Overview

Dataset statistics

Number of variables12
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory113.3 B

Variable types

Numeric11
Categorical1

Dataset

Description통합학급 교원 집계현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=1743HYP8EJW5G2KSEKCN25212618&infSeq=1

Alerts

전체인원수(명) is highly overall correlated with 전체특수교사자격소지인원수(명) and 9 other fieldsHigh correlation
전체특수교사자격소지인원수(명) is highly overall correlated with 전체인원수(명) and 9 other fieldsHigh correlation
유치원전체인원수(명) is highly overall correlated with 전체인원수(명) and 9 other fieldsHigh correlation
유치원특수교사자격소지인원수(명) is highly overall correlated with 전체인원수(명) and 9 other fieldsHigh correlation
초등학교전체인원수(명) is highly overall correlated with 전체인원수(명) and 9 other fieldsHigh correlation
초등학교특수교사자격소지인원수(명) is highly overall correlated with 전체인원수(명) and 8 other fieldsHigh correlation
중학교전체인원수(명) is highly overall correlated with 전체인원수(명) and 9 other fieldsHigh correlation
중학교특수교사자격소지인원수(명) is highly overall correlated with 전체인원수(명) and 8 other fieldsHigh correlation
고등학교전체인원수(명) is highly overall correlated with 전체인원수(명) and 9 other fieldsHigh correlation
고등학교특수교사자격소지인원수(명) is highly overall correlated with 전체인원수(명) and 8 other fieldsHigh correlation
학교유형명 is highly overall correlated with 전체인원수(명) and 6 other fieldsHigh correlation
전체인원수(명) has 7 (33.3%) zerosZeros
전체특수교사자격소지인원수(명) has 7 (33.3%) zerosZeros
유치원전체인원수(명) has 7 (33.3%) zerosZeros
유치원특수교사자격소지인원수(명) has 7 (33.3%) zerosZeros
초등학교전체인원수(명) has 7 (33.3%) zerosZeros
초등학교특수교사자격소지인원수(명) has 9 (42.9%) zerosZeros
중학교전체인원수(명) has 7 (33.3%) zerosZeros
중학교특수교사자격소지인원수(명) has 9 (42.9%) zerosZeros
고등학교전체인원수(명) has 7 (33.3%) zerosZeros
고등학교특수교사자격소지인원수(명) has 7 (33.3%) zerosZeros

Reproduction

Analysis started2023-12-10 21:35:24.967381
Analysis finished2023-12-10 21:35:38.061284
Duration13.09 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Real number (ℝ)

Distinct7
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2015
Minimum2012
Maximum2018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T06:35:38.131112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2012
5-th percentile2012
Q12013
median2015
Q32017
95-th percentile2018
Maximum2018
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.0493902
Coefficient of variation (CV)0.0010170671
Kurtosis-1.2573099
Mean2015
Median Absolute Deviation (MAD)2
Skewness0
Sum42315
Variance4.2
MonotonicityDecreasing
2023-12-11T06:35:38.256603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2018 3
14.3%
2017 3
14.3%
2016 3
14.3%
2015 3
14.3%
2014 3
14.3%
2013 3
14.3%
2012 3
14.3%
ValueCountFrequency (%)
2012 3
14.3%
2013 3
14.3%
2014 3
14.3%
2015 3
14.3%
2016 3
14.3%
2017 3
14.3%
2018 3
14.3%
ValueCountFrequency (%)
2018 3
14.3%
2017 3
14.3%
2016 3
14.3%
2015 3
14.3%
2014 3
14.3%
2013 3
14.3%
2012 3
14.3%

학교유형명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
공립
국립
사립

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공립 7
33.3%
국립 7
33.3%
사립 7
33.3%

Length

2023-12-11T06:35:38.408455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:35:38.539879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 7
33.3%
국립 7
33.3%
사립 7
33.3%

전체인원수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct15
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3933
Minimum0
Maximum12528
Zeros7
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T06:35:38.940832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median495
Q310666
95-th percentile11972
Maximum12528
Range12528
Interquartile range (IQR)10666

Descriptive statistics

Standard deviation5351.5679
Coefficient of variation (CV)1.3606834
Kurtosis-1.5114398
Mean3933
Median Absolute Deviation (MAD)495
Skewness0.77668305
Sum82593
Variance28639280
MonotonicityNot monotonic
2023-12-11T06:35:39.044051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 7
33.3%
12528 1
 
4.8%
495 1
 
4.8%
11972 1
 
4.8%
444 1
 
4.8%
11384 1
 
4.8%
435 1
 
4.8%
11021 1
 
4.8%
463 1
 
4.8%
10969 1
 
4.8%
Other values (5) 5
23.8%
ValueCountFrequency (%)
0 7
33.3%
435 1
 
4.8%
444 1
 
4.8%
463 1
 
4.8%
495 1
 
4.8%
502 1
 
4.8%
589 1
 
4.8%
619 1
 
4.8%
10506 1
 
4.8%
10666 1
 
4.8%
ValueCountFrequency (%)
12528 1
4.8%
11972 1
4.8%
11384 1
4.8%
11021 1
4.8%
10969 1
4.8%
10666 1
4.8%
10506 1
4.8%
619 1
4.8%
589 1
4.8%
502 1
4.8%

전체특수교사자격소지인원수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct12
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.190476
Minimum0
Maximum157
Zeros7
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T06:35:39.156294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q374
95-th percentile137
Maximum157
Range157
Interquartile range (IQR)74

Descriptive statistics

Standard deviation56.721794
Coefficient of variation (CV)1.4113243
Kurtosis-0.63734992
Mean40.190476
Median Absolute Deviation (MAD)5
Skewness1.0468821
Sum844
Variance3217.3619
MonotonicityNot monotonic
2023-12-11T06:35:39.256230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 7
33.3%
5 3
14.3%
6 2
 
9.5%
73 1
 
4.8%
106 1
 
4.8%
74 1
 
4.8%
4 1
 
4.8%
130 1
 
4.8%
125 1
 
4.8%
11 1
 
4.8%
Other values (2) 2
 
9.5%
ValueCountFrequency (%)
0 7
33.3%
4 1
 
4.8%
5 3
14.3%
6 2
 
9.5%
11 1
 
4.8%
73 1
 
4.8%
74 1
 
4.8%
106 1
 
4.8%
125 1
 
4.8%
130 1
 
4.8%
ValueCountFrequency (%)
157 1
 
4.8%
137 1
 
4.8%
130 1
 
4.8%
125 1
 
4.8%
106 1
 
4.8%
74 1
 
4.8%
73 1
 
4.8%
11 1
 
4.8%
6 2
9.5%
5 3
14.3%

유치원전체인원수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct15
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean159.7619
Minimum0
Maximum572
Zeros7
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T06:35:39.382169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median95
Q3222
95-th percentile496
Maximum572
Range572
Interquartile range (IQR)222

Descriptive statistics

Standard deviation176.27561
Coefficient of variation (CV)1.1033645
Kurtosis0.15488125
Mean159.7619
Median Absolute Deviation (MAD)95
Skewness1.0492013
Sum3355
Variance31073.09
MonotonicityNot monotonic
2023-12-11T06:35:39.505400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 7
33.3%
572 1
 
4.8%
95 1
 
4.8%
496 1
 
4.8%
65 1
 
4.8%
404 1
 
4.8%
67 1
 
4.8%
371 1
 
4.8%
79 1
 
4.8%
298 1
 
4.8%
Other values (5) 5
23.8%
ValueCountFrequency (%)
0 7
33.3%
65 1
 
4.8%
67 1
 
4.8%
79 1
 
4.8%
95 1
 
4.8%
121 1
 
4.8%
176 1
 
4.8%
189 1
 
4.8%
200 1
 
4.8%
222 1
 
4.8%
ValueCountFrequency (%)
572 1
4.8%
496 1
4.8%
404 1
4.8%
371 1
4.8%
298 1
4.8%
222 1
4.8%
200 1
4.8%
189 1
4.8%
176 1
4.8%
121 1
4.8%

유치원특수교사자격소지인원수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct11
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.5714286
Minimum0
Maximum22
Zeros7
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T06:35:39.616090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q311
95-th percentile17
Maximum22
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.9178857
Coefficient of variation (CV)1.2416718
Kurtosis-0.092016899
Mean5.5714286
Median Absolute Deviation (MAD)2
Skewness1.0745261
Sum117
Variance47.857143
MonotonicityNot monotonic
2023-12-11T06:35:39.699301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 7
33.3%
2 3
14.3%
1 2
 
9.5%
4 2
 
9.5%
12 1
 
4.8%
16 1
 
4.8%
13 1
 
4.8%
17 1
 
4.8%
22 1
 
4.8%
11 1
 
4.8%
ValueCountFrequency (%)
0 7
33.3%
1 2
 
9.5%
2 3
14.3%
4 2
 
9.5%
10 1
 
4.8%
11 1
 
4.8%
12 1
 
4.8%
13 1
 
4.8%
16 1
 
4.8%
17 1
 
4.8%
ValueCountFrequency (%)
22 1
 
4.8%
17 1
 
4.8%
16 1
 
4.8%
13 1
 
4.8%
12 1
 
4.8%
11 1
 
4.8%
10 1
 
4.8%
4 2
9.5%
2 3
14.3%
1 2
9.5%

초등학교전체인원수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct10
Distinct (%)47.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1955.1429
Minimum0
Maximum6758
Zeros7
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T06:35:39.794067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median30
Q35489
95-th percentile6278
Maximum6758
Range6758
Interquartile range (IQR)5489

Descriptive statistics

Standard deviation2824.3865
Coefficient of variation (CV)1.4445934
Kurtosis-1.4598188
Mean1955.1429
Median Absolute Deviation (MAD)30
Skewness0.7960934
Sum41058
Variance7977159.2
MonotonicityNot monotonic
2023-12-11T06:35:39.893650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 7
33.3%
30 4
19.0%
31 3
14.3%
6758 1
 
4.8%
6278 1
 
4.8%
5753 1
 
4.8%
5601 1
 
4.8%
5523 1
 
4.8%
5443 1
 
4.8%
5489 1
 
4.8%
ValueCountFrequency (%)
0 7
33.3%
30 4
19.0%
31 3
14.3%
5443 1
 
4.8%
5489 1
 
4.8%
5523 1
 
4.8%
5601 1
 
4.8%
5753 1
 
4.8%
6278 1
 
4.8%
6758 1
 
4.8%
ValueCountFrequency (%)
6758 1
 
4.8%
6278 1
 
4.8%
5753 1
 
4.8%
5601 1
 
4.8%
5523 1
 
4.8%
5489 1
 
4.8%
5443 1
 
4.8%
31 3
14.3%
30 4
19.0%
0 7
33.3%

초등학교특수교사자격소지인원수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct9
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.904762
Minimum0
Maximum110
Zeros9
Zeros (%)42.9%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T06:35:40.006299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q347
95-th percentile82
Maximum110
Range110
Interquartile range (IQR)47

Descriptive statistics

Standard deviation35.128201
Coefficient of variation (CV)1.5336636
Kurtosis0.28642622
Mean22.904762
Median Absolute Deviation (MAD)1
Skewness1.2471493
Sum481
Variance1233.9905
MonotonicityNot monotonic
2023-12-11T06:35:40.118088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 9
42.9%
1 5
23.8%
47 1
 
4.8%
61 1
 
4.8%
41 1
 
4.8%
76 1
 
4.8%
59 1
 
4.8%
110 1
 
4.8%
82 1
 
4.8%
ValueCountFrequency (%)
0 9
42.9%
1 5
23.8%
41 1
 
4.8%
47 1
 
4.8%
59 1
 
4.8%
61 1
 
4.8%
76 1
 
4.8%
82 1
 
4.8%
110 1
 
4.8%
ValueCountFrequency (%)
110 1
 
4.8%
82 1
 
4.8%
76 1
 
4.8%
61 1
 
4.8%
59 1
 
4.8%
47 1
 
4.8%
41 1
 
4.8%
1 5
23.8%
0 9
42.9%

중학교전체인원수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct15
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean980.80952
Minimum0
Maximum2946
Zeros7
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T06:35:40.218819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median155
Q32696
95-th percentile2848
Maximum2946
Range2946
Interquartile range (IQR)2696

Descriptive statistics

Standard deviation1312.307
Coefficient of variation (CV)1.3379835
Kurtosis-1.5616183
Mean980.80952
Median Absolute Deviation (MAD)155
Skewness0.75950627
Sum20597
Variance1722149.6
MonotonicityNot monotonic
2023-12-11T06:35:40.331129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 7
33.3%
2672 1
 
4.8%
150 1
 
4.8%
2696 1
 
4.8%
140 1
 
4.8%
2798 1
 
4.8%
147 1
 
4.8%
2789 1
 
4.8%
163 1
 
4.8%
2946 1
 
4.8%
Other values (5) 5
23.8%
ValueCountFrequency (%)
0 7
33.3%
140 1
 
4.8%
147 1
 
4.8%
150 1
 
4.8%
155 1
 
4.8%
159 1
 
4.8%
163 1
 
4.8%
164 1
 
4.8%
2672 1
 
4.8%
2696 1
 
4.8%
ValueCountFrequency (%)
2946 1
4.8%
2848 1
4.8%
2798 1
4.8%
2789 1
4.8%
2770 1
4.8%
2696 1
4.8%
2672 1
4.8%
164 1
4.8%
163 1
4.8%
159 1
4.8%

중학교특수교사자격소지인원수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct9
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6
Minimum0
Maximum32
Zeros9
Zeros (%)42.9%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T06:35:40.425892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile21
Maximum32
Range32
Interquartile range (IQR)6

Descriptive statistics

Standard deviation9.1815031
Coefficient of variation (CV)1.5302505
Kurtosis1.9033936
Mean6
Median Absolute Deviation (MAD)1
Skewness1.6244783
Sum126
Variance84.3
MonotonicityNot monotonic
2023-12-11T06:35:40.522512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 9
42.9%
1 3
 
14.3%
6 2
 
9.5%
18 2
 
9.5%
5 1
 
4.8%
15 1
 
4.8%
21 1
 
4.8%
2 1
 
4.8%
32 1
 
4.8%
ValueCountFrequency (%)
0 9
42.9%
1 3
 
14.3%
2 1
 
4.8%
5 1
 
4.8%
6 2
 
9.5%
15 1
 
4.8%
18 2
 
9.5%
21 1
 
4.8%
32 1
 
4.8%
ValueCountFrequency (%)
32 1
 
4.8%
21 1
 
4.8%
18 2
 
9.5%
15 1
 
4.8%
6 2
 
9.5%
5 1
 
4.8%
2 1
 
4.8%
1 3
 
14.3%
0 9
42.9%

고등학교전체인원수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct14
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean837.28571
Minimum0
Maximum2526
Zeros7
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T06:35:40.622789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median209
Q32175
95-th percentile2502
Maximum2526
Range2526
Interquartile range (IQR)2175

Descriptive statistics

Standard deviation1074.3154
Coefficient of variation (CV)1.283093
Kurtosis-1.4858674
Mean837.28571
Median Absolute Deviation (MAD)209
Skewness0.76901503
Sum17583
Variance1154153.6
MonotonicityNot monotonic
2023-12-11T06:35:40.730911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 7
33.3%
190 2
 
9.5%
2526 1
 
4.8%
219 1
 
4.8%
2502 1
 
4.8%
209 1
 
4.8%
2429 1
 
4.8%
2260 1
 
4.8%
2202 1
 
4.8%
187 1
 
4.8%
Other values (4) 4
19.0%
ValueCountFrequency (%)
0 7
33.3%
187 1
 
4.8%
190 2
 
9.5%
209 1
 
4.8%
211 1
 
4.8%
212 1
 
4.8%
219 1
 
4.8%
2071 1
 
4.8%
2175 1
 
4.8%
2202 1
 
4.8%
ValueCountFrequency (%)
2526 1
4.8%
2502 1
4.8%
2429 1
4.8%
2260 1
4.8%
2202 1
4.8%
2175 1
4.8%
2071 1
4.8%
219 1
4.8%
212 1
4.8%
211 1
4.8%

고등학교특수교사자격소지인원수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct10
Distinct (%)47.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.7142857
Minimum0
Maximum26
Zeros7
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T06:35:40.834950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q39
95-th percentile23
Maximum26
Range26
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.3375228
Coefficient of variation (CV)1.4590665
Kurtosis0.76198976
Mean5.7142857
Median Absolute Deviation (MAD)1
Skewness1.4300877
Sum120
Variance69.514286
MonotonicityNot monotonic
2023-12-11T06:35:40.938187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 7
33.3%
1 4
19.0%
2 3
14.3%
9 1
 
4.8%
23 1
 
4.8%
5 1
 
4.8%
16 1
 
4.8%
26 1
 
4.8%
18 1
 
4.8%
13 1
 
4.8%
ValueCountFrequency (%)
0 7
33.3%
1 4
19.0%
2 3
14.3%
5 1
 
4.8%
9 1
 
4.8%
13 1
 
4.8%
16 1
 
4.8%
18 1
 
4.8%
23 1
 
4.8%
26 1
 
4.8%
ValueCountFrequency (%)
26 1
 
4.8%
23 1
 
4.8%
18 1
 
4.8%
16 1
 
4.8%
13 1
 
4.8%
9 1
 
4.8%
5 1
 
4.8%
2 3
14.3%
1 4
19.0%
0 7
33.3%

Interactions

2023-12-11T06:35:36.203532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:25.433036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:26.506303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:27.832612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:28.852384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:30.071988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:31.000378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:32.078052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:33.084030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:33.930990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:34.967954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:36.366597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:25.543123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:26.610494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:27.919734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:28.927752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:30.146442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:31.076072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:32.167482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:33.159734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:34.043841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:35.065932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:36.523578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:25.657679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:26.977601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:28.017124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:29.019737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:30.218328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:31.194636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:32.260052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:33.230118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:34.129829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:35.163372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:36.752010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:25.764141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:27.082619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:28.111169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:29.104745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:30.300909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:31.329205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:32.556535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:33.307132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:34.246247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:35.270149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:36.884077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:25.862055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:27.183321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:28.196510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:29.180039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:30.375441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:31.453311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:32.622605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:33.376080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:34.347288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:35.360646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:36.994298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:25.949953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:27.267307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:28.283137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:29.324577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:30.449747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:31.556022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:32.688429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:33.444102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:34.427544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:35.434589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:37.098846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:26.051328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:27.363138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:28.371492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:29.613047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:30.548282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:31.634309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:32.759235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:33.521952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:34.521101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:35.521968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:37.195711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:26.148830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:27.461783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:28.477656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:29.735949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:30.625519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:31.719037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:32.822953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:33.602457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:34.610783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:35.614936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:37.299516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:26.251849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:27.568113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:28.582874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:29.821054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:30.717870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:31.798934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:32.888192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:33.677244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:34.697961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:35.706773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:37.442157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:26.346698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:27.662606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:28.693235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:29.920350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:30.825247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:31.915119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:32.954572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:33.755694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:34.788275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:35.813779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:37.558156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:26.423273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:27.753007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:28.773307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:29.996109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:30.904077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:31.989677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:33.018812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:33.839544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:34.871169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:36.030879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:35:41.018200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도학교유형명전체인원수(명)전체특수교사자격소지인원수(명)유치원전체인원수(명)유치원특수교사자격소지인원수(명)초등학교전체인원수(명)초등학교특수교사자격소지인원수(명)중학교전체인원수(명)중학교특수교사자격소지인원수(명)고등학교전체인원수(명)고등학교특수교사자격소지인원수(명)
기준년도1.0000.0000.0000.0000.3810.0000.0000.0000.0000.0000.0000.000
학교유형명0.0001.0000.9270.8790.9900.9260.9270.6461.0000.8310.9270.646
전체인원수(명)0.0000.9271.0001.0000.9870.9560.9870.8931.0000.9941.0001.000
전체특수교사자격소지인원수(명)0.0000.8791.0001.0000.9380.9680.9900.9261.0000.9531.0000.944
유치원전체인원수(명)0.3810.9900.9870.9381.0000.9120.9910.8950.7870.9370.9870.924
유치원특수교사자격소지인원수(명)0.0000.9260.9560.9680.9121.0000.9300.8531.0000.9500.9560.889
초등학교전체인원수(명)0.0000.9270.9870.9900.9910.9301.0000.8781.0000.9880.9871.000
초등학교특수교사자격소지인원수(명)0.0000.6460.8930.9260.8950.8530.8781.0001.0000.9410.8930.994
중학교전체인원수(명)0.0001.0001.0001.0000.7871.0001.0001.0001.0000.9881.0001.000
중학교특수교사자격소지인원수(명)0.0000.8310.9940.9530.9370.9500.9880.9410.9881.0000.9940.915
고등학교전체인원수(명)0.0000.9271.0001.0000.9870.9560.9870.8931.0000.9941.0001.000
고등학교특수교사자격소지인원수(명)0.0000.6461.0000.9440.9240.8891.0000.9941.0000.9151.0001.000
2023-12-11T06:35:41.168373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도전체인원수(명)전체특수교사자격소지인원수(명)유치원전체인원수(명)유치원특수교사자격소지인원수(명)초등학교전체인원수(명)초등학교특수교사자격소지인원수(명)중학교전체인원수(명)중학교특수교사자격소지인원수(명)고등학교전체인원수(명)고등학교특수교사자격소지인원수(명)학교유형명
기준년도1.0000.028-0.1750.024-0.0040.1650.004-0.128-0.2090.122-0.0280.000
전체인원수(명)0.0281.0000.9230.9920.9620.9470.8270.9230.8710.9770.9100.667
전체특수교사자격소지인원수(명)-0.1750.9231.0000.8880.9460.8710.8780.9690.9520.8910.9340.527
유치원전체인원수(명)0.0240.9920.8881.0000.9450.9260.7830.8980.8330.9650.8860.713
유치원특수교사자격소지인원수(명)-0.0040.9620.9460.9451.0000.9180.8220.9520.8920.9420.9380.609
초등학교전체인원수(명)0.1650.9470.8710.9260.9181.0000.8880.8980.8250.9660.9160.667
초등학교특수교사자격소지인원수(명)0.0040.8270.8780.7830.8220.8881.0000.8510.8070.8760.9330.471
중학교전체인원수(명)-0.1280.9230.9690.8980.9520.8980.8511.0000.9520.8880.9200.973
중학교특수교사자격소지인원수(명)-0.2090.8710.9520.8330.8920.8250.8070.9521.0000.8160.8290.463
고등학교전체인원수(명)0.1220.9770.8910.9650.9420.9660.8760.8880.8161.0000.9220.667
고등학교특수교사자격소지인원수(명)-0.0280.9100.9340.8860.9380.9160.9330.9200.8290.9221.0000.471
학교유형명0.0000.6670.5270.7130.6090.6670.4710.9730.4630.6670.4711.000

Missing values

2023-12-11T06:35:37.704028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:35:37.933458image/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

기준년도학교유형명전체인원수(명)전체특수교사자격소지인원수(명)유치원전체인원수(명)유치원특수교사자격소지인원수(명)초등학교전체인원수(명)초등학교특수교사자격소지인원수(명)중학교전체인원수(명)중학교특수교사자격소지인원수(명)고등학교전체인원수(명)고등학교특수교사자격소지인원수(명)
02018공립1252873572126758472672525269
12018국립0000000000
22018사립495595231115012191
32017공립119721064961662786126966250223
42017국립0000000000
52017사립444565230114002092
62016공립11384744041357534127981524295
72016국립0000000000
82016사립435467131114701902
92015공립1102113037117560176278921226016
기준년도학교유형명전체인원수(명)전체특수교사자격소지인원수(명)유치원전체인원수(명)유치원특수교사자격소지인원수(명)초등학교전체인원수(명)초등학교특수교사자격소지인원수(명)중학교전체인원수(명)중학교특수교사자격소지인원수(명)고등학교전체인원수(명)고등학교특수교사자격소지인원수(명)
112015사립463579131116321901
122014공립1096912529822552359294618220226
132014국립0000000000
142014사립50211121430016461871
152013공립10666157200115443110284818217518
162013국립0000000000
172013사립5896189430015912111
182012공립1050613717610548982277032207113
192012국립0000000000
202012사립6196222230115512122