Overview

Dataset statistics

Number of variables17
Number of observations51
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.6 KiB
Average record size in memory153.6 B

Variable types

Categorical4
Numeric13

Dataset

Description시도,설립별,유치원 학교 수,초등학교 학교 수,중학교 학교 수,고등학교 학교 수,전공과 학교 수,유치원 학급 수,유치원 학생 수,초등학교 학급 수,초등학교 학생 수,중학교 학급 수,중학교 학생 수,고등학교 학급 수,고등학교 학생 수,전공과 학급 수,전공과 학생 수
Author교육부
URLhttps://www.data.go.kr/data/15051021/fileData.do

Alerts

전공과 학교 수 is highly overall correlated with 유치원 학교 수 and 13 other fieldsHigh correlation
전공과 학급 수 is highly overall correlated with 유치원 학교 수 and 12 other fieldsHigh correlation
유치원 학교 수 is highly overall correlated with 초등학교 학교 수 and 12 other fieldsHigh correlation
초등학교 학교 수 is highly overall correlated with 유치원 학교 수 and 13 other fieldsHigh correlation
중학교 학교 수 is highly overall correlated with 유치원 학교 수 and 13 other fieldsHigh correlation
고등학교 학교 수 is highly overall correlated with 유치원 학교 수 and 13 other fieldsHigh correlation
유치원 학급 수 is highly overall correlated with 유치원 학교 수 and 12 other fieldsHigh correlation
유치원 학생 수 is highly overall correlated with 유치원 학교 수 and 12 other fieldsHigh correlation
초등학교 학급 수 is highly overall correlated with 유치원 학교 수 and 13 other fieldsHigh correlation
초등학교 학생 수 is highly overall correlated with 유치원 학교 수 and 13 other fieldsHigh correlation
중학교 학급 수 is highly overall correlated with 유치원 학교 수 and 12 other fieldsHigh correlation
중학교 학생 수 is highly overall correlated with 유치원 학교 수 and 13 other fieldsHigh correlation
고등학교 학급 수 is highly overall correlated with 유치원 학교 수 and 12 other fieldsHigh correlation
고등학교 학생 수 is highly overall correlated with 유치원 학교 수 and 12 other fieldsHigh correlation
전공과 학생 수 is highly overall correlated with 전공과 학교 수 and 1 other fieldsHigh correlation
설립별 is highly overall correlated with 초등학교 학교 수 and 6 other fieldsHigh correlation
전공과 학교 수 is highly imbalanced (66.3%)Imbalance
전공과 학급 수 is highly imbalanced (72.0%)Imbalance
유치원 학교 수 has 29 (56.9%) zerosZeros
초등학교 학교 수 has 18 (35.3%) zerosZeros
중학교 학교 수 has 18 (35.3%) zerosZeros
고등학교 학교 수 has 12 (23.5%) zerosZeros
유치원 학급 수 has 29 (56.9%) zerosZeros
유치원 학생 수 has 29 (56.9%) zerosZeros
초등학교 학급 수 has 18 (35.3%) zerosZeros
초등학교 학생 수 has 18 (35.3%) zerosZeros
중학교 학급 수 has 18 (35.3%) zerosZeros
중학교 학생 수 has 18 (35.3%) zerosZeros
고등학교 학급 수 has 12 (23.5%) zerosZeros
고등학교 학생 수 has 12 (23.5%) zerosZeros
전공과 학생 수 has 46 (90.2%) zerosZeros

Reproduction

Analysis started2023-12-12 18:14:26.184559
Analysis finished2023-12-12 18:14:48.055053
Duration21.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

Distinct17
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size540.0 B
서울
 
3
부산
 
3
대구
 
3
인천
 
3
광주
 
3
Other values (12)
36 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울
2nd row서울
3rd row서울
4th row부산
5th row부산

Common Values

ValueCountFrequency (%)
서울 3
 
5.9%
부산 3
 
5.9%
대구 3
 
5.9%
인천 3
 
5.9%
광주 3
 
5.9%
대전 3
 
5.9%
울산 3
 
5.9%
세종 3
 
5.9%
경기 3
 
5.9%
강원 3
 
5.9%
Other values (7) 21
41.2%

Length

2023-12-13T03:14:48.121443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울 3
 
5.9%
강원 3
 
5.9%
경남 3
 
5.9%
경북 3
 
5.9%
전남 3
 
5.9%
전북 3
 
5.9%
충남 3
 
5.9%
충북 3
 
5.9%
경기 3
 
5.9%
부산 3
 
5.9%
Other values (7) 21
41.2%

설립별
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
국립
17 
공립
17 
사립
17 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국립 17
33.3%
공립 17
33.3%
사립 17
33.3%

Length

2023-12-13T03:14:48.240309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:14:48.350922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국립 17
33.3%
공립 17
33.3%
사립 17
33.3%

유치원 학교 수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct19
Distinct (%)37.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.921569
Minimum0
Maximum165
Zeros29
Zeros (%)56.9%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T03:14:48.443085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q315
95-th percentile36
Maximum165
Range165
Interquartile range (IQR)15

Descriptive statistics

Standard deviation25.714465
Coefficient of variation (CV)2.3544663
Kurtosis26.215549
Mean10.921569
Median Absolute Deviation (MAD)0
Skewness4.6301553
Sum557
Variance661.23373
MonotonicityNot monotonic
2023-12-13T03:14:48.547835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 29
56.9%
1 4
 
7.8%
15 2
 
3.9%
3 1
 
2.0%
4 1
 
2.0%
33 1
 
2.0%
9 1
 
2.0%
30 1
 
2.0%
35 1
 
2.0%
31 1
 
2.0%
Other values (9) 9
 
17.6%
ValueCountFrequency (%)
0 29
56.9%
1 4
 
7.8%
3 1
 
2.0%
4 1
 
2.0%
9 1
 
2.0%
13 1
 
2.0%
15 2
 
3.9%
17 1
 
2.0%
18 1
 
2.0%
19 1
 
2.0%
ValueCountFrequency (%)
165 1
2.0%
57 1
2.0%
37 1
2.0%
35 1
2.0%
33 1
2.0%
32 1
2.0%
31 1
2.0%
30 1
2.0%
20 1
2.0%
19 1
2.0%

초등학교 학교 수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct19
Distinct (%)37.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.980392
Minimum0
Maximum933
Zeros18
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T03:14:48.669916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q3119
95-th percentile301.5
Maximum933
Range933
Interquartile range (IQR)119

Descriptive statistics

Standard deviation162.74796
Coefficient of variation (CV)2.0097206
Kurtosis14.483922
Mean80.980392
Median Absolute Deviation (MAD)1
Skewness3.3078113
Sum4130
Variance26486.9
MonotonicityNot monotonic
2023-12-13T03:14:48.776940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 18
35.3%
1 12
23.5%
2 4
 
7.8%
119 2
 
3.9%
181 1
 
2.0%
54 1
 
2.0%
320 1
 
2.0%
283 1
 
2.0%
229 1
 
2.0%
211 1
 
2.0%
Other values (9) 9
17.6%
ValueCountFrequency (%)
0 18
35.3%
1 12
23.5%
2 4
 
7.8%
27 1
 
2.0%
54 1
 
2.0%
83 1
 
2.0%
119 2
 
3.9%
178 1
 
2.0%
181 1
 
2.0%
204 1
 
2.0%
ValueCountFrequency (%)
933 1
2.0%
414 1
2.0%
320 1
2.0%
283 1
2.0%
280 1
2.0%
263 1
2.0%
229 1
2.0%
212 1
2.0%
211 1
2.0%
204 1
2.0%

중학교 학교 수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct25
Distinct (%)49.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.196078
Minimum0
Maximum399
Zeros18
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T03:14:48.888803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q353.5
95-th percentile122
Maximum399
Range399
Interquartile range (IQR)53.5

Descriptive statistics

Standard deviation68.48212
Coefficient of variation (CV)1.9457315
Kurtosis15.742062
Mean35.196078
Median Absolute Deviation (MAD)2
Skewness3.4896503
Sum1795
Variance4689.8008
MonotonicityNot monotonic
2023-12-13T03:14:49.024191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 18
35.3%
1 7
 
13.7%
2 3
 
5.9%
61 2
 
3.9%
96 1
 
2.0%
24 1
 
2.0%
17 1
 
2.0%
128 1
 
2.0%
18 1
 
2.0%
89 1
 
2.0%
Other values (15) 15
29.4%
ValueCountFrequency (%)
0 18
35.3%
1 7
 
13.7%
2 3
 
5.9%
3 1
 
2.0%
5 1
 
2.0%
9 1
 
2.0%
13 1
 
2.0%
17 1
 
2.0%
18 1
 
2.0%
24 1
 
2.0%
ValueCountFrequency (%)
399 1
2.0%
198 1
2.0%
128 1
2.0%
116 1
2.0%
110 1
2.0%
104 1
2.0%
96 1
2.0%
89 1
2.0%
77 1
2.0%
72 1
2.0%

고등학교 학교 수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct24
Distinct (%)47.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.45098
Minimum0
Maximum267
Zeros12
Zeros (%)23.5%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T03:14:49.155080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q328
95-th percentile70
Maximum267
Range267
Interquartile range (IQR)27

Descriptive statistics

Standard deviation41.37889
Coefficient of variation (CV)2.0233206
Kurtosis25.463024
Mean20.45098
Median Absolute Deviation (MAD)4
Skewness4.5068355
Sum1043
Variance1712.2125
MonotonicityNot monotonic
2023-12-13T03:14:49.281947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 12
23.5%
1 9
17.6%
2 4
 
7.8%
10 2
 
3.9%
7 2
 
3.9%
70 2
 
3.9%
18 2
 
3.9%
4 2
 
3.9%
14 1
 
2.0%
21 1
 
2.0%
Other values (14) 14
27.5%
ValueCountFrequency (%)
0 12
23.5%
1 9
17.6%
2 4
 
7.8%
4 2
 
3.9%
6 1
 
2.0%
7 2
 
3.9%
8 1
 
2.0%
10 2
 
3.9%
14 1
 
2.0%
18 2
 
3.9%
ValueCountFrequency (%)
267 1
2.0%
74 1
2.0%
70 2
3.9%
56 1
2.0%
54 1
2.0%
53 1
2.0%
50 1
2.0%
46 1
2.0%
40 1
2.0%
33 1
2.0%

전공과 학교 수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
0
46 
1
 
4
14
 
1

Length

Max length2
Median length1
Mean length1.0196078
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 46
90.2%
1 4
 
7.8%
14 1
 
2.0%

Length

2023-12-13T03:14:49.401761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:14:49.521667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 46
90.2%
1 4
 
7.8%
14 1
 
2.0%

유치원 학급 수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct16
Distinct (%)31.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.54902
Minimum0
Maximum195
Zeros29
Zeros (%)56.9%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T03:14:49.613754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q317
95-th percentile50.5
Maximum195
Range195
Interquartile range (IQR)17

Descriptive statistics

Standard deviation30.33039
Coefficient of variation (CV)2.4169529
Kurtosis26.642043
Mean12.54902
Median Absolute Deviation (MAD)0
Skewness4.6827872
Sum640
Variance919.93255
MonotonicityNot monotonic
2023-12-13T03:14:49.741979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 29
56.9%
1 4
 
7.8%
17 3
 
5.9%
19 2
 
3.9%
36 2
 
3.9%
20 1
 
2.0%
56 1
 
2.0%
13 1
 
2.0%
39 1
 
2.0%
59 1
 
2.0%
Other values (6) 6
 
11.8%
ValueCountFrequency (%)
0 29
56.9%
1 4
 
7.8%
3 1
 
2.0%
4 1
 
2.0%
10 1
 
2.0%
13 1
 
2.0%
17 3
 
5.9%
19 2
 
3.9%
20 1
 
2.0%
31 1
 
2.0%
ValueCountFrequency (%)
195 1
 
2.0%
59 1
 
2.0%
56 1
 
2.0%
45 1
 
2.0%
39 1
 
2.0%
36 2
3.9%
31 1
 
2.0%
20 1
 
2.0%
19 2
3.9%
17 3
5.9%

유치원 학생 수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct21
Distinct (%)41.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.098039
Minimum0
Maximum694
Zeros29
Zeros (%)56.9%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T03:14:49.872355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q356.5
95-th percentile234
Maximum694
Range694
Interquartile range (IQR)56.5

Descriptive statistics

Standard deviation113.95003
Coefficient of variation (CV)2.3208673
Kurtosis20.628054
Mean49.098039
Median Absolute Deviation (MAD)0
Skewness4.0896239
Sum2504
Variance12984.61
MonotonicityNot monotonic
2023-12-13T03:14:49.991587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 29
56.9%
64 2
 
3.9%
4 2
 
3.9%
81 1
 
2.0%
20 1
 
2.0%
147 1
 
2.0%
36 1
 
2.0%
99 1
 
2.0%
57 1
 
2.0%
213 1
 
2.0%
Other values (11) 11
 
21.6%
ValueCountFrequency (%)
0 29
56.9%
1 1
 
2.0%
4 2
 
3.9%
5 1
 
2.0%
10 1
 
2.0%
20 1
 
2.0%
36 1
 
2.0%
43 1
 
2.0%
56 1
 
2.0%
57 1
 
2.0%
ValueCountFrequency (%)
694 1
2.0%
260 1
2.0%
255 1
2.0%
213 1
2.0%
165 1
2.0%
155 1
2.0%
147 1
2.0%
99 1
2.0%
81 1
2.0%
71 1
2.0%

초등학교 학급 수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct21
Distinct (%)41.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.07843
Minimum0
Maximum1206
Zeros18
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T03:14:50.128806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q3145.5
95-th percentile350
Maximum1206
Range1206
Interquartile range (IQR)145.5

Descriptive statistics

Standard deviation211.59535
Coefficient of variation (CV)2.0933779
Kurtosis15.01385
Mean101.07843
Median Absolute Deviation (MAD)1
Skewness3.457271
Sum5155
Variance44772.594
MonotonicityNot monotonic
2023-12-13T03:14:50.543543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 18
35.3%
1 9
17.6%
2 6
 
11.8%
3 1
 
2.0%
58 1
 
2.0%
382 1
 
2.0%
317 1
 
2.0%
256 1
 
2.0%
222 1
 
2.0%
315 1
 
2.0%
Other values (11) 11
21.6%
ValueCountFrequency (%)
0 18
35.3%
1 9
17.6%
2 6
 
11.8%
3 1
 
2.0%
33 1
 
2.0%
58 1
 
2.0%
118 1
 
2.0%
133 1
 
2.0%
158 1
 
2.0%
204 1
 
2.0%
ValueCountFrequency (%)
1206 1
2.0%
675 1
2.0%
382 1
2.0%
318 1
2.0%
317 1
2.0%
315 1
2.0%
301 1
2.0%
256 1
2.0%
226 1
2.0%
222 1
2.0%

초등학교 학생 수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct30
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean415.52941
Minimum0
Maximum5196
Zeros18
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T03:14:50.672341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q3635.5
95-th percentile1521.5
Maximum5196
Range5196
Interquartile range (IQR)635.5

Descriptive statistics

Standard deviation894.15854
Coefficient of variation (CV)2.1518538
Kurtosis16.583673
Mean415.52941
Median Absolute Deviation (MAD)6
Skewness3.648558
Sum21192
Variance799519.49
MonotonicityNot monotonic
2023-12-13T03:14:50.811423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 18
35.3%
6 3
 
5.9%
5 2
 
3.9%
3 2
 
3.9%
9 1
 
2.0%
239 1
 
2.0%
10 1
 
2.0%
1583 1
 
2.0%
12 1
 
2.0%
1113 1
 
2.0%
Other values (20) 20
39.2%
ValueCountFrequency (%)
0 18
35.3%
1 1
 
2.0%
2 1
 
2.0%
3 2
 
3.9%
4 1
 
2.0%
5 2
 
3.9%
6 3
 
5.9%
7 1
 
2.0%
9 1
 
2.0%
10 1
 
2.0%
ValueCountFrequency (%)
5196 1
2.0%
2805 1
2.0%
1583 1
2.0%
1460 1
2.0%
1295 1
2.0%
1260 1
2.0%
1113 1
2.0%
1015 1
2.0%
853 1
2.0%
840 1
2.0%

중학교 학급 수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct24
Distinct (%)47.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.137255
Minimum0
Maximum623
Zeros18
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T03:14:50.922032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q368
95-th percentile145
Maximum623
Range623
Interquartile range (IQR)68

Descriptive statistics

Standard deviation100.71068
Coefficient of variation (CV)2.1828494
Kurtosis21.931776
Mean46.137255
Median Absolute Deviation (MAD)2
Skewness4.2193247
Sum2353
Variance10142.641
MonotonicityNot monotonic
2023-12-13T03:14:51.041107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 18
35.3%
1 7
 
13.7%
2 3
 
5.9%
19 2
 
3.9%
28 2
 
3.9%
98 1
 
2.0%
116 1
 
2.0%
161 1
 
2.0%
123 1
 
2.0%
114 1
 
2.0%
Other values (14) 14
27.5%
ValueCountFrequency (%)
0 18
35.3%
1 7
 
13.7%
2 3
 
5.9%
3 1
 
2.0%
5 1
 
2.0%
9 1
 
2.0%
15 1
 
2.0%
19 2
 
3.9%
28 2
 
3.9%
54 1
 
2.0%
ValueCountFrequency (%)
623 1
2.0%
287 1
2.0%
161 1
2.0%
129 1
2.0%
128 1
2.0%
123 1
2.0%
116 1
2.0%
114 1
2.0%
98 1
2.0%
93 1
2.0%

중학교 학생 수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct31
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean207.88235
Minimum0
Maximum2829
Zeros18
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T03:14:51.166923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q3317.5
95-th percentile660.5
Maximum2829
Range2829
Interquartile range (IQR)317.5

Descriptive statistics

Standard deviation457.29022
Coefficient of variation (CV)2.1997549
Kurtosis21.97535
Mean207.88235
Median Absolute Deviation (MAD)8
Skewness4.2211332
Sum10602
Variance209114.35
MonotonicityNot monotonic
2023-12-13T03:14:51.276820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 18
35.3%
5 2
 
3.9%
14 2
 
3.9%
2 2
 
3.9%
481 1
 
2.0%
564 1
 
2.0%
32 1
 
2.0%
368 1
 
2.0%
521 1
 
2.0%
11 1
 
2.0%
Other values (21) 21
41.2%
ValueCountFrequency (%)
0 18
35.3%
2 2
 
3.9%
3 1
 
2.0%
4 1
 
2.0%
5 2
 
3.9%
6 1
 
2.0%
8 1
 
2.0%
11 1
 
2.0%
12 1
 
2.0%
14 2
 
3.9%
ValueCountFrequency (%)
2829 1
2.0%
1294 1
2.0%
689 1
2.0%
632 1
2.0%
608 1
2.0%
564 1
2.0%
521 1
2.0%
481 1
2.0%
439 1
2.0%
393 1
2.0%

고등학교 학급 수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct29
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.960784
Minimum0
Maximum544
Zeros12
Zeros (%)23.5%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T03:14:51.423989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q344.5
95-th percentile113.5
Maximum544
Range544
Interquartile range (IQR)43.5

Descriptive statistics

Standard deviation83.933059
Coefficient of variation (CV)2.2708679
Kurtosis27.388242
Mean36.960784
Median Absolute Deviation (MAD)4
Skewness4.7993959
Sum1885
Variance7044.7584
MonotonicityNot monotonic
2023-12-13T03:14:51.591809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 12
23.5%
1 6
 
11.8%
3 4
 
7.8%
2 3
 
5.9%
8 2
 
3.9%
64 1
 
2.0%
107 1
 
2.0%
4 1
 
2.0%
49 1
 
2.0%
73 1
 
2.0%
Other values (19) 19
37.3%
ValueCountFrequency (%)
0 12
23.5%
1 6
11.8%
2 3
 
5.9%
3 4
 
7.8%
4 1
 
2.0%
6 1
 
2.0%
8 2
 
3.9%
10 1
 
2.0%
11 1
 
2.0%
17 1
 
2.0%
ValueCountFrequency (%)
544 1
2.0%
217 1
2.0%
120 1
2.0%
107 1
2.0%
94 1
2.0%
93 1
2.0%
78 1
2.0%
74 1
2.0%
73 1
2.0%
64 1
2.0%

고등학교 학생 수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct36
Distinct (%)70.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean237.88235
Minimum0
Maximum3416
Zeros12
Zeros (%)23.5%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T03:14:51.754727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.5
median25
Q3306.5
95-th percentile693.5
Maximum3416
Range3416
Interquartile range (IQR)303

Descriptive statistics

Standard deviation528.71416
Coefficient of variation (CV)2.2225867
Kurtosis26.791659
Mean237.88235
Median Absolute Deviation (MAD)25
Skewness4.7270818
Sum12132
Variance279538.67
MonotonicityNot monotonic
2023-12-13T03:14:51.937926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 12
23.5%
20 2
 
3.9%
9 2
 
3.9%
16 2
 
3.9%
47 2
 
3.9%
175 1
 
2.0%
740 1
 
2.0%
480 1
 
2.0%
100 1
 
2.0%
25 1
 
2.0%
Other values (26) 26
51.0%
ValueCountFrequency (%)
0 12
23.5%
2 1
 
2.0%
5 1
 
2.0%
6 1
 
2.0%
8 1
 
2.0%
9 2
 
3.9%
10 1
 
2.0%
16 2
 
3.9%
17 1
 
2.0%
20 2
 
3.9%
ValueCountFrequency (%)
3416 1
2.0%
1369 1
2.0%
740 1
2.0%
647 1
2.0%
630 1
2.0%
573 1
2.0%
564 1
2.0%
500 1
2.0%
480 1
2.0%
441 1
2.0%

전공과 학급 수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
0
46 
1
 
2
2
 
1
25
 
1
3
 
1

Length

Max length2
Median length1
Mean length1.0196078
Min length1

Unique

Unique3 ?
Unique (%)5.9%

Sample

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

Common Values

ValueCountFrequency (%)
0 46
90.2%
1 2
 
3.9%
2 1
 
2.0%
25 1
 
2.0%
3 1
 
2.0%

Length

2023-12-13T03:14:52.099409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:14:52.239760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 46
90.2%
1 2
 
3.9%
2 1
 
2.0%
25 1
 
2.0%
3 1
 
2.0%

전공과 학생 수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2156863
Minimum0
Maximum155
Zeros46
Zeros (%)90.2%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T03:14:52.357006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile14
Maximum155
Range155
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.960249
Coefficient of variation (CV)5.2091754
Kurtosis46.948783
Mean4.2156863
Median Absolute Deviation (MAD)0
Skewness6.7478452
Sum215
Variance482.25255
MonotonicityNot monotonic
2023-12-13T03:14:52.512876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 46
90.2%
11 1
 
2.0%
17 1
 
2.0%
10 1
 
2.0%
155 1
 
2.0%
22 1
 
2.0%
ValueCountFrequency (%)
0 46
90.2%
10 1
 
2.0%
11 1
 
2.0%
17 1
 
2.0%
22 1
 
2.0%
155 1
 
2.0%
ValueCountFrequency (%)
155 1
 
2.0%
22 1
 
2.0%
17 1
 
2.0%
11 1
 
2.0%
10 1
 
2.0%
0 46
90.2%

Interactions

2023-12-13T03:14:46.012975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:27.116669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:28.593715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:30.320928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:32.013617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:33.284915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:34.894450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:36.296934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:38.130378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:39.614587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:41.193483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:42.731477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:44.431780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:46.128870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:27.228109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:28.712703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:30.429681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:32.096777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:33.376992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:34.993007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:36.389850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:38.255172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:39.739411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:41.317394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:42.844697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:44.547436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:46.259290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:27.322830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:28.804845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:30.544091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:32.168375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:33.483504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:35.082296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:36.790166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:38.363251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:39.860675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:41.422567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:42.930744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:44.677453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:46.389189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:27.448561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:28.915471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:30.699091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:32.261728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:33.613334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:35.186682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:36.917483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:38.493018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:39.987121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:41.584387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:43.039577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:44.823956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:46.520311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:27.546987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:29.006706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:30.817923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:32.360978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:33.709656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:35.310044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:37.027956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:38.599578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:40.098682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:41.702122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:43.139615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:44.943423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:46.664659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:27.683198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:29.119857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:30.955973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:32.466410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:33.841085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:35.422996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:37.134840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:38.727371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:40.221215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:41.823988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:43.254503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:45.068155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:46.803122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:27.816061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:29.235814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:31.129859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:32.579059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:33.960352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:35.537051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:37.242843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:38.835057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:40.342496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:41.945405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:43.347649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:45.192250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:46.931966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:27.940451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:29.352278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:31.272723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:32.681263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:34.083560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:35.633833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:37.354157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:38.951970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:40.450624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:42.053882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:43.441158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:45.323344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:47.059002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:28.042158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:29.764840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:31.413072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:32.771111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:34.253620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:35.725425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:37.524699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:39.029006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:40.559783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:42.161205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:43.563230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:45.438166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:47.194173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:28.148385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:29.855375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:31.555990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:32.884277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:34.416385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:35.828273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:37.661730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:39.116960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:40.681291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:42.267834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:43.679597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:45.539419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:47.301668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:28.255186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:29.944476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:31.692335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:32.989170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:34.551393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:35.938766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:37.783632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:39.231831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:40.799867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:42.381473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:43.780965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:45.661413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:47.429203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:28.377126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:30.049483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:31.807609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:33.097405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:34.660132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:36.030400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:37.871904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:39.360669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:40.919714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:42.490439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:43.893611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:45.762161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:47.534277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:28.484112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:30.160369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:31.910891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:33.192442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:34.775098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:36.191040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:38.003535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:39.490550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:41.069532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:42.617515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:44.009634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:14:45.890037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:14:52.658092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도설립별유치원 학교 수초등학교 학교 수중학교 학교 수고등학교 학교 수전공과 학교 수유치원 학급 수유치원 학생 수초등학교 학급 수초등학교 학생 수중학교 학급 수중학교 학생 수고등학교 학급 수고등학교 학생 수전공과 학급 수전공과 학생 수
시도1.0000.0000.0000.0000.0000.0000.5180.0000.0000.0000.0000.0000.0000.0000.0000.1670.000
설립별0.0001.0000.5550.8600.8840.5730.3970.4520.4900.8600.8840.6140.6140.5240.5240.0000.417
유치원 학교 수0.0000.5551.0000.8670.8850.8020.7690.9860.9690.8900.8850.9860.9790.9890.9830.8730.765
초등학교 학교 수0.0000.8600.8671.0000.9880.9300.9620.8780.8360.9900.9870.9190.9340.9030.9030.6970.955
중학교 학교 수0.0000.8840.8850.9881.0000.9770.9470.8800.8381.0001.0000.9340.9340.9650.9650.6570.948
고등학교 학교 수0.0000.5730.8020.9300.9771.0000.6920.7920.8320.9600.9880.8370.8960.8240.8240.6940.697
전공과 학교 수0.5180.3970.7690.9620.9470.6921.0000.7230.7300.9500.9460.7490.7330.7580.7581.0000.986
유치원 학급 수0.0000.4520.9860.8780.8800.7920.7231.0000.9760.8810.8800.9800.9800.9800.9800.9070.767
유치원 학생 수0.0000.4900.9690.8360.8380.8320.7300.9761.0000.8430.8340.9430.9430.9600.9450.9160.778
초등학교 학급 수0.0000.8600.8900.9901.0000.9600.9500.8810.8431.0000.9990.9440.9440.9670.9670.6660.949
초등학교 학생 수0.0000.8840.8850.9871.0000.9880.9460.8800.8340.9991.0000.9210.9410.9620.9620.6630.950
중학교 학급 수0.0000.6140.9860.9190.9340.8370.7490.9800.9430.9440.9211.0000.9900.9890.9890.8580.748
중학교 학생 수0.0000.6140.9790.9340.9340.8960.7330.9800.9430.9440.9410.9901.0000.9890.9890.8920.748
고등학교 학급 수0.0000.5240.9890.9030.9650.8240.7580.9800.9600.9670.9620.9890.9891.0000.9990.8640.756
고등학교 학생 수0.0000.5240.9830.9030.9650.8240.7580.9800.9450.9670.9620.9890.9890.9991.0000.8640.756
전공과 학급 수0.1670.0000.8730.6970.6570.6941.0000.9070.9160.6660.6630.8580.8920.8640.8641.0001.000
전공과 학생 수0.0000.4170.7650.9550.9480.6970.9860.7670.7780.9490.9500.7480.7480.7560.7561.0001.000
2023-12-13T03:14:52.882391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립별전공과 학교 수시도전공과 학급 수
설립별1.0000.1420.0000.000
전공과 학교 수0.1421.0000.2660.979
시도0.0000.2661.0000.000
전공과 학급 수0.0000.9790.0001.000
2023-12-13T03:14:53.033178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유치원 학교 수초등학교 학교 수중학교 학교 수고등학교 학교 수유치원 학급 수유치원 학생 수초등학교 학급 수초등학교 학생 수중학교 학급 수중학교 학생 수고등학교 학급 수고등학교 학생 수전공과 학생 수시도설립별전공과 학교 수전공과 학급 수
유치원 학교 수1.0000.8340.8090.7750.9990.9980.8420.8410.8090.8070.7700.7570.3510.0000.4870.7450.506
초등학교 학교 수0.8341.0000.8050.7380.8350.8330.9900.9820.8060.8090.7490.7420.2710.0000.5380.7380.554
중학교 학교 수0.8090.8051.0000.9120.8100.8070.8380.8430.9990.9960.9130.9110.3500.0000.5740.6960.510
고등학교 학교 수0.7750.7380.9121.0000.7780.7780.7760.7790.9110.9060.9900.9880.3630.0000.5760.7180.622
유치원 학급 수0.9990.8350.8100.7781.0000.9990.8430.8430.8100.8090.7730.7600.3710.0000.3740.7100.607
유치원 학생 수0.9980.8330.8070.7780.9991.0000.8410.8410.8070.8060.7720.7590.3690.0000.4130.7070.600
초등학교 학급 수0.8420.9900.8380.7760.8430.8411.0000.9940.8380.8410.7840.7770.2830.0000.5380.7060.520
초등학교 학생 수0.8410.9820.8430.7790.8430.8410.9941.0000.8430.8460.7910.7850.3050.0000.5740.6940.516
중학교 학급 수0.8090.8060.9990.9110.8100.8070.8380.8431.0000.9960.9130.9110.3450.0000.5580.7330.496
중학교 학생 수0.8070.8090.9960.9060.8090.8060.8410.8460.9961.0000.9070.9060.3540.0000.5580.7110.553
고등학교 학급 수0.7700.7490.9130.9900.7730.7720.7840.7910.9130.9071.0000.9980.3730.0000.4510.7450.506
고등학교 학생 수0.7570.7420.9110.9880.7600.7590.7770.7850.9110.9060.9981.0000.3790.0000.4510.7450.506
전공과 학생 수0.3510.2710.3500.3630.3710.3690.2830.3050.3450.3540.3730.3791.0000.0000.1530.8540.979
시도0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.2660.000
설립별0.4870.5380.5740.5760.3740.4130.5380.5740.5580.5580.4510.4510.1530.0001.0000.1420.000
전공과 학교 수0.7450.7380.6960.7180.7100.7070.7060.6940.7330.7110.7450.7450.8540.2660.1421.0000.979
전공과 학급 수0.5060.5540.5100.6220.6070.6000.5200.5160.4960.5530.5060.5060.9790.0000.0000.9791.000

Missing values

2023-12-13T03:14:47.715233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:14:47.953849image/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

시도설립별유치원 학교 수초등학교 학교 수중학교 학교 수고등학교 학교 수전공과 학교 수유치원 학급 수유치원 학생 수초등학교 학급 수초등학교 학생 수중학교 학급 수중학교 학생 수고등학교 학급 수고등학교 학생 수전공과 학급 수전공과 학생 수
0서울국립022100021321132000
1서울공립574141987405926067528052871294217136900
2서울사립0001000000002716800
3부산국립010100014001500
4부산공립20280116540207131812601236087857300
5부산사립00070000000117500
6대구국립021100027181900
7대구공립181787229119642268539843974500111
8대구사립100001400000000
9인천국립010000016000000
시도설립별유치원 학교 수초등학교 학교 수중학교 학교 수고등학교 학교 수전공과 학교 수유치원 학급 수유치원 학생 수초등학교 학급 수초등학교 학생 수중학교 학급 수중학교 학생 수고등학교 학급 수고등학교 학생 수전공과 학급 수전공과 학생 수
41전남사립00320000031432500
42경북국립010000011000000
43경북공립928389460103631711131144817348000
44경북사립01182100021219672917500
45경남국립011100013121900
46경남공립3332012870036147382158316168912074000
47경남사립01171400021019761710000
48제주국립0111000151432000
49제주공립4542410042058239281111812900
50제주사립000000000000000