Overview

Dataset statistics

Number of variables11
Number of observations4959
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory479.6 KiB
Average record size in memory99.0 B

Variable types

Numeric8
Categorical3

Dataset

Description대학 전자서비스에 관한 데이터 항목(MARC 데이터 구축 건수, 디지털 콘텐츠 구축 건수) 등의 정보를 제공합니다.
Author한국교육학술정보원
URLhttps://www.data.go.kr/data/15071927/fileData.do

Alerts

대학 키 is highly overall correlated with 재학생수 and 3 other fieldsHigh correlation
재학생수 is highly overall correlated with 대학 키 and 4 other fieldsHigh correlation
MARC 데이터 구축 건수-국내-계 is highly overall correlated with 대학 키 and 4 other fieldsHigh correlation
MARC 데이터 구축 건수-국외-계 is highly overall correlated with 대학 키 and 4 other fieldsHigh correlation
MARC 데이터 구축 건수-합계 is highly overall correlated with 재학생수 and 3 other fieldsHigh correlation
디지털 콘텐츠 구축 건수-합계 is highly overall correlated with 대학 키 and 4 other fieldsHigh correlation
설립유형 키 is highly overall correlated with 학교유형 키High correlation
학교유형 키 is highly overall correlated with 설립유형 키 and 1 other fieldsHigh correlation
대학규모 키 is highly overall correlated with 학교유형 키High correlation
설립유형 키 is highly imbalanced (61.2%)Imbalance
MARC 데이터 구축 건수-합계 is highly skewed (γ1 = 67.86827408)Skewed
지역 키 has 59 (1.2%) zerosZeros
재학생수 has 64 (1.3%) zerosZeros
MARC 데이터 구축 건수-국내-계 has 556 (11.2%) zerosZeros
MARC 데이터 구축 건수-국외-계 has 760 (15.3%) zerosZeros
MARC 데이터 구축 건수-합계 has 2694 (54.3%) zerosZeros
디지털 콘텐츠 구축 건수-합계 has 1289 (26.0%) zerosZeros

Reproduction

Analysis started2023-12-12 01:48:31.112743
Analysis finished2023-12-12 01:48:40.880019
Duration9.77 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%
Mean2013.6832
Minimum2008
Maximum2019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.7 KiB
2023-12-12T10:48:40.949614image/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 deviation3.4058924
Coefficient of variation (CV)0.0016913745
Kurtosis-1.185985
Mean2013.6832
Median Absolute Deviation (MAD)3
Skewness-0.059677044
Sum9985855
Variance11.600103
MonotonicityNot monotonic
2023-12-12T10:48:41.069958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2016 435
8.8%
2017 435
8.8%
2019 434
8.8%
2015 431
8.7%
2013 430
8.7%
2014 430
8.7%
2018 427
8.6%
2011 405
8.2%
2012 402
8.1%
2010 397
8.0%
Other values (2) 733
14.8%
ValueCountFrequency (%)
2008 353
7.1%
2009 380
7.7%
2010 397
8.0%
2011 405
8.2%
2012 402
8.1%
2013 430
8.7%
2014 430
8.7%
2015 431
8.7%
2016 435
8.8%
2017 435
8.8%
ValueCountFrequency (%)
2019 434
8.8%
2018 427
8.6%
2017 435
8.8%
2016 435
8.8%
2015 431
8.7%
2014 430
8.7%
2013 430
8.7%
2012 402
8.1%
2011 405
8.2%
2010 397
8.0%

대학 키
Real number (ℝ)

HIGH CORRELATION 

Distinct458
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean214.94071
Minimum1
Maximum458
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.7 KiB
2023-12-12T10:48:41.252815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile21
Q1104
median211
Q3321
95-th percentile426
Maximum458
Range457
Interquartile range (IQR)217

Descriptive statistics

Standard deviation127.95223
Coefficient of variation (CV)0.59529078
Kurtosis-1.1350189
Mean214.94071
Median Absolute Deviation (MAD)108
Skewness0.10239268
Sum1065891
Variance16371.772
MonotonicityNot monotonic
2023-12-12T10:48:41.428056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
184 12
 
0.2%
240 12
 
0.2%
336 12
 
0.2%
371 12
 
0.2%
188 12
 
0.2%
187 12
 
0.2%
167 12
 
0.2%
157 12
 
0.2%
146 12
 
0.2%
123 12
 
0.2%
Other values (448) 4839
97.6%
ValueCountFrequency (%)
1 12
0.2%
2 12
0.2%
3 12
0.2%
4 12
0.2%
5 12
0.2%
6 12
0.2%
7 12
0.2%
8 12
0.2%
9 12
0.2%
10 12
0.2%
ValueCountFrequency (%)
458 12
0.2%
457 1
 
< 0.1%
456 3
 
0.1%
455 9
0.2%
454 9
0.2%
453 4
 
0.1%
452 5
0.1%
451 5
0.1%
450 6
0.1%
449 7
0.1%

설립유형 키
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size38.9 KiB
3
4203 
1
571 
2
 
102
4
 
83

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 4203
84.8%
1 571
 
11.5%
2 102
 
2.1%
4 83
 
1.7%

Length

2023-12-12T10:48:41.595972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:48:41.726151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 4203
84.8%
1 571
 
11.5%
2 102
 
2.1%
4 83
 
1.7%

학교유형 키
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size38.9 KiB
1
2586 
2
1851 
3
439 
4
 
83

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 2586
52.1%
2 1851
37.3%
3 439
 
8.9%
4 83
 
1.7%

Length

2023-12-12T10:48:41.858356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:48:41.969487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 2586
52.1%
2 1851
37.3%
3 439
 
8.9%
4 83
 
1.7%

대학규모 키
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size38.9 KiB
3
1735 
1
1446 
2
1256 
0
522 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 1735
35.0%
1 1446
29.2%
2 1256
25.3%
0 522
 
10.5%

Length

2023-12-12T10:48:42.098127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:48:42.216833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1735
35.0%
1 1446
29.2%
2 1256
25.3%
0 522
 
10.5%

지역 키
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.1814882
Minimum0
Maximum17
Zeros59
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size43.7 KiB
2023-12-12T10:48:42.369196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median9
Q313
95-th percentile16
Maximum17
Range17
Interquartile range (IQR)11

Descriptive statistics

Standard deviation5.201015
Coefficient of variation (CV)0.63570525
Kurtosis-1.3252235
Mean8.1814882
Median Absolute Deviation (MAD)5
Skewness-0.097110518
Sum40572
Variance27.050557
MonotonicityNot monotonic
2023-12-12T10:48:42.490005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
9 921
18.6%
1 915
18.5%
15 443
8.9%
12 321
 
6.5%
2 282
 
5.7%
16 273
 
5.5%
13 257
 
5.2%
14 232
 
4.7%
10 226
 
4.6%
6 218
 
4.4%
Other values (8) 871
17.6%
ValueCountFrequency (%)
0 59
 
1.2%
1 915
18.5%
2 282
 
5.7%
3 147
 
3.0%
4 112
 
2.3%
5 202
 
4.1%
6 218
 
4.4%
7 62
 
1.3%
8 20
 
0.4%
9 921
18.6%
ValueCountFrequency (%)
17 55
 
1.1%
16 273
 
5.5%
15 443
8.9%
14 232
 
4.7%
13 257
 
5.2%
12 321
 
6.5%
11 214
 
4.3%
10 226
 
4.6%
9 921
18.6%
8 20
 
0.4%

재학생수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3565
Distinct (%)71.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6010.4319
Minimum0
Maximum184470
Zeros64
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size43.7 KiB
2023-12-12T10:48:42.996118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile84
Q11041
median3572
Q37564
95-th percentile21596.2
Maximum184470
Range184470
Interquartile range (IQR)6523

Descriptive statistics

Standard deviation9696.4034
Coefficient of variation (CV)1.6132623
Kurtosis139.23885
Mean6010.4319
Median Absolute Deviation (MAD)2787
Skewness9.2361571
Sum29805732
Variance94020239
MonotonicityNot monotonic
2023-12-12T10:48:43.201065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64
 
1.3%
60 8
 
0.2%
88 7
 
0.1%
76 7
 
0.1%
66 7
 
0.1%
87 6
 
0.1%
57 6
 
0.1%
86 6
 
0.1%
97 6
 
0.1%
857 6
 
0.1%
Other values (3555) 4836
97.5%
ValueCountFrequency (%)
0 64
1.3%
2 4
 
0.1%
3 1
 
< 0.1%
5 3
 
0.1%
9 1
 
< 0.1%
11 1
 
< 0.1%
15 1
 
< 0.1%
17 2
 
< 0.1%
18 2
 
< 0.1%
19 1
 
< 0.1%
ValueCountFrequency (%)
184470 1
< 0.1%
182890 1
< 0.1%
179726 1
< 0.1%
173758 1
< 0.1%
162036 1
< 0.1%
157446 1
< 0.1%
145221 1
< 0.1%
136642 1
< 0.1%
125385 2
< 0.1%
117765 1
< 0.1%

MARC 데이터 구축 건수-국내-계
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct4295
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean186828.9
Minimum0
Maximum2710665
Zeros556
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size43.7 KiB
2023-12-12T10:48:43.410214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q128620
median88089
Q3252406
95-th percentile654829.1
Maximum2710665
Range2710665
Interquartile range (IQR)223786

Descriptive statistics

Standard deviation263087.16
Coefficient of variation (CV)1.4081716
Kurtosis17.702098
Mean186828.9
Median Absolute Deviation (MAD)82308
Skewness3.3239743
Sum9.264845 × 108
Variance6.9214852 × 1010
MonotonicityNot monotonic
2023-12-12T10:48:43.597788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 556
 
11.2%
9069 8
 
0.2%
2203 7
 
0.1%
161625 6
 
0.1%
10458 5
 
0.1%
10 5
 
0.1%
68088 4
 
0.1%
5400 4
 
0.1%
41700 3
 
0.1%
1370 3
 
0.1%
Other values (4285) 4358
87.9%
ValueCountFrequency (%)
0 556
11.2%
4 1
 
< 0.1%
8 1
 
< 0.1%
9 2
 
< 0.1%
10 5
 
0.1%
12 1
 
< 0.1%
13 1
 
< 0.1%
15 1
 
< 0.1%
30 1
 
< 0.1%
43 1
 
< 0.1%
ValueCountFrequency (%)
2710665 1
< 0.1%
2606656 1
< 0.1%
2535062 1
< 0.1%
2510722 1
< 0.1%
2468020 1
< 0.1%
2459978 1
< 0.1%
2440366 1
< 0.1%
2428791 1
< 0.1%
2418910 1
< 0.1%
2301138 1
< 0.1%

MARC 데이터 구축 건수-국외-계
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3828
Distinct (%)77.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98729.065
Minimum0
Maximum9170978
Zeros760
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size43.7 KiB
2023-12-12T10:48:43.757875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11265.5
median11121
Q377719.5
95-th percentile410720.7
Maximum9170978
Range9170978
Interquartile range (IQR)76454

Descriptive statistics

Standard deviation314787.64
Coefficient of variation (CV)3.1883988
Kurtosis298.39554
Mean98729.065
Median Absolute Deviation (MAD)11121
Skewness13.007101
Sum4.8959744 × 108
Variance9.9091256 × 1010
MonotonicityNot monotonic
2023-12-12T10:48:43.969433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 760
 
15.3%
80 11
 
0.2%
2981 11
 
0.2%
1931 9
 
0.2%
117 9
 
0.2%
4875 8
 
0.2%
1454 7
 
0.1%
733 7
 
0.1%
200 6
 
0.1%
411 6
 
0.1%
Other values (3818) 4125
83.2%
ValueCountFrequency (%)
0 760
15.3%
1 3
 
0.1%
2 5
 
0.1%
3 5
 
0.1%
4 5
 
0.1%
5 2
 
< 0.1%
6 6
 
0.1%
7 5
 
0.1%
8 1
 
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
9170978 1
< 0.1%
9139187 1
< 0.1%
4207542 1
< 0.1%
2969369 1
< 0.1%
2686127 1
< 0.1%
2667666 1
< 0.1%
2650758 1
< 0.1%
2568524 1
< 0.1%
2568162 1
< 0.1%
2529926 1
< 0.1%

MARC 데이터 구축 건수-합계
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct1710
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17550.961
Minimum0
Maximum32412363
Zeros2694
Zeros (%)54.3%
Negative0
Negative (%)0.0%
Memory size43.7 KiB
2023-12-12T10:48:44.156700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31997
95-th percentile47939.5
Maximum32412363
Range32412363
Interquartile range (IQR)1997

Descriptive statistics

Standard deviation465959.77
Coefficient of variation (CV)26.54896
Kurtosis4714.879
Mean17550.961
Median Absolute Deviation (MAD)0
Skewness67.868274
Sum87035218
Variance2.1711851 × 1011
MonotonicityNot monotonic
2023-12-12T10:48:44.334771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2694
54.3%
1 21
 
0.4%
22 17
 
0.3%
678 15
 
0.3%
6 12
 
0.2%
434 12
 
0.2%
146 12
 
0.2%
26 12
 
0.2%
324 10
 
0.2%
34 10
 
0.2%
Other values (1700) 2144
43.2%
ValueCountFrequency (%)
0 2694
54.3%
1 21
 
0.4%
2 7
 
0.1%
3 6
 
0.1%
5 6
 
0.1%
6 12
 
0.2%
7 4
 
0.1%
8 3
 
0.1%
9 7
 
0.1%
10 7
 
0.1%
ValueCountFrequency (%)
32412363 1
< 0.1%
2014989 1
< 0.1%
1795080 1
< 0.1%
1688593 1
< 0.1%
1573719 1
< 0.1%
1468459 1
< 0.1%
1213114 1
< 0.1%
915154 1
< 0.1%
912854 1
< 0.1%
794454 1
< 0.1%

디지털 콘텐츠 구축 건수-합계
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3596
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean889903.82
Minimum0
Maximum1.2539724 × 108
Zeros1289
Zeros (%)26.0%
Negative0
Negative (%)0.0%
Memory size43.7 KiB
2023-12-12T10:48:44.537141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median26251
Q3302555
95-th percentile3422124.2
Maximum1.2539724 × 108
Range1.2539724 × 108
Interquartile range (IQR)302555

Descriptive statistics

Standard deviation4404444.6
Coefficient of variation (CV)4.949349
Kurtosis325.78781
Mean889903.82
Median Absolute Deviation (MAD)26251
Skewness15.110482
Sum4.4130331 × 109
Variance1.9399133 × 1013
MonotonicityNot monotonic
2023-12-12T10:48:44.774442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1289
 
26.0%
500 4
 
0.1%
200 3
 
0.1%
1152 3
 
0.1%
5704235 3
 
0.1%
2260 3
 
0.1%
20 3
 
0.1%
8425 2
 
< 0.1%
6108 2
 
< 0.1%
165402 2
 
< 0.1%
Other values (3586) 3645
73.5%
ValueCountFrequency (%)
0 1289
26.0%
3 1
 
< 0.1%
7 1
 
< 0.1%
15 2
 
< 0.1%
20 3
 
0.1%
25 1
 
< 0.1%
30 2
 
< 0.1%
31 1
 
< 0.1%
34 2
 
< 0.1%
36 1
 
< 0.1%
ValueCountFrequency (%)
125397244 1
< 0.1%
117255710 1
< 0.1%
102149882 1
< 0.1%
67604965 1
< 0.1%
62561903 1
< 0.1%
59849962 1
< 0.1%
51027284 1
< 0.1%
46682458 1
< 0.1%
45085056 1
< 0.1%
44867982 1
< 0.1%

Interactions

2023-12-12T10:48:39.427861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:32.454107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:33.279707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:34.207528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:35.318019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:36.256366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:37.350997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:38.391956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:39.558056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:32.559881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:33.399633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:34.311660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:35.439473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:36.373888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:37.478001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:38.506511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:39.696044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:32.653545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:33.509355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:34.413811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:35.547384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:36.507725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:37.588433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:38.622674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:39.863033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:32.758150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:33.630979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:34.525829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:35.690908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:36.660176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:37.704082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:38.750683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:39.994971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:32.856518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:33.768482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:34.627334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:35.793960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:36.815020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:37.831441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:38.901785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:40.131340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:32.951992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:33.909604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:34.744286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:35.909908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:36.947745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:37.958368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:39.052900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:40.257506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:33.049012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:34.015719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:34.837101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:36.027952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:37.067260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:38.105021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:39.186701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:40.399490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:33.153308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:34.113928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:34.940296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:36.132010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:37.202911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:38.246763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:48:39.304653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:48:44.939439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
조사년도 키대학 키설립유형 키학교유형 키대학규모 키지역 키재학생수MARC 데이터 구축 건수-국내-계MARC 데이터 구축 건수-국외-계MARC 데이터 구축 건수-합계디지털 콘텐츠 구축 건수-합계
조사년도 키1.0000.0000.0000.0000.0000.0000.0000.0000.0000.0150.000
대학 키0.0001.0000.5410.6100.4840.5050.2870.4600.1820.0000.122
설립유형 키0.0000.5411.0000.9100.5460.2260.1730.1890.1410.0000.136
학교유형 키0.0000.6100.9101.0000.8950.3490.2030.4140.1030.0000.122
대학규모 키0.0000.4840.5460.8951.0000.3610.3400.4310.1830.0000.196
지역 키0.0000.5050.2260.3490.3611.0000.1620.2240.1580.0000.113
재학생수0.0000.2870.1730.2030.3400.1621.0000.4360.3500.0390.226
MARC 데이터 구축 건수-국내-계0.0000.4600.1890.4140.4310.2240.4361.0000.3740.0420.263
MARC 데이터 구축 건수-국외-계0.0000.1820.1410.1030.1830.1580.3500.3741.0000.1570.267
MARC 데이터 구축 건수-합계0.0150.0000.0000.0000.0000.0000.0390.0420.1571.0000.000
디지털 콘텐츠 구축 건수-합계0.0000.1220.1360.1220.1960.1130.2260.2630.2670.0001.000
2023-12-12T10:48:45.113436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립유형 키학교유형 키대학규모 키
설립유형 키1.0000.6060.238
학교유형 키0.6061.0000.578
대학규모 키0.2380.5781.000
2023-12-12T10:48:45.230954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
조사년도 키대학 키지역 키재학생수MARC 데이터 구축 건수-국내-계MARC 데이터 구축 건수-국외-계MARC 데이터 구축 건수-합계디지털 콘텐츠 구축 건수-합계설립유형 키학교유형 키대학규모 키
조사년도 키1.0000.084-0.012-0.0500.0730.0550.2090.1280.0000.0000.018
대학 키0.0841.0000.069-0.633-0.665-0.638-0.477-0.6170.3540.4130.310
지역 키-0.0120.0691.000-0.149-0.090-0.157-0.143-0.1850.1370.2150.223
재학생수-0.050-0.633-0.1491.0000.7330.6880.5270.7300.1190.1410.239
MARC 데이터 구축 건수-국내-계0.073-0.665-0.0900.7331.0000.9070.6680.7920.1220.2760.290
MARC 데이터 구축 건수-국외-계0.055-0.638-0.1570.6880.9071.0000.6960.8100.0910.0660.119
MARC 데이터 구축 건수-합계0.209-0.477-0.1430.5270.6680.6961.0000.6910.0000.0000.000
디지털 콘텐츠 구축 건수-합계0.128-0.617-0.1850.7300.7920.8100.6911.0000.0620.0550.089
설립유형 키0.0000.3540.1370.1190.1220.0910.0000.0621.0000.6060.238
학교유형 키0.0000.4130.2150.1410.2760.0660.0000.0550.6061.0000.578
대학규모 키0.0180.3100.2230.2390.2900.1190.0000.0890.2380.5781.000

Missing values

2023-12-12T10:48:40.574982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:48:40.792620image/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 키대학 키설립유형 키학교유형 키대학규모 키지역 키재학생수MARC 데이터 구축 건수-국내-계MARC 데이터 구축 건수-국외-계MARC 데이터 구축 건수-합계디지털 콘텐츠 구축 건수-합계
02013184322325095428850803018
1201315632196251394682230046
220092183222270582543234700
320101303125649936840846263300371216
4201366312171224611201461141267198519
52013249322152917508123505061747
6201343531329320001112
720133783301223100018088
820084312068721840054514403417444
92008573112209445253662148050467724
조사년도 키대학 키설립유형 키학교유형 키대학규모 키지역 키재학생수MARC 데이터 구축 건수-국내-계MARC 데이터 구축 건수-국외-계MARC 데이터 구축 건수-합계디지털 콘텐츠 구축 건수-합계
494920151393309430000
49502015124113161790137059885609146
49512015244322142964555027426018849
495220172463219676117491118615082139
4953201722733018616286230311451559
4954201791111617261711025579746289641688435
4955201614611268965249911449751658317033
4956201627932358060002093
4957201621232213130920416675046704
495820163101239596277693817012681