Overview

Dataset statistics

Number of variables6
Number of observations1120
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory58.1 KiB
Average record size in memory53.1 B

Variable types

Numeric4
Categorical2

Alerts

tco_btc_u_ct is highly overall correlated with tco_btc_u_amHigh correlation
tco_btc_u_am is highly overall correlated with tco_btc_u_ctHigh correlation
tco_btc_u_am has unique valuesUnique

Reproduction

Analysis started2024-03-03 19:56:02.250955
Analysis finished2024-03-03 19:56:04.823098
Duration2.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

crym
Real number (ℝ)

Distinct20
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202216.3
Minimum202110
Maximum202305
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2024-03-04T04:56:04.875194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202110
5-th percentile202110.95
Q1202202.75
median202207.5
Q3202234.25
95-th percentile202304.05
Maximum202305
Range195
Interquartile range (IQR)31.5

Descriptive statistics

Standard deviation60.091881
Coefficient of variation (CV)0.00029716636
Kurtosis-0.49176595
Mean202216.3
Median Absolute Deviation (MAD)5
Skewness-0.059535514
Sum2.2648226 × 108
Variance3611.0341
MonotonicityIncreasing
2024-03-04T04:56:05.003031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
202110 56
 
5.0%
202209 56
 
5.0%
202305 56
 
5.0%
202304 56
 
5.0%
202303 56
 
5.0%
202302 56
 
5.0%
202301 56
 
5.0%
202212 56
 
5.0%
202211 56
 
5.0%
202210 56
 
5.0%
Other values (10) 560
50.0%
ValueCountFrequency (%)
202110 56
5.0%
202111 56
5.0%
202112 56
5.0%
202201 56
5.0%
202202 56
5.0%
202203 56
5.0%
202204 56
5.0%
202205 56
5.0%
202206 56
5.0%
202207 56
5.0%
ValueCountFrequency (%)
202305 56
5.0%
202304 56
5.0%
202303 56
5.0%
202302 56
5.0%
202301 56
5.0%
202212 56
5.0%
202211 56
5.0%
202210 56
5.0%
202209 56
5.0%
202208 56
5.0%

tco_btc_nm
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
백화점
280 
할인점
280 
슈퍼마켓
280 
편의점
280 

Length

Max length4
Median length3
Mean length3.25
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
백화점 280
25.0%
할인점 280
25.0%
슈퍼마켓 280
25.0%
편의점 280
25.0%

Length

2024-03-04T04:56:05.141227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-04T04:56:05.246763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
백화점 280
25.0%
할인점 280
25.0%
슈퍼마켓 280
25.0%
편의점 280
25.0%

ma_fem_dc
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
1
560 
2
560 

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 (%)
1 560
50.0%
2 560
50.0%

Length

2024-03-04T04:56:05.357981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-04T04:56:05.444793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 560
50.0%
2 560
50.0%

agegrp_dc
Real number (ℝ)

Distinct7
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2024-03-04T04:56:05.564869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.0008935
Coefficient of variation (CV)0.50022336
Kurtosis-1.250222
Mean4
Median Absolute Deviation (MAD)2
Skewness0
Sum4480
Variance4.0035746
MonotonicityNot monotonic
2024-03-04T04:56:05.685071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 160
14.3%
2 160
14.3%
3 160
14.3%
4 160
14.3%
5 160
14.3%
6 160
14.3%
7 160
14.3%
ValueCountFrequency (%)
1 160
14.3%
2 160
14.3%
3 160
14.3%
4 160
14.3%
5 160
14.3%
6 160
14.3%
7 160
14.3%
ValueCountFrequency (%)
7 160
14.3%
6 160
14.3%
5 160
14.3%
4 160
14.3%
3 160
14.3%
2 160
14.3%
1 160
14.3%

tco_btc_u_ct
Real number (ℝ)

HIGH CORRELATION 

Distinct1109
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean467040.63
Minimum90
Maximum2038701
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2024-03-04T04:56:05.854753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum90
5-th percentile284.35
Q177679.5
median310920
Q3750745.75
95-th percentile1630881.5
Maximum2038701
Range2038611
Interquartile range (IQR)673066.25

Descriptive statistics

Standard deviation487105.55
Coefficient of variation (CV)1.0429618
Kurtosis0.71037242
Mean467040.63
Median Absolute Deviation (MAD)253504
Skewness1.2276888
Sum5.230855 × 108
Variance2.3727182 × 1011
MonotonicityNot monotonic
2024-03-04T04:56:06.034032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
233 3
 
0.3%
152 2
 
0.2%
176 2
 
0.2%
162 2
 
0.2%
221 2
 
0.2%
177 2
 
0.2%
262 2
 
0.2%
190 2
 
0.2%
218 2
 
0.2%
183 2
 
0.2%
Other values (1099) 1099
98.1%
ValueCountFrequency (%)
90 1
0.1%
95 1
0.1%
98 1
0.1%
106 1
0.1%
118 1
0.1%
120 1
0.1%
127 1
0.1%
141 1
0.1%
151 1
0.1%
152 2
0.2%
ValueCountFrequency (%)
2038701 1
0.1%
2024195 1
0.1%
1972934 1
0.1%
1931901 1
0.1%
1921209 1
0.1%
1909786 1
0.1%
1907491 1
0.1%
1889547 1
0.1%
1884821 1
0.1%
1862652 1
0.1%

tco_btc_u_am
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1120
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6497078 × 1010
Minimum7455798
Maximum1.1820263 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2024-03-04T04:56:06.196586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7455798
5-th percentile13834924
Q12.6709992 × 109
median9.3827683 × 109
Q32.2144976 × 1010
95-th percentile5.8196601 × 1010
Maximum1.1820263 × 1011
Range1.1819518 × 1011
Interquartile range (IQR)1.9473977 × 1010

Descriptive statistics

Standard deviation2.1261371 × 1010
Coefficient of variation (CV)1.2887962
Kurtosis6.1576374
Mean1.6497078 × 1010
Median Absolute Deviation (MAD)7.8326462 × 109
Skewness2.3302316
Sum1.8476727 × 1013
Variance4.5204592 × 1020
MonotonicityNot monotonic
2024-03-04T04:56:06.357094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17420849 1
 
0.1%
21815206037 1
 
0.1%
14828480825 1
 
0.1%
2763099182 1
 
0.1%
13569540 1
 
0.1%
3269447073 1
 
0.1%
8526930796 1
 
0.1%
17115430579 1
 
0.1%
10338753093 1
 
0.1%
32629822285 1
 
0.1%
Other values (1110) 1110
99.1%
ValueCountFrequency (%)
7455798 1
0.1%
7607990 1
0.1%
7980090 1
0.1%
8226950 1
0.1%
8435760 1
0.1%
8817980 1
0.1%
9033890 1
0.1%
9063950 1
0.1%
9319290 1
0.1%
9467700 1
0.1%
ValueCountFrequency (%)
118202633923 1
0.1%
116232760812 1
0.1%
115347663478 1
0.1%
110993623691 1
0.1%
110197300843 1
0.1%
109787742826 1
0.1%
109077006905 1
0.1%
108997218119 1
0.1%
107755988349 1
0.1%
106352041246 1
0.1%

Interactions

2024-03-04T04:56:04.158674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-04T04:56:02.580648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-04T04:56:03.122256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-04T04:56:03.631827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-04T04:56:04.265900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-04T04:56:02.711082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-04T04:56:03.263570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-04T04:56:03.767668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-04T04:56:04.388288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-04T04:56:02.849582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-04T04:56:03.388114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-04T04:56:03.906541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-04T04:56:04.511770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-04T04:56:02.990858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-04T04:56:03.514451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-04T04:56:04.029491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-04T04:56:06.465407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
crymtco_btc_nmma_fem_dcagegrp_dctco_btc_u_cttco_btc_u_am
crym1.0000.0000.0000.0000.0000.000
tco_btc_nm0.0001.0000.0000.0000.4450.528
ma_fem_dc0.0000.0001.0000.0000.4530.336
agegrp_dc0.0000.0000.0001.0000.6660.567
tco_btc_u_ct0.0000.4450.4530.6661.0000.732
tco_btc_u_am0.0000.5280.3360.5670.7321.000
2024-03-04T04:56:06.587462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
tco_btc_nmma_fem_dc
tco_btc_nm1.0000.000
ma_fem_dc0.0001.000
2024-03-04T04:56:06.965171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
crymagegrp_dctco_btc_u_cttco_btc_u_amtco_btc_nmma_fem_dc
crym1.0000.0000.0170.0160.0000.000
agegrp_dc0.0001.0000.3100.3720.0000.000
tco_btc_u_ct0.0170.3101.0000.7120.2810.347
tco_btc_u_am0.0160.3720.7121.0000.3430.257
tco_btc_nm0.0000.0000.2810.3431.0000.000
ma_fem_dc0.0000.0000.3470.2570.0001.000

Missing values

2024-03-04T04:56:04.661428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-04T04:56:04.778138image/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

crymtco_btc_nmma_fem_dcagegrp_dctco_btc_u_cttco_btc_u_am
0202110백화점1115117420849
1202110백화점12420486553138709
2202110백화점1322715134742769615
3202110백화점1436697946184888563
4202110백화점1526828036937831073
5202110백화점1613246219903281731
6202110백화점17511256582689324
7202110백화점2132931818830
8202110백화점2212000516372373199
9202110백화점2350802163611231448
crymtco_btc_nmma_fem_dcagegrp_dctco_btc_u_cttco_btc_u_am
1110202305편의점15143754511414103309
1111202305편의점164104243369545505
1112202305편의점1777182604901350
1113202305편의점21240116802100
1114202305편의점224251782939083198
1115202305편의점2310255097653516371
1116202305편의점24192120913871480096
1117202305편의점25143601210214570071
1118202305편의점264405883500242238
1119202305편의점2791688786963950