Overview

Dataset statistics

Number of variables30
Number of observations100
Missing cells100
Missing cells (%)3.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.0 KiB
Average record size in memory266.3 B

Variable types

Categorical13
Numeric13
Text3
Unsupported1

Alerts

년도 has constant value ""Constant
기관명 has constant value ""Constant
유기인(mg/kg) has constant value ""Constant
PCB(mg/kg) has constant value ""Constant
CN(mg/kg) has constant value ""Constant
페놀(mg/kg) has constant value ""Constant
벤젠(mg/kg) has constant value ""Constant
톨루엔(mg/kg) has constant value ""Constant
에틸벤젠(mg/kg) has constant value ""Constant
크실렌(mg/kg) has constant value ""Constant
TCE(mg/kg) has constant value ""Constant
PCE(mg/kg) has constant value ""Constant
비고 has 100 (100.0%) missing valuesMissing
조사지점번호 has unique valuesUnique
고유명칭 has unique valuesUnique
조사지점(지번) has unique valuesUnique
면적(㎡) has unique valuesUnique
비고 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Cd(mg/kg) has 89 (89.0%) zerosZeros
Hg(mg/kg) has 37 (37.0%) zerosZeros
Cr+6(mg/kg) has 79 (79.0%) zerosZeros
F(mg/kg) has 75 (75.0%) zerosZeros
TPH(mg/kg) has 93 (93.0%) zerosZeros

Reproduction

Analysis started2023-12-10 13:18:34.786836
Analysis finished2023-12-10 13:18:35.453448
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2017
100 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017
2nd row2017
3rd row2017
4th row2017
5th row2017

Common Values

ValueCountFrequency (%)
2017 100
100.0%

Length

2023-12-10T22:18:35.587734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:18:35.803247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017 100
100.0%

일련번호
Real number (ℝ)

Distinct76
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.252194 × 109
Minimum4.2150101 × 109
Maximum4.283035 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:18:36.037596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.2150101 × 109
5-th percentile4.2150134 × 109
Q14.2210105 × 109
median4.2750348 × 109
Q34.281025 × 109
95-th percentile4.283025 × 109
Maximum4.283035 × 109
Range68024939
Interquartile range (IQR)60014555

Descriptive statistics

Standard deviation30605844
Coefficient of variation (CV)0.0071976592
Kurtosis-1.9566316
Mean4.252194 × 109
Median Absolute Deviation (MAD)7990264
Skewness-0.20269972
Sum4.252194 × 1011
Variance9.3671766 × 1014
MonotonicityNot monotonic
2023-12-10T22:18:36.275425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4275035523 6
 
6.0%
4221010600 3
 
3.0%
4275025022 3
 
3.0%
4217012900 2
 
2.0%
4217010100 2
 
2.0%
4223010600 2
 
2.0%
4223012000 2
 
2.0%
4280025032 2
 
2.0%
4275038022 2
 
2.0%
4223032029 2
 
2.0%
Other values (66) 74
74.0%
ValueCountFrequency (%)
4215010100 1
1.0%
4215011100 1
1.0%
4215011600 2
2.0%
4215011900 1
1.0%
4215013500 1
1.0%
4215013900 1
1.0%
4215025022 2
2.0%
4215031027 1
1.0%
4215034028 1
1.0%
4215036023 1
1.0%
ValueCountFrequency (%)
4283035039 1
1.0%
4283035036 1
1.0%
4283035027 1
1.0%
4283032029 1
1.0%
4283025036 1
1.0%
4283025035 1
1.0%
4283025027 1
1.0%
4283025026 1
1.0%
4283025022 1
1.0%
4282033035 1
1.0%

조사지점번호
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:18:36.771352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.65
Min length7

Characters and Unicode

Total characters765
Distinct characters30
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st rowWN-④-242
2nd rowWK-⑦-264
3rd rowWN-③-195
4th rowWN-②-80
5th rowWN-②-77
ValueCountFrequency (%)
wn-④-242 1
 
1.0%
wf-⑥-256 1
 
1.0%
ws-③-216 1
 
1.0%
wn-③-202 1
 
1.0%
wc-③-232 1
 
1.0%
wk-②-119 1
 
1.0%
wo-①-31 1
 
1.0%
wa-②-160 1
 
1.0%
wo-①-30 1
 
1.0%
wn-②-79 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T22:18:37.427181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 200
26.1%
W 100
13.1%
1 76
 
9.9%
② 48
 
6.3%
2 43
 
5.6%
① 27
 
3.5%
0 27
 
3.5%
O 27
 
3.5%
3 22
 
2.9%
6 21
 
2.7%
Other values (20) 174
22.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 265
34.6%
Dash Punctuation 200
26.1%
Uppercase Letter 200
26.1%
Other Number 100
 
13.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
W 100
50.0%
O 27
 
13.5%
K 18
 
9.0%
N 17
 
8.5%
A 15
 
7.5%
S 11
 
5.5%
E 4
 
2.0%
C 3
 
1.5%
T 2
 
1.0%
G 1
 
0.5%
Other values (2) 2
 
1.0%
Decimal Number
ValueCountFrequency (%)
1 76
28.7%
2 43
16.2%
0 27
 
10.2%
3 22
 
8.3%
6 21
 
7.9%
9 19
 
7.2%
5 19
 
7.2%
7 15
 
5.7%
8 12
 
4.5%
4 11
 
4.2%
Other Number
ValueCountFrequency (%)
② 48
48.0%
① 27
27.0%
③ 21
21.0%
④ 1
 
1.0%
⑦ 1
 
1.0%
⑥ 1
 
1.0%
⑤ 1
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 200
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 565
73.9%
Latin 200
 
26.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 200
35.4%
1 76
 
13.5%
② 48
 
8.5%
2 43
 
7.6%
① 27
 
4.8%
0 27
 
4.8%
3 22
 
3.9%
6 21
 
3.7%
③ 21
 
3.7%
9 19
 
3.4%
Other values (8) 61
 
10.8%
Latin
ValueCountFrequency (%)
W 100
50.0%
O 27
 
13.5%
K 18
 
9.0%
N 17
 
8.5%
A 15
 
7.5%
S 11
 
5.5%
E 4
 
2.0%
C 3
 
1.5%
T 2
 
1.0%
G 1
 
0.5%
Other values (2) 2
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 665
86.9%
Enclosed Alphanum 100
 
13.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 200
30.1%
W 100
15.0%
1 76
 
11.4%
2 43
 
6.5%
0 27
 
4.1%
O 27
 
4.1%
3 22
 
3.3%
6 21
 
3.2%
9 19
 
2.9%
5 19
 
2.9%
Other values (13) 111
16.7%
Enclosed Alphanum
ValueCountFrequency (%)
② 48
48.0%
① 27
27.0%
③ 21
21.0%
④ 1
 
1.0%
⑦ 1
 
1.0%
⑥ 1
 
1.0%
⑤ 1
 
1.0%

고유명칭
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:18:37.877455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.59
Min length3

Characters and Unicode

Total characters459
Distinct characters112
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st row강릉정동진철도
2nd row강릉내곡2
3rd row강릉내곡1
4th row강릉박월
5th row강릉사기막
ValueCountFrequency (%)
강릉정동진철도 1
 
1.0%
양구정림1 1
 
1.0%
영월연당 1
 
1.0%
양양청곡 1
 
1.0%
양양송암 1
 
1.0%
양양서문 1
 
1.0%
양양내곡 1
 
1.0%
양양초교양양 1
 
1.0%
양양수여 1
 
1.0%
양양정암 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T22:18:38.717886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
양 33
 
7.2%
초 24
 
5.2%
영 17
 
3.7%
월 17
 
3.7%
교 16
 
3.5%
강 15
 
3.3%
동 15
 
3.3%
릉 15
 
3.3%
성 11
 
2.4%
속 11
 
2.4%
Other values (102) 285
62.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 432
94.1%
Decimal Number 23
 
5.0%
Uppercase Letter 4
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 33
 
7.6%
초 24
 
5.6%
영 17
 
3.9%
월 17
 
3.9%
교 16
 
3.7%
강 15
 
3.5%
동 15
 
3.5%
릉 15
 
3.5%
성 11
 
2.5%
속 11
 
2.5%
Other values (96) 258
59.7%
Decimal Number
ValueCountFrequency (%)
2 10
43.5%
1 10
43.5%
4 1
 
4.3%
3 1
 
4.3%
5 1
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
C 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 432
94.1%
Common 23
 
5.0%
Latin 4
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 33
 
7.6%
초 24
 
5.6%
영 17
 
3.9%
월 17
 
3.9%
교 16
 
3.7%
강 15
 
3.5%
동 15
 
3.5%
릉 15
 
3.5%
성 11
 
2.5%
속 11
 
2.5%
Other values (96) 258
59.7%
Common
ValueCountFrequency (%)
2 10
43.5%
1 10
43.5%
4 1
 
4.3%
3 1
 
4.3%
5 1
 
4.3%
Latin
ValueCountFrequency (%)
C 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 432
94.1%
ASCII 27
 
5.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
양 33
 
7.6%
초 24
 
5.6%
영 17
 
3.9%
월 17
 
3.9%
교 16
 
3.7%
강 15
 
3.5%
동 15
 
3.5%
릉 15
 
3.5%
성 11
 
2.5%
속 11
 
2.5%
Other values (96) 258
59.7%
ASCII
ValueCountFrequency (%)
2 10
37.0%
1 10
37.0%
C 4
 
14.8%
4 1
 
3.7%
3 1
 
3.7%
5 1
 
3.7%

조사지점(지번)
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:18:39.338859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length19.58
Min length14

Characters and Unicode

Total characters1958
Distinct characters128
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st row강원도 강릉시 강동면 정동진리 78-2
2nd row강원도 강릉시 내곡동 413
3rd row강원도 강릉시 내곡동 147-3
4th row강원도 강릉시 박월동 19-9
5th row강원도 강릉시 사천면 사기막리 929
ValueCountFrequency (%)
강원도 100
 
20.0%
산 19
 
3.8%
영월군 15
 
3.0%
강릉시 14
 
2.8%
속초시 11
 
2.2%
삼척시 10
 
2.0%
동해시 10
 
2.0%
인제군 10
 
2.0%
고성군 10
 
2.0%
양양군 9
 
1.8%
Other values (212) 291
58.3%
2023-12-10T22:18:40.081876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
399
20.4%
강 121
 
6.2%
도 112
 
5.7%
원 104
 
5.3%
리 66
 
3.4%
1 62
 
3.2%
군 56
 
2.9%
- 53
 
2.7%
양 51
 
2.6%
2 49
 
2.5%
Other values (118) 885
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1180
60.3%
Space Separator 399
 
20.4%
Decimal Number 326
 
16.6%
Dash Punctuation 53
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 121
 
10.3%
도 112
 
9.5%
원 104
 
8.8%
리 66
 
5.6%
군 56
 
4.7%
양 51
 
4.3%
동 48
 
4.1%
시 45
 
3.8%
면 41
 
3.5%
산 25
 
2.1%
Other values (106) 511
43.3%
Decimal Number
ValueCountFrequency (%)
1 62
19.0%
2 49
15.0%
3 41
12.6%
5 33
10.1%
0 29
8.9%
4 28
8.6%
6 26
8.0%
8 21
 
6.4%
9 20
 
6.1%
7 17
 
5.2%
Space Separator
ValueCountFrequency (%)
399
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1180
60.3%
Common 778
39.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 121
 
10.3%
도 112
 
9.5%
원 104
 
8.8%
리 66
 
5.6%
군 56
 
4.7%
양 51
 
4.3%
동 48
 
4.1%
시 45
 
3.8%
면 41
 
3.5%
산 25
 
2.1%
Other values (106) 511
43.3%
Common
ValueCountFrequency (%)
399
51.3%
1 62
 
8.0%
- 53
 
6.8%
2 49
 
6.3%
3 41
 
5.3%
5 33
 
4.2%
0 29
 
3.7%
4 28
 
3.6%
6 26
 
3.3%
8 21
 
2.7%
Other values (2) 37
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1180
60.3%
ASCII 778
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
399
51.3%
1 62
 
8.0%
- 53
 
6.8%
2 49
 
6.3%
3 41
 
5.3%
5 33
 
4.2%
0 29
 
3.7%
4 28
 
3.6%
6 26
 
3.3%
8 21
 
2.7%
Other values (2) 37
 
4.8%
Hangul
ValueCountFrequency (%)
강 121
 
10.3%
도 112
 
9.5%
원 104
 
8.8%
리 66
 
5.6%
군 56
 
4.7%
양 51
 
4.3%
동 48
 
4.1%
시 45
 
3.8%
면 41
 
3.5%
산 25
 
2.1%
Other values (106) 511
43.3%

면적(㎡)
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1828271.6
Minimum99
Maximum73980085
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:18:40.521266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99
5-th percentile495.07
Q11991.25
median5011.95
Q320353.925
95-th percentile202755.35
Maximum73980085
Range73979986
Interquartile range (IQR)18362.675

Descriptive statistics

Standard deviation10161106
Coefficient of variation (CV)5.5577662
Kurtosis35.231936
Mean1828271.6
Median Absolute Deviation (MAD)4198
Skewness5.9116964
Sum1.8282716 × 108
Variance1.0324808 × 1014
MonotonicityNot monotonic
2023-12-10T22:18:40.944507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
503.0 1
 
1.0%
2880.0 1
 
1.0%
2959.0 1
 
1.0%
1169.0 1
 
1.0%
1980.0 1
 
1.0%
304.0 1
 
1.0%
241.0 1
 
1.0%
28661.0 1
 
1.0%
1362.0 1
 
1.0%
2446.0 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
99.0 1
1.0%
241.0 1
1.0%
281.0 1
1.0%
304.0 1
1.0%
344.4 1
1.0%
503.0 1
1.0%
551.0 1
1.0%
631.0 1
1.0%
680.0 1
1.0%
823.0 1
1.0%
ValueCountFrequency (%)
73980085.0 1
1.0%
50513590.0 1
1.0%
49915399.0 1
1.0%
6226191.0 1
1.0%
863107.0 1
1.0%
168000.0 1
1.0%
165424.0 1
1.0%
61057.0 1
1.0%
59009.0 1
1.0%
56374.0 1
1.0%

비고
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
원주청
100 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
원주청 100
100.0%

Length

2023-12-10T22:18:41.219713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:18:41.422489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원주청 100
100.0%

지목명(토지용도)
Categorical

Distinct11
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
임야
27 
대지
18 
답
17 
학교용지
15 
전
11 
Other values (6)
12 

Length

Max length4
Median length3
Mean length2.14
Min length1

Unique

Unique3 ?
Unique (%)3.0%

Sample

1st row답
2nd row대지
3rd row답
4th row답
5th row답

Common Values

ValueCountFrequency (%)
임야 27
27.0%
대지 18
18.0%
답 17
17.0%
학교용지 15
15.0%
전 11
11.0%
잡종지 4
 
4.0%
도로 3
 
3.0%
종교용지 2
 
2.0%
체육용지 1
 
1.0%
공원 1
 
1.0%

Length

2023-12-10T22:18:41.614184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
임야 27
27.0%
대지 18
18.0%
답 17
17.0%
학교용지 15
15.0%
전 11
11.0%
잡종지 4
 
4.0%
도로 3
 
3.0%
종교용지 2
 
2.0%
체육용지 1
 
1.0%
공원 1
 
1.0%

Cd(mg/kg)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0172
Minimum0
Maximum0.29
Zeros89
Zeros (%)89.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:18:41.796837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.15
Maximum0.29
Range0.29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.052321462
Coefficient of variation (CV)3.0419454
Kurtosis10.379293
Mean0.0172
Median Absolute Deviation (MAD)0
Skewness3.2119741
Sum1.72
Variance0.0027375354
MonotonicityNot monotonic
2023-12-10T22:18:41.975019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 89
89.0%
0.15 3
 
3.0%
0.11 2
 
2.0%
0.14 1
 
1.0%
0.29 1
 
1.0%
0.12 1
 
1.0%
0.22 1
 
1.0%
0.18 1
 
1.0%
0.1 1
 
1.0%
ValueCountFrequency (%)
0.0 89
89.0%
0.1 1
 
1.0%
0.11 2
 
2.0%
0.12 1
 
1.0%
0.14 1
 
1.0%
0.15 3
 
3.0%
0.18 1
 
1.0%
0.22 1
 
1.0%
0.29 1
 
1.0%
ValueCountFrequency (%)
0.29 1
 
1.0%
0.22 1
 
1.0%
0.18 1
 
1.0%
0.15 3
 
3.0%
0.14 1
 
1.0%
0.12 1
 
1.0%
0.11 2
 
2.0%
0.1 1
 
1.0%
0.0 89
89.0%

Cu(mg/kg)
Real number (ℝ)

Distinct85
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.896
Minimum2.7
Maximum79.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:18:42.198061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile4.875
Q110.2
median14
Q322.95
95-th percentile38.315
Maximum79.6
Range76.9
Interquartile range (IQR)12.75

Descriptive statistics

Standard deviation12.130518
Coefficient of variation (CV)0.67783407
Kurtosis6.35852
Mean17.896
Median Absolute Deviation (MAD)5.5
Skewness1.9955052
Sum1789.6
Variance147.14948
MonotonicityNot monotonic
2023-12-10T22:18:42.449733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18.1 2
 
2.0%
10.2 2
 
2.0%
17.5 2
 
2.0%
20.9 2
 
2.0%
12.5 2
 
2.0%
12.3 2
 
2.0%
4.9 2
 
2.0%
12.0 2
 
2.0%
27.6 2
 
2.0%
17.1 2
 
2.0%
Other values (75) 80
80.0%
ValueCountFrequency (%)
2.7 1
1.0%
3.1 1
1.0%
3.5 1
1.0%
4.1 1
1.0%
4.4 1
1.0%
4.9 2
2.0%
6.3 1
1.0%
6.7 1
1.0%
7.1 1
1.0%
7.3 1
1.0%
ValueCountFrequency (%)
79.6 1
1.0%
54.8 1
1.0%
48.6 1
1.0%
42.6 1
1.0%
38.6 1
1.0%
38.3 1
1.0%
38.0 1
1.0%
36.2 1
1.0%
35.9 1
1.0%
32.9 1
1.0%

As(mg/kg)
Real number (ℝ)

Distinct93
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4486
Minimum0
Maximum16.85
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:18:42.836001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.5525
Q13.7
median4.93
Q35.865
95-th percentile11.6645
Maximum16.85
Range16.85
Interquartile range (IQR)2.165

Descriptive statistics

Standard deviation2.8571601
Coefficient of variation (CV)0.52438426
Kurtosis3.3227829
Mean5.4486
Median Absolute Deviation (MAD)1.225
Skewness1.6940916
Sum544.86
Variance8.1633637
MonotonicityNot monotonic
2023-12-10T22:18:43.516869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.02 3
 
3.0%
4.36 2
 
2.0%
3.7 2
 
2.0%
4.9 2
 
2.0%
5.47 2
 
2.0%
5.67 2
 
2.0%
7.82 1
 
1.0%
3.47 1
 
1.0%
5.84 1
 
1.0%
13.36 1
 
1.0%
Other values (83) 83
83.0%
ValueCountFrequency (%)
0.0 1
1.0%
2.15 1
1.0%
2.19 1
1.0%
2.29 1
1.0%
2.41 1
1.0%
2.56 1
1.0%
2.57 1
1.0%
2.66 1
1.0%
2.68 1
1.0%
2.76 1
1.0%
ValueCountFrequency (%)
16.85 1
1.0%
14.28 1
1.0%
13.47 1
1.0%
13.36 1
1.0%
12.13 1
1.0%
11.64 1
1.0%
11.18 1
1.0%
10.54 1
1.0%
10.21 1
1.0%
9.65 1
1.0%

Hg(mg/kg)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0116
Minimum0
Maximum0.16
Zeros37
Zeros (%)37.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:18:44.172812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.01
95-th percentile0.0405
Maximum0.16
Range0.16
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.01962888
Coefficient of variation (CV)1.6921448
Kurtosis33.254974
Mean0.0116
Median Absolute Deviation (MAD)0.01
Skewness4.9396955
Sum1.16
Variance0.00038529293
MonotonicityNot monotonic
2023-12-10T22:18:44.635456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.01 46
46.0%
0.0 37
37.0%
0.02 6
 
6.0%
0.03 4
 
4.0%
0.04 2
 
2.0%
0.05 2
 
2.0%
0.06 2
 
2.0%
0.16 1
 
1.0%
ValueCountFrequency (%)
0.0 37
37.0%
0.01 46
46.0%
0.02 6
 
6.0%
0.03 4
 
4.0%
0.04 2
 
2.0%
0.05 2
 
2.0%
0.06 2
 
2.0%
0.16 1
 
1.0%
ValueCountFrequency (%)
0.16 1
 
1.0%
0.06 2
 
2.0%
0.05 2
 
2.0%
0.04 2
 
2.0%
0.03 4
 
4.0%
0.02 6
 
6.0%
0.01 46
46.0%
0.0 37
37.0%

Pb(mg/kg)
Real number (ℝ)

Distinct77
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.473
Minimum4.9
Maximum34.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:18:44.842057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.9
5-th percentile9.365
Q111.6
median14.85
Q320.525
95-th percentile28
Maximum34.6
Range29.7
Interquartile range (IQR)8.925

Descriptive statistics

Standard deviation5.8480914
Coefficient of variation (CV)0.35501071
Kurtosis0.073454685
Mean16.473
Median Absolute Deviation (MAD)3.8
Skewness0.69573681
Sum1647.3
Variance34.200173
MonotonicityNot monotonic
2023-12-10T22:18:45.130881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.3 3
 
3.0%
15.1 3
 
3.0%
14.4 3
 
3.0%
11.1 3
 
3.0%
9.5 2
 
2.0%
21.7 2
 
2.0%
19.6 2
 
2.0%
19.3 2
 
2.0%
12.2 2
 
2.0%
22.4 2
 
2.0%
Other values (67) 76
76.0%
ValueCountFrequency (%)
4.9 1
1.0%
8.0 1
1.0%
8.4 1
1.0%
8.6 1
1.0%
8.7 1
1.0%
9.4 1
1.0%
9.5 2
2.0%
9.6 1
1.0%
9.7 2
2.0%
10.0 1
1.0%
ValueCountFrequency (%)
34.6 1
1.0%
29.9 1
1.0%
29.7 1
1.0%
28.8 1
1.0%
28.0 2
2.0%
27.7 1
1.0%
25.9 1
1.0%
24.5 1
1.0%
24.1 1
1.0%
23.7 1
1.0%

Cr+6(mg/kg)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.153
Minimum0
Maximum1.3
Zeros79
Zeros (%)79.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:18:45.485005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.9
Maximum1.3
Range1.3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.31187119
Coefficient of variation (CV)2.0383738
Kurtosis1.9772533
Mean0.153
Median Absolute Deviation (MAD)0
Skewness1.8005861
Sum15.3
Variance0.097263636
MonotonicityNot monotonic
2023-12-10T22:18:45.752630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 79
79.0%
0.6 6
 
6.0%
0.9 6
 
6.0%
0.5 4
 
4.0%
0.7 2
 
2.0%
0.8 2
 
2.0%
1.3 1
 
1.0%
ValueCountFrequency (%)
0.0 79
79.0%
0.5 4
 
4.0%
0.6 6
 
6.0%
0.7 2
 
2.0%
0.8 2
 
2.0%
0.9 6
 
6.0%
1.3 1
 
1.0%
ValueCountFrequency (%)
1.3 1
 
1.0%
0.9 6
 
6.0%
0.8 2
 
2.0%
0.7 2
 
2.0%
0.6 6
 
6.0%
0.5 4
 
4.0%
0.0 79
79.0%

Zn(mg/kg)
Real number (ℝ)

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.382
Minimum17.1
Maximum202.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:18:46.041988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17.1
5-th percentile32.09
Q149.525
median61.7
Q378.925
95-th percentile115.865
Maximum202.6
Range185.5
Interquartile range (IQR)29.4

Descriptive statistics

Standard deviation31.054535
Coefficient of variation (CV)0.46087285
Kurtosis4.8618344
Mean67.382
Median Absolute Deviation (MAD)14.85
Skewness1.7706785
Sum6738.2
Variance964.38412
MonotonicityNot monotonic
2023-12-10T22:18:46.288078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
63.8 2
 
2.0%
60.5 2
 
2.0%
50.2 2
 
2.0%
54.0 2
 
2.0%
74.5 2
 
2.0%
69.6 1
 
1.0%
87.4 1
 
1.0%
80.8 1
 
1.0%
163.0 1
 
1.0%
51.9 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
17.1 1
1.0%
26.3 1
1.0%
26.7 1
1.0%
27.4 1
1.0%
30.0 1
1.0%
32.2 1
1.0%
33.0 1
1.0%
35.1 1
1.0%
35.3 1
1.0%
35.5 1
1.0%
ValueCountFrequency (%)
202.6 1
1.0%
184.3 1
1.0%
163.0 1
1.0%
136.6 1
1.0%
117.1 1
1.0%
115.8 1
1.0%
114.8 1
1.0%
109.9 1
1.0%
107.2 1
1.0%
104.1 1
1.0%

Ni(mg/kg)
Real number (ℝ)

Distinct78
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.72
Minimum1.8
Maximum34.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:18:46.534653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.8
5-th percentile2.79
Q15.475
median9.35
Q315.575
95-th percentile20.76
Maximum34.8
Range33
Interquartile range (IQR)10.1

Descriptive statistics

Standard deviation6.5001787
Coefficient of variation (CV)0.60635995
Kurtosis0.72445251
Mean10.72
Median Absolute Deviation (MAD)4.35
Skewness0.91355807
Sum1072
Variance42.252323
MonotonicityNot monotonic
2023-12-10T22:18:46.839869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.3 5
 
5.0%
5.1 4
 
4.0%
12.4 3
 
3.0%
7.2 3
 
3.0%
10.1 3
 
3.0%
16.0 2
 
2.0%
14.2 2
 
2.0%
5.9 2
 
2.0%
9.7 2
 
2.0%
6.4 2
 
2.0%
Other values (68) 72
72.0%
ValueCountFrequency (%)
1.8 1
1.0%
1.9 1
1.0%
2.4 1
1.0%
2.6 2
2.0%
2.8 1
1.0%
2.9 1
1.0%
3.1 1
1.0%
3.4 1
1.0%
4.0 1
1.0%
4.1 2
2.0%
ValueCountFrequency (%)
34.8 1
1.0%
25.8 1
1.0%
25.5 1
1.0%
24.1 1
1.0%
21.9 1
1.0%
20.7 1
1.0%
20.6 1
1.0%
20.5 1
1.0%
20.3 1
1.0%
20.0 1
1.0%

F(mg/kg)
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.86
Minimum0
Maximum579
Zeros75
Zeros (%)75.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:18:47.424431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q334
95-th percentile327.55
Maximum579
Range579
Interquartile range (IQR)34

Descriptive statistics

Standard deviation131.31334
Coefficient of variation (CV)1.8531377
Kurtosis1.6286324
Mean70.86
Median Absolute Deviation (MAD)0
Skewness1.6312577
Sum7086
Variance17243.192
MonotonicityNot monotonic
2023-12-10T22:18:47.615538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 75
75.0%
136 2
 
2.0%
211 2
 
2.0%
253 2
 
2.0%
338 1
 
1.0%
314 1
 
1.0%
579 1
 
1.0%
274 1
 
1.0%
322 1
 
1.0%
319 1
 
1.0%
Other values (13) 13
 
13.0%
ValueCountFrequency (%)
0 75
75.0%
136 2
 
2.0%
155 1
 
1.0%
195 1
 
1.0%
205 1
 
1.0%
211 2
 
2.0%
253 2
 
2.0%
266 1
 
1.0%
274 1
 
1.0%
293 1
 
1.0%
ValueCountFrequency (%)
579 1
1.0%
367 1
1.0%
351 1
1.0%
341 1
1.0%
338 1
1.0%
327 1
1.0%
325 1
1.0%
322 1
1.0%
319 1
1.0%
314 1
1.0%

유기인(mg/kg)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T22:18:47.865115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:18:48.078640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

PCB(mg/kg)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T22:18:48.324485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:18:48.553362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

CN(mg/kg)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T22:18:48.761419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:18:49.001975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

페놀(mg/kg)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T22:18:49.288664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:18:49.451234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

벤젠(mg/kg)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T22:18:49.629966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:18:49.760341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

톨루엔(mg/kg)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T22:18:49.908453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:18:50.061355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

에틸벤젠(mg/kg)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T22:18:50.223223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:18:50.462277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

크실렌(mg/kg)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T22:18:50.647271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:18:50.835879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

TPH(mg/kg)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1
Minimum0
Maximum161
Zeros93
Zeros (%)93.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:18:51.017022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile63.3
Maximum161
Range161
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.164201
Coefficient of variation (CV)3.9667889
Kurtosis18.609419
Mean7.1
Median Absolute Deviation (MAD)0
Skewness4.2933479
Sum710
Variance793.22222
MonotonicityNot monotonic
2023-12-10T22:18:51.253138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 93
93.0%
63 1
 
1.0%
83 1
 
1.0%
69 1
 
1.0%
161 1
 
1.0%
155 1
 
1.0%
121 1
 
1.0%
58 1
 
1.0%
ValueCountFrequency (%)
0 93
93.0%
58 1
 
1.0%
63 1
 
1.0%
69 1
 
1.0%
83 1
 
1.0%
121 1
 
1.0%
155 1
 
1.0%
161 1
 
1.0%
ValueCountFrequency (%)
161 1
 
1.0%
155 1
 
1.0%
121 1
 
1.0%
83 1
 
1.0%
69 1
 
1.0%
63 1
 
1.0%
58 1
 
1.0%
0 93
93.0%

TCE(mg/kg)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T22:18:51.563412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:18:51.733122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

PCE(mg/kg)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T22:18:52.035054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:18:52.251176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

pH(mg/kg)
Real number (ℝ)

Distinct39
Distinct (%)39.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.771
Minimum4.5
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:18:52.512798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.5
5-th percentile4.8
Q16.2
median6.85
Q37.6
95-th percentile8.21
Maximum9
Range4.5
Interquartile range (IQR)1.4

Descriptive statistics

Standard deviation1.0293957
Coefficient of variation (CV)0.15203009
Kurtosis-0.41775398
Mean6.771
Median Absolute Deviation (MAD)0.75
Skewness-0.27526956
Sum677.1
Variance1.0596556
MonotonicityNot monotonic
2023-12-10T22:18:52.805691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
7.6 7
 
7.0%
6.4 6
 
6.0%
7.3 6
 
6.0%
6.2 6
 
6.0%
6.3 5
 
5.0%
7.0 5
 
5.0%
7.8 4
 
4.0%
7.9 4
 
4.0%
7.2 4
 
4.0%
6.8 4
 
4.0%
Other values (29) 49
49.0%
ValueCountFrequency (%)
4.5 1
 
1.0%
4.6 1
 
1.0%
4.7 2
2.0%
4.8 3
3.0%
4.9 1
 
1.0%
5.1 1
 
1.0%
5.3 2
2.0%
5.4 1
 
1.0%
5.5 1
 
1.0%
5.6 1
 
1.0%
ValueCountFrequency (%)
9.0 1
 
1.0%
8.9 1
 
1.0%
8.6 1
 
1.0%
8.5 1
 
1.0%
8.4 1
 
1.0%
8.2 1
 
1.0%
8.1 3
3.0%
7.9 4
4.0%
7.8 4
4.0%
7.7 4
4.0%

Sample

년도일련번호조사지점번호고유명칭조사지점(지번)면적(㎡)비고기관명지목명(토지용도)Cd(mg/kg)Cu(mg/kg)As(mg/kg)Hg(mg/kg)Pb(mg/kg)Cr+6(mg/kg)Zn(mg/kg)Ni(mg/kg)F(mg/kg)유기인(mg/kg)PCB(mg/kg)CN(mg/kg)페놀(mg/kg)벤젠(mg/kg)톨루엔(mg/kg)에틸벤젠(mg/kg)크실렌(mg/kg)TPH(mg/kg)TCE(mg/kg)PCE(mg/kg)pH(mg/kg)
020174215034028WN-④-242강릉정동진철도강원도 강릉시 강동면 정동진리 78-2503.0<NA>원주청답0.018.17.820.1612.51.336.313.00000000000005.8
120174215011600WK-⑦-264강릉내곡2강원도 강릉시 내곡동 4137203.0<NA>원주청대지0.010.83.710.0112.20.075.114.2301000000000007.5
220174215011600WN-③-195강릉내곡1강원도 강릉시 내곡동 147-3631.0<NA>원주청답0.06.73.40.011.00.055.95.80000000000007.3
320174215011900WN-②-80강릉박월강원도 강릉시 박월동 19-9823.0<NA>원주청답0.015.73.940.011.30.747.116.80000000000006.3
420174215036029WN-②-77강릉사기막강원도 강릉시 사천면 사기막리 9292954.9<NA>원주청답0.08.03.560.010.30.047.56.00000000000006.0
520174215036023WO-①-21강릉석교강원도 강릉시 사천면 석교리 산 213-28013.0<NA>원주청임야0.06.34.410.0111.60.032.21.90000000000005.3
620174215031027WO-①-02강릉어흘강원도 강릉시 성산면 어흘리 산 2-1 대관령자연휴양림6226191.0<NA>원주청임야0.07.95.020.039.40.072.74.40000000000006.1
720174215037028WO-①-01강릉연곡강원도 강릉시 연곡면 삼산리 산 1-1250513590.0<NA>원주청임야0.014.13.930.014.90.060.94.10000000000004.9
820174215013900WO-①-22강릉운산강원도 강릉시 운산동 산 2299.0<NA>원주청임야0.04.42.290.0111.30.050.220.60000000000005.4
920174215013500WN-②-76강릉운정강원도 강릉시 운정동 641-1 농경지2499.0<NA>원주청답0.010.93.850.08.00.050.95.10000000000006.8
년도일련번호조사지점번호고유명칭조사지점(지번)면적(㎡)비고기관명지목명(토지용도)Cd(mg/kg)Cu(mg/kg)As(mg/kg)Hg(mg/kg)Pb(mg/kg)Cr+6(mg/kg)Zn(mg/kg)Ni(mg/kg)F(mg/kg)유기인(mg/kg)PCB(mg/kg)CN(mg/kg)페놀(mg/kg)벤젠(mg/kg)톨루엔(mg/kg)에틸벤젠(mg/kg)크실렌(mg/kg)TPH(mg/kg)TCE(mg/kg)PCE(mg/kg)pH(mg/kg)
9020174281032024WO-①-10인제용대강원도 인제군 북면 용대리 산 262-1 용대자연휴양림49915399.0<NA>원주청임야0.142.612.130.0211.10.078.525.80000000000006.5
9120174281032023WN-③-203인제한계강원도 인제군 북면 한계리 1028-22861.0<NA>원주청답0.024.75.130.0118.10.096.824.10000000000007.1
9220174281032023WE-②-191설악장수대강원도 인제군 북면 한계리 87-11995.0<NA>원주청잡종지0.012.02.150.010.00.043.68.45790000000058008.6
9320174281025031WS-③-211인제고사강원도 인제군 인제읍 고사리 5265174.0<NA>원주청전0.027.25.170.0114.40.082.511.70000000000006.2
9420174281025021WK-②-124인제상동2강원도 인제군 인제읍 상동리 43-12443.7<NA>원주청대지0.013.75.250.012.70.558.120.0211000000000007.3
9520174281025030WO-①-37하추자연휴양림강원도 인제군 인제읍 하추리 산 64 하추자연휴양림863107.0<NA>원주청임야0.014.59.630.0114.10.059.26.50000000000005.5
9620174281025023WA-②-165인제초교인제강원도 인제군 인제읍 합강리 31636666.0<NA>원주청학교용지0.024.54.80.0113.90.074.818.40000000000007.2
9720174281025023WS-③-265인제합강강원도 인제군 인제읍 합강리 86-52594.0<NA>원주청전0.030.75.370.0123.60.098.621.90000000000007.6
9820174277034023WN-②-83정선남평강원도 정선군 북평면 남평리 1072-53219.4<NA>원주청답0.011.74.360.08.70.036.418.70000000000006.4
9920174277034023WA-②-178남평초등강원도 정선군 북평면 남평리 39611468.0<NA>원주청학교용지0.07.32.880.0110.10.045.64.10000000000006.4