Overview

Dataset statistics

Number of variables17
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 KiB
Average record size in memory155.7 B

Variable types

Numeric16
Categorical1

Dataset

Description성별 일반학급 배치 학생수
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=QUJ69N9ZE6F4ARWDCHAB25103168&infSeq=1

Alerts

전체학생수(명) is highly overall correlated with 전체남자학생수(명) and 14 other fieldsHigh correlation
전체남자학생수(명) is highly overall correlated with 전체학생수(명) and 14 other fieldsHigh correlation
전체여자학생수(명) is highly overall correlated with 전체학생수(명) and 14 other fieldsHigh correlation
유치원전체학생수(명) is highly overall correlated with 전체학생수(명) and 14 other fieldsHigh correlation
유치원남자학생수(명) is highly overall correlated with 전체학생수(명) and 14 other fieldsHigh correlation
유치원여자학생수(명) is highly overall correlated with 전체학생수(명) and 14 other fieldsHigh correlation
초등학교전체학생수(명) is highly overall correlated with 전체학생수(명) and 14 other fieldsHigh correlation
초등학교남자학생수(명) is highly overall correlated with 전체학생수(명) and 14 other fieldsHigh correlation
초등학교여자학생수(명) is highly overall correlated with 전체학생수(명) and 14 other fieldsHigh correlation
중학교전체학생수(명) is highly overall correlated with 전체학생수(명) and 14 other fieldsHigh correlation
중학교남자학생수(명) is highly overall correlated with 전체학생수(명) and 14 other fieldsHigh correlation
중학교여자학생수(명) is highly overall correlated with 전체학생수(명) and 14 other fieldsHigh correlation
고등학교전체학생수(명) is highly overall correlated with 전체학생수(명) and 14 other fieldsHigh correlation
고등학교남자학생수(명) is highly overall correlated with 전체학생수(명) and 14 other fieldsHigh correlation
고등학교여자학생수(명) is highly overall correlated with 전체학생수(명) and 14 other fieldsHigh correlation
학교유형명 is highly overall correlated with 전체학생수(명) and 14 other fieldsHigh correlation
전체학생수(명) has 12 (33.3%) zerosZeros
전체남자학생수(명) has 12 (33.3%) zerosZeros
전체여자학생수(명) has 12 (33.3%) zerosZeros
유치원전체학생수(명) has 12 (33.3%) zerosZeros
유치원남자학생수(명) has 12 (33.3%) zerosZeros
유치원여자학생수(명) has 12 (33.3%) zerosZeros
초등학교전체학생수(명) has 12 (33.3%) zerosZeros
초등학교남자학생수(명) has 12 (33.3%) zerosZeros
초등학교여자학생수(명) has 12 (33.3%) zerosZeros
중학교전체학생수(명) has 12 (33.3%) zerosZeros
중학교남자학생수(명) has 12 (33.3%) zerosZeros
중학교여자학생수(명) has 12 (33.3%) zerosZeros
고등학교전체학생수(명) has 12 (33.3%) zerosZeros
고등학교남자학생수(명) has 12 (33.3%) zerosZeros
고등학교여자학생수(명) has 12 (33.3%) zerosZeros

Reproduction

Analysis started2023-12-10 21:44:21.897171
Analysis finished2023-12-10 21:44:47.538467
Duration25.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Real number (ℝ)

Distinct12
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2017.5
Minimum2012
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:44:47.595881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2012
5-th percentile2012
Q12014.75
median2017.5
Q32020.25
95-th percentile2023
Maximum2023
Range11
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation3.5010203
Coefficient of variation (CV)0.001735326
Kurtosis-1.217232
Mean2017.5
Median Absolute Deviation (MAD)3
Skewness0
Sum72630
Variance12.257143
MonotonicityDecreasing
2023-12-11T06:44:47.689291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2023 3
8.3%
2022 3
8.3%
2021 3
8.3%
2020 3
8.3%
2019 3
8.3%
2018 3
8.3%
2017 3
8.3%
2016 3
8.3%
2015 3
8.3%
2014 3
8.3%
Other values (2) 6
16.7%
ValueCountFrequency (%)
2012 3
8.3%
2013 3
8.3%
2014 3
8.3%
2015 3
8.3%
2016 3
8.3%
2017 3
8.3%
2018 3
8.3%
2019 3
8.3%
2020 3
8.3%
2021 3
8.3%
ValueCountFrequency (%)
2023 3
8.3%
2022 3
8.3%
2021 3
8.3%
2020 3
8.3%
2019 3
8.3%
2018 3
8.3%
2017 3
8.3%
2016 3
8.3%
2015 3
8.3%
2014 3
8.3%

학교유형명
Categorical

HIGH CORRELATION 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

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

Length

2023-12-11T06:44:47.785432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:44:47.868763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 12
33.3%
국립 12
33.3%
사립 12
33.3%

전체학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct25
Distinct (%)69.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean974.77778
Minimum0
Maximum3604
Zeros12
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:44:47.948913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median297
Q32126.25
95-th percentile3059
Maximum3604
Range3604
Interquartile range (IQR)2126.25

Descriptive statistics

Standard deviation1202.6588
Coefficient of variation (CV)1.2337774
Kurtosis-0.88918219
Mean974.77778
Median Absolute Deviation (MAD)297
Skewness0.8870392
Sum35092
Variance1446388.2
MonotonicityNot monotonic
2023-12-11T06:44:48.040994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 12
33.3%
3604 1
 
2.8%
531 1
 
2.8%
2316 1
 
2.8%
488 1
 
2.8%
2277 1
 
2.8%
367 1
 
2.8%
2076 1
 
2.8%
286 1
 
2.8%
2048 1
 
2.8%
Other values (15) 15
41.7%
ValueCountFrequency (%)
0 12
33.3%
259 1
 
2.8%
261 1
 
2.8%
286 1
 
2.8%
289 1
 
2.8%
291 1
 
2.8%
294 1
 
2.8%
300 1
 
2.8%
310 1
 
2.8%
326 1
 
2.8%
ValueCountFrequency (%)
3604 1
2.8%
3248 1
2.8%
2996 1
2.8%
2922 1
2.8%
2745 1
2.8%
2502 1
2.8%
2316 1
2.8%
2288 1
2.8%
2277 1
2.8%
2076 1
2.8%

전체남자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct25
Distinct (%)69.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean645
Minimum0
Maximum2626
Zeros12
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:44:48.136623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median183.5
Q31334
95-th percentile2228.25
Maximum2626
Range2626
Interquartile range (IQR)1334

Descriptive statistics

Standard deviation826.37584
Coefficient of variation (CV)1.2812029
Kurtosis-0.30286939
Mean645
Median Absolute Deviation (MAD)183.5
Skewness1.0577032
Sum23220
Variance682897.03
MonotonicityNot monotonic
2023-12-11T06:44:48.237175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 12
33.3%
2430 1
 
2.8%
332 1
 
2.8%
1462 1
 
2.8%
293 1
 
2.8%
1440 1
 
2.8%
226 1
 
2.8%
1300 1
 
2.8%
183 1
 
2.8%
1255 1
 
2.8%
Other values (15) 15
41.7%
ValueCountFrequency (%)
0 12
33.3%
153 1
 
2.8%
159 1
 
2.8%
174 1
 
2.8%
178 1
 
2.8%
180 1
 
2.8%
183 1
 
2.8%
184 1
 
2.8%
196 1
 
2.8%
198 1
 
2.8%
ValueCountFrequency (%)
2626 1
2.8%
2430 1
2.8%
2161 1
2.8%
1979 1
2.8%
1806 1
2.8%
1577 1
2.8%
1462 1
2.8%
1440 1
2.8%
1436 1
2.8%
1300 1
2.8%

전체여자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct24
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean349.22222
Minimum0
Maximum1174
Zeros12
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:44:48.351593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median115
Q3804
95-th percentile1034.5
Maximum1174
Range1174
Interquartile range (IQR)804

Descriptive statistics

Standard deviation418.62804
Coefficient of variation (CV)1.198744
Kurtosis-1.2164368
Mean349.22222
Median Absolute Deviation (MAD)115
Skewness0.78117499
Sum12572
Variance175249.43
MonotonicityNot monotonic
2023-12-11T06:44:48.612313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 12
33.3%
776 2
 
5.6%
1174 1
 
2.8%
852 1
 
2.8%
199 1
 
2.8%
854 1
 
2.8%
195 1
 
2.8%
837 1
 
2.8%
141 1
 
2.8%
103 1
 
2.8%
Other values (14) 14
38.9%
ValueCountFrequency (%)
0 12
33.3%
100 1
 
2.8%
103 1
 
2.8%
108 1
 
2.8%
109 1
 
2.8%
113 1
 
2.8%
114 1
 
2.8%
116 1
 
2.8%
120 1
 
2.8%
128 1
 
2.8%
ValueCountFrequency (%)
1174 1
2.8%
1087 1
2.8%
1017 1
2.8%
996 1
2.8%
939 1
2.8%
925 1
2.8%
854 1
2.8%
852 1
2.8%
837 1
2.8%
793 1
2.8%

유치원전체학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct23
Distinct (%)63.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.75
Minimum0
Maximum244
Zeros12
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:44:48.705818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median79
Q3111.75
95-th percentile143.5
Maximum244
Range244
Interquartile range (IQR)111.75

Descriptive statistics

Standard deviation61.780429
Coefficient of variation (CV)0.88574092
Kurtosis0.2189827
Mean69.75
Median Absolute Deviation (MAD)44.5
Skewness0.5470369
Sum2511
Variance3816.8214
MonotonicityNot monotonic
2023-12-11T06:44:48.797490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 12
33.3%
97 2
 
5.6%
117 2
 
5.6%
127 1
 
2.8%
62 1
 
2.8%
244 1
 
2.8%
29 1
 
2.8%
193 1
 
2.8%
46 1
 
2.8%
122 1
 
2.8%
Other values (13) 13
36.1%
ValueCountFrequency (%)
0 12
33.3%
29 1
 
2.8%
46 1
 
2.8%
59 1
 
2.8%
60 1
 
2.8%
62 1
 
2.8%
75 1
 
2.8%
83 1
 
2.8%
94 1
 
2.8%
97 2
 
5.6%
ValueCountFrequency (%)
244 1
2.8%
193 1
2.8%
127 1
2.8%
126 1
2.8%
125 1
2.8%
122 1
2.8%
117 2
5.6%
114 1
2.8%
111 1
2.8%
107 1
2.8%

유치원남자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct22
Distinct (%)61.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.583333
Minimum0
Maximum157
Zeros12
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:44:48.886709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median50.5
Q372
95-th percentile100.25
Maximum157
Range157
Interquartile range (IQR)72

Descriptive statistics

Standard deviation40.302694
Coefficient of variation (CV)0.88415416
Kurtosis-0.087843827
Mean45.583333
Median Absolute Deviation (MAD)29.5
Skewness0.48328026
Sum1641
Variance1624.3071
MonotonicityNot monotonic
2023-12-11T06:44:48.982063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 12
33.3%
62 3
 
8.3%
72 2
 
5.6%
96 1
 
2.8%
79 1
 
2.8%
157 1
 
2.8%
21 1
 
2.8%
113 1
 
2.8%
30 1
 
2.8%
67 1
 
2.8%
Other values (12) 12
33.3%
ValueCountFrequency (%)
0 12
33.3%
21 1
 
2.8%
30 1
 
2.8%
35 1
 
2.8%
38 1
 
2.8%
39 1
 
2.8%
47 1
 
2.8%
54 1
 
2.8%
62 3
 
8.3%
63 1
 
2.8%
ValueCountFrequency (%)
157 1
2.8%
113 1
2.8%
96 1
2.8%
95 1
2.8%
88 1
2.8%
80 1
2.8%
79 1
2.8%
73 1
2.8%
72 2
5.6%
71 1
2.8%

유치원여자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct20
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.166667
Minimum0
Maximum87
Zeros12
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:44:49.106229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median28.5
Q335.25
95-th percentile61.25
Maximum87
Range87
Interquartile range (IQR)35.25

Descriptive statistics

Standard deviation22.371538
Coefficient of variation (CV)0.92571882
Kurtosis0.91046996
Mean24.166667
Median Absolute Deviation (MAD)14
Skewness0.83610413
Sum870
Variance500.48571
MonotonicityNot monotonic
2023-12-11T06:44:49.217000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 12
33.3%
32 4
 
11.1%
31 2
 
5.6%
37 2
 
5.6%
33 1
 
2.8%
87 1
 
2.8%
8 1
 
2.8%
80 1
 
2.8%
16 1
 
2.8%
55 1
 
2.8%
Other values (10) 10
27.8%
ValueCountFrequency (%)
0 12
33.3%
8 1
 
2.8%
16 1
 
2.8%
21 1
 
2.8%
23 1
 
2.8%
25 1
 
2.8%
28 1
 
2.8%
29 1
 
2.8%
31 2
 
5.6%
32 4
 
11.1%
ValueCountFrequency (%)
87 1
2.8%
80 1
2.8%
55 1
2.8%
45 1
2.8%
44 1
2.8%
41 1
2.8%
37 2
5.6%
36 1
2.8%
35 1
2.8%
33 1
2.8%

초등학교전체학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct24
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean452.94444
Minimum0
Maximum2070
Zeros12
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:44:49.330559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median23.5
Q3988.5
95-th percentile1700.75
Maximum2070
Range2070
Interquartile range (IQR)988.5

Descriptive statistics

Standard deviation667.59941
Coefficient of variation (CV)1.4739101
Kurtosis-0.26403281
Mean452.94444
Median Absolute Deviation (MAD)23.5
Skewness1.1056718
Sum16306
Variance445688.97
MonotonicityNot monotonic
2023-12-11T06:44:49.441413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 12
33.3%
23 2
 
5.6%
2070 1
 
2.8%
993 1
 
2.8%
31 1
 
2.8%
1037 1
 
2.8%
34 1
 
2.8%
983 1
 
2.8%
33 1
 
2.8%
987 1
 
2.8%
Other values (14) 14
38.9%
ValueCountFrequency (%)
0 12
33.3%
15 1
 
2.8%
18 1
 
2.8%
21 1
 
2.8%
22 1
 
2.8%
23 2
 
5.6%
24 1
 
2.8%
29 1
 
2.8%
31 1
 
2.8%
32 1
 
2.8%
ValueCountFrequency (%)
2070 1
2.8%
1880 1
2.8%
1641 1
2.8%
1566 1
2.8%
1491 1
2.8%
1266 1
2.8%
1101 1
2.8%
1037 1
2.8%
993 1
2.8%
987 1
2.8%

초등학교남자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct22
Distinct (%)61.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean297.13889
Minimum0
Maximum1415
Zeros12
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:44:49.522644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median16.5
Q3628
95-th percentile1149.5
Maximum1415
Range1415
Interquartile range (IQR)628

Descriptive statistics

Standard deviation443.33606
Coefficient of variation (CV)1.4920163
Kurtosis0.060499623
Mean297.13889
Median Absolute Deviation (MAD)16.5
Skewness1.1957708
Sum10697
Variance196546.87
MonotonicityNot monotonic
2023-12-11T06:44:49.608663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 12
33.3%
16 3
 
8.3%
23 2
 
5.6%
1415 1
 
2.8%
613 1
 
2.8%
26 1
 
2.8%
652 1
 
2.8%
25 1
 
2.8%
626 1
 
2.8%
634 1
 
2.8%
Other values (12) 12
33.3%
ValueCountFrequency (%)
0 12
33.3%
10 1
 
2.8%
13 1
 
2.8%
15 1
 
2.8%
16 3
 
8.3%
17 1
 
2.8%
20 1
 
2.8%
23 2
 
5.6%
25 1
 
2.8%
26 1
 
2.8%
ValueCountFrequency (%)
1415 1
2.8%
1277 1
2.8%
1107 1
2.8%
1049 1
2.8%
1002 1
2.8%
812 1
2.8%
692 1
2.8%
652 1
2.8%
634 1
2.8%
626 1
2.8%

초등학교여자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct19
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean155.80556
Minimum0
Maximum655
Zeros12
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:44:49.698460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6.5
Q3381.25
95-th percentile551.25
Maximum655
Range655
Interquartile range (IQR)381.25

Descriptive statistics

Standard deviation225.48675
Coefficient of variation (CV)1.4472318
Kurtosis-0.80605604
Mean155.80556
Median Absolute Deviation (MAD)6.5
Skewness0.95400989
Sum5609
Variance50844.275
MonotonicityNot monotonic
2023-12-11T06:44:49.785323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 12
33.3%
5 3
 
8.3%
6 3
 
8.3%
9 3
 
8.3%
655 1
 
2.8%
380 1
 
2.8%
385 1
 
2.8%
357 1
 
2.8%
10 1
 
2.8%
353 1
 
2.8%
Other values (9) 9
25.0%
ValueCountFrequency (%)
0 12
33.3%
5 3
 
8.3%
6 3
 
8.3%
7 1
 
2.8%
8 1
 
2.8%
9 3
 
8.3%
10 1
 
2.8%
353 1
 
2.8%
357 1
 
2.8%
380 1
 
2.8%
ValueCountFrequency (%)
655 1
2.8%
603 1
2.8%
534 1
2.8%
517 1
2.8%
489 1
2.8%
454 1
2.8%
409 1
2.8%
388 1
2.8%
385 1
2.8%
380 1
2.8%

중학교전체학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct23
Distinct (%)63.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean216.52778
Minimum0
Maximum767
Zeros12
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:44:49.877671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median69
Q3512.5
95-th percentile667
Maximum767
Range767
Interquartile range (IQR)512.5

Descriptive statistics

Standard deviation265.64751
Coefficient of variation (CV)1.2268519
Kurtosis-1.1211692
Mean216.52778
Median Absolute Deviation (MAD)69
Skewness0.81876488
Sum7795
Variance70568.599
MonotonicityNot monotonic
2023-12-11T06:44:49.972572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 12
33.3%
84 2
 
5.6%
64 2
 
5.6%
767 1
 
2.8%
50 1
 
2.8%
530 1
 
2.8%
91 1
 
2.8%
570 1
 
2.8%
78 1
 
2.8%
511 1
 
2.8%
Other values (13) 13
36.1%
ValueCountFrequency (%)
0 12
33.3%
50 1
 
2.8%
58 1
 
2.8%
59 1
 
2.8%
61 1
 
2.8%
64 2
 
5.6%
74 1
 
2.8%
78 1
 
2.8%
84 2
 
5.6%
91 1
 
2.8%
ValueCountFrequency (%)
767 1
2.8%
706 1
2.8%
654 1
2.8%
612 1
2.8%
570 1
2.8%
538 1
2.8%
530 1
2.8%
519 1
2.8%
514 1
2.8%
512 1
2.8%

중학교남자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct23
Distinct (%)63.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136.36111
Minimum0
Maximum509
Zeros12
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:44:50.078889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median46
Q3319.5
95-th percentile427
Maximum509
Range509
Interquartile range (IQR)319.5

Descriptive statistics

Standard deviation169.21316
Coefficient of variation (CV)1.2409195
Kurtosis-0.98184696
Mean136.36111
Median Absolute Deviation (MAD)46
Skewness0.85770017
Sum4909
Variance28633.094
MonotonicityNot monotonic
2023-12-11T06:44:50.181828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 12
33.3%
33 2
 
5.6%
316 2
 
5.6%
509 1
 
2.8%
319 1
 
2.8%
51 1
 
2.8%
323 1
 
2.8%
56 1
 
2.8%
359 1
 
2.8%
52 1
 
2.8%
Other values (13) 13
36.1%
ValueCountFrequency (%)
0 12
33.3%
24 1
 
2.8%
33 2
 
5.6%
34 1
 
2.8%
38 1
 
2.8%
42 1
 
2.8%
50 1
 
2.8%
51 1
 
2.8%
52 1
 
2.8%
54 1
 
2.8%
ValueCountFrequency (%)
509 1
2.8%
451 1
2.8%
419 1
2.8%
382 1
2.8%
359 1
2.8%
342 1
2.8%
330 1
2.8%
323 1
2.8%
321 1
2.8%
319 1
2.8%

중학교여자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct22
Distinct (%)61.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.166667
Minimum0
Maximum258
Zeros12
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:44:50.276621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median27
Q3191.5
95-th percentile240
Maximum258
Range258
Interquartile range (IQR)191.5

Descriptive statistics

Standard deviation96.685203
Coefficient of variation (CV)1.2060524
Kurtosis-1.2926096
Mean80.166667
Median Absolute Deviation (MAD)27
Skewness0.76583281
Sum2886
Variance9348.0286
MonotonicityNot monotonic
2023-12-11T06:44:50.372014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 12
33.3%
30 2
 
5.6%
196 2
 
5.6%
26 2
 
5.6%
258 1
 
2.8%
189 1
 
2.8%
33 1
 
2.8%
207 1
 
2.8%
35 1
 
2.8%
211 1
 
2.8%
Other values (12) 12
33.3%
ValueCountFrequency (%)
0 12
33.3%
21 1
 
2.8%
22 1
 
2.8%
24 1
 
2.8%
25 1
 
2.8%
26 2
 
5.6%
28 1
 
2.8%
30 2
 
5.6%
33 1
 
2.8%
35 1
 
2.8%
ValueCountFrequency (%)
258 1
2.8%
255 1
2.8%
235 1
2.8%
230 1
2.8%
211 1
2.8%
207 1
2.8%
198 1
2.8%
196 2
5.6%
190 1
2.8%
189 1
2.8%

고등학교전체학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct24
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean236.19444
Minimum0
Maximum720
Zeros12
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:44:50.473695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median118
Q3527
95-th percentile649.5
Maximum720
Range720
Interquartile range (IQR)527

Descriptive statistics

Standard deviation258.57067
Coefficient of variation (CV)1.0947364
Kurtosis-1.2583216
Mean236.19444
Median Absolute Deviation (MAD)118
Skewness0.69970694
Sum8503
Variance66858.79
MonotonicityNot monotonic
2023-12-11T06:44:50.607109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 12
33.3%
134 2
 
5.6%
551 1
 
2.8%
172 1
 
2.8%
720 1
 
2.8%
170 1
 
2.8%
678 1
 
2.8%
519 1
 
2.8%
105 1
 
2.8%
445 1
 
2.8%
Other values (14) 14
38.9%
ValueCountFrequency (%)
0 12
33.3%
104 1
 
2.8%
105 1
 
2.8%
106 1
 
2.8%
108 1
 
2.8%
110 1
 
2.8%
115 1
 
2.8%
121 1
 
2.8%
127 1
 
2.8%
134 2
 
5.6%
ValueCountFrequency (%)
720 1
2.8%
678 1
2.8%
640 1
2.8%
618 1
2.8%
614 1
2.8%
605 1
2.8%
587 1
2.8%
559 1
2.8%
551 1
2.8%
519 1
2.8%

고등학교남자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct24
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean146.91667
Minimum0
Maximum466
Zeros12
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:44:50.726807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median68.5
Q3313.75
95-th percentile413.75
Maximum466
Range466
Interquartile range (IQR)313.75

Descriptive statistics

Standard deviation164.20569
Coefficient of variation (CV)1.1176791
Kurtosis-1.173522
Mean146.91667
Median Absolute Deviation (MAD)68.5
Skewness0.7464268
Sum5289
Variance26963.507
MonotonicityNot monotonic
2023-12-11T06:44:50.850565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 12
33.3%
63 2
 
5.6%
410 1
 
2.8%
78 1
 
2.8%
98 1
 
2.8%
466 1
 
2.8%
99 1
 
2.8%
425 1
 
2.8%
84 1
 
2.8%
307 1
 
2.8%
Other values (14) 14
38.9%
ValueCountFrequency (%)
0 12
33.3%
58 1
 
2.8%
60 1
 
2.8%
62 1
 
2.8%
63 2
 
5.6%
66 1
 
2.8%
71 1
 
2.8%
78 1
 
2.8%
84 1
 
2.8%
86 1
 
2.8%
ValueCountFrequency (%)
466 1
2.8%
425 1
2.8%
410 1
2.8%
400 1
2.8%
390 1
2.8%
380 1
2.8%
377 1
2.8%
362 1
2.8%
334 1
2.8%
307 1
2.8%

고등학교여자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct22
Distinct (%)61.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.277778
Minimum0
Maximum254
Zeros12
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:44:50.961264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median50
Q3199.5
95-th percentile235.75
Maximum254
Range254
Interquartile range (IQR)199.5

Descriptive statistics

Standard deviation94.763951
Coefficient of variation (CV)1.0614506
Kurtosis-1.3571458
Mean89.277778
Median Absolute Deviation (MAD)50
Skewness0.6325073
Sum3214
Variance8980.2063
MonotonicityNot monotonic
2023-12-11T06:44:51.081134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 12
33.3%
50 4
 
11.1%
230 1
 
2.8%
180 1
 
2.8%
74 1
 
2.8%
254 1
 
2.8%
71 1
 
2.8%
253 1
 
2.8%
212 1
 
2.8%
42 1
 
2.8%
Other values (12) 12
33.3%
ValueCountFrequency (%)
0 12
33.3%
38 1
 
2.8%
42 1
 
2.8%
44 1
 
2.8%
48 1
 
2.8%
49 1
 
2.8%
50 4
 
11.1%
52 1
 
2.8%
71 1
 
2.8%
74 1
 
2.8%
ValueCountFrequency (%)
254 1
2.8%
253 1
2.8%
230 1
2.8%
228 1
2.8%
224 1
2.8%
218 1
2.8%
217 1
2.8%
212 1
2.8%
207 1
2.8%
197 1
2.8%

Interactions

2023-12-11T06:44:45.897733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:23.737031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:25.203871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:26.678204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:28.229055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:29.497538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:30.785829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:32.078392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:33.604912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:35.026734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:36.485752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:38.214353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:39.675717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:41.213240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:42.641520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:44.222376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:45.995482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:23.870417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:25.300482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:26.776350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:28.319114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:29.560421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:30.851488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:32.156023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:33.703410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:35.126425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:36.600353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:38.313978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:39.756295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:41.295630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:42.740987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:44.303586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:46.092376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:23.976563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:25.408818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:26.853084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:28.403302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:29.626413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:30.931261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:32.233678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:33.811778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:35.221691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:36.711131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:38.410902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:39.857946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:41.411048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:42.859792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:44.399131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:46.189535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:24.082554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:25.493081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:27.077399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:28.489614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:29.691598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:30.998770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:32.306290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:33.897232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:35.329432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:36.809874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:38.495821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:39.934614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:41.535580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:42.963191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:44.495299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:46.284586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:24.175480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:25.602471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:27.167902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:28.577019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:29.765956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:31.073187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:32.389663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:33.993927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:35.420765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:36.893178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:38.596169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:40.011710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:41.628775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:43.062323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:44.582521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:46.371618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:24.247256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:25.701255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:27.262376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:28.652502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:29.828998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:31.157074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:32.463267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:34.088559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:35.523275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:36.979448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:38.688503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:40.089110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:41.706625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:43.141146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:44.662148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:46.454684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:24.334985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:25.792073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:27.347996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:28.752418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:29.915889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:31.259289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:32.553561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:34.178462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:35.629598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:37.071286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:38.784197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:40.182810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:41.789667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:43.235677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:44.772171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:46.524084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:24.416437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:25.869736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:27.421203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:28.819054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:29.992866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:31.342257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:32.625207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:34.257461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:35.725099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:37.153212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:38.866484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:40.254800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:41.866081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:43.315201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:44.865180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:46.594696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:24.498503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:25.945058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:27.494695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:28.888382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:30.059159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:31.412902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:32.695851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:34.332001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:35.800076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:37.229798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:38.944876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:40.331616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:41.956052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:43.396824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:45.115848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:46.684192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:24.578352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:26.032056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:27.593489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:28.986693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:30.136462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:31.484945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:32.777947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:34.424917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:35.889970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:37.546038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:39.027919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:40.438286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:42.058661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:43.498789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:45.212627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:46.773715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:24.684367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:26.136719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:27.682486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:29.084996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:30.386552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:31.556108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:32.855901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:34.526923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:35.976771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:37.641946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:39.106807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:40.543076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:42.154295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:43.622000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:45.334998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:46.853574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:24.765123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:26.236157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:27.793494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:29.160663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:30.469234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:31.650972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:32.950402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:34.621064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:36.068405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:37.762809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:39.214847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:40.643410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:42.242277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:43.740265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:45.438087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:46.931145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:24.851269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:26.314333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:27.869367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:29.234443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:30.537209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:31.737901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:33.035992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:34.701161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:36.148568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:37.861140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:39.299585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:40.723423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:42.316525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:43.837994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:45.539508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:47.022075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:24.938890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:26.393380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:27.958829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:29.303141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:30.600968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:31.815238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:33.118394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:34.781312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:36.227446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:37.952850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:39.400262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:40.807462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:42.393197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:43.935780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:45.625819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:47.104483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:25.027510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:26.477463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:28.055162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:29.375508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:30.667436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:31.898909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:33.220624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:34.863264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:36.310251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:38.054767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:39.506754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:40.897311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:42.477373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:44.028723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:45.717644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:47.172171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:25.105959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:26.574514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:28.128034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:29.435172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:30.725707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:31.984223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:33.338629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:34.943885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:36.384927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:38.141740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:39.594168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:41.140373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:42.563261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:44.141299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:45.803267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:44:51.182760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도학교유형명전체학생수(명)전체남자학생수(명)전체여자학생수(명)유치원전체학생수(명)유치원남자학생수(명)유치원여자학생수(명)초등학교전체학생수(명)초등학교남자학생수(명)초등학교여자학생수(명)중학교전체학생수(명)중학교남자학생수(명)중학교여자학생수(명)고등학교전체학생수(명)고등학교남자학생수(명)고등학교여자학생수(명)
기준년도1.0000.0000.0000.0000.0000.0000.0000.2260.0000.0000.0000.0000.0000.0000.0000.0000.000
학교유형명0.0001.0000.7610.7550.9600.8710.9860.7520.9140.6840.9140.9600.9600.8201.0001.0001.000
전체학생수(명)0.0000.7611.0000.9330.9680.6860.7190.6490.9070.9070.9060.9020.8370.8330.9370.8460.893
전체남자학생수(명)0.0000.7550.9331.0000.9340.8890.8200.8240.9020.8930.9110.8960.8800.8480.8960.9710.809
전체여자학생수(명)0.0000.9600.9680.9341.0000.6460.7440.6120.9730.8720.9680.9780.9580.8200.8040.8510.752
유치원전체학생수(명)0.0000.8710.6860.8890.6461.0000.9530.9560.4130.5000.5740.6340.6430.7430.8880.9560.799
유치원남자학생수(명)0.0000.9860.7190.8200.7440.9531.0000.8440.5030.5610.5900.6870.8120.8350.8800.8710.809
유치원여자학생수(명)0.2260.7520.6490.8240.6120.9560.8441.0000.5160.4980.2730.5800.5840.5950.7900.8930.717
초등학교전체학생수(명)0.0000.9140.9070.9020.9730.4130.5030.5161.0001.0000.9870.9550.9000.7350.7510.8080.679
초등학교남자학생수(명)0.0000.6840.9070.8930.8720.5000.5610.4981.0001.0000.9370.8680.7610.9220.7580.7820.699
초등학교여자학생수(명)0.0000.9140.9060.9110.9680.5740.5900.2730.9870.9371.0000.9860.9360.7940.7150.7740.683
중학교전체학생수(명)0.0000.9600.9020.8960.9780.6340.6870.5800.9550.8680.9861.0000.9910.8770.7240.7480.731
중학교남자학생수(명)0.0000.9600.8370.8800.9580.6430.8120.5840.9000.7610.9360.9911.0000.9090.7050.7290.746
중학교여자학생수(명)0.0000.8200.8330.8480.8200.7430.8350.5950.7350.9220.7940.8770.9091.0000.8200.8370.784
고등학교전체학생수(명)0.0001.0000.9370.8960.8040.8880.8800.7900.7510.7580.7150.7240.7050.8201.0000.9800.979
고등학교남자학생수(명)0.0001.0000.8460.9710.8510.9560.8710.8930.8080.7820.7740.7480.7290.8370.9801.0000.935
고등학교여자학생수(명)0.0001.0000.8930.8090.7520.7990.8090.7170.6790.6990.6830.7310.7460.7840.9790.9351.000
2023-12-11T06:44:51.568963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도전체학생수(명)전체남자학생수(명)전체여자학생수(명)유치원전체학생수(명)유치원남자학생수(명)유치원여자학생수(명)초등학교전체학생수(명)초등학교남자학생수(명)초등학교여자학생수(명)중학교전체학생수(명)중학교남자학생수(명)중학교여자학생수(명)고등학교전체학생수(명)고등학교남자학생수(명)고등학교여자학생수(명)학교유형명
기준년도1.0000.0630.0440.0670.0640.0700.0300.001-0.0030.0430.0650.0680.048-0.043-0.069-0.0300.000
전체학생수(명)0.0631.0000.9950.9980.8250.8420.7250.9640.9690.9480.9830.9800.9760.9740.9670.9630.651
전체남자학생수(명)0.0440.9951.0000.9900.8180.8370.7050.9660.9720.9490.9870.9830.9760.9750.9710.9640.605
전체여자학생수(명)0.0670.9980.9901.0000.8310.8460.7340.9640.9680.9510.9810.9770.9760.9710.9640.9620.720
유치원전체학생수(명)0.0640.8250.8180.8311.0000.9890.9330.8130.8110.7840.7840.7840.7630.7640.7550.7580.783
유치원남자학생수(명)0.0700.8420.8370.8460.9891.0000.9070.8340.8340.8030.8060.8080.7850.7800.7710.7760.775
유치원여자학생수(명)0.0300.7250.7050.7340.9330.9071.0000.6950.6940.6750.6740.6700.6550.6630.6460.6630.601
초등학교전체학생수(명)0.0010.9640.9660.9640.8130.8340.6951.0000.9960.9890.9560.9560.9480.9410.9510.9280.615
초등학교남자학생수(명)-0.0030.9690.9720.9680.8110.8340.6940.9961.0000.9780.9620.9610.9520.9480.9540.9390.640
초등학교여자학생수(명)0.0430.9480.9490.9510.7840.8030.6750.9890.9781.0000.9470.9460.9430.9260.9390.9080.615
중학교전체학생수(명)0.0650.9830.9870.9810.7840.8060.6740.9560.9620.9471.0000.9960.9860.9610.9630.9590.720
중학교남자학생수(명)0.0680.9800.9830.9770.7840.8080.6700.9560.9610.9460.9961.0000.9740.9550.9550.9570.720
중학교여자학생수(명)0.0480.9760.9760.9760.7630.7850.6550.9480.9520.9430.9860.9741.0000.9650.9740.9510.821
고등학교전체학생수(명)-0.0430.9740.9750.9710.7640.7800.6630.9410.9480.9260.9610.9550.9651.0000.9930.9860.937
고등학교남자학생수(명)-0.0690.9670.9710.9640.7550.7710.6460.9510.9540.9390.9630.9550.9740.9931.0000.9710.921
고등학교여자학생수(명)-0.0300.9630.9640.9620.7580.7760.6630.9280.9390.9080.9590.9570.9510.9860.9711.0000.937
학교유형명0.0000.6510.6050.7200.7830.7750.6010.6150.6400.6150.7200.7200.8210.9370.9210.9371.000

Missing values

2023-12-11T06:44:47.277654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:44:47.457288image/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

기준년도학교유형명전체학생수(명)전체남자학생수(명)전체여자학생수(명)유치원전체학생수(명)유치원남자학생수(명)유치원여자학생수(명)초등학교전체학생수(명)초등학교남자학생수(명)초등학교여자학생수(명)중학교전체학생수(명)중학교남자학생수(명)중학교여자학생수(명)고등학교전체학생수(명)고등학교남자학생수(명)고등학교여자학생수(명)
02023공립360424301174127963120701415655767509258640410230
12023국립000000000000000
22023사립326198128986236151059255371217150
32022공립324821611087103713218801277603706451255559362197
42022국립000000000000000
52022사립300184116835429181358454301156352
62021공립299619791017114734116411107534654419235587380207
72021국립000000000000000
82021사립291178113976235221666442221085850
92020공립29222626996126953115661049517612382230618400218
기준년도학교유형명전체학생수(명)전체남자학생수(명)전체여자학생수(명)유치원전체학생수(명)유치원남자학생수(명)유치원여자학생수(명)초등학교전체학생수(명)초등학교남자학생수(명)초등학교여자학생수(명)중학교전체학생수(명)중학교남자학생수(명)중학교여자학생수(명)고등학교전체학생수(명)고등학교남자학생수(명)고등학교여자학생수(명)
262015사립286183103754728322397450241056342
272014공립20761300776593821987634353511321190519307212
282014국립000000000000000
292014사립36722614112267553323107852261348450
302013공립22771440837463016983626357570359211678425253
312013국립000000000000000
322013사립48829319519311380342599156351709971
332012공립23161462854292181037652385530323207720466254
342012국립000000000000000
352012사립53133219924415787312658451331729874