Overview

Dataset statistics

Number of variables26
Number of observations72
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.4 KiB
Average record size in memory233.8 B

Variable types

Categorical9
Numeric17

Dataset

Description재직기간(10년 ~ 33년 이상) 퇴직연금공제일시금(1년 미만 ~ 22년) 현황에 대한 데이터입니다. 10년 이상부터 시작됩니다.
URLhttps://www.data.go.kr/data/15054046/fileData.do

Alerts

13년 is highly imbalanced (68.8%)Imbalance
17년 is highly imbalanced (67.7%)Imbalance
19년 is highly imbalanced (66.7%)Imbalance
20년 is highly imbalanced (62.4%)Imbalance
21년 is highly imbalanced (78.6%)Imbalance
has 1 (1.4%) zerosZeros
1년이상 has 48 (66.7%) zerosZeros
2년 has 40 (55.6%) zerosZeros
3년 has 47 (65.3%) zerosZeros
4년 has 49 (68.1%) zerosZeros
5년 has 50 (69.4%) zerosZeros
6년 has 50 (69.4%) zerosZeros
7년 has 57 (79.2%) zerosZeros
8년 has 50 (69.4%) zerosZeros
9년 has 60 (83.3%) zerosZeros
10년 has 46 (63.9%) zerosZeros
12년 has 63 (87.5%) zerosZeros
14년 has 53 (73.6%) zerosZeros
15년 has 59 (81.9%) zerosZeros
16년 has 62 (86.1%) zerosZeros
18년 has 60 (83.3%) zerosZeros
22년 has 66 (91.7%) zerosZeros

Reproduction

Analysis started2023-12-12 10:29:59.443612
Analysis finished2023-12-12 10:29:59.717746
Duration0.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct24
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size708.0 B
10년
 
3
11년
 
3
12년
 
3
13년
 
3
14년
 
3
Other values (19)
57 

Length

Max length5
Median length3
Mean length3.0833333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10년
2nd row10년
3rd row10년
4th row11년
5th row11년

Common Values

ValueCountFrequency (%)
10년 3
 
4.2%
11년 3
 
4.2%
12년 3
 
4.2%
13년 3
 
4.2%
14년 3
 
4.2%
15년 3
 
4.2%
16년 3
 
4.2%
17년 3
 
4.2%
18년 3
 
4.2%
19년 3
 
4.2%
Other values (14) 42
58.3%

Length

2023-12-12T19:29:59.803300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10년 3
 
4.2%
11년 3
 
4.2%
32년 3
 
4.2%
31년 3
 
4.2%
30년 3
 
4.2%
29년 3
 
4.2%
28년 3
 
4.2%
27년 3
 
4.2%
26년 3
 
4.2%
25년 3
 
4.2%
Other values (14) 42
58.3%

남여구분
Categorical

Distinct3
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size708.0 B
24 
24 
24 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
24
33.3%
24
33.3%
24
33.3%

Length

2023-12-12T19:29:59.958453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:30:00.100997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
24
33.3%
24
33.3%
24
33.3%


Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.444444
Minimum0
Maximum363
Zeros1
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T19:30:00.253448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median6
Q312
95-th percentile44.65
Maximum363
Range363
Interquartile range (IQR)9

Descriptive statistics

Standard deviation51.60164
Coefficient of variation (CV)2.7976793
Kurtosis32.187751
Mean18.444444
Median Absolute Deviation (MAD)4
Skewness5.4805073
Sum1328
Variance2662.7293
MonotonicityNot monotonic
2023-12-12T19:30:00.463306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
3 10
13.9%
5 9
12.5%
2 8
 
11.1%
11 5
 
6.9%
6 5
 
6.9%
8 4
 
5.6%
4 4
 
5.6%
13 3
 
4.2%
1 2
 
2.8%
7 2
 
2.8%
Other values (17) 20
27.8%
ValueCountFrequency (%)
0 1
 
1.4%
1 2
 
2.8%
2 8
11.1%
3 10
13.9%
4 4
 
5.6%
5 9
12.5%
6 5
6.9%
7 2
 
2.8%
8 4
 
5.6%
9 1
 
1.4%
ValueCountFrequency (%)
363 1
1.4%
232 1
1.4%
131 1
1.4%
54 1
1.4%
37 1
1.4%
33 1
1.4%
27 1
1.4%
22 1
1.4%
18 1
1.4%
17 2
2.8%

1년미만
Categorical

Distinct5
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size708.0 B
0
47 
1
18 
2
 
3
5
 
2
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row2
3rd row3
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 47
65.3%
1 18
 
25.0%
2 3
 
4.2%
5 2
 
2.8%
3 2
 
2.8%

Length

2023-12-12T19:30:00.636332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:30:00.766835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 47
65.3%
1 18
 
25.0%
2 3
 
4.2%
5 2
 
2.8%
3 2
 
2.8%

1년이상
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.83333333
Minimum0
Maximum10
Zeros48
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T19:30:00.908299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3.9
Maximum10
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.846199
Coefficient of variation (CV)2.2154388
Kurtosis12.072947
Mean0.83333333
Median Absolute Deviation (MAD)0
Skewness3.3320319
Sum60
Variance3.4084507
MonotonicityNot monotonic
2023-12-12T19:30:01.305272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 48
66.7%
1 12
 
16.7%
2 6
 
8.3%
3 2
 
2.8%
10 1
 
1.4%
7 1
 
1.4%
8 1
 
1.4%
5 1
 
1.4%
ValueCountFrequency (%)
0 48
66.7%
1 12
 
16.7%
2 6
 
8.3%
3 2
 
2.8%
5 1
 
1.4%
7 1
 
1.4%
8 1
 
1.4%
10 1
 
1.4%
ValueCountFrequency (%)
10 1
 
1.4%
8 1
 
1.4%
7 1
 
1.4%
5 1
 
1.4%
3 2
 
2.8%
2 6
 
8.3%
1 12
 
16.7%
0 48
66.7%

2년
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2222222
Minimum0
Maximum10
Zeros40
Zeros (%)55.6%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T19:30:01.444008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6.35
Maximum10
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.1897471
Coefficient of variation (CV)1.7916112
Kurtosis6.4151889
Mean1.2222222
Median Absolute Deviation (MAD)0
Skewness2.5307663
Sum88
Variance4.7949922
MonotonicityNot monotonic
2023-12-12T19:30:01.582468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 40
55.6%
1 15
 
20.8%
2 6
 
8.3%
3 3
 
4.2%
4 3
 
4.2%
8 2
 
2.8%
10 1
 
1.4%
9 1
 
1.4%
5 1
 
1.4%
ValueCountFrequency (%)
0 40
55.6%
1 15
 
20.8%
2 6
 
8.3%
3 3
 
4.2%
4 3
 
4.2%
5 1
 
1.4%
8 2
 
2.8%
9 1
 
1.4%
10 1
 
1.4%
ValueCountFrequency (%)
10 1
 
1.4%
9 1
 
1.4%
8 2
 
2.8%
5 1
 
1.4%
4 3
 
4.2%
3 3
 
4.2%
2 6
 
8.3%
1 15
 
20.8%
0 40
55.6%

3년
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9444444
Minimum0
Maximum56
Zeros47
Zeros (%)65.3%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T19:30:01.699395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2.45
Maximum56
Range56
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.9450381
Coefficient of variation (CV)4.0860196
Kurtosis33.38454
Mean1.9444444
Median Absolute Deviation (MAD)0
Skewness5.5921941
Sum140
Variance63.123631
MonotonicityNot monotonic
2023-12-12T19:30:01.804955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 47
65.3%
1 17
 
23.6%
2 4
 
5.6%
3 1
 
1.4%
56 1
 
1.4%
30 1
 
1.4%
26 1
 
1.4%
ValueCountFrequency (%)
0 47
65.3%
1 17
 
23.6%
2 4
 
5.6%
3 1
 
1.4%
26 1
 
1.4%
30 1
 
1.4%
56 1
 
1.4%
ValueCountFrequency (%)
56 1
 
1.4%
30 1
 
1.4%
26 1
 
1.4%
3 1
 
1.4%
2 4
 
5.6%
1 17
 
23.6%
0 47
65.3%

4년
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.75
Minimum0
Maximum10
Zeros49
Zeros (%)68.1%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T19:30:01.941974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3.45
Maximum10
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.6593737
Coefficient of variation (CV)2.2124983
Kurtosis15.410428
Mean0.75
Median Absolute Deviation (MAD)0
Skewness3.5693197
Sum54
Variance2.7535211
MonotonicityNot monotonic
2023-12-12T19:30:02.072160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 49
68.1%
1 12
 
16.7%
2 4
 
5.6%
3 3
 
4.2%
4 2
 
2.8%
10 1
 
1.4%
7 1
 
1.4%
ValueCountFrequency (%)
0 49
68.1%
1 12
 
16.7%
2 4
 
5.6%
3 3
 
4.2%
4 2
 
2.8%
7 1
 
1.4%
10 1
 
1.4%
ValueCountFrequency (%)
10 1
 
1.4%
7 1
 
1.4%
4 2
 
2.8%
3 3
 
4.2%
2 4
 
5.6%
1 12
 
16.7%
0 49
68.1%

5년
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0833333
Minimum0
Maximum20
Zeros50
Zeros (%)69.4%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T19:30:02.193273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4.9
Maximum20
Range20
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.0661716
Coefficient of variation (CV)2.8303123
Kurtosis24.254224
Mean1.0833333
Median Absolute Deviation (MAD)0
Skewness4.6472014
Sum78
Variance9.4014085
MonotonicityNot monotonic
2023-12-12T19:30:02.338850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 50
69.4%
1 10
 
13.9%
2 5
 
6.9%
4 2
 
2.8%
7 1
 
1.4%
3 1
 
1.4%
20 1
 
1.4%
14 1
 
1.4%
6 1
 
1.4%
ValueCountFrequency (%)
0 50
69.4%
1 10
 
13.9%
2 5
 
6.9%
3 1
 
1.4%
4 2
 
2.8%
6 1
 
1.4%
7 1
 
1.4%
14 1
 
1.4%
20 1
 
1.4%
ValueCountFrequency (%)
20 1
 
1.4%
14 1
 
1.4%
7 1
 
1.4%
6 1
 
1.4%
4 2
 
2.8%
3 1
 
1.4%
2 5
 
6.9%
1 10
 
13.9%
0 50
69.4%

6년
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.80555556
Minimum0
Maximum15
Zeros50
Zeros (%)69.4%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T19:30:02.470339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum15
Range15
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.2369426
Coefficient of variation (CV)2.7768943
Kurtosis26.340894
Mean0.80555556
Median Absolute Deviation (MAD)0
Skewness4.8168336
Sum58
Variance5.0039124
MonotonicityNot monotonic
2023-12-12T19:30:02.602672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 50
69.4%
1 13
 
18.1%
3 3
 
4.2%
2 3
 
4.2%
15 1
 
1.4%
10 1
 
1.4%
5 1
 
1.4%
ValueCountFrequency (%)
0 50
69.4%
1 13
 
18.1%
2 3
 
4.2%
3 3
 
4.2%
5 1
 
1.4%
10 1
 
1.4%
15 1
 
1.4%
ValueCountFrequency (%)
15 1
 
1.4%
10 1
 
1.4%
5 1
 
1.4%
3 3
 
4.2%
2 3
 
4.2%
1 13
 
18.1%
0 50
69.4%

7년
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.41666667
Minimum0
Maximum8
Zeros57
Zeros (%)79.2%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T19:30:02.727374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2073717
Coefficient of variation (CV)2.8976921
Kurtosis24.336476
Mean0.41666667
Median Absolute Deviation (MAD)0
Skewness4.5716399
Sum30
Variance1.4577465
MonotonicityNot monotonic
2023-12-12T19:30:02.847364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 57
79.2%
1 10
 
13.9%
2 2
 
2.8%
8 1
 
1.4%
5 1
 
1.4%
3 1
 
1.4%
ValueCountFrequency (%)
0 57
79.2%
1 10
 
13.9%
2 2
 
2.8%
3 1
 
1.4%
5 1
 
1.4%
8 1
 
1.4%
ValueCountFrequency (%)
8 1
 
1.4%
5 1
 
1.4%
3 1
 
1.4%
2 2
 
2.8%
1 10
 
13.9%
0 57
79.2%

8년
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4166667
Minimum0
Maximum32
Zeros50
Zeros (%)69.4%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T19:30:02.987944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum32
Range32
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.7016629
Coefficient of variation (CV)3.3188209
Kurtosis30.126386
Mean1.4166667
Median Absolute Deviation (MAD)0
Skewness5.2856753
Sum102
Variance22.105634
MonotonicityNot monotonic
2023-12-12T19:30:03.097590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 50
69.4%
1 9
 
12.5%
2 5
 
6.9%
3 3
 
4.2%
5 2
 
2.8%
32 1
 
1.4%
22 1
 
1.4%
10 1
 
1.4%
ValueCountFrequency (%)
0 50
69.4%
1 9
 
12.5%
2 5
 
6.9%
3 3
 
4.2%
5 2
 
2.8%
10 1
 
1.4%
22 1
 
1.4%
32 1
 
1.4%
ValueCountFrequency (%)
32 1
 
1.4%
22 1
 
1.4%
10 1
 
1.4%
5 2
 
2.8%
3 3
 
4.2%
2 5
 
6.9%
1 9
 
12.5%
0 50
69.4%

9년
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.58333333
Minimum0
Maximum11
Zeros60
Zeros (%)83.3%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T19:30:03.226068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.805703
Coefficient of variation (CV)3.0954909
Kurtosis17.443902
Mean0.58333333
Median Absolute Deviation (MAD)0
Skewness3.9728082
Sum42
Variance3.2605634
MonotonicityNot monotonic
2023-12-12T19:30:03.344500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 60
83.3%
1 5
 
6.9%
6 2
 
2.8%
5 2
 
2.8%
2 2
 
2.8%
11 1
 
1.4%
ValueCountFrequency (%)
0 60
83.3%
1 5
 
6.9%
2 2
 
2.8%
5 2
 
2.8%
6 2
 
2.8%
11 1
 
1.4%
ValueCountFrequency (%)
11 1
 
1.4%
6 2
 
2.8%
5 2
 
2.8%
2 2
 
2.8%
1 5
 
6.9%
0 60
83.3%

10년
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3055556
Minimum0
Maximum16
Zeros46
Zeros (%)63.9%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T19:30:03.449546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile7.9
Maximum16
Range16
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.958106
Coefficient of variation (CV)2.2657833
Kurtosis11.018768
Mean1.3055556
Median Absolute Deviation (MAD)0
Skewness3.2116547
Sum94
Variance8.7503912
MonotonicityNot monotonic
2023-12-12T19:30:03.563439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 46
63.9%
1 13
 
18.1%
3 5
 
6.9%
12 1
 
1.4%
9 1
 
1.4%
7 1
 
1.4%
4 1
 
1.4%
2 1
 
1.4%
16 1
 
1.4%
10 1
 
1.4%
ValueCountFrequency (%)
0 46
63.9%
1 13
 
18.1%
2 1
 
1.4%
3 5
 
6.9%
4 1
 
1.4%
6 1
 
1.4%
7 1
 
1.4%
9 1
 
1.4%
10 1
 
1.4%
12 1
 
1.4%
ValueCountFrequency (%)
16 1
 
1.4%
12 1
 
1.4%
10 1
 
1.4%
9 1
 
1.4%
7 1
 
1.4%
6 1
 
1.4%
4 1
 
1.4%
3 5
 
6.9%
2 1
 
1.4%
1 13
18.1%

11년
Categorical

Distinct5
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size708.0 B
0
54 
1
2
3
 
3
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 54
75.0%
1 8
 
11.1%
2 6
 
8.3%
3 3
 
4.2%
5 1
 
1.4%

Length

2023-12-12T19:30:03.696743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:30:03.811438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 54
75.0%
1 8
 
11.1%
2 6
 
8.3%
3 3
 
4.2%
5 1
 
1.4%

12년
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.44444444
Minimum0
Maximum7
Zeros63
Zeros (%)87.5%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T19:30:03.942534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.45
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.3726595
Coefficient of variation (CV)3.0884838
Kurtosis11.775066
Mean0.44444444
Median Absolute Deviation (MAD)0
Skewness3.446519
Sum32
Variance1.8841941
MonotonicityNot monotonic
2023-12-12T19:30:04.058424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 63
87.5%
2 3
 
4.2%
6 1
 
1.4%
4 1
 
1.4%
7 1
 
1.4%
5 1
 
1.4%
3 1
 
1.4%
1 1
 
1.4%
ValueCountFrequency (%)
0 63
87.5%
1 1
 
1.4%
2 3
 
4.2%
3 1
 
1.4%
4 1
 
1.4%
5 1
 
1.4%
6 1
 
1.4%
7 1
 
1.4%
ValueCountFrequency (%)
7 1
 
1.4%
6 1
 
1.4%
5 1
 
1.4%
4 1
 
1.4%
3 1
 
1.4%
2 3
 
4.2%
1 1
 
1.4%
0 63
87.5%

13년
Categorical

IMBALANCE 

Distinct5
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size708.0 B
0
63 
1
 
6
65
 
1
42
 
1
23
 
1

Length

Max length2
Median length1
Mean length1.0416667
Min length1

Unique

Unique3 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 63
87.5%
1 6
 
8.3%
65 1
 
1.4%
42 1
 
1.4%
23 1
 
1.4%

Length

2023-12-12T19:30:04.209223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:30:04.323898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 63
87.5%
1 6
 
8.3%
65 1
 
1.4%
42 1
 
1.4%
23 1
 
1.4%

14년
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5
Minimum0
Maximum7
Zeros53
Zeros (%)73.6%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T19:30:04.413617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1258799
Coefficient of variation (CV)2.2517599
Kurtosis16.027086
Mean0.5
Median Absolute Deviation (MAD)0
Skewness3.5324751
Sum36
Variance1.2676056
MonotonicityNot monotonic
2023-12-12T19:30:04.516385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 53
73.6%
1 10
 
13.9%
2 6
 
8.3%
7 1
 
1.4%
3 1
 
1.4%
4 1
 
1.4%
ValueCountFrequency (%)
0 53
73.6%
1 10
 
13.9%
2 6
 
8.3%
3 1
 
1.4%
4 1
 
1.4%
7 1
 
1.4%
ValueCountFrequency (%)
7 1
 
1.4%
4 1
 
1.4%
3 1
 
1.4%
2 6
 
8.3%
1 10
 
13.9%
0 53
73.6%

15년
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.41666667
Minimum0
Maximum8
Zeros59
Zeros (%)81.9%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T19:30:04.618289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.45
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2304814
Coefficient of variation (CV)2.9531554
Kurtosis21.582722
Mean0.41666667
Median Absolute Deviation (MAD)0
Skewness4.2799876
Sum30
Variance1.5140845
MonotonicityNot monotonic
2023-12-12T19:30:04.737384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 59
81.9%
1 7
 
9.7%
2 2
 
2.8%
4 2
 
2.8%
3 1
 
1.4%
8 1
 
1.4%
ValueCountFrequency (%)
0 59
81.9%
1 7
 
9.7%
2 2
 
2.8%
3 1
 
1.4%
4 2
 
2.8%
8 1
 
1.4%
ValueCountFrequency (%)
8 1
 
1.4%
4 2
 
2.8%
3 1
 
1.4%
2 2
 
2.8%
1 7
 
9.7%
0 59
81.9%

16년
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.55555556
Minimum0
Maximum8
Zeros62
Zeros (%)86.1%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T19:30:04.841800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.9
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.67743
Coefficient of variation (CV)3.0193741
Kurtosis11.443936
Mean0.55555556
Median Absolute Deviation (MAD)0
Skewness3.4090727
Sum40
Variance2.8137715
MonotonicityNot monotonic
2023-12-12T19:30:04.959367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 62
86.1%
3 3
 
4.2%
8 2
 
2.8%
1 2
 
2.8%
6 1
 
1.4%
2 1
 
1.4%
5 1
 
1.4%
ValueCountFrequency (%)
0 62
86.1%
1 2
 
2.8%
2 1
 
1.4%
3 3
 
4.2%
5 1
 
1.4%
6 1
 
1.4%
8 2
 
2.8%
ValueCountFrequency (%)
8 2
 
2.8%
6 1
 
1.4%
5 1
 
1.4%
3 3
 
4.2%
2 1
 
1.4%
1 2
 
2.8%
0 62
86.1%

17년
Categorical

IMBALANCE 

Distinct5
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size708.0 B
0
63 
1
 
5
7
 
2
6
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 63
87.5%
1 5
 
6.9%
7 2
 
2.8%
6 1
 
1.4%
5 1
 
1.4%

Length

2023-12-12T19:30:05.134780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:30:05.282408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 63
87.5%
1 5
 
6.9%
7 2
 
2.8%
6 1
 
1.4%
5 1
 
1.4%

18년
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.80555556
Minimum0
Maximum19
Zeros60
Zeros (%)83.3%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T19:30:05.406792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4.45
Maximum19
Range19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.000652
Coefficient of variation (CV)3.7249473
Kurtosis25.623105
Mean0.80555556
Median Absolute Deviation (MAD)0
Skewness4.9316954
Sum58
Variance9.0039124
MonotonicityNot monotonic
2023-12-12T19:30:05.565436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 60
83.3%
1 6
 
8.3%
7 1
 
1.4%
5 1
 
1.4%
2 1
 
1.4%
19 1
 
1.4%
15 1
 
1.4%
4 1
 
1.4%
ValueCountFrequency (%)
0 60
83.3%
1 6
 
8.3%
2 1
 
1.4%
4 1
 
1.4%
5 1
 
1.4%
7 1
 
1.4%
15 1
 
1.4%
19 1
 
1.4%
ValueCountFrequency (%)
19 1
 
1.4%
15 1
 
1.4%
7 1
 
1.4%
5 1
 
1.4%
4 1
 
1.4%
2 1
 
1.4%
1 6
 
8.3%
0 60
83.3%

19년
Categorical

IMBALANCE 

Distinct4
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size708.0 B
0
63 
1
4
 
1
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 63
87.5%
1 7
 
9.7%
4 1
 
1.4%
3 1
 
1.4%

Length

2023-12-12T19:30:05.784322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:30:05.951816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 63
87.5%
1 7
 
9.7%
4 1
 
1.4%
3 1
 
1.4%

20년
Categorical

IMBALANCE 

Distinct5
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size708.0 B
0
61 
1
 
5
2
 
4
4
 
1
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 61
84.7%
1 5
 
6.9%
2 4
 
5.6%
4 1
 
1.4%
3 1
 
1.4%

Length

2023-12-12T19:30:06.102988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:30:06.230235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 61
84.7%
1 5
 
6.9%
2 4
 
5.6%
4 1
 
1.4%
3 1
 
1.4%

21년
Categorical

IMBALANCE 

Distinct5
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size708.0 B
0
67 
2
 
2
5
 
1
4
 
1
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique3 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 67
93.1%
2 2
 
2.8%
5 1
 
1.4%
4 1
 
1.4%
1 1
 
1.4%

Length

2023-12-12T19:30:06.364476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:30:06.472908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 67
93.1%
2 2
 
2.8%
5 1
 
1.4%
4 1
 
1.4%
1 1
 
1.4%

22년
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.33333333
Minimum0
Maximum7
Zeros66
Zeros (%)91.7%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T19:30:06.588944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.45
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.278203
Coefficient of variation (CV)3.8346089
Kurtosis17.195035
Mean0.33333333
Median Absolute Deviation (MAD)0
Skewness4.1714969
Sum24
Variance1.6338028
MonotonicityNot monotonic
2023-12-12T19:30:06.726692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 66
91.7%
7 1
 
1.4%
6 1
 
1.4%
1 1
 
1.4%
5 1
 
1.4%
3 1
 
1.4%
2 1
 
1.4%
ValueCountFrequency (%)
0 66
91.7%
1 1
 
1.4%
2 1
 
1.4%
3 1
 
1.4%
5 1
 
1.4%
6 1
 
1.4%
7 1
 
1.4%
ValueCountFrequency (%)
7 1
 
1.4%
6 1
 
1.4%
5 1
 
1.4%
3 1
 
1.4%
2 1
 
1.4%
1 1
 
1.4%
0 66
91.7%

Sample

구분남여구분1년미만1년이상2년3년4년5년6년7년8년9년10년11년12년13년14년15년16년17년18년19년20년21년22년
010년550000000000000000000000
110년220000000000000000000000
210년330000000000000000000000
311년11110000000000000000000000
411년817000000000000000000000
511년303000000000000000000000
612년13121000000000000000000000
712년512200000000000000000000
812년800800000000000000000000
913년602130000000000000000000
구분남여구분1년미만1년이상2년3년4년5년6년7년8년9년10년11년12년13년14년15년16년17년18년19년20년21년22년
6230년1010010000004000110000200
6331년3320302221023300203011150
6431년2710302221022100203011040
6531년610000000001200000000110
6632년5411804432501270131110207
6732년3710403230501150021110106
6832년1701401202000120110000101
6933년이상36358956102015832111653657887194325
7033년이상232355307141052261031423457151223
7133년이상13123426365310562223443043102