Overview

Dataset statistics

Number of variables8
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.1 KiB
Average record size in memory72.3 B

Variable types

Categorical5
Numeric3

Alerts

댐이름 has constant value ""Constant
강우량(mm) has constant value ""Constant
저수율 has constant value ""Constant
저수량(백만m3) is highly overall correlated with 일자/시간(t) and 3 other fieldsHigh correlation
저수위(m) is highly overall correlated with 일자/시간(t) and 3 other fieldsHigh correlation
일자/시간(t) is highly overall correlated with 유입량(ms) and 3 other fieldsHigh correlation
유입량(ms) is highly overall correlated with 일자/시간(t) and 3 other fieldsHigh correlation
방류량(ms) is highly overall correlated with 일자/시간(t) and 3 other fieldsHigh correlation
일자/시간(t) has unique valuesUnique

Reproduction

Analysis started2023-12-10 10:25:00.074775
Analysis finished2023-12-10 10:25:02.137344
Duration2.06 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

댐이름
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
군남
100 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
군남 100
100.0%

Length

2023-12-10T19:25:02.256824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:25:02.416866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
군남 100
100.0%

일자/시간(t)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0210729 × 109
Minimum2.0210726 × 109
Maximum2.0210731 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:25:02.622794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0210726 × 109
5-th percentile2.0210727 × 109
Q12.0210727 × 109
median2.0210729 × 109
Q32.021073 × 109
95-th percentile2.021073 × 109
Maximum2.0210731 × 109
Range479
Interquartile range (IQR)277.5

Descriptive statistics

Standard deviation120.31461
Coefficient of variation (CV)5.9530072 × 10-8
Kurtosis-1.1470049
Mean2.0210729 × 109
Median Absolute Deviation (MAD)139
Skewness0
Sum2.0210729 × 1011
Variance14475.606
MonotonicityNot monotonic
2023-12-10T19:25:02.931447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2021072812 1
 
1.0%
2021073023 1
 
1.0%
2021073004 1
 
1.0%
2021073007 1
 
1.0%
2021073008 1
 
1.0%
2021073010 1
 
1.0%
2021073011 1
 
1.0%
2021073015 1
 
1.0%
2021073016 1
 
1.0%
2021073018 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
2021072623 1
1.0%
2021072624 1
1.0%
2021072701 1
1.0%
2021072702 1
1.0%
2021072703 1
1.0%
2021072704 1
1.0%
2021072705 1
1.0%
2021072706 1
1.0%
2021072707 1
1.0%
2021072708 1
1.0%
ValueCountFrequency (%)
2021073102 1
1.0%
2021073101 1
1.0%
2021073024 1
1.0%
2021073023 1
1.0%
2021073022 1
1.0%
2021073021 1
1.0%
2021073020 1
1.0%
2021073019 1
1.0%
2021073018 1
1.0%
2021073017 1
1.0%

저수위(m)
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
23.33
47 
23.34
33 
23.35
20 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row23.34
2nd row23.35
3rd row23.33
4th row23.34
5th row23.35

Common Values

ValueCountFrequency (%)
23.33 47
47.0%
23.34 33
33.0%
23.35 20
20.0%

Length

2023-12-10T19:25:03.222406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:25:03.406364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
23.33 47
47.0%
23.34 33
33.0%
23.35 20
20.0%

강우량(mm)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

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 (%)
0 100
100.0%

Length

2023-12-10T19:25:03.587969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:25:03.740477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

유입량(ms)
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.85759
Minimum19.63
Maximum23.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:25:03.869404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19.63
5-th percentile21
Q121
median22.4
Q322.4
95-th percentile23.1
Maximum23.7
Range4.07
Interquartile range (IQR)1.4

Descriptive statistics

Standard deviation0.9277227
Coefficient of variation (CV)0.042443961
Kurtosis-1.3688658
Mean21.85759
Median Absolute Deviation (MAD)0.7
Skewness0.060076623
Sum2185.759
Variance0.86066942
MonotonicityNot monotonic
2023-12-10T19:25:04.058079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
21.0 45
45.0%
22.4 31
31.0%
23.1 20
20.0%
20.792 1
 
1.0%
19.63 1
 
1.0%
23.7 1
 
1.0%
20.237 1
 
1.0%
ValueCountFrequency (%)
19.63 1
 
1.0%
20.237 1
 
1.0%
20.792 1
 
1.0%
21.0 45
45.0%
22.4 31
31.0%
23.1 20
20.0%
23.7 1
 
1.0%
ValueCountFrequency (%)
23.7 1
 
1.0%
23.1 20
20.0%
22.4 31
31.0%
21.0 45
45.0%
20.792 1
 
1.0%
20.237 1
 
1.0%
19.63 1
 
1.0%

방류량(ms)
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.89787
Minimum21
Maximum23.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:25:04.272834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile21
Q121
median22.4
Q322.4
95-th percentile23.1
Maximum23.1
Range2.1
Interquartile range (IQR)1.4

Descriptive statistics

Standard deviation0.86498914
Coefficient of variation (CV)0.039501063
Kurtosis-1.6796772
Mean21.89787
Median Absolute Deviation (MAD)0.7
Skewness0.10977158
Sum2189.787
Variance0.74820622
MonotonicityNot monotonic
2023-12-10T19:25:04.467310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
21.0 45
45.0%
22.4 31
31.0%
23.1 20
20.0%
22.82 1
 
1.0%
21.63 1
 
1.0%
21.7 1
 
1.0%
22.237 1
 
1.0%
ValueCountFrequency (%)
21.0 45
45.0%
21.63 1
 
1.0%
21.7 1
 
1.0%
22.237 1
 
1.0%
22.4 31
31.0%
22.82 1
 
1.0%
23.1 20
20.0%
ValueCountFrequency (%)
23.1 20
20.0%
22.82 1
 
1.0%
22.4 31
31.0%
22.237 1
 
1.0%
21.7 1
 
1.0%
21.63 1
 
1.0%
21.0 45
45.0%

저수량(백만m3)
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1.208
47 
1.216
33 
1.223
20 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.216
2nd row1.223
3rd row1.208
4th row1.216
5th row1.223

Common Values

ValueCountFrequency (%)
1.208 47
47.0%
1.216 33
33.0%
1.223 20
20.0%

Length

2023-12-10T19:25:04.657774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:25:04.821728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.208 47
47.0%
1.216 33
33.0%
1.223 20
20.0%

저수율
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1.7
100 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.7
2nd row1.7
3rd row1.7
4th row1.7
5th row1.7

Common Values

ValueCountFrequency (%)
1.7 100
100.0%

Length

2023-12-10T19:25:04.998274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:25:05.154882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.7 100
100.0%

Interactions

2023-12-10T19:25:01.333652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:25:00.378185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:25:00.862915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:25:01.469017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:25:00.531174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:25:01.026685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:25:01.622573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:25:00.701061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:25:01.189330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T19:25:05.235556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일자/시간(t)저수위(m)유입량(ms)방류량(ms)저수량(백만m3)
일자/시간(t)1.0000.9330.7650.8060.933
저수위(m)0.9331.0001.0001.0001.000
유입량(ms)0.7651.0001.0001.0001.000
방류량(ms)0.8061.0001.0001.0001.000
저수량(백만m3)0.9331.0001.0001.0001.000
2023-12-10T19:25:05.398135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
저수량(백만m3)저수위(m)
저수량(백만m3)1.0001.000
저수위(m)1.0001.000
2023-12-10T19:25:05.537714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일자/시간(t)유입량(ms)방류량(ms)저수위(m)저수량(백만m3)
일자/시간(t)1.000-0.789-0.8700.8790.879
유입량(ms)-0.7891.0000.9080.9790.979
방류량(ms)-0.8700.9081.0000.9790.979
저수위(m)0.8790.9790.9791.0001.000
저수량(백만m3)0.8790.9790.9791.0001.000

Missing values

2023-12-10T19:25:01.832794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T19:25:02.049958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

댐이름일자/시간(t)저수위(m)강우량(mm)유입량(ms)방류량(ms)저수량(백만m3)저수율
0군남202107281223.34022.422.41.2161.7
1군남202107270123.35023.123.11.2231.7
2군남202107292023.33021.021.01.2081.7
3군남202107281323.34022.422.41.2161.7
4군남202107271723.35023.123.11.2231.7
5군남202107270223.35023.123.11.2231.7
6군남202107301223.33021.021.01.2081.7
7군남202107292123.33021.021.01.2081.7
8군남202107290523.33021.021.01.2081.7
9군남202107281423.34022.422.41.2161.7
댐이름일자/시간(t)저수위(m)강우량(mm)유입량(ms)방류량(ms)저수량(백만m3)저수율
90군남202107282123.33021.021.01.2081.7
91군남202107282023.33020.23722.2371.2081.7
92군남202107281823.34022.422.41.2161.7
93군남202107281723.34022.422.41.2161.7
94군남202107281123.34022.422.41.2161.7
95군남202107281023.34022.422.41.2161.7
96군남202107280823.34022.422.41.2161.7
97군남202107280723.34022.422.41.2161.7
98군남202107262323.35023.123.11.2231.7
99군남202107262423.35023.123.11.2231.7