Overview

Dataset statistics

Number of variables20
Number of observations100
Missing cells1100
Missing cells (%)55.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.7 KiB
Average record size in memory181.3 B

Variable types

Categorical7
Numeric2
Unsupported11

Dataset

DescriptionSample
Author인하대학교 산학협력단
URLhttps://www.bigdata-coast.kr/gdsInfo/gdsInfoDetail.do?gdsCd=CT03IHU009

Alerts

WTCH_YR has constant value ""Constant
WTCH_MNTH has constant value ""Constant
WTCH_DD has constant value ""Constant
WTCH_HHS has constant value ""Constant
WTCH_MIN has constant value ""Constant
WTCH_SEC has constant value ""Constant
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_WVHGH has 100 (100.0%) missing valuesMissing
WTCH_WVDRCT has 100 (100.0%) missing valuesMissing
WTCH_LA has unique valuesUnique
WTCH_LO has unique valuesUnique
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
WTCH_WVHGH is an unsupported type, check if it needs cleaning or further analysisUnsupported
WTCH_WVDRCT is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-01-14 07:01:44.309457
Analysis finished2024-01-14 07:01:45.248802
Duration0.94 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
2022
100 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 100
100.0%

Length

2024-01-14T16:01:45.310364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T16:01:45.402043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 100
100.0%

WTCH_MNTH
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
4
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 100
100.0%

Length

2024-01-14T16:01:45.532675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T16:01:45.633956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 100
100.0%

WTCH_DD
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
7
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7
2nd row7
3rd row7
4th row7
5th row7

Common Values

ValueCountFrequency (%)
7 100
100.0%

Length

2024-01-14T16:01:45.727017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T16:01:45.813089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7 100
100.0%

WTCH_HHS
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

2024-01-14T16:01:45.898366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T16:01:45.976211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

WTCH_MIN
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

2024-01-14T16:01:46.081159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T16:01:46.197206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

WTCH_SEC
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

2024-01-14T16:01:46.330810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T16:01:46.448509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

WTCH_LA
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.295449
Minimum37.268159
Maximum37.32097
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-01-14T16:01:46.586908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.268159
5-th percentile37.276103
Q137.287799
median37.293506
Q337.303494
95-th percentile37.316139
Maximum37.32097
Range0.052810911
Interquartile range (IQR)0.015695199

Descriptive statistics

Standard deviation0.011981526
Coefficient of variation (CV)0.00032125974
Kurtosis-0.32827427
Mean37.295449
Median Absolute Deviation (MAD)0.0071228182
Skewness0.12077796
Sum3729.5449
Variance0.00014355697
MonotonicityNot monotonic
2024-01-14T16:01:46.771842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.268158840832 1
 
1.0%
37.30980364828808 1
 
1.0%
37.292703202175794 1
 
1.0%
37.291337051175006 1
 
1.0%
37.2898538578032 1
 
1.0%
37.28843368832665 1
 
1.0%
37.287112109637675 1
 
1.0%
37.28634554798218 1
 
1.0%
37.316703213956686 1
 
1.0%
37.315350139432496 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
37.268158840832 1
1.0%
37.270236310507535 1
1.0%
37.27042632140292 1
1.0%
37.273037860020885 1
1.0%
37.27392120472053 1
1.0%
37.2762180516152 1
1.0%
37.27631958590594 1
1.0%
37.27726203341135 1
1.0%
37.27862462574228 1
1.0%
37.280195837347534 1
1.0%
ValueCountFrequency (%)
37.320969752075726 1
1.0%
37.3195333079928 1
1.0%
37.3192817679827 1
1.0%
37.318206069597885 1
1.0%
37.316703213956686 1
1.0%
37.31610963165471 1
1.0%
37.315579005183125 1
1.0%
37.315350139432496 1
1.0%
37.31437627181428 1
1.0%
37.31300539340703 1
1.0%

WTCH_LO
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.53891
Minimum126.52108
Maximum126.55118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-01-14T16:01:46.924708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.52108
5-th percentile126.52443
Q1126.53243
median126.54076
Q3126.54643
95-th percentile126.54967
Maximum126.55118
Range0.030096055
Interquartile range (IQR)0.014003186

Descriptive statistics

Standard deviation0.0084153081
Coefficient of variation (CV)6.6503721 × 10-5
Kurtosis-0.94048355
Mean126.53891
Median Absolute Deviation (MAD)0.0062836439
Skewness-0.45435456
Sum12653.891
Variance7.081741 × 10-5
MonotonicityNot monotonic
2024-01-14T16:01:47.103249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.52631231023204 1
 
1.0%
126.53956445221644 1
 
1.0%
126.54908273329376 1
 
1.0%
126.54751905790017 1
 
1.0%
126.54846075111234 1
 
1.0%
126.54766058044883 1
 
1.0%
126.5475952901112 1
 
1.0%
126.54648174374557 1
 
1.0%
126.52450244202164 1
 
1.0%
126.52917954760959 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
126.52108091645614 1
1.0%
126.52208538100756 1
1.0%
126.52223424208756 1
1.0%
126.52239181024052 1
1.0%
126.52426333702736 1
1.0%
126.52444065704864 1
1.0%
126.52450244202164 1
1.0%
126.52469299567008 1
1.0%
126.52538135609709 1
1.0%
126.525773568187 1
1.0%
ValueCountFrequency (%)
126.5511769713188 1
1.0%
126.55111086280442 1
1.0%
126.55100219345123 1
1.0%
126.55059593453932 1
1.0%
126.55026253411685 1
1.0%
126.54963480460944 1
1.0%
126.54937485279616 1
1.0%
126.54923785578912 1
1.0%
126.54917515090176 1
1.0%
126.5490965115099 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
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0.0
70 
-0.0
23 
-0.001
 
7

Length

Max length6
Median length3
Mean length3.44
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row-0.0
3rd row0.0
4th row0.0
5th row-0.0

Common Values

ValueCountFrequency (%)
0.0 70
70.0%
-0.0 23
 
23.0%
-0.001 7
 
7.0%

Length

2024-01-14T16:01:47.283673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T16:01:47.415653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 93
93.0%
0.001 7
 
7.0%

WTCH_WVHGH
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

WTCH_WVDRCT
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Interactions

2024-01-14T16:01:44.699521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T16:01:44.499521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T16:01:44.784285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T16:01:44.601200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-14T16:01:47.490279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
WTCH_LAWTCH_LOWTDP_VARTION_QY
WTCH_LA1.0000.2430.224
WTCH_LO0.2431.0000.129
WTDP_VARTION_QY0.2240.1291.000
2024-01-14T16:01:47.585497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
WTCH_LAWTCH_LOWTDP_VARTION_QY
WTCH_LA1.000-0.1560.162
WTCH_LO-0.1561.0000.090
WTDP_VARTION_QY0.1620.0901.000

Missing values

2024-01-14T16:01:44.922583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-14T16:01:45.163354image/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_QYWTCH_WVHGHWTCH_WVDRCT
020224700037.268159126.526312<NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA>
120224700037.270426126.534456<NA><NA><NA><NA><NA><NA><NA><NA><NA>-0.0<NA><NA>
220224700037.270236126.52956<NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA>
320224700037.273038126.524441<NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA>
420224700037.276218126.550263<NA><NA><NA><NA><NA><NA><NA><NA><NA>-0.0<NA><NA>
520224700037.27632126.533031<NA><NA><NA><NA><NA><NA><NA><NA><NA>-0.0<NA><NA>
620224700037.273921126.5293<NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA>
720224700037.278625126.527001<NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA>
820224700037.277262126.522392<NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA>
920224700037.280196126.547391<NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA>
WTCH_YRWTCH_MNTHWTCH_DDWTCH_HHSWTCH_MINWTCH_SECWTCH_LAWTCH_LOWTCH_WTRLVWTCH_WTDPWTCH_CRSPDWTCH_CRDRCWTCH_WTEMWTCH_SLNTYSSC_CCTRMVMN_DRCMVMN_VEWTDP_VARTION_QYWTCH_WVHGHWTCH_WVDRCT
9020224700037.319533126.521081<NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA>
9120224700037.286382126.549097<NA><NA><NA><NA><NA><NA><NA><NA><NA>-0.0<NA><NA>
9220224700037.287575126.549175<NA><NA><NA><NA><NA><NA><NA><NA><NA>-0.0<NA><NA>
9320224700037.288742126.549375<NA><NA><NA><NA><NA><NA><NA><NA><NA>-0.0<NA><NA>
9420224700037.289662126.550596<NA><NA><NA><NA><NA><NA><NA><NA><NA>-0.001<NA><NA>
9520224700037.291115126.549635<NA><NA><NA><NA><NA><NA><NA><NA><NA>-0.0<NA><NA>
9620224700037.292222126.551177<NA><NA><NA><NA><NA><NA><NA><NA><NA>-0.0<NA><NA>
9720224700037.293752126.551002<NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA>
9820224700037.29539126.551111<NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA>
9920224700037.296275126.549238<NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA>