Overview

Dataset statistics

Number of variables40
Number of observations1044
Missing cells22218
Missing cells (%)53.2%
Duplicate rows13
Duplicate rows (%)1.2%
Total size in memory351.9 KiB
Average record size in memory345.1 B

Variable types

Categorical8
Text9
DateTime2
Unsupported6
Numeric15

Dataset

Description환경 전문공사업체 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=007XITQSMOQO59H5V0K638603&infSeq=1

Alerts

사업장구분명정보 has constant value ""Constant
Dataset has 13 (1.2%) duplicate rowsDuplicates
영업상태구분코드 is highly imbalanced (84.1%)Imbalance
영업상태명 is highly imbalanced (84.1%)Imbalance
실험실면적정보 is highly imbalanced (55.5%)Imbalance
실험실산명 is highly imbalanced (69.0%)Imbalance
실험실도로명주소읍면동명 is highly imbalanced (66.3%)Imbalance
실험실도로명주소건물층구분 is highly imbalanced (53.2%)Imbalance
인허가취소일자 has 1044 (100.0%) missing valuesMissing
폐업일자 has 1033 (98.9%) missing valuesMissing
소재지시설전화번호 has 1044 (100.0%) missing valuesMissing
소재지면적정보 has 1044 (100.0%) missing valuesMissing
도로명우편번호 has 248 (23.8%) missing valuesMissing
소재지지번주소 has 12 (1.1%) missing valuesMissing
소재지우편번호 has 29 (2.8%) missing valuesMissing
WGS84위도 has 135 (12.9%) missing valuesMissing
WGS84경도 has 135 (12.9%) missing valuesMissing
업태구분명정보 has 1044 (100.0%) missing valuesMissing
X좌표값 has 261 (25.0%) missing valuesMissing
Y좌표값 has 261 (25.0%) missing valuesMissing
영업소면적 has 380 (36.4%) missing valuesMissing
실험실지역코드 has 947 (90.7%) missing valuesMissing
실험실우편번호 has 947 (90.7%) missing valuesMissing
실험실번지 has 951 (91.1%) missing valuesMissing
실험실호정보 has 951 (91.1%) missing valuesMissing
실험실통정보 has 1044 (100.0%) missing valuesMissing
실험실반정보 has 1044 (100.0%) missing valuesMissing
실험실특수주소 has 978 (93.7%) missing valuesMissing
실험실특수동주소 has 1036 (99.2%) missing valuesMissing
실험실특수호주소 has 1009 (96.6%) missing valuesMissing
실험실도로명주소읍면동정보 has 940 (90.0%) missing valuesMissing
실험실도로명주소정보 has 940 (90.0%) missing valuesMissing
실험실도로명특수주소 has 978 (93.7%) missing valuesMissing
실험실도로명주소건물본번호 has 940 (90.0%) missing valuesMissing
실험실도로명주소건물부번호 has 953 (91.3%) missing valuesMissing
실험실도로명주소우편번호 has 940 (90.0%) missing valuesMissing
실험실도로명시군구정보 has 940 (90.0%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지시설전화번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실통정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실반정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영업소면적 has 652 (62.5%) zerosZeros
실험실호정보 has 26 (2.5%) zerosZeros
실험실도로명주소건물부번호 has 78 (7.5%) zerosZeros

Reproduction

Analysis started2023-12-10 21:45:26.887510
Analysis finished2023-12-10 21:45:27.805115
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct31
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
안산시
127 
화성시
115 
안양시
102 
성남시
86 
시흥시
73 
Other values (26)
541 

Length

Max length4
Median length3
Mean length3.0383142
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row가평군
2nd row가평군
3rd row고양시
4th row고양시
5th row고양시

Common Values

ValueCountFrequency (%)
안산시 127
12.2%
화성시 115
11.0%
안양시 102
 
9.8%
성남시 86
 
8.2%
시흥시 73
 
7.0%
용인시 62
 
5.9%
수원시 56
 
5.4%
부천시 56
 
5.4%
김포시 55
 
5.3%
고양시 27
 
2.6%
Other values (21) 285
27.3%

Length

2023-12-11T06:45:27.855205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안산시 127
12.2%
화성시 115
11.0%
안양시 102
 
9.8%
성남시 86
 
8.2%
시흥시 73
 
7.0%
용인시 62
 
5.9%
수원시 56
 
5.4%
부천시 56
 
5.4%
김포시 55
 
5.3%
고양시 27
 
2.6%
Other values (21) 285
27.3%

사업장명
Text

Distinct701
Distinct (%)67.1%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2023-12-11T06:45:28.028086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length8.4310345
Min length2

Characters and Unicode

Total characters8802
Distinct characters308
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique494 ?
Unique (%)47.3%

Sample

1st row(주)일진환경건설
2nd row(주)청명
3rd row스톰코리아(주)
4th row(주)국제이엔씨
5th row(주)지렉트코퍼레이션
ValueCountFrequency (%)
주식회사 126
 
10.6%
주)현보산업 11
 
0.9%
대명엔텍(주 7
 
0.6%
위드환경건설 7
 
0.6%
케이비엔텍㈜ 7
 
0.6%
대원에코텍 5
 
0.4%
주흥환경(주 5
 
0.4%
한국정화기술(주 5
 
0.4%
에스씨이엔이(주 5
 
0.4%
대우조선해양건설㈜ 5
 
0.4%
Other values (704) 1007
84.6%
2023-12-11T06:45:28.364139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 887
 
10.1%
( 764
 
8.7%
) 764
 
8.7%
이 391
 
4.4%
엔 280
 
3.2%
경 204
 
2.3%
지 196
 
2.2%
환 194
 
2.2%
에 179
 
2.0%
사 153
 
1.7%
Other values (298) 4790
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6917
78.6%
Open Punctuation 764
 
8.7%
Close Punctuation 764
 
8.7%
Space Separator 146
 
1.7%
Other Symbol 142
 
1.6%
Dash Punctuation 36
 
0.4%
Uppercase Letter 27
 
0.3%
Decimal Number 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 887
 
12.8%
이 391
 
5.7%
엔 280
 
4.0%
경 204
 
2.9%
지 196
 
2.8%
환 194
 
2.8%
에 179
 
2.6%
사 153
 
2.2%
텍 146
 
2.1%
스 140
 
2.0%
Other values (284) 4147
60.0%
Uppercase Letter
ValueCountFrequency (%)
E 6
22.2%
N 5
18.5%
H 4
14.8%
S 4
14.8%
T 3
11.1%
C 3
11.1%
V 2
 
7.4%
Decimal Number
ValueCountFrequency (%)
5 3
50.0%
8 3
50.0%
Open Punctuation
ValueCountFrequency (%)
( 764
100.0%
Close Punctuation
ValueCountFrequency (%)
) 764
100.0%
Space Separator
ValueCountFrequency (%)
146
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 142
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7059
80.2%
Common 1716
 
19.5%
Latin 27
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 887
 
12.6%
이 391
 
5.5%
엔 280
 
4.0%
경 204
 
2.9%
지 196
 
2.8%
환 194
 
2.7%
에 179
 
2.5%
사 153
 
2.2%
텍 146
 
2.1%
㈜ 142
 
2.0%
Other values (285) 4287
60.7%
Latin
ValueCountFrequency (%)
E 6
22.2%
N 5
18.5%
H 4
14.8%
S 4
14.8%
T 3
11.1%
C 3
11.1%
V 2
 
7.4%
Common
ValueCountFrequency (%)
( 764
44.5%
) 764
44.5%
146
 
8.5%
- 36
 
2.1%
5 3
 
0.2%
8 3
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6917
78.6%
ASCII 1743
 
19.8%
None 142
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 887
 
12.8%
이 391
 
5.7%
엔 280
 
4.0%
경 204
 
2.9%
지 196
 
2.8%
환 194
 
2.8%
에 179
 
2.6%
사 153
 
2.2%
텍 146
 
2.1%
스 140
 
2.0%
Other values (284) 4147
60.0%
ASCII
ValueCountFrequency (%)
( 764
43.8%
) 764
43.8%
146
 
8.4%
- 36
 
2.1%
E 6
 
0.3%
N 5
 
0.3%
H 4
 
0.2%
S 4
 
0.2%
5 3
 
0.2%
8 3
 
0.2%
Other values (3) 8
 
0.5%
None
ValueCountFrequency (%)
㈜ 142
100.0%

인허가일자
Date

Distinct703
Distinct (%)67.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
Minimum2006-12-06 00:00:00
Maximum2023-12-05 00:00:00
2023-12-11T06:45:28.508365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:28.636196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1044
Missing (%)100.0%
Memory size9.3 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
N
1004 
Q
 
36
S
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
N 1004
96.2%
Q 36
 
3.4%
S 4
 
0.4%

Length

2023-12-11T06:45:28.760764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:45:28.857253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 1004
96.2%
q 36
 
3.4%
s 4
 
0.4%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
신규
1004 
폐업
 
36
휴업
 
4

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신규 1004
96.2%
폐업 36
 
3.4%
휴업 4
 
0.4%

Length

2023-12-11T06:45:28.940683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:45:29.028739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신규 1004
96.2%
폐업 36
 
3.4%
휴업 4
 
0.4%

폐업일자
Date

MISSING 

Distinct10
Distinct (%)90.9%
Missing1033
Missing (%)98.9%
Memory size8.3 KiB
Minimum2016-12-06 00:00:00
Maximum2023-11-01 00:00:00
2023-12-11T06:45:29.139593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:29.237073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

소재지시설전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1044
Missing (%)100.0%
Memory size9.3 KiB

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1044
Missing (%)100.0%
Memory size9.3 KiB

도로명우편번호
Text

MISSING 

Distinct454
Distinct (%)57.0%
Missing248
Missing (%)23.8%
Memory size8.3 KiB
2023-12-11T06:45:29.505791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.4145729
Min length5

Characters and Unicode

Total characters4310
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

Unique284 ?
Unique (%)35.7%

Sample

1st row12403
2nd row10447
3rd row10526
4th row10403
5th row10442
ValueCountFrequency (%)
14059 10
 
1.3%
15012 8
 
1.0%
14056 8
 
1.0%
15434 8
 
1.0%
10049 7
 
0.9%
18274 7
 
0.9%
16675 7
 
0.9%
12739 7
 
0.9%
14538 7
 
0.9%
15455 7
 
0.9%
Other values (444) 720
90.5%
2023-12-11T06:45:29.917531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 818
19.0%
4 695
16.1%
5 455
10.6%
0 454
10.5%
8 403
9.4%
2 368
8.5%
6 300
 
7.0%
3 293
 
6.8%
7 244
 
5.7%
9 221
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4251
98.6%
Dash Punctuation 59
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 818
19.2%
4 695
16.3%
5 455
10.7%
0 454
10.7%
8 403
9.5%
2 368
8.7%
6 300
 
7.1%
3 293
 
6.9%
7 244
 
5.7%
9 221
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 59
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4310
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 818
19.0%
4 695
16.1%
5 455
10.6%
0 454
10.5%
8 403
9.4%
2 368
8.5%
6 300
 
7.0%
3 293
 
6.8%
7 244
 
5.7%
9 221
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4310
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 818
19.0%
4 695
16.1%
5 455
10.6%
0 454
10.5%
8 403
9.4%
2 368
8.5%
6 300
 
7.0%
3 293
 
6.8%
7 244
 
5.7%
9 221
 
5.1%

소재지도로명주소
Text

Distinct757
Distinct (%)73.2%
Missing10
Missing (%)1.0%
Memory size8.3 KiB
2023-12-11T06:45:30.194736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length43.5
Mean length32.116054
Min length14

Characters and Unicode

Total characters33208
Distinct characters423
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique580 ?
Unique (%)56.1%

Sample

1st row경기도 가평군 가평읍 연인2길 13-15
2nd row경기도 가평군 북면 화악산로124번길 11
3rd row경기도 고양시 일산동구 중앙로 1079, 백석역더리브스타일 615호(백석동)
4th row경기도 고양시 일산서구 고봉로 319 (일산동)
5th row경기도 고양시 덕양구 충장로 22 (행신동)
ValueCountFrequency (%)
경기도 1003
 
15.3%
안산시 127
 
1.9%
127
 
1.9%
화성시 112
 
1.7%
안양시 102
 
1.6%
단원구 100
 
1.5%
성남시 86
 
1.3%
동안구 85
 
1.3%
시흥시 69
 
1.1%
용인시 64
 
1.0%
Other values (1711) 4693
71.5%
2023-12-11T06:45:30.601482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5534
 
16.7%
시 1190
 
3.6%
동 1099
 
3.3%
기 1080
 
3.3%
도 1058
 
3.2%
경 1043
 
3.1%
1 985
 
3.0%
로 966
 
2.9%
, 836
 
2.5%
) 789
 
2.4%
Other values (413) 18628
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19037
57.3%
Space Separator 5534
 
16.7%
Decimal Number 5035
 
15.2%
Other Punctuation 1540
 
4.6%
Close Punctuation 789
 
2.4%
Open Punctuation 789
 
2.4%
Dash Punctuation 245
 
0.7%
Uppercase Letter 203
 
0.6%
Math Symbol 18
 
0.1%
Lowercase Letter 18
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1190
 
6.3%
동 1099
 
5.8%
기 1080
 
5.7%
도 1058
 
5.6%
경 1043
 
5.5%
로 966
 
5.1%
구 522
 
2.7%
호 519
 
2.7%
안 492
 
2.6%
길 374
 
2.0%
Other values (365) 10694
56.2%
Uppercase Letter
ValueCountFrequency (%)
A 44
21.7%
B 35
17.2%
T 26
12.8%
I 22
10.8%
C 11
 
5.4%
K 10
 
4.9%
E 8
 
3.9%
R 7
 
3.4%
S 7
 
3.4%
F 6
 
3.0%
Other values (11) 27
13.3%
Decimal Number
ValueCountFrequency (%)
1 985
19.6%
2 753
15.0%
0 606
12.0%
3 547
10.9%
4 495
9.8%
5 421
8.4%
6 375
 
7.4%
7 305
 
6.1%
8 299
 
5.9%
9 249
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
e 7
38.9%
n 3
16.7%
b 2
 
11.1%
t 2
 
11.1%
c 2
 
11.1%
r 2
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 836
54.3%
* 689
44.7%
. 9
 
0.6%
& 3
 
0.2%
/ 3
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 15
83.3%
∥ 3
 
16.7%
Space Separator
ValueCountFrequency (%)
5534
100.0%
Close Punctuation
ValueCountFrequency (%)
) 789
100.0%
Open Punctuation
ValueCountFrequency (%)
( 789
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 245
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19037
57.3%
Common 13950
42.0%
Latin 221
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1190
 
6.3%
동 1099
 
5.8%
기 1080
 
5.7%
도 1058
 
5.6%
경 1043
 
5.5%
로 966
 
5.1%
구 522
 
2.7%
호 519
 
2.7%
안 492
 
2.6%
길 374
 
2.0%
Other values (365) 10694
56.2%
Latin
ValueCountFrequency (%)
A 44
19.9%
B 35
15.8%
T 26
11.8%
I 22
10.0%
C 11
 
5.0%
K 10
 
4.5%
E 8
 
3.6%
R 7
 
3.2%
e 7
 
3.2%
S 7
 
3.2%
Other values (17) 44
19.9%
Common
ValueCountFrequency (%)
5534
39.7%
1 985
 
7.1%
, 836
 
6.0%
) 789
 
5.7%
( 789
 
5.7%
2 753
 
5.4%
* 689
 
4.9%
0 606
 
4.3%
3 547
 
3.9%
4 495
 
3.5%
Other values (11) 1927
 
13.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19037
57.3%
ASCII 14168
42.7%
Math Operators 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5534
39.1%
1 985
 
7.0%
, 836
 
5.9%
) 789
 
5.6%
( 789
 
5.6%
2 753
 
5.3%
* 689
 
4.9%
0 606
 
4.3%
3 547
 
3.9%
4 495
 
3.5%
Other values (37) 2145
 
15.1%
Hangul
ValueCountFrequency (%)
시 1190
 
6.3%
동 1099
 
5.8%
기 1080
 
5.7%
도 1058
 
5.6%
경 1043
 
5.5%
로 966
 
5.1%
구 522
 
2.7%
호 519
 
2.7%
안 492
 
2.6%
길 374
 
2.0%
Other values (365) 10694
56.2%
Math Operators
ValueCountFrequency (%)
∥ 3
100.0%

소재지지번주소
Text

MISSING 

Distinct757
Distinct (%)73.4%
Missing12
Missing (%)1.1%
Memory size8.3 KiB
2023-12-11T06:45:30.881565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length41
Mean length27.957364
Min length15

Characters and Unicode

Total characters28852
Distinct characters395
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique586 ?
Unique (%)56.8%

Sample

1st row경기도 가평군 가평읍 읍내1리 468번지 34호
2nd row경기도 가평군 북면 목동리 699-33
3rd row경기도 고양시 일산동구 백석동 1335번지 백석역더리브스타일 615호
4th row경기도 고양시일산서구 일산1동 574번지
5th row경기도 고양시 덕양구 행신동 761-3번지
ValueCountFrequency (%)
경기도 1031
 
17.3%
화성시 115
 
1.9%
안산시 102
 
1.7%
단원구 80
 
1.3%
안양시 74
 
1.2%
시흥시 73
 
1.2%
65
 
1.1%
동안구 64
 
1.1%
번지 60
 
1.0%
호 60
 
1.0%
Other values (1576) 4249
71.1%
2023-12-11T06:45:31.313231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5479
 
19.0%
시 1168
 
4.0%
1 1082
 
3.8%
기 1077
 
3.7%
동 1061
 
3.7%
도 1061
 
3.7%
경 1044
 
3.6%
2 694
 
2.4%
* 648
 
2.2%
- 637
 
2.2%
Other values (385) 14901
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16604
57.5%
Space Separator 5479
 
19.0%
Decimal Number 5167
 
17.9%
Other Punctuation 695
 
2.4%
Dash Punctuation 637
 
2.2%
Uppercase Letter 205
 
0.7%
Lowercase Letter 18
 
0.1%
Close Punctuation 17
 
0.1%
Open Punctuation 17
 
0.1%
Math Symbol 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1168
 
7.0%
기 1077
 
6.5%
동 1061
 
6.4%
도 1061
 
6.4%
경 1044
 
6.3%
지 581
 
3.5%
호 558
 
3.4%
구 508
 
3.1%
번 488
 
2.9%
안 417
 
2.5%
Other values (337) 8641
52.0%
Uppercase Letter
ValueCountFrequency (%)
A 43
21.0%
B 35
17.1%
T 26
12.7%
I 24
11.7%
C 11
 
5.4%
E 10
 
4.9%
K 10
 
4.9%
S 7
 
3.4%
R 7
 
3.4%
F 6
 
2.9%
Other values (11) 26
12.7%
Decimal Number
ValueCountFrequency (%)
1 1082
20.9%
2 694
13.4%
0 591
11.4%
4 513
9.9%
3 477
9.2%
5 463
9.0%
6 373
 
7.2%
7 341
 
6.6%
8 333
 
6.4%
9 300
 
5.8%
Lowercase Letter
ValueCountFrequency (%)
e 7
38.9%
n 3
16.7%
t 2
 
11.1%
c 2
 
11.1%
r 2
 
11.1%
b 2
 
11.1%
Other Punctuation
ValueCountFrequency (%)
* 648
93.2%
, 33
 
4.7%
. 8
 
1.2%
& 3
 
0.4%
/ 3
 
0.4%
Math Symbol
ValueCountFrequency (%)
~ 10
76.9%
∥ 3
 
23.1%
Space Separator
ValueCountFrequency (%)
5479
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 637
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16604
57.5%
Common 12025
41.7%
Latin 223
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1168
 
7.0%
기 1077
 
6.5%
동 1061
 
6.4%
도 1061
 
6.4%
경 1044
 
6.3%
지 581
 
3.5%
호 558
 
3.4%
구 508
 
3.1%
번 488
 
2.9%
안 417
 
2.5%
Other values (337) 8641
52.0%
Latin
ValueCountFrequency (%)
A 43
19.3%
B 35
15.7%
T 26
11.7%
I 24
10.8%
C 11
 
4.9%
E 10
 
4.5%
K 10
 
4.5%
S 7
 
3.1%
e 7
 
3.1%
R 7
 
3.1%
Other values (17) 43
19.3%
Common
ValueCountFrequency (%)
5479
45.6%
1 1082
 
9.0%
2 694
 
5.8%
* 648
 
5.4%
- 637
 
5.3%
0 591
 
4.9%
4 513
 
4.3%
3 477
 
4.0%
5 463
 
3.9%
6 373
 
3.1%
Other values (11) 1068
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16604
57.5%
ASCII 12245
42.4%
Math Operators 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5479
44.7%
1 1082
 
8.8%
2 694
 
5.7%
* 648
 
5.3%
- 637
 
5.2%
0 591
 
4.8%
4 513
 
4.2%
3 477
 
3.9%
5 463
 
3.8%
6 373
 
3.0%
Other values (37) 1288
 
10.5%
Hangul
ValueCountFrequency (%)
시 1168
 
7.0%
기 1077
 
6.5%
동 1061
 
6.4%
도 1061
 
6.4%
경 1044
 
6.3%
지 581
 
3.5%
호 558
 
3.4%
구 508
 
3.1%
번 488
 
2.9%
안 417
 
2.5%
Other values (337) 8641
52.0%
Math Operators
ValueCountFrequency (%)
∥ 3
100.0%

소재지우편번호
Text

MISSING 

Distinct564
Distinct (%)55.6%
Missing29
Missing (%)2.8%
Memory size8.3 KiB
2023-12-11T06:45:31.648856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3684729
Min length5

Characters and Unicode

Total characters5449
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

Unique349 ?
Unique (%)34.4%

Sample

1st row477805
2nd row12403
3rd row10447
4th row411823
5th row10526
ValueCountFrequency (%)
14446 14
 
1.4%
15455 13
 
1.3%
14056 12
 
1.2%
14059 12
 
1.2%
14067 10
 
1.0%
10049 9
 
0.9%
15434 9
 
0.9%
18274 9
 
0.9%
14057 8
 
0.8%
15850 8
 
0.8%
Other values (554) 911
89.8%
2023-12-11T06:45:32.074571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1064
19.5%
4 889
16.3%
0 590
10.8%
5 581
10.7%
8 487
8.9%
2 458
8.4%
6 387
 
7.1%
3 375
 
6.9%
9 285
 
5.2%
7 280
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5396
99.0%
Dash Punctuation 53
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1064
19.7%
4 889
16.5%
0 590
10.9%
5 581
10.8%
8 487
9.0%
2 458
8.5%
6 387
 
7.2%
3 375
 
6.9%
9 285
 
5.3%
7 280
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5449
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1064
19.5%
4 889
16.3%
0 590
10.8%
5 581
10.7%
8 487
8.9%
2 458
8.4%
6 387
 
7.1%
3 375
 
6.9%
9 285
 
5.2%
7 280
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5449
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1064
19.5%
4 889
16.3%
0 590
10.8%
5 581
10.7%
8 487
8.9%
2 458
8.4%
6 387
 
7.1%
3 375
 
6.9%
9 285
 
5.2%
7 280
 
5.1%

WGS84위도
Real number (ℝ)

MISSING 

Distinct621
Distinct (%)68.3%
Missing135
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean37.381345
Minimum34.85359
Maximum38.00569
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-12-11T06:45:32.204326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.85359
5-th percentile37.077319
Q137.281377
median37.357574
Q337.465109
95-th percentile37.75215
Maximum38.00569
Range3.1521003
Interquartile range (IQR)0.18373165

Descriptive statistics

Standard deviation0.2031111
Coefficient of variation (CV)0.0054334883
Kurtosis25.861821
Mean37.381345
Median Absolute Deviation (MAD)0.086867045
Skewness-1.7409699
Sum33979.642
Variance0.041254119
MonotonicityNot monotonic
2023-12-11T06:45:32.315329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.5277300021 11
 
1.1%
37.3916222637 9
 
0.9%
37.3025322448 7
 
0.7%
37.5047188119 7
 
0.7%
37.5535037868 6
 
0.6%
37.1934658456 6
 
0.6%
37.453477773 5
 
0.5%
37.3132411921 5
 
0.5%
37.3107414111 5
 
0.5%
37.4190044038 5
 
0.5%
Other values (611) 843
80.7%
(Missing) 135
 
12.9%
ValueCountFrequency (%)
34.8535899 1
0.1%
36.9316667 1
0.1%
36.9613268389 1
0.1%
36.9636980582 2
0.2%
36.9863672621 1
0.1%
36.9865254 2
0.2%
36.9876094041 1
0.1%
36.9904190801 1
0.1%
36.9921193482 1
0.1%
36.9985948491 1
0.1%
ValueCountFrequency (%)
38.0056901945 1
0.1%
37.899549 1
0.1%
37.8932716975 1
0.1%
37.8793093 1
0.1%
37.8754142073 1
0.1%
37.8733232192 1
0.1%
37.8732437 1
0.1%
37.8576932 1
0.1%
37.8506982427 1
0.1%
37.8427044805 2
0.2%

WGS84경도
Real number (ℝ)

MISSING 

Distinct621
Distinct (%)68.3%
Missing135
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean126.95454
Minimum126.53876
Maximum128.37755
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-12-11T06:45:32.432261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53876
5-th percentile126.70039
Q1126.7897
median126.95524
Q3127.10099
95-th percentile127.25801
Maximum128.37755
Range1.8387972
Interquartile range (IQR)0.31129287

Descriptive statistics

Standard deviation0.20252471
Coefficient of variation (CV)0.0015952537
Kurtosis2.4815694
Mean126.95454
Median Absolute Deviation (MAD)0.15425816
Skewness0.7248582
Sum115401.68
Variance0.041016259
MonotonicityNot monotonic
2023-12-11T06:45:32.546252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7715769978 11
 
1.1%
126.97301115 9
 
0.9%
126.810381327 7
 
0.7%
126.7672298008 7
 
0.7%
127.1946802895 6
 
0.6%
126.8472386379 6
 
0.6%
127.0008320557 5
 
0.5%
126.8292991215 5
 
0.5%
127.0812686258 5
 
0.5%
127.2580056577 5
 
0.5%
Other values (611) 843
80.7%
(Missing) 135
 
12.9%
ValueCountFrequency (%)
126.5387555466 1
 
0.1%
126.5388332947 2
0.2%
126.5466724 1
 
0.1%
126.5549302051 1
 
0.1%
126.5585582713 2
0.2%
126.5608575967 1
 
0.1%
126.5622637747 3
0.3%
126.5646394391 2
0.2%
126.5677000637 2
0.2%
126.5719353146 1
 
0.1%
ValueCountFrequency (%)
128.3775527 1
 
0.1%
127.6298276855 3
0.3%
127.6177112 1
 
0.1%
127.5585389436 1
 
0.1%
127.5211765185 1
 
0.1%
127.5210369 1
 
0.1%
127.5165614 1
 
0.1%
127.5123825 1
 
0.1%
127.4946111144 4
0.4%
127.4934279 1
 
0.1%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1044
Missing (%)100.0%
Memory size9.3 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct548
Distinct (%)70.0%
Missing261
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean196805.61
Minimum160078.62
Maximum255846.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-12-11T06:45:32.665768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum160078.62
5-th percentile174164.57
Q1182926.29
median197122.19
Q3208894.42
95-th percentile224253.2
Maximum255846.04
Range95767.425
Interquartile range (IQR)25968.129

Descriptive statistics

Standard deviation17090.808
Coefficient of variation (CV)0.086841064
Kurtosis0.14848578
Mean196805.61
Median Absolute Deviation (MAD)12725.527
Skewness0.48245607
Sum1.5409879 × 108
Variance2.9209572 × 108
MonotonicityNot monotonic
2023-12-11T06:45:33.016196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
197482.0 8
 
0.8%
205798.576914775 7
 
0.7%
190627.702724502 7
 
0.7%
217137.519410187 6
 
0.6%
183118.787318973 6
 
0.6%
184799.156746134 6
 
0.6%
197536.460660019 5
 
0.5%
197069.82356942 5
 
0.5%
174164.574435626 5
 
0.5%
179350.46544176 5
 
0.5%
Other values (538) 723
69.3%
(Missing) 261
 
25.0%
ValueCountFrequency (%)
160078.616779463 1
0.1%
160669.402905584 1
0.1%
161346.986707785 2
0.2%
161410.852454357 1
0.1%
162354.732678534 1
0.1%
162592.750207695 1
0.1%
162969.376667655 1
0.1%
162996.264399138 2
0.2%
163045.706025 1
0.1%
163279.012864737 1
0.1%
ValueCountFrequency (%)
255846.041759 1
 
0.1%
255794.578025454 2
0.2%
249071.366284218 1
 
0.1%
246014.292908603 2
0.2%
245715.847463058 1
 
0.1%
245044.446680318 1
 
0.1%
243882.337611165 3
0.3%
243882.206980668 1
 
0.1%
243789.610614816 1
 
0.1%
240164.164018399 1
 
0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct548
Distinct (%)70.0%
Missing261
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean432341.45
Minimum381157.84
Maximum501941.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-12-11T06:45:33.147118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum381157.84
5-th percentile397890.06
Q1420153.44
median428538.87
Q3443116.3
95-th percentile473853.17
Maximum501941.81
Range120783.97
Interquartile range (IQR)22962.861

Descriptive statistics

Standard deviation21921.332
Coefficient of variation (CV)0.050703747
Kurtosis0.22699964
Mean432341.45
Median Absolute Deviation (MAD)9524.2748
Skewness0.56736465
Sum3.3852336 × 108
Variance4.8054479 × 108
MonotonicityNot monotonic
2023-12-11T06:45:33.281076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
432178.0 8
 
0.8%
418776.397921083 7
 
0.7%
438063.149742824 7
 
0.7%
450158.241480494 6
 
0.6%
422300.007248888 6
 
0.6%
423500.780771631 6
 
0.6%
432133.905985364 5
 
0.5%
433267.205928793 5
 
0.5%
427622.312233102 5
 
0.5%
444748.060609523 5
 
0.5%
Other values (538) 723
69.3%
(Missing) 261
 
25.0%
ValueCountFrequency (%)
381157.842283474 1
0.1%
384439.0 1
0.1%
384722.0 1
0.1%
384724.937878149 1
0.1%
387201.614607471 2
0.2%
387262.0 1
0.1%
387336.869599508 1
0.1%
387648.360303789 1
0.1%
389216.202656633 2
0.2%
389466.017179519 1
0.1%
ValueCountFrequency (%)
501941.807904491 3
0.3%
500328.698087034 1
 
0.1%
488575.134539152 1
 
0.1%
488016.135587702 1
 
0.1%
486291.753928911 1
 
0.1%
485874.0 1
 
0.1%
485643.119386426 1
 
0.1%
485636.251395818 1
 
0.1%
485636.189987944 1
 
0.1%
483923.148031859 1
 
0.1%

실험실면적정보
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
0
650 
<NA>
384 
1
 
6
80
 
3
50
 
1

Length

Max length4
Median length1
Mean length2.1072797
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row0
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
0 650
62.3%
<NA> 384
36.8%
1 6
 
0.6%
80 3
 
0.3%
50 1
 
0.1%

Length

2023-12-11T06:45:33.395705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:45:33.485731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 650
62.3%
na 384
36.8%
1 6
 
0.6%
80 3
 
0.3%
50 1
 
0.1%

사업장구분명정보
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
환경전문공사업
1044 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
환경전문공사업 1044
100.0%

Length

2023-12-11T06:45:33.570353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:45:33.640085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
환경전문공사업 1044
100.0%

영업소면적
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)1.1%
Missing380
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean0.74414157
Minimum0
Maximum224.16
Zeros652
Zeros (%)62.5%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-12-11T06:45:33.705548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum224.16
Range224.16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.042303
Coefficient of variation (CV)13.495151
Kurtosis381.63702
Mean0.74414157
Median Absolute Deviation (MAD)0
Skewness18.340022
Sum494.11
Variance100.84784
MonotonicityNot monotonic
2023-12-11T06:45:33.782716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 652
62.5%
1.0 6
 
0.6%
76.0 2
 
0.2%
58.95 1
 
0.1%
224.16 1
 
0.1%
10.0 1
 
0.1%
43.0 1
 
0.1%
(Missing) 380
36.4%
ValueCountFrequency (%)
0.0 652
62.5%
1.0 6
 
0.6%
10.0 1
 
0.1%
43.0 1
 
0.1%
58.95 1
 
0.1%
76.0 2
 
0.2%
224.16 1
 
0.1%
ValueCountFrequency (%)
224.16 1
 
0.1%
76.0 2
 
0.2%
58.95 1
 
0.1%
43.0 1
 
0.1%
10.0 1
 
0.1%
1.0 6
 
0.6%
0.0 652
62.5%

실험실지역코드
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)51.5%
Missing947
Missing (%)90.7%
Infinite0
Infinite (%)0.0%
Mean4.0268473 × 109
Minimum1.1530102 × 109
Maximum4.182035 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-12-11T06:45:33.880266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1530102 × 109
5-th percentile4.1112729 × 109
Q14.1173102 × 109
median4.1273101 × 109
Q34.146125 × 109
95-th percentile4.1610259 × 109
Maximum4.182035 × 109
Range3.0290248 × 109
Interquartile range (IQR)28814827

Descriptive statistics

Standard deviation5.3232247 × 108
Coefficient of variation (CV)0.13219336
Kurtosis25.224754
Mean4.0268473 × 109
Median Absolute Deviation (MAD)13799400
Skewness-5.1052981
Sum3.9060419 × 1011
Variance2.8336721 × 1017
MonotonicityNot monotonic
2023-12-11T06:45:33.988205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4117310200 12
 
1.1%
4127310700 8
 
0.8%
4127310100 6
 
0.6%
4119010800 4
 
0.4%
4157034029 3
 
0.3%
4180025321 3
 
0.3%
4111710200 3
 
0.3%
4111312800 3
 
0.3%
4113310500 3
 
0.3%
4157025626 3
 
0.3%
Other values (40) 49
 
4.7%
(Missing) 947
90.7%
ValueCountFrequency (%)
1153010200 2
0.2%
1171010500 1
 
0.1%
2818510600 1
 
0.1%
4111113300 1
 
0.1%
4111312800 3
0.3%
4111313200 1
 
0.1%
4111313400 1
 
0.1%
4111710200 3
0.3%
4113110700 1
 
0.1%
4113310500 3
0.3%
ValueCountFrequency (%)
4182035021 1
 
0.1%
4180025321 3
0.3%
4161025936 2
0.2%
4159031022 1
 
0.1%
4159011600 2
0.2%
4157034030 2
0.2%
4157034029 3
0.3%
4157034025 1
 
0.1%
4157034022 1
 
0.1%
4157025626 3
0.3%

실험실우편번호
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)60.8%
Missing947
Missing (%)90.7%
Infinite0
Infinite (%)0.0%
Mean48774.928
Minimum5680
Maximum456030
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-12-11T06:45:34.099809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5680
5-th percentile10027
Q112918
median14117
Q316082
95-th percentile425809
Maximum456030
Range450350
Interquartile range (IQR)3164

Descriptive statistics

Standard deviation116898.96
Coefficient of variation (CV)2.3967019
Kurtosis7.7209397
Mean48774.928
Median Absolute Deviation (MAD)1714
Skewness3.0883258
Sum4731168
Variance1.3665368 × 1010
MonotonicityNot monotonic
2023-12-11T06:45:34.206570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15455 8
 
0.8%
13943 4
 
0.4%
14057 4
 
0.4%
14067 4
 
0.4%
14538 4
 
0.4%
10027 3
 
0.3%
11037 3
 
0.3%
16641 3
 
0.3%
10048 3
 
0.3%
16675 3
 
0.3%
Other values (49) 58
 
5.6%
(Missing) 947
90.7%
ValueCountFrequency (%)
5680 1
 
0.1%
8380 2
0.2%
10027 3
0.3%
10029 2
0.2%
10043 1
 
0.1%
10048 3
0.3%
10050 1
 
0.1%
11037 3
0.3%
11610 1
 
0.1%
11625 1
 
0.1%
ValueCountFrequency (%)
456030 1
0.1%
449815 1
0.1%
448548 1
0.1%
446908 1
0.1%
425809 2
0.2%
425802 1
0.1%
411802 1
0.1%
22014 1
0.1%
18392 2
0.2%
18289 1
0.1%

실험실산명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
<NA>
946 
0
 
89
1
 
9

Length

Max length4
Median length4
Mean length3.7183908
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 946
90.6%
0 89
 
8.5%
1 9
 
0.9%

Length

2023-12-11T06:45:34.307290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:45:34.392956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 946
90.6%
0 89
 
8.5%
1 9
 
0.9%

실험실번지
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)59.1%
Missing951
Missing (%)91.1%
Infinite0
Infinite (%)0.0%
Mean851.64516
Minimum13
Maximum6143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-12-11T06:45:34.479337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile67.8
Q1329
median729
Q3998
95-th percentile2043.2
Maximum6143
Range6130
Interquartile range (IQR)669

Descriptive statistics

Standard deviation829.89541
Coefficient of variation (CV)0.97446148
Kurtosis17.969968
Mean851.64516
Median Absolute Deviation (MAD)305
Skewness3.4417342
Sum79203
Variance688726.38
MonotonicityNot monotonic
2023-12-11T06:45:34.586536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
742 8
 
0.8%
1505 4
 
0.4%
1591 4
 
0.4%
1034 4
 
0.4%
329 3
 
0.3%
254 3
 
0.3%
883 3
 
0.3%
681 3
 
0.3%
729 3
 
0.3%
554 3
 
0.3%
Other values (45) 55
 
5.3%
(Missing) 951
91.1%
ValueCountFrequency (%)
13 1
0.1%
20 1
0.1%
45 2
0.2%
54 1
0.1%
77 2
0.2%
126 1
0.1%
127 1
0.1%
148 1
0.1%
190 1
0.1%
197 2
0.2%
ValueCountFrequency (%)
6143 1
 
0.1%
3045 1
 
0.1%
2979 2
0.2%
2210 1
 
0.1%
1932 1
 
0.1%
1802 1
 
0.1%
1591 4
0.4%
1505 4
0.4%
1281 2
0.2%
1109 1
 
0.1%

실험실호정보
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)22.6%
Missing951
Missing (%)91.1%
Infinite0
Infinite (%)0.0%
Mean12.172043
Minimum0
Maximum277
Zeros26
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-12-11T06:45:34.685813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q39
95-th percentile43.4
Maximum277
Range277
Interquartile range (IQR)9

Descriptive statistics

Standard deviation32.701091
Coefficient of variation (CV)2.6865738
Kurtosis48.102287
Mean12.172043
Median Absolute Deviation (MAD)2
Skewness6.3498789
Sum1132
Variance1069.3614
MonotonicityNot monotonic
2023-12-11T06:45:34.776878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 26
 
2.5%
2 13
 
1.2%
1 13
 
1.2%
9 7
 
0.7%
5 5
 
0.5%
29 4
 
0.4%
6 3
 
0.3%
17 3
 
0.3%
12 2
 
0.2%
23 2
 
0.2%
Other values (11) 15
 
1.4%
(Missing) 951
91.1%
ValueCountFrequency (%)
0 26
2.5%
1 13
1.2%
2 13
1.2%
4 1
 
0.1%
5 5
 
0.5%
6 3
 
0.3%
7 2
 
0.2%
9 7
 
0.7%
11 2
 
0.2%
12 2
 
0.2%
ValueCountFrequency (%)
277 1
 
0.1%
113 1
 
0.1%
67 2
0.2%
59 1
 
0.1%
33 1
 
0.1%
32 1
 
0.1%
29 4
0.4%
23 2
0.2%
22 2
0.2%
18 1
 
0.1%

실험실통정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1044
Missing (%)100.0%
Memory size9.3 KiB

실험실반정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1044
Missing (%)100.0%
Memory size9.3 KiB

실험실특수주소
Text

MISSING 

Distinct39
Distinct (%)59.1%
Missing978
Missing (%)93.7%
Memory size8.3 KiB
2023-12-11T06:45:34.962544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length7.7424242
Min length3

Characters and Unicode

Total characters511
Distinct characters149
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

Unique25 ?
Unique (%)37.9%

Sample

1st row에이스테크노타워5차
2nd row베올리아워터트레이닝센터
3rd row에이스테크노타워5차
4th row(주)혜성환경
5th row삼성전자디지털센터
ValueCountFrequency (%)
키즈타워2 7
 
9.6%
씨티오피스 4
 
5.5%
신한데뷰오피스텔 4
 
5.5%
에이스평촌타워 3
 
4.1%
영통이노플렉스-2단지 3
 
4.1%
경기창조산업안양센터 3
 
4.1%
영진환경산업(주 3
 
4.1%
윈윈프라자 2
 
2.7%
주)휴비스워터 2
 
2.7%
슈마프라자 2
 
2.7%
Other values (36) 40
54.8%
2023-12-11T06:45:35.263717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 21
 
4.1%
워 18
 
3.5%
2 17
 
3.3%
타 16
 
3.1%
이 11
 
2.2%
자 10
 
2.0%
터 10
 
2.0%
오 10
 
2.0%
산 9
 
1.8%
프 9
 
1.8%
Other values (139) 380
74.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 417
81.6%
Decimal Number 46
 
9.0%
Uppercase Letter 16
 
3.1%
Dash Punctuation 8
 
1.6%
Space Separator 7
 
1.4%
Close Punctuation 6
 
1.2%
Open Punctuation 6
 
1.2%
Other Punctuation 4
 
0.8%
Lowercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 21
 
5.0%
워 18
 
4.3%
타 16
 
3.8%
이 11
 
2.6%
자 10
 
2.4%
터 10
 
2.4%
오 10
 
2.4%
산 9
 
2.2%
프 9
 
2.2%
키 8
 
1.9%
Other values (111) 295
70.7%
Uppercase Letter
ValueCountFrequency (%)
A 2
12.5%
S 2
12.5%
T 2
12.5%
E 2
12.5%
L 2
12.5%
C 1
6.2%
F 1
6.2%
I 1
6.2%
D 1
6.2%
K 1
6.2%
Decimal Number
ValueCountFrequency (%)
2 17
37.0%
1 7
15.2%
0 6
 
13.0%
3 4
 
8.7%
5 4
 
8.7%
4 3
 
6.5%
6 2
 
4.3%
9 1
 
2.2%
7 1
 
2.2%
8 1
 
2.2%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
, 2
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 417
81.6%
Common 77
 
15.1%
Latin 17
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 21
 
5.0%
워 18
 
4.3%
타 16
 
3.8%
이 11
 
2.6%
자 10
 
2.4%
터 10
 
2.4%
오 10
 
2.4%
산 9
 
2.2%
프 9
 
2.2%
키 8
 
1.9%
Other values (111) 295
70.7%
Common
ValueCountFrequency (%)
2 17
22.1%
- 8
10.4%
7
9.1%
1 7
9.1%
0 6
 
7.8%
) 6
 
7.8%
( 6
 
7.8%
3 4
 
5.2%
5 4
 
5.2%
4 3
 
3.9%
Other values (6) 9
11.7%
Latin
ValueCountFrequency (%)
A 2
11.8%
S 2
11.8%
T 2
11.8%
E 2
11.8%
L 2
11.8%
C 1
5.9%
F 1
5.9%
I 1
5.9%
D 1
5.9%
K 1
5.9%
Other values (2) 2
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 417
81.6%
ASCII 94
 
18.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 21
 
5.0%
워 18
 
4.3%
타 16
 
3.8%
이 11
 
2.6%
자 10
 
2.4%
터 10
 
2.4%
오 10
 
2.4%
산 9
 
2.2%
프 9
 
2.2%
키 8
 
1.9%
Other values (111) 295
70.7%
ASCII
ValueCountFrequency (%)
2 17
18.1%
- 8
 
8.5%
7
 
7.4%
1 7
 
7.4%
0 6
 
6.4%
) 6
 
6.4%
( 6
 
6.4%
3 4
 
4.3%
5 4
 
4.3%
4 3
 
3.2%
Other values (18) 26
27.7%

실험실특수동주소
Text

MISSING 

Distinct5
Distinct (%)62.5%
Missing1036
Missing (%)99.2%
Memory size8.3 KiB
2023-12-11T06:45:35.364980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length1
Mean length1.25
Min length1

Characters and Unicode

Total characters10
Distinct characters7
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

Unique3 ?
Unique (%)37.5%

Sample

1st row나
2nd row나
3rd row3
4th row3
5th row3
ValueCountFrequency (%)
3 3
37.5%
나 2
25.0%
가 1
 
12.5%
비 1
 
12.5%
녹양동 1
 
12.5%
2023-12-11T06:45:35.596680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 3
30.0%
나 2
20.0%
가 1
 
10.0%
비 1
 
10.0%
녹 1
 
10.0%
양 1
 
10.0%
동 1
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
70.0%
Decimal Number 3
30.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
나 2
28.6%
가 1
14.3%
비 1
14.3%
녹 1
14.3%
양 1
14.3%
동 1
14.3%
Decimal Number
ValueCountFrequency (%)
3 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
70.0%
Common 3
30.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
나 2
28.6%
가 1
14.3%
비 1
14.3%
녹 1
14.3%
양 1
14.3%
동 1
14.3%
Common
ValueCountFrequency (%)
3 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
70.0%
ASCII 3
30.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 3
100.0%
Hangul
ValueCountFrequency (%)
나 2
28.6%
가 1
14.3%
비 1
14.3%
녹 1
14.3%
양 1
14.3%
동 1
14.3%

실험실특수호주소
Text

MISSING 

Distinct21
Distinct (%)60.0%
Missing1009
Missing (%)96.6%
Memory size8.3 KiB
2023-12-11T06:45:35.737469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.3714286
Min length1

Characters and Unicode

Total characters118
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)37.1%

Sample

1st row209
2nd row1
3rd row209
4th row1
5th row206
ValueCountFrequency (%)
401 5
14.3%
606 4
 
11.4%
505~6 3
 
8.6%
1 2
 
5.7%
415 2
 
5.7%
209 2
 
5.7%
1201 2
 
5.7%
834 2
 
5.7%
307 1
 
2.9%
517 1
 
2.9%
Other values (11) 11
31.4%
2023-12-11T06:45:35.995023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 28
23.7%
1 21
17.8%
6 14
11.9%
4 12
10.2%
5 12
10.2%
2 10
 
8.5%
3 5
 
4.2%
9 4
 
3.4%
7 4
 
3.4%
~ 3
 
2.5%
Other values (3) 5
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 113
95.8%
Math Symbol 3
 
2.5%
Dash Punctuation 1
 
0.8%
Other Punctuation 1
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 28
24.8%
1 21
18.6%
6 14
12.4%
4 12
10.6%
5 12
10.6%
2 10
 
8.8%
3 5
 
4.4%
9 4
 
3.5%
7 4
 
3.5%
8 3
 
2.7%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 118
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 28
23.7%
1 21
17.8%
6 14
11.9%
4 12
10.2%
5 12
10.2%
2 10
 
8.5%
3 5
 
4.2%
9 4
 
3.4%
7 4
 
3.4%
~ 3
 
2.5%
Other values (3) 5
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 118
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 28
23.7%
1 21
17.8%
6 14
11.9%
4 12
10.2%
5 12
10.2%
2 10
 
8.5%
3 5
 
4.2%
9 4
 
3.4%
7 4
 
3.4%
~ 3
 
2.5%
Other values (3) 5
 
4.2%

실험실도로명주소읍면동정보
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)51.9%
Missing940
Missing (%)90.0%
Infinite0
Infinite (%)0.0%
Mean4.033669 × 109
Minimum1.1530102 × 109
Maximum4.182035 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-12-11T06:45:36.114035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1530102 × 109
5-th percentile4.1113128 × 109
Q14.1150108 × 109
median4.1273101 × 109
Q34.1461106 × 109
95-th percentile4.1610259 × 109
Maximum4.182035 × 109
Range3.0290248 × 109
Interquartile range (IQR)31099750

Descriptive statistics

Standard deviation5.1457211 × 108
Coefficient of variation (CV)0.12756925
Kurtosis27.304763
Mean4.033669 × 109
Median Absolute Deviation (MAD)13799500
Skewness-5.3004511
Sum4.1950157 × 1011
Variance2.6478446 × 1017
MonotonicityNot monotonic
2023-12-11T06:45:36.245708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4117310200 12
 
1.1%
4127310700 8
 
0.8%
4113310500 5
 
0.5%
4127310100 5
 
0.5%
4119010800 4
 
0.4%
4111710200 3
 
0.3%
4157025626 3
 
0.3%
4111312800 3
 
0.3%
4139013200 3
 
0.3%
4113510600 3
 
0.3%
Other values (44) 55
 
5.3%
(Missing) 940
90.0%
ValueCountFrequency (%)
1153010200 2
 
0.2%
1171010500 1
 
0.1%
2818510600 1
 
0.1%
4111113300 1
 
0.1%
4111312800 3
0.3%
4111313200 1
 
0.1%
4111313400 1
 
0.1%
4111710200 3
0.3%
4113110700 1
 
0.1%
4113310500 5
0.5%
ValueCountFrequency (%)
4182035021 1
 
0.1%
4180025321 3
0.3%
4163011000 1
 
0.1%
4161025936 2
0.2%
4159031022 1
 
0.1%
4159011600 2
0.2%
4157034030 2
0.2%
4157034029 3
0.3%
4157034025 1
 
0.1%
4157034022 1
 
0.1%

실험실도로명주소읍면동명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
<NA>
940 
1
 
86
0
 
18

Length

Max length4
Median length4
Mean length3.7011494
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row1
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 940
90.0%
1 86
 
8.2%
0 18
 
1.7%

Length

2023-12-11T06:45:36.358282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:45:36.443811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 940
90.0%
1 86
 
8.2%
0 18
 
1.7%

실험실도로명주소정보
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)60.6%
Missing940
Missing (%)90.0%
Infinite0
Infinite (%)0.0%
Mean3499768.3
Minimum2000018
Maximum4854101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-12-11T06:45:36.579861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000018
5-th percentile2182002
Q13178761
median3201544.5
Q34340120
95-th percentile4430562
Maximum4854101
Range2854083
Interquartile range (IQR)1161359

Descriptive statistics

Standard deviation682861.85
Coefficient of variation (CV)0.1951163
Kurtosis-0.82950392
Mean3499768.3
Median Absolute Deviation (MAD)189534.5
Skewness0.15270245
Sum3.639759 × 108
Variance4.6630031 × 1011
MonotonicityNot monotonic
2023-12-11T06:45:36.707923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3191064 8
 
0.8%
3190012 5
 
0.5%
3012010 4
 
0.4%
2182002 4
 
0.4%
3000065 4
 
0.4%
4427155 3
 
0.3%
3215038 3
 
0.3%
4349148 3
 
0.3%
3012003 3
 
0.3%
4340120 3
 
0.3%
Other values (53) 64
 
6.1%
(Missing) 940
90.0%
ValueCountFrequency (%)
2000018 1
 
0.1%
2179001 2
0.2%
2182002 4
0.4%
3000065 4
0.4%
3000120 1
 
0.1%
3012003 3
0.3%
3012005 1
 
0.1%
3012010 4
0.4%
3012061 1
 
0.1%
3152032 1
 
0.1%
ValueCountFrequency (%)
4854101 1
 
0.1%
4448303 1
 
0.1%
4436121 1
 
0.1%
4433227 2
0.2%
4430562 2
0.2%
4427611 1
 
0.1%
4427155 3
0.3%
4409034 2
0.2%
4406066 1
 
0.1%
4403064 1
 
0.1%

실험실도로명특수주소
Text

MISSING 

Distinct38
Distinct (%)57.6%
Missing978
Missing (%)93.7%
Memory size8.3 KiB
2023-12-11T06:45:36.906718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length7.2272727
Min length3

Characters and Unicode

Total characters477
Distinct characters143
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

Unique24 ?
Unique (%)36.4%

Sample

1st row에이스테크노타워5차
2nd row베올리아워터트레이닝센터
3rd row에이스테크노타워5차
4th row(주)혜성환경
5th row굿프라임빌딩
ValueCountFrequency (%)
키즈타워2 7
 
10.6%
신한데뷰오피스텔 4
 
6.1%
씨티오피스 4
 
6.1%
에이스평촌타워 3
 
4.5%
메카텍빌딩 3
 
4.5%
영통이노플렉스-2단지 3
 
4.5%
영진환경산업(주 3
 
4.5%
경기창조산업안양센터 3
 
4.5%
에이스테크노타워5차 2
 
3.0%
슈마프라자 2
 
3.0%
Other values (28) 32
48.5%
2023-12-11T06:45:37.191347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 22
 
4.6%
워 18
 
3.8%
타 16
 
3.4%
이 12
 
2.5%
2 12
 
2.5%
터 11
 
2.3%
오 10
 
2.1%
산 10
 
2.1%
프 9
 
1.9%
자 9
 
1.9%
Other values (133) 348
73.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 425
89.1%
Uppercase Letter 16
 
3.4%
Decimal Number 15
 
3.1%
Close Punctuation 6
 
1.3%
Open Punctuation 6
 
1.3%
Dash Punctuation 5
 
1.0%
Other Punctuation 2
 
0.4%
Lowercase Letter 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 22
 
5.2%
워 18
 
4.2%
타 16
 
3.8%
이 12
 
2.8%
터 11
 
2.6%
오 10
 
2.4%
산 10
 
2.4%
프 9
 
2.1%
자 9
 
2.1%
지 8
 
1.9%
Other values (113) 300
70.6%
Uppercase Letter
ValueCountFrequency (%)
T 2
12.5%
S 2
12.5%
E 2
12.5%
L 2
12.5%
A 2
12.5%
C 1
6.2%
F 1
6.2%
D 1
6.2%
N 1
6.2%
I 1
6.2%
Decimal Number
ValueCountFrequency (%)
2 12
80.0%
5 2
 
13.3%
4 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
n 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 425
89.1%
Common 34
 
7.1%
Latin 18
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 22
 
5.2%
워 18
 
4.2%
타 16
 
3.8%
이 12
 
2.8%
터 11
 
2.6%
오 10
 
2.4%
산 10
 
2.4%
프 9
 
2.1%
자 9
 
2.1%
지 8
 
1.9%
Other values (113) 300
70.6%
Latin
ValueCountFrequency (%)
T 2
11.1%
S 2
11.1%
E 2
11.1%
L 2
11.1%
A 2
11.1%
e 1
 
5.6%
C 1
 
5.6%
F 1
 
5.6%
D 1
 
5.6%
N 1
 
5.6%
Other values (3) 3
16.7%
Common
ValueCountFrequency (%)
2 12
35.3%
) 6
17.6%
( 6
17.6%
- 5
14.7%
. 2
 
5.9%
5 2
 
5.9%
4 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 425
89.1%
ASCII 52
 
10.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 22
 
5.2%
워 18
 
4.2%
타 16
 
3.8%
이 12
 
2.8%
터 11
 
2.6%
오 10
 
2.4%
산 10
 
2.4%
프 9
 
2.1%
자 9
 
2.1%
지 8
 
1.9%
Other values (113) 300
70.6%
ASCII
ValueCountFrequency (%)
2 12
23.1%
) 6
11.5%
( 6
11.5%
- 5
9.6%
. 2
 
3.8%
T 2
 
3.8%
S 2
 
3.8%
E 2
 
3.8%
L 2
 
3.8%
A 2
 
3.8%
Other values (10) 11
21.2%

실험실도로명주소건물층구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
<NA>
940 
0
104 

Length

Max length4
Median length4
Mean length3.7011494
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 940
90.0%
0 104
 
10.0%

Length

2023-12-11T06:45:37.311834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:45:37.395078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 940
90.0%
0 104
 
10.0%

실험실도로명주소건물본번호
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)54.8%
Missing940
Missing (%)90.0%
Infinite0
Infinite (%)0.0%
Mean191.18269
Minimum11
Maximum2372
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-12-11T06:45:37.491963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile13
Q125
median64
Q3221
95-th percentile634
Maximum2372
Range2361
Interquartile range (IQR)196

Descriptive statistics

Standard deviation347.97142
Coefficient of variation (CV)1.820099
Kurtosis22.581291
Mean191.18269
Median Absolute Deviation (MAD)47.5
Skewness4.3537239
Sum19883
Variance121084.11
MonotonicityNot monotonic
2023-12-11T06:45:37.607740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64 8
 
0.8%
20 8
 
0.8%
25 5
 
0.5%
221 4
 
0.4%
11 4
 
0.4%
304 3
 
0.3%
361 3
 
0.3%
260 3
 
0.3%
191 3
 
0.3%
78 3
 
0.3%
Other values (47) 60
 
5.7%
(Missing) 940
90.0%
ValueCountFrequency (%)
11 4
0.4%
12 1
 
0.1%
13 2
 
0.2%
15 1
 
0.1%
16 2
 
0.2%
17 1
 
0.1%
18 3
 
0.3%
20 8
0.8%
21 1
 
0.1%
24 2
 
0.2%
ValueCountFrequency (%)
2372 1
 
0.1%
2066 1
 
0.1%
1260 1
 
0.1%
723 1
 
0.1%
634 3
0.3%
569 1
 
0.1%
545 2
0.2%
415 1
 
0.1%
361 3
0.3%
325 1
 
0.1%

실험실도로명주소건물부번호
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)13.2%
Missing953
Missing (%)91.3%
Infinite0
Infinite (%)0.0%
Mean2.5274725
Minimum0
Maximum42
Zeros78
Zeros (%)7.5%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-12-11T06:45:37.707700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile21
Maximum42
Range42
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.8815405
Coefficient of variation (CV)3.1183486
Kurtosis12.391557
Mean2.5274725
Median Absolute Deviation (MAD)0
Skewness3.5201461
Sum230
Variance62.118681
MonotonicityNot monotonic
2023-12-11T06:45:37.795750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 78
 
7.5%
21 3
 
0.3%
37 1
 
0.1%
6 1
 
0.1%
5 1
 
0.1%
42 1
 
0.1%
12 1
 
0.1%
2 1
 
0.1%
1 1
 
0.1%
32 1
 
0.1%
Other values (2) 2
 
0.2%
(Missing) 953
91.3%
ValueCountFrequency (%)
0 78
7.5%
1 1
 
0.1%
2 1
 
0.1%
5 1
 
0.1%
6 1
 
0.1%
11 1
 
0.1%
12 1
 
0.1%
19 1
 
0.1%
21 3
 
0.3%
32 1
 
0.1%
ValueCountFrequency (%)
42 1
 
0.1%
37 1
 
0.1%
32 1
 
0.1%
21 3
0.3%
19 1
 
0.1%
12 1
 
0.1%
11 1
 
0.1%
6 1
 
0.1%
5 1
 
0.1%
2 1
 
0.1%

실험실도로명주소우편번호
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)60.6%
Missing940
Missing (%)90.0%
Infinite0
Infinite (%)0.0%
Mean43014.74
Minimum5680
Maximum482060
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-12-11T06:45:37.903864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5680
5-th percentile10027.3
Q112994.5
median14083.5
Q316048.25
95-th percentile423559.45
Maximum482060
Range476380
Interquartile range (IQR)3053.75

Descriptive statistics

Standard deviation108902.56
Coefficient of variation (CV)2.5317498
Kurtosis10.673994
Mean43014.74
Median Absolute Deviation (MAD)1377.5
Skewness3.5220503
Sum4473533
Variance1.1859768 × 1010
MonotonicityNot monotonic
2023-12-11T06:45:38.297124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15455 8
 
0.8%
14057 4
 
0.4%
13943 4
 
0.4%
14538 4
 
0.4%
14067 4
 
0.4%
13569 3
 
0.3%
16641 3
 
0.3%
11037 3
 
0.3%
10027 3
 
0.3%
10048 3
 
0.3%
Other values (53) 65
 
6.2%
(Missing) 940
90.0%
ValueCountFrequency (%)
5680 1
 
0.1%
8380 2
0.2%
10027 3
0.3%
10029 2
0.2%
10043 1
 
0.1%
10048 3
0.3%
10050 1
 
0.1%
10860 1
 
0.1%
11037 3
0.3%
11610 1
 
0.1%
ValueCountFrequency (%)
482060 1
0.1%
472140 1
0.1%
456030 1
0.1%
446982 1
0.1%
425809 2
0.2%
410812 1
0.1%
22014 1
0.1%
18392 2
0.2%
18289 1
0.1%
17766 1
0.1%

실험실도로명시군구정보
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)31.7%
Missing940
Missing (%)90.0%
Infinite0
Infinite (%)0.0%
Mean40336.548
Minimum11530
Maximum41820
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-12-11T06:45:38.444436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11530
5-th percentile41113
Q141150
median41273
Q341461
95-th percentile41610
Maximum41820
Range30290
Interquartile range (IQR)311

Descriptive statistics

Standard deviation5145.7118
Coefficient of variation (CV)0.12756946
Kurtosis27.304818
Mean40336.548
Median Absolute Deviation (MAD)138
Skewness-5.3004584
Sum4195001
Variance26478350
MonotonicityNot monotonic
2023-12-11T06:45:38.548389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
41173 15
 
1.4%
41273 13
 
1.2%
41570 10
 
1.0%
41133 5
 
0.5%
41135 5
 
0.5%
41190 5
 
0.5%
41390 5
 
0.5%
41113 5
 
0.5%
41590 3
 
0.3%
41150 3
 
0.3%
Other values (23) 35
 
3.4%
(Missing) 940
90.0%
ValueCountFrequency (%)
11530 2
 
0.2%
11710 1
 
0.1%
28185 1
 
0.1%
41111 1
 
0.1%
41113 5
0.5%
41117 3
0.3%
41131 1
 
0.1%
41133 5
0.5%
41135 5
0.5%
41150 3
0.3%
ValueCountFrequency (%)
41820 1
 
0.1%
41800 3
 
0.3%
41630 1
 
0.1%
41610 2
 
0.2%
41590 3
 
0.3%
41570 10
1.0%
41550 2
 
0.2%
41480 1
 
0.1%
41463 2
 
0.2%
41461 2
 
0.2%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값실험실면적정보사업장구분명정보영업소면적실험실지역코드실험실우편번호실험실산명실험실번지실험실호정보실험실통정보실험실반정보실험실특수주소실험실특수동주소실험실특수호주소실험실도로명주소읍면동정보실험실도로명주소읍면동명실험실도로명주소정보실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호실험실도로명시군구정보
0가평군(주)일진환경건설20100730<NA>N신규<NA><NA><NA><NA>경기도 가평군 가평읍 연인2길 13-15경기도 가평군 가평읍 읍내1리 468번지 34호47780537.829348127.512383<NA>245044.44668480883.575525<NA>환경전문공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1가평군(주)청명2023-10-11<NA>N신규<NA><NA><NA>12403경기도 가평군 북면 화악산로124번길 11경기도 가평군 북면 목동리 699-331240337.893272127.558539<NA>249071.366284488016.1355880환경전문공사업0.0418203502112403069933<NA><NA><NA><NA><NA>418203502104448303<NA>01101240341820
2고양시스톰코리아(주)20220930<NA>N신규<NA><NA><NA>10447경기도 고양시 일산동구 중앙로 1079, 백석역더리브스타일 615호(백석동)경기도 고양시 일산동구 백석동 1335번지 백석역더리브스타일 615호1044737.645046126.784557<NA>180931.0460343.00환경전문공사업0.011530102008380019722<NA><NA>에이스테크노타워5차<NA>209115301020014148335에이스테크노타워5차0200838011530
3고양시(주)국제이엔씨20070626<NA>N신규<NA><NA><NA><NA>경기도 고양시 일산서구 고봉로 319 (일산동)경기도 고양시일산서구 일산1동 574번지41182337.687657126.776988<NA>180264.615711465059.147886<NA>환경전문공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4고양시(주)지렉트코퍼레이션20170808<NA>N신규<NA><NA><NA>10526경기도 고양시 덕양구 충장로 22 (행신동)경기도 고양시 덕양구 행신동 761-3번지1052637.614721126.834428<NA>185301.0456957.0<NA>환경전문공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5고양시(주)신환이엔씨2022-12-28<NA>N신규<NA><NA><NA>10403경기도 고양시 일산동구 백마로 195, 9002호 (장항동,엠시티오피스)경기도 고양시 일산동구 장항동 869번지 엠시티오피스 9002호1040337.654292126.770977<NA>179708.826286461404.8039490환경전문공사업76.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6고양시(주)동호이엔씨20080313<NA>N신규<NA><NA><NA><NA>경기도 고양시 일산동구 정발산로 31-10 (장항동)경기도 고양시일산구 장항동 856번지 2호41038037.657295126.772377<NA>179849.580667461692.597743<NA>환경전문공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7고양시(주)새롬환경기술2023-05-11<NA>N신규<NA><NA><NA>10442경기도 고양시 일산동구 일산로 138, 일산테크노타운 504호(백석동)경기도 고양시 일산동구 백석동 1141-1 일산테크노타운 504호1044237.650111126.795016<NA>181835.358339460894.7423440환경전문공사업0.028185106002201401332<NA><NA>베올리아워터트레이닝센터<NA>1281851060013152032베올리아워터트레이닝센터027702201428185
8고양시(주)신환이엔씨20160128<NA>N신규<NA><NA><NA>10403경기도 고양시 일산동구 백마로 195, 9002호 (장항동,엠시티오피스)경기도 고양시 일산동구 장항동 869번지 엠시티오피스 9002호1040337.654715126.770798<NA>179792.0461309.0<NA>환경전문공사업76.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9고양시(주)티에스케이워터20110324<NA>N신규<NA><NA><NA>410838경기도 고양시 일산동구 정발산로 24 (장항동)경기도 고양시일산구 장항2동 868번지41083737.654682126.7726<NA>179867.687197461402.02302<NA>환경전문공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값실험실면적정보사업장구분명정보영업소면적실험실지역코드실험실우편번호실험실산명실험실번지실험실호정보실험실통정보실험실반정보실험실특수주소실험실특수동주소실험실특수호주소실험실도로명주소읍면동정보실험실도로명주소읍면동명실험실도로명주소정보실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호실험실도로명시군구정보
1034화성시(주)동진씨앤지20210310<NA>N신규<NA><NA><NA>18468경기도 화성시 동탄순환대로 830, 동탄SKV1center 1103호 (영천동)경기도 화성시 영천동 397번지 동탄SKV1center 1103호1846837.209993127.097074<NA><NA><NA><NA>환경전문공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1035화성시삼중프랜트(주)20200303<NA>N신규<NA><NA><NA>18574경기도 화성시 장안면 무봉길 166-77경기도 화성시 장안면 석포리 556-151857437.133473126.828771<NA>184760.0403549.0<NA>환경전문공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1036화성시(주)에이치케이이엔씨20210217<NA>N신규<NA><NA><NA><NA>경기도 화성시 팔탄면 하저자안로 97-1경기도 화성시 팔탄면 하저리 546-31853537.187604126.871771<NA><NA><NA><NA>환경전문공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1037화성시㈜다온환경엔지니어링20210818<NA>N신규<NA><NA><NA>18255경기도 화성시 남양읍 주석로***번길 **, *동경기도 화성시 남양읍 북양리 ***-** *동18255<NA><NA><NA>186474.318041412803.0255720환경전문공사업0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1038화성시에이치씨엠(주)20220311<NA>N신규<NA><NA><NA>18380경기도 화성시 삼성*로 ***-* (반월동)경기도 화성시 반월동 ***번지18380<NA><NA><NA>206109.357217414800.6494650환경전문공사업0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1039화성시대명엔텍(주)20220428<NA>N신규<NA><NA><NA>18274경기도 화성시 남양읍 현대기아로 494, 1동 A호경기도 화성시 남양읍 무송리 180-2 1동 A호1827437.193466126.847239<NA>186386.0410222.00환경전문공사업0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1040화성시(주)동양공조20220114<NA>N신규<NA><NA><NA><NA>경기도 화성시 팔탄면 구장길 **경기도 화성시 팔탄면 구장리 ***번지<NA><NA><NA><NA><NA><NA>0환경전문공사업0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1041화성시(주)이피엠20220607<NA>N신규<NA><NA><NA>18583경기도 화성시 장안면 삼수문길 36-7경기도 화성시 장안면 독정리 473-91858337.070569126.857304<NA>187207.431176396527.1883940환경전문공사업0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1042화성시(주)효광이앤씨20220930<NA>N신규<NA><NA><NA>18583경기도 화성시 장안면 수정로 189경기도 화성시 장안면 독정리 115-91858337.082485126.860556<NA>187534.789193397885.5373180환경전문공사업0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1043<NA>(주)그린훼미리20070622<NA>N신규<NA><NA><NA><NA><NA>경상남도 통영시 당동 54블럭 1롯트65012034.85359128.377553<NA><NA><NA><NA>환경전문공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

시군명사업장명인허가일자영업상태구분코드영업상태명폐업일자도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도X좌표값Y좌표값실험실면적정보사업장구분명정보영업소면적실험실지역코드실험실우편번호실험실산명실험실번지실험실호정보실험실특수주소실험실특수동주소실험실특수호주소실험실도로명주소읍면동정보실험실도로명주소읍면동명실험실도로명주소정보실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호실험실도로명시군구정보# duplicates
0남양주시신우환경엔지니어링(주)20080625Q폐업<NA><NA>경기도 남양주시 별내면 청학로**번길 *, ***호 (양지빌딩)경기도 남양주시 별내면 청학리 ***번지 *호 양지빌딩 ***호472811<NA><NA>210446.548868467298.5774790환경전문공사업0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2
1부천시(주)현보산업2023-08-19N신규<NA><NA>경기도 부천시 석천로442번길 53(삼정동)경기도 부천시 삼정동 48-1821444637.52773126.771577<NA><NA>0환경전문공사업0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2
2부천시(주)현보산업2023-09-18N신규<NA><NA>경기도 부천시 석천로442번길 53(삼정동)경기도 부천시 삼정동 48-1821444637.52773126.771577<NA><NA>0환경전문공사업0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2
3부천시(주)현보산업2023-10-26N신규<NA><NA>경기도 부천시 석천로442번길 53(삼정동)경기도 부천시 삼정동 48-1821444637.52773126.771577<NA><NA>0환경전문공사업0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2
4부천시㈜청명이엔텍2023-07-20N신규<NA>14531경기도 부천시 정주로 53, 703호 (약대동)경기도 부천시 약대동 177번지1453137.509192126.776328180154.188696445238.6439580환경전문공사업0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2
5수원시주식회사 이엠솔루션20221122N신규<NA>16226경기도 수원시 영통구 대학4로 17, 404호 (이의동)경기도 수원시 영통구 이의동 1248-3번지 404호1622637.300194127.046721204053.159882422057.6497470환경전문공사업0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2
6안산시(주)신성플랜트2023-10-05N신규<NA>425-906경기도 안산시 단원구 광덕1로 193, 501호 (고잔동,스카이프라자)경기도 안산시단원구 고잔동 775번지 1호 스카이프라자 501호425-02037.308195126.831195184965.105937422924.2443160환경전문공사업0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2
7안산시(주)유니온환경2023-07-07N신규<NA>15433경기도 안산시 단원구 산단로 296, 대우테크노피아아파트 612호 (원시동)경기도 안산시 단원구 원시동 768-1 대우테크노피아아파트 612호1543337.321818126.7884181174.405915424448.5698350환경전문공사업0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2
8안산시케이비엔텍㈜2023-08-23N신규<NA>15455경기도 안산시 단원구 원포공원1로 67, 비전타운 3층 301호(초지동)경기도 안산시 단원구 초지동 743-1 비전타운1545537.302532126.810381183118.787319422300.0072490환경전문공사업0.041273107001545507422키즈타워2<NA><NA>412731070013191064키즈타워2064015455412732
9안양시(주)건화2023-01-30N신규<NA>431-804경기도 안양시 동안구 흥안대로427번길 38 (관양동)경기도 안양시동안구 관양2동 954-6431-80437.392971126.972313197480.830606432318.2034180환경전문공사업0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2