Overview

Dataset statistics

Number of variables20
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.4 KiB
Average record size in memory182.7 B

Variable types

Numeric19
Categorical1

Dataset

Description성별 특수학급 학생수 집계현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=TWRH4BLYQU9MJBBI6D1X25054362&infSeq=1

Alerts

전체학생수(명) is highly overall correlated with 전체남자학생수(명) and 17 other fieldsHigh correlation
전체남자학생수(명) is highly overall correlated with 전체학생수(명) and 17 other fieldsHigh correlation
전체여자학생수(명) is highly overall correlated with 전체학생수(명) and 17 other fieldsHigh correlation
유치원전체학생수(명) is highly overall correlated with 전체학생수(명) and 17 other fieldsHigh correlation
유치원남자학생수(명) is highly overall correlated with 전체학생수(명) and 17 other fieldsHigh correlation
유치원여자학생수(명) is highly overall correlated with 전체학생수(명) and 17 other fieldsHigh correlation
초등학교전체학생수(명) is highly overall correlated with 전체학생수(명) and 17 other fieldsHigh correlation
초등학교남자학생수(명) is highly overall correlated with 전체학생수(명) and 17 other fieldsHigh correlation
초등학교여자학생수(명) is highly overall correlated with 전체학생수(명) and 17 other fieldsHigh correlation
중학교전체학생수(명) is highly overall correlated with 전체학생수(명) and 17 other fieldsHigh correlation
중학교남자학생수(명) is highly overall correlated with 전체학생수(명) and 17 other fieldsHigh correlation
중학교여자학생수(명) is highly overall correlated with 전체학생수(명) and 17 other fieldsHigh correlation
고등학교전체학생수(명) is highly overall correlated with 전체학생수(명) and 17 other fieldsHigh correlation
고등학교남자학생수(명) is highly overall correlated with 전체학생수(명) and 17 other fieldsHigh correlation
고등학교여자학생수(명) is highly overall correlated with 전체학생수(명) and 17 other fieldsHigh correlation
전공과전체학생수(명) is highly overall correlated with 전체학생수(명) and 16 other fieldsHigh correlation
전공과남자학생수(명) is highly overall correlated with 전체학생수(명) and 16 other fieldsHigh correlation
전공과여자학생수(명) is highly overall correlated with 전체학생수(명) and 16 other fieldsHigh correlation
학교유형명 is highly overall correlated with 전체학생수(명) and 14 other fieldsHigh correlation
전체학생수(명) has 11 (30.6%) zerosZeros
전체남자학생수(명) has 11 (30.6%) zerosZeros
전체여자학생수(명) has 11 (30.6%) zerosZeros
유치원전체학생수(명) has 11 (30.6%) zerosZeros
유치원남자학생수(명) has 11 (30.6%) zerosZeros
유치원여자학생수(명) has 11 (30.6%) zerosZeros
초등학교전체학생수(명) has 11 (30.6%) zerosZeros
초등학교남자학생수(명) has 11 (30.6%) zerosZeros
초등학교여자학생수(명) has 11 (30.6%) zerosZeros
중학교전체학생수(명) has 11 (30.6%) zerosZeros
중학교남자학생수(명) has 11 (30.6%) zerosZeros
중학교여자학생수(명) has 11 (30.6%) zerosZeros
고등학교전체학생수(명) has 11 (30.6%) zerosZeros
고등학교남자학생수(명) has 11 (30.6%) zerosZeros
고등학교여자학생수(명) has 11 (30.6%) zerosZeros
전공과전체학생수(명) has 22 (61.1%) zerosZeros
전공과남자학생수(명) has 22 (61.1%) zerosZeros
전공과여자학생수(명) has 22 (61.1%) zerosZeros

Reproduction

Analysis started2023-12-10 21:00:05.143374
Analysis finished2023-12-10 21:00:44.526689
Duration39.38 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
2023-12-11T06:00:44.591492image/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
2023-12-11T06:00:44.703629image/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

2023-12-11T06:00:44.823475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:00:44.935768image/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 

Distinct26
Distinct (%)72.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5122.75
Minimum0
Maximum19256
Zeros11
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:00:45.251109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median290
Q312236
95-th percentile16236.75
Maximum19256
Range19256
Interquartile range (IQR)12236

Descriptive statistics

Standard deviation6807.8845
Coefficient of variation (CV)1.3289512
Kurtosis-1.2641447
Mean5122.75
Median Absolute Deviation (MAD)290
Skewness0.74957279
Sum184419
Variance46347292
MonotonicityNot monotonic
2023-12-11T06:00:45.365603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 11
30.6%
17238 1
 
2.8%
12527 1
 
2.8%
210 1
 
2.8%
11385 1
 
2.8%
272 1
 
2.8%
11650 1
 
2.8%
279 1
 
2.8%
11932 1
 
2.8%
313 1
 
2.8%
Other values (16) 16
44.4%
ValueCountFrequency (%)
0 11
30.6%
210 1
 
2.8%
272 1
 
2.8%
276 1
 
2.8%
279 1
 
2.8%
285 1
 
2.8%
287 1
 
2.8%
289 1
 
2.8%
291 1
 
2.8%
292 1
 
2.8%
ValueCountFrequency (%)
19256 1
2.8%
17238 1
2.8%
15903 1
2.8%
14560 1
2.8%
14213 1
2.8%
14088 1
2.8%
12898 1
2.8%
12527 1
2.8%
12290 1
2.8%
12218 1
2.8%

전체남자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct24
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3528.0556
Minimum0
Maximum14402
Zeros11
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:00:45.461137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median161.5
Q38142
95-th percentile11318
Maximum14402
Range14402
Interquartile range (IQR)8142

Descriptive statistics

Standard deviation4760.3809
Coefficient of variation (CV)1.3492931
Kurtosis-0.99529053
Mean3528.0556
Median Absolute Deviation (MAD)161.5
Skewness0.82662657
Sum127010
Variance22661226
MonotonicityNot monotonic
2023-12-11T06:00:45.556403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 11
30.6%
156 2
 
5.6%
148 2
 
5.6%
12020 1
 
2.8%
163 1
 
2.8%
126 1
 
2.8%
7485 1
 
2.8%
7650 1
 
2.8%
7870 1
 
2.8%
178 1
 
2.8%
Other values (14) 14
38.9%
ValueCountFrequency (%)
0 11
30.6%
126 1
 
2.8%
148 2
 
5.6%
156 2
 
5.6%
160 1
 
2.8%
161 1
 
2.8%
162 1
 
2.8%
163 1
 
2.8%
173 1
 
2.8%
178 1
 
2.8%
ValueCountFrequency (%)
14402 1
2.8%
12020 1
2.8%
11084 1
2.8%
10655 1
2.8%
10013 1
2.8%
9603 1
2.8%
8804 1
2.8%
8445 1
2.8%
8283 1
2.8%
8095 1
2.8%

전체여자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct25
Distinct (%)69.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1594.6944
Minimum0
Maximum5218
Zeros11
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:00:45.682462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median128.5
Q34020.75
95-th percentile4827.75
Maximum5218
Range5218
Interquartile range (IQR)4020.75

Descriptive statistics

Standard deviation2072.6823
Coefficient of variation (CV)1.2997363
Kurtosis-1.5658613
Mean1594.6944
Median Absolute Deviation (MAD)128.5
Skewness0.65822336
Sum57409
Variance4296012
MonotonicityNot monotonic
2023-12-11T06:00:45.793699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 11
30.6%
124 2
 
5.6%
5218 1
 
2.8%
129 1
 
2.8%
84 1
 
2.8%
3900 1
 
2.8%
116 1
 
2.8%
4000 1
 
2.8%
123 1
 
2.8%
4062 1
 
2.8%
Other values (15) 15
41.7%
ValueCountFrequency (%)
0 11
30.6%
84 1
 
2.8%
116 1
 
2.8%
123 1
 
2.8%
124 2
 
5.6%
127 1
 
2.8%
128 1
 
2.8%
129 1
 
2.8%
131 1
 
2.8%
135 1
 
2.8%
ValueCountFrequency (%)
5218 1
2.8%
4854 1
2.8%
4819 1
2.8%
4547 1
2.8%
4485 1
2.8%
4123 1
2.8%
4094 1
2.8%
4082 1
2.8%
4062 1
2.8%
4007 1
2.8%

유치원전체학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct20
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean332.72222
Minimum0
Maximum1777
Zeros11
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:00:45.900035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10
Q3523
95-th percentile1631.25
Maximum1777
Range1777
Interquartile range (IQR)523

Descriptive statistics

Standard deviation537.42506
Coefficient of variation (CV)1.6152364
Kurtosis1.6777454
Mean332.72222
Median Absolute Deviation (MAD)10
Skewness1.6446573
Sum11978
Variance288825.69
MonotonicityNot monotonic
2023-12-11T06:00:46.011695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 11
30.6%
10 4
 
11.1%
9 2
 
5.6%
4 2
 
5.6%
7 2
 
5.6%
1704 1
 
2.8%
295 1
 
2.8%
376 1
 
2.8%
504 1
 
2.8%
11 1
 
2.8%
Other values (10) 10
27.8%
ValueCountFrequency (%)
0 11
30.6%
4 2
 
5.6%
7 2
 
5.6%
9 2
 
5.6%
10 4
 
11.1%
11 1
 
2.8%
54 1
 
2.8%
295 1
 
2.8%
376 1
 
2.8%
453 1
 
2.8%
ValueCountFrequency (%)
1777 1
2.8%
1704 1
2.8%
1607 1
2.8%
1370 1
2.8%
954 1
2.8%
773 1
2.8%
746 1
2.8%
694 1
2.8%
580 1
2.8%
504 1
2.8%

유치원남자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct21
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean245.69444
Minimum0
Maximum1447
Zeros11
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:00:46.122168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6.5
Q3361
95-th percentile1222
Maximum1447
Range1447
Interquartile range (IQR)361

Descriptive statistics

Standard deviation406.72208
Coefficient of variation (CV)1.6553979
Kurtosis2.2651475
Mean245.69444
Median Absolute Deviation (MAD)6.5
Skewness1.7712
Sum8845
Variance165422.85
MonotonicityNot monotonic
2023-12-11T06:00:46.233018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 11
30.6%
6 3
 
8.3%
2 2
 
5.6%
5 2
 
5.6%
9 2
 
5.6%
1267 1
 
2.8%
7 1
 
2.8%
201 1
 
2.8%
268 1
 
2.8%
8 1
 
2.8%
Other values (11) 11
30.6%
ValueCountFrequency (%)
0 11
30.6%
2 2
 
5.6%
5 2
 
5.6%
6 3
 
8.3%
7 1
 
2.8%
8 1
 
2.8%
9 2
 
5.6%
38 1
 
2.8%
201 1
 
2.8%
268 1
 
2.8%
ValueCountFrequency (%)
1447 1
2.8%
1267 1
2.8%
1207 1
2.8%
990 1
2.8%
689 1
2.8%
554 1
2.8%
548 1
2.8%
486 1
2.8%
400 1
2.8%
348 1
2.8%

유치원여자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct20
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.027778
Minimum0
Maximum437
Zeros11
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:00:46.366937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q3162
95-th percentile385
Maximum437
Range437
Interquartile range (IQR)162

Descriptive statistics

Standard deviation133.48226
Coefficient of variation (CV)1.5337891
Kurtosis0.83489548
Mean87.027778
Median Absolute Deviation (MAD)2
Skewness1.4129265
Sum3133
Variance17817.513
MonotonicityNot monotonic
2023-12-11T06:00:46.505963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 11
30.6%
2 6
16.7%
1 2
 
5.6%
437 1
 
2.8%
225 1
 
2.8%
3 1
 
2.8%
94 1
 
2.8%
4 1
 
2.8%
108 1
 
2.8%
156 1
 
2.8%
Other values (10) 10
27.8%
ValueCountFrequency (%)
0 11
30.6%
1 2
 
5.6%
2 6
16.7%
3 1
 
2.8%
4 1
 
2.8%
5 1
 
2.8%
16 1
 
2.8%
94 1
 
2.8%
108 1
 
2.8%
116 1
 
2.8%
ValueCountFrequency (%)
437 1
2.8%
400 1
2.8%
380 1
2.8%
330 1
2.8%
265 1
2.8%
225 1
2.8%
208 1
2.8%
192 1
2.8%
180 1
2.8%
156 1
2.8%

초등학교전체학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct18
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2224.7222
Minimum0
Maximum9121
Zeros11
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:00:46.628815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median18
Q35200.25
95-th percentile7681.5
Maximum9121
Range9121
Interquartile range (IQR)5200.25

Descriptive statistics

Standard deviation3088.6021
Coefficient of variation (CV)1.3883091
Kurtosis-0.87030503
Mean2224.7222
Median Absolute Deviation (MAD)18
Skewness0.87014601
Sum80090
Variance9539462.9
MonotonicityNot monotonic
2023-12-11T06:00:46.739495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 11
30.6%
18 7
19.4%
16 3
 
8.3%
9121 1
 
2.8%
6007 1
 
2.8%
5278 1
 
2.8%
5188 1
 
2.8%
5094 1
 
2.8%
5213 1
 
2.8%
5196 1
 
2.8%
Other values (8) 8
22.2%
ValueCountFrequency (%)
0 11
30.6%
16 3
 
8.3%
18 7
19.4%
22 1
 
2.8%
330 1
 
2.8%
4417 1
 
2.8%
5094 1
 
2.8%
5188 1
 
2.8%
5196 1
 
2.8%
5213 1
 
2.8%
ValueCountFrequency (%)
9121 1
2.8%
8412 1
2.8%
7438 1
2.8%
7150 1
2.8%
6007 1
2.8%
5578 1
2.8%
5472 1
2.8%
5278 1
2.8%
5213 1
2.8%
5196 1
2.8%

초등학교남자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct21
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1549.3889
Minimum0
Maximum6460
Zeros11
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:00:46.865841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median13
Q33480
95-th percentile5402.5
Maximum6460
Range6460
Interquartile range (IQR)3480

Descriptive statistics

Standard deviation2158.9591
Coefficient of variation (CV)1.3934262
Kurtosis-0.77240274
Mean1549.3889
Median Absolute Deviation (MAD)13
Skewness0.89861919
Sum55778
Variance4661104.5
MonotonicityNot monotonic
2023-12-11T06:00:46.989680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 11
30.6%
13 5
13.9%
11 2
 
5.6%
3810 1
 
2.8%
15 1
 
2.8%
3492 1
 
2.8%
3397 1
 
2.8%
3357 1
 
2.8%
12 1
 
2.8%
3476 1
 
2.8%
Other values (11) 11
30.6%
ValueCountFrequency (%)
0 11
30.6%
10 1
 
2.8%
11 2
 
5.6%
12 1
 
2.8%
13 5
13.9%
15 1
 
2.8%
16 1
 
2.8%
246 1
 
2.8%
3353 1
 
2.8%
3357 1
 
2.8%
ValueCountFrequency (%)
6460 1
2.8%
5950 1
2.8%
5220 1
2.8%
4983 1
2.8%
4212 1
2.8%
4152 1
2.8%
3810 1
2.8%
3530 1
2.8%
3492 1
2.8%
3476 1
2.8%

초등학교여자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct18
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean675.33333
Minimum0
Maximum2661
Zeros11
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:00:47.112071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q31737
95-th percentile2279
Maximum2661
Range2661
Interquartile range (IQR)1737

Descriptive statistics

Standard deviation937.71994
Coefficient of variation (CV)1.388529
Kurtosis-1.0491443
Mean675.33333
Median Absolute Deviation (MAD)6
Skewness0.83560242
Sum24312
Variance879318.69
MonotonicityNot monotonic
2023-12-11T06:00:47.231939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 11
30.6%
6 3
 
8.3%
5 3
 
8.3%
3 3
 
8.3%
7 2
 
5.6%
1737 2
 
5.6%
2661 1
 
2.8%
1786 1
 
2.8%
1791 1
 
2.8%
1666 1
 
2.8%
Other values (8) 8
22.2%
ValueCountFrequency (%)
0 11
30.6%
3 3
 
8.3%
5 3
 
8.3%
6 3
 
8.3%
7 2
 
5.6%
84 1
 
2.8%
1064 1
 
2.8%
1320 1
 
2.8%
1666 1
 
2.8%
1737 2
 
5.6%
ValueCountFrequency (%)
2661 1
2.8%
2462 1
2.8%
2218 1
2.8%
2167 1
2.8%
1795 1
2.8%
1791 1
2.8%
1786 1
2.8%
1768 1
2.8%
1737 2
5.6%
1666 1
2.8%

중학교전체학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct26
Distinct (%)72.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1127.6389
Minimum0
Maximum3967
Zeros11
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:00:47.353135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median123.5
Q32775.75
95-th percentile3182.5
Maximum3967
Range3967
Interquartile range (IQR)2775.75

Descriptive statistics

Standard deviation1447.1379
Coefficient of variation (CV)1.2833346
Kurtosis-1.4937233
Mean1127.6389
Median Absolute Deviation (MAD)123.5
Skewness0.67442891
Sum40595
Variance2094208.2
MonotonicityNot monotonic
2023-12-11T06:00:47.508623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 11
30.6%
3379 1
 
2.8%
2697 1
 
2.8%
111 1
 
2.8%
3053 1
 
2.8%
123 1
 
2.8%
3117 1
 
2.8%
120 1
 
2.8%
3100 1
 
2.8%
119 1
 
2.8%
Other values (16) 16
44.4%
ValueCountFrequency (%)
0 11
30.6%
109 1
 
2.8%
111 1
 
2.8%
113 1
 
2.8%
118 1
 
2.8%
119 1
 
2.8%
120 1
 
2.8%
123 1
 
2.8%
124 1
 
2.8%
125 1
 
2.8%
ValueCountFrequency (%)
3967 1
2.8%
3379 1
2.8%
3117 1
2.8%
3100 1
2.8%
3053 1
2.8%
2984 1
2.8%
2946 1
2.8%
2895 1
2.8%
2829 1
2.8%
2758 1
2.8%

중학교남자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct23
Distinct (%)63.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean765.77778
Minimum0
Maximum2974
Zeros11
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:00:47.643673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median70.5
Q31869
95-th percentile2210.25
Maximum2974
Range2974
Interquartile range (IQR)1869

Descriptive statistics

Standard deviation998.16309
Coefficient of variation (CV)1.3034631
Kurtosis-1.2666345
Mean765.77778
Median Absolute Deviation (MAD)70.5
Skewness0.73695956
Sum27568
Variance996329.55
MonotonicityNot monotonic
2023-12-11T06:00:47.758595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 11
30.6%
67 2
 
5.6%
74 2
 
5.6%
64 2
 
5.6%
2280 1
 
2.8%
65 1
 
2.8%
2003 1
 
2.8%
2094 1
 
2.8%
69 1
 
2.8%
2081 1
 
2.8%
Other values (13) 13
36.1%
ValueCountFrequency (%)
0 11
30.6%
58 1
 
2.8%
64 2
 
5.6%
65 1
 
2.8%
67 2
 
5.6%
69 1
 
2.8%
72 1
 
2.8%
74 2
 
5.6%
83 1
 
2.8%
158 1
 
2.8%
ValueCountFrequency (%)
2974 1
2.8%
2280 1
2.8%
2187 1
2.8%
2094 1
2.8%
2081 1
2.8%
2042 1
2.8%
2003 1
2.8%
1960 1
2.8%
1899 1
2.8%
1859 1
2.8%

중학교여자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct20
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean361.86111
Minimum0
Maximum1099
Zeros11
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:00:47.875658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median51
Q3922.5
95-th percentile1029.75
Maximum1099
Range1099
Interquartile range (IQR)922.5

Descriptive statistics

Standard deviation455.77075
Coefficient of variation (CV)1.2595185
Kurtosis-1.607397
Mean361.86111
Median Absolute Deviation (MAD)51
Skewness0.64487143
Sum13027
Variance207726.98
MonotonicityNot monotonic
2023-12-11T06:00:48.025718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 11
30.6%
51 4
 
11.1%
942 2
 
5.6%
49 2
 
5.6%
60 2
 
5.6%
1099 1
 
2.8%
970 1
 
2.8%
46 1
 
2.8%
1050 1
 
2.8%
1023 1
 
2.8%
Other values (10) 10
27.8%
ValueCountFrequency (%)
0 11
30.6%
46 1
 
2.8%
49 2
 
5.6%
50 1
 
2.8%
51 4
 
11.1%
52 1
 
2.8%
53 1
 
2.8%
60 2
 
5.6%
708 1
 
2.8%
859 1
 
2.8%
ValueCountFrequency (%)
1099 1
2.8%
1050 1
2.8%
1023 1
2.8%
1019 1
2.8%
993 1
2.8%
986 1
2.8%
970 1
2.8%
942 2
5.6%
916 1
2.8%
897 1
2.8%

고등학교전체학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct26
Distinct (%)72.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1225.6389
Minimum0
Maximum5129
Zeros11
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:00:48.192204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median141
Q32902.25
95-th percentile3484.25
Maximum5129
Range5129
Interquartile range (IQR)2902.25

Descriptive statistics

Standard deviation1594.5801
Coefficient of variation (CV)1.3010195
Kurtosis-0.94470007
Mean1225.6389
Median Absolute Deviation (MAD)141
Skewness0.81387521
Sum44123
Variance2542685.7
MonotonicityNot monotonic
2023-12-11T06:00:48.451619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 11
30.6%
2906 1
 
2.8%
3326 1
 
2.8%
72 1
 
2.8%
2739 1
 
2.8%
123 1
 
2.8%
2942 1
 
2.8%
131 1
 
2.8%
3169 1
 
2.8%
165 1
 
2.8%
Other values (16) 16
44.4%
ValueCountFrequency (%)
0 11
30.6%
72 1
 
2.8%
123 1
 
2.8%
128 1
 
2.8%
131 1
 
2.8%
135 1
 
2.8%
138 1
 
2.8%
140 1
 
2.8%
142 1
 
2.8%
147 1
 
2.8%
ValueCountFrequency (%)
5129 1
2.8%
3689 1
2.8%
3416 1
2.8%
3356 1
2.8%
3326 1
2.8%
3176 1
2.8%
3169 1
2.8%
2942 1
2.8%
2906 1
2.8%
2901 1
2.8%

고등학교남자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct25
Distinct (%)69.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean819.30556
Minimum0
Maximum3817
Zeros11
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:00:48.635849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median72.5
Q31865.75
95-th percentile2413
Maximum3817
Range3817
Interquartile range (IQR)1865.75

Descriptive statistics

Standard deviation1097.7934
Coefficient of variation (CV)1.3399072
Kurtosis-0.30987278
Mean819.30556
Median Absolute Deviation (MAD)72.5
Skewness0.96650296
Sum29495
Variance1205150.4
MonotonicityNot monotonic
2023-12-11T06:00:48.817766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 11
30.6%
66 2
 
5.6%
1931 1
 
2.8%
2229 1
 
2.8%
40 1
 
2.8%
1784 1
 
2.8%
63 1
 
2.8%
1880 1
 
2.8%
2045 1
 
2.8%
90 1
 
2.8%
Other values (15) 15
41.7%
ValueCountFrequency (%)
0 11
30.6%
40 1
 
2.8%
63 1
 
2.8%
66 2
 
5.6%
68 1
 
2.8%
70 1
 
2.8%
72 1
 
2.8%
73 1
 
2.8%
78 1
 
2.8%
83 1
 
2.8%
ValueCountFrequency (%)
3817 1
2.8%
2740 1
2.8%
2304 1
2.8%
2229 1
2.8%
2179 1
2.8%
2105 1
2.8%
2045 1
2.8%
1931 1
2.8%
1880 1
2.8%
1861 1
2.8%

고등학교여자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct25
Distinct (%)69.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean406.33333
Minimum0
Maximum1312
Zeros11
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:00:49.002399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median69
Q3987
95-th percentile1137.25
Maximum1312
Range1312
Interquartile range (IQR)987

Descriptive statistics

Standard deviation506.53664
Coefficient of variation (CV)1.2466037
Kurtosis-1.5844213
Mean406.33333
Median Absolute Deviation (MAD)69
Skewness0.64394307
Sum14628
Variance256579.37
MonotonicityNot monotonic
2023-12-11T06:00:49.179252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 11
30.6%
69 2
 
5.6%
975 1
 
2.8%
1097 1
 
2.8%
32 1
 
2.8%
955 1
 
2.8%
60 1
 
2.8%
1062 1
 
2.8%
65 1
 
2.8%
1124 1
 
2.8%
Other values (15) 15
41.7%
ValueCountFrequency (%)
0 11
30.6%
32 1
 
2.8%
58 1
 
2.8%
60 1
 
2.8%
65 1
 
2.8%
66 1
 
2.8%
67 1
 
2.8%
69 2
 
5.6%
73 1
 
2.8%
74 1
 
2.8%
ValueCountFrequency (%)
1312 1
2.8%
1177 1
2.8%
1124 1
2.8%
1112 1
2.8%
1097 1
2.8%
1071 1
2.8%
1062 1
2.8%
1040 1
2.8%
1023 1
2.8%
975 1
2.8%

전공과전체학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct15
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean228.69444
Minimum0
Maximum4235
Zeros22
Zeros (%)61.1%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:00:49.345431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3130.25
95-th percentile831
Maximum4235
Range4235
Interquartile range (IQR)130.25

Descriptive statistics

Standard deviation799.68529
Coefficient of variation (CV)3.4967412
Kurtosis20.175076
Mean228.69444
Median Absolute Deviation (MAD)0
Skewness4.44923
Sum8233
Variance639496.56
MonotonicityNot monotonic
2023-12-11T06:00:49.487208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 22
61.1%
128 1
 
2.8%
137 1
 
2.8%
149 1
 
2.8%
147 1
 
2.8%
4235 1
 
2.8%
286 1
 
2.8%
2466 1
 
2.8%
142 1
 
2.8%
153 1
 
2.8%
Other values (5) 5
 
13.9%
ValueCountFrequency (%)
0 22
61.1%
20 1
 
2.8%
27 1
 
2.8%
65 1
 
2.8%
123 1
 
2.8%
128 1
 
2.8%
137 1
 
2.8%
142 1
 
2.8%
147 1
 
2.8%
149 1
 
2.8%
ValueCountFrequency (%)
4235 1
2.8%
2466 1
2.8%
286 1
2.8%
155 1
2.8%
153 1
2.8%
149 1
2.8%
147 1
2.8%
142 1
2.8%
137 1
2.8%
128 1
2.8%

전공과남자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct14
Distinct (%)38.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean164.55556
Minimum0
Maximum3122
Zeros22
Zeros (%)61.1%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:00:49.642774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q380.5
95-th percentile617.25
Maximum3122
Range3122
Interquartile range (IQR)80.5

Descriptive statistics

Standard deviation590.4129
Coefficient of variation (CV)3.5879245
Kurtosis20.185434
Mean164.55556
Median Absolute Deviation (MAD)0
Skewness4.4539298
Sum5924
Variance348587.4
MonotonicityNot monotonic
2023-12-11T06:00:49.786205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 22
61.1%
82 2
 
5.6%
68 1
 
2.8%
96 1
 
2.8%
3122 1
 
2.8%
216 1
 
2.8%
1821 1
 
2.8%
95 1
 
2.8%
103 1
 
2.8%
104 1
 
2.8%
Other values (4) 4
 
11.1%
ValueCountFrequency (%)
0 22
61.1%
5 1
 
2.8%
11 1
 
2.8%
39 1
 
2.8%
68 1
 
2.8%
80 1
 
2.8%
82 2
 
5.6%
95 1
 
2.8%
96 1
 
2.8%
103 1
 
2.8%
ValueCountFrequency (%)
3122 1
2.8%
1821 1
2.8%
216 1
2.8%
104 1
2.8%
103 1
2.8%
96 1
2.8%
95 1
2.8%
82 2
5.6%
80 1
2.8%
68 1
2.8%

전공과여자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct14
Distinct (%)38.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.138889
Minimum0
Maximum1113
Zeros22
Zeros (%)61.1%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:00:49.919204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q346.25
95-th percentile213.75
Maximum1113
Range1113
Interquartile range (IQR)46.25

Descriptive statistics

Standard deviation209.48101
Coefficient of variation (CV)3.266053
Kurtosis20.054099
Mean64.138889
Median Absolute Deviation (MAD)0
Skewness4.4221397
Sum2309
Variance43882.294
MonotonicityNot monotonic
2023-12-11T06:00:50.069570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 22
61.1%
51 2
 
5.6%
46 1
 
2.8%
69 1
 
2.8%
67 1
 
2.8%
1113 1
 
2.8%
70 1
 
2.8%
645 1
 
2.8%
47 1
 
2.8%
50 1
 
2.8%
Other values (4) 4
 
11.1%
ValueCountFrequency (%)
0 22
61.1%
15 1
 
2.8%
16 1
 
2.8%
26 1
 
2.8%
43 1
 
2.8%
46 1
 
2.8%
47 1
 
2.8%
50 1
 
2.8%
51 2
 
5.6%
67 1
 
2.8%
ValueCountFrequency (%)
1113 1
2.8%
645 1
2.8%
70 1
2.8%
69 1
2.8%
67 1
2.8%
51 2
5.6%
50 1
2.8%
47 1
2.8%
46 1
2.8%
43 1
2.8%

Interactions

2023-12-11T06:00:41.797762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:05.840518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:07.537699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:09.911159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:11.724950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:13.392659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:15.911044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:18.004547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:20.268536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:22.287530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:24.236518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:25.986533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:27.876725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:29.954929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:31.776928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:33.484703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:34.869556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:37.074031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:39.653485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:41.915865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:05.937370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:07.625160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:10.028314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:11.807353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:13.764198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:16.023345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:18.115964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:20.366415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:22.414311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:24.325206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:26.062659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:28.000802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:30.042710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:31.861396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:33.552148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:34.941172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:37.187337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:39.750390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:42.039221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:06.070178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:07.731796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:10.139858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:11.913342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:13.884885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:16.148197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:18.219079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:20.476754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:22.510035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:24.423084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:26.161006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:28.094572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:30.158609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:31.993072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:33.625994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:35.035023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:37.337413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:39.860266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:42.154240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:06.166951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:07.838086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:10.253510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:11.994254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:14.010313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:16.269898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:18.328857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:20.593239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:22.598432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:24.518162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:26.249587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:28.213762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:30.283451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:32.109465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:33.699735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:35.138911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:37.477494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:39.969756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:42.259300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:06.273364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:07.953209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:10.346763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:12.073959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:14.125773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:16.381097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:18.435452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:20.692293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:22.675317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:24.629763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:26.531066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:28.348095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:30.383741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:32.181800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:33.764794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:35.253813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:37.594136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:40.078763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:42.354555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:06.359570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:08.308146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:10.448543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:12.158803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:14.251776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:16.507281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:18.588713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:20.816294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:22.765469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:24.726033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:26.619010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:28.478744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:30.488459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:32.493026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:33.837248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:35.366073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:37.726661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:40.216031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:42.587357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:06.448778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:08.459475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:10.540649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:12.246821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:14.352576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:16.641356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:18.716919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:20.937606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:22.863944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:24.817933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:26.701147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:28.580552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:30.585657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:32.572199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:33.907994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:35.502121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:38.160430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:40.341295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:42.763784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:06.520842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:08.593060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:10.637072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:12.319900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:14.453273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:16.728534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:18.804224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:21.060675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:22.938084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:24.934763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:26.777062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:28.669138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:30.664775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:32.640384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:33.974809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:35.624317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:38.271328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:40.448997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:42.873237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:06.595014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:08.679482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:10.716321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:12.399183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:14.559424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:16.810359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:18.882733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:21.154155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:23.019674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:25.024191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:26.855938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:28.773263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:30.765201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:32.704218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:34.039361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:35.712253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:38.379367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:40.558096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:42.995167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:06.679548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:08.794478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:10.798983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:12.486200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:14.694538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:16.914654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:18.992009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:21.257948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:23.136000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:25.122824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:26.940150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:28.872444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:30.875369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:32.777879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:34.111310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:35.822959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:38.500553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:40.683183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:43.105176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:06.756812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:08.885864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:10.895824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:12.583080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:14.798365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:17.000935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:19.114994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:21.355253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:23.221491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:25.213938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:27.027054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:28.969893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:30.992519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:32.848146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:34.182279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:35.926031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:38.614951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:40.796151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:43.232794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:06.851685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:09.001259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:11.007255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:12.674256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:14.910252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:17.100437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:19.234164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:21.471220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:23.337285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:25.315108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:27.136351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:29.090195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:31.095725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:32.937501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:34.273685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:36.080937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:38.742703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:40.915205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:43.324988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:06.938226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:09.114471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:11.090819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:12.753767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:15.019712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:17.197724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:19.340917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:21.573284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:23.442446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:25.398192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:27.219532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:29.182791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:31.179745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:33.002818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:34.346565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:36.225313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:38.875513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:41.042537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:43.410792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:07.014699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:09.238084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:11.176064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:12.829791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:15.130421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:17.303419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:19.441364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:21.677740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:23.564339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:25.471026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:27.310304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:29.292691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:31.254498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:33.068897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:34.416060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:36.342698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:38.971534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:41.160970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:43.530216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:07.089698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:09.352086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:11.261295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:12.927675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:15.247221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:17.428967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:19.530660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:21.770152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:23.687350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:25.550029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:27.391215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:29.397714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:31.328890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:33.132622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:34.484161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:36.461164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:39.076899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:41.305616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:43.666504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:07.180244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:09.505285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:11.360135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:13.027330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:15.404122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:17.561246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:19.640578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:21.866033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:23.833205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:25.650861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:27.473786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:29.514217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:31.429226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:33.213881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:34.562514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:36.601016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:39.216123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:41.402705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:43.809728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:07.278463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:09.604659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:11.467879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:13.125252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:15.559298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:17.659254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:19.730122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:21.960846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:23.947944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:25.732064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:27.553381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:29.625622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:31.513154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:33.295595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:34.640996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:36.710715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:39.341027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:41.491560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:43.893712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:07.376127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:09.688732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:11.549855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:13.216008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:15.662117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:17.788503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:19.817817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:22.061231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:24.034134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:25.821836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:27.664312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:29.717595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:31.593462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:33.359210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:34.711025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:36.820020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:39.444563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:41.594153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:44.013974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:07.462840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:09.780808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:11.647006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:13.314509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:15.795165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:17.896734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:19.917884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:22.188391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:24.147939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:25.916775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:27.764227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:29.844850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:31.691155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:33.424565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:34.792843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:36.955917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:39.551146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:41.702865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:00:50.217097image/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)전공과전체학생수(명)전공과남자학생수(명)전공과여자학생수(명)
기준년도1.0000.0000.0000.0000.0000.1140.2490.3230.1140.0000.0000.0000.0000.0000.0000.0000.0000.3990.3990.399
학교유형명0.0001.0000.8970.9040.6980.7070.6950.8460.7290.8880.9230.6510.6620.6980.6980.9230.6170.0990.0990.099
전체학생수(명)0.0000.8971.0000.9780.9000.9020.8920.9150.8680.9690.9930.8620.8150.7480.8920.9551.0000.9660.9660.966
전체남자학생수(명)0.0000.9040.9781.0000.8900.8260.8660.8960.8600.9680.9910.9580.8370.7840.8660.9550.9760.9820.9820.982
전체여자학생수(명)0.0000.6980.9000.8901.0000.8530.8930.9080.9500.8771.0000.9430.9210.9740.9800.8540.8120.7730.7730.773
유치원전체학생수(명)0.1140.7070.9020.8260.8531.0000.9870.9490.9190.9140.8640.7900.8160.9180.8450.8180.9730.6320.6320.632
유치원남자학생수(명)0.2490.6950.8920.8660.8930.9871.0000.9680.9520.9830.9070.8340.7900.8800.8330.8090.9550.5190.5190.519
유치원여자학생수(명)0.3230.8460.9150.8960.9080.9490.9681.0000.9600.9960.9360.8800.8550.9190.8490.8380.8420.6230.6230.623
초등학교전체학생수(명)0.1140.7290.8680.8600.9500.9190.9520.9601.0000.9450.9400.8360.8340.9260.8570.8110.8170.7610.7610.761
초등학교남자학생수(명)0.0000.8880.9690.9680.8770.9140.9830.9960.9451.0000.9820.8400.7440.7940.7620.8820.8900.7560.7560.756
초등학교여자학생수(명)0.0000.9230.9930.9911.0000.8640.9070.9360.9400.9821.0000.8860.8460.8570.9420.9790.9931.0001.0001.000
중학교전체학생수(명)0.0000.6510.8620.9580.9430.7900.8340.8800.8360.8400.8861.0000.9790.9060.9520.8110.8390.7200.7200.720
중학교남자학생수(명)0.0000.6620.8150.8370.9210.8160.7900.8550.8340.7440.8460.9791.0000.9210.9760.8540.8570.7730.7730.773
중학교여자학생수(명)0.0000.6980.7480.7840.9740.9180.8800.9190.9260.7940.8570.9060.9211.0000.9650.8200.6850.7370.7370.737
고등학교전체학생수(명)0.0000.6980.8920.8660.9800.8450.8330.8490.8570.7620.9420.9520.9760.9651.0000.9610.9301.0001.0001.000
고등학교남자학생수(명)0.0000.9230.9550.9550.8540.8180.8090.8380.8110.8820.9790.8110.8540.8200.9611.0000.9731.0001.0001.000
고등학교여자학생수(명)0.0000.6171.0000.9760.8120.9730.9550.8420.8170.8900.9930.8390.8570.6850.9300.9731.0000.6940.6940.694
전공과전체학생수(명)0.3990.0990.9660.9820.7730.6320.5190.6230.7610.7561.0000.7200.7730.7371.0001.0000.6941.0001.0001.000
전공과남자학생수(명)0.3990.0990.9660.9820.7730.6320.5190.6230.7610.7561.0000.7200.7730.7371.0001.0000.6941.0001.0001.000
전공과여자학생수(명)0.3990.0990.9660.9820.7730.6320.5190.6230.7610.7561.0000.7200.7730.7371.0001.0000.6941.0001.0001.000
2023-12-11T06:00:50.443092image/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)전공과전체학생수(명)전공과남자학생수(명)전공과여자학생수(명)학교유형명
기준년도1.0000.1930.1880.1570.0720.0790.1150.1550.1510.1170.0760.0750.0030.0530.0640.0150.1260.1180.1540.000
전체학생수(명)0.1931.0000.9960.9780.9540.9580.9450.9660.9460.9580.9330.9400.9190.9520.9590.9310.8510.8480.8600.586
전체남자학생수(명)0.1880.9961.0000.9650.9500.9570.9420.9640.9510.9470.9380.9530.9150.9500.9580.9240.8520.8500.8610.598
전체여자학생수(명)0.1570.9780.9651.0000.9590.9540.9510.9640.9420.9700.9280.9140.9410.9380.9380.9500.8240.8230.8340.657
유치원전체학생수(명)0.0720.9540.9500.9591.0000.9930.9780.9540.9450.9600.8890.8960.9040.9140.9170.9100.8290.8290.8360.545
유치원남자학생수(명)0.0790.9580.9570.9540.9931.0000.9630.9530.9430.9580.8850.8990.9010.9190.9230.9080.8300.8290.8380.531
유치원여자학생수(명)0.1150.9450.9420.9510.9780.9631.0000.9670.9690.9550.9080.9120.8950.8990.9000.8990.8290.8270.8370.502
초등학교전체학생수(명)0.1550.9660.9640.9640.9540.9530.9671.0000.9840.9770.9340.9290.9280.8990.9090.9040.8180.8160.8280.610
초등학교남자학생수(명)0.1510.9460.9510.9420.9450.9430.9690.9841.0000.9460.9290.9330.9020.8860.8900.8950.8220.8190.8310.571
초등학교여자학생수(명)0.1170.9580.9470.9700.9600.9580.9550.9770.9461.0000.9230.9100.9430.9010.9060.9100.7900.7880.8030.634
중학교전체학생수(명)0.0760.9330.9380.9280.8890.8850.9080.9340.9290.9231.0000.9890.9690.9160.9220.9170.7990.8000.8070.597
중학교남자학생수(명)0.0750.9400.9530.9140.8960.8990.9120.9290.9330.9100.9891.0000.9400.9220.9280.9070.8150.8140.8230.611
중학교여자학생수(명)0.0030.9190.9150.9410.9040.9010.8950.9280.9020.9430.9690.9401.0000.9210.9280.9350.7670.7730.7650.657
고등학교전체학생수(명)0.0530.9520.9500.9380.9140.9190.8990.8990.8860.9010.9160.9220.9211.0000.9960.9800.8510.8570.8370.657
고등학교남자학생수(명)0.0640.9590.9580.9380.9170.9230.9000.9090.8900.9060.9220.9280.9280.9961.0000.9710.8540.8600.8390.634
고등학교여자학생수(명)0.0150.9310.9240.9500.9100.9080.8990.9040.8950.9100.9170.9070.9350.9800.9711.0000.8230.8290.8090.624
전공과전체학생수(명)0.1260.8510.8520.8240.8290.8300.8290.8180.8220.7900.7990.8150.7670.8510.8540.8231.0000.9970.9930.000
전공과남자학생수(명)0.1180.8480.8500.8230.8290.8290.8270.8160.8190.7880.8000.8140.7730.8570.8600.8290.9971.0000.9860.000
전공과여자학생수(명)0.1540.8600.8610.8340.8360.8380.8370.8280.8310.8030.8070.8230.7650.8370.8390.8090.9930.9861.0000.000
학교유형명0.0000.5860.5980.6570.5450.5310.5020.6100.5710.6340.5970.6110.6570.6570.6340.6240.0000.0000.0001.000

Missing values

2023-12-11T06:00:44.166089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:00:44.419438image/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)전공과전체학생수(명)전공과남자학생수(명)전공과여자학생수(명)
02023공립1723812020521817041267437912164602661337922801099290619319751288246
12023국립000000000000000000
22023사립2971731244222216613383501387266000
32022공립159031108448191607120740084125950246229842042942276318179461376869
42022국립000000000000000000
52022사립2891621274221813512574511427369000
62021공립145601001345471370990380743852202218275818998592845182210231498267
72021국립000000000000000000
82021사립2761481287521613311364491406674000
92020공립140889603448517771447330715049832167271318168972901186110401479651
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)전공과전체학생수(명)전공과남자학생수(명)전공과여자학생수(명)
262015사립31317813511921812611967521659075000
272014공립1193278704062504348156509433571737310020811019316920451124653926
282014국립000000000000000000
292014사립27915612310821813512069511316665000
302013공립1165076504000376268108518833971791311720941023294218801062271116
312013국립000000000000000000
322013사립27215611610641613312374491236360000
332012공립1138574853900295201945278349217863053200310502739178495520515
342012국립000000000000000000
352012사립21012684963181531116546724032000