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
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15104396&srcSe=7661IVAWM27C61E190

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 started2024-04-17 21:04:23.977129
Analysis finished2024-04-17 21:04:24.261687
Duration0.28 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
2024-04-18T06:04:24.323983image/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
2024-04-18T06:04:24.445457image/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

2024-04-18T06:04:24.561096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:04:24.671503image/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

2024-04-18T06:04:24.812666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:04:24.916155image/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

2024-04-18T06:04:25.016116image/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
2024-04-18T06:04:25.216101image/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%
2024-04-18T06:04:25.527565image/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

2024-04-18T06:04:25.639776image/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

2024-04-18T06:04:25.737095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:04:25.812365image/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
2024-04-18T06:04:25.897938image/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
2024-04-18T06:04:26.006465image/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

2024-04-18T06:04:26.120074image/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
2024-04-18T06:04:26.219809image/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
2024-04-18T06:04:26.328462image/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
2024-04-18T06:04:26.429706image/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
2024-04-18T06:04:26.536452image/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
2024-04-18T06:04:26.641937image/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
2024-04-18T06:04:26.751583image/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
2024-04-18T06:04:26.843458image/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
2024-04-18T06:04:26.932302image/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
2024-04-18T06:04:27.034065image/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
2024-04-18T06:04:27.137523image/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

2024-04-18T06:04:27.234258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:04:27.311399image/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
2024-04-18T06:04:27.396999image/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
2024-04-18T06:04:27.495384image/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
2024-04-18T06:04:27.604897image/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
2024-04-18T06:04:27.714838image/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
2024-04-18T06:04:27.823854image/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
2024-04-18T06:04:27.935489image/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

2024-04-18T06:04:28.029379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:04:28.097424image/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

2024-04-18T06:04:28.169234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:04:28.243064image/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

2024-04-18T06:04:28.315794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:04:28.393724image/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

2024-04-18T06:04:28.493513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:04:28.573205image/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

2024-04-18T06:04:28.642022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:04:28.709652image/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

2024-04-18T06:04:28.777824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:04:28.861180image/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

2024-04-18T06:04:28.937994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:04:29.007606image/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

2024-04-18T06:04:29.459828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:04:29.542614image/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
2024-04-18T06:04:29.634815image/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
2024-04-18T06:04:29.727807image/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

2024-04-18T06:04:29.826858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:04:29.925708image/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

2024-04-18T06:04:30.017662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:04:30.094472image/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

2024-04-18T06:04:30.170429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:04:30.248038image/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

2024-04-18T06:04:30.317174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:04:30.387896image/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
2024-04-18T06:04:30.468735image/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
2024-04-18T06:04:30.568870image/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