Overview

Dataset statistics

Number of variables20
Number of observations75
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.0 KiB
Average record size in memory177.8 B

Variable types

Categorical3
Text2
Numeric15

Dataset

Description2023학년도 전주시 관내 초등학교 현황에 대한 데이터로 75개 학교명, 학교주소, 학급수, 학생수 자료를 제공합니다.
URLhttps://www.data.go.kr/data/15041067/fileData.do

Alerts

특수학급수 is highly overall correlated with 4학년 학급수 and 2 other fieldsHigh correlation
지역 is highly overall correlated with 1학년 학급수 and 16 other fieldsHigh correlation
설립 is highly overall correlated with 지역High correlation
1학년 학급수 is highly overall correlated with 2학년 학급수 and 14 other fieldsHigh correlation
2학년 학급수 is highly overall correlated with 1학년 학급수 and 14 other fieldsHigh correlation
3학년 학급수 is highly overall correlated with 1학년 학급수 and 14 other fieldsHigh correlation
4학년 학급수 is highly overall correlated with 1학년 학급수 and 15 other fieldsHigh correlation
5학년 학급수 is highly overall correlated with 1학년 학급수 and 14 other fieldsHigh correlation
6학년 학급수 is highly overall correlated with 1학년 학급수 and 14 other fieldsHigh correlation
소계 is highly overall correlated with 1학년 학급수 and 14 other fieldsHigh correlation
학급수 계 is highly overall correlated with 1학년 학급수 and 14 other fieldsHigh correlation
1학년 학생수 is highly overall correlated with 1학년 학급수 and 14 other fieldsHigh correlation
2학년 학생수 is highly overall correlated with 1학년 학급수 and 14 other fieldsHigh correlation
3학년 학생수 is highly overall correlated with 1학년 학급수 and 14 other fieldsHigh correlation
4학년 학생수 is highly overall correlated with 1학년 학급수 and 15 other fieldsHigh correlation
5학년 학생수 is highly overall correlated with 1학년 학급수 and 14 other fieldsHigh correlation
6학년 학생수 is highly overall correlated with 1학년 학급수 and 14 other fieldsHigh correlation
학생수 계 is highly overall correlated with 1학년 학급수 and 14 other fieldsHigh correlation
지역 is highly imbalanced (82.3%)Imbalance
설립 is highly imbalanced (89.8%)Imbalance
학교명 has unique valuesUnique
주 소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:51:53.968420
Analysis finished2023-12-12 19:52:18.581660
Duration24.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
전주
73 
<NA>
 
2

Length

Max length4
Median length2
Mean length2.0533333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전주
2nd row전주
3rd row전주
4th row전주
5th row전주

Common Values

ValueCountFrequency (%)
전주 73
97.3%
<NA> 2
 
2.7%

Length

2023-12-13T04:52:18.666053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:52:18.795913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전주 73
97.3%
na 2
 
2.7%

설립
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
공립
74 
국립
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
공립 74
98.7%
국립 1
 
1.3%

Length

2023-12-13T04:52:18.923124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:52:19.060127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 74
98.7%
국립 1
 
1.3%

학교명
Text

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
2023-12-13T04:52:19.359904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length5
Mean length5.0133333
Min length3

Characters and Unicode

Total characters376
Distinct characters74
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)100.0%

Sample

1st row전주교대전주부설초
2nd row전주금암초
3rd row전주금평초
4th row전주기린초
5th row전주남초
ValueCountFrequency (%)
전주교대전주부설초 1
 
1.3%
전주오송초 1
 
1.3%
전주전일초 1
 
1.3%
전주전라초 1
 
1.3%
전주장동초 1
 
1.3%
전주자연초 1
 
1.3%
전주인후초 1
 
1.3%
전주인봉초 1
 
1.3%
전주원동초 1
 
1.3%
전주우전초 1
 
1.3%
Other values (65) 65
86.7%
2023-12-13T04:52:19.836254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
79
21.0%
76
20.2%
76
20.2%
7
 
1.9%
6
 
1.6%
6
 
1.6%
5
 
1.3%
5
 
1.3%
4
 
1.1%
4
 
1.1%
Other values (64) 108
28.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 376
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
79
21.0%
76
20.2%
76
20.2%
7
 
1.9%
6
 
1.6%
6
 
1.6%
5
 
1.3%
5
 
1.3%
4
 
1.1%
4
 
1.1%
Other values (64) 108
28.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 376
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
79
21.0%
76
20.2%
76
20.2%
7
 
1.9%
6
 
1.6%
6
 
1.6%
5
 
1.3%
5
 
1.3%
4
 
1.1%
4
 
1.1%
Other values (64) 108
28.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 376
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
79
21.0%
76
20.2%
76
20.2%
7
 
1.9%
6
 
1.6%
6
 
1.6%
5
 
1.3%
5
 
1.3%
4
 
1.1%
4
 
1.1%
Other values (64) 108
28.7%

주 소
Text

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
2023-12-13T04:52:20.239483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length11.133333
Min length9

Characters and Unicode

Total characters835
Distinct characters113
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)100.0%

Sample

1st row완산구 팔달로 74
2nd row덕진구 권삼득로 210
3rd row덕진구 명주3길 16
4th row덕진구 견훤로 260
5th row완산구 장승배기로 376
ValueCountFrequency (%)
완산구 39
 
17.3%
덕진구 36
 
16.0%
30 4
 
1.8%
11 4
 
1.8%
16 4
 
1.8%
견훤왕궁로 2
 
0.9%
무삼지로 2
 
0.9%
천마산로 2
 
0.9%
7 2
 
0.9%
세병로 2
 
0.9%
Other values (122) 128
56.9%
2023-12-13T04:52:20.771754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
150
18.0%
77
 
9.2%
53
 
6.3%
1 51
 
6.1%
46
 
5.5%
39
 
4.7%
38
 
4.6%
38
 
4.6%
22
 
2.6%
2 21
 
2.5%
Other values (103) 300
35.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 491
58.8%
Decimal Number 190
 
22.8%
Space Separator 150
 
18.0%
Dash Punctuation 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
77
15.7%
53
 
10.8%
46
 
9.4%
39
 
7.9%
38
 
7.7%
38
 
7.7%
22
 
4.5%
9
 
1.8%
5
 
1.0%
5
 
1.0%
Other values (91) 159
32.4%
Decimal Number
ValueCountFrequency (%)
1 51
26.8%
2 21
11.1%
3 21
11.1%
0 19
 
10.0%
7 19
 
10.0%
6 17
 
8.9%
9 13
 
6.8%
8 12
 
6.3%
5 11
 
5.8%
4 6
 
3.2%
Space Separator
ValueCountFrequency (%)
150
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 491
58.8%
Common 344
41.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
77
15.7%
53
 
10.8%
46
 
9.4%
39
 
7.9%
38
 
7.7%
38
 
7.7%
22
 
4.5%
9
 
1.8%
5
 
1.0%
5
 
1.0%
Other values (91) 159
32.4%
Common
ValueCountFrequency (%)
150
43.6%
1 51
 
14.8%
2 21
 
6.1%
3 21
 
6.1%
0 19
 
5.5%
7 19
 
5.5%
6 17
 
4.9%
9 13
 
3.8%
8 12
 
3.5%
5 11
 
3.2%
Other values (2) 10
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 491
58.8%
ASCII 344
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
150
43.6%
1 51
 
14.8%
2 21
 
6.1%
3 21
 
6.1%
0 19
 
5.5%
7 19
 
5.5%
6 17
 
4.9%
9 13
 
3.8%
8 12
 
3.5%
5 11
 
3.2%
Other values (2) 10
 
2.9%
Hangul
ValueCountFrequency (%)
77
15.7%
53
 
10.8%
46
 
9.4%
39
 
7.9%
38
 
7.7%
38
 
7.7%
22
 
4.5%
9
 
1.8%
5
 
1.0%
5
 
1.0%
Other values (91) 159
32.4%

1학년 학급수
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.88
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-13T04:52:20.933532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile9.3
Maximum11
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.5572367
Coefficient of variation (CV)0.65908162
Kurtosis0.66591187
Mean3.88
Median Absolute Deviation (MAD)1
Skewness1.0388899
Sum291
Variance6.5394595
MonotonicityNot monotonic
2023-12-13T04:52:21.062341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 14
18.7%
3 13
17.3%
4 13
17.3%
2 12
16.0%
6 7
9.3%
7 5
 
6.7%
5 5
 
6.7%
9 2
 
2.7%
10 2
 
2.7%
11 2
 
2.7%
ValueCountFrequency (%)
1 14
18.7%
2 12
16.0%
3 13
17.3%
4 13
17.3%
5 5
 
6.7%
6 7
9.3%
7 5
 
6.7%
9 2
 
2.7%
10 2
 
2.7%
11 2
 
2.7%
ValueCountFrequency (%)
11 2
 
2.7%
10 2
 
2.7%
9 2
 
2.7%
7 5
 
6.7%
6 7
9.3%
5 5
 
6.7%
4 13
17.3%
3 13
17.3%
2 12
16.0%
1 14
18.7%

2학년 학급수
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5466667
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-13T04:52:21.187317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile10
Maximum12
Range11
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.5589976
Coefficient of variation (CV)0.72152187
Kurtosis2.102852
Mean3.5466667
Median Absolute Deviation (MAD)1
Skewness1.4929936
Sum266
Variance6.5484685
MonotonicityNot monotonic
2023-12-13T04:52:21.306377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2 17
22.7%
3 15
20.0%
1 15
20.0%
5 8
10.7%
6 7
9.3%
4 7
9.3%
10 3
 
4.0%
9 1
 
1.3%
12 1
 
1.3%
11 1
 
1.3%
ValueCountFrequency (%)
1 15
20.0%
2 17
22.7%
3 15
20.0%
4 7
9.3%
5 8
10.7%
6 7
9.3%
9 1
 
1.3%
10 3
 
4.0%
11 1
 
1.3%
12 1
 
1.3%
ValueCountFrequency (%)
12 1
 
1.3%
11 1
 
1.3%
10 3
 
4.0%
9 1
 
1.3%
6 7
9.3%
5 8
10.7%
4 7
9.3%
3 15
20.0%
2 17
22.7%
1 15
20.0%

3학년 학급수
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4666667
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-13T04:52:21.448388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile9
Maximum10
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.3442473
Coefficient of variation (CV)0.67622519
Kurtosis1.3736175
Mean3.4666667
Median Absolute Deviation (MAD)1
Skewness1.323459
Sum260
Variance5.4954955
MonotonicityNot monotonic
2023-12-13T04:52:21.575005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2 17
22.7%
3 16
21.3%
1 14
18.7%
4 10
13.3%
5 6
 
8.0%
6 5
 
6.7%
9 3
 
4.0%
10 3
 
4.0%
7 1
 
1.3%
ValueCountFrequency (%)
1 14
18.7%
2 17
22.7%
3 16
21.3%
4 10
13.3%
5 6
 
8.0%
6 5
 
6.7%
7 1
 
1.3%
9 3
 
4.0%
10 3
 
4.0%
ValueCountFrequency (%)
10 3
 
4.0%
9 3
 
4.0%
7 1
 
1.3%
6 5
 
6.7%
5 6
 
8.0%
4 10
13.3%
3 16
21.3%
2 17
22.7%
1 14
18.7%

4학년 학급수
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6133333
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-13T04:52:21.718151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile9
Maximum11
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.4155651
Coefficient of variation (CV)0.66851434
Kurtosis1.168413
Mean3.6133333
Median Absolute Deviation (MAD)1
Skewness1.2137649
Sum271
Variance5.834955
MonotonicityNot monotonic
2023-12-13T04:52:21.845226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
3 16
21.3%
2 15
20.0%
1 14
18.7%
4 8
10.7%
5 8
10.7%
6 7
9.3%
9 3
 
4.0%
10 2
 
2.7%
7 1
 
1.3%
11 1
 
1.3%
ValueCountFrequency (%)
1 14
18.7%
2 15
20.0%
3 16
21.3%
4 8
10.7%
5 8
10.7%
6 7
9.3%
7 1
 
1.3%
9 3
 
4.0%
10 2
 
2.7%
11 1
 
1.3%
ValueCountFrequency (%)
11 1
 
1.3%
10 2
 
2.7%
9 3
 
4.0%
7 1
 
1.3%
6 7
9.3%
5 8
10.7%
4 8
10.7%
3 16
21.3%
2 15
20.0%
1 14
18.7%

5학년 학급수
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8933333
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-13T04:52:21.949960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile9
Maximum12
Range11
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.5017471
Coefficient of variation (CV)0.64257204
Kurtosis1.1213785
Mean3.8933333
Median Absolute Deviation (MAD)1
Skewness1.1458799
Sum292
Variance6.2587387
MonotonicityNot monotonic
2023-12-13T04:52:22.062196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
3 19
25.3%
1 12
16.0%
2 11
14.7%
4 9
12.0%
5 8
10.7%
6 5
 
6.7%
9 4
 
5.3%
7 4
 
5.3%
12 1
 
1.3%
11 1
 
1.3%
ValueCountFrequency (%)
1 12
16.0%
2 11
14.7%
3 19
25.3%
4 9
12.0%
5 8
10.7%
6 5
 
6.7%
7 4
 
5.3%
8 1
 
1.3%
9 4
 
5.3%
11 1
 
1.3%
ValueCountFrequency (%)
12 1
 
1.3%
11 1
 
1.3%
9 4
 
5.3%
8 1
 
1.3%
7 4
 
5.3%
6 5
 
6.7%
5 8
10.7%
4 9
12.0%
3 19
25.3%
2 11
14.7%

6학년 학급수
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8133333
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-13T04:52:22.174855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile8
Maximum11
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.3635368
Coefficient of variation (CV)0.61980861
Kurtosis0.79628488
Mean3.8133333
Median Absolute Deviation (MAD)1
Skewness1.0052414
Sum286
Variance5.5863063
MonotonicityNot monotonic
2023-12-13T04:52:22.550935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3 15
20.0%
2 13
17.3%
1 12
16.0%
4 11
14.7%
5 10
13.3%
8 5
 
6.7%
7 5
 
6.7%
6 2
 
2.7%
11 2
 
2.7%
ValueCountFrequency (%)
1 12
16.0%
2 13
17.3%
3 15
20.0%
4 11
14.7%
5 10
13.3%
6 2
 
2.7%
7 5
 
6.7%
8 5
 
6.7%
11 2
 
2.7%
ValueCountFrequency (%)
11 2
 
2.7%
8 5
 
6.7%
7 5
 
6.7%
6 2
 
2.7%
5 10
13.3%
4 11
14.7%
3 15
20.0%
2 13
17.3%
1 12
16.0%

소계
Real number (ℝ)

HIGH CORRELATION 

Distinct36
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.213333
Minimum6
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-13T04:52:22.666893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile6
Q112
median19
Q328.5
95-th percentile55.3
Maximum63
Range57
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation14.423417
Coefficient of variation (CV)0.64931349
Kurtosis0.97931631
Mean22.213333
Median Absolute Deviation (MAD)8
Skewness1.1659962
Sum1666
Variance208.03495
MonotonicityNot monotonic
2023-12-13T04:52:22.790059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
6 11
 
14.7%
13 5
 
6.7%
11 4
 
5.3%
18 3
 
4.0%
24 3
 
4.0%
36 3
 
4.0%
16 3
 
4.0%
17 3
 
4.0%
21 3
 
4.0%
12 3
 
4.0%
Other values (26) 34
45.3%
ValueCountFrequency (%)
6 11
14.7%
7 1
 
1.3%
9 1
 
1.3%
10 1
 
1.3%
11 4
 
5.3%
12 3
 
4.0%
13 5
6.7%
14 1
 
1.3%
15 1
 
1.3%
16 3
 
4.0%
ValueCountFrequency (%)
63 1
 
1.3%
61 1
 
1.3%
60 1
 
1.3%
56 1
 
1.3%
55 1
 
1.3%
54 1
 
1.3%
44 1
 
1.3%
38 1
 
1.3%
37 1
 
1.3%
36 3
4.0%

특수학급수
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
1
40 
<NA>
24 
2
11 

Length

Max length4
Median length1
Mean length1.96
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 40
53.3%
<NA> 24
32.0%
2 11
 
14.7%

Length

2023-12-13T04:52:22.925438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:52:23.040895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 40
53.3%
na 24
32.0%
2 11
 
14.7%

학급수 계
Real number (ℝ)

HIGH CORRELATION 

Distinct34
Distinct (%)45.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.04
Minimum6
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-13T04:52:23.147001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile6
Q112.5
median20
Q330
95-th percentile57.3
Maximum64
Range58
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation14.588444
Coefficient of variation (CV)0.633179
Kurtosis0.95242794
Mean23.04
Median Absolute Deviation (MAD)8
Skewness1.1504849
Sum1728
Variance212.8227
MonotonicityNot monotonic
2023-12-13T04:52:23.267358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
7 6
 
8.0%
6 6
 
8.0%
14 6
 
8.0%
17 6
 
8.0%
11 4
 
5.3%
21 3
 
4.0%
26 3
 
4.0%
12 3
 
4.0%
36 3
 
4.0%
27 3
 
4.0%
Other values (24) 32
42.7%
ValueCountFrequency (%)
6 6
8.0%
7 6
8.0%
11 4
5.3%
12 3
4.0%
13 1
 
1.3%
14 6
8.0%
15 1
 
1.3%
16 1
 
1.3%
17 6
8.0%
18 1
 
1.3%
ValueCountFrequency (%)
64 1
 
1.3%
61 2
2.7%
58 1
 
1.3%
57 1
 
1.3%
56 1
 
1.3%
44 1
 
1.3%
39 1
 
1.3%
38 1
 
1.3%
37 2
2.7%
36 3
4.0%

1학년 학생수
Real number (ℝ)

HIGH CORRELATION 

Distinct56
Distinct (%)74.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.853333
Minimum7
Maximum296
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-13T04:52:23.411189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile9
Q129
median60
Q387.5
95-th percentile230.1
Maximum296
Range289
Interquartile range (IQR)58.5

Descriptive statistics

Standard deviation64.5491
Coefficient of variation (CV)0.87401742
Kurtosis3.4207915
Mean73.853333
Median Absolute Deviation (MAD)30
Skewness1.8163571
Sum5539
Variance4166.5863
MonotonicityNot monotonic
2023-12-13T04:52:23.558427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75 3
 
4.0%
14 3
 
4.0%
60 2
 
2.7%
42 2
 
2.7%
125 2
 
2.7%
21 2
 
2.7%
32 2
 
2.7%
45 2
 
2.7%
80 2
 
2.7%
84 2
 
2.7%
Other values (46) 53
70.7%
ValueCountFrequency (%)
7 2
2.7%
8 1
 
1.3%
9 2
2.7%
14 3
4.0%
16 1
 
1.3%
17 2
2.7%
18 1
 
1.3%
19 1
 
1.3%
21 2
2.7%
24 1
 
1.3%
ValueCountFrequency (%)
296 1
1.3%
276 1
1.3%
270 1
1.3%
256 1
1.3%
219 1
1.3%
207 1
1.3%
141 1
1.3%
130 2
2.7%
125 2
2.7%
119 1
1.3%

2학년 학생수
Real number (ℝ)

HIGH CORRELATION 

Distinct63
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.6
Minimum3
Maximum341
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-13T04:52:23.691564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile9
Q138
median66
Q3110
95-th percentile264.3
Maximum341
Range338
Interquartile range (IQR)72

Descriptive statistics

Standard deviation71.363743
Coefficient of variation (CV)0.85363329
Kurtosis3.1508126
Mean83.6
Median Absolute Deviation (MAD)36
Skewness1.72195
Sum6270
Variance5092.7838
MonotonicityNot monotonic
2023-12-13T04:52:23.844520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72 2
 
2.7%
16 2
 
2.7%
20 2
 
2.7%
58 2
 
2.7%
9 2
 
2.7%
38 2
 
2.7%
67 2
 
2.7%
51 2
 
2.7%
40 2
 
2.7%
75 2
 
2.7%
Other values (53) 55
73.3%
ValueCountFrequency (%)
3 1
1.3%
6 1
1.3%
8 1
1.3%
9 2
2.7%
16 2
2.7%
17 1
1.3%
18 1
1.3%
19 1
1.3%
20 2
2.7%
21 1
1.3%
ValueCountFrequency (%)
341 1
1.3%
303 1
1.3%
276 1
1.3%
265 1
1.3%
264 1
1.3%
222 1
1.3%
156 1
1.3%
153 1
1.3%
150 1
1.3%
145 1
1.3%

3학년 학생수
Real number (ℝ)

HIGH CORRELATION 

Distinct64
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.666667
Minimum9
Maximum282
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-13T04:52:23.986941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile11
Q132.5
median63
Q3108
95-th percentile245.5
Maximum282
Range273
Interquartile range (IQR)75.5

Descriptive statistics

Standard deviation66.842359
Coefficient of variation (CV)0.81847786
Kurtosis1.889942
Mean81.666667
Median Absolute Deviation (MAD)36
Skewness1.4785105
Sum6125
Variance4467.9009
MonotonicityNot monotonic
2023-12-13T04:52:24.123996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22 2
 
2.7%
11 2
 
2.7%
29 2
 
2.7%
55 2
 
2.7%
52 2
 
2.7%
9 2
 
2.7%
57 2
 
2.7%
21 2
 
2.7%
31 2
 
2.7%
74 2
 
2.7%
Other values (54) 55
73.3%
ValueCountFrequency (%)
9 2
2.7%
10 1
1.3%
11 2
2.7%
12 1
1.3%
15 1
1.3%
16 1
1.3%
17 1
1.3%
21 2
2.7%
22 2
2.7%
25 1
1.3%
ValueCountFrequency (%)
282 1
1.3%
276 1
1.3%
265 1
1.3%
256 1
1.3%
241 1
1.3%
234 1
1.3%
182 1
1.3%
156 1
1.3%
155 1
1.3%
147 1
1.3%

4학년 학생수
Real number (ℝ)

HIGH CORRELATION 

Distinct64
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.986667
Minimum7
Maximum280
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-13T04:52:24.253553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile10.7
Q133
median66
Q3113.5
95-th percentile234
Maximum280
Range273
Interquartile range (IQR)80.5

Descriptive statistics

Standard deviation66.157979
Coefficient of variation (CV)0.79721215
Kurtosis1.5582799
Mean82.986667
Median Absolute Deviation (MAD)37
Skewness1.3349977
Sum6224
Variance4376.8782
MonotonicityNot monotonic
2023-12-13T04:52:24.394874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
234 2
 
2.7%
49 2
 
2.7%
7 2
 
2.7%
146 2
 
2.7%
43 2
 
2.7%
31 2
 
2.7%
25 2
 
2.7%
96 2
 
2.7%
55 2
 
2.7%
74 2
 
2.7%
Other values (54) 55
73.3%
ValueCountFrequency (%)
7 2
2.7%
9 1
1.3%
10 1
1.3%
11 1
1.3%
12 1
1.3%
14 1
1.3%
15 1
1.3%
16 1
1.3%
17 1
1.3%
20 1
1.3%
ValueCountFrequency (%)
280 1
1.3%
278 1
1.3%
265 1
1.3%
234 2
2.7%
230 1
1.3%
166 1
1.3%
164 1
1.3%
146 2
2.7%
145 1
1.3%
142 1
1.3%

5학년 학생수
Real number (ℝ)

HIGH CORRELATION 

Distinct65
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.146667
Minimum5
Maximum320
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-13T04:52:24.541969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile14.4
Q142.5
median73
Q3121
95-th percentile237
Maximum320
Range315
Interquartile range (IQR)78.5

Descriptive statistics

Standard deviation68.571465
Coefficient of variation (CV)0.74415567
Kurtosis1.5023466
Mean92.146667
Median Absolute Deviation (MAD)37
Skewness1.2324698
Sum6911
Variance4702.0458
MonotonicityNot monotonic
2023-12-13T04:52:24.672370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72 3
 
4.0%
15 3
 
4.0%
89 2
 
2.7%
73 2
 
2.7%
44 2
 
2.7%
56 2
 
2.7%
36 2
 
2.7%
237 2
 
2.7%
48 1
 
1.3%
126 1
 
1.3%
Other values (55) 55
73.3%
ValueCountFrequency (%)
5 1
 
1.3%
10 1
 
1.3%
11 1
 
1.3%
13 1
 
1.3%
15 3
4.0%
16 1
 
1.3%
17 1
 
1.3%
18 1
 
1.3%
22 1
 
1.3%
25 1
 
1.3%
ValueCountFrequency (%)
320 1
1.3%
298 1
1.3%
238 1
1.3%
237 2
2.7%
219 1
1.3%
199 1
1.3%
182 1
1.3%
171 1
1.3%
170 1
1.3%
166 1
1.3%

6학년 학생수
Real number (ℝ)

HIGH CORRELATION 

Distinct64
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.253333
Minimum5
Maximum291
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-13T04:52:24.811141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile11
Q139.5
median78
Q3121
95-th percentile206.4
Maximum291
Range286
Interquartile range (IQR)81.5

Descriptive statistics

Standard deviation64.952185
Coefficient of variation (CV)0.71966522
Kurtosis0.9031708
Mean90.253333
Median Absolute Deviation (MAD)41
Skewness1.0179338
Sum6769
Variance4218.7863
MonotonicityNot monotonic
2023-12-13T04:52:24.963473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
112 3
 
4.0%
57 2
 
2.7%
106 2
 
2.7%
24 2
 
2.7%
85 2
 
2.7%
11 2
 
2.7%
129 2
 
2.7%
198 2
 
2.7%
75 2
 
2.7%
121 2
 
2.7%
Other values (54) 54
72.0%
ValueCountFrequency (%)
5 1
1.3%
7 1
1.3%
9 1
1.3%
11 2
2.7%
12 1
1.3%
15 1
1.3%
16 1
1.3%
19 1
1.3%
20 1
1.3%
24 2
2.7%
ValueCountFrequency (%)
291 1
1.3%
286 1
1.3%
224 1
1.3%
212 1
1.3%
204 1
1.3%
198 2
2.7%
187 1
1.3%
181 1
1.3%
175 1
1.3%
171 1
1.3%

학생수 계
Real number (ℝ)

HIGH CORRELATION 

Distinct71
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean504.50667
Minimum47
Maximum1704
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-13T04:52:25.114107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47
5-th percentile66
Q1223
median417
Q3647.5
95-th percentile1452.2
Maximum1704
Range1657
Interquartile range (IQR)424.5

Descriptive statistics

Standard deviation394.55679
Coefficient of variation (CV)0.78206458
Kurtosis1.6295665
Mean504.50667
Median Absolute Deviation (MAD)211
Skewness1.3615235
Sum37838
Variance155675.06
MonotonicityNot monotonic
2023-12-13T04:52:25.270389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
358 2
 
2.7%
97 2
 
2.7%
66 2
 
2.7%
106 2
 
2.7%
870 1
 
1.3%
260 1
 
1.3%
220 1
 
1.3%
580 1
 
1.3%
1613 1
 
1.3%
865 1
 
1.3%
Other values (61) 61
81.3%
ValueCountFrequency (%)
47 1
1.3%
48 1
1.3%
63 1
1.3%
66 2
2.7%
87 1
1.3%
96 1
1.3%
97 2
2.7%
106 2
2.7%
134 1
1.3%
154 1
1.3%
ValueCountFrequency (%)
1704 1
1.3%
1613 1
1.3%
1561 1
1.3%
1462 1
1.3%
1448 1
1.3%
1412 1
1.3%
1060 1
1.3%
949 1
1.3%
870 1
1.3%
865 1
1.3%

Interactions

2023-12-13T04:52:16.602382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:51:54.832131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:51:56.160177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:51:57.572781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:51:58.995431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:52:00.962790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:52:02.479652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:52:03.910029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:52:05.244047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:52:06.540892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:52:08.413032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:52:10.027421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:52:11.456530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:52:13.110491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:52:15.087471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:52:16.685082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:51:54.915420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:51:56.244340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:51:57.664146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:51:59.079898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:52:01.071911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:52:02.563389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:52:03.986003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:52:05.328955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:52:06.645170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:52:08.505326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2023-12-13T04:52:16.499037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:52:25.421018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립학교명주 소1학년 학급수2학년 학급수3학년 학급수4학년 학급수5학년 학급수6학년 학급수소계특수학급수학급수 계1학년 학생수2학년 학생수3학년 학생수4학년 학생수5학년 학생수6학년 학생수학생수 계
설립1.0001.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
학교명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
주 소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
1학년 학급수0.0001.0001.0001.0000.8220.9320.9390.9410.9380.9400.2800.9510.9780.9490.9350.8530.9370.9220.940
2학년 학급수0.0001.0001.0000.8221.0000.8510.8950.8300.8340.9160.4520.9270.8940.9450.8410.9700.8330.7970.894
3학년 학급수0.0001.0001.0000.9320.8511.0000.9710.9150.9300.9760.4290.9770.9320.9630.9800.8340.9520.9380.976
4학년 학급수0.0001.0001.0000.9390.8950.9711.0000.9440.9460.9790.4960.9830.9600.9610.9690.8930.9640.9560.981
5학년 학급수0.0001.0001.0000.9410.8300.9150.9441.0000.9710.9570.2330.9540.9310.9330.9290.8400.9790.9590.956
6학년 학급수0.0001.0001.0000.9380.8340.9300.9460.9711.0000.9540.2820.9470.9140.9180.9210.8190.9690.9800.945
소계0.0001.0001.0000.9400.9160.9760.9790.9570.9541.0000.6530.9980.9480.9660.9670.9230.9670.9500.994
특수학급수0.0001.0001.0000.2800.4520.4290.4960.2330.2820.6531.0000.6260.4450.4370.2210.7300.2220.0760.538
학급수 계0.0001.0001.0000.9510.9270.9770.9830.9540.9470.9980.6261.0000.9530.9680.9690.9210.9670.9460.995
1학년 학생수0.0001.0001.0000.9780.8940.9320.9600.9310.9140.9480.4450.9531.0000.9730.9580.8810.9410.9240.956
2학년 학생수0.0001.0001.0000.9490.9450.9630.9610.9330.9180.9660.4370.9680.9731.0000.9400.8810.9340.9210.954
3학년 학생수0.0001.0001.0000.9350.8410.9800.9690.9290.9210.9670.2210.9690.9580.9401.0000.8550.9430.9320.975
4학년 학생수0.0001.0001.0000.8530.9700.8340.8930.8400.8190.9230.7300.9210.8810.8810.8551.0000.8690.8070.912
5학년 학생수0.0001.0001.0000.9370.8330.9520.9640.9790.9690.9670.2220.9670.9410.9340.9430.8691.0000.9660.979
6학년 학생수0.0001.0001.0000.9220.7970.9380.9560.9590.9800.9500.0760.9460.9240.9210.9320.8070.9661.0000.958
학생수 계0.0001.0001.0000.9400.8940.9760.9810.9560.9450.9940.5380.9950.9560.9540.9750.9120.9790.9581.000
2023-12-13T04:52:25.603048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
특수학급수지역설립
특수학급수1.0001.0000.000
지역1.0001.0001.000
설립0.0001.0001.000
2023-12-13T04:52:25.712997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
1학년 학급수2학년 학급수3학년 학급수4학년 학급수5학년 학급수6학년 학급수소계학급수 계1학년 학생수2학년 학생수3학년 학생수4학년 학생수5학년 학생수6학년 학생수학생수 계지역설립특수학급수
1학년 학급수1.0000.9550.9530.9550.9430.9230.9730.9740.9870.9720.9570.9610.9500.9270.9671.0000.0000.246
2학년 학급수0.9551.0000.9520.9610.9520.9390.9780.9770.9610.9830.9530.9610.9490.9430.9711.0000.0000.457
3학년 학급수0.9530.9521.0000.9610.9510.9450.9790.9780.9610.9650.9830.9560.9550.9520.9731.0000.0000.298
4학년 학급수0.9550.9610.9611.0000.9630.9460.9830.9810.9670.9770.9640.9850.9680.9590.9811.0000.0000.625
5학년 학급수0.9430.9520.9510.9631.0000.9630.9820.9790.9490.9600.9590.9570.9840.9610.9771.0000.0000.208
6학년 학급수0.9230.9390.9450.9460.9631.0000.9740.9680.9340.9480.9460.9470.9690.9870.9681.0000.0000.254
소계0.9730.9780.9790.9830.9820.9741.0000.9970.9790.9870.9800.9810.9830.9750.9941.0000.0000.462
학급수 계0.9740.9770.9780.9810.9790.9680.9971.0000.9770.9860.9790.9780.9790.9700.9911.0000.0000.493
1학년 학생수0.9870.9610.9610.9670.9490.9340.9790.9771.0000.9800.9660.9730.9620.9410.9801.0000.0000.310
2학년 학생수0.9720.9830.9650.9770.9600.9480.9870.9860.9801.0000.9720.9800.9670.9550.9881.0000.0000.304
3학년 학생수0.9570.9530.9830.9640.9590.9460.9800.9790.9660.9721.0000.9710.9680.9530.9841.0000.0000.147
4학년 학생수0.9610.9610.9560.9850.9570.9470.9810.9780.9730.9800.9711.0000.9740.9630.9871.0000.0000.522
5학년 학생수0.9500.9490.9550.9680.9840.9690.9830.9790.9620.9670.9680.9741.0000.9730.9881.0000.0000.198
6학년 학생수0.9270.9430.9520.9590.9610.9870.9750.9700.9410.9550.9530.9630.9731.0000.9771.0000.0000.042
학생수 계0.9670.9710.9730.9810.9770.9680.9940.9910.9800.9880.9840.9870.9880.9771.0001.0000.0000.377
지역1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
설립0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0001.0000.000
특수학급수0.2460.4570.2980.6250.2080.2540.4620.4930.3100.3040.1470.5220.1980.0420.3771.0000.0001.000

Missing values

2023-12-13T04:52:18.195492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:52:18.472972image/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

지역설립학교명주 소1학년 학급수2학년 학급수3학년 학급수4학년 학급수5학년 학급수6학년 학급수소계특수학급수학급수 계1학년 학생수2학년 학생수3학년 학생수4학년 학생수5학년 학생수6학년 학생수학생수 계
0전주국립전주교대전주부설초완산구 팔달로 7433333318119607272727270418
1전주공립전주금암초덕진구 권삼득로 21021222211112322831315540217
2전주공립전주금평초덕진구 명주3길 1622222111112384343412924218
3전주공립전주기린초덕진구 견훤로 26043334421122777555649285448
4전주공립전주남초완산구 장승배기로 37622223314115304652496569311
5전주공립전주대성초완산구 고덕산1길 201111116<NA>6969751147
6전주공립전주대정초완산구 맏내로 5776566535<NA>35130145118146156129824
7전주공립전주덕일초덕진구 하가로 7122223213114243341355241226
8전주공립전주덕진초덕진구 들사평로 611111116<NA>618821211820106
9전주공립전주동초완산구 물왕멀로 7222222212214374234313653233
지역설립학교명주 소1학년 학급수2학년 학급수3학년 학급수4학년 학급수5학년 학급수6학년 학급수소계특수학급수학급수 계1학년 학생수2학년 학생수3학년 학생수4학년 학생수5학년 학생수6학년 학생수학생수 계
65전주공립전주풍남초완산구 견훤왕궁로 162111229211252025204032162
66전주공립전주하가초덕진구 경동로 1176666435136125153156146163106849
67전주공립전주한들초완산구 화산천변8길 1075467736<NA>36130135111145171165857
68전주공립전주홍산초완산구 마전들로 3033223316117445851485957317
69전주공립전주화산초완산구 따박골7길 2076655635136141141143128139142834
70전주공립전주화정초덕진구 세병로 55101110101111631642763032762652982861704
71전주공립전주효림초완산구 강변로 12833233317<NA>17485948667475370
72전주공립전주효문초완산구 거마평로 10522223213114284050295637240
73전주공립전주효자초완산구 송정로 471111127<NA>7171922252229134
74<NA>공립전주효천초완산구 효천중앙로 3111109988552572962652562341991981448