Overview

Dataset statistics

Number of variables5
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory45.3 B

Variable types

Categorical4
Numeric1

Alerts

댐명 has constant value ""Constant
관측소명 has constant value ""Constant
유량(ms) has constant value ""Constant
계측시각 is highly overall correlated with 수위(m)High correlation
수위(m) is highly overall correlated with 계측시각High correlation
계측시각 has unique valuesUnique

Reproduction

Analysis started2023-12-10 12:56:08.461571
Analysis finished2023-12-10 12:56:09.884736
Duration1.42 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

댐명
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
감포 100
100.0%

Length

2023-12-10T21:56:09.970694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:56:10.093528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
감포 100
100.0%

관측소명
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

2023-12-10T21:56:10.226657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:56:10.349755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

계측시각
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0190609 × 1011
Minimum2.0190601 × 1011
Maximum2.0190609 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:56:10.592228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0190601 × 1011
5-th percentile2.0190608 × 1011
Q12.0190608 × 1011
median2.0190609 × 1011
Q32.0190609 × 1011
95-th percentile2.0190609 × 1011
Maximum2.0190609 × 1011
Range82290
Interquartile range (IQR)8425

Descriptive statistics

Standard deviation11637.541
Coefficient of variation (CV)5.7638385 × 10-8
Kurtosis37.898388
Mean2.0190609 × 1011
Median Absolute Deviation (MAD)420
Skewness-5.9460297
Sum2.0190609 × 1013
Variance1.3543236 × 108
MonotonicityNot monotonic
2023-12-10T21:56:10.810809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201906090110 1
 
1.0%
201906091100 1
 
1.0%
201906090750 1
 
1.0%
201906090820 1
 
1.0%
201906090830 1
 
1.0%
201906090850 1
 
1.0%
201906090900 1
 
1.0%
201906090940 1
 
1.0%
201906090950 1
 
1.0%
201906091010 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
201906010110 1
1.0%
201906010120 1
1.0%
201906082010 1
1.0%
201906082020 1
1.0%
201906082030 1
1.0%
201906082040 1
1.0%
201906082050 1
1.0%
201906082100 1
1.0%
201906082110 1
1.0%
201906082120 1
1.0%
ValueCountFrequency (%)
201906092400 1
1.0%
201906092350 1
1.0%
201906092340 1
1.0%
201906092330 1
1.0%
201906092320 1
1.0%
201906091330 1
1.0%
201906091120 1
1.0%
201906091110 1
1.0%
201906091100 1
1.0%
201906091050 1
1.0%

수위(m)
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
37.78
55 
37.77
43 
37.85
 
2

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row37.78
2nd row37.77
3rd row37.77
4th row37.78
5th row37.78

Common Values

ValueCountFrequency (%)
37.78 55
55.0%
37.77 43
43.0%
37.85 2
 
2.0%

Length

2023-12-10T21:56:11.011353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:56:11.148176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
37.78 55
55.0%
37.77 43
43.0%
37.85 2
 
2.0%

유량(ms)
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

2023-12-10T21:56:11.280738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:56:11.378398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

Interactions

2023-12-10T21:56:09.482405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T21:56:11.444485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계측시각수위(m)
계측시각1.0000.970
수위(m)0.9701.000
2023-12-10T21:56:11.562641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계측시각수위(m)
계측시각1.0000.787
수위(m)0.7871.000

Missing values

2023-12-10T21:56:09.696109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T21:56:09.832664image/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

댐명관측소명계측시각수위(m)유량(ms)
0감포020190609011037.780
1감포020190609234037.770
2감포020190609063037.770
3감포020190609012037.780
4감포020190608220037.780
5감포020190609235037.770
6감포020190609091037.770
7감포020190609064037.770
8감포020190609040037.780
9감포020190609013037.780
댐명관측소명계측시각수위(m)유량(ms)
90감포020190609024037.780
91감포020190609023037.780
92감포020190609021037.780
93감포020190609020037.780
94감포020190609010037.780
95감포020190609005037.780
96감포020190609003037.780
97감포020190609002037.780
98감포020190609232037.770
99감포020190609233037.770