Overview

Dataset statistics

Number of variables4
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.5 KiB
Average record size in memory36.3 B

Variable types

Categorical3
Numeric1

Alerts

날짜 has constant value ""Constant
누전 여부 has constant value ""Constant

Reproduction

Analysis started2023-12-10 13:15:05.098755
Analysis finished2023-12-10 13:15:05.710827
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2019-01-01
100 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-01-01
2nd row2019-01-01
3rd row2019-01-01
4th row2019-01-01
5th row2019-01-01

Common Values

ValueCountFrequency (%)
2019-01-01 100
100.0%

Length

2023-12-10T22:15:05.854765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:15:05.989365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-01-01 100
100.0%

동
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
222
66 
223
34 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row222
2nd row222
3rd row222
4th row222
5th row222

Common Values

ValueCountFrequency (%)
222 66
66.0%
223 34
34.0%

Length

2023-12-10T22:15:06.132238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:15:06.383477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
222 66
66.0%
223 34
34.0%

호수
Real number (ℝ)

Distinct66
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1429.5
Minimum101
Maximum3302
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:15:06.568580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile201
Q1701
median1301.5
Q32101.25
95-th percentile3101.05
Maximum3302
Range3201
Interquartile range (IQR)1400.25

Descriptive statistics

Standard deviation912.10504
Coefficient of variation (CV)0.63805879
Kurtosis-0.85608871
Mean1429.5
Median Absolute Deviation (MAD)699.5
Skewness0.43775372
Sum142950
Variance831935.61
MonotonicityNot monotonic
2023-12-10T22:15:06.816559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102 2
 
2.0%
1501 2
 
2.0%
1102 2
 
2.0%
1201 2
 
2.0%
1202 2
 
2.0%
1301 2
 
2.0%
1401 2
 
2.0%
1402 2
 
2.0%
1502 2
 
2.0%
1002 2
 
2.0%
Other values (56) 80
80.0%
ValueCountFrequency (%)
101 2
2.0%
102 2
2.0%
201 2
2.0%
202 2
2.0%
301 2
2.0%
302 2
2.0%
401 2
2.0%
402 2
2.0%
501 2
2.0%
502 2
2.0%
ValueCountFrequency (%)
3302 1
1.0%
3301 1
1.0%
3202 1
1.0%
3201 1
1.0%
3102 1
1.0%
3101 1
1.0%
3002 1
1.0%
3001 1
1.0%
2902 1
1.0%
2901 1
1.0%

누전 여부
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

2023-12-10T22:15:07.016789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:15:07.157593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

Interactions

2023-12-10T22:15:05.236460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:15:07.239238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
동호수
동1.0000.502
호수0.5021.000
2023-12-10T22:15:07.374501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
호수동
호수1.0000.369
동0.3691.000

Missing values

2023-12-10T22:15:05.481667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:15:05.620504image/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

날짜동호수누전 여부
02019-01-012221020
12019-01-012222010
22019-01-012222020
32019-01-012223010
42019-01-012223020
52019-01-012224010
62019-01-012224020
72019-01-012225010
82019-01-012225020
92019-01-012226010
날짜동호수누전 여부
902019-01-0122313020
912019-01-0122314010
922019-01-0122314020
932019-01-0122315010
942019-01-0122315020
952019-01-0122316010
962019-01-0122316020
972019-01-0122317010
982019-01-0122317020
992019-01-012221010