Overview

Dataset statistics

Number of variables30
Number of observations3401
Missing cells19465
Missing cells (%)19.1%
Duplicate rows3
Duplicate rows (%)0.1%
Total size in memory880.3 KiB
Average record size in memory265.0 B

Variable types

Categorical8
Text2
Numeric20

Dataset

Description토양오염이 우려되는 해당 지역(산업단지 및 공장지역, 공장폐수유입지역, 원광석 고철 등의 보관사용지역, 금속제련소지역 등)에 대한 토양오염도(카드뮴, 구리, 비소 및 유류, 유기용제류 등) 분석결과
URLhttps://www.data.go.kr/data/15051962/fileData.do

Alerts

Dataset has 3 (0.1%) duplicate rowsDuplicates
년도 is highly imbalanced (98.7%)Imbalance
폴리클로리네이티드비페닐(PCBs)(mg_kg) is highly imbalanced (63.4%)Imbalance
카드뮴(mg_kg) has 144 (4.2%) missing valuesMissing
구리(mg_kg) has 143 (4.2%) missing valuesMissing
비소(mg_kg) has 149 (4.4%) missing valuesMissing
수은(mg_kg) has 154 (4.5%) missing valuesMissing
납(mg_kg) has 151 (4.4%) missing valuesMissing
6가크롬(mg_kg) has 164 (4.8%) missing valuesMissing
아연(mg_kg) has 136 (4.0%) missing valuesMissing
니켈(mg_kg) has 144 (4.2%) missing valuesMissing
불소(mg_kg) has 2068 (60.8%) missing valuesMissing
시안(mg_kg) has 1240 (36.5%) missing valuesMissing
페놀류(mg_kg) has 2286 (67.2%) missing valuesMissing
벤젠(mg_kg) has 1531 (45.0%) missing valuesMissing
톨루엔(mg_kg) has 1531 (45.0%) missing valuesMissing
에틸벤젠(mg_kg) has 1531 (45.0%) missing valuesMissing
크실렌(mg_kg) has 1531 (45.0%) missing valuesMissing
석유계총탄화수소(TPH)(mg_kg) has 1598 (47.0%) missing valuesMissing
트리클로로에틸렌(TCE)(mg_kg) has 1752 (51.5%) missing valuesMissing
벤조(a)피렌(mg_kg) has 3196 (94.0%) missing valuesMissing
구리(mg_kg) is highly skewed (γ1 = 31.77298335)Skewed
수은(mg_kg) is highly skewed (γ1 = 21.45648903)Skewed
납(mg_kg) is highly skewed (γ1 = 27.26441583)Skewed
아연(mg_kg) is highly skewed (γ1 = 27.84392326)Skewed
시안(mg_kg) is highly skewed (γ1 = 43.91725545)Skewed
페놀류(mg_kg) is highly skewed (γ1 = 32.05854913)Skewed
에틸벤젠(mg_kg) is highly skewed (γ1 = 38.54991763)Skewed
크실렌(mg_kg) is highly skewed (γ1 = 40.02081807)Skewed
트리클로로에틸렌(TCE)(mg_kg) is highly skewed (γ1 = 26.61531017)Skewed
카드뮴(mg_kg) has 980 (28.8%) zerosZeros
구리(mg_kg) has 47 (1.4%) zerosZeros
비소(mg_kg) has 901 (26.5%) zerosZeros
수은(mg_kg) has 1547 (45.5%) zerosZeros
6가크롬(mg_kg) has 3071 (90.3%) zerosZeros
불소(mg_kg) has 55 (1.6%) zerosZeros
시안(mg_kg) has 2126 (62.5%) zerosZeros
페놀류(mg_kg) has 1063 (31.3%) zerosZeros
벤젠(mg_kg) has 1841 (54.1%) zerosZeros
톨루엔(mg_kg) has 1721 (50.6%) zerosZeros
에틸벤젠(mg_kg) has 1820 (53.5%) zerosZeros
크실렌(mg_kg) has 1819 (53.5%) zerosZeros
석유계총탄화수소(TPH)(mg_kg) has 942 (27.7%) zerosZeros
트리클로로에틸렌(TCE)(mg_kg) has 1613 (47.4%) zerosZeros
벤조(a)피렌(mg_kg) has 161 (4.7%) zerosZeros

Reproduction

Analysis started2023-12-12 07:25:41.292804
Analysis finished2023-12-12 07:25:41.977017
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.7 KiB
2021
3397 
<NA>
 
4

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 3397
99.9%
<NA> 4
 
0.1%

Length

2023-12-12T16:25:42.036990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:25:42.139495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 3397
99.9%
na 4
 
0.1%

지점명칭
Text

Distinct2527
Distinct (%)74.4%
Missing4
Missing (%)0.1%
Memory size26.7 KiB
2023-12-12T16:25:42.376241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length8.0044157
Min length2

Characters and Unicode

Total characters27191
Distinct characters601
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1878 ?
Unique (%)55.3%

Sample

1st row알파색채(주)
2nd row평화당인쇄(주)
3rd row101경비단
4th row(주)대양씨앤씨 사직주유소
5th row나경운수
ValueCountFrequency (%)
주변 33
 
0.8%
캠프 32
 
0.8%
인근 31
 
0.7%
주차장 31
 
0.7%
발생지역 22
 
0.5%
사고 22
 
0.5%
신축공사 14
 
0.3%
사용종료 14
 
0.3%
현대오일뱅크(주)직영 12
 
0.3%
주유소 11
 
0.3%
Other values (2803) 4026
94.8%
2023-12-12T16:25:42.772903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1349
 
5.0%
851
 
3.1%
공 802
 
2.9%
) 766
 
2.8%
( 764
 
2.8%
유 647
 
2.4%
소 630
 
2.3%
원 592
 
2.2%
장 583
 
2.1%
지 554
 
2.0%
Other values (591) 19653
72.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23910
87.9%
Space Separator 851
 
3.1%
Close Punctuation 767
 
2.8%
Open Punctuation 765
 
2.8%
Decimal Number 365
 
1.3%
Uppercase Letter 255
 
0.9%
Other Symbol 216
 
0.8%
Lowercase Letter 25
 
0.1%
Other Punctuation 22
 
0.1%
Dash Punctuation 14
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1349
 
5.6%
공 802
 
3.4%
유 647
 
2.7%
소 630
 
2.6%
원 592
 
2.5%
장 583
 
2.4%
지 554
 
2.3%
이 445
 
1.9%
산 421
 
1.8%
업 403
 
1.7%
Other values (540) 17484
73.1%
Uppercase Letter
ValueCountFrequency (%)
S 47
18.4%
K 45
17.6%
C 36
14.1%
G 18
 
7.1%
P 12
 
4.7%
T 12
 
4.7%
M 12
 
4.7%
A 11
 
4.3%
L 11
 
4.3%
E 9
 
3.5%
Other values (12) 42
16.5%
Decimal Number
ValueCountFrequency (%)
2 98
26.8%
1 88
24.1%
3 41
11.2%
6 25
 
6.8%
5 23
 
6.3%
8 20
 
5.5%
4 20
 
5.5%
0 19
 
5.2%
7 18
 
4.9%
9 13
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
s 6
24.0%
e 5
20.0%
k 4
16.0%
l 4
16.0%
f 3
12.0%
c 2
 
8.0%
t 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
. 9
40.9%
& 5
22.7%
, 4
18.2%
/ 4
18.2%
Close Punctuation
ValueCountFrequency (%)
) 766
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 764
99.9%
[ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
851
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 216
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24126
88.7%
Common 2785
 
10.2%
Latin 280
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1349
 
5.6%
공 802
 
3.3%
유 647
 
2.7%
소 630
 
2.6%
원 592
 
2.5%
장 583
 
2.4%
지 554
 
2.3%
이 445
 
1.8%
산 421
 
1.7%
업 403
 
1.7%
Other values (541) 17700
73.4%
Latin
ValueCountFrequency (%)
S 47
16.8%
K 45
16.1%
C 36
12.9%
G 18
 
6.4%
P 12
 
4.3%
T 12
 
4.3%
M 12
 
4.3%
A 11
 
3.9%
L 11
 
3.9%
E 9
 
3.2%
Other values (19) 67
23.9%
Common
ValueCountFrequency (%)
851
30.6%
) 766
27.5%
( 764
27.4%
2 98
 
3.5%
1 88
 
3.2%
3 41
 
1.5%
6 25
 
0.9%
5 23
 
0.8%
8 20
 
0.7%
4 20
 
0.7%
Other values (11) 89
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23910
87.9%
ASCII 3065
 
11.3%
None 216
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1349
 
5.6%
공 802
 
3.4%
유 647
 
2.7%
소 630
 
2.6%
원 592
 
2.5%
장 583
 
2.4%
지 554
 
2.3%
이 445
 
1.9%
산 421
 
1.8%
업 403
 
1.7%
Other values (540) 17484
73.1%
ASCII
ValueCountFrequency (%)
851
27.8%
) 766
25.0%
( 764
24.9%
2 98
 
3.2%
1 88
 
2.9%
S 47
 
1.5%
K 45
 
1.5%
3 41
 
1.3%
C 36
 
1.2%
6 25
 
0.8%
Other values (40) 304
 
9.9%
None
ValueCountFrequency (%)
㈜ 216
100.0%

목적
Categorical

Distinct17
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size26.7 KiB
산업단지 및 공장지역
572 
교통관련시설지역
503 
어린이 놀이시설지역
464 
폐기물 처리 및 재활용 관련 지역
393 
노후·방치 주유소 지역
367 
Other values (12)
1102 

Length

Max length21
Median length17
Mean length11.533961
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row산업단지 및 공장지역
2nd row산업단지 및 공장지역
3rd row교통관련시설지역
4th row노후·방치 주유소 지역
5th row교통관련시설지역

Common Values

ValueCountFrequency (%)
산업단지 및 공장지역 572
16.8%
교통관련시설지역 503
14.8%
어린이 놀이시설지역 464
13.6%
폐기물 처리 및 재활용 관련 지역 393
11.6%
노후·방치 주유소 지역 367
10.8%
공장폐수 유입지역 264
7.8%
토지개발지역 245
7.2%
원광석·고철 등의 보관·사용지역 145
 
4.3%
사고·민원 등 발생지역 132
 
3.9%
철도관련 시설 및 철도 폐침목 사용지역 98
 
2.9%
Other values (7) 218
 
6.4%

Length

2023-12-12T16:25:43.213267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
및 1118
 
11.7%
지역 765
 
8.0%
산업단지 637
 
6.7%
공장지역 572
 
6.0%
교통관련시설지역 503
 
5.3%
어린이 464
 
4.9%
놀이시설지역 464
 
4.9%
폐기물 393
 
4.1%
처리 393
 
4.1%
재활용 393
 
4.1%
Other values (32) 3834
40.2%

지목
Categorical

Distinct28
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size26.7 KiB
공장용지
709 
잡종지(3지역)
396 
주유소용지
395 
대지(2지역)
387 
공원용지
309 
Other values (23)
1205 

Length

Max length8
Median length7
Mean length4.7336078
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row대지(2지역)
2nd row대지(2지역)
3rd row대지(2지역)
4th row주유소용지
5th row대지(2지역)

Common Values

ValueCountFrequency (%)
공장용지 709
20.8%
잡종지(3지역) 396
11.6%
주유소용지 395
11.6%
대지(2지역) 387
11.4%
공원용지 309
9.1%
답 207
 
6.1%
학교용지 155
 
4.6%
임야 142
 
4.2%
잡종지(2지역) 138
 
4.1%
대지(1지역) 123
 
3.6%
Other values (18) 440
12.9%

Length

2023-12-12T16:25:43.335392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공장용지 709
20.8%
잡종지(3지역 396
11.6%
주유소용지 395
11.6%
대지(2지역 387
11.4%
공원용지 309
9.1%
답 207
 
6.1%
학교용지 155
 
4.6%
임야 142
 
4.2%
잡종지(2지역 138
 
4.1%
대지(1지역 123
 
3.6%
Other values (18) 440
12.9%

지역
Categorical

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size26.7 KiB
3지역
1656 
1지역
837 
2지역
715 
[어린이놀이시설(실외설치)] 1지역
 
133
[국방, 군사시설 부지] 3지역
 
56

Length

Max length19
Median length3
Mean length3.8573949
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2지역
2nd row2지역
3rd row2지역
4th row3지역
5th row2지역

Common Values

ValueCountFrequency (%)
3지역 1656
48.7%
1지역 837
24.6%
2지역 715
21.0%
[어린이놀이시설(실외설치)] 1지역 133
 
3.9%
[국방, 군사시설 부지] 3지역 56
 
1.6%
<NA> 4
 
0.1%

Length

2023-12-12T16:25:43.456554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:25:43.562627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3지역 1712
46.2%
1지역 970
26.2%
2지역 715
19.3%
어린이놀이시설(실외설치 133
 
3.6%
국방 56
 
1.5%
군사시설 56
 
1.5%
부지 56
 
1.5%
na 4
 
0.1%

면적(제곱미터)
Real number (ℝ)

Distinct2301
Distinct (%)67.7%
Missing4
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean32692.845
Minimum19
Maximum1811265
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.0 KiB
2023-12-12T16:25:43.689360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile349.6
Q11231
median3821
Q316578.8
95-th percentile157531.2
Maximum1811265
Range1811246
Interquartile range (IQR)15347.8

Descriptive statistics

Standard deviation110325.13
Coefficient of variation (CV)3.3745956
Kurtosis91.743577
Mean32692.845
Median Absolute Deviation (MAD)3193
Skewness8.2796123
Sum1.1105759 × 108
Variance1.2171634 × 1010
MonotonicityNot monotonic
2023-12-12T16:25:43.834712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30400.0 9
 
0.3%
626183.0 8
 
0.2%
100000.0 8
 
0.2%
145164.0 8
 
0.2%
155674.0 8
 
0.2%
130291.0 8
 
0.2%
271314.0 8
 
0.2%
95900.0 8
 
0.2%
284299.0 8
 
0.2%
170740.0 8
 
0.2%
Other values (2291) 3316
97.5%
ValueCountFrequency (%)
19.0 1
< 0.1%
41.0 1
< 0.1%
48.0 1
< 0.1%
50.0 1
< 0.1%
52.0 1
< 0.1%
62.1 1
< 0.1%
72.0 2
0.1%
79.0 1
< 0.1%
81.0 1
< 0.1%
87.0 1
< 0.1%
ValueCountFrequency (%)
1811265.0 2
 
0.1%
1586260.0 1
 
< 0.1%
1422010.0 1
 
< 0.1%
1360105.0 1
 
< 0.1%
1094718.0 7
0.2%
969281.0 1
 
< 0.1%
960000.0 2
 
0.1%
941649.0 1
 
< 0.1%
761568.0 1
 
< 0.1%
703709.0 1
 
< 0.1%

시료깊이(m)
Text

Distinct192
Distinct (%)5.7%
Missing4
Missing (%)0.1%
Memory size26.7 KiB
2023-12-12T16:25:44.086379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length4.1027377
Min length1

Characters and Unicode

Total characters13937
Distinct characters37
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)1.7%

Sample

1st row0.3~3
2nd row0.3~3
3rd row0.3~3
4th row0.3~5
5th row0.3~1
ValueCountFrequency (%)
표토 1029
29.6%
0.3~3 282
 
8.1%
0-1 185
 
5.3%
심토 148
 
4.3%
0.15 137
 
3.9%
표토(15cm 83
 
2.4%
0~0.15 76
 
2.2%
0.3~5 70
 
2.0%
0-1m 62
 
1.8%
중토 59
 
1.7%
Other values (183) 1345
38.7%
2023-12-12T16:25:44.498881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2241
16.1%
토 1541
11.1%
. 1531
11.0%
표 1273
9.1%
5 1201
8.6%
1 1163
8.3%
3 1052
7.5%
~ 905
6.5%
- 695
 
5.0%
m 634
 
4.5%
Other values (27) 1701
12.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6170
44.3%
Other Letter 3201
23.0%
Other Punctuation 1563
 
11.2%
Math Symbol 912
 
6.5%
Lowercase Letter 862
 
6.2%
Dash Punctuation 695
 
5.0%
Open Punctuation 224
 
1.6%
Close Punctuation 223
 
1.6%
Space Separator 79
 
0.6%
Other Symbol 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
토 1541
48.1%
표 1273
39.8%
심 184
 
5.7%
중 94
 
2.9%
간 32
 
1.0%
층 30
 
0.9%
이 20
 
0.6%
상 19
 
0.6%
약 3
 
0.1%
채 1
 
< 0.1%
Other values (4) 4
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 2241
36.3%
5 1201
19.5%
1 1163
18.8%
3 1052
17.1%
2 248
 
4.0%
4 203
 
3.3%
6 33
 
0.5%
7 22
 
0.4%
9 6
 
0.1%
8 1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
. 1531
98.0%
, 21
 
1.3%
: 11
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
m 634
73.5%
c 224
 
26.0%
ｍ 4
 
0.5%
Math Symbol
ValueCountFrequency (%)
~ 905
99.2%
∼ 7
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 695
100.0%
Open Punctuation
ValueCountFrequency (%)
( 224
100.0%
Close Punctuation
ValueCountFrequency (%)
) 223
100.0%
Space Separator
ValueCountFrequency (%)
79
100.0%
Other Symbol
ValueCountFrequency (%)
㎝ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9874
70.8%
Hangul 3201
 
23.0%
Latin 862
 
6.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2241
22.7%
. 1531
15.5%
5 1201
12.2%
1 1163
11.8%
3 1052
10.7%
~ 905
9.2%
- 695
 
7.0%
2 248
 
2.5%
( 224
 
2.3%
) 223
 
2.3%
Other values (10) 391
 
4.0%
Hangul
ValueCountFrequency (%)
토 1541
48.1%
표 1273
39.8%
심 184
 
5.7%
중 94
 
2.9%
간 32
 
1.0%
층 30
 
0.9%
이 20
 
0.6%
상 19
 
0.6%
약 3
 
0.1%
채 1
 
< 0.1%
Other values (4) 4
 
0.1%
Latin
ValueCountFrequency (%)
m 634
73.5%
c 224
 
26.0%
ｍ 4
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10717
76.9%
Hangul 3201
 
23.0%
CJK Compat 8
 
0.1%
Math Operators 7
 
0.1%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2241
20.9%
. 1531
14.3%
5 1201
11.2%
1 1163
10.9%
3 1052
9.8%
~ 905
8.4%
- 695
 
6.5%
m 634
 
5.9%
2 248
 
2.3%
c 224
 
2.1%
Other values (10) 823
 
7.7%
Hangul
ValueCountFrequency (%)
토 1541
48.1%
표 1273
39.8%
심 184
 
5.7%
중 94
 
2.9%
간 32
 
1.0%
층 30
 
0.9%
이 20
 
0.6%
상 19
 
0.6%
약 3
 
0.1%
채 1
 
< 0.1%
Other values (4) 4
 
0.1%
CJK Compat
ValueCountFrequency (%)
㎝ 8
100.0%
Math Operators
ValueCountFrequency (%)
∼ 7
100.0%
None
ValueCountFrequency (%)
ｍ 4
100.0%

카드뮴(mg_kg)
Real number (ℝ)

MISSING  ZEROS 

Distinct330
Distinct (%)10.1%
Missing144
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean0.62047283
Minimum0
Maximum18.29
Zeros980
Zeros (%)28.8%
Negative0
Negative (%)0.0%
Memory size30.0 KiB
2023-12-12T16:25:44.645885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.27
Q30.91
95-th percentile2.29
Maximum18.29
Range18.29
Interquartile range (IQR)0.91

Descriptive statistics

Standard deviation0.91608015
Coefficient of variation (CV)1.4764227
Kurtosis57.004471
Mean0.62047283
Median Absolute Deviation (MAD)0.27
Skewness4.8260993
Sum2020.88
Variance0.83920285
MonotonicityNot monotonic
2023-12-12T16:25:44.785544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 980
28.8%
0.13 56
 
1.6%
0.17 50
 
1.5%
0.2 47
 
1.4%
0.15 44
 
1.3%
0.12 43
 
1.3%
0.16 41
 
1.2%
0.14 40
 
1.2%
0.18 34
 
1.0%
0.23 34
 
1.0%
Other values (320) 1888
55.5%
(Missing) 144
 
4.2%
ValueCountFrequency (%)
0.0 980
28.8%
0.1 27
 
0.8%
0.11 32
 
0.9%
0.12 43
 
1.3%
0.13 56
 
1.6%
0.14 40
 
1.2%
0.15 44
 
1.3%
0.16 41
 
1.2%
0.17 50
 
1.5%
0.18 34
 
1.0%
ValueCountFrequency (%)
18.29 1
< 0.1%
10.57 1
< 0.1%
10.46 1
< 0.1%
9.01 1
< 0.1%
7.5 1
< 0.1%
7.18 1
< 0.1%
6.11 1
< 0.1%
5.8 1
< 0.1%
5.72 1
< 0.1%
5.57 1
< 0.1%

구리(mg_kg)
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct750
Distinct (%)23.0%
Missing143
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean32.248926
Minimum0
Maximum5919.2
Zeros47
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size30.0 KiB
2023-12-12T16:25:44.916108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19.9
median17.9
Q332.875
95-th percentile69.83
Maximum5919.2
Range5919.2
Interquartile range (IQR)22.975

Descriptive statistics

Standard deviation134.57263
Coefficient of variation (CV)4.1729336
Kurtosis1253.1706
Mean32.248926
Median Absolute Deviation (MAD)10
Skewness31.772983
Sum105067
Variance18109.792
MonotonicityNot monotonic
2023-12-12T16:25:45.066065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 47
 
1.4%
13.5 19
 
0.6%
7.7 17
 
0.5%
15.4 17
 
0.5%
7.3 17
 
0.5%
6.1 16
 
0.5%
13.0 16
 
0.5%
11.9 16
 
0.5%
13.8 15
 
0.4%
10.3 15
 
0.4%
Other values (740) 3063
90.1%
(Missing) 143
 
4.2%
ValueCountFrequency (%)
0.0 47
1.4%
1.0 2
 
0.1%
1.1 2
 
0.1%
1.2 4
 
0.1%
1.3 6
 
0.2%
1.4 5
 
0.1%
1.5 4
 
0.1%
1.6 7
 
0.2%
1.7 3
 
0.1%
1.8 6
 
0.2%
ValueCountFrequency (%)
5919.2 1
< 0.1%
3395.2 1
< 0.1%
1354.0 1
< 0.1%
1251.1 1
< 0.1%
1237.3 1
< 0.1%
1119.9 1
< 0.1%
817.4 1
< 0.1%
763.2 1
< 0.1%
660.5 1
< 0.1%
644.9 1
< 0.1%

비소(mg_kg)
Real number (ℝ)

MISSING  ZEROS 

Distinct1044
Distinct (%)32.1%
Missing149
Missing (%)4.4%
Infinite0
Infinite (%)0.0%
Mean5.362786
Minimum0
Maximum394.05
Zeros901
Zeros (%)26.5%
Negative0
Negative (%)0.0%
Memory size30.0 KiB
2023-12-12T16:25:45.239878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.765
Q36.55
95-th percentile13.648
Maximum394.05
Range394.05
Interquartile range (IQR)6.55

Descriptive statistics

Standard deviation13.881072
Coefficient of variation (CV)2.5884068
Kurtosis403.14171
Mean5.362786
Median Absolute Deviation (MAD)3.13
Skewness17.564285
Sum17439.78
Variance192.68415
MonotonicityNot monotonic
2023-12-12T16:25:45.443334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 901
 
26.5%
4.05 9
 
0.3%
1.6 9
 
0.3%
2.62 9
 
0.3%
4.33 8
 
0.2%
2.63 8
 
0.2%
4.43 8
 
0.2%
3.48 8
 
0.2%
4.41 7
 
0.2%
6.53 7
 
0.2%
Other values (1034) 2278
67.0%
(Missing) 149
 
4.4%
ValueCountFrequency (%)
0.0 901
26.5%
0.44 1
 
< 0.1%
0.5 1
 
< 0.1%
0.54 1
 
< 0.1%
0.71 1
 
< 0.1%
0.83 1
 
< 0.1%
0.96 1
 
< 0.1%
1.11 1
 
< 0.1%
1.13 1
 
< 0.1%
1.15 1
 
< 0.1%
ValueCountFrequency (%)
394.05 1
< 0.1%
341.51 1
< 0.1%
319.54 1
< 0.1%
188.57 1
< 0.1%
185.13 1
< 0.1%
148.17 1
< 0.1%
132.62 1
< 0.1%
130.17 1
< 0.1%
120.98 1
< 0.1%
108.24 1
< 0.1%

수은(mg_kg)
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct86
Distinct (%)2.6%
Missing154
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean0.052737912
Minimum0
Maximum8.44
Zeros1547
Zeros (%)45.5%
Negative0
Negative (%)0.0%
Memory size30.0 KiB
2023-12-12T16:25:45.601829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.05
95-th percentile0.18
Maximum8.44
Range8.44
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.24504414
Coefficient of variation (CV)4.6464513
Kurtosis618.76552
Mean0.052737912
Median Absolute Deviation (MAD)0.01
Skewness21.456489
Sum171.24
Variance0.06004663
MonotonicityNot monotonic
2023-12-12T16:25:45.758987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1547
45.5%
0.02 333
 
9.8%
0.01 213
 
6.3%
0.03 205
 
6.0%
0.04 136
 
4.0%
0.06 132
 
3.9%
0.05 128
 
3.8%
0.07 79
 
2.3%
0.08 54
 
1.6%
0.09 46
 
1.4%
Other values (76) 374
 
11.0%
(Missing) 154
 
4.5%
ValueCountFrequency (%)
0.0 1547
45.5%
0.01 213
 
6.3%
0.02 333
 
9.8%
0.03 205
 
6.0%
0.04 136
 
4.0%
0.05 128
 
3.8%
0.06 132
 
3.9%
0.07 79
 
2.3%
0.08 54
 
1.6%
0.09 46
 
1.4%
ValueCountFrequency (%)
8.44 1
< 0.1%
6.71 1
< 0.1%
3.67 1
< 0.1%
2.68 1
< 0.1%
2.54 1
< 0.1%
2.38 1
< 0.1%
2.06 1
< 0.1%
1.99 1
< 0.1%
1.79 1
< 0.1%
1.66 1
< 0.1%

납(mg_kg)
Real number (ℝ)

MISSING  SKEWED 

Distinct685
Distinct (%)21.1%
Missing151
Missing (%)4.4%
Infinite0
Infinite (%)0.0%
Mean30.120031
Minimum0
Maximum3973.4
Zeros6
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size30.0 KiB
2023-12-12T16:25:45.960740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.9
Q113
median18.8
Q327.8
95-th percentile69.3
Maximum3973.4
Range3973.4
Interquartile range (IQR)14.8

Descriptive statistics

Standard deviation100.10333
Coefficient of variation (CV)3.3234804
Kurtosis917.90569
Mean30.120031
Median Absolute Deviation (MAD)6.7
Skewness27.264416
Sum97890.1
Variance10020.677
MonotonicityNot monotonic
2023-12-12T16:25:46.123994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.1 21
 
0.6%
19.3 20
 
0.6%
10.7 19
 
0.6%
17.5 19
 
0.6%
15.1 19
 
0.6%
20.6 19
 
0.6%
13.1 18
 
0.5%
12.3 18
 
0.5%
17.3 18
 
0.5%
13.0 18
 
0.5%
Other values (675) 3061
90.0%
(Missing) 151
 
4.4%
ValueCountFrequency (%)
0.0 6
0.2%
1.6 1
 
< 0.1%
1.8 1
 
< 0.1%
1.9 2
 
0.1%
2.1 1
 
< 0.1%
2.2 1
 
< 0.1%
2.3 1
 
< 0.1%
2.4 2
 
0.1%
2.5 1
 
< 0.1%
2.6 1
 
< 0.1%
ValueCountFrequency (%)
3973.4 1
< 0.1%
2401.8 1
< 0.1%
2232.4 1
< 0.1%
1187.6 1
< 0.1%
923.8 1
< 0.1%
685.0 1
< 0.1%
527.0 1
< 0.1%
485.9 1
< 0.1%
454.4 1
< 0.1%
453.6 1
< 0.1%

6가크롬(mg_kg)
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)0.5%
Missing164
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean0.065430955
Minimum0
Maximum11.2
Zeros3071
Zeros (%)90.3%
Negative0
Negative (%)0.0%
Memory size30.0 KiB
2023-12-12T16:25:46.268045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.82
Maximum11.2
Range11.2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.37401776
Coefficient of variation (CV)5.7162204
Kurtosis305.78732
Mean0.065430955
Median Absolute Deviation (MAD)0
Skewness13.639491
Sum211.8
Variance0.13988928
MonotonicityNot monotonic
2023-12-12T16:25:46.367486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 3071
90.3%
1.0 137
 
4.0%
2.0 14
 
0.4%
0.9 2
 
0.1%
4.0 2
 
0.1%
0.5 1
 
< 0.1%
1.1 1
 
< 0.1%
3.0 1
 
< 0.1%
0.8 1
 
< 0.1%
0.6 1
 
< 0.1%
Other values (6) 6
 
0.2%
(Missing) 164
 
4.8%
ValueCountFrequency (%)
0.0 3071
90.3%
0.5 1
 
< 0.1%
0.6 1
 
< 0.1%
0.7 1
 
< 0.1%
0.8 1
 
< 0.1%
0.9 2
 
0.1%
1.0 137
 
4.0%
1.1 1
 
< 0.1%
2.0 14
 
0.4%
2.1 1
 
< 0.1%
ValueCountFrequency (%)
11.2 1
 
< 0.1%
6.4 1
 
< 0.1%
6.0 1
 
< 0.1%
4.6 1
 
< 0.1%
4.0 2
 
0.1%
3.0 1
 
< 0.1%
2.1 1
 
< 0.1%
2.0 14
 
0.4%
1.1 1
 
< 0.1%
1.0 137
4.0%

아연(mg_kg)
Real number (ℝ)

MISSING  SKEWED 

Distinct1491
Distinct (%)45.7%
Missing136
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean132.12199
Minimum9.6
Maximum15184.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.0 KiB
2023-12-12T16:25:46.478210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.6
5-th percentile42.12
Q165.9
median87.4
Q3119.9
95-th percentile265.32
Maximum15184.1
Range15174.5
Interquartile range (IQR)54

Descriptive statistics

Standard deviation458.99611
Coefficient of variation (CV)3.4740327
Kurtosis858.75172
Mean132.12199
Median Absolute Deviation (MAD)25.6
Skewness27.843923
Sum431378.3
Variance210677.43
MonotonicityNot monotonic
2023-12-12T16:25:46.621331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80.0 10
 
0.3%
74.3 10
 
0.3%
80.5 10
 
0.3%
70.5 9
 
0.3%
86.0 9
 
0.3%
56.3 9
 
0.3%
78.5 9
 
0.3%
78.4 9
 
0.3%
69.2 8
 
0.2%
71.3 8
 
0.2%
Other values (1481) 3174
93.3%
(Missing) 136
 
4.0%
ValueCountFrequency (%)
9.6 1
< 0.1%
10.0 1
< 0.1%
14.0 1
< 0.1%
14.5 1
< 0.1%
14.9 1
< 0.1%
17.2 1
< 0.1%
17.5 1
< 0.1%
17.6 1
< 0.1%
18.0 1
< 0.1%
18.1 1
< 0.1%
ValueCountFrequency (%)
15184.1 1
< 0.1%
14820.2 1
< 0.1%
12879.6 1
< 0.1%
3719.3 1
< 0.1%
2896.9 1
< 0.1%
2849.6 1
< 0.1%
1810.7 1
< 0.1%
1798.1 1
< 0.1%
1704.0 1
< 0.1%
1669.8 1
< 0.1%

니켈(mg_kg)
Real number (ℝ)

MISSING 

Distinct574
Distinct (%)17.6%
Missing144
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean17.702303
Minimum0
Maximum384.1
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size30.0 KiB
2023-12-12T16:25:46.771750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.5
Q16.9
median12.3
Q323.1
95-th percentile47.82
Maximum384.1
Range384.1
Interquartile range (IQR)16.2

Descriptive statistics

Standard deviation19.135225
Coefficient of variation (CV)1.0809455
Kurtosis83.934764
Mean17.702303
Median Absolute Deviation (MAD)6.8
Skewness6.2850771
Sum57656.4
Variance366.15682
MonotonicityNot monotonic
2023-12-12T16:25:46.910028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.5 28
 
0.8%
4.5 25
 
0.7%
8.8 25
 
0.7%
10.5 25
 
0.7%
5.4 23
 
0.7%
6.4 22
 
0.6%
4.2 22
 
0.6%
4.9 22
 
0.6%
3.3 21
 
0.6%
2.4 21
 
0.6%
Other values (564) 3023
88.9%
(Missing) 144
 
4.2%
ValueCountFrequency (%)
0.0 2
 
0.1%
0.4 3
0.1%
0.6 3
0.1%
0.7 5
0.1%
0.8 6
0.2%
0.9 5
0.1%
1.0 1
 
< 0.1%
1.1 5
0.1%
1.2 4
0.1%
1.3 7
0.2%
ValueCountFrequency (%)
384.1 1
< 0.1%
339.2 1
< 0.1%
270.1 1
< 0.1%
191.8 1
< 0.1%
190.8 1
< 0.1%
176.4 1
< 0.1%
162.8 1
< 0.1%
152.3 1
< 0.1%
147.7 1
< 0.1%
129.4 1
< 0.1%

불소(mg_kg)
Real number (ℝ)

MISSING  ZEROS 

Distinct490
Distinct (%)36.8%
Missing2068
Missing (%)60.8%
Infinite0
Infinite (%)0.0%
Mean267.42986
Minimum0
Maximum800
Zeros55
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size30.0 KiB
2023-12-12T16:25:47.072323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22
Q1165
median259
Q3356
95-th percentile538.4
Maximum800
Range800
Interquartile range (IQR)191

Descriptive statistics

Standard deviation152.25802
Coefficient of variation (CV)0.56933813
Kurtosis0.44406653
Mean267.42986
Median Absolute Deviation (MAD)95
Skewness0.55009657
Sum356484
Variance23182.504
MonotonicityNot monotonic
2023-12-12T16:25:47.209384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55
 
1.6%
255 8
 
0.2%
274 8
 
0.2%
240 8
 
0.2%
197 7
 
0.2%
163 7
 
0.2%
134 7
 
0.2%
365 7
 
0.2%
280 7
 
0.2%
188 7
 
0.2%
Other values (480) 1212
35.6%
(Missing) 2068
60.8%
ValueCountFrequency (%)
0 55
1.6%
11 1
 
< 0.1%
12 3
 
0.1%
16 1
 
< 0.1%
17 1
 
< 0.1%
19 2
 
0.1%
21 3
 
0.1%
22 2
 
0.1%
24 2
 
0.1%
25 1
 
< 0.1%
ValueCountFrequency (%)
800 1
< 0.1%
781 1
< 0.1%
775 1
< 0.1%
771 1
< 0.1%
769 1
< 0.1%
764 1
< 0.1%
761 1
< 0.1%
759 1
< 0.1%
750 1
< 0.1%
736 1
< 0.1%

유기인(mg_kg)
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.7 KiB
<NA>
2725 
0
676 

Length

Max length4
Median length4
Mean length3.4037048
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2725
80.1%
0 676
 
19.9%

Length

2023-12-12T16:25:47.343150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:25:47.439014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2725
80.1%
0 676
 
19.9%

폴리클로리네이티드비페닐(PCBs)(mg_kg)
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.7 KiB
<NA>
2715 
0.0
684 
0.19
 
1
0.06
 
1

Length

Max length4
Median length4
Mean length3.7988827
Min length3

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row0.0
2nd row0.0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2715
79.8%
0.0 684
 
20.1%
0.19 1
 
< 0.1%
0.06 1
 
< 0.1%

Length

2023-12-12T16:25:47.544085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:25:47.682863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2715
79.8%
0.0 684
 
20.1%
0.19 1
 
< 0.1%
0.06 1
 
< 0.1%

시안(mg_kg)
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct7
Distinct (%)0.3%
Missing1240
Missing (%)36.5%
Infinite0
Infinite (%)0.0%
Mean0.02003702
Minimum0
Maximum28
Zeros2126
Zeros (%)62.5%
Negative0
Negative (%)0.0%
Memory size30.0 KiB
2023-12-12T16:25:47.771320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum28
Range28
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.61532226
Coefficient of variation (CV)30.70927
Kurtosis1985.0006
Mean0.02003702
Median Absolute Deviation (MAD)0
Skewness43.917255
Sum43.3
Variance0.37862148
MonotonicityNot monotonic
2023-12-12T16:25:47.863121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 2126
62.5%
0.2 16
 
0.5%
0.3 9
 
0.3%
0.4 5
 
0.1%
0.6 3
 
0.1%
28.0 1
 
< 0.1%
5.6 1
 
< 0.1%
(Missing) 1240
36.5%
ValueCountFrequency (%)
0.0 2126
62.5%
0.2 16
 
0.5%
0.3 9
 
0.3%
0.4 5
 
0.1%
0.6 3
 
0.1%
5.6 1
 
< 0.1%
28.0 1
 
< 0.1%
ValueCountFrequency (%)
28.0 1
 
< 0.1%
5.6 1
 
< 0.1%
0.6 3
 
0.1%
0.4 5
 
0.1%
0.3 9
 
0.3%
0.2 16
 
0.5%
0.0 2126
62.5%

페놀류(mg_kg)
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct13
Distinct (%)1.2%
Missing2286
Missing (%)67.2%
Infinite0
Infinite (%)0.0%
Mean0.0044394619
Minimum0
Maximum2.41
Zeros1063
Zeros (%)31.3%
Negative0
Negative (%)0.0%
Memory size30.0 KiB
2023-12-12T16:25:48.279260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2.41
Range2.41
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07311193
Coefficient of variation (CV)16.468647
Kurtosis1054.7349
Mean0.0044394619
Median Absolute Deviation (MAD)0
Skewness32.058549
Sum4.95
Variance0.0053453543
MonotonicityNot monotonic
2023-12-12T16:25:48.413065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 1063
31.3%
0.03 12
 
0.4%
0.02 9
 
0.3%
0.05 7
 
0.2%
0.04 7
 
0.2%
0.06 5
 
0.1%
0.11 3
 
0.1%
0.07 2
 
0.1%
0.09 2
 
0.1%
0.12 2
 
0.1%
Other values (3) 3
 
0.1%
(Missing) 2286
67.2%
ValueCountFrequency (%)
0.0 1063
31.3%
0.02 9
 
0.3%
0.03 12
 
0.4%
0.04 7
 
0.2%
0.05 7
 
0.2%
0.06 5
 
0.1%
0.07 2
 
0.1%
0.08 1
 
< 0.1%
0.09 2
 
0.1%
0.1 1
 
< 0.1%
ValueCountFrequency (%)
2.41 1
 
< 0.1%
0.12 2
 
0.1%
0.11 3
0.1%
0.1 1
 
< 0.1%
0.09 2
 
0.1%
0.08 1
 
< 0.1%
0.07 2
 
0.1%
0.06 5
0.1%
0.05 7
0.2%
0.04 7
0.2%

벤젠(mg_kg)
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.3%
Missing1531
Missing (%)45.0%
Infinite0
Infinite (%)0.0%
Mean0.011925134
Minimum0
Maximum1
Zeros1841
Zeros (%)54.1%
Negative0
Negative (%)0.0%
Memory size30.0 KiB
2023-12-12T16:25:48.546823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.10601006
Coefficient of variation (CV)8.8896327
Kurtosis81.172931
Mean0.011925134
Median Absolute Deviation (MAD)0
Skewness9.0836453
Sum22.3
Variance0.011238132
MonotonicityNot monotonic
2023-12-12T16:25:48.716491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 1841
54.1%
1.0 20
 
0.6%
0.1 6
 
0.2%
0.6 1
 
< 0.1%
0.2 1
 
< 0.1%
0.9 1
 
< 0.1%
(Missing) 1531
45.0%
ValueCountFrequency (%)
0.0 1841
54.1%
0.1 6
 
0.2%
0.2 1
 
< 0.1%
0.6 1
 
< 0.1%
0.9 1
 
< 0.1%
1.0 20
 
0.6%
ValueCountFrequency (%)
1.0 20
 
0.6%
0.9 1
 
< 0.1%
0.6 1
 
< 0.1%
0.2 1
 
< 0.1%
0.1 6
 
0.2%
0.0 1841
54.1%

톨루엔(mg_kg)
Real number (ℝ)

MISSING  ZEROS 

Distinct30
Distinct (%)1.6%
Missing1531
Missing (%)45.0%
Infinite0
Infinite (%)0.0%
Mean0.052620321
Minimum0
Maximum5
Zeros1721
Zeros (%)50.6%
Negative0
Negative (%)0.0%
Memory size30.0 KiB
2023-12-12T16:25:48.840904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.33704898
Coefficient of variation (CV)6.4053007
Kurtosis105.54992
Mean0.052620321
Median Absolute Deviation (MAD)0
Skewness9.6758807
Sum98.4
Variance0.11360201
MonotonicityNot monotonic
2023-12-12T16:25:49.009588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.0 1721
50.6%
0.1 56
 
1.6%
0.2 26
 
0.8%
0.4 11
 
0.3%
0.6 9
 
0.3%
0.3 8
 
0.2%
1.2 6
 
0.2%
0.5 5
 
0.1%
1.1 5
 
0.1%
1.4 2
 
0.1%
Other values (20) 21
 
0.6%
(Missing) 1531
45.0%
ValueCountFrequency (%)
0.0 1721
50.6%
0.1 56
 
1.6%
0.2 26
 
0.8%
0.3 8
 
0.2%
0.4 11
 
0.3%
0.5 5
 
0.1%
0.6 9
 
0.3%
0.7 1
 
< 0.1%
0.8 2
 
0.1%
1.1 5
 
0.1%
ValueCountFrequency (%)
5.0 1
< 0.1%
4.4 1
< 0.1%
4.3 1
< 0.1%
4.0 1
< 0.1%
3.9 1
< 0.1%
3.8 1
< 0.1%
3.5 1
< 0.1%
3.4 1
< 0.1%
3.3 1
< 0.1%
3.1 1
< 0.1%

에틸벤젠(mg_kg)
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct18
Distinct (%)1.0%
Missing1531
Missing (%)45.0%
Infinite0
Infinite (%)0.0%
Mean0.028235294
Minimum0
Maximum23
Zeros1820
Zeros (%)53.5%
Negative0
Negative (%)0.0%
Memory size30.0 KiB
2023-12-12T16:25:49.127445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum23
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.55445526
Coefficient of variation (CV)19.636957
Kurtosis1582.2214
Mean0.028235294
Median Absolute Deviation (MAD)0
Skewness38.549918
Sum52.8
Variance0.30742064
MonotonicityNot monotonic
2023-12-12T16:25:49.265854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0 1820
53.5%
0.1 13
 
0.4%
0.2 7
 
0.2%
0.3 5
 
0.1%
0.7 3
 
0.1%
0.6 3
 
0.1%
1.3 3
 
0.1%
1.0 3
 
0.1%
0.4 2
 
0.1%
0.9 2
 
0.1%
Other values (8) 9
 
0.3%
(Missing) 1531
45.0%
ValueCountFrequency (%)
0.0 1820
53.5%
0.1 13
 
0.4%
0.2 7
 
0.2%
0.3 5
 
0.1%
0.4 2
 
0.1%
0.5 2
 
0.1%
0.6 3
 
0.1%
0.7 3
 
0.1%
0.8 1
 
< 0.1%
0.9 2
 
0.1%
ValueCountFrequency (%)
23.0 1
 
< 0.1%
5.0 1
 
< 0.1%
1.7 1
 
< 0.1%
1.4 1
 
< 0.1%
1.3 3
0.1%
1.2 1
 
< 0.1%
1.1 1
 
< 0.1%
1.0 3
0.1%
0.9 2
0.1%
0.8 1
 
< 0.1%

크실렌(mg_kg)
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct18
Distinct (%)1.0%
Missing1531
Missing (%)45.0%
Infinite0
Infinite (%)0.0%
Mean0.066096257
Minimum0
Maximum69
Zeros1819
Zeros (%)53.5%
Negative0
Negative (%)0.0%
Memory size30.0 KiB
2023-12-12T16:25:49.388728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum69
Range69
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.6414492
Coefficient of variation (CV)24.834224
Kurtosis1669.1467
Mean0.066096257
Median Absolute Deviation (MAD)0
Skewness40.020818
Sum123.6
Variance2.6943555
MonotonicityNot monotonic
2023-12-12T16:25:49.513020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0 1819
53.5%
1.0 10
 
0.3%
0.4 8
 
0.2%
0.2 7
 
0.2%
0.3 5
 
0.1%
0.1 4
 
0.1%
0.6 3
 
0.1%
3.0 2
 
0.1%
0.5 2
 
0.1%
0.9 2
 
0.1%
Other values (8) 8
 
0.2%
(Missing) 1531
45.0%
ValueCountFrequency (%)
0.0 1819
53.5%
0.1 4
 
0.1%
0.2 7
 
0.2%
0.3 5
 
0.1%
0.4 8
 
0.2%
0.5 2
 
0.1%
0.6 3
 
0.1%
0.7 1
 
< 0.1%
0.8 1
 
< 0.1%
0.9 2
 
0.1%
ValueCountFrequency (%)
69.0 1
 
< 0.1%
13.3 1
 
< 0.1%
8.0 1
 
< 0.1%
3.0 2
 
0.1%
2.0 1
 
< 0.1%
1.4 1
 
< 0.1%
1.3 1
 
< 0.1%
1.0 10
0.3%
0.9 2
 
0.1%
0.8 1
 
< 0.1%

석유계총탄화수소(TPH)(mg_kg)
Real number (ℝ)

MISSING  ZEROS 

Distinct270
Distinct (%)15.0%
Missing1598
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean75.660566
Minimum0
Maximum4274
Zeros942
Zeros (%)27.7%
Negative0
Negative (%)0.0%
Memory size30.0 KiB
2023-12-12T16:25:49.651794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q395
95-th percentile272.1
Maximum4274
Range4274
Interquartile range (IQR)95

Descriptive statistics

Standard deviation177.88813
Coefficient of variation (CV)2.351134
Kurtosis200.78427
Mean75.660566
Median Absolute Deviation (MAD)0
Skewness10.840964
Sum136416
Variance31644.185
MonotonicityNot monotonic
2023-12-12T16:25:49.798352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 942
27.7%
90 14
 
0.4%
94 14
 
0.4%
69 13
 
0.4%
63 13
 
0.4%
50 12
 
0.4%
60 12
 
0.4%
68 12
 
0.4%
70 12
 
0.4%
51 11
 
0.3%
Other values (260) 748
22.0%
(Missing) 1598
47.0%
ValueCountFrequency (%)
0 942
27.7%
6 1
 
< 0.1%
32 1
 
< 0.1%
38 1
 
< 0.1%
39 1
 
< 0.1%
45 2
 
0.1%
47 1
 
< 0.1%
48 1
 
< 0.1%
50 12
 
0.4%
51 11
 
0.3%
ValueCountFrequency (%)
4274 1
< 0.1%
2374 1
< 0.1%
1836 1
< 0.1%
1594 1
< 0.1%
1415 1
< 0.1%
1238 1
< 0.1%
1104 1
< 0.1%
1079 1
< 0.1%
1046 1
< 0.1%
1023 1
< 0.1%

트리클로로에틸렌(TCE)(mg_kg)
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct16
Distinct (%)1.0%
Missing1752
Missing (%)51.5%
Infinite0
Infinite (%)0.0%
Mean0.019041844
Minimum0
Maximum8.9
Zeros1613
Zeros (%)47.4%
Negative0
Negative (%)0.0%
Memory size30.0 KiB
2023-12-12T16:25:49.916645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8.9
Range8.9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.26174138
Coefficient of variation (CV)13.74559
Kurtosis839.64569
Mean0.019041844
Median Absolute Deviation (MAD)0
Skewness26.61531
Sum31.4
Variance0.068508547
MonotonicityNot monotonic
2023-12-12T16:25:50.031979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 1613
47.4%
0.2 8
 
0.2%
0.1 6
 
0.2%
0.3 3
 
0.1%
0.4 3
 
0.1%
1.0 3
 
0.1%
0.9 2
 
0.1%
0.7 2
 
0.1%
0.6 2
 
0.1%
1.7 1
 
< 0.1%
Other values (6) 6
 
0.2%
(Missing) 1752
51.5%
ValueCountFrequency (%)
0.0 1613
47.4%
0.1 6
 
0.2%
0.2 8
 
0.2%
0.3 3
 
0.1%
0.4 3
 
0.1%
0.5 1
 
< 0.1%
0.6 2
 
0.1%
0.7 2
 
0.1%
0.8 1
 
< 0.1%
0.9 2
 
0.1%
ValueCountFrequency (%)
8.9 1
 
< 0.1%
3.9 1
 
< 0.1%
2.3 1
 
< 0.1%
1.7 1
 
< 0.1%
1.6 1
 
< 0.1%
1.0 3
0.1%
0.9 2
0.1%
0.8 1
 
< 0.1%
0.7 2
0.1%
0.6 2
0.1%

테트라클로로에틸렌(PCE)(mg_kg)
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.7 KiB
<NA>
1752 
0.0
1648 
0.7
 
1

Length

Max length4
Median length4
Mean length3.5151426
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1752
51.5%
0.0 1648
48.5%
0.7 1
 
< 0.1%

Length

2023-12-12T16:25:50.201330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:25:50.319098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1752
51.5%
0.0 1648
48.5%
0.7 1
 
< 0.1%

벤조(a)피렌(mg_kg)
Real number (ℝ)

MISSING  ZEROS 

Distinct33
Distinct (%)16.1%
Missing3196
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean0.011756098
Minimum0
Maximum0.228
Zeros161
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size30.0 KiB
2023-12-12T16:25:50.432079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.0758
Maximum0.228
Range0.228
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.035874222
Coefficient of variation (CV)3.0515417
Kurtosis19.141695
Mean0.011756098
Median Absolute Deviation (MAD)0
Skewness4.1853496
Sum2.41
Variance0.0012869598
MonotonicityNot monotonic
2023-12-12T16:25:50.574777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0.0 161
 
4.7%
0.01 4
 
0.1%
0.019 3
 
0.1%
0.015 3
 
0.1%
0.109 2
 
0.1%
0.046 2
 
0.1%
0.014 2
 
0.1%
0.013 2
 
0.1%
0.006 2
 
0.1%
0.036 1
 
< 0.1%
Other values (23) 23
 
0.7%
(Missing) 3196
94.0%
ValueCountFrequency (%)
0.0 161
4.7%
0.005 1
 
< 0.1%
0.006 2
 
0.1%
0.008 1
 
< 0.1%
0.01 4
 
0.1%
0.011 1
 
< 0.1%
0.012 1
 
< 0.1%
0.013 2
 
0.1%
0.014 2
 
0.1%
0.015 3
 
0.1%
ValueCountFrequency (%)
0.228 1
< 0.1%
0.222 1
< 0.1%
0.219 1
< 0.1%
0.169 1
< 0.1%
0.131 1
< 0.1%
0.123 1
< 0.1%
0.109 2
0.1%
0.093 1
< 0.1%
0.09 1
< 0.1%
0.076 1
< 0.1%

12디클로로에탄(mg_kg)
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.7 KiB
<NA>
1738 
0.0
1659 
0.1
 
3
0.2
 
1

Length

Max length4
Median length4
Mean length3.5110262
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1738
51.1%
0.0 1659
48.8%
0.1 3
 
0.1%
0.2 1
 
< 0.1%

Length

2023-12-12T16:25:50.729827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:25:50.867056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1738
51.1%
0.0 1659
48.8%
0.1 3
 
0.1%
0.2 1
 
< 0.1%

수소이온농도(pH)
Real number (ℝ)

Distinct78
Distinct (%)2.3%
Missing4
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean7.4595231
Minimum3.2
Maximum11.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.0 KiB
2023-12-12T16:25:51.017983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2
5-th percentile5.6
Q16.6
median7.5
Q38.4
95-th percentile9.1
Maximum11.9
Range8.7
Interquartile range (IQR)1.8

Descriptive statistics

Standard deviation1.1385504
Coefficient of variation (CV)0.15263045
Kurtosis0.045839812
Mean7.4595231
Median Absolute Deviation (MAD)0.9
Skewness-0.083195793
Sum25340
Variance1.2962969
MonotonicityNot monotonic
2023-12-12T16:25:51.169474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.3 117
 
3.4%
8.5 117
 
3.4%
7.9 116
 
3.4%
8.6 113
 
3.3%
7.0 110
 
3.2%
7.2 109
 
3.2%
7.6 107
 
3.1%
8.7 106
 
3.1%
8.3 106
 
3.1%
8.4 103
 
3.0%
Other values (68) 2293
67.4%
ValueCountFrequency (%)
3.2 3
0.1%
3.3 1
 
< 0.1%
3.4 2
0.1%
3.7 1
 
< 0.1%
3.8 1
 
< 0.1%
4.3 2
0.1%
4.5 2
0.1%
4.6 4
0.1%
4.7 2
0.1%
4.8 4
0.1%
ValueCountFrequency (%)
11.9 2
0.1%
11.8 1
< 0.1%
11.7 1
< 0.1%
11.6 1
< 0.1%
11.5 1
< 0.1%
11.4 1
< 0.1%
11.2 2
0.1%
11.0 1
< 0.1%
10.9 1
< 0.1%
10.7 2
0.1%

Sample

년도지점명칭목적지목지역면적(제곱미터)시료깊이(m)카드뮴(mg_kg)구리(mg_kg)비소(mg_kg)수은(mg_kg)납(mg_kg)6가크롬(mg_kg)아연(mg_kg)니켈(mg_kg)불소(mg_kg)유기인(mg_kg)폴리클로리네이티드비페닐(PCBs)(mg_kg)시안(mg_kg)페놀류(mg_kg)벤젠(mg_kg)톨루엔(mg_kg)에틸벤젠(mg_kg)크실렌(mg_kg)석유계총탄화수소(TPH)(mg_kg)트리클로로에틸렌(TCE)(mg_kg)테트라클로로에틸렌(PCE)(mg_kg)벤조(a)피렌(mg_kg)12디클로로에탄(mg_kg)수소이온농도(pH)
02021알파색채(주)산업단지 및 공장지역대지(2지역)2지역374.00.3~31.7775.68.120.13104.40.0366.916.532900.00.30.03<NA><NA><NA><NA><NA>0.00.0<NA>0.07.3
12021평화당인쇄(주)산업단지 및 공장지역대지(2지역)2지역297.00.3~30.4710.88.230.0422.80.049.015.219900.00.00.0<NA><NA><NA><NA><NA>0.00.0<NA>0.07.6
22021101경비단교통관련시설지역대지(2지역)2지역50.00.3~30.4113.16.790.0617.70.054.89.9<NA>0<NA><NA>0.00.00.00.00.000.00.0<NA>0.08.2
32021(주)대양씨앤씨 사직주유소노후·방치 주유소 지역주유소용지3지역603.00.3~5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.00.00.00.000.00.0<NA>0.010.4
42021나경운수교통관련시설지역대지(2지역)2지역81.00.3~11.2150.86.550.172.90.0240.316.0<NA>0<NA><NA>0.00.02.10.20.100.00.0<NA>0.011.8
52021OK카서비스교통관련시설지역대지(2지역)2지역2438.00.3~30.8736.85.990.0961.50.0176.710.9<NA>0<NA><NA>0.00.00.60.00.0900.00.0<NA>0.09.1
62021강남손세차장교통관련시설지역대지(2지역)2지역542.00.3~30.6851.57.740.956.80.0202.19.7<NA>0<NA><NA>0.020.00.40.00.0960.00.0<NA>0.07.9
72021자하문주유소교통관련시설지역주유소용지3지역1561.00.3~5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.00.60.00.0590.00.0<NA>0.011.9
82021육군제1596부대 88지원대교통관련시설지역임야2지역13566.00.3~30.6735.57.380.3937.40.0150.811.3<NA>0<NA><NA>0.00.01.10.00.000.00.0<NA>0.011.6
92021태성자원원광석·고철 등의 보관·사용지역대지(2지역)2지역238.00.3~30.7650.93.910.230.20.099.930.1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>8.8
년도지점명칭목적지목지역면적(제곱미터)시료깊이(m)카드뮴(mg_kg)구리(mg_kg)비소(mg_kg)수은(mg_kg)납(mg_kg)6가크롬(mg_kg)아연(mg_kg)니켈(mg_kg)불소(mg_kg)유기인(mg_kg)폴리클로리네이티드비페닐(PCBs)(mg_kg)시안(mg_kg)페놀류(mg_kg)벤젠(mg_kg)톨루엔(mg_kg)에틸벤젠(mg_kg)크실렌(mg_kg)석유계총탄화수소(TPH)(mg_kg)트리클로로에틸렌(TCE)(mg_kg)테트라클로로에틸렌(PCE)(mg_kg)벤조(a)피렌(mg_kg)12디클로로에탄(mg_kg)수소이온농도(pH)
33912021온성학교어린이 놀이시설지역학교용지1지역13250.0표토0.3343.05.470.1211.01.0125.442.1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6.9
33922021온성학교어린이 놀이시설지역학교용지1지역13250.0중토0.2145.05.660.3110.71.0128.743.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6.9
33932021서호초등학교 인근어린이 놀이시설지역학교용지1지역14854.0표토0.035.67.020.0614.40.0158.627.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6.7
33942021서호초등학교 인근어린이 놀이시설지역학교용지1지역14854.0중토0.033.98.240.0614.00.0112.626.4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6.6
33952021람정제주개발토지개발지역대지(1지역)1지역5248.0표토0.028.43.060.027.60.075.675.3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6.2
33962021람정제주개발토지개발지역대지(1지역)1지역5248.0중토0.030.63.860.034.10.051.173.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6.5
3397<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>
3398<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>
3399<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>
3400<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>

Duplicate rows

Most frequently occurring

년도지점명칭목적지목지역면적(제곱미터)시료깊이(m)카드뮴(mg_kg)구리(mg_kg)비소(mg_kg)수은(mg_kg)납(mg_kg)6가크롬(mg_kg)아연(mg_kg)니켈(mg_kg)불소(mg_kg)유기인(mg_kg)폴리클로리네이티드비페닐(PCBs)(mg_kg)시안(mg_kg)페놀류(mg_kg)벤젠(mg_kg)톨루엔(mg_kg)에틸벤젠(mg_kg)크실렌(mg_kg)석유계총탄화수소(TPH)(mg_kg)트리클로로에틸렌(TCE)(mg_kg)테트라클로로에틸렌(PCE)(mg_kg)벤조(a)피렌(mg_kg)12디클로로에탄(mg_kg)수소이온농도(pH)# duplicates
2<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>4
02021캠프 스텐톤토지개발지역잡종지(3지역)[국방, 군사시설 부지] 3지역271314.02-3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.00.00.00.000.00.0<NA>0.06.62
12021캠프 자이언트토지개발지역잡종지(3지역)[국방, 군사시설 부지] 3지역95900.00-1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6.72