Overview

Dataset statistics

Number of variables12
Number of observations140
Missing cells149
Missing cells (%)8.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.7 KiB
Average record size in memory99.9 B

Variable types

Numeric3
Text2
Categorical6
DateTime1

Dataset

Description부산광역시_먹는물공동시설(약수터)수질검사결과정보_20231231
Author부산광역시
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15083355

Alerts

총대장균군 is highly overall correlated with 일반세균 중온 and 4 other fieldsHigh correlation
분원성대장균군 is highly overall correlated with 일반세균 중온 and 4 other fieldsHigh correlation
검사여부 is highly overall correlated with 일반세균 중온 and 5 other fieldsHigh correlation
암모니아성 질소 is highly overall correlated with 번호 and 7 other fieldsHigh correlation
과망간산칼륨소비량 is highly overall correlated with 검사여부 and 1 other fieldsHigh correlation
검사결과 is highly overall correlated with 일반세균 중온 and 3 other fieldsHigh correlation
번호 is highly overall correlated with 암모니아성 질소High correlation
일반세균 중온 is highly overall correlated with 검사여부 and 4 other fieldsHigh correlation
질산성 질소 is highly overall correlated with 검사여부 and 1 other fieldsHigh correlation
검사여부 is highly imbalanced (81.3%)Imbalance
총대장균군 is highly imbalanced (56.2%)Imbalance
분원성대장균군 is highly imbalanced (65.0%)Imbalance
암모니아성 질소 is highly imbalanced (85.1%)Imbalance
과망간산칼륨소비량 is highly imbalanced (61.2%)Imbalance
미검사사유 has 136 (97.1%) missing valuesMissing
검사일자 has 4 (2.9%) missing valuesMissing
일반세균 중온 has 4 (2.9%) missing valuesMissing
질산성 질소 has 5 (3.6%) missing valuesMissing
번호 has unique valuesUnique
공동시설명 has unique valuesUnique
일반세균 중온 has 103 (73.6%) zerosZeros

Reproduction

Analysis started2024-03-13 13:13:52.954025
Analysis finished2024-03-13 13:13:56.849511
Duration3.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct140
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.5
Minimum1
Maximum140
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-03-13T22:13:56.936792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.95
Q135.75
median70.5
Q3105.25
95-th percentile133.05
Maximum140
Range139
Interquartile range (IQR)69.5

Descriptive statistics

Standard deviation40.5586
Coefficient of variation (CV)0.57529928
Kurtosis-1.2
Mean70.5
Median Absolute Deviation (MAD)35
Skewness0
Sum9870
Variance1645
MonotonicityStrictly increasing
2024-03-13T22:13:57.140641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
98 1
 
0.7%
92 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
95 1
 
0.7%
96 1
 
0.7%
97 1
 
0.7%
99 1
 
0.7%
90 1
 
0.7%
Other values (130) 130
92.9%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
140 1
0.7%
139 1
0.7%
138 1
0.7%
137 1
0.7%
136 1
0.7%
135 1
0.7%
134 1
0.7%
133 1
0.7%
132 1
0.7%
131 1
0.7%

공동시설명
Text

UNIQUE 

Distinct140
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-13T22:13:57.548573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length7.0642857
Min length5

Characters and Unicode

Total characters989
Distinct characters152
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique140 ?
Unique (%)100.0%

Sample

1st row금정구 수박골
2nd row금정구 삼밭골
3rd row금정구 호국사
4th row금정구 참샘골
5th row금정구 정암
ValueCountFrequency (%)
사상구 19
 
6.7%
금정구 15
 
5.3%
사하구 15
 
5.3%
부산진구 13
 
4.6%
북구 13
 
4.6%
남구 10
 
3.5%
동래구 10
 
3.5%
해운대구 10
 
3.5%
영도구 10
 
3.5%
동구 8
 
2.8%
Other values (141) 159
56.4%
2024-03-13T22:13:58.116543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
142
 
14.4%
구 140
 
14.2%
사 46
 
4.7%
정 33
 
3.3%
산 33
 
3.3%
수 24
 
2.4%
금 23
 
2.3%
동 23
 
2.3%
상 21
 
2.1%
대 18
 
1.8%
Other values (142) 486
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 832
84.1%
Space Separator 142
 
14.4%
Open Punctuation 6
 
0.6%
Close Punctuation 6
 
0.6%
Decimal Number 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 140
 
16.8%
사 46
 
5.5%
정 33
 
4.0%
산 33
 
4.0%
수 24
 
2.9%
금 23
 
2.8%
동 23
 
2.8%
상 21
 
2.5%
대 18
 
2.2%
하 17
 
2.0%
Other values (136) 454
54.6%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
1 1
33.3%
4 1
33.3%
Space Separator
ValueCountFrequency (%)
142
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 832
84.1%
Common 157
 
15.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 140
 
16.8%
사 46
 
5.5%
정 33
 
4.0%
산 33
 
4.0%
수 24
 
2.9%
금 23
 
2.8%
동 23
 
2.8%
상 21
 
2.5%
대 18
 
2.2%
하 17
 
2.0%
Other values (136) 454
54.6%
Common
ValueCountFrequency (%)
142
90.4%
( 6
 
3.8%
) 6
 
3.8%
2 1
 
0.6%
1 1
 
0.6%
4 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 832
84.1%
ASCII 157
 
15.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
142
90.4%
( 6
 
3.8%
) 6
 
3.8%
2 1
 
0.6%
1 1
 
0.6%
4 1
 
0.6%
Hangul
ValueCountFrequency (%)
구 140
 
16.8%
사 46
 
5.5%
정 33
 
4.0%
산 33
 
4.0%
수 24
 
2.9%
금 23
 
2.8%
동 23
 
2.8%
상 21
 
2.5%
대 18
 
2.2%
하 17
 
2.0%
Other values (136) 454
54.6%

검사여부
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
검사
136 
미검사
 
4

Length

Max length3
Median length2
Mean length2.0285714
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row검사
2nd row검사
3rd row검사
4th row미검사
5th row검사

Common Values

ValueCountFrequency (%)
검사 136
97.1%
미검사 4
 
2.9%

Length

2024-03-13T22:13:58.318437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:13:58.490773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
검사 136
97.1%
미검사 4
 
2.9%

미검사사유
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing136
Missing (%)97.1%
Memory size1.2 KiB
2024-03-13T22:13:58.644363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5.5
Mean length4.75
Min length4

Characters and Unicode

Total characters19
Distinct characters10
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

Unique4 ?
Unique (%)100.0%

Sample

1st row수량 고갈
2nd row유량부족
3rd row채수량 부족
4th row수원고갈
ValueCountFrequency (%)
수량 1
16.7%
고갈 1
16.7%
유량부족 1
16.7%
채수량 1
16.7%
부족 1
16.7%
수원고갈 1
16.7%
2024-03-13T22:13:59.016398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
수 3
15.8%
량 3
15.8%
2
10.5%
고 2
10.5%
갈 2
10.5%
부 2
10.5%
족 2
10.5%
유 1
 
5.3%
채 1
 
5.3%
원 1
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17
89.5%
Space Separator 2
 
10.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 3
17.6%
량 3
17.6%
고 2
11.8%
갈 2
11.8%
부 2
11.8%
족 2
11.8%
유 1
 
5.9%
채 1
 
5.9%
원 1
 
5.9%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17
89.5%
Common 2
 
10.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 3
17.6%
량 3
17.6%
고 2
11.8%
갈 2
11.8%
부 2
11.8%
족 2
11.8%
유 1
 
5.9%
채 1
 
5.9%
원 1
 
5.9%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17
89.5%
ASCII 2
 
10.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
수 3
17.6%
량 3
17.6%
고 2
11.8%
갈 2
11.8%
부 2
11.8%
족 2
11.8%
유 1
 
5.9%
채 1
 
5.9%
원 1
 
5.9%
ASCII
ValueCountFrequency (%)
2
100.0%

검사일자
Date

MISSING 

Distinct13
Distinct (%)9.6%
Missing4
Missing (%)2.9%
Memory size1.2 KiB
Minimum2023-10-17 00:00:00
Maximum2023-12-05 00:00:00
2024-03-13T22:13:59.175577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:13:59.304742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

검사결과
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
적합
123 
부적합
17 

Length

Max length3
Median length2
Mean length2.1214286
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
적합 123
87.9%
부적합 17
 
12.1%

Length

2024-03-13T22:13:59.422787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:13:59.522920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 123
87.9%
부적합 17
 
12.1%

일반세균 중온
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct19
Distinct (%)14.0%
Missing4
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean13.191176
Minimum0
Maximum444
Zeros103
Zeros (%)73.6%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-03-13T22:13:59.622390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile80.5
Maximum444
Range444
Interquartile range (IQR)0

Descriptive statistics

Standard deviation55.316666
Coefficient of variation (CV)4.1934596
Kurtosis37.402523
Mean13.191176
Median Absolute Deviation (MAD)0
Skewness5.7873864
Sum1794
Variance3059.9336
MonotonicityNot monotonic
2024-03-13T22:13:59.727125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 103
73.6%
1 11
 
7.9%
2 3
 
2.1%
14 3
 
2.1%
3 2
 
1.4%
37 1
 
0.7%
174 1
 
0.7%
176 1
 
0.7%
91 1
 
0.7%
44 1
 
0.7%
Other values (9) 9
 
6.4%
(Missing) 4
 
2.9%
ValueCountFrequency (%)
0 103
73.6%
1 11
 
7.9%
2 3
 
2.1%
3 2
 
1.4%
5 1
 
0.7%
6 1
 
0.7%
11 1
 
0.7%
14 3
 
2.1%
37 1
 
0.7%
44 1
 
0.7%
ValueCountFrequency (%)
444 1
0.7%
348 1
0.7%
176 1
0.7%
174 1
0.7%
153 1
0.7%
115 1
0.7%
91 1
0.7%
77 1
0.7%
48 1
0.7%
44 1
0.7%

총대장균군
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
불검출
120 
검출
16 
<NA>
 
4

Length

Max length4
Median length3
Mean length2.9142857
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 120
85.7%
검출 16
 
11.4%
<NA> 4
 
2.9%

Length

2024-03-13T22:13:59.861619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:13:59.981140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 120
85.7%
검출 16
 
11.4%
na 4
 
2.9%

분원성대장균군
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
불검출
126 
검출
 
10
<NA>
 
4

Length

Max length4
Median length3
Mean length2.9571429
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 126
90.0%
검출 10
 
7.1%
<NA> 4
 
2.9%

Length

2024-03-13T22:14:00.127955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:14:00.253553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 126
90.0%
검출 10
 
7.1%
na 4
 
2.9%

암모니아성 질소
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
불검출
137 
<NA>
 
3

Length

Max length4
Median length3
Mean length3.0214286
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 137
97.9%
<NA> 3
 
2.1%

Length

2024-03-13T22:14:00.388043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:14:00.533572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 137
97.9%
na 3
 
2.1%

질산성 질소
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct48
Distinct (%)35.6%
Missing5
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean2.1311111
Minimum0.2
Maximum8.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-03-13T22:14:00.693851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.5
Q11
median1.8
Q32.8
95-th percentile5.26
Maximum8.2
Range8
Interquartile range (IQR)1.8

Descriptive statistics

Standard deviation1.5303139
Coefficient of variation (CV)0.71808265
Kurtosis1.7486692
Mean2.1311111
Median Absolute Deviation (MAD)0.9
Skewness1.3424361
Sum287.7
Variance2.3418607
MonotonicityNot monotonic
2024-03-13T22:14:00.857266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0.9 9
 
6.4%
1.5 7
 
5.0%
1.9 7
 
5.0%
0.7 7
 
5.0%
1.4 6
 
4.3%
1.2 5
 
3.6%
2.0 5
 
3.6%
1.1 5
 
3.6%
0.8 5
 
3.6%
1.8 5
 
3.6%
Other values (38) 74
52.9%
(Missing) 5
 
3.6%
ValueCountFrequency (%)
0.2 1
 
0.7%
0.3 1
 
0.7%
0.4 4
2.9%
0.5 3
 
2.1%
0.6 3
 
2.1%
0.7 7
5.0%
0.8 5
3.6%
0.9 9
6.4%
1.0 4
2.9%
1.1 5
3.6%
ValueCountFrequency (%)
8.2 1
0.7%
6.7 2
1.4%
5.7 1
0.7%
5.6 1
0.7%
5.5 1
0.7%
5.4 1
0.7%
5.2 1
0.7%
4.8 1
0.7%
4.7 1
0.7%
4.4 1
0.7%

과망간산칼륨소비량
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct7
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
불검출
113 
0.3
14 
0.4
 
5
<NA>
 
4
0.8
 
2
Other values (2)
 
2

Length

Max length4
Median length3
Mean length3.0285714
Min length3

Unique

Unique2 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 113
80.7%
0.3 14
 
10.0%
0.4 5
 
3.6%
<NA> 4
 
2.9%
0.8 2
 
1.4%
0.6 1
 
0.7%
0.5 1
 
0.7%

Length

2024-03-13T22:14:01.014919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:14:01.137513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 113
80.7%
0.3 14
 
10.0%
0.4 5
 
3.6%
na 4
 
2.9%
0.8 2
 
1.4%
0.6 1
 
0.7%
0.5 1
 
0.7%

Interactions

2024-03-13T22:13:55.789368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:13:54.975918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:13:55.449027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:13:55.911645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:13:55.232734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:13:55.566698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:13:56.030411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:13:55.330053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:13:55.657426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T22:14:01.231923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호검사여부미검사사유검사일자검사결과일반세균 중온총대장균군분원성대장균군질산성 질소과망간산칼륨소비량
번호1.0000.0001.0000.8880.4230.0000.4590.4000.2640.352
검사여부0.0001.000NaNNaN0.000NaNNaNNaNNaNNaN
미검사사유1.000NaN1.000NaNNaNNaNNaNNaNNaNNaN
검사일자0.888NaNNaN1.0000.1640.0000.2250.1240.0000.208
검사결과0.4230.000NaN0.1641.0000.8130.9940.8910.0000.000
일반세균 중온0.000NaNNaN0.0000.8131.0000.7380.7950.0000.514
총대장균군0.459NaNNaN0.2250.9940.7381.0000.9080.0000.000
분원성대장균군0.400NaNNaN0.1240.8910.7950.9081.0000.0000.000
질산성 질소0.264NaNNaN0.0000.0000.0000.0000.0001.0000.000
과망간산칼륨소비량0.352NaNNaN0.2080.0000.5140.0000.0000.0001.000
2024-03-13T22:14:01.379891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
총대장균군분원성대장균군검사여부암모니아성 질소과망간산칼륨소비량검사결과
총대장균군1.0000.7251.0001.0000.0000.931
분원성대장균군0.7251.0001.0001.0000.0000.700
검사여부1.0001.0001.0001.0001.0000.000
암모니아성 질소1.0001.0001.0001.0001.0001.000
과망간산칼륨소비량0.0000.0001.0001.0001.0000.000
검사결과0.9310.7000.0001.0000.0001.000
2024-03-13T22:14:01.527306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호일반세균 중온질산성 질소검사여부검사결과총대장균군분원성대장균군암모니아성 질소과망간산칼륨소비량
번호1.0000.011-0.0680.0000.3150.3420.2971.0000.189
일반세균 중온0.0111.000-0.0311.0000.6080.5390.5901.0000.206
질산성 질소-0.068-0.0311.0001.0000.0000.0000.0001.0000.000
검사여부0.0001.0001.0001.0000.0001.0001.0001.0001.000
검사결과0.3150.6080.0000.0001.0000.9310.7001.0000.000
총대장균군0.3420.5390.0001.0000.9311.0000.7251.0000.000
분원성대장균군0.2970.5900.0001.0000.7000.7251.0001.0000.000
암모니아성 질소1.0001.0001.0001.0001.0001.0001.0001.0001.000
과망간산칼륨소비량0.1890.2060.0001.0000.0000.0000.0001.0001.000

Missing values

2024-03-13T22:13:56.246347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T22:13:56.480574image/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.
2024-03-13T22:13:56.708055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

번호공동시설명검사여부미검사사유검사일자검사결과일반세균 중온총대장균군분원성대장균군암모니아성 질소질산성 질소과망간산칼륨소비량
01금정구 수박골검사<NA>2023.10.17적합0불검출불검출불검출1.5불검출
12금정구 삼밭골검사<NA>2023.10.17적합0불검출불검출불검출1.1불검출
23금정구 호국사검사<NA>2023.10.17적합0불검출불검출불검출1.2불검출
34금정구 참샘골미검사수량 고갈<NA>적합<NA><NA><NA><NA><NA><NA>
45금정구 정암검사<NA>2023.10.25적합0불검출불검출불검출0.9불검출
56금정구 물망골검사<NA>2023.10.25적합0불검출불검출불검출3.7불검출
67금정구 용머리검사<NA>2023.10.25적합0불검출불검출불검출1.3불검출
78금정구 제일검사<NA>2023.11.13적합0불검출불검출불검출2.6불검출
89금정구 서곡검사<NA>2023.11.13적합0불검출불검출불검출1.00.6
910금정구 서천검사<NA>2023.11.13적합0불검출불검출불검출3.9불검출
번호공동시설명검사여부미검사사유검사일자검사결과일반세균 중온총대장균군분원성대장균군암모니아성 질소질산성 질소과망간산칼륨소비량
130131해운대구 체육공원검사<NA>2023.11.14적합0불검출불검출불검출4.2불검출
131132해운대구 초록공원검사<NA>2023.11.14적합0불검출불검출불검출4.20.3
132133해운대구 장산검사<NA>2023.11.14적합0불검출불검출불검출0.8불검출
133134해운대구 장천사검사<NA>2023.11.14적합0불검출불검출불검출4.0불검출
134135해운대구 체육공원내검사<NA>2023.11.14적합0불검출불검출불검출1.0불검출
135136해운대구 옥천사검사<NA>2023.11.21적합0불검출불검출불검출0.7불검출
136137해운대구 고씨제당검사<NA>2023.11.21적합0불검출불검출불검출0.7불검출
137138해운대구 장산제일검사<NA>2023.11.21적합0불검출불검출불검출0.60.3
138139해운대구 장산산림욕장검사<NA>2023.11.21적합0불검출불검출불검출0.7불검출
139140해운대구 초록공원위검사<NA>2023.11.21적합0불검출불검출불검출4.00.3