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

Numeric13
Categorical7

Dataset

Description특수학교 순회교육 학생수 집계현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=CFLV82Q7W0M4I5XZZRAF25165237&infSeq=1

Alerts

초등학교남자학생수(명) is highly overall correlated with 유치원전체학생수(명) and 3 other fieldsHigh correlation
초등학교여자학생수(명) is highly overall correlated with 유치원남자학생수(명) and 3 other fieldsHigh correlation
초등학교전체학생수(명) is highly overall correlated with 유치원남자학생수(명) and 3 other fieldsHigh correlation
전체학생수(명) is highly overall correlated with 전체남자학생수(명) and 12 other fieldsHigh correlation
전체남자학생수(명) is highly overall correlated with 전체학생수(명) and 11 other fieldsHigh correlation
전체여자학생수(명) is highly overall correlated with 전체학생수(명) and 11 other fieldsHigh correlation
장애영아전체수(명) is highly overall correlated with 전체학생수(명) and 7 other fieldsHigh correlation
장애영아남자수(명) is highly overall correlated with 전체학생수(명) and 7 other fieldsHigh correlation
유치원전체학생수(명) is highly overall correlated with 전체학생수(명) and 6 other fieldsHigh correlation
유치원남자학생수(명) is highly overall correlated with 전체학생수(명) and 8 other fieldsHigh correlation
유치원여자학생수(명) is highly overall correlated with 전체학생수(명) and 7 other fieldsHigh correlation
중학교전체학생수(명) is highly overall correlated with 전체학생수(명) and 8 other fieldsHigh correlation
고등학교전체학생수(명) is highly overall correlated with 전체학생수(명) and 6 other fieldsHigh correlation
고등학교남자학생수(명) is highly overall correlated with 전체학생수(명) and 10 other fieldsHigh correlation
고등학교여자학생수(명) is highly overall correlated with 전체학생수(명) and 6 other fieldsHigh correlation
순회학급유형명 is highly overall correlated with 전체학생수(명) and 5 other fieldsHigh correlation
장애영아여자수(명) is highly overall correlated with 전체학생수(명) and 7 other fieldsHigh correlation
중학교남자학생수(명) is highly overall correlated with 장애영아전체수(명) and 6 other fieldsHigh correlation
중학교여자학생수(명) is highly overall correlated with 장애영아전체수(명) and 5 other fieldsHigh correlation
장애영아여자수(명) is highly imbalanced (57.0%)Imbalance
초등학교전체학생수(명) is highly imbalanced (58.2%)Imbalance
초등학교남자학생수(명) is highly imbalanced (55.3%)Imbalance
초등학교여자학생수(명) is highly imbalanced (52.2%)Imbalance
전체학생수(명) has 9 (25.0%) zerosZeros
전체남자학생수(명) has 11 (30.6%) zerosZeros
전체여자학생수(명) has 9 (25.0%) zerosZeros
장애영아전체수(명) has 29 (80.6%) zerosZeros
장애영아남자수(명) has 29 (80.6%) zerosZeros
유치원전체학생수(명) has 22 (61.1%) zerosZeros
유치원남자학생수(명) has 22 (61.1%) zerosZeros
유치원여자학생수(명) has 23 (63.9%) zerosZeros
중학교전체학생수(명) has 16 (44.4%) zerosZeros
고등학교전체학생수(명) has 16 (44.4%) zerosZeros
고등학교남자학생수(명) has 18 (50.0%) zerosZeros
고등학교여자학생수(명) has 16 (44.4%) zerosZeros

Reproduction

Analysis started2023-12-10 21:47:39.243322
Analysis finished2023-12-10 21:47:53.193839
Duration13.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Real number (ℝ)

Distinct13
Distinct (%)36.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2020
Minimum2012
Maximum2103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:47:53.239510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2012
5-th percentile2012
Q12015
median2018
Q32021
95-th percentile2023
Maximum2103
Range91
Interquartile range (IQR)6

Descriptive statistics

Standard deviation14.632645
Coefficient of variation (CV)0.0072438834
Kurtosis31.855225
Mean2020
Median Absolute Deviation (MAD)3
Skewness5.4878589
Sum72720
Variance214.11429
MonotonicityDecreasing
2023-12-11T06:47:53.330449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
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 (3) 6
16.7%
ValueCountFrequency (%)
2012 3
8.3%
2013 2
5.6%
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 (%)
2103 1
 
2.8%
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%

순회학급유형명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
시설
12 
가정
12 
병원
12 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
시설 12
33.3%
가정 12
33.3%
병원 12
33.3%

Length

2023-12-11T06:47:53.426094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:47:53.511356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시설 12
33.3%
가정 12
33.3%
병원 12
33.3%

전체학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct18
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.111111
Minimum0
Maximum38
Zeros9
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:47:53.591334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.5
median8.5
Q319
95-th percentile35.25
Maximum38
Range38
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation11.688279
Coefficient of variation (CV)0.96508728
Kurtosis-0.2854079
Mean12.111111
Median Absolute Deviation (MAD)8.5
Skewness0.83208387
Sum436
Variance136.61587
MonotonicityNot monotonic
2023-12-11T06:47:53.687663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 9
25.0%
12 3
 
8.3%
2 2
 
5.6%
18 2
 
5.6%
19 2
 
5.6%
6 2
 
5.6%
26 2
 
5.6%
35 2
 
5.6%
7 2
 
5.6%
8 2
 
5.6%
Other values (8) 8
22.2%
ValueCountFrequency (%)
0 9
25.0%
2 2
 
5.6%
5 1
 
2.8%
6 2
 
5.6%
7 2
 
5.6%
8 2
 
5.6%
9 1
 
2.8%
11 1
 
2.8%
12 3
 
8.3%
16 1
 
2.8%
ValueCountFrequency (%)
38 1
 
2.8%
36 1
 
2.8%
35 2
5.6%
26 2
5.6%
23 1
 
2.8%
20 1
 
2.8%
19 2
5.6%
18 2
5.6%
16 1
 
2.8%
12 3
8.3%

전체남자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct17
Distinct (%)47.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6388889
Minimum0
Maximum26
Zeros11
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:47:53.786942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4.5
Q310
95-th percentile22.25
Maximum26
Range26
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.3139896
Coefficient of variation (CV)1.1016888
Kurtosis1.1536498
Mean6.6388889
Median Absolute Deviation (MAD)4.5
Skewness1.2985934
Sum239
Variance53.494444
MonotonicityNot monotonic
2023-12-11T06:47:53.886297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 11
30.6%
3 4
 
11.1%
6 2
 
5.6%
5 2
 
5.6%
10 2
 
5.6%
4 2
 
5.6%
26 2
 
5.6%
8 2
 
5.6%
9 1
 
2.8%
16 1
 
2.8%
Other values (7) 7
19.4%
ValueCountFrequency (%)
0 11
30.6%
2 1
 
2.8%
3 4
 
11.1%
4 2
 
5.6%
5 2
 
5.6%
6 2
 
5.6%
7 1
 
2.8%
8 2
 
5.6%
9 1
 
2.8%
10 2
 
5.6%
ValueCountFrequency (%)
26 2
5.6%
21 1
2.8%
18 1
2.8%
16 1
2.8%
13 1
2.8%
12 1
2.8%
11 1
2.8%
10 2
5.6%
9 1
2.8%
8 2
5.6%

전체여자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct13
Distinct (%)36.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4722222
Minimum0
Maximum17
Zeros9
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:47:53.976607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.75
median4
Q310
95-th percentile14.25
Maximum17
Range17
Interquartile range (IQR)9.25

Descriptive statistics

Standard deviation5.1905745
Coefficient of variation (CV)0.94853138
Kurtosis-0.87066394
Mean5.4722222
Median Absolute Deviation (MAD)4
Skewness0.60946287
Sum197
Variance26.942063
MonotonicityNot monotonic
2023-12-11T06:47:54.068624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 9
25.0%
2 6
16.7%
10 4
11.1%
4 3
 
8.3%
8 3
 
8.3%
6 2
 
5.6%
12 2
 
5.6%
14 2
 
5.6%
17 1
 
2.8%
1 1
 
2.8%
Other values (3) 3
 
8.3%
ValueCountFrequency (%)
0 9
25.0%
1 1
 
2.8%
2 6
16.7%
3 1
 
2.8%
4 3
 
8.3%
6 2
 
5.6%
8 3
 
8.3%
9 1
 
2.8%
10 4
11.1%
12 2
 
5.6%
ValueCountFrequency (%)
17 1
 
2.8%
15 1
 
2.8%
14 2
5.6%
12 2
5.6%
10 4
11.1%
9 1
 
2.8%
8 3
8.3%
6 2
5.6%
4 3
8.3%
3 1
 
2.8%

장애영아전체수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.94444444
Minimum0
Maximum10
Zeros29
Zeros (%)80.6%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:47:54.177733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.25
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.2161027
Coefficient of variation (CV)2.3464617
Kurtosis7.7108647
Mean0.94444444
Median Absolute Deviation (MAD)0
Skewness2.6924938
Sum34
Variance4.9111111
MonotonicityNot monotonic
2023-12-11T06:47:54.276785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 29
80.6%
3 3
 
8.3%
6 1
 
2.8%
4 1
 
2.8%
5 1
 
2.8%
10 1
 
2.8%
ValueCountFrequency (%)
0 29
80.6%
3 3
 
8.3%
4 1
 
2.8%
5 1
 
2.8%
6 1
 
2.8%
10 1
 
2.8%
ValueCountFrequency (%)
10 1
 
2.8%
6 1
 
2.8%
5 1
 
2.8%
4 1
 
2.8%
3 3
 
8.3%
0 29
80.6%

장애영아남자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.69444444
Minimum0
Maximum10
Zeros29
Zeros (%)80.6%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:47:54.424645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.25
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.8946458
Coefficient of variation (CV)2.7282899
Kurtosis16.958575
Mean0.69444444
Median Absolute Deviation (MAD)0
Skewness3.8306588
Sum25
Variance3.5896825
MonotonicityNot monotonic
2023-12-11T06:47:54.615031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 29
80.6%
2 2
 
5.6%
3 2
 
5.6%
4 1
 
2.8%
1 1
 
2.8%
10 1
 
2.8%
ValueCountFrequency (%)
0 29
80.6%
1 1
 
2.8%
2 2
 
5.6%
3 2
 
5.6%
4 1
 
2.8%
10 1
 
2.8%
ValueCountFrequency (%)
10 1
 
2.8%
4 1
 
2.8%
3 2
 
5.6%
2 2
 
5.6%
1 1
 
2.8%
0 29
80.6%

장애영아여자수(명)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
31 
2
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row2

Common Values

ValueCountFrequency (%)
0 31
86.1%
2 4
 
11.1%
1 1
 
2.8%

Length

2023-12-11T06:47:54.716755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:47:54.802284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
86.1%
2 4
 
11.1%
1 1
 
2.8%

유치원전체학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct11
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3888889
Minimum0
Maximum18
Zeros22
Zeros (%)61.1%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:47:54.877264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile15.5
Maximum18
Range18
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.5922282
Coefficient of variation (CV)1.6501657
Kurtosis1.2539455
Mean3.3888889
Median Absolute Deviation (MAD)0
Skewness1.603699
Sum122
Variance31.273016
MonotonicityNot monotonic
2023-12-11T06:47:54.982499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 22
61.1%
4 3
 
8.3%
15 2
 
5.6%
3 2
 
5.6%
18 1
 
2.8%
17 1
 
2.8%
13 1
 
2.8%
5 1
 
2.8%
10 1
 
2.8%
9 1
 
2.8%
ValueCountFrequency (%)
0 22
61.1%
2 1
 
2.8%
3 2
 
5.6%
4 3
 
8.3%
5 1
 
2.8%
9 1
 
2.8%
10 1
 
2.8%
13 1
 
2.8%
15 2
 
5.6%
17 1
 
2.8%
ValueCountFrequency (%)
18 1
 
2.8%
17 1
 
2.8%
15 2
5.6%
13 1
 
2.8%
10 1
 
2.8%
9 1
 
2.8%
5 1
 
2.8%
4 3
8.3%
3 2
5.6%
2 1
 
2.8%

유치원남자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct10
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9722222
Minimum0
Maximum12
Zeros22
Zeros (%)61.1%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:47:55.072746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile10.25
Maximum12
Range12
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.3847229
Coefficient of variation (CV)1.7161975
Kurtosis2.8719195
Mean1.9722222
Median Absolute Deviation (MAD)0
Skewness1.9351318
Sum71
Variance11.456349
MonotonicityNot monotonic
2023-12-11T06:47:55.163398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 22
61.1%
3 5
 
13.9%
2 2
 
5.6%
11 1
 
2.8%
10 1
 
2.8%
12 1
 
2.8%
9 1
 
2.8%
4 1
 
2.8%
5 1
 
2.8%
1 1
 
2.8%
ValueCountFrequency (%)
0 22
61.1%
1 1
 
2.8%
2 2
 
5.6%
3 5
 
13.9%
4 1
 
2.8%
5 1
 
2.8%
9 1
 
2.8%
10 1
 
2.8%
11 1
 
2.8%
12 1
 
2.8%
ValueCountFrequency (%)
12 1
 
2.8%
11 1
 
2.8%
10 1
 
2.8%
9 1
 
2.8%
5 1
 
2.8%
4 1
 
2.8%
3 5
 
13.9%
2 2
 
5.6%
1 1
 
2.8%
0 22
61.1%

유치원여자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4166667
Minimum0
Maximum8
Zeros23
Zeros (%)63.9%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:47:55.254548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile7.25
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.5453038
Coefficient of variation (CV)1.796685
Kurtosis1.5034773
Mean1.4166667
Median Absolute Deviation (MAD)0
Skewness1.7152559
Sum51
Variance6.4785714
MonotonicityNot monotonic
2023-12-11T06:47:55.351719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 23
63.9%
1 5
 
13.9%
6 2
 
5.6%
8 2
 
5.6%
4 1
 
2.8%
5 1
 
2.8%
2 1
 
2.8%
7 1
 
2.8%
ValueCountFrequency (%)
0 23
63.9%
1 5
 
13.9%
2 1
 
2.8%
4 1
 
2.8%
5 1
 
2.8%
6 2
 
5.6%
7 1
 
2.8%
8 2
 
5.6%
ValueCountFrequency (%)
8 2
 
5.6%
7 1
 
2.8%
6 2
 
5.6%
5 1
 
2.8%
4 1
 
2.8%
2 1
 
2.8%
1 5
 
13.9%
0 23
63.9%

초등학교전체학생수(명)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
30 
4
 
2
2
 
2
5
 
1
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)5.6%

Sample

1st row0
2nd row4
3rd row5
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 30
83.3%
4 2
 
5.6%
2 2
 
5.6%
5 1
 
2.8%
3 1
 
2.8%

Length

2023-12-11T06:47:55.459284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:47:55.552601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
83.3%
4 2
 
5.6%
2 2
 
5.6%
5 1
 
2.8%
3 1
 
2.8%

초등학교남자학생수(명)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
30 
1
 
3
3
 
2
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

1st row0
2nd row3
3rd row4
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 30
83.3%
1 3
 
8.3%
3 2
 
5.6%
4 1
 
2.8%

Length

2023-12-11T06:47:55.648281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:47:55.735062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
83.3%
1 3
 
8.3%
3 2
 
5.6%
4 1
 
2.8%

초등학교여자학생수(명)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
30 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

1st row0
2nd row1
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 30
83.3%
1 5
 
13.9%
2 1
 
2.8%

Length

2023-12-11T06:47:55.830020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:47:55.917254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
83.3%
1 5
 
13.9%
2 1
 
2.8%

중학교전체학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct7
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8055556
Minimum0
Maximum9
Zeros16
Zeros (%)44.4%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:47:56.001191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q33
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.0951569
Coefficient of variation (CV)1.1603946
Kurtosis2.2927095
Mean1.8055556
Median Absolute Deviation (MAD)1.5
Skewness1.2989101
Sum65
Variance4.3896825
MonotonicityNot monotonic
2023-12-11T06:47:56.097864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 16
44.4%
3 6
 
16.7%
2 5
 
13.9%
4 4
 
11.1%
5 2
 
5.6%
1 2
 
5.6%
9 1
 
2.8%
ValueCountFrequency (%)
0 16
44.4%
1 2
 
5.6%
2 5
 
13.9%
3 6
 
16.7%
4 4
 
11.1%
5 2
 
5.6%
9 1
 
2.8%
ValueCountFrequency (%)
9 1
 
2.8%
5 2
 
5.6%
4 4
 
11.1%
3 6
 
16.7%
2 5
 
13.9%
1 2
 
5.6%
0 16
44.4%

중학교남자학생수(명)
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
22 
3
1
2
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

1st row3
2nd row2
3rd row0
4th row0
5th row3

Common Values

ValueCountFrequency (%)
0 22
61.1%
3 6
 
16.7%
1 4
 
11.1%
2 3
 
8.3%
4 1
 
2.8%

Length

2023-12-11T06:47:56.192600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:47:56.287241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
61.1%
3 6
 
16.7%
1 4
 
11.1%
2 3
 
8.3%
4 1
 
2.8%

중학교여자학생수(명)
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
20 
2
1
3
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

1st row2
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 20
55.6%
2 6
 
16.7%
1 6
 
16.7%
3 3
 
8.3%
5 1
 
2.8%

Length

2023-12-11T06:47:56.391939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:47:56.529942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 20
55.6%
2 6
 
16.7%
1 6
 
16.7%
3 3
 
8.3%
5 1
 
2.8%

고등학교전체학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct12
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.1666667
Minimum0
Maximum16
Zeros16
Zeros (%)44.4%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:47:56.633648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4.5
Q39.5
95-th percentile14
Maximum16
Range16
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation5.4379618
Coefficient of variation (CV)1.0525087
Kurtosis-1.3137857
Mean5.1666667
Median Absolute Deviation (MAD)4.5
Skewness0.4523158
Sum186
Variance29.571429
MonotonicityNot monotonic
2023-12-11T06:47:56.734828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 16
44.4%
8 4
 
11.1%
12 3
 
8.3%
7 2
 
5.6%
14 2
 
5.6%
11 2
 
5.6%
5 2
 
5.6%
2 1
 
2.8%
4 1
 
2.8%
13 1
 
2.8%
Other values (2) 2
 
5.6%
ValueCountFrequency (%)
0 16
44.4%
2 1
 
2.8%
4 1
 
2.8%
5 2
 
5.6%
7 2
 
5.6%
8 4
 
11.1%
9 1
 
2.8%
11 2
 
5.6%
12 3
 
8.3%
13 1
 
2.8%
ValueCountFrequency (%)
16 1
 
2.8%
14 2
5.6%
13 1
 
2.8%
12 3
8.3%
11 2
5.6%
9 1
 
2.8%
8 4
11.1%
7 2
5.6%
5 2
5.6%
4 1
 
2.8%

고등학교남자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5277778
Minimum0
Maximum9
Zeros18
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:47:56.836401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q35
95-th percentile8.25
Maximum9
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.1936196
Coefficient of variation (CV)1.26341
Kurtosis-0.70275119
Mean2.5277778
Median Absolute Deviation (MAD)0.5
Skewness0.90879826
Sum91
Variance10.199206
MonotonicityNot monotonic
2023-12-11T06:47:56.931463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 18
50.0%
5 4
 
11.1%
2 4
 
11.1%
8 3
 
8.3%
3 2
 
5.6%
9 2
 
5.6%
7 2
 
5.6%
1 1
 
2.8%
ValueCountFrequency (%)
0 18
50.0%
1 1
 
2.8%
2 4
 
11.1%
3 2
 
5.6%
5 4
 
11.1%
7 2
 
5.6%
8 3
 
8.3%
9 2
 
5.6%
ValueCountFrequency (%)
9 2
 
5.6%
8 3
 
8.3%
7 2
 
5.6%
5 4
 
11.1%
3 2
 
5.6%
2 4
 
11.1%
1 1
 
2.8%
0 18
50.0%

고등학교여자학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct9
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5833333
Minimum0
Maximum9
Zeros16
Zeros (%)44.4%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T06:47:57.037793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q35
95-th percentile7.25
Maximum9
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.8119642
Coefficient of variation (CV)1.0885023
Kurtosis-0.80508245
Mean2.5833333
Median Absolute Deviation (MAD)2
Skewness0.66606379
Sum93
Variance7.9071429
MonotonicityNot monotonic
2023-12-11T06:47:57.138344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 16
44.4%
2 4
 
11.1%
4 3
 
8.3%
5 3
 
8.3%
3 3
 
8.3%
6 3
 
8.3%
7 2
 
5.6%
8 1
 
2.8%
9 1
 
2.8%
ValueCountFrequency (%)
0 16
44.4%
2 4
 
11.1%
3 3
 
8.3%
4 3
 
8.3%
5 3
 
8.3%
6 3
 
8.3%
7 2
 
5.6%
8 1
 
2.8%
9 1
 
2.8%
ValueCountFrequency (%)
9 1
 
2.8%
8 1
 
2.8%
7 2
 
5.6%
6 3
 
8.3%
5 3
 
8.3%
4 3
 
8.3%
3 3
 
8.3%
2 4
 
11.1%
0 16
44.4%

Interactions

2023-12-11T06:47:51.689374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:40.210973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:41.155542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:42.215992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:43.197841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:44.480026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:45.393459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:46.258024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:47.167684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:48.208077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:49.154161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:49.957332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:50.869133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:51.762489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:40.276156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:41.240882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:42.281765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:43.266495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:44.563484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:45.452004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:46.323630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:47.230698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:48.274565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:49.210817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:50.023745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:50.928424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:51.834208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:40.352702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:41.335360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:42.359719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:43.352310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:44.647546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:45.519891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:46.395332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:47.297940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:48.355948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:49.275996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:50.098341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:50.995600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:51.905912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:40.421344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:41.421620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:42.454354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:43.429360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:44.715574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:45.581008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:46.461930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:47.360844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:48.421237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:49.334327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:50.167687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:51.057656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:51.979603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:40.501842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:41.518624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:42.540986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:43.506388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:44.793949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:45.670562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:46.532806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:47.429519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:48.496778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:49.401021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:50.241592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:51.124318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:52.041316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:40.575443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:41.591176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:42.614522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:43.807699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:44.862108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:45.736940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:46.601563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:47.491777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:48.579527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:49.460203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:50.304846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:51.185948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:52.321638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:40.646295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:41.664461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:42.685856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:43.877540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:44.926131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:45.795774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:46.668076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:47.552903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:48.666097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:49.520166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:50.370414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:51.247122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:52.388907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:40.723566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:41.743185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:42.779202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:43.962483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:44.999409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:45.869329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:46.742195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:47.624459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:48.739856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:49.587097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:50.442397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:51.314423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:52.451456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:40.797053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:41.821881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:42.849507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:44.049441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:45.064885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:45.933736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:46.814781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:47.688394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:48.814454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:49.651568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:50.510206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:51.375950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:52.522868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:40.873491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:41.896580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:42.927618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:44.154749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:45.138276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:46.004366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:46.891452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:47.763335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:48.887722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:49.719559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:50.590349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:51.448118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:52.601933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:40.939788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:41.964129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:42.991557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:44.236274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:45.199059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:46.064027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:46.954831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:47.821083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:48.953013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:49.774151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:50.657398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:51.503818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:52.683871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:41.017819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:42.058774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:43.068244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:44.321658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:45.273889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:46.135462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:47.032600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:47.892266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:49.027714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:49.844889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:50.739133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:51.573247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:52.748316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:41.086771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:42.148146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:43.132109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:44.399401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:45.331880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:46.198188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:47.101527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:48.148145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:49.091612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:49.899406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:50.801440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:47:51.628787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:47:57.222376image/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)
기준년도1.0000.0000.4940.6440.5520.0000.0000.3640.4180.4050.0000.4220.4010.5330.4420.2040.2190.5410.4790.226
순회학급유형명0.0001.0000.7770.8090.8550.6150.6150.6760.4990.4740.4770.0000.0000.1760.6490.5020.6130.7840.7360.725
전체학생수(명)0.4940.7771.0000.8090.6520.5960.6150.6700.6650.7560.6820.4260.5030.5050.4370.6680.5460.6790.8370.654
전체남자학생수(명)0.6440.8090.8091.0000.8070.9080.8920.9050.7960.7250.7150.1590.4790.0000.7440.7510.7190.6510.7030.777
전체여자학생수(명)0.5520.8550.6520.8071.0000.6490.7600.8010.6130.7010.7740.0000.0000.4330.6100.5540.3380.5650.6730.844
장애영아전체수(명)0.0000.6150.5960.9080.6491.0000.9880.9430.7730.8630.8010.0000.0000.0000.7260.7710.7000.7360.5780.569
장애영아남자수(명)0.0000.6150.6150.8920.7600.9881.0000.9560.7160.9090.8020.0000.0000.0000.6760.8050.6890.6810.5990.562
장애영아여자수(명)0.3640.6760.6700.9050.8010.9430.9561.0000.8260.8380.9450.4670.4360.5140.3590.6100.0000.4190.5570.736
유치원전체학생수(명)0.4180.4990.6650.7960.6130.7730.7160.8261.0000.9180.8870.6390.7360.6070.0000.4220.1060.1220.4160.198
유치원남자학생수(명)0.4050.4740.7560.7250.7010.8630.9090.8380.9181.0000.9520.7160.9170.6740.0000.6230.0000.3350.1920.000
유치원여자학생수(명)0.0000.4770.6820.7150.7740.8010.8020.9450.8870.9521.0000.7400.8130.8670.0000.3870.2370.0000.6770.000
초등학교전체학생수(명)0.4220.0000.4260.1590.0000.0000.0000.4670.6390.7160.7401.0001.0001.0000.0000.0000.0000.0000.0000.000
초등학교남자학생수(명)0.4010.0000.5030.4790.0000.0000.0000.4360.7360.9170.8131.0001.0000.7110.0000.0000.0000.0000.0000.000
초등학교여자학생수(명)0.5330.1760.5050.0000.4330.0000.0000.5140.6070.6740.8671.0000.7111.0000.0000.0000.0000.0000.0000.000
중학교전체학생수(명)0.4420.6490.4370.7440.6100.7260.6760.3590.0000.0000.0000.0000.0000.0001.0000.8090.8430.7840.7270.694
중학교남자학생수(명)0.2040.5020.6680.7510.5540.7710.8050.6100.4220.6230.3870.0000.0000.0000.8091.0000.9100.8790.7140.756
중학교여자학생수(명)0.2190.6130.5460.7190.3380.7000.6890.0000.1060.0000.2370.0000.0000.0000.8430.9101.0000.8160.7410.627
고등학교전체학생수(명)0.5410.7840.6790.6510.5650.7360.6810.4190.1220.3350.0000.0000.0000.0000.7840.8790.8161.0000.7820.864
고등학교남자학생수(명)0.4790.7360.8370.7030.6730.5780.5990.5570.4160.1920.6770.0000.0000.0000.7270.7140.7410.7821.0000.861
고등학교여자학생수(명)0.2260.7250.6540.7770.8440.5690.5620.7360.1980.0000.0000.0000.0000.0000.6940.7560.6270.8640.8611.000
2023-12-11T06:47:57.628052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
초등학교남자학생수(명)순회학급유형명중학교여자학생수(명)초등학교여자학생수(명)초등학교전체학생수(명)장애영아여자수(명)중학교남자학생수(명)
초등학교남자학생수(명)1.0000.0000.0000.7390.9840.4210.000
순회학급유형명0.0001.0000.5490.0360.0000.3320.420
중학교여자학생수(명)0.0000.5491.0000.0000.0000.0000.585
초등학교여자학생수(명)0.7390.0360.0001.0000.9690.2080.000
초등학교전체학생수(명)0.9840.0000.0000.9691.0000.3830.000
장애영아여자수(명)0.4210.3320.0000.2080.3831.0000.546
중학교남자학생수(명)0.0000.4200.5850.0000.0000.5461.000
2023-12-11T06:47:57.767150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도전체학생수(명)전체남자학생수(명)전체여자학생수(명)장애영아전체수(명)장애영아남자수(명)유치원전체학생수(명)유치원남자학생수(명)유치원여자학생수(명)중학교전체학생수(명)고등학교전체학생수(명)고등학교남자학생수(명)고등학교여자학생수(명)순회학급유형명장애영아여자수(명)초등학교전체학생수(명)초등학교남자학생수(명)초등학교여자학생수(명)중학교남자학생수(명)중학교여자학생수(명)
기준년도1.0000.0610.0790.0420.1550.1380.4490.4630.389-0.173-0.213-0.163-0.2290.0000.1490.3530.3940.2390.0000.185
전체학생수(명)0.0611.0000.9460.9570.6510.6430.6260.6090.6380.7700.7970.8110.7470.6340.5020.2530.2150.3350.4810.372
전체남자학생수(명)0.0790.9461.0000.8270.6910.6890.6510.6500.6260.7010.7260.7980.6050.4940.5850.1800.3390.0770.4860.491
전체여자학생수(명)0.0420.9570.8271.0000.5430.5260.5910.5560.6380.7580.7640.7270.7860.5130.4530.0000.0000.1740.3270.170
장애영아전체수(명)0.1550.6510.6910.5431.0000.9970.4740.4750.4520.4920.4020.5070.3220.2940.6750.0000.0000.0000.6380.552
장애영아남자수(명)0.1380.6430.6890.5260.9971.0000.4480.4510.4270.4790.4070.5170.3150.2760.6230.0000.0000.0000.6750.529
유치원전체학생수(명)0.4490.6260.6510.5910.4740.4481.0000.9940.9480.1280.2090.2820.1080.3110.7190.4240.5520.4330.1990.000
유치원남자학생수(명)0.4630.6090.6500.5560.4750.4510.9941.0000.9130.1200.2050.2820.0940.3070.7190.5160.5860.5060.4180.000
유치원여자학생수(명)0.3890.6380.6260.6380.4520.4270.9480.9131.0000.1530.2310.2930.1470.3100.8800.5440.4450.7630.2240.116
중학교전체학생수(명)-0.1730.7700.7010.7580.4920.4790.1280.1200.1531.0000.8180.8110.8340.5130.2330.0000.0000.0000.6690.721
고등학교전체학생수(명)-0.2130.7970.7260.7640.4020.4070.2090.2050.2310.8181.0000.9420.9320.5870.2210.0000.0000.0000.3810.316
고등학교남자학생수(명)-0.1630.8110.7980.7270.5070.5170.2820.2820.2930.8110.9421.0000.8070.5810.3830.0000.0000.0000.5130.545
고등학교여자학생수(명)-0.2290.7470.6050.7860.3220.3150.1080.0940.1470.8340.9320.8071.0000.3820.3920.0000.0000.0000.5250.390
순회학급유형명0.0000.6340.4940.5130.2940.2760.3110.3070.3100.5130.5870.5810.3821.0000.3320.0000.0000.0360.4200.549
장애영아여자수(명)0.1490.5020.5850.4530.6750.6230.7190.7190.8800.2330.2210.3830.3920.3321.0000.3830.4210.2080.5460.000
초등학교전체학생수(명)0.3530.2530.1800.0000.0000.0000.4240.5160.5440.0000.0000.0000.0000.0000.3831.0000.9840.9690.0000.000
초등학교남자학생수(명)0.3940.2150.3390.0000.0000.0000.5520.5860.4450.0000.0000.0000.0000.0000.4210.9841.0000.7390.0000.000
초등학교여자학생수(명)0.2390.3350.0770.1740.0000.0000.4330.5060.7630.0000.0000.0000.0000.0360.2080.9690.7391.0000.0000.000
중학교남자학생수(명)0.0000.4810.4860.3270.6380.6750.1990.4180.2240.6690.3810.5130.5250.4200.5460.0000.0000.0001.0000.585
중학교여자학생수(명)0.1850.3720.4910.1700.5520.5290.0000.0000.1160.7210.3160.5450.3900.5490.0000.0000.0000.0000.5851.000

Missing values

2023-12-11T06:47:52.882703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:47:53.109471image/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)
02103시설1266000000000532734
12023가정362610321151144312201284
22023병원862000321541000000
32023시설000000000000000000
42022가정382612642151050003301495
52022병원752000321431000000
62022시설000000000000000000
72021가정35211442218126000523853
82021병원202000000000000202
92021시설642000431211000000
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)
262015병원000000000000000000
272015시설12210000000000312918
282014가정161333300000002111192
292014병원000000000000000000
302014시설26161010100000000945725
312013가정181080000000004311477
322013병원000000000000000000
332012가정2010100000000004311679
342012병원000000000000000000
352012시설1284000000000431853