Overview

Dataset statistics

Number of variables40
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.2 KiB
Average record size in memory361.4 B

Variable types

Numeric37
Text2
Categorical1

Dataset

Description경기도 고양시 하천의 수질에 대한 데이터로 하천 위치별 생물화학적산소요구량, 부유물질량, 총질소, 총인 등의 항목(2023년 3월~11월)을 제공합니다.
Author경기도 고양시
URLhttps://www.data.go.kr/data/3078988/fileData.do

Alerts

단위 has constant value ""Constant
연번 has unique valuesUnique
위치 has unique valuesUnique
주소 has unique valuesUnique
2023-03(총인) has unique valuesUnique
2023-04(총인) has unique valuesUnique
2023-09(총질소) has unique valuesUnique
2023-09(부유물질량) has 1 (3.4%) zerosZeros

Reproduction

Analysis started2024-03-15 02:21:57.405380
Analysis finished2024-03-15 02:21:57.980004
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15
Minimum1
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:21:58.141569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.4
Q18
median15
Q322
95-th percentile27.6
Maximum29
Range28
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.5146932
Coefficient of variation (CV)0.56764621
Kurtosis-1.2
Mean15
Median Absolute Deviation (MAD)7
Skewness0
Sum435
Variance72.5
MonotonicityStrictly increasing
2024-03-15T11:21:58.429345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 1
 
3.4%
2 1
 
3.4%
29 1
 
3.4%
28 1
 
3.4%
27 1
 
3.4%
26 1
 
3.4%
25 1
 
3.4%
24 1
 
3.4%
23 1
 
3.4%
22 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
1 1
3.4%
2 1
3.4%
3 1
3.4%
4 1
3.4%
5 1
3.4%
6 1
3.4%
7 1
3.4%
8 1
3.4%
9 1
3.4%
10 1
3.4%
ValueCountFrequency (%)
29 1
3.4%
28 1
3.4%
27 1
3.4%
26 1
3.4%
25 1
3.4%
24 1
3.4%
23 1
3.4%
22 1
3.4%
21 1
3.4%
20 1
3.4%

위치
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size360.0 B
2024-03-15T11:21:58.985394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0689655
Min length6

Characters and Unicode

Total characters176
Distinct characters27
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

Unique29 ?
Unique (%)100.0%

Sample

1st row공릉천 상류
2nd row공릉천 중류
3rd row공릉천 하류
4th row창릉천 상류
5th row창릉천 중류
ValueCountFrequency (%)
상류 12
20.7%
하류 12
20.7%
중류 5
8.6%
공릉천 3
 
5.2%
창릉천 3
 
5.2%
순창천 3
 
5.2%
도촌천 3
 
5.2%
한산천 3
 
5.2%
성사천 2
 
3.4%
벽제천 2
 
3.4%
Other values (5) 10
17.2%
2024-03-15T11:22:00.003240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
류 31
17.6%
천 29
16.5%
29
16.5%
상 12
 
6.8%
하 12
 
6.8%
릉 6
 
3.4%
창 6
 
3.4%
중 5
 
2.8%
한 5
 
2.8%
공 3
 
1.7%
Other values (17) 38
21.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 147
83.5%
Space Separator 29
 
16.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
류 31
21.1%
천 29
19.7%
상 12
 
8.2%
하 12
 
8.2%
릉 6
 
4.1%
창 6
 
4.1%
중 5
 
3.4%
한 5
 
3.4%
공 3
 
2.0%
도 3
 
2.0%
Other values (16) 35
23.8%
Space Separator
ValueCountFrequency (%)
29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 147
83.5%
Common 29
 
16.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
류 31
21.1%
천 29
19.7%
상 12
 
8.2%
하 12
 
8.2%
릉 6
 
4.1%
창 6
 
4.1%
중 5
 
3.4%
한 5
 
3.4%
공 3
 
2.0%
도 3
 
2.0%
Other values (16) 35
23.8%
Common
ValueCountFrequency (%)
29
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 147
83.5%
ASCII 29
 
16.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
류 31
21.1%
천 29
19.7%
상 12
 
8.2%
하 12
 
8.2%
릉 6
 
4.1%
창 6
 
4.1%
중 5
 
3.4%
한 5
 
3.4%
공 3
 
2.0%
도 3
 
2.0%
Other values (16) 35
23.8%
ASCII
ValueCountFrequency (%)
29
100.0%

주소
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size360.0 B
2024-03-15T11:22:00.885480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length31
Mean length28.724138
Min length21

Characters and Unicode

Total characters833
Distinct characters104
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

Unique29 ?
Unique (%)100.0%

Sample

1st row경기도 고양시 덕양구 선유동 375 (능선교)
2nd row경기도 고양시 덕양구 관산동 358-3 (제2벽제교)
3rd row경기도 고양시 일산동구 지영동 954 (지영교)
4th row경기도 고양시 덕양구 지축동 312 (북한산교)
5th row경기도 고양시 덕양구 삼송동 348-4 (삼송교)
ValueCountFrequency (%)
경기도 29
17.0%
고양시 29
17.0%
덕양구 15
 
8.8%
일산서구 8
 
4.7%
일산동구 6
 
3.5%
대화동 3
 
1.8%
용두동 3
 
1.8%
풍동 2
 
1.2%
덕이동 2
 
1.2%
합류지점 2
 
1.2%
Other values (71) 72
42.1%
2024-03-15T11:22:01.978220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
142
 
17.0%
양 46
 
5.5%
동 35
 
4.2%
도 31
 
3.7%
고 31
 
3.7%
구 30
 
3.6%
경 29
 
3.5%
시 29
 
3.5%
기 29
 
3.5%
( 28
 
3.4%
Other values (94) 403
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 493
59.2%
Space Separator 142
 
17.0%
Decimal Number 120
 
14.4%
Open Punctuation 28
 
3.4%
Close Punctuation 28
 
3.4%
Dash Punctuation 18
 
2.2%
Other Punctuation 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 46
 
9.3%
동 35
 
7.1%
도 31
 
6.3%
고 31
 
6.3%
구 30
 
6.1%
경 29
 
5.9%
시 29
 
5.9%
기 29
 
5.9%
교 23
 
4.7%
산 21
 
4.3%
Other values (79) 189
38.3%
Decimal Number
ValueCountFrequency (%)
1 26
21.7%
2 18
15.0%
3 16
13.3%
7 11
9.2%
8 11
9.2%
5 11
9.2%
6 8
 
6.7%
4 8
 
6.7%
9 7
 
5.8%
0 4
 
3.3%
Space Separator
ValueCountFrequency (%)
142
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 493
59.2%
Common 340
40.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 46
 
9.3%
동 35
 
7.1%
도 31
 
6.3%
고 31
 
6.3%
구 30
 
6.1%
경 29
 
5.9%
시 29
 
5.9%
기 29
 
5.9%
교 23
 
4.7%
산 21
 
4.3%
Other values (79) 189
38.3%
Common
ValueCountFrequency (%)
142
41.8%
( 28
 
8.2%
) 28
 
8.2%
1 26
 
7.6%
- 18
 
5.3%
2 18
 
5.3%
3 16
 
4.7%
7 11
 
3.2%
8 11
 
3.2%
5 11
 
3.2%
Other values (5) 31
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 493
59.2%
ASCII 340
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
142
41.8%
( 28
 
8.2%
) 28
 
8.2%
1 26
 
7.6%
- 18
 
5.3%
2 18
 
5.3%
3 16
 
4.7%
7 11
 
3.2%
8 11
 
3.2%
5 11
 
3.2%
Other values (5) 31
 
9.1%
Hangul
ValueCountFrequency (%)
양 46
 
9.3%
동 35
 
7.1%
도 31
 
6.3%
고 31
 
6.3%
구 30
 
6.1%
경 29
 
5.9%
시 29
 
5.9%
기 29
 
5.9%
교 23
 
4.7%
산 21
 
4.3%
Other values (79) 189
38.3%

2023-03(생물화학적산소요구량)
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.2172414
Minimum0.3
Maximum72.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:02.195036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.88
Q11.9
median3.6
Q37.4
95-th percentile14.62
Maximum72.6
Range72.3
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation13.187902
Coefficient of variation (CV)1.8272774
Kurtosis23.419909
Mean7.2172414
Median Absolute Deviation (MAD)2
Skewness4.6510326
Sum209.3
Variance173.92076
MonotonicityNot monotonic
2024-03-15T11:22:02.591994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1.9 3
 
10.3%
8.3 2
 
6.9%
3.9 2
 
6.9%
1.7 2
 
6.9%
2.6 1
 
3.4%
15.5 1
 
3.4%
6.0 1
 
3.4%
7.4 1
 
3.4%
4.9 1
 
3.4%
5.6 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
0.3 1
 
3.4%
0.6 1
 
3.4%
1.3 1
 
3.4%
1.5 1
 
3.4%
1.7 2
6.9%
1.9 3
10.3%
2.4 1
 
3.4%
2.6 1
 
3.4%
2.7 1
 
3.4%
2.9 1
 
3.4%
ValueCountFrequency (%)
72.6 1
3.4%
15.5 1
3.4%
13.3 1
3.4%
12.6 1
3.4%
10.2 1
3.4%
8.3 2
6.9%
7.4 1
3.4%
6.5 1
3.4%
6.0 1
3.4%
5.6 1
3.4%

2023-03(부유물질량)
Real number (ℝ)

Distinct26
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.548276
Minimum2.7
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:02.967762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile4.1
Q18.7
median12
Q323
95-th percentile69.62
Maximum89
Range86.3
Interquartile range (IQR)14.3

Descriptive statistics

Standard deviation21.316151
Coefficient of variation (CV)1.0373693
Kurtosis3.9315395
Mean20.548276
Median Absolute Deviation (MAD)5
Skewness2.0920448
Sum595.9
Variance454.3783
MonotonicityNot monotonic
2024-03-15T11:22:03.184972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
33.0 2
 
6.9%
10.7 2
 
6.9%
12.7 2
 
6.9%
8.3 1
 
3.4%
23.0 1
 
3.4%
19.3 1
 
3.4%
12.0 1
 
3.4%
11.0 1
 
3.4%
9.7 1
 
3.4%
20.7 1
 
3.4%
Other values (16) 16
55.2%
ValueCountFrequency (%)
2.7 1
3.4%
3.7 1
3.4%
4.7 1
3.4%
6.3 1
3.4%
7.0 1
3.4%
7.3 1
3.4%
8.3 1
3.4%
8.7 1
3.4%
9.3 1
3.4%
9.7 1
3.4%
ValueCountFrequency (%)
89.0 1
3.4%
70.7 1
3.4%
68.0 1
3.4%
37.7 1
3.4%
33.0 2
6.9%
25.7 1
3.4%
23.0 1
3.4%
20.7 1
3.4%
19.3 1
3.4%
16.0 1
3.4%

2023-03(총질소)
Real number (ℝ)

Distinct27
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0310345
Minimum1
Maximum8.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:03.484070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.54
Q12.3
median3.6
Q35.6
95-th percentile7.66
Maximum8.2
Range7.2
Interquartile range (IQR)3.3

Descriptive statistics

Standard deviation2.1537515
Coefficient of variation (CV)0.53429249
Kurtosis-1.0382665
Mean4.0310345
Median Absolute Deviation (MAD)1.6
Skewness0.51328054
Sum116.9
Variance4.6386453
MonotonicityNot monotonic
2024-03-15T11:22:03.907029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
4.3 2
 
6.9%
2.2 2
 
6.9%
1.6 1
 
3.4%
5.2 1
 
3.4%
6.7 1
 
3.4%
2.3 1
 
3.4%
4.1 1
 
3.4%
1.7 1
 
3.4%
2.4 1
 
3.4%
2.7 1
 
3.4%
Other values (17) 17
58.6%
ValueCountFrequency (%)
1.0 1
3.4%
1.5 1
3.4%
1.6 1
3.4%
1.7 1
3.4%
1.8 1
3.4%
2.2 2
6.9%
2.3 1
3.4%
2.4 1
3.4%
2.5 1
3.4%
2.6 1
3.4%
ValueCountFrequency (%)
8.2 1
3.4%
7.9 1
3.4%
7.3 1
3.4%
6.9 1
3.4%
6.8 1
3.4%
6.7 1
3.4%
6.3 1
3.4%
5.6 1
3.4%
5.4 1
3.4%
5.2 1
3.4%

2023-03(총인)
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.28137931
Minimum0.007
Maximum1.044
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:04.264256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.007
5-th percentile0.0288
Q10.087
median0.198
Q30.404
95-th percentile0.7242
Maximum1.044
Range1.037
Interquartile range (IQR)0.317

Descriptive statistics

Standard deviation0.26112236
Coefficient of variation (CV)0.92800839
Kurtosis1.1909349
Mean0.28137931
Median Absolute Deviation (MAD)0.121
Skewness1.2862415
Sum8.16
Variance0.068184887
MonotonicityNot monotonic
2024-03-15T11:22:04.508970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.077 1
 
3.4%
0.039 1
 
3.4%
0.522 1
 
3.4%
0.209 1
 
3.4%
0.539 1
 
3.4%
0.318 1
 
3.4%
0.109 1
 
3.4%
0.216 1
 
3.4%
0.194 1
 
3.4%
0.684 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
0.007 1
3.4%
0.024 1
3.4%
0.036 1
3.4%
0.039 1
3.4%
0.046 1
3.4%
0.065 1
3.4%
0.077 1
3.4%
0.087 1
3.4%
0.109 1
3.4%
0.113 1
3.4%
ValueCountFrequency (%)
1.044 1
3.4%
0.751 1
3.4%
0.684 1
3.4%
0.667 1
3.4%
0.551 1
3.4%
0.539 1
3.4%
0.522 1
3.4%
0.404 1
3.4%
0.318 1
3.4%
0.309 1
3.4%

2023-04(생물화학적산소요구량)
Real number (ℝ)

Distinct26
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.5206897
Minimum1
Maximum102.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:04.886163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.3
Q12.6
median5.8
Q37.7
95-th percentile10.1
Maximum102.3
Range101.3
Interquartile range (IQR)5.1

Descriptive statistics

Standard deviation18.262322
Coefficient of variation (CV)2.1432916
Kurtosis27.435482
Mean8.5206897
Median Absolute Deviation (MAD)2.7
Skewness5.1732254
Sum247.1
Variance333.51241
MonotonicityNot monotonic
2024-03-15T11:22:05.299523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1.3 2
 
6.9%
7.3 2
 
6.9%
1.4 2
 
6.9%
2.0 1
 
3.4%
2.7 1
 
3.4%
6.8 1
 
3.4%
5.8 1
 
3.4%
9.2 1
 
3.4%
3.3 1
 
3.4%
6.7 1
 
3.4%
Other values (16) 16
55.2%
ValueCountFrequency (%)
1.0 1
3.4%
1.3 2
6.9%
1.4 2
6.9%
2.0 1
3.4%
2.2 1
3.4%
2.6 1
3.4%
2.7 1
3.4%
2.9 1
3.4%
3.3 1
3.4%
4.1 1
3.4%
ValueCountFrequency (%)
102.3 1
3.4%
10.7 1
3.4%
9.2 1
3.4%
8.8 1
3.4%
8.5 1
3.4%
8.1 1
3.4%
7.8 1
3.4%
7.7 1
3.4%
7.3 2
6.9%
7.2 1
3.4%

2023-04(부유물질량)
Real number (ℝ)

Distinct26
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.893103
Minimum2
Maximum167.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:05.680815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.5
Q18.7
median11.7
Q322.3
95-th percentile58.12
Maximum167.7
Range165.7
Interquartile range (IQR)13.6

Descriptive statistics

Standard deviation31.35168
Coefficient of variation (CV)1.4320345
Kurtosis17.68201
Mean21.893103
Median Absolute Deviation (MAD)5
Skewness3.9656027
Sum634.9
Variance982.92781
MonotonicityNot monotonic
2024-03-15T11:22:06.083582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
8.7 3
 
10.3%
9.0 2
 
6.9%
20.7 1
 
3.4%
167.7 1
 
3.4%
14.0 1
 
3.4%
11.3 1
 
3.4%
13.0 1
 
3.4%
17.3 1
 
3.4%
8.0 1
 
3.4%
10.0 1
 
3.4%
Other values (16) 16
55.2%
ValueCountFrequency (%)
2.0 1
 
3.4%
2.7 1
 
3.4%
4.7 1
 
3.4%
5.7 1
 
3.4%
8.0 1
 
3.4%
8.7 3
10.3%
9.0 2
6.9%
9.7 1
 
3.4%
10.0 1
 
3.4%
10.7 1
 
3.4%
ValueCountFrequency (%)
167.7 1
3.4%
72.0 1
3.4%
37.3 1
3.4%
36.0 1
3.4%
28.7 1
3.4%
28.3 1
3.4%
24.0 1
3.4%
22.3 1
3.4%
20.7 1
3.4%
17.3 1
3.4%

2023-04(총질소)
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9758621
Minimum1.2
Maximum9.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:06.310116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.2
5-th percentile1.5
Q12.4
median3.4
Q35.3
95-th percentile8
Maximum9.5
Range8.3
Interquartile range (IQR)2.9

Descriptive statistics

Standard deviation2.2347348
Coefficient of variation (CV)0.56207552
Kurtosis-0.034604456
Mean3.9758621
Median Absolute Deviation (MAD)1.4
Skewness0.90929498
Sum115.3
Variance4.9940394
MonotonicityNot monotonic
2024-03-15T11:22:06.651937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
2.4 2
 
6.9%
1.5 2
 
6.9%
4.9 2
 
6.9%
3.4 2
 
6.9%
2.6 2
 
6.9%
2.1 1
 
3.4%
6.8 1
 
3.4%
2.5 1
 
3.4%
1.2 1
 
3.4%
2.9 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
1.2 1
3.4%
1.5 2
6.9%
1.7 1
3.4%
2.0 1
3.4%
2.1 1
3.4%
2.2 1
3.4%
2.4 2
6.9%
2.5 1
3.4%
2.6 2
6.9%
2.9 1
3.4%
ValueCountFrequency (%)
9.5 1
3.4%
8.4 1
3.4%
7.4 1
3.4%
7.1 1
3.4%
6.8 1
3.4%
6.0 1
3.4%
5.8 1
3.4%
5.3 1
3.4%
4.9 2
6.9%
4.1 1
3.4%

2023-04(총인)
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2797931
Minimum0.013
Maximum1.682
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:06.870393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.013
5-th percentile0.0304
Q10.077
median0.159
Q30.301
95-th percentile0.8908
Maximum1.682
Range1.669
Interquartile range (IQR)0.224

Descriptive statistics

Standard deviation0.35467987
Coefficient of variation (CV)1.2676505
Kurtosis8.3944497
Mean0.2797931
Median Absolute Deviation (MAD)0.099
Skewness2.6985738
Sum8.114
Variance0.12579781
MonotonicityNot monotonic
2024-03-15T11:22:07.310937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.062 1
 
3.4%
0.031 1
 
3.4%
0.159 1
 
3.4%
0.077 1
 
3.4%
0.276 1
 
3.4%
0.357 1
 
3.4%
0.095 1
 
3.4%
0.262 1
 
3.4%
0.169 1
 
3.4%
0.946 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
0.013 1
3.4%
0.03 1
3.4%
0.031 1
3.4%
0.051 1
3.4%
0.06 1
3.4%
0.062 1
3.4%
0.064 1
3.4%
0.077 1
3.4%
0.083 1
3.4%
0.095 1
3.4%
ValueCountFrequency (%)
1.682 1
3.4%
0.946 1
3.4%
0.808 1
3.4%
0.692 1
3.4%
0.407 1
3.4%
0.357 1
3.4%
0.328 1
3.4%
0.301 1
3.4%
0.276 1
3.4%
0.262 1
3.4%

2023-05(생물화학적산소요구량)
Real number (ℝ)

Distinct26
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9827586
Minimum0.3
Maximum76.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:07.635860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.44
Q11.3
median3.2
Q37
95-th percentile33.66
Maximum76.1
Range75.8
Interquartile range (IQR)5.7

Descriptive statistics

Standard deviation15.724323
Coefficient of variation (CV)1.9697856
Kurtosis13.887116
Mean7.9827586
Median Absolute Deviation (MAD)2.3
Skewness3.6490655
Sum231.5
Variance247.25433
MonotonicityNot monotonic
2024-03-15T11:22:08.044499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
3.3 2
 
6.9%
0.9 2
 
6.9%
3.1 2
 
6.9%
0.6 1
 
3.4%
76.1 1
 
3.4%
3.2 1
 
3.4%
8.4 1
 
3.4%
3.7 1
 
3.4%
5.4 1
 
3.4%
13.0 1
 
3.4%
Other values (16) 16
55.2%
ValueCountFrequency (%)
0.3 1
3.4%
0.4 1
3.4%
0.5 1
3.4%
0.6 1
3.4%
0.9 2
6.9%
1.2 1
3.4%
1.3 1
3.4%
1.4 1
3.4%
1.6 1
3.4%
2.3 1
3.4%
ValueCountFrequency (%)
76.1 1
3.4%
46.7 1
3.4%
14.1 1
3.4%
13.0 1
3.4%
8.7 1
3.4%
8.4 1
3.4%
8.2 1
3.4%
7.0 1
3.4%
5.9 1
3.4%
5.4 1
3.4%

2023-05(부유물질량)
Real number (ℝ)

Distinct25
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.27931
Minimum1.3
Maximum143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:08.433950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.3
5-th percentile3.46
Q17
median9.7
Q318.3
95-th percentile47.3
Maximum143
Range141.7
Interquartile range (IQR)11.3

Descriptive statistics

Standard deviation26.557813
Coefficient of variation (CV)1.4528892
Kurtosis18.336679
Mean18.27931
Median Absolute Deviation (MAD)4.7
Skewness4.0170329
Sum530.1
Variance705.31741
MonotonicityNot monotonic
2024-03-15T11:22:08.836640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
7.0 3
 
10.3%
9.7 2
 
6.9%
24.0 2
 
6.9%
20.0 1
 
3.4%
8.3 1
 
3.4%
47.7 1
 
3.4%
4.7 1
 
3.4%
3.3 1
 
3.4%
11.0 1
 
3.4%
46.7 1
 
3.4%
Other values (15) 15
51.7%
ValueCountFrequency (%)
1.3 1
 
3.4%
3.3 1
 
3.4%
3.7 1
 
3.4%
4.7 1
 
3.4%
5.0 1
 
3.4%
6.7 1
 
3.4%
7.0 3
10.3%
8.0 1
 
3.4%
8.3 1
 
3.4%
8.7 1
 
3.4%
ValueCountFrequency (%)
143.0 1
3.4%
47.7 1
3.4%
46.7 1
3.4%
29.0 1
3.4%
24.0 2
6.9%
20.0 1
3.4%
18.3 1
3.4%
17.0 1
3.4%
16.3 1
3.4%
12.0 1
3.4%

2023-05(총질소)
Real number (ℝ)

Distinct25
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6965517
Minimum0.9
Maximum8.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:09.169046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.9
5-th percentile1.24
Q11.8
median3.3
Q34.8
95-th percentile8.18
Maximum8.6
Range7.7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.3017823
Coefficient of variation (CV)0.62268366
Kurtosis-0.31081218
Mean3.6965517
Median Absolute Deviation (MAD)1.5
Skewness0.77960615
Sum107.2
Variance5.298202
MonotonicityNot monotonic
2024-03-15T11:22:09.390076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1.3 3
 
10.3%
5.1 2
 
6.9%
4.8 2
 
6.9%
1.2 1
 
3.4%
6.0 1
 
3.4%
3.0 1
 
3.4%
1.8 1
 
3.4%
2.2 1
 
3.4%
4.3 1
 
3.4%
2.0 1
 
3.4%
Other values (15) 15
51.7%
ValueCountFrequency (%)
0.9 1
 
3.4%
1.2 1
 
3.4%
1.3 3
10.3%
1.4 1
 
3.4%
1.6 1
 
3.4%
1.8 1
 
3.4%
1.9 1
 
3.4%
2.0 1
 
3.4%
2.2 1
 
3.4%
2.3 1
 
3.4%
ValueCountFrequency (%)
8.6 1
3.4%
8.5 1
3.4%
7.7 1
3.4%
7.6 1
3.4%
6.0 1
3.4%
5.1 2
6.9%
4.8 2
6.9%
4.4 1
3.4%
4.3 1
3.4%
4.2 1
3.4%

2023-05(총인)
Real number (ℝ)

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.20851724
Minimum0.009
Maximum1.141
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:09.834529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.009
5-th percentile0.0228
Q10.065
median0.14
Q30.276
95-th percentile0.5384
Maximum1.141
Range1.132
Interquartile range (IQR)0.211

Descriptive statistics

Standard deviation0.22777254
Coefficient of variation (CV)1.0923439
Kurtosis9.7246799
Mean0.20851724
Median Absolute Deviation (MAD)0.089
Skewness2.7523356
Sum6.047
Variance0.05188033
MonotonicityNot monotonic
2024-03-15T11:22:10.246501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.333 2
 
6.9%
0.02 1
 
3.4%
0.223 1
 
3.4%
0.157 1
 
3.4%
0.216 1
 
3.4%
0.276 1
 
3.4%
0.221 1
 
3.4%
0.278 1
 
3.4%
0.051 1
 
3.4%
0.065 1
 
3.4%
Other values (18) 18
62.1%
ValueCountFrequency (%)
0.009 1
3.4%
0.02 1
3.4%
0.027 1
3.4%
0.031 1
3.4%
0.044 1
3.4%
0.051 1
3.4%
0.055 1
3.4%
0.065 1
3.4%
0.085 1
3.4%
0.09 1
3.4%
ValueCountFrequency (%)
1.141 1
3.4%
0.618 1
3.4%
0.419 1
3.4%
0.352 1
3.4%
0.333 2
6.9%
0.278 1
3.4%
0.276 1
3.4%
0.238 1
3.4%
0.223 1
3.4%
0.221 1
3.4%

2023-06(생물화학적산소요구량)
Real number (ℝ)

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1827586
Minimum0.7
Maximum16.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:10.624150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.7
5-th percentile1.1
Q11.7
median2.9
Q34.6
95-th percentile11.24
Maximum16.9
Range16.2
Interquartile range (IQR)2.9

Descriptive statistics

Standard deviation3.8608908
Coefficient of variation (CV)0.92304892
Kurtosis3.2491885
Mean4.1827586
Median Absolute Deviation (MAD)1.2
Skewness1.8353753
Sum121.3
Variance14.906478
MonotonicityNot monotonic
2024-03-15T11:22:11.036332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
3.1 3
 
10.3%
1.7 3
 
10.3%
1.1 2
 
6.9%
1.9 2
 
6.9%
2.9 1
 
3.4%
4.6 1
 
3.4%
9.5 1
 
3.4%
3.2 1
 
3.4%
10.1 1
 
3.4%
12.0 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
0.7 1
 
3.4%
1.1 2
6.9%
1.2 1
 
3.4%
1.3 1
 
3.4%
1.5 1
 
3.4%
1.7 3
10.3%
1.9 2
6.9%
2.3 1
 
3.4%
2.7 1
 
3.4%
2.8 1
 
3.4%
ValueCountFrequency (%)
16.9 1
3.4%
12.0 1
3.4%
10.1 1
3.4%
9.5 1
3.4%
8.7 1
3.4%
6.9 1
3.4%
6.3 1
3.4%
4.6 1
3.4%
3.7 1
3.4%
3.6 1
3.4%

2023-06(부유물질량)
Real number (ℝ)

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.458621
Minimum2.3
Maximum32.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:11.413302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.3
5-th percentile2.7
Q16.3
median9.3
Q315.3
95-th percentile25.6
Maximum32.7
Range30.4
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.7348246
Coefficient of variation (CV)0.67502231
Kurtosis0.86247883
Mean11.458621
Median Absolute Deviation (MAD)3.4
Skewness1.1617802
Sum332.3
Variance59.827512
MonotonicityNot monotonic
2024-03-15T11:22:11.788106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
6.3 4
 
13.8%
8.7 2
 
6.9%
2.7 2
 
6.9%
11.3 2
 
6.9%
15.7 1
 
3.4%
15.3 1
 
3.4%
12.3 1
 
3.4%
6.0 1
 
3.4%
9.7 1
 
3.4%
4.3 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
2.3 1
 
3.4%
2.7 2
6.9%
4.3 1
 
3.4%
4.7 1
 
3.4%
5.0 1
 
3.4%
6.0 1
 
3.4%
6.3 4
13.8%
8.3 1
 
3.4%
8.7 2
6.9%
9.3 1
 
3.4%
ValueCountFrequency (%)
32.7 1
3.4%
26.0 1
3.4%
25.0 1
3.4%
24.0 1
3.4%
18.7 1
3.4%
17.7 1
3.4%
15.7 1
3.4%
15.3 1
3.4%
12.7 1
3.4%
12.3 1
3.4%

2023-06(총질소)
Real number (ℝ)

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6341379
Minimum1.17
Maximum5.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:12.167268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.17
5-th percentile1.404
Q11.72
median2.08
Q33.17
95-th percentile5.34
Maximum5.92
Range4.75
Interquartile range (IQR)1.45

Descriptive statistics

Standard deviation1.2523108
Coefficient of variation (CV)0.47541579
Kurtosis1.0304904
Mean2.6341379
Median Absolute Deviation (MAD)0.67
Skewness1.2242981
Sum76.39
Variance1.5682823
MonotonicityNot monotonic
2024-03-15T11:22:12.613155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
2.08 2
 
6.9%
1.17 1
 
3.4%
3.17 1
 
3.4%
1.99 1
 
3.4%
1.96 1
 
3.4%
1.5 1
 
3.4%
3.13 1
 
3.4%
1.72 1
 
3.4%
3.08 1
 
3.4%
5.13 1
 
3.4%
Other values (18) 18
62.1%
ValueCountFrequency (%)
1.17 1
3.4%
1.4 1
3.4%
1.41 1
3.4%
1.48 1
3.4%
1.5 1
3.4%
1.52 1
3.4%
1.55 1
3.4%
1.72 1
3.4%
1.82 1
3.4%
1.85 1
3.4%
ValueCountFrequency (%)
5.92 1
3.4%
5.48 1
3.4%
5.13 1
3.4%
3.98 1
3.4%
3.56 1
3.4%
3.34 1
3.4%
3.2 1
3.4%
3.17 1
3.4%
3.13 1
3.4%
3.08 1
3.4%

2023-06(총인)
Real number (ℝ)

Distinct25
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06937931
Minimum0.008
Maximum0.282
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:13.081376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.008
5-th percentile0.012
Q10.022
median0.064
Q30.1
95-th percentile0.1266
Maximum0.282
Range0.274
Interquartile range (IQR)0.078

Descriptive statistics

Standard deviation0.056453782
Coefficient of variation (CV)0.81369766
Kurtosis6.0402689
Mean0.06937931
Median Absolute Deviation (MAD)0.039
Skewness1.9042954
Sum2.012
Variance0.0031870296
MonotonicityNot monotonic
2024-03-15T11:22:13.510660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.012 2
 
6.9%
0.02 2
 
6.9%
0.115 2
 
6.9%
0.08 2
 
6.9%
0.084 1
 
3.4%
0.031 1
 
3.4%
0.064 1
 
3.4%
0.055 1
 
3.4%
0.123 1
 
3.4%
0.071 1
 
3.4%
Other values (15) 15
51.7%
ValueCountFrequency (%)
0.008 1
3.4%
0.012 2
6.9%
0.013 1
3.4%
0.02 2
6.9%
0.021 1
3.4%
0.022 1
3.4%
0.03 1
3.4%
0.031 1
3.4%
0.034 1
3.4%
0.05 1
3.4%
ValueCountFrequency (%)
0.282 1
3.4%
0.129 1
3.4%
0.123 1
3.4%
0.115 2
6.9%
0.114 1
3.4%
0.103 1
3.4%
0.1 1
3.4%
0.099 1
3.4%
0.084 1
3.4%
0.08 2
6.9%

2023-07(생물화학적산소요구량)
Real number (ℝ)

Distinct27
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3137931
Minimum0.4
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:13.919273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.4
5-th percentile0.54
Q11
median1.9
Q33.4
95-th percentile4.72
Maximum5
Range4.6
Interquartile range (IQR)2.4

Descriptive statistics

Standard deviation1.4319627
Coefficient of variation (CV)0.61888106
Kurtosis-1.1106266
Mean2.3137931
Median Absolute Deviation (MAD)1.1
Skewness0.44833739
Sum67.1
Variance2.0505172
MonotonicityNot monotonic
2024-03-15T11:22:14.394217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1.0 3
 
10.3%
0.9 1
 
3.4%
3.8 1
 
3.4%
5.0 1
 
3.4%
1.4 1
 
3.4%
2.5 1
 
3.4%
1.9 1
 
3.4%
3.4 1
 
3.4%
1.7 1
 
3.4%
3.3 1
 
3.4%
Other values (17) 17
58.6%
ValueCountFrequency (%)
0.4 1
 
3.4%
0.5 1
 
3.4%
0.6 1
 
3.4%
0.8 1
 
3.4%
0.9 1
 
3.4%
1.0 3
10.3%
1.2 1
 
3.4%
1.3 1
 
3.4%
1.4 1
 
3.4%
1.5 1
 
3.4%
ValueCountFrequency (%)
5.0 1
3.4%
4.8 1
3.4%
4.6 1
3.4%
4.5 1
3.4%
3.9 1
3.4%
3.8 1
3.4%
3.6 1
3.4%
3.4 1
3.4%
3.3 1
3.4%
3.2 1
3.4%

2023-07(부유물질량)
Real number (ℝ)

Distinct22
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.255172
Minimum0.7
Maximum75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:14.772928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.7
5-th percentile0.82
Q12.7
median4.3
Q38
95-th percentile54.98
Maximum75
Range74.3
Interquartile range (IQR)5.3

Descriptive statistics

Standard deviation18.520001
Coefficient of variation (CV)1.6454657
Kurtosis5.9645091
Mean11.255172
Median Absolute Deviation (MAD)2.7
Skewness2.5611542
Sum326.4
Variance342.99042
MonotonicityNot monotonic
2024-03-15T11:22:15.200002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1.0 3
 
10.3%
3.7 3
 
10.3%
0.7 2
 
6.9%
5.7 2
 
6.9%
3.0 2
 
6.9%
9.7 1
 
3.4%
13.3 1
 
3.4%
12.3 1
 
3.4%
6.0 1
 
3.4%
2.7 1
 
3.4%
Other values (12) 12
41.4%
ValueCountFrequency (%)
0.7 2
6.9%
1.0 3
10.3%
1.3 1
 
3.4%
2.0 1
 
3.4%
2.7 1
 
3.4%
3.0 2
6.9%
3.3 1
 
3.4%
3.7 3
10.3%
4.3 1
 
3.4%
4.7 1
 
3.4%
ValueCountFrequency (%)
75.0 1
3.4%
62.3 1
3.4%
44.0 1
3.4%
32.3 1
3.4%
13.3 1
3.4%
12.3 1
3.4%
9.7 1
3.4%
8.0 1
3.4%
7.0 1
3.4%
6.0 1
3.4%

2023-07(총질소)
Real number (ℝ)

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7793103
Minimum0.7
Maximum5.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:15.627507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.7
5-th percentile1.336
Q11.95
median2.49
Q33.34
95-th percentile5.356
Maximum5.37
Range4.67
Interquartile range (IQR)1.39

Descriptive statistics

Standard deviation1.2292882
Coefficient of variation (CV)0.44229973
Kurtosis0.16662544
Mean2.7793103
Median Absolute Deviation (MAD)0.64
Skewness0.83855546
Sum80.6
Variance1.5111495
MonotonicityNot monotonic
2024-03-15T11:22:16.040562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1.85 2
 
6.9%
5.37 1
 
3.4%
2.49 1
 
3.4%
0.7 1
 
3.4%
2.11 1
 
3.4%
2.84 1
 
3.4%
1.96 1
 
3.4%
1.95 1
 
3.4%
1.63 1
 
3.4%
4.37 1
 
3.4%
Other values (18) 18
62.1%
ValueCountFrequency (%)
0.7 1
3.4%
1.14 1
3.4%
1.63 1
3.4%
1.74 1
3.4%
1.75 1
3.4%
1.85 2
6.9%
1.95 1
3.4%
1.96 1
3.4%
2.11 1
3.4%
2.17 1
3.4%
ValueCountFrequency (%)
5.37 1
3.4%
5.36 1
3.4%
5.35 1
3.4%
4.48 1
3.4%
4.37 1
3.4%
3.53 1
3.4%
3.45 1
3.4%
3.34 1
3.4%
3.18 1
3.4%
3.0 1
3.4%

2023-07(총인)
Real number (ℝ)

Distinct25
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.055758621
Minimum0.006
Maximum0.113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:16.439728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.006
5-th percentile0.007
Q10.024
median0.054
Q30.09
95-th percentile0.1042
Maximum0.113
Range0.107
Interquartile range (IQR)0.066

Descriptive statistics

Standard deviation0.03670019
Coefficient of variation (CV)0.65819759
Kurtosis-1.6521988
Mean0.055758621
Median Absolute Deviation (MAD)0.034
Skewness0.051862032
Sum1.617
Variance0.0013469039
MonotonicityNot monotonic
2024-03-15T11:22:16.947253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.007 2
 
6.9%
0.027 2
 
6.9%
0.087 2
 
6.9%
0.09 2
 
6.9%
0.099 1
 
3.4%
0.024 1
 
3.4%
0.036 1
 
3.4%
0.045 1
 
3.4%
0.085 1
 
3.4%
0.033 1
 
3.4%
Other values (15) 15
51.7%
ValueCountFrequency (%)
0.006 1
3.4%
0.007 2
6.9%
0.01 1
3.4%
0.014 1
3.4%
0.015 1
3.4%
0.02 1
3.4%
0.024 1
3.4%
0.027 2
6.9%
0.029 1
3.4%
0.033 1
3.4%
ValueCountFrequency (%)
0.113 1
3.4%
0.105 1
3.4%
0.103 1
3.4%
0.101 1
3.4%
0.099 1
3.4%
0.093 1
3.4%
0.09 2
6.9%
0.087 2
6.9%
0.085 1
3.4%
0.079 1
3.4%

2023-08(생물화학적산소요구량)
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9896552
Minimum0.1
Maximum5.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:17.197500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.4
Q11
median1.7
Q32.6
95-th percentile4.58
Maximum5.8
Range5.7
Interquartile range (IQR)1.6

Descriptive statistics

Standard deviation1.4165715
Coefficient of variation (CV)0.71196836
Kurtosis0.55191293
Mean1.9896552
Median Absolute Deviation (MAD)0.8
Skewness0.89357011
Sum57.7
Variance2.0066749
MonotonicityNot monotonic
2024-03-15T11:22:17.421559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.4 4
 
13.8%
2.4 4
 
13.8%
1.1 2
 
6.9%
1.0 2
 
6.9%
3.4 1
 
3.4%
2.6 1
 
3.4%
2.9 1
 
3.4%
1.2 1
 
3.4%
1.6 1
 
3.4%
3.3 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.1 1
 
3.4%
0.4 4
13.8%
0.6 1
 
3.4%
0.9 1
 
3.4%
1.0 2
6.9%
1.1 2
6.9%
1.2 1
 
3.4%
1.5 1
 
3.4%
1.6 1
 
3.4%
1.7 1
 
3.4%
ValueCountFrequency (%)
5.8 1
 
3.4%
4.7 1
 
3.4%
4.4 1
 
3.4%
3.4 1
 
3.4%
3.3 1
 
3.4%
3.1 1
 
3.4%
2.9 1
 
3.4%
2.6 1
 
3.4%
2.5 1
 
3.4%
2.4 4
13.8%

2023-08(부유물질량)
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.058621
Minimum1.3
Maximum68.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:17.630221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.3
5-th percentile1.46
Q13.3
median6.7
Q313.7
95-th percentile22.28
Maximum68.3
Range67
Interquartile range (IQR)10.4

Descriptive statistics

Standard deviation12.681244
Coefficient of variation (CV)1.2607339
Kurtosis16.491901
Mean10.058621
Median Absolute Deviation (MAD)3.4
Skewness3.7062598
Sum291.7
Variance160.81394
MonotonicityNot monotonic
2024-03-15T11:22:17.977567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
3.3 3
 
10.3%
1.3 2
 
6.9%
2.0 2
 
6.9%
7.3 2
 
6.9%
14.0 2
 
6.9%
5.7 2
 
6.9%
16.7 2
 
6.9%
1.7 1
 
3.4%
9.3 1
 
3.4%
10.7 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
1.3 2
6.9%
1.7 1
 
3.4%
2.0 2
6.9%
3.3 3
10.3%
3.7 1
 
3.4%
4.0 1
 
3.4%
5.0 1
 
3.4%
5.3 1
 
3.4%
5.7 2
6.9%
6.7 1
 
3.4%
ValueCountFrequency (%)
68.3 1
3.4%
24.0 1
3.4%
19.7 1
3.4%
16.7 2
6.9%
14.0 2
6.9%
13.7 1
3.4%
10.7 1
3.4%
9.3 1
3.4%
8.0 1
3.4%
7.7 1
3.4%

2023-08(총질소)
Real number (ℝ)

Distinct26
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6524138
Minimum0.9
Maximum4.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:18.198659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.9
5-th percentile1.364
Q12.05
median2.34
Q33.18
95-th percentile4.342
Maximum4.6
Range3.7
Interquartile range (IQR)1.13

Descriptive statistics

Standard deviation0.91979678
Coefficient of variation (CV)0.34677726
Kurtosis-0.1453794
Mean2.6524138
Median Absolute Deviation (MAD)0.48
Skewness0.46819054
Sum76.92
Variance0.84602611
MonotonicityNot monotonic
2024-03-15T11:22:18.441001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
2.34 3
 
10.3%
2.05 2
 
6.9%
1.97 1
 
3.4%
3.18 1
 
3.4%
2.08 1
 
3.4%
0.9 1
 
3.4%
2.85 1
 
3.4%
2.22 1
 
3.4%
2.59 1
 
3.4%
4.02 1
 
3.4%
Other values (16) 16
55.2%
ValueCountFrequency (%)
0.9 1
3.4%
1.26 1
3.4%
1.52 1
3.4%
1.71 1
3.4%
1.97 1
3.4%
2.03 1
3.4%
2.05 2
6.9%
2.08 1
3.4%
2.22 1
3.4%
2.25 1
3.4%
ValueCountFrequency (%)
4.6 1
3.4%
4.41 1
3.4%
4.24 1
3.4%
4.02 1
3.4%
3.59 1
3.4%
3.5 1
3.4%
3.3 1
3.4%
3.18 1
3.4%
3.1 1
3.4%
2.85 1
3.4%

2023-08(총인)
Real number (ℝ)

Distinct26
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.079068966
Minimum0.009
Maximum0.199
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:18.678994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.009
5-th percentile0.02
Q10.031
median0.074
Q30.115
95-th percentile0.1514
Maximum0.199
Range0.19
Interquartile range (IQR)0.084

Descriptive statistics

Standard deviation0.049646559
Coefficient of variation (CV)0.62788932
Kurtosis-0.55740329
Mean0.079068966
Median Absolute Deviation (MAD)0.043
Skewness0.43951268
Sum2.293
Variance0.0024647808
MonotonicityNot monotonic
2024-03-15T11:22:18.930408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.02 3
 
10.3%
0.096 2
 
6.9%
0.059 1
 
3.4%
0.06 1
 
3.4%
0.025 1
 
3.4%
0.055 1
 
3.4%
0.074 1
 
3.4%
0.056 1
 
3.4%
0.109 1
 
3.4%
0.199 1
 
3.4%
Other values (16) 16
55.2%
ValueCountFrequency (%)
0.009 1
 
3.4%
0.02 3
10.3%
0.024 1
 
3.4%
0.025 1
 
3.4%
0.026 1
 
3.4%
0.031 1
 
3.4%
0.043 1
 
3.4%
0.049 1
 
3.4%
0.055 1
 
3.4%
0.056 1
 
3.4%
ValueCountFrequency (%)
0.199 1
3.4%
0.157 1
3.4%
0.143 1
3.4%
0.131 1
3.4%
0.13 1
3.4%
0.128 1
3.4%
0.124 1
3.4%
0.115 1
3.4%
0.113 1
3.4%
0.109 1
3.4%

2023-09(생물화학적산소요구량)
Real number (ℝ)

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9344828
Minimum0.5
Maximum34.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:19.266182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile0.5
Q10.6
median1.4
Q32.5
95-th percentile5.38
Maximum34.7
Range34.2
Interquartile range (IQR)1.9

Descriptive statistics

Standard deviation6.2796881
Coefficient of variation (CV)2.1399642
Kurtosis25.642211
Mean2.9344828
Median Absolute Deviation (MAD)0.8
Skewness4.944717
Sum85.1
Variance39.434483
MonotonicityNot monotonic
2024-03-15T11:22:19.802162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.6 5
17.2%
0.5 3
 
10.3%
1.4 2
 
6.9%
1.3 2
 
6.9%
0.8 2
 
6.9%
2.5 2
 
6.9%
1.9 1
 
3.4%
1.8 1
 
3.4%
3.4 1
 
3.4%
34.7 1
 
3.4%
Other values (9) 9
31.0%
ValueCountFrequency (%)
0.5 3
10.3%
0.6 5
17.2%
0.7 1
 
3.4%
0.8 2
 
6.9%
1.0 1
 
3.4%
1.3 2
 
6.9%
1.4 2
 
6.9%
1.6 1
 
3.4%
1.8 1
 
3.4%
1.9 1
 
3.4%
ValueCountFrequency (%)
34.7 1
3.4%
5.7 1
3.4%
4.9 1
3.4%
4.6 1
3.4%
4.2 1
3.4%
3.4 1
3.4%
2.5 2
6.9%
2.1 1
3.4%
2.0 1
3.4%
1.9 1
3.4%

2023-09(부유물질량)
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.062069
Minimum0
Maximum33.7
Zeros1
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:20.039543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.46
Q13
median4.7
Q39.3
95-th percentile17.6
Maximum33.7
Range33.7
Interquartile range (IQR)6.3

Descriptive statistics

Standard deviation7.0307698
Coefficient of variation (CV)0.99556799
Kurtosis6.5823508
Mean7.062069
Median Absolute Deviation (MAD)3
Skewness2.2520054
Sum204.8
Variance49.431724
MonotonicityNot monotonic
2024-03-15T11:22:20.399230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
4.3 3
 
10.3%
3.7 2
 
6.9%
4.7 2
 
6.9%
13.0 2
 
6.9%
3.0 2
 
6.9%
2.7 1
 
3.4%
20.0 1
 
3.4%
5.3 1
 
3.4%
0.0 1
 
3.4%
0.3 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
0.0 1
 
3.4%
0.3 1
 
3.4%
0.7 1
 
3.4%
1.0 1
 
3.4%
1.7 1
 
3.4%
2.7 1
 
3.4%
3.0 2
6.9%
3.3 1
 
3.4%
3.7 2
6.9%
4.3 3
10.3%
ValueCountFrequency (%)
33.7 1
3.4%
20.0 1
3.4%
14.0 1
3.4%
13.7 1
3.4%
13.0 2
6.9%
9.7 1
3.4%
9.3 1
3.4%
8.3 1
3.4%
7.7 1
3.4%
6.0 1
3.4%

2023-09(총질소)
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.922069
Minimum0.5
Maximum6.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:20.731945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile1.328
Q12.24
median2.68
Q33.19
95-th percentile5.882
Maximum6.1
Range5.6
Interquartile range (IQR)0.95

Descriptive statistics

Standard deviation1.4014798
Coefficient of variation (CV)0.47961899
Kurtosis0.50278745
Mean2.922069
Median Absolute Deviation (MAD)0.51
Skewness0.9517609
Sum84.74
Variance1.9641456
MonotonicityNot monotonic
2024-03-15T11:22:20.955980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1.84 1
 
3.4%
2.54 1
 
3.4%
2.79 1
 
3.4%
0.5 1
 
3.4%
2.24 1
 
3.4%
2.96 1
 
3.4%
2.29 1
 
3.4%
2.25 1
 
3.4%
1.71 1
 
3.4%
4.84 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
0.5 1
3.4%
1.14 1
3.4%
1.61 1
3.4%
1.62 1
3.4%
1.71 1
3.4%
1.84 1
3.4%
1.93 1
3.4%
2.24 1
3.4%
2.25 1
3.4%
2.29 1
3.4%
ValueCountFrequency (%)
6.1 1
3.4%
6.09 1
3.4%
5.57 1
3.4%
4.84 1
3.4%
4.76 1
3.4%
4.26 1
3.4%
3.35 1
3.4%
3.19 1
3.4%
3.08 1
3.4%
2.96 1
3.4%

2023-09(총인)
Real number (ℝ)

Distinct27
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.069068966
Minimum0.005
Maximum0.201
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:21.181127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.005
5-th percentile0.0058
Q10.022
median0.061
Q30.095
95-th percentile0.178
Maximum0.201
Range0.196
Interquartile range (IQR)0.073

Descriptive statistics

Standard deviation0.054422902
Coefficient of variation (CV)0.78795015
Kurtosis0.25977646
Mean0.069068966
Median Absolute Deviation (MAD)0.039
Skewness0.91803373
Sum2.003
Variance0.0029618522
MonotonicityNot monotonic
2024-03-15T11:22:21.517277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.022 2
 
6.9%
0.005 2
 
6.9%
0.007 1
 
3.4%
0.093 1
 
3.4%
0.035 1
 
3.4%
0.02 1
 
3.4%
0.07 1
 
3.4%
0.172 1
 
3.4%
0.047 1
 
3.4%
0.059 1
 
3.4%
Other values (17) 17
58.6%
ValueCountFrequency (%)
0.005 2
6.9%
0.007 1
3.4%
0.009 1
3.4%
0.013 1
3.4%
0.02 1
3.4%
0.022 2
6.9%
0.027 1
3.4%
0.035 1
3.4%
0.039 1
3.4%
0.047 1
3.4%
ValueCountFrequency (%)
0.201 1
3.4%
0.182 1
3.4%
0.172 1
3.4%
0.148 1
3.4%
0.108 1
3.4%
0.107 1
3.4%
0.1 1
3.4%
0.095 1
3.4%
0.093 1
3.4%
0.088 1
3.4%

2023-10(생물화학적산소요구량)
Real number (ℝ)

Distinct22
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6034483
Minimum0.9
Maximum21.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:21.777085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.9
5-th percentile1.18
Q11.6
median3
Q35.8
95-th percentile12.32
Maximum21.1
Range20.2
Interquartile range (IQR)4.2

Descriptive statistics

Standard deviation4.4231116
Coefficient of variation (CV)0.96082574
Kurtosis6.3960667
Mean4.6034483
Median Absolute Deviation (MAD)1.6
Skewness2.3298602
Sum133.5
Variance19.563916
MonotonicityNot monotonic
2024-03-15T11:22:22.112247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
3.0 3
 
10.3%
1.3 2
 
6.9%
2.7 2
 
6.9%
1.6 2
 
6.9%
1.4 2
 
6.9%
4.0 2
 
6.9%
8.4 1
 
3.4%
9.8 1
 
3.4%
1.8 1
 
3.4%
5.9 1
 
3.4%
Other values (12) 12
41.4%
ValueCountFrequency (%)
0.9 1
 
3.4%
1.1 1
 
3.4%
1.3 2
6.9%
1.4 2
6.9%
1.6 2
6.9%
1.8 1
 
3.4%
2.1 1
 
3.4%
2.7 2
6.9%
3.0 3
10.3%
3.4 1
 
3.4%
ValueCountFrequency (%)
21.1 1
3.4%
14.0 1
3.4%
9.8 1
3.4%
9.0 1
3.4%
8.4 1
3.4%
6.4 1
3.4%
5.9 1
3.4%
5.8 1
3.4%
5.5 1
3.4%
4.0 2
6.9%

2023-10(부유물질량)
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.6206897
Minimum0.3
Maximum58.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:22.431188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.7
Q13
median4.7
Q312.5
95-th percentile24
Maximum58.5
Range58.2
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation11.737406
Coefficient of variation (CV)1.2200171
Kurtosis10.327601
Mean9.6206897
Median Absolute Deviation (MAD)3.6
Skewness2.8411867
Sum279
Variance137.7667
MonotonicityNot monotonic
2024-03-15T11:22:22.822217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
10.0 2
 
6.9%
4.7 2
 
6.9%
0.7 2
 
6.9%
3.0 2
 
6.9%
3.7 2
 
6.9%
4.0 1
 
3.4%
12.5 1
 
3.4%
9.3 1
 
3.4%
21.3 1
 
3.4%
6.7 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
0.3 1
3.4%
0.7 2
6.9%
1.3 1
3.4%
1.7 1
3.4%
2.0 1
3.4%
3.0 2
6.9%
3.3 1
3.4%
3.7 2
6.9%
4.0 1
3.4%
4.3 1
3.4%
ValueCountFrequency (%)
58.5 1
3.4%
25.0 1
3.4%
22.5 1
3.4%
21.3 1
3.4%
19.5 1
3.4%
16.0 1
3.4%
13.0 1
3.4%
12.5 1
3.4%
10.0 2
6.9%
9.3 1
3.4%

2023-10(총질소)
Real number (ℝ)

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2665517
Minimum1.27
Maximum6.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:23.192223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.27
5-th percentile1.686
Q12.29
median3.27
Q33.65
95-th percentile6.288
Maximum6.77
Range5.5
Interquartile range (IQR)1.36

Descriptive statistics

Standard deviation1.3447073
Coefficient of variation (CV)0.41165957
Kurtosis1.5079329
Mean3.2665517
Median Absolute Deviation (MAD)0.7
Skewness1.1643886
Sum94.73
Variance1.8082377
MonotonicityNot monotonic
2024-03-15T11:22:23.474343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
3.65 2
 
6.9%
2.07 1
 
3.4%
6.77 1
 
3.4%
2.71 1
 
3.4%
2.05 1
 
3.4%
3.74 1
 
3.4%
3.43 1
 
3.4%
2.02 1
 
3.4%
3.48 1
 
3.4%
1.83 1
 
3.4%
Other values (18) 18
62.1%
ValueCountFrequency (%)
1.27 1
3.4%
1.59 1
3.4%
1.83 1
3.4%
1.88 1
3.4%
2.02 1
3.4%
2.05 1
3.4%
2.07 1
3.4%
2.29 1
3.4%
2.52 1
3.4%
2.57 1
3.4%
ValueCountFrequency (%)
6.77 1
3.4%
6.58 1
3.4%
5.85 1
3.4%
4.55 1
3.4%
4.05 1
3.4%
3.74 1
3.4%
3.65 2
6.9%
3.54 1
3.4%
3.48 1
3.4%
3.43 1
3.4%

2023-10(총인)
Real number (ℝ)

Distinct26
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.078758621
Minimum0.007
Maximum0.473
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:23.845178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.007
5-th percentile0.0092
Q10.035
median0.073
Q30.094
95-th percentile0.1274
Maximum0.473
Range0.466
Interquartile range (IQR)0.059

Descriptive statistics

Standard deviation0.083752038
Coefficient of variation (CV)1.0634015
Kurtosis18.502582
Mean0.078758621
Median Absolute Deviation (MAD)0.032
Skewness3.8962715
Sum2.284
Variance0.0070144039
MonotonicityNot monotonic
2024-03-15T11:22:24.249516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.039 2
 
6.9%
0.035 2
 
6.9%
0.081 2
 
6.9%
0.008 1
 
3.4%
0.07 1
 
3.4%
0.049 1
 
3.4%
0.069 1
 
3.4%
0.129 1
 
3.4%
0.032 1
 
3.4%
0.121 1
 
3.4%
Other values (16) 16
55.2%
ValueCountFrequency (%)
0.007 1
3.4%
0.008 1
3.4%
0.011 1
3.4%
0.014 1
3.4%
0.02 1
3.4%
0.032 1
3.4%
0.035 2
6.9%
0.039 2
6.9%
0.049 1
3.4%
0.062 1
3.4%
ValueCountFrequency (%)
0.473 1
3.4%
0.129 1
3.4%
0.125 1
3.4%
0.121 1
3.4%
0.105 1
3.4%
0.096 1
3.4%
0.095 1
3.4%
0.094 1
3.4%
0.087 1
3.4%
0.082 1
3.4%

2023-11(생물화학적산소요구량)
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7931034
Minimum0.8
Maximum27.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:24.673648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.8
5-th percentile0.84
Q11.3
median2.2
Q34.4
95-th percentile7.22
Maximum27.8
Range27
Interquartile range (IQR)3.1

Descriptive statistics

Standard deviation5.0146166
Coefficient of variation (CV)1.3220353
Kurtosis19.965076
Mean3.7931034
Median Absolute Deviation (MAD)1.2
Skewness4.16955
Sum110
Variance25.146379
MonotonicityNot monotonic
2024-03-15T11:22:25.169201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1.1 2
 
6.9%
0.8 2
 
6.9%
4.4 2
 
6.9%
1.6 2
 
6.9%
2.2 2
 
6.9%
1.7 1
 
3.4%
3.5 1
 
3.4%
2.4 1
 
3.4%
3.3 1
 
3.4%
2.0 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
0.8 2
6.9%
0.9 1
3.4%
1.0 1
3.4%
1.1 2
6.9%
1.2 1
3.4%
1.3 1
3.4%
1.4 1
3.4%
1.6 2
6.9%
1.7 1
3.4%
2.0 1
3.4%
ValueCountFrequency (%)
27.8 1
3.4%
7.7 1
3.4%
6.5 1
3.4%
6.1 1
3.4%
5.7 1
3.4%
5.3 1
3.4%
4.6 1
3.4%
4.4 2
6.9%
4.3 1
3.4%
3.5 1
3.4%

2023-11(부유물질량)
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.055172
Minimum1.3
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:25.604973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.3
5-th percentile1.82
Q13.7
median6.7
Q310.7
95-th percentile32.8
Maximum79
Range77.7
Interquartile range (IQR)7

Descriptive statistics

Standard deviation15.494736
Coefficient of variation (CV)1.4015825
Kurtosis13.424416
Mean11.055172
Median Absolute Deviation (MAD)3.6
Skewness3.3909007
Sum320.6
Variance240.08685
MonotonicityNot monotonic
2024-03-15T11:22:26.057101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
4.3 3
 
10.3%
7.0 2
 
6.9%
2.3 2
 
6.9%
6.7 2
 
6.9%
2.7 1
 
3.4%
13.0 1
 
3.4%
7.3 1
 
3.4%
11.0 1
 
3.4%
19.7 1
 
3.4%
2.0 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
1.3 1
 
3.4%
1.7 1
 
3.4%
2.0 1
 
3.4%
2.3 2
6.9%
2.7 1
 
3.4%
3.3 1
 
3.4%
3.7 1
 
3.4%
4.0 1
 
3.4%
4.3 3
10.3%
4.7 1
 
3.4%
ValueCountFrequency (%)
79.0 1
3.4%
35.0 1
3.4%
29.5 1
3.4%
23.5 1
3.4%
19.7 1
3.4%
13.0 1
3.4%
11.0 1
3.4%
10.7 1
3.4%
10.3 1
3.4%
8.3 1
3.4%

2023-11(총질소)
Real number (ℝ)

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8313793
Minimum0.2
Maximum8.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:26.517062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile1.646
Q12.56
median3.57
Q34.85
95-th percentile6.61
Maximum8.76
Range8.56
Interquartile range (IQR)2.29

Descriptive statistics

Standard deviation1.7740223
Coefficient of variation (CV)0.46302445
Kurtosis1.0359975
Mean3.8313793
Median Absolute Deviation (MAD)1.26
Skewness0.6133822
Sum111.11
Variance3.1471552
MonotonicityNot monotonic
2024-03-15T11:22:26.888738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
4.85 2
 
6.9%
2.56 1
 
3.4%
4.41 1
 
3.4%
3.02 1
 
3.4%
0.2 1
 
3.4%
4.99 1
 
3.4%
5.06 1
 
3.4%
2.18 1
 
3.4%
2.31 1
 
3.4%
1.73 1
 
3.4%
Other values (18) 18
62.1%
ValueCountFrequency (%)
0.2 1
3.4%
1.59 1
3.4%
1.73 1
3.4%
2.18 1
3.4%
2.2 1
3.4%
2.31 1
3.4%
2.36 1
3.4%
2.56 1
3.4%
2.99 1
3.4%
3.01 1
3.4%
ValueCountFrequency (%)
8.76 1
3.4%
6.87 1
3.4%
6.22 1
3.4%
5.88 1
3.4%
5.06 1
3.4%
4.99 1
3.4%
4.96 1
3.4%
4.85 2
6.9%
4.6 1
3.4%
4.41 1
3.4%

2023-11(총인)
Real number (ℝ)

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.095241379
Minimum0.006
Maximum0.902
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T11:22:27.281872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.006
5-th percentile0.0078
Q10.025
median0.05
Q30.092
95-th percentile0.2416
Maximum0.902
Range0.896
Interquartile range (IQR)0.067

Descriptive statistics

Standard deviation0.16715405
Coefficient of variation (CV)1.755057
Kurtosis20.767686
Mean0.095241379
Median Absolute Deviation (MAD)0.036
Skewness4.3263663
Sum2.762
Variance0.027940475
MonotonicityNot monotonic
2024-03-15T11:22:27.618395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.009 2
 
6.9%
0.007 1
 
3.4%
0.071 1
 
3.4%
0.05 1
 
3.4%
0.011 1
 
3.4%
0.181 1
 
3.4%
0.282 1
 
3.4%
0.026 1
 
3.4%
0.057 1
 
3.4%
0.017 1
 
3.4%
Other values (18) 18
62.1%
ValueCountFrequency (%)
0.006 1
3.4%
0.007 1
3.4%
0.009 2
6.9%
0.011 1
3.4%
0.014 1
3.4%
0.017 1
3.4%
0.025 1
3.4%
0.026 1
3.4%
0.033 1
3.4%
0.041 1
3.4%
ValueCountFrequency (%)
0.902 1
3.4%
0.282 1
3.4%
0.181 1
3.4%
0.168 1
3.4%
0.146 1
3.4%
0.098 1
3.4%
0.093 1
3.4%
0.092 1
3.4%
0.09 1
3.4%
0.072 1
3.4%

단위
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size360.0 B
mg/L
29 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowmg/L
2nd rowmg/L
3rd rowmg/L
4th rowmg/L
5th rowmg/L

Common Values

ValueCountFrequency (%)
mg/L 29
100.0%

Length

2024-03-15T11:22:27.985239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T11:22:28.286451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
mg/l 29
100.0%

Sample

연번위치주소2023-03(생물화학적산소요구량)2023-03(부유물질량)2023-03(총질소)2023-03(총인)2023-04(생물화학적산소요구량)2023-04(부유물질량)2023-04(총질소)2023-04(총인)2023-05(생물화학적산소요구량)2023-05(부유물질량)2023-05(총질소)2023-05(총인)2023-06(생물화학적산소요구량)2023-06(부유물질량)2023-06(총질소)2023-06(총인)2023-07(생물화학적산소요구량)2023-07(부유물질량)2023-07(총질소)2023-07(총인)2023-08(생물화학적산소요구량)2023-08(부유물질량)2023-08(총질소)2023-08(총인)2023-09(생물화학적산소요구량)2023-09(부유물질량)2023-09(총질소)2023-09(총인)2023-10(생물화학적산소요구량)2023-10(부유물질량)2023-10(총질소)2023-10(총인)2023-11(생물화학적산소요구량)2023-11(부유물질량)2023-11(총질소)2023-11(총인)단위
01공릉천 상류경기도 고양시 덕양구 선유동 375 (능선교)1.910.01.60.0772.020.72.10.0620.67.01.20.021.18.71.170.0120.91.01.850.0070.41.71.970.020.63.71.840.0071.34.02.070.0081.12.72.560.007mg/L
12공릉천 중류경기도 고양시 덕양구 관산동 358-3 (제2벽제교)1.36.31.80.0391.49.02.00.0311.36.71.30.0311.718.71.410.0081.03.02.190.011.05.02.310.020.53.32.540.0091.43.02.570.0141.110.33.740.009mg/L
23공릉천 하류경기도 고양시 일산동구 지영동 954 (지영교)3.610.72.60.1132.610.72.40.0834.018.31.30.092.712.71.90.0131.03.72.590.020.45.32.640.0315.79.32.730.0222.710.03.370.0391.64.74.10.025mg/L
34창릉천 상류경기도 고양시 덕양구 지축동 312 (북한산교)0.32.71.00.0071.02.71.50.0130.33.70.90.0090.72.31.40.0120.81.01.140.0070.41.31.260.0090.74.31.140.0050.91.71.270.0071.33.31.590.006mg/L
45창릉천 중류경기도 고양시 덕양구 삼송동 348-4 (삼송교)0.63.73.10.0361.35.73.10.0640.511.72.50.0551.312.01.850.0211.00.71.740.0140.42.01.710.0240.60.71.930.0271.44.33.090.0350.82.33.030.033mg/L
56창릉천 하류경기도 고양시 덕양구 화전동 876 (화도교)2.425.73.80.0872.922.34.90.1253.312.05.10.1191.98.73.060.0340.63.32.320.0270.97.72.030.0430.64.72.710.0392.18.33.650.0811.44.34.60.046mg/L
67성사천 상류경기도 고양시 덕양구 성사동 186-1 (별아산천)3.97.33.60.2056.19.74.90.3287.09.04.40.2383.72.73.340.0564.83.04.480.0931.07.34.240.1132.59.74.760.1482.74.73.220.0955.310.74.290.168mg/L
78성사천 하류경기도 고양시 덕양구 행신동 1098 (서정4교, 강매역)1.937.74.30.1411.44.72.20.1431.48.01.90.1146.311.32.820.1140.58.03.180.0871.13.33.590.130.58.33.190.0951.65.33.270.0941.02.33.280.061mg/L
89벽제천 상류경기도 고양시 덕양구 고양동 176-34 (고양2교)1.54.71.50.0241.32.01.70.030.41.31.60.0271.16.31.480.020.41.31.850.0150.11.32.250.0260.51.71.610.0221.60.31.880.020.81.32.360.014mg/L
910벽제천 하류경기도 고양시 덕양구 대자동 119-4 (용복교)1.77.02.20.0652.28.72.60.0512.916.31.40.0441.22.71.820.031.20.72.230.0290.62.02.710.0491.94.32.940.0721.10.72.890.0395.735.03.010.044mg/L
연번위치주소2023-03(생물화학적산소요구량)2023-03(부유물질량)2023-03(총질소)2023-03(총인)2023-04(생물화학적산소요구량)2023-04(부유물질량)2023-04(총질소)2023-04(총인)2023-05(생물화학적산소요구량)2023-05(부유물질량)2023-05(총질소)2023-05(총인)2023-06(생물화학적산소요구량)2023-06(부유물질량)2023-06(총질소)2023-06(총인)2023-07(생물화학적산소요구량)2023-07(부유물질량)2023-07(총질소)2023-07(총인)2023-08(생물화학적산소요구량)2023-08(부유물질량)2023-08(총질소)2023-08(총인)2023-09(생물화학적산소요구량)2023-09(부유물질량)2023-09(총질소)2023-09(총인)2023-10(생물화학적산소요구량)2023-10(부유물질량)2023-10(총질소)2023-10(총인)2023-11(생물화학적산소요구량)2023-11(부유물질량)2023-11(총질소)2023-11(총인)단위
1920행신천 하류경기도 고양시 덕양구 행주외동 475-3(행신천교)2.912.32.50.1925.528.34.00.1613.19.74.10.1598.725.03.560.2822.35.75.350.1013.416.72.820.1431.413.06.090.1083.73.72.290.0962.25.02.990.041mg/L
2021풍동천 상류경기도 고양시 일산동구 풍동 588-1 (미덕원뒤)5.69.32.20.0464.124.02.40.061.2143.02.30.0651.526.02.080.0221.35.72.170.0061.79.32.340.020.63.04.260.0053.425.04.550.0110.91.74.850.009mg/L
2122풍동천 하류경기도 고양시 일산동구 풍동 255-14.920.76.30.6848.59.07.40.9460.946.74.80.3333.632.75.130.1293.362.34.370.1134.768.34.020.0964.233.74.840.1825.816.06.580.4734.43.78.760.902mg/L
2223한산천 상류경기도 고양시 일산서구 덕이동 235-1(한산교)7.49.72.70.1948.810.02.60.16946.79.77.60.05112.04.32.080.0711.71.01.630.0333.33.72.590.1991.64.31.710.0613.62.01.830.0624.67.01.730.017mg/L
2324한산천 중류경기도 고양시 일산서구 덕이동 236-5(메가박스영화관앞,한산교)3.910.72.40.2166.78.02.90.26213.07.02.00.27810.16.33.080.1233.42.71.950.0852.43.32.220.1091.01.02.250.0595.93.33.480.1213.14.32.310.057mg/L
2425한산천 하류경기도 고양시 일산서구 대화동 51-6(합수지점 전, 장월평천 상류)1.712.71.70.1093.38.71.20.0955.411.01.30.2213.29.71.720.0551.96.01.960.0452.46.72.340.0560.80.32.290.0471.30.72.020.0322.02.02.180.026mg/L
2526대화천 상류경기도 고양시 일산서구 대화동 2337 (대화교)6.011.04.30.3187.317.33.40.3573.33.34.30.2763.16.33.130.1152.53.72.840.0871.64.02.850.0742.00.02.960.1721.83.73.430.1293.319.75.060.282mg/L
2627대화천 하류경기도 고양시 일산서구 법곳동 229-1 (이산포교)8.312.04.10.5399.213.03.40.2763.74.72.20.2161.76.01.50.0641.43.72.110.0361.25.72.340.0551.45.32.240.073.06.73.740.0692.411.04.990.181mg/L
2728한류천 상류경기도 고양시 일산동구 장항동 1798-1(연리지교)8.319.32.30.2095.811.31.50.0778.447.71.80.3339.512.31.960.0315.012.30.70.0242.910.70.90.0254.620.00.50.029.821.32.050.0493.57.30.20.011mg/L
2829한류천 하류경기도 고양시 일산서구 대화동 1323-2(킨텍스1교)15.523.06.70.5226.814.02.50.1593.28.33.00.1574.615.31.990.023.813.32.490.0272.614.02.080.062.53.72.790.0354.09.32.710.0354.413.03.020.05mg/L