Overview

Dataset statistics

Number of variables4
Number of observations84
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory37.6 B

Variable types

Categorical2
Numeric2

Dataset

DescriptionSample
Author㈜유에스티21
URLhttps://www.bigdata-coast.kr/gdsInfo/gdsInfoDetail.do?gdsCd=CT01UST010

Alerts

WTCH_YMDHM has constant value ""Constant
WTCH_LO is highly overall correlated with HIGH_WTEM_OCCR_AT_CDHigh correlation
HIGH_WTEM_OCCR_AT_CD is highly overall correlated with WTCH_LOHigh correlation

Reproduction

Analysis started2024-03-13 12:48:33.314302
Analysis finished2024-03-13 12:48:34.217831
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

WTCH_YMDHM
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size804.0 B
202209230000
84 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row202209230000
2nd row202209230000
3rd row202209230000
4th row202209230000
5th row202209230000

Common Values

ValueCountFrequency (%)
202209230000 84
100.0%

Length

2024-03-13T21:48:34.311490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:48:34.484284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
202209230000 84
100.0%

WTCH_LA
Real number (ℝ)

Distinct7
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.08
Minimum20.05
Maximum20.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2024-03-13T21:48:34.619189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20.05
5-th percentile20.05
Q120.06
median20.08
Q320.1
95-th percentile20.11
Maximum20.11
Range0.06
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.020120121
Coefficient of variation (CV)0.0010019981
Kurtosis-1.2527477
Mean20.08
Median Absolute Deviation (MAD)0.02
Skewness0
Sum1686.72
Variance0.00040481928
MonotonicityNot monotonic
2024-03-13T21:48:34.761978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20.05 12
14.3%
20.06 12
14.3%
20.07 12
14.3%
20.08 12
14.3%
20.09 12
14.3%
20.1 12
14.3%
20.11 12
14.3%
ValueCountFrequency (%)
20.05 12
14.3%
20.06 12
14.3%
20.07 12
14.3%
20.08 12
14.3%
20.09 12
14.3%
20.1 12
14.3%
20.11 12
14.3%
ValueCountFrequency (%)
20.11 12
14.3%
20.1 12
14.3%
20.09 12
14.3%
20.08 12
14.3%
20.07 12
14.3%
20.06 12
14.3%
20.05 12
14.3%

WTCH_LO
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.095
Minimum120.04
Maximum120.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2024-03-13T21:48:34.994347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum120.04
5-th percentile120.04
Q1120.0675
median120.095
Q3120.1225
95-th percentile120.15
Maximum120.15
Range0.11
Interquartile range (IQR)0.055

Descriptive statistics

Standard deviation0.034727858
Coefficient of variation (CV)0.00028916989
Kurtosis-1.2174655
Mean120.095
Median Absolute Deviation (MAD)0.03
Skewness0
Sum10087.98
Variance0.0012060241
MonotonicityIncreasing
2024-03-13T21:48:35.644047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
120.04 7
8.3%
120.05 7
8.3%
120.06 7
8.3%
120.07 7
8.3%
120.08 7
8.3%
120.09 7
8.3%
120.1 7
8.3%
120.11 7
8.3%
120.12 7
8.3%
120.13 7
8.3%
Other values (2) 14
16.7%
ValueCountFrequency (%)
120.04 7
8.3%
120.05 7
8.3%
120.06 7
8.3%
120.07 7
8.3%
120.08 7
8.3%
120.09 7
8.3%
120.1 7
8.3%
120.11 7
8.3%
120.12 7
8.3%
120.13 7
8.3%
ValueCountFrequency (%)
120.15 7
8.3%
120.14 7
8.3%
120.13 7
8.3%
120.12 7
8.3%
120.11 7
8.3%
120.1 7
8.3%
120.09 7
8.3%
120.08 7
8.3%
120.07 7
8.3%
120.06 7
8.3%

HIGH_WTEM_OCCR_AT_CD
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
0
48 
1
36 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 48
57.1%
1 36
42.9%

Length

2024-03-13T21:48:35.833142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:48:35.986389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 48
57.1%
1 36
42.9%

Interactions

2024-03-13T21:48:33.751199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:48:33.491385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:48:33.881875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:48:33.637690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T21:48:36.095581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
WTCH_LAWTCH_LOHIGH_WTEM_OCCR_AT_CD
WTCH_LA1.0000.0000.000
WTCH_LO0.0001.0000.995
HIGH_WTEM_OCCR_AT_CD0.0000.9951.000
2024-03-13T21:48:36.250491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
WTCH_LAWTCH_LOHIGH_WTEM_OCCR_AT_CD
WTCH_LA1.0000.0000.000
WTCH_LO0.0001.0000.889
HIGH_WTEM_OCCR_AT_CD0.0000.8891.000

Missing values

2024-03-13T21:48:34.026203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T21:48:34.157055image/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_YMDHMWTCH_LAWTCH_LOHIGH_WTEM_OCCR_AT_CD
020220923000020.05120.041
120220923000020.06120.041
220220923000020.07120.041
320220923000020.08120.041
420220923000020.09120.041
520220923000020.1120.041
620220923000020.11120.041
720220923000020.05120.051
820220923000020.06120.051
920220923000020.07120.051
WTCH_YMDHMWTCH_LAWTCH_LOHIGH_WTEM_OCCR_AT_CD
7420220923000020.09120.140
7520220923000020.1120.140
7620220923000020.11120.140
7720220923000020.05120.150
7820220923000020.06120.150
7920220923000020.07120.150
8020220923000020.08120.150
8120220923000020.09120.150
8220220923000020.1120.150
8320220923000020.11120.150