Overview

Dataset statistics

Number of variables40
Number of observations612
Missing cells10132
Missing cells (%)41.4%
Duplicate rows30
Duplicate rows (%)4.9%
Total size in memory205.1 KiB
Average record size in memory343.2 B

Variable types

Categorical10
Text9
DateTime2
Unsupported4
Numeric15

Dataset

Description환경 측정대행업체 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=H13KY5LDAUZTVN410NY022100&infSeq=1

Alerts

Dataset has 30 (4.9%) duplicate rowsDuplicates
실험실특수동주소 is highly imbalanced (89.6%)Imbalance
실험실특수호주소 is highly imbalanced (78.4%)Imbalance
인허가취소일자 has 612 (100.0%) missing valuesMissing
폐업일자 has 576 (94.1%) missing valuesMissing
소재지시설전화번호 has 467 (76.3%) missing valuesMissing
소재지면적정보 has 612 (100.0%) missing valuesMissing
도로명우편번호 has 310 (50.7%) missing valuesMissing
소재지도로명주소 has 47 (7.7%) missing valuesMissing
소재지지번주소 has 48 (7.8%) missing valuesMissing
WGS84위도 has 48 (7.8%) missing valuesMissing
WGS84경도 has 48 (7.8%) missing valuesMissing
업태구분명정보 has 608 (99.3%) missing valuesMissing
X좌표값 has 306 (50.0%) missing valuesMissing
Y좌표값 has 306 (50.0%) missing valuesMissing
실험실면적정보 has 269 (44.0%) missing valuesMissing
실험실지역코드 has 351 (57.4%) missing valuesMissing
실험실우편번호 has 514 (84.0%) missing valuesMissing
실험실번지 has 352 (57.5%) missing valuesMissing
실험실호정보 has 422 (69.0%) missing valuesMissing
실험실통정보 has 612 (100.0%) missing valuesMissing
실험실반정보 has 612 (100.0%) missing valuesMissing
실험실특수주소 has 439 (71.7%) missing valuesMissing
실험실도로명주소읍면동정보 has 331 (54.1%) missing valuesMissing
실험실도로명주소정보 has 331 (54.1%) missing valuesMissing
실험실도로명특수주소 has 383 (62.6%) missing valuesMissing
실험실도로명주소건물본번호 has 331 (54.1%) missing valuesMissing
실험실도로명주소건물부번호 has 534 (87.3%) missing valuesMissing
실험실도로명주소우편번호 has 331 (54.1%) missing valuesMissing
실험실도로명시군구정보 has 331 (54.1%) missing valuesMissing
인허가취소일자 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
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
실험실면적정보 has 301 (49.2%) zerosZeros
실험실호정보 has 30 (4.9%) zerosZeros
실험실도로명주소건물부번호 has 53 (8.7%) zerosZeros

Reproduction

Analysis started2023-12-10 21:35:13.835707
Analysis finished2023-12-10 21:35:15.139699
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct28
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
안양시
80 
안산시
78 
군포시
57 
수원시
49 
의왕시
34 
Other values (23)
314 

Length

Max length4
Median length3
Mean length3.0718954
Min length3

Unique

Unique3 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
안양시 80
13.1%
안산시 78
12.7%
군포시 57
 
9.3%
수원시 49
 
8.0%
의왕시 34
 
5.6%
김포시 34
 
5.6%
성남시 33
 
5.4%
광명시 28
 
4.6%
의정부시 25
 
4.1%
용인시 24
 
3.9%
Other values (18) 170
27.8%

Length

2023-12-11T06:35:15.219790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안양시 80
13.1%
안산시 78
12.7%
군포시 57
 
9.3%
수원시 49
 
8.0%
의왕시 34
 
5.6%
김포시 34
 
5.6%
성남시 33
 
5.4%
광명시 28
 
4.6%
의정부시 25
 
4.1%
용인시 24
 
3.9%
Other values (18) 170
27.8%
Distinct336
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2023-12-11T06:35:15.471938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length17
Mean length9.5800654
Min length3

Characters and Unicode

Total characters5863
Distinct characters273
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

Unique226 ?
Unique (%)36.9%

Sample

1st row(주)일진환경건설
2nd row(주)지렉트코퍼레이션
3rd row실내공기질연구소 (I-LAB)
4th row(주)대한환경분석기관
5th row(주)새롬환경기술
ValueCountFrequency (%)
주식회사 60
 
8.6%
주)한솔환경산업 25
 
3.6%
한국환경기술개발(주 18
 
2.6%
주)영진환경테크 14
 
2.0%
자연과환경 13
 
1.9%
주)엔솔파트너스 10
 
1.4%
주식회사비앤지기술연구소 10
 
1.4%
미령환경개발(주 10
 
1.4%
크린환경(주 10
 
1.4%
주)생활환경연구소 8
 
1.1%
Other values (340) 520
74.5%
2023-12-11T06:35:15.942548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
535
 
9.1%
( 456
 
7.8%
) 456
 
7.8%
334
 
5.7%
321
 
5.5%
167
 
2.8%
105
 
1.8%
102
 
1.7%
91
 
1.6%
89
 
1.5%
Other values (263) 3207
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4719
80.5%
Open Punctuation 461
 
7.9%
Close Punctuation 461
 
7.9%
Space Separator 86
 
1.5%
Dash Punctuation 69
 
1.2%
Uppercase Letter 55
 
0.9%
Other Symbol 11
 
0.2%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
535
 
11.3%
334
 
7.1%
321
 
6.8%
167
 
3.5%
105
 
2.2%
102
 
2.2%
91
 
1.9%
89
 
1.9%
89
 
1.9%
84
 
1.8%
Other values (235) 2802
59.4%
Uppercase Letter
ValueCountFrequency (%)
E 9
16.4%
S 5
9.1%
I 5
9.1%
T 5
9.1%
H 5
9.1%
K 5
9.1%
N 3
 
5.5%
O 2
 
3.6%
A 2
 
3.6%
V 2
 
3.6%
Other values (10) 12
21.8%
Open Punctuation
ValueCountFrequency (%)
( 456
98.9%
[ 5
 
1.1%
Close Punctuation
ValueCountFrequency (%)
) 456
98.9%
] 5
 
1.1%
Space Separator
ValueCountFrequency (%)
86
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%
Other Symbol
ValueCountFrequency (%)
11
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4730
80.7%
Common 1078
 
18.4%
Latin 55
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
535
 
11.3%
334
 
7.1%
321
 
6.8%
167
 
3.5%
105
 
2.2%
102
 
2.2%
91
 
1.9%
89
 
1.9%
89
 
1.9%
84
 
1.8%
Other values (236) 2813
59.5%
Latin
ValueCountFrequency (%)
E 9
16.4%
S 5
9.1%
I 5
9.1%
T 5
9.1%
H 5
9.1%
K 5
9.1%
N 3
 
5.5%
O 2
 
3.6%
A 2
 
3.6%
V 2
 
3.6%
Other values (10) 12
21.8%
Common
ValueCountFrequency (%)
( 456
42.3%
) 456
42.3%
86
 
8.0%
- 69
 
6.4%
] 5
 
0.5%
[ 5
 
0.5%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4719
80.5%
ASCII 1133
 
19.3%
None 11
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
535
 
11.3%
334
 
7.1%
321
 
6.8%
167
 
3.5%
105
 
2.2%
102
 
2.2%
91
 
1.9%
89
 
1.9%
89
 
1.9%
84
 
1.8%
Other values (235) 2802
59.4%
ASCII
ValueCountFrequency (%)
( 456
40.2%
) 456
40.2%
86
 
7.6%
- 69
 
6.1%
E 9
 
0.8%
S 5
 
0.4%
] 5
 
0.4%
[ 5
 
0.4%
I 5
 
0.4%
T 5
 
0.4%
Other values (17) 32
 
2.8%
None
ValueCountFrequency (%)
11
100.0%
Distinct417
Distinct (%)68.1%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
Minimum1983-05-17 00:00:00
Maximum2023-11-29 00:00:00
2023-12-11T06:35:16.418996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:16.581577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing612
Missing (%)100.0%
Memory size5.5 KiB
Distinct7
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
<NA>
269 
N
179 
BBBB
156 
5
 
3
4
 
2
Other values (2)
 
3

Length

Max length4
Median length4
Mean length3.0833333
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 269
44.0%
N 179
29.2%
BBBB 156
25.5%
5 3
 
0.5%
4 2
 
0.3%
2 2
 
0.3%
Q 1
 
0.2%

Length

2023-12-11T06:35:16.730794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:35:16.904882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 269
44.0%
n 179
29.2%
bbbb 156
25.5%
5 3
 
0.5%
4 2
 
0.3%
2 2
 
0.3%
q 1
 
0.2%

영업상태명
Categorical

Distinct6
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
운영중
269 
신규
179 
영업
156 
제외사항
 
3
폐업
 
3

Length

Max length4
Median length2
Mean length2.4493464
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 269
44.0%
신규 179
29.2%
영업 156
25.5%
제외사항 3
 
0.5%
폐업 3
 
0.5%
폐쇄 2
 
0.3%

Length

2023-12-11T06:35:17.076027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:35:17.226313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 269
44.0%
신규 179
29.2%
영업 156
25.5%
제외사항 3
 
0.5%
폐업 3
 
0.5%
폐쇄 2
 
0.3%

폐업일자
Date

MISSING 

Distinct34
Distinct (%)94.4%
Missing576
Missing (%)94.1%
Memory size4.9 KiB
Minimum2005-07-14 00:00:00
Maximum2023-11-01 00:00:00
2023-12-11T06:35:17.378954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:17.502095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
Distinct105
Distinct (%)72.4%
Missing467
Missing (%)76.3%
Memory size4.9 KiB
2023-12-11T06:35:17.751365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length11.165517
Min length7

Characters and Unicode

Total characters1619
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

Unique80 ?
Unique (%)55.2%

Sample

1st row0319458966
2nd row0319380641
3rd row574-1709
4th row0318226666
5th row031-559-6220
ValueCountFrequency (%)
0316760388 7
 
4.8%
031-239-6625 4
 
2.8%
031-495-4902 4
 
2.8%
4314850 4
 
2.8%
0314949191 3
 
2.1%
031-413-4903 3
 
2.1%
031-898-2937 3
 
2.1%
0312058601 3
 
2.1%
0314926311 2
 
1.4%
0314931351 2
 
1.4%
Other values (95) 110
75.9%
2023-12-11T06:35:18.199195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 283
17.5%
3 262
16.2%
1 217
13.4%
- 183
11.3%
4 130
8.0%
8 107
 
6.6%
2 100
 
6.2%
9 96
 
5.9%
5 89
 
5.5%
6 87
 
5.4%
Other values (2) 65
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1434
88.6%
Dash Punctuation 183
 
11.3%
Math Symbol 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 283
19.7%
3 262
18.3%
1 217
15.1%
4 130
9.1%
8 107
 
7.5%
2 100
 
7.0%
9 96
 
6.7%
5 89
 
6.2%
6 87
 
6.1%
7 63
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 183
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1619
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 283
17.5%
3 262
16.2%
1 217
13.4%
- 183
11.3%
4 130
8.0%
8 107
 
6.6%
2 100
 
6.2%
9 96
 
5.9%
5 89
 
5.5%
6 87
 
5.4%
Other values (2) 65
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1619
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 283
17.5%
3 262
16.2%
1 217
13.4%
- 183
11.3%
4 130
8.0%
8 107
 
6.6%
2 100
 
6.2%
9 96
 
5.9%
5 89
 
5.5%
6 87
 
5.4%
Other values (2) 65
 
4.0%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing612
Missing (%)100.0%
Memory size5.5 KiB

도로명우편번호
Text

MISSING 

Distinct115
Distinct (%)38.1%
Missing310
Missing (%)50.7%
Memory size4.9 KiB
2023-12-11T06:35:18.516165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2715232
Min length5

Characters and Unicode

Total characters1592
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

Unique66 ?
Unique (%)21.9%

Sample

1st row10526
2nd row10550
3rd row10442
4th row13810
5th row13841
ValueCountFrequency (%)
423-030 24
 
7.9%
16006 16
 
5.3%
12918 14
 
4.6%
437-120 12
 
4.0%
15850 10
 
3.3%
10071 9
 
3.0%
15455 9
 
3.0%
15458 8
 
2.6%
10090 8
 
2.6%
17590 7
 
2.3%
Other values (105) 185
61.3%
2023-12-11T06:35:19.002219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 365
22.9%
0 244
15.3%
5 193
12.1%
4 158
9.9%
6 126
 
7.9%
3 115
 
7.2%
8 112
 
7.0%
2 104
 
6.5%
7 68
 
4.3%
9 66
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1551
97.4%
Dash Punctuation 41
 
2.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 365
23.5%
0 244
15.7%
5 193
12.4%
4 158
10.2%
6 126
 
8.1%
3 115
 
7.4%
8 112
 
7.2%
2 104
 
6.7%
7 68
 
4.4%
9 66
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1592
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 365
22.9%
0 244
15.3%
5 193
12.1%
4 158
9.9%
6 126
 
7.9%
3 115
 
7.2%
8 112
 
7.0%
2 104
 
6.5%
7 68
 
4.3%
9 66
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1592
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 365
22.9%
0 244
15.3%
5 193
12.1%
4 158
9.9%
6 126
 
7.9%
3 115
 
7.2%
8 112
 
7.0%
2 104
 
6.5%
7 68
 
4.3%
9 66
 
4.1%
Distinct344
Distinct (%)60.9%
Missing47
Missing (%)7.7%
Memory size4.9 KiB
2023-12-11T06:35:19.356872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length49
Mean length36.444248
Min length12

Characters and Unicode

Total characters20591
Distinct characters345
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique269 ?
Unique (%)47.6%

Sample

1st row경기도 가평군 가평읍 연인2길 13-15
2nd row경기도 고양시 덕양구 충장로 22, 탑프라자 806호 (행신동)
3rd row경기도 고양시 덕양구 삼원로 73, 한일윈스타 지식산업센터 1123호 (원흥동)
4th row경기도 고양시 덕양구 청초로 66, 601호 (덕은동)
5th row경기도 고양시 일산동구 일산로 138, 일산테크노타운 504호 (백석동)
ValueCountFrequency (%)
경기도 551
 
14.2%
안산시 74
 
1.9%
안양시 69
 
1.8%
단원구 66
 
1.7%
동안구 59
 
1.5%
군포시 56
 
1.4%
수원시 42
 
1.1%
40 36
 
0.9%
의왕시 34
 
0.9%
15 34
 
0.9%
Other values (937) 2848
73.6%
2023-12-11T06:35:19.930926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3304
 
16.0%
1 767
 
3.7%
728
 
3.5%
, 683
 
3.3%
616
 
3.0%
0 598
 
2.9%
591
 
2.9%
585
 
2.8%
578
 
2.8%
553
 
2.7%
Other values (335) 11588
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11280
54.8%
Decimal Number 3877
 
18.8%
Space Separator 3304
 
16.0%
Other Punctuation 684
 
3.3%
Close Punctuation 525
 
2.5%
Open Punctuation 525
 
2.5%
Uppercase Letter 248
 
1.2%
Dash Punctuation 83
 
0.4%
Lowercase Letter 38
 
0.2%
Math Symbol 27
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
728
 
6.5%
616
 
5.5%
591
 
5.2%
585
 
5.2%
578
 
5.1%
553
 
4.9%
443
 
3.9%
301
 
2.7%
275
 
2.4%
274
 
2.4%
Other values (285) 6336
56.2%
Uppercase Letter
ValueCountFrequency (%)
I 48
19.4%
T 43
17.3%
K 23
9.3%
A 23
9.3%
S 21
8.5%
D 21
8.5%
C 18
 
7.3%
B 13
 
5.2%
F 6
 
2.4%
N 6
 
2.4%
Other values (9) 26
10.5%
Lowercase Letter
ValueCountFrequency (%)
e 11
28.9%
r 6
15.8%
t 4
 
10.5%
n 3
 
7.9%
u 2
 
5.3%
a 2
 
5.3%
o 2
 
5.3%
c 2
 
5.3%
i 1
 
2.6%
b 1
 
2.6%
Other values (4) 4
 
10.5%
Decimal Number
ValueCountFrequency (%)
1 767
19.8%
0 598
15.4%
2 451
11.6%
5 388
10.0%
4 379
9.8%
3 369
9.5%
6 330
8.5%
7 232
 
6.0%
8 200
 
5.2%
9 163
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 683
99.9%
& 1
 
0.1%
Space Separator
ValueCountFrequency (%)
3304
100.0%
Close Punctuation
ValueCountFrequency (%)
) 525
100.0%
Open Punctuation
ValueCountFrequency (%)
( 525
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%
Math Symbol
ValueCountFrequency (%)
~ 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11280
54.8%
Common 9025
43.8%
Latin 286
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
728
 
6.5%
616
 
5.5%
591
 
5.2%
585
 
5.2%
578
 
5.1%
553
 
4.9%
443
 
3.9%
301
 
2.7%
275
 
2.4%
274
 
2.4%
Other values (285) 6336
56.2%
Latin
ValueCountFrequency (%)
I 48
16.8%
T 43
15.0%
K 23
 
8.0%
A 23
 
8.0%
S 21
 
7.3%
D 21
 
7.3%
C 18
 
6.3%
B 13
 
4.5%
e 11
 
3.8%
r 6
 
2.1%
Other values (23) 59
20.6%
Common
ValueCountFrequency (%)
3304
36.6%
1 767
 
8.5%
, 683
 
7.6%
0 598
 
6.6%
) 525
 
5.8%
( 525
 
5.8%
2 451
 
5.0%
5 388
 
4.3%
4 379
 
4.2%
3 369
 
4.1%
Other values (7) 1036
 
11.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11280
54.8%
ASCII 9311
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3304
35.5%
1 767
 
8.2%
, 683
 
7.3%
0 598
 
6.4%
) 525
 
5.6%
( 525
 
5.6%
2 451
 
4.8%
5 388
 
4.2%
4 379
 
4.1%
3 369
 
4.0%
Other values (40) 1322
14.2%
Hangul
ValueCountFrequency (%)
728
 
6.5%
616
 
5.5%
591
 
5.2%
585
 
5.2%
578
 
5.1%
553
 
4.9%
443
 
3.9%
301
 
2.7%
275
 
2.4%
274
 
2.4%
Other values (285) 6336
56.2%

소재지지번주소
Text

MISSING 

Distinct320
Distinct (%)56.7%
Missing48
Missing (%)7.8%
Memory size4.9 KiB
2023-12-11T06:35:20.249365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length45
Mean length31.923759
Min length15

Characters and Unicode

Total characters18005
Distinct characters320
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique235 ?
Unique (%)41.7%

Sample

1st row경기도 가평군 가평읍 읍내리 468-34번지
2nd row경기도 고양시 덕양구 행신동 761-3번지 탑프라자 806호
3rd row경기도 고양시 덕양구 원흥동 705번지 한일윈스타지식산업센터 1123호
4th row경기도 고양시 덕양구 덕은동 601호
5th row경기도 고양시 일산동구 백석동 1141-1번지 일산테크노타운 504호
ValueCountFrequency (%)
경기도 562
 
15.9%
안산시 74
 
2.1%
안양시 69
 
1.9%
단원구 66
 
1.9%
동안구 59
 
1.7%
군포시 56
 
1.6%
수원시 42
 
1.2%
의왕시 34
 
1.0%
당정동 34
 
1.0%
김포시 33
 
0.9%
Other values (802) 2515
71.0%
2023-12-11T06:35:20.714594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2980
 
16.6%
712
 
4.0%
1 688
 
3.8%
628
 
3.5%
602
 
3.3%
584
 
3.2%
583
 
3.2%
580
 
3.2%
562
 
3.1%
0 561
 
3.1%
Other values (310) 9525
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10222
56.8%
Decimal Number 4001
 
22.2%
Space Separator 2980
 
16.6%
Dash Punctuation 368
 
2.0%
Uppercase Letter 254
 
1.4%
Other Punctuation 93
 
0.5%
Lowercase Letter 37
 
0.2%
Math Symbol 26
 
0.1%
Close Punctuation 12
 
0.1%
Open Punctuation 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
712
 
7.0%
628
 
6.1%
602
 
5.9%
584
 
5.7%
583
 
5.7%
580
 
5.7%
562
 
5.5%
445
 
4.4%
267
 
2.6%
254
 
2.5%
Other values (260) 5005
49.0%
Uppercase Letter
ValueCountFrequency (%)
I 48
18.9%
T 44
17.3%
K 23
9.1%
A 22
8.7%
D 21
8.3%
S 21
8.3%
C 18
 
7.1%
B 14
 
5.5%
E 7
 
2.8%
N 6
 
2.4%
Other values (10) 30
11.8%
Lowercase Letter
ValueCountFrequency (%)
e 11
29.7%
r 6
16.2%
t 4
 
10.8%
n 3
 
8.1%
a 2
 
5.4%
c 2
 
5.4%
u 2
 
5.4%
o 2
 
5.4%
i 1
 
2.7%
w 1
 
2.7%
Other values (3) 3
 
8.1%
Decimal Number
ValueCountFrequency (%)
1 688
17.2%
0 561
14.0%
2 510
12.7%
3 393
9.8%
4 385
9.6%
5 361
9.0%
6 345
8.6%
7 275
 
6.9%
8 251
 
6.3%
9 232
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 92
98.9%
& 1
 
1.1%
Space Separator
ValueCountFrequency (%)
2980
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 368
100.0%
Math Symbol
ValueCountFrequency (%)
~ 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10222
56.8%
Common 7492
41.6%
Latin 291
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
712
 
7.0%
628
 
6.1%
602
 
5.9%
584
 
5.7%
583
 
5.7%
580
 
5.7%
562
 
5.5%
445
 
4.4%
267
 
2.6%
254
 
2.5%
Other values (260) 5005
49.0%
Latin
ValueCountFrequency (%)
I 48
16.5%
T 44
15.1%
K 23
 
7.9%
A 22
 
7.6%
D 21
 
7.2%
S 21
 
7.2%
C 18
 
6.2%
B 14
 
4.8%
e 11
 
3.8%
E 7
 
2.4%
Other values (23) 62
21.3%
Common
ValueCountFrequency (%)
2980
39.8%
1 688
 
9.2%
0 561
 
7.5%
2 510
 
6.8%
3 393
 
5.2%
4 385
 
5.1%
- 368
 
4.9%
5 361
 
4.8%
6 345
 
4.6%
7 275
 
3.7%
Other values (7) 626
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10222
56.8%
ASCII 7783
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2980
38.3%
1 688
 
8.8%
0 561
 
7.2%
2 510
 
6.6%
3 393
 
5.0%
4 385
 
4.9%
- 368
 
4.7%
5 361
 
4.6%
6 345
 
4.4%
7 275
 
3.5%
Other values (40) 917
 
11.8%
Hangul
ValueCountFrequency (%)
712
 
7.0%
628
 
6.1%
602
 
5.9%
584
 
5.7%
583
 
5.7%
580
 
5.7%
562
 
5.5%
445
 
4.4%
267
 
2.6%
254
 
2.5%
Other values (260) 5005
49.0%
Distinct273
Distinct (%)44.7%
Missing1
Missing (%)0.2%
Memory size4.9 KiB
2023-12-11T06:35:21.181944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3502455
Min length5

Characters and Unicode

Total characters3269
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

Unique169 ?
Unique (%)27.7%

Sample

1st row477801
2nd row10526
3rd row10550
4th row10543
5th row10442
ValueCountFrequency (%)
423-030 24
 
3.9%
15850 24
 
3.9%
16006 17
 
2.8%
12918 14
 
2.3%
437-120 12
 
2.0%
15807 12
 
2.0%
14056 10
 
1.6%
15455 10
 
1.6%
15458 10
 
1.6%
10071 9
 
1.5%
Other values (263) 469
76.8%
2023-12-11T06:35:21.828837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 684
20.9%
0 431
13.2%
4 422
12.9%
5 376
11.5%
8 294
9.0%
6 246
 
7.5%
2 245
 
7.5%
3 232
 
7.1%
7 178
 
5.4%
9 124
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3232
98.9%
Dash Punctuation 37
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 684
21.2%
0 431
13.3%
4 422
13.1%
5 376
11.6%
8 294
9.1%
6 246
 
7.6%
2 245
 
7.6%
3 232
 
7.2%
7 178
 
5.5%
9 124
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3269
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 684
20.9%
0 431
13.2%
4 422
12.9%
5 376
11.5%
8 294
9.0%
6 246
 
7.5%
2 245
 
7.5%
3 232
 
7.1%
7 178
 
5.4%
9 124
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3269
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 684
20.9%
0 431
13.2%
4 422
12.9%
5 376
11.5%
8 294
9.0%
6 246
 
7.5%
2 245
 
7.5%
3 232
 
7.1%
7 178
 
5.4%
9 124
 
3.8%

WGS84위도
Real number (ℝ)

MISSING 

Distinct245
Distinct (%)43.4%
Missing48
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean37.41217
Minimum36.987609
Maximum37.90754
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2023-12-11T06:35:21.994071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.987609
5-th percentile37.156525
Q137.310996
median37.391622
Q337.493815
95-th percentile37.7332
Maximum37.90754
Range0.91993091
Interquartile range (IQR)0.1828196

Descriptive statistics

Standard deviation0.17028249
Coefficient of variation (CV)0.0045515266
Kurtosis0.36439551
Mean37.41217
Median Absolute Deviation (MAD)0.089359095
Skewness0.32479726
Sum21100.464
Variance0.028996126
MonotonicityNot monotonic
2023-12-11T06:35:22.153061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4017965187 30
 
4.9%
37.4927658199 26
 
4.2%
37.3484253669 14
 
2.3%
37.3767905304 12
 
2.0%
37.3496648085 11
 
1.8%
37.3032474513 10
 
1.6%
37.5526520126 10
 
1.6%
37.4015310331 9
 
1.5%
37.6440365127 9
 
1.5%
37.6381652697 8
 
1.3%
Other values (235) 425
69.4%
(Missing) 48
 
7.8%
ValueCountFrequency (%)
36.9876094041 3
 
0.5%
36.9905653752 1
 
0.2%
36.992600711 1
 
0.2%
36.9931794459 3
 
0.5%
37.0064156096 8
1.3%
37.0842393597 1
 
0.2%
37.091547235 1
 
0.2%
37.0922603779 1
 
0.2%
37.0926535232 1
 
0.2%
37.104527651 1
 
0.2%
ValueCountFrequency (%)
37.9075403169 1
0.2%
37.8757935746 1
0.2%
37.870206746 2
0.3%
37.8427044805 2
0.3%
37.8293826202 1
0.2%
37.827670878 1
0.2%
37.8168156964 1
0.2%
37.7850139366 1
0.2%
37.7723413041 1
0.2%
37.7596839502 1
0.2%

WGS84경도
Real number (ℝ)

MISSING 

Distinct245
Distinct (%)43.4%
Missing48
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean126.95559
Minimum126.5466
Maximum127.51248
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2023-12-11T06:35:22.306358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.5466
5-th percentile126.68011
Q1126.83414
median126.95666
Q3127.04483
95-th percentile127.19569
Maximum127.51248
Range0.96587413
Interquartile range (IQR)0.21069008

Descriptive statistics

Standard deviation0.15672494
Coefficient of variation (CV)0.0012344864
Kurtosis-0.003629029
Mean126.95559
Median Absolute Deviation (MAD)0.10963711
Skewness0.0097944709
Sum71602.952
Variance0.024562708
MonotonicityNot monotonic
2023-12-11T06:35:22.445810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9910176434 30
 
4.9%
126.8685001666 26
 
4.2%
126.9525159902 14
 
2.3%
126.9426189248 12
 
2.0%
126.9535005762 11
 
1.8%
126.8109164149 10
 
1.6%
127.1827170463 10
 
1.6%
126.9675749609 9
 
1.5%
126.6181342096 9
 
1.5%
126.6801103797 8
 
1.3%
Other values (235) 425
69.4%
(Missing) 48
 
7.8%
ValueCountFrequency (%)
126.54660312 1
 
0.2%
126.570309179 1
 
0.2%
126.5794967265 1
 
0.2%
126.6181342096 9
1.5%
126.6233956757 5
0.8%
126.6270068083 4
0.7%
126.6457148927 1
 
0.2%
126.6464437287 2
 
0.3%
126.6801103797 8
1.3%
126.6982957908 1
 
0.2%
ValueCountFrequency (%)
127.5124772546 1
 
0.2%
127.4762757348 1
 
0.2%
127.3350962438 1
 
0.2%
127.2784388457 8
1.3%
127.2721468415 1
 
0.2%
127.2719648877 1
 
0.2%
127.2480319688 1
 
0.2%
127.2464163003 1
 
0.2%
127.243418382 1
 
0.2%
127.2348242997 6
1.0%

업태구분명정보
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing608
Missing (%)99.3%
Memory size4.9 KiB
2023-12-11T06:35:22.607257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15.5
Mean length16
Min length12

Characters and Unicode

Total characters64
Distinct characters31
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

Unique4 ?
Unique (%)100.0%

Sample

1st row시설물 유지관리 공사업
2nd row환경 관련 엔지니어링 서비스업
3rd row환경컨설팅 및 관련 엔지니어링 서비스업
4th row기술 시험, 검사 및 분석업
ValueCountFrequency (%)
관련 2
11.8%
엔지니어링 2
11.8%
서비스업 2
11.8%
2
11.8%
시설물 1
 
5.9%
유지관리 1
 
5.9%
공사업 1
 
5.9%
환경 1
 
5.9%
환경컨설팅 1
 
5.9%
기술 1
 
5.9%
Other values (3) 3
17.6%
2023-12-11T06:35:22.908893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
20.3%
4
 
6.2%
3
 
4.7%
3
 
4.7%
2
 
3.1%
2
 
3.1%
2
 
3.1%
2
 
3.1%
2
 
3.1%
2
 
3.1%
Other values (21) 29
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50
78.1%
Space Separator 13
 
20.3%
Other Punctuation 1
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4
 
8.0%
3
 
6.0%
3
 
6.0%
2
 
4.0%
2
 
4.0%
2
 
4.0%
2
 
4.0%
2
 
4.0%
2
 
4.0%
2
 
4.0%
Other values (19) 26
52.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50
78.1%
Common 14
 
21.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4
 
8.0%
3
 
6.0%
3
 
6.0%
2
 
4.0%
2
 
4.0%
2
 
4.0%
2
 
4.0%
2
 
4.0%
2
 
4.0%
2
 
4.0%
Other values (19) 26
52.0%
Common
ValueCountFrequency (%)
13
92.9%
, 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50
78.1%
ASCII 14
 
21.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13
92.9%
, 1
 
7.1%
Hangul
ValueCountFrequency (%)
4
 
8.0%
3
 
6.0%
3
 
6.0%
2
 
4.0%
2
 
4.0%
2
 
4.0%
2
 
4.0%
2
 
4.0%
2
 
4.0%
2
 
4.0%
Other values (19) 26
52.0%

X좌표값
Real number (ℝ)

MISSING 

Distinct130
Distinct (%)42.5%
Missing306
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean194619.52
Minimum166214.89
Maximum224709.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2023-12-11T06:35:23.023202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum166214.89
5-th percentile167001
Q1184407.49
median196085.25
Q3203599.51
95-th percentile216403.74
Maximum224709.01
Range58494.118
Interquartile range (IQR)19192.02

Descriptive statistics

Standard deviation14329.75
Coefficient of variation (CV)0.073629562
Kurtosis-0.52534629
Mean194619.52
Median Absolute Deviation (MAD)11295.203
Skewness-0.0088949956
Sum59553573
Variance2.0534173 × 108
MonotonicityNot monotonic
2023-12-11T06:35:23.150478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
199121.920450955 28
 
4.6%
188306.507377445 24
 
3.9%
216038.566179914 10
 
1.6%
195817.208398581 9
 
1.5%
166214.893825482 9
 
1.5%
171699.112051192 8
 
1.3%
183165.555491372 8
 
1.3%
196085.251389901 7
 
1.1%
224709.011501032 7
 
1.1%
180878.941038538 6
 
1.0%
Other values (120) 190
31.0%
(Missing) 306
50.0%
ValueCountFrequency (%)
166214.893825482 9
1.5%
166703.611200836 4
0.7%
167001.002220946 4
0.7%
168678.206877687 1
 
0.2%
171699.112051192 8
1.3%
173142.834776309 1
 
0.2%
174019.153317441 1
 
0.2%
174164.574435626 1
 
0.2%
176035.535074099 1
 
0.2%
177026.97158168 2
 
0.3%
ValueCountFrequency (%)
224709.011501032 7
1.1%
224160.653376272 1
 
0.2%
221769.354998197 1
 
0.2%
220652.124875844 1
 
0.2%
218540.331988512 1
 
0.2%
217323.630152985 3
 
0.5%
217137.519410187 1
 
0.2%
216493.07691914 1
 
0.2%
216135.746354406 4
 
0.7%
216038.566179914 10
1.6%

Y좌표값
Real number (ℝ)

MISSING 

Distinct130
Distinct (%)42.5%
Missing306
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean432764.92
Minimum387336.87
Maximum482237.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2023-12-11T06:35:23.287931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum387336.87
5-th percentile402316.23
Q1422661.04
median432448.47
Q3443404.36
95-th percentile460298.27
Maximum482237.73
Range94900.858
Interquartile range (IQR)20743.321

Descriptive statistics

Standard deviation17792.517
Coefficient of variation (CV)0.041113584
Kurtosis0.44737593
Mean432764.92
Median Absolute Deviation (MAD)10501.892
Skewness-0.075242407
Sum1.3242606 × 108
Variance3.1657366 × 108
MonotonicityNot monotonic
2023-12-11T06:35:23.404391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
433212.828910976 28
 
4.6%
443404.361061634 24
 
3.9%
450059.249204826 10
 
1.6%
427507.591682852 9
 
1.5%
460298.273733436 9
 
1.5%
459580.929709252 8
 
1.3%
422378.87289029 8
 
1.3%
427871.950941592 7
 
1.1%
389454.033117753 7
 
1.1%
424612.422892591 6
 
1.0%
Other values (120) 190
31.0%
(Missing) 306
50.0%
ValueCountFrequency (%)
387336.869599508 2
 
0.3%
387686.078230546 1
 
0.2%
387986.827548189 3
0.5%
389454.033117753 7
1.1%
398073.973939549 1
 
0.2%
400311.796309213 1
 
0.2%
401478.522086496 1
 
0.2%
404829.361966263 1
 
0.2%
408795.725315245 1
 
0.2%
409662.435435656 5
0.8%
ValueCountFrequency (%)
482237.727296796 1
0.2%
480588.942937585 1
0.2%
475833.468378443 1
0.2%
473021.275668206 1
0.2%
472291.163797512 1
0.2%
470086.983752638 1
0.2%
469552.867333176 1
0.2%
467690.825592483 1
0.2%
463164.562633189 1
0.2%
461067.506789155 1
0.2%

실험실면적정보
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)9.9%
Missing269
Missing (%)44.0%
Infinite0
Infinite (%)0.0%
Mean26.553178
Minimum0
Maximum3928
Zeros301
Zeros (%)49.2%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2023-12-11T06:35:23.511717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile97.9
Maximum3928
Range3928
Interquartile range (IQR)0

Descriptive statistics

Standard deviation218.55535
Coefficient of variation (CV)8.2308548
Kurtosis299.35856
Mean26.553178
Median Absolute Deviation (MAD)0
Skewness16.823428
Sum9107.74
Variance47766.441
MonotonicityNot monotonic
2023-12-11T06:35:23.623808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0.0 301
49.2%
33.0 3
 
0.5%
100.0 3
 
0.5%
86.0 3
 
0.5%
228.0 2
 
0.3%
160.0 2
 
0.3%
183.87 2
 
0.3%
43.0 1
 
0.2%
230.0 1
 
0.2%
70.0 1
 
0.2%
Other values (24) 24
 
3.9%
(Missing) 269
44.0%
ValueCountFrequency (%)
0.0 301
49.2%
23.0 1
 
0.2%
27.0 1
 
0.2%
33.0 3
 
0.5%
34.0 1
 
0.2%
43.0 1
 
0.2%
50.0 1
 
0.2%
65.0 1
 
0.2%
66.0 1
 
0.2%
68.0 1
 
0.2%
ValueCountFrequency (%)
3928.0 1
0.2%
638.0 1
0.2%
356.0 1
0.2%
265.0 1
0.2%
263.0 1
0.2%
230.0 1
0.2%
228.0 2
0.3%
183.87 2
0.3%
160.0 2
0.3%
145.0 1
0.2%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
측정대행업
343 
<NA>
269 

Length

Max length5
Median length5
Mean length4.5604575
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
측정대행업 343
56.0%
<NA> 269
44.0%

Length

2023-12-11T06:35:23.741018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:35:23.828611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
측정대행업 343
56.0%
na 269
44.0%

영업소면적
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
0
343 
<NA>
269 

Length

Max length4
Median length1
Mean length2.3186275
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 343
56.0%
<NA> 269
44.0%

Length

2023-12-11T06:35:23.925402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:35:24.012320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 343
56.0%
na 269
44.0%

실험실지역코드
Real number (ℝ)

MISSING 

Distinct74
Distinct (%)28.4%
Missing351
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean4.1307715 × 109
Minimum4.1111135 × 109
Maximum4.165033 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2023-12-11T06:35:24.120859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.1111135 × 109
5-th percentile4.1115138 × 109
Q14.1173104 × 109
median4.1273104 × 109
Q34.1430109 × 109
95-th percentile4.1570256 × 109
Maximum4.165033 × 109
Range53919524
Interquartile range (IQR)25700500

Descriptive statistics

Standard deviation14618909
Coefficient of variation (CV)0.0035390263
Kurtosis-0.83176543
Mean4.1307715 × 109
Median Absolute Deviation (MAD)10000200
Skewness0.55900857
Sum1.0781314 × 1012
Variance2.1371249 × 1014
MonotonicityNot monotonic
2023-12-11T06:35:24.495630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4121010200 24
 
3.9%
4127310100 16
 
2.6%
4143010900 12
 
2.0%
4117310200 12
 
2.0%
4141010200 11
 
1.8%
4145011000 10
 
1.6%
4157010900 9
 
1.5%
4127310700 9
 
1.5%
4117310400 8
 
1.3%
4127310400 8
 
1.3%
Other values (64) 142
23.2%
(Missing) 351
57.4%
ValueCountFrequency (%)
4111113500 2
 
0.3%
4111312600 1
 
0.2%
4111312800 5
0.8%
4111313400 1
 
0.2%
4111313700 4
0.7%
4111513800 1
 
0.2%
4111710200 2
 
0.3%
4111710300 1
 
0.2%
4111710500 3
0.5%
4113110800 2
 
0.3%
ValueCountFrequency (%)
4165033024 1
 
0.2%
4163011000 1
 
0.2%
4159033024 1
 
0.2%
4159032021 1
 
0.2%
4159025929 1
 
0.2%
4159025925 1
 
0.2%
4159025924 1
 
0.2%
4159013100 3
0.5%
4159012400 1
 
0.2%
4157025626 4
0.7%

실험실우편번호
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)20.4%
Missing514
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean170773.12
Minimum10047
Maximum482060
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2023-12-11T06:35:24.600004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10047
5-th percentile10068.15
Q112918
median17590
Q3423030
95-th percentile437120
Maximum482060
Range472013
Interquartile range (IQR)410112

Descriptive statistics

Standard deviation202425.36
Coefficient of variation (CV)1.1853467
Kurtosis-1.7634667
Mean170773.12
Median Absolute Deviation (MAD)7519
Skewness0.51636671
Sum16735766
Variance4.0976025 × 1010
MonotonicityNot monotonic
2023-12-11T06:35:24.700720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
423030 24
 
3.9%
437120 12
 
2.0%
12918 10
 
1.6%
15850 9
 
1.5%
10071 9
 
1.5%
17590 7
 
1.1%
18105 5
 
0.8%
13810 4
 
0.7%
10047 4
 
0.7%
17558 3
 
0.5%
Other values (10) 11
 
1.8%
(Missing) 514
84.0%
ValueCountFrequency (%)
10047 4
 
0.7%
10052 1
 
0.2%
10071 9
1.5%
11168 1
 
0.2%
11610 1
 
0.2%
11653 1
 
0.2%
11801 1
 
0.2%
11901 1
 
0.2%
12918 10
1.6%
13810 4
 
0.7%
ValueCountFrequency (%)
482060 1
 
0.2%
437120 12
2.0%
423030 24
3.9%
18105 5
 
0.8%
17596 1
 
0.2%
17590 7
 
1.1%
17558 3
 
0.5%
15850 9
 
1.5%
15849 2
 
0.3%
13841 1
 
0.2%

실험실산명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
<NA>
351 
1
200 
0
61 

Length

Max length4
Median length4
Mean length2.7205882
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 351
57.4%
1 200
32.7%
0 61
 
10.0%

Length

2023-12-11T06:35:24.829420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:35:24.940752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 351
57.4%
1 200
32.7%
0 61
 
10.0%

실험실번지
Real number (ℝ)

MISSING 

Distinct112
Distinct (%)43.1%
Missing352
Missing (%)57.5%
Infinite0
Infinite (%)0.0%
Mean996.92692
Minimum0
Maximum6871
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2023-12-11T06:35:25.062940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile33.5
Q1532.75
median681
Q3980
95-th percentile2845
Maximum6871
Range6871
Interquartile range (IQR)447.25

Descriptive statistics

Standard deviation1322.9167
Coefficient of variation (CV)1.3269947
Kurtosis13.15772
Mean996.92692
Median Absolute Deviation (MAD)231.5
Skewness3.6514459
Sum259201
Variance1750108.6
MonotonicityNot monotonic
2023-12-11T06:35:25.358408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
626 24
 
3.9%
653 12
 
2.0%
489 10
 
1.6%
681 9
 
1.5%
1045 9
 
1.5%
6871 9
 
1.5%
742 8
 
1.3%
24 7
 
1.1%
802 6
 
1.0%
595 5
 
0.8%
Other values (102) 161
26.3%
(Missing) 352
57.5%
ValueCountFrequency (%)
0 1
 
0.2%
2 4
0.7%
18 1
 
0.2%
24 7
1.1%
34 1
 
0.2%
39 1
 
0.2%
55 1
 
0.2%
56 1
 
0.2%
87 1
 
0.2%
126 3
0.5%
ValueCountFrequency (%)
6871 9
1.5%
6143 1
 
0.2%
6060 1
 
0.2%
5460 1
 
0.2%
2845 4
0.7%
2211 1
 
0.2%
2089 1
 
0.2%
1881 1
 
0.2%
1639 2
 
0.3%
1496 2
 
0.3%

실험실호정보
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)13.7%
Missing422
Missing (%)69.0%
Infinite0
Infinite (%)0.0%
Mean7.6842105
Minimum0
Maximum542
Zeros30
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2023-12-11T06:35:25.493653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q37
95-th percentile19
Maximum542
Range542
Interquartile range (IQR)6

Descriptive statistics

Standard deviation39.588161
Coefficient of variation (CV)5.151884
Kurtosis178.20794
Mean7.6842105
Median Absolute Deviation (MAD)2
Skewness13.159572
Sum1460
Variance1567.2225
MonotonicityNot monotonic
2023-12-11T06:35:25.659936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
3 44
 
7.2%
0 30
 
4.9%
1 30
 
4.9%
2 22
 
3.6%
7 19
 
3.1%
9 7
 
1.1%
4 6
 
1.0%
5 5
 
0.8%
6 4
 
0.7%
13 3
 
0.5%
Other values (16) 20
 
3.3%
(Missing) 422
69.0%
ValueCountFrequency (%)
0 30
4.9%
1 30
4.9%
2 22
3.6%
3 44
7.2%
4 6
 
1.0%
5 5
 
0.8%
6 4
 
0.7%
7 19
3.1%
8 1
 
0.2%
9 7
 
1.1%
ValueCountFrequency (%)
542 1
 
0.2%
55 1
 
0.2%
37 1
 
0.2%
34 1
 
0.2%
27 1
 
0.2%
24 1
 
0.2%
22 1
 
0.2%
20 2
0.3%
19 2
0.3%
18 3
0.5%

실험실통정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing612
Missing (%)100.0%
Memory size5.5 KiB

실험실반정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing612
Missing (%)100.0%
Memory size5.5 KiB

실험실특수주소
Text

MISSING 

Distinct77
Distinct (%)44.5%
Missing439
Missing (%)71.7%
Memory size4.9 KiB
2023-12-11T06:35:25.971531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length14
Mean length9.0404624
Min length2

Characters and Unicode

Total characters1564
Distinct characters190
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

Unique51 ?
Unique (%)29.5%

Sample

1st row탑프라자
2nd row일산테크노타운
3rd row한국화학융합시험연구원
4th row한국화학융합시험연구원
5th row한국화학융합시험연구원
ValueCountFrequency (%)
광명테크노타운 24
 
10.8%
인덕원아이티밸리 12
 
5.4%
미사테스타타워지식산업센터 10
 
4.5%
군포it밸리,703호,705호,803호 9
 
4.0%
키즈타워2 8
 
3.6%
지식산업센터 6
 
2.7%
리드 5
 
2.2%
스마트스퀘어 5
 
2.2%
첨단벤처밸리 4
 
1.8%
메가밸리 4
 
1.8%
Other values (94) 136
61.0%
2023-12-11T06:35:26.438973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
71
 
4.5%
50
 
3.2%
47
 
3.0%
46
 
2.9%
45
 
2.9%
40
 
2.6%
36
 
2.3%
35
 
2.2%
33
 
2.1%
32
 
2.0%
Other values (180) 1129
72.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1243
79.5%
Decimal Number 122
 
7.8%
Uppercase Letter 64
 
4.1%
Space Separator 50
 
3.2%
Other Punctuation 32
 
2.0%
Lowercase Letter 31
 
2.0%
Close Punctuation 8
 
0.5%
Open Punctuation 8
 
0.5%
Dash Punctuation 6
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
71
 
5.7%
47
 
3.8%
46
 
3.7%
45
 
3.6%
40
 
3.2%
36
 
2.9%
35
 
2.8%
33
 
2.7%
32
 
2.6%
31
 
2.5%
Other values (146) 827
66.5%
Uppercase Letter
ValueCountFrequency (%)
I 22
34.4%
T 15
23.4%
W 6
 
9.4%
B 4
 
6.2%
K 4
 
6.2%
V 3
 
4.7%
Z 3
 
4.7%
S 2
 
3.1%
A 2
 
3.1%
X 1
 
1.6%
Other values (2) 2
 
3.1%
Decimal Number
ValueCountFrequency (%)
0 31
25.4%
7 22
18.0%
3 21
17.2%
2 18
14.8%
8 9
 
7.4%
5 9
 
7.4%
1 8
 
6.6%
4 4
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
n 8
25.8%
e 7
22.6%
i 6
19.4%
t 3
 
9.7%
r 3
 
9.7%
c 2
 
6.5%
w 1
 
3.2%
o 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 31
96.9%
& 1
 
3.1%
Space Separator
ValueCountFrequency (%)
50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1243
79.5%
Common 226
 
14.5%
Latin 95
 
6.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
71
 
5.7%
47
 
3.8%
46
 
3.7%
45
 
3.6%
40
 
3.2%
36
 
2.9%
35
 
2.8%
33
 
2.7%
32
 
2.6%
31
 
2.5%
Other values (146) 827
66.5%
Latin
ValueCountFrequency (%)
I 22
23.2%
T 15
15.8%
n 8
 
8.4%
e 7
 
7.4%
W 6
 
6.3%
i 6
 
6.3%
B 4
 
4.2%
K 4
 
4.2%
t 3
 
3.2%
r 3
 
3.2%
Other values (10) 17
17.9%
Common
ValueCountFrequency (%)
50
22.1%
0 31
13.7%
, 31
13.7%
7 22
9.7%
3 21
9.3%
2 18
 
8.0%
8 9
 
4.0%
5 9
 
4.0%
1 8
 
3.5%
) 8
 
3.5%
Other values (4) 19
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1243
79.5%
ASCII 321
 
20.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
71
 
5.7%
47
 
3.8%
46
 
3.7%
45
 
3.6%
40
 
3.2%
36
 
2.9%
35
 
2.8%
33
 
2.7%
32
 
2.6%
31
 
2.5%
Other values (146) 827
66.5%
ASCII
ValueCountFrequency (%)
50
15.6%
0 31
 
9.7%
, 31
 
9.7%
7 22
 
6.9%
I 22
 
6.9%
3 21
 
6.5%
2 18
 
5.6%
T 15
 
4.7%
8 9
 
2.8%
5 9
 
2.8%
Other values (24) 93
29.0%

실험실특수동주소
Categorical

IMBALANCE 

Distinct8
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
<NA>
588 
C
 
14
A
 
5
지신산업센터
 
1
3동
 
1
Other values (3)
 
3

Length

Max length7
Median length4
Mean length3.9019608
Min length1

Unique

Unique5 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 588
96.1%
C 14
 
2.3%
A 5
 
0.8%
지신산업센터 1
 
0.2%
3동 1
 
0.2%
3동 505호 1
 
0.2%
D 1
 
0.2%
1 1
 
0.2%

Length

2023-12-11T06:35:26.602120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:35:26.719420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 588
95.9%
c 14
 
2.3%
a 5
 
0.8%
3동 2
 
0.3%
지신산업센터 1
 
0.2%
505호 1
 
0.2%
d 1
 
0.2%
1 1
 
0.2%

실험실특수호주소
Categorical

IMBALANCE 

Distinct32
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
<NA>
530 
603
 
24
417
 
13
839,940
 
10
401
 
3
Other values (27)
 
32

Length

Max length7
Median length4
Mean length3.9607843
Min length3

Unique

Unique23 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 530
86.6%
603 24
 
3.9%
417 13
 
2.1%
839,940 10
 
1.6%
401 3
 
0.5%
502 3
 
0.5%
505 2
 
0.3%
404 2
 
0.3%
201,2 2
 
0.3%
508 1
 
0.2%
Other values (22) 22
 
3.6%

Length

2023-12-11T06:35:26.853822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 530
86.6%
603 24
 
3.9%
417 13
 
2.1%
839,940 10
 
1.6%
401 3
 
0.5%
502 3
 
0.5%
505 2
 
0.3%
404 2
 
0.3%
201,2 2
 
0.3%
b-140 1
 
0.2%
Other values (22) 22
 
3.6%

실험실도로명주소읍면동정보
Real number (ℝ)

MISSING 

Distinct75
Distinct (%)26.7%
Missing331
Missing (%)54.1%
Infinite0
Infinite (%)0.0%
Mean4.1318421 × 109
Minimum4.1111135 × 109
Maximum4.165033 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2023-12-11T06:35:26.981058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.1111135 × 109
5-th percentile4.1117102 × 109
Q14.1190103 × 109
median4.1273105 × 109
Q34.1430109 × 109
95-th percentile4.1570256 × 109
Maximum4.165033 × 109
Range53919524
Interquartile range (IQR)24000600

Descriptive statistics

Standard deviation14686866
Coefficient of variation (CV)0.0035545563
Kurtosis-1.0031691
Mean4.1318421 × 109
Median Absolute Deviation (MAD)10200400
Skewness0.40647237
Sum1.1610476 × 1012
Variance2.1570402 × 1014
MonotonicityNot monotonic
2023-12-11T06:35:27.122690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4143010900 28
 
4.6%
4121010200 24
 
3.9%
4127310100 16
 
2.6%
4117310200 12
 
2.0%
4141010200 11
 
1.8%
4145011000 10
 
1.6%
4157010900 9
 
1.5%
4127310700 9
 
1.5%
4127310400 8
 
1.3%
4117310400 8
 
1.3%
Other values (65) 146
23.9%
(Missing) 331
54.1%
ValueCountFrequency (%)
4111113500 2
 
0.3%
4111312600 1
 
0.2%
4111312800 5
0.8%
4111313400 1
 
0.2%
4111313700 4
0.7%
4111513800 1
 
0.2%
4111710200 2
 
0.3%
4111710300 1
 
0.2%
4111710500 3
0.5%
4113110800 2
 
0.3%
ValueCountFrequency (%)
4165033024 1
 
0.2%
4163011000 1
 
0.2%
4159033024 1
 
0.2%
4159032021 1
 
0.2%
4159025929 1
 
0.2%
4159025925 1
 
0.2%
4159025924 1
 
0.2%
4159013100 3
0.5%
4159012400 1
 
0.2%
4157025626 4
0.7%
Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
<NA>
331 
1
262 
0
 
19

Length

Max length4
Median length4
Mean length2.622549
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 331
54.1%
1 262
42.8%
0 19
 
3.1%

Length

2023-12-11T06:35:27.285107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:35:27.389436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 331
54.1%
1 262
42.8%
0 19
 
3.1%

실험실도로명주소정보
Real number (ℝ)

MISSING 

Distinct100
Distinct (%)35.6%
Missing331
Missing (%)54.1%
Infinite0
Infinite (%)0.0%
Mean3670183.9
Minimum2000018
Maximum4857375
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2023-12-11T06:35:27.512228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000018
5-th percentile3000120
Q13191064
median3208014
Q34361198
95-th percentile4436121
Maximum4857375
Range2857357
Interquartile range (IQR)1170134

Descriptive statistics

Standard deviation701708.59
Coefficient of variation (CV)0.19119167
Kurtosis-0.93846106
Mean3670183.9
Median Absolute Deviation (MAD)195998
Skewness-0.087541153
Sum1.0313217 × 109
Variance4.9239495 × 1011
MonotonicityNot monotonic
2023-12-11T06:35:27.665861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3201052 28
 
4.6%
4361198 24
 
3.9%
3190012 12
 
2.0%
3202057 10
 
1.6%
4403064 9
 
1.5%
4838106 9
 
1.5%
3191064 9
 
1.5%
3208014 7
 
1.1%
4373505 6
 
1.0%
3012031 6
 
1.0%
Other values (90) 161
26.3%
(Missing) 331
54.1%
ValueCountFrequency (%)
2000018 4
0.7%
2012008 3
0.5%
2179001 1
 
0.2%
2183002 1
 
0.2%
2190001 3
0.5%
3000020 2
 
0.3%
3000120 2
 
0.3%
3000238 2
 
0.3%
3012011 1
 
0.2%
3012016 6
1.0%
ValueCountFrequency (%)
4857375 1
 
0.2%
4851616 2
 
0.3%
4848198 1
 
0.2%
4838106 9
1.5%
4439342 1
 
0.2%
4436121 1
 
0.2%
4431362 1
 
0.2%
4430734 1
 
0.2%
4430357 1
 
0.2%
4427619 4
0.7%
Distinct135
Distinct (%)59.0%
Missing383
Missing (%)62.6%
Memory size4.9 KiB
2023-12-11T06:35:27.932378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length26
Mean length15.179039
Min length4

Characters and Unicode

Total characters3476
Distinct characters226
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique103 ?
Unique (%)45.0%

Sample

1st row탑프라자 806호 (행신동)
2nd row한일윈스타 지식산업센터 (원흥동)
3rd row덕은리버워크 지식산업센터 601호 (덕은동)
4th row일산테크노타운 504호 (백석동)
5th row한국화학융합시험연구원
ValueCountFrequency (%)
광명테크노타운 24
 
4.3%
고잔동 16
 
2.9%
인덕원아이티밸리 12
 
2.2%
관양동 12
 
2.2%
미사테스타타워지식산업센터 10
 
1.8%
군포it밸리,703호,705호,803호 9
 
1.6%
905호906호909호 9
 
1.6%
고색동 9
 
1.6%
초지동 9
 
1.6%
호계동 8
 
1.4%
Other values (239) 437
78.7%
2023-12-11T06:35:28.309158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
326
 
9.4%
186
 
5.4%
170
 
4.9%
0 166
 
4.8%
( 164
 
4.7%
) 164
 
4.7%
1 92
 
2.6%
2 85
 
2.4%
3 75
 
2.2%
72
 
2.1%
Other values (216) 1976
56.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1930
55.5%
Decimal Number 692
 
19.9%
Space Separator 326
 
9.4%
Open Punctuation 164
 
4.7%
Close Punctuation 164
 
4.7%
Uppercase Letter 82
 
2.4%
Other Punctuation 54
 
1.6%
Lowercase Letter 35
 
1.0%
Math Symbol 20
 
0.6%
Dash Punctuation 9
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
186
 
9.6%
170
 
8.8%
72
 
3.7%
48
 
2.5%
47
 
2.4%
47
 
2.4%
41
 
2.1%
36
 
1.9%
36
 
1.9%
36
 
1.9%
Other values (171) 1211
62.7%
Uppercase Letter
ValueCountFrequency (%)
I 22
26.8%
T 15
18.3%
A 8
 
9.8%
W 6
 
7.3%
B 6
 
7.3%
K 5
 
6.1%
V 4
 
4.9%
S 4
 
4.9%
Z 3
 
3.7%
D 2
 
2.4%
Other values (7) 7
 
8.5%
Lowercase Letter
ValueCountFrequency (%)
n 8
22.9%
e 7
20.0%
i 6
17.1%
t 3
 
8.6%
r 3
 
8.6%
c 2
 
5.7%
b 2
 
5.7%
w 1
 
2.9%
j 1
 
2.9%
s 1
 
2.9%
Decimal Number
ValueCountFrequency (%)
0 166
24.0%
1 92
13.3%
2 85
12.3%
3 75
10.8%
5 62
 
9.0%
4 49
 
7.1%
7 45
 
6.5%
9 45
 
6.5%
6 40
 
5.8%
8 33
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 53
98.1%
& 1
 
1.9%
Space Separator
ValueCountFrequency (%)
326
100.0%
Open Punctuation
ValueCountFrequency (%)
( 164
100.0%
Close Punctuation
ValueCountFrequency (%)
) 164
100.0%
Math Symbol
ValueCountFrequency (%)
~ 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1930
55.5%
Common 1429
41.1%
Latin 117
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
186
 
9.6%
170
 
8.8%
72
 
3.7%
48
 
2.5%
47
 
2.4%
47
 
2.4%
41
 
2.1%
36
 
1.9%
36
 
1.9%
36
 
1.9%
Other values (171) 1211
62.7%
Latin
ValueCountFrequency (%)
I 22
18.8%
T 15
12.8%
A 8
 
6.8%
n 8
 
6.8%
e 7
 
6.0%
W 6
 
5.1%
i 6
 
5.1%
B 6
 
5.1%
K 5
 
4.3%
V 4
 
3.4%
Other values (18) 30
25.6%
Common
ValueCountFrequency (%)
326
22.8%
0 166
11.6%
( 164
11.5%
) 164
11.5%
1 92
 
6.4%
2 85
 
5.9%
3 75
 
5.2%
5 62
 
4.3%
, 53
 
3.7%
4 49
 
3.4%
Other values (7) 193
13.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1930
55.5%
ASCII 1546
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
326
21.1%
0 166
10.7%
( 164
10.6%
) 164
10.6%
1 92
 
6.0%
2 85
 
5.5%
3 75
 
4.9%
5 62
 
4.0%
, 53
 
3.4%
4 49
 
3.2%
Other values (35) 310
20.1%
Hangul
ValueCountFrequency (%)
186
 
9.6%
170
 
8.8%
72
 
3.7%
48
 
2.5%
47
 
2.4%
47
 
2.4%
41
 
2.1%
36
 
1.9%
36
 
1.9%
36
 
1.9%
Other values (171) 1211
62.7%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
<NA>
331 
0
281 

Length

Max length4
Median length4
Mean length2.622549
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 331
54.1%
0 281
45.9%

Length

2023-12-11T06:35:28.446268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:35:28.558154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 331
54.1%
0 281
45.9%

실험실도로명주소건물본번호
Real number (ℝ)

MISSING 

Distinct87
Distinct (%)31.0%
Missing331
Missing (%)54.1%
Infinite0
Infinite (%)0.0%
Mean110.88968
Minimum5
Maximum1260
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2023-12-11T06:35:28.662828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile12
Q117
median40
Q3127
95-th percentile415
Maximum1260
Range1255
Interquartile range (IQR)110

Descriptive statistics

Standard deviation158.60724
Coefficient of variation (CV)1.4303156
Kurtosis13.632155
Mean110.88968
Median Absolute Deviation (MAD)25
Skewness3.0530093
Sum31160
Variance25156.256
MonotonicityNot monotonic
2023-12-11T06:35:28.792379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 32
 
5.2%
15 29
 
4.7%
25 15
 
2.5%
17 12
 
2.0%
5 10
 
1.6%
16 9
 
1.5%
127 9
 
1.5%
64 8
 
1.3%
324 7
 
1.1%
27 5
 
0.8%
Other values (77) 145
23.7%
(Missing) 331
54.1%
ValueCountFrequency (%)
5 10
 
1.6%
9 1
 
0.2%
10 1
 
0.2%
11 2
 
0.3%
12 1
 
0.2%
13 2
 
0.3%
14 5
 
0.8%
15 29
4.7%
16 9
 
1.5%
17 12
2.0%
ValueCountFrequency (%)
1260 1
 
0.2%
982 1
 
0.2%
764 1
 
0.2%
660 1
 
0.2%
555 3
0.5%
531 1
 
0.2%
445 1
 
0.2%
425 5
0.8%
415 3
0.5%
355 3
0.5%

실험실도로명주소건물부번호
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)23.1%
Missing534
Missing (%)87.3%
Infinite0
Infinite (%)0.0%
Mean5.6794872
Minimum0
Maximum44
Zeros53
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2023-12-11T06:35:28.906930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile36.15
Maximum44
Range44
Interquartile range (IQR)4

Descriptive statistics

Standard deviation11.134938
Coefficient of variation (CV)1.9605534
Kurtosis3.4749095
Mean5.6794872
Median Absolute Deviation (MAD)0
Skewness2.0891943
Sum443
Variance123.98685
MonotonicityNot monotonic
2023-12-11T06:35:29.022672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 53
 
8.7%
15 4
 
0.7%
20 3
 
0.5%
4 3
 
0.5%
39 2
 
0.3%
1 1
 
0.2%
17 1
 
0.2%
12 1
 
0.2%
22 1
 
0.2%
36 1
 
0.2%
Other values (8) 8
 
1.3%
(Missing) 534
87.3%
ValueCountFrequency (%)
0 53
8.7%
1 1
 
0.2%
2 1
 
0.2%
3 1
 
0.2%
4 3
 
0.5%
5 1
 
0.2%
6 1
 
0.2%
12 1
 
0.2%
15 4
 
0.7%
16 1
 
0.2%
ValueCountFrequency (%)
44 1
 
0.2%
39 2
0.3%
37 1
 
0.2%
36 1
 
0.2%
32 1
 
0.2%
22 1
 
0.2%
20 3
0.5%
17 1
 
0.2%
16 1
 
0.2%
15 4
0.7%

실험실도로명주소우편번호
Real number (ℝ)

MISSING 

Distinct103
Distinct (%)36.7%
Missing331
Missing (%)54.1%
Infinite0
Infinite (%)0.0%
Mean69379.811
Minimum10047
Maximum482060
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2023-12-11T06:35:29.142698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10047
5-th percentile10071
Q114057
median15461
Q316968
95-th percentile423030
Maximum482060
Range472013
Interquartile range (IQR)2911

Descriptive statistics

Standard deviation140436.18
Coefficient of variation (CV)2.0241649
Kurtosis2.8403581
Mean69379.811
Median Absolute Deviation (MAD)1405
Skewness2.1931867
Sum19495727
Variance1.9722321 × 1010
MonotonicityNot monotonic
2023-12-11T06:35:29.338011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
423030 24
 
3.9%
16006 16
 
2.6%
437120 12
 
2.0%
12918 10
 
1.6%
15850 9
 
1.5%
10071 9
 
1.5%
15455 9
 
1.5%
15458 8
 
1.3%
14056 7
 
1.1%
17590 7
 
1.1%
Other values (93) 170
27.8%
(Missing) 331
54.1%
ValueCountFrequency (%)
10047 4
0.7%
10048 4
0.7%
10052 1
 
0.2%
10071 9
1.5%
10442 1
 
0.2%
10526 1
 
0.2%
10543 1
 
0.2%
10550 1
 
0.2%
11168 1
 
0.2%
11610 1
 
0.2%
ValueCountFrequency (%)
482060 1
 
0.2%
437120 12
2.0%
423030 24
3.9%
18623 1
 
0.2%
18617 1
 
0.2%
18589 1
 
0.2%
18542 1
 
0.2%
18469 3
 
0.5%
18343 1
 
0.2%
18284 1
 
0.2%

실험실도로명시군구정보
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)11.7%
Missing331
Missing (%)54.1%
Infinite0
Infinite (%)0.0%
Mean41318.302
Minimum41111
Maximum41650
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2023-12-11T06:35:29.536363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41111
5-th percentile41117
Q141190
median41273
Q341430
95-th percentile41570
Maximum41650
Range539
Interquartile range (IQR)240

Descriptive statistics

Standard deviation146.84955
Coefficient of variation (CV)0.0035541041
Kurtosis-1.0036446
Mean41318.302
Median Absolute Deviation (MAD)102
Skewness0.40612222
Sum11610443
Variance21564.79
MonotonicityNot monotonic
2023-12-11T06:35:29.739934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
41273 46
 
7.5%
41430 28
 
4.6%
41173 26
 
4.2%
41210 24
 
3.9%
41570 18
 
2.9%
41113 11
 
1.8%
41550 11
 
1.8%
41410 11
 
1.8%
41190 10
 
1.6%
41450 10
 
1.6%
Other values (23) 86
 
14.1%
(Missing) 331
54.1%
ValueCountFrequency (%)
41111 2
 
0.3%
41113 11
1.8%
41115 1
 
0.2%
41117 6
 
1.0%
41131 2
 
0.3%
41133 7
 
1.1%
41135 3
 
0.5%
41150 3
 
0.5%
41171 5
 
0.8%
41173 26
4.2%
ValueCountFrequency (%)
41650 1
 
0.2%
41630 1
 
0.2%
41590 9
 
1.5%
41570 18
2.9%
41550 11
 
1.8%
41465 2
 
0.3%
41463 6
 
1.0%
41461 1
 
0.2%
41450 10
 
1.6%
41430 28
4.6%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값실험실면적정보사업장구분명정보영업소면적실험실지역코드실험실우편번호실험실산명실험실번지실험실호정보실험실통정보실험실반정보실험실특수주소실험실특수동주소실험실특수호주소실험실도로명주소읍면동정보실험실도로명주소읍면동명실험실도로명주소정보실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호실험실도로명시군구정보
0가평군(주)일진환경건설20070109<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 연인2길 13-15경기도 가평군 가평읍 읍내리 468-34번지47780137.829383127.512477<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>
1고양시(주)지렉트코퍼레이션2018-12-31<NA>BBBB영업<NA><NA><NA>10526경기도 고양시 덕양구 충장로 22, 탑프라자 806호 (행신동)경기도 고양시 덕양구 행신동 761-3번지 탑프라자 806호1052637.614801126.834452<NA>185316.605456953.6150.0측정대행업04128112800<NA>17613<NA><NA>탑프라자<NA><NA>412811280013192095탑프라자 806호 (행신동)022<NA>1052641281
2고양시실내공기질연구소 (I-LAB)2021-11-22<NA>BBBB영업<NA>0319458966<NA>10550경기도 고양시 덕양구 삼원로 73, 한일윈스타 지식산업센터 1123호 (원흥동)경기도 고양시 덕양구 원흥동 705번지 한일윈스타지식산업센터 1123호1055037.639134126.875163<NA>188913.048542459643.36755823.0측정대행업04128110400<NA>1705<NA><NA><NA><NA><NA><NA>412811040013194065한일윈스타 지식산업센터 (원흥동)073<NA>1055041281
3고양시(주)대한환경분석기관2023-06-14<NA>BBBB영업<NA><NA><NA><NA>경기도 고양시 덕양구 청초로 66, 601호 (덕은동)경기도 고양시 덕양구 덕은동 601호1054337.578037126.862492<NA><NA><NA>0.0측정대행업04128113100<NA>10<NA><NA><NA><NA><NA><NA>412811310013352415덕은리버워크 지식산업센터 601호 (덕은동)066<NA>1054341281
4고양시(주)새롬환경기술2022-05-17<NA>BBBB영업<NA>0319380641<NA>10442경기도 고양시 일산동구 일산로 138, 일산테크노타운 504호 (백석동)경기도 고양시 일산동구 백석동 1141-1번지 일산테크노타운 504호1044237.650785126.794625<NA>181835.358339460894.7423440.0측정대행업04128510600<NA>111411<NA><NA>일산테크노타운<NA><NA>412851060013193028일산테크노타운 504호 (백석동)0138<NA>1044241285
5고양시한국RMS(주)20121227<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 충장로 52 (행신동)경기도 고양시 덕양구 행신동 745번지41222037.617442126.834485<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>
6고양시세계이엔진(주)20111014<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 은마길79번길 128-40 (설문동)경기도 고양시 일산동구 설문동 490번지41055037.719395126.802428<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>
7고양시세계엔지니어링20070411<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 탄중로 311-16 (중산동)경기도 고양시 일산동구 중산동 1560-3번지41031537.694204126.780149<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>
8고양시한국산업기술인증원(주)20171024<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 백마로 195, 11층 (장항동,sk엠시티오피스)경기도 고양시 일산동구 장항동 869번지 sk엠시티오피스 11층1040337.654822126.770768<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>
9고양시(주)지렉트코퍼레이션20170929<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 충장로 22, 806호 (행신동)경기도 고양시 덕양구 행신동 761-3번지 탑프라자 806호1052637.614801126.834452<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>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값실험실면적정보사업장구분명정보영업소면적실험실지역코드실험실우편번호실험실산명실험실번지실험실호정보실험실통정보실험실반정보실험실특수주소실험실특수동주소실험실특수호주소실험실도로명주소읍면동정보실험실도로명주소읍면동명실험실도로명주소정보실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호실험실도로명시군구정보
602화성시KD환경20180829<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 비봉면 현대기아로830번길 25-22, B동 1,2층경기도 화성시 비봉면 양노리 715번지 B동 1,2층1828437.223285126.859043<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>
603화성시(주)다원환경기술20180322<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 매송면 매송고색로 366경기도 화성시 매송면 천천리 329-11번지44583337.243399126.945418<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>
604화성시주흥환경(주)20180821<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 병점동로164번길 39, 201호 (진안동)경기도 화성시 진안동 859-1번지 201호1839237.215814127.039596<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>
605화성시주식회사 이앤20180807<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 향남읍 상신하길로135번길 10-53경기도 화성시 향남읍 상신리 1283-6번지1861737.106785126.899765<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>
606화성시(주)호산필텍20170718<NA><NA>운영중<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><NA><NA><NA><NA><NA><NA><NA><NA>
607화성시(주)에스아이디 어코스틱20160215<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 제약단지로 13-3경기도 화성시 향남읍 하길리 1403-5번지44593837.091547126.911599<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>
608화성시유니슨엔지니어링(주)20180314<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 마도면 마도공단로1길 96경기도 화성시 마도면 쌍송리 675-9번지1854237.180915126.793205<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>
609화성시다원환경기술20150226<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 매송면 매송고색로 366경기도 화성시 매송면 천천리 329-11번지44583337.243399126.945418<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>
610<NA>한국에스지에스(주)2019-03-26<NA>BBBB영업<NA>031-460-8006<NA>04322서울특별시 용산구 한강대로 257, 청룡빌딩 (갈월동)서울특별시 용산구 갈월동 98-38번지 청룡빌딩0432237.541246126.97256<NA>197492.006217448773.777810.0측정대행업04117310400<NA>15559<NA><NA>국제유통단지 가동<NA>322411731040013182030디오밸리 322호 (호계동)076<NA>1411741173
611<NA>주식회사 켐토피아2018-12-31<NA>4폐쇄2022-07-1202-826-9100<NA><NA>서울특별시 구로구 디지털로33길 48, 대륭포스트타워7차 1203~1206호 (구로동)서울특별시 구로구 구로동 170-10번지 대륭포스트타워7차 1203동 1206호0837737.48725126.894495<NA>190609.413675442782.03055534.0측정대행업04119011400<NA>13823<NA><NA>3층<NA><NA>4119011400143552883층 (송내동)093<NA>1472641190

Duplicate rows

Most frequently occurring

시군명사업장명인허가일자영업상태구분코드영업상태명폐업일자소재지시설전화번호도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값실험실면적정보사업장구분명정보영업소면적실험실지역코드실험실우편번호실험실산명실험실번지실험실호정보실험실특수주소실험실특수동주소실험실특수호주소실험실도로명주소읍면동정보실험실도로명주소읍면동명실험실도로명주소정보실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호실험실도로명시군구정보# duplicates
1광명시(주)한솔환경산업2023-06-14N신규<NA><NA>423-030경기도 광명시 안양천로502번길 15, 603호 (철산동,광명테크노타운)경기도 광명시 철산동 626-3번지 광명테크노타운 603호423-03037.492766126.8685<NA>188306.507377443404.3610620.0측정대행업0412101020042303016263광명테크노타운<NA>603412101020014361198광명테크노타운015<NA>423030412104
21의왕시(주)영진환경테크2023-08-18N신규<NA><NA>437-120경기도 의왕시 이미로 40, C동 417호 (포일동,인덕원아이티밸리)경기도 의왕시 포일동 653번지 인덕원아이티밸리 C동 417호437-12037.401797126.991018<NA>199121.920451433212.8289110.0측정대행업041430109004371201653<NA>인덕원아이티밸리C417414301090013201052인덕원아이티밸리040<NA>437120414304
0광명시(주)한솔환경산업2023-05-10N신규<NA><NA>423-030경기도 광명시 안양천로502번길 15, 603호 (철산동,광명테크노타운)경기도 광명시 철산동 626-3번지 광명테크노타운 603호423-03037.492766126.8685<NA>188306.507377443404.3610620.0측정대행업0412101020042303016263광명테크노타운<NA>603412101020014361198광명테크노타운015<NA>423030412103
4광명시(주)한솔환경산업2023-09-14N신규<NA><NA>423-030경기도 광명시 안양천로502번길 15, 603호 (철산동,광명테크노타운)경기도 광명시 철산동 626-3번지 광명테크노타운 603호423-03037.492766126.8685<NA>188306.507377443404.3610620.0측정대행업0412101020042303016263광명테크노타운<NA>603412101020014361198광명테크노타운015<NA>423030412103
9군포시자연과환경 주식회사2023-06-30N신규<NA><NA><NA>경기도 군포시 고산로 166, SK벤티움 102동 404호 (당정동)경기도 군포시 당정동 522번지 SK벤티움 102동 404호1585037.348425126.952516<NA><NA><NA>0.0측정대행업0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3
12군포시주식회사비앤지기술연구소2023-05-03N신규<NA><NA><NA>경기도 군포시 엘에스로182번길 3-15, 402호 (산본동,우경타워)경기도 군포시 산본동 18-14번지 우경타워 402호1580737.376791126.942619<NA><NA><NA>0.0측정대행업0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3
17안산시(주)하이텍환경2019-01-04BBBB영업<NA>431485015656경기도 안산시 단원구 엠티브이10로10번길 5 (성곡동)경기도 안산시 단원구 성곡동 802번지1565637.305861126.741563<NA>177030.533762422661.0399480.0측정대행업04127310400<NA>1802<NA><NA><NA><NA>4127310400143735051,2층 (성곡동)05<NA>15656412733
23의왕시한국환경기술개발(주)2023-05-11N신규<NA><NA>16006경기도 의왕시 이미로 40, 인덕원IT밸리 D동 510호 (포일동)경기도 의왕시 포일동 653번지 인덕원IT밸리 D동 510호1600637.401797126.991018<NA>199121.920451433212.8289110.0측정대행업0<NA><NA><NA><NA><NA><NA><NA><NA>414301090013201052<NA>040<NA>16006414303
25의왕시한국환경기술개발(주)2023-08-11N신규<NA><NA>16006경기도 의왕시 이미로 40, 인덕원IT밸리 D동 510호 (포일동)경기도 의왕시 포일동 653번지 인덕원IT밸리 D동 510호1600637.401797126.991018<NA>199121.920451433212.8289110.0측정대행업0<NA><NA><NA><NA><NA><NA><NA><NA>414301090013201052<NA>040<NA>16006414303
28하남시미령환경개발(주)2023-05-08N신규<NA><NA>12918경기도 하남시 미사강변서로 25, 미사테스타타워지식산업센터 839,840호 (풍산동)경기도 하남시 풍산동 489번지 미사테스타타워지식산업센터 839,840호1291837.552652127.182717<NA>216038.56618450059.2492050.0측정대행업041450110001291804890미사테스타타워지식산업센터<NA>839,940414501100013202057미사테스타타워지식산업센터025012918414503