Overview

Dataset statistics

Number of variables18
Number of observations100
Missing cells1300
Missing cells (%)72.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.9 KiB
Average record size in memory163.3 B

Variable types

Categorical2
Unsupported13
Numeric3

Dataset

DescriptionSample
Author인천항만공사
URLhttps://www.bigdata-coast.kr/gdsInfo/gdsInfoDetail.do?gdsCd=CT03IPA003

Alerts

WTCH_YR has constant value ""Constant
WTCH_MNTH has constant value ""Constant
WTCH_DD has 100 (100.0%) missing valuesMissing
WTCH_HHS has 100 (100.0%) missing valuesMissing
WTCH_MIN has 100 (100.0%) missing valuesMissing
WTCH_SEC has 100 (100.0%) missing valuesMissing
WTCH_WTRLV has 100 (100.0%) missing valuesMissing
WTCH_WTDP has 100 (100.0%) missing valuesMissing
WTCH_CRSPD has 100 (100.0%) missing valuesMissing
WTCH_CRDRC has 100 (100.0%) missing valuesMissing
WTCH_WTEM has 100 (100.0%) missing valuesMissing
WTCH_SLNTY has 100 (100.0%) missing valuesMissing
SSC_CCTR has 100 (100.0%) missing valuesMissing
MVMN_DRC has 100 (100.0%) missing valuesMissing
MVMN_VE has 100 (100.0%) missing valuesMissing
WTCH_LA has unique valuesUnique
WTCH_LO has unique valuesUnique
WTCH_DD is an unsupported type, check if it needs cleaning or further analysisUnsupported
WTCH_HHS is an unsupported type, check if it needs cleaning or further analysisUnsupported
WTCH_MIN is an unsupported type, check if it needs cleaning or further analysisUnsupported
WTCH_SEC is an unsupported type, check if it needs cleaning or further analysisUnsupported
WTCH_WTRLV is an unsupported type, check if it needs cleaning or further analysisUnsupported
WTCH_WTDP is an unsupported type, check if it needs cleaning or further analysisUnsupported
WTCH_CRSPD is an unsupported type, check if it needs cleaning or further analysisUnsupported
WTCH_CRDRC is an unsupported type, check if it needs cleaning or further analysisUnsupported
WTCH_WTEM is an unsupported type, check if it needs cleaning or further analysisUnsupported
WTCH_SLNTY is an unsupported type, check if it needs cleaning or further analysisUnsupported
SSC_CCTR is an unsupported type, check if it needs cleaning or further analysisUnsupported
MVMN_DRC is an unsupported type, check if it needs cleaning or further analysisUnsupported
MVMN_VE is an unsupported type, check if it needs cleaning or further analysisUnsupported
WTDP_VARTION_QY has 5 (5.0%) zerosZeros

Reproduction

Analysis started2024-03-13 12:28:28.418002
Analysis finished2024-03-13 12:28:31.232512
Duration2.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

WTCH_YR
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2020
100 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2020
5th row2020

Common Values

ValueCountFrequency (%)
2020 100
100.0%

Length

2024-03-13T21:28:31.404230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:28:31.634914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 100
100.0%

WTCH_MNTH
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 100
100.0%

Length

2024-03-13T21:28:31.831417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:28:32.058895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 100
100.0%

WTCH_DD
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

WTCH_HHS
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

WTCH_MIN
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

WTCH_SEC
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

WTCH_LA
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.372757
Minimum37.372061
Maximum37.373684
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-13T21:28:32.280330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.372061
5-th percentile37.372219
Q137.372479
median37.372687
Q337.373038
95-th percentile37.373494
Maximum37.373684
Range0.0016233647
Interquartile range (IQR)0.00055950003

Descriptive statistics

Standard deviation0.0003884244
Coefficient of variation (CV)1.039325 × 10-5
Kurtosis-0.56525392
Mean37.372757
Median Absolute Deviation (MAD)0.00027135951
Skewness0.42377164
Sum3737.2757
Variance1.5087352 × 10-7
MonotonicityNot monotonic
2024-03-13T21:28:32.641333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.37247023030714 1
 
1.0%
37.373136964892815 1
 
1.0%
37.37250858569144 1
 
1.0%
37.37241813251224 1
 
1.0%
37.372327679331455 1
 
1.0%
37.37223722614908 1
 
1.0%
37.37214677296511 1
 
1.0%
37.37358923063122 1
 
1.0%
37.37349877748671 1
 
1.0%
37.37340832434062 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
37.37206111216548 1
1.0%
37.372137186855966 1
1.0%
37.37214198012823 1
1.0%
37.37214677296511 1
1.0%
37.37215156536662 1
1.0%
37.37222284628557 1
1.0%
37.37222764000877 1
1.0%
37.37223243329661 1
1.0%
37.37223722614908 1
1.0%
37.372242018566176 1
1.0%
ValueCountFrequency (%)
37.373684476876 1
1.0%
37.3735940237175 1
1.0%
37.37358923063122 1
1.0%
37.37350357055742 1
1.0%
37.37349877748671 1
1.0%
37.37349398398062 1
1.0%
37.37341311739575 1
1.0%
37.37340832434062 1
1.0%
37.373403530850126 1
1.0%
37.37332266423248 1
1.0%

WTCH_LO
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.50461
Minimum126.50326
Maximum126.50532
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-13T21:28:32.941796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.50326
5-th percentile126.5037
Q1126.50433
median126.50463
Q3126.50505
95-th percentile126.50531
Maximum126.50532
Range0.0020614888
Interquartile range (IQR)0.00072819395

Descriptive statistics

Standard deviation0.00051601496
Coefficient of variation (CV)4.079021 × 10-6
Kurtosis-0.19118466
Mean126.50461
Median Absolute Deviation (MAD)0.00042413507
Skewness-0.6550993
Sum12650.461
Variance2.6627144 × 10-7
MonotonicityNot monotonic
2024-03-13T21:28:33.245296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.50326446840192 1
 
1.0%
126.50483287386328 1
 
1.0%
126.50508091505397 1
 
1.0%
126.50508391260983 1
 
1.0%
126.50508691015231 1
 
1.0%
126.5050899076814 1
 
1.0%
126.5050929051971 1
 
1.0%
126.50481788405358 1
 
1.0%
126.50482088204232 1
 
1.0%
126.50482388001764 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
126.50326146865577 1
1.0%
126.50326446840192 1
1.0%
126.5034855250837 1
1.0%
126.50348852457115 1
1.0%
126.50349152404517 1
1.0%
126.50370958209623 1
1.0%
126.503712581325 1
1.0%
126.50371558054032 1
1.0%
126.50371857974224 1
1.0%
126.5039336396934 1
1.0%
ValueCountFrequency (%)
126.50532295741232 1
1.0%
126.50531996018213 1
1.0%
126.50531696293856 1
1.0%
126.50531396568157 1
1.0%
126.5053109684112 1
1.0%
126.50530797112742 1
1.0%
126.50530497383028 1
1.0%
126.50530197651972 1
1.0%
126.50529897919576 1
1.0%
126.50529598185844 1
1.0%

WTCH_WTRLV
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

WTCH_WTDP
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

WTCH_CRSPD
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

WTCH_CRDRC
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

WTCH_WTEM
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

WTCH_SLNTY
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

SSC_CCTR
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

MVMN_DRC
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

MVMN_VE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

WTDP_VARTION_QY
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)45.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04187
Minimum-0.003
Maximum0.1
Zeros5
Zeros (%)5.0%
Negative1
Negative (%)1.0%
Memory size1.0 KiB
2024-03-13T21:28:33.626855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.003
5-th percentile0
Q10.007
median0.045
Q30.05875
95-th percentile0.098
Maximum0.1
Range0.103
Interquartile range (IQR)0.05175

Descriptive statistics

Standard deviation0.033239156
Coefficient of variation (CV)0.79386569
Kurtosis-1.1285357
Mean0.04187
Median Absolute Deviation (MAD)0.035
Skewness0.34496663
Sum4.187
Variance0.0011048415
MonotonicityNot monotonic
2024-03-13T21:28:33.983217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0.006 6
 
6.0%
0.048 6
 
6.0%
0.007 5
 
5.0%
0.003 5
 
5.0%
0.0 5
 
5.0%
0.05 4
 
4.0%
0.098 4
 
4.0%
0.093 3
 
3.0%
0.095 3
 
3.0%
0.089 3
 
3.0%
Other values (35) 56
56.0%
ValueCountFrequency (%)
-0.003 1
 
1.0%
0.0 5
5.0%
0.001 1
 
1.0%
0.002 2
 
2.0%
0.003 5
5.0%
0.005 1
 
1.0%
0.006 6
6.0%
0.007 5
5.0%
0.008 3
3.0%
0.009 2
 
2.0%
ValueCountFrequency (%)
0.1 2
2.0%
0.098 4
4.0%
0.096 1
 
1.0%
0.095 3
3.0%
0.094 2
2.0%
0.093 3
3.0%
0.091 1
 
1.0%
0.089 3
3.0%
0.077 2
2.0%
0.073 2
2.0%

Interactions

2024-03-13T21:28:29.864575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:28:28.660777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:28:29.316159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:28:30.055904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:28:28.863069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:28:29.529783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:28:30.272242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:28:29.094327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:28:29.685795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T21:28:34.178274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
WTCH_LAWTCH_LOWTDP_VARTION_QY
WTCH_LA1.0000.0000.712
WTCH_LO0.0001.0000.414
WTDP_VARTION_QY0.7120.4141.000
2024-03-13T21:28:34.382469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
WTCH_LAWTCH_LOWTDP_VARTION_QY
WTCH_LA1.000-0.0100.113
WTCH_LO-0.0101.000-0.175
WTDP_VARTION_QY0.113-0.1751.000

Missing values

2024-03-13T21:28:30.575022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T21:28:31.053574image/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

WTCH_YRWTCH_MNTHWTCH_DDWTCH_HHSWTCH_MINWTCH_SECWTCH_LAWTCH_LOWTCH_WTRLVWTCH_WTDPWTCH_CRSPDWTCH_CRDRCWTCH_WTEMWTCH_SLNTYSSC_CCTRMVMN_DRCMVMN_VEWTDP_VARTION_QY
020202<NA><NA><NA><NA>37.37247126.503264<NA><NA><NA><NA><NA><NA><NA><NA><NA>0.006
120202<NA><NA><NA><NA>37.372561126.503261<NA><NA><NA><NA><NA><NA><NA><NA><NA>0.056
220202<NA><NA><NA><NA>37.372475126.503492<NA><NA><NA><NA><NA><NA><NA><NA><NA>0.05
320202<NA><NA><NA><NA>37.372565126.503489<NA><NA><NA><NA><NA><NA><NA><NA><NA>0.05
420202<NA><NA><NA><NA>37.372656126.503486<NA><NA><NA><NA><NA><NA><NA><NA><NA>0.05
520202<NA><NA><NA><NA>37.37248126.503719<NA><NA><NA><NA><NA><NA><NA><NA><NA>0.093
620202<NA><NA><NA><NA>37.37257126.503716<NA><NA><NA><NA><NA><NA><NA><NA><NA>0.048
720202<NA><NA><NA><NA>37.372661126.503713<NA><NA><NA><NA><NA><NA><NA><NA><NA>0.003
820202<NA><NA><NA><NA>37.372751126.50371<NA><NA><NA><NA><NA><NA><NA><NA><NA>0.007
920202<NA><NA><NA><NA>37.372394126.503949<NA><NA><NA><NA><NA><NA><NA><NA><NA>0.095
WTCH_YRWTCH_MNTHWTCH_DDWTCH_HHSWTCH_MINWTCH_SECWTCH_LAWTCH_LOWTCH_WTRLVWTCH_WTDPWTCH_CRSPDWTCH_CRDRCWTCH_WTEMWTCH_SLNTYSSC_CCTRMVMN_DRCMVMN_VEWTDP_VARTION_QY
9020202<NA><NA><NA><NA>37.372242126.505317<NA><NA><NA><NA><NA><NA><NA><NA><NA>-0.003
9120202<NA><NA><NA><NA>37.372332126.505314<NA><NA><NA><NA><NA><NA><NA><NA><NA>-0.0
9220202<NA><NA><NA><NA>37.372423126.505311<NA><NA><NA><NA><NA><NA><NA><NA><NA>0.027
9320202<NA><NA><NA><NA>37.372513126.505308<NA><NA><NA><NA><NA><NA><NA><NA><NA>0.051
9420202<NA><NA><NA><NA>37.372604126.505305<NA><NA><NA><NA><NA><NA><NA><NA><NA>0.053
9520202<NA><NA><NA><NA>37.372694126.505302<NA><NA><NA><NA><NA><NA><NA><NA><NA>0.052
9620202<NA><NA><NA><NA>37.372785126.505299<NA><NA><NA><NA><NA><NA><NA><NA><NA>0.05
9720202<NA><NA><NA><NA>37.372875126.505296<NA><NA><NA><NA><NA><NA><NA><NA><NA>0.043
9820202<NA><NA><NA><NA>37.372966126.505293<NA><NA><NA><NA><NA><NA><NA><NA><NA>0.02
9920202<NA><NA><NA><NA>37.373056126.50529<NA><NA><NA><NA><NA><NA><NA><NA><NA>0.006