Overview

Dataset statistics

Number of variables16
Number of observations78
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.9 KiB
Average record size in memory143.7 B

Variable types

Numeric12
Categorical4

Dataset

Description다목적댐 방류수 수질 조회 서비스
Author충청남도
URLhttps://alldam.chungnam.go.kr/bigdata/collect/view.chungnam?menuCd=DOM_000000201001001000&apiIdx=2787

Alerts

댐이름 is highly overall correlated with 댐코드High correlation
댐코드 is highly overall correlated with 댐이름High correlation
순번 is highly overall correlated with DO(mg/L) and 2 other fieldsHigh correlation
DO(mg/L) is highly overall correlated with 순번 and 1 other fieldsHigh correlation
수온(ºC) is highly overall correlated with 순번 and 1 other fieldsHigh correlation
PO4-P(mg/L) is highly overall correlated with T-N(mg/L)High correlation
T-N(mg/L) is highly overall correlated with PO4-P(mg/L)High correlation
전기전도도 is highly overall correlated with 측정년도High correlation
측정월 is highly overall correlated with 순번High correlation
측정년도 is highly overall correlated with 전기전도도High correlation
PO4-P(mg/L) has 1 (1.3%) missing valuesMissing
SS(mg/L) has 1 (1.3%) zerosZeros
PO4-P(mg/L) has 36 (46.2%) zerosZeros

Reproduction

Analysis started2024-01-09 20:27:08.119498
Analysis finished2024-01-09 20:27:20.681394
Duration12.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2024-01-10T05:27:20.728419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median7
Q310
95-th percentile13
Maximum13
Range12
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.7658755
Coefficient of variation (CV)0.53798221
Kurtosis-1.2148246
Mean7
Median Absolute Deviation (MAD)3
Skewness0
Sum546
Variance14.181818
MonotonicityNot monotonic
2024-01-10T05:27:20.823158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
13 6
 
7.7%
12 6
 
7.7%
11 6
 
7.7%
10 6
 
7.7%
9 6
 
7.7%
8 6
 
7.7%
7 6
 
7.7%
6 6
 
7.7%
5 6
 
7.7%
4 6
 
7.7%
Other values (3) 18
23.1%
ValueCountFrequency (%)
1 6
7.7%
2 6
7.7%
3 6
7.7%
4 6
7.7%
5 6
7.7%
6 6
7.7%
7 6
7.7%
8 6
7.7%
9 6
7.7%
10 6
7.7%
ValueCountFrequency (%)
13 6
7.7%
12 6
7.7%
11 6
7.7%
10 6
7.7%
9 6
7.7%
8 6
7.7%
7 6
7.7%
6 6
7.7%
5 6
7.7%
4 6
7.7%

SS(mg/L)
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)35.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6910256
Minimum0
Maximum9.8
Zeros1
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size834.0 B
2024-01-10T05:27:20.922917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4
Q10.725
median1.2
Q32
95-th percentile5.63
Maximum9.8
Range9.8
Interquartile range (IQR)1.275

Descriptive statistics

Standard deviation1.6911677
Coefficient of variation (CV)1.000084
Kurtosis7.3464149
Mean1.6910256
Median Absolute Deviation (MAD)0.6
Skewness2.4684146
Sum131.9
Variance2.8600483
MonotonicityNot monotonic
2024-01-10T05:27:21.033208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.8 12
15.4%
0.4 11
14.1%
1.2 9
 
11.5%
0.5 4
 
5.1%
2.8 3
 
3.8%
1.6 3
 
3.8%
1.8 3
 
3.8%
2.0 3
 
3.8%
2.4 3
 
3.8%
0.7 2
 
2.6%
Other values (18) 25
32.1%
ValueCountFrequency (%)
0.0 1
 
1.3%
0.4 11
14.1%
0.5 4
 
5.1%
0.6 2
 
2.6%
0.7 2
 
2.6%
0.8 12
15.4%
0.9 1
 
1.3%
1.0 2
 
2.6%
1.1 2
 
2.6%
1.2 9
11.5%
ValueCountFrequency (%)
9.8 1
 
1.3%
6.4 2
2.6%
5.8 1
 
1.3%
5.6 1
 
1.3%
5.2 1
 
1.3%
4.0 1
 
1.3%
3.8 1
 
1.3%
3.0 2
2.6%
2.8 3
3.8%
2.6 1
 
1.3%

DO(mg/L)
Real number (ℝ)

HIGH CORRELATION 

Distinct48
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.6141026
Minimum4.4
Maximum14.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2024-01-10T05:27:21.150469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.4
5-th percentile6.295
Q18.15
median9.6
Q311.225
95-th percentile13.1
Maximum14.6
Range10.2
Interquartile range (IQR)3.075

Descriptive statistics

Standard deviation2.1370403
Coefficient of variation (CV)0.22228183
Kurtosis-0.044383733
Mean9.6141026
Median Absolute Deviation (MAD)1.5
Skewness0.11321173
Sum749.9
Variance4.5669414
MonotonicityNot monotonic
2024-01-10T05:27:21.274913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
9.8 6
 
7.7%
11.7 5
 
6.4%
8.9 4
 
5.1%
9.6 3
 
3.8%
10.1 3
 
3.8%
8.1 3
 
3.8%
9.5 3
 
3.8%
11.8 2
 
2.6%
9.4 2
 
2.6%
7.1 2
 
2.6%
Other values (38) 45
57.7%
ValueCountFrequency (%)
4.4 1
1.3%
5.6 1
1.3%
5.7 2
2.6%
6.4 2
2.6%
6.7 1
1.3%
6.8 1
1.3%
7.1 2
2.6%
7.2 1
1.3%
7.3 1
1.3%
7.6 2
2.6%
ValueCountFrequency (%)
14.6 2
 
2.6%
14.3 1
 
1.3%
13.1 2
 
2.6%
13.0 1
 
1.3%
12.8 1
 
1.3%
12.2 1
 
1.3%
12.0 1
 
1.3%
11.8 2
 
2.6%
11.7 5
6.4%
11.6 1
 
1.3%

수온(ºC)
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.051282
Minimum1
Maximum27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2024-01-10T05:27:21.383212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.85
Q18
median13
Q318
95-th percentile24
Maximum27
Range26
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.7128437
Coefficient of variation (CV)0.51434363
Kurtosis-0.86895093
Mean13.051282
Median Absolute Deviation (MAD)5
Skewness0.11280811
Sum1018
Variance45.062271
MonotonicityNot monotonic
2024-01-10T05:27:21.490623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
11 7
 
9.0%
8 6
 
7.7%
15 6
 
7.7%
6 5
 
6.4%
13 5
 
6.4%
14 5
 
6.4%
18 4
 
5.1%
22 4
 
5.1%
10 4
 
5.1%
4 4
 
5.1%
Other values (15) 28
35.9%
ValueCountFrequency (%)
1 2
 
2.6%
2 2
 
2.6%
3 2
 
2.6%
4 4
5.1%
5 1
 
1.3%
6 5
6.4%
7 2
 
2.6%
8 6
7.7%
10 4
5.1%
11 7
9.0%
ValueCountFrequency (%)
27 1
 
1.3%
25 2
2.6%
24 3
3.8%
23 2
2.6%
22 4
5.1%
21 1
 
1.3%
20 3
3.8%
19 1
 
1.3%
18 4
5.1%
17 4
5.1%

PO4-P(mg/L)
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct9
Distinct (%)11.7%
Missing1
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean0.0020779221
Minimum0
Maximum0.013
Zeros36
Zeros (%)46.2%
Negative0
Negative (%)0.0%
Memory size834.0 B
2024-01-10T05:27:21.871972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.001
Q30.004
95-th percentile0.0052
Maximum0.013
Range0.013
Interquartile range (IQR)0.004

Descriptive statistics

Standard deviation0.0027181952
Coefficient of variation (CV)1.3081314
Kurtosis4.9221551
Mean0.0020779221
Median Absolute Deviation (MAD)0.001
Skewness1.8649889
Sum0.16
Variance7.3885851 × 10-6
MonotonicityNot monotonic
2024-01-10T05:27:21.967951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 36
46.2%
0.005 11
 
14.1%
0.003 10
 
12.8%
0.001 6
 
7.7%
0.004 5
 
6.4%
0.002 5
 
6.4%
0.013 2
 
2.6%
0.007 1
 
1.3%
0.006 1
 
1.3%
(Missing) 1
 
1.3%
ValueCountFrequency (%)
0.0 36
46.2%
0.001 6
 
7.7%
0.002 5
 
6.4%
0.003 10
 
12.8%
0.004 5
 
6.4%
0.005 11
 
14.1%
0.006 1
 
1.3%
0.007 1
 
1.3%
0.013 2
 
2.6%
ValueCountFrequency (%)
0.013 2
 
2.6%
0.007 1
 
1.3%
0.006 1
 
1.3%
0.005 11
 
14.1%
0.004 5
 
6.4%
0.003 10
 
12.8%
0.002 5
 
6.4%
0.001 6
 
7.7%
0.0 36
46.2%

탁도(NTU)
Real number (ℝ)

Distinct34
Distinct (%)43.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5230769
Minimum-1
Maximum5.8
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)3.8%
Memory size834.0 B
2024-01-10T05:27:22.075396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0.1
Q10.625
median1.3
Q32.1
95-th percentile4.13
Maximum5.8
Range6.8
Interquartile range (IQR)1.475

Descriptive statistics

Standard deviation1.2668524
Coefficient of variation (CV)0.8317718
Kurtosis1.0848797
Mean1.5230769
Median Absolute Deviation (MAD)0.7
Skewness0.9921476
Sum118.8
Variance1.6049151
MonotonicityNot monotonic
2024-01-10T05:27:22.195481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0.4 6
 
7.7%
1.6 6
 
7.7%
0.8 5
 
6.4%
0.7 4
 
5.1%
0.9 4
 
5.1%
0.6 4
 
5.1%
4.3 3
 
3.8%
1.1 3
 
3.8%
2.1 3
 
3.8%
2.2 3
 
3.8%
Other values (24) 37
47.4%
ValueCountFrequency (%)
-1.0 1
 
1.3%
-0.4 2
 
2.6%
0.1 3
3.8%
0.2 2
 
2.6%
0.4 6
7.7%
0.5 2
 
2.6%
0.6 4
5.1%
0.7 4
5.1%
0.8 5
6.4%
0.9 4
5.1%
ValueCountFrequency (%)
5.8 1
 
1.3%
4.3 3
3.8%
4.1 1
 
1.3%
3.9 1
 
1.3%
3.8 2
2.6%
3.2 1
 
1.3%
3.1 1
 
1.3%
3.0 1
 
1.3%
2.6 1
 
1.3%
2.5 1
 
1.3%

BOD(mg/L)
Real number (ℝ)

Distinct19
Distinct (%)24.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4384615
Minimum0.2
Maximum3.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2024-01-10T05:27:22.299963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.7
Q11.2
median1.4
Q31.7
95-th percentile2.1
Maximum3.3
Range3.1
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.47788244
Coefficient of variation (CV)0.33221774
Kurtosis2.3956356
Mean1.4384615
Median Absolute Deviation (MAD)0.3
Skewness0.65005228
Sum112.2
Variance0.22837163
MonotonicityNot monotonic
2024-01-10T05:27:22.399508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1.2 10
12.8%
1.4 9
11.5%
1.7 7
9.0%
1.8 6
 
7.7%
1.6 6
 
7.7%
1.5 6
 
7.7%
1.3 5
 
6.4%
0.9 4
 
5.1%
2.1 4
 
5.1%
1.1 4
 
5.1%
Other values (9) 17
21.8%
ValueCountFrequency (%)
0.2 1
 
1.3%
0.6 2
 
2.6%
0.7 2
 
2.6%
0.8 2
 
2.6%
0.9 4
 
5.1%
1.0 3
 
3.8%
1.1 4
 
5.1%
1.2 10
12.8%
1.3 5
6.4%
1.4 9
11.5%
ValueCountFrequency (%)
3.3 1
 
1.3%
2.5 2
 
2.6%
2.1 4
5.1%
2.0 1
 
1.3%
1.9 3
 
3.8%
1.8 6
7.7%
1.7 7
9.0%
1.6 6
7.7%
1.5 6
7.7%
1.4 9
11.5%

pH
Real number (ℝ)

Distinct21
Distinct (%)26.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8179487
Minimum6.4
Maximum10.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2024-01-10T05:27:22.499958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.4
5-th percentile7.1
Q17.5
median7.8
Q38
95-th percentile8.715
Maximum10.7
Range4.3
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.579239
Coefficient of variation (CV)0.074090918
Kurtosis8.5173949
Mean7.8179487
Median Absolute Deviation (MAD)0.2
Skewness1.9379134
Sum609.8
Variance0.33551782
MonotonicityNot monotonic
2024-01-10T05:27:22.593740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
7.8 19
24.4%
7.5 8
10.3%
8.0 8
10.3%
7.6 7
 
9.0%
7.4 7
 
9.0%
7.9 5
 
6.4%
8.1 4
 
5.1%
7.7 3
 
3.8%
7.1 3
 
3.8%
8.5 2
 
2.6%
Other values (11) 12
15.4%
ValueCountFrequency (%)
6.4 1
 
1.3%
6.8 2
 
2.6%
7.1 3
 
3.8%
7.3 1
 
1.3%
7.4 7
 
9.0%
7.5 8
10.3%
7.6 7
 
9.0%
7.7 3
 
3.8%
7.8 19
24.4%
7.9 5
 
6.4%
ValueCountFrequency (%)
10.7 1
 
1.3%
9.7 1
 
1.3%
9.0 1
 
1.3%
8.8 1
 
1.3%
8.7 1
 
1.3%
8.6 1
 
1.3%
8.5 2
2.6%
8.3 1
 
1.3%
8.2 1
 
1.3%
8.1 4
5.1%

COD(mg/L)
Real number (ℝ)

Distinct24
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8576923
Minimum1.5
Maximum5.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2024-01-10T05:27:22.698273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.5
5-th percentile2.085
Q12.5
median2.8
Q33.2
95-th percentile3.745
Maximum5.4
Range3.9
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation0.63440723
Coefficient of variation (CV)0.22199984
Kurtosis3.9929634
Mean2.8576923
Median Absolute Deviation (MAD)0.35
Skewness1.2437771
Sum222.9
Variance0.40247253
MonotonicityNot monotonic
2024-01-10T05:27:22.833852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
2.8 8
 
10.3%
3.2 7
 
9.0%
2.5 7
 
9.0%
3.0 6
 
7.7%
2.6 6
 
7.7%
2.7 5
 
6.4%
2.1 4
 
5.1%
2.9 4
 
5.1%
3.5 4
 
5.1%
2.4 3
 
3.8%
Other values (14) 24
30.8%
ValueCountFrequency (%)
1.5 1
 
1.3%
1.6 1
 
1.3%
1.9 1
 
1.3%
2.0 1
 
1.3%
2.1 4
5.1%
2.2 3
3.8%
2.3 3
3.8%
2.4 3
3.8%
2.5 7
9.0%
2.6 6
7.7%
ValueCountFrequency (%)
5.4 1
 
1.3%
5.1 1
 
1.3%
4.0 2
 
2.6%
3.7 1
 
1.3%
3.6 1
 
1.3%
3.5 4
5.1%
3.4 2
 
2.6%
3.3 3
3.8%
3.2 7
9.0%
3.1 3
3.8%

T-N(mg/L)
Real number (ℝ)

HIGH CORRELATION 

Distinct73
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1378462
Minimum1.361
Maximum3.257
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2024-01-10T05:27:22.992769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.361
5-th percentile1.666
Q11.90725
median2.107
Q32.3385
95-th percentile2.738
Maximum3.257
Range1.896
Interquartile range (IQR)0.43125

Descriptive statistics

Standard deviation0.34926338
Coefficient of variation (CV)0.16337162
Kurtosis0.4552959
Mean2.1378462
Median Absolute Deviation (MAD)0.207
Skewness0.63728478
Sum166.752
Variance0.12198491
MonotonicityNot monotonic
2024-01-10T05:27:23.141433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.074 2
 
2.6%
1.839 2
 
2.6%
2.738 2
 
2.6%
2.118 2
 
2.6%
2.519 2
 
2.6%
2.459 1
 
1.3%
2.144 1
 
1.3%
2.138 1
 
1.3%
2.358 1
 
1.3%
1.748 1
 
1.3%
Other values (63) 63
80.8%
ValueCountFrequency (%)
1.361 1
1.3%
1.57 1
1.3%
1.578 1
1.3%
1.615 1
1.3%
1.675 1
1.3%
1.726 1
1.3%
1.734 1
1.3%
1.748 1
1.3%
1.764 1
1.3%
1.786 1
1.3%
ValueCountFrequency (%)
3.257 1
1.3%
2.866 1
1.3%
2.796 1
1.3%
2.738 2
2.6%
2.726 1
1.3%
2.712 1
1.3%
2.689 1
1.3%
2.669 1
1.3%
2.595 1
1.3%
2.567 1
1.3%

측정월
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size756.0 B
12월
11월
10월
09월
08월
Other values (8)
48 

Length

Max length3
Median length3
Mean length2.9230769
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row12월
2nd row11월
3rd row10월
4th row09월
5th row08월

Common Values

ValueCountFrequency (%)
12월 6
 
7.7%
11월 6
 
7.7%
10월 6
 
7.7%
09월 6
 
7.7%
08월 6
 
7.7%
07월 6
 
7.7%
06월 6
 
7.7%
05월 6
 
7.7%
04월 6
 
7.7%
03월 6
 
7.7%
Other values (3) 18
23.1%

Length

2024-01-10T05:27:23.268444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
12월 6
 
7.7%
11월 6
 
7.7%
10월 6
 
7.7%
09월 6
 
7.7%
08월 6
 
7.7%
07월 6
 
7.7%
06월 6
 
7.7%
05월 6
 
7.7%
04월 6
 
7.7%
03월 6
 
7.7%
Other values (3) 18
23.1%

T-P(mg/L)
Real number (ℝ)

Distinct24
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.013038462
Minimum0.001
Maximum0.033
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2024-01-10T05:27:23.363970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.001
5-th percentile0.005
Q10.009
median0.01
Q30.015
95-th percentile0.028
Maximum0.033
Range0.032
Interquartile range (IQR)0.006

Descriptive statistics

Standard deviation0.0067889182
Coefficient of variation (CV)0.52068399
Kurtosis0.74651177
Mean0.013038462
Median Absolute Deviation (MAD)0.003
Skewness1.1609432
Sum1.017
Variance4.6089411 × 10-5
MonotonicityNot monotonic
2024-01-10T05:27:23.467116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.01 16
20.5%
0.009 7
 
9.0%
0.008 5
 
6.4%
0.012 5
 
6.4%
0.007 5
 
6.4%
0.005 4
 
5.1%
0.013 4
 
5.1%
0.011 4
 
5.1%
0.015 4
 
5.1%
0.021 3
 
3.8%
Other values (14) 21
26.9%
ValueCountFrequency (%)
0.001 1
 
1.3%
0.005 4
 
5.1%
0.006 2
 
2.6%
0.007 5
 
6.4%
0.008 5
 
6.4%
0.009 7
9.0%
0.01 16
20.5%
0.011 4
 
5.1%
0.012 5
 
6.4%
0.013 4
 
5.1%
ValueCountFrequency (%)
0.033 1
 
1.3%
0.031 1
 
1.3%
0.029 1
 
1.3%
0.028 2
2.6%
0.025 2
2.6%
0.024 1
 
1.3%
0.023 3
3.8%
0.021 3
3.8%
0.02 1
 
1.3%
0.019 1
 
1.3%

전기전도도
Real number (ℝ)

HIGH CORRELATION 

Distinct56
Distinct (%)71.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.44872
Minimum95
Maximum284
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2024-01-10T05:27:23.583857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95
5-th percentile103.25
Q1119
median139
Q3156
95-th percentile197.6
Maximum284
Range189
Interquartile range (IQR)37

Descriptive statistics

Standard deviation30.91196
Coefficient of variation (CV)0.21853828
Kurtosis4.8732966
Mean141.44872
Median Absolute Deviation (MAD)18
Skewness1.5480383
Sum11033
Variance955.54928
MonotonicityNot monotonic
2024-01-10T05:27:23.707461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
147 3
 
3.8%
145 3
 
3.8%
119 3
 
3.8%
156 3
 
3.8%
152 3
 
3.8%
157 3
 
3.8%
154 2
 
2.6%
130 2
 
2.6%
138 2
 
2.6%
125 2
 
2.6%
Other values (46) 52
66.7%
ValueCountFrequency (%)
95 2
2.6%
99 2
2.6%
104 1
1.3%
105 1
1.3%
107 1
1.3%
109 1
1.3%
110 2
2.6%
112 1
1.3%
113 1
1.3%
114 1
1.3%
ValueCountFrequency (%)
284 1
1.3%
213 1
1.3%
202 1
1.3%
201 1
1.3%
197 1
1.3%
192 1
1.3%
188 1
1.3%
173 1
1.3%
172 1
1.3%
171 1
1.3%

댐코드
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size756.0 B
3203110
26 
3008110
26 
3001110
26 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3203110
2nd row3203110
3rd row3203110
4th row3203110
5th row3203110

Common Values

ValueCountFrequency (%)
3203110 26
33.3%
3008110 26
33.3%
3001110 26
33.3%

Length

2024-01-10T05:27:23.828210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:27:23.915009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3203110 26
33.3%
3008110 26
33.3%
3001110 26
33.3%

댐이름
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size756.0 B
보령댐
26 
대청댐
26 
용담댐
26 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보령댐 26
33.3%
대청댐 26
33.3%
용담댐 26
33.3%

Length

2024-01-10T05:27:24.004313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:27:24.098174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보령댐 26
33.3%
대청댐 26
33.3%
용담댐 26
33.3%

측정년도
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size756.0 B
2021
39 
2022
39 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 39
50.0%
2022 39
50.0%

Length

2024-01-10T05:27:24.190135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:27:24.282302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 39
50.0%
2022 39
50.0%

Interactions

2024-01-10T05:27:19.321392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:27:08.685320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:27:09.592877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:27:10.490025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:27:11.361258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:27:12.502462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:27:13.457660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:27:14.413761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:27:15.309915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:27:16.163650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:27:17.339165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:27:18.304192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:27:19.417112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/