Overview

Dataset statistics

Number of variables48
Number of observations73
Missing cells1501
Missing cells (%)42.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.6 KiB
Average record size in memory415.8 B

Variable types

Categorical16
Numeric9
DateTime3
Unsupported11
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
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-19525/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
실험실면적 is highly imbalanced (81.9%)Imbalance
실험실지역코드 is highly imbalanced (66.9%)Imbalance
실험실도로명주소시군구코드 is highly imbalanced (65.4%)Imbalance
실험실도로명주소읍면동코드 is highly imbalanced (64.7%)Imbalance
실험실도로명주소건물부번호 is highly imbalanced (86.8%)Imbalance
인허가취소일자 has 73 (100.0%) missing valuesMissing
폐업일자 has 26 (35.6%) missing valuesMissing
휴업시작일자 has 73 (100.0%) missing valuesMissing
휴업종료일자 has 73 (100.0%) missing valuesMissing
재개업일자 has 73 (100.0%) missing valuesMissing
전화번호 has 2 (2.7%) missing valuesMissing
소재지면적 has 73 (100.0%) missing valuesMissing
소재지우편번호 has 70 (95.9%) missing valuesMissing
지번주소 has 3 (4.1%) missing valuesMissing
도로명주소 has 2 (2.7%) missing valuesMissing
도로명우편번호 has 12 (16.4%) missing valuesMissing
업태구분명 has 73 (100.0%) missing valuesMissing
좌표정보(X) has 7 (9.6%) missing valuesMissing
좌표정보(Y) has 7 (9.6%) missing valuesMissing
영업소면적 has 67 (91.8%) missing valuesMissing
위탁업체명 has 58 (79.5%) missing valuesMissing
실험실우편번호 has 63 (86.3%) missing valuesMissing
실험실번지 has 63 (86.3%) missing valuesMissing
실험실호 has 64 (87.7%) missing valuesMissing
실험실통 has 73 (100.0%) missing valuesMissing
실험실반 has 73 (100.0%) missing valuesMissing
실험실특수주소 has 68 (93.2%) missing valuesMissing
실험실특수주소동 has 73 (100.0%) missing valuesMissing
실험실특수주소호 has 73 (100.0%) missing valuesMissing
실험실도로명주소코드 has 62 (84.9%) missing valuesMissing
실험실도로명특수주소 has 62 (84.9%) missing valuesMissing
실험실도로명주소건물본번호 has 62 (84.9%) missing valuesMissing
실험실도로명주소우편번호 has 73 (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
업태구분명 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
실험실도로명주소우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영업소면적 has 1 (1.4%) zerosZeros

Reproduction

Analysis started2024-04-06 11:42:57.248544
Analysis finished2024-04-06 11:42:58.563328
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size716.0 B
3230000
73 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 73
100.0%

Length

2024-04-06T20:42:58.741344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:42:59.061434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 73
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct73
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2300007 × 1017
Minimum3.2300007 × 1017
Maximum3.2300007 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2024-04-06T20:42:59.325983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2300007 × 1017
5-th percentile3.2300007 × 1017
Q13.2300007 × 1017
median3.2300007 × 1017
Q33.2300007 × 1017
95-th percentile3.2300007 × 1017
Maximum3.2300007 × 1017
Range4100000
Interquartile range (IQR)699968

Descriptive statistics

Standard deviation915556.09
Coefficient of variation (CV)2.8345384 × 10-12
Kurtosis2.7920684
Mean3.2300007 × 1017
Median Absolute Deviation (MAD)400000
Skewness-1.6116467
Sum5.1322608 × 1018
Variance8.3824296 × 1011
MonotonicityStrictly increasing
2024-04-06T20:42:59.577812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
323000067198200001 1
 
1.4%
323000067201600005 1
 
1.4%
323000067201600003 1
 
1.4%
323000067201600002 1
 
1.4%
323000067201600001 1
 
1.4%
323000067201500002 1
 
1.4%
323000067201500001 1
 
1.4%
323000067201400001 1
 
1.4%
323000067201300003 1
 
1.4%
323000067201300002 1
 
1.4%
Other values (63) 63
86.3%
ValueCountFrequency (%)
323000067198200001 1
1.4%
323000067198200002 1
1.4%
323000067198200003 1
1.4%
323000067198500001 1
1.4%
323000067199100001 1
1.4%
323000067199200001 1
1.4%
323000067199800001 1
1.4%
323000067199800002 1
1.4%
323000067200000001 1
1.4%
323000067200200001 1
1.4%
ValueCountFrequency (%)
323000067202300001 1
1.4%
323000067202200001 1
1.4%
323000067202100002 1
1.4%
323000067202100001 1
1.4%
323000067202000006 1
1.4%
323000067202000005 1
1.4%
323000067202000003 1
1.4%
323000067202000001 1
1.4%
323000067201900003 1
1.4%
323000067201900002 1
1.4%

인허가일자
Date

Distinct60
Distinct (%)82.2%
Missing0
Missing (%)0.0%
Memory size716.0 B
Minimum1982-01-18 00:00:00
Maximum2023-09-18 00:00:00
2024-04-06T20:43:00.287105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:43:00.520934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing73
Missing (%)100.0%
Memory size789.0 B

영업상태코드
Categorical

Distinct4
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size716.0 B
3
26 
1
23 
4
23 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
3 26
35.6%
1 23
31.5%
4 23
31.5%
5 1
 
1.4%

Length

2024-04-06T20:43:00.794469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:43:00.976265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 26
35.6%
1 23
31.5%
4 23
31.5%
5 1
 
1.4%

영업상태명
Categorical

Distinct4
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size716.0 B
폐업
26 
영업/정상
23 
취소/말소/만료/정지/중지
23 
제외/삭제/전출
 
1

Length

Max length14
Median length8
Mean length6.8082192
Min length2

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 26
35.6%
영업/정상 23
31.5%
취소/말소/만료/정지/중지 23
31.5%
제외/삭제/전출 1
 
1.4%

Length

2024-04-06T20:43:01.187450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:43:01.402960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 26
35.6%
영업/정상 23
31.5%
취소/말소/만료/정지/중지 23
31.5%
제외/삭제/전출 1
 
1.4%

상세영업상태코드
Categorical

Distinct4
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size716.0 B
2
26 
BBBB
23 
4
23 
5
 
1

Length

Max length4
Median length1
Mean length1.9452055
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
2 26
35.6%
BBBB 23
31.5%
4 23
31.5%
5 1
 
1.4%

Length

2024-04-06T20:43:01.637539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:43:01.898156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 26
35.6%
bbbb 23
31.5%
4 23
31.5%
5 1
 
1.4%

상세영업상태명
Categorical

Distinct4
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size716.0 B
폐업
26 
영업
23 
폐쇄
23 
제외사항
 
1

Length

Max length4
Median length2
Mean length2.0273973
Min length2

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 26
35.6%
영업 23
31.5%
폐쇄 23
31.5%
제외사항 1
 
1.4%

Length

2024-04-06T20:43:02.161716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:43:02.382033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 26
35.6%
영업 23
31.5%
폐쇄 23
31.5%
제외사항 1
 
1.4%

폐업일자
Date

MISSING 

Distinct40
Distinct (%)85.1%
Missing26
Missing (%)35.6%
Memory size716.0 B
Minimum1998-01-20 00:00:00
Maximum2024-01-05 00:00:00
2024-04-06T20:43:02.624710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:43:02.829862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing73
Missing (%)100.0%
Memory size789.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing73
Missing (%)100.0%
Memory size789.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing73
Missing (%)100.0%
Memory size789.0 B

전화번호
Text

MISSING 

Distinct56
Distinct (%)78.9%
Missing2
Missing (%)2.7%
Memory size716.0 B
2024-04-06T20:43:03.227793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.422535
Min length8

Characters and Unicode

Total characters740
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)62.0%

Sample

1st row02-3433-7308
2nd row02-3433-7308
3rd row02-3433-7308
4th row02-421-0431
5th row0234345800
ValueCountFrequency (%)
02-3433-7308 3
 
4.2%
02-512-3282 3
 
4.2%
3433-3356 3
 
4.2%
02-422-6462 2
 
2.8%
02-2145-6379 2
 
2.8%
419-1516 2
 
2.8%
02-2157-8566 2
 
2.8%
02-445-5805 2
 
2.8%
070-7864-7485 2
 
2.8%
02-473-4527 2
 
2.8%
Other values (46) 48
67.6%
2024-04-06T20:43:03.858919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 123
16.6%
- 101
13.6%
0 100
13.5%
4 81
10.9%
3 69
9.3%
1 61
8.2%
5 54
7.3%
7 52
7.0%
6 46
 
6.2%
8 41
 
5.5%
Other values (2) 12
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 638
86.2%
Dash Punctuation 101
 
13.6%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 123
19.3%
0 100
15.7%
4 81
12.7%
3 69
10.8%
1 61
9.6%
5 54
8.5%
7 52
8.2%
6 46
 
7.2%
8 41
 
6.4%
9 11
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 101
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 740
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 123
16.6%
- 101
13.6%
0 100
13.5%
4 81
10.9%
3 69
9.3%
1 61
8.2%
5 54
7.3%
7 52
7.0%
6 46
 
6.2%
8 41
 
5.5%
Other values (2) 12
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 740
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 123
16.6%
- 101
13.6%
0 100
13.5%
4 81
10.9%
3 69
9.3%
1 61
8.2%
5 54
7.3%
7 52
7.0%
6 46
 
6.2%
8 41
 
5.5%
Other values (2) 12
 
1.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing73
Missing (%)100.0%
Memory size789.0 B

소재지우편번호
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing70
Missing (%)95.9%
Memory size716.0 B
2024-04-06T20:43:04.085713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters18
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row138879
2nd rownull
3rd row138201
ValueCountFrequency (%)
138879 1
33.3%
null 1
33.3%
138201 1
33.3%
2024-04-06T20:43:04.537047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 3
16.7%
8 3
16.7%
3 2
11.1%
l 2
11.1%
2
11.1%
7 1
 
5.6%
9 1
 
5.6%
n 1
 
5.6%
u 1
 
5.6%
2 1
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12
66.7%
Lowercase Letter 4
 
22.2%
Space Separator 2
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3
25.0%
8 3
25.0%
3 2
16.7%
7 1
 
8.3%
9 1
 
8.3%
2 1
 
8.3%
0 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
l 2
50.0%
n 1
25.0%
u 1
25.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14
77.8%
Latin 4
 
22.2%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3
21.4%
8 3
21.4%
3 2
14.3%
2
14.3%
7 1
 
7.1%
9 1
 
7.1%
2 1
 
7.1%
0 1
 
7.1%
Latin
ValueCountFrequency (%)
l 2
50.0%
n 1
25.0%
u 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3
16.7%
8 3
16.7%
3 2
11.1%
l 2
11.1%
2
11.1%
7 1
 
5.6%
9 1
 
5.6%
n 1
 
5.6%
u 1
 
5.6%
2 1
 
5.6%

지번주소
Text

MISSING 

Distinct60
Distinct (%)85.7%
Missing3
Missing (%)4.1%
Memory size716.0 B
2024-04-06T20:43:05.001476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length32
Mean length25.142857
Min length17

Characters and Unicode

Total characters1760
Distinct characters129
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

Unique52 ?
Unique (%)74.3%

Sample

1st row서울특별시 송파구 신천동 7-23 (5층)
2nd row서울특별시 송파구 신천동 7-23 5층 업무부
3rd row서울특별시 송파구 신천동 7-23 5층 업무부
4th row서울특별시 송파구 방이동 149-9
5th row서울특별시 송파구 신천동 7-19
ValueCountFrequency (%)
서울특별시 70
19.4%
송파구 68
18.8%
문정동 20
 
5.5%
방이동 10
 
2.8%
가락동 9
 
2.5%
신천동 8
 
2.2%
석촌동 7
 
1.9%
5층 6
 
1.7%
가든파이브웍스 5
 
1.4%
632 5
 
1.4%
Other values (109) 153
42.4%
2024-04-06T20:43:05.772157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
326
18.5%
파 79
 
4.5%
동 78
 
4.4%
시 72
 
4.1%
송 71
 
4.0%
서 70
 
4.0%
특 70
 
4.0%
별 70
 
4.0%
구 70
 
4.0%
울 70
 
4.0%
Other values (119) 784
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1026
58.3%
Decimal Number 332
 
18.9%
Space Separator 326
 
18.5%
Dash Punctuation 53
 
3.0%
Uppercase Letter 16
 
0.9%
Open Punctuation 3
 
0.2%
Close Punctuation 3
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 79
 
7.7%
동 78
 
7.6%
시 72
 
7.0%
송 71
 
6.9%
서 70
 
6.8%
특 70
 
6.8%
별 70
 
6.8%
구 70
 
6.8%
울 70
 
6.8%
이 23
 
2.2%
Other values (94) 353
34.4%
Decimal Number
ValueCountFrequency (%)
2 62
18.7%
1 57
17.2%
0 37
11.1%
3 36
10.8%
4 34
10.2%
5 27
8.1%
7 23
 
6.9%
9 22
 
6.6%
8 18
 
5.4%
6 16
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
S 4
25.0%
K 2
12.5%
C 2
12.5%
J 2
12.5%
A 1
 
6.2%
D 1
 
6.2%
I 1
 
6.2%
T 1
 
6.2%
B 1
 
6.2%
V 1
 
6.2%
Space Separator
ValueCountFrequency (%)
326
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1026
58.3%
Common 718
40.8%
Latin 16
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 79
 
7.7%
동 78
 
7.6%
시 72
 
7.0%
송 71
 
6.9%
서 70
 
6.8%
특 70
 
6.8%
별 70
 
6.8%
구 70
 
6.8%
울 70
 
6.8%
이 23
 
2.2%
Other values (94) 353
34.4%
Common
ValueCountFrequency (%)
326
45.4%
2 62
 
8.6%
1 57
 
7.9%
- 53
 
7.4%
0 37
 
5.2%
3 36
 
5.0%
4 34
 
4.7%
5 27
 
3.8%
7 23
 
3.2%
9 22
 
3.1%
Other values (5) 41
 
5.7%
Latin
ValueCountFrequency (%)
S 4
25.0%
K 2
12.5%
C 2
12.5%
J 2
12.5%
A 1
 
6.2%
D 1
 
6.2%
I 1
 
6.2%
T 1
 
6.2%
B 1
 
6.2%
V 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1026
58.3%
ASCII 734
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
326
44.4%
2 62
 
8.4%
1 57
 
7.8%
- 53
 
7.2%
0 37
 
5.0%
3 36
 
4.9%
4 34
 
4.6%
5 27
 
3.7%
7 23
 
3.1%
9 22
 
3.0%
Other values (15) 57
 
7.8%
Hangul
ValueCountFrequency (%)
파 79
 
7.7%
동 78
 
7.6%
시 72
 
7.0%
송 71
 
6.9%
서 70
 
6.8%
특 70
 
6.8%
별 70
 
6.8%
구 70
 
6.8%
울 70
 
6.8%
이 23
 
2.2%
Other values (94) 353
34.4%

도로명주소
Text

MISSING 

Distinct59
Distinct (%)83.1%
Missing2
Missing (%)2.7%
Memory size716.0 B
2024-04-06T20:43:06.367867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length41
Mean length33.915493
Min length23

Characters and Unicode

Total characters2408
Distinct characters155
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

Unique49 ?
Unique (%)69.0%

Sample

1st row서울특별시 송파구 올림픽로 299 (신천동, 5층 업무부)
2nd row서울특별시 송파구 올림픽로 299 (신천동, 5층 업무부)
3rd row서울특별시 송파구 올림픽로 299 (신천동, 5층 업무부)
4th row서울특별시 송파구 백제고분로 490 (방이동)
5th row서울특별시 송파구 올림픽로 289 (신천동, 잠실시그마타워)
ValueCountFrequency (%)
서울특별시 71
 
15.3%
송파구 69
 
14.9%
문정동 18
 
3.9%
방이동 10
 
2.2%
신천동 8
 
1.7%
석촌동 7
 
1.5%
올림픽로 7
 
1.5%
5층 7
 
1.5%
가락동 7
 
1.5%
충민로 6
 
1.3%
Other values (152) 254
54.7%
2024-04-06T20:43:07.079926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
395
 
16.4%
1 87
 
3.6%
동 85
 
3.5%
파 84
 
3.5%
송 80
 
3.3%
( 73
 
3.0%
시 73
 
3.0%
) 73
 
3.0%
로 72
 
3.0%
서 71
 
2.9%
Other values (145) 1315
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1407
58.4%
Space Separator 395
 
16.4%
Decimal Number 370
 
15.4%
Open Punctuation 73
 
3.0%
Close Punctuation 73
 
3.0%
Other Punctuation 63
 
2.6%
Uppercase Letter 21
 
0.9%
Dash Punctuation 5
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 85
 
6.0%
파 84
 
6.0%
송 80
 
5.7%
시 73
 
5.2%
로 72
 
5.1%
서 71
 
5.0%
구 71
 
5.0%
별 71
 
5.0%
특 71
 
5.0%
울 71
 
5.0%
Other values (118) 658
46.8%
Decimal Number
ValueCountFrequency (%)
1 87
23.5%
2 65
17.6%
0 50
13.5%
3 42
11.4%
5 33
 
8.9%
4 29
 
7.8%
6 21
 
5.7%
8 15
 
4.1%
9 15
 
4.1%
7 13
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
A 4
19.0%
C 4
19.0%
S 3
14.3%
B 2
9.5%
K 2
9.5%
J 2
9.5%
D 1
 
4.8%
T 1
 
4.8%
I 1
 
4.8%
V 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 62
98.4%
& 1
 
1.6%
Space Separator
ValueCountFrequency (%)
395
100.0%
Open Punctuation
ValueCountFrequency (%)
( 73
100.0%
Close Punctuation
ValueCountFrequency (%)
) 73
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1407
58.4%
Common 980
40.7%
Latin 21
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 85
 
6.0%
파 84
 
6.0%
송 80
 
5.7%
시 73
 
5.2%
로 72
 
5.1%
서 71
 
5.0%
구 71
 
5.0%
별 71
 
5.0%
특 71
 
5.0%
울 71
 
5.0%
Other values (118) 658
46.8%
Common
ValueCountFrequency (%)
395
40.3%
1 87
 
8.9%
( 73
 
7.4%
) 73
 
7.4%
2 65
 
6.6%
, 62
 
6.3%
0 50
 
5.1%
3 42
 
4.3%
5 33
 
3.4%
4 29
 
3.0%
Other values (7) 71
 
7.2%
Latin
ValueCountFrequency (%)
A 4
19.0%
C 4
19.0%
S 3
14.3%
B 2
9.5%
K 2
9.5%
J 2
9.5%
D 1
 
4.8%
T 1
 
4.8%
I 1
 
4.8%
V 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1407
58.4%
ASCII 1001
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
395
39.5%
1 87
 
8.7%
( 73
 
7.3%
) 73
 
7.3%
2 65
 
6.5%
, 62
 
6.2%
0 50
 
5.0%
3 42
 
4.2%
5 33
 
3.3%
4 29
 
2.9%
Other values (17) 92
 
9.2%
Hangul
ValueCountFrequency (%)
동 85
 
6.0%
파 84
 
6.0%
송 80
 
5.7%
시 73
 
5.2%
로 72
 
5.1%
서 71
 
5.0%
구 71
 
5.0%
별 71
 
5.0%
특 71
 
5.0%
울 71
 
5.0%
Other values (118) 658
46.8%

도로명우편번호
Text

MISSING 

Distinct38
Distinct (%)62.3%
Missing12
Missing (%)16.4%
Memory size716.0 B
2024-04-06T20:43:07.454368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.5901639
Min length5

Characters and Unicode

Total characters341
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 (%)42.6%

Sample

1st row138-240
2nd row138-726
3rd row138-726
4th row05510
5th row05800
ValueCountFrequency (%)
138834 5
 
8.2%
05836 4
 
6.6%
05839 4
 
6.6%
05510 4
 
6.6%
05854 3
 
4.9%
138847 3
 
4.9%
138-726 2
 
3.3%
138862 2
 
3.3%
138855 2
 
3.3%
05734 2
 
3.3%
Other values (28) 30
49.2%
2024-04-06T20:43:08.241222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 70
20.5%
3 50
14.7%
1 47
13.8%
5 46
13.5%
0 45
13.2%
4 25
 
7.3%
6 16
 
4.7%
7 14
 
4.1%
2 12
 
3.5%
9 11
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 336
98.5%
Dash Punctuation 5
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 70
20.8%
3 50
14.9%
1 47
14.0%
5 46
13.7%
0 45
13.4%
4 25
 
7.4%
6 16
 
4.8%
7 14
 
4.2%
2 12
 
3.6%
9 11
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 341
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 70
20.5%
3 50
14.7%
1 47
13.8%
5 46
13.5%
0 45
13.2%
4 25
 
7.3%
6 16
 
4.7%
7 14
 
4.1%
2 12
 
3.5%
9 11
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 341
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 70
20.5%
3 50
14.7%
1 47
13.8%
5 46
13.5%
0 45
13.2%
4 25
 
7.3%
6 16
 
4.7%
7 14
 
4.1%
2 12
 
3.5%
9 11
 
3.2%

사업장명
Text

Distinct52
Distinct (%)71.2%
Missing0
Missing (%)0.0%
Memory size716.0 B
2024-04-06T20:43:08.662956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length8.3424658
Min length3

Characters and Unicode

Total characters609
Distinct characters120
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

Unique36 ?
Unique (%)49.3%

Sample

1st row쌍용건설(주)
2nd row쌍용건설(주)
3rd row쌍용건설(주)
4th row(주)거보산업
5th row에이치엘디앤아이한라 주식회사
ValueCountFrequency (%)
주식회사 6
 
7.5%
쌍용건설(주 4
 
5.0%
주)삼보기술단 3
 
3.8%
대윤환경(주 3
 
3.8%
미령환경개발(주 3
 
3.8%
삼양에코너지(주 2
 
2.5%
주)동일기술공사 2
 
2.5%
한국환경설계(주 2
 
2.5%
주)일신네이쳐 2
 
2.5%
삼성물산 2
 
2.5%
Other values (44) 51
63.7%
2024-04-06T20:43:09.466046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 70
 
11.5%
( 63
 
10.3%
) 63
 
10.3%
이 20
 
3.3%
에 16
 
2.6%
경 14
 
2.3%
코 14
 
2.3%
지 13
 
2.1%
환 13
 
2.1%
엔 13
 
2.1%
Other values (110) 310
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 476
78.2%
Open Punctuation 63
 
10.3%
Close Punctuation 63
 
10.3%
Space Separator 7
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 70
 
14.7%
이 20
 
4.2%
에 16
 
3.4%
경 14
 
2.9%
코 14
 
2.9%
지 13
 
2.7%
환 13
 
2.7%
엔 13
 
2.7%
사 10
 
2.1%
스 10
 
2.1%
Other values (107) 283
59.5%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 476
78.2%
Common 133
 
21.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 70
 
14.7%
이 20
 
4.2%
에 16
 
3.4%
경 14
 
2.9%
코 14
 
2.9%
지 13
 
2.7%
환 13
 
2.7%
엔 13
 
2.7%
사 10
 
2.1%
스 10
 
2.1%
Other values (107) 283
59.5%
Common
ValueCountFrequency (%)
( 63
47.4%
) 63
47.4%
7
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 476
78.2%
ASCII 133
 
21.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 70
 
14.7%
이 20
 
4.2%
에 16
 
3.4%
경 14
 
2.9%
코 14
 
2.9%
지 13
 
2.7%
환 13
 
2.7%
엔 13
 
2.7%
사 10
 
2.1%
스 10
 
2.1%
Other values (107) 283
59.5%
ASCII
ValueCountFrequency (%)
( 63
47.4%
) 63
47.4%
7
 
5.3%

최종수정일자
Date

UNIQUE 

Distinct73
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size716.0 B
Minimum2011-07-11 13:34:11
Maximum2024-01-19 17:58:46
2024-04-06T20:43:09.694020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:43:09.956490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size716.0 B
U
42 
I
31 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 42
57.5%
I 31
42.5%

Length

2024-04-06T20:43:10.173830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:43:10.340710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 42
57.5%
i 31
42.5%

데이터갱신일자
Categorical

Distinct35
Distinct (%)47.9%
Missing0
Missing (%)0.0%
Memory size716.0 B
2019-03-30 02:20:09.0
30 
2021-12-06 23:04:00.0
4 
2022-10-30 22:09:00.0
 
3
2020-05-22 02:40:00.0
 
2
2022-12-06 22:03:00.0
 
2
Other values (30)
32 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique28 ?
Unique (%)38.4%

Sample

1st row2022-12-08 22:08:00.0
2nd row2022-12-06 22:03:00.0
3rd row2022-12-06 22:03:00.0
4th row2021-12-05 22:03:00.0
5th row2022-12-03 23:03:00.0

Common Values

ValueCountFrequency (%)
2019-03-30 02:20:09.0 30
41.1%
2021-12-06 23:04:00.0 4
 
5.5%
2022-10-30 22:09:00.0 3
 
4.1%
2020-05-22 02:40:00.0 2
 
2.7%
2022-12-06 22:03:00.0 2
 
2.7%
2023-11-30 22:01:00.0 2
 
2.7%
2020-02-08 02:40:00.0 2
 
2.7%
2022-11-01 22:09:00.0 1
 
1.4%
2020-10-08 02:40:00.0 1
 
1.4%
2020-04-15 02:40:00.0 1
 
1.4%
Other values (25) 25
34.2%

Length

2024-04-06T20:43:10.531263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2019-03-30 30
20.5%
02:20:09.0 30
20.5%
02:40:00.0 15
 
10.3%
23:04:00.0 5
 
3.4%
2021-12-06 4
 
2.7%
2022-10-30 4
 
2.7%
22:09:00.0 4
 
2.7%
22:08:00.0 4
 
2.7%
22:03:00.0 4
 
2.7%
2023-11-30 3
 
2.1%
Other values (35) 43
29.5%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing73
Missing (%)100.0%
Memory size789.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)59.1%
Missing7
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean210105.68
Minimum207475.28
Maximum212784.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2024-04-06T20:43:10.759573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum207475.28
5-th percentile207756.04
Q1209077.15
median210352.57
Q3210861.38
95-th percentile211926.66
Maximum212784.62
Range5309.3354
Interquartile range (IQR)1784.229

Descriptive statistics

Standard deviation1280.574
Coefficient of variation (CV)0.0060949044
Kurtosis-0.41027261
Mean210105.68
Median Absolute Deviation (MAD)912.65452
Skewness-0.11582048
Sum13866975
Variance1639869.8
MonotonicityNot monotonic
2024-04-06T20:43:10.989704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
210780.126180232 5
 
6.8%
209083.899741533 4
 
5.5%
212784.616145219 3
 
4.1%
210861.379563103 3
 
4.1%
208883.088818201 3
 
4.1%
209477.553110954 3
 
4.1%
211512.118957571 2
 
2.7%
210398.0 2
 
2.7%
207475.280758481 2
 
2.7%
208994.017991356 2
 
2.7%
Other values (29) 37
50.7%
(Missing) 7
 
9.6%
ValueCountFrequency (%)
207475.280758481 2
2.7%
207645.203724018 2
2.7%
208088.558210131 1
 
1.4%
208195.225416527 1
 
1.4%
208321.022611045 1
 
1.4%
208883.088818201 3
4.1%
208912.918756475 1
 
1.4%
208914.529382215 1
 
1.4%
208994.017991356 2
2.7%
209011.701161698 2
2.7%
ValueCountFrequency (%)
212784.616145219 3
4.1%
211972.606698102 1
 
1.4%
211788.824 1
 
1.4%
211606.716620247 1
 
1.4%
211512.118957571 2
2.7%
211479.749223925 2
2.7%
211255.759612505 2
2.7%
211002.130394348 2
2.7%
210924.135972759 1
 
1.4%
210889.367141803 1
 
1.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)59.1%
Missing7
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean444653.53
Minimum441720.32
Maximum451151.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2024-04-06T20:43:11.404911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441720.32
5-th percentile441730.92
Q1443662.96
median444762.69
Q3445727.11
95-th percentile447047.2
Maximum451151.17
Range9430.8442
Interquartile range (IQR)2064.1507

Descriptive statistics

Standard deviation1854.5777
Coefficient of variation (CV)0.0041708378
Kurtosis3.0457978
Mean444653.53
Median Absolute Deviation (MAD)1047.729
Skewness0.94992363
Sum29347133
Variance3439458.5
MonotonicityNot monotonic
2024-04-06T20:43:11.757748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
441730.920486073 5
 
6.8%
445916.209435271 4
 
5.5%
444102.40501477 3
 
4.1%
445365.50003122 3
 
4.1%
446048.260013091 3
 
4.1%
444430.025101964 3
 
4.1%
442806.736281394 2
 
2.7%
442553.0 2
 
2.7%
445345.560078936 2
 
2.7%
445826.545566831 2
 
2.7%
Other values (29) 37
50.7%
(Missing) 7
 
9.6%
ValueCountFrequency (%)
441720.322 1
 
1.4%
441730.920486073 5
6.8%
442137.578674 1
 
1.4%
442338.115571068 2
 
2.7%
442530.872722442 1
 
1.4%
442553.0 2
 
2.7%
442806.736281394 2
 
2.7%
443465.4592322 1
 
1.4%
443532.536607717 1
 
1.4%
443662.956402309 2
 
2.7%
ValueCountFrequency (%)
451151.166172295 2
2.7%
447380.181370712 2
2.7%
446048.260013091 3
4.1%
445960.615515654 1
 
1.4%
445916.209435271 4
5.5%
445913.088912404 1
 
1.4%
445826.545566831 2
2.7%
445750.206337916 2
2.7%
445657.80932984 1
 
1.4%
445553.706818488 2
2.7%

실험실면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size716.0 B
<NA>
71 
0
 
2

Length

Max length4
Median length4
Mean length3.9178082
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> 71
97.3%
0 2
 
2.7%

Length

2024-04-06T20:43:12.280725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:43:12.547506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 71
97.3%
0 2
 
2.7%

사업장구분명
Categorical

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size716.0 B
환경전문공사업
45 
<NA>
28 

Length

Max length7
Median length7
Mean length5.8493151
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
환경전문공사업 45
61.6%
<NA> 28
38.4%

Length

2024-04-06T20:43:12.882561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:43:13.219590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
환경전문공사업 45
61.6%
na 28
38.4%

영업소면적
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)100.0%
Missing67
Missing (%)91.8%
Infinite0
Infinite (%)0.0%
Mean78.666667
Minimum0
Maximum168
Zeros1
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size789.0 B
2024-04-06T20:43:13.501211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14
Q158.5
median78
Q391.5
95-th percentile149
Maximum168
Range168
Interquartile range (IQR)33

Descriptive statistics

Standard deviation55.044225
Coefficient of variation (CV)0.69971472
Kurtosis1.5522645
Mean78.666667
Median Absolute Deviation (MAD)18
Skewness0.38898168
Sum472
Variance3029.8667
MonotonicityNot monotonic
2024-04-06T20:43:13.705959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
66 1
 
1.4%
90 1
 
1.4%
168 1
 
1.4%
0 1
 
1.4%
92 1
 
1.4%
56 1
 
1.4%
(Missing) 67
91.8%
ValueCountFrequency (%)
0 1
1.4%
56 1
1.4%
66 1
1.4%
90 1
1.4%
92 1
1.4%
168 1
1.4%
ValueCountFrequency (%)
168 1
1.4%
92 1
1.4%
90 1
1.4%
66 1
1.4%
56 1
1.4%
0 1
1.4%

위탁업체명
Text

MISSING 

Distinct8
Distinct (%)53.3%
Missing58
Missing (%)79.5%
Memory size716.0 B
2024-04-06T20:43:13.967009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length8.1333333
Min length4

Characters and Unicode

Total characters122
Distinct characters33
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)33.3%

Sample

1st row유엔아이환경기술(주)
2nd row(주)산업공해연구소
3rd row(주)하이텍환경
4th row이중등록
5th row(주)진덕환경엔지니어링
ValueCountFrequency (%)
주)청명기연환경 4
26.7%
이중등록 3
20.0%
주)청룡환경 3
20.0%
유엔아이환경기술(주 1
 
6.7%
주)산업공해연구소 1
 
6.7%
주)하이텍환경 1
 
6.7%
주)진덕환경엔지니어링 1
 
6.7%
주)대명환경기술연구소 1
 
6.7%
2024-04-06T20:43:14.717172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 12
 
9.8%
) 12
 
9.8%
주 12
 
9.8%
환 11
 
9.0%
경 11
 
9.0%
청 7
 
5.7%
기 6
 
4.9%
연 6
 
4.9%
명 5
 
4.1%
이 5
 
4.1%
Other values (23) 35
28.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 98
80.3%
Open Punctuation 12
 
9.8%
Close Punctuation 12
 
9.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 12
12.2%
환 11
 
11.2%
경 11
 
11.2%
청 7
 
7.1%
기 6
 
6.1%
연 6
 
6.1%
명 5
 
5.1%
이 5
 
5.1%
룡 3
 
3.1%
록 3
 
3.1%
Other values (21) 29
29.6%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 98
80.3%
Common 24
 
19.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 12
12.2%
환 11
 
11.2%
경 11
 
11.2%
청 7
 
7.1%
기 6
 
6.1%
연 6
 
6.1%
명 5
 
5.1%
이 5
 
5.1%
룡 3
 
3.1%
록 3
 
3.1%
Other values (21) 29
29.6%
Common
ValueCountFrequency (%)
( 12
50.0%
) 12
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 98
80.3%
ASCII 24
 
19.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 12
50.0%
) 12
50.0%
Hangul
ValueCountFrequency (%)
주 12
12.2%
환 11
 
11.2%
경 11
 
11.2%
청 7
 
7.1%
기 6
 
6.1%
연 6
 
6.1%
명 5
 
5.1%
이 5
 
5.1%
룡 3
 
3.1%
록 3
 
3.1%
Other values (21) 29
29.6%

실험실지역코드
Categorical

IMBALANCE 

Distinct6
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size716.0 B
<NA>
63 
1171010500
 
4
1171011100
 
3
1153010200
 
1
4127310100
 
1

Length

Max length10
Median length4
Mean length4.8219178
Min length4

Unique

Unique3 ?
Unique (%)4.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 63
86.3%
1171010500 4
 
5.5%
1171011100 3
 
4.1%
1153010200 1
 
1.4%
4127310100 1
 
1.4%
4117310400 1
 
1.4%

Length

2024-04-06T20:43:15.010032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:43:15.217142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 63
86.3%
1171010500 4
 
5.5%
1171011100 3
 
4.1%
1153010200 1
 
1.4%
4127310100 1
 
1.4%
4117310400 1
 
1.4%

실험실우편번호
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)90.0%
Missing63
Missing (%)86.3%
Infinite0
Infinite (%)0.0%
Mean198238.3
Minimum138830
Maximum431848
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2024-04-06T20:43:15.406000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum138830
5-th percentile138831.8
Q1138836.25
median138845
Q3149347.75
95-th percentile429130.45
Maximum431848
Range293018
Interquartile range (IQR)10511.5

Descriptive statistics

Standard deviation121618.5
Coefficient of variation (CV)0.61349649
Kurtosis1.3986928
Mean198238.3
Median Absolute Deviation (MAD)11
Skewness1.773796
Sum1982383
Variance1.479106 × 1010
MonotonicityNot monotonic
2024-04-06T20:43:15.574680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
138834 2
 
2.7%
138830 1
 
1.4%
138844 1
 
1.4%
152848 1
 
1.4%
138847 1
 
1.4%
138843 1
 
1.4%
138846 1
 
1.4%
425809 1
 
1.4%
431848 1
 
1.4%
(Missing) 63
86.3%
ValueCountFrequency (%)
138830 1
1.4%
138834 2
2.7%
138843 1
1.4%
138844 1
1.4%
138846 1
1.4%
138847 1
1.4%
152848 1
1.4%
425809 1
1.4%
431848 1
1.4%
ValueCountFrequency (%)
431848 1
1.4%
425809 1
1.4%
152848 1
1.4%
138847 1
1.4%
138846 1
1.4%
138844 1
1.4%
138843 1
1.4%
138834 2
2.7%
138830 1
1.4%

실험실산
Categorical

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size716.0 B
<NA>
63 
1
10 

Length

Max length4
Median length4
Mean length3.5890411
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> 63
86.3%
1 10
 
13.7%

Length

2024-04-06T20:43:15.801060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:43:15.999449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 63
86.3%
1 10
 
13.7%

실험실번지
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)80.0%
Missing63
Missing (%)86.3%
Infinite0
Infinite (%)0.0%
Mean337.7
Minimum124
Maximum1027
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2024-04-06T20:43:16.168214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum124
5-th percentile138.4
Q1167.75
median200
Q3294
95-th percentile892
Maximum1027
Range903
Interquartile range (IQR)126.25

Descriptive statistics

Standard deviation297.99368
Coefficient of variation (CV)0.88242132
Kurtosis2.692522
Mean337.7
Median Absolute Deviation (MAD)60
Skewness1.8725831
Sum3377
Variance88800.233
MonotonicityNot monotonic
2024-04-06T20:43:16.906107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
294 2
 
2.7%
200 2
 
2.7%
124 1
 
1.4%
158 1
 
1.4%
197 1
 
1.4%
156 1
 
1.4%
727 1
 
1.4%
1027 1
 
1.4%
(Missing) 63
86.3%
ValueCountFrequency (%)
124 1
1.4%
156 1
1.4%
158 1
1.4%
197 1
1.4%
200 2
2.7%
294 2
2.7%
727 1
1.4%
1027 1
1.4%
ValueCountFrequency (%)
1027 1
1.4%
727 1
1.4%
294 2
2.7%
200 2
2.7%
197 1
1.4%
158 1
1.4%
156 1
1.4%
124 1
1.4%

실험실호
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)66.7%
Missing64
Missing (%)87.7%
Infinite0
Infinite (%)0.0%
Mean6
Minimum2
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2024-04-06T20:43:17.151791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median4
Q35
95-th percentile17.2
Maximum24
Range22
Interquartile range (IQR)3

Descriptive statistics

Standard deviation6.9641941
Coefficient of variation (CV)1.160699
Kurtosis7.4813173
Mean6
Median Absolute Deviation (MAD)2
Skewness2.6664903
Sum54
Variance48.5
MonotonicityNot monotonic
2024-04-06T20:43:17.433180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 3
 
4.1%
5 2
 
2.7%
24 1
 
1.4%
3 1
 
1.4%
7 1
 
1.4%
4 1
 
1.4%
(Missing) 64
87.7%
ValueCountFrequency (%)
2 3
4.1%
3 1
 
1.4%
4 1
 
1.4%
5 2
2.7%
7 1
 
1.4%
24 1
 
1.4%
ValueCountFrequency (%)
24 1
 
1.4%
7 1
 
1.4%
5 2
2.7%
4 1
 
1.4%
3 1
 
1.4%
2 3
4.1%

실험실통
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing73
Missing (%)100.0%
Memory size789.0 B

실험실반
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing73
Missing (%)100.0%
Memory size789.0 B

실험실특수주소
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing68
Missing (%)93.2%
Memory size716.0 B
2024-04-06T20:43:17.771502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.6
Min length4

Characters and Unicode

Total characters48
Distinct characters32
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

Unique5 ?
Unique (%)100.0%

Sample

1st row(5층)
2nd row(주)대명환경기술연구소
3rd row유앤아이환경기술(주)
4th row현대타운 403호
5th row안양 IT밸리 505호
ValueCountFrequency (%)
5층 1
12.5%
주)대명환경기술연구소 1
12.5%
유앤아이환경기술(주 1
12.5%
현대타운 1
12.5%
403호 1
12.5%
안양 1
12.5%
it밸리 1
12.5%
505호 1
12.5%
2024-04-06T20:43:18.314807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 3
 
6.2%
) 3
 
6.2%
5 3
 
6.2%
3
 
6.2%
주 2
 
4.2%
대 2
 
4.2%
환 2
 
4.2%
경 2
 
4.2%
기 2
 
4.2%
호 2
 
4.2%
Other values (22) 24
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30
62.5%
Decimal Number 7
 
14.6%
Open Punctuation 3
 
6.2%
Close Punctuation 3
 
6.2%
Space Separator 3
 
6.2%
Uppercase Letter 2
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2
 
6.7%
대 2
 
6.7%
환 2
 
6.7%
경 2
 
6.7%
기 2
 
6.7%
호 2
 
6.7%
술 2
 
6.7%
운 1
 
3.3%
양 1
 
3.3%
안 1
 
3.3%
Other values (13) 13
43.3%
Decimal Number
ValueCountFrequency (%)
5 3
42.9%
0 2
28.6%
3 1
 
14.3%
4 1
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
T 1
50.0%
I 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30
62.5%
Common 16
33.3%
Latin 2
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2
 
6.7%
대 2
 
6.7%
환 2
 
6.7%
경 2
 
6.7%
기 2
 
6.7%
호 2
 
6.7%
술 2
 
6.7%
운 1
 
3.3%
양 1
 
3.3%
안 1
 
3.3%
Other values (13) 13
43.3%
Common
ValueCountFrequency (%)
( 3
18.8%
) 3
18.8%
5 3
18.8%
3
18.8%
0 2
12.5%
3 1
 
6.2%
4 1
 
6.2%
Latin
ValueCountFrequency (%)
T 1
50.0%
I 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30
62.5%
ASCII 18
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 3
16.7%
) 3
16.7%
5 3
16.7%
3
16.7%
0 2
11.1%
T 1
 
5.6%
I 1
 
5.6%
3 1
 
5.6%
4 1
 
5.6%
Hangul
ValueCountFrequency (%)
주 2
 
6.7%
대 2
 
6.7%
환 2
 
6.7%
경 2
 
6.7%
기 2
 
6.7%
호 2
 
6.7%
술 2
 
6.7%
운 1
 
3.3%
양 1
 
3.3%
안 1
 
3.3%
Other values (13) 13
43.3%

실험실특수주소동
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing73
Missing (%)100.0%
Memory size789.0 B

실험실특수주소호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing73
Missing (%)100.0%
Memory size789.0 B

실험실도로명주소시군구코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size716.0 B
<NA>
62 
11710
8 
11530
 
1
41273
 
1
41173
 
1

Length

Max length5
Median length4
Mean length4.1506849
Min length4

Unique

Unique3 ?
Unique (%)4.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 62
84.9%
11710 8
 
11.0%
11530 1
 
1.4%
41273 1
 
1.4%
41173 1
 
1.4%

Length

2024-04-06T20:43:18.625917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:43:18.839278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 62
84.9%
11710 8
 
11.0%
11530 1
 
1.4%
41273 1
 
1.4%
41173 1
 
1.4%

실험실도로명주소읍면동코드
Categorical

IMBALANCE 

Distinct6
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size716.0 B
<NA>
62 
1171011100
 
4
1171010500
 
4
1153010200
 
1
4127310100
 
1

Length

Max length10
Median length4
Mean length4.9041096
Min length4

Unique

Unique3 ?
Unique (%)4.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 62
84.9%
1171011100 4
 
5.5%
1171010500 4
 
5.5%
1153010200 1
 
1.4%
4127310100 1
 
1.4%
4117310400 1
 
1.4%

Length

2024-04-06T20:43:19.047218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:43:19.268900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 62
84.9%
1171011100 4
 
5.5%
1171010500 4
 
5.5%
1153010200 1
 
1.4%
4127310100 1
 
1.4%
4117310400 1
 
1.4%

실험실도로명주소읍면동구분
Categorical

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size716.0 B
<NA>
62 
1
11 

Length

Max length4
Median length4
Mean length3.5479452
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> 62
84.9%
1 11
 
15.1%

Length

2024-04-06T20:43:19.521936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:43:19.738660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 62
84.9%
1 11
 
15.1%

실험실도로명주소코드
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)72.7%
Missing62
Missing (%)84.9%
Infinite0
Infinite (%)0.0%
Mean3904590
Minimum3123001
Maximum4349163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2024-04-06T20:43:19.916631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3123001
5-th percentile3123005
Q13669669.5
median4169192
Q34169450
95-th percentile4259306.5
Maximum4349163
Range1226162
Interquartile range (IQR)499780.5

Descriptive statistics

Standard deviation490768.24
Coefficient of variation (CV)0.12569008
Kurtosis-0.7607756
Mean3904590
Median Absolute Deviation (MAD)258
Skewness-1.1421418
Sum42950490
Variance2.4085346 × 1011
MonotonicityNot monotonic
2024-04-06T20:43:20.160845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4169450 3
 
4.1%
4169192 2
 
2.7%
3123001 1
 
1.4%
3123009 1
 
1.4%
4148335 1
 
1.4%
4169244 1
 
1.4%
3191004 1
 
1.4%
4349163 1
 
1.4%
(Missing) 62
84.9%
ValueCountFrequency (%)
3123001 1
 
1.4%
3123009 1
 
1.4%
3191004 1
 
1.4%
4148335 1
 
1.4%
4169192 2
2.7%
4169244 1
 
1.4%
4169450 3
4.1%
4349163 1
 
1.4%
ValueCountFrequency (%)
4349163 1
 
1.4%
4169450 3
4.1%
4169244 1
 
1.4%
4169192 2
2.7%
4148335 1
 
1.4%
3191004 1
 
1.4%
3123009 1
 
1.4%
3123001 1
 
1.4%

실험실도로명특수주소
Text

MISSING 

Distinct8
Distinct (%)72.7%
Missing62
Missing (%)84.9%
Memory size716.0 B
2024-04-06T20:43:20.500530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length10.909091
Min length5

Characters and Unicode

Total characters120
Distinct characters42
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

Unique6 ?
Unique (%)54.5%

Sample

1st row(방이동,(5층))
2nd row(석촌동)
3rd row(구로동,(주)대명환경기술연구소)
4th row(석촌동)
5th row(석촌동,유앤아이환경기술(주))
ValueCountFrequency (%)
석촌동 3
18.8%
방이동 3
18.8%
방이동,(5층 1
 
6.2%
구로동,(주)대명환경기술연구소 1
 
6.2%
석촌동,유앤아이환경기술(주 1
 
6.2%
고잔동,현대타운 1
 
6.2%
403호 1
 
6.2%
호계동,안양 1
 
6.2%
it밸리 1
 
6.2%
505호 1
 
6.2%
Other values (2) 2
12.5%
2024-04-06T20:43:21.228579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 14
 
11.7%
) 14
 
11.7%
동 11
 
9.2%
9
 
7.5%
이 5
 
4.2%
, 5
 
4.2%
석 4
 
3.3%
촌 4
 
3.3%
방 4
 
3.3%
호 4
 
3.3%
Other values (32) 46
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65
54.2%
Open Punctuation 14
 
11.7%
Close Punctuation 14
 
11.7%
Decimal Number 11
 
9.2%
Space Separator 9
 
7.5%
Other Punctuation 5
 
4.2%
Uppercase Letter 2
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 11
16.9%
이 5
 
7.7%
석 4
 
6.2%
촌 4
 
6.2%
방 4
 
6.2%
호 4
 
6.2%
대 2
 
3.1%
층 2
 
3.1%
환 2
 
3.1%
경 2
 
3.1%
Other values (21) 25
38.5%
Decimal Number
ValueCountFrequency (%)
3 3
27.3%
0 3
27.3%
5 3
27.3%
4 1
 
9.1%
2 1
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
T 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 65
54.2%
Common 53
44.2%
Latin 2
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 11
16.9%
이 5
 
7.7%
석 4
 
6.2%
촌 4
 
6.2%
방 4
 
6.2%
호 4
 
6.2%
대 2
 
3.1%
층 2
 
3.1%
환 2
 
3.1%
경 2
 
3.1%
Other values (21) 25
38.5%
Common
ValueCountFrequency (%)
( 14
26.4%
) 14
26.4%
9
17.0%
, 5
 
9.4%
3 3
 
5.7%
0 3
 
5.7%
5 3
 
5.7%
4 1
 
1.9%
2 1
 
1.9%
Latin
ValueCountFrequency (%)
I 1
50.0%
T 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 65
54.2%
ASCII 55
45.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 14
25.5%
) 14
25.5%
9
16.4%
, 5
 
9.1%
3 3
 
5.5%
0 3
 
5.5%
5 3
 
5.5%
I 1
 
1.8%
4 1
 
1.8%
T 1
 
1.8%
Hangul
ValueCountFrequency (%)
동 11
16.9%
이 5
 
7.7%
석 4
 
6.2%
촌 4
 
6.2%
방 4
 
6.2%
호 4
 
6.2%
대 2
 
3.1%
층 2
 
3.1%
환 2
 
3.1%
경 2
 
3.1%
Other values (21) 25
38.5%

실험실도로명주소건물층구분
Categorical

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size716.0 B
<NA>
62 
0
11 

Length

Max length4
Median length4
Mean length3.5479452
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> 62
84.9%
0 11
 
15.1%

Length

2024-04-06T20:43:21.697784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:43:21.985447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 62
84.9%
0 11
 
15.1%

실험실도로명주소건물본번호
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)81.8%
Missing62
Missing (%)84.9%
Infinite0
Infinite (%)0.0%
Mean66.090909
Minimum5
Maximum233
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2024-04-06T20:43:22.179716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile8
Q117.5
median30
Q365
95-th percentile227.5
Maximum233
Range228
Interquartile range (IQR)47.5

Descriptive statistics

Standard deviation83.552923
Coefficient of variation (CV)1.264212
Kurtosis1.1333883
Mean66.090909
Median Absolute Deviation (MAD)14
Skewness1.6070682
Sum727
Variance6981.0909
MonotonicityNot monotonic
2024-04-06T20:43:22.444776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
31 2
 
2.7%
30 2
 
2.7%
233 1
 
1.4%
222 1
 
1.4%
19 1
 
1.4%
11 1
 
1.4%
99 1
 
1.4%
16 1
 
1.4%
5 1
 
1.4%
(Missing) 62
84.9%
ValueCountFrequency (%)
5 1
1.4%
11 1
1.4%
16 1
1.4%
19 1
1.4%
30 2
2.7%
31 2
2.7%
99 1
1.4%
222 1
1.4%
233 1
1.4%
ValueCountFrequency (%)
233 1
1.4%
222 1
1.4%
99 1
1.4%
31 2
2.7%
30 2
2.7%
19 1
1.4%
16 1
1.4%
11 1
1.4%
5 1
1.4%

실험실도로명주소건물부번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size716.0 B
<NA>
71 
11
 
1
39
 
1

Length

Max length4
Median length4
Mean length3.9452055
Min length2

Unique

Unique2 ?
Unique (%)2.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 71
97.3%
11 1
 
1.4%
39 1
 
1.4%

Length

2024-04-06T20:43:22.741236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:43:23.002023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 71
97.3%
11 1
 
1.4%
39 1
 
1.4%

실험실도로명주소우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing73
Missing (%)100.0%
Memory size789.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)실험실면적사업장구분명영업소면적위탁업체명실험실지역코드실험실우편번호실험실산실험실번지실험실호실험실통실험실반실험실특수주소실험실특수주소동실험실특수주소호실험실도로명주소시군구코드실험실도로명주소읍면동코드실험실도로명주소읍면동구분실험실도로명주소코드실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호
032300003230000671982000011982-01-18<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-3433-7308<NA><NA>서울특별시 송파구 신천동 7-23 (5층)서울특별시 송파구 올림픽로 299 (신천동, 5층 업무부)138-240쌍용건설(주)2023-09-26 14:16:06U2022-12-08 22:08:00.0<NA>209083.899742445916.209435<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
132300003230000671982000021982-01-18<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-3433-7308<NA><NA>서울특별시 송파구 신천동 7-23 5층 업무부서울특별시 송파구 올림픽로 299 (신천동, 5층 업무부)138-726쌍용건설(주)2023-07-21 16:47:35U2022-12-06 22:03:00.0<NA>209083.899742445916.209435<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
232300003230000671982000031982-01-18<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-3433-7308<NA><NA>서울특별시 송파구 신천동 7-23 5층 업무부서울특별시 송파구 올림픽로 299 (신천동, 5층 업무부)138-726쌍용건설(주)2023-07-21 16:48:30U2022-12-06 22:03:00.0<NA>209083.899742445916.209435<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3323000032300006719850000119850523<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-421-0431<NA><NA>서울특별시 송파구 방이동 149-9서울특별시 송파구 백제고분로 490 (방이동)<NA>(주)거보산업2022-06-21 11:06:18U2021-12-05 22:03:00.0<NA>210079.592497445750.206338<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
432300003230000671991000011991-11-01<NA>1영업/정상BBBB영업<NA><NA><NA><NA>0234345800<NA><NA>서울특별시 송파구 신천동 7-19서울특별시 송파구 올림픽로 289 (신천동, 잠실시그마타워)05510에이치엘디앤아이한라 주식회사2023-04-11 18:14:51U2022-12-03 23:03:00.0<NA>208994.017991445826.545567<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5323000032300006719920000119920404<NA>3폐업2폐업<NA><NA><NA><NA>02-3434-5470<NA><NA>서울특별시 송파구 신천동 7-19 시그마타워 8층 토목영업부<NA><NA>주식회사 한라2016-11-29 17:23:56I2019-03-30 02:20:09.0<NA>208994.017991445826.545567<NA>환경전문공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6323000032300006719980000119980120<NA>4취소/말소/만료/정지/중지4폐쇄19980120<NA><NA><NA>0234337318<NA><NA>서울특별시 송파구 신천동 7-23 (5층)서울특별시 송파구 올림픽로 299 (신천동,(5층))<NA>쌍용건설(주)2015-10-19 14:40:53I2019-03-30 02:20:09.0<NA>209083.899742445916.209435<NA>환경전문공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
732300003230000671998000021998-01-20<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-3400-5627<NA><NA>서울특별시 송파구 문정동 107-7 동일빌딩서울특별시 송파구 송이로30길 7, 동일빌딩 (문정동)05800(주)동일기술공사2023-05-26 17:26:49U2022-12-04 22:08:00.0<NA>211512.118958442806.736281<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8323000032300006720000000120000803<NA>3폐업2폐업20110317<NA><NA><NA>024158688<NA><NA>서울특별시 송파구 방이동 124-24 (5층)서울특별시 송파구 가락로 233 (방이동,(5층))<NA>거윤이엔씨(주)2015-10-19 13:50:20I2019-03-30 02:20:09.0<NA>210307.136029445225.402<NA>환경전문공사업<NA><NA>1171011100138830112424<NA><NA>(5층)<NA><NA>11710117101110013123001(방이동,(5층))0233<NA><NA>
9323000032300006720020000120021126<NA>4취소/말소/만료/정지/중지4폐쇄20121212<NA><NA><NA>417-1652<NA><NA>서울특별시 송파구 방이동 190-8 지암빌딩 302호서울특별시 송파구 위례성대로16길 5 (방이동, 지암빌딩 302호)138834창대크린텍(주)2015-10-19 14:14:34I2019-03-30 02:20:09.0<NA>211002.130394445553.706818<NA>환경전문공사업<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
63323000032300006720190000220190710<NA>4취소/말소/만료/정지/중지4폐쇄20190710<NA><NA><NA>02-422-6462<NA><NA>서울특별시 송파구 마천동 33 대산빌딩서울특별시 송파구 마천로 251, 대산빌딩 5층 (마천동)05734미령환경개발(주)2020-02-06 14:18:10U2020-02-08 02:40:00.0<NA>212784.616145444102.405015<NA>환경전문공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6432300003230000672019000032019-08-26<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-422-7767<NA><NA>서울특별시 광진구 중곡동 150-65서울특별시 광진구 용마산로 100 (중곡동)04941(주)윈텍글로비스2023-08-30 18:03:42U2022-12-09 00:01:00.0<NA>207645.203724451151.166172<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
65323000032300006720200000120200219<NA>3폐업2폐업20200330<NA><NA><NA>02-582-3223<NA><NA>서울특별시 송파구 문정동 644 문정현대지식산업센터1-1서울특별시 송파구 법원로11길 11, 문정현대지식산업센터1-1 A동 1111호 (문정동)05836주식회사 오포2020-03-30 12:57:38U2020-04-01 02:40:00.0<NA>210398.0442553.0<NA>환경전문공사업<NA>(주)청명기연환경<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6632300003230000672020000032020-07-07<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-422-7767<NA><NA>서울특별시 광진구 중곡동 150-65서울특별시 광진구 용마산로 100 (중곡동)04941(주)윈텍글로비스2023-11-23 09:32:50U2022-10-31 22:05:00.0<NA>207645.203724451151.166172<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67323000032300006720200000520200709<NA>3폐업2폐업20221014<NA><NA><NA>027197452<NA><NA>서울특별시 송파구 방이동 111-15 건영빌딩서울특별시 송파구 오금로19길 13, 건영빌딩 2층 (방이동)05641(주)아시아소음진동연구소2023-01-25 14:24:53U2022-11-30 22:07:00.0<NA>209991.397551445435.041229<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
68323000032300006720200000620200908<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-473-4527<NA><NA>서울특별시 송파구 가락동 194-25서울특별시 송파구 동남로16길 17, 태림빌딩 2층 (가락동)05784(주)일신네이쳐2021-05-13 16:46:21U2021-05-18 02:40:00.0<NA>211606.71662443532.536608<NA>환경전문공사업56(주)청룡환경<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
69323000032300006720210000120210618<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-401-3825<NA><NA>서울특별시 송파구 삼전동 22-1 202호서울특별시 송파구 석촌호수로 138, 202호 (삼전동)05600한국환경설계(주)2022-10-26 13:40:33U2021-10-30 22:08:00.0<NA>208088.55821444991.490733<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7032300003230000672021000022021-09-29<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-479-1411<NA><NA>서울특별시 송파구 풍납동 403-9 402호서울특별시 송파구 올림픽로47길 20, 402호 (풍납동)05537천지환경건설(주)2024-01-19 17:58:35U2023-11-30 22:01:00.0<NA>210247.717092447380.181371<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7132300003230000672022000012022-09-21<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-445-5805<NA><NA>서울특별시 송파구 문정동 642-3 문정에스케이브이원지엘메트로시티 B동동 1403호서울특별시 송파구 법원로 128, 문정에스케이브이원지엘메트로시티 B동 14층 1403호 (문정동)05854비손푸른엔지니어링(주)2023-10-27 10:04:17U2022-10-30 22:09:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7232300003230000672023000012023-09-18<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-3018-5000<NA><NA>서울특별시 송파구 문정동 642-3 문정역SKV1서울특별시 송파구 법원로 128, 문정역SKV1 C동 517호 (문정동)05854주식회사 에코셋2023-09-18 17:16:09I2022-12-08 22:00:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>