Overview

Dataset statistics

Number of variables12
Number of observations5287
Missing cells0
Missing cells (%)0.0%
Duplicate rows3
Duplicate rows (%)0.1%
Total size in memory557.7 KiB
Average record size in memory108.0 B

Variable types

Numeric12

Dataset

Description대학도서관 소장 및 구독자료에 관한 데이터
Author한국교육학술정보원
URLhttps://www.data.go.kr/data/15071925/fileData.do

Alerts

Dataset has 3 (0.1%) duplicate rowsDuplicates
도서자료-책수-합계 is highly overall correlated with 비도서자료-종수 and 8 other fieldsHigh correlation
비도서자료-종수 is highly overall correlated with 도서자료-책수-합계 and 8 other fieldsHigh correlation
비도서자료-점수 is highly overall correlated with 도서자료-책수-합계 and 8 other fieldsHigh correlation
연속간행물-국내 is highly overall correlated with 도서자료-책수-합계 and 8 other fieldsHigh correlation
연송간행물-국외 is highly overall correlated with 도서자료-책수-합계 and 8 other fieldsHigh correlation
연속간행물-합계 is highly overall correlated with 도서자료-책수-합계 and 8 other fieldsHigh correlation
연간 장서 증가 및 폐기 책수-연간장서증가책수-구입 is highly overall correlated with 도서자료-책수-합계 and 8 other fieldsHigh correlation
연간 장서 증가 및 폐기 책수-연간장서증가책수-기증 is highly overall correlated with 도서자료-책수-합계 and 8 other fieldsHigh correlation
연간 장서 증가 및 폐기 책수-연간장서증가책수-합계 is highly overall correlated with 도서자료-책수-합계 and 8 other fieldsHigh correlation
연강 장서 증가 종수 is highly overall correlated with 도서자료-책수-합계 and 8 other fieldsHigh correlation
비도서자료-점수 is highly skewed (γ1 = 24.13813515)Skewed
비도서자료-종수 has 467 (8.8%) zerosZeros
비도서자료-점수 has 459 (8.7%) zerosZeros
연속간행물-국내 has 378 (7.1%) zerosZeros
연송간행물-국외 has 1440 (27.2%) zerosZeros
연속간행물-합계 has 374 (7.1%) zerosZeros
연간 장서 증가 및 폐기 책수-연간장서증가책수-구입 has 281 (5.3%) zerosZeros
연간 장서 증가 및 폐기 책수-연간장서증가책수-기증 has 667 (12.6%) zerosZeros
연간 장서 증가 및 폐기 책수-연간장서증가책수-합계 has 152 (2.9%) zerosZeros
연강 장서 증가 종수 has 716 (13.5%) zerosZeros
연간 장서 폐기 책수 has 4031 (76.2%) zerosZeros

Reproduction

Analysis started2023-12-12 04:19:52.340423
Analysis finished2023-12-12 04:20:13.677315
Duration21.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

조사년도 키
Real number (ℝ)

Distinct12
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2013.6656
Minimum2008
Maximum2019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2023-12-12T13:20:13.773294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2008
5-th percentile2008
Q12011
median2014
Q32017
95-th percentile2019
Maximum2019
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.4082419
Coefficient of variation (CV)0.001692556
Kurtosis-1.1880171
Mean2013.6656
Median Absolute Deviation (MAD)3
Skewness-0.053347407
Sum10646250
Variance11.616113
MonotonicityNot monotonic
2023-12-12T13:20:13.914261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2016 462
8.7%
2017 461
8.7%
2019 460
8.7%
2015 458
8.7%
2013 458
8.7%
2014 457
8.6%
2018 453
8.6%
2011 434
8.2%
2012 430
8.1%
2010 426
8.1%
Other values (2) 788
14.9%
ValueCountFrequency (%)
2008 381
7.2%
2009 407
7.7%
2010 426
8.1%
2011 434
8.2%
2012 430
8.1%
2013 458
8.7%
2014 457
8.6%
2015 458
8.7%
2016 462
8.7%
2017 461
8.7%
ValueCountFrequency (%)
2019 460
8.7%
2018 453
8.6%
2017 461
8.7%
2016 462
8.7%
2015 458
8.7%
2014 457
8.6%
2013 458
8.7%
2012 430
8.1%
2011 434
8.2%
2010 426
8.1%

도서자료-책수-합계
Real number (ℝ)

HIGH CORRELATION 

Distinct5151
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean320404.42
Minimum0
Maximum5360765
Zeros29
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2023-12-12T13:20:14.079319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5637.9
Q145003.5
median128682
Q3438585
95-th percentile1226541.5
Maximum5360765
Range5360765
Interquartile range (IQR)393581.5

Descriptive statistics

Standard deviation470931.27
Coefficient of variation (CV)1.4698027
Kurtosis21.447751
Mean320404.42
Median Absolute Deviation (MAD)107554
Skewness3.5501461
Sum1.6939782 × 109
Variance2.2177626 × 1011
MonotonicityNot monotonic
2023-12-12T13:20:14.266637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29
 
0.5%
9390 7
 
0.1%
397 6
 
0.1%
9149 6
 
0.1%
15882 5
 
0.1%
7798 5
 
0.1%
2203 5
 
0.1%
14575 4
 
0.1%
10164 4
 
0.1%
97731 3
 
0.1%
Other values (5141) 5213
98.6%
ValueCountFrequency (%)
0 29
0.5%
112 1
 
< 0.1%
139 1
 
< 0.1%
228 1
 
< 0.1%
275 1
 
< 0.1%
301 1
 
< 0.1%
325 1
 
< 0.1%
326 1
 
< 0.1%
356 1
 
< 0.1%
395 1
 
< 0.1%
ValueCountFrequency (%)
5360765 1
< 0.1%
5231823 1
< 0.1%
5167706 1
< 0.1%
5084382 1
< 0.1%
5028282 1
< 0.1%
4699851 1
< 0.1%
4625669 1
< 0.1%
4521912 1
< 0.1%
4438503 1
< 0.1%
4094823 1
< 0.1%

비도서자료-종수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3622
Distinct (%)68.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8769.3274
Minimum0
Maximum305497
Zeros467
Zeros (%)8.8%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2023-12-12T13:20:14.492037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1534.5
median3104
Q39132.5
95-th percentile31112.2
Maximum305497
Range305497
Interquartile range (IQR)8598

Descriptive statistics

Standard deviation22061.752
Coefficient of variation (CV)2.5157861
Kurtosis81.617373
Mean8769.3274
Median Absolute Deviation (MAD)3018
Skewness7.8834996
Sum46363434
Variance4.8672092 × 108
MonotonicityNot monotonic
2023-12-12T13:20:14.655731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 467
 
8.8%
3 33
 
0.6%
1 24
 
0.5%
20 19
 
0.4%
2 16
 
0.3%
745 13
 
0.2%
238 12
 
0.2%
30 12
 
0.2%
22 12
 
0.2%
685 11
 
0.2%
Other values (3612) 4668
88.3%
ValueCountFrequency (%)
0 467
8.8%
1 24
 
0.5%
2 16
 
0.3%
3 33
 
0.6%
4 8
 
0.2%
5 8
 
0.2%
6 5
 
0.1%
7 5
 
0.1%
8 5
 
0.1%
9 4
 
0.1%
ValueCountFrequency (%)
305497 1
< 0.1%
298450 1
< 0.1%
297836 1
< 0.1%
297825 1
< 0.1%
297752 1
< 0.1%
297736 1
< 0.1%
297671 1
< 0.1%
297156 1
< 0.1%
297125 1
< 0.1%
296890 1
< 0.1%

비도서자료-점수
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct3872
Distinct (%)73.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14872.025
Minimum0
Maximum2191821
Zeros459
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2023-12-12T13:20:14.825846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1907
median4575
Q315596.5
95-th percentile49675.2
Maximum2191821
Range2191821
Interquartile range (IQR)14689.5

Descriptive statistics

Standard deviation45264.815
Coefficient of variation (CV)3.0436215
Kurtosis1034.2439
Mean14872.025
Median Absolute Deviation (MAD)4509
Skewness24.138135
Sum78628397
Variance2.0489035 × 109
MonotonicityNot monotonic
2023-12-12T13:20:15.033361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 459
 
8.7%
30 14
 
0.3%
745 13
 
0.2%
905 13
 
0.2%
37 13
 
0.2%
833 12
 
0.2%
90 12
 
0.2%
22 11
 
0.2%
2 10
 
0.2%
50 10
 
0.2%
Other values (3862) 4720
89.3%
ValueCountFrequency (%)
0 459
8.7%
1 7
 
0.1%
2 10
 
0.2%
4 2
 
< 0.1%
5 3
 
0.1%
8 2
 
< 0.1%
9 7
 
0.1%
10 6
 
0.1%
11 1
 
< 0.1%
12 6
 
0.1%
ValueCountFrequency (%)
2191821 1
< 0.1%
465109 1
< 0.1%
464800 1
< 0.1%
462513 1
< 0.1%
462436 1
< 0.1%
460935 1
< 0.1%
457951 1
< 0.1%
454844 1
< 0.1%
454683 1
< 0.1%
453865 1
< 0.1%

연속간행물-국내
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1124
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean315.7823
Minimum0
Maximum10656
Zeros378
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2023-12-12T13:20:15.208344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q155
median140
Q3335
95-th percentile1217
Maximum10656
Range10656
Interquartile range (IQR)280

Descriptive statistics

Standard deviation583.85098
Coefficient of variation (CV)1.8489035
Kurtosis75.776915
Mean315.7823
Median Absolute Deviation (MAD)108
Skewness6.7567047
Sum1669541
Variance340881.97
MonotonicityNot monotonic
2023-12-12T13:20:15.730121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 378
 
7.1%
40 40
 
0.8%
5 38
 
0.7%
10 38
 
0.7%
68 28
 
0.5%
60 27
 
0.5%
26 26
 
0.5%
116 25
 
0.5%
30 25
 
0.5%
62 24
 
0.5%
Other values (1114) 4638
87.7%
ValueCountFrequency (%)
0 378
7.1%
1 15
 
0.3%
2 14
 
0.3%
3 11
 
0.2%
4 18
 
0.3%
5 38
 
0.7%
6 11
 
0.2%
7 20
 
0.4%
8 22
 
0.4%
9 19
 
0.4%
ValueCountFrequency (%)
10656 1
< 0.1%
9939 1
< 0.1%
9535 1
< 0.1%
8110 1
< 0.1%
7685 1
< 0.1%
7578 1
< 0.1%
5900 1
< 0.1%
5825 1
< 0.1%
5706 1
< 0.1%
5680 1
< 0.1%

연송간행물-국외
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct654
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.42614
Minimum0
Maximum4929
Zeros1440
Zeros (%)27.2%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2023-12-12T13:20:15.949149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median18
Q395
95-th percentile519
Maximum4929
Range4929
Interquartile range (IQR)95

Descriptive statistics

Standard deviation287.52422
Coefficient of variation (CV)2.5804019
Kurtosis69.161023
Mean111.42614
Median Absolute Deviation (MAD)18
Skewness6.8468685
Sum589110
Variance82670.175
MonotonicityNot monotonic
2023-12-12T13:20:16.170890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1440
27.2%
2 165
 
3.1%
1 156
 
3.0%
3 91
 
1.7%
5 78
 
1.5%
9 76
 
1.4%
4 66
 
1.2%
8 66
 
1.2%
7 62
 
1.2%
14 61
 
1.2%
Other values (644) 3026
57.2%
ValueCountFrequency (%)
0 1440
27.2%
1 156
 
3.0%
2 165
 
3.1%
3 91
 
1.7%
4 66
 
1.2%
5 78
 
1.5%
6 61
 
1.2%
7 62
 
1.2%
8 66
 
1.2%
9 76
 
1.4%
ValueCountFrequency (%)
4929 1
< 0.1%
4235 1
< 0.1%
4091 1
< 0.1%
4072 1
< 0.1%
3970 1
< 0.1%
3912 1
< 0.1%
3246 1
< 0.1%
3018 1
< 0.1%
2843 1
< 0.1%
2633 1
< 0.1%

연속간행물-합계
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1306
Distinct (%)24.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean427.20844
Minimum0
Maximum12845
Zeros374
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2023-12-12T13:20:16.360772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q163
median177
Q3448
95-th percentile1688.7
Maximum12845
Range12845
Interquartile range (IQR)385

Descriptive statistics

Standard deviation811.51729
Coefficient of variation (CV)1.8995816
Kurtosis56.889486
Mean427.20844
Median Absolute Deviation (MAD)143
Skewness6.0354422
Sum2258651
Variance658560.31
MonotonicityNot monotonic
2023-12-12T13:20:16.566839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 374
 
7.1%
40 36
 
0.7%
5 33
 
0.6%
10 30
 
0.6%
68 28
 
0.5%
43 25
 
0.5%
60 23
 
0.4%
70 23
 
0.4%
33 23
 
0.4%
63 22
 
0.4%
Other values (1296) 4670
88.3%
ValueCountFrequency (%)
0 374
7.1%
1 11
 
0.2%
2 9
 
0.2%
3 9
 
0.2%
4 13
 
0.2%
5 33
 
0.6%
6 9
 
0.2%
7 19
 
0.4%
8 14
 
0.3%
9 16
 
0.3%
ValueCountFrequency (%)
12845 1
< 0.1%
12069 1
< 0.1%
11813 1
< 0.1%
10783 1
< 0.1%
10703 1
< 0.1%
9484 1
< 0.1%
9470 1
< 0.1%
7922 1
< 0.1%
7830 1
< 0.1%
7566 1
< 0.1%
Distinct4138
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9208.6183
Minimum0
Maximum236811
Zeros281
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2023-12-12T13:20:16.745778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11040
median3949
Q311725
95-th percentile34259.4
Maximum236811
Range236811
Interquartile range (IQR)10685

Descriptive statistics

Standard deviation14511.864
Coefficient of variation (CV)1.5759003
Kurtosis39.372628
Mean9208.6183
Median Absolute Deviation (MAD)3540
Skewness4.6264988
Sum48685965
Variance2.105942 × 108
MonotonicityNot monotonic
2023-12-12T13:20:16.912665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 281
 
5.3%
200 9
 
0.2%
500 9
 
0.2%
1 8
 
0.2%
150 8
 
0.2%
300 7
 
0.1%
400 7
 
0.1%
18 7
 
0.1%
1000 7
 
0.1%
123 6
 
0.1%
Other values (4128) 4938
93.4%
ValueCountFrequency (%)
0 281
5.3%
1 8
 
0.2%
2 5
 
0.1%
3 6
 
0.1%
4 2
 
< 0.1%
6 3
 
0.1%
7 2
 
< 0.1%
8 1
 
< 0.1%
9 2
 
< 0.1%
10 5
 
0.1%
ValueCountFrequency (%)
236811 1
< 0.1%
192243 1
< 0.1%
191007 1
< 0.1%
167717 1
< 0.1%
161997 1
< 0.1%
161050 1
< 0.1%
148167 1
< 0.1%
147885 1
< 0.1%
136146 1
< 0.1%
136076 1
< 0.1%
Distinct3022
Distinct (%)57.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3346.6802
Minimum0
Maximum191790
Zeros667
Zeros (%)12.6%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2023-12-12T13:20:17.114738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1236
median986
Q33390.5
95-th percentile13467.2
Maximum191790
Range191790
Interquartile range (IQR)3154.5

Descriptive statistics

Standard deviation7888.7437
Coefficient of variation (CV)2.3571848
Kurtosis128.72441
Mean3346.6802
Median Absolute Deviation (MAD)968
Skewness8.6296881
Sum17693898
Variance62232277
MonotonicityNot monotonic
2023-12-12T13:20:17.334777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 667
 
12.6%
50 21
 
0.4%
200 15
 
0.3%
10 15
 
0.3%
1000 13
 
0.2%
300 13
 
0.2%
2000 13
 
0.2%
500 13
 
0.2%
30 11
 
0.2%
100 11
 
0.2%
Other values (3012) 4495
85.0%
ValueCountFrequency (%)
0 667
12.6%
1 3
 
0.1%
2 8
 
0.2%
3 7
 
0.1%
4 2
 
< 0.1%
5 2
 
< 0.1%
6 4
 
0.1%
7 3
 
0.1%
8 3
 
0.1%
9 5
 
0.1%
ValueCountFrequency (%)
191790 1
< 0.1%
163660 1
< 0.1%
110253 1
< 0.1%
102594 1
< 0.1%
90564 1
< 0.1%
90000 1
< 0.1%
84412 1
< 0.1%
81704 1
< 0.1%
81197 1
< 0.1%
77978 1
< 0.1%
Distinct4445
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12555.298
Minimum0
Maximum246517
Zeros152
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2023-12-12T13:20:17.491320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile120.3
Q11666.5
median5416
Q315771
95-th percentile47491.2
Maximum246517
Range246517
Interquartile range (IQR)14104.5

Descriptive statistics

Standard deviation19160.094
Coefficient of variation (CV)1.5260564
Kurtosis22.672157
Mean12555.298
Median Absolute Deviation (MAD)4633
Skewness3.7804401
Sum66379863
Variance3.6710918 × 108
MonotonicityNot monotonic
2023-12-12T13:20:17.653747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 152
 
2.9%
2500 6
 
0.1%
2206 6
 
0.1%
100 5
 
0.1%
450 5
 
0.1%
1182 5
 
0.1%
350 5
 
0.1%
30 5
 
0.1%
3000 4
 
0.1%
325 4
 
0.1%
Other values (4435) 5090
96.3%
ValueCountFrequency (%)
0 152
2.9%
1 2
 
< 0.1%
2 2
 
< 0.1%
3 2
 
< 0.1%
4 2
 
< 0.1%
10 1
 
< 0.1%
11 1
 
< 0.1%
12 1
 
< 0.1%
13 3
 
0.1%
14 1
 
< 0.1%
ValueCountFrequency (%)
246517 1
< 0.1%
209932 1
< 0.1%
193040 1
< 0.1%
192301 1
< 0.1%
191195 1
< 0.1%
183924 1
< 0.1%
171781 1
< 0.1%
167559 1
< 0.1%
162883 1
< 0.1%
161808 1
< 0.1%

연강 장서 증가 종수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3778
Distinct (%)71.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7352.464
Minimum0
Maximum223220
Zeros716
Zeros (%)13.5%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2023-12-12T13:20:17.837279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1544
median2932
Q38937
95-th percentile28066.2
Maximum223220
Range223220
Interquartile range (IQR)8393

Descriptive statistics

Standard deviation12435.553
Coefficient of variation (CV)1.691345
Kurtosis45.358826
Mean7352.464
Median Absolute Deviation (MAD)2865
Skewness4.9366781
Sum38872477
Variance1.5464299 × 108
MonotonicityNot monotonic
2023-12-12T13:20:18.016672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 716
 
13.5%
10 16
 
0.3%
1 12
 
0.2%
2 8
 
0.2%
13 7
 
0.1%
5 6
 
0.1%
4 5
 
0.1%
288 5
 
0.1%
725 5
 
0.1%
9 5
 
0.1%
Other values (3768) 4502
85.2%
ValueCountFrequency (%)
0 716
13.5%
1 12
 
0.2%
2 8
 
0.2%
3 2
 
< 0.1%
4 5
 
0.1%
5 6
 
0.1%
6 4
 
0.1%
7 4
 
0.1%
8 2
 
< 0.1%
9 5
 
0.1%
ValueCountFrequency (%)
223220 1
< 0.1%
173894 1
< 0.1%
172432 1
< 0.1%
147749 1
< 0.1%
132982 1
< 0.1%
122834 1
< 0.1%
119630 1
< 0.1%
116616 1
< 0.1%
107022 1
< 0.1%
106715 1
< 0.1%

연간 장서 폐기 책수
Real number (ℝ)

ZEROS 

Distinct913
Distinct (%)17.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1803.223
Minimum0
Maximum272380
Zeros4031
Zeros (%)76.2%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2023-12-12T13:20:18.177705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7557.4
Maximum272380
Range272380
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10063.613
Coefficient of variation (CV)5.5809033
Kurtosis202.33415
Mean1803.223
Median Absolute Deviation (MAD)0
Skewness11.733738
Sum9533640
Variance1.0127631 × 108
MonotonicityNot monotonic
2023-12-12T13:20:18.359462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4031
76.2%
1 24
 
0.5%
2 17
 
0.3%
3 13
 
0.2%
20 11
 
0.2%
4 11
 
0.2%
12 9
 
0.2%
10 9
 
0.2%
9 9
 
0.2%
18 8
 
0.2%
Other values (903) 1145
 
21.7%
ValueCountFrequency (%)
0 4031
76.2%
1 24
 
0.5%
2 17
 
0.3%
3 13
 
0.2%
4 11
 
0.2%
5 5
 
0.1%
6 5
 
0.1%
7 5
 
0.1%
8 3
 
0.1%
9 9
 
0.2%
ValueCountFrequency (%)
272380 1
< 0.1%
230210 1
< 0.1%
131022 1
< 0.1%
128388 1
< 0.1%
127576 1
< 0.1%
126442 1
< 0.1%
119381 1
< 0.1%
114192 1
< 0.1%
110383 1
< 0.1%
109114 1
< 0.1%

Interactions

2023-12-12T13:20:11.671202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:54.879647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:56.110669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:57.192995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:58.940767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:00.606070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:02.261085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:03.567742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:05.053405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:06.631104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:08.676507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:10.168383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:11.792614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:54.998905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:56.192376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:57.283917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:59.040948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:00.760269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:02.379229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:03.673413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:05.161601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:06.775589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:08.800718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:10.316177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:11.920605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:55.122682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:56.279809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:57.384668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:59.169878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:00.906472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:02.494346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:03.799079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:05.300081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:06.918950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:08.939831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:10.415099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:12.065567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:55.253019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:56.375736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:57.534342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:59.291747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:01.058352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:02.613488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:03.942921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:05.437148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:07.087240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:09.057813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:10.529316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:12.171577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:55.356104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:56.478092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:57.644407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:59.440290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:01.185222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:02.721440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:04.060957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:05.551019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:07.556589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:09.178537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:10.635951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:12.276702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:55.460579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:56.557333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:57.757783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:59.566286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:01.311222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:02.820575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:04.184086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:05.697420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:07.702604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:09.316549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:10.764832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:12.389256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:55.583649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:56.638296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:57.867373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:59.763573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:01.469222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:02.917224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:04.300171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:05.823560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:07.845583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:09.451663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:10.895184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:12.532221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:55.679380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:56.718815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:57.998491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:59.898371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:01.605623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:03.046790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:04.459236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:06.022281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:07.991314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:09.565357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:11.022074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:12.637794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:55.770063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:56.809695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:58.172219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:00.035568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:01.731345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:03.158229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:04.574942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:06.139265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:08.136103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:09.666924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:11.145052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:12.769203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:55.872324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:56.919096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:58.304900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:00.206208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:01.882799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:03.273211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:04.702229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:06.256392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:08.307247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:09.784564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:11.288564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:12.888595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:55.955221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:57.008699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:58.725590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:00.337243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:02.006891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:03.368509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:04.835930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:06.375703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:08.448084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:09.893822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:11.442977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:12.986868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:56.033193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:57.098332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:58.822055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:00.472452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:02.124018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:03.455562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:04.942406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:06.493559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:08.570309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:10.008348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:11.564443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:20:18.510109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
조사년도 키도서자료-책수-합계비도서자료-종수비도서자료-점수연속간행물-국내연송간행물-국외연속간행물-합계연간 장서 증가 및 폐기 책수-연간장서증가책수-구입연간 장서 증가 및 폐기 책수-연간장서증가책수-기증연간 장서 증가 및 폐기 책수-연간장서증가책수-합계연강 장서 증가 종수연간 장서 폐기 책수
조사년도 키1.0000.0000.0000.0000.1170.0810.1440.0330.0660.1050.0570.035
도서자료-책수-합계0.0001.0000.4120.3120.4310.8600.7300.7840.4100.7800.5970.265
비도서자료-종수0.0000.4121.0000.7860.3400.3940.3880.2660.3170.2930.2480.181
비도서자료-점수0.0000.3120.7861.0000.0000.1530.0760.0000.0000.0000.0390.000
연속간행물-국내0.1170.4310.3400.0001.0000.6480.8890.3590.2400.3780.4350.162
연송간행물-국외0.0810.8600.3940.1530.6481.0000.9030.5860.5890.6930.4290.326
연속간행물-합계0.1440.7300.3880.0760.8890.9031.0000.5790.3730.6340.4100.252
연간 장서 증가 및 폐기 책수-연간장서증가책수-구입0.0330.7840.2660.0000.3590.5860.5791.0000.2890.9640.8640.332
연간 장서 증가 및 폐기 책수-연간장서증가책수-기증0.0660.4100.3170.0000.2400.5890.3730.2891.0000.6980.5070.067
연간 장서 증가 및 폐기 책수-연간장서증가책수-합계0.1050.7800.2930.0000.3780.6930.6340.9640.6981.0000.8540.329
연강 장서 증가 종수0.0570.5970.2480.0390.4350.4290.4100.8640.5070.8541.0000.334
연간 장서 폐기 책수0.0350.2650.1810.0000.1620.3260.2520.3320.0670.3290.3341.000
2023-12-12T13:20:18.735664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
조사년도 키도서자료-책수-합계비도서자료-종수비도서자료-점수연속간행물-국내연송간행물-국외연속간행물-합계연간 장서 증가 및 폐기 책수-연간장서증가책수-구입연간 장서 증가 및 폐기 책수-연간장서증가책수-기증연간 장서 증가 및 폐기 책수-연간장서증가책수-합계연강 장서 증가 종수연간 장서 폐기 책수
조사년도 키1.0000.0510.018-0.011-0.125-0.221-0.1600.020-0.131-0.0150.2500.014
도서자료-책수-합계0.0511.0000.8330.8660.8000.7530.8200.8820.7430.8940.7340.264
비도서자료-종수0.0180.8331.0000.9600.7040.6900.7260.7820.6130.7740.6460.251
비도서자료-점수-0.0110.8660.9601.0000.7270.7290.7550.8020.6540.7990.6410.265
연속간행물-국내-0.1250.8000.7040.7271.0000.7660.9830.7290.6750.7480.5920.230
연송간행물-국외-0.2210.7530.6900.7290.7661.0000.8520.6880.6570.7060.5080.245
연속간행물-합계-0.1600.8200.7260.7550.9830.8521.0000.7450.6990.7660.5860.240
연간 장서 증가 및 폐기 책수-연간장서증가책수-구입0.0200.8820.7820.8020.7290.6880.7451.0000.6720.9650.7610.233
연간 장서 증가 및 폐기 책수-연간장서증가책수-기증-0.1310.7430.6130.6540.6750.6570.6990.6721.0000.8090.6220.198
연간 장서 증가 및 폐기 책수-연간장서증가책수-합계-0.0150.8940.7740.7990.7480.7060.7660.9650.8091.0000.7850.229
연강 장서 증가 종수0.2500.7340.6460.6410.5920.5080.5860.7610.6220.7851.0000.206
연간 장서 폐기 책수0.0140.2640.2510.2650.2300.2450.2400.2330.1980.2290.2061.000

Missing values

2023-12-12T13:20:13.161109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:20:13.513939image/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

조사년도 키도서자료-책수-합계비도서자료-종수비도서자료-점수연속간행물-국내연송간행물-국외연속간행물-합계연간 장서 증가 및 폐기 책수-연간장서증가책수-구입연간 장서 증가 및 폐기 책수-연간장서증가책수-기증연간 장서 증가 및 폐기 책수-연간장서증가책수-합계연강 장서 증가 종수연간 장서 폐기 책수
02019859119112052152832210843023180292326103227200
12019403691064776006003030150
2201959835415318496179151944034016814202183461740
32019195670444852251783421210140198512125107950
42019101640000000000
52019172572075209221507188088880
620191777584745796182082466575241218939530
720197716207520136919812110455126007151666627
82019203943880135762870691956721259161850
920198263681100322905321373581076824011316910697385
조사년도 키도서자료-책수-합계비도서자료-종수비도서자료-점수연속간행물-국내연송간행물-국외연속간행물-합계연간 장서 증가 및 폐기 책수-연간장서증가책수-구입연간 장서 증가 및 폐기 책수-연간장서증가책수-기증연간 장서 증가 및 폐기 책수-연간장서증가책수-합계연강 장서 증가 종수연간 장서 폐기 책수
52772019179372936610833101161177125885801066420
5278201910031000001260126980
527920195116082915633195161842451118712091239699970
5280201970828612817216913134235520123238022503214660
5281201911746311722922863164216617851211619967187340
528220198175344204784841853708431413939590
5283201927897040059372179292087092840793255330
52842019293627252423105921050260289315544447329624819
528520191067115600047047470
528620192814718325812279119923143020782110321885197090

Duplicate rows

Most frequently occurring

조사년도 키도서자료-책수-합계비도서자료-종수비도서자료-점수연속간행물-국내연송간행물-국외연속간행물-합계연간 장서 증가 및 폐기 책수-연간장서증가책수-구입연간 장서 증가 및 폐기 책수-연간장서증가책수-기증연간 장서 증가 및 폐기 책수-연간장서증가책수-합계연강 장서 증가 종수연간 장서 폐기 책수# duplicates
02008000000000005
12009000000000004
22010000000000004