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 has unique valuesUnique

Reproduction

Analysis started2023-12-10 12:56:21.678615
Analysis finished2023-12-10 12:56:23.299925
Duration1.62 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

2023-12-10T21:56:23.387825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:56:23.529082image/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

2023-12-10T21:56:23.670277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:56:23.794326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

계측시각
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0190309 × 1011
Minimum2.0190308 × 1011
Maximum2.0190309 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:56:23.944321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0190308 × 1011
5-th percentile2.0190308 × 1011
Q12.0190309 × 1011
median2.0190309 × 1011
Q32.0190309 × 1011
95-th percentile2.0190309 × 1011
Maximum2.0190309 × 1011
Range9230
Interquartile range (IQR)2715

Descriptive statistics

Standard deviation3683.8249
Coefficient of variation (CV)1.824551 × 10-8
Kurtosis-0.6553355
Mean2.0190309 × 1011
Median Absolute Deviation (MAD)410
Skewness-1.1477586
Sum2.0190309 × 1013
Variance13570566
MonotonicityNot monotonic
2023-12-10T21:56:24.152004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201903090210 1
 
1.0%
201903091200 1
 
1.0%
201903090850 1
 
1.0%
201903090920 1
 
1.0%
201903090930 1
 
1.0%
201903090950 1
 
1.0%
201903091000 1
 
1.0%
201903091040 1
 
1.0%
201903091050 1
 
1.0%
201903091110 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
201903082000 1
1.0%
201903082010 1
1.0%
201903082020 1
1.0%
201903082030 1
1.0%
201903082040 1
1.0%
201903082050 1
1.0%
201903082100 1
1.0%
201903082110 1
1.0%
201903082120 1
1.0%
201903082130 1
1.0%
ValueCountFrequency (%)
201903091230 1
1.0%
201903091220 1
1.0%
201903091210 1
1.0%
201903091200 1
1.0%
201903091150 1
1.0%
201903091140 1
1.0%
201903091130 1
1.0%
201903091120 1
1.0%
201903091110 1
1.0%
201903091100 1
1.0%

수위(m)
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
38.43
87 
38.42
13 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row38.43
2nd row38.43
3rd row38.43
4th row38.43
5th row38.43

Common Values

ValueCountFrequency (%)
38.43 87
87.0%
38.42 13
 
13.0%

Length

2023-12-10T21:56:24.344877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:56:24.476660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
38.43 87
87.0%
38.42 13
 
13.0%

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

2023-12-10T21:56:24.615281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:56:24.739812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

Interactions

2023-12-10T21:56:22.779010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T21:56:24.834419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계측시각수위(m)
계측시각1.0000.186
수위(m)0.1861.000
2023-12-10T21:56:24.949223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계측시각수위(m)
계측시각1.0000.306
수위(m)0.3061.000

Missing values

2023-12-10T21:56:23.115848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T21:56:23.244294image/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)
0감포020190309021038.430
1감포020190308202038.430
2감포020190309073038.430
3감포020190309022038.430
4감포020190308230038.430
5감포020190308203038.430
6감포020190309101038.430
7감포020190309074038.430
8감포020190309050038.430
9감포020190309023038.430
댐명관측소명계측시각수위(m)유량(ms)
90감포020190309034038.430
91감포020190309033038.430
92감포020190309031038.430
93감포020190309030038.430
94감포020190309020038.430
95감포020190309015038.430
96감포020190309013038.430
97감포020190309012038.430
98감포020190308200038.430
99감포020190308201038.430