Overview

Dataset statistics

Number of variables32
Number of observations117
Missing cells16
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.2 KiB
Average record size in memory282.1 B

Variable types

Numeric12
Categorical19
Text1

Dataset

Description2021년도 인천광역시 토양오염실태조사를 바탕으로 지역별(군구, 읍면동) 지목별, 면적, 시료깊이, 조사항목별 오염도검사 등에 대한 데이터
URLhttps://www.data.go.kr/data/15104396/fileData.do

Alerts

조사항목별 오염도(유기인) has constant value ""Constant
조사항목별 오염도(페놀류) has constant value ""Constant
조사항목별 오염도(벤젠) has constant value ""Constant
조사항목별 오염도(벤조(a)피렌) has constant value ""Constant
시도 is highly imbalanced (62.2%)Imbalance
조사항목별 오염도(6가크롬) is highly imbalanced (89.4%)Imbalance
조사항목별 오염도(PCBs) is highly imbalanced (92.9%)Imbalance
조사항목별 오염도(시안) is highly imbalanced (91.0%)Imbalance
조사항목별 오염도(톨루엔) is highly imbalanced (87.7%)Imbalance
조사항목별 오염도(에틸벤젤) is highly imbalanced (92.9%)Imbalance
조사항목별 오염도(크실렌) is highly imbalanced (87.7%)Imbalance
조사항목별 오염도(TCE) is highly imbalanced (86.7%)Imbalance
조사항목별 오염도(PCE) is highly imbalanced (91.0%)Imbalance
조사항목별 오염도(1_2-디클로로에탄) is highly imbalanced (87.5%)Imbalance
연번 has 8 (6.8%) missing valuesMissing
면적(제곱미터) has 8 (6.8%) missing valuesMissing
조사항목별 오염도(카드뮴) has 10 (8.5%) zerosZeros
조사항목별 오염도(비소) has 14 (12.0%) zerosZeros
조사항목별 오염도(수은) has 7 (6.0%) zerosZeros
조사항목별 오염도(불소) has 27 (23.1%) zerosZeros
조사항목별 오염도(TPH) has 82 (70.1%) zerosZeros

Reproduction

Analysis started2023-12-12 17:54:24.255684
Analysis finished2023-12-12 17:54:24.542121
Duration0.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

MISSING 

Distinct109
Distinct (%)100.0%
Missing8
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean55
Minimum1
Maximum109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T02:54:24.605922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.4
Q128
median55
Q382
95-th percentile103.6
Maximum109
Range108
Interquartile range (IQR)54

Descriptive statistics

Standard deviation31.609598
Coefficient of variation (CV)0.57471996
Kurtosis-1.2
Mean55
Median Absolute Deviation (MAD)27
Skewness0
Sum5995
Variance999.16667
MonotonicityStrictly increasing
2023-12-13T02:54:24.724285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
75 1
 
0.9%
74 1
 
0.9%
73 1
 
0.9%
Other values (99) 99
84.6%
(Missing) 8
 
6.8%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
109 1
0.9%
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%
101 1
0.9%
100 1
0.9%

조사지역종류
Categorical

Distinct10
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
교통관련시설지역
32 
공장폐수 유입지역
31 
산업단지 및 공장지역
23 
폐기물 처리 및 재활용 관련 지역
13 
어린이 놀이시설지역
6 
Other values (5)
12 

Length

Max length19
Median length18
Mean length10.367521
Min length7

Unique

Unique3 ?
Unique (%)2.6%

Sample

1st row산업단지 및 공장지역
2nd row폐기물 처리 및 재활용 관련 지역
3rd row산업단지 및 공장지역
4th row산업단지 및 공장지역
5th row공장폐수 유입지역

Common Values

ValueCountFrequency (%)
교통관련시설지역 32
27.4%
공장폐수 유입지역 31
26.5%
산업단지 및 공장지역 23
19.7%
폐기물 처리 및 재활용 관련 지역 13
11.1%
어린이 놀이시설지역 6
 
5.1%
지하수오염지역 6
 
5.1%
사고?민원 등 발생지역 3
 
2.6%
철도관련시설 및 철도 폐침목사용지역 1
 
0.9%
원광석 고철 등의 보관 사용지역 1
 
0.9%
산지등의복구 및 공유수면매립지역 1
 
0.9%

Length

2023-12-13T02:54:24.855845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:54:24.959619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
및 38
13.6%
교통관련시설지역 32
11.4%
유입지역 31
11.1%
공장폐수 31
11.1%
산업단지 23
8.2%
공장지역 23
8.2%
폐기물 13
 
4.6%
처리 13
 
4.6%
재활용 13
 
4.6%
관련 13
 
4.6%
Other values (17) 50
17.9%

시도
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
인천광역시
103 
인천광역시
12 
<NA>
 
2

Length

Max length6
Median length5
Mean length5.0854701
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인천광역시 103
88.0%
인천광역시 12
 
10.3%
<NA> 2
 
1.7%

Length

2023-12-13T02:54:25.100742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:54:25.199105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 115
98.3%
na 2
 
1.7%

시군구
Categorical

Distinct12
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
부평구
18 
남동구
17 
미추홀구
12 
계양구
12 
서구
11 
Other values (7)
47 

Length

Max length4
Median length3
Mean length2.8717949
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
부평구 18
15.4%
남동구 17
14.5%
미추홀구 12
10.3%
계양구 12
10.3%
서구 11
9.4%
서구 10
8.5%
중구 9
7.7%
연수구 9
7.7%
동구 8
6.8%
강화군 7
 
6.0%
Other values (2) 4
 
3.4%

Length

2023-12-13T02:54:25.314699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서구 21
17.9%
부평구 18
15.4%
남동구 17
14.5%
미추홀구 12
10.3%
계양구 12
10.3%
중구 10
8.5%
연수구 9
7.7%
동구 8
 
6.8%
강화군 7
 
6.0%
옹진군 3
 
2.6%

읍면동
Text

Distinct108
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-13T02:54:25.578898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length8.8290598
Min length5

Characters and Unicode

Total characters1033
Distinct characters89
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)84.6%

Sample

1st row신흥동3가51-1
2nd row신흥동3가60-26
3rd row북성동1가6-32
4th row북성동1가6-32
5th row신흥동3가69
ValueCountFrequency (%)
경서동 3
 
2.1%
강화읍 3
 
2.1%
동춘동920 2
 
1.4%
청천동3-1 2
 
1.4%
백령면진촌리 2
 
1.4%
가좌동 2
 
1.4%
북성동1가6-32 2
 
1.4%
운북동 2
 
1.4%
만석동2-175 2
 
1.4%
원창동 2
 
1.4%
Other values (115) 123
84.8%
2023-12-13T02:54:26.385872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 110
 
10.6%
- 99
 
9.6%
1 84
 
8.1%
2 72
 
7.0%
3 67
 
6.5%
4 51
 
4.9%
6 45
 
4.4%
7 44
 
4.3%
8 42
 
4.1%
0 39
 
3.8%
Other values (79) 380
36.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 505
48.9%
Other Letter 389
37.7%
Dash Punctuation 99
 
9.6%
Space Separator 30
 
2.9%
Other Punctuation 10
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 110
28.3%
고 12
 
3.1%
천 12
 
3.1%
청 12
 
3.1%
잔 11
 
2.8%
리 10
 
2.6%
송 10
 
2.6%
도 10
 
2.6%
현 10
 
2.6%
가 10
 
2.6%
Other values (66) 182
46.8%
Decimal Number
ValueCountFrequency (%)
1 84
16.6%
2 72
14.3%
3 67
13.3%
4 51
10.1%
6 45
8.9%
7 44
8.7%
8 42
8.3%
0 39
7.7%
5 36
7.1%
9 25
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 99
100.0%
Space Separator
ValueCountFrequency (%)
30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 644
62.3%
Hangul 389
37.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 110
28.3%
고 12
 
3.1%
천 12
 
3.1%
청 12
 
3.1%
잔 11
 
2.8%
리 10
 
2.6%
송 10
 
2.6%
도 10
 
2.6%
현 10
 
2.6%
가 10
 
2.6%
Other values (66) 182
46.8%
Common
ValueCountFrequency (%)
- 99
15.4%
1 84
13.0%
2 72
11.2%
3 67
10.4%
4 51
7.9%
6 45
7.0%
7 44
6.8%
8 42
6.5%
0 39
 
6.1%
5 36
 
5.6%
Other values (3) 65
10.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 644
62.3%
Hangul 389
37.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 110
28.3%
고 12
 
3.1%
천 12
 
3.1%
청 12
 
3.1%
잔 11
 
2.8%
리 10
 
2.6%
송 10
 
2.6%
도 10
 
2.6%
현 10
 
2.6%
가 10
 
2.6%
Other values (66) 182
46.8%
ASCII
ValueCountFrequency (%)
- 99
15.4%
1 84
13.0%
2 72
11.2%
3 67
10.4%
4 51
7.9%
6 45
7.0%
7 44
6.8%
8 42
6.5%
0 39
 
6.1%
5 36
 
5.6%
Other values (3) 65
10.1%

토지지목
Categorical

Distinct13
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
잡종지
34 
공장용지
32 
대
19 
주유소용지
10 
공원
6 
Other values (8)
16 

Length

Max length5
Median length4
Mean length3.0940171
Min length1

Unique

Unique4 ?
Unique (%)3.4%

Sample

1st row공장용지
2nd row잡종지
3rd row공장용지
4th row공장용지
5th row잡종지

Common Values

ValueCountFrequency (%)
잡종지 34
29.1%
공장용지 32
27.4%
대 19
16.2%
주유소용지 10
 
8.5%
공원 6
 
5.1%
학교용지 5
 
4.3%
주차장 3
 
2.6%
철도용지 2
 
1.7%
답 2
 
1.7%
도로 1
 
0.9%
Other values (3) 3
 
2.6%

Length

2023-12-13T02:54:26.566986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
잡종지 34
29.1%
공장용지 32
27.4%
대 19
16.2%
주유소용지 10
 
8.5%
공원 6
 
5.1%
학교용지 5
 
4.3%
주차장 3
 
2.6%
철도용지 2
 
1.7%
답 2
 
1.7%
도로 1
 
0.9%
Other values (3) 3
 
2.6%

지역구분(1_2_3지역)
Categorical

Distinct3
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
3지역
77 
2지역
22 
1지역
18 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3지역 77
65.8%
2지역 22
 
18.8%
1지역 18
 
15.4%

Length

2023-12-13T02:54:26.756016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:54:26.914814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3지역 77
65.8%
2지역 22
 
18.8%
1지역 18
 
15.4%

면적(제곱미터)
Real number (ℝ)

MISSING 

Distinct106
Distinct (%)97.2%
Missing8
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean44418.692
Minimum145
Maximum646604
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T02:54:27.071025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum145
5-th percentile655.4
Q11921
median4948.7
Q316593
95-th percentile288924.5
Maximum646604
Range646459
Interquartile range (IQR)14672

Descriptive statistics

Standard deviation102584.71
Coefficient of variation (CV)2.3094941
Kurtosis12.773128
Mean44418.692
Median Absolute Deviation (MAD)3923.6
Skewness3.3450568
Sum4841637.4
Variance1.0523622 × 1010
MonotonicityNot monotonic
2023-12-13T02:54:27.277094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1081.0 2
 
1.7%
3939.0 2
 
1.7%
2916.0 2
 
1.7%
1998.9 1
 
0.9%
4005.0 1
 
0.9%
18930.0 1
 
0.9%
1485.4 1
 
0.9%
1053.0 1
 
0.9%
1495.0 1
 
0.9%
580.0 1
 
0.9%
Other values (96) 96
82.1%
(Missing) 8
 
6.8%
ValueCountFrequency (%)
145.0 1
0.9%
324.0 1
0.9%
345.0 1
0.9%
362.0 1
0.9%
580.0 1
0.9%
653.0 1
0.9%
659.0 1
0.9%
662.0 1
0.9%
679.0 1
0.9%
737.8 1
0.9%
ValueCountFrequency (%)
646604.0 1
0.9%
365899.5 1
0.9%
364528.0 1
0.9%
350708.7 1
0.9%
327891.0 1
0.9%
294909.5 1
0.9%
279947.0 1
0.9%
273672.1 1
0.9%
193326.3 1
0.9%
186000.0 1
0.9%

시료깊이(미터)
Categorical

Distinct17
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
표토:0~0.15
71 
심토:2~3
11 
심토:0.5~1
8 
심토:4~5
 
5
표토:0.3~1
 
4
Other values (12)
18 

Length

Max length10
Median length9
Mean length8.4786325
Min length6

Unique

Unique7 ?
Unique (%)6.0%

Sample

1st row심토:0.2~0.5
2nd row심토:0.3~0.5
3rd row심토:0.3~0.5
4th row심토:4~5
5th row표토:0~0.15

Common Values

ValueCountFrequency (%)
표토:0~0.15 71
60.7%
심토:2~3 11
 
9.4%
심토:0.5~1 8
 
6.8%
심토:4~5 5
 
4.3%
표토:0.3~1 4
 
3.4%
심토:0.3~0.5 3
 
2.6%
심토:0.3~1 2
 
1.7%
심토:1~1.5 2
 
1.7%
심토:0.4~0.8 2
 
1.7%
심토:0.3~0.6 2
 
1.7%
Other values (7) 7
 
6.0%

Length

2023-12-13T02:54:27.430840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
표토:0~0.15 71
60.7%
심토:2~3 11
 
9.4%
심토:0.5~1 8
 
6.8%
심토:4~5 5
 
4.3%
표토:0.3~1 4
 
3.4%
심토:0.3~0.5 3
 
2.6%
심토:0.3~0.6 2
 
1.7%
심토:0.4~0.8 2
 
1.7%
심토:1~1.5 2
 
1.7%
심토:0.3~1 2
 
1.7%
Other values (7) 7
 
6.0%

조사항목별 오염도(카드뮴)
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)41.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3234188
Minimum0
Maximum2.51
Zeros10
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T02:54:27.611341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.14
median0.22
Q30.36
95-th percentile0.946
Maximum2.51
Range2.51
Interquartile range (IQR)0.22

Descriptive statistics

Standard deviation0.35194818
Coefficient of variation (CV)1.0882119
Kurtosis14.972784
Mean0.3234188
Median Absolute Deviation (MAD)0.11
Skewness3.3031167
Sum37.84
Variance0.12386752
MonotonicityNot monotonic
2023-12-13T02:54:27.790281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0.0 10
 
8.5%
0.16 7
 
6.0%
0.11 6
 
5.1%
0.22 5
 
4.3%
0.34 5
 
4.3%
0.13 4
 
3.4%
0.2 4
 
3.4%
0.17 4
 
3.4%
0.19 4
 
3.4%
0.1 4
 
3.4%
Other values (38) 64
54.7%
ValueCountFrequency (%)
0.0 10
8.5%
0.1 4
 
3.4%
0.11 6
5.1%
0.12 3
 
2.6%
0.13 4
 
3.4%
0.14 3
 
2.6%
0.15 3
 
2.6%
0.16 7
6.0%
0.17 4
 
3.4%
0.18 3
 
2.6%
ValueCountFrequency (%)
2.51 1
0.9%
1.83 1
0.9%
1.24 1
0.9%
1.21 1
0.9%
1.04 1
0.9%
1.01 1
0.9%
0.93 1
0.9%
0.92 1
0.9%
0.9 1
0.9%
0.88 1
0.9%

조사항목별 오염도(구리)
Real number (ℝ)

Distinct113
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.15812
Minimum4.3
Maximum1911.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T02:54:27.949518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.3
5-th percentile8.42
Q122.9
median32.1
Q347.7
95-th percentile169.72
Maximum1911.1
Range1906.8
Interquartile range (IQR)24.8

Descriptive statistics

Standard deviation226.55902
Coefficient of variation (CV)2.9748505
Kurtosis48.377313
Mean76.15812
Median Absolute Deviation (MAD)11.4
Skewness6.7288386
Sum8910.5
Variance51328.991
MonotonicityNot monotonic
2023-12-13T02:54:28.112826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.1 2
 
1.7%
49.4 2
 
1.7%
54.1 2
 
1.7%
32.1 2
 
1.7%
25.7 1
 
0.9%
35.0 1
 
0.9%
27.7 1
 
0.9%
30.7 1
 
0.9%
11.0 1
 
0.9%
17.3 1
 
0.9%
Other values (103) 103
88.0%
ValueCountFrequency (%)
4.3 1
0.9%
5.7 1
0.9%
6.8 1
0.9%
7.5 1
0.9%
7.7 1
0.9%
8.1 1
0.9%
8.5 1
0.9%
10.4 1
0.9%
11.0 1
0.9%
11.1 2
1.7%
ValueCountFrequency (%)
1911.1 1
0.9%
1445.3 1
0.9%
567.6 1
0.9%
451.1 1
0.9%
319.8 1
0.9%
204.2 1
0.9%
161.1 1
0.9%
151.5 1
0.9%
151.3 1
0.9%
96.1 1
0.9%

조사항목별 오염도(비소)
Real number (ℝ)

ZEROS 

Distinct100
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.0275812
Minimum0
Maximum114.19
Zeros14
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T02:54:28.272499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.44
median4.09
Q36.59
95-th percentile14.882
Maximum114.19
Range114.19
Interquartile range (IQR)4.15

Descriptive statistics

Standard deviation10.979446
Coefficient of variation (CV)1.8215344
Kurtosis82.55804
Mean6.0275812
Median Absolute Deviation (MAD)1.8
Skewness8.4491252
Sum705.227
Variance120.54824
MonotonicityNot monotonic
2023-12-13T02:54:28.435639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 14
 
12.0%
5.4 2
 
1.7%
3.04 2
 
1.7%
2.82 2
 
1.7%
4.72 2
 
1.7%
1.6 1
 
0.9%
7.03 1
 
0.9%
7.72 1
 
0.9%
2.18 1
 
0.9%
2.74 1
 
0.9%
Other values (90) 90
76.9%
ValueCountFrequency (%)
0.0 14
12.0%
1.6 1
 
0.9%
1.61 1
 
0.9%
1.64 1
 
0.9%
1.68 1
 
0.9%
1.84 1
 
0.9%
1.86 1
 
0.9%
1.9 1
 
0.9%
2.18 1
 
0.9%
2.25 1
 
0.9%
ValueCountFrequency (%)
114.19 1
0.9%
22.01 1
0.9%
20.09 1
0.9%
19.95 1
0.9%
17.9 1
0.9%
16.69 1
0.9%
14.43 1
0.9%
12.96 1
0.9%
12.17 1
0.9%
12.07 1
0.9%

조사항목별 오염도(수은)
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06025641
Minimum0
Maximum1.43
Zeros7
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T02:54:28.574302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01
median0.02
Q30.05
95-th percentile0.212
Maximum1.43
Range1.43
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.14965743
Coefficient of variation (CV)2.4836766
Kurtosis61.819915
Mean0.06025641
Median Absolute Deviation (MAD)0.01
Skewness7.1899946
Sum7.05
Variance0.022397347
MonotonicityNot monotonic
2023-12-13T02:54:28.700572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.01 28
23.9%
0.02 24
20.5%
0.03 17
14.5%
0.04 11
 
9.4%
0.0 7
 
6.0%
0.05 5
 
4.3%
0.06 4
 
3.4%
0.08 3
 
2.6%
0.09 3
 
2.6%
0.07 3
 
2.6%
Other values (12) 12
10.3%
ValueCountFrequency (%)
0.0 7
 
6.0%
0.01 28
23.9%
0.02 24
20.5%
0.03 17
14.5%
0.04 11
 
9.4%
0.05 5
 
4.3%
0.06 4
 
3.4%
0.07 3
 
2.6%
0.08 3
 
2.6%
0.09 3
 
2.6%
ValueCountFrequency (%)
1.43 1
0.9%
0.47 1
0.9%
0.43 1
0.9%
0.4 1
0.9%
0.3 1
0.9%
0.26 1
0.9%
0.2 1
0.9%
0.16 1
0.9%
0.14 1
0.9%
0.13 1
0.9%

조사항목별 오염도(납)
Real number (ℝ)

Distinct105
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.864957
Minimum4.3
Maximum579.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T02:54:28.856714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.3
5-th percentile12.18
Q120.1
median31.5
Q349.3
95-th percentile134.64
Maximum579.7
Range575.4
Interquartile range (IQR)29.2

Descriptive statistics

Standard deviation67.142535
Coefficient of variation (CV)1.3740426
Kurtosis35.971873
Mean48.864957
Median Absolute Deviation (MAD)13.3
Skewness5.3160414
Sum5717.2
Variance4508.1201
MonotonicityNot monotonic
2023-12-13T02:54:29.039070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28.0 2
 
1.7%
24.2 2
 
1.7%
21.6 2
 
1.7%
46.3 2
 
1.7%
31.5 2
 
1.7%
37.3 2
 
1.7%
24.0 2
 
1.7%
37.9 2
 
1.7%
18.9 2
 
1.7%
17.9 2
 
1.7%
Other values (95) 97
82.9%
ValueCountFrequency (%)
4.3 1
0.9%
9.1 1
0.9%
9.3 1
0.9%
9.9 1
0.9%
10.3 1
0.9%
12.1 1
0.9%
12.2 1
0.9%
14.3 1
0.9%
14.9 1
0.9%
15.3 1
0.9%
ValueCountFrequency (%)
579.7 1
0.9%
325.1 1
0.9%
241.7 1
0.9%
183.4 1
0.9%
161.3 1
0.9%
148.4 1
0.9%
131.2 1
0.9%
128.1 1
0.9%
124.7 1
0.9%
122.1 1
0.9%

조사항목별 오염도(6가크롬)
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0.0
114 
1.3
 
1
4.5
 
1
0.6
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique3 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 114
97.4%
1.3 1
 
0.9%
4.5 1
 
0.9%
0.6 1
 
0.9%

Length

2023-12-13T02:54:29.200825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:54:29.305299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 114
97.4%
1.3 1
 
0.9%
4.5 1
 
0.9%
0.6 1
 
0.9%

조사항목별 오염도(아연)
Real number (ℝ)

Distinct115
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean205.74359
Minimum18.7
Maximum4183.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T02:54:29.446254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18.7
5-th percentile57.68
Q188
median118.6
Q3180.1
95-th percentile574.12
Maximum4183.1
Range4164.4
Interquartile range (IQR)92.1

Descriptive statistics

Standard deviation410.42312
Coefficient of variation (CV)1.9948282
Kurtosis77.495829
Mean205.74359
Median Absolute Deviation (MAD)34.8
Skewness8.2100729
Sum24072
Variance168447.13
MonotonicityNot monotonic
2023-12-13T02:54:29.604928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
182.6 2
 
1.7%
50.1 2
 
1.7%
93.8 1
 
0.9%
92.5 1
 
0.9%
45.9 1
 
0.9%
74.1 1
 
0.9%
61.3 1
 
0.9%
91.7 1
 
0.9%
58.9 1
 
0.9%
114.8 1
 
0.9%
Other values (105) 105
89.7%
ValueCountFrequency (%)
18.7 1
0.9%
45.9 1
0.9%
50.1 2
1.7%
53.5 1
0.9%
53.6 1
0.9%
58.7 1
0.9%
58.9 1
0.9%
60.1 1
0.9%
61.3 1
0.9%
62.9 1
0.9%
ValueCountFrequency (%)
4183.1 1
0.9%
1211.4 1
0.9%
969.6 1
0.9%
753.4 1
0.9%
699.7 1
0.9%
624.2 1
0.9%
561.6 1
0.9%
438.8 1
0.9%
415.2 1
0.9%
411.2 1
0.9%

조사항목별 오염도(니켈)
Real number (ℝ)

Distinct101
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.252137
Minimum1.6
Maximum140.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T02:54:29.753052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.6
5-th percentile5.96
Q112.6
median18.4
Q327
95-th percentile45.16
Maximum140.4
Range138.8
Interquartile range (IQR)14.4

Descriptive statistics

Standard deviation16.586147
Coefficient of variation (CV)0.74537323
Kurtosis21.660427
Mean22.252137
Median Absolute Deviation (MAD)7.1
Skewness3.530727
Sum2603.5
Variance275.10028
MonotonicityNot monotonic
2023-12-13T02:54:29.977597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.0 2
 
1.7%
12.7 2
 
1.7%
25.1 2
 
1.7%
9.4 2
 
1.7%
16.7 2
 
1.7%
9.6 2
 
1.7%
16.5 2
 
1.7%
20.1 2
 
1.7%
14.4 2
 
1.7%
22.7 2
 
1.7%
Other values (91) 97
82.9%
ValueCountFrequency (%)
1.6 1
0.9%
2.4 1
0.9%
3.2 1
0.9%
4.0 2
1.7%
4.2 1
0.9%
6.4 1
0.9%
6.8 1
0.9%
7.1 1
0.9%
7.4 1
0.9%
7.8 1
0.9%
ValueCountFrequency (%)
140.4 1
0.9%
69.6 1
0.9%
60.8 1
0.9%
50.0 1
0.9%
46.3 1
0.9%
46.2 1
0.9%
44.9 1
0.9%
42.5 1
0.9%
41.4 1
0.9%
40.5 1
0.9%

조사항목별 오염도(불소)
Real number (ℝ)

ZEROS 

Distinct86
Distinct (%)73.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean182.17094
Minimum0
Maximum524
Zeros27
Zeros (%)23.1%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T02:54:30.175524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q179
median168
Q3279
95-th percentile398.4
Maximum524
Range524
Interquartile range (IQR)200

Descriptive statistics

Standard deviation143.17636
Coefficient of variation (CV)0.78594512
Kurtosis-0.76484284
Mean182.17094
Median Absolute Deviation (MAD)104
Skewness0.36840989
Sum21314
Variance20499.471
MonotonicityNot monotonic
2023-12-13T02:54:30.346848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27
 
23.1%
189 2
 
1.7%
254 2
 
1.7%
238 2
 
1.7%
90 2
 
1.7%
114 2
 
1.7%
79 1
 
0.9%
384 1
 
0.9%
130 1
 
0.9%
131 1
 
0.9%
Other values (76) 76
65.0%
ValueCountFrequency (%)
0 27
23.1%
68 1
 
0.9%
69 1
 
0.9%
79 1
 
0.9%
83 1
 
0.9%
87 1
 
0.9%
90 2
 
1.7%
91 1
 
0.9%
95 1
 
0.9%
97 1
 
0.9%
ValueCountFrequency (%)
524 1
0.9%
516 1
0.9%
496 1
0.9%
483 1
0.9%
447 1
0.9%
412 1
0.9%
395 1
0.9%
394 1
0.9%
392 1
0.9%
390 1
0.9%

조사항목별 오염도(유기인)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
117 

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 (%)
0 117
100.0%

Length

2023-12-13T02:54:30.556559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:54:30.693546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 117
100.0%

조사항목별 오염도(PCBs)
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0.0
116 
0.12
 
1

Length

Max length4
Median length3
Mean length3.008547
Min length3

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 116
99.1%
0.12 1
 
0.9%

Length

2023-12-13T02:54:30.823172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:54:30.939763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 116
99.1%
0.12 1
 
0.9%

조사항목별 오염도(시안)
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0.0
115 
1.1
 
1
0.7
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 115
98.3%
1.1 1
 
0.9%
0.7 1
 
0.9%

Length

2023-12-13T02:54:31.097282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:54:31.210309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 115
98.3%
1.1 1
 
0.9%
0.7 1
 
0.9%

조사항목별 오염도(페놀류)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
117 

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 (%)
0 117
100.0%

Length

2023-12-13T02:54:31.319112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:54:31.431957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 117
100.0%

조사항목별 오염도(벤젠)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
117 

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 (%)
0 117
100.0%

Length

2023-12-13T02:54:31.542878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:54:31.651557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 117
100.0%

조사항목별 오염도(톨루엔)
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0.0
114 
0.1
 
2
0.2
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 114
97.4%
0.1 2
 
1.7%
0.2 1
 
0.9%

Length

2023-12-13T02:54:31.781999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:54:31.888623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 114
97.4%
0.1 2
 
1.7%
0.2 1
 
0.9%

조사항목별 오염도(에틸벤젤)
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0.0
116 
0.1
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 116
99.1%
0.1 1
 
0.9%

Length

2023-12-13T02:54:32.001192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:54:32.096916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 116
99.1%
0.1 1
 
0.9%

조사항목별 오염도(크실렌)
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0.0
114 
0.1
 
2
0.2
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 114
97.4%
0.1 2
 
1.7%
0.2 1
 
0.9%

Length

2023-12-13T02:54:32.208701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:54:32.334453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 114
97.4%
0.1 2
 
1.7%
0.2 1
 
0.9%

조사항목별 오염도(TPH)
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)29.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.931624
Minimum0
Maximum1894
Zeros82
Zeros (%)70.1%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T02:54:32.696666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q357
95-th percentile546.8
Maximum1894
Range1894
Interquartile range (IQR)57

Descriptive statistics

Standard deviation275.3033
Coefficient of variation (CV)3.1308793
Kurtosis28.464939
Mean87.931624
Median Absolute Deviation (MAD)0
Skewness5.0448953
Sum10288
Variance75791.909
MonotonicityNot monotonic
2023-12-13T02:54:32.815527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 82
70.1%
57 2
 
1.7%
297 1
 
0.9%
153 1
 
0.9%
221 1
 
0.9%
204 1
 
0.9%
55 1
 
0.9%
54 1
 
0.9%
140 1
 
0.9%
113 1
 
0.9%
Other values (25) 25
 
21.4%
ValueCountFrequency (%)
0 82
70.1%
50 1
 
0.9%
52 1
 
0.9%
54 1
 
0.9%
55 1
 
0.9%
57 2
 
1.7%
59 1
 
0.9%
61 1
 
0.9%
67 1
 
0.9%
69 1
 
0.9%
ValueCountFrequency (%)
1894 1
0.9%
1800 1
0.9%
853 1
0.9%
692 1
0.9%
663 1
0.9%
638 1
0.9%
524 1
0.9%
386 1
0.9%
297 1
0.9%
221 1
0.9%

조사항목별 오염도(TCE)
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0.0
113 
0.2
 
2
0.8
 
1
0.1
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 113
96.6%
0.2 2
 
1.7%
0.8 1
 
0.9%
0.1 1
 
0.9%

Length

2023-12-13T02:54:32.945680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:54:33.030624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 113
96.6%
0.2 2
 
1.7%
0.8 1
 
0.9%
0.1 1
 
0.9%

조사항목별 오염도(PCE)
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0.0
115 
0.1
 
1
4.8
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 115
98.3%
0.1 1
 
0.9%
4.8 1
 
0.9%

Length

2023-12-13T02:54:33.123207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:54:33.221537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 115
98.3%
0.1 1
 
0.9%
4.8 1
 
0.9%

조사항목별 오염도(벤조(a)피렌)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
117 

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 (%)
0 117
100.0%

Length

2023-12-13T02:54:33.328142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:54:33.416873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 117
100.0%

조사항목별 오염도(1_2-디클로로에탄)
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0.0
115 
0.1
 
2

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 115
98.3%
0.1 2
 
1.7%

Length

2023-12-13T02:54:33.501907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:54:33.594981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 115
98.3%
0.1 2
 
1.7%

pH
Real number (ℝ)

Distinct55
Distinct (%)47.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.3813675
Minimum5.67
Maximum10.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T02:54:33.712721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.67
5-th percentile6.772
Q17.8
median8.57
Q39.1
95-th percentile9.5
Maximum10.3
Range4.63
Interquartile range (IQR)1.3

Descriptive statistics

Standard deviation0.95190001
Coefficient of variation (CV)0.11357335
Kurtosis-0.23922732
Mean8.3813675
Median Absolute Deviation (MAD)0.63
Skewness-0.59577636
Sum980.62
Variance0.90611363
MonotonicityNot monotonic
2023-12-13T02:54:33.845747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.9 7
 
6.0%
9.5 6
 
5.1%
7.2 6
 
5.1%
8.6 5
 
4.3%
9.2 5
 
4.3%
7.5 4
 
3.4%
8.4 4
 
3.4%
9.3 4
 
3.4%
9.4 4
 
3.4%
8.7 3
 
2.6%
Other values (45) 69
59.0%
ValueCountFrequency (%)
5.67 1
 
0.9%
6.0 1
 
0.9%
6.3 2
 
1.7%
6.7 1
 
0.9%
6.74 1
 
0.9%
6.78 1
 
0.9%
6.8 2
 
1.7%
6.9 3
2.6%
7.1 3
2.6%
7.2 6
5.1%
ValueCountFrequency (%)
10.3 1
 
0.9%
10.1 1
 
0.9%
9.9 1
 
0.9%
9.8 1
 
0.9%
9.6 1
 
0.9%
9.5 6
5.1%
9.42 1
 
0.9%
9.4 4
3.4%
9.39 1
 
0.9%
9.37 1
 
0.9%

Sample

연번조사지역종류시도시군구읍면동토지지목지역구분(1_2_3지역)면적(제곱미터)시료깊이(미터)조사항목별 오염도(카드뮴)조사항목별 오염도(구리)조사항목별 오염도(비소)조사항목별 오염도(수은)조사항목별 오염도(납)조사항목별 오염도(6가크롬)조사항목별 오염도(아연)조사항목별 오염도(니켈)조사항목별 오염도(불소)조사항목별 오염도(유기인)조사항목별 오염도(PCBs)조사항목별 오염도(시안)조사항목별 오염도(페놀류)조사항목별 오염도(벤젠)조사항목별 오염도(톨루엔)조사항목별 오염도(에틸벤젤)조사항목별 오염도(크실렌)조사항목별 오염도(TPH)조사항목별 오염도(TCE)조사항목별 오염도(PCE)조사항목별 오염도(벤조(a)피렌)조사항목별 오염도(1_2-디클로로에탄)pH
01산업단지 및 공장지역인천광역시중구신흥동3가51-1공장용지3지역49244.8심토:0.2~0.50.1125.71.60.0516.60.093.817.251600.00.0000.00.00.000.00.000.09.5
12폐기물 처리 및 재활용 관련 지역인천광역시중구신흥동3가60-26잡종지3지역3304.6심토:0.3~0.50.3133.12.410.1440.90.0200.19.437900.00.0000.00.00.018000.00.000.09.0
23산업단지 및 공장지역인천광역시중구북성동1가6-32공장용지3지역78121.3심토:0.3~0.51.2493.91.680.0356.40.062.99.412800.00.0000.00.00.000.00.000.09.4
3<NA>산업단지 및 공장지역<NA>중구북성동1가6-32공장용지3지역<NA>심토:4~50.32151.53.91.43122.10.0415.217.819000.00.0000.00.00.000.00.000.09.2
44공장폐수 유입지역인천광역시중구신흥동3가69잡종지3지역186000.0표토:0~0.150.2231.55.690.0330.10.0132.327.831200.00.0000.00.00.08530.00.000.08.7
55교통관련시설지역인천광역시중구운서동2837잡종지3지역193326.3심토:1~1.50.1310.44.730.0133.10.083.34.2000.00.0000.00.00.000.00.000.09.5
66교통관련시설지역인천광역시중구운북동 1330-3주차장3지역12565.1표토:0~0.150.1525.03.270.0125.90.092.424.7000.00.0000.00.00.000.00.000.08.9
77철도관련시설 및 철도 폐침목사용지역인천광역시중구운서동 2866철도용지3지역365899.5표토:0~0.150.011.14.070.0236.40.083.86.8000.00.0000.00.00.000.00.000.07.1
88어린이 놀이시설지역인천광역시중구중산동1880-3학교용지1지역13801.4표토:0~0.150.06.80.00.021.90.053.69.8000.00.0000.00.00.000.00.000.08.03
99사고?민원 등 발생지역인천광역시중구운북동 789-110답1지역659.0표토:0~0.150.116.53.330.01128.10.064.815.4000.00.0000.00.00.000.00.000.08.86
연번조사지역종류시도시군구읍면동토지지목지역구분(1_2_3지역)면적(제곱미터)시료깊이(미터)조사항목별 오염도(카드뮴)조사항목별 오염도(구리)조사항목별 오염도(비소)조사항목별 오염도(수은)조사항목별 오염도(납)조사항목별 오염도(6가크롬)조사항목별 오염도(아연)조사항목별 오염도(니켈)조사항목별 오염도(불소)조사항목별 오염도(유기인)조사항목별 오염도(PCBs)조사항목별 오염도(시안)조사항목별 오염도(페놀류)조사항목별 오염도(벤젠)조사항목별 오염도(톨루엔)조사항목별 오염도(에틸벤젤)조사항목별 오염도(크실렌)조사항목별 오염도(TPH)조사항목별 오염도(TCE)조사항목별 오염도(PCE)조사항목별 오염도(벤조(a)피렌)조사항목별 오염도(1_2-디클로로에탄)pH
107100공장폐수 유입지역인천광역시강화군선원면 냉정리1315잡종지3지역3911.0표토:0~0.150.1750.94.720.0218.90.0185.821.6000.00.0000.00.00.0500.00.000.08.4
108101산업단지 및 공장지역인천광역시강화군강화읍 월곳리750-12잡종지3지역1335.82표토:0~0.150.1127.80.00.017.80.086.528.8000.00.0000.00.00.000.00.000.06.3
109102공장폐수 유입지역인천광역시강화군강화읍 용정리878-7잡종지3지역2236.0표토:0~0.150.1626.37.010.0320.00.0111.014.4000.00.0000.00.00.000.00.000.06.9
110103폐기물 처리 및 재활용 관련 지역인천광역시강화군강화읍 용정리878-1대2지역12763.0표토:0~0.150.1722.110.960.0424.00.082.122.3000.00.0000.00.00.000.00.000.06.0
111104폐기물 처리 및 재활용 관련 지역인천광역시강화군송해면 하도리53목장용지1지역1081.0표토:0~0.150.1632.15.560.0216.40.095.822.2000.00.0000.00.00.000.00.000.08.2
112105폐기물 처리 및 재활용 관련 지역인천광역시강화군불은면 고능리912-21잡종지3지역7729.0표토:0~0.150.1134.90.00.022.20.0141.542.5000.00.0000.00.00.000.00.000.06.78
113106산지등의복구 및 공유수면매립지역인천광역시강화군양사면 인화리844-6대2지역3306.0표토:0~0.50.164.312.170.010.30.053.52.4000.00.0000.00.00.000.00.000.09.8
114107폐기물 처리 및 재활용 관련 지역인천광역시옹진군백령면진촌리 2376잡종지3지역6962.0표토:0~0.150.05.70.00.014.30.018.74.0000.00.0000.00.00.000.00.000.07.5
115108폐기물 처리 및 재활용 관련 지역인천광역시옹진군백령면진촌리 1672-7잡종지3지역10494.0표토:0~0.150.1719.05.40.0215.80.088.416.3000.00.0000.00.00.000.00.000.07.1
116109폐기물 처리 및 재활용 관련 지역인천광역시옹진군북도면시도리 277-7잡종지3지역3939.0표토:0~0.150.1114.54.190.0417.10.071.915.716300.00.0000.00.00.000.00.000.08.6