Overview

Dataset statistics

Number of variables48
Number of observations50
Missing cells993
Missing cells (%)41.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.4 KiB
Average record size in memory417.6 B

Variable types

Categorical14
Numeric13
DateTime3
Unsupported9
Text9

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),실험실면적,사업장구분명,영업소면적,위탁업체명,실험실지역코드,실험실우편번호,실험실산,실험실번지,실험실호,실험실통,실험실반,실험실특수주소,실험실특수주소동,실험실특수주소호,실험실도로명주소시군구코드,실험실도로명주소읍면동코드,실험실도로명주소읍면동구분,실험실도로명주소코드,실험실도로명특수주소,실험실도로명주소건물층구분,실험실도로명주소건물본번호,실험실도로명주소건물부번호,실험실도로명주소우편번호
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-19523/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지우편번호 is highly imbalanced (78.9%)Imbalance
실험실면적 is highly imbalanced (70.5%)Imbalance
실험실도로명주소건물부번호 is highly imbalanced (82.2%)Imbalance
실험실도로명주소우편번호 is highly imbalanced (82.2%)Imbalance
인허가취소일자 has 50 (100.0%) missing valuesMissing
폐업일자 has 29 (58.0%) missing valuesMissing
휴업시작일자 has 50 (100.0%) missing valuesMissing
휴업종료일자 has 50 (100.0%) missing valuesMissing
재개업일자 has 50 (100.0%) missing valuesMissing
전화번호 has 1 (2.0%) missing valuesMissing
소재지면적 has 50 (100.0%) missing valuesMissing
도로명우편번호 has 8 (16.0%) missing valuesMissing
업태구분명 has 46 (92.0%) missing valuesMissing
영업소면적 has 43 (86.0%) missing valuesMissing
위탁업체명 has 42 (84.0%) missing valuesMissing
실험실지역코드 has 34 (68.0%) missing valuesMissing
실험실우편번호 has 39 (78.0%) missing valuesMissing
실험실번지 has 37 (74.0%) missing valuesMissing
실험실호 has 38 (76.0%) missing valuesMissing
실험실통 has 50 (100.0%) missing valuesMissing
실험실반 has 50 (100.0%) missing valuesMissing
실험실특수주소 has 46 (92.0%) missing valuesMissing
실험실특수주소동 has 50 (100.0%) missing valuesMissing
실험실특수주소호 has 50 (100.0%) missing valuesMissing
실험실도로명주소시군구코드 has 36 (72.0%) missing valuesMissing
실험실도로명주소읍면동코드 has 36 (72.0%) missing valuesMissing
실험실도로명주소코드 has 36 (72.0%) missing valuesMissing
실험실도로명특수주소 has 36 (72.0%) missing valuesMissing
실험실도로명주소건물본번호 has 36 (72.0%) 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
실험실통 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실반 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실특수주소동 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실특수주소호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영업소면적 has 1 (2.0%) zerosZeros

Reproduction

Analysis started2024-04-06 13:27:52.199001
Analysis finished2024-04-06 13:27:52.749769
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
3210000
50 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3210000
2nd row3210000
3rd row3210000
4th row3210000
5th row3210000

Common Values

ValueCountFrequency (%)
3210000 50
100.0%

Length

2024-04-06T22:27:52.803107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:27:52.883158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 50
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2100007 × 1017
Minimum3.2100007 × 1017
Maximum3.2100007 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-06T22:27:53.226545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2100007 × 1017
5-th percentile3.2100007 × 1017
Q13.2100007 × 1017
median3.2100007 × 1017
Q33.2100007 × 1017
95-th percentile3.2100007 × 1017
Maximum3.2100007 × 1017
Range4099995
Interquartile range (IQR)750016

Descriptive statistics

Standard deviation771966.08
Coefficient of variation (CV)2.4048782 × 10-12
Kurtosis4.068046
Mean3.2100007 × 1017
Median Absolute Deviation (MAD)200000
Skewness-1.4865864
Sum-2.3967407 × 1018
Variance5.9593162 × 1011
MonotonicityStrictly increasing
2024-04-06T22:27:53.382483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
321000067198200006 1
 
2.0%
321000067201800003 1
 
2.0%
321000067201200001 1
 
2.0%
321000067201200002 1
 
2.0%
321000067201200005 1
 
2.0%
321000067201300005 1
 
2.0%
321000067201300006 1
 
2.0%
321000067201400002 1
 
2.0%
321000067201400003 1
 
2.0%
321000067201600001 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
321000067198200006 1
2.0%
321000067199300001 1
2.0%
321000067199500001 1
2.0%
321000067199700001 1
2.0%
321000067200400001 1
2.0%
321000067200700005 1
2.0%
321000067200800001 1
2.0%
321000067200900001 1
2.0%
321000067201000001 1
2.0%
321000067201000004 1
2.0%
ValueCountFrequency (%)
321000067202300001 1
2.0%
321000067202200003 1
2.0%
321000067202200002 1
2.0%
321000067202200001 1
2.0%
321000067202100001 1
2.0%
321000067202000005 1
2.0%
321000067202000004 1
2.0%
321000067202000003 1
2.0%
321000067202000001 1
2.0%
321000067201900002 1
2.0%

인허가일자
Date

Distinct44
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum1982-02-02 00:00:00
Maximum2023-05-10 00:00:00
2024-04-06T22:27:53.536092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:53.688881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
3
24 
1
19 
5
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row3

Common Values

ValueCountFrequency (%)
3 24
48.0%
1 19
38.0%
5 7
 
14.0%

Length

2024-04-06T22:27:53.834569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:27:53.939779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 24
48.0%
1 19
38.0%
5 7
 
14.0%

영업상태명
Categorical

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
폐업
24 
영업/정상
19 
제외/삭제/전출
7 

Length

Max length8
Median length5
Mean length3.98
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 24
48.0%
영업/정상 19
38.0%
제외/삭제/전출 7
 
14.0%

Length

2024-04-06T22:27:54.062383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:27:54.179482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 24
48.0%
영업/정상 19
38.0%
제외/삭제/전출 7
 
14.0%

상세영업상태코드
Categorical

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2
24 
BBBB
19 
5
7 

Length

Max length4
Median length1
Mean length2.14
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBBBB
2nd rowBBBB
3rd rowBBBB
4th rowBBBB
5th row2

Common Values

ValueCountFrequency (%)
2 24
48.0%
BBBB 19
38.0%
5 7
 
14.0%

Length

2024-04-06T22:27:54.309514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:27:54.412710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 24
48.0%
bbbb 19
38.0%
5 7
 
14.0%

상세영업상태명
Categorical

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
폐업
24 
영업
19 
제외사항
7 

Length

Max length4
Median length2
Mean length2.28
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업
2nd row영업
3rd row영업
4th row영업
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 24
48.0%
영업 19
38.0%
제외사항 7
 
14.0%

Length

2024-04-06T22:27:54.516899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:27:54.615757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 24
48.0%
영업 19
38.0%
제외사항 7
 
14.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)100.0%
Missing29
Missing (%)58.0%
Infinite0
Infinite (%)0.0%
Mean20149335
Minimum20101207
Maximum20220621
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-06T22:27:54.710407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20101207
5-th percentile20101227
Q120121226
median20150615
Q320170607
95-th percentile20191219
Maximum20220621
Range119414
Interquartile range (IQR)49381

Descriptive statistics

Standard deviation31549.29
Coefficient of variation (CV)0.0015657733
Kurtosis-0.24994856
Mean20149335
Median Absolute Deviation (MAD)20186
Skewness0.34000536
Sum4.2313603 × 108
Variance9.9535768 × 108
MonotonicityNot monotonic
2024-04-06T22:27:54.828047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20140901 1
 
2.0%
20170607 1
 
2.0%
20191219 1
 
2.0%
20151110 1
 
2.0%
20220621 1
 
2.0%
20140603 1
 
2.0%
20150615 1
 
2.0%
20171231 1
 
2.0%
20151117 1
 
2.0%
20121022 1
 
2.0%
Other values (11) 11
 
22.0%
(Missing) 29
58.0%
ValueCountFrequency (%)
20101207 1
2.0%
20101227 1
2.0%
20110211 1
2.0%
20121022 1
2.0%
20121213 1
2.0%
20121226 1
2.0%
20130429 1
2.0%
20140102 1
2.0%
20140603 1
2.0%
20140901 1
2.0%
ValueCountFrequency (%)
20220621 1
2.0%
20191219 1
2.0%
20190128 1
2.0%
20171231 1
2.0%
20170711 1
2.0%
20170607 1
2.0%
20170427 1
2.0%
20170105 1
2.0%
20151117 1
2.0%
20151110 1
2.0%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

전화번호
Text

MISSING 

Distinct44
Distinct (%)89.8%
Missing1
Missing (%)2.0%
Memory size532.0 B
2024-04-06T22:27:55.023563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.4489796
Min length7

Characters and Unicode

Total characters463
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

Unique39 ?
Unique (%)79.6%

Sample

1st row0234777881
2nd row0234809114
3rd row02-571-7667
4th row025906554
5th row0234746463
ValueCountFrequency (%)
0234809114 2
 
4.1%
02-489-8419 2
 
4.1%
02-521-4422 2
 
4.1%
02-2188-8700 2
 
4.1%
3464-7371 2
 
4.1%
3495-8314 1
 
2.0%
025436880 1
 
2.0%
514-0188 1
 
2.0%
533--7344 1
 
2.0%
578-6111 1
 
2.0%
Other values (34) 34
69.4%
2024-04-06T22:27:55.357851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 59
12.7%
4 57
12.3%
2 56
12.1%
5 51
11.0%
- 46
9.9%
8 39
8.4%
3 37
8.0%
1 37
8.0%
9 30
6.5%
7 27
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 417
90.1%
Dash Punctuation 46
 
9.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 59
14.1%
4 57
13.7%
2 56
13.4%
5 51
12.2%
8 39
9.4%
3 37
8.9%
1 37
8.9%
9 30
7.2%
7 27
6.5%
6 24
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 463
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 59
12.7%
4 57
12.3%
2 56
12.1%
5 51
11.0%
- 46
9.9%
8 39
8.4%
3 37
8.0%
1 37
8.0%
9 30
6.5%
7 27
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 463
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 59
12.7%
4 57
12.3%
2 56
12.1%
5 51
11.0%
- 46
9.9%
8 39
8.4%
3 37
8.0%
1 37
8.0%
9 30
6.5%
7 27
5.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
47 
137858
 
1
137876
 
1
137722
 
1

Length

Max length6
Median length4
Mean length4.12
Min length4

Unique

Unique3 ?
Unique (%)6.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 47
94.0%
137858 1
 
2.0%
137876 1
 
2.0%
137722 1
 
2.0%

Length

2024-04-06T22:27:55.519065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:27:55.637867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
94.0%
137858 1
 
2.0%
137876 1
 
2.0%
137722 1
 
2.0%

지번주소
Text

Distinct43
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-04-06T22:27:55.848850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length30.5
Mean length25.9
Min length18

Characters and Unicode

Total characters1295
Distinct characters105
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 (%)74.0%

Sample

1st row서울특별시 서초구 잠원동 50-2 서울특별시 서초구 잠원동 50-2
2nd row서울특별시 서초구 잠원동 50-2
3rd row서울특별시 서초구 양재동 89 선계빌딩 5층
4th row서울특별시 서초구 반포동 112-4 이수화학
5th row서울특별시 서초구 서초동 1545-2 미광빌딩 4층
ValueCountFrequency (%)
서울특별시 51
20.1%
서초구 51
20.1%
서초동 16
 
6.3%
양재동 14
 
5.5%
방배동 9
 
3.5%
잠원동 6
 
2.4%
50-2 4
 
1.6%
반포동 4
 
1.6%
현대기아자동차빌딩 3
 
1.2%
3층 3
 
1.2%
Other values (77) 93
36.6%
2024-04-06T22:27:56.213974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
227
17.5%
서 121
 
9.3%
초 68
 
5.3%
동 57
 
4.4%
시 52
 
4.0%
특 51
 
3.9%
별 51
 
3.9%
구 51
 
3.9%
울 51
 
3.9%
- 46
 
3.6%
Other values (95) 520
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 767
59.2%
Decimal Number 245
 
18.9%
Space Separator 227
 
17.5%
Dash Punctuation 46
 
3.6%
Uppercase Letter 5
 
0.4%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 121
15.8%
초 68
 
8.9%
동 57
 
7.4%
시 52
 
6.8%
특 51
 
6.6%
별 51
 
6.6%
구 51
 
6.6%
울 51
 
6.6%
빌 22
 
2.9%
딩 22
 
2.9%
Other values (76) 221
28.8%
Decimal Number
ValueCountFrequency (%)
1 44
18.0%
5 34
13.9%
2 33
13.5%
3 32
13.1%
0 27
11.0%
8 19
7.8%
7 17
 
6.9%
4 16
 
6.5%
6 12
 
4.9%
9 11
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
C 2
40.0%
J 1
20.0%
S 1
20.0%
B 1
20.0%
Space Separator
ValueCountFrequency (%)
227
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 767
59.2%
Common 523
40.4%
Latin 5
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 121
15.8%
초 68
 
8.9%
동 57
 
7.4%
시 52
 
6.8%
특 51
 
6.6%
별 51
 
6.6%
구 51
 
6.6%
울 51
 
6.6%
빌 22
 
2.9%
딩 22
 
2.9%
Other values (76) 221
28.8%
Common
ValueCountFrequency (%)
227
43.4%
- 46
 
8.8%
1 44
 
8.4%
5 34
 
6.5%
2 33
 
6.3%
3 32
 
6.1%
0 27
 
5.2%
8 19
 
3.6%
7 17
 
3.3%
4 16
 
3.1%
Other values (5) 28
 
5.4%
Latin
ValueCountFrequency (%)
C 2
40.0%
J 1
20.0%
S 1
20.0%
B 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 767
59.2%
ASCII 528
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
227
43.0%
- 46
 
8.7%
1 44
 
8.3%
5 34
 
6.4%
2 33
 
6.2%
3 32
 
6.1%
0 27
 
5.1%
8 19
 
3.6%
7 17
 
3.2%
4 16
 
3.0%
Other values (9) 33
 
6.2%
Hangul
ValueCountFrequency (%)
서 121
15.8%
초 68
 
8.9%
동 57
 
7.4%
시 52
 
6.8%
특 51
 
6.6%
별 51
 
6.6%
구 51
 
6.6%
울 51
 
6.6%
빌 22
 
2.9%
딩 22
 
2.9%
Other values (76) 221
28.8%

도로명주소
Text

Distinct41
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-04-06T22:27:56.449478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length39
Mean length32.62
Min length23

Characters and Unicode

Total characters1631
Distinct characters127
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)68.0%

Sample

1st row서울특별시 서초구 잠원로14길 29 (잠원동)
2nd row서울특별시 서초구 잠원로14길 29 (잠원동)
3rd row서울특별시 서초구 논현로27길 47, 501호 (양재동, 선계빌딩)
4th row서울특별시 서초구 사평대로 84, 이수화학 (반포동)
5th row서울특별시 서초구 서초대로42길 82, 4층 (서초동, 미광빌딩)
ValueCountFrequency (%)
서울특별시 50
 
16.5%
서초구 50
 
16.5%
서초동 14
 
4.6%
양재동 11
 
3.6%
방배동 9
 
3.0%
잠원동 5
 
1.7%
3층 4
 
1.3%
잠원로14길 3
 
1.0%
29 3
 
1.0%
논현로 3
 
1.0%
Other values (116) 151
49.8%
2024-04-06T22:27:56.814387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
260
 
15.9%
서 133
 
8.2%
초 78
 
4.8%
동 57
 
3.5%
) 52
 
3.2%
( 52
 
3.2%
시 51
 
3.1%
별 50
 
3.1%
울 50
 
3.1%
로 50
 
3.1%
Other values (117) 798
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 985
60.4%
Space Separator 260
 
15.9%
Decimal Number 220
 
13.5%
Close Punctuation 52
 
3.2%
Open Punctuation 52
 
3.2%
Other Punctuation 46
 
2.8%
Uppercase Letter 8
 
0.5%
Dash Punctuation 7
 
0.4%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 133
 
13.5%
초 78
 
7.9%
동 57
 
5.8%
시 51
 
5.2%
별 50
 
5.1%
울 50
 
5.1%
로 50
 
5.1%
구 50
 
5.1%
특 50
 
5.1%
대 25
 
2.5%
Other values (96) 391
39.7%
Decimal Number
ValueCountFrequency (%)
2 42
19.1%
1 41
18.6%
4 26
11.8%
3 18
8.2%
7 17
7.7%
8 17
7.7%
5 16
 
7.3%
0 16
 
7.3%
6 14
 
6.4%
9 13
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
C 3
37.5%
J 2
25.0%
B 2
25.0%
S 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 45
97.8%
& 1
 
2.2%
Space Separator
ValueCountFrequency (%)
260
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 985
60.4%
Common 638
39.1%
Latin 8
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 133
 
13.5%
초 78
 
7.9%
동 57
 
5.8%
시 51
 
5.2%
별 50
 
5.1%
울 50
 
5.1%
로 50
 
5.1%
구 50
 
5.1%
특 50
 
5.1%
대 25
 
2.5%
Other values (96) 391
39.7%
Common
ValueCountFrequency (%)
260
40.8%
) 52
 
8.2%
( 52
 
8.2%
, 45
 
7.1%
2 42
 
6.6%
1 41
 
6.4%
4 26
 
4.1%
3 18
 
2.8%
7 17
 
2.7%
8 17
 
2.7%
Other values (7) 68
 
10.7%
Latin
ValueCountFrequency (%)
C 3
37.5%
J 2
25.0%
B 2
25.0%
S 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 985
60.4%
ASCII 646
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
260
40.2%
) 52
 
8.0%
( 52
 
8.0%
, 45
 
7.0%
2 42
 
6.5%
1 41
 
6.3%
4 26
 
4.0%
3 18
 
2.8%
7 17
 
2.6%
8 17
 
2.6%
Other values (11) 76
 
11.8%
Hangul
ValueCountFrequency (%)
서 133
 
13.5%
초 78
 
7.9%
동 57
 
5.8%
시 51
 
5.2%
별 50
 
5.1%
울 50
 
5.1%
로 50
 
5.1%
구 50
 
5.1%
특 50
 
5.1%
대 25
 
2.5%
Other values (96) 391
39.7%

도로명우편번호
Text

MISSING 

Distinct33
Distinct (%)78.6%
Missing8
Missing (%)16.0%
Memory size532.0 B
2024-04-06T22:27:56.993549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.5238095
Min length5

Characters and Unicode

Total characters232
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

Unique26 ?
Unique (%)61.9%

Sample

1st row06515
2nd row06515
3rd row137-132
4th row06575
5th row137872
ValueCountFrequency (%)
137896 3
 
7.1%
06515 3
 
7.1%
06725 2
 
4.8%
137938 2
 
4.8%
06792 2
 
4.8%
06609 2
 
4.8%
06673 2
 
4.8%
137722 1
 
2.4%
137839 1
 
2.4%
06654 1
 
2.4%
Other values (23) 23
54.8%
2024-04-06T22:27:57.303752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 40
17.2%
7 38
16.4%
0 30
12.9%
3 29
12.5%
1 26
11.2%
8 17
7.3%
5 17
7.3%
9 13
 
5.6%
2 12
 
5.2%
4 6
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 228
98.3%
Dash Punctuation 4
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 40
17.5%
7 38
16.7%
0 30
13.2%
3 29
12.7%
1 26
11.4%
8 17
7.5%
5 17
7.5%
9 13
 
5.7%
2 12
 
5.3%
4 6
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 232
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 40
17.2%
7 38
16.4%
0 30
12.9%
3 29
12.5%
1 26
11.2%
8 17
7.3%
5 17
7.3%
9 13
 
5.6%
2 12
 
5.2%
4 6
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 232
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 40
17.2%
7 38
16.4%
0 30
12.9%
3 29
12.5%
1 26
11.2%
8 17
7.3%
5 17
7.3%
9 13
 
5.6%
2 12
 
5.2%
4 6
 
2.6%

사업장명
Text

Distinct40
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-04-06T22:27:57.504431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length9.62
Min length6

Characters and Unicode

Total characters481
Distinct characters107
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

Unique33 ?
Unique (%)66.0%

Sample

1st row롯데건설(주)
2nd row롯데건설(주)
3rd row(주)해림엔지니어링
4th row이수건설(주)
5th row(주)에스티아이엔지니어링
ValueCountFrequency (%)
주식회사 6
 
10.2%
롯데건설(주 3
 
5.1%
종합건축사사무소 3
 
5.1%
노이즈엔지니어링(주 3
 
5.1%
주)제일엔지니어링 3
 
5.1%
이수건설(주 2
 
3.4%
현대로템주식회사 2
 
3.4%
주)동명엔터프라이즈 2
 
3.4%
에스지씨이테크건설 2
 
3.4%
주)이엠코 1
 
1.7%
Other values (32) 32
54.2%
2024-04-06T22:27:57.826219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 48
 
10.0%
( 37
 
7.7%
) 37
 
7.7%
이 24
 
5.0%
사 19
 
4.0%
엔 15
 
3.1%
건 14
 
2.9%
지 14
 
2.9%
회 11
 
2.3%
식 11
 
2.3%
Other values (97) 251
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 398
82.7%
Open Punctuation 37
 
7.7%
Close Punctuation 37
 
7.7%
Space Separator 9
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 48
 
12.1%
이 24
 
6.0%
사 19
 
4.8%
엔 15
 
3.8%
건 14
 
3.5%
지 14
 
3.5%
회 11
 
2.8%
식 11
 
2.8%
스 10
 
2.5%
설 10
 
2.5%
Other values (94) 222
55.8%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 398
82.7%
Common 83
 
17.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 48
 
12.1%
이 24
 
6.0%
사 19
 
4.8%
엔 15
 
3.8%
건 14
 
3.5%
지 14
 
3.5%
회 11
 
2.8%
식 11
 
2.8%
스 10
 
2.5%
설 10
 
2.5%
Other values (94) 222
55.8%
Common
ValueCountFrequency (%)
( 37
44.6%
) 37
44.6%
9
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 398
82.7%
ASCII 83
 
17.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 48
 
12.1%
이 24
 
6.0%
사 19
 
4.8%
엔 15
 
3.8%
건 14
 
3.5%
지 14
 
3.5%
회 11
 
2.8%
식 11
 
2.8%
스 10
 
2.5%
설 10
 
2.5%
Other values (94) 222
55.8%
ASCII
ValueCountFrequency (%)
( 37
44.6%
) 37
44.6%
9
 
10.8%

최종수정일자
Date

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum2011-04-12 17:13:00
Maximum2024-02-28 20:18:44
2024-04-06T22:27:57.955394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:58.088900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
U
29 
I
21 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 29
58.0%
I 21
42.0%

Length

2024-04-06T22:27:58.208219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:27:58.293904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 29
58.0%
i 21
42.0%

데이터갱신일자
Date

Distinct27
Distinct (%)54.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum2019-04-02 02:20:11
Maximum2023-12-03 00:01:00
2024-04-06T22:27:58.375347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:58.482715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

업태구분명
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing46
Missing (%)92.0%
Memory size532.0 B
2024-04-06T22:27:58.640001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17.5
Mean length11.75
Min length6

Characters and Unicode

Total characters47
Distinct characters23
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)50.0%

Sample

1st row종합 건설업
2nd row건축설계 및 관련 서비스업
3rd row종합 건설업
4th row환경컨설팅 및 관련 엔지니어링 서비스업
ValueCountFrequency (%)
종합 2
15.4%
건설업 2
15.4%
및 2
15.4%
관련 2
15.4%
서비스업 2
15.4%
건축설계 1
7.7%
환경컨설팅 1
7.7%
엔지니어링 1
7.7%
2024-04-06T22:27:58.899577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9
19.1%
설 4
 
8.5%
업 4
 
8.5%
건 3
 
6.4%
종 2
 
4.3%
련 2
 
4.3%
스 2
 
4.3%
비 2
 
4.3%
합 2
 
4.3%
서 2
 
4.3%
Other values (13) 15
31.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38
80.9%
Space Separator 9
 
19.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
설 4
 
10.5%
업 4
 
10.5%
건 3
 
7.9%
종 2
 
5.3%
련 2
 
5.3%
스 2
 
5.3%
비 2
 
5.3%
합 2
 
5.3%
서 2
 
5.3%
관 2
 
5.3%
Other values (12) 13
34.2%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38
80.9%
Common 9
 
19.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
설 4
 
10.5%
업 4
 
10.5%
건 3
 
7.9%
종 2
 
5.3%
련 2
 
5.3%
스 2
 
5.3%
비 2
 
5.3%
합 2
 
5.3%
서 2
 
5.3%
관 2
 
5.3%
Other values (12) 13
34.2%
Common
ValueCountFrequency (%)
9
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38
80.9%
ASCII 9
 
19.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9
100.0%
Hangul
ValueCountFrequency (%)
설 4
 
10.5%
업 4
 
10.5%
건 3
 
7.9%
종 2
 
5.3%
련 2
 
5.3%
스 2
 
5.3%
비 2
 
5.3%
합 2
 
5.3%
서 2
 
5.3%
관 2
 
5.3%
Other values (12) 13
34.2%

좌표정보(X)
Real number (ℝ)

Distinct38
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201675.31
Minimum198432.35
Maximum203908.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-06T22:27:59.011893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198432.35
5-th percentile198937.45
Q1200830.34
median201750.93
Q3203475.76
95-th percentile203891.04
Maximum203908.34
Range5475.9879
Interquartile range (IQR)2645.4208

Descriptive statistics

Standard deviation1709.3018
Coefficient of variation (CV)0.0084755132
Kurtosis-1.093596
Mean201675.31
Median Absolute Deviation (MAD)1723.3866
Skewness-0.28794617
Sum10083766
Variance2921712.5
MonotonicityNot monotonic
2024-04-06T22:27:59.137204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
201293.26005564 3
 
6.0%
203705.426304066 3
 
6.0%
203477.193426542 3
 
6.0%
199371.371382654 2
 
4.0%
201762.897692631 2
 
4.0%
203908.342097327 2
 
4.0%
201905.00899151 2
 
4.0%
203891.041008756 2
 
4.0%
199259.728850926 2
 
4.0%
202123.769148202 1
 
2.0%
Other values (28) 28
56.0%
ValueCountFrequency (%)
198432.354182494 1
2.0%
198660.616347373 1
2.0%
198767.943378132 1
2.0%
199144.631348824 1
2.0%
199189.038003449 1
2.0%
199259.728850926 2
4.0%
199371.371382654 2
4.0%
199399.710949634 1
2.0%
199807.868911251 1
2.0%
199971.14619007 1
2.0%
ValueCountFrequency (%)
203908.342097327 2
4.0%
203891.041008756 2
4.0%
203847.029537103 1
 
2.0%
203705.426304066 3
6.0%
203691.410917928 1
 
2.0%
203611.139569711 1
 
2.0%
203477.193426542 3
6.0%
203471.445530676 1
 
2.0%
203321.869760013 1
 
2.0%
203307.540312785 1
 
2.0%

좌표정보(Y)
Real number (ℝ)

Distinct38
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean442797.23
Minimum440222.15
Maximum446179.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-06T22:27:59.276102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440222.15
5-th percentile440312.13
Q1441729.17
median442634.29
Q3443831.18
95-th percentile445992.49
Maximum446179.31
Range5957.1566
Interquartile range (IQR)2102.0039

Descriptive statistics

Standard deviation1630.5714
Coefficient of variation (CV)0.0036824337
Kurtosis-0.33148886
Mean442797.23
Median Absolute Deviation (MAD)997.31969
Skewness0.43060236
Sum22139861
Variance2658763.2
MonotonicityNot monotonic
2024-04-06T22:27:59.414956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
446179.309516814 3
 
6.0%
440222.152896766 3
 
6.0%
440974.843776311 3
 
6.0%
443987.021242832 2
 
4.0%
442308.814569763 2
 
4.0%
440422.094963963 2
 
4.0%
444477.511536329 2
 
4.0%
441636.969240722 2
 
4.0%
442737.403338895 2
 
4.0%
444374.640776733 1
 
2.0%
Other values (28) 28
56.0%
ValueCountFrequency (%)
440222.152896766 3
6.0%
440422.094963963 2
4.0%
440581.535464966 1
 
2.0%
440974.843776311 3
6.0%
441431.482365654 1
 
2.0%
441636.969240722 2
4.0%
441707.819305687 1
 
2.0%
441793.240977843 1
 
2.0%
441877.11171614 1
 
2.0%
441926.653514351 1
 
2.0%
ValueCountFrequency (%)
446179.309516814 3
6.0%
445764.161880369 1
 
2.0%
445657.769935924 1
 
2.0%
445359.548908557 1
 
2.0%
444477.511536329 2
4.0%
444374.640776733 1
 
2.0%
444189.793378697 1
 
2.0%
443987.021242832 2
4.0%
443855.573402136 1
 
2.0%
443757.994255551 1
 
2.0%

실험실면적
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
46 
0
 
3
100
 
1

Length

Max length4
Median length4
Mean length3.8
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 46
92.0%
0 3
 
6.0%
100 1
 
2.0%

Length

2024-04-06T22:27:59.568861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:27:59.668623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
92.0%
0 3
 
6.0%
100 1
 
2.0%

사업장구분명
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
25 
환경전문공사업
25 

Length

Max length7
Median length5.5
Mean length5.5
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
50.0%
환경전문공사업 25
50.0%

Length

2024-04-06T22:27:59.766467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:27:59.855197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
50.0%
환경전문공사업 25
50.0%

영업소면적
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)100.0%
Missing43
Missing (%)86.0%
Infinite0
Infinite (%)0.0%
Mean11669.857
Minimum0
Maximum81117
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-06T22:27:59.931753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q121.5
median80
Q3224.5
95-th percentile56892
Maximum81117
Range81117
Interquartile range (IQR)203

Descriptive statistics

Standard deviation30623.569
Coefficient of variation (CV)2.6241597
Kurtosis6.9996235
Mean11669.857
Median Absolute Deviation (MAD)70
Skewness2.6456582
Sum81689
Variance9.3780296 × 108
MonotonicityNot monotonic
2024-04-06T22:28:00.035017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
80 1
 
2.0%
33 1
 
2.0%
81117 1
 
2.0%
367 1
 
2.0%
0 1
 
2.0%
82 1
 
2.0%
10 1
 
2.0%
(Missing) 43
86.0%
ValueCountFrequency (%)
0 1
2.0%
10 1
2.0%
33 1
2.0%
80 1
2.0%
82 1
2.0%
367 1
2.0%
81117 1
2.0%
ValueCountFrequency (%)
81117 1
2.0%
367 1
2.0%
82 1
2.0%
80 1
2.0%
33 1
2.0%
10 1
2.0%
0 1
2.0%

위탁업체명
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing42
Missing (%)84.0%
Memory size532.0 B
2024-04-06T22:28:00.184545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length11.5
Mean length11.5
Min length6

Characters and Unicode

Total characters92
Distinct characters37
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)100.0%

Sample

1st row(주)청룡환경, 유앤아이환경기술(주)
2nd row(주)대명환경기술연구소
3rd row(주)청룡환경
4th row(주)진덕환경엔지니어링
5th row(주)청명기연환경
ValueCountFrequency (%)
주)청룡환경 2
22.2%
유앤아이환경기술(주 2
22.2%
주)대명환경기술연구소 1
11.1%
주)진덕환경엔지니어링 1
11.1%
주)청명기연환경 1
11.1%
주)산업공해연구소(금천구 1
11.1%
환경보전협회 1
11.1%
2024-04-06T22:28:00.462945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 9
 
9.8%
) 9
 
9.8%
주 8
 
8.7%
환 8
 
8.7%
경 8
 
8.7%
기 4
 
4.3%
연 3
 
3.3%
술 3
 
3.3%
구 3
 
3.3%
청 3
 
3.3%
Other values (27) 34
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 72
78.3%
Open Punctuation 9
 
9.8%
Close Punctuation 9
 
9.8%
Other Punctuation 1
 
1.1%
Space Separator 1
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 8
 
11.1%
환 8
 
11.1%
경 8
 
11.1%
기 4
 
5.6%
연 3
 
4.2%
술 3
 
4.2%
구 3
 
4.2%
청 3
 
4.2%
유 2
 
2.8%
명 2
 
2.8%
Other values (23) 28
38.9%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 72
78.3%
Common 20
 
21.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 8
 
11.1%
환 8
 
11.1%
경 8
 
11.1%
기 4
 
5.6%
연 3
 
4.2%
술 3
 
4.2%
구 3
 
4.2%
청 3
 
4.2%
유 2
 
2.8%
명 2
 
2.8%
Other values (23) 28
38.9%
Common
ValueCountFrequency (%)
( 9
45.0%
) 9
45.0%
, 1
 
5.0%
1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 72
78.3%
ASCII 20
 
21.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 9
45.0%
) 9
45.0%
, 1
 
5.0%
1
 
5.0%
Hangul
ValueCountFrequency (%)
주 8
 
11.1%
환 8
 
11.1%
경 8
 
11.1%
기 4
 
5.6%
연 3
 
4.2%
술 3
 
4.2%
구 3
 
4.2%
청 3
 
4.2%
유 2
 
2.8%
명 2
 
2.8%
Other values (23) 28
38.9%

실험실지역코드
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)68.8%
Missing34
Missing (%)68.0%
Infinite0
Infinite (%)0.0%
Mean2.2382856 × 109
Minimum1.1530102 × 109
Maximum4.8330102 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-06T22:28:00.569106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1530102 × 109
5-th percentile1.1530102 × 109
Q11.1650102 × 109
median1.1710105 × 109
Q34.1168106 × 109
95-th percentile4.3179856 × 109
Maximum4.8330102 × 109
Range3.68 × 109
Interquartile range (IQR)2.9518004 × 109

Descriptive statistics

Standard deviation1.482421 × 109
Coefficient of variation (CV)0.66230198
Kurtosis-1.435333
Mean2.2382856 × 109
Median Absolute Deviation (MAD)17250300
Skewness0.75753007
Sum3.581257 × 1010
Variance2.197572 × 1018
MonotonicityNot monotonic
2024-04-06T22:28:00.964853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1171010500 3
 
6.0%
1165010200 2
 
4.0%
1165010800 2
 
4.0%
1153010200 2
 
4.0%
4127310700 1
 
2.0%
4146310700 1
 
2.0%
1154510200 1
 
2.0%
4833010200 1
 
2.0%
4139013200 1
 
2.0%
2820010300 1
 
2.0%
(Missing) 34
68.0%
ValueCountFrequency (%)
1153010200 2
4.0%
1154510200 1
 
2.0%
1165010200 2
4.0%
1165010800 2
4.0%
1171010500 3
6.0%
2820010300 1
 
2.0%
4113310500 1
 
2.0%
4127310700 1
 
2.0%
4139013200 1
 
2.0%
4146310700 1
 
2.0%
ValueCountFrequency (%)
4833010200 1
 
2.0%
4146310700 1
 
2.0%
4139013200 1
 
2.0%
4127310700 1
 
2.0%
4113310500 1
 
2.0%
2820010300 1
 
2.0%
1171010500 3
6.0%
1165010800 2
4.0%
1165010200 2
4.0%
1154510200 1
 
2.0%

실험실우편번호
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing39
Missing (%)78.0%
Infinite0
Infinite (%)0.0%
Mean237628.64
Minimum137071
Maximum626010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-06T22:28:01.074240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum137071
5-th percentile137473.5
Q1137919.5
median138845
Q3288964
95-th percentile527730.5
Maximum626010
Range488939
Interquartile range (IQR)151044.5

Descriptive statistics

Standard deviation172263.77
Coefficient of variation (CV)0.7249285
Kurtosis1.2538479
Mean237628.64
Median Absolute Deviation (MAD)1774
Skewness1.5558394
Sum2613915
Variance2.9674807 × 1010
MonotonicityNot monotonic
2024-04-06T22:28:01.174084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
425080 1
 
2.0%
137941 1
 
2.0%
137876 1
 
2.0%
152848 1
 
2.0%
626010 1
 
2.0%
137071 1
 
2.0%
137898 1
 
2.0%
429451 1
 
2.0%
152051 1
 
2.0%
138844 1
 
2.0%
(Missing) 39
78.0%
ValueCountFrequency (%)
137071 1
2.0%
137876 1
2.0%
137898 1
2.0%
137941 1
2.0%
138844 1
2.0%
138845 1
2.0%
152051 1
2.0%
152848 1
2.0%
425080 1
2.0%
429451 1
2.0%
ValueCountFrequency (%)
626010 1
2.0%
429451 1
2.0%
425080 1
2.0%
152848 1
2.0%
152051 1
2.0%
138845 1
2.0%
138844 1
2.0%
137941 1
2.0%
137898 1
2.0%
137876 1
2.0%

실험실산
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
34 
1
16 

Length

Max length4
Median length4
Mean length3.04
Min length1

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> 34
68.0%
1 16
32.0%

Length

2024-04-06T22:28:01.285592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:28:01.376154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
68.0%
1 16
32.0%

실험실번지
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)92.3%
Missing37
Missing (%)74.0%
Infinite0
Infinite (%)0.0%
Mean780.76923
Minimum197
Maximum1882
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-06T22:28:01.453602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum197
5-th percentile197
Q1350
median458
Q31095
95-th percentile1735
Maximum1882
Range1685
Interquartile range (IQR)745

Descriptive statistics

Standard deviation595.99121
Coefficient of variation (CV)0.7633385
Kurtosis-0.80652626
Mean780.76923
Median Absolute Deviation (MAD)261
Skewness0.82987865
Sum10150
Variance355205.53
MonotonicityNot monotonic
2024-04-06T22:28:01.549322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
197 2
 
4.0%
671 1
 
2.0%
1596 1
 
2.0%
428 1
 
2.0%
962 1
 
2.0%
458 1
 
2.0%
1637 1
 
2.0%
350 1
 
2.0%
1882 1
 
2.0%
235 1
 
2.0%
Other values (2) 2
 
4.0%
(Missing) 37
74.0%
ValueCountFrequency (%)
197 2
4.0%
235 1
2.0%
350 1
2.0%
428 1
2.0%
442 1
2.0%
458 1
2.0%
671 1
2.0%
962 1
2.0%
1095 1
2.0%
1596 1
2.0%
ValueCountFrequency (%)
1882 1
2.0%
1637 1
2.0%
1596 1
2.0%
1095 1
2.0%
962 1
2.0%
671 1
2.0%
458 1
2.0%
442 1
2.0%
428 1
2.0%
350 1
2.0%

실험실호
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)66.7%
Missing38
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean11.166667
Minimum2
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-06T22:28:01.654550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.55
Q13
median5
Q315
95-th percentile33.25
Maximum47
Range45
Interquartile range (IQR)12

Descriptive statistics

Standard deviation13.044214
Coefficient of variation (CV)1.1681386
Kurtosis5.1637614
Mean11.166667
Median Absolute Deviation (MAD)2
Skewness2.1844849
Sum134
Variance170.15152
MonotonicityNot monotonic
2024-04-06T22:28:01.745992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 3
 
6.0%
5 3
 
6.0%
47 1
 
2.0%
7 1
 
2.0%
14 1
 
2.0%
2 1
 
2.0%
22 1
 
2.0%
18 1
 
2.0%
(Missing) 38
76.0%
ValueCountFrequency (%)
2 1
 
2.0%
3 3
6.0%
5 3
6.0%
7 1
 
2.0%
14 1
 
2.0%
18 1
 
2.0%
22 1
 
2.0%
47 1
 
2.0%
ValueCountFrequency (%)
47 1
 
2.0%
22 1
 
2.0%
18 1
 
2.0%
14 1
 
2.0%
7 1
 
2.0%
5 3
6.0%
3 3
6.0%
2 1
 
2.0%

실험실통
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

실험실반
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

실험실특수주소
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing46
Missing (%)92.0%
Memory size532.0 B
2024-04-06T22:28:01.895263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length7
Mean length8
Min length7

Characters and Unicode

Total characters32
Distinct characters23
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st row삼호물산B빌딩
2nd row가나빌딩 4층
3rd row타임빌딩 2층
4th row쌍용IT트윈타워 B동
ValueCountFrequency (%)
삼호물산b빌딩 1
14.3%
가나빌딩 1
14.3%
4층 1
14.3%
타임빌딩 1
14.3%
2층 1
14.3%
쌍용it트윈타워 1
14.3%
b동 1
14.3%
2024-04-06T22:28:02.195370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
빌 3
 
9.4%
딩 3
 
9.4%
3
 
9.4%
층 2
 
6.2%
B 2
 
6.2%
타 2
 
6.2%
2 1
 
3.1%
워 1
 
3.1%
윈 1
 
3.1%
트 1
 
3.1%
Other values (13) 13
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23
71.9%
Uppercase Letter 4
 
12.5%
Space Separator 3
 
9.4%
Decimal Number 2
 
6.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
빌 3
13.0%
딩 3
13.0%
층 2
 
8.7%
타 2
 
8.7%
워 1
 
4.3%
윈 1
 
4.3%
트 1
 
4.3%
용 1
 
4.3%
쌍 1
 
4.3%
삼 1
 
4.3%
Other values (7) 7
30.4%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
T 1
25.0%
I 1
25.0%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
4 1
50.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23
71.9%
Common 5
 
15.6%
Latin 4
 
12.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
빌 3
13.0%
딩 3
13.0%
층 2
 
8.7%
타 2
 
8.7%
워 1
 
4.3%
윈 1
 
4.3%
트 1
 
4.3%
용 1
 
4.3%
쌍 1
 
4.3%
삼 1
 
4.3%
Other values (7) 7
30.4%
Common
ValueCountFrequency (%)
3
60.0%
2 1
 
20.0%
4 1
 
20.0%
Latin
ValueCountFrequency (%)
B 2
50.0%
T 1
25.0%
I 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23
71.9%
ASCII 9
 
28.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
빌 3
13.0%
딩 3
13.0%
층 2
 
8.7%
타 2
 
8.7%
워 1
 
4.3%
윈 1
 
4.3%
트 1
 
4.3%
용 1
 
4.3%
쌍 1
 
4.3%
삼 1
 
4.3%
Other values (7) 7
30.4%
ASCII
ValueCountFrequency (%)
3
33.3%
B 2
22.2%
2 1
 
11.1%
T 1
 
11.1%
I 1
 
11.1%
4 1
 
11.1%

실험실특수주소동
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

실험실특수주소호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

실험실도로명주소시군구코드
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)71.4%
Missing36
Missing (%)72.0%
Infinite0
Infinite (%)0.0%
Mean23911.714
Minimum11530
Maximum48330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-06T22:28:02.299991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11530
5-th percentile11530
Q111650
median11710
Q341238
95-th percentile43866.45
Maximum48330
Range36800
Interquartile range (IQR)29588

Descriptive statistics

Standard deviation15278.263
Coefficient of variation (CV)0.63894468
Kurtosis-1.8073504
Mean23911.714
Median Absolute Deviation (MAD)180
Skewness0.52525384
Sum334764
Variance2.3342531 × 108
MonotonicityNot monotonic
2024-04-06T22:28:02.398850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
11650 3
 
6.0%
11530 2
 
4.0%
11710 2
 
4.0%
41273 1
 
2.0%
41463 1
 
2.0%
11545 1
 
2.0%
48330 1
 
2.0%
41390 1
 
2.0%
28200 1
 
2.0%
41133 1
 
2.0%
(Missing) 36
72.0%
ValueCountFrequency (%)
11530 2
4.0%
11545 1
 
2.0%
11650 3
6.0%
11710 2
4.0%
28200 1
 
2.0%
41133 1
 
2.0%
41273 1
 
2.0%
41390 1
 
2.0%
41463 1
 
2.0%
48330 1
 
2.0%
ValueCountFrequency (%)
48330 1
 
2.0%
41463 1
 
2.0%
41390 1
 
2.0%
41273 1
 
2.0%
41133 1
 
2.0%
28200 1
 
2.0%
11710 2
4.0%
11650 3
6.0%
11545 1
 
2.0%
11530 2
4.0%

실험실도로명주소읍면동코드
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)78.6%
Missing36
Missing (%)72.0%
Infinite0
Infinite (%)0.0%
Mean2.3911821 × 109
Minimum1.1530102 × 109
Maximum4.8330102 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-06T22:28:02.507617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1530102 × 109
5-th percentile1.1530102 × 109
Q11.1650104 × 109
median1.1710105 × 109
Q34.1238106 × 109
95-th percentile4.3866555 × 109
Maximum4.8330102 × 109
Range3.68 × 109
Interquartile range (IQR)2.9588003 × 109

Descriptive statistics

Standard deviation1.5278265 × 109
Coefficient of variation (CV)0.63894195
Kurtosis-1.8073509
Mean2.3911821 × 109
Median Absolute Deviation (MAD)18000300
Skewness0.52525374
Sum3.3476549 × 1010
Variance2.3342539 × 1018
MonotonicityNot monotonic
2024-04-06T22:28:02.610899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1165010800 2
 
4.0%
1153010200 2
 
4.0%
1171010500 2
 
4.0%
4127310700 1
 
2.0%
4146310700 1
 
2.0%
1154510200 1
 
2.0%
4833010200 1
 
2.0%
1165010200 1
 
2.0%
4139013200 1
 
2.0%
2820010300 1
 
2.0%
(Missing) 36
72.0%
ValueCountFrequency (%)
1153010200 2
4.0%
1154510200 1
2.0%
1165010200 1
2.0%
1165010800 2
4.0%
1171010500 2
4.0%
2820010300 1
2.0%
4113310500 1
2.0%
4127310700 1
2.0%
4139013200 1
2.0%
4146310700 1
2.0%
ValueCountFrequency (%)
4833010200 1
2.0%
4146310700 1
2.0%
4139013200 1
2.0%
4127310700 1
2.0%
4113310500 1
2.0%
2820010300 1
2.0%
1171010500 2
4.0%
1165010800 2
4.0%
1165010200 1
2.0%
1154510200 1
2.0%

실험실도로명주소읍면동구분
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
36 
1
14 

Length

Max length4
Median length4
Mean length3.16
Min length1

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> 36
72.0%
1 14
 
28.0%

Length

2024-04-06T22:28:02.731945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:28:02.820788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
72.0%
1 14
 
28.0%

실험실도로명주소코드
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)85.7%
Missing36
Missing (%)72.0%
Infinite0
Infinite (%)0.0%
Mean3533153.1
Minimum2179001
Maximum4169186
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-06T22:28:02.901490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2179001
5-th percentile2788703
Q13162580
median3271052
Q34159360.8
95-th percentile4169186
Maximum4169186
Range1990185
Interquartile range (IQR)996780.75

Descriptive statistics

Standard deviation623671.08
Coefficient of variation (CV)0.17651969
Kurtosis-0.27309958
Mean3533153.1
Median Absolute Deviation (MAD)515665.5
Skewness-0.48820641
Sum49464143
Variance3.8896562 × 1011
MonotonicityNot monotonic
2024-04-06T22:28:03.006913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4148335 2
 
4.0%
4169186 2
 
4.0%
3191107 1
 
2.0%
3121014 1
 
2.0%
3204006 1
 
2.0%
3117004 1
 
2.0%
3338098 1
 
2.0%
4163707 1
 
2.0%
4163036 1
 
2.0%
3199057 1
 
2.0%
Other values (2) 2
 
4.0%
(Missing) 36
72.0%
ValueCountFrequency (%)
2179001 1
2.0%
3117004 1
2.0%
3121014 1
2.0%
3153071 1
2.0%
3191107 1
2.0%
3199057 1
2.0%
3204006 1
2.0%
3338098 1
2.0%
4148335 2
4.0%
4163036 1
2.0%
ValueCountFrequency (%)
4169186 2
4.0%
4163707 1
2.0%
4163036 1
2.0%
4148335 2
4.0%
3338098 1
2.0%
3204006 1
2.0%
3199057 1
2.0%
3191107 1
2.0%
3153071 1
2.0%
3121014 1
2.0%

실험실도로명특수주소
Text

MISSING 

Distinct12
Distinct (%)85.7%
Missing36
Missing (%)72.0%
Memory size532.0 B
2024-04-06T22:28:03.167702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length5
Mean length7.8571429
Min length5

Characters and Unicode

Total characters110
Distinct characters48
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

Unique10 ?
Unique (%)71.4%

Sample

1st row(초지동)
2nd row (서초동)
3rd row(공세동)
4th row(독산동)
5th row(구로동)
ValueCountFrequency (%)
구로동 2
 
10.0%
b동 2
 
10.0%
석촌동 2
 
10.0%
양재동,타임빌딩 1
 
5.0%
610호 1
 
5.0%
쌍용it트윈타워 1
 
5.0%
만수동 1
 
5.0%
정왕동 1
 
5.0%
2층 1
 
5.0%
4층 1
 
5.0%
Other values (7) 7
35.0%
2024-04-06T22:28:03.433355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 16
 
14.5%
( 14
 
12.7%
) 14
 
12.7%
9
 
8.2%
초 3
 
2.7%
타 2
 
1.8%
층 2
 
1.8%
, 2
 
1.8%
B 2
 
1.8%
구 2
 
1.8%
Other values (38) 44
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62
56.4%
Open Punctuation 14
 
12.7%
Close Punctuation 14
 
12.7%
Space Separator 9
 
8.2%
Decimal Number 5
 
4.5%
Uppercase Letter 4
 
3.6%
Other Punctuation 2
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 16
25.8%
초 3
 
4.8%
타 2
 
3.2%
층 2
 
3.2%
구 2
 
3.2%
서 2
 
3.2%
딩 2
 
3.2%
촌 2
 
3.2%
석 2
 
3.2%
로 2
 
3.2%
Other values (26) 27
43.5%
Decimal Number
ValueCountFrequency (%)
6 1
20.0%
1 1
20.0%
0 1
20.0%
2 1
20.0%
4 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
I 1
25.0%
T 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62
56.4%
Common 44
40.0%
Latin 4
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 16
25.8%
초 3
 
4.8%
타 2
 
3.2%
층 2
 
3.2%
구 2
 
3.2%
서 2
 
3.2%
딩 2
 
3.2%
촌 2
 
3.2%
석 2
 
3.2%
로 2
 
3.2%
Other values (26) 27
43.5%
Common
ValueCountFrequency (%)
( 14
31.8%
) 14
31.8%
9
20.5%
, 2
 
4.5%
6 1
 
2.3%
1 1
 
2.3%
0 1
 
2.3%
2 1
 
2.3%
4 1
 
2.3%
Latin
ValueCountFrequency (%)
B 2
50.0%
I 1
25.0%
T 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62
56.4%
ASCII 48
43.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 16
25.8%
초 3
 
4.8%
타 2
 
3.2%
층 2
 
3.2%
구 2
 
3.2%
서 2
 
3.2%
딩 2
 
3.2%
촌 2
 
3.2%
석 2
 
3.2%
로 2
 
3.2%
Other values (26) 27
43.5%
ASCII
ValueCountFrequency (%)
( 14
29.2%
) 14
29.2%
9
18.8%
, 2
 
4.2%
B 2
 
4.2%
I 1
 
2.1%
T 1
 
2.1%
6 1
 
2.1%
1 1
 
2.1%
0 1
 
2.1%
Other values (2) 2
 
4.2%

실험실도로명주소건물층구분
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
36 
0
14 

Length

Max length4
Median length4
Mean length3.16
Min length1

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> 36
72.0%
0 14
 
28.0%

Length

2024-04-06T22:28:03.573546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:28:03.689302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
72.0%
0 14
 
28.0%

실험실도로명주소건물본번호
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)85.7%
Missing36
Missing (%)72.0%
Infinite0
Infinite (%)0.0%
Mean111.71429
Minimum12
Maximum531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-06T22:28:03.792601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile12
Q118
median42.5
Q3131.75
95-th percentile411.4
Maximum531
Range519
Interquartile range (IQR)113.75

Descriptive statistics

Standard deviation151.71757
Coefficient of variation (CV)1.3580856
Kurtosis4.1410707
Mean111.71429
Median Absolute Deviation (MAD)30.5
Skewness2.0719487
Sum1564
Variance23018.22
MonotonicityNot monotonic
2024-04-06T22:28:03.917768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
18 2
 
4.0%
12 2
 
4.0%
135 1
 
2.0%
150 1
 
2.0%
347 1
 
2.0%
19 1
 
2.0%
99 1
 
2.0%
122 1
 
2.0%
16 1
 
2.0%
20 1
 
2.0%
Other values (2) 2
 
4.0%
(Missing) 36
72.0%
ValueCountFrequency (%)
12 2
4.0%
16 1
2.0%
18 2
4.0%
19 1
2.0%
20 1
2.0%
65 1
2.0%
99 1
2.0%
122 1
2.0%
135 1
2.0%
150 1
2.0%
ValueCountFrequency (%)
531 1
2.0%
347 1
2.0%
150 1
2.0%
135 1
2.0%
122 1
2.0%
99 1
2.0%
65 1
2.0%
20 1
2.0%
19 1
2.0%
18 2
4.0%

실험실도로명주소건물부번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
48 
20
 
1
18
 
1

Length

Max length4
Median length4
Mean length3.92
Min length2

Unique

Unique2 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 48
96.0%
20 1
 
2.0%
18 1
 
2.0%

Length

2024-04-06T22:28:04.065227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:28:04.158636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
96.0%
20 1
 
2.0%
18 1
 
2.0%

실험실도로명주소우편번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
48 
138845
 
1
13216
 
1

Length

Max length6
Median length4
Mean length4.06
Min length4

Unique

Unique2 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 48
96.0%
138845 1
 
2.0%
13216 1
 
2.0%

Length

2024-04-06T22:28:04.255274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:28:04.349456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
96.0%
138845 1
 
2.0%
13216 1
 
2.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)실험실면적사업장구분명영업소면적위탁업체명실험실지역코드실험실우편번호실험실산실험실번지실험실호실험실통실험실반실험실특수주소실험실특수주소동실험실특수주소호실험실도로명주소시군구코드실험실도로명주소읍면동코드실험실도로명주소읍면동구분실험실도로명주소코드실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호
0321000032100006719820000619820202<NA>1영업/정상BBBB영업<NA><NA><NA><NA>0234777881<NA><NA>서울특별시 서초구 잠원동 50-2 서울특별시 서초구 잠원동 50-2서울특별시 서초구 잠원로14길 29 (잠원동)06515롯데건설(주)2022-12-22 17:55:15U2021-11-01 22:04:00.0<NA>201293.260056446179.309517<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1321000032100006719930000119931203<NA>1영업/정상BBBB영업<NA><NA><NA><NA>0234809114<NA><NA>서울특별시 서초구 잠원동 50-2서울특별시 서초구 잠원로14길 29 (잠원동)06515롯데건설(주)2022-12-22 15:09:26U2021-11-01 22:04:00.0<NA>201293.260056446179.309517<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
232100003210000671995000011995-02-03<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-571-7667<NA><NA>서울특별시 서초구 양재동 89 선계빌딩 5층서울특별시 서초구 논현로27길 47, 501호 (양재동, 선계빌딩)137-132(주)해림엔지니어링2024-01-03 15:35:49U2023-12-01 00:05:00.0<NA>203611.13957441926.653514<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
332100003210000671997000011997-08-29<NA>1영업/정상BBBB영업<NA><NA><NA><NA>025906554<NA><NA>서울특별시 서초구 반포동 112-4 이수화학서울특별시 서초구 사평대로 84, 이수화학 (반포동)06575이수건설(주)2024-01-09 09:37:32U2023-11-30 23:01:00.0<NA>199371.371383443987.021243<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4321000032100006720040000120040213<NA>3폐업2폐업20170427<NA><NA><NA>0234746463<NA><NA>서울특별시 서초구 서초동 1545-2 미광빌딩 4층서울특별시 서초구 서초대로42길 82, 4층 (서초동, 미광빌딩)137872(주)에스티아이엔지니어링2017-05-04 11:12:49I2019-04-02 02:20:11.0<NA>200818.226204442915.977144<NA>환경전문공사업80<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5321000032100006720070000520070213<NA>3폐업2폐업<NA><NA><NA><NA>3464-7371<NA><NA>서울특별시 서초구 양재동 231 현대기아자동차빌딩서울특별시 서초구 헌릉로 12 (양재동, 현대기아자동차빌딩)137938현대로템주식회사2019-01-29 11:40:58I2019-04-02 02:20:11.0<NA>203705.426304440222.152897<NA>환경전문공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6321000032100006720080000120080425<NA>3폐업2폐업20140901<NA><NA><NA>5202844<NA>137858서울특별시 서초구 서초동 1329-4 우남빌딩 6층서울특별시 서초구 강남대로 349 (서초동)137858스트라텍시스템즈2014-09-17 16:32:05I2019-04-02 02:20:11.0<NA>202495.203018443525.85163<NA>환경전문공사업33<NA>41273107004250801671<NA><NA><NA><NA><NA><NA>41273412731070013191107(초지동)0135<NA><NA>
7321000032100006720090000120090428<NA>3폐업2폐업20121226<NA><NA><NA>5806955<NA><NA>서울특별시 서초구 서초동 1534-5 코스모빌딩 3층서울특별시 서초구 반포대로 43 (서초동,코스모빌딩 3층)<NA>정산이앤티(주)2013-01-16 16:53:31I2019-04-02 02:20:11.0<NA>200881.983917442449.387325<NA>환경전문공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8321000032100006720100000120100208<NA>3폐업2폐업<NA><NA><NA><NA>025711113<NA><NA>서울특별시 서초구 양재동 275-6 삼호물산빌딩 B동 1205호서울특별시 서초구 논현로 87, B동 1205~1206호 (양재동, 삼호물산빌딩)137131녹원종합기술(주)2017-10-20 10:43:04I2019-04-02 02:20:11.0<NA>203847.029537441707.819306<NA>환경전문공사업<NA><NA>11650102001379411<NA><NA><NA><NA>삼호물산B빌딩<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
932100003210000672010000042010-02-09<NA>1영업/정상BBBB영업<NA><NA><NA><NA>0234809114<NA><NA>서울특별시 서초구 잠원동 50-2서울특별시 서초구 잠원로14길 29 (잠원동)06515롯데건설(주)2023-11-13 13:35:06U2022-10-31 23:05:00.0<NA>201293.260056446179.309517<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)실험실면적사업장구분명영업소면적위탁업체명실험실지역코드실험실우편번호실험실산실험실번지실험실호실험실통실험실반실험실특수주소실험실특수주소동실험실특수주소호실험실도로명주소시군구코드실험실도로명주소읍면동코드실험실도로명주소읍면동구분실험실도로명주소코드실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호
4032100003210000672019000022019-09-11<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-591-3914<NA><NA>서울특별시 서초구 방배동 805-8 엘리시아 서리풀 3차서울특별시 서초구 서초대로33길 101-9 (방배동, 엘리시아 서리풀 3차)06585(주)프로솔2023-09-18 10:43:41U2022-12-08 22:00:00.0<NA>199399.71095443373.324402<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
41321000032100006720200000120200212<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-2017-1340<NA><NA>서울특별시 서초구 방배동 1026-25 CJ방배사옥서울특별시 서초구 남부순환로 2271, CJ방배사옥,CJ건설빌딩 (방배동)06703씨제이대한통운주식회사2022-04-21 10:05:49U2021-12-03 22:03:00.0종합 건설업199971.14619441431.482366<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4232100003210000672020000032020-07-21<NA>5제외/삭제/전출5제외사항<NA><NA><NA><NA>02-3483-2946<NA><NA>서울특별시 서초구 서초동 1302-7 토탈에코빌딩서울특별시 서초구 서운로26길 5, 토탈에코빌딩 (서초동)06609에코바이오홀딩스(주)2024-02-02 16:02:46U2023-12-02 00:04:00.0<NA>201905.008992444477.511536<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4332100003210000672020000042020-08-11<NA>5제외/삭제/전출5제외사항<NA><NA><NA><NA>02-3483-2900<NA><NA>서울특별시 서초구 서초동 1302-7 토탈에코빌딩서울특별시 서초구 서운로26길 5, 토탈에코빌딩 (서초동)06609에코바이오홀딩스 주식회사2024-02-14 17:53:34U2023-12-01 23:06:00.0<NA>201905.008992444477.511536<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
44321000032100006720200000520201008<NA>5제외/삭제/전출5제외사항<NA><NA><NA><NA>02-521-4422<NA><NA>서울특별시 서초구 방배동 938-10서울특별시 서초구 서초대로22길 8, 3층 (방배동, 미소빌딩)06673노이즈엔지니어링(주)2022-09-14 10:08:03U2021-12-08 23:06:00.0<NA>199259.728851442737.403339<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4532100003210000672021000012021-12-02<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-598-0959<NA><NA>서울특별시 서초구 서초동 1355-3 서초월드오피스텔서울특별시 서초구 서운로 19, 서초월드오피스텔 5층 1호 (서초동)06732주식회사 건설분쟁기술원2023-08-14 13:20:09U2022-12-07 23:07:00.0<NA>202508.646066442625.413941<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4632100003210000672022000012022-03-16<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-2188-8700<NA><NA>서울특별시 서초구 서초동 1424-8 동명빌딩서울특별시 서초구 남부순환로 2471, 동명빌딩 (서초동)06725(주)동명엔터프라이즈2023-02-03 10:43:49U2022-12-02 00:05:00.0<NA>201762.897693442308.81457<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4732100003210000672022000022022-04-14<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-2188-8700<NA><NA>서울특별시 서초구 서초동 1424-8 동명빌딩서울특별시 서초구 남부순환로 2471, 동명빌딩 (서초동)06725(주)동명엔터프라이즈2023-02-07 09:12:39U2022-12-02 00:09:00.0<NA>201762.897693442308.81457<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4832100003210000672022000032022-04-29<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-843-5076<NA><NA>서울특별시 서초구 서초동 1588-8 벨타워비지니스텔서울특별시 서초구 효령로55길 15, 벨타워비지니스텔 303호 (서초동)06654일신엠텍(주)2023-05-12 10:09:15U2022-12-04 23:04:00.0환경컨설팅 및 관련 엔지니어링 서비스업201188.921253442592.594826<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4932100003210000672023000012023-05-10<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1589-5 센츄리오피스텔 901호서울특별시 서초구 반포대로14길 30, 센츄리오피스텔 9층 901호 (서초동)06653주식회사 신형이엔티2023-06-29 15:16:39U2022-12-07 00:01:00.0<NA>201052.715465442582.553408<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>