Overview

Dataset statistics

Number of variables30
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.9 KiB
Average record size in memory244.3 B

Variable types

Text6
Numeric1
Categorical23

Alerts

분기 has constant value ""Constant
년도 has constant value ""Constant
일반세균(mg/L) has constant value ""Constant
시안(mg/L) is highly imbalanced (56.4%)Imbalance
유기인(mg/L) is highly imbalanced (56.4%)Imbalance
페놀(mg/L) is highly imbalanced (56.4%)Imbalance
주소 has unique valuesUnique
법정동코드 has unique valuesUnique
지점코드 has unique valuesUnique

Reproduction

Analysis started2023-12-10 11:28:57.874336
Analysis finished2023-12-10 11:28:58.571129
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주소
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T20:28:58.940952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length18.83
Min length11

Characters and Unicode

Total characters1883
Distinct characters159
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 row경주시 배동 ****
2nd row경기도 양주시 남면 상수리 ***-*
3rd row경기도 군포시 용호*로 **번길 **
4th row경기도 광주시 송정동 ***
5th row경기도 의왕시 오전동 ***
ValueCountFrequency (%)
96
 
21.3%
경기도 29
 
6.4%
경상북도 17
 
3.8%
경상남도 11
 
2.4%
전라북도 11
 
2.4%
전라남도 10
 
2.2%
강원도 9
 
2.0%
충청남도 7
 
1.6%
충청북도 5
 
1.1%
경주시 4
 
0.9%
Other values (199) 251
55.8%
2023-12-10T20:28:59.650193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 357
19.0%
352
18.7%
도 101
 
5.4%
시 86
 
4.6%
동 71
 
3.8%
경 64
 
3.4%
- 58
 
3.1%
상 37
 
2.0%
리 36
 
1.9%
북 36
 
1.9%
Other values (149) 685
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1116
59.3%
Other Punctuation 357
 
19.0%
Space Separator 352
 
18.7%
Dash Punctuation 58
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 101
 
9.1%
시 86
 
7.7%
동 71
 
6.4%
경 64
 
5.7%
상 37
 
3.3%
리 36
 
3.2%
북 36
 
3.2%
남 34
 
3.0%
기 32
 
2.9%
산 29
 
2.6%
Other values (146) 590
52.9%
Other Punctuation
ValueCountFrequency (%)
* 357
100.0%
Space Separator
ValueCountFrequency (%)
352
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1116
59.3%
Common 767
40.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 101
 
9.1%
시 86
 
7.7%
동 71
 
6.4%
경 64
 
5.7%
상 37
 
3.3%
리 36
 
3.2%
북 36
 
3.2%
남 34
 
3.0%
기 32
 
2.9%
산 29
 
2.6%
Other values (146) 590
52.9%
Common
ValueCountFrequency (%)
* 357
46.5%
352
45.9%
- 58
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1116
59.3%
ASCII 767
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 357
46.5%
352
45.9%
- 58
 
7.6%
Hangul
ValueCountFrequency (%)
도 101
 
9.1%
시 86
 
7.7%
동 71
 
6.4%
경 64
 
5.7%
상 37
 
3.3%
리 36
 
3.2%
북 36
 
3.2%
남 34
 
3.0%
기 32
 
2.9%
산 29
 
2.6%
Other values (146) 590
52.9%

법정동코드
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.450312 × 109
Minimum4.111113 × 109
Maximum4.889036 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:28:59.878083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.111113 × 109
5-th percentile4.1219746 × 109
Q14.1605141 × 109
median4.4970276 × 109
Q34.71302 × 109
95-th percentile4.8330107 × 109
Maximum4.889036 × 109
Range7.7792302 × 108
Interquartile range (IQR)5.5250585 × 108

Descriptive statistics

Standard deviation2.6259879 × 108
Coefficient of variation (CV)0.059006828
Kurtosis-1.5390742
Mean4.450312 × 109
Median Absolute Deviation (MAD)2.5400707 × 108
Skewness0.054125958
Sum4.450312 × 1011
Variance6.8958127 × 1016
MonotonicityNot monotonic
2023-12-10T20:29:00.104477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4713014300 1
 
1.0%
4315011500 1
 
1.0%
4514012800 1
 
1.0%
4615011400 1
 
1.0%
4611010100 1
 
1.0%
4713012400 1
 
1.0%
4615013300 1
 
1.0%
4518012000 1
 
1.0%
4514012200 1
 
1.0%
4611016000 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
4111113000 1
1.0%
4111312800 1
1.0%
4113310500 1
1.0%
4117110200 1
1.0%
4121010700 1
1.0%
4122025321 1
1.0%
4122031032 1
1.0%
4122032023 1
1.0%
4125011200 1
1.0%
4127310300 1
1.0%
ValueCountFrequency (%)
4889036023 1
1.0%
4873035025 1
1.0%
4873025027 1
1.0%
4833034024 1
1.0%
4833011100 1
1.0%
4833010700 1
1.0%
4825011900 1
1.0%
4817012100 1
1.0%
4817011900 1
1.0%
4812312600 1
1.0%

염소이온(mg/L)
Text

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T20:29:00.521197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length6.19
Min length2

Characters and Unicode

Total characters619
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)98.0%

Sample

1st row10.9
2nd row4.639
3rd row3.141
4th row44.57
5th row55.108
ValueCountFrequency (%)
미검사 2
 
2.0%
30.17836947978381 1
 
1.0%
90.1 1
 
1.0%
81.64631871953918 1
 
1.0%
303.118 1
 
1.0%
48.2 1
 
1.0%
24.22458960757784 1
 
1.0%
19.8803 1
 
1.0%
47.442 1
 
1.0%
132.16945722369698 1
 
1.0%
Other values (89) 89
89.0%
2023-12-10T20:29:01.134760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 93
15.0%
3 62
10.0%
4 62
10.0%
8 60
9.7%
1 56
9.0%
2 56
9.0%
9 55
8.9%
5 47
7.6%
7 44
7.1%
6 43
6.9%
Other values (4) 41
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 520
84.0%
Other Punctuation 93
 
15.0%
Other Letter 6
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 62
11.9%
4 62
11.9%
8 60
11.5%
1 56
10.8%
2 56
10.8%
9 55
10.6%
5 47
9.0%
7 44
8.5%
6 43
8.3%
0 35
6.7%
Other Letter
ValueCountFrequency (%)
미 2
33.3%
검 2
33.3%
사 2
33.3%
Other Punctuation
ValueCountFrequency (%)
. 93
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 613
99.0%
Hangul 6
 
1.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 93
15.2%
3 62
10.1%
4 62
10.1%
8 60
9.8%
1 56
9.1%
2 56
9.1%
9 55
9.0%
5 47
7.7%
7 44
7.2%
6 43
7.0%
Hangul
ValueCountFrequency (%)
미 2
33.3%
검 2
33.3%
사 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 613
99.0%
Hangul 6
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 93
15.2%
3 62
10.1%
4 62
10.1%
8 60
9.8%
1 56
9.1%
2 56
9.1%
9 55
9.0%
5 47
7.7%
7 44
7.2%
6 43
7.0%
Hangul
ValueCountFrequency (%)
미 2
33.3%
검 2
33.3%
사 2
33.3%

대장균군수(mg/L)
Categorical

Distinct34
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
35 
불검출
20 
2
5 
미검사
 
3
5
 
3
Other values (29)
34 

Length

Max length3
Median length1
Mean length1.78
Min length1

Unique

Unique24 ?
Unique (%)24.0%

Sample

1st row46
2nd row0
3rd row0
4th row9
5th row3

Common Values

ValueCountFrequency (%)
0 35
35.0%
불검출 20
20.0%
2 5
 
5.0%
미검사 3
 
3.0%
5 3
 
3.0%
10 2
 
2.0%
14 2
 
2.0%
9 2
 
2.0%
6 2
 
2.0%
4 2
 
2.0%
Other values (24) 24
24.0%

Length

2023-12-10T20:29:01.330657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 35
35.0%
불검출 20
20.0%
2 5
 
5.0%
미검사 3
 
3.0%
5 3
 
3.0%
10 2
 
2.0%
14 2
 
2.0%
9 2
 
2.0%
6 2
 
2.0%
4 2
 
2.0%
Other values (24) 24
24.0%

음용여부명
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
비음용
81 
음용
19 

Length

Max length3
Median length3
Mean length2.81
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비음용 81
81.0%
음용 19
 
19.0%

Length

2023-12-10T20:29:01.531219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:29:01.670280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비음용 81
81.0%
음용 19
 
19.0%

음용여부
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
X
81 
O
19 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
X 81
81.0%
O 19
 
19.0%

Length

2023-12-10T20:29:01.797394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:29:01.940574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
x 81
81.0%
o 19
 
19.0%

전기전도도(mg/L)
Text

Distinct94
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T20:29:02.317492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.17
Min length2

Characters and Unicode

Total characters317
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)88.0%

Sample

1st row269
2nd row113
3rd row160
4th row481
5th row547
ValueCountFrequency (%)
160 2
 
2.0%
345 2
 
2.0%
412 2
 
2.0%
미검사 2
 
2.0%
481 2
 
2.0%
350 2
 
2.0%
538 1
 
1.0%
440 1
 
1.0%
719 1
 
1.0%
1395 1
 
1.0%
Other values (84) 84
84.0%
2023-12-10T20:29:02.943569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 40
12.6%
5 37
11.7%
3 35
11.0%
2 34
10.7%
4 32
10.1%
6 31
9.8%
0 30
9.5%
9 28
8.8%
7 21
6.6%
8 16
 
5.0%
Other values (4) 13
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 304
95.9%
Other Punctuation 7
 
2.2%
Other Letter 6
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 40
13.2%
5 37
12.2%
3 35
11.5%
2 34
11.2%
4 32
10.5%
6 31
10.2%
0 30
9.9%
9 28
9.2%
7 21
6.9%
8 16
 
5.3%
Other Letter
ValueCountFrequency (%)
미 2
33.3%
검 2
33.3%
사 2
33.3%
Other Punctuation
ValueCountFrequency (%)
. 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 311
98.1%
Hangul 6
 
1.9%

Most frequent character per script

Common
ValueCountFrequency (%)
1 40
12.9%
5 37
11.9%
3 35
11.3%
2 34
10.9%
4 32
10.3%
6 31
10.0%
0 30
9.6%
9 28
9.0%
7 21
6.8%
8 16
 
5.1%
Hangul
ValueCountFrequency (%)
미 2
33.3%
검 2
33.3%
사 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 311
98.1%
Hangul 6
 
1.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 40
12.9%
5 37
11.9%
3 35
11.3%
2 34
10.9%
4 32
10.3%
6 31
10.0%
0 30
9.6%
9 28
9.0%
7 21
6.8%
8 16
 
5.1%
Hangul
ValueCountFrequency (%)
미 2
33.3%
검 2
33.3%
사 2
33.3%

분기
Categorical

CONSTANT 

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

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row상 반 기
2nd row상 반 기
3rd row상 반 기
4th row상 반 기
5th row상 반 기

Common Values

ValueCountFrequency (%)
상 반 기 100
100.0%

Length

2023-12-10T20:29:03.160148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:29:03.307747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상 100
33.3%
반 100
33.3%
기 100
33.3%

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

2023-12-10T20:29:03.772973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:29:03.891507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017 100
100.0%

질산성질소(mg/L)
Text

Distinct93
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T20:29:04.200631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length5.6
Min length1

Characters and Unicode

Total characters560
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)89.0%

Sample

1st row.2
2nd row2.605
3rd row.112
4th row.142
5th row2.494
ValueCountFrequency (%)
1.5 4
 
4.0%
불검출 3
 
3.0%
미검사 2
 
2.0%
3 2
 
2.0%
4 2
 
2.0%
12.837 1
 
1.0%
11.959980419649037 1
 
1.0%
355 1
 
1.0%
8.782 1
 
1.0%
3.7576597139776413 1
 
1.0%
Other values (82) 82
82.0%
2023-12-10T20:29:04.796293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 91
16.2%
1 66
11.8%
6 52
9.3%
2 51
9.1%
4 47
8.4%
5 46
8.2%
3 46
8.2%
8 44
7.9%
9 42
7.5%
7 35
 
6.2%
Other values (6) 40
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 454
81.1%
Other Punctuation 91
 
16.2%
Other Letter 15
 
2.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 66
14.5%
6 52
11.5%
2 51
11.2%
4 47
10.4%
5 46
10.1%
3 46
10.1%
8 44
9.7%
9 42
9.3%
7 35
7.7%
0 25
 
5.5%
Other Letter
ValueCountFrequency (%)
검 5
33.3%
불 3
20.0%
출 3
20.0%
미 2
 
13.3%
사 2
 
13.3%
Other Punctuation
ValueCountFrequency (%)
. 91
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 545
97.3%
Hangul 15
 
2.7%

Most frequent character per script

Common
ValueCountFrequency (%)
. 91
16.7%
1 66
12.1%
6 52
9.5%
2 51
9.4%
4 47
8.6%
5 46
8.4%
3 46
8.4%
8 44
8.1%
9 42
7.7%
7 35
 
6.4%
Hangul
ValueCountFrequency (%)
검 5
33.3%
불 3
20.0%
출 3
20.0%
미 2
 
13.3%
사 2
 
13.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 545
97.3%
Hangul 15
 
2.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 91
16.7%
1 66
12.1%
6 52
9.5%
2 51
9.4%
4 47
8.6%
5 46
8.4%
3 46
8.4%
8 44
8.1%
9 42
7.7%
7 35
 
6.4%
Hangul
ValueCountFrequency (%)
검 5
33.3%
불 3
20.0%
출 3
20.0%
미 2
 
13.3%
사 2
 
13.3%

수소이온농도(mg/L)
Text

Distinct58
Distinct (%)58.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T20:29:05.141597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.22
Min length1

Characters and Unicode

Total characters322
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)41.0%

Sample

1st row8.2
2nd row6.52
3rd row7.8
4th row7.1
5th row7.2
ValueCountFrequency (%)
7 6
 
6.0%
7.3 6
 
6.0%
7.2 5
 
5.0%
6.8 4
 
4.0%
7.9 4
 
4.0%
7.1 4
 
4.0%
6.7 4
 
4.0%
7.4 4
 
4.0%
7.6 3
 
3.0%
6.5 3
 
3.0%
Other values (48) 57
57.0%
2023-12-10T20:29:05.649228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 90
28.0%
7 70
21.7%
6 36
 
11.2%
8 24
 
7.5%
2 18
 
5.6%
4 17
 
5.3%
1 15
 
4.7%
3 14
 
4.3%
5 14
 
4.3%
9 13
 
4.0%
Other values (4) 11
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 226
70.2%
Other Punctuation 90
 
28.0%
Other Letter 6
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 70
31.0%
6 36
15.9%
8 24
 
10.6%
2 18
 
8.0%
4 17
 
7.5%
1 15
 
6.6%
3 14
 
6.2%
5 14
 
6.2%
9 13
 
5.8%
0 5
 
2.2%
Other Letter
ValueCountFrequency (%)
미 2
33.3%
검 2
33.3%
사 2
33.3%
Other Punctuation
ValueCountFrequency (%)
. 90
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 316
98.1%
Hangul 6
 
1.9%

Most frequent character per script

Common
ValueCountFrequency (%)
. 90
28.5%
7 70
22.2%
6 36
 
11.4%
8 24
 
7.6%
2 18
 
5.7%
4 17
 
5.4%
1 15
 
4.7%
3 14
 
4.4%
5 14
 
4.4%
9 13
 
4.1%
Hangul
ValueCountFrequency (%)
미 2
33.3%
검 2
33.3%
사 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 316
98.1%
Hangul 6
 
1.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 90
28.5%
7 70
22.2%
6 36
 
11.4%
8 24
 
7.6%
2 18
 
5.7%
4 17
 
5.4%
1 15
 
4.7%
3 14
 
4.4%
5 14
 
4.4%
9 13
 
4.1%
Hangul
ValueCountFrequency (%)
미 2
33.3%
검 2
33.3%
사 2
33.3%

지점명
Categorical

Distinct7
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
한강청
51 
대구청
14 
원주청
8 
새만금청
8 
금강청
7 
Other values (2)
12 

Length

Max length4
Median length3
Mean length3.2
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한강청 51
51.0%
대구청 14
 
14.0%
원주청 8
 
8.0%
새만금청 8
 
8.0%
금강청 7
 
7.0%
낙동강청 7
 
7.0%
영산강청 5
 
5.0%

Length

2023-12-10T20:29:05.849299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:29:06.046536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한강청 51
51.0%
대구청 14
 
14.0%
원주청 8
 
8.0%
새만금청 8
 
8.0%
금강청 7
 
7.0%
낙동강청 7
 
7.0%
영산강청 5
 
5.0%

지점코드
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T20:29:06.497627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters600
Distinct characters25
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
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 rowUT0103
2nd rowOH0202
3rd rowOH0403
4th rowOH0103
5th rowFH1502
ValueCountFrequency (%)
ut0103 1
 
1.0%
fy0602 1
 
1.0%
cy0501 1
 
1.0%
cy0302 1
 
1.0%
ft0701 1
 
1.0%
cy0502 1
 
1.0%
fc0601 1
 
1.0%
fc0301 1
 
1.0%
fy0402 1
 
1.0%
fn1302 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T20:29:07.100380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 192
32.0%
1 59
 
9.8%
3 48
 
8.0%
2 44
 
7.3%
H 29
 
4.8%
F 27
 
4.5%
T 22
 
3.7%
5 20
 
3.3%
C 19
 
3.2%
4 19
 
3.2%
Other values (15) 121
20.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 400
66.7%
Uppercase Letter 200
33.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
H 29
14.5%
F 27
13.5%
T 22
11.0%
C 19
9.5%
P 14
7.0%
N 13
6.5%
S 12
 
6.0%
W 12
 
6.0%
K 12
 
6.0%
Y 10
 
5.0%
Other values (5) 30
15.0%
Decimal Number
ValueCountFrequency (%)
0 192
48.0%
1 59
 
14.8%
3 48
 
12.0%
2 44
 
11.0%
5 20
 
5.0%
4 19
 
4.8%
6 11
 
2.8%
7 4
 
1.0%
8 2
 
0.5%
9 1
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 400
66.7%
Latin 200
33.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
H 29
14.5%
F 27
13.5%
T 22
11.0%
C 19
9.5%
P 14
7.0%
N 13
6.5%
S 12
 
6.0%
W 12
 
6.0%
K 12
 
6.0%
Y 10
 
5.0%
Other values (5) 30
15.0%
Common
ValueCountFrequency (%)
0 192
48.0%
1 59
 
14.8%
3 48
 
12.0%
2 44
 
11.0%
5 20
 
5.0%
4 19
 
4.8%
6 11
 
2.8%
7 4
 
1.0%
8 2
 
0.5%
9 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 192
32.0%
1 59
 
9.8%
3 48
 
8.0%
2 44
 
7.3%
H 29
 
4.8%
F 27
 
4.5%
T 22
 
3.7%
5 20
 
3.3%
C 19
 
3.2%
4 19
 
3.2%
Other values (15) 121
20.2%

트리클로로에틸렌(mg/L)
Categorical

Distinct14
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
불검출
59 
0
22 
미검사
7 
.001
 
2
.002
 
1
Other values (9)
9 

Length

Max length4
Median length3
Mean length2.65
Min length1

Unique

Unique10 ?
Unique (%)10.0%

Sample

1st row불검출
2nd row.002
3rd row0
4th row0
5th row.001

Common Values

ValueCountFrequency (%)
불검출 59
59.0%
0 22
 
22.0%
미검사 7
 
7.0%
.001 2
 
2.0%
.002 1
 
1.0%
.007 1
 
1.0%
.012 1
 
1.0%
.006 1
 
1.0%
.048 1
 
1.0%
.041 1
 
1.0%
Other values (4) 4
 
4.0%

Length

2023-12-10T20:29:07.324585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
불검출 59
59.0%
0 22
 
22.0%
미검사 7
 
7.0%
001 2
 
2.0%
002 1
 
1.0%
007 1
 
1.0%
012 1
 
1.0%
006 1
 
1.0%
048 1
 
1.0%
041 1
 
1.0%
Other values (4) 4
 
4.0%

용도
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
생활
60 
음용
40 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row생활
2nd row음용
3rd row생활
4th row생활
5th row생활

Common Values

ValueCountFrequency (%)
생활 60
60.0%
음용 40
40.0%

Length

2023-12-10T20:29:07.499568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:29:07.634664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생활 60
60.0%
음용 40
40.0%

크실렌(mg/L)
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
불검출
64 
0
29 
미검사
7 

Length

Max length3
Median length3
Mean length2.42
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 64
64.0%
0 29
29.0%
미검사 7
 
7.0%

Length

2023-12-10T20:29:07.796082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:29:07.956846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 64
64.0%
0 29
29.0%
미검사 7
 
7.0%

일반세균(mg/L)
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

2023-12-10T20:29:08.114045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:29:08.252055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

카드뮴(mg/L)
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
불검출
64 
0
29 
미검사
7 

Length

Max length3
Median length3
Mean length2.42
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 64
64.0%
0 29
29.0%
미검사 7
 
7.0%

Length

2023-12-10T20:29:08.396038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:29:08.568431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 64
64.0%
0 29
29.0%
미검사 7
 
7.0%

비소_값
Categorical

Distinct21
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
불검출
44 
0
27 
미검사
6 
.007
 
4
.008
 
3
Other values (16)
16 

Length

Max length14
Median length13.5
Mean length3.84
Min length1

Unique

Unique16 ?
Unique (%)16.0%

Sample

1st row.023
2nd row.00785
3rd row.00582
4th row0
5th row0

Common Values

ValueCountFrequency (%)
불검출 44
44.0%
0 27
27.0%
미검사 6
 
6.0%
.007 4
 
4.0%
.008 3
 
3.0%
.0006874060057 1
 
1.0%
.00582 1
 
1.0%
.003450716294 1
 
1.0%
.002470672729 1
 
1.0%
.002569251239 1
 
1.0%
Other values (11) 11
 
11.0%

Length

2023-12-10T20:29:08.735954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
불검출 44
44.0%
0 27
27.0%
미검사 6
 
6.0%
007 4
 
4.0%
008 3
 
3.0%
00785 1
 
1.0%
023 1
 
1.0%
002066705327 1
 
1.0%
000503363795 1
 
1.0%
004288567354 1
 
1.0%
Other values (11) 11
 
11.0%

시안(mg/L)
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
불검출
91 
미검사
 
9

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 91
91.0%
미검사 9
 
9.0%

Length

2023-12-10T20:29:08.917610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:29:09.048340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 91
91.0%
미검사 9
 
9.0%

수은(mg/L)
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
불검출
64 
0
29 
미검사
7 

Length

Max length3
Median length3
Mean length2.42
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 64
64.0%
0 29
29.0%
미검사 7
 
7.0%

Length

2023-12-10T20:29:09.219968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:29:09.398990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 64
64.0%
0 29
29.0%
미검사 7
 
7.0%

유기인(mg/L)
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
불검출
91 
미검사
 
9

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 91
91.0%
미검사 9
 
9.0%

Length

2023-12-10T20:29:09.564976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:29:09.692714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 91
91.0%
미검사 9
 
9.0%

페놀(mg/L)
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
불검출
91 
미검사
 
9

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 91
91.0%
미검사 9
 
9.0%

Length

2023-12-10T20:29:09.824846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:29:09.981676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 91
91.0%
미검사 9
 
9.0%

납(mg/L)
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
불검출
63 
0
29 
미검사
7 
.0006145905787
 
1

Length

Max length14
Median length3
Mean length2.53
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 63
63.0%
0 29
29.0%
미검사 7
 
7.0%
.0006145905787 1
 
1.0%

Length

2023-12-10T20:29:10.143595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:29:10.266145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 63
63.0%
0 29
29.0%
미검사 7
 
7.0%
0006145905787 1
 
1.0%

6가크롬(mg/L)
Categorical

Distinct7
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
불검출
57 
0
29 
미검사
6 
.0002
 
5
.026
 
1
Other values (2)
 
2

Length

Max length5
Median length3
Mean length2.57
Min length1

Unique

Unique3 ?
Unique (%)3.0%

Sample

1st row.0002
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
불검출 57
57.0%
0 29
29.0%
미검사 6
 
6.0%
.0002 5
 
5.0%
.026 1
 
1.0%
.0008 1
 
1.0%
.0003 1
 
1.0%

Length

2023-12-10T20:29:10.428385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:29:10.692343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 57
57.0%
0 29
29.0%
미검사 6
 
6.0%
0002 5
 
5.0%
026 1
 
1.0%
0008 1
 
1.0%
0003 1
 
1.0%

테트라디크로로에탄(mg/L)
Categorical

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
불검출
62 
0
28 
미검사
7 
.002
 
1
.008
 
1

Length

Max length4
Median length3
Mean length2.46
Min length1

Unique

Unique3 ?
Unique (%)3.0%

Sample

1st row불검출
2nd row0
3rd row0
4th row0
5th row.002

Common Values

ValueCountFrequency (%)
불검출 62
62.0%
0 28
28.0%
미검사 7
 
7.0%
.002 1
 
1.0%
.008 1
 
1.0%
.02 1
 
1.0%

Length

2023-12-10T20:29:10.892264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:29:11.080644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 62
62.0%
0 28
28.0%
미검사 7
 
7.0%
002 1
 
1.0%
008 1
 
1.0%
02 1
 
1.0%

트리클로로에탄(mg/L)
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
불검출
64 
0
28 
미검사
7 
.013
 
1

Length

Max length4
Median length3
Mean length2.45
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 64
64.0%
0 28
28.0%
미검사 7
 
7.0%
.013 1
 
1.0%

Length

2023-12-10T20:29:11.281531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:29:11.514223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 64
64.0%
0 28
28.0%
미검사 7
 
7.0%
013 1
 
1.0%

벤젠(mg/L)
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
불검출
64 
0
29 
미검사
7 

Length

Max length3
Median length3
Mean length2.42
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 64
64.0%
0 29
29.0%
미검사 7
 
7.0%

Length

2023-12-10T20:29:11.696619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:29:11.862437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 64
64.0%
0 29
29.0%
미검사 7
 
7.0%

톨루엔(mg/L)
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
불검출
64 
0
29 
미검사
7 

Length

Max length3
Median length3
Mean length2.42
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 64
64.0%
0 29
29.0%
미검사 7
 
7.0%

Length

2023-12-10T20:29:12.025846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:29:12.160224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 64
64.0%
0 29
29.0%
미검사 7
 
7.0%

에틸벤젠(mg/L)
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
불검출
64 
0
29 
미검사
7 

Length

Max length3
Median length3
Mean length2.42
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 64
64.0%
0 29
29.0%
미검사 7
 
7.0%

Length

2023-12-10T20:29:12.341579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:29:12.499772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 64
64.0%
0 29
29.0%
미검사 7
 
7.0%

Sample

주소법정동코드염소이온(mg/L)대장균군수(mg/L)음용여부명음용여부전기전도도(mg/L)분기년도질산성질소(mg/L)수소이온농도(mg/L)지점명지점코드트리클로로에틸렌(mg/L)용도크실렌(mg/L)일반세균(mg/L)카드뮴(mg/L)비소_값시안(mg/L)수은(mg/L)유기인(mg/L)페놀(mg/L)납(mg/L)6가크롬(mg/L)테트라디크로로에탄(mg/L)트리클로로에탄(mg/L)벤젠(mg/L)톨루엔(mg/L)에틸벤젠(mg/L)
0경주시 배동 ****471301430010.946비음용X269상 반 기2017.28.2한강청UT0103불검출생활불검출0불검출.023불검출불검출불검출불검출불검출.0002불검출불검출불검출불검출불검출
1경기도 양주시 남면 상수리 ***-*41630320274.6390비음용X113상 반 기20172.6056.52한강청OH0202.002음용000.00785불검출0불검출불검출0000000
2경기도 군포시 용호*로 **번길 **41410101003.1410비음용X160상 반 기2017.1127.8한강청OH04030생활000.00582불검출0불검출불검출0000000
3경기도 광주시 송정동 ***416101030044.579비음용X481상 반 기2017.1427.1한강청OH01030생활0000불검출0불검출불검출0000000
4경기도 의왕시 오전동 ***414301050055.1083비음용X547상 반 기20172.4947.2한강청FH1502.001생활0000불검출0불검출불검출00.0020000
5강원도 강릉시 옥천동 ***-*421501090047.912774비음용X481상 반 기20176.03797원주청CW0101불검출생활불검출0불검출.003450716294불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출
6강원도 속초시 노학동 ***-*422101070013.93032비음용X146상 반 기20174.39856.01원주청GW0106불검출생활불검출0불검출.002470672729불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출
7강원도 속초시 설악동 ***-*422101120010.05930비음용X160상 반 기20171.19867.35한강청UW0103불검출생활불검출0불검출.002569251239불검출불검출불검출불검출.0006145905787불검출불검출불검출불검출불검출불검출
8강원도 원주시 우산동 ***-*421301110084.07292비음용X679상 반 기20178.24767.3한강청BW0102.007생활불검출0불검출.001521789027불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출
9강원도 춘천시 후평동 ***-*421101200036.7882829435791682비음용X390상 반 기20174.6514324893605237.21한강청FW1203불검출음용불검출0불검출.0006998879659불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출
주소법정동코드염소이온(mg/L)대장균군수(mg/L)음용여부명음용여부전기전도도(mg/L)분기년도질산성질소(mg/L)수소이온농도(mg/L)지점명지점코드트리클로로에틸렌(mg/L)용도크실렌(mg/L)일반세균(mg/L)카드뮴(mg/L)비소_값시안(mg/L)수은(mg/L)유기인(mg/L)페놀(mg/L)납(mg/L)6가크롬(mg/L)테트라디크로로에탄(mg/L)트리클로로에탄(mg/L)벤젠(mg/L)톨루엔(mg/L)에틸벤젠(mg/L)
90충청남도 공주시 반포면 학봉리 **-**44150340337.20음용O115상 반 기20171.57.7금강청UK0203불검출생활불검출0불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출
91충청남도 예산군 오가면 좌방리 **-**44810400263.8불검출음용O104상 반 기20171.56.7금강청NK0104불검출음용불검출0불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출
92경상남도 양산시 하북면 답곡리 ***48330340248.410비음용X314상 반 기20171.37.3낙동강청GN0201불검출음용불검출0불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출
93경상남도 함안군 가야읍 춘곡리 ***487302502712.34비음용X490상 반 기20172.57.6낙동강청SN0101불검출음용불검출0불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출
94경상남도 함안군 칠서면 태곡리 ***487303502527.9불검출비음용X350상 반 기20172.77.9낙동강청IN0203불검출생활불검출0불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출
95경상북도 상주시 낙동면 구잠리 ***47250330247.9불검출음용O283.1상 반 기20173.0177.4대구청ST0104불검출생활불검출0불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출
96경상북도 청도군 금천면 갈지리 ***478203603476.1불검출음용O430상 반 기20174.3177.6대구청ST0201불검출생활불검출0불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출
97전라북도 군산시 옥서면 옥봉리 ***4513040021105.830비음용X457상 반 기201719.676.8새만금청IC0202불검출음용불검출0불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출
98전라북도 부안군 줄포면 줄포리 ***458004102135.980비음용X250상 반 기201711.5086.7한강청PC0102불검출생활불검출0불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출
99전라북도 장수군 장계면 삼봉리 ***45740335275.1510비음용X74상 반 기20172.88818.2새만금청SK0306불검출음용불검출0불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출