Overview

Dataset statistics

Number of variables20
Number of observations216
Missing cells0
Missing cells (%)0.0%
Duplicate rows44
Duplicate rows (%)20.4%
Total size in memory37.9 KiB
Average record size in memory179.6 B

Variable types

Numeric19
Categorical1

Dataset

Description특수교육지원센터 순회교육 학생수 집계현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=QCHMSK25HQQJONV40HJ925187251&infSeq=1

Alerts

Dataset has 44 (20.4%) duplicate rowsDuplicates
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
장애영아전체수(명) is highly overall correlated with 장애영아남자수(명) and 2 other fieldsHigh correlation
장애영아남자수(명) is highly overall correlated with 장애영아전체수(명) and 2 other fieldsHigh correlation
장애영아여자수(명) is highly overall correlated with 장애영아전체수(명) and 2 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 13 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 13 other fieldsHigh correlation
고등학교여자학생수(명) is highly overall correlated with 전체학생수(명) and 13 other fieldsHigh correlation
순회학급유형명 is highly overall correlated with 전체학생수(명) and 14 other fieldsHigh correlation
전체학생수(명) has 31 (14.4%) zerosZeros
전체남자학생수(명) has 54 (25.0%) zerosZeros
전체여자학생수(명) has 44 (20.4%) zerosZeros
장애영아전체수(명) has 82 (38.0%) zerosZeros
장애영아남자수(명) has 100 (46.3%) zerosZeros
장애영아여자수(명) has 89 (41.2%) zerosZeros
유치원전체학생수(명) has 106 (49.1%) zerosZeros
유치원남자학생수(명) has 112 (51.9%) zerosZeros
유치원여자학생수(명) has 121 (56.0%) zerosZeros
초등학교전체학생수(명) has 135 (62.5%) zerosZeros
초등학교남자학생수(명) has 141 (65.3%) zerosZeros
초등학교여자학생수(명) has 144 (66.7%) zerosZeros
중학교전체학생수(명) has 144 (66.7%) zerosZeros
중학교남자학생수(명) has 156 (72.2%) zerosZeros
중학교여자학생수(명) has 150 (69.4%) zerosZeros
고등학교전체학생수(명) has 141 (65.3%) zerosZeros
고등학교남자학생수(명) has 147 (68.1%) zerosZeros
고등학교여자학생수(명) has 150 (69.4%) zerosZeros

Reproduction

Analysis started2023-12-10 21:07:49.213433
Analysis finished2023-12-10 21:08:20.289767
Duration31.08 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Real number (ℝ)

Distinct12
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2016.2593
Minimum2012
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T06:08:20.337603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2012
5-th percentile2012
Q12014
median2016
Q32018
95-th percentile2022
Maximum2023
Range11
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.995719
Coefficient of variation (CV)0.0014857807
Kurtosis-0.80086922
Mean2016.2593
Median Absolute Deviation (MAD)2
Skewness0.3631308
Sum435512
Variance8.9743325
MonotonicityDecreasing
2023-12-11T06:08:20.434468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2017 24
11.1%
2016 24
11.1%
2015 24
11.1%
2014 24
11.1%
2013 24
11.1%
2012 24
11.1%
2018 20
9.3%
2019 16
7.4%
2021 12
5.6%
2020 12
5.6%
Other values (2) 12
5.6%
ValueCountFrequency (%)
2012 24
11.1%
2013 24
11.1%
2014 24
11.1%
2015 24
11.1%
2016 24
11.1%
2017 24
11.1%
2018 20
9.3%
2019 16
7.4%
2020 12
5.6%
2021 12
5.6%
ValueCountFrequency (%)
2023 4
 
1.9%
2022 8
 
3.7%
2021 12
5.6%
2020 12
5.6%
2019 16
7.4%
2018 20
9.3%
2017 24
11.1%
2016 24
11.1%
2015 24
11.1%
2014 24
11.1%

순회학급유형명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
가정
54 
병원
54 
시설
54 
일반학교
54 

Length

Max length4
Median length2
Mean length2.5
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가정
2nd row병원
3rd row시설
4th row일반학교
5th row가정

Common Values

ValueCountFrequency (%)
가정 54
25.0%
병원 54
25.0%
시설 54
25.0%
일반학교 54
25.0%

Length

2023-12-11T06:08:20.534388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:08:20.657557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정 54
25.0%
병원 54
25.0%
시설 54
25.0%
일반학교 54
25.0%

전체학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct30
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.277778
Minimum0
Maximum503
Zeros31
Zeros (%)14.4%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T06:08:20.746417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median29.5
Q373.75
95-th percentile169
Maximum503
Range503
Interquartile range (IQR)72.75

Descriptive statistics

Standard deviation84.453684
Coefficient of variation (CV)1.4247107
Kurtosis9.0795047
Mean59.277778
Median Absolute Deviation (MAD)29.5
Skewness2.6212324
Sum12804
Variance7132.4248
MonotonicityNot monotonic
2023-12-11T06:08:20.853632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 31
 
14.4%
1 29
 
13.4%
9 12
 
5.6%
65 11
 
5.1%
43 9
 
4.2%
53 8
 
3.7%
51 7
 
3.2%
3 7
 
3.2%
16 6
 
2.8%
146 6
 
2.8%
Other values (20) 90
41.7%
ValueCountFrequency (%)
0 31
14.4%
1 29
13.4%
2 6
 
2.8%
3 7
 
3.2%
4 3
 
1.4%
6 6
 
2.8%
7 3
 
1.4%
8 5
 
2.3%
9 12
 
5.6%
16 6
 
2.8%
ValueCountFrequency (%)
503 1
 
0.5%
423 2
 
0.9%
421 3
1.4%
169 6
2.8%
156 4
1.9%
151 5
2.3%
146 6
2.8%
141 6
2.8%
138 6
2.8%
137 6
2.8%

전체남자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct28
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.662037
Minimum0
Maximum343
Zeros54
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T06:08:20.941062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.75
median17
Q350
95-th percentile105
Maximum343
Range343
Interquartile range (IQR)49.25

Descriptive statistics

Standard deviation56.252683
Coefficient of variation (CV)1.4936176
Kurtosis10.306338
Mean37.662037
Median Absolute Deviation (MAD)17
Skewness2.8169905
Sum8135
Variance3164.3643
MonotonicityNot monotonic
2023-12-11T06:08:21.033545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 54
25.0%
4 15
 
6.9%
1 12
 
5.6%
42 12
 
5.6%
29 10
 
4.6%
2 9
 
4.2%
27 8
 
3.7%
6 6
 
2.8%
25 6
 
2.8%
34 6
 
2.8%
Other values (18) 78
36.1%
ValueCountFrequency (%)
0 54
25.0%
1 12
 
5.6%
2 9
 
4.2%
4 15
 
6.9%
6 6
 
2.8%
7 6
 
2.8%
12 6
 
2.8%
22 3
 
1.4%
25 6
 
2.8%
27 8
 
3.7%
ValueCountFrequency (%)
343 1
 
0.5%
296 2
 
0.9%
276 3
1.4%
110 4
1.9%
105 6
2.8%
100 6
2.8%
89 6
2.8%
88 5
2.3%
87 6
2.8%
85 6
2.8%

전체여자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct22
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.615741
Minimum0
Maximum160
Zeros44
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T06:08:21.138305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median11
Q330
95-th percentile64
Maximum160
Range160
Interquartile range (IQR)29

Descriptive statistics

Standard deviation28.779281
Coefficient of variation (CV)1.3314039
Kurtosis6.6303699
Mean21.615741
Median Absolute Deviation (MAD)11
Skewness2.2269469
Sum4669
Variance828.24701
MonotonicityNot monotonic
2023-12-11T06:08:21.245370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 44
20.4%
1 24
11.1%
2 20
 
9.3%
26 17
 
7.9%
4 11
 
5.1%
46 10
 
4.6%
18 9
 
4.2%
21 9
 
4.2%
3 9
 
4.2%
61 6
 
2.8%
Other values (12) 57
26.4%
ValueCountFrequency (%)
0 44
20.4%
1 24
11.1%
2 20
9.3%
3 9
 
4.2%
4 11
 
5.1%
18 9
 
4.2%
21 9
 
4.2%
22 5
 
2.3%
23 6
 
2.8%
26 17
 
7.9%
ValueCountFrequency (%)
160 1
 
0.5%
145 3
 
1.4%
127 2
 
0.9%
64 6
2.8%
63 5
2.3%
61 6
2.8%
51 6
2.8%
48 6
2.8%
46 10
4.6%
35 6
2.8%

장애영아전체수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct18
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.032407
Minimum0
Maximum62
Zeros82
Zeros (%)38.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T06:08:21.352427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.5
Q39
95-th percentile58.75
Maximum62
Range62
Interquartile range (IQR)9

Descriptive statistics

Standard deviation20.892502
Coefficient of variation (CV)1.6031191
Kurtosis0.270127
Mean13.032407
Median Absolute Deviation (MAD)2.5
Skewness1.4182215
Sum2815
Variance436.49662
MonotonicityNot monotonic
2023-12-11T06:08:21.452901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 82
38.0%
3 18
 
8.3%
1 17
 
7.9%
4 13
 
6.0%
9 12
 
5.6%
8 11
 
5.1%
51 10
 
4.6%
2 9
 
4.2%
37 6
 
2.8%
58 6
 
2.8%
Other values (8) 32
 
14.8%
ValueCountFrequency (%)
0 82
38.0%
1 17
 
7.9%
2 9
 
4.2%
3 18
 
8.3%
4 13
 
6.0%
5 6
 
2.8%
8 11
 
5.1%
9 12
 
5.6%
37 6
 
2.8%
41 3
 
1.4%
ValueCountFrequency (%)
62 6
2.8%
61 5
2.3%
58 6
2.8%
57 1
 
0.5%
53 2
 
0.9%
51 10
4.6%
49 3
 
1.4%
43 6
2.8%
41 3
 
1.4%
37 6
2.8%

장애영아남자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct16
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5694444
Minimum0
Maximum42
Zeros100
Zeros (%)46.3%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T06:08:21.555683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36.25
95-th percentile35.25
Maximum42
Range42
Interquartile range (IQR)6.25

Descriptive statistics

Standard deviation12.446903
Coefficient of variation (CV)1.6443615
Kurtosis0.7457838
Mean7.5694444
Median Absolute Deviation (MAD)1
Skewness1.5101435
Sum1635
Variance154.92539
MonotonicityNot monotonic
2023-12-11T06:08:21.652815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 100
46.3%
1 23
 
10.6%
4 18
 
8.3%
2 15
 
6.9%
27 8
 
3.7%
21 6
 
2.8%
42 6
 
2.8%
6 6
 
2.8%
7 6
 
2.8%
33 6
 
2.8%
Other values (6) 22
 
10.2%
ValueCountFrequency (%)
0 100
46.3%
1 23
 
10.6%
2 15
 
6.9%
4 18
 
8.3%
6 6
 
2.8%
7 6
 
2.8%
20 3
 
1.4%
21 6
 
2.8%
26 6
 
2.8%
27 8
 
3.7%
ValueCountFrequency (%)
42 6
2.8%
36 5
2.3%
35 1
 
0.5%
33 6
2.8%
31 3
 
1.4%
29 4
1.9%
27 8
3.7%
26 6
2.8%
21 6
2.8%
20 3
 
1.4%

장애영아여자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct12
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.462963
Minimum0
Maximum26
Zeros89
Zeros (%)41.2%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T06:08:21.747995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile25
Maximum26
Range26
Interquartile range (IQR)4

Descriptive statistics

Standard deviation8.6679586
Coefficient of variation (CV)1.5866772
Kurtosis0.31855655
Mean5.462963
Median Absolute Deviation (MAD)1
Skewness1.4263435
Sum1180
Variance75.133506
MonotonicityNot monotonic
2023-12-11T06:08:21.857807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 89
41.2%
1 30
 
13.9%
2 28
 
13.0%
25 17
 
7.9%
4 15
 
6.9%
16 12
 
5.6%
20 6
 
2.8%
3 6
 
2.8%
22 5
 
2.3%
18 3
 
1.4%
Other values (2) 5
 
2.3%
ValueCountFrequency (%)
0 89
41.2%
1 30
 
13.9%
2 28
 
13.0%
3 6
 
2.8%
4 15
 
6.9%
16 12
 
5.6%
18 3
 
1.4%
20 6
 
2.8%
21 3
 
1.4%
22 5
 
2.3%
ValueCountFrequency (%)
26 2
 
0.9%
25 17
7.9%
22 5
 
2.3%
21 3
 
1.4%
20 6
 
2.8%
18 3
 
1.4%
16 12
5.6%
4 15
6.9%
3 6
 
2.8%
2 28
13.0%

유치원전체학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct18
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.12963
Minimum0
Maximum124
Zeros106
Zeros (%)49.1%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T06:08:21.963759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q316.25
95-th percentile43
Maximum124
Range124
Interquartile range (IQR)16.25

Descriptive statistics

Standard deviation20.326449
Coefficient of variation (CV)1.8263365
Kurtosis11.293686
Mean11.12963
Median Absolute Deviation (MAD)1
Skewness3.0331626
Sum2404
Variance413.16451
MonotonicityNot monotonic
2023-12-11T06:08:22.063156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 106
49.1%
2 15
 
6.9%
1 12
 
5.6%
32 10
 
4.6%
29 9
 
4.2%
7 6
 
2.8%
25 6
 
2.8%
36 6
 
2.8%
43 6
 
2.8%
11 6
 
2.8%
Other values (8) 34
 
15.7%
ValueCountFrequency (%)
0 106
49.1%
1 12
 
5.6%
2 15
 
6.9%
4 5
 
2.3%
7 6
 
2.8%
11 6
 
2.8%
15 6
 
2.8%
16 6
 
2.8%
17 5
 
2.3%
21 6
 
2.8%
ValueCountFrequency (%)
124 1
 
0.5%
104 2
 
0.9%
100 3
 
1.4%
43 6
2.8%
36 6
2.8%
32 10
4.6%
29 9
4.2%
25 6
2.8%
21 6
2.8%
17 5
2.3%

유치원남자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct16
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.2777778
Minimum0
Maximum82
Zeros112
Zeros (%)51.9%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T06:08:22.169769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q39
95-th percentile29
Maximum82
Range82
Interquartile range (IQR)9

Descriptive statistics

Standard deviation13.752857
Coefficient of variation (CV)1.8897056
Kurtosis10.740648
Mean7.2777778
Median Absolute Deviation (MAD)0
Skewness2.9759191
Sum1572
Variance189.14109
MonotonicityNot monotonic
2023-12-11T06:08:22.271282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 112
51.9%
1 18
 
8.3%
19 12
 
5.6%
7 11
 
5.1%
25 10
 
4.6%
2 8
 
3.7%
3 6
 
2.8%
21 6
 
2.8%
29 6
 
2.8%
6 6
 
2.8%
Other values (6) 21
 
9.7%
ValueCountFrequency (%)
0 112
51.9%
1 18
 
8.3%
2 8
 
3.7%
3 6
 
2.8%
6 6
 
2.8%
7 11
 
5.1%
9 6
 
2.8%
14 6
 
2.8%
19 12
 
5.6%
21 6
 
2.8%
ValueCountFrequency (%)
82 1
 
0.5%
74 2
 
0.9%
63 3
 
1.4%
29 6
2.8%
25 10
4.6%
24 3
 
1.4%
21 6
2.8%
19 12
5.6%
14 6
2.8%
9 6
2.8%

유치원여자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct13
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8518519
Minimum0
Maximum42
Zeros121
Zeros (%)56.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T06:08:22.365351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile15
Maximum42
Range42
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.8963284
Coefficient of variation (CV)1.7903929
Kurtosis11.514992
Mean3.8518519
Median Absolute Deviation (MAD)0
Skewness3.0427091
Sum832
Variance47.559345
MonotonicityNot monotonic
2023-12-11T06:08:22.491507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 121
56.0%
10 17
 
7.9%
7 16
 
7.4%
6 12
 
5.6%
4 12
 
5.6%
2 11
 
5.1%
1 6
 
2.8%
14 6
 
2.8%
15 6
 
2.8%
37 3
 
1.4%
Other values (3) 6
 
2.8%
ValueCountFrequency (%)
0 121
56.0%
1 6
 
2.8%
2 11
 
5.1%
4 12
 
5.6%
5 3
 
1.4%
6 12
 
5.6%
7 16
 
7.4%
10 17
 
7.9%
14 6
 
2.8%
15 6
 
2.8%
ValueCountFrequency (%)
42 1
 
0.5%
37 3
 
1.4%
30 2
 
0.9%
15 6
 
2.8%
14 6
 
2.8%
10 17
7.9%
7 16
7.4%
6 12
5.6%
5 3
 
1.4%
4 12
5.6%

초등학교전체학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct13
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.115741
Minimum0
Maximum283
Zeros135
Zeros (%)62.5%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T06:08:22.599801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q319
95-th percentile82.5
Maximum283
Range283
Interquartile range (IQR)19

Descriptive statistics

Standard deviation45.998084
Coefficient of variation (CV)1.9899031
Kurtosis9.1928976
Mean23.115741
Median Absolute Deviation (MAD)0
Skewness2.7269604
Sum4993
Variance2115.8238
MonotonicityNot monotonic
2023-12-11T06:08:22.688829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 135
62.5%
66 18
 
8.3%
7 12
 
5.6%
82 10
 
4.6%
1 9
 
4.2%
76 6
 
2.8%
80 6
 
2.8%
4 6
 
2.8%
84 5
 
2.3%
210 3
 
1.4%
Other values (3) 6
 
2.8%
ValueCountFrequency (%)
0 135
62.5%
1 9
 
4.2%
4 6
 
2.8%
7 12
 
5.6%
55 3
 
1.4%
66 18
 
8.3%
76 6
 
2.8%
80 6
 
2.8%
82 10
 
4.6%
84 5
 
2.3%
ValueCountFrequency (%)
283 1
 
0.5%
217 2
 
0.9%
210 3
 
1.4%
84 5
 
2.3%
82 10
4.6%
80 6
 
2.8%
76 6
 
2.8%
66 18
8.3%
55 3
 
1.4%
7 12
5.6%

초등학교남자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct14
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.101852
Minimum0
Maximum197
Zeros141
Zeros (%)65.3%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T06:08:22.782946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q315.5
95-th percentile52
Maximum197
Range197
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation30.716843
Coefficient of variation (CV)2.0339786
Kurtosis10.892915
Mean15.101852
Median Absolute Deviation (MAD)0
Skewness2.9454926
Sum3262
Variance943.52446
MonotonicityNot monotonic
2023-12-11T06:08:22.885457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 141
65.3%
41 15
 
6.9%
51 12
 
5.6%
7 6
 
2.8%
44 6
 
2.8%
4 6
 
2.8%
2 6
 
2.8%
45 6
 
2.8%
52 5
 
2.3%
60 4
 
1.9%
Other values (4) 9
 
4.2%
ValueCountFrequency (%)
0 141
65.3%
1 3
 
1.4%
2 6
 
2.8%
4 6
 
2.8%
7 6
 
2.8%
41 15
 
6.9%
44 6
 
2.8%
45 6
 
2.8%
51 12
 
5.6%
52 5
 
2.3%
ValueCountFrequency (%)
197 1
 
0.5%
153 2
 
0.9%
139 3
 
1.4%
60 4
 
1.9%
52 5
 
2.3%
51 12
5.6%
45 6
 
2.8%
44 6
 
2.8%
41 15
6.9%
7 6
 
2.8%

초등학교여자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct15
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0138889
Minimum0
Maximum86
Zeros144
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T06:08:22.988289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35.75
95-th percentile35
Maximum86
Range86
Interquartile range (IQR)5.75

Descriptive statistics

Standard deviation15.556193
Coefficient of variation (CV)1.9411541
Kurtosis6.203504
Mean8.0138889
Median Absolute Deviation (MAD)0
Skewness2.347562
Sum1731
Variance241.99516
MonotonicityNot monotonic
2023-12-11T06:08:23.294367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 144
66.7%
22 10
 
4.6%
31 6
 
2.8%
35 6
 
2.8%
1 6
 
2.8%
29 6
 
2.8%
3 6
 
2.8%
25 6
 
2.8%
2 6
 
2.8%
21 6
 
2.8%
Other values (5) 14
 
6.5%
ValueCountFrequency (%)
0 144
66.7%
1 6
 
2.8%
2 6
 
2.8%
3 6
 
2.8%
14 3
 
1.4%
21 6
 
2.8%
22 10
 
4.6%
25 6
 
2.8%
29 6
 
2.8%
31 6
 
2.8%
ValueCountFrequency (%)
86 1
 
0.5%
71 3
 
1.4%
64 2
 
0.9%
35 6
2.8%
32 5
2.3%
31 6
2.8%
29 6
2.8%
25 6
2.8%
22 10
4.6%
21 6
2.8%

중학교전체학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct12
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.5046296
Minimum0
Maximum71
Zeros144
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T06:08:23.396928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile43
Maximum71
Range71
Interquartile range (IQR)5

Descriptive statistics

Standard deviation16.07656
Coefficient of variation (CV)1.8903304
Kurtosis3.6770877
Mean8.5046296
Median Absolute Deviation (MAD)0
Skewness1.9889527
Sum1837
Variance258.45579
MonotonicityNot monotonic
2023-12-11T06:08:23.504346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 144
66.7%
1 12
 
5.6%
25 12
 
5.6%
29 12
 
5.6%
30 10
 
4.6%
2 6
 
2.8%
43 6
 
2.8%
31 5
 
2.3%
71 3
 
1.4%
14 3
 
1.4%
Other values (2) 3
 
1.4%
ValueCountFrequency (%)
0 144
66.7%
1 12
 
5.6%
2 6
 
2.8%
14 3
 
1.4%
25 12
 
5.6%
29 12
 
5.6%
30 10
 
4.6%
31 5
 
2.3%
43 6
 
2.8%
64 2
 
0.9%
ValueCountFrequency (%)
71 3
 
1.4%
69 1
 
0.5%
64 2
 
0.9%
43 6
2.8%
31 5
2.3%
30 10
4.6%
29 12
5.6%
25 12
5.6%
14 3
 
1.4%
2 6
2.8%

중학교남자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct13
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4537037
Minimum0
Maximum51
Zeros156
Zeros (%)72.2%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T06:08:23.613444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.5
95-th percentile25
Maximum51
Range51
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation10.641196
Coefficient of variation (CV)1.9511871
Kurtosis5.388679
Mean5.4537037
Median Absolute Deviation (MAD)0
Skewness2.2473131
Sum1178
Variance113.23506
MonotonicityNot monotonic
2023-12-11T06:08:23.717222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 156
72.2%
17 12
 
5.6%
15 6
 
2.8%
20 6
 
2.8%
2 6
 
2.8%
25 6
 
2.8%
19 6
 
2.8%
18 5
 
2.3%
21 4
 
1.9%
49 3
 
1.4%
Other values (3) 6
 
2.8%
ValueCountFrequency (%)
0 156
72.2%
2 6
 
2.8%
8 3
 
1.4%
15 6
 
2.8%
17 12
 
5.6%
18 5
 
2.3%
19 6
 
2.8%
20 6
 
2.8%
21 4
 
1.9%
25 6
 
2.8%
ValueCountFrequency (%)
51 1
 
0.5%
49 3
 
1.4%
46 2
 
0.9%
25 6
2.8%
21 4
 
1.9%
20 6
2.8%
19 6
2.8%
18 5
2.3%
17 12
5.6%
15 6
2.8%

중학교여자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct9
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0509259
Minimum0
Maximum22
Zeros150
Zeros (%)69.4%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T06:08:23.833830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.25
95-th percentile18
Maximum22
Range22
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation5.6347922
Coefficient of variation (CV)1.8469122
Kurtosis1.810707
Mean3.0509259
Median Absolute Deviation (MAD)0
Skewness1.7213084
Sum659
Variance31.750883
MonotonicityNot monotonic
2023-12-11T06:08:23.945499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 150
69.4%
1 12
 
5.6%
13 11
 
5.1%
9 10
 
4.6%
18 9
 
4.2%
6 9
 
4.2%
10 6
 
2.8%
12 6
 
2.8%
22 3
 
1.4%
ValueCountFrequency (%)
0 150
69.4%
1 12
 
5.6%
6 9
 
4.2%
9 10
 
4.6%
10 6
 
2.8%
12 6
 
2.8%
13 11
 
5.1%
18 9
 
4.2%
22 3
 
1.4%
ValueCountFrequency (%)
22 3
 
1.4%
18 9
 
4.2%
13 11
 
5.1%
12 6
 
2.8%
10 6
 
2.8%
9 10
 
4.6%
6 9
 
4.2%
1 12
 
5.6%
0 150
69.4%

고등학교전체학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct13
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3981481
Minimum0
Maximum38
Zeros141
Zeros (%)65.3%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T06:08:24.053757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile14.5
Maximum38
Range38
Interquartile range (IQR)3

Descriptive statistics

Standard deviation7.2348508
Coefficient of variation (CV)2.1290569
Kurtosis10.604251
Mean3.3981481
Median Absolute Deviation (MAD)0
Skewness3.0388297
Sum734
Variance52.343066
MonotonicityNot monotonic
2023-12-11T06:08:24.179158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 141
65.3%
12 12
 
5.6%
1 9
 
4.2%
2 9
 
4.2%
5 6
 
2.8%
13 6
 
2.8%
14 6
 
2.8%
3 6
 
2.8%
4 6
 
2.8%
38 5
 
2.3%
Other values (3) 10
 
4.6%
ValueCountFrequency (%)
0 141
65.3%
1 9
 
4.2%
2 9
 
4.2%
3 6
 
2.8%
4 6
 
2.8%
5 6
 
2.8%
8 4
 
1.9%
12 12
 
5.6%
13 6
 
2.8%
14 6
 
2.8%
ValueCountFrequency (%)
38 5
2.3%
27 1
 
0.5%
16 5
2.3%
14 6
2.8%
13 6
2.8%
12 12
5.6%
8 4
 
1.9%
5 6
2.8%
4 6
2.8%
3 6
2.8%

고등학교남자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct10
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2037037
Minimum0
Maximum25
Zeros147
Zeros (%)68.1%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T06:08:24.277706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile10
Maximum25
Range25
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.654099
Coefficient of variation (CV)2.1119441
Kurtosis9.912548
Mean2.2037037
Median Absolute Deviation (MAD)0
Skewness2.9292778
Sum476
Variance21.660637
MonotonicityNot monotonic
2023-12-11T06:08:24.376178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 147
68.1%
2 18
 
8.3%
9 12
 
5.6%
10 11
 
5.1%
4 10
 
4.6%
1 6
 
2.8%
7 6
 
2.8%
25 3
 
1.4%
23 2
 
0.9%
13 1
 
0.5%
ValueCountFrequency (%)
0 147
68.1%
1 6
 
2.8%
2 18
 
8.3%
4 10
 
4.6%
7 6
 
2.8%
9 12
 
5.6%
10 11
 
5.1%
13 1
 
0.5%
23 2
 
0.9%
25 3
 
1.4%
ValueCountFrequency (%)
25 3
 
1.4%
23 2
 
0.9%
13 1
 
0.5%
10 11
 
5.1%
9 12
 
5.6%
7 6
 
2.8%
4 10
 
4.6%
2 18
 
8.3%
1 6
 
2.8%
0 147
68.1%

고등학교여자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct9
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1944444
Minimum0
Maximum15
Zeros150
Zeros (%)69.4%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T06:08:24.471721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5.25
Maximum15
Range15
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.6883325
Coefficient of variation (CV)2.250697
Kurtosis11.968454
Mean1.1944444
Median Absolute Deviation (MAD)0
Skewness3.2586372
Sum258
Variance7.2271318
MonotonicityNot monotonic
2023-12-11T06:08:24.572332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 150
69.4%
1 21
 
9.7%
2 12
 
5.6%
5 12
 
5.6%
4 10
 
4.6%
6 5
 
2.3%
13 3
 
1.4%
15 2
 
0.9%
14 1
 
0.5%
ValueCountFrequency (%)
0 150
69.4%
1 21
 
9.7%
2 12
 
5.6%
4 10
 
4.6%
5 12
 
5.6%
6 5
 
2.3%
13 3
 
1.4%
14 1
 
0.5%
15 2
 
0.9%
ValueCountFrequency (%)
15 2
 
0.9%
14 1
 
0.5%
13 3
 
1.4%
6 5
 
2.3%
5 12
 
5.6%
4 10
 
4.6%
2 12
 
5.6%
1 21
 
9.7%
0 150
69.4%

Interactions

2023-12-11T06:08:18.329641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:49.914511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:51.567824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:52.897358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2023-12-11T06:08:06.389607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:08.078736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:09.882796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:11.553325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:13.043188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:14.736485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:16.384303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:17.728834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:19.341747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:50.852454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:52.339512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:53.880320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:55.458510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:56.976537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:58.465093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:59.954120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:01.556101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:03.278528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:04.718995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:06.461381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:08.169311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:09.965338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:11.651083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:13.110810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:14.825440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:16.468434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:17.792117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:19.436541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:50.938960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:52.427099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:53.956967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:55.549501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:57.051967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:58.544022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:00.039735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:01.643929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:03.362897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:04.834136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:06.551083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:08.272235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:10.061825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:11.747374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:13.196147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:14.927131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:16.543574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:17.865745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:19.516005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:51.011497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:52.489563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:54.021868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:55.624572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:57.116256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:58.624740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:00.111573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:01.723167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:03.435316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:04.901711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:06.621202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:08.358049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:10.134619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:11.817333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:13.263218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:15.028552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:16.609603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:17.925982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:19.596577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:51.098184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:52.560687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:54.105448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:55.712415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:57.191885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:58.713614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:00.189049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:01.821745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:03.512496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:04.978950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:06.715060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:08.465714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:10.215203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:11.898527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:13.338269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:15.125110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:16.681805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:17.995710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:19.663526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:51.197960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:52.626423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:54.176407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:55.805528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:57.260195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:58.784822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:00.260024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:01.911453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:03.587368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:05.055006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:06.798266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:08.539360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:10.295345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:11.970198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:13.437136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:15.204078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:16.750845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:18.057131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:19.728833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:51.289477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:52.690488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:54.247631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:55.887570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:57.327258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:58.854792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:00.333620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:01.983528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:03.652144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:05.130584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:06.876873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:08.621766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:10.380774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:12.051071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:13.518209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:15.278001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:16.818188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:18.120146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:19.802408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:51.410010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:52.759111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:54.326076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:55.984436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:57.401354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:58.928125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:00.420494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:02.059852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:03.733349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:05.218621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:06.970150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:08.905377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:10.460124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:12.131248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:13.612038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:15.379134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:16.902563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:18.189252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:19.875659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:51.485614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:52.826766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:54.421442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:56.068952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:57.469610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:59.006857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:00.526135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:02.137984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:03.811088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:05.310856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:07.057642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:08.991037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:10.552531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:12.213029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:13.698665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:15.466909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:16.983338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:18.252892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:08:24.669097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도순회학급유형명전체학생수(명)전체남자학생수(명)전체여자학생수(명)장애영아전체수(명)장애영아남자수(명)장애영아여자수(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)
기준년도1.0000.0000.4650.5370.5660.6680.7210.6000.5620.6450.6380.6260.6260.6390.6360.6360.6360.6160.6160.673
순회학급유형명0.0001.0000.8680.7890.8590.6780.8500.6960.6750.6690.6680.6370.6370.8740.7290.7290.7290.6750.6320.632
전체학생수(명)0.4650.8681.0000.9930.8980.5940.6220.7980.9770.9480.8850.9150.9210.9050.9560.9640.9280.9210.8810.836
전체남자학생수(명)0.5370.7890.9931.0000.8740.5390.5890.7110.9840.9550.8930.9130.9380.9160.9610.9760.9450.9080.8870.816
전체여자학생수(명)0.5660.8590.8980.8741.0000.7500.5480.5670.8990.8820.9770.8270.8340.8900.8880.8630.8950.9660.9640.958
장애영아전체수(명)0.6680.6780.5940.5390.7501.0000.9200.8580.3780.1280.5920.1800.1800.0000.1190.1190.1190.0000.0000.000
장애영아남자수(명)0.7210.8500.6220.5890.5480.9201.0000.8820.3580.0000.3830.0000.0000.0000.0000.0000.0000.0000.0000.000
장애영아여자수(명)0.6000.6960.7980.7110.5670.8580.8821.0000.3040.2170.2150.0950.3350.0000.0940.2970.2050.2950.0690.069
유치원전체학생수(명)0.5620.6750.9770.9840.8990.3780.3580.3041.0000.9740.9210.8940.8960.9170.9690.9580.9530.9000.9230.845
유치원남자학생수(명)0.6450.6690.9480.9550.8820.1280.0000.2170.9741.0000.8930.8160.8230.9280.9470.9640.9710.8340.8760.888
유치원여자학생수(명)0.6380.6680.8850.8930.9770.5920.3830.2150.9210.8931.0000.8950.8960.9230.8430.8120.8780.9660.9650.968
초등학교전체학생수(명)0.6260.6370.9150.9130.8270.1800.0000.0950.8940.8160.8951.0000.9911.0000.9110.9110.8130.9090.8950.815
초등학교남자학생수(명)0.6260.6370.9210.9380.8340.1800.0000.3350.8960.8230.8960.9911.0000.9250.8170.8490.7990.9810.9170.845
초등학교여자학생수(명)0.6390.8740.9050.9160.8900.0000.0000.0000.9170.9280.9231.0000.9251.0000.9110.9270.9050.8920.9430.907
중학교전체학생수(명)0.6360.7290.9560.9610.8880.1190.0000.0940.9690.9470.8430.9110.8170.9111.0000.9940.9780.8210.8460.894
중학교남자학생수(명)0.6360.7290.9640.9760.8630.1190.0000.2970.9580.9640.8120.9110.8490.9270.9941.0000.9660.8510.8410.836
중학교여자학생수(명)0.6360.7290.9280.9450.8950.1190.0000.2050.9530.9710.8780.8130.7990.9050.9780.9661.0000.8390.8540.879
고등학교전체학생수(명)0.6160.6750.9210.9080.9660.0000.0000.2950.9000.8340.9660.9090.9810.8920.8210.8510.8391.0000.9860.978
고등학교남자학생수(명)0.6160.6320.8810.8870.9640.0000.0000.0690.9230.8760.9650.8950.9170.9430.8460.8410.8540.9861.0000.965
고등학교여자학생수(명)0.6730.6320.8360.8160.9580.0000.0000.0690.8450.8880.9680.8150.8450.9070.8940.8360.8790.9780.9651.000
2023-12-11T06:08:24.857085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도전체학생수(명)전체남자학생수(명)전체여자학생수(명)장애영아전체수(명)장애영아남자수(명)장애영아여자수(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)순회학급유형명
기준년도1.0000.0390.0360.0370.2410.1740.258-0.244-0.222-0.201-0.089-0.078-0.098-0.065-0.052-0.017-0.123-0.068-0.1020.000
전체학생수(명)0.0391.0000.9830.9760.3590.3000.4220.8050.8250.7930.7980.7750.7970.7890.7860.7520.7420.7780.6940.734
전체남자학생수(명)0.0360.9831.0000.9410.3400.2950.3890.7850.8260.7610.8010.7870.7910.7960.7900.7590.7370.7860.6790.632
전체여자학생수(명)0.0370.9760.9411.0000.3400.2750.4340.8090.8130.8190.7860.7450.7950.7480.7570.7320.7300.7600.7020.785
장애영아전체수(명)0.2410.3590.3400.3401.0000.9570.964-0.074-0.040-0.056-0.090-0.154-0.142-0.056-0.170-0.102-0.223-0.165-0.3030.538
장애영아남자수(명)0.1740.3000.2950.2750.9571.0000.879-0.121-0.094-0.098-0.152-0.214-0.195-0.113-0.237-0.157-0.263-0.209-0.3580.524
장애영아여자수(명)0.2580.4220.3890.4340.9640.8791.0000.0370.0690.0420.007-0.066-0.055-0.019-0.088-0.066-0.140-0.086-0.2140.525
유치원전체학생수(명)-0.2440.8050.7850.809-0.074-0.1210.0371.0000.9760.9520.8260.8040.8450.6900.7800.6510.7770.8050.7560.502
유치원남자학생수(명)-0.2220.8250.8260.813-0.040-0.0940.0690.9761.0000.9060.8600.8370.8690.7230.8130.6770.7980.8270.7690.496
유치원여자학생수(명)-0.2010.7930.7610.819-0.056-0.0980.0420.9520.9061.0000.7880.7570.8500.6900.7610.6570.7900.8160.7680.527
초등학교전체학생수(명)-0.0890.7980.8010.786-0.090-0.1520.0070.8260.8600.7881.0000.9730.9470.8250.8900.7800.9000.9320.8400.565
초등학교남자학생수(명)-0.0780.7750.7870.745-0.154-0.214-0.0660.8040.8370.7570.9731.0000.9060.8420.9100.7960.9170.9460.8570.565
초등학교여자학생수(명)-0.0980.7970.7910.795-0.142-0.195-0.0550.8450.8690.8500.9470.9061.0000.8680.9220.8230.9220.9490.8840.552
중학교전체학생수(명)-0.0650.7890.7960.748-0.056-0.113-0.0190.6900.7230.6900.8250.8420.8681.0000.9350.9590.8510.8720.8180.561
중학교남자학생수(명)-0.0520.7860.7900.757-0.170-0.237-0.0880.7800.8130.7610.8900.9100.9220.9351.0000.8790.9070.9240.8690.561
중학교여자학생수(명)-0.0170.7520.7590.732-0.102-0.157-0.0660.6510.6770.6570.7800.7960.8230.9590.8791.0000.8110.8270.8470.561
고등학교전체학생수(명)-0.1230.7420.7370.730-0.223-0.263-0.1400.7770.7980.7900.9000.9170.9220.8510.9070.8111.0000.9700.9480.534
고등학교남자학생수(명)-0.0680.7780.7860.760-0.165-0.209-0.0860.8050.8270.8160.9320.9460.9490.8720.9240.8270.9701.0000.8960.493
고등학교여자학생수(명)-0.1020.6940.6790.702-0.303-0.358-0.2140.7560.7690.7680.8400.8570.8840.8180.8690.8470.9480.8961.0000.493
순회학급유형명0.0000.7340.6320.7850.5380.5240.5250.5020.4960.5270.5650.5650.5520.5610.5610.5610.5340.4930.4931.000

Missing values

2023-12-11T06:08:19.987851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:08:20.194277image/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

기준년도순회학급유형명전체학생수(명)전체남자학생수(명)전체여자학생수(명)장애영아전체수(명)장애영아남자수(명)장애영아여자수(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)
02023가정573522573522000000000000
12023병원000000000000000000
22023시설440440000000000000
32023일반학교503343160000124824228319786695118271314
42022가정532726532726000000000000
52022가정532726532726000000000000
62022병원000000000000000000
72022병원000000000000000000
82022시설422422000000000000
92022시설422422000000000000
기준년도순회학급유형명전체학생수(명)전체남자학생수(명)전체여자학생수(명)장애영아전체수(명)장애영아남자수(명)장애영아여자수(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)
2062012시설110000110000000000
2072012시설110000110000000000
2082012시설110000110000000000
2092012시설110000110000000000
2102012일반학교12085350002519666452125196422
2112012일반학교12085350002519666452125196422
2122012일반학교12085350002519666452125196422
2132012일반학교12085350002519666452125196422
2142012일반학교12085350002519666452125196422
2152012일반학교12085350002519666452125196422

Duplicate rows

Most frequently occurring

기준년도순회학급유형명전체학생수(명)전체남자학생수(명)전체여자학생수(명)장애영아전체수(명)장애영아남자수(명)장애영아여자수(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)# duplicates
02012가정4325180003621154220003216
12012병원0000000000000000006
22012시설1100001100000000006
32012일반학교120853500025196664521251964226
42013가정65422343271611747432202206
52013병원1010000000000001016
62013시설6425410000001010006
72013일반학교1691056431243291466412543251814956
82014가정532726372116166100000000006
92014병원0000000000000000006