Overview

Dataset statistics

Number of variables40
Number of observations508
Missing cells6922
Missing cells (%)34.1%
Duplicate rows3
Duplicate rows (%)0.6%
Total size in memory171.8 KiB
Average record size in memory346.3 B

Variable types

Categorical11
Text7
DateTime1
Unsupported6
Numeric15

Dataset

Description환경관리 대행기관 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=E09KNGN9SP04231L678X61408&infSeq=1

Alerts

사업장구분명정보 has constant value ""Constant
Dataset has 3 (0.6%) duplicate rowsDuplicates
영업상태구분코드 is highly imbalanced (67.7%)Imbalance
영업상태명 is highly imbalanced (67.7%)Imbalance
폐업일자 is highly imbalanced (95.1%)Imbalance
실험실특수동주소 is highly imbalanced (86.9%)Imbalance
실험실특수호주소 is highly imbalanced (61.5%)Imbalance
인허가취소일자 has 508 (100.0%) missing valuesMissing
소재지시설전화번호 has 508 (100.0%) missing valuesMissing
소재지면적정보 has 508 (100.0%) missing valuesMissing
도로명우편번호 has 102 (20.1%) missing valuesMissing
소재지지번주소 has 6 (1.2%) missing valuesMissing
소재지우편번호 has 6 (1.2%) missing valuesMissing
업태구분명정보 has 508 (100.0%) missing valuesMissing
X좌표값 has 138 (27.2%) missing valuesMissing
Y좌표값 has 138 (27.2%) missing valuesMissing
실험실면적정보 has 191 (37.6%) missing valuesMissing
실험실지역코드 has 265 (52.2%) missing valuesMissing
실험실우편번호 has 269 (53.0%) missing valuesMissing
실험실번지 has 265 (52.2%) missing valuesMissing
실험실호정보 has 313 (61.6%) missing valuesMissing
실험실통정보 has 508 (100.0%) missing valuesMissing
실험실반정보 has 508 (100.0%) missing valuesMissing
실험실특수주소 has 363 (71.5%) missing valuesMissing
실험실도로명주소읍면동정보 has 216 (42.5%) missing valuesMissing
실험실도로명주소정보 has 216 (42.5%) missing valuesMissing
실험실도로명특수주소 has 343 (67.5%) missing valuesMissing
실험실도로명주소건물본번호 has 216 (42.5%) missing valuesMissing
실험실도로명주소건물부번호 has 385 (75.8%) missing valuesMissing
실험실도로명주소우편번호 has 216 (42.5%) missing valuesMissing
실험실도로명시군구정보 has 216 (42.5%) 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
실험실면적정보 has 298 (58.7%) zerosZeros
실험실호정보 has 21 (4.1%) zerosZeros
실험실도로명주소건물부번호 has 76 (15.0%) zerosZeros

Reproduction

Analysis started2023-12-10 21:57:24.061800
Analysis finished2023-12-10 21:57:25.080479
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct30
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
안산시
101 
안양시
74 
성남시
35 
의정부시
32 
화성시
32 
Other values (25)
234 

Length

Max length4
Median length3
Mean length3.1043307
Min length3

Unique

Unique3 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
안산시 101
19.9%
안양시 74
14.6%
성남시 35
 
6.9%
의정부시 32
 
6.3%
화성시 32
 
6.3%
용인시 31
 
6.1%
수원시 29
 
5.7%
시흥시 21
 
4.1%
파주시 17
 
3.3%
남양주시 15
 
3.0%
Other values (20) 121
23.8%

Length

2023-12-11T06:57:25.139891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안산시 101
19.9%
안양시 74
14.6%
성남시 35
 
6.9%
의정부시 32
 
6.3%
화성시 32
 
6.3%
용인시 31
 
6.1%
수원시 29
 
5.7%
시흥시 21
 
4.1%
파주시 17
 
3.3%
남양주시 15
 
3.0%
Other values (20) 121
23.8%

사업장명
Text

Distinct273
Distinct (%)53.7%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-11T06:57:25.337133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length8.265748
Min length4

Characters and Unicode

Total characters4199
Distinct characters213
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique154 ?
Unique (%)30.3%

Sample

1st row삼보환경기술㈜
2nd row우주환경(주)
3rd row하이테크환경(주)
4th row(주)새롬환경기술
5th row(주)뉴엔텍
ValueCountFrequency (%)
주식회사 36
 
6.5%
주)한국환경연구소 12
 
2.2%
우림환경산업(주 10
 
1.8%
혜성크린텍크(주 9
 
1.6%
주)이앤피 8
 
1.4%
케이비엔텍(주 7
 
1.3%
나우개발(주 7
 
1.3%
청록엔지니어링㈜ 7
 
1.3%
인바이오텍(주 6
 
1.1%
코스모이엔텍(주 6
 
1.1%
Other values (268) 446
80.5%
2023-12-11T06:57:25.662841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 391
 
9.3%
) 331
 
7.9%
( 330
 
7.9%
경 222
 
5.3%
환 221
 
5.3%
이 148
 
3.5%
엔 113
 
2.7%
㈜ 82
 
2.0%
텍 78
 
1.9%
지 76
 
1.8%
Other values (203) 2207
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3307
78.8%
Close Punctuation 331
 
7.9%
Open Punctuation 330
 
7.9%
Other Symbol 82
 
2.0%
Uppercase Letter 52
 
1.2%
Space Separator 47
 
1.1%
Dash Punctuation 28
 
0.7%
Lowercase Letter 12
 
0.3%
Decimal Number 10
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 391
 
11.8%
경 222
 
6.7%
환 221
 
6.7%
이 148
 
4.5%
엔 113
 
3.4%
텍 78
 
2.4%
지 76
 
2.3%
사 55
 
1.7%
코 51
 
1.5%
회 50
 
1.5%
Other values (180) 1902
57.5%
Uppercase Letter
ValueCountFrequency (%)
N 11
21.2%
E 10
19.2%
C 8
15.4%
T 6
11.5%
V 5
9.6%
H 4
 
7.7%
S 3
 
5.8%
K 2
 
3.8%
D 2
 
3.8%
G 1
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
p 2
16.7%
a 2
16.7%
l 2
16.7%
n 2
16.7%
u 2
16.7%
e 2
16.7%
Decimal Number
ValueCountFrequency (%)
5 5
50.0%
8 5
50.0%
Close Punctuation
ValueCountFrequency (%)
) 331
100.0%
Open Punctuation
ValueCountFrequency (%)
( 330
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 82
100.0%
Space Separator
ValueCountFrequency (%)
47
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3389
80.7%
Common 746
 
17.8%
Latin 64
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 391
 
11.5%
경 222
 
6.6%
환 221
 
6.5%
이 148
 
4.4%
엔 113
 
3.3%
㈜ 82
 
2.4%
텍 78
 
2.3%
지 76
 
2.2%
사 55
 
1.6%
코 51
 
1.5%
Other values (181) 1952
57.6%
Latin
ValueCountFrequency (%)
N 11
17.2%
E 10
15.6%
C 8
12.5%
T 6
9.4%
V 5
7.8%
H 4
 
6.2%
S 3
 
4.7%
p 2
 
3.1%
K 2
 
3.1%
D 2
 
3.1%
Other values (6) 11
17.2%
Common
ValueCountFrequency (%)
) 331
44.4%
( 330
44.2%
47
 
6.3%
- 28
 
3.8%
5 5
 
0.7%
8 5
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3307
78.8%
ASCII 810
 
19.3%
None 82
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 391
 
11.8%
경 222
 
6.7%
환 221
 
6.7%
이 148
 
4.5%
엔 113
 
3.4%
텍 78
 
2.4%
지 76
 
2.3%
사 55
 
1.7%
코 51
 
1.5%
회 50
 
1.5%
Other values (180) 1902
57.5%
ASCII
ValueCountFrequency (%)
) 331
40.9%
( 330
40.7%
47
 
5.8%
- 28
 
3.5%
N 11
 
1.4%
E 10
 
1.2%
C 8
 
1.0%
T 6
 
0.7%
5 5
 
0.6%
8 5
 
0.6%
Other values (12) 29
 
3.6%
None
ValueCountFrequency (%)
㈜ 82
100.0%

인허가일자
Date

Distinct396
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum2013-07-10 00:00:00
Maximum2023-12-05 00:00:00
2023-12-11T06:57:25.793936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:57:25.909011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing508
Missing (%)100.0%
Memory size4.6 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
N
460 
S
 
40
Q
 
8

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 460
90.6%
S 40
 
7.9%
Q 8
 
1.6%

Length

2023-12-11T06:57:26.035202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:57:26.136258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 460
90.6%
s 40
 
7.9%
q 8
 
1.6%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
신규
460 
휴업
 
40
폐업
 
8

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 460
90.6%
휴업 40
 
7.9%
폐업 8
 
1.6%

Length

2023-12-11T06:57:26.228087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:57:26.310367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신규 460
90.6%
휴업 40
 
7.9%
폐업 8
 
1.6%

폐업일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
502 
20210526
 
3
20220421
 
1
20220615
 
1
20211111
 
1

Length

Max length8
Median length4
Mean length4.0472441
Min length4

Unique

Unique3 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 502
98.8%
20210526 3
 
0.6%
20220421 1
 
0.2%
20220615 1
 
0.2%
20211111 1
 
0.2%

Length

2023-12-11T06:57:26.404850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:57:26.504411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 502
98.8%
20210526 3
 
0.6%
20220421 1
 
0.2%
20220615 1
 
0.2%
20211111 1
 
0.2%

소재지시설전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing508
Missing (%)100.0%
Memory size4.6 KiB

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing508
Missing (%)100.0%
Memory size4.6 KiB

도로명우편번호
Text

MISSING 

Distinct200
Distinct (%)49.3%
Missing102
Missing (%)20.1%
Memory size4.1 KiB
2023-12-11T06:57:26.843889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.5221675
Min length5

Characters and Unicode

Total characters2242
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

Unique111 ?
Unique (%)27.3%

Sample

1st row10460
2nd row10442
3rd row10550
4th row10460
5th row10442
ValueCountFrequency (%)
11685 11
 
2.7%
431767 11
 
2.7%
431-837 9
 
2.2%
16589 8
 
2.0%
425809 8
 
2.0%
15434 7
 
1.7%
431837 7
 
1.7%
11610 6
 
1.5%
11757 6
 
1.5%
425807 6
 
1.5%
Other values (190) 327
80.5%
2023-12-11T06:57:27.306272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 427
19.0%
4 332
14.8%
5 239
10.7%
8 199
8.9%
6 193
8.6%
3 193
8.6%
0 188
8.4%
2 176
7.9%
7 157
 
7.0%
9 97
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2201
98.2%
Dash Punctuation 41
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 427
19.4%
4 332
15.1%
5 239
10.9%
8 199
9.0%
6 193
8.8%
3 193
8.8%
0 188
8.5%
2 176
8.0%
7 157
 
7.1%
9 97
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2242
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 427
19.0%
4 332
14.8%
5 239
10.7%
8 199
8.9%
6 193
8.6%
3 193
8.6%
0 188
8.4%
2 176
7.9%
7 157
 
7.0%
9 97
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2242
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 427
19.0%
4 332
14.8%
5 239
10.7%
8 199
8.9%
6 193
8.6%
3 193
8.6%
0 188
8.4%
2 176
7.9%
7 157
 
7.0%
9 97
 
4.3%

소재지도로명주소
Text

Distinct284
Distinct (%)55.9%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-11T06:57:27.507875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length44
Mean length33.177165
Min length11

Characters and Unicode

Total characters16854
Distinct characters336
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique176 ?
Unique (%)34.6%

Sample

1st row경기도 가평군 가평읍 태평길 20, 3층
2nd row경기도 고양시 덕양구 고양시청로 13-2, 성광빌딩 108호 (주교동)
3rd row고양시 덕양구 서오릉로 532 (용두동)
4th row경기도 고양시 일산동구 일산로 138, 일산테크노타운 504호(백석동)
5th row경기도 고양시 덕양구 삼원로 83, 광양프런티어밸리6차 821호(원흥동)
ValueCountFrequency (%)
경기도 469
 
13.9%
안산시 101
 
3.0%
단원구 90
 
2.7%
안양시 74
 
2.2%
동안구 65
 
1.9%
성남시 35
 
1.0%
화성시 32
 
0.9%
의정부시 32
 
0.9%
용인시 31
 
0.9%
2층 29
 
0.9%
Other values (829) 2418
71.6%
2023-12-11T06:57:27.860216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2868
 
17.0%
동 638
 
3.8%
시 561
 
3.3%
1 530
 
3.1%
, 528
 
3.1%
기 507
 
3.0%
경 492
 
2.9%
로 484
 
2.9%
도 476
 
2.8%
2 421
 
2.5%
Other values (326) 9349
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9466
56.2%
Decimal Number 2927
 
17.4%
Space Separator 2868
 
17.0%
Other Punctuation 530
 
3.1%
Close Punctuation 413
 
2.5%
Open Punctuation 413
 
2.5%
Uppercase Letter 99
 
0.6%
Dash Punctuation 98
 
0.6%
Lowercase Letter 27
 
0.2%
Math Symbol 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 638
 
6.7%
시 561
 
5.9%
기 507
 
5.4%
경 492
 
5.2%
로 484
 
5.1%
도 476
 
5.0%
호 332
 
3.5%
구 301
 
3.2%
안 297
 
3.1%
원 231
 
2.4%
Other values (284) 5147
54.4%
Uppercase Letter
ValueCountFrequency (%)
I 19
19.2%
B 17
17.2%
T 15
15.2%
A 10
10.1%
S 9
9.1%
K 9
9.1%
V 4
 
4.0%
D 4
 
4.0%
E 3
 
3.0%
M 2
 
2.0%
Other values (6) 7
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 530
18.1%
2 421
14.4%
0 386
13.2%
3 293
10.0%
4 287
9.8%
6 278
9.5%
5 263
9.0%
8 162
 
5.5%
9 158
 
5.4%
7 149
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
e 8
29.6%
n 7
25.9%
c 3
 
11.1%
t 3
 
11.1%
r 3
 
11.1%
f 1
 
3.7%
a 1
 
3.7%
k 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 528
99.6%
& 2
 
0.4%
Space Separator
ValueCountFrequency (%)
2868
100.0%
Close Punctuation
ValueCountFrequency (%)
) 413
100.0%
Open Punctuation
ValueCountFrequency (%)
( 413
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9466
56.2%
Common 7262
43.1%
Latin 126
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 638
 
6.7%
시 561
 
5.9%
기 507
 
5.4%
경 492
 
5.2%
로 484
 
5.1%
도 476
 
5.0%
호 332
 
3.5%
구 301
 
3.2%
안 297
 
3.1%
원 231
 
2.4%
Other values (284) 5147
54.4%
Latin
ValueCountFrequency (%)
I 19
15.1%
B 17
13.5%
T 15
11.9%
A 10
7.9%
S 9
 
7.1%
K 9
 
7.1%
e 8
 
6.3%
n 7
 
5.6%
V 4
 
3.2%
D 4
 
3.2%
Other values (14) 24
19.0%
Common
ValueCountFrequency (%)
2868
39.5%
1 530
 
7.3%
, 528
 
7.3%
2 421
 
5.8%
) 413
 
5.7%
( 413
 
5.7%
0 386
 
5.3%
3 293
 
4.0%
4 287
 
4.0%
6 278
 
3.8%
Other values (8) 845
 
11.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9466
56.2%
ASCII 7388
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2868
38.8%
1 530
 
7.2%
, 528
 
7.1%
2 421
 
5.7%
) 413
 
5.6%
( 413
 
5.6%
0 386
 
5.2%
3 293
 
4.0%
4 287
 
3.9%
6 278
 
3.8%
Other values (32) 971
 
13.1%
Hangul
ValueCountFrequency (%)
동 638
 
6.7%
시 561
 
5.9%
기 507
 
5.4%
경 492
 
5.2%
로 484
 
5.1%
도 476
 
5.0%
호 332
 
3.5%
구 301
 
3.2%
안 297
 
3.1%
원 231
 
2.4%
Other values (284) 5147
54.4%

소재지지번주소
Text

MISSING 

Distinct284
Distinct (%)56.6%
Missing6
Missing (%)1.2%
Memory size4.1 KiB
2023-12-11T06:57:28.092358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40
Mean length28.59761
Min length15

Characters and Unicode

Total characters14356
Distinct characters293
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

Unique174 ?
Unique (%)34.7%

Sample

1st row경기도 가평군 가평읍 읍내리 357번지
2nd row경기도 고양시 덕양구 주교동 602번지 성광빌딩 108호
3rd row경기도 고양시 덕양구 용두동 436-6번지
4th row경기도 고양시 일산동구 백석동 1141-1 일산테크노타운 504호
5th row경기도 고양시 덕양구 원흥동 706번지 광양프런티어밸리6차 821호
ValueCountFrequency (%)
경기도 500
 
16.2%
안산시 94
 
3.0%
단원구 83
 
2.7%
안양시 67
 
2.2%
동안구 58
 
1.9%
고잔동 38
 
1.2%
화성시 32
 
1.0%
의정부시 32
 
1.0%
성남시 32
 
1.0%
용인시 31
 
1.0%
Other values (740) 2117
68.6%
2023-12-11T06:57:28.725370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2646
 
18.4%
1 621
 
4.3%
동 602
 
4.2%
시 550
 
3.8%
기 519
 
3.6%
도 504
 
3.5%
경 503
 
3.5%
호 383
 
2.7%
지 367
 
2.6%
0 354
 
2.5%
Other values (283) 7307
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8341
58.1%
Decimal Number 2926
 
20.4%
Space Separator 2646
 
18.4%
Dash Punctuation 270
 
1.9%
Uppercase Letter 102
 
0.7%
Lowercase Letter 30
 
0.2%
Other Punctuation 17
 
0.1%
Math Symbol 12
 
0.1%
Open Punctuation 6
 
< 0.1%
Close Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 602
 
7.2%
시 550
 
6.6%
기 519
 
6.2%
도 504
 
6.0%
경 503
 
6.0%
호 383
 
4.6%
지 367
 
4.4%
번 326
 
3.9%
구 286
 
3.4%
안 272
 
3.3%
Other values (242) 4029
48.3%
Uppercase Letter
ValueCountFrequency (%)
I 20
19.6%
B 17
16.7%
T 15
14.7%
A 10
9.8%
K 9
8.8%
S 9
8.8%
D 5
 
4.9%
V 4
 
3.9%
M 3
 
2.9%
C 2
 
2.0%
Other values (6) 8
 
7.8%
Decimal Number
ValueCountFrequency (%)
1 621
21.2%
0 354
12.1%
2 354
12.1%
4 309
10.6%
7 268
9.2%
5 254
8.7%
3 230
 
7.9%
6 208
 
7.1%
9 189
 
6.5%
8 139
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
e 11
36.7%
n 7
23.3%
c 3
 
10.0%
t 3
 
10.0%
r 3
 
10.0%
f 1
 
3.3%
a 1
 
3.3%
k 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 15
88.2%
& 2
 
11.8%
Space Separator
ValueCountFrequency (%)
2646
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 270
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8341
58.1%
Common 5883
41.0%
Latin 132
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 602
 
7.2%
시 550
 
6.6%
기 519
 
6.2%
도 504
 
6.0%
경 503
 
6.0%
호 383
 
4.6%
지 367
 
4.4%
번 326
 
3.9%
구 286
 
3.4%
안 272
 
3.3%
Other values (242) 4029
48.3%
Latin
ValueCountFrequency (%)
I 20
15.2%
B 17
12.9%
T 15
11.4%
e 11
8.3%
A 10
 
7.6%
K 9
 
6.8%
S 9
 
6.8%
n 7
 
5.3%
D 5
 
3.8%
V 4
 
3.0%
Other values (14) 25
18.9%
Common
ValueCountFrequency (%)
2646
45.0%
1 621
 
10.6%
0 354
 
6.0%
2 354
 
6.0%
4 309
 
5.3%
- 270
 
4.6%
7 268
 
4.6%
5 254
 
4.3%
3 230
 
3.9%
6 208
 
3.5%
Other values (7) 369
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8341
58.1%
ASCII 6015
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2646
44.0%
1 621
 
10.3%
0 354
 
5.9%
2 354
 
5.9%
4 309
 
5.1%
- 270
 
4.5%
7 268
 
4.5%
5 254
 
4.2%
3 230
 
3.8%
6 208
 
3.5%
Other values (31) 501
 
8.3%
Hangul
ValueCountFrequency (%)
동 602
 
7.2%
시 550
 
6.6%
기 519
 
6.2%
도 504
 
6.0%
경 503
 
6.0%
호 383
 
4.6%
지 367
 
4.4%
번 326
 
3.9%
구 286
 
3.4%
안 272
 
3.3%
Other values (242) 4029
48.3%

소재지우편번호
Text

MISSING 

Distinct239
Distinct (%)47.6%
Missing6
Missing (%)1.2%
Memory size4.1 KiB
2023-12-11T06:57:29.161422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3446215
Min length5

Characters and Unicode

Total characters2683
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

Unique125 ?
Unique (%)24.9%

Sample

1st row12419
2nd row10460
3rd row10548
4th row10442
5th row10550
ValueCountFrequency (%)
14079 12
 
2.4%
431767 11
 
2.2%
11685 11
 
2.2%
10860 8
 
1.6%
425809 8
 
1.6%
16589 8
 
1.6%
15434 7
 
1.4%
14059 6
 
1.2%
11610 6
 
1.2%
425807 6
 
1.2%
Other values (229) 419
83.5%
2023-12-11T06:57:29.674456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 584
21.8%
4 369
13.8%
5 277
10.3%
0 237
8.8%
8 231
 
8.6%
6 230
 
8.6%
3 202
 
7.5%
2 202
 
7.5%
7 192
 
7.2%
9 129
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2653
98.9%
Dash Punctuation 30
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 584
22.0%
4 369
13.9%
5 277
10.4%
0 237
8.9%
8 231
 
8.7%
6 230
 
8.7%
3 202
 
7.6%
2 202
 
7.6%
7 192
 
7.2%
9 129
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2683
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 584
21.8%
4 369
13.8%
5 277
10.3%
0 237
8.8%
8 231
 
8.6%
6 230
 
8.6%
3 202
 
7.5%
2 202
 
7.5%
7 192
 
7.2%
9 129
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2683
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 584
21.8%
4 369
13.8%
5 277
10.3%
0 237
8.8%
8 231
 
8.6%
6 230
 
8.6%
3 202
 
7.5%
2 202
 
7.5%
7 192
 
7.2%
9 129
 
4.8%

WGS84위도
Real number (ℝ)

Distinct284
Distinct (%)56.5%
Missing5
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean37.414551
Minimum36.974959
Maximum37.96078
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T06:57:29.847844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.974959
5-th percentile37.132335
Q137.303107
median37.374994
Q337.503708
95-th percentile37.811077
Maximum37.96078
Range0.98582086
Interquartile range (IQR)0.20060062

Descriptive statistics

Standard deviation0.20378584
Coefficient of variation (CV)0.0054467002
Kurtosis-0.052875233
Mean37.414551
Median Absolute Deviation (MAD)0.084587287
Skewness0.64194254
Sum18819.519
Variance0.041528671
MonotonicityNot monotonic
2023-12-11T06:57:30.252069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.383835995 15
 
3.0%
37.4015310331 14
 
2.8%
37.7723413041 8
 
1.6%
37.3032474513 8
 
1.6%
37.2520884081 8
 
1.6%
37.3703754224 6
 
1.2%
37.7596839502 6
 
1.2%
37.7514317243 6
 
1.2%
37.1938288078 5
 
1.0%
37.3131992 5
 
1.0%
Other values (274) 422
83.1%
ValueCountFrequency (%)
36.9749590885 1
 
0.2%
36.9847686781 1
 
0.2%
36.9863672621 1
 
0.2%
36.9875231473 1
 
0.2%
36.9876094041 3
0.6%
36.9903601 1
 
0.2%
37.0062771 1
 
0.2%
37.0064382 1
 
0.2%
37.0174611299 1
 
0.2%
37.0184065 1
 
0.2%
ValueCountFrequency (%)
37.9607799531 4
0.8%
37.8733232192 1
 
0.2%
37.8702168 2
0.4%
37.8567182245 1
 
0.2%
37.8506982427 1
 
0.2%
37.8461447 1
 
0.2%
37.8427044805 1
 
0.2%
37.8336444 2
0.4%
37.8277597876 1
 
0.2%
37.8193240518 1
 
0.2%

WGS84경도
Real number (ℝ)

Distinct284
Distinct (%)56.5%
Missing5
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean126.97475
Minimum126.5389
Maximum127.62983
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T06:57:30.386633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.5389
5-th percentile126.73814
Q1126.8293
median126.96757
Q3127.09552
95-th percentile127.21387
Maximum127.62983
Range1.0909293
Interquartile range (IQR)0.26622008

Descriptive statistics

Standard deviation0.16391823
Coefficient of variation (CV)0.0012909514
Kurtosis0.53627749
Mean126.97475
Median Absolute Deviation (MAD)0.13524016
Skewness0.45020291
Sum63868.299
Variance0.026869187
MonotonicityNot monotonic
2023-12-11T06:57:30.522416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9476838074 15
 
3.0%
126.9675749609 14
 
2.8%
126.7209607915 8
 
1.6%
126.8109164149 8
 
1.6%
127.0152892802 8
 
1.6%
126.9508996095 6
 
1.2%
127.0413546274 6
 
1.2%
127.0686379927 6
 
1.2%
126.8476749434 5
 
1.0%
126.8325763 5
 
1.0%
Other values (274) 422
83.1%
ValueCountFrequency (%)
126.5388983822 1
 
0.2%
126.574156496 1
 
0.2%
126.6007175505 2
 
0.4%
126.7091865594 2
 
0.4%
126.7125567 1
 
0.2%
126.7127251 1
 
0.2%
126.7209607915 8
1.6%
126.7312363289 1
 
0.2%
126.7325051 1
 
0.2%
126.7325468027 1
 
0.2%
ValueCountFrequency (%)
127.6298276855 2
0.4%
127.5162723376 1
 
0.2%
127.4898221 3
0.6%
127.4771796061 1
 
0.2%
127.2789323 1
 
0.2%
127.2784599 1
 
0.2%
127.2754003427 1
 
0.2%
127.2752845 1
 
0.2%
127.2731931 1
 
0.2%
127.2580056577 2
0.4%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing508
Missing (%)100.0%
Memory size4.6 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct196
Distinct (%)53.0%
Missing138
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean197627.46
Minimum159251
Maximum243356.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T06:57:30.666487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum159251
5-th percentile177908.35
Q1185093.83
median197069.82
Q3205977.41
95-th percentile218908.2
Maximum243356.92
Range84105.925
Interquartile range (IQR)20883.58

Descriptive statistics

Standard deviation13723.009
Coefficient of variation (CV)0.069438776
Kurtosis0.086501675
Mean197627.46
Median Absolute Deviation (MAD)11284.824
Skewness0.33362533
Sum73122160
Variance1.8832097 × 108
MonotonicityNot monotonic
2023-12-11T06:57:30.805172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
197069.82356942 14
 
2.8%
195299.383396423 13
 
2.6%
203883.549050531 10
 
2.0%
183165.555491372 8
 
1.6%
184780.940100307 8
 
1.6%
181941.56702977 7
 
1.4%
203574.460395678 6
 
1.2%
186216.5 6
 
1.2%
205977.405739991 6
 
1.2%
185093.825328389 5
 
1.0%
Other values (186) 287
56.5%
(Missing) 138
27.2%
ValueCountFrequency (%)
159251.0 1
0.2%
164689.931809794 1
0.2%
165039.0 1
0.2%
174135.0 1
0.2%
174164.574435626 1
0.2%
174558.710656096 1
0.2%
176099.008078742 1
0.2%
176222.0 2
0.4%
176306.0 1
0.2%
176326.365355399 2
0.4%
ValueCountFrequency (%)
243356.924591 3
0.6%
242128.0 1
 
0.2%
224759.794725439 1
 
0.2%
224716.650430939 1
 
0.2%
224319.0 1
 
0.2%
224124.5343436 1
 
0.2%
223661.0 1
 
0.2%
222769.416947263 2
0.4%
222474.0 1
 
0.2%
221910.18528591 1
 
0.2%

Y좌표값
Real number (ℝ)

MISSING 

Distinct196
Distinct (%)53.0%
Missing138
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean432608.94
Minimum385938.14
Maximum495335.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T06:57:30.941212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum385938.14
5-th percentile404832.57
Q1422169.98
median427133.04
Q3437439.08
95-th percentile473021.28
Maximum495335.13
Range109396.99
Interquartile range (IQR)15269.104

Descriptive statistics

Standard deviation21302.567
Coefficient of variation (CV)0.049242088
Kurtosis0.57258762
Mean432608.94
Median Absolute Deviation (MAD)8356.6397
Skewness0.86840751
Sum1.6006531 × 108
Variance4.5379938 × 108
MonotonicityNot monotonic
2023-12-11T06:57:31.101937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
433267.205928793 14
 
2.8%
431308.429954024 13
 
2.6%
472048.488378595 10
 
2.0%
422378.87289029 8
 
1.6%
423235.932083668 8
 
1.6%
423458.285743027 7
 
1.4%
473021.275668206 6
 
1.2%
419933.58 6
 
1.2%
472107.947957988 6
 
1.2%
423490.001256215 5
 
1.0%
Other values (186) 287
56.5%
(Missing) 138
27.2%
ValueCountFrequency (%)
385938.135075757 1
 
0.2%
387262.0 1
 
0.2%
387336.869599508 2
0.4%
387478.298154523 2
0.4%
389446.83489593 1
 
0.2%
389466.017179519 1
 
0.2%
391843.822161546 1
 
0.2%
398268.965978846 3
0.6%
398280.0 1
 
0.2%
403024.53540002 1
 
0.2%
ValueCountFrequency (%)
495335.129547468 4
0.8%
485636.251395818 1
 
0.2%
483812.120331752 1
 
0.2%
483134.807805278 1
 
0.2%
482638.041678334 1
 
0.2%
479641.074554364 1
 
0.2%
479425.238571028 2
0.4%
479375.49456073 1
 
0.2%
479148.218548966 1
 
0.2%
479028.047846437 1
 
0.2%

실험실면적정보
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)2.2%
Missing191
Missing (%)37.6%
Infinite0
Infinite (%)0.0%
Mean8.4328076
Minimum0
Maximum423
Zeros298
Zeros (%)58.7%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T06:57:31.223822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile78.4
Maximum423
Range423
Interquartile range (IQR)0

Descriptive statistics

Standard deviation45.129599
Coefficient of variation (CV)5.3516695
Kurtosis66.487753
Mean8.4328076
Median Absolute Deviation (MAD)0
Skewness7.7168887
Sum2673.2
Variance2036.6807
MonotonicityNot monotonic
2023-12-11T06:57:31.321377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 298
58.7%
99.0 9
 
1.8%
78.4 3
 
0.6%
423.0 3
 
0.6%
92.0 2
 
0.4%
73.0 1
 
0.2%
21.0 1
 
0.2%
(Missing) 191
37.6%
ValueCountFrequency (%)
0.0 298
58.7%
21.0 1
 
0.2%
73.0 1
 
0.2%
78.4 3
 
0.6%
92.0 2
 
0.4%
99.0 9
 
1.8%
423.0 3
 
0.6%
ValueCountFrequency (%)
423.0 3
 
0.6%
99.0 9
 
1.8%
92.0 2
 
0.4%
78.4 3
 
0.6%
73.0 1
 
0.2%
21.0 1
 
0.2%
0.0 298
58.7%

사업장구분명정보
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
환경관리대행기관
508 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
환경관리대행기관 508
100.0%

Length

2023-12-11T06:57:31.427119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:57:31.511463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
환경관리대행기관 508
100.0%

영업소면적
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
0.0
308 
<NA>
198 
1116.33
 
1
71.0
 
1

Length

Max length7
Median length3
Mean length3.3996063
Min length3

Unique

Unique2 ?
Unique (%)0.4%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 308
60.6%
<NA> 198
39.0%
1116.33 1
 
0.2%
71.0 1
 
0.2%

Length

2023-12-11T06:57:31.667699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:57:31.802981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 308
60.6%
na 198
39.0%
1116.33 1
 
0.2%
71.0 1
 
0.2%

실험실지역코드
Real number (ℝ)

MISSING 

Distinct69
Distinct (%)28.4%
Missing265
Missing (%)52.2%
Infinite0
Infinite (%)0.0%
Mean4.0617214 × 109
Minimum1.1530107 × 109
Maximum4.183025 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T06:57:31.941184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1530107 × 109
5-th percentile4.1113126 × 109
Q14.1173102 × 109
median4.1271103 × 109
Q34.1380119 × 109
95-th percentile4.1590116 × 109
Maximum4.183025 × 109
Range3.0300143 × 109
Interquartile range (IQR)20701700

Descriptive statistics

Standard deviation4.3073441 × 108
Coefficient of variation (CV)0.10604726
Kurtosis41.192235
Mean4.0617214 × 109
Median Absolute Deviation (MAD)9900100
Skewness-6.4993454
Sum9.8699831 × 1011
Variance1.8553214 × 1017
MonotonicityNot monotonic
2023-12-11T06:57:32.122920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4127310100 22
 
4.3%
4117310200 21
 
4.1%
4117310400 20
 
3.9%
4127310700 11
 
2.2%
4113310500 10
 
2.0%
4111312600 8
 
1.6%
4115010100 8
 
1.6%
4127310500 7
 
1.4%
4127110300 6
 
1.2%
4115011100 6
 
1.2%
Other values (59) 124
24.4%
(Missing) 265
52.2%
ValueCountFrequency (%)
1153010700 2
 
0.4%
1156011400 1
 
0.2%
1156012100 1
 
0.2%
1156012700 1
 
0.2%
2818510600 1
 
0.2%
4111113200 2
 
0.4%
4111113500 1
 
0.2%
4111312600 8
1.6%
4111312800 3
 
0.6%
4111710200 1
 
0.2%
ValueCountFrequency (%)
4183025022 1
 
0.2%
4161025026 1
 
0.2%
4161011100 1
 
0.2%
4161010200 1
 
0.2%
4159031021 3
0.6%
4159025936 1
 
0.2%
4159025324 2
0.4%
4159012000 2
0.4%
4159011600 4
0.8%
4159010100 1
 
0.2%

실험실우편번호
Real number (ℝ)

MISSING 

Distinct100
Distinct (%)41.8%
Missing269
Missing (%)53.0%
Infinite0
Infinite (%)0.0%
Mean261040
Minimum7218
Maximum467701
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T06:57:32.279376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7218
5-th percentile11610
Q114664
median425807
Q3431767
95-th percentile461921.6
Maximum467701
Range460483
Interquartile range (IQR)417103

Descriptive statistics

Standard deviation208441.69
Coefficient of variation (CV)0.79850477
Kurtosis-1.887539
Mean261040
Median Absolute Deviation (MAD)22353
Skewness-0.34363504
Sum62388560
Variance4.3447936 × 1010
MonotonicityNot monotonic
2023-12-11T06:57:32.401604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
431767 13
 
2.6%
425809 9
 
1.8%
425807 9
 
1.8%
425856 9
 
1.8%
16589 8
 
1.6%
431837 7
 
1.4%
11625 7
 
1.4%
426825 6
 
1.2%
14079 6
 
1.2%
11610 6
 
1.2%
Other values (90) 159
31.3%
(Missing) 269
53.0%
ValueCountFrequency (%)
7218 1
 
0.2%
7220 1
 
0.2%
7295 1
 
0.2%
8277 2
 
0.4%
10026 1
 
0.2%
10029 1
 
0.2%
10044 2
 
0.4%
11610 6
1.2%
11625 7
1.4%
11653 1
 
0.2%
ValueCountFrequency (%)
467701 3
0.6%
465736 2
0.4%
464893 1
 
0.2%
464130 1
 
0.2%
464070 1
 
0.2%
463839 2
0.4%
462739 1
 
0.2%
462728 1
 
0.2%
461832 2
0.4%
456030 2
0.4%

실험실산명
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
265 
1
141 
0
99 
2
 
3

Length

Max length4
Median length4
Mean length2.5649606
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 265
52.2%
1 141
27.8%
0 99
 
19.5%
2 3
 
0.6%

Length

2023-12-11T06:57:32.522274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:57:32.616980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 265
52.2%
1 141
27.8%
0 99
 
19.5%
2 3
 
0.6%

실험실번지
Real number (ℝ)

MISSING 

Distinct96
Distinct (%)39.5%
Missing265
Missing (%)52.2%
Infinite0
Infinite (%)0.0%
Mean705.88889
Minimum13
Maximum6143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T06:57:32.730089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile95.4
Q1389.5
median727
Q3912
95-th percentile1281
Maximum6143
Range6130
Interquartile range (IQR)522.5

Descriptive statistics

Standard deviation613.68732
Coefficient of variation (CV)0.86938233
Kurtosis48.012985
Mean705.88889
Median Absolute Deviation (MAD)214
Skewness5.6435376
Sum171531
Variance376612.13
MonotonicityNot monotonic
2023-12-11T06:57:32.851173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
799 16
 
3.1%
921 12
 
2.4%
742 9
 
1.8%
1125 8
 
1.6%
708 8
 
1.6%
542 7
 
1.4%
412 6
 
1.2%
1496 6
 
1.2%
729 6
 
1.2%
727 5
 
1.0%
Other values (86) 160
31.5%
(Missing) 265
52.2%
ValueCountFrequency (%)
13 1
 
0.2%
20 1
 
0.2%
24 1
 
0.2%
25 1
 
0.2%
32 1
 
0.2%
45 1
 
0.2%
54 1
 
0.2%
69 3
0.6%
77 2
0.4%
95 1
 
0.2%
ValueCountFrequency (%)
6143 1
 
0.2%
6060 1
 
0.2%
2075 1
 
0.2%
1576 1
 
0.2%
1496 6
1.2%
1428 1
 
0.2%
1289 1
 
0.2%
1281 3
0.6%
1254 1
 
0.2%
1229 1
 
0.2%

실험실호정보
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)13.3%
Missing313
Missing (%)61.6%
Infinite0
Infinite (%)0.0%
Mean12.625641
Minimum0
Maximum614
Zeros21
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T06:57:32.962904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q37
95-th percentile33.3
Maximum614
Range614
Interquartile range (IQR)6

Descriptive statistics

Standard deviation62.462594
Coefficient of variation (CV)4.947281
Kurtosis88.32965
Mean12.625641
Median Absolute Deviation (MAD)2
Skewness9.3093836
Sum2462
Variance3901.5756
MonotonicityNot monotonic
2023-12-11T06:57:33.066145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 41
 
8.1%
2 26
 
5.1%
0 21
 
4.1%
4 20
 
3.9%
7 18
 
3.5%
3 18
 
3.5%
5 11
 
2.2%
9 7
 
1.4%
11 5
 
1.0%
6 5
 
1.0%
Other values (16) 23
 
4.5%
(Missing) 313
61.6%
ValueCountFrequency (%)
0 21
4.1%
1 41
8.1%
2 26
5.1%
3 18
3.5%
4 20
3.9%
5 11
 
2.2%
6 5
 
1.0%
7 18
3.5%
8 1
 
0.2%
9 7
 
1.4%
ValueCountFrequency (%)
614 2
0.4%
80 1
0.2%
67 1
0.2%
59 1
0.2%
55 2
0.4%
47 1
0.2%
42 1
0.2%
34 1
0.2%
33 2
0.4%
32 1
0.2%

실험실통정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing508
Missing (%)100.0%
Memory size4.6 KiB

실험실반정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing508
Missing (%)100.0%
Memory size4.6 KiB

실험실특수주소
Text

MISSING 

Distinct60
Distinct (%)41.4%
Missing363
Missing (%)71.5%
Memory size4.1 KiB
2023-12-11T06:57:33.277623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length6.3655172
Min length3

Characters and Unicode

Total characters923
Distinct characters156
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

Unique29 ?
Unique (%)20.0%

Sample

1st row베올리아워터트레이닝센터
2nd row광명조명타운
3rd row광명조명타운
4th rowSK벤티움
5th row군포IT밸리
ValueCountFrequency (%)
메가밸리 13
 
8.2%
두산벤처다임 8
 
5.0%
혜성빌딩 8
 
5.0%
웅신아트프라자 8
 
5.0%
키즈타운 7
 
4.4%
키움프라자 6
 
3.8%
아이테코 5
 
3.1%
현대타운 5
 
3.1%
흥덕it밸리 4
 
2.5%
제컴플렉스 4
 
2.5%
Other values (58) 91
57.2%
2023-12-11T06:57:33.582073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
타 33
 
3.6%
리 32
 
3.5%
밸 26
 
2.8%
라 26
 
2.8%
프 25
 
2.7%
테 23
 
2.5%
자 22
 
2.4%
가 21
 
2.3%
운 21
 
2.3%
스 20
 
2.2%
Other values (146) 674
73.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 813
88.1%
Uppercase Letter 46
 
5.0%
Decimal Number 22
 
2.4%
Lowercase Letter 15
 
1.6%
Space Separator 14
 
1.5%
Open Punctuation 6
 
0.7%
Close Punctuation 6
 
0.7%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
타 33
 
4.1%
리 32
 
3.9%
밸 26
 
3.2%
라 26
 
3.2%
프 25
 
3.1%
테 23
 
2.8%
자 22
 
2.7%
가 21
 
2.6%
운 21
 
2.6%
스 20
 
2.5%
Other values (122) 564
69.4%
Uppercase Letter
ValueCountFrequency (%)
I 14
30.4%
T 13
28.3%
S 6
13.0%
K 6
13.0%
B 3
 
6.5%
V 2
 
4.3%
N 1
 
2.2%
G 1
 
2.2%
Decimal Number
ValueCountFrequency (%)
1 8
36.4%
5 5
22.7%
2 5
22.7%
8 1
 
4.5%
4 1
 
4.5%
0 1
 
4.5%
3 1
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
n 5
33.3%
e 4
26.7%
c 2
 
13.3%
t 2
 
13.3%
r 2
 
13.3%
Space Separator
ValueCountFrequency (%)
14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 813
88.1%
Latin 61
 
6.6%
Common 49
 
5.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
타 33
 
4.1%
리 32
 
3.9%
밸 26
 
3.2%
라 26
 
3.2%
프 25
 
3.1%
테 23
 
2.8%
자 22
 
2.7%
가 21
 
2.6%
운 21
 
2.6%
스 20
 
2.5%
Other values (122) 564
69.4%
Latin
ValueCountFrequency (%)
I 14
23.0%
T 13
21.3%
S 6
9.8%
K 6
9.8%
n 5
 
8.2%
e 4
 
6.6%
B 3
 
4.9%
c 2
 
3.3%
t 2
 
3.3%
r 2
 
3.3%
Other values (3) 4
 
6.6%
Common
ValueCountFrequency (%)
14
28.6%
1 8
16.3%
( 6
12.2%
) 6
12.2%
5 5
 
10.2%
2 5
 
10.2%
8 1
 
2.0%
4 1
 
2.0%
0 1
 
2.0%
3 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 813
88.1%
ASCII 110
 
11.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
타 33
 
4.1%
리 32
 
3.9%
밸 26
 
3.2%
라 26
 
3.2%
프 25
 
3.1%
테 23
 
2.8%
자 22
 
2.7%
가 21
 
2.6%
운 21
 
2.6%
스 20
 
2.5%
Other values (122) 564
69.4%
ASCII
ValueCountFrequency (%)
14
12.7%
I 14
12.7%
T 13
11.8%
1 8
 
7.3%
( 6
 
5.5%
) 6
 
5.5%
S 6
 
5.5%
K 6
 
5.5%
5 5
 
4.5%
2 5
 
4.5%
Other values (14) 27
24.5%

실험실특수동주소
Categorical

IMBALANCE 

Distinct15
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
479 
녹양
 
6
B
 
5
메가동
 
3
A
 
3
Other values (10)
 
12

Length

Max length4
Median length4
Mean length3.8720472
Min length1

Unique

Unique8 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 479
94.3%
녹양 6
 
1.2%
B 5
 
1.0%
메가동 3
 
0.6%
A 3
 
0.6%
다 2
 
0.4%
20 2
 
0.4%
102 1
 
0.2%
C 1
 
0.2%
가 1
 
0.2%
Other values (5) 5
 
1.0%

Length

2023-12-11T06:57:33.695657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 479
94.3%
녹양 6
 
1.2%
b 5
 
1.0%
메가동 3
 
0.6%
a 3
 
0.6%
다 2
 
0.4%
20 2
 
0.4%
102 1
 
0.2%
c 1
 
0.2%
가 1
 
0.2%
Other values (5) 5
 
1.0%

실험실특수호주소
Categorical

IMBALANCE 

Distinct49
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
375 
201
 
14
1
 
10
404
 
9
625
 
8
Other values (44)
92 

Length

Max length10
Median length4
Mean length3.8208661
Min length1

Unique

Unique21 ?
Unique (%)4.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 375
73.8%
201 14
 
2.8%
1 10
 
2.0%
404 9
 
1.8%
625 8
 
1.6%
701 6
 
1.2%
401 5
 
1.0%
603 5
 
1.0%
403 5
 
1.0%
402 4
 
0.8%
Other values (39) 67
 
13.2%

Length

2023-12-11T06:57:33.787548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 375
73.8%
201 14
 
2.8%
1 10
 
2.0%
404 9
 
1.8%
625 8
 
1.6%
701 6
 
1.2%
401 5
 
1.0%
603 5
 
1.0%
403 5
 
1.0%
707 4
 
0.8%
Other values (39) 67
 
13.2%

실험실도로명주소읍면동정보
Real number (ℝ)

MISSING 

Distinct80
Distinct (%)27.4%
Missing216
Missing (%)42.5%
Infinite0
Infinite (%)0.0%
Mean4.0427419 × 109
Minimum1.1530107 × 109
Maximum4.183025 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T06:57:33.884075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1530107 × 109
5-th percentile4.1113126 × 109
Q14.1150111 × 109
median4.1215108 × 109
Q34.1370104 × 109
95-th percentile4.1590118 × 109
Maximum4.183025 × 109
Range3.0300143 × 109
Interquartile range (IQR)21999325

Descriptive statistics

Standard deviation4.7226337 × 108
Coefficient of variation (CV)0.11681759
Kurtosis31.707623
Mean4.0427419 × 109
Median Absolute Deviation (MAD)6499750
Skewness-5.704346
Sum1.1804806 × 1012
Variance2.2303269 × 1017
MonotonicityNot monotonic
2023-12-11T06:57:33.992102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4117310400 30
 
5.9%
4127310100 22
 
4.3%
4117310200 21
 
4.1%
4127310700 17
 
3.3%
4115010100 12
 
2.4%
4113310500 10
 
2.0%
4115011000 9
 
1.8%
4111312600 8
 
1.6%
4115010900 7
 
1.4%
4127310500 7
 
1.4%
Other values (70) 149
29.3%
(Missing) 216
42.5%
ValueCountFrequency (%)
1153010700 3
0.6%
1156011400 1
 
0.2%
1156012100 1
 
0.2%
1156012700 1
 
0.2%
1168010700 1
 
0.2%
2817010500 1
 
0.2%
2817010600 1
 
0.2%
2818510600 1
 
0.2%
4111113200 2
0.4%
4111113500 1
 
0.2%
ValueCountFrequency (%)
4183025022 1
 
0.2%
4161025000 1
 
0.2%
4161011100 1
 
0.2%
4161010300 2
0.4%
4161010200 1
 
0.2%
4161010100 1
 
0.2%
4159031000 3
0.6%
4159025900 1
 
0.2%
4159025300 2
0.4%
4159012000 2
0.4%

실험실도로명주소읍면동명
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
1
276 
<NA>
216 
0
 
16

Length

Max length4
Median length1
Mean length2.2755906
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 276
54.3%
<NA> 216
42.5%
0 16
 
3.1%

Length

2023-12-11T06:57:34.097706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:57:34.181570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 276
54.3%
na 216
42.5%
0 16
 
3.1%

실험실도로명주소정보
Real number (ℝ)

MISSING 

Distinct110
Distinct (%)37.7%
Missing216
Missing (%)42.5%
Infinite0
Infinite (%)0.0%
Mean3425009.1
Minimum2000005
Maximum4451982
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T06:57:34.268346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000005
5-th percentile2012002
Q13151533.5
median3191023
Q34349098
95-th percentile4410425
Maximum4451982
Range2451977
Interquartile range (IQR)1197564.5

Descriptive statistics

Standard deviation744532.15
Coefficient of variation (CV)0.21738107
Kurtosis-0.82484291
Mean3425009.1
Median Absolute Deviation (MAD)179007
Skewness-0.072152436
Sum1.0001027 × 109
Variance5.5432813 × 1011
MonotonicityNot monotonic
2023-12-11T06:57:34.387891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4349098 21
 
4.1%
3012016 18
 
3.5%
3190012 14
 
2.8%
3191064 11
 
2.2%
3181063 9
 
1.8%
4325349 8
 
1.6%
3181004 8
 
1.6%
2190001 8
 
1.6%
3012003 6
 
1.2%
3181048 6
 
1.2%
Other values (100) 183
36.0%
(Missing) 216
42.5%
ValueCountFrequency (%)
2000005 1
 
0.2%
2000007 5
1.0%
2000018 5
1.0%
2005008 1
 
0.2%
2012002 4
0.8%
2012008 1
 
0.2%
2012011 2
 
0.4%
2122001 1
 
0.2%
2179001 3
0.6%
2182002 3
0.6%
ValueCountFrequency (%)
4451982 1
 
0.2%
4433474 1
 
0.2%
4433419 1
 
0.2%
4433183 1
 
0.2%
4430997 2
0.4%
4430562 4
0.8%
4430481 2
0.4%
4424641 1
 
0.2%
4412227 1
 
0.2%
4412125 1
 
0.2%

실험실도로명특수주소
Text

MISSING 

Distinct68
Distinct (%)41.2%
Missing343
Missing (%)67.5%
Memory size4.1 KiB
2023-12-11T06:57:34.587198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length6.0848485
Min length3

Characters and Unicode

Total characters1004
Distinct characters161
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)20.6%

Sample

1st row베올리아워터트레이닝센터
2nd row광명조명타운
3rd row광명조명타운
4th row신원플러스타운
5th rowSK벤티움
ValueCountFrequency (%)
메가밸리 13
 
7.9%
웅신아트프라자 8
 
4.8%
혜성빌딩 8
 
4.8%
두산벤처다임 8
 
4.8%
키즈타운 7
 
4.2%
대덕프라자 6
 
3.6%
키움프라자 6
 
3.6%
아이테코 5
 
3.0%
현대타운 5
 
3.0%
동진빌딩 5
 
3.0%
Other values (58) 94
57.0%
2023-12-11T06:57:34.899063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
타 35
 
3.5%
라 33
 
3.3%
프 32
 
3.2%
리 32
 
3.2%
빌 30
 
3.0%
딩 29
 
2.9%
자 29
 
2.9%
밸 26
 
2.6%
테 23
 
2.3%
운 22
 
2.2%
Other values (151) 713
71.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 906
90.2%
Uppercase Letter 46
 
4.6%
Decimal Number 24
 
2.4%
Lowercase Letter 15
 
1.5%
Open Punctuation 6
 
0.6%
Close Punctuation 6
 
0.6%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
타 35
 
3.9%
라 33
 
3.6%
프 32
 
3.5%
리 32
 
3.5%
빌 30
 
3.3%
딩 29
 
3.2%
자 29
 
3.2%
밸 26
 
2.9%
테 23
 
2.5%
운 22
 
2.4%
Other values (128) 615
67.9%
Uppercase Letter
ValueCountFrequency (%)
I 14
30.4%
T 13
28.3%
S 6
13.0%
K 6
13.0%
B 3
 
6.5%
V 2
 
4.3%
G 1
 
2.2%
N 1
 
2.2%
Decimal Number
ValueCountFrequency (%)
5 9
37.5%
1 8
33.3%
2 3
 
12.5%
0 1
 
4.2%
8 1
 
4.2%
4 1
 
4.2%
3 1
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
n 5
33.3%
e 4
26.7%
t 2
 
13.3%
c 2
 
13.3%
r 2
 
13.3%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 906
90.2%
Latin 61
 
6.1%
Common 37
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
타 35
 
3.9%
라 33
 
3.6%
프 32
 
3.5%
리 32
 
3.5%
빌 30
 
3.3%
딩 29
 
3.2%
자 29
 
3.2%
밸 26
 
2.9%
테 23
 
2.5%
운 22
 
2.4%
Other values (128) 615
67.9%
Latin
ValueCountFrequency (%)
I 14
23.0%
T 13
21.3%
S 6
9.8%
K 6
9.8%
n 5
 
8.2%
e 4
 
6.6%
B 3
 
4.9%
t 2
 
3.3%
c 2
 
3.3%
V 2
 
3.3%
Other values (3) 4
 
6.6%
Common
ValueCountFrequency (%)
5 9
24.3%
1 8
21.6%
( 6
16.2%
) 6
16.2%
2 3
 
8.1%
0 1
 
2.7%
- 1
 
2.7%
8 1
 
2.7%
4 1
 
2.7%
3 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 906
90.2%
ASCII 98
 
9.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
타 35
 
3.9%
라 33
 
3.6%
프 32
 
3.5%
리 32
 
3.5%
빌 30
 
3.3%
딩 29
 
3.2%
자 29
 
3.2%
밸 26
 
2.9%
테 23
 
2.5%
운 22
 
2.4%
Other values (128) 615
67.9%
ASCII
ValueCountFrequency (%)
I 14
14.3%
T 13
13.3%
5 9
9.2%
1 8
 
8.2%
S 6
 
6.1%
( 6
 
6.1%
K 6
 
6.1%
) 6
 
6.1%
n 5
 
5.1%
e 4
 
4.1%
Other values (13) 21
21.4%

실험실도로명주소건물층구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
0
292 
<NA>
216 

Length

Max length4
Median length1
Mean length2.2755906
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 292
57.5%
<NA> 216
42.5%

Length

2023-12-11T06:57:35.318597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:57:35.404863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 292
57.5%
na 216
42.5%

실험실도로명주소건물본번호
Real number (ℝ)

MISSING 

Distinct102
Distinct (%)34.9%
Missing216
Missing (%)42.5%
Infinite0
Infinite (%)0.0%
Mean219.42466
Minimum1
Maximum2791
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T06:57:35.502619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q126.75
median88.5
Q3268
95-th percentile681
Maximum2791
Range2790
Interquartile range (IQR)241.25

Descriptive statistics

Standard deviation391.58926
Coefficient of variation (CV)1.7846183
Kurtosis20.555295
Mean219.42466
Median Absolute Deviation (MAD)72.5
Skewness4.1788716
Sum64072
Variance153342.15
MonotonicityNot monotonic
2023-12-11T06:57:35.623974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35 23
 
4.5%
268 14
 
2.8%
13 11
 
2.2%
660 9
 
1.8%
18 9
 
1.8%
64 9
 
1.8%
22 8
 
1.6%
161 8
 
1.6%
16 7
 
1.4%
99 6
 
1.2%
Other values (92) 188
37.0%
(Missing) 216
42.5%
ValueCountFrequency (%)
1 1
 
0.2%
2 1
 
0.2%
4 3
 
0.6%
5 3
 
0.6%
7 3
 
0.6%
10 5
1.0%
11 1
 
0.2%
12 1
 
0.2%
13 11
2.2%
14 3
 
0.6%
ValueCountFrequency (%)
2791 2
 
0.4%
2179 2
 
0.4%
2091 3
 
0.6%
1445 1
 
0.2%
1225 1
 
0.2%
744 1
 
0.2%
681 6
1.2%
660 9
1.8%
634 3
 
0.6%
624 1
 
0.2%

실험실도로명주소건물부번호
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)14.6%
Missing385
Missing (%)75.8%
Infinite0
Infinite (%)0.0%
Mean7.5609756
Minimum0
Maximum97
Zeros76
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T06:57:35.735967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37
95-th percentile38.6
Maximum97
Range97
Interquartile range (IQR)7

Descriptive statistics

Standard deviation16.331678
Coefficient of variation (CV)2.1599961
Kurtosis13.630454
Mean7.5609756
Median Absolute Deviation (MAD)0
Skewness3.3021777
Sum930
Variance266.72371
MonotonicityNot monotonic
2023-12-11T06:57:35.836627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 76
 
15.0%
1 8
 
1.6%
32 7
 
1.4%
7 7
 
1.4%
21 3
 
0.6%
39 3
 
0.6%
10 3
 
0.6%
3 2
 
0.4%
97 2
 
0.4%
8 2
 
0.4%
Other values (8) 10
 
2.0%
(Missing) 385
75.8%
ValueCountFrequency (%)
0 76
15.0%
1 8
 
1.6%
3 2
 
0.4%
6 2
 
0.4%
7 7
 
1.4%
8 2
 
0.4%
9 1
 
0.2%
10 3
 
0.6%
14 1
 
0.2%
16 1
 
0.2%
ValueCountFrequency (%)
97 2
 
0.4%
44 2
 
0.4%
39 3
0.6%
35 1
 
0.2%
32 7
1.4%
25 1
 
0.2%
24 1
 
0.2%
21 3
0.6%
16 1
 
0.2%
14 1
 
0.2%

실험실도로명주소우편번호
Real number (ℝ)

MISSING 

Distinct120
Distinct (%)41.1%
Missing216
Missing (%)42.5%
Infinite0
Infinite (%)0.0%
Mean243842.81
Minimum0
Maximum467701
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T06:57:35.968755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11610
Q114059
median425110
Q3431767
95-th percentile461817.35
Maximum467701
Range467701
Interquartile range (IQR)417708

Descriptive statistics

Standard deviation210296.43
Coefficient of variation (CV)0.86242623
Kurtosis-1.9709263
Mean243842.81
Median Absolute Deviation (MAD)36722
Skewness-0.17667533
Sum71202100
Variance4.422459 × 1010
MonotonicityNot monotonic
2023-12-11T06:57:36.111347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
431837 16
 
3.1%
431767 13
 
2.6%
11685 9
 
1.8%
425809 9
 
1.8%
425807 9
 
1.8%
425856 9
 
1.8%
16589 8
 
1.6%
11625 7
 
1.4%
14079 7
 
1.4%
426825 6
 
1.2%
Other values (110) 199
39.2%
(Missing) 216
42.5%
ValueCountFrequency (%)
0 1
 
0.2%
7218 1
 
0.2%
7220 1
 
0.2%
7295 1
 
0.2%
8277 3
0.6%
10026 1
 
0.2%
10029 1
 
0.2%
10044 2
 
0.4%
11610 6
1.2%
11625 7
1.4%
ValueCountFrequency (%)
467701 3
0.6%
465736 2
0.4%
464893 1
 
0.2%
464130 1
 
0.2%
464070 1
 
0.2%
463839 2
0.4%
462739 1
 
0.2%
462728 1
 
0.2%
461832 2
0.4%
461830 1
 
0.2%

실험실도로명시군구정보
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)11.6%
Missing216
Missing (%)42.5%
Infinite0
Infinite (%)0.0%
Mean40427.301
Minimum11530
Maximum41830
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T06:57:36.295715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11530
5-th percentile41113
Q141150
median41215
Q341370
95-th percentile41590
Maximum41830
Range30300
Interquartile range (IQR)220

Descriptive statistics

Standard deviation4722.632
Coefficient of variation (CV)0.11681789
Kurtosis31.707648
Mean40427.301
Median Absolute Deviation (MAD)65
Skewness-5.704349
Sum11804772
Variance22303253
MonotonicityNot monotonic
2023-12-11T06:57:36.404608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
41273 57
 
11.2%
41173 56
 
11.0%
41150 34
 
6.7%
41590 13
 
2.6%
41113 12
 
2.4%
41133 10
 
2.0%
41390 10
 
2.0%
41463 9
 
1.8%
41450 7
 
1.4%
41220 6
 
1.2%
Other values (24) 78
 
15.4%
(Missing) 216
42.5%
ValueCountFrequency (%)
11530 3
 
0.6%
11560 3
 
0.6%
11680 1
 
0.2%
28170 2
 
0.4%
28185 1
 
0.2%
41111 3
 
0.6%
41113 12
2.4%
41117 1
 
0.2%
41131 4
 
0.8%
41133 10
2.0%
ValueCountFrequency (%)
41830 1
 
0.2%
41610 6
1.2%
41590 13
2.6%
41570 5
 
1.0%
41550 3
 
0.6%
41500 3
 
0.6%
41465 3
 
0.6%
41463 9
1.8%
41461 3
 
0.6%
41450 7
1.4%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값실험실면적정보사업장구분명정보영업소면적실험실지역코드실험실우편번호실험실산명실험실번지실험실호정보실험실통정보실험실반정보실험실특수주소실험실특수동주소실험실특수호주소실험실도로명주소읍면동정보실험실도로명주소읍면동명실험실도로명주소정보실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호실험실도로명시군구정보
0가평군삼보환경기술㈜2023-09-12<NA>N신규<NA><NA><NA><NA>경기도 가평군 가평읍 태평길 20, 3층경기도 가평군 가평읍 읍내리 357번지1241937.82776127.516272<NA><NA><NA>0.0환경관리대행기관0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1고양시우주환경(주)2023-07-14<NA>N신규<NA><NA><NA>10460경기도 고양시 덕양구 고양시청로 13-2, 성광빌딩 108호 (주교동)경기도 고양시 덕양구 주교동 602번지 성광빌딩 108호1046037.657456126.832008<NA>185108.072695461687.00129292.0환경관리대행기관0.041150101001162505427<NA><NA><NA><NA><NA>411501010013181004<NA>01311162541150
2고양시하이테크환경(주)2023-03-03<NA>N신규<NA><NA><NA><NA>고양시 덕양구 서오릉로 532 (용두동)경기도 고양시 덕양구 용두동 436-6번지1054837.630348126.882399<NA><NA><NA>0.0환경관리대행기관0.041150101001162505427<NA><NA><NA><NA><NA>411501010013181004<NA>01311162541150
3고양시(주)새롬환경기술2023-12-05<NA>N신규<NA><NA><NA>10442경기도 고양시 일산동구 일산로 138, 일산테크노타운 504호(백석동)경기도 고양시 일산동구 백석동 1141-1 일산테크노타운 504호1044237.650785126.794625<NA>181835.358339460894.7423440.0환경관리대행기관0.028185106002201401332<NA><NA>베올리아워터트레이닝센터<NA>1281851060013152032베올리아워터트레이닝센터027702201428185
4고양시(주)뉴엔텍2023-03-31<NA>N신규<NA><NA><NA>10550경기도 고양시 덕양구 삼원로 83, 광양프런티어밸리6차 821호(원흥동)경기도 고양시 덕양구 원흥동 706번지 광양프런티어밸리6차 821호1055037.638178126.874979<NA>188898.091567459572.1418940.0환경관리대행기관0.041173104001407909214<NA><NA><NA><NA><NA>411731040014349098<NA>03501407941173
5고양시우주환경(주)20200615<NA>S휴업<NA><NA><NA>10460경기도 고양시 덕양구 고양시청로 13-2, 성광빌딩 108호 (주교동)경기도 고양시 덕양구 주교동 602번지 성광빌딩 108호1046037.657456126.832008<NA>185121.0461697.092.0환경관리대행기관0.01156012700721807780<NA><NA><NA><NA>1115601270012005008<NA>05290721811560
6고양시(주)새롬환경기술20160704<NA>S휴업<NA><NA><NA>10442경기도 고양시 일산동구 일산로 138, 5층 7호 (백석동)경기도 고양시 일산동구 백석동 1141-1번지 일산테크노타운 5층 7호1044237.650111126.795016<NA>181900.0460847.00.0환경관리대행기관0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7고양시하이테크환경(주)20190901<NA>S휴업<NA><NA><NA><NA>고양시 덕양구 서오릉로 532 (용두동)경기도 고양시 덕양구 용두동 436-6번지1054837.630348126.882399<NA><NA><NA>0.0환경관리대행기관0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>281701050013150038<NA>0114<NA>2211028170
8과천시코오롱글로벌㈜20160701<NA>N신규<NA><NA><NA><NA>과천시 코오롱로 11경기도 과천시 별양동 1-23번지1383737.425353126.990692<NA><NA><NA><NA>환경관리대행기관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9과천시코오롱워터앤에너지(주)20150115<NA>N신규<NA><NA><NA>427800경기도 과천시 코오롱로 13, 별관동 (별양동,코오롱타워별관)경기도 과천시 별양동 1-22번지 코오롱타워별관1383737.425714126.991257<NA>199159.234716435964.7043973.0환경관리대행기관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>412201140013188116<NA>02003545004041220
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값실험실면적정보사업장구분명정보영업소면적실험실지역코드실험실우편번호실험실산명실험실번지실험실호정보실험실통정보실험실반정보실험실특수주소실험실특수동주소실험실특수호주소실험실도로명주소읍면동정보실험실도로명주소읍면동명실험실도로명주소정보실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호실험실도로명시군구정보
498화성시(주)뎀코2023-02-15<NA>N신규<NA><NA><NA>18274경기도 화성시 남양읍 현대기아로 498-2, 201호경기도 화성시 남양읍 무송리 180-5 201호1827437.193829126.847675<NA>186405.82795410226.2802930.0환경관리대행기관0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
499화성시대명엔텍(주)2022-12-06<NA>N신규<NA><NA><NA>18274경기도 화성시 남양읍 현대기아로 498-2, 202호경기도 화성시 남양읍 무송리 180-5 202호1827437.193829126.847675<NA>186405.82795410226.2802930.0환경관리대행기관0.041173104001407909214<NA><NA><NA><NA><NA>411731040014349098<NA>03501407941173
500화성시(주)뎀코20220311<NA>N신규<NA><NA><NA>18274경기도 화성시 남양읍 현대기아로 498-2, 201호경기도 화성시 남양읍 무송리 180-5 201호1827437.193829126.847675<NA>186474.317855410536.1127060.0환경관리대행기관0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
501화성시보성환경이엔텍(주)-중복20140528<NA>N신규<NA><NA><NA>445010경기도 화성시 역골로 17, 503호 (남양동,ING빌딩)경기도 화성시 남양동 2075번지 13호 ING 빌딩 503호44501037.201546126.827691<NA>184637.0411108.0<NA>환경관리대행기관<NA>41590101004450101207513<NA><NA>ING 빌딩<NA>503415901010013210080ING빌딩017<NA>44501041590
502화성시다원환경기술20141127<NA>N신규<NA><NA><NA>445833경기도 화성시 매송면 매송고색로 366, 2층경기도 화성시 매송면 329번지 11호44583337.243352126.945313<NA>195083.047406415725.708623<NA>환경관리대행기관<NA>4159031021445833132911<NA><NA><NA><NA><NA>415903100003012003<NA>0366<NA>44583341590
503화성시㈜다원환경기술20180518<NA>N신규<NA><NA><NA>445833경기도 화성시 매송면 매송고색로 366, 2층경기도 화성시 매송면 329번지 11호44583337.243352126.945313<NA>195083.047406415725.708623<NA>환경관리대행기관<NA>4159031021445833132911<NA><NA><NA><NA><NA>415903100003012003<NA>0366<NA>44583341590
504화성시KD환경20220223<NA>N신규<NA><NA><NA><NA>경기도 화성시 비봉면 현대기아로830번길 25-22, 1층경기도 화성시 비봉면 양노리 715번지1828437.223242126.859392<NA><NA><NA>0.0환경관리대행기관0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
505화성시㈜동남이엔지20170911<NA>N신규<NA><NA><NA><NA>화성시 동탄면 동탄산단6길 15-40경기도 화성시 방교동 833-1번지1848737.172081127.088918<NA><NA><NA><NA>환경관리대행기관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
506<NA>(주)이테크건설20140325<NA>N신규<NA><NA><NA>135889서울특별시 강남구 도산대로 139, 2~6층 (신사동,제이타워)서울특별시 강남구 신사동 538번지 제이타워 2~6층0603637.518155127.023661<NA>202025.925476446244.500395<NA>환경관리대행기관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>116801070012122001제이타워0139<NA>13588911680
507<NA>현대건설(주)20180416<NA>N신규<NA><NA><NA>03058서울특별시 종로구 율곡로 75 (계동)서울특별시 종로구 계동 140-2번지0305837.578341126.987327<NA>198817.289035452901.786745<NA>환경관리대행기관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>414631130014412125<NA>01761689141463

Duplicate rows

Most frequently occurring

시군명사업장명인허가일자영업상태구분코드영업상태명폐업일자도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도X좌표값Y좌표값실험실면적정보사업장구분명정보영업소면적실험실지역코드실험실우편번호실험실산명실험실번지실험실호정보실험실특수주소실험실특수동주소실험실특수호주소실험실도로명주소읍면동정보실험실도로명주소읍면동명실험실도로명주소정보실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호실험실도로명시군구정보# duplicates
0수원시혜성크린텍크(주)2023-02-08N신규<NA>16589경기도 수원시 권선구 세지로4번길 18, 혜성빌딩 1층 1호(세류동)경기도 수원시 권선구 세류동 1125-1 혜성빌딩 1호1658937.252088127.015289201285.950434416683.8064010.0환경관리대행기관0.0411131260016589011251혜성빌딩<NA>1411131260014325349혜성빌딩018016589411132
1안산시Clean-up20141218N신규<NA>425780경기도 안산시 단원구 산단로 326, 다동 4,13호 (원곡동,유통상가지하상가)경기도 안산시 단원구 원곡동 994번지 5호 유통상가지하상가 다동 4,13호42578037.324028126.787603181108.608529424698.619519<NA>환경관리대행기관<NA>412731080042578019945유통상가지하상가다4,13412731080013012031유통상가지하상가0326<NA>425780412732
2안산시케이비엔텍(주)2023-03-23N신규<NA>425-856경기도 안산시 단원구 원포공원1로 64, 201호 (초지동,키즈타운)경기도 안산시 단원구 초지동 742번지 2호 키즈타운 201호425-85637.303247126.810916183165.555491422378.872890.0환경관리대행기관0.0412731070042585617422키즈타운<NA>201412731070013191064키즈타운064<NA>425856412732