Overview

Dataset statistics

Number of variables5
Number of observations1357
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory53.1 KiB
Average record size in memory40.1 B

Variable types

Text5

Dataset

Description환경통계표정보시스템에서 제공하는 환경통계표 목록 정보(통계항목아이디, 통계항목명, 통계표아이디, 통계표명, 최초등록일)를 제공합니다.
Author환경부
URLhttps://www.data.go.kr/data/15088572/fileData.do

Reproduction

Analysis started2023-12-12 15:01:45.696353
Analysis finished2023-12-12 15:01:46.318839
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

통계항목아이디
Text

Distinct152
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2023-12-13T00:01:46.558033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length16.833456
Min length7

Characters and Unicode

Total characters22843
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)3.6%

Sample

1st row106H_01
2nd row106H_01_001
3rd row106H_01_001003
4th row106H_01_001003
5th row106H_01_001003
ValueCountFrequency (%)
106h_01_007002002003 84
 
6.2%
106h_01_001003 63
 
4.6%
106h_01_008004004 61
 
4.5%
106h_01_006001003001 45
 
3.3%
106h_01_006002001 38
 
2.8%
106h_01_006001004003 36
 
2.7%
106h_01_005002 33
 
2.4%
106h_01_006001004001 30
 
2.2%
106h_01_006001005004 29
 
2.1%
106h_01_003007 26
 
1.9%
Other values (142) 912
67.2%
2023-12-13T00:01:46.997336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10547
46.2%
1 3758
 
16.5%
_ 2713
 
11.9%
6 1785
 
7.8%
H 1357
 
5.9%
2 788
 
3.4%
3 576
 
2.5%
7 488
 
2.1%
4 446
 
2.0%
5 207
 
0.9%
Other values (2) 178
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18773
82.2%
Connector Punctuation 2713
 
11.9%
Uppercase Letter 1357
 
5.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10547
56.2%
1 3758
 
20.0%
6 1785
 
9.5%
2 788
 
4.2%
3 576
 
3.1%
7 488
 
2.6%
4 446
 
2.4%
5 207
 
1.1%
8 153
 
0.8%
9 25
 
0.1%
Connector Punctuation
ValueCountFrequency (%)
_ 2713
100.0%
Uppercase Letter
ValueCountFrequency (%)
H 1357
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21486
94.1%
Latin 1357
 
5.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10547
49.1%
1 3758
 
17.5%
_ 2713
 
12.6%
6 1785
 
8.3%
2 788
 
3.7%
3 576
 
2.7%
7 488
 
2.3%
4 446
 
2.1%
5 207
 
1.0%
8 153
 
0.7%
Latin
ValueCountFrequency (%)
H 1357
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22843
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10547
46.2%
1 3758
 
16.5%
_ 2713
 
11.9%
6 1785
 
7.8%
H 1357
 
5.9%
2 788
 
3.4%
3 576
 
2.5%
7 488
 
2.1%
4 446
 
2.0%
5 207
 
0.9%
Other values (2) 178
 
0.8%

통계항목명
Text

Distinct144
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2023-12-13T00:01:47.256821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length19
Mean length7.9137804
Min length1

Characters and Unicode

Total characters10739
Distinct characters202
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

Unique46 ?
Unique (%)3.4%

Sample

1st row외부포털
2nd row환경관리일반
3rd row환경산업통계조사
4th row환경산업통계조사
5th row환경산업통계조사
ValueCountFrequency (%)
생활폐기물 131
 
5.8%
및 93
 
4.1%
수질 85
 
3.7%
부문 83
 
3.6%
현황 70
 
3.1%
환경기초시설 65
 
2.9%
발생현황 64
 
2.8%
국민환경보건 64
 
2.8%
환경산업통계조사 63
 
2.8%
기초조사 62
 
2.7%
Other values (201) 1496
65.7%
2023-12-13T00:01:47.731698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
945
 
8.8%
기 540
 
5.0%
물 397
 
3.7%
경 335
 
3.1%
환 324
 
3.0%
생 323
 
3.0%
사 320
 
3.0%
수 298
 
2.8%
현 271
 
2.5%
황 271
 
2.5%
Other values (192) 6715
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9689
90.2%
Space Separator 945
 
8.8%
Decimal Number 59
 
0.5%
Connector Punctuation 19
 
0.2%
Close Punctuation 9
 
0.1%
Open Punctuation 9
 
0.1%
Uppercase Letter 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 540
 
5.6%
물 397
 
4.1%
경 335
 
3.5%
환 324
 
3.3%
생 323
 
3.3%
사 320
 
3.3%
수 298
 
3.1%
현 271
 
2.8%
황 271
 
2.8%
질 251
 
2.6%
Other values (175) 6359
65.6%
Decimal Number
ValueCountFrequency (%)
0 22
37.3%
2 14
23.7%
1 7
 
11.9%
8 6
 
10.2%
6 3
 
5.1%
9 2
 
3.4%
7 2
 
3.4%
3 1
 
1.7%
4 1
 
1.7%
5 1
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
M 3
33.3%
T 3
33.3%
S 3
33.3%
Space Separator
ValueCountFrequency (%)
945
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9689
90.2%
Common 1041
 
9.7%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 540
 
5.6%
물 397
 
4.1%
경 335
 
3.5%
환 324
 
3.3%
생 323
 
3.3%
사 320
 
3.3%
수 298
 
3.1%
현 271
 
2.8%
황 271
 
2.8%
질 251
 
2.6%
Other values (175) 6359
65.6%
Common
ValueCountFrequency (%)
945
90.8%
0 22
 
2.1%
_ 19
 
1.8%
2 14
 
1.3%
) 9
 
0.9%
( 9
 
0.9%
1 7
 
0.7%
8 6
 
0.6%
6 3
 
0.3%
9 2
 
0.2%
Other values (4) 5
 
0.5%
Latin
ValueCountFrequency (%)
M 3
33.3%
T 3
33.3%
S 3
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9689
90.2%
ASCII 1050
 
9.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
945
90.0%
0 22
 
2.1%
_ 19
 
1.8%
2 14
 
1.3%
) 9
 
0.9%
( 9
 
0.9%
1 7
 
0.7%
8 6
 
0.6%
6 3
 
0.3%
M 3
 
0.3%
Other values (7) 13
 
1.2%
Hangul
ValueCountFrequency (%)
기 540
 
5.6%
물 397
 
4.1%
경 335
 
3.5%
환 324
 
3.3%
생 323
 
3.3%
사 320
 
3.3%
수 298
 
3.1%
현 271
 
2.8%
황 271
 
2.8%
질 251
 
2.6%
Other values (175) 6359
65.6%

통계표아이디
Text

Distinct1311
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2023-12-13T00:01:47.977460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length16.94031
Min length1

Characters and Unicode

Total characters22988
Distinct characters26
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1294 ?
Unique (%)95.4%

Sample

1st row
2nd row
3rd rowDT_106N_16_0100020
4th rowDT_106N_16_0100021
5th rowDT_106N_16_0100022
ValueCountFrequency (%)
dt_106t_007897 2
 
0.2%
dt_106n_zzz_003141 2
 
0.2%
dt_106n_zzz_001131 2
 
0.2%
dt_106n_02_0200028 2
 
0.2%
dt_106n_02_0200030 2
 
0.2%
dt_106n_02_0200020 2
 
0.2%
dt_106t_008547 2
 
0.2%
dt_106n_zzz_001295 2
 
0.2%
dt_106n_02_0200021 2
 
0.2%
dt_106n_zzz_003256 2
 
0.2%
Other values (1300) 1306
98.5%
2023-12-13T00:01:48.397603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5620
24.4%
_ 3807
16.6%
1 2651
11.5%
6 1591
 
6.9%
T 1492
 
6.5%
D 1326
 
5.8%
N 1126
 
4.9%
Z 1073
 
4.7%
3 1008
 
4.4%
9 861
 
3.7%
Other values (16) 2433
10.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14068
61.2%
Uppercase Letter 5081
 
22.1%
Connector Punctuation 3807
 
16.6%
Space Separator 32
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T 1492
29.4%
D 1326
26.1%
N 1126
22.2%
Z 1073
21.1%
A 33
 
0.6%
B 8
 
0.2%
M 6
 
0.1%
L 3
 
0.1%
C 3
 
0.1%
O 3
 
0.1%
Other values (4) 8
 
0.2%
Decimal Number
ValueCountFrequency (%)
0 5620
39.9%
1 2651
18.8%
6 1591
 
11.3%
3 1008
 
7.2%
9 861
 
6.1%
2 832
 
5.9%
4 465
 
3.3%
5 394
 
2.8%
8 324
 
2.3%
7 322
 
2.3%
Connector Punctuation
ValueCountFrequency (%)
_ 3807
100.0%
Space Separator
ValueCountFrequency (%)
32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17907
77.9%
Latin 5081
 
22.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 1492
29.4%
D 1326
26.1%
N 1126
22.2%
Z 1073
21.1%
A 33
 
0.6%
B 8
 
0.2%
M 6
 
0.1%
L 3
 
0.1%
C 3
 
0.1%
O 3
 
0.1%
Other values (4) 8
 
0.2%
Common
ValueCountFrequency (%)
0 5620
31.4%
_ 3807
21.3%
1 2651
14.8%
6 1591
 
8.9%
3 1008
 
5.6%
9 861
 
4.8%
2 832
 
4.6%
4 465
 
2.6%
5 394
 
2.2%
8 324
 
1.8%
Other values (2) 354
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22988
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5620
24.4%
_ 3807
16.6%
1 2651
11.5%
6 1591
 
6.9%
T 1492
 
6.5%
D 1326
 
5.8%
N 1126
 
4.9%
Z 1073
 
4.7%
3 1008
 
4.4%
9 861
 
3.7%
Other values (16) 2433
10.6%

통계표명
Text

Distinct1266
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2023-12-13T00:01:48.723485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length43
Mean length19.223287
Min length1

Characters and Unicode

Total characters26086
Distinct characters429
Distinct categories14 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1221 ?
Unique (%)90.0%

Sample

1st row
2nd row
3rd row산업분류별 사업체수, 종사자수 및 매출액(2005~2008)
4th row산업분류별/환경보호활동별 환경부문 매출액(2005~2008)
5th row산업분류별/환경보호활동별 환경부문 매출액(환경제품생산)(2005~2008)
ValueCountFrequency (%)
및 178
 
3.9%
현황 118
 
2.6%
폐기물 101
 
2.2%
79
 
1.7%
중 67
 
1.5%
요 58
 
1.3%
발생량 53
 
1.2%
처리현황 51
 
1.1%
하천수의 44
 
1.0%
생활폐기물 43
 
1.0%
Other values (1529) 3724
82.5%
2023-12-13T00:01:49.156002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3255
 
12.5%
별 742
 
2.8%
) 719
 
2.8%
( 719
 
2.8%
0 680
 
2.6%
황 635
 
2.4%
현 620
 
2.4%
수 587
 
2.3%
물 522
 
2.0%
기 484
 
1.9%
Other values (419) 17123
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18160
69.6%
Space Separator 3255
 
12.5%
Decimal Number 2198
 
8.4%
Close Punctuation 719
 
2.8%
Open Punctuation 719
 
2.8%
Other Punctuation 326
 
1.2%
Uppercase Letter 243
 
0.9%
Math Symbol 224
 
0.9%
Connector Punctuation 113
 
0.4%
Dash Punctuation 88
 
0.3%
Other values (4) 41
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
별 742
 
4.1%
황 635
 
3.5%
현 620
 
3.4%
수 587
 
3.2%
물 522
 
2.9%
기 484
 
2.7%
도 395
 
2.2%
생 366
 
2.0%
시 354
 
1.9%
폐 347
 
1.9%
Other values (361) 13108
72.2%
Uppercase Letter
ValueCountFrequency (%)
P 52
21.4%
M 35
14.4%
O 22
9.1%
C 22
9.1%
H 17
 
7.0%
E 14
 
5.8%
S 11
 
4.5%
N 11
 
4.5%
R 11
 
4.5%
D 10
 
4.1%
Other values (8) 38
15.6%
Lowercase Letter
ValueCountFrequency (%)
p 5
15.6%
s 5
15.6%
t 4
12.5%
o 3
9.4%
n 3
9.4%
b 2
 
6.2%
z 2
 
6.2%
x 2
 
6.2%
ｘ 2
 
6.2%
c 2
 
6.2%
Other values (2) 2
 
6.2%
Decimal Number
ValueCountFrequency (%)
0 680
30.9%
2 455
20.7%
1 367
16.7%
9 293
13.3%
8 109
 
5.0%
6 80
 
3.6%
4 69
 
3.1%
7 51
 
2.3%
5 49
 
2.2%
3 45
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 127
39.0%
: 69
21.2%
· 64
19.6%
/ 29
 
8.9%
. 12
 
3.7%
& 11
 
3.4%
# 7
 
2.1%
; 7
 
2.1%
Other Number
ValueCountFrequency (%)
₂ 4
57.1%
₃ 3
42.9%
Space Separator
ValueCountFrequency (%)
3255
100.0%
Close Punctuation
ValueCountFrequency (%)
) 719
100.0%
Open Punctuation
ValueCountFrequency (%)
( 719
100.0%
Math Symbol
ValueCountFrequency (%)
~ 224
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 113
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18160
69.6%
Common 7651
29.3%
Latin 275
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
별 742
 
4.1%
황 635
 
3.5%
현 620
 
3.4%
수 587
 
3.2%
물 522
 
2.9%
기 484
 
2.7%
도 395
 
2.2%
생 366
 
2.0%
시 354
 
1.9%
폐 347
 
1.9%
Other values (361) 13108
72.2%
Latin
ValueCountFrequency (%)
P 52
18.9%
M 35
12.7%
O 22
 
8.0%
C 22
 
8.0%
H 17
 
6.2%
E 14
 
5.1%
S 11
 
4.0%
N 11
 
4.0%
R 11
 
4.0%
D 10
 
3.6%
Other values (20) 70
25.5%
Common
ValueCountFrequency (%)
3255
42.5%
) 719
 
9.4%
( 719
 
9.4%
0 680
 
8.9%
2 455
 
5.9%
1 367
 
4.8%
9 293
 
3.8%
~ 224
 
2.9%
, 127
 
1.7%
_ 113
 
1.5%
Other values (18) 699
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18160
69.6%
ASCII 7851
30.1%
None 73
 
0.3%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3255
41.5%
) 719
 
9.2%
( 719
 
9.2%
0 680
 
8.7%
2 455
 
5.8%
1 367
 
4.7%
9 293
 
3.7%
~ 224
 
2.9%
, 127
 
1.6%
_ 113
 
1.4%
Other values (42) 899
 
11.5%
Hangul
ValueCountFrequency (%)
별 742
 
4.1%
황 635
 
3.5%
현 620
 
3.4%
수 587
 
3.2%
물 522
 
2.9%
기 484
 
2.7%
도 395
 
2.2%
생 366
 
2.0%
시 354
 
1.9%
폐 347
 
1.9%
Other values (361) 13108
72.2%
None
ValueCountFrequency (%)
· 64
87.7%
₂ 4
 
5.5%
₃ 3
 
4.1%
ｘ 2
 
2.7%
Punctuation
ValueCountFrequency (%)
’ 1
50.0%
‘ 1
50.0%

최초 등록일
Text

Distinct262
Distinct (%)19.3%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2023-12-13T00:01:49.446367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.6949153
Min length1

Characters and Unicode

Total characters13156
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

Unique116 ?
Unique (%)8.5%

Sample

1st row
2nd row
3rd row2009-10-23
4th row2009-10-23
5th row2009-10-23
ValueCountFrequency (%)
2010-08-20 76
 
5.8%
2019-02-19 54
 
4.1%
2010-08-27 49
 
3.7%
2009-10-19 43
 
3.3%
2008-01-16 42
 
3.2%
2013-07-19 41
 
3.1%
2010-11-19 31
 
2.4%
2010-11-05 27
 
2.1%
2013-07-18 27
 
2.1%
2010-10-25 25
 
1.9%
Other values (251) 896
68.3%
2023-12-13T00:01:49.839643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3521
26.8%
- 2622
19.9%
1 2410
18.3%
2 2100
16.0%
8 643
 
4.9%
9 520
 
4.0%
7 402
 
3.1%
6 241
 
1.8%
5 240
 
1.8%
3 224
 
1.7%
Other values (2) 233
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10488
79.7%
Dash Punctuation 2622
 
19.9%
Space Separator 46
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3521
33.6%
1 2410
23.0%
2 2100
20.0%
8 643
 
6.1%
9 520
 
5.0%
7 402
 
3.8%
6 241
 
2.3%
5 240
 
2.3%
3 224
 
2.1%
4 187
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 2622
100.0%
Space Separator
ValueCountFrequency (%)
46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13156
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3521
26.8%
- 2622
19.9%
1 2410
18.3%
2 2100
16.0%
8 643
 
4.9%
9 520
 
4.0%
7 402
 
3.1%
6 241
 
1.8%
5 240
 
1.8%
3 224
 
1.7%
Other values (2) 233
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13156
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3521
26.8%
- 2622
19.9%
1 2410
18.3%
2 2100
16.0%
8 643
 
4.9%
9 520
 
4.0%
7 402
 
3.1%
6 241
 
1.8%
5 240
 
1.8%
3 224
 
1.7%
Other values (2) 233
 
1.8%

Missing values

2023-12-13T00:01:46.154620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:01:46.278019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

통계항목아이디통계항목명통계표아이디통계표명최초 등록일
0106H_01외부포털
1106H_01_001환경관리일반
2106H_01_001003환경산업통계조사DT_106N_16_0100020산업분류별 사업체수, 종사자수 및 매출액(2005~2008)2009-10-23
3106H_01_001003환경산업통계조사DT_106N_16_0100021산업분류별/환경보호활동별 환경부문 매출액(2005~2008)2009-10-23
4106H_01_001003환경산업통계조사DT_106N_16_0100022산업분류별/환경보호활동별 환경부문 매출액(환경제품생산)(2005~2008)2009-10-23
5106H_01_001003환경산업통계조사DT_106N_16_0100023산업분류별/환경보호활동별 환경부문 매출액(건설시공)(2005~2008)2009-10-23
6106H_01_001003환경산업통계조사DT_106N_16_0100024산업분류별/환경보호활동별 환경부문 매출액(서비스)(2005~2008)2009-10-23
7106H_01_001003환경산업통계조사DT_106N_16_0100030환경보호활동별 매출액(2004~2012)2010-01-21
8106H_01_001003환경산업통계조사DT_106N_16_0100025산업분류별 사업체수(조사업체)(2004~2008)2010-01-21
9106H_01_001003환경산업통계조사DT_106N_16_0100026산업분류별 매출액(조사업체)(2004~2008)2010-01-21
통계항목아이디통계항목명통계표아이디통계표명최초 등록일
1347106H_01_008004004국민환경보건 기초조사DT_106N_99_1100104요 중 마뇨산 농도(크레아티닌 보정)2019-02-19
1348106H_01_008004004국민환경보건 기초조사DT_106N_99_1100105요 중 메틸마뇨산 농도2019-02-19
1349106H_01_008004004국민환경보건 기초조사DT_106N_99_1100106요 중 메틸마뇨산 농도(크레아티닌 보정)2019-02-19
1350106H_01_008004004국민환경보건 기초조사DT_106N_99_1100107요 중 만델산 농도2019-02-19
1351106H_01_008004004국민환경보건 기초조사DT_106N_99_1100108요 중 만델산 농도(크레아티닌 보정)2019-02-19
1352106H_01_008004004국민환경보건 기초조사DT_106N_99_1100109요 중 페닐글리옥실산 농도2019-02-19
1353106H_01_008004004국민환경보건 기초조사DT_106N_99_1100110요 중 페닐글리옥실산 농도(크레아티닌 보정)2019-02-19
1354106H_01_008004004국민환경보건 기초조사DT_106N_99_1100111요 중 벤질머캅투르산 농도2019-02-19
1355106H_01_008004004국민환경보건 기초조사DT_106N_99_1100112요 중 벤질머캅투르산 농도(크레아티닌 보정)2019-02-19
1356106H_01_008005다이옥신 배출목록DT_106N_99_0300004다이옥신배출목록2010-06-28