Overview

Dataset statistics

Number of variables8
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows2
Duplicate rows (%)5.6%
Total size in memory2.6 KiB
Average record size in memory74.7 B

Variable types

Numeric7
Categorical1

Dataset

Description특수학급 설치 학교 수
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=5W6TWSKCCUI2LP56OPDT25033619&infSeq=1

Alerts

Dataset has 2 (5.6%) duplicate rowsDuplicates
전체학교수(개) is highly overall correlated with 유치원수(개) and 5 other fieldsHigh correlation
유치원수(개) is highly overall correlated with 전체학교수(개) and 5 other fieldsHigh correlation
초등학교수(개) is highly overall correlated with 전체학교수(개) and 5 other fieldsHigh correlation
중학교수(개) is highly overall correlated with 전체학교수(개) and 5 other fieldsHigh correlation
고등학교수(개) is highly overall correlated with 전체학교수(개) and 5 other fieldsHigh correlation
전공과학교수(개) is highly overall correlated with 전체학교수(개) and 5 other fieldsHigh correlation
학교유형명 is highly overall correlated with 전체학교수(개) and 5 other fieldsHigh correlation
전체학교수(개) has 12 (33.3%) zerosZeros
유치원수(개) has 12 (33.3%) zerosZeros
초등학교수(개) has 12 (33.3%) zerosZeros
중학교수(개) has 12 (33.3%) zerosZeros
고등학교수(개) has 12 (33.3%) zerosZeros
전공과학교수(개) has 24 (66.7%) zerosZeros

Reproduction

Analysis started2023-12-10 22:04:30.737247
Analysis finished2023-12-10 22:04:35.530109
Duration4.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Real number (ℝ)

Distinct11
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2017.4167
Minimum2012
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T07:04:35.581395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2012
5-th percentile2012
Q12014.75
median2017.5
Q32020.25
95-th percentile2022
Maximum2022
Range10
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation3.3753307
Coefficient of variation (CV)0.0016730955
Kurtosis-1.3043393
Mean2017.4167
Median Absolute Deviation (MAD)3
Skewness-0.099156388
Sum72627
Variance11.392857
MonotonicityDecreasing
2023-12-11T07:04:35.691672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2022 6
16.7%
2021 3
8.3%
2020 3
8.3%
2019 3
8.3%
2018 3
8.3%
2017 3
8.3%
2016 3
8.3%
2015 3
8.3%
2014 3
8.3%
2013 3
8.3%
ValueCountFrequency (%)
2012 3
8.3%
2013 3
8.3%
2014 3
8.3%
2015 3
8.3%
2016 3
8.3%
2017 3
8.3%
2018 3
8.3%
2019 3
8.3%
2020 3
8.3%
2021 3
8.3%
ValueCountFrequency (%)
2022 6
16.7%
2021 3
8.3%
2020 3
8.3%
2019 3
8.3%
2018 3
8.3%
2017 3
8.3%
2016 3
8.3%
2015 3
8.3%
2014 3
8.3%
2013 3
8.3%

학교유형명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
공립
12 
국립
12 
사립
12 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공립
2nd row공립
3rd row국립
4th row국립
5th row사립

Common Values

ValueCountFrequency (%)
공립 12
33.3%
국립 12
33.3%
사립 12
33.3%

Length

2023-12-11T07:04:35.807061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:04:35.899848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 12
33.3%
국립 12
33.3%
사립 12
33.3%

전체학교수(개)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct21
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean650.77778
Minimum0
Maximum2304
Zeros12
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T07:04:36.206949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median50
Q31678.5
95-th percentile2198.75
Maximum2304
Range2304
Interquartile range (IQR)1678.5

Descriptive statistics

Standard deviation911.45899
Coefficient of variation (CV)1.4005687
Kurtosis-1.2593921
Mean650.77778
Median Absolute Deviation (MAD)50
Skewness0.82741982
Sum23428
Variance830757.49
MonotonicityNot monotonic
2023-12-11T07:04:36.304778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 12
33.3%
50 3
 
8.3%
52 2
 
5.6%
51 2
 
5.6%
2304 1
 
2.8%
47 1
 
2.8%
35 1
 
2.8%
1480 1
 
2.8%
41 1
 
2.8%
1572 1
 
2.8%
Other values (11) 11
30.6%
ValueCountFrequency (%)
0 12
33.3%
35 1
 
2.8%
41 1
 
2.8%
46 1
 
2.8%
47 1
 
2.8%
50 3
 
8.3%
51 2
 
5.6%
52 2
 
5.6%
59 1
 
2.8%
1480 1
 
2.8%
ValueCountFrequency (%)
2304 1
2.8%
2261 1
2.8%
2178 1
2.8%
2100 1
2.8%
1997 1
2.8%
1929 1
2.8%
1847 1
2.8%
1778 1
2.8%
1740 1
2.8%
1658 1
2.8%

유치원수(개)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct17
Distinct (%)47.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.861111
Minimum0
Maximum352
Zeros12
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T07:04:36.409468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q3129.5
95-th percentile313.25
Maximum352
Range352
Interquartile range (IQR)129.5

Descriptive statistics

Standard deviation113.66848
Coefficient of variation (CV)1.5817801
Kurtosis0.43316739
Mean71.861111
Median Absolute Deviation (MAD)2
Skewness1.3577478
Sum2587
Variance12920.523
MonotonicityNot monotonic
2023-12-11T07:04:36.512771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 12
33.3%
2 6
16.7%
3 3
 
8.3%
1 2
 
5.6%
12 1
 
2.8%
83 1
 
2.8%
92 1
 
2.8%
124 1
 
2.8%
146 1
 
2.8%
165 1
 
2.8%
Other values (7) 7
19.4%
ValueCountFrequency (%)
0 12
33.3%
1 2
 
5.6%
2 6
16.7%
3 3
 
8.3%
12 1
 
2.8%
83 1
 
2.8%
92 1
 
2.8%
124 1
 
2.8%
146 1
 
2.8%
165 1
 
2.8%
ValueCountFrequency (%)
352 1
2.8%
335 1
2.8%
306 1
2.8%
276 1
2.8%
247 1
2.8%
235 1
2.8%
191 1
2.8%
165 1
2.8%
146 1
2.8%
124 1
2.8%

초등학교수(개)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct14
Distinct (%)38.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean333.66667
Minimum0
Maximum1170
Zeros12
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T07:04:36.611802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q3906.5
95-th percentile1130.25
Maximum1170
Range1170
Interquartile range (IQR)906.5

Descriptive statistics

Standard deviation481.94748
Coefficient of variation (CV)1.444398
Kurtosis-1.3647727
Mean333.66667
Median Absolute Deviation (MAD)1
Skewness0.79475197
Sum12012
Variance232273.37
MonotonicityNot monotonic
2023-12-11T07:04:36.711937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 12
33.3%
1 12
33.3%
1170 1
 
2.8%
1146 1
 
2.8%
1125 1
 
2.8%
1093 1
 
2.8%
1036 1
 
2.8%
990 1
 
2.8%
963 1
 
2.8%
933 1
 
2.8%
Other values (4) 4
 
11.1%
ValueCountFrequency (%)
0 12
33.3%
1 12
33.3%
842 1
 
2.8%
876 1
 
2.8%
900 1
 
2.8%
926 1
 
2.8%
933 1
 
2.8%
963 1
 
2.8%
990 1
 
2.8%
1036 1
 
2.8%
ValueCountFrequency (%)
1170 1
2.8%
1146 1
2.8%
1125 1
2.8%
1093 1
2.8%
1036 1
2.8%
990 1
2.8%
963 1
2.8%
933 1
2.8%
926 1
2.8%
900 1
2.8%

중학교수(개)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct19
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean147.11111
Minimum0
Maximum483
Zeros12
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T07:04:36.814266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median28.5
Q3382
95-th percentile454.5
Maximum483
Range483
Interquartile range (IQR)382

Descriptive statistics

Standard deviation193.44158
Coefficient of variation (CV)1.3149352
Kurtosis-1.3944114
Mean147.11111
Median Absolute Deviation (MAD)28.5
Skewness0.7749536
Sum5296
Variance37419.644
MonotonicityNot monotonic
2023-12-11T07:04:36.924126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 12
33.3%
29 3
 
8.3%
30 3
 
8.3%
24 3
 
8.3%
483 1
 
2.8%
25 1
 
2.8%
21 1
 
2.8%
344 1
 
2.8%
364 1
 
2.8%
378 1
 
2.8%
Other values (9) 9
25.0%
ValueCountFrequency (%)
0 12
33.3%
21 1
 
2.8%
24 3
 
8.3%
25 1
 
2.8%
28 1
 
2.8%
29 3
 
8.3%
30 3
 
8.3%
344 1
 
2.8%
364 1
 
2.8%
378 1
 
2.8%
ValueCountFrequency (%)
483 1
2.8%
468 1
2.8%
450 1
2.8%
439 1
2.8%
426 1
2.8%
418 1
2.8%
410 1
2.8%
399 1
2.8%
394 1
2.8%
378 1
2.8%

고등학교수(개)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct18
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.694444
Minimum0
Maximum283
Zeros12
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T07:04:37.035198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median18
Q3249.25
95-th percentile281.25
Maximum283
Range283
Interquartile range (IQR)249.25

Descriptive statistics

Standard deviation122.46371
Coefficient of variation (CV)1.3070542
Kurtosis-1.4532318
Mean93.694444
Median Absolute Deviation (MAD)18
Skewness0.75714178
Sum3373
Variance14997.361
MonotonicityNot monotonic
2023-12-11T07:04:37.134027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 12
33.3%
18 5
13.9%
19 4
 
11.1%
282 1
 
2.8%
259 1
 
2.8%
11 1
 
2.8%
209 1
 
2.8%
14 1
 
2.8%
238 1
 
2.8%
23 1
 
2.8%
Other values (8) 8
22.2%
ValueCountFrequency (%)
0 12
33.3%
11 1
 
2.8%
14 1
 
2.8%
18 5
13.9%
19 4
 
11.1%
23 1
 
2.8%
209 1
 
2.8%
238 1
 
2.8%
246 1
 
2.8%
259 1
 
2.8%
ValueCountFrequency (%)
283 1
2.8%
282 1
2.8%
281 1
2.8%
278 1
2.8%
274 1
2.8%
272 1
2.8%
270 1
2.8%
267 1
2.8%
259 1
2.8%
246 1
2.8%

전공과학교수(개)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8888889
Minimum0
Maximum15
Zeros24
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T07:04:37.223839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310.75
95-th percentile14
Maximum15
Range15
Interquartile range (IQR)10.75

Descriptive statistics

Standard deviation6.1633839
Coefficient of variation (CV)1.5848702
Kurtosis-0.87302918
Mean3.8888889
Median Absolute Deviation (MAD)0
Skewness1.0552926
Sum140
Variance37.987302
MonotonicityNot monotonic
2023-12-11T07:04:37.315438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 24
66.7%
14 7
 
19.4%
2 2
 
5.6%
13 1
 
2.8%
15 1
 
2.8%
10 1
 
2.8%
ValueCountFrequency (%)
0 24
66.7%
2 2
 
5.6%
10 1
 
2.8%
13 1
 
2.8%
14 7
 
19.4%
15 1
 
2.8%
ValueCountFrequency (%)
15 1
 
2.8%
14 7
 
19.4%
13 1
 
2.8%
10 1
 
2.8%
2 2
 
5.6%
0 24
66.7%

Interactions

2023-12-11T07:04:34.755005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:31.027407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:31.713692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:32.331746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:32.958545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:33.574479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:34.166266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:34.827424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:31.123745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:31.825988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:32.435223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:33.033708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:33.651133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:34.261773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:34.899983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:31.203468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:31.895071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:32.521137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:33.116664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:33.730312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:34.336316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:34.983913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:31.309312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:31.975247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:32.602929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:33.210923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:33.824102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:34.427375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:35.065367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:31.435162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:32.057379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:32.706913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:33.319350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:33.900175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:34.510807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:35.141543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:31.521425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:32.141458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:32.791183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:33.404821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:33.982870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:34.590977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:35.216626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:31.600266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:32.227623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:32.875931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:33.487280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:34.062209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:34.665899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:04:37.404024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도학교유형명전체학교수(개)유치원수(개)초등학교수(개)중학교수(개)고등학교수(개)전공과학교수(개)
기준년도1.0000.0000.0000.3390.0000.0000.0000.000
학교유형명0.0001.0000.6840.8740.6500.6500.6500.684
전체학교수(개)0.0000.6841.0000.9721.0000.9190.7950.972
유치원수(개)0.3390.8740.9721.0000.9570.9640.9001.000
초등학교수(개)0.0000.6501.0000.9571.0000.9920.9370.766
중학교수(개)0.0000.6500.9190.9640.9921.0000.9780.840
고등학교수(개)0.0000.6500.7950.9000.9370.9781.0000.863
전공과학교수(개)0.0000.6840.9721.0000.7660.8400.8631.000
2023-12-11T07:04:37.527506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도전체학교수(개)유치원수(개)초등학교수(개)중학교수(개)고등학교수(개)전공과학교수(개)학교유형명
기준년도1.0000.1770.0660.1150.2020.1760.0690.000
전체학교수(개)0.1771.0000.9730.9810.9920.9780.8380.640
유치원수(개)0.0660.9731.0000.9830.9600.9510.8400.537
초등학교수(개)0.1150.9810.9831.0000.9810.9820.8540.663
중학교수(개)0.2020.9920.9600.9811.0000.9770.8390.663
고등학교수(개)0.1760.9780.9510.9820.9771.0000.8400.663
전공과학교수(개)0.0690.8380.8400.8540.8390.8401.0000.640
학교유형명0.0000.6400.5370.6630.6630.6630.6401.000

Missing values

2023-12-11T07:04:35.344151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:04:35.483734image/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

기준년도학교유형명전체학교수(개)유치원수(개)초등학교수(개)중학교수(개)고등학교수(개)전공과학교수(개)
02022공립2304335117048328214
12022공립2261352114646828114
22022국립000000
32022국립000000
42022사립501129190
52022사립501129190
62021공립2178306112545028314
72021국립000000
82021사립522130190
92020공립2100276109343927814
기준년도학교유형명전체학교수(개)유치원수(개)초등학교수(개)중학교수(개)고등학교수(개)전공과학교수(개)
262015사립463124180
272014공립165812490037824610
282014국립000000
292014사립502124230
302013공립1572928763642382
312013국립000000
322013사립412124140
332012공립1480838423442092
342012국립000000
352012사립352121110

Duplicate rows

Most frequently occurring

기준년도학교유형명전체학교수(개)유치원수(개)초등학교수(개)중학교수(개)고등학교수(개)전공과학교수(개)# duplicates
02022국립0000002
12022사립5011291902