Overview

Dataset statistics

Number of variables45
Number of observations365
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory143.8 KiB
Average record size in memory403.4 B

Variable types

DateTime1
Categorical19
Numeric25

Alerts

유입수_화학적산소요구량 has constant value ""Constant
방류수_화학적산소요구량 has constant value ""Constant
농축기_유량 has constant value ""Constant
탈수케익_유량 has constant value ""Constant
잉여슬러지_발생량 has constant value ""Constant
농축기_발생량 has constant value ""Constant
탈수기_발생량 has constant value ""Constant
잉여슬러지_반출량 has constant value ""Constant
농축기_반출량 has constant value ""Constant
탈수기_반출량 has constant value ""Constant
잉여슬러지_총황 has constant value ""Constant
농축기_총황 has constant value ""Constant
탈수기_총황 has constant value ""Constant
탈수케익_총황 has constant value ""Constant
잉여슬러지_탈리여액 has constant value ""Constant
농축기_탈리여액 has constant value ""Constant
탈수기_탈리여액 has constant value ""Constant
탈수케익_탈리여액 has constant value ""Constant
일자 has unique valuesUnique
온도 has 8 (2.2%) zerosZeros
탈수케익함수율 has 305 (83.6%) zerosZeros
우수처리량 has 315 (86.3%) zerosZeros
잉여슬러지_유량 has 13 (3.6%) zerosZeros
탈수기_유량 has 22 (6.0%) zerosZeros
탈수케익_발생량 has 24 (6.6%) zerosZeros
탈수케익_반출량 has 57 (15.6%) zerosZeros

Reproduction

Analysis started2024-04-20 18:22:52.065333
Analysis finished2024-04-20 18:22:52.568419
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일자
Date

UNIQUE 

Distinct365
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2022-01-01 00:00:00
Maximum2022-12-31 00:00:00
2024-04-21T03:22:52.757562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:22:53.157197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

날씨
Categorical

Distinct6
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
맑음
228 
비
64 
흐림
48 
눈
 
16
흐림, 비
 
8

Length

Max length5
Median length2
Mean length1.8547945
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row맑음
2nd row눈
3rd row눈
4th row맑음
5th row흐림

Common Values

ValueCountFrequency (%)
맑음 228
62.5%
비 64
 
17.5%
흐림 48
 
13.2%
눈 16
 
4.4%
흐림, 비 8
 
2.2%
흐림, 눈 1
 
0.3%

Length

2024-04-21T03:22:53.451654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:22:53.735214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
맑음 228
61.0%
비 72
 
19.3%
흐림 57
 
15.2%
눈 17
 
4.5%

온도
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.016438
Minimum0
Maximum31
Zeros8
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-21T03:22:54.018939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median14
Q322
95-th percentile27
Maximum31
Range31
Interquartile range (IQR)16

Descriptive statistics

Standard deviation8.559729
Coefficient of variation (CV)0.61069216
Kurtosis-1.2971992
Mean14.016438
Median Absolute Deviation (MAD)8
Skewness0.028615566
Sum5116
Variance73.26896
MonotonicityNot monotonic
2024-04-21T03:22:54.230950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
3 22
 
6.0%
5 22
 
6.0%
20 21
 
5.8%
24 18
 
4.9%
25 16
 
4.4%
13 16
 
4.4%
2 16
 
4.4%
10 15
 
4.1%
23 14
 
3.8%
12 14
 
3.8%
Other values (21) 191
52.3%
ValueCountFrequency (%)
0 8
 
2.2%
1 10
2.7%
2 16
4.4%
3 22
6.0%
4 10
2.7%
5 22
6.0%
6 11
3.0%
7 11
3.0%
8 7
 
1.9%
9 11
3.0%
ValueCountFrequency (%)
31 1
 
0.3%
29 2
 
0.5%
28 9
2.5%
27 12
3.3%
26 13
3.6%
25 16
4.4%
24 18
4.9%
23 14
3.8%
22 9
2.5%
21 6
 
1.6%

유입량
Real number (ℝ)

Distinct344
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100382.53
Minimum79480
Maximum220380
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-21T03:22:54.545132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum79480
5-th percentile82376
Q187510
median94200
Q3101910
95-th percentile152256
Maximum220380
Range140900
Interquartile range (IQR)14400

Descriptive statistics

Standard deviation21737.481
Coefficient of variation (CV)0.21654645
Kurtosis6.8531392
Mean100382.53
Median Absolute Deviation (MAD)6970
Skewness2.471612
Sum36639624
Variance4.7251808 × 108
MonotonicityNot monotonic
2024-04-21T03:22:54.982740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93040 3
 
0.8%
85840 2
 
0.5%
86950 2
 
0.5%
90960 2
 
0.5%
83040 2
 
0.5%
94560 2
 
0.5%
96290 2
 
0.5%
100400 2
 
0.5%
90900 2
 
0.5%
92350 2
 
0.5%
Other values (334) 344
94.2%
ValueCountFrequency (%)
79480 1
0.3%
79540 1
0.3%
80440 1
0.3%
80700 1
0.3%
80750 1
0.3%
81060 1
0.3%
81090 1
0.3%
81170 1
0.3%
81330 1
0.3%
81460 1
0.3%
ValueCountFrequency (%)
220380 1
0.3%
197030 1
0.3%
194930 1
0.3%
187190 1
0.3%
184200 1
0.3%
178900 1
0.3%
178770 1
0.3%
176610 1
0.3%
175310 1
0.3%
166780 1
0.3%

방류량
Real number (ℝ)

Distinct347
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93801.907
Minimum75970
Maximum189140
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-21T03:22:55.586345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum75970
5-th percentile78854
Q182877
median88830
Q396200
95-th percentile133690
Maximum189140
Range113170
Interquartile range (IQR)13323

Descriptive statistics

Standard deviation17905.7
Coefficient of variation (CV)0.19088844
Kurtosis5.8444674
Mean93801.907
Median Absolute Deviation (MAD)6371
Skewness2.3275044
Sum34237696
Variance3.2061408 × 108
MonotonicityNot monotonic
2024-04-21T03:22:55.983417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90390 3
 
0.8%
81870 2
 
0.5%
89340 2
 
0.5%
90710 2
 
0.5%
87810 2
 
0.5%
133690 2
 
0.5%
89160 2
 
0.5%
80110 2
 
0.5%
77110 2
 
0.5%
89110 2
 
0.5%
Other values (337) 344
94.2%
ValueCountFrequency (%)
75970 1
0.3%
76620 1
0.3%
76850 1
0.3%
77100 1
0.3%
77110 2
0.5%
77150 1
0.3%
78020 1
0.3%
78300 1
0.3%
78320 1
0.3%
78455 1
0.3%
ValueCountFrequency (%)
189140 1
0.3%
168320 1
0.3%
165960 1
0.3%
161370 1
0.3%
159410 1
0.3%
159130 1
0.3%
154530 1
0.3%
154380 1
0.3%
154170 1
0.3%
153220 1
0.3%

탈수케익함수율
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.610959
Minimum0
Maximum81.5
Zeros305
Zeros (%)83.6%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-21T03:22:56.389498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile78.96
Maximum81.5
Range81.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.496253
Coefficient of variation (CV)2.259642
Kurtosis1.3513521
Mean12.610959
Median Absolute Deviation (MAD)0
Skewness1.8253881
Sum4603
Variance812.03642
MonotonicityNot monotonic
2024-04-21T03:22:56.840275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0.0 305
83.6%
79.1 6
 
1.6%
78.6 4
 
1.1%
73.7 2
 
0.5%
79.6 2
 
0.5%
73.4 2
 
0.5%
76.9 2
 
0.5%
76.8 2
 
0.5%
79.2 2
 
0.5%
78.8 2
 
0.5%
Other values (36) 36
 
9.9%
ValueCountFrequency (%)
0.0 305
83.6%
70.9 1
 
0.3%
71.1 1
 
0.3%
71.6 1
 
0.3%
72.1 1
 
0.3%
72.2 1
 
0.3%
72.3 1
 
0.3%
72.4 1
 
0.3%
72.5 1
 
0.3%
73.0 1
 
0.3%
ValueCountFrequency (%)
81.5 1
0.3%
80.3 1
0.3%
80.0 1
0.3%
79.9 1
0.3%
79.8 1
0.3%
79.7 1
0.3%
79.6 2
0.5%
79.4 1
0.3%
79.3 1
0.3%
79.2 2
0.5%

우수처리량
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4092.4986
Minimum0
Maximum103000
Zeros315
Zeros (%)86.3%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-21T03:22:57.279611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile32280
Maximum103000
Range103000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14028.2
Coefficient of variation (CV)3.4277837
Kurtosis21.259683
Mean4092.4986
Median Absolute Deviation (MAD)0
Skewness4.3784784
Sum1493762
Variance1.967904 × 108
MonotonicityNot monotonic
2024-04-21T03:22:57.722635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 315
86.3%
37100 2
 
0.5%
3900 1
 
0.3%
67200 1
 
0.3%
60600 1
 
0.3%
54200 1
 
0.3%
42600 1
 
0.3%
27400 1
 
0.3%
15900 1
 
0.3%
17680 1
 
0.3%
Other values (40) 40
 
11.0%
ValueCountFrequency (%)
0 315
86.3%
160 1
 
0.3%
1590 1
 
0.3%
2530 1
 
0.3%
3150 1
 
0.3%
3543 1
 
0.3%
3776 1
 
0.3%
3900 1
 
0.3%
4800 1
 
0.3%
5100 1
 
0.3%
ValueCountFrequency (%)
103000 1
0.3%
100250 1
0.3%
83700 1
0.3%
82800 1
0.3%
67200 1
0.3%
64300 1
0.3%
60600 1
0.3%
58400 1
0.3%
57700 1
0.3%
54200 1
0.3%

유입수_수소농도
Real number (ℝ)

Distinct13
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1994521
Minimum6.3
Maximum7.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-21T03:22:58.077917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.3
5-th percentile6.9
Q17.1
median7.2
Q37.3
95-th percentile7.48
Maximum7.7
Range1.4
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.18941705
Coefficient of variation (CV)0.026309926
Kurtosis2.4645585
Mean7.1994521
Median Absolute Deviation (MAD)0.1
Skewness-0.74568058
Sum2627.8
Variance0.03587882
MonotonicityNot monotonic
2024-04-21T03:22:58.421781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
7.1 93
25.5%
7.4 71
19.5%
7.3 60
16.4%
7.2 60
16.4%
7.0 38
10.4%
7.5 15
 
4.1%
6.9 15
 
4.1%
6.8 4
 
1.1%
6.5 3
 
0.8%
7.7 3
 
0.8%
Other values (3) 3
 
0.8%
ValueCountFrequency (%)
6.3 1
 
0.3%
6.4 1
 
0.3%
6.5 3
 
0.8%
6.8 4
 
1.1%
6.9 15
 
4.1%
7.0 38
10.4%
7.1 93
25.5%
7.2 60
16.4%
7.3 60
16.4%
7.4 71
19.5%
ValueCountFrequency (%)
7.7 3
 
0.8%
7.6 1
 
0.3%
7.5 15
 
4.1%
7.4 71
19.5%
7.3 60
16.4%
7.2 60
16.4%
7.1 93
25.5%
7.0 38
10.4%
6.9 15
 
4.1%
6.8 4
 
1.1%

유입수_수온
Real number (ℝ)

Distinct145
Distinct (%)39.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.786575
Minimum9.3
Maximum26.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-21T03:22:58.809963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.3
5-th percentile10.7
Q113.8
median19.5
Q323.7
95-th percentile25.6
Maximum26.6
Range17.3
Interquartile range (IQR)9.9

Descriptive statistics

Standard deviation5.1436519
Coefficient of variation (CV)0.27379401
Kurtosis-1.3371147
Mean18.786575
Median Absolute Deviation (MAD)4.7
Skewness-0.23273918
Sum6857.1
Variance26.457154
MonotonicityNot monotonic
2024-04-21T03:22:59.242764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.1 9
 
2.5%
24.3 8
 
2.2%
13.3 7
 
1.9%
24.2 7
 
1.9%
23.7 6
 
1.6%
25.6 6
 
1.6%
25.7 6
 
1.6%
24.1 5
 
1.4%
13.0 5
 
1.4%
18.8 5
 
1.4%
Other values (135) 301
82.5%
ValueCountFrequency (%)
9.3 1
 
0.3%
9.8 2
 
0.5%
10.0 1
 
0.3%
10.1 3
0.8%
10.2 1
 
0.3%
10.3 2
 
0.5%
10.4 1
 
0.3%
10.5 2
 
0.5%
10.6 2
 
0.5%
10.7 5
1.4%
ValueCountFrequency (%)
26.6 1
 
0.3%
26.4 2
 
0.5%
26.2 1
 
0.3%
26.1 3
0.8%
26.0 1
 
0.3%
25.9 1
 
0.3%
25.8 2
 
0.5%
25.7 6
1.6%
25.6 6
1.6%
25.5 3
0.8%

유입수_생물화학적산소요구량
Real number (ℝ)

Distinct300
Distinct (%)82.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean180.20986
Minimum42.6
Maximum441.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-21T03:22:59.654568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42.6
5-th percentile90.6
Q1122.4
median169.9
Q3218.6
95-th percentile318
Maximum441.8
Range399.2
Interquartile range (IQR)96.2

Descriptive statistics

Standard deviation72.882494
Coefficient of variation (CV)0.40443122
Kurtosis0.80959721
Mean180.20986
Median Absolute Deviation (MAD)48.4
Skewness0.97264661
Sum65776.6
Variance5311.858
MonotonicityNot monotonic
2024-04-21T03:23:00.108686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
222.0 3
 
0.8%
169.5 3
 
0.8%
175.1 3
 
0.8%
232.9 3
 
0.8%
309.8 2
 
0.5%
214.5 2
 
0.5%
199.1 2
 
0.5%
236.6 2
 
0.5%
273.0 2
 
0.5%
186.0 2
 
0.5%
Other values (290) 341
93.4%
ValueCountFrequency (%)
42.6 1
0.3%
58.8 1
0.3%
62.0 1
0.3%
71.6 1
0.3%
73.0 1
0.3%
74.6 1
0.3%
74.8 2
0.5%
79.7 1
0.3%
81.6 1
0.3%
82.6 1
0.3%
ValueCountFrequency (%)
441.8 1
0.3%
424.5 1
0.3%
415.5 1
0.3%
397.0 1
0.3%
386.0 1
0.3%
382.5 1
0.3%
376.5 1
0.3%
375.0 1
0.3%
364.5 2
0.5%
361.5 1
0.3%

유입수_화학적산소요구량
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 365
100.0%

Length

2024-04-21T03:23:00.538048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:23:00.850319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

유입수_부유물질
Real number (ℝ)

Distinct123
Distinct (%)33.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153.26986
Minimum36
Maximum3170
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-21T03:23:01.169062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36
5-th percentile60.28
Q198
median143.3
Q3180
95-th percentile235
Maximum3170
Range3134
Interquartile range (IQR)82

Descriptive statistics

Standard deviation172.77031
Coefficient of variation (CV)1.1272295
Kurtosis257.35885
Mean153.26986
Median Absolute Deviation (MAD)40
Skewness14.902686
Sum55943.5
Variance29849.578
MonotonicityNot monotonic
2024-04-21T03:23:01.608175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
160.0 14
 
3.8%
180.0 14
 
3.8%
143.3 11
 
3.0%
185.0 10
 
2.7%
170.0 9
 
2.5%
190.0 9
 
2.5%
130.0 8
 
2.2%
140.0 8
 
2.2%
150.0 8
 
2.2%
156.7 7
 
1.9%
Other values (113) 267
73.2%
ValueCountFrequency (%)
36.0 2
0.5%
40.0 1
 
0.3%
46.0 2
0.5%
46.7 1
 
0.3%
51.7 3
0.8%
52.0 1
 
0.3%
55.0 2
0.5%
56.0 1
 
0.3%
56.3 1
 
0.3%
58.0 1
 
0.3%
ValueCountFrequency (%)
3170.0 1
 
0.3%
835.0 1
 
0.3%
490.0 1
 
0.3%
445.0 1
 
0.3%
355.0 1
 
0.3%
300.0 3
0.8%
290.0 1
 
0.3%
285.0 1
 
0.3%
275.0 1
 
0.3%
270.0 1
 
0.3%

유입수_총질소량
Real number (ℝ)

Distinct363
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.28274
Minimum5.662
Maximum50.654
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-21T03:23:02.037225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.662
5-th percentile12.5914
Q124.666
median30.109
Q334.226
95-th percentile42.4174
Maximum50.654
Range44.992
Interquartile range (IQR)9.56

Descriptive statistics

Standard deviation8.2367867
Coefficient of variation (CV)0.2812847
Kurtosis0.43905071
Mean29.28274
Median Absolute Deviation (MAD)4.75
Skewness-0.38430618
Sum10688.2
Variance67.844655
MonotonicityNot monotonic
2024-04-21T03:23:02.462508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17.228 2
 
0.5%
38.485 2
 
0.5%
15.573 1
 
0.3%
13.257 1
 
0.3%
9.008 1
 
0.3%
16.582 1
 
0.3%
22.125 1
 
0.3%
20.628 1
 
0.3%
33.279 1
 
0.3%
23.398 1
 
0.3%
Other values (353) 353
96.7%
ValueCountFrequency (%)
5.662 1
0.3%
6.172 1
0.3%
6.259 1
0.3%
8.473 1
0.3%
9.008 1
0.3%
9.13 1
0.3%
9.169 1
0.3%
9.627 1
0.3%
10.306 1
0.3%
10.466 1
0.3%
ValueCountFrequency (%)
50.654 1
0.3%
50.456 1
0.3%
49.898 1
0.3%
47.079 1
0.3%
46.948 1
0.3%
46.103 1
0.3%
45.873 1
0.3%
45.438 1
0.3%
45.267 1
0.3%
45.111 1
0.3%

유입수_총인량
Real number (ℝ)

Distinct348
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6776384
Minimum0.49
Maximum4.958
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-21T03:23:02.875480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.49
5-th percentile1.1046
Q12.194
median2.751
Q33.231
95-th percentile4.0296
Maximum4.958
Range4.468
Interquartile range (IQR)1.037

Descriptive statistics

Standard deviation0.83458621
Coefficient of variation (CV)0.31168743
Kurtosis0.13746447
Mean2.6776384
Median Absolute Deviation (MAD)0.494
Skewness-0.33756188
Sum977.338
Variance0.69653414
MonotonicityNot monotonic
2024-04-21T03:23:03.301274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.997 3
 
0.8%
3.151 2
 
0.5%
2.821 2
 
0.5%
3.284 2
 
0.5%
2.631 2
 
0.5%
2.862 2
 
0.5%
3.232 2
 
0.5%
2.104 2
 
0.5%
2.931 2
 
0.5%
3.81 2
 
0.5%
Other values (338) 344
94.2%
ValueCountFrequency (%)
0.49 1
0.3%
0.556 1
0.3%
0.583 1
0.3%
0.625 1
0.3%
0.643 1
0.3%
0.658 1
0.3%
0.697 1
0.3%
0.712 1
0.3%
0.744 1
0.3%
0.748 1
0.3%
ValueCountFrequency (%)
4.958 1
0.3%
4.733 1
0.3%
4.439 1
0.3%
4.437 1
0.3%
4.372 1
0.3%
4.347 1
0.3%
4.311 1
0.3%
4.303 1
0.3%
4.247 1
0.3%
4.233 1
0.3%

유입수_대장균군
Real number (ℝ)

Distinct120
Distinct (%)32.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66891.507
Minimum4200
Maximum290000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-21T03:23:03.697599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4200
5-th percentile9520
Q126000
median55000
Q389000
95-th percentile180000
Maximum290000
Range285800
Interquartile range (IQR)63000

Descriptive statistics

Standard deviation54365.481
Coefficient of variation (CV)0.81274116
Kurtosis2.5661906
Mean66891.507
Median Absolute Deviation (MAD)32000
Skewness1.5331748
Sum24415400
Variance2.9556055 × 109
MonotonicityNot monotonic
2024-04-21T03:23:04.135399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
110000 12
 
3.3%
130000 11
 
3.0%
120000 10
 
2.7%
18000 9
 
2.5%
22000 8
 
2.2%
29000 8
 
2.2%
100000 8
 
2.2%
66000 7
 
1.9%
15000 7
 
1.9%
50000 7
 
1.9%
Other values (110) 278
76.2%
ValueCountFrequency (%)
4200 1
0.3%
4300 1
0.3%
5300 1
0.3%
6000 1
0.3%
6200 1
0.3%
6500 1
0.3%
6800 1
0.3%
7100 1
0.3%
7200 2
0.5%
7300 1
0.3%
ValueCountFrequency (%)
290000 1
 
0.3%
270000 1
 
0.3%
260000 1
 
0.3%
250000 3
0.8%
240000 1
 
0.3%
230000 2
0.5%
220000 3
0.8%
210000 4
1.1%
200000 1
 
0.3%
190000 1
 
0.3%

유입수_염소이온
Real number (ℝ)

Distinct273
Distinct (%)74.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1702.8836
Minimum14.2
Maximum5264.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-21T03:23:04.776290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.2
5-th percentile638.84
Q11230.1
median1513.7
Q32052.6
95-th percentile3425.9
Maximum5264.3
Range5250.1
Interquartile range (IQR)822.5

Descriptive statistics

Standard deviation815.06246
Coefficient of variation (CV)0.47863663
Kurtosis2.6265347
Mean1702.8836
Median Absolute Deviation (MAD)393.5
Skewness1.3275277
Sum621552.5
Variance664326.81
MonotonicityNot monotonic
2024-04-21T03:23:05.223932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1336.5 4
 
1.1%
1634.2 4
 
1.1%
2513.4 3
 
0.8%
1428.6 3
 
0.8%
1375.5 3
 
0.8%
1368.4 3
 
0.8%
1481.8 3
 
0.8%
1230.1 3
 
0.8%
1510.2 3
 
0.8%
1478.3 3
 
0.8%
Other values (263) 333
91.2%
ValueCountFrequency (%)
14.2 1
0.3%
195.0 1
0.3%
244.6 1
0.3%
258.8 1
0.3%
265.9 1
0.3%
312.0 1
0.3%
361.6 1
0.3%
407.7 1
0.3%
411.2 2
0.5%
467.9 1
0.3%
ValueCountFrequency (%)
5264.3 1
0.3%
4796.4 1
0.3%
4644.0 1
0.3%
4456.1 1
0.3%
4353.3 1
0.3%
4335.5 1
0.3%
4293.0 1
0.3%
4151.2 1
0.3%
4076.8 1
0.3%
4020.0 1
0.3%

방류수_수소농도
Real number (ℝ)

Distinct15
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6282192
Minimum5.8
Maximum7.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-21T03:23:05.574402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.8
5-th percentile6.4
Q16.5
median6.6
Q36.7
95-th percentile6.9
Maximum7.3
Range1.5
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.19286263
Coefficient of variation (CV)0.029097202
Kurtosis3.0010209
Mean6.6282192
Median Absolute Deviation (MAD)0.1
Skewness-0.51345703
Sum2419.3
Variance0.037195996
MonotonicityNot monotonic
2024-04-21T03:23:05.948689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
6.6 88
24.1%
6.7 84
23.0%
6.5 64
17.5%
6.8 37
10.1%
6.9 32
 
8.8%
6.4 31
 
8.5%
6.3 11
 
3.0%
7.0 6
 
1.6%
5.8 3
 
0.8%
7.1 2
 
0.5%
Other values (5) 7
 
1.9%
ValueCountFrequency (%)
5.8 3
 
0.8%
5.9 1
 
0.3%
6.0 1
 
0.3%
6.2 2
 
0.5%
6.3 11
 
3.0%
6.4 31
 
8.5%
6.5 64
17.5%
6.6 88
24.1%
6.7 84
23.0%
6.8 37
10.1%
ValueCountFrequency (%)
7.3 1
 
0.3%
7.2 2
 
0.5%
7.1 2
 
0.5%
7.0 6
 
1.6%
6.9 32
 
8.8%
6.8 37
10.1%
6.7 84
23.0%
6.6 88
24.1%
6.5 64
17.5%
6.4 31
 
8.5%

방류수_수온
Real number (ℝ)

Distinct136
Distinct (%)37.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.209589
Minimum9.4
Maximum27.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-21T03:23:06.378986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.4
5-th percentile11.3
Q114.2
median19.7
Q324.2
95-th percentile26.5
Maximum27.5
Range18.1
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.335218
Coefficient of variation (CV)0.27773723
Kurtosis-1.3706526
Mean19.209589
Median Absolute Deviation (MAD)4.8
Skewness-0.1671115
Sum7011.5
Variance28.464551
MonotonicityNot monotonic
2024-04-21T03:23:06.817695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24.2 10
 
2.7%
11.4 9
 
2.5%
11.7 7
 
1.9%
11.2 7
 
1.9%
12.2 6
 
1.6%
26.7 6
 
1.6%
11.9 5
 
1.4%
25.2 5
 
1.4%
26.0 5
 
1.4%
18.9 5
 
1.4%
Other values (126) 300
82.2%
ValueCountFrequency (%)
9.4 1
 
0.3%
9.7 1
 
0.3%
10.9 3
 
0.8%
11.0 1
 
0.3%
11.1 3
 
0.8%
11.2 7
1.9%
11.3 5
1.4%
11.4 9
2.5%
11.5 3
 
0.8%
11.6 5
1.4%
ValueCountFrequency (%)
27.5 1
 
0.3%
27.2 2
 
0.5%
27.1 3
0.8%
27.0 2
 
0.5%
26.8 2
 
0.5%
26.7 6
1.6%
26.6 1
 
0.3%
26.5 4
1.1%
26.4 3
0.8%
26.3 4
1.1%

방류수_생물화학적산소요구량
Real number (ℝ)

Distinct111
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7613699
Minimum0.1
Maximum18.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-21T03:23:07.229696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile1.3
Q12.2
median3.9
Q36.5
95-th percentile10.88
Maximum18.9
Range18.8
Interquartile range (IQR)4.3

Descriptive statistics

Standard deviation3.2465727
Coefficient of variation (CV)0.68185686
Kurtosis2.2933245
Mean4.7613699
Median Absolute Deviation (MAD)1.9
Skewness1.3721767
Sum1737.9
Variance10.540234
MonotonicityNot monotonic
2024-04-21T03:23:07.676082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.2 13
 
3.6%
3.7 12
 
3.3%
2.0 11
 
3.0%
1.8 10
 
2.7%
2.4 9
 
2.5%
1.5 8
 
2.2%
3.8 8
 
2.2%
2.9 8
 
2.2%
1.6 8
 
2.2%
1.3 8
 
2.2%
Other values (101) 270
74.0%
ValueCountFrequency (%)
0.1 1
 
0.3%
0.6 1
 
0.3%
0.7 2
 
0.5%
0.9 1
 
0.3%
1.0 4
1.1%
1.1 3
 
0.8%
1.2 2
 
0.5%
1.3 8
2.2%
1.4 7
1.9%
1.5 8
2.2%
ValueCountFrequency (%)
18.9 1
0.3%
18.2 1
0.3%
17.2 1
0.3%
16.0 1
0.3%
15.5 2
0.5%
14.7 1
0.3%
13.7 1
0.3%
13.0 1
0.3%
12.6 1
0.3%
12.0 1
0.3%

방류수_화학적산소요구량
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 365
100.0%

Length

2024-04-21T03:23:08.101536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:23:08.411013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

방류수_부유물질
Real number (ℝ)

Distinct82
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.9906849
Minimum2.1
Maximum20.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-21T03:23:08.735643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.1
5-th percentile3.1
Q14.2
median5.4
Q37.4
95-th percentile10.4
Maximum20.8
Range18.7
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation2.6107388
Coefficient of variation (CV)0.43579971
Kurtosis6.4522939
Mean5.9906849
Median Absolute Deviation (MAD)1.4
Skewness1.8665481
Sum2186.6
Variance6.8159569
MonotonicityNot monotonic
2024-04-21T03:23:09.178039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.2 20
 
5.5%
4.5 14
 
3.8%
6.8 14
 
3.8%
4.0 12
 
3.3%
7.4 12
 
3.3%
4.1 11
 
3.0%
7.8 11
 
3.0%
8.2 10
 
2.7%
5.4 10
 
2.7%
7.6 10
 
2.7%
Other values (72) 241
66.0%
ValueCountFrequency (%)
2.1 1
 
0.3%
2.4 2
 
0.5%
2.5 2
 
0.5%
2.6 1
 
0.3%
2.7 4
1.1%
2.8 2
 
0.5%
3.0 5
1.4%
3.1 6
1.6%
3.2 5
1.4%
3.3 8
2.2%
ValueCountFrequency (%)
20.8 1
0.3%
20.5 1
0.3%
18.8 1
0.3%
15.8 1
0.3%
14.3 1
0.3%
13.0 1
0.3%
12.9 1
0.3%
12.5 1
0.3%
12.3 2
0.5%
11.5 1
0.3%

방류수_총질소량
Real number (ℝ)

Distinct342
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0140603
Minimum2.726
Maximum12.372
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-21T03:23:09.614525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.726
5-th percentile4.676
Q16.986
median8.115
Q39.15
95-th percentile10.629
Maximum12.372
Range9.646
Interquartile range (IQR)2.164

Descriptive statistics

Standard deviation1.7486303
Coefficient of variation (CV)0.2181953
Kurtosis0.18751654
Mean8.0140603
Median Absolute Deviation (MAD)1.115
Skewness-0.40573551
Sum2925.132
Variance3.0577078
MonotonicityNot monotonic
2024-04-21T03:23:10.037358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.187 7
 
1.9%
4.676 6
 
1.6%
9.146 2
 
0.5%
8.062 2
 
0.5%
7.6 2
 
0.5%
8.082 2
 
0.5%
6.258 2
 
0.5%
8.524 2
 
0.5%
7.976 2
 
0.5%
7.678 2
 
0.5%
Other values (332) 336
92.1%
ValueCountFrequency (%)
2.726 1
0.3%
2.767 1
0.3%
2.898 1
0.3%
3.023 1
0.3%
3.128 1
0.3%
3.772 1
0.3%
3.787 1
0.3%
4.185 1
0.3%
4.257 1
0.3%
4.369 1
0.3%
ValueCountFrequency (%)
12.372 1
0.3%
12.13 1
0.3%
11.814 1
0.3%
11.683 1
0.3%
11.364 1
0.3%
11.332 1
0.3%
11.277 1
0.3%
11.125 1
0.3%
11.122 1
0.3%
11.088 1
0.3%

방류수_총인량
Real number (ℝ)

Distinct286
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.35616712
Minimum0.014
Maximum1.914
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-21T03:23:10.455004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.014
5-th percentile0.067
Q10.132
median0.263
Q30.54
95-th percentile0.8806
Maximum1.914
Range1.9
Interquartile range (IQR)0.408

Descriptive statistics

Standard deviation0.28075981
Coefficient of variation (CV)0.78828111
Kurtosis2.219756
Mean0.35616712
Median Absolute Deviation (MAD)0.161
Skewness1.2611527
Sum130.001
Variance0.078826074
MonotonicityNot monotonic
2024-04-21T03:23:10.914013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.104 8
 
2.2%
0.106 6
 
1.6%
0.167 4
 
1.1%
0.069 4
 
1.1%
0.176 4
 
1.1%
0.338 3
 
0.8%
0.068 3
 
0.8%
0.165 3
 
0.8%
0.081 3
 
0.8%
0.131 3
 
0.8%
Other values (276) 324
88.8%
ValueCountFrequency (%)
0.014 1
0.3%
0.033 1
0.3%
0.035 1
0.3%
0.04 1
0.3%
0.043 1
0.3%
0.045 1
0.3%
0.046 1
0.3%
0.047 1
0.3%
0.053 1
0.3%
0.059 2
0.5%
ValueCountFrequency (%)
1.914 1
0.3%
1.258 1
0.3%
1.235 1
0.3%
1.2 1
0.3%
1.061 1
0.3%
1.058 1
0.3%
1.034 1
0.3%
0.998 1
0.3%
0.988 1
0.3%
0.985 1
0.3%

방류수_대장균군
Real number (ℝ)

Distinct133
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean975.36164
Minimum5
Maximum7600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-21T03:23:11.272115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile76
Q1310
median600
Q31200
95-th percentile2900
Maximum7600
Range7595
Interquartile range (IQR)890

Descriptive statistics

Standard deviation1087.9597
Coefficient of variation (CV)1.1154423
Kurtosis8.4331712
Mean975.36164
Median Absolute Deviation (MAD)390
Skewness2.5086168
Sum356007
Variance1183656.2
MonotonicityNot monotonic
2024-04-21T03:23:11.522775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1200 9
 
2.5%
110 9
 
2.5%
1100 9
 
2.5%
1600 8
 
2.2%
120 8
 
2.2%
1300 7
 
1.9%
1000 7
 
1.9%
2000 7
 
1.9%
350 6
 
1.6%
2300 6
 
1.6%
Other values (123) 289
79.2%
ValueCountFrequency (%)
5 1
 
0.3%
9 1
 
0.3%
16 1
 
0.3%
31 3
0.8%
33 1
 
0.3%
38 1
 
0.3%
46 1
 
0.3%
52 1
 
0.3%
58 1
 
0.3%
60 1
 
0.3%
ValueCountFrequency (%)
7600 1
0.3%
6200 2
0.5%
5900 1
0.3%
5800 1
0.3%
4900 1
0.3%
4500 1
0.3%
4400 1
0.3%
4200 1
0.3%
3900 1
0.3%
3800 1
0.3%

방류수_염소이온
Real number (ℝ)

Distinct228
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1406.0595
Minimum152.4
Maximum2463.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-21T03:23:11.775631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum152.4
5-th percentile704.74
Q11187.6
median1467.6
Q31644.9
95-th percentile1928.5
Maximum2463.8
Range2311.4
Interquartile range (IQR)457.3

Descriptive statistics

Standard deviation382.68745
Coefficient of variation (CV)0.27217018
Kurtosis0.81688535
Mean1406.0595
Median Absolute Deviation (MAD)226.9
Skewness-0.57461377
Sum513211.7
Variance146449.68
MonotonicityNot monotonic
2024-04-21T03:23:12.017670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1474.7 5
 
1.4%
1432.2 4
 
1.1%
1336.5 4
 
1.1%
1492.4 4
 
1.1%
1513.7 4
 
1.1%
1467.6 4
 
1.1%
1630.7 4
 
1.1%
1279.7 4
 
1.1%
1389.6 3
 
0.8%
1524.4 3
 
0.8%
Other values (218) 326
89.3%
ValueCountFrequency (%)
152.4 1
0.3%
230.4 1
0.3%
265.9 1
0.3%
290.7 1
0.3%
297.8 1
0.3%
315.5 1
0.3%
358.0 1
0.3%
404.1 1
0.3%
418.3 1
0.3%
439.6 1
0.3%
ValueCountFrequency (%)
2463.8 1
 
0.3%
2446.1 1
 
0.3%
2311.3 1
 
0.3%
2233.4 1
 
0.3%
2212.1 1
 
0.3%
2197.9 1
 
0.3%
2162.5 1
 
0.3%
2070.3 1
 
0.3%
2034.8 1
 
0.3%
2027.7 3
0.8%

잉여슬러지_유량
Real number (ℝ)

ZEROS 

Distinct307
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean669.50959
Minimum0
Maximum1472
Zeros13
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-21T03:23:12.255000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile97.8
Q1394
median658
Q3957
95-th percentile1250.8
Maximum1472
Range1472
Interquartile range (IQR)563

Descriptive statistics

Standard deviation348.88331
Coefficient of variation (CV)0.52110278
Kurtosis-0.80439847
Mean669.50959
Median Absolute Deviation (MAD)279
Skewness0.067645647
Sum244371
Variance121719.56
MonotonicityNot monotonic
2024-04-21T03:23:12.504180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13
 
3.6%
347 3
 
0.8%
829 3
 
0.8%
1083 2
 
0.5%
375 2
 
0.5%
495 2
 
0.5%
1008 2
 
0.5%
766 2
 
0.5%
950 2
 
0.5%
646 2
 
0.5%
Other values (297) 332
91.0%
ValueCountFrequency (%)
0 13
3.6%
6 1
 
0.3%
26 1
 
0.3%
38 1
 
0.3%
80 1
 
0.3%
86 1
 
0.3%
97 1
 
0.3%
101 1
 
0.3%
105 1
 
0.3%
113 1
 
0.3%
ValueCountFrequency (%)
1472 1
0.3%
1412 1
0.3%
1397 1
0.3%
1366 1
0.3%
1342 1
0.3%
1338 1
0.3%
1330 1
0.3%
1326 1
0.3%
1319 1
0.3%
1318 1
0.3%

농축기_유량
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 365
100.0%

Length

2024-04-21T03:23:12.738548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:23:12.903803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

탈수기_유량
Real number (ℝ)

ZEROS 

Distinct304
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean674.75068
Minimum0
Maximum1780
Zeros22
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-21T03:23:13.310512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1391
median675
Q3947
95-th percentile1284.6
Maximum1780
Range1780
Interquartile range (IQR)556

Descriptive statistics

Standard deviation368.94096
Coefficient of variation (CV)0.54678115
Kurtosis-0.69276711
Mean674.75068
Median Absolute Deviation (MAD)282
Skewness0.077603888
Sum246284
Variance136117.43
MonotonicityNot monotonic
2024-04-21T03:23:13.557803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22
 
6.0%
844 3
 
0.8%
355 3
 
0.8%
765 3
 
0.8%
1025 2
 
0.5%
705 2
 
0.5%
681 2
 
0.5%
379 2
 
0.5%
385 2
 
0.5%
819 2
 
0.5%
Other values (294) 322
88.2%
ValueCountFrequency (%)
0 22
6.0%
12 1
 
0.3%
50 1
 
0.3%
110 1
 
0.3%
111 1
 
0.3%
113 1
 
0.3%
123 2
 
0.5%
126 1
 
0.3%
134 1
 
0.3%
158 1
 
0.3%
ValueCountFrequency (%)
1780 1
0.3%
1429 1
0.3%
1419 1
0.3%
1410 1
0.3%
1403 1
0.3%
1391 1
0.3%
1371 1
0.3%
1360 1
0.3%
1355 2
0.5%
1344 1
0.3%

탈수케익_유량
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 365
100.0%

Length

2024-04-21T03:23:13.794258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:23:13.961015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

잉여슬러지_발생량
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 365
100.0%

Length

2024-04-21T03:23:14.136052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:23:14.449558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

농축기_발생량
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 365
100.0%

Length

2024-04-21T03:23:14.774423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:23:15.084489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

탈수기_발생량
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 365
100.0%

Length

2024-04-21T03:23:15.409281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:23:15.719260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

탈수케익_발생량
Real number (ℝ)

ZEROS 

Distinct263
Distinct (%)72.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.933014
Minimum0
Maximum79.5
Zeros24
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-21T03:23:15.990078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q124.7
median42.2
Q354.1
95-th percentile67.68
Maximum79.5
Range79.5
Interquartile range (IQR)29.4

Descriptive statistics

Standard deviation19.425398
Coefficient of variation (CV)0.4989441
Kurtosis-0.73439827
Mean38.933014
Median Absolute Deviation (MAD)15.6
Skewness-0.25874896
Sum14210.55
Variance377.34607
MonotonicityNot monotonic
2024-04-21T03:23:16.253384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 24
 
6.6%
51.3 4
 
1.1%
42.2 3
 
0.8%
30.2 3
 
0.8%
64.5 3
 
0.8%
66.5 3
 
0.8%
28.5 3
 
0.8%
25.2 3
 
0.8%
46.2 3
 
0.8%
24.1 3
 
0.8%
Other values (253) 313
85.8%
ValueCountFrequency (%)
0.0 24
6.6%
2.5 1
 
0.3%
5.6 1
 
0.3%
6.4 1
 
0.3%
6.6 1
 
0.3%
7.8 1
 
0.3%
7.9 1
 
0.3%
9.4 1
 
0.3%
9.8 1
 
0.3%
10.2 1
 
0.3%
ValueCountFrequency (%)
79.5 1
0.3%
77.0 1
0.3%
74.2 1
0.3%
73.0 1
0.3%
72.6 1
0.3%
72.4 1
0.3%
71.0 1
0.3%
70.9 1
0.3%
70.4 1
0.3%
70.1 1
0.3%

잉여슬러지_반출량
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 365
100.0%

Length

2024-04-21T03:23:16.495999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:23:16.665630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

농축기_반출량
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 365
100.0%

Length

2024-04-21T03:23:16.840273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:23:17.042194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

탈수기_반출량
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 365
100.0%

Length

2024-04-21T03:23:17.365389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:23:17.676607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

탈수케익_반출량
Real number (ℝ)

ZEROS 

Distinct290
Distinct (%)79.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.572795
Minimum0
Maximum89.97
Zeros57
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-21T03:23:18.014257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q122.81
median45.01
Q352.15
95-th percentile70.82
Maximum89.97
Range89.97
Interquartile range (IQR)29.34

Descriptive statistics

Standard deviation22.918873
Coefficient of variation (CV)0.59417195
Kurtosis-0.90929106
Mean38.572795
Median Absolute Deviation (MAD)20.37
Skewness-0.2566533
Sum14079.07
Variance525.27472
MonotonicityNot monotonic
2024-04-21T03:23:18.432462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 57
 
15.6%
70.82 2
 
0.5%
26.37 2
 
0.5%
25.77 2
 
0.5%
45.85 2
 
0.5%
51.02 2
 
0.5%
45.53 2
 
0.5%
26.29 2
 
0.5%
46.64 2
 
0.5%
26.4 2
 
0.5%
Other values (280) 290
79.5%
ValueCountFrequency (%)
0.0 57
15.6%
16.6 1
 
0.3%
17.08 1
 
0.3%
18.84 1
 
0.3%
19.11 1
 
0.3%
19.61 1
 
0.3%
20.19 1
 
0.3%
20.89 1
 
0.3%
20.97 1
 
0.3%
21.61 1
 
0.3%
ValueCountFrequency (%)
89.97 1
0.3%
81.96 1
0.3%
78.31 1
0.3%
77.87 1
0.3%
75.34 1
0.3%
75.27 1
0.3%
74.7 1
0.3%
72.7 1
0.3%
71.92 1
0.3%
71.84 1
0.3%

잉여슬러지_총황
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 365
100.0%

Length

2024-04-21T03:23:18.838344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:23:19.147717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

농축기_총황
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 365
100.0%

Length

2024-04-21T03:23:19.473355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:23:19.786423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

탈수기_총황
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 365
100.0%

Length

2024-04-21T03:23:20.108287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:23:20.422466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

탈수케익_총황
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 365
100.0%

Length

2024-04-21T03:23:20.742712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:23:21.061255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

잉여슬러지_탈리여액
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 365
100.0%

Length

2024-04-21T03:23:21.394307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:23:21.707486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

농축기_탈리여액
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 365
100.0%

Length

2024-04-21T03:23:22.029792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:23:22.343169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

탈수기_탈리여액
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 365
100.0%

Length

2024-04-21T03:23:22.665649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:23:22.979338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

탈수케익_탈리여액
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 365
100.0%

Length

2024-04-21T03:23:23.302267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:23:23.612495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

Sample

일자날씨온도유입량방류량탈수케익함수율우수처리량유입수_수소농도유입수_수온유입수_생물화학적산소요구량유입수_화학적산소요구량유입수_부유물질유입수_총질소량유입수_총인량유입수_대장균군유입수_염소이온방류수_수소농도방류수_수온방류수_생물화학적산소요구량방류수_화학적산소요구량방류수_부유물질방류수_총질소량방류수_총인량방류수_대장균군방류수_염소이온잉여슬러지_유량농축기_유량탈수기_유량탈수케익_유량잉여슬러지_발생량농축기_발생량탈수기_발생량탈수케익_발생량잉여슬러지_반출량농축기_반출량탈수기_반출량탈수케익_반출량잉여슬러지_총황농축기_총황탈수기_총황탈수케익_총황잉여슬러지_탈리여액농축기_탈리여액탈수기_탈리여액탈수케익_탈리여액
02022-01-01맑음390160839270.007.410.689.2070.021.0152.013220002190.86.911.711.604.06.7440.3893301432.22530369000022.00000.000000000
12022-01-02눈190170784550.007.412.1108.90117.532.1292.5220001088.36.911.73.704.57.2570.1434001659.100000000.00000.000000000
22022-01-03눈290440828830.007.511.2120.30185.027.3362.406510001400.36.711.51.607.28.7060.0755901499.56960591000038.700040.9100000000
32022-01-04맑음388220822010.007.313.3133.80195.034.9093.259150001598.86.810.91.409.27.9660.0632001800.96980677000043.900022.8100000000
42022-01-05흐림391070851700.007.311.3111.90210.026.9722.485160002488.66.611.74.1010.48.5990.0841701694.53880464000029.300022.3400000000
52022-01-06맑음2891008643078.607.311.4126.90156.730.3642.23496003722.36.612.20.708.68.9740.0881501786.75020555000033.500045.2900000000
62022-01-07맑음288520818000.007.313.373.00160.029.7562.544110001655.56.711.80.105.69.1190.0673601705.14510358000020.500022.4700000000
72022-01-08맑음088570859120.007.411.589.0095.024.1392.204530001513.76.612.01.603.64.6760.163301602.300000000.000018.8400000000
82022-01-09맑음196390934980.007.313.6195.80112.530.2842.706360001045.87.012.30.604.04.6760.1063801400.31510201000011.70000.000000000
92022-01-10흐림, 눈093870894500.007.312.4110.10126.733.2383.36200634.66.612.11.106.27.8560.05991184.03790446000028.400022.6800000000
일자날씨온도유입량방류량탈수케익함수율우수처리량유입수_수소농도유입수_수온유입수_생물화학적산소요구량유입수_화학적산소요구량유입수_부유물질유입수_총질소량유입수_총인량유입수_대장균군유입수_염소이온방류수_수소농도방류수_수온방류수_생물화학적산소요구량방류수_화학적산소요구량방류수_부유물질방류수_총질소량방류수_총인량방류수_대장균군방류수_염소이온잉여슬러지_유량농축기_유량탈수기_유량탈수케익_유량잉여슬러지_발생량농축기_발생량탈수기_발생량탈수케익_발생량잉여슬러지_반출량농축기_반출량탈수기_반출량탈수케익_반출량잉여슬러지_총황농축기_총황탈수기_총황탈수케익_총황잉여슬러지_탈리여액농축기_탈리여액탈수기_탈리여액탈수케익_탈리여액
3552022-12-22맑음8965308883078.107.213.4186.80165.044.694.1821700001024.56.413.15.108.39.0360.2972501496.09520979000051.900045.4100000000
3562022-12-23맑음1195360892600.007.111.0189.8093.329.3042.821190001386.16.311.92.708.29.5130.40312001538.55990565000046.100049.7400000000
3572022-12-24맑음995210891200.007.210.374.8046.022.6021.974120001634.26.311.34.003.710.5380.301761644.9151015800009.400046.2900000000
3582022-12-25맑음595520898400.007.112.1177.4084.031.5692.829500001733.56.311.14.103.710.3010.3443201730.05480485000033.60000.000000000
3592022-12-26맑음495590891600.007.111.0101.30110.030.5122.732150001588.26.311.54.304.59.8770.6027601336.56710641000040.700047.3700000000
3602022-12-27맑음2955308934078.607.210.7118.30106.726.9032.659140001722.96.412.04.907.69.080.63510001818.67000745000051.300048.2300000000
3612022-12-28눈393200877400.007.111.3117.80120.031.613.002270001730.06.311.46.306.48.9550.5996901673.26440598000043.300047.4300000000
3622022-12-29눈393040893500.007.110.7183.80100.023.4392.22495002251.16.211.217.209.812.130.1596501630.792901062000056.100048.1400000000
3632022-12-30눈392460855500.007.011.196.30103.322.8522.199320001712.26.211.216.0018.810.2770.2156601552.74460457000026.100026.200000000
3642022-12-31맑음095590882300.007.011.8270.00107.534.7952.922490001212.46.311.49.604.19.6680.16818001481.862501035000051.300049.3700000000