Overview

Dataset statistics

Number of variables27
Number of observations72
Missing cells583
Missing cells (%)30.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.1 KiB
Average record size in memory242.8 B

Variable types

Categorical10
Numeric17

Dataset

Description공무원 퇴직시 선택하는 퇴직급여중 퇴직연금공제일시금(10년이상 퇴직시 수령)을 선택하는 공무원 수(성별 구분) 데이터로 10년부터 시작됩니다.
URLhttps://www.data.go.kr/data/15053017/fileData.do

Alerts

1년이상 has 34 (47.2%) missing valuesMissing
2년 has 29 (40.3%) missing valuesMissing
3년 has 33 (45.8%) missing valuesMissing
4년 has 33 (45.8%) missing valuesMissing
5년 has 34 (47.2%) missing valuesMissing
6년 has 35 (48.6%) missing valuesMissing
7년 has 39 (54.2%) missing valuesMissing
8년 has 34 (47.2%) missing valuesMissing
9년 has 40 (55.6%) missing valuesMissing
10년 has 32 (44.4%) missing valuesMissing
12년 has 41 (56.9%) missing valuesMissing
14년 has 36 (50.0%) missing valuesMissing
15년 has 39 (54.2%) missing valuesMissing
16년 has 41 (56.9%) missing valuesMissing
18년 has 40 (55.6%) missing valuesMissing
22년 has 43 (59.7%) missing valuesMissing
계 has 1 (1.4%) zerosZeros
1년이상 has 14 (19.4%) zerosZeros
2년 has 11 (15.3%) zerosZeros
3년 has 14 (19.4%) zerosZeros
4년 has 16 (22.2%) zerosZeros
5년 has 16 (22.2%) zerosZeros
6년 has 15 (20.8%) zerosZeros
7년 has 18 (25.0%) zerosZeros
8년 has 16 (22.2%) zerosZeros
9년 has 20 (27.8%) zerosZeros
10년 has 14 (19.4%) zerosZeros
12년 has 22 (30.6%) zerosZeros
14년 has 17 (23.6%) zerosZeros
15년 has 20 (27.8%) zerosZeros
16년 has 21 (29.2%) zerosZeros
18년 has 20 (27.8%) zerosZeros
22년 has 23 (31.9%) zerosZeros

Reproduction

Analysis started2023-12-12 13:08:26.005668
Analysis finished2023-12-12 13:08:26.319425
Duration0.31 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

2023-12-12T22:08:26.416826image/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
계
24 
남
24 
여
24 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row계
2nd row남
3rd row여
4th row계
5th row남

Common Values

ValueCountFrequency (%)
계 24
33.3%
남 24
33.3%
여 24
33.3%

Length

2023-12-12T22:08:26.560943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:08:26.695173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
계 24
33.3%
남 24
33.3%
여 24
33.3%

계
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
2023-12-12T22:08:26.807943image/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
2023-12-12T22:08:26.975592image/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

Distinct6
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size708.0 B
<NA>
33 
1
18 
0
14 
2
 
3
5
 
2

Length

Max length4
Median length1
Mean length2.375
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 33
45.8%
1 18
25.0%
0 14
19.4%
2 3
 
4.2%
5 2
 
2.8%
3 2
 
2.8%

Length

2023-12-12T22:08:27.139978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:08:27.266147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 33
45.8%
1 18
25.0%
0 14
19.4%
2 3
 
4.2%
5 2
 
2.8%
3 2
 
2.8%

1년이상
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)21.1%
Missing34
Missing (%)47.2%
Infinite0
Infinite (%)0.0%
Mean1.5789474
Minimum0
Maximum10
Zeros14
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T22:08:27.388071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile7.15
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.3089904
Coefficient of variation (CV)1.4623606
Kurtosis5.4929295
Mean1.5789474
Median Absolute Deviation (MAD)1
Skewness2.3406643
Sum60
Variance5.3314367
MonotonicityNot monotonic
2023-12-12T22:08:27.523189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 14
19.4%
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%
(Missing) 34
47.2%
ValueCountFrequency (%)
0 14
19.4%
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 14
19.4%

2년
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)20.9%
Missing29
Missing (%)40.3%
Infinite0
Infinite (%)0.0%
Mean2.0465116
Minimum0
Maximum10
Zeros11
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T22:08:27.661951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5
median1
Q32.5
95-th percentile8
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.5256163
Coefficient of variation (CV)1.2341079
Kurtosis2.9739304
Mean2.0465116
Median Absolute Deviation (MAD)1
Skewness1.8609571
Sum88
Variance6.3787375
MonotonicityNot monotonic
2023-12-12T22:08:27.788134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 15
20.8%
0 11
 
15.3%
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%
(Missing) 29
40.3%
ValueCountFrequency (%)
0 11
15.3%
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 11
15.3%

3년
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)17.9%
Missing33
Missing (%)45.8%
Infinite0
Infinite (%)0.0%
Mean3.5897436
Minimum0
Maximum56
Zeros14
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T22:08:27.898238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile26.4
Maximum56
Range56
Interquartile range (IQR)1

Descriptive statistics

Standard deviation10.577329
Coefficient of variation (CV)2.9465417
Kurtosis17.152318
Mean3.5897436
Median Absolute Deviation (MAD)1
Skewness4.0475417
Sum140
Variance111.87989
MonotonicityNot monotonic
2023-12-12T22:08:28.027079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 17
23.6%
0 14
19.4%
2 4
 
5.6%
3 1
 
1.4%
56 1
 
1.4%
30 1
 
1.4%
26 1
 
1.4%
(Missing) 33
45.8%
ValueCountFrequency (%)
0 14
19.4%
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 14
19.4%

4년
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)17.9%
Missing33
Missing (%)45.8%
Infinite0
Infinite (%)0.0%
Mean1.3846154
Minimum0
Maximum10
Zeros16
Zeros (%)22.2%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T22:08:28.166172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4.3
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.0598337
Coefficient of variation (CV)1.4876577
Kurtosis8.1793657
Mean1.3846154
Median Absolute Deviation (MAD)1
Skewness2.6112493
Sum54
Variance4.242915
MonotonicityNot monotonic
2023-12-12T22:08:28.313200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 16
22.2%
1 12
 
16.7%
2 4
 
5.6%
3 3
 
4.2%
4 2
 
2.8%
10 1
 
1.4%
7 1
 
1.4%
(Missing) 33
45.8%
ValueCountFrequency (%)
0 16
22.2%
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 16
22.2%

5년
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)23.7%
Missing34
Missing (%)47.2%
Infinite0
Infinite (%)0.0%
Mean2.0526316
Minimum0
Maximum20
Zeros16
Zeros (%)22.2%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T22:08:28.478965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile8.05
Maximum20
Range20
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.9996444
Coefficient of variation (CV)1.9485447
Kurtosis12.304699
Mean2.0526316
Median Absolute Deviation (MAD)1
Skewness3.3594782
Sum78
Variance15.997155
MonotonicityNot monotonic
2023-12-12T22:08:28.634575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 16
22.2%
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%
(Missing) 34
47.2%
ValueCountFrequency (%)
0 16
22.2%
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 16
22.2%

6년
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)18.9%
Missing35
Missing (%)48.6%
Infinite0
Infinite (%)0.0%
Mean1.5675676
Minimum0
Maximum15
Zeros15
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T22:08:28.769365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile6
Maximum15
Range15
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.9395818
Coefficient of variation (CV)1.8752505
Kurtosis13.371196
Mean1.5675676
Median Absolute Deviation (MAD)1
Skewness3.4826493
Sum58
Variance8.6411411
MonotonicityNot monotonic
2023-12-12T22:08:28.897274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 15
20.8%
1 13
 
18.1%
3 3
 
4.2%
2 3
 
4.2%
15 1
 
1.4%
10 1
 
1.4%
5 1
 
1.4%
(Missing) 35
48.6%
ValueCountFrequency (%)
0 15
20.8%
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 15
20.8%

7년
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)18.2%
Missing39
Missing (%)54.2%
Infinite0
Infinite (%)0.0%
Mean0.90909091
Minimum0
Maximum8
Zeros18
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T22:08:29.030141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3.8
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.6651508
Coefficient of variation (CV)1.8316659
Kurtosis10.636226
Mean0.90909091
Median Absolute Deviation (MAD)0
Skewness3.0493757
Sum30
Variance2.7727273
MonotonicityNot monotonic
2023-12-12T22:08:29.139022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 18
25.0%
1 10
 
13.9%
2 2
 
2.8%
8 1
 
1.4%
5 1
 
1.4%
3 1
 
1.4%
(Missing) 39
54.2%
ValueCountFrequency (%)
0 18
25.0%
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 18
25.0%

8년
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)21.1%
Missing34
Missing (%)47.2%
Infinite0
Infinite (%)0.0%
Mean2.6842105
Minimum0
Maximum32
Zeros16
Zeros (%)22.2%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T22:08:29.265509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile11.8
Maximum32
Range32
Interquartile range (IQR)2

Descriptive statistics

Standard deviation6.238959
Coefficient of variation (CV)2.324318
Kurtosis15.237894
Mean2.6842105
Median Absolute Deviation (MAD)1
Skewness3.8136405
Sum102
Variance38.924609
MonotonicityNot monotonic
2023-12-12T22:08:29.405753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 16
22.2%
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%
(Missing) 34
47.2%
ValueCountFrequency (%)
0 16
22.2%
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 16
22.2%

9년
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)18.8%
Missing40
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean1.3125
Minimum0
Maximum11
Zeros20
Zeros (%)27.8%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T22:08:29.530575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum11
Range11
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.5455527
Coefficient of variation (CV)1.9394687
Kurtosis6.2002718
Mean1.3125
Median Absolute Deviation (MAD)0
Skewness2.4421229
Sum42
Variance6.4798387
MonotonicityNot monotonic
2023-12-12T22:08:29.630157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 20
27.8%
1 5
 
6.9%
6 2
 
2.8%
5 2
 
2.8%
2 2
 
2.8%
11 1
 
1.4%
(Missing) 40
55.6%
ValueCountFrequency (%)
0 20
27.8%
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 20
27.8%

10년
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)27.5%
Missing32
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean2.35
Minimum0
Maximum16
Zeros14
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T22:08:29.735902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile10.1
Maximum16
Range16
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.6623518
Coefficient of variation (CV)1.5584476
Kurtosis5.048996
Mean2.35
Median Absolute Deviation (MAD)1
Skewness2.2665157
Sum94
Variance13.412821
MonotonicityNot monotonic
2023-12-12T22:08:29.837246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 14
19.4%
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%
(Missing) 32
44.4%
ValueCountFrequency (%)
0 14
19.4%
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

Distinct6
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size708.0 B
<NA>
36 
0
18 
1
8 
2
6 
3
 
3

Length

Max length4
Median length2.5
Mean length2.5
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 36
50.0%
0 18
25.0%
1 8
 
11.1%
2 6
 
8.3%
3 3
 
4.2%
5 1
 
1.4%

Length

2023-12-12T22:08:29.960765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:08:30.072784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
50.0%
0 18
25.0%
1 8
 
11.1%
2 6
 
8.3%
3 3
 
4.2%
5 1
 
1.4%

12년
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)25.8%
Missing41
Missing (%)56.9%
Infinite0
Infinite (%)0.0%
Mean1.0322581
Minimum0
Maximum7
Zeros22
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T22:08:30.168811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.5
95-th percentile5.5
Maximum7
Range7
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.9576154
Coefficient of variation (CV)1.8964399
Kurtosis2.901
Mean1.0322581
Median Absolute Deviation (MAD)0
Skewness1.9467478
Sum32
Variance3.8322581
MonotonicityNot monotonic
2023-12-12T22:08:30.274821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 22
30.6%
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%
(Missing) 41
56.9%
ValueCountFrequency (%)
0 22
30.6%
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 22
30.6%

13년
Categorical

Distinct6
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size708.0 B
<NA>
42 
0
21 
1
6 
65
 
1
42
 
1

Length

Max length4
Median length4
Mean length2.7916667
Min length1

Unique

Unique3 ?
Unique (%)4.2%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 42
58.3%
0 21
29.2%
1 6
 
8.3%
65 1
 
1.4%
42 1
 
1.4%
23 1
 
1.4%

Length

2023-12-12T22:08:30.395307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:08:30.497756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
58.3%
0 21
29.2%
1 6
 
8.3%
65 1
 
1.4%
42 1
 
1.4%
23 1
 
1.4%

14년
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)16.7%
Missing36
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum0
Maximum7
Zeros17
Zeros (%)23.6%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T22:08:30.590939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31.25
95-th percentile3.25
Maximum7
Range7
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.4342743
Coefficient of variation (CV)1.4342743
Kurtosis8.0741236
Mean1
Median Absolute Deviation (MAD)1
Skewness2.4607648
Sum36
Variance2.0571429
MonotonicityNot monotonic
2023-12-12T22:08:30.711958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 17
23.6%
1 10
 
13.9%
2 6
 
8.3%
7 1
 
1.4%
3 1
 
1.4%
4 1
 
1.4%
(Missing) 36
50.0%
ValueCountFrequency (%)
0 17
23.6%
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 17
23.6%

15년
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)18.2%
Missing39
Missing (%)54.2%
Infinite0
Infinite (%)0.0%
Mean0.90909091
Minimum0
Maximum8
Zeros20
Zeros (%)27.8%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T22:08:30.807719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.7022712
Coefficient of variation (CV)1.8724983
Kurtosis9.0277647
Mean0.90909091
Median Absolute Deviation (MAD)0
Skewness2.780636
Sum30
Variance2.8977273
MonotonicityNot monotonic
2023-12-12T22:08:30.914701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 20
27.8%
1 7
 
9.7%
2 2
 
2.8%
4 2
 
2.8%
3 1
 
1.4%
8 1
 
1.4%
(Missing) 39
54.2%
ValueCountFrequency (%)
0 20
27.8%
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 20
27.8%

16년
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)22.6%
Missing41
Missing (%)56.9%
Infinite0
Infinite (%)0.0%
Mean1.2903226
Minimum0
Maximum8
Zeros21
Zeros (%)29.2%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T22:08:31.013991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.5
95-th percentile7
Maximum8
Range8
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation2.3831848
Coefficient of variation (CV)1.8469682
Kurtosis2.7585433
Mean1.2903226
Median Absolute Deviation (MAD)0
Skewness1.9213071
Sum40
Variance5.6795699
MonotonicityNot monotonic
2023-12-12T22:08:31.125766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 21
29.2%
3 3
 
4.2%
8 2
 
2.8%
1 2
 
2.8%
6 1
 
1.4%
2 1
 
1.4%
5 1
 
1.4%
(Missing) 41
56.9%
ValueCountFrequency (%)
0 21
29.2%
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 21
29.2%

17년
Categorical

Distinct6
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size708.0 B
<NA>
42 
0
21 
1
5 
7
 
2
6
 
1

Length

Max length4
Median length4
Mean length2.75
Min length1

Unique

Unique2 ?
Unique (%)2.8%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 42
58.3%
0 21
29.2%
1 5
 
6.9%
7 2
 
2.8%
6 1
 
1.4%
5 1
 
1.4%

Length

2023-12-12T22:08:31.251837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:08:31.360150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
58.3%
0 21
29.2%
1 5
 
6.9%
7 2
 
2.8%
6 1
 
1.4%
5 1
 
1.4%

18년
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)25.0%
Missing40
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean1.8125
Minimum0
Maximum19
Zeros20
Zeros (%)27.8%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T22:08:31.446192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile10.6
Maximum19
Range19
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.32873
Coefficient of variation (CV)2.3882648
Kurtosis9.9099622
Mean1.8125
Median Absolute Deviation (MAD)0
Skewness3.1523183
Sum58
Variance18.737903
MonotonicityNot monotonic
2023-12-12T22:08:31.559244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 20
27.8%
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%
(Missing) 40
55.6%
ValueCountFrequency (%)
0 20
27.8%
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 20
27.8%

19년
Categorical

Distinct5
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size708.0 B
<NA>
42 
0
21 
1
7 
4
 
1
3
 
1

Length

Max length4
Median length4
Mean length2.75
Min length1

Unique

Unique2 ?
Unique (%)2.8%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 42
58.3%
0 21
29.2%
1 7
 
9.7%
4 1
 
1.4%
3 1
 
1.4%

Length

2023-12-12T22:08:31.666625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:08:31.780259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
58.3%
0 21
29.2%
1 7
 
9.7%
4 1
 
1.4%
3 1
 
1.4%

20년
Categorical

Distinct6
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size708.0 B
<NA>
40 
0
21 
1
5 
2
 
4
4
 
1

Length

Max length4
Median length4
Mean length2.6666667
Min length1

Unique

Unique2 ?
Unique (%)2.8%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 40
55.6%
0 21
29.2%
1 5
 
6.9%
2 4
 
5.6%
4 1
 
1.4%
3 1
 
1.4%

Length

2023-12-12T22:08:31.900752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:08:32.006355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
55.6%
0 21
29.2%
1 5
 
6.9%
2 4
 
5.6%
4 1
 
1.4%
3 1
 
1.4%

21년
Categorical

Distinct6
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size708.0 B
<NA>
44 
0
23 
2
 
2
5
 
1
4
 
1

Length

Max length4
Median length4
Mean length2.8333333
Min length1

Unique

Unique3 ?
Unique (%)4.2%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 44
61.1%
0 23
31.9%
2 2
 
2.8%
5 1
 
1.4%
4 1
 
1.4%
1 1
 
1.4%

Length

2023-12-12T22:08:32.125232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:08:32.233408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
61.1%
0 23
31.9%
2 2
 
2.8%
5 1
 
1.4%
4 1
 
1.4%
1 1
 
1.4%

22년
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)24.1%
Missing43
Missing (%)59.7%
Infinite0
Infinite (%)0.0%
Mean0.82758621
Minimum0
Maximum7
Zeros23
Zeros (%)31.9%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T22:08:32.332087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.9285258
Coefficient of variation (CV)2.330302
Kurtosis4.6660406
Mean0.82758621
Median Absolute Deviation (MAD)0
Skewness2.3799762
Sum24
Variance3.7192118
MonotonicityNot monotonic
2023-12-12T22:08:32.460865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 23
31.9%
7 1
 
1.4%
6 1
 
1.4%
1 1
 
1.4%
5 1
 
1.4%
3 1
 
1.4%
2 1
 
1.4%
(Missing) 43
59.7%
ValueCountFrequency (%)
0 23
31.9%
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 23
31.9%

23년
Categorical

Distinct5
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size708.0 B
<NA>
45 
0
24 
37
 
1
27
 
1
10
 
1

Length

Max length4
Median length4
Mean length2.9166667
Min length1

Unique

Unique3 ?
Unique (%)4.2%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
62.5%
0 24
33.3%
37 1
 
1.4%
27 1
 
1.4%
10 1
 
1.4%

Length

2023-12-12T22:08:32.622155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:08:33.105333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
62.5%
0 24
33.3%
37 1
 
1.4%
27 1
 
1.4%
10 1
 
1.4%

Sample

구분남여구분계1년미만1년이상2년3년4년5년6년7년8년9년10년11년12년13년14년15년16년17년18년19년20년21년22년23년
010년계5500000000000000000000000
110년남22<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
210년여33<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
311년계111100000000000000000000000
411년남817<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
511년여3<NA>3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
612년계131210000000000000000000000
712년남5122<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
812년여8<NA><NA>8<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
913년계6021300000000000000000000
구분남여구분계1년미만1년이상2년3년4년5년6년7년8년9년10년11년12년13년14년15년16년17년18년19년20년21년22년23년
6230년여101<NA><NA>1<NA><NA><NA><NA><NA><NA>4<NA><NA><NA>11<NA><NA><NA><NA>2<NA><NA><NA>
6331년계33203022210233002030111500
6431년남271<NA>3<NA>2221<NA>221<NA><NA>2<NA>3<NA>11<NA>4<NA><NA>
6531년여61<NA><NA><NA><NA><NA><NA><NA><NA><NA>12<NA><NA><NA><NA><NA><NA><NA><NA>11<NA><NA>
6632년계54118044325012701311102070
6732년남371<NA>4<NA>323<NA>5<NA>115<NA><NA>2111<NA>1<NA>6<NA>
6832년여17<NA>14<NA>12<NA>2<NA><NA><NA>12<NA>11<NA><NA><NA><NA>1<NA>1<NA>
6933년이상계3635895610201583211165365788719432537
7033년이상남23235530714105226103142345715122327
7133년이상여13123426365310562223443<NA>431<NA>210