Overview

Dataset statistics

Number of variables30
Number of observations99
Missing cells1086
Missing cells (%)36.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.0 KiB
Average record size in memory258.3 B

Variable types

Categorical8
Numeric6
DateTime3
Unsupported8
Text5

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),사용목적,사용방법,월사용량,수용정원수,시설사용여부
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-19124/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (70.3%)Imbalance
영업상태명 is highly imbalanced (70.3%)Imbalance
상세영업상태코드 is highly imbalanced (56.4%)Imbalance
상세영업상태명 is highly imbalanced (62.4%)Imbalance
전화번호 is highly imbalanced (91.9%)Imbalance
인허가취소일자 has 99 (100.0%) missing valuesMissing
폐업일자 has 93 (93.9%) missing valuesMissing
휴업시작일자 has 99 (100.0%) missing valuesMissing
휴업종료일자 has 99 (100.0%) missing valuesMissing
재개업일자 has 99 (100.0%) missing valuesMissing
소재지면적 has 99 (100.0%) missing valuesMissing
소재지우편번호 has 99 (100.0%) missing valuesMissing
도로명주소 has 47 (47.5%) missing valuesMissing
도로명우편번호 has 68 (68.7%) missing valuesMissing
업태구분명 has 99 (100.0%) missing valuesMissing
좌표정보(X) has 2 (2.0%) missing valuesMissing
좌표정보(Y) has 2 (2.0%) missing valuesMissing
사용목적 has 20 (20.2%) missing valuesMissing
사용방법 has 21 (21.2%) missing valuesMissing
월사용량 has 20 (20.2%) missing valuesMissing
수용정원수 has 21 (21.2%) missing valuesMissing
시설사용여부 has 99 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
소재지면적 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
시설사용여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
월사용량 has 4 (4.0%) zerosZeros
수용정원수 has 6 (6.1%) zerosZeros

Reproduction

Analysis started2024-04-06 12:09:35.461445
Analysis finished2024-04-06 12:09:36.392419
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
3220000
99 

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 99
100.0%

Length

2024-04-06T21:09:36.532782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:09:36.722719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 99
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0171705 × 1018
Minimum2.003322 × 1018
Maximum2.024322 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-04-06T21:09:36.927957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.003322 × 1018
5-th percentile2.008322 × 1018
Q12.016322 × 1018
median2.017322 × 1018
Q32.019822 × 1018
95-th percentile2.023322 × 1018
Maximum2.024322 × 1018
Range2.1000009 × 1016
Interquartile range (IQR)3.5 × 1015

Descriptive statistics

Standard deviation4.445507 × 1015
Coefficient of variation (CV)0.002203833
Kurtosis0.30870532
Mean2.0171705 × 1018
Median Absolute Deviation (MAD)2 × 1015
Skewness-0.63993137
Sum-3.2143051 × 1018
Variance1.9762532 × 1031
MonotonicityStrictly increasing
2024-04-06T21:09:37.252055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2003322008302700001 1
 
1.0%
2018322017612200008 1
 
1.0%
2019322017612200010 1
 
1.0%
2019322017612200009 1
 
1.0%
2019322017612200008 1
 
1.0%
2019322017612200007 1
 
1.0%
2019322017612200006 1
 
1.0%
2019322017612200005 1
 
1.0%
2019322017612200004 1
 
1.0%
2019322017612200003 1
 
1.0%
Other values (89) 89
89.9%
ValueCountFrequency (%)
2003322008302700001 1
1.0%
2007322012712200001 1
1.0%
2008322012712200001 1
1.0%
2008322012712200002 1
1.0%
2008322012712200003 1
1.0%
2008322012712200004 1
1.0%
2009322012712200001 1
1.0%
2009322012712220311 1
1.0%
2010322014812200006 1
1.0%
2010322017612200001 1
1.0%
ValueCountFrequency (%)
2024322017612200004 1
1.0%
2024322017612200003 1
1.0%
2024322017612200002 1
1.0%
2024322017612200001 1
1.0%
2023322017612200009 1
1.0%
2023322017612200008 1
1.0%
2023322017612200007 1
1.0%
2023322017612200006 1
1.0%
2023322017612200005 1
1.0%
2023322017612200004 1
1.0%

인허가일자
Date

Distinct90
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size924.0 B
Minimum2003-09-24 00:00:00
Maximum2024-03-06 00:00:00
2024-04-06T21:09:37.477203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:09:37.764166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
1
91 
3
 
6
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 91
91.9%
3 6
 
6.1%
2 2
 
2.0%

Length

2024-04-06T21:09:38.005576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:09:38.171220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 91
91.9%
3 6
 
6.1%
2 2
 
2.0%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
영업/정상
91 
폐업
 
6
휴업
 
2

Length

Max length5
Median length5
Mean length4.7575758
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 91
91.9%
폐업 6
 
6.1%
휴업 2
 
2.0%

Length

2024-04-06T21:09:38.363222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:09:38.582453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 91
91.9%
폐업 6
 
6.1%
휴업 2
 
2.0%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
BBBB
86 
1
 
7
2
 
6

Length

Max length4
Median length4
Mean length3.6060606
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
BBBB 86
86.9%
1 7
 
7.1%
2 6
 
6.1%

Length

2024-04-06T21:09:38.782353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:09:38.961668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
bbbb 86
86.9%
1 7
 
7.1%
2 6
 
6.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
<NA>
86 
폐업처리
 
6
사용중
 
5
휴업처리
 
2

Length

Max length4
Median length4
Mean length3.9494949
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 86
86.9%
폐업처리 6
 
6.1%
사용중 5
 
5.1%
휴업처리 2
 
2.0%

Length

2024-04-06T21:09:39.149914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:09:39.359425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 86
86.9%
폐업처리 6
 
6.1%
사용중 5
 
5.1%
휴업처리 2
 
2.0%

폐업일자
Date

MISSING 

Distinct5
Distinct (%)83.3%
Missing93
Missing (%)93.9%
Memory size924.0 B
Minimum2020-09-23 00:00:00
Maximum2024-03-06 00:00:00
2024-04-06T21:09:39.529706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:09:39.725532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

전화번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
<NA>
98 
234469797
 
1

Length

Max length9
Median length4
Mean length4.0505051
Min length4

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row234469797
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 98
99.0%
234469797 1
 
1.0%

Length

2024-04-06T21:09:39.928022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:09:40.143098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
99.0%
234469797 1
 
1.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

지번주소
Text

Distinct87
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Memory size924.0 B
2024-04-06T21:09:40.542813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length37
Mean length24.030303
Min length14

Characters and Unicode

Total characters2379
Distinct characters120
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

Unique77 ?
Unique (%)77.8%

Sample

1st row서울특별시 강남구 논현동 63-8 번지
2nd row서울특별시 강남구 청담동 47-4번지
3rd row서울특별시 강남구 삼성동 16-2번지
4th row서울특별시 강남구 신사동 660-18번지
5th row서울특별시 강남구 논현동 242-13번지
ValueCountFrequency (%)
서울특별시 99
22.0%
강남구 99
22.0%
역삼동 24
 
5.3%
논현동 17
 
3.8%
삼성동 13
 
2.9%
청담동 11
 
2.4%
대치동 8
 
1.8%
신사동 8
 
1.8%
개포동 6
 
1.3%
일원동 6
 
1.3%
Other values (123) 158
35.2%
2024-04-06T21:09:41.312947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
431
18.1%
서 103
 
4.3%
남 103
 
4.3%
강 103
 
4.3%
울 103
 
4.3%
구 102
 
4.3%
시 101
 
4.2%
동 100
 
4.2%
별 99
 
4.2%
특 99
 
4.2%
Other values (110) 1035
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1453
61.1%
Space Separator 431
 
18.1%
Decimal Number 377
 
15.8%
Dash Punctuation 73
 
3.1%
Uppercase Letter 27
 
1.1%
Open Punctuation 9
 
0.4%
Close Punctuation 9
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 103
 
7.1%
남 103
 
7.1%
강 103
 
7.1%
울 103
 
7.1%
구 102
 
7.0%
시 101
 
7.0%
동 100
 
6.9%
별 99
 
6.8%
특 99
 
6.8%
지 73
 
5.0%
Other values (82) 467
32.1%
Uppercase Letter
ValueCountFrequency (%)
A 3
11.1%
C 3
11.1%
T 3
11.1%
K 2
7.4%
O 2
7.4%
H 2
7.4%
M 2
7.4%
G 2
7.4%
X 2
7.4%
J 2
7.4%
Other values (4) 4
14.8%
Decimal Number
ValueCountFrequency (%)
1 66
17.5%
6 47
12.5%
2 42
11.1%
8 37
9.8%
5 36
9.5%
7 36
9.5%
0 33
8.8%
4 33
8.8%
3 26
 
6.9%
9 21
 
5.6%
Space Separator
ValueCountFrequency (%)
431
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 73
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1453
61.1%
Common 899
37.8%
Latin 27
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 103
 
7.1%
남 103
 
7.1%
강 103
 
7.1%
울 103
 
7.1%
구 102
 
7.0%
시 101
 
7.0%
동 100
 
6.9%
별 99
 
6.8%
특 99
 
6.8%
지 73
 
5.0%
Other values (82) 467
32.1%
Common
ValueCountFrequency (%)
431
47.9%
- 73
 
8.1%
1 66
 
7.3%
6 47
 
5.2%
2 42
 
4.7%
8 37
 
4.1%
5 36
 
4.0%
7 36
 
4.0%
0 33
 
3.7%
4 33
 
3.7%
Other values (4) 65
 
7.2%
Latin
ValueCountFrequency (%)
A 3
11.1%
C 3
11.1%
T 3
11.1%
K 2
7.4%
O 2
7.4%
H 2
7.4%
M 2
7.4%
G 2
7.4%
X 2
7.4%
J 2
7.4%
Other values (4) 4
14.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1453
61.1%
ASCII 926
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
431
46.5%
- 73
 
7.9%
1 66
 
7.1%
6 47
 
5.1%
2 42
 
4.5%
8 37
 
4.0%
5 36
 
3.9%
7 36
 
3.9%
0 33
 
3.6%
4 33
 
3.6%
Other values (18) 92
 
9.9%
Hangul
ValueCountFrequency (%)
서 103
 
7.1%
남 103
 
7.1%
강 103
 
7.1%
울 103
 
7.1%
구 102
 
7.0%
시 101
 
7.0%
동 100
 
6.9%
별 99
 
6.8%
특 99
 
6.8%
지 73
 
5.0%
Other values (82) 467
32.1%

도로명주소
Text

MISSING 

Distinct44
Distinct (%)84.6%
Missing47
Missing (%)47.5%
Memory size924.0 B
2024-04-06T21:09:41.804035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length39
Mean length28.711538
Min length21

Characters and Unicode

Total characters1493
Distinct characters128
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

Unique37 ?
Unique (%)71.2%

Sample

1st row서울특별시 강남구 일원로 81 (일원동)
2nd row서울특별시 강남구 헌릉로590길 60 (세곡동)
3rd row서울특별시 강남구 봉은사로 608-6 (삼성동)
4th row서울특별시 강남구 논현로 566 (역삼동)
5th row서울특별시 강남구 논현로 566 (역삼동)
ValueCountFrequency (%)
서울특별시 52
 
17.2%
강남구 52
 
17.2%
역삼동 12
 
4.0%
논현동 7
 
2.3%
삼성동 6
 
2.0%
학동로 6
 
2.0%
청담동 6
 
2.0%
81 5
 
1.7%
일원동 5
 
1.7%
일원로 5
 
1.7%
Other values (99) 146
48.3%
2024-04-06T21:09:42.593446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
250
 
16.7%
동 64
 
4.3%
남 61
 
4.1%
강 59
 
4.0%
울 55
 
3.7%
로 55
 
3.7%
구 55
 
3.7%
서 55
 
3.7%
시 53
 
3.5%
( 52
 
3.5%
Other values (118) 734
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 922
61.8%
Space Separator 250
 
16.7%
Decimal Number 171
 
11.5%
Open Punctuation 52
 
3.5%
Close Punctuation 52
 
3.5%
Other Punctuation 28
 
1.9%
Uppercase Letter 15
 
1.0%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 64
 
6.9%
남 61
 
6.6%
강 59
 
6.4%
울 55
 
6.0%
로 55
 
6.0%
구 55
 
6.0%
서 55
 
6.0%
시 53
 
5.7%
별 52
 
5.6%
특 52
 
5.6%
Other values (92) 361
39.2%
Uppercase Letter
ValueCountFrequency (%)
O 2
13.3%
K 2
13.3%
H 2
13.3%
M 2
13.3%
T 1
6.7%
S 1
6.7%
D 1
6.7%
A 1
6.7%
E 1
6.7%
C 1
6.7%
Decimal Number
ValueCountFrequency (%)
1 26
15.2%
5 23
13.5%
6 20
11.7%
0 19
11.1%
3 18
10.5%
4 18
10.5%
8 17
9.9%
7 13
7.6%
2 10
 
5.8%
9 7
 
4.1%
Space Separator
ValueCountFrequency (%)
250
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 922
61.8%
Common 556
37.2%
Latin 15
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 64
 
6.9%
남 61
 
6.6%
강 59
 
6.4%
울 55
 
6.0%
로 55
 
6.0%
구 55
 
6.0%
서 55
 
6.0%
시 53
 
5.7%
별 52
 
5.6%
특 52
 
5.6%
Other values (92) 361
39.2%
Common
ValueCountFrequency (%)
250
45.0%
( 52
 
9.4%
) 52
 
9.4%
, 28
 
5.0%
1 26
 
4.7%
5 23
 
4.1%
6 20
 
3.6%
0 19
 
3.4%
3 18
 
3.2%
4 18
 
3.2%
Other values (5) 50
 
9.0%
Latin
ValueCountFrequency (%)
O 2
13.3%
K 2
13.3%
H 2
13.3%
M 2
13.3%
T 1
6.7%
S 1
6.7%
D 1
6.7%
A 1
6.7%
E 1
6.7%
C 1
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 922
61.8%
ASCII 571
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
250
43.8%
( 52
 
9.1%
) 52
 
9.1%
, 28
 
4.9%
1 26
 
4.6%
5 23
 
4.0%
6 20
 
3.5%
0 19
 
3.3%
3 18
 
3.2%
4 18
 
3.2%
Other values (16) 65
 
11.4%
Hangul
ValueCountFrequency (%)
동 64
 
6.9%
남 61
 
6.6%
강 59
 
6.4%
울 55
 
6.0%
로 55
 
6.0%
구 55
 
6.0%
서 55
 
6.0%
시 53
 
5.7%
별 52
 
5.6%
특 52
 
5.6%
Other values (92) 361
39.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)83.9%
Missing68
Missing (%)68.7%
Infinite0
Infinite (%)0.0%
Mean6176.6774
Minimum6011
Maximum6351
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-04-06T21:09:43.351971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6011
5-th percentile6022
Q16072.5
median6177
Q36269.5
95-th percentile6351
Maximum6351
Range340
Interquartile range (IQR)197

Descriptive statistics

Standard deviation114.67589
Coefficient of variation (CV)0.018565951
Kurtosis-1.3335469
Mean6176.6774
Median Absolute Deviation (MAD)99
Skewness0.090456773
Sum191477
Variance13150.559
MonotonicityNot monotonic
2024-04-06T21:09:43.586047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
6351 4
 
4.0%
6212 2
 
2.0%
6022 2
 
2.0%
6049 1
 
1.0%
6135 1
 
1.0%
6177 1
 
1.0%
6170 1
 
1.0%
6273 1
 
1.0%
6077 1
 
1.0%
6078 1
 
1.0%
Other values (16) 16
 
16.2%
(Missing) 68
68.7%
ValueCountFrequency (%)
6011 1
1.0%
6022 2
2.0%
6027 1
1.0%
6037 1
1.0%
6049 1
1.0%
6053 1
1.0%
6068 1
1.0%
6077 1
1.0%
6078 1
1.0%
6085 1
1.0%
ValueCountFrequency (%)
6351 4
4.0%
6324 1
 
1.0%
6310 1
 
1.0%
6273 1
 
1.0%
6271 1
 
1.0%
6268 1
 
1.0%
6247 1
 
1.0%
6234 1
 
1.0%
6232 1
 
1.0%
6212 2
2.0%

사업장명
Text

Distinct78
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Memory size924.0 B
2024-04-06T21:09:44.094334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length8.3535354
Min length4

Characters and Unicode

Total characters827
Distinct characters164
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

Unique61 ?
Unique (%)61.6%

Sample

1st row나누리빌딩
2nd row우리들병원
3rd row현대건설(주)영동차관아파트재건축현장
4th row대동건설
5th row신성건설(주)
ValueCountFrequency (%)
우리들병원 4
 
3.2%
성광의료재단 4
 
3.2%
주식회사 4
 
3.2%
삼성서울병원 4
 
3.2%
현장 4
 
3.2%
우원개발(주 3
 
2.4%
삼영가스압접 3
 
2.4%
삼성물산 3
 
2.4%
동주건설(주 2
 
1.6%
조운건설(주 2
 
1.6%
Other values (81) 93
73.8%
2024-04-06T21:09:44.945131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 62
 
7.5%
( 53
 
6.4%
) 53
 
6.4%
건 42
 
5.1%
원 30
 
3.6%
27
 
3.3%
설 26
 
3.1%
병 23
 
2.8%
성 20
 
2.4%
삼 17
 
2.1%
Other values (154) 474
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 681
82.3%
Open Punctuation 53
 
6.4%
Close Punctuation 53
 
6.4%
Space Separator 27
 
3.3%
Other Symbol 6
 
0.7%
Decimal Number 4
 
0.5%
Other Punctuation 2
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 62
 
9.1%
건 42
 
6.2%
원 30
 
4.4%
설 26
 
3.8%
병 23
 
3.4%
성 20
 
2.9%
삼 17
 
2.5%
산 15
 
2.2%
대 11
 
1.6%
현 10
 
1.5%
Other values (143) 425
62.4%
Decimal Number
ValueCountFrequency (%)
2 1
25.0%
3 1
25.0%
7 1
25.0%
1 1
25.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
, 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%
Space Separator
ValueCountFrequency (%)
27
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 687
83.1%
Common 139
 
16.8%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 62
 
9.0%
건 42
 
6.1%
원 30
 
4.4%
설 26
 
3.8%
병 23
 
3.3%
성 20
 
2.9%
삼 17
 
2.5%
산 15
 
2.2%
대 11
 
1.6%
현 10
 
1.5%
Other values (144) 431
62.7%
Common
ValueCountFrequency (%)
( 53
38.1%
) 53
38.1%
27
19.4%
2 1
 
0.7%
3 1
 
0.7%
7 1
 
0.7%
/ 1
 
0.7%
, 1
 
0.7%
1 1
 
0.7%
Latin
ValueCountFrequency (%)
N 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 681
82.3%
ASCII 140
 
16.9%
None 6
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 62
 
9.1%
건 42
 
6.2%
원 30
 
4.4%
설 26
 
3.8%
병 23
 
3.4%
성 20
 
2.9%
삼 17
 
2.5%
산 15
 
2.2%
대 11
 
1.6%
현 10
 
1.5%
Other values (143) 425
62.4%
ASCII
ValueCountFrequency (%)
( 53
37.9%
) 53
37.9%
27
19.3%
2 1
 
0.7%
3 1
 
0.7%
7 1
 
0.7%
/ 1
 
0.7%
, 1
 
0.7%
1 1
 
0.7%
N 1
 
0.7%
None
ValueCountFrequency (%)
㈜ 6
100.0%

최종수정일자
Date

UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
Minimum2003-09-24 00:00:00
Maximum2024-03-27 15:21:57
2024-04-06T21:09:45.217985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:09:45.504740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
I
87 
U
12 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 87
87.9%
U 12
 
12.1%

Length

2024-04-06T21:09:45.781468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:09:46.008995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 87
87.9%
u 12
 
12.1%

데이터갱신일자
Categorical

Distinct33
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size924.0 B
2018-08-31 23:59:59.0
60 
2022-11-01 22:03:00.0
 
4
2023-12-02 21:00:00.0
 
3
2023-12-01 00:07:00.0
 
2
2019-03-28 02:20:07.0
 
2
Other values (28)
28 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique28 ?
Unique (%)28.3%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 60
60.6%
2022-11-01 22:03:00.0 4
 
4.0%
2023-12-02 21:00:00.0 3
 
3.0%
2023-12-01 00:07:00.0 2
 
2.0%
2019-03-28 02:20:07.0 2
 
2.0%
2019-04-21 02:20:27.0 1
 
1.0%
2020-06-10 00:23:18.0 1
 
1.0%
2019-07-13 02:21:44.0 1
 
1.0%
2019-07-12 02:21:50.0 1
 
1.0%
2019-06-14 02:21:30.0 1
 
1.0%
Other values (23) 23
 
23.2%

Length

2024-04-06T21:09:46.233336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59:59.0 61
30.8%
2018-08-31 60
30.3%
2022-11-01 4
 
2.0%
22:03:00.0 4
 
2.0%
21:00:00.0 4
 
2.0%
2023-12-02 3
 
1.5%
02:20:07.0 2
 
1.0%
00:08:00.0 2
 
1.0%
2022-12-02 2
 
1.0%
00:03:00.0 2
 
1.0%
Other values (51) 54
27.3%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct75
Distinct (%)77.3%
Missing2
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean204189.37
Minimum201620.45
Maximum209088.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-04-06T21:09:46.463153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201620.45
5-th percentile202213.99
Q1202979.31
median204039.31
Q3205202.39
95-th percentile207534.49
Maximum209088.97
Range7468.5209
Interquartile range (IQR)2223.0794

Descriptive statistics

Standard deviation1564.2961
Coefficient of variation (CV)0.0076610068
Kurtosis0.90297169
Mean204189.37
Median Absolute Deviation (MAD)1067.3626
Skewness0.90157736
Sum19806369
Variance2447022.4
MonotonicityNot monotonic
2024-04-06T21:09:46.717677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
207534.49462606 5
 
5.1%
204322.029055562 4
 
4.0%
202422.251739571 3
 
3.0%
204721.445761221 3
 
3.0%
202979.308817323 3
 
3.0%
203276.254208174 2
 
2.0%
204823.510906475 2
 
2.0%
204180.425 2
 
2.0%
205513.023202982 2
 
2.0%
205677.163002678 2
 
2.0%
Other values (65) 69
69.7%
ValueCountFrequency (%)
201620.446225572 1
 
1.0%
201704.936963651 1
 
1.0%
201870.190517693 1
 
1.0%
201927.237241928 1
 
1.0%
202127.653079034 1
 
1.0%
202235.568336194 1
 
1.0%
202297.71394427 1
 
1.0%
202422.251739571 3
3.0%
202482.216634599 1
 
1.0%
202516.646578688 1
 
1.0%
ValueCountFrequency (%)
209088.967130828 1
 
1.0%
209074.683259571 1
 
1.0%
207534.49462606 5
5.1%
206573.754160174 1
 
1.0%
205947.39622882 1
 
1.0%
205849.511047456 1
 
1.0%
205677.163002678 2
 
2.0%
205636.367492511 1
 
1.0%
205544.219116136 1
 
1.0%
205520.931589204 1
 
1.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct75
Distinct (%)77.3%
Missing2
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean444961.08
Minimum439891.16
Maximum447360.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-04-06T21:09:46.991855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439891.16
5-th percentile442067.74
Q1444017.86
median445239.03
Q3446175.67
95-th percentile447049.44
Maximum447360.98
Range7469.8209
Interquartile range (IQR)2157.8071

Descriptive statistics

Standard deviation1566.6555
Coefficient of variation (CV)0.0035208821
Kurtosis0.19305576
Mean444961.08
Median Absolute Deviation (MAD)1039.3505
Skewness-0.76295977
Sum43161224
Variance2454409.4
MonotonicityNot monotonic
2024-04-06T21:09:47.251111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442943.860447203 5
 
5.1%
446314.495636826 4
 
4.0%
443872.484453417 3
 
3.0%
441815.822474066 3
 
3.0%
444965.788565979 3
 
3.0%
442584.361165036 2
 
2.0%
446774.993273357 2
 
2.0%
444622.13 2
 
2.0%
445316.784823869 2
 
2.0%
442130.717292209 2
 
2.0%
Other values (65) 69
69.7%
ValueCountFrequency (%)
439891.159496907 1
 
1.0%
441319.173130387 1
 
1.0%
441815.822474066 3
3.0%
442130.717292209 2
 
2.0%
442584.361165036 2
 
2.0%
442602.524868873 1
 
1.0%
442625.092888027 1
 
1.0%
442943.860447203 5
5.1%
443191.503619469 1
 
1.0%
443372.921666623 1
 
1.0%
ValueCountFrequency (%)
447360.980394068 1
1.0%
447312.903662969 1
1.0%
447302.394853779 1
1.0%
447230.539641753 1
1.0%
447165.496568472 1
1.0%
447020.420866992 1
1.0%
446981.583567589 1
1.0%
446900.961207356 1
1.0%
446774.993273357 2
2.0%
446737.0 1
1.0%

사용목적
Text

MISSING 

Distinct48
Distinct (%)60.8%
Missing20
Missing (%)20.2%
Memory size924.0 B
2024-04-06T21:09:47.676474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length7.3544304
Min length2

Characters and Unicode

Total characters581
Distinct characters84
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

Unique41 ?
Unique (%)51.9%

Sample

1st row의료용
2nd row의료용
3rd row설비배관용접작업
4th row용접작업
5th row용접용
ValueCountFrequency (%)
절단 29
16.7%
및 27
15.5%
용접 26
14.9%
의료용 16
 
9.2%
용단 5
 
2.9%
공사장 4
 
2.3%
철골 3
 
1.7%
작업등 3
 
1.7%
산소절단 3
 
1.7%
보조용 2
 
1.1%
Other values (46) 56
32.2%
2024-04-06T21:09:48.412920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
95
16.4%
용 71
 
12.2%
단 48
 
8.3%
접 39
 
6.7%
절 39
 
6.7%
및 27
 
4.6%
의 16
 
2.8%
료 16
 
2.8%
사 14
 
2.4%
공 12
 
2.1%
Other values (74) 204
35.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 459
79.0%
Space Separator 95
 
16.4%
Other Punctuation 7
 
1.2%
Uppercase Letter 7
 
1.2%
Close Punctuation 4
 
0.7%
Open Punctuation 4
 
0.7%
Lowercase Letter 3
 
0.5%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 71
15.5%
단 48
 
10.5%
접 39
 
8.5%
절 39
 
8.5%
및 27
 
5.9%
의 16
 
3.5%
료 16
 
3.5%
사 14
 
3.1%
공 12
 
2.6%
업 11
 
2.4%
Other values (60) 166
36.2%
Uppercase Letter
ValueCountFrequency (%)
B 2
28.6%
H 2
28.6%
A 1
14.3%
M 1
14.3%
E 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
m 1
33.3%
a 1
33.3%
e 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 5
71.4%
/ 2
 
28.6%
Space Separator
ValueCountFrequency (%)
95
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 459
79.0%
Common 112
 
19.3%
Latin 10
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 71
15.5%
단 48
 
10.5%
접 39
 
8.5%
절 39
 
8.5%
및 27
 
5.9%
의 16
 
3.5%
료 16
 
3.5%
사 14
 
3.1%
공 12
 
2.6%
업 11
 
2.4%
Other values (60) 166
36.2%
Latin
ValueCountFrequency (%)
B 2
20.0%
H 2
20.0%
A 1
10.0%
M 1
10.0%
E 1
10.0%
m 1
10.0%
a 1
10.0%
e 1
10.0%
Common
ValueCountFrequency (%)
95
84.8%
, 5
 
4.5%
) 4
 
3.6%
( 4
 
3.6%
/ 2
 
1.8%
- 2
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 459
79.0%
ASCII 122
 
21.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
95
77.9%
, 5
 
4.1%
) 4
 
3.3%
( 4
 
3.3%
/ 2
 
1.6%
B 2
 
1.6%
- 2
 
1.6%
H 2
 
1.6%
A 1
 
0.8%
M 1
 
0.8%
Other values (4) 4
 
3.3%
Hangul
ValueCountFrequency (%)
용 71
15.5%
단 48
 
10.5%
접 39
 
8.5%
절 39
 
8.5%
및 27
 
5.9%
의 16
 
3.5%
료 16
 
3.5%
사 14
 
3.1%
공 12
 
2.6%
업 11
 
2.4%
Other values (60) 166
36.2%

사용방법
Text

MISSING 

Distinct51
Distinct (%)65.4%
Missing21
Missing (%)21.2%
Memory size924.0 B
2024-04-06T21:09:48.858731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length16
Mean length6.8717949
Min length1

Characters and Unicode

Total characters536
Distinct characters96
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)59.0%

Sample

1st row용기
2nd row.
3rd row현장 직원이 용접
4th row공사장
5th row절단작업
ValueCountFrequency (%)
용접 29
16.3%
절단 28
15.7%
및 28
15.7%
9
 
5.1%
사용 7
 
3.9%
의료용 5
 
2.8%
용단 4
 
2.2%
공사장 4
 
2.2%
현장 3
 
1.7%
절단작업 2
 
1.1%
Other values (52) 59
33.1%
2024-04-06T21:09:49.852480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
101
18.8%
용 62
 
11.6%
단 41
 
7.6%
절 35
 
6.5%
접 33
 
6.2%
및 28
 
5.2%
사 19
 
3.5%
장 14
 
2.6%
공 10
 
1.9%
- 9
 
1.7%
Other values (86) 184
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 411
76.7%
Space Separator 101
 
18.8%
Dash Punctuation 9
 
1.7%
Uppercase Letter 7
 
1.3%
Other Punctuation 5
 
0.9%
Lowercase Letter 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 62
15.1%
단 41
 
10.0%
절 35
 
8.5%
접 33
 
8.0%
및 28
 
6.8%
사 19
 
4.6%
장 14
 
3.4%
공 10
 
2.4%
설 8
 
1.9%
의 7
 
1.7%
Other values (73) 154
37.5%
Uppercase Letter
ValueCountFrequency (%)
B 2
28.6%
H 2
28.6%
E 1
14.3%
A 1
14.3%
M 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 3
60.0%
/ 1
 
20.0%
. 1
 
20.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
33.3%
m 1
33.3%
a 1
33.3%
Space Separator
ValueCountFrequency (%)
101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 411
76.7%
Common 115
 
21.5%
Latin 10
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 62
15.1%
단 41
 
10.0%
절 35
 
8.5%
접 33
 
8.0%
및 28
 
6.8%
사 19
 
4.6%
장 14
 
3.4%
공 10
 
2.4%
설 8
 
1.9%
의 7
 
1.7%
Other values (73) 154
37.5%
Latin
ValueCountFrequency (%)
B 2
20.0%
H 2
20.0%
E 1
10.0%
A 1
10.0%
M 1
10.0%
e 1
10.0%
m 1
10.0%
a 1
10.0%
Common
ValueCountFrequency (%)
101
87.8%
- 9
 
7.8%
, 3
 
2.6%
/ 1
 
0.9%
. 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 411
76.7%
ASCII 125
 
23.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
101
80.8%
- 9
 
7.2%
, 3
 
2.4%
B 2
 
1.6%
H 2
 
1.6%
E 1
 
0.8%
A 1
 
0.8%
M 1
 
0.8%
/ 1
 
0.8%
e 1
 
0.8%
Other values (3) 3
 
2.4%
Hangul
ValueCountFrequency (%)
용 62
15.1%
단 41
 
10.0%
절 35
 
8.5%
접 33
 
8.0%
및 28
 
6.8%
사 19
 
4.6%
장 14
 
3.4%
공 10
 
2.4%
설 8
 
1.9%
의 7
 
1.7%
Other values (73) 154
37.5%

월사용량
Real number (ℝ)

MISSING  ZEROS 

Distinct49
Distinct (%)62.0%
Missing20
Missing (%)20.2%
Infinite0
Infinite (%)0.0%
Mean1523.7339
Minimum0
Maximum70000
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-04-06T21:09:50.098093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9
Q196
median200
Q3600
95-th percentile3060
Maximum70000
Range70000
Interquartile range (IQR)504

Descriptive statistics

Standard deviation7872.6159
Coefficient of variation (CV)5.1666605
Kurtosis76.133493
Mean1523.7339
Median Absolute Deviation (MAD)140.8
Skewness8.6544802
Sum120374.98
Variance61978081
MonotonicityNot monotonic
2024-04-06T21:09:50.349567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1.0 5
 
5.1%
96.0 5
 
5.1%
0.0 4
 
4.0%
1200.0 4
 
4.0%
600.0 4
 
4.0%
200.0 4
 
4.0%
150.0 3
 
3.0%
300.0 3
 
3.0%
5000.0 2
 
2.0%
180.0 2
 
2.0%
Other values (39) 43
43.4%
(Missing) 20
20.2%
ValueCountFrequency (%)
0.0 4
4.0%
1.0 5
5.1%
50.0 1
 
1.0%
55.0 1
 
1.0%
59.2 1
 
1.0%
60.0 2
 
2.0%
69.0 1
 
1.0%
72.0 2
 
2.0%
90.0 1
 
1.0%
96.0 5
5.1%
ValueCountFrequency (%)
70000.0 1
1.0%
5000.0 2
2.0%
3600.0 1
1.0%
3000.0 1
1.0%
2729.7 1
1.0%
2700.0 1
1.0%
2600.0 1
1.0%
2300.0 1
1.0%
2000.0 1
1.0%
1350.0 1
1.0%

수용정원수
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)29.5%
Missing21
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean54.320513
Minimum0
Maximum500
Zeros6
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-04-06T21:09:50.596804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median6
Q320
95-th percentile335.95
Maximum500
Range500
Interquartile range (IQR)16

Descriptive statistics

Standard deviation122.29966
Coefficient of variation (CV)2.2514453
Kurtosis7.5520601
Mean54.320513
Median Absolute Deviation (MAD)5
Skewness2.8956736
Sum4237
Variance14957.208
MonotonicityNot monotonic
2024-04-06T21:09:50.824813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
5 15
15.2%
1 8
 
8.1%
10 7
 
7.1%
0 6
 
6.1%
20 5
 
5.1%
4 5
 
5.1%
500 4
 
4.0%
15 3
 
3.0%
3 3
 
3.0%
50 3
 
3.0%
Other values (13) 19
19.2%
(Missing) 21
21.2%
ValueCountFrequency (%)
0 6
 
6.1%
1 8
8.1%
3 3
 
3.0%
4 5
 
5.1%
5 15
15.2%
6 3
 
3.0%
7 1
 
1.0%
8 2
 
2.0%
10 7
7.1%
13 1
 
1.0%
ValueCountFrequency (%)
500 4
4.0%
307 1
 
1.0%
300 2
2.0%
200 1
 
1.0%
150 1
 
1.0%
120 1
 
1.0%
67 1
 
1.0%
60 3
3.0%
52 1
 
1.0%
50 3
3.0%

시설사용여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)사용목적사용방법월사용량수용정원수시설사용여부
03220000200332200830270000120030924<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>234469797<NA><NA>서울특별시 강남구 논현동 63-8 번지<NA><NA>나누리빌딩2003-09-24 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA>의료용<NA>72.0<NA><NA>
13220000200732201271220000120070904<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 청담동 47-4번지<NA><NA>우리들병원2007-09-04 11:24:55I2018-08-31 23:59:59.0<NA>204322.029056446314.495637의료용용기2600.0500<NA>
23220000200832201271220000120080115<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 16-2번지<NA><NA>현대건설(주)영동차관아파트재건축현장2008-01-15 09:25:39I2018-08-31 23:59:59.0<NA>204213.366631446009.691862설비배관용접작업.0.00<NA>
33220000200832201271220000220080619<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 신사동 660-18번지<NA><NA>대동건설2008-06-19 11:17:24I2018-08-31 23:59:59.0<NA>203191.257061447312.903663용접작업현장 직원이 용접0.00<NA>
43220000200832201271220000320080730<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 242-13번지<NA><NA>신성건설(주)2008-07-30 14:40:21I2018-08-31 23:59:59.0<NA>203526.791896445927.13161용접용공사장192.010<NA>
53220000200832201271220000420080822<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 대치동 1004번지<NA><NA>(주)동일2008-08-22 13:44:42I2018-08-31 23:59:59.0<NA>205849.511047444984.323903용접작업등절단작업1200.08<NA>
63220000200932201271220000120090115<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 236-9번지<NA><NA>(주)엔에이치건설2009-01-15 16:12:58I2018-08-31 23:59:59.0<NA>203140.145066445124.369639공사장용접 및 절단1.01<NA>
73220000200932201271222031120090219<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 145-18번지<NA><NA>구구빌딩2009-02-19 15:44:12I2018-08-31 23:59:59.0<NA>204731.72662445545.499953건물냉방냉방59.21<NA>
83220000201032201481220000620100812<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 231-5번지 서울지하철 915공구 현장<NA><NA>경남기업(주)2010-10-29 15:41:40I2018-08-31 23:59:59.0<NA>203152.186821445273.447638산소절단작업리어카 및 대차로 이동하여 사용3600.00<NA>
93220000201032201761220000120101027<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 118-21번지 (현장사무실)<NA><NA>한영토건(주)2010-10-29 15:40:29I2018-08-31 23:59:59.0<NA>204597.035436445527.859918토목공사 (철골 및 가시설)-70000.01<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)사용목적사용방법월사용량수용정원수시설사용여부
89322000020233220176122000042023-08-09<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 111-6<NA><NA>광덕건설2023-08-09 16:47:49I2022-12-07 23:01:00.0<NA>203477.730936446264.035092<NA><NA><NA><NA><NA>
90322000020233220176122000052023-08-25<NA>3폐업2폐업처리2023-12-12<NA><NA><NA><NA><NA><NA>서울특별시 강남구 일원동 50 삼성서울병원서울특별시 강남구 일원로 81, 삼성서울병원 (일원동)6351삼성물산 삼성서울병원(1차, 암/양성자)2023-12-20 15:15:12U2022-11-01 22:03:00.0<NA>207534.494626442943.860447<NA><NA><NA><NA><NA>
91322000020233220176122000062023-09-04<NA>1영업/정상1사용중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 172 봉은사역서울특별시 강남구 봉은사로 지하 601, 봉은사역 (삼성동)6170우원개발㈜2023-09-04 10:10:16I2022-12-09 00:06:00.0<NA>205520.931589445839.949167<NA><NA><NA><NA><NA>
92322000020233220176122000072023-11-21<NA>1영업/정상1사용중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 738-26<NA><NA>승지토건㈜2023-12-20 15:12:57U2022-11-01 22:03:00.0<NA>203253.478843444017.864549<NA><NA><NA><NA><NA>
93322000020233220176122000082023-12-13<NA>1영업/정상1사용중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 일원동 50 삼성서울병원서울특별시 강남구 일원로 81, 삼성서울병원 (일원동)6351삼성물산 삼성서울병원 리모델링 현장2023-12-20 15:12:32U2022-11-01 22:03:00.0<NA>207534.494626442943.860447<NA><NA><NA><NA><NA>
94322000020233220176122000092023-12-13<NA>1영업/정상1사용중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 일원동 50 삼성서울병원서울특별시 강남구 일원로 81, 삼성서울병원 (일원동)6351삼성물산 삼성서울병원 리모델링 현장2023-12-20 15:12:07U2022-11-01 22:03:00.0<NA>207534.494626442943.860447<NA><NA><NA><NA><NA>
95322000020243220176122000012024-01-02<NA>3폐업2폐업처리2024-01-05<NA><NA><NA><NA><NA><NA>서울특별시 강남구 청담동 77-4 수도권광역급행철도 GTX-A 6공구<NA><NA>유한회사 정주토건2024-01-05 14:58:45U2023-12-01 00:07:00.0<NA>204823.510906446774.993273<NA><NA><NA><NA><NA>
96322000020243220176122000022024-01-05<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 청담동 77-4 수도권광역급행철도 GTX-A 6공구<NA><NA>유한회사 정주토건2024-01-05 14:51:41I2023-12-01 00:07:00.0<NA>204823.510906446774.993273<NA><NA><NA><NA><NA>
97322000020243220176122000032024-01-24<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 대치동 78-24서울특별시 강남구 역삼로107길 20-30, 영동대로 지하공간 복합개발 4공구 건설공사 현장 사무실 (대치동)6177주식회사 대련건설2024-01-24 14:05:42I2023-11-30 22:06:00.0<NA>205947.396229444680.340257<NA><NA><NA><NA><NA>
98322000020243220176122000042024-03-06<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 650-9 강남차병원서울특별시 강남구 논현로 566, 강남차병원 (역삼동)6135성광의료재단 강남차병원2024-03-06 16:45:07I2023-12-03 00:08:00.0<NA>202979.308817444965.788566<NA><NA><NA><NA><NA>