Overview

Dataset statistics

Number of variables6
Number of observations4959
Missing cells0
Missing cells (%)0.0%
Duplicate rows33
Duplicate rows (%)0.7%
Total size in memory261.6 KiB
Average record size in memory54.0 B

Variable types

Numeric6

Dataset

Description대학도서관 이용 및 이용자에 관한 데이터 항목(대출현황-학부생, 대학원생, 교원) 등에 대한 정보를 제공합니다.
Author한국교육학술정보원
URLhttps://www.data.go.kr/data/15071930/fileData.do

Alerts

Dataset has 33 (0.7%) duplicate rowsDuplicates
대출현황 학부생 is highly overall correlated with 대출현황 대학원생 and 4 other fieldsHigh correlation
대출현황 대학원생 is highly overall correlated with 대출현황 학부생 and 4 other fieldsHigh correlation
대출현황 교원 is highly overall correlated with 대출현황 학부생 and 4 other fieldsHigh correlation
대출현황 직원 is highly overall correlated with 대출현황 학부생 and 4 other fieldsHigh correlation
대출현황 기타 is highly overall correlated with 대출현황 학부생 and 4 other fieldsHigh correlation
대출현황 계 is highly overall correlated with 대출현황 학부생 and 4 other fieldsHigh correlation
대출현황 기타 is highly skewed (γ1 = 43.49292062)Skewed
대출현황 학부생 has 481 (9.7%) zerosZeros
대출현황 대학원생 has 2216 (44.7%) zerosZeros
대출현황 교원 has 216 (4.4%) zerosZeros
대출현황 직원 has 279 (5.6%) zerosZeros
대출현황 기타 has 1323 (26.7%) zerosZeros
대출현황 계 has 91 (1.8%) zerosZeros

Reproduction

Analysis started2023-12-12 08:53:33.337587
Analysis finished2023-12-12 08:53:38.701891
Duration5.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대출현황 학부생
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3063
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3912.7074
Minimum0
Maximum276623
Zeros481
Zeros (%)9.7%
Negative0
Negative (%)0.0%
Memory size43.7 KiB
2023-12-12T17:53:38.789050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1313
median1223
Q33757
95-th percentile13866.2
Maximum276623
Range276623
Interquartile range (IQR)3444

Descriptive statistics

Standard deviation11673.842
Coefficient of variation (CV)2.9835713
Kurtosis218.56362
Mean3912.7074
Median Absolute Deviation (MAD)1108
Skewness12.502907
Sum19403116
Variance1.3627858 × 108
MonotonicityNot monotonic
2023-12-12T17:53:39.421066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 481
 
9.7%
50 10
 
0.2%
480 9
 
0.2%
169 8
 
0.2%
397 7
 
0.1%
20 7
 
0.1%
120 7
 
0.1%
100 7
 
0.1%
49 6
 
0.1%
203 6
 
0.1%
Other values (3053) 4411
88.9%
ValueCountFrequency (%)
0 481
9.7%
1 5
 
0.1%
2 2
 
< 0.1%
3 2
 
< 0.1%
4 3
 
0.1%
5 6
 
0.1%
6 2
 
< 0.1%
7 1
 
< 0.1%
8 2
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
276623 1
< 0.1%
272520 1
< 0.1%
255142 1
< 0.1%
214228 1
< 0.1%
148535 1
< 0.1%
148379 1
< 0.1%
143148 1
< 0.1%
137122 1
< 0.1%
134111 1
< 0.1%
125331 1
< 0.1%

대출현황 대학원생
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1184
Distinct (%)23.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean513.7683
Minimum0
Maximum78157
Zeros2216
Zeros (%)44.7%
Negative0
Negative (%)0.0%
Memory size43.7 KiB
2023-12-12T17:53:39.598566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median22
Q3287
95-th percentile2360.7
Maximum78157
Range78157
Interquartile range (IQR)287

Descriptive statistics

Standard deviation2110.8223
Coefficient of variation (CV)4.1085103
Kurtosis494.17989
Mean513.7683
Median Absolute Deviation (MAD)22
Skewness17.369015
Sum2547777
Variance4455571
MonotonicityNot monotonic
2023-12-12T17:53:39.821090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2216
44.7%
20 20
 
0.4%
2 17
 
0.3%
48 17
 
0.3%
12 16
 
0.3%
3 16
 
0.3%
27 15
 
0.3%
10 15
 
0.3%
11 15
 
0.3%
13 14
 
0.3%
Other values (1174) 2598
52.4%
ValueCountFrequency (%)
0 2216
44.7%
1 8
 
0.2%
2 17
 
0.3%
3 16
 
0.3%
4 12
 
0.2%
5 13
 
0.3%
6 13
 
0.3%
7 10
 
0.2%
8 10
 
0.2%
9 11
 
0.2%
ValueCountFrequency (%)
78157 1
< 0.1%
54564 1
< 0.1%
36404 1
< 0.1%
25843 1
< 0.1%
24988 1
< 0.1%
23015 1
< 0.1%
22756 1
< 0.1%
21445 1
< 0.1%
19211 1
< 0.1%
16030 1
< 0.1%

대출현황 교원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct747
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean162.6459
Minimum0
Maximum6443
Zeros216
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size43.7 KiB
2023-12-12T17:53:40.018924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q120
median58
Q3148
95-th percentile627.1
Maximum6443
Range6443
Interquartile range (IQR)128

Descriptive statistics

Standard deviation364.04507
Coefficient of variation (CV)2.2382678
Kurtosis81.349358
Mean162.6459
Median Absolute Deviation (MAD)46
Skewness7.3659609
Sum806561
Variance132528.81
MonotonicityNot monotonic
2023-12-12T17:53:40.208843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 216
 
4.4%
7 73
 
1.5%
10 71
 
1.4%
8 67
 
1.4%
11 64
 
1.3%
5 62
 
1.3%
13 61
 
1.2%
3 57
 
1.1%
6 55
 
1.1%
22 54
 
1.1%
Other values (737) 4179
84.3%
ValueCountFrequency (%)
0 216
4.4%
1 26
 
0.5%
2 44
 
0.9%
3 57
 
1.1%
4 45
 
0.9%
5 62
 
1.3%
6 55
 
1.1%
7 73
 
1.5%
8 67
 
1.4%
9 47
 
0.9%
ValueCountFrequency (%)
6443 1
< 0.1%
6318 1
< 0.1%
5560 1
< 0.1%
4698 1
< 0.1%
4644 1
< 0.1%
4283 1
< 0.1%
4151 1
< 0.1%
3959 1
< 0.1%
3953 1
< 0.1%
3900 1
< 0.1%

대출현황 직원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct673
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean146.74269
Minimum0
Maximum7048
Zeros279
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size43.7 KiB
2023-12-12T17:53:40.423295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115
median49
Q3134.5
95-th percentile511.2
Maximum7048
Range7048
Interquartile range (IQR)119.5

Descriptive statistics

Standard deviation383.49253
Coefficient of variation (CV)2.6133672
Kurtosis100.0628
Mean146.74269
Median Absolute Deviation (MAD)41
Skewness8.4623831
Sum727697
Variance147066.52
MonotonicityNot monotonic
2023-12-12T17:53:40.634406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 279
 
5.6%
2 97
 
2.0%
5 85
 
1.7%
10 78
 
1.6%
7 77
 
1.6%
3 75
 
1.5%
6 72
 
1.5%
1 70
 
1.4%
8 61
 
1.2%
9 60
 
1.2%
Other values (663) 4005
80.8%
ValueCountFrequency (%)
0 279
5.6%
1 70
 
1.4%
2 97
 
2.0%
3 75
 
1.5%
4 46
 
0.9%
5 85
 
1.7%
6 72
 
1.5%
7 77
 
1.6%
8 61
 
1.2%
9 60
 
1.2%
ValueCountFrequency (%)
7048 1
< 0.1%
6613 1
< 0.1%
6393 1
< 0.1%
6234 1
< 0.1%
4909 1
< 0.1%
4866 1
< 0.1%
4311 1
< 0.1%
4286 1
< 0.1%
4165 1
< 0.1%
3884 1
< 0.1%

대출현황 기타
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct1017
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean418.08651
Minimum0
Maximum207296
Zeros1323
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size43.7 KiB
2023-12-12T17:53:40.822126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median21
Q3175.5
95-th percentile1686.2
Maximum207296
Range207296
Interquartile range (IQR)175.5

Descriptive statistics

Standard deviation3589.4688
Coefficient of variation (CV)8.5854691
Kurtosis2319.2859
Mean418.08651
Median Absolute Deviation (MAD)21
Skewness43.492921
Sum2073291
Variance12884286
MonotonicityNot monotonic
2023-12-12T17:53:40.972926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1323
26.7%
1 129
 
2.6%
2 116
 
2.3%
5 94
 
1.9%
3 77
 
1.6%
6 70
 
1.4%
4 63
 
1.3%
9 56
 
1.1%
10 54
 
1.1%
7 54
 
1.1%
Other values (1007) 2923
58.9%
ValueCountFrequency (%)
0 1323
26.7%
1 129
 
2.6%
2 116
 
2.3%
3 77
 
1.6%
4 63
 
1.3%
5 94
 
1.9%
6 70
 
1.4%
7 54
 
1.1%
8 50
 
1.0%
9 56
 
1.1%
ValueCountFrequency (%)
207296 1
< 0.1%
78543 1
< 0.1%
72544 1
< 0.1%
59494 1
< 0.1%
25135 1
< 0.1%
20643 1
< 0.1%
16051 1
< 0.1%
14190 1
< 0.1%
13228 1
< 0.1%
12825 1
< 0.1%

대출현황 계
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3237
Distinct (%)65.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5153.9508
Minimum0
Maximum376466
Zeros91
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size43.7 KiB
2023-12-12T17:53:41.141539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile48
Q1441.5
median1479
Q34643.5
95-th percentile19245.2
Maximum376466
Range376466
Interquartile range (IQR)4202

Descriptive statistics

Standard deviation15242.578
Coefficient of variation (CV)2.9574551
Kurtosis223.43908
Mean5153.9508
Median Absolute Deviation (MAD)1274
Skewness12.400986
Sum25558442
Variance2.3233619 × 108
MonotonicityNot monotonic
2023-12-12T17:53:41.330817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 91
 
1.8%
55 11
 
0.2%
515 10
 
0.2%
62 10
 
0.2%
54 9
 
0.2%
345 9
 
0.2%
41 9
 
0.2%
65 9
 
0.2%
83 8
 
0.2%
87 8
 
0.2%
Other values (3227) 4785
96.5%
ValueCountFrequency (%)
0 91
1.8%
2 1
 
< 0.1%
4 2
 
< 0.1%
5 2
 
< 0.1%
6 4
 
0.1%
7 4
 
0.1%
8 2
 
< 0.1%
10 3
 
0.1%
11 4
 
0.1%
12 4
 
0.1%
ValueCountFrequency (%)
376466 1
< 0.1%
363043 1
< 0.1%
324312 1
< 0.1%
272300 1
< 0.1%
215466 1
< 0.1%
195083 1
< 0.1%
174941 1
< 0.1%
168527 1
< 0.1%
160033 1
< 0.1%
157693 1
< 0.1%

Interactions

2023-12-12T17:53:37.848232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:34.076156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:34.859092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:35.600402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:36.472927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:37.216066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:37.963677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:34.216195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:34.971639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:35.741331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:36.616966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:37.332635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:38.076239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:34.362036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:35.119648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:35.878119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:36.742598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:37.453791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:38.209364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:34.477878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:35.250040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:36.069276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:36.872892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:37.551747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:38.325302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:34.608725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:35.364109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:36.206269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:36.988213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:37.648482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:38.413819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:34.721457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:35.458710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:36.352513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:37.085298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:37.733797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:53:41.542828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대출현황 학부생대출현황 대학원생대출현황 교원대출현황 직원대출현황 기타대출현황 계
대출현황 학부생1.0000.7920.7630.7570.5340.930
대출현황 대학원생0.7921.0000.7970.7930.5350.866
대출현황 교원0.7630.7971.0000.7670.5800.774
대출현황 직원0.7570.7930.7671.0000.2700.891
대출현황 기타0.5340.5350.5800.2701.0000.764
대출현황 계0.9300.8660.7740.8910.7641.000
2023-12-12T17:53:41.687974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대출현황 학부생대출현황 대학원생대출현황 교원대출현황 직원대출현황 기타대출현황 계
대출현황 학부생1.0000.5470.8950.8690.6810.979
대출현황 대학원생0.5471.0000.6120.5640.6580.626
대출현황 교원0.8950.6121.0000.8970.7160.924
대출현황 직원0.8690.5640.8971.0000.6870.895
대출현황 기타0.6810.6580.7160.6871.0000.749
대출현황 계0.9790.6260.9240.8950.7491.000

Missing values

2023-12-12T17:53:38.542880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:53:38.653299image/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

대출현황 학부생대출현황 대학원생대출현황 교원대출현황 직원대출현황 기타대출현황 계
01000000100
115000030002500020500
212090152301247
325514254564631837774511324312
414070385501500
51203884033642281814454
605352060
765764122334663248011
806742073
91135716118754041712662
대출현황 학부생대출현황 대학원생대출현황 교원대출현황 직원대출현황 기타대출현황 계
494917550638541907
4950195242007560765160724463
495117940857101950
495210330455501133
495397245051812078910706
495412040016
4955410047190202849
49561580860172
495711319704147230109013490
49585136510941241215985

Duplicate rows

Most frequently occurring

대출현황 학부생대출현황 대학원생대출현황 교원대출현황 직원대출현황 기타대출현황 계# duplicates
000000091
1011000114
24480028705154
2015000153
15120000123
224000302004503
3035600412
4037300402
5048700552
6048820582