Overview

Dataset statistics

Number of variables12
Number of observations65
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.6 KiB
Average record size in memory104.0 B

Variable types

Categorical5
DateTime1
Numeric6

Dataset

Description대전광역시시설관리공단에서 운영하는 한밭수영장, 용운국제수영장, 국민생활관, 기성종합복지관의 수영장의 수질을 총 9개의 항목에 대해 검사합니다. 검사항목 및 기준 : 시설구분, 년월, 과망간산 칼륨소비량(12 mg/L이하), 수소이온농도(5.8 - 8.6),탁도(1.5 NTU이하),유리잔류 염소농도(0.4 - 1.0 mg/L),결합잔류 염소농도(0.5 mg/L 이하),비소(0.05 mg/L이하),수은(0.007 mg/L이하),알루미늄(0.5 mg/L이하),대장균군(양성 2개이하/5개), 판정결과
URLhttps://www.data.go.kr/data/15084520/fileData.do

Alerts

비소 has constant value ""Constant
판정결과 has constant value ""Constant
탁도 is highly overall correlated with 결합잔류 염소농도High correlation
결합잔류 염소농도 is highly overall correlated with 탁도High correlation
알루미늄 is highly overall correlated with 시설구분High correlation
시설구분 is highly overall correlated with 알루미늄High correlation
수은 is highly imbalanced (88.5%)Imbalance
대장균군 is highly imbalanced (88.5%)Imbalance
유리잔류 염소농도 has 1 (1.5%) zerosZeros
결합잔류 염소농도 has 19 (29.2%) zerosZeros
알루미늄 has 9 (13.8%) zerosZeros

Reproduction

Analysis started2023-12-12 10:16:07.842617
Analysis finished2023-12-12 10:16:13.177396
Duration5.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
기성종합복지관
37 
용운국제수영장
10 
한밭수영장
9 
국민생활관
9 

Length

Max length7
Median length7
Mean length6.4461538
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기성종합복지관 37
56.9%
용운국제수영장 10
 
15.4%
한밭수영장 9
 
13.8%
국민생활관 9
 
13.8%

Length

2023-12-12T19:16:13.307815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:16:13.504736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기성종합복지관 37
56.9%
용운국제수영장 10
 
15.4%
한밭수영장 9
 
13.8%
국민생활관 9
 
13.8%

년월
Date

Distinct12
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum2023-01-01 00:00:00
Maximum2023-12-01 00:00:00
2023-12-12T19:16:13.671798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:13.817746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

과망간산 칼륨소비량
Real number (ℝ)

Distinct36
Distinct (%)55.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4076923
Minimum0.3
Maximum5.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-12T19:16:13.973074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.52
Q11.2
median2.3
Q33.2
95-th percentile4.8
Maximum5.9
Range5.6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.4305056
Coefficient of variation (CV)0.59413969
Kurtosis-0.68193282
Mean2.4076923
Median Absolute Deviation (MAD)1.1
Skewness0.45751284
Sum156.5
Variance2.0463462
MonotonicityNot monotonic
2023-12-12T19:16:14.140346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
3.0 5
 
7.7%
1.8 4
 
6.2%
1.5 4
 
6.2%
2.7 4
 
6.2%
1.0 4
 
6.2%
0.3 3
 
4.6%
1.9 2
 
3.1%
0.6 2
 
3.1%
3.1 2
 
3.1%
2.8 2
 
3.1%
Other values (26) 33
50.8%
ValueCountFrequency (%)
0.3 3
4.6%
0.5 1
 
1.5%
0.6 2
3.1%
0.7 2
3.1%
0.8 1
 
1.5%
0.9 2
3.1%
1.0 4
6.2%
1.1 1
 
1.5%
1.2 1
 
1.5%
1.3 1
 
1.5%
ValueCountFrequency (%)
5.9 1
1.5%
5.3 1
1.5%
4.9 1
1.5%
4.8 2
3.1%
4.7 2
3.1%
4.5 2
3.1%
4.1 2
3.1%
3.8 1
1.5%
3.7 2
3.1%
3.5 1
1.5%

수소이온농도
Real number (ℝ)

Distinct9
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6246154
Minimum7.2
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-12T19:16:14.301490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.2
5-th percentile7.4
Q17.5
median7.6
Q37.8
95-th percentile7.9
Maximum8
Range0.8
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.18202916
Coefficient of variation (CV)0.023873881
Kurtosis-0.65294388
Mean7.6246154
Median Absolute Deviation (MAD)0.1
Skewness0.11875677
Sum495.6
Variance0.033134615
MonotonicityNot monotonic
2023-12-12T19:16:14.485361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
7.5 19
29.2%
7.8 11
16.9%
7.7 9
13.8%
7.6 9
13.8%
7.4 6
 
9.2%
7.9 6
 
9.2%
8.0 2
 
3.1%
7.3 2
 
3.1%
7.2 1
 
1.5%
ValueCountFrequency (%)
7.2 1
 
1.5%
7.3 2
 
3.1%
7.4 6
 
9.2%
7.5 19
29.2%
7.6 9
13.8%
7.7 9
13.8%
7.8 11
16.9%
7.9 6
 
9.2%
8.0 2
 
3.1%
ValueCountFrequency (%)
8.0 2
 
3.1%
7.9 6
 
9.2%
7.8 11
16.9%
7.7 9
13.8%
7.6 9
13.8%
7.5 19
29.2%
7.4 6
 
9.2%
7.3 2
 
3.1%
7.2 1
 
1.5%

탁도
Real number (ℝ)

HIGH CORRELATION 

Distinct29
Distinct (%)44.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.16169231
Minimum0.02
Maximum0.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-12T19:16:14.689805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.02
5-th percentile0.04
Q10.06
median0.13
Q30.25
95-th percentile0.398
Maximum0.73
Range0.71
Interquartile range (IQR)0.19

Descriptive statistics

Standard deviation0.13474013
Coefficient of variation (CV)0.83331196
Kurtosis3.8098798
Mean0.16169231
Median Absolute Deviation (MAD)0.08
Skewness1.666264
Sum10.51
Variance0.018154904
MonotonicityNot monotonic
2023-12-12T19:16:14.872728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.04 11
16.9%
0.06 4
 
6.2%
0.15 4
 
6.2%
0.25 4
 
6.2%
0.05 4
 
6.2%
0.08 3
 
4.6%
0.17 3
 
4.6%
0.1 3
 
4.6%
0.29 3
 
4.6%
0.14 3
 
4.6%
Other values (19) 23
35.4%
ValueCountFrequency (%)
0.02 1
 
1.5%
0.04 11
16.9%
0.05 4
 
6.2%
0.06 4
 
6.2%
0.07 2
 
3.1%
0.08 3
 
4.6%
0.09 1
 
1.5%
0.1 3
 
4.6%
0.11 2
 
3.1%
0.12 1
 
1.5%
ValueCountFrequency (%)
0.73 1
 
1.5%
0.45 2
3.1%
0.4 1
 
1.5%
0.39 1
 
1.5%
0.37 1
 
1.5%
0.35 1
 
1.5%
0.31 1
 
1.5%
0.3 1
 
1.5%
0.29 3
4.6%
0.28 1
 
1.5%

유리잔류 염소농도
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.65338462
Minimum0
Maximum1
Zeros1
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-12T19:16:15.059544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.492
Q10.56
median0.66
Q30.73
95-th percentile0.876
Maximum1
Range1
Interquartile range (IQR)0.17

Descriptive statistics

Standard deviation0.14877917
Coefficient of variation (CV)0.22770534
Kurtosis4.7784675
Mean0.65338462
Median Absolute Deviation (MAD)0.09
Skewness-1.0177078
Sum42.47
Variance0.02213524
MonotonicityNot monotonic
2023-12-12T19:16:15.253478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0.63 5
 
7.7%
0.54 4
 
6.2%
0.73 4
 
6.2%
0.69 4
 
6.2%
0.57 3
 
4.6%
0.71 3
 
4.6%
0.82 3
 
4.6%
0.52 2
 
3.1%
0.62 2
 
3.1%
0.76 2
 
3.1%
Other values (27) 33
50.8%
ValueCountFrequency (%)
0.0 1
 
1.5%
0.4 1
 
1.5%
0.44 1
 
1.5%
0.49 1
 
1.5%
0.5 2
3.1%
0.51 2
3.1%
0.52 2
3.1%
0.53 1
 
1.5%
0.54 4
6.2%
0.55 1
 
1.5%
ValueCountFrequency (%)
1.0 1
 
1.5%
0.92 1
 
1.5%
0.91 1
 
1.5%
0.88 1
 
1.5%
0.86 1
 
1.5%
0.83 1
 
1.5%
0.82 3
4.6%
0.81 1
 
1.5%
0.78 1
 
1.5%
0.77 1
 
1.5%

결합잔류 염소농도
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct28
Distinct (%)43.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.14446154
Minimum0
Maximum0.46
Zeros19
Zeros (%)29.2%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-12T19:16:15.439694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.13
Q30.23
95-th percentile0.356
Maximum0.46
Range0.46
Interquartile range (IQR)0.23

Descriptive statistics

Standard deviation0.12546203
Coefficient of variation (CV)0.86848051
Kurtosis-0.55132023
Mean0.14446154
Median Absolute Deviation (MAD)0.12
Skewness0.44093458
Sum9.39
Variance0.015740721
MonotonicityNot monotonic
2023-12-12T19:16:15.605319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.0 19
29.2%
0.2 6
 
9.2%
0.12 5
 
7.7%
0.13 4
 
6.2%
0.23 3
 
4.6%
0.27 2
 
3.1%
0.26 2
 
3.1%
0.17 2
 
3.1%
0.15 2
 
3.1%
0.3 2
 
3.1%
Other values (18) 18
27.7%
ValueCountFrequency (%)
0.0 19
29.2%
0.01 1
 
1.5%
0.03 1
 
1.5%
0.04 1
 
1.5%
0.08 1
 
1.5%
0.09 1
 
1.5%
0.12 5
 
7.7%
0.13 4
 
6.2%
0.14 1
 
1.5%
0.15 2
 
3.1%
ValueCountFrequency (%)
0.46 1
1.5%
0.45 1
1.5%
0.37 1
1.5%
0.36 1
1.5%
0.34 1
1.5%
0.31 1
1.5%
0.3 2
3.1%
0.29 1
1.5%
0.27 2
3.1%
0.26 2
3.1%

비소
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
불검출
65 

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 65
100.0%

Length

2023-12-12T19:16:15.764367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:16:15.902406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 65
100.0%

수은
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
불검출
64 
0.001
 
1

Length

Max length5
Median length3
Mean length3.0307692
Min length3

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 64
98.5%
0.001 1
 
1.5%

Length

2023-12-12T19:16:16.066290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:16:16.202153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 64
98.5%
0.001 1
 
1.5%

알루미늄
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct22
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.085230769
Minimum0
Maximum0.3
Zeros9
Zeros (%)13.8%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-12T19:16:16.331618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.04
median0.06
Q30.13
95-th percentile0.238
Maximum0.3
Range0.3
Interquartile range (IQR)0.09

Descriptive statistics

Standard deviation0.075645301
Coefficient of variation (CV)0.88753512
Kurtosis0.60032386
Mean0.085230769
Median Absolute Deviation (MAD)0.04
Skewness1.1470844
Sum5.54
Variance0.0057222115
MonotonicityNot monotonic
2023-12-12T19:16:16.489464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.06 14
21.5%
0.0 9
13.8%
0.05 4
 
6.2%
0.02 4
 
6.2%
0.04 4
 
6.2%
0.07 3
 
4.6%
0.08 3
 
4.6%
0.16 3
 
4.6%
0.03 3
 
4.6%
0.23 3
 
4.6%
Other values (12) 15
23.1%
ValueCountFrequency (%)
0.0 9
13.8%
0.02 4
 
6.2%
0.03 3
 
4.6%
0.04 4
 
6.2%
0.05 4
 
6.2%
0.06 14
21.5%
0.07 3
 
4.6%
0.08 3
 
4.6%
0.09 1
 
1.5%
0.1 2
 
3.1%
ValueCountFrequency (%)
0.3 1
 
1.5%
0.28 1
 
1.5%
0.25 1
 
1.5%
0.24 1
 
1.5%
0.23 3
4.6%
0.19 1
 
1.5%
0.18 1
 
1.5%
0.16 3
4.6%
0.15 2
3.1%
0.14 1
 
1.5%

대장균군
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
불검출
64 
1
 
1

Length

Max length3
Median length3
Mean length2.9692308
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 64
98.5%
1 1
 
1.5%

Length

2023-12-12T19:16:16.694985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:16:16.850460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 64
98.5%
1 1
 
1.5%

판정결과
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
기준에 적합
65 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기준에 적합
2nd row기준에 적합
3rd row기준에 적합
4th row기준에 적합
5th row기준에 적합

Common Values

ValueCountFrequency (%)
기준에 적합 65
100.0%

Length

2023-12-12T19:16:16.970862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:16:17.072531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기준에 65
50.0%
적합 65
50.0%

Interactions

2023-12-12T19:16:11.720472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:08.379297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:09.050577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:09.671735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:10.336466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:11.002794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:11.856638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:08.484489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:09.143916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:09.774470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:10.425859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:11.109358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:12.001686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:08.615598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:09.252236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:09.897975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:10.575081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:11.238772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:12.152903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:08.746167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:09.368800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:10.028016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:10.714745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:11.385407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:12.289300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:08.846080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:09.475050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:10.125774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:10.801414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:11.497135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:12.744287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:08.948972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:09.560947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:10.217813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:10.890472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:16:11.612165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:16:17.148003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설구분년월과망간산 칼륨소비량수소이온농도탁도유리잔류 염소농도결합잔류 염소농도수은알루미늄대장균군
시설구분1.0000.0000.2340.0000.0000.1570.2500.3460.7890.000
년월0.0001.0000.4610.5660.0000.2350.2810.0000.0000.000
과망간산 칼륨소비량0.2340.4611.0000.0000.4420.1920.6240.0000.0000.443
수소이온농도0.0000.5660.0001.0000.0000.0000.4300.0000.3480.000
탁도0.0000.0000.4420.0001.0000.0000.5230.0000.1690.000
유리잔류 염소농도0.1570.2350.1920.0000.0001.0000.0000.0000.0000.189
결합잔류 염소농도0.2500.2810.6240.4300.5230.0001.0000.0000.3230.000
수은0.3460.0000.0000.0000.0000.0000.0001.0000.3110.000
알루미늄0.7890.0000.0000.3480.1690.0000.3230.3111.0000.000
대장균군0.0000.0000.4430.0000.0000.1890.0000.0000.0001.000
2023-12-12T19:16:17.300195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수은대장균군시설구분
수은1.0000.0000.226
대장균군0.0001.0000.000
시설구분0.2260.0001.000
2023-12-12T19:16:17.411423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과망간산 칼륨소비량수소이온농도탁도유리잔류 염소농도결합잔류 염소농도알루미늄시설구분수은대장균군
과망간산 칼륨소비량1.0000.3950.4730.0310.430-0.1400.1340.0000.315
수소이온농도0.3951.000-0.0230.0800.1420.1250.0000.0000.000
탁도0.473-0.0231.000-0.1720.658-0.1640.0000.0000.000
유리잔류 염소농도0.0310.080-0.1721.000-0.268-0.0670.0000.0000.143
결합잔류 염소농도0.4300.1420.658-0.2681.0000.0100.1360.0000.000
알루미늄-0.1400.125-0.164-0.0670.0101.0000.5810.3150.000
시설구분0.1340.0000.0000.0000.1360.5811.0000.2260.000
수은0.0000.0000.0000.0000.0000.3150.2261.0000.000
대장균군0.3150.0000.0000.1430.0000.0000.0000.0001.000

Missing values

2023-12-12T19:16:12.896863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:16:13.095809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

시설구분년월과망간산 칼륨소비량수소이온농도탁도유리잔류 염소농도결합잔류 염소농도비소수은알루미늄대장균군판정결과
0한밭수영장2023-011.77.40.190.550.0불검출불검출0.1불검출기준에 적합
1한밭수영장2023-041.07.50.050.630.0불검출불검출0.0불검출기준에 적합
2한밭수영장2023-051.87.70.040.670.0불검출불검출0.07불검출기준에 적합
3한밭수영장2023-061.47.70.080.510.0불검출불검출0.15불검출기준에 적합
4한밭수영장2023-070.77.50.050.560.12불검출불검출0.15불검출기준에 적합
5한밭수영장2023-011.57.60.040.50.12불검출불검출0.13불검출기준에 적합
6한밭수영장2023-070.37.40.050.540.13불검출불검출0.12불검출기준에 적합
7한밭수영장2023-010.37.60.170.630.08불검출불검출0.1불검출기준에 적합
8한밭수영장2023-010.37.50.150.630.2불검출0.0010.16불검출기준에 적합
9용운국제수영장2023-011.57.40.080.730.0불검출불검출0.19불검출기준에 적합
시설구분년월과망간산 칼륨소비량수소이온농도탁도유리잔류 염소농도결합잔류 염소농도비소수은알루미늄대장균군판정결과
55기성종합복지관2023-073.17.80.40.490.3불검출불검출0.08불검출기준에 적합
56기성종합복지관2023-084.17.80.390.530.26불검출불검출0.06불검출기준에 적합
57기성종합복지관2023-091.97.60.150.810.31불검출불검출0.08불검출기준에 적합
58기성종합복지관2023-105.97.50.30.570.23불검출불검출0.06불검출기준에 적합
59기성종합복지관2023-111.87.70.290.710.29불검출불검출0.06불검출기준에 적합
60기성종합복지관2023-122.57.80.250.650.3불검출불검출0.08불검출기준에 적합
61기성종합복지관2023-035.37.80.290.570.34불검출불검출0.06불검출기준에 적합
62기성종합복지관2023-044.87.60.250.860.2불검출불검출0.051기준에 적합
63기성종합복지관2023-054.58.00.240.620.37불검출불검출0.04불검출기준에 적합
64기성종합복지관2023-063.77.90.350.540.45불검출불검출0.06불검출기준에 적합