Overview

Dataset statistics

Number of variables5
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory49.6 B

Variable types

Numeric1
Categorical4

Dataset

DescriptionSample
Author㈜해안해양기술
URLhttps://www.bigdata-coast.kr/gdsInfo/gdsInfoDetail.do?gdsCd=CT04CMT004

Alerts

LA has constant value ""Constant
SGNFCT_WVHGH has constant value ""Constant
SPR_CYCLE_VAL has constant value ""Constant
LO is highly overall correlated with SPR_WVDRCTHigh correlation
SPR_WVDRCT is highly overall correlated with LOHigh correlation
LO has unique valuesUnique

Reproduction

Analysis started2024-03-13 12:29:56.933314
Analysis finished2024-03-13 12:29:57.667196
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

LO
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125.928
Minimum125.9
Maximum125.956
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-03-13T21:29:57.792722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum125.9
5-th percentile125.9028
Q1125.914
median125.928
Q3125.942
95-th percentile125.9532
Maximum125.956
Range0.056
Interquartile range (IQR)0.028

Descriptive statistics

Standard deviation0.017029386
Coefficient of variation (CV)0.00013523113
Kurtosis-1.2
Mean125.928
Median Absolute Deviation (MAD)0.014
Skewness0
Sum3651.912
Variance0.00029
MonotonicityStrictly increasing
2024-03-13T21:29:58.112177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
125.9 1
 
3.4%
125.902 1
 
3.4%
125.956 1
 
3.4%
125.954 1
 
3.4%
125.952 1
 
3.4%
125.95 1
 
3.4%
125.948 1
 
3.4%
125.946 1
 
3.4%
125.944 1
 
3.4%
125.942 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
125.9 1
3.4%
125.902 1
3.4%
125.904 1
3.4%
125.906 1
3.4%
125.908 1
3.4%
125.91 1
3.4%
125.912 1
3.4%
125.914 1
3.4%
125.916 1
3.4%
125.918 1
3.4%
ValueCountFrequency (%)
125.956 1
3.4%
125.954 1
3.4%
125.952 1
3.4%
125.95 1
3.4%
125.948 1
3.4%
125.946 1
3.4%
125.944 1
3.4%
125.942 1
3.4%
125.94 1
3.4%
125.938 1
3.4%

LA
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
32.9
29 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row32.9
2nd row32.9
3rd row32.9
4th row32.9
5th row32.9

Common Values

ValueCountFrequency (%)
32.9 29
100.0%

Length

2024-03-13T21:29:58.470773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:29:58.695772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
32.9 29
100.0%

SGNFCT_WVHGH
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
0.3
29 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.3
2nd row0.3
3rd row0.3
4th row0.3
5th row0.3

Common Values

ValueCountFrequency (%)
0.3 29
100.0%

Length

2024-03-13T21:29:59.000466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:29:59.187874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.3 29
100.0%

SPR_CYCLE_VAL
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
1.9
29 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.9
2nd row1.9
3rd row1.9
4th row1.9
5th row1.9

Common Values

ValueCountFrequency (%)
1.9 29
100.0%

Length

2024-03-13T21:29:59.368796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:29:59.555732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.9 29
100.0%

SPR_WVDRCT
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
310.3
8 
310.2
7 
310.4
7 
310.5
7 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row310.2
2nd row310.2
3rd row310.2
4th row310.2
5th row310.2

Common Values

ValueCountFrequency (%)
310.3 8
27.6%
310.2 7
24.1%
310.4 7
24.1%
310.5 7
24.1%

Length

2024-03-13T21:29:59.796635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:30:00.023244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
310.3 8
27.6%
310.2 7
24.1%
310.4 7
24.1%
310.5 7
24.1%

Interactions

2024-03-13T21:29:57.090466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T21:30:00.174017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
LOSPR_WVDRCT
LO1.0000.967
SPR_WVDRCT0.9671.000
2024-03-13T21:30:00.322823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
LOSPR_WVDRCT
LO1.0000.789
SPR_WVDRCT0.7891.000

Missing values

2024-03-13T21:29:57.383524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T21:29:57.587856image/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

LOLASGNFCT_WVHGHSPR_CYCLE_VALSPR_WVDRCT
0125.932.90.31.9310.2
1125.90232.90.31.9310.2
2125.90432.90.31.9310.2
3125.90632.90.31.9310.2
4125.90832.90.31.9310.2
5125.9132.90.31.9310.2
6125.91232.90.31.9310.2
7125.91432.90.31.9310.3
8125.91632.90.31.9310.3
9125.91832.90.31.9310.3
LOLASGNFCT_WVHGHSPR_CYCLE_VALSPR_WVDRCT
19125.93832.90.31.9310.4
20125.9432.90.31.9310.4
21125.94232.90.31.9310.4
22125.94432.90.31.9310.5
23125.94632.90.31.9310.5
24125.94832.90.31.9310.5
25125.9532.90.31.9310.5
26125.95232.90.31.9310.5
27125.95432.90.31.9310.5
28125.95632.90.31.9310.5