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

Categorical3
Numeric2

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 12:56:12.368737
Analysis finished2023-12-10 12:56:13.827877
Duration1.46 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

2023-12-10T21:56:13.999062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:56:14.179521image/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

2023-12-10T21:56:14.381997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:56:14.563734image/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%
Mean2.0190506 × 1011
Minimum2.0190501 × 1011
Maximum2.0190509 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:56:14.760695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0190501 × 1011
5-th percentile2.0190502 × 1011
Q12.0190504 × 1011
median2.0190506 × 1011
Q32.0190508 × 1011
95-th percentile2.0190509 × 1011
Maximum2.0190509 × 1011
Range81880
Interquartile range (IQR)39697.5

Descriptive statistics

Standard deviation23285.933
Coefficient of variation (CV)1.153311 × 10-7
Kurtosis-0.95217035
Mean2.0190506 × 1011
Median Absolute Deviation (MAD)19595
Skewness-0.21287785
Sum2.0190506 × 1013
Variance5.4223466 × 108
MonotonicityNot monotonic
2023-12-10T21:56:15.010214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201905061340 1
 
1.0%
201905030140 1
 
1.0%
201905040910 1
 
1.0%
201905050040 1
 
1.0%
201905040310 1
 
1.0%
201905030230 1
 
1.0%
201905011850 1
 
1.0%
201905030910 1
 
1.0%
201905050610 1
 
1.0%
201905030540 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
201905010420 1
1.0%
201905011500 1
1.0%
201905011850 1
1.0%
201905020440 1
1.0%
201905020510 1
1.0%
201905021010 1
1.0%
201905021230 1
1.0%
201905021450 1
1.0%
201905021940 1
1.0%
201905022140 1
1.0%
ValueCountFrequency (%)
201905092300 1
1.0%
201905092230 1
1.0%
201905092210 1
1.0%
201905091810 1
1.0%
201905091700 1
1.0%
201905091450 1
1.0%
201905091250 1
1.0%
201905091000 1
1.0%
201905090730 1
1.0%
201905090700 1
1.0%

수위(m)
Real number (ℝ)

Distinct7
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.0522
Minimum37.99
Maximum38.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:56:15.230904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.99
5-th percentile38.0295
Q138.05
median38.06
Q338.06
95-th percentile38.06
Maximum38.06
Range0.07
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.012108933
Coefficient of variation (CV)0.000318219
Kurtosis9.0107181
Mean38.0522
Median Absolute Deviation (MAD)0
Skewness-2.6986899
Sum3805.22
Variance0.00014662626
MonotonicityNot monotonic
2023-12-10T21:56:15.465872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
38.06 51
51.0%
38.05 37
37.0%
38.04 5
 
5.0%
38.03 2
 
2.0%
38.01 2
 
2.0%
38.02 2
 
2.0%
37.99 1
 
1.0%
ValueCountFrequency (%)
37.99 1
 
1.0%
38.01 2
 
2.0%
38.02 2
 
2.0%
38.03 2
 
2.0%
38.04 5
 
5.0%
38.05 37
37.0%
38.06 51
51.0%
ValueCountFrequency (%)
38.06 51
51.0%
38.05 37
37.0%
38.04 5
 
5.0%
38.03 2
 
2.0%
38.02 2
 
2.0%
38.01 2
 
2.0%
37.99 1
 
1.0%

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

2023-12-10T21:56:15.706494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:56:15.890157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

Interactions

2023-12-10T21:56:13.264004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:56:13.010102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:56:13.418396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:56:13.121529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T21:56:16.012028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계측시각수위(m)
계측시각1.0000.872
수위(m)0.8721.000
2023-12-10T21:56:16.192270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계측시각수위(m)
계측시각1.0000.218
수위(m)0.2181.000

Missing values

2023-12-10T21:56:13.582939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T21:56:13.745138image/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)
0감포020190506134038.060
1감포020190507043038.060
2감포020190505145038.060
3감포020190509055038.050
4감포020190505195038.060
5감포020190506024038.060
6감포020190505070038.060
7감포020190505120038.060
8감포020190509001038.050
9감포020190507072038.060
댐명관측소명계측시각수위(m)유량(ms)
90감포020190506004038.060
91감포020190506235038.060
92감포020190505223038.060
93감포020190509170038.050
94감포020190507050038.060
95감포020190509223038.050
96감포020190506230038.060
97감포020190507113038.060
98감포020190507012038.060
99감포020190508062038.060