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 12:56:16.987744
Analysis finished2023-12-10 12:56:18.398968
Duration1.41 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

2023-12-10T21:56:18.533384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:56:18.699301image/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

2023-12-10T21:56:18.877918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:56:19.058577image/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%
Mean2.0190401 × 1011
Minimum2.0190401 × 1011
Maximum2.0190402 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:56:19.292922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0190401 × 1011
5-th percentile2.0190401 × 1011
Q12.0190401 × 1011
median2.0190401 × 1011
Q32.0190401 × 1011
95-th percentile2.0190402 × 1011
Maximum2.0190402 × 1011
Range9470
Interquartile range (IQR)1055

Descriptive statistics

Standard deviation2243.0042
Coefficient of variation (CV)1.110926 × 10-8
Kurtosis8.6010243
Mean2.0190401 × 1011
Median Absolute Deviation (MAD)530
Skewness3.1096354
Sum2.0190401 × 1013
Variance5031067.7
MonotonicityNot monotonic
2023-12-10T21:56:19.647443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201904012050 1
 
1.0%
201904010710 1
 
1.0%
201904011020 1
 
1.0%
201904010950 1
 
1.0%
201904010940 1
 
1.0%
201904010920 1
 
1.0%
201904010910 1
 
1.0%
201904010830 1
 
1.0%
201904010820 1
 
1.0%
201904010800 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
201904010640 1
1.0%
201904010650 1
1.0%
201904010700 1
1.0%
201904010710 1
1.0%
201904010720 1
1.0%
201904010730 1
1.0%
201904010740 1
1.0%
201904010750 1
1.0%
201904010800 1
1.0%
201904010810 1
1.0%
ValueCountFrequency (%)
201904020110 1
1.0%
201904020100 1
1.0%
201904020050 1
1.0%
201904020040 1
1.0%
201904020030 1
1.0%
201904020020 1
1.0%
201904020010 1
1.0%
201904012400 1
1.0%
201904012350 1
1.0%
201904012340 1
1.0%

수위(m)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
38.15
68 
38.16
32 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row38.15
2nd row38.15
3rd row38.16
4th row38.15
5th row38.15

Common Values

ValueCountFrequency (%)
38.15 68
68.0%
38.16 32
32.0%

Length

2023-12-10T21:56:19.929188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:56:20.140530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
38.15 68
68.0%
38.16 32
32.0%

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

2023-12-10T21:56:20.422870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:56:20.638328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

Interactions

2023-12-10T21:56:17.892214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T21:56:20.750483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계측시각수위(m)
계측시각1.0000.504
수위(m)0.5041.000
2023-12-10T21:56:20.957623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계측시각수위(m)
계측시각1.0000.765
수위(m)0.7651.000

Missing values

2023-12-10T21:56:18.136385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T21:56:18.325196image/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)
0감포020190401205038.150
1감포020190401150038.150
2감포020190401114038.160
3감포020190401210038.150
4감포020190401174038.150
5감포020190401151038.150
6감포020190401090038.160
7감포020190401113038.160
8감포020190401234038.150
9감포020190401211038.150
댐명관측소명계측시각수위(m)유량(ms)
90감포020190401222038.150
91감포020190401221038.150
92감포020190401215038.150
93감포020190401214038.150
94감포020190401204038.150
95감포020190401203038.150
96감포020190401201038.150
97감포020190401200038.150
98감포020190401144038.150
99감포020190401145038.150