Overview

Dataset statistics

Number of variables23
Number of observations10000
Missing cells52
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 MiB
Average record size in memory206.0 B

Variable types

Numeric12
Categorical5
Text6

Dataset

Description수도법에 따라 1개월에 2회 실시하는 수돗물 공급 취약지역의 먹는물 검사 결과 데이터로, 수질검사결과, 수질검사기관 등을 포함 * 상세자료조회는 아래 URL을 참고 해주시기 바랍니다. https://www.waternow.go.kr/web/lawData/?pMENUID=4&ATTR_1=2001
URLhttps://www.data.go.kr/data/15093988/fileData.do

Alerts

충대장균군 has constant value ""Constant
대장균-분원성대장균군 has constant value ""Constant
일반세균 is highly skewed (γ1 = 24.61620455)Skewed
암모니아성질소 is highly skewed (γ1 = 23.30850442)Skewed
연번 has unique valuesUnique
일반세균 has 9885 (98.9%) zerosZeros
암모니아성질소 has 9934 (99.3%) zerosZeros
동 has 7104 (71.0%) zerosZeros
아연 has 2164 (21.6%) zerosZeros
철 has 9293 (92.9%) zerosZeros
망간 has 9164 (91.6%) zerosZeros
탁도 has 107 (1.1%) zerosZeros

Reproduction

Analysis started2023-12-12 13:18:42.408693
Analysis finished2023-12-12 13:18:43.642834
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30569.662
Minimum2
Maximum61759
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:18:43.714185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2824.45
Q114875.5
median30478
Q346339.75
95-th percentile58606.05
Maximum61759
Range61757
Interquartile range (IQR)31464.25

Descriptive statistics

Standard deviation18020.013
Coefficient of variation (CV)0.58947373
Kurtosis-1.2239894
Mean30569.662
Median Absolute Deviation (MAD)15740
Skewness0.0064044671
Sum3.0569662 × 108
Variance3.2472086 × 108
MonotonicityNot monotonic
2023-12-12T22:18:43.906641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9326 1
 
< 0.1%
22911 1
 
< 0.1%
32083 1
 
< 0.1%
30646 1
 
< 0.1%
54056 1
 
< 0.1%
49186 1
 
< 0.1%
23332 1
 
< 0.1%
60325 1
 
< 0.1%
60843 1
 
< 0.1%
54707 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2 1
< 0.1%
6 1
< 0.1%
12 1
< 0.1%
17 1
< 0.1%
18 1
< 0.1%
23 1
< 0.1%
28 1
< 0.1%
32 1
< 0.1%
36 1
< 0.1%
39 1
< 0.1%
ValueCountFrequency (%)
61759 1
< 0.1%
61754 1
< 0.1%
61750 1
< 0.1%
61740 1
< 0.1%
61738 1
< 0.1%
61728 1
< 0.1%
61722 1
< 0.1%
61719 1
< 0.1%
61717 1
< 0.1%
61713 1
< 0.1%

검사년도
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2021
4167 
2020
3983 
2022
1753 
2019
 
97

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2021 4167
41.7%
2020 3983
39.8%
2022 1753
17.5%
2019 97
 
1.0%

Length

2023-12-12T22:18:44.077918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:18:44.188679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 4167
41.7%
2020 3983
39.8%
2022 1753
17.5%
2019 97
 
1.0%

검사월
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.9955
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:18:44.317239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.5027285
Coefficient of variation (CV)0.58422625
Kurtosis-1.2230654
Mean5.9955
Median Absolute Deviation (MAD)3
Skewness0.24197677
Sum59955
Variance12.269107
MonotonicityNot monotonic
2023-12-12T22:18:44.447082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3 1094
10.9%
4 1047
10.5%
2 1041
10.4%
1 960
9.6%
5 939
9.4%
11 763
7.6%
12 752
7.5%
9 705
7.0%
10 702
7.0%
6 684
6.8%
Other values (2) 1313
13.1%
ValueCountFrequency (%)
1 960
9.6%
2 1041
10.4%
3 1094
10.9%
4 1047
10.5%
5 939
9.4%
6 684
6.8%
7 642
6.4%
8 671
6.7%
9 705
7.0%
10 702
7.0%
ValueCountFrequency (%)
12 752
7.5%
11 763
7.6%
10 702
7.0%
9 705
7.0%
8 671
6.7%
7 642
6.4%
6 684
6.8%
5 939
9.4%
4 1047
10.5%
3 1094
10.9%

검사차수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
5209 
2
4791 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row2
4th row2
5th row1

Common Values

ValueCountFrequency (%)
1 5209
52.1%
2 4791
47.9%

Length

2023-12-12T22:18:44.563076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:18:44.664179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5209
52.1%
2 4791
47.9%

지역
Text

Distinct150
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T22:18:45.037212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.4528
Min length5

Characters and Unicode

Total characters74528
Distinct characters121
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row경상북도 경주시
2nd row충청북도 괴산군
3rd row경기도 안양시
4th row경기도 양주시
5th row경상남도 거제시
ValueCountFrequency (%)
경기도 2784
 
14.6%
전라남도 1284
 
6.7%
경상남도 1273
 
6.7%
경상북도 1259
 
6.6%
충청북도 878
 
4.6%
충청남도 682
 
3.6%
강원도 575
 
3.0%
서울특별시 388
 
2.0%
전라북도 337
 
1.8%
광주시 335
 
1.8%
Other values (147) 9277
48.6%
2023-12-12T22:18:45.592802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 9228
 
12.4%
9072
 
12.2%
시 6568
 
8.8%
경 5417
 
7.3%
남 3740
 
5.0%
군 3657
 
4.9%
기 2784
 
3.7%
상 2583
 
3.5%
북 2474
 
3.3%
청 1718
 
2.3%
Other values (111) 27287
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65456
87.8%
Space Separator 9072
 
12.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 9228
 
14.1%
시 6568
 
10.0%
경 5417
 
8.3%
남 3740
 
5.7%
군 3657
 
5.6%
기 2784
 
4.3%
상 2583
 
3.9%
북 2474
 
3.8%
청 1718
 
2.6%
천 1683
 
2.6%
Other values (110) 25604
39.1%
Space Separator
ValueCountFrequency (%)
9072
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 65456
87.8%
Common 9072
 
12.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 9228
 
14.1%
시 6568
 
10.0%
경 5417
 
8.3%
남 3740
 
5.7%
군 3657
 
5.6%
기 2784
 
4.3%
상 2583
 
3.9%
북 2474
 
3.8%
청 1718
 
2.6%
천 1683
 
2.6%
Other values (110) 25604
39.1%
Common
ValueCountFrequency (%)
9072
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 65456
87.8%
ASCII 9072
 
12.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 9228
 
14.1%
시 6568
 
10.0%
경 5417
 
8.3%
남 3740
 
5.7%
군 3657
 
5.6%
기 2784
 
4.3%
상 2583
 
3.9%
북 2474
 
3.8%
청 1718
 
2.6%
천 1683
 
2.6%
Other values (110) 25604
39.1%
ASCII
ValueCountFrequency (%)
9072
100.0%

공급정수장
Text

Distinct200
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T22:18:46.017381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length2
Mean length2.4469
Min length2

Characters and Unicode

Total characters24469
Distinct characters155
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

1st row감포
2nd row충주
3rd row청계통합
4th row덕소
5th row사천
ValueCountFrequency (%)
충주 481
 
4.8%
광주3 335
 
3.3%
수지 282
 
2.8%
화순 277
 
2.8%
덕소 276
 
2.7%
까치울 258
 
2.6%
청주(생활 242
 
2.4%
보령 208
 
2.1%
사천 200
 
2.0%
군포 179
 
1.8%
Other values (191) 7308
72.7%
2023-12-12T22:18:46.592616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1312
 
5.4%
천 775
 
3.2%
성 642
 
2.6%
덕 613
 
2.5%
산 596
 
2.4%
생 533
 
2.2%
지 519
 
2.1%
동 514
 
2.1%
( 507
 
2.1%
) 507
 
2.1%
Other values (145) 17951
73.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22328
91.3%
Decimal Number 913
 
3.7%
Open Punctuation 507
 
2.1%
Close Punctuation 507
 
2.1%
Math Symbol 142
 
0.6%
Space Separator 46
 
0.2%
Other Punctuation 26
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1312
 
5.9%
천 775
 
3.5%
성 642
 
2.9%
덕 613
 
2.7%
산 596
 
2.7%
생 533
 
2.4%
지 519
 
2.3%
동 514
 
2.3%
활 507
 
2.3%
충 481
 
2.2%
Other values (137) 15836
70.9%
Decimal Number
ValueCountFrequency (%)
3 484
53.0%
1 254
27.8%
2 175
 
19.2%
Open Punctuation
ValueCountFrequency (%)
( 507
100.0%
Close Punctuation
ValueCountFrequency (%)
) 507
100.0%
Math Symbol
ValueCountFrequency (%)
+ 142
100.0%
Space Separator
ValueCountFrequency (%)
46
100.0%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22328
91.3%
Common 2141
 
8.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1312
 
5.9%
천 775
 
3.5%
성 642
 
2.9%
덕 613
 
2.7%
산 596
 
2.7%
생 533
 
2.4%
지 519
 
2.3%
동 514
 
2.3%
활 507
 
2.3%
충 481
 
2.2%
Other values (137) 15836
70.9%
Common
ValueCountFrequency (%)
( 507
23.7%
) 507
23.7%
3 484
22.6%
1 254
11.9%
2 175
 
8.2%
+ 142
 
6.6%
46
 
2.1%
, 26
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22328
91.3%
ASCII 2141
 
8.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1312
 
5.9%
천 775
 
3.5%
성 642
 
2.9%
덕 613
 
2.7%
산 596
 
2.7%
생 533
 
2.4%
지 519
 
2.3%
동 514
 
2.3%
활 507
 
2.3%
충 481
 
2.2%
Other values (137) 15836
70.9%
ASCII
ValueCountFrequency (%)
( 507
23.7%
) 507
23.7%
3 484
22.6%
1 254
11.9%
2 175
 
8.2%
+ 142
 
6.6%
46
 
2.1%
, 26
 
1.2%

중점관리지역명
Text

Distinct526
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T22:18:46.929066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length3.929
Min length1

Characters and Unicode

Total characters39290
Distinct characters213
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)0.1%

Sample

1st row감포(정) 급수구역
2nd row괴산5
3rd row안양동
4th row광사동
5th row신현
ValueCountFrequency (%)
진천 232
 
2.2%
중부급수구역 187
 
1.8%
광남동 176
 
1.7%
송배수관로 122
 
1.1%
sf70 120
 
1.1%
k12 104
 
1.0%
군포 100
 
0.9%
저지대 100
 
0.9%
k7 90
 
0.8%
보성급수구역 90
 
0.8%
Other values (536) 9308
87.6%
2023-12-12T22:18:47.431177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2391
 
6.1%
2 1841
 
4.7%
동 1417
 
3.6%
- 1306
 
3.3%
수 947
 
2.4%
S 913
 
2.3%
3 883
 
2.2%
0 856
 
2.2%
남 805
 
2.0%
부 783
 
2.0%
Other values (203) 27148
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23493
59.8%
Decimal Number 8059
 
20.5%
Uppercase Letter 5027
 
12.8%
Dash Punctuation 1306
 
3.3%
Space Separator 629
 
1.6%
Open Punctuation 332
 
0.8%
Close Punctuation 332
 
0.8%
Other Punctuation 69
 
0.2%
Math Symbol 43
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1417
 
6.0%
수 947
 
4.0%
남 805
 
3.4%
부 783
 
3.3%
면 572
 
2.4%
도 549
 
2.3%
산 532
 
2.3%
성 511
 
2.2%
진 498
 
2.1%
사 460
 
2.0%
Other values (167) 16419
69.9%
Uppercase Letter
ValueCountFrequency (%)
S 913
18.2%
B 591
11.8%
J 434
 
8.6%
K 374
 
7.4%
Y 367
 
7.3%
G 338
 
6.7%
D 263
 
5.2%
C 220
 
4.4%
M 201
 
4.0%
A 198
 
3.9%
Other values (10) 1128
22.4%
Decimal Number
ValueCountFrequency (%)
1 2391
29.7%
2 1841
22.8%
3 883
 
11.0%
0 856
 
10.6%
4 660
 
8.2%
7 479
 
5.9%
5 435
 
5.4%
6 232
 
2.9%
8 216
 
2.7%
9 66
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 1306
100.0%
Space Separator
ValueCountFrequency (%)
629
100.0%
Open Punctuation
ValueCountFrequency (%)
( 332
100.0%
Close Punctuation
ValueCountFrequency (%)
) 332
100.0%
Other Punctuation
ValueCountFrequency (%)
. 69
100.0%
Math Symbol
ValueCountFrequency (%)
~ 43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23493
59.8%
Common 10770
27.4%
Latin 5027
 
12.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1417
 
6.0%
수 947
 
4.0%
남 805
 
3.4%
부 783
 
3.3%
면 572
 
2.4%
도 549
 
2.3%
산 532
 
2.3%
성 511
 
2.2%
진 498
 
2.1%
사 460
 
2.0%
Other values (167) 16419
69.9%
Latin
ValueCountFrequency (%)
S 913
18.2%
B 591
11.8%
J 434
 
8.6%
K 374
 
7.4%
Y 367
 
7.3%
G 338
 
6.7%
D 263
 
5.2%
C 220
 
4.4%
M 201
 
4.0%
A 198
 
3.9%
Other values (10) 1128
22.4%
Common
ValueCountFrequency (%)
1 2391
22.2%
2 1841
17.1%
- 1306
12.1%
3 883
 
8.2%
0 856
 
7.9%
4 660
 
6.1%
629
 
5.8%
7 479
 
4.4%
5 435
 
4.0%
( 332
 
3.1%
Other values (6) 958
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23493
59.8%
ASCII 15797
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2391
15.1%
2 1841
 
11.7%
- 1306
 
8.3%
S 913
 
5.8%
3 883
 
5.6%
0 856
 
5.4%
4 660
 
4.2%
629
 
4.0%
B 591
 
3.7%
7 479
 
3.0%
Other values (26) 5248
33.2%
Hangul
ValueCountFrequency (%)
동 1417
 
6.0%
수 947
 
4.0%
남 805
 
3.4%
부 783
 
3.3%
면 572
 
2.4%
도 549
 
2.3%
산 532
 
2.3%
성 511
 
2.2%
진 498
 
2.1%
사 460
 
2.0%
Other values (167) 16419
69.9%

급수인구
Real number (ℝ)

Distinct873
Distinct (%)8.7%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean12685.543
Minimum8
Maximum234214
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:18:47.601835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile288
Q12271
median4844
Q310606
95-th percentile54492
Maximum234214
Range234206
Interquartile range (IQR)8335

Descriptive statistics

Standard deviation24451.558
Coefficient of variation (CV)1.9275138
Kurtosis25.365752
Mean12685.543
Median Absolute Deviation (MAD)3248
Skewness4.4376677
Sum1.2684274 × 108
Variance5.9787871 × 108
MonotonicityNot monotonic
2023-12-12T22:18:47.730919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27246 164
 
1.6%
52740 143
 
1.4%
41426 108
 
1.1%
11586 89
 
0.9%
117107 84
 
0.8%
10606 71
 
0.7%
82852 68
 
0.7%
54492 68
 
0.7%
67509 66
 
0.7%
7220 64
 
0.6%
Other values (863) 9074
90.7%
ValueCountFrequency (%)
8 3
 
< 0.1%
12 4
 
< 0.1%
16 4
 
< 0.1%
20 9
 
0.1%
22 4
 
< 0.1%
24 48
0.5%
34 3
 
< 0.1%
39 7
 
0.1%
41 8
 
0.1%
44 14
 
0.1%
ValueCountFrequency (%)
234214 16
 
0.2%
211624 14
 
0.1%
185994 4
 
< 0.1%
178636 10
 
0.1%
170770 8
 
0.1%
135018 13
 
0.1%
131930 4
 
< 0.1%
117107 84
0.8%
111880 4
 
< 0.1%
105812 21
 
0.2%

읍면동
Text

Distinct634
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T22:18:48.096861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length12.0718
Min length5

Characters and Unicode

Total characters120718
Distinct characters234
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

Unique53 ?
Unique (%)0.5%

Sample

1st row경상북도 경주시 감포읍 감포리
2nd row충청북도 괴산군
3rd row경기도 안양시 만안구 안양동
4th row경기도 양주시
5th row경상남도 거제시 장평동
ValueCountFrequency (%)
경기도 2784
 
9.1%
전라남도 1284
 
4.2%
경상남도 1273
 
4.1%
경상북도 1259
 
4.1%
충청북도 878
 
2.9%
충청남도 682
 
2.2%
강원도 575
 
1.9%
서울특별시 388
 
1.3%
전라북도 337
 
1.1%
광주시 335
 
1.1%
Other values (849) 20931
68.1%
2023-12-12T22:18:48.640084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20726
 
17.2%
도 9487
 
7.9%
시 6568
 
5.4%
경 5481
 
4.5%
남 4648
 
3.9%
동 4345
 
3.6%
군 3765
 
3.1%
리 2908
 
2.4%
기 2818
 
2.3%
상 2748
 
2.3%
Other values (224) 57224
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 99986
82.8%
Space Separator 20726
 
17.2%
Decimal Number 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 9487
 
9.5%
시 6568
 
6.6%
경 5481
 
5.5%
남 4648
 
4.6%
동 4345
 
4.3%
군 3765
 
3.8%
리 2908
 
2.9%
기 2818
 
2.8%
상 2748
 
2.7%
북 2573
 
2.6%
Other values (221) 54645
54.7%
Decimal Number
ValueCountFrequency (%)
1 5
83.3%
3 1
 
16.7%
Space Separator
ValueCountFrequency (%)
20726
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 99986
82.8%
Common 20732
 
17.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 9487
 
9.5%
시 6568
 
6.6%
경 5481
 
5.5%
남 4648
 
4.6%
동 4345
 
4.3%
군 3765
 
3.8%
리 2908
 
2.9%
기 2818
 
2.8%
상 2748
 
2.7%
북 2573
 
2.6%
Other values (221) 54645
54.7%
Common
ValueCountFrequency (%)
20726
> 99.9%
1 5
 
< 0.1%
3 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 99986
82.8%
ASCII 20732
 
17.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20726
> 99.9%
1 5
 
< 0.1%
3 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
도 9487
 
9.5%
시 6568
 
6.6%
경 5481
 
5.5%
남 4648
 
4.6%
동 4345
 
4.3%
군 3765
 
3.8%
리 2908
 
2.9%
기 2818
 
2.8%
상 2748
 
2.7%
북 2573
 
2.6%
Other values (221) 54645
54.7%

상세주소
Text

Distinct2220
Distinct (%)22.3%
Missing51
Missing (%)0.5%
Memory size156.2 KiB
2023-12-12T22:18:48.969928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length31
Mean length9.5101015
Min length1

Characters and Unicode

Total characters94616
Distinct characters490
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique738 ?
Unique (%)7.4%

Sample

1st row동해안로 2233
2nd row충청북도 괴산군 괴산읍 읍내로6길 39-1 (마을회관)
3rd row만안구 장내로 76
4th row부흥로 1878번길 109-12
5th row장평2로4길 11
ValueCountFrequency (%)
마을회관 244
 
1.3%
경기도 128
 
0.7%
화성시 126
 
0.7%
충청북도 103
 
0.5%
괴산군 103
 
0.5%
의정부동 81
 
0.4%
11 80
 
0.4%
8 80
 
0.4%
만안구 78
 
0.4%
6 76
 
0.4%
Other values (2756) 18227
94.3%
2023-12-12T22:18:49.493749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9874
 
10.4%
1 6066
 
6.4%
2 4095
 
4.3%
로 3703
 
3.9%
- 3130
 
3.3%
3 2898
 
3.1%
길 2842
 
3.0%
4 2593
 
2.7%
5 2480
 
2.6%
7 2104
 
2.2%
Other values (480) 54831
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 51416
54.3%
Decimal Number 27810
29.4%
Space Separator 9874
 
10.4%
Dash Punctuation 3130
 
3.3%
Open Punctuation 948
 
1.0%
Close Punctuation 947
 
1.0%
Uppercase Letter 226
 
0.2%
Math Symbol 119
 
0.1%
Other Punctuation 111
 
0.1%
Lowercase Letter 34
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 3703
 
7.2%
길 2842
 
5.5%
동 1689
 
3.3%
리 1229
 
2.4%
산 904
 
1.8%
번 889
 
1.7%
관 877
 
1.7%
마 794
 
1.5%
회 723
 
1.4%
지 723
 
1.4%
Other values (437) 37043
72.0%
Uppercase Letter
ValueCountFrequency (%)
S 69
30.5%
G 46
20.4%
K 27
 
11.9%
A 18
 
8.0%
U 16
 
7.1%
C 16
 
7.1%
T 10
 
4.4%
D 10
 
4.4%
J 7
 
3.1%
L 4
 
1.8%
Other values (3) 3
 
1.3%
Decimal Number
ValueCountFrequency (%)
1 6066
21.8%
2 4095
14.7%
3 2898
10.4%
4 2593
9.3%
5 2480
8.9%
7 2104
 
7.6%
6 2027
 
7.3%
0 1907
 
6.9%
9 1845
 
6.6%
8 1795
 
6.5%
Lowercase Letter
ValueCountFrequency (%)
a 7
20.6%
e 7
20.6%
k 5
14.7%
n 4
11.8%
h 3
8.8%
r 3
8.8%
i 3
8.8%
c 1
 
2.9%
u 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
/ 66
59.5%
, 27
24.3%
. 18
 
16.2%
Open Punctuation
ValueCountFrequency (%)
( 904
95.4%
[ 44
 
4.6%
Close Punctuation
ValueCountFrequency (%)
) 904
95.5%
] 43
 
4.5%
Space Separator
ValueCountFrequency (%)
9874
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3130
100.0%
Math Symbol
ValueCountFrequency (%)
~ 119
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 51416
54.3%
Common 42939
45.4%
Latin 261
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 3703
 
7.2%
길 2842
 
5.5%
동 1689
 
3.3%
리 1229
 
2.4%
산 904
 
1.8%
번 889
 
1.7%
관 877
 
1.7%
마 794
 
1.5%
회 723
 
1.4%
지 723
 
1.4%
Other values (437) 37043
72.0%
Latin
ValueCountFrequency (%)
S 69
26.4%
G 46
17.6%
K 27
 
10.3%
A 18
 
6.9%
U 16
 
6.1%
C 16
 
6.1%
T 10
 
3.8%
D 10
 
3.8%
J 7
 
2.7%
a 7
 
2.7%
Other values (13) 35
13.4%
Common
ValueCountFrequency (%)
9874
23.0%
1 6066
14.1%
2 4095
9.5%
- 3130
 
7.3%
3 2898
 
6.7%
4 2593
 
6.0%
5 2480
 
5.8%
7 2104
 
4.9%
6 2027
 
4.7%
0 1907
 
4.4%
Other values (10) 5765
13.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 51415
54.3%
ASCII 43199
45.7%
Number Forms 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9874
22.9%
1 6066
14.0%
2 4095
9.5%
- 3130
 
7.2%
3 2898
 
6.7%
4 2593
 
6.0%
5 2480
 
5.7%
7 2104
 
4.9%
6 2027
 
4.7%
0 1907
 
4.4%
Other values (32) 6025
13.9%
Hangul
ValueCountFrequency (%)
로 3703
 
7.2%
길 2842
 
5.5%
동 1689
 
3.3%
리 1229
 
2.4%
산 904
 
1.8%
번 889
 
1.7%
관 877
 
1.7%
마 794
 
1.5%
회 723
 
1.4%
지 723
 
1.4%
Other values (436) 37042
72.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
100.0%

급수방식
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
직결급수
7477 
<NA>
1393 
저수조식급수
1130 

Length

Max length6
Median length4
Mean length4.226
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
직결급수 7477
74.8%
<NA> 1393
 
13.9%
저수조식급수 1130
 
11.3%

Length

2023-12-12T22:18:49.638036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:18:49.756033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
직결급수 7477
74.8%
na 1393
 
13.9%
저수조식급수 1130
 
11.3%

수질검사기관
Text

Distinct84
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T22:18:49.962188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length10.0534
Min length2

Characters and Unicode

Total characters100534
Distinct characters139
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row자체수질검사
2nd row맑은환경시험연구원
3rd row자체수질검사
4th row(주)다솔물환경연구소
5th row한국수자원공사 부산울산경남지역협력본부
ValueCountFrequency (%)
자체수질검사 1655
 
12.2%
한국수자원공사 1094
 
8.1%
제일랩(대구 533
 
3.9%
서울시 388
 
2.9%
부산울산경남지역협력본부 378
 
2.8%
주)맑은물분석연구원 361
 
2.7%
이산 352
 
2.6%
친환경연구원 352
 
2.6%
주)동우환경기술연구원 352
 
2.6%
영섬유역본부 329
 
2.4%
Other values (95) 7732
57.2%
2023-12-12T22:18:50.316784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 5233
 
5.2%
수 4857
 
4.8%
원 4011
 
4.0%
구 3591
 
3.6%
3526
 
3.5%
주 3113
 
3.1%
( 3071
 
3.1%
) 3071
 
3.1%
경 3011
 
3.0%
연 2923
 
2.9%
Other values (129) 64127
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 88729
88.3%
Space Separator 3526
 
3.5%
Open Punctuation 3071
 
3.1%
Close Punctuation 3071
 
3.1%
Uppercase Letter 1430
 
1.4%
Dash Punctuation 562
 
0.6%
Other Punctuation 145
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 5233
 
5.9%
수 4857
 
5.5%
원 4011
 
4.5%
구 3591
 
4.0%
주 3113
 
3.5%
경 3011
 
3.4%
연 2923
 
3.3%
시 2817
 
3.2%
자 2749
 
3.1%
부 2505
 
2.8%
Other values (118) 53919
60.8%
Uppercase Letter
ValueCountFrequency (%)
T 374
26.2%
I 374
26.2%
O 187
13.1%
K 187
13.1%
E 154
10.8%
M 154
10.8%
Space Separator
ValueCountFrequency (%)
3526
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3071
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3071
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 562
100.0%
Other Punctuation
ValueCountFrequency (%)
. 145
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 88729
88.3%
Common 10375
 
10.3%
Latin 1430
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 5233
 
5.9%
수 4857
 
5.5%
원 4011
 
4.5%
구 3591
 
4.0%
주 3113
 
3.5%
경 3011
 
3.4%
연 2923
 
3.3%
시 2817
 
3.2%
자 2749
 
3.1%
부 2505
 
2.8%
Other values (118) 53919
60.8%
Latin
ValueCountFrequency (%)
T 374
26.2%
I 374
26.2%
O 187
13.1%
K 187
13.1%
E 154
10.8%
M 154
10.8%
Common
ValueCountFrequency (%)
3526
34.0%
( 3071
29.6%
) 3071
29.6%
- 562
 
5.4%
. 145
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 88729
88.3%
ASCII 11805
 
11.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 5233
 
5.9%
수 4857
 
5.5%
원 4011
 
4.5%
구 3591
 
4.0%
주 3113
 
3.5%
경 3011
 
3.4%
연 2923
 
3.3%
시 2817
 
3.2%
자 2749
 
3.1%
부 2505
 
2.8%
Other values (118) 53919
60.8%
ASCII
ValueCountFrequency (%)
3526
29.9%
( 3071
26.0%
) 3071
26.0%
- 562
 
4.8%
T 374
 
3.2%
I 374
 
3.2%
O 187
 
1.6%
K 187
 
1.6%
E 154
 
1.3%
M 154
 
1.3%

일반세균
Real number (ℝ)

SKEWED  ZEROS 

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1568
Minimum0
Maximum92
Zeros9885
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:18:50.454730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum92
Range92
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.0202195
Coefficient of variation (CV)19.261604
Kurtosis646.16025
Mean0.1568
Median Absolute Deviation (MAD)0
Skewness24.616205
Sum1568
Variance9.1217259
MonotonicityNot monotonic
2023-12-12T22:18:50.571760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 9885
98.9%
1 41
 
0.4%
2 23
 
0.2%
3 10
 
0.1%
4 6
 
0.1%
20 3
 
< 0.1%
6 3
 
< 0.1%
29 2
 
< 0.1%
87 2
 
< 0.1%
5 2
 
< 0.1%
Other values (21) 23
 
0.2%
ValueCountFrequency (%)
0 9885
98.9%
1 41
 
0.4%
2 23
 
0.2%
3 10
 
0.1%
4 6
 
0.1%
5 2
 
< 0.1%
6 3
 
< 0.1%
7 1
 
< 0.1%
12 1
 
< 0.1%
13 1
 
< 0.1%
ValueCountFrequency (%)
92 1
< 0.1%
91 2
< 0.1%
87 2
< 0.1%
84 1
< 0.1%
79 1
< 0.1%
74 1
< 0.1%
72 1
< 0.1%
68 1
< 0.1%
62 1
< 0.1%
60 1
< 0.1%

충대장균군
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
불검출
10000 

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 10000
100.0%

Length

2023-12-12T22:18:50.712092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:18:50.809584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 10000
100.0%

암모니아성질소
Real number (ℝ)

SKEWED  ZEROS 

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.000233
Minimum0
Maximum0.13
Zeros9934
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:18:50.920285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.13
Range0.13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0039745806
Coefficient of variation (CV)17.058286
Kurtosis621.20492
Mean0.000233
Median Absolute Deviation (MAD)0
Skewness23.308504
Sum2.33
Variance1.5797291 × 10-5
MonotonicityNot monotonic
2023-12-12T22:18:51.093992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 9934
99.3%
0.01 27
 
0.3%
0.02 13
 
0.1%
0.06 5
 
0.1%
0.04 4
 
< 0.1%
0.05 3
 
< 0.1%
0.03 3
 
< 0.1%
0.13 3
 
< 0.1%
0.09 2
 
< 0.1%
0.07 2
 
< 0.1%
Other values (3) 4
 
< 0.1%
ValueCountFrequency (%)
0.0 9934
99.3%
0.01 27
 
0.3%
0.02 13
 
0.1%
0.03 3
 
< 0.1%
0.04 4
 
< 0.1%
0.05 3
 
< 0.1%
0.06 5
 
0.1%
0.07 2
 
< 0.1%
0.08 2
 
< 0.1%
0.09 2
 
< 0.1%
ValueCountFrequency (%)
0.13 3
< 0.1%
0.12 1
 
< 0.1%
0.11 1
 
< 0.1%
0.09 2
 
< 0.1%
0.08 2
 
< 0.1%
0.07 2
 
< 0.1%
0.06 5
0.1%
0.05 3
< 0.1%
0.04 4
< 0.1%
0.03 3
< 0.1%

동
Real number (ℝ)

ZEROS 

Distinct141
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0058054
Minimum0
Maximum0.756
Zeros7104
Zeros (%)71.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:18:51.232669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.005
95-th percentile0.02605
Maximum0.756
Range0.756
Interquartile range (IQR)0.005

Descriptive statistics

Standard deviation0.021052065
Coefficient of variation (CV)3.6262902
Kurtosis402.88612
Mean0.0058054
Median Absolute Deviation (MAD)0
Skewness15.248321
Sum58.054
Variance0.00044318945
MonotonicityNot monotonic
2023-12-12T22:18:51.432843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7104
71.0%
0.01 299
 
3.0%
0.005 201
 
2.0%
0.02 193
 
1.9%
0.004 193
 
1.9%
0.008 176
 
1.8%
0.006 166
 
1.7%
0.009 160
 
1.6%
0.007 127
 
1.3%
0.012 112
 
1.1%
Other values (131) 1269
 
12.7%
ValueCountFrequency (%)
0.0 7104
71.0%
0.001 23
 
0.2%
0.002 25
 
0.2%
0.003 28
 
0.3%
0.004 193
 
1.9%
0.005 201
 
2.0%
0.006 166
 
1.7%
0.007 127
 
1.3%
0.008 176
 
1.8%
0.009 160
 
1.6%
ValueCountFrequency (%)
0.756 1
< 0.1%
0.753 1
< 0.1%
0.512 1
< 0.1%
0.349 1
< 0.1%
0.313 1
< 0.1%
0.309 2
< 0.1%
0.297 1
< 0.1%
0.28 1
< 0.1%
0.279 2
< 0.1%
0.278 1
< 0.1%

아연
Real number (ℝ)

ZEROS 

Distinct256
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0181424
Minimum0
Maximum1.728
Zeros2164
Zeros (%)21.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:18:51.631214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.002
median0.006
Q30.016
95-th percentile0.068
Maximum1.728
Range1.728
Interquartile range (IQR)0.014

Descriptive statistics

Standard deviation0.053733037
Coefficient of variation (CV)2.9617381
Kurtosis280.97889
Mean0.0181424
Median Absolute Deviation (MAD)0.006
Skewness13.428209
Sum181.424
Variance0.0028872392
MonotonicityNot monotonic
2023-12-12T22:18:51.805238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2164
21.6%
0.003 695
 
7.0%
0.004 621
 
6.2%
0.006 516
 
5.2%
0.002 501
 
5.0%
0.005 497
 
5.0%
0.01 407
 
4.1%
0.007 402
 
4.0%
0.008 382
 
3.8%
0.009 288
 
2.9%
Other values (246) 3527
35.3%
ValueCountFrequency (%)
0.0 2164
21.6%
0.001 9
 
0.1%
0.002 501
 
5.0%
0.003 695
 
7.0%
0.004 621
 
6.2%
0.005 497
 
5.0%
0.006 516
 
5.2%
0.007 402
 
4.0%
0.008 382
 
3.8%
0.009 288
 
2.9%
ValueCountFrequency (%)
1.728 1
< 0.1%
1.565 1
< 0.1%
1.119 1
< 0.1%
1.097 1
< 0.1%
1.039 1
< 0.1%
1.008 1
< 0.1%
0.952 1
< 0.1%
0.912 1
< 0.1%
0.859 1
< 0.1%
0.858 1
< 0.1%

염소이온
Real number (ℝ)

Distinct527
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.23608
Minimum0
Maximum123.3
Zeros40
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:18:51.976606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.2
Q19.6
median14.2
Q320.8
95-th percentile30.8
Maximum123.3
Range123.3
Interquartile range (IQR)11.2

Descriptive statistics

Standard deviation9.7779761
Coefficient of variation (CV)0.60223749
Kurtosis14.855612
Mean16.23608
Median Absolute Deviation (MAD)5.3
Skewness2.7641875
Sum162360.8
Variance95.608817
MonotonicityNot monotonic
2023-12-12T22:18:52.133461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.8 83
 
0.8%
9.0 83
 
0.8%
8.9 81
 
0.8%
9.8 79
 
0.8%
10.3 78
 
0.8%
8.3 77
 
0.8%
9.6 76
 
0.8%
8.4 75
 
0.8%
12.8 75
 
0.8%
8.0 74
 
0.7%
Other values (517) 9219
92.2%
ValueCountFrequency (%)
0.0 40
0.4%
0.2 1
 
< 0.1%
0.3 1
 
< 0.1%
0.5 1
 
< 0.1%
1.0 1
 
< 0.1%
1.2 2
 
< 0.1%
1.4 1
 
< 0.1%
2.0 1
 
< 0.1%
2.1 1
 
< 0.1%
2.4 5
 
0.1%
ValueCountFrequency (%)
123.3 1
< 0.1%
110.4 1
< 0.1%
106.0 1
< 0.1%
104.0 1
< 0.1%
99.6 1
< 0.1%
98.7 1
< 0.1%
98.0 2
< 0.1%
92.0 1
< 0.1%
91.5 1
< 0.1%
91.0 2
< 0.1%

철
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004102
Minimum0
Maximum0.3
Zeros9293
Zeros (%)92.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:18:52.590875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.02
Maximum0.3
Range0.3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.019269425
Coefficient of variation (CV)4.6975682
Kurtosis53.199979
Mean0.004102
Median Absolute Deviation (MAD)0
Skewness6.3939855
Sum41.02
Variance0.00037131073
MonotonicityNot monotonic
2023-12-12T22:18:52.729616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.0 9293
92.9%
0.01 159
 
1.6%
0.06 88
 
0.9%
0.02 79
 
0.8%
0.07 70
 
0.7%
0.05 64
 
0.6%
0.08 45
 
0.4%
0.1 37
 
0.4%
0.09 36
 
0.4%
0.03 34
 
0.3%
Other values (16) 95
 
0.9%
ValueCountFrequency (%)
0.0 9293
92.9%
0.01 159
 
1.6%
0.02 79
 
0.8%
0.03 34
 
0.3%
0.04 10
 
0.1%
0.05 64
 
0.6%
0.06 88
 
0.9%
0.07 70
 
0.7%
0.08 45
 
0.4%
0.09 36
 
0.4%
ValueCountFrequency (%)
0.3 3
< 0.1%
0.29 1
 
< 0.1%
0.25 1
 
< 0.1%
0.24 1
 
< 0.1%
0.22 1
 
< 0.1%
0.2 2
 
< 0.1%
0.19 3
< 0.1%
0.18 4
< 0.1%
0.17 5
0.1%
0.16 4
< 0.1%

망간
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0007271
Minimum0
Maximum0.05
Zeros9164
Zeros (%)91.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:18:52.858957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.006
Maximum0.05
Range0.05
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0031991951
Coefficient of variation (CV)4.3999382
Kurtosis65.40212
Mean0.0007271
Median Absolute Deviation (MAD)0
Skewness6.9388474
Sum7.271
Variance1.0234849 × 10-5
MonotonicityNot monotonic
2023-12-12T22:18:53.027501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0.0 9164
91.6%
0.005 94
 
0.9%
0.009 87
 
0.9%
0.008 86
 
0.9%
0.001 85
 
0.9%
0.004 78
 
0.8%
0.01 69
 
0.7%
0.006 57
 
0.6%
0.007 54
 
0.5%
0.011 28
 
0.3%
Other values (30) 198
 
2.0%
ValueCountFrequency (%)
0.0 9164
91.6%
0.001 85
 
0.9%
0.002 25
 
0.2%
0.003 22
 
0.2%
0.004 78
 
0.8%
0.005 94
 
0.9%
0.006 57
 
0.6%
0.007 54
 
0.5%
0.008 86
 
0.9%
0.009 87
 
0.9%
ValueCountFrequency (%)
0.05 3
< 0.1%
0.047 2
< 0.1%
0.041 1
 
< 0.1%
0.04 2
< 0.1%
0.039 2
< 0.1%
0.036 2
< 0.1%
0.035 3
< 0.1%
0.034 2
< 0.1%
0.033 3
< 0.1%
0.032 1
 
< 0.1%

잔류염소
Real number (ℝ)

Distinct136
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.450931
Minimum0
Maximum1.81
Zeros24
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:18:53.208292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.14
Q10.3
median0.42
Q30.59
95-th percentile0.82
Maximum1.81
Range1.81
Interquartile range (IQR)0.29

Descriptive statistics

Standard deviation0.21133483
Coefficient of variation (CV)0.46866334
Kurtosis1.0308404
Mean0.450931
Median Absolute Deviation (MAD)0.14
Skewness0.70842428
Sum4509.31
Variance0.044662409
MonotonicityNot monotonic
2023-12-12T22:18:53.376655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3 282
 
2.8%
0.4 263
 
2.6%
0.32 217
 
2.2%
0.41 215
 
2.1%
0.31 213
 
2.1%
0.35 208
 
2.1%
0.38 202
 
2.0%
0.45 198
 
2.0%
0.2 193
 
1.9%
0.42 190
 
1.9%
Other values (126) 7819
78.2%
ValueCountFrequency (%)
0.0 24
 
0.2%
0.03 1
 
< 0.1%
0.05 2
 
< 0.1%
0.07 3
 
< 0.1%
0.08 6
 
0.1%
0.09 1
 
< 0.1%
0.1 109
1.1%
0.11 105
1.1%
0.12 111
1.1%
0.13 85
0.9%
ValueCountFrequency (%)
1.81 1
< 0.1%
1.76 1
< 0.1%
1.7 1
< 0.1%
1.69 1
< 0.1%
1.63 1
< 0.1%
1.56 1
< 0.1%
1.5 2
< 0.1%
1.43 1
< 0.1%
1.4 2
< 0.1%
1.35 1
< 0.1%

대장균-분원성대장균군
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
불검출
10000 

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 10000
100.0%

Length

2023-12-12T22:18:53.517887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:18:53.613373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 10000
100.0%

탁도
Real number (ℝ)

ZEROS 

Distinct51
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.111124
Minimum0
Maximum0.5
Zeros107
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:18:53.741596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.03
Q10.06
median0.09
Q30.14
95-th percentile0.26
Maximum0.5
Range0.5
Interquartile range (IQR)0.08

Descriptive statistics

Standard deviation0.075185517
Coefficient of variation (CV)0.67659117
Kurtosis4.8561917
Mean0.111124
Median Absolute Deviation (MAD)0.03
Skewness1.9023798
Sum1111.24
Variance0.0056528619
MonotonicityNot monotonic
2023-12-12T22:18:53.891644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.07 975
 
9.8%
0.06 974
 
9.7%
0.08 892
 
8.9%
0.09 780
 
7.8%
0.1 691
 
6.9%
0.05 622
 
6.2%
0.11 576
 
5.8%
0.12 489
 
4.9%
0.13 398
 
4.0%
0.04 347
 
3.5%
Other values (41) 3256
32.6%
ValueCountFrequency (%)
0.0 107
 
1.1%
0.01 29
 
0.3%
0.02 333
 
3.3%
0.03 211
 
2.1%
0.04 347
 
3.5%
0.05 622
6.2%
0.06 974
9.7%
0.07 975
9.8%
0.08 892
8.9%
0.09 780
7.8%
ValueCountFrequency (%)
0.5 2
 
< 0.1%
0.49 5
 
0.1%
0.48 13
0.1%
0.47 11
0.1%
0.46 12
0.1%
0.45 13
0.1%
0.44 11
0.1%
0.43 14
0.1%
0.42 13
0.1%
0.41 17
0.2%

Sample

연번검사년도검사월검사차수지역공급정수장중점관리지역명급수인구읍면동상세주소급수방식수질검사기관일반세균충대장균군암모니아성질소동아연염소이온철망간잔류염소대장균-분원성대장균군탁도
93259326202051경상북도 경주시감포감포(정) 급수구역5885경상북도 경주시 감포읍 감포리동해안로 2233직결급수자체수질검사0불검출0.00.010.05622.80.00.00.63불검출0.09
1733017331202091충청북도 괴산군충주괴산52167충청북도 괴산군충청북도 괴산군 괴산읍 읍내로6길 39-1 (마을회관)직결급수맑은환경시험연구원0불검출0.00.00.01210.40.00.00.43불검출0.08
1438514386202082경기도 안양시청계통합안양동7220경기도 안양시 만안구 안양동만안구 장내로 76<NA>자체수질검사0불검출0.00.00.00614.30.00.00.55불검출0.07
6069260693202252경기도 양주시덕소광사동3796경기도 양주시부흥로 1878번길 109-12직결급수(주)다솔물환경연구소0불검출0.00.00.00320.70.00.00.57불검출0.08
5303253033202211경상남도 거제시사천신현1098경상남도 거제시 장평동장평2로4길 11직결급수한국수자원공사 부산울산경남지역협력본부0불검출0.00.010.0233.30.00.00.28불검출0.15
2797127972202122충청북도 단양군단양단성면(월악로)160충청북도 단양군 단성면 외중방리얼음골맛집직결급수(주)한국환경안전연구소0불검출0.00.00.01424.80.00.00.37불검출0.25
2837028371202121전라남도 해남군해남해남 송배수관로24150전라남도 해남군 해남읍 백야리339-1직결급수동명생명과학원(주)0불검출0.00.00.03629.00.00.00.17불검출0.05
1405614057202072경상남도 의령군우곡우곡6313경상남도 의령군 의령읍의병로25길 9-8 의령군도서관직결급수경남과학기술대학교 산학협력단 환경측정검사센터0불검출0.00.00.0036.00.00.00.12불검출0.18
4359843599202192전라남도 완도군약산고금8428전라남도 완도군 고금면고금로 222-41직결급수한국수자원공사 영섬유역본부0불검출0.00.0060.00814.50.00.00.37불검출0.11
1071082019111경상북도 경산시경산진량JR-상림2371경상북도 경산시 진량읍보인리직결급수(주)기림생명과학원0불검출0.00.00.02821.20.00.00.98불검출0.06
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