024-05-11T15:44:44.790349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:44.917600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 112
100.0%

관리번호
Text

UNIQUE 

Distinct112
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-05-11T15:44:45.164034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters2016
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

Unique112 ?
Unique (%)100.0%

Sample

1st row3220000-E197300001
2nd row3220000-E198200001
3rd row3220000-E198200002
4th row3220000-E198300001
5th row3220000-E198300002
ValueCountFrequency (%)
3220000-e197300001 1
 
0.9%
3220000-e198200001 1
 
0.9%
3220000-e200800007 1
 
0.9%
3220000-e200800006 1
 
0.9%
3220000-e200800005 1
 
0.9%
3220000-e200800001 1
 
0.9%
3220000-e200700005 1
 
0.9%
3220000-e200700003 1
 
0.9%
3220000-e200700002 1
 
0.9%
3220000-e200700001 1
 
0.9%
Other values (102) 102
91.1%
2024-05-11T15:44:45.642689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 978
48.5%
2 313
 
15.5%
3 131
 
6.5%
1 126
 
6.2%
- 112
 
5.6%
E 112
 
5.6%
9 106
 
5.3%
8 42
 
2.1%
7 35
 
1.7%
5 24
 
1.2%
Other values (2) 37
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1792
88.9%
Dash Punctuation 112
 
5.6%
Uppercase Letter 112
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 978
54.6%
2 313
 
17.5%
3 131
 
7.3%
1 126
 
7.0%
9 106
 
5.9%
8 42
 
2.3%
7 35
 
2.0%
5 24
 
1.3%
4 19
 
1.1%
6 18
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 112
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1904
94.4%
Latin 112
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 978
51.4%
2 313
 
16.4%
3 131
 
6.9%
1 126
 
6.6%
- 112
 
5.9%
9 106
 
5.6%
8 42
 
2.2%
7 35
 
1.8%
5 24
 
1.3%
4 19
 
1.0%
Latin
ValueCountFrequency (%)
E 112
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2016
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 978
48.5%
2 313
 
15.5%
3 131
 
6.5%
1 126
 
6.2%
- 112
 
5.6%
E 112
 
5.6%
9 106
 
5.3%
8 42
 
2.1%
7 35
 
1.7%
5 24
 
1.2%
Other values (2) 37
 
1.8%

인허가일자
Date

Distinct72
Distinct (%)64.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum1973-05-01 00:00:00
Maximum2024-02-02 00:00:00
2024-05-11T15:44:45.926353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:44:46.179004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct37
Distinct (%)66.1%
Missing56
Missing (%)50.0%
Memory size1.0 KiB
Minimum2006-06-12 00:00:00
Maximum2024-01-19 00:00:00
2024-05-11T15:44:46.401164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:44:46.579095image/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
56 
1
56 

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 56
50.0%
1 56
50.0%

Length

2024-05-11T15:44:46.768955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:46.913683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 56
50.0%
1 56
50.0%

영업상태명
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
취소/말소/만료/정지/중지
56 
영업/정상
56 

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 row취소/말소/만료/정지/중지
5th row영업/정상

Common Values

ValueCountFrequency (%)
취소/말소/만료/정지/중지 56
50.0%
영업/정상 56
50.0%

Length

2024-05-11T15:44:47.071005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:47.212604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취소/말소/만료/정지/중지 56
50.0%
영업/정상 56
50.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
19
56 
18
56 

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 56
50.0%
18 56
50.0%

Length

2024-05-11T15:44:47.374967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:47.525703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19 56
50.0%
18 56
50.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
사용중지
56 
사용중
56 

Length

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

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용중지 56
50.0%
사용중 56
50.0%

Length

2024-05-11T15:44:47.694459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:47.859491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중지 56
50.0%
사용중 56
50.0%

폐업일자
Date

MISSING 

Distinct37
Distinct (%)66.1%
Missing56
Missing (%)50.0%
Memory size1.0 KiB
Minimum2006-06-12 00:00:00
Maximum2024-01-19 00:00:00
2024-05-11T15:44:47.977675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:44:48.141508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

소재지면적
Real number (ℝ)

ZEROS 

Distinct52
Distinct (%)46.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean193.23393
Minimum0
Maximum6016
Zeros2
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T15:44:48.320577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile33
Q172
median90
Q3200
95-th percentile480.7
Maximum6016
Range6016
Interquartile range (IQR)128

Descriptive statistics

Standard deviation569.49536
Coefficient of variation (CV)2.947181
Kurtosis100.84947
Mean193.23393
Median Absolute Deviation (MAD)36.5
Skewness9.8094628
Sum21642.2
Variance324324.97
MonotonicityNot monotonic
2024-05-11T15:44:48.498213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.0 11
 
9.8%
50.0 10
 
8.9%
80.0 8
 
7.1%
100.0 6
 
5.4%
200.0 6
 
5.4%
98.0 6
 
5.4%
85.0 3
 
2.7%
82.0 3
 
2.7%
55.0 3
 
2.7%
270.0 3
 
2.7%
Other values (42) 53
47.3%
ValueCountFrequency (%)
0.0 2
 
1.8%
2.0 1
 
0.9%
20.0 1
 
0.9%
32.0 1
 
0.9%
33.0 2
 
1.8%
40.0 3
 
2.7%
45.0 1
 
0.9%
50.0 10
8.9%
52.0 1
 
0.9%
55.0 3
 
2.7%
ValueCountFrequency (%)
6016.0 1
0.9%
600.0 1
0.9%
550.0 1
0.9%
500.0 2
1.8%
484.0 1
0.9%
478.0 1
0.9%
432.0 1
0.9%
392.0 1
0.9%
360.0 1
0.9%
350.0 2
1.8%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

지번주소
Text

Distinct111
Distinct (%)100.0%
Missing1
Missing (%)0.9%
Memory size1.0 KiB
2024-05-11T15:44:48.914989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length32
Mean length22.27027
Min length13

Characters and Unicode

Total characters2472
Distinct characters87
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique111 ?
Unique (%)100.0%

Sample

1st row서울특별시 강남구 청담동 23번지 4 호
2nd row서울특별시 강남구 신사동 550번지 11호
3rd row서울특별시 강남구 신사동 614번지 1호
4th row서울특별시 강남구 일원동 689번지 5 호
5th row서울특별시 강남구 압구정동 461번지
ValueCountFrequency (%)
서울특별시 111
20.6%
강남구 111
20.6%
삼성동 18
 
3.3%
호 16
 
3.0%
역삼동 14
 
2.6%
청담동 12
 
2.2%
대치동 11
 
2.0%
개포동 11
 
2.0%
논현동 11
 
2.0%
1호 9
 
1.7%
Other values (154) 214
39.8%
2024-05-11T15:44:49.550956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
492
19.9%
서 115
 
4.7%
구 114
 
4.6%
동 113
 
4.6%
남 112
 
4.5%
울 112
 
4.5%
특 111
 
4.5%
별 111
 
4.5%
시 111
 
4.5%
강 111
 
4.5%
Other values (77) 970
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1568
63.4%
Space Separator 492
 
19.9%
Decimal Number 404
 
16.3%
Dash Punctuation 4
 
0.2%
Uppercase Letter 2
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 115
 
7.3%
구 114
 
7.3%
동 113
 
7.2%
남 112
 
7.1%
울 112
 
7.1%
특 111
 
7.1%
별 111
 
7.1%
시 111
 
7.1%
강 111
 
7.1%
지 105
 
6.7%
Other values (61) 453
28.9%
Decimal Number
ValueCountFrequency (%)
1 74
18.3%
6 54
13.4%
2 41
10.1%
8 39
9.7%
5 37
9.2%
7 36
8.9%
9 32
7.9%
3 32
7.9%
0 30
7.4%
4 29
 
7.2%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
M 1
50.0%
Space Separator
ValueCountFrequency (%)
492
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1568
63.4%
Common 902
36.5%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 115
 
7.3%
구 114
 
7.3%
동 113
 
7.2%
남 112
 
7.1%
울 112
 
7.1%
특 111
 
7.1%
별 111
 
7.1%
시 111
 
7.1%
강 111
 
7.1%
지 105
 
6.7%
Other values (61) 453
28.9%
Common
ValueCountFrequency (%)
492
54.5%
1 74
 
8.2%
6 54
 
6.0%
2 41
 
4.5%
8 39
 
4.3%
5 37
 
4.1%
7 36
 
4.0%
9 32
 
3.5%
3 32
 
3.5%
0 30
 
3.3%
Other values (4) 35
 
3.9%
Latin
ValueCountFrequency (%)
K 1
50.0%
M 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1568
63.4%
ASCII 904
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
492
54.4%
1 74
 
8.2%
6 54
 
6.0%
2 41
 
4.5%
8 39
 
4.3%
5 37
 
4.1%
7 36
 
4.0%
9 32
 
3.5%
3 32
 
3.5%
0 30
 
3.3%
Other values (6) 37
 
4.1%
Hangul
ValueCountFrequency (%)
서 115
 
7.3%
구 114
 
7.3%
동 113
 
7.2%
남 112
 
7.1%
울 112
 
7.1%
특 111
 
7.1%
별 111
 
7.1%
시 111
 
7.1%
강 111
 
7.1%
지 105
 
6.7%
Other values (61) 453
28.9%

도로명주소
Text

MISSING 

Distinct83
Distinct (%)98.8%
Missing28
Missing (%)25.0%
Memory size1.0 KiB
2024-05-11T15:44:49.887458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length36
Mean length30.357143
Min length23

Characters and Unicode

Total characters2550
Distinct characters172
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

Unique82 ?
Unique (%)97.6%

Sample

1st row서울특별시 강남구 압구정로18길 28 (신사동, 신구초등학교)
2nd row서울특별시 강남구 압구정로 206 (신사동)
3rd row서울특별시 강남구 개포로110길 46 (일원동)
4th row서울특별시 강남구 압구정로39길 29 (압구정동, 압구정초등학교)
5th row서울특별시 강남구 삼성로58길 9 (대치동)
ValueCountFrequency (%)
서울특별시 84
 
17.2%
강남구 84
 
17.2%
삼성동 16
 
3.3%
개포동 11
 
2.3%
논현동 9
 
1.8%
청담동 9
 
1.8%
역삼동 9
 
1.8%
영동대로 8
 
1.6%
언주로 8
 
1.6%
대치동 7
 
1.4%
Other values (185) 242
49.7%
2024-05-11T15:44:50.499095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
403
 
15.8%
동 109
 
4.3%
구 96
 
3.8%
서 89
 
3.5%
남 89
 
3.5%
강 87
 
3.4%
울 86
 
3.4%
로 85
 
3.3%
시 85
 
3.3%
) 84
 
3.3%
Other values (162) 1337
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1627
63.8%
Space Separator 403
 
15.8%
Decimal Number 289
 
11.3%
Close Punctuation 84
 
3.3%
Open Punctuation 84
 
3.3%
Other Punctuation 60
 
2.4%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 109
 
6.7%
구 96
 
5.9%
서 89
 
5.5%
남 89
 
5.5%
강 87
 
5.3%
울 86
 
5.3%
로 85
 
5.2%
시 85
 
5.2%
특 84
 
5.2%
별 84
 
5.2%
Other values (147) 733
45.1%
Decimal Number
ValueCountFrequency (%)
1 67
23.2%
2 36
12.5%
4 34
11.8%
3 26
 
9.0%
6 26
 
9.0%
0 24
 
8.3%
8 20
 
6.9%
5 20
 
6.9%
7 18
 
6.2%
9 18
 
6.2%
Space Separator
ValueCountFrequency (%)
403
100.0%
Close Punctuation
ValueCountFrequency (%)
) 84
100.0%
Open Punctuation
ValueCountFrequency (%)
( 84
100.0%
Other Punctuation
ValueCountFrequency (%)
, 60
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1627
63.8%
Common 923
36.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 109
 
6.7%
구 96
 
5.9%
서 89
 
5.5%
남 89
 
5.5%
강 87
 
5.3%
울 86
 
5.3%
로 85
 
5.2%
시 85
 
5.2%
특 84
 
5.2%
별 84
 
5.2%
Other values (147) 733
45.1%
Common
ValueCountFrequency (%)
403
43.7%
) 84
 
9.1%
( 84
 
9.1%
1 67
 
7.3%
, 60
 
6.5%
2 36
 
3.9%
4 34
 
3.7%
3 26
 
2.8%
6 26
 
2.8%
0 24
 
2.6%
Other values (5) 79
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1627
63.8%
ASCII 923
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
403
43.7%
) 84
 
9.1%
( 84
 
9.1%
1 67
 
7.3%
, 60
 
6.5%
2 36
 
3.9%
4 34
 
3.7%
3 26
 
2.8%
6 26
 
2.8%
0 24
 
2.6%
Other values (5) 79
 
8.6%
Hangul
ValueCountFrequency (%)
동 109
 
6.7%
구 96
 
5.9%
서 89
 
5.5%
남 89
 
5.5%
강 87
 
5.3%
울 86
 
5.3%
로 85
 
5.2%
시 85
 
5.2%
특 84
 
5.2%
별 84
 
5.2%
Other values (147) 733
45.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct72
Distinct (%)86.7%
Missing29
Missing (%)25.9%
Infinite0
Infinite (%)0.0%
Mean31173.096
Minimum6003
Maximum135958
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T15:44:50.668834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6003
5-th percentile6013.2
Q16105
median6252
Q36346
95-th percentile135915.6
Maximum135958
Range129955
Interquartile range (IQR)241

Descriptive statistics

Standard deviation51432.927
Coefficient of variation (CV)1.649914
Kurtosis0.5291232
Mean31173.096
Median Absolute Deviation (MAD)119
Skewness1.5864749
Sum2587367
Variance2.645346 × 109
MonotonicityNot monotonic
2024-05-11T15:44:50.861489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6321 3
 
2.7%
6331 3
 
2.7%
6239 2
 
1.8%
6310 2
 
1.8%
6120 2
 
1.8%
6193 2
 
1.8%
6346 2
 
1.8%
6162 2
 
1.8%
6072 2
 
1.8%
6345 1
 
0.9%
Other values (62) 62
55.4%
(Missing) 29
25.9%
ValueCountFrequency (%)
6003 1
0.9%
6004 1
0.9%
6009 1
0.9%
6012 1
0.9%
6013 1
0.9%
6015 1
0.9%
6017 1
0.9%
6023 1
0.9%
6027 1
0.9%
6029 1
0.9%
ValueCountFrequency (%)
135958 1
0.9%
135954 1
0.9%
135946 1
0.9%
135933 1
0.9%
135918 1
0.9%
135894 1
0.9%
135880 1
0.9%
135854 1
0.9%
135843 1
0.9%
135821 1
0.9%

사업장명
Text

Distinct110
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-05-11T15:44:51.218217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17.5
Mean length8
Min length2

Characters and Unicode

Total characters896
Distinct characters232
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique108 ?
Unique (%)96.4%

Sample

1st row영동고교
2nd row신구초등학교
3rd row영진호텔(팜그린)
4th row일원동689-5 현대아파트내
5th row압구정초등학교
ValueCountFrequency (%)
옆 4
 
2.7%
학동역 2
 
1.3%
개포 2
 
1.3%
내 2
 
1.3%
힐스테이트 2
 
1.3%
세곡동 2
 
1.3%
삼원가든 2
 
1.3%
래미안 1
 
0.7%
강남포레스트 1
 
0.7%
삼일프라자 1
 
0.7%
Other values (130) 130
87.2%
2024-05-11T15:44:52.050544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 37
 
4.1%
( 37
 
4.1%
37
 
4.1%
동 21
 
2.3%
원 20
 
2.2%
딩 20
 
2.2%
빌 20
 
2.2%
주 18
 
2.0%
스 17
 
1.9%
지 16
 
1.8%
Other values (222) 653
72.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 732
81.7%
Decimal Number 39
 
4.4%
Close Punctuation 37
 
4.1%
Open Punctuation 37
 
4.1%
Space Separator 37
 
4.1%
Uppercase Letter 10
 
1.1%
Dash Punctuation 3
 
0.3%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 21
 
2.9%
원 20
 
2.7%
딩 20
 
2.7%
빌 20
 
2.7%
주 18
 
2.5%
스 17
 
2.3%
지 16
 
2.2%
아 16
 
2.2%
공 13
 
1.8%
수 13
 
1.8%
Other values (199) 558
76.2%
Decimal Number
ValueCountFrequency (%)
1 14
35.9%
2 7
17.9%
5 4
 
10.3%
0 4
 
10.3%
4 3
 
7.7%
8 2
 
5.1%
9 2
 
5.1%
6 1
 
2.6%
7 1
 
2.6%
3 1
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
S 2
20.0%
M 2
20.0%
K 1
10.0%
O 1
10.0%
T 1
10.0%
F 1
10.0%
C 1
10.0%
N 1
10.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Space Separator
ValueCountFrequency (%)
37
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Letter Number
ValueCountFrequency (%)
ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 732
81.7%
Common 153
 
17.1%
Latin 11
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 21
 
2.9%
원 20
 
2.7%
딩 20
 
2.7%
빌 20
 
2.7%
주 18
 
2.5%
스 17
 
2.3%
지 16
 
2.2%
아 16
 
2.2%
공 13
 
1.8%
수 13
 
1.8%
Other values (199) 558
76.2%
Common
ValueCountFrequency (%)
) 37
24.2%
( 37
24.2%
37
24.2%
1 14
 
9.2%
2 7
 
4.6%
5 4
 
2.6%
0 4
 
2.6%
- 3
 
2.0%
4 3
 
2.0%
8 2
 
1.3%
Other values (4) 5
 
3.3%
Latin
ValueCountFrequency (%)
S 2
18.2%
M 2
18.2%
K 1
9.1%
ⅱ 1
9.1%
O 1
9.1%
T 1
9.1%
F 1
9.1%
C 1
9.1%
N 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 732
81.7%
ASCII 163
 
18.2%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 37
22.7%
( 37
22.7%
37
22.7%
1 14
 
8.6%
2 7
 
4.3%
5 4
 
2.5%
0 4
 
2.5%
- 3
 
1.8%
4 3
 
1.8%
S 2
 
1.2%
Other values (12) 15
9.2%
Hangul
ValueCountFrequency (%)
동 21
 
2.9%
원 20
 
2.7%
딩 20
 
2.7%
빌 20
 
2.7%
주 18
 
2.5%
스 17
 
2.3%
지 16
 
2.2%
아 16
 
2.2%
공 13
 
1.8%
수 13
 
1.8%
Other values (199) 558
76.2%
Number Forms
ValueCountFrequency (%)
ⅱ 1
100.0%

최종수정일자
Date

Distinct102
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2006-11-06 00:00:00
Maximum2024-03-11 10:37:02
2024-05-11T15:44:52.288264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:44:52.503785image/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
92 
U
20 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 92
82.1%
U 20
 
17.9%

Length

2024-05-11T15:44:52.682589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:52.815846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 92
82.1%
u 20
 
17.9%

데이터갱신일자
Date

Distinct18
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-02 23:03:00
2024-05-11T15:44:52.938601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:44:53.095962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct87
Distinct (%)96.7%
Missing22
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean204796.75
Minimum201646.39
Maximum209260.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T15:44:53.286436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201646.39
5-th percentile202334.77
Q1203449.09
median204607.34
Q3205594.74
95-th percentile208290.39
Maximum209260.8
Range7614.4145
Interquartile range (IQR)2145.6539

Descriptive statistics

Standard deviation1793.5689
Coefficient of variation (CV)0.0087577998
Kurtosis-0.17051318
Mean204796.75
Median Absolute Deviation (MAD)1129.1441
Skewness0.57230051
Sum18431707
Variance3216889.5
MonotonicityNot monotonic
2024-05-11T15:44:53.482854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
206239.623997375 2
 
1.8%
205137.172932747 2
 
1.8%
202739.437721334 2
 
1.8%
204721.445761221 1
 
0.9%
204690.660161464 1
 
0.9%
204819.34560229 1
 
0.9%
209260.799930773 1
 
0.9%
208920.481639979 1
 
0.9%
205130.591678902 1
 
0.9%
205047.330843446 1
 
0.9%
Other values (77) 77
68.8%
(Missing) 22
 
19.6%
ValueCountFrequency (%)
201646.385389914 1
0.9%
201715.095225261 1
0.9%
202068.297671494 1
0.9%
202111.704194522 1
0.9%
202162.281625975 1
0.9%
202545.595431159 1
0.9%
202641.61 1
0.9%
202662.145834057 1
0.9%
202739.437721334 2
1.8%
202760.562713848 1
0.9%
ValueCountFrequency (%)
209260.799930773 1
0.9%
208920.481639979 1
0.9%
208827.126868135 1
0.9%
208584.203590239 1
0.9%
208384.701334292 1
0.9%
208175.124258771 1
0.9%
208142.228896452 1
0.9%
207814.419913537 1
0.9%
207713.877088764 1
0.9%
207514.398292441 1
0.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct87
Distinct (%)96.7%
Missing22
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean444496.65
Minimum440493.1
Maximum447684.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T15:44:53.669959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440493.1
5-th percentile441551.9
Q1442887.32
median444761.93
Q3446014.44
95-th percentile447249.25
Maximum447684.31
Range7191.2094
Interquartile range (IQR)3127.1178

Descriptive statistics

Standard deviation1850.136
Coefficient of variation (CV)0.0041623171
Kurtosis-1.0252513
Mean444496.65
Median Absolute Deviation (MAD)1572.5765
Skewness-0.14070949
Sum40004699
Variance3423003.3
MonotonicityNot monotonic
2024-05-11T15:44:53.854563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442598.51298973 2
 
1.8%
442329.621421183 2
 
1.8%
445786.44928266 2
 
1.8%
441815.822474066 1
 
0.9%
447075.512360873 1
 
0.9%
446662.792093523 1
 
0.9%
440934.812128081 1
 
0.9%
443187.211074295 1
 
0.9%
445590.096837802 1
 
0.9%
446384.393861544 1
 
0.9%
Other values (77) 77
68.8%
(Missing) 22
 
19.6%
ValueCountFrequency (%)
440493.0991432 1
0.9%
440934.812128081 1
0.9%
440945.233322024 1
0.9%
441206.009089343 1
0.9%
441335.960754643 1
0.9%
441815.822474066 1
0.9%
441985.8431365 1
0.9%
442026.244187861 1
0.9%
442188.750202169 1
0.9%
442255.239058195 1
0.9%
ValueCountFrequency (%)
447684.308574677 1
0.9%
447629.293493346 1
0.9%
447371.866295615 1
0.9%
447285.809908935 1
0.9%
447263.406195041 1
0.9%
447231.954885143 1
0.9%
447135.383927941 1
0.9%
447075.512360873 1
0.9%
446970.562100973 1
0.9%
446917.759466758 1
0.9%

비상시설위치
Text

MISSING 

Distinct94
Distinct (%)100.0%
Missing18
Missing (%)16.1%
Memory size1.0 KiB
2024-05-11T15:44:54.276428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length32
Mean length22.06383
Min length13

Characters and Unicode

Total characters2074
Distinct characters66
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)100.0%

Sample

1st row서울특별시 강남구 청담동 23번지 4 호
2nd row서울특별시 강남구 신사동 550번지 11호
3rd row서울특별시 강남구 신사동 614번지 1호
4th row서울특별시 강남구 일원동 689번지 5 호
5th row서울특별시 강남구 논현동 59번지
ValueCountFrequency (%)
서울특별시 94
20.8%
강남구 94
20.8%
호 16
 
3.5%
삼성동 14
 
3.1%
역삼동 13
 
2.9%
대치동 11
 
2.4%
청담동 11
 
2.4%
논현동 10
 
2.2%
1호 8
 
1.8%
개포동 8
 
1.8%
Other values (128) 174
38.4%
2024-05-11T15:44:54.964210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
424
20.4%
서 97
 
4.7%
구 96
 
4.6%
동 95
 
4.6%
남 95
 
4.6%
울 95
 
4.6%
특 94
 
4.5%
별 94
 
4.5%
시 94
 
4.5%
강 94
 
4.5%
Other values (56) 796
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1303
62.8%
Space Separator 424
 
20.4%
Decimal Number 341
 
16.4%
Dash Punctuation 2
 
0.1%
Uppercase Letter 2
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 97
 
7.4%
구 96
 
7.4%
동 95
 
7.3%
남 95
 
7.3%
울 95
 
7.3%
특 94
 
7.2%
별 94
 
7.2%
시 94
 
7.2%
강 94
 
7.2%
지 93
 
7.1%
Other values (40) 356
27.3%
Decimal Number
ValueCountFrequency (%)
1 60
17.6%
6 42
12.3%
2 36
10.6%
8 35
10.3%
5 35
10.3%
3 29
8.5%
9 28
8.2%
7 27
7.9%
0 26
7.6%
4 23
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
M 1
50.0%
Space Separator
ValueCountFrequency (%)
424
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 1303
62.8%
Common 769
37.1%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 97
 
7.4%
구 96
 
7.4%
동 95
 
7.3%
남 95
 
7.3%
울 95
 
7.3%
특 94
 
7.2%
별 94
 
7.2%
시 94
 
7.2%
강 94
 
7.2%
지 93
 
7.1%
Other values (40) 356
27.3%
Common
ValueCountFrequency (%)
424
55.1%
1 60
 
7.8%
6 42
 
5.5%
2 36
 
4.7%
8 35
 
4.6%
5 35
 
4.6%
3 29
 
3.8%
9 28
 
3.6%
7 27
 
3.5%
0 26
 
3.4%
Other values (4) 27
 
3.5%
Latin
ValueCountFrequency (%)
K 1
50.0%
M 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1303
62.8%
ASCII 771
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
424
55.0%
1 60
 
7.8%
6 42
 
5.4%
2 36
 
4.7%
8 35
 
4.5%
5 35
 
4.5%
3 29
 
3.8%
9 28
 
3.6%
7 27
 
3.5%
0 26
 
3.4%
Other values (6) 29
 
3.8%
Hangul
ValueCountFrequency (%)
서 97
 
7.4%
구 96
 
7.4%
동 95
 
7.3%
남 95
 
7.3%
울 95
 
7.3%
특 94
 
7.2%
별 94
 
7.2%
시 94
 
7.2%
강 94
 
7.2%
지 93
 
7.1%
Other values (40) 356
27.3%

시설구분명
Categorical

Distinct5
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
민간시설
67 
<NA>
17 
공공시설
15 
자치단체자체시설
11 
정부지원시설
 
2

Length

Max length8
Median length4
Mean length4.4285714
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
민간시설 67
59.8%
<NA> 17
 
15.2%
공공시설 15
 
13.4%
자치단체자체시설 11
 
9.8%
정부지원시설 2
 
1.8%

Length

2024-05-11T15:44:55.180759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:55.344703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간시설 67
59.8%
na 17
 
15.2%
공공시설 15
 
13.4%
자치단체자체시설 11
 
9.8%
정부지원시설 2
 
1.8%

시설명_건물명
Text

MISSING 

Distinct95
Distinct (%)100.0%
Missing17
Missing (%)15.2%
Memory size1.0 KiB
2024-05-11T15:44:55.642272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length7.9684211
Min length3

Characters and Unicode

Total characters757
Distinct characters218
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)100.0%

Sample

1st row영동고교
2nd row신구초등학교
3rd row영진호텔(팜그린)
4th row일원동689-5 현대아파트내
5th row안세병원
ValueCountFrequency (%)
옆 3
 
2.5%
힐스테이트 2
 
1.7%
세곡동 2
 
1.7%
영동고교 1
 
0.8%
한국섬유산업연합회 1
 
0.8%
삼일프라자 1
 
0.8%
블루펄관광호텔 1
 
0.8%
주)일진실업(스포월드 1
 
0.8%
내 1
 
0.8%
2단지(학봉공원 1
 
0.8%
Other values (105) 105
88.2%
2024-05-11T15:44:56.166103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 35
 
4.6%
) 35
 
4.6%
24
 
3.2%
딩 19
 
2.5%
빌 19
 
2.5%
동 16
 
2.1%
주 16
 
2.1%
원 14
 
1.8%
스 14
 
1.8%
지 14
 
1.8%
Other values (208) 551
72.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 621
82.0%
Open Punctuation 35
 
4.6%
Close Punctuation 35
 
4.6%
Decimal Number 31
 
4.1%
Space Separator 24
 
3.2%
Uppercase Letter 8
 
1.1%
Dash Punctuation 2
 
0.3%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
딩 19
 
3.1%
빌 19
 
3.1%
동 16
 
2.6%
주 16
 
2.6%
원 14
 
2.3%
스 14
 
2.3%
지 14
 
2.3%
아 14
 
2.3%
공 12
 
1.9%
수 11
 
1.8%
Other values (186) 472
76.0%
Decimal Number
ValueCountFrequency (%)
1 9
29.0%
2 7
22.6%
0 4
12.9%
5 3
 
9.7%
8 2
 
6.5%
4 2
 
6.5%
9 2
 
6.5%
6 1
 
3.2%
3 1
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
K 1
12.5%
M 1
12.5%
N 1
12.5%
C 1
12.5%
S 1
12.5%
O 1
12.5%
F 1
12.5%
T 1
12.5%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Letter Number
ValueCountFrequency (%)
ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 621
82.0%
Common 127
 
16.8%
Latin 9
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
딩 19
 
3.1%
빌 19
 
3.1%
동 16
 
2.6%
주 16
 
2.6%
원 14
 
2.3%
스 14
 
2.3%
지 14
 
2.3%
아 14
 
2.3%
공 12
 
1.9%
수 11
 
1.8%
Other values (186) 472
76.0%
Common
ValueCountFrequency (%)
( 35
27.6%
) 35
27.6%
24
18.9%
1 9
 
7.1%
2 7
 
5.5%
0 4
 
3.1%
5 3
 
2.4%
8 2
 
1.6%
- 2
 
1.6%
4 2
 
1.6%
Other values (3) 4
 
3.1%
Latin
ValueCountFrequency (%)
K 1
11.1%
M 1
11.1%
ⅱ 1
11.1%
N 1
11.1%
C 1
11.1%
S 1
11.1%
O 1
11.1%
F 1
11.1%
T 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 621
82.0%
ASCII 135
 
17.8%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 35
25.9%
) 35
25.9%
24
17.8%
1 9
 
6.7%
2 7
 
5.2%
0 4
 
3.0%
5 3
 
2.2%
8 2
 
1.5%
- 2
 
1.5%
4 2
 
1.5%
Other values (11) 12
 
8.9%
Hangul
ValueCountFrequency (%)
딩 19
 
3.1%
빌 19
 
3.1%
동 16
 
2.6%
주 16
 
2.6%
원 14
 
2.3%
스 14
 
2.3%
지 14
 
2.3%
아 14
 
2.3%
공 12
 
1.9%
수 11
 
1.8%
Other values (186) 472
76.0%
Number Forms
ValueCountFrequency (%)
ⅱ 1
100.0%

해제일자
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)70.8%
Missing64
Missing (%)57.1%
Infinite0
Infinite (%)0.0%
Mean20129330
Minimum20060612
Maximum20201214
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T15:44:56.350816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060612
5-th percentile20061116
Q120070703
median20141217
Q320170240
95-th percentile20200573
Maximum20201214
Range140602
Interquartile range (IQR)99536.75

Descriptive statistics

Standard deviation45654.696
Coefficient of variation (CV)0.0022680684
Kurtosis-1.1884822
Mean20129330
Median Absolute Deviation (MAD)29808.5
Skewness-0.23135404
Sum9.6620784 × 108
Variance2.0843513 × 109
MonotonicityNot monotonic
2024-05-11T15:44:56.526487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
20141217 10
 
8.9%
20070703 5
 
4.5%
20061124 2
 
1.8%
20201214 1
 
0.9%
20141126 1
 
0.9%
20170314 1
 
0.9%
20070126 1
 
0.9%
20170720 1
 
0.9%
20110321 1
 
0.9%
20100104 1
 
0.9%
Other values (24) 24
 
21.4%
(Missing) 64
57.1%
ValueCountFrequency (%)
20060612 1
 
0.9%
20060719 1
 
0.9%
20061114 1
 
0.9%
20061121 1
 
0.9%
20061124 2
 
1.8%
20070126 1
 
0.9%
20070319 1
 
0.9%
20070703 5
4.5%
20100104 1
 
0.9%
20100802 1
 
0.9%
ValueCountFrequency (%)
20201214 1
0.9%
20201028 1
0.9%
20200608 1
0.9%
20200508 1
0.9%
20180910 1
0.9%
20180130 1
0.9%
20180110 1
0.9%
20171026 1
0.9%
20171025 1
0.9%
20170720 1
0.9%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
032200003220000-E19730000119730501200703194취소/말소/만료/정지/중지19사용중지20070319<NA><NA><NA><NA>350.0<NA>서울특별시 강남구 청담동 23번지 4 호<NA><NA>영동고교2007-07-18 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 강남구 청담동 23번지 4 호공공시설영동고교20070319
132200003220000-E19820000119821230<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>200.0<NA>서울특별시 강남구 신사동 550번지 11호서울특별시 강남구 압구정로18길 28 (신사동, 신구초등학교)6029신구초등학교2018-02-27 14:42:31I2018-08-31 23:59:59.0<NA>202068.297671446764.944152서울특별시 강남구 신사동 550번지 11호정부지원시설신구초등학교<NA>
232200003220000-E19820000219820501201412174취소/말소/만료/정지/중지19사용중지20141217<NA><NA><NA><NA>90.0<NA>서울특별시 강남구 신사동 614번지 1호서울특별시 강남구 압구정로 206 (신사동)135894영진호텔(팜그린)2014-12-17 14:41:07I2018-08-31 23:59:59.0<NA>202545.595431447231.954885서울특별시 강남구 신사동 614번지 1호민간시설영진호텔(팜그린)20141217
332200003220000-E19830000119830101201604084취소/말소/만료/정지/중지19사용중지20160408<NA><NA><NA><NA>50.0<NA>서울특별시 강남구 일원동 689번지 5 호서울특별시 강남구 개포로110길 46 (일원동)135946일원동689-5 현대아파트내2016-04-19 11:12:40I2018-08-31 23:59:59.0<NA>207064.246521443140.76815서울특별시 강남구 일원동 689번지 5 호민간시설일원동689-5 현대아파트내20160408
432200003220000-E1983000021983-11-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>340.0<NA>서울특별시 강남구 압구정동 461번지서울특별시 강남구 압구정로39길 29 (압구정동, 압구정초등학교)6004압구정초등학교2023-03-28 16:02:36U2022-12-02 21:00:00.0<NA>202662.145834447684.308575<NA><NA><NA><NA>
532200003220000-E19840000219840101200606124취소/말소/만료/정지/중지19사용중지20060612<NA><NA><NA><NA>100.0<NA>서울특별시 강남구 논현동 59번지<NA><NA>안세병원2006-11-06 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 강남구 논현동 59번지민간시설안세병원20060612
632200003220000-E19850000119850103201412174취소/말소/만료/정지/중지19사용중지20141217<NA><NA><NA><NA>55.0<NA>서울특별시 강남구 대치동 989번지 5호서울특별시 강남구 삼성로58길 9 (대치동)135501삼보빌딩(옛골참숫유황오리)2014-12-17 14:46:37I2018-08-31 23:59:59.0<NA>205413.679785444059.557312서울특별시 강남구 대치동 989번지 5호민간시설삼보빌딩(옛골참숫유황오리)20141217
732200003220000-E1985000021985-01-012024-01-194취소/말소/만료/정지/중지19사용중지2024-01-19<NA><NA><NA><NA>392.0<NA>서울특별시 강남구 삼성동 171번지서울특별시 강남구 봉은사로114길 13 (삼성동, 서울의료원)6171삼성1동 171-1 서울의료원 강남분원2024-01-19 15:29:45U2023-11-30 22:01:00.0<NA>205789.494512445793.458669<NA><NA><NA><NA>
832200003220000-E19850000319850101200707034취소/말소/만료/정지/중지19사용중지20070703<NA><NA><NA><NA>360.0<NA>서울특별시 강남구 역삼동 823번지 호<NA><NA>풍림빌딩2007-07-18 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 강남구 역삼동 823번지 호민간시설풍림빌딩20070703
932200003220000-E19860000119860101<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>70.0<NA>서울특별시 강남구 논현동 200번지서울특별시 강남구 강남대로 478 (논현동, 제우빌딩)6120제우빌딩2017-03-23 16:25:13I2018-08-31 23:59:59.0<NA>202111.704195444765.956628서울특별시 강남구 논현동 200번지민간시설제우빌딩<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
10232200003220000-E20180000120180205<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>82.0<NA>서울특별시 강남구 삼성동 82번지서울특별시 강남구 영동대로128길 39 (삼성동)6079삼성배수지2018-02-06 09:20:51I2018-08-31 23:59:59.0<NA>205413.007231446402.763955서울특별시 강남구 삼성동 82번지공공시설삼성배수지<NA>
10332200003220000-E20180000220180205<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>33.0<NA>서울특별시 강남구 수서동 569번지<NA><NA>수서배수지2018-02-07 10:51:42I2018-08-31 23:59:59.0<NA>207814.419914442026.244188서울특별시 강남구 수서동 569번지공공시설수서배수지<NA>
10432200003220000-E20180000320180205<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>33.0<NA>서울특별시 강남구 삼성동 79번지 1호<NA><NA>봉은배수지2018-02-06 09:18:50I2018-08-31 23:59:59.0<NA>205357.794361446529.961954서울특별시 강남구 삼성동 79번지 1호공공시설봉은배수지<NA>
10532200003220000-E20180000420180205<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>2.0<NA>서울특별시 강남구 일원동 737번지 1호<NA><NA>일원본동배수지2018-02-06 09:23:21I2018-08-31 23:59:59.0<NA>207514.398292441985.843136서울특별시 강남구 일원동 737번지 1호공공시설일원본동배수지<NA>
10632200003220000-E20190000120190124<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>100.0<NA>서울특별시 강남구 대치동 16번지 1호<NA><NA>대치교옆 양재천 제방2019-01-25 17:17:19I2019-01-27 02:21:01.0<NA>206513.61164443881.855595서울특별시 강남구 대치동 16번지 1호정부지원시설대치교옆 양재천 제방<NA>
10732200003220000-E2021000012021-11-03<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>197.2<NA>서울특별시 강남구 일원동 743 디에이치 자이 개포서울특별시 강남구 영동대로 22(일원동, 디에이치 자이 개포)6346디에이치자이 개포2024-01-22 17:58:39U2023-11-30 22:04:00.0<NA>206573.648228443195.189239<NA><NA><NA><NA>
10832200003220000-E2022000012022-03-15<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>100.0<NA>서울특별시 강남구 개포동 656 달터근린공원 공원관리소서울특별시 강남구 언주로7길 44, 달터근린공원 공원관리소 (개포동)6310래미안 강남포레스트2024-02-15 10:46:46U2023-12-01 23:07:00.0<NA><NA><NA><NA><NA><NA><NA>
10932200003220000-E20220000220220805<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>270.0<NA>서울특별시 강남구 논현동 279-67 학동역서울특별시 강남구 학동로 지하180, 학동역 (논현동)6112학동역2022-08-09 11:04:57I2021-12-07 23:01:00.0<NA>202739.437721445786.449283<NA><NA><NA><NA>
11032200003220000-E2023000012023-04-26<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>203.0<NA>서울특별시 강남구 개포동 189 개포자이 프레지던스서울특별시 강남구 삼성로 14, 415동 (개포동, 개포자이 프레지던스)6331개포자이 프레지던스 415동 옆2023-05-12 10:45:46I2022-12-04 23:04:00.0<NA>206239.623997442598.51299<NA><NA><NA><NA>
11132200003220000-E2024000012024-02-02<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>200.0<NA>서울특별시 강남구 개포동 660-1 디에이치퍼스티어아이파크서울특별시 강남구 개포로 310 (개포동, 디에이치퍼스티어아이파크)6321개포 퍼스티어 아이파크2024-02-05 18:26:07I2023-12-02 00:07:00.0<NA>205137.172933442329.621421<NA><NA><NA><NA>