Overview

Dataset statistics

Number of variables13
Number of observations68
Missing cells34
Missing cells (%)3.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.5 KiB
Average record size in memory112.9 B

Variable types

Categorical5
Text1
Numeric7

Dataset

Description강원특별자치도교육청의 학교 기숙사 운영 현황입니다. 학교명, 설립별, 급별, 입사생 정원, 현원 자료를 제공합니다.
URLhttps://www.data.go.kr/data/15117213/fileData.do

Alerts

입사생수(정원)-계 is highly overall correlated with 입사생수(정원)-남 and 4 other fieldsHigh correlation
입사생수(정원)-남 is highly overall correlated with 입사생수(정원)-계 and 2 other fieldsHigh correlation
입사생수(정원)-여 is highly overall correlated with 입사생수(정원)-계 and 2 other fieldsHigh correlation
입사생수(현원)-계 is highly overall correlated with 입사생수(정원)-계 and 4 other fieldsHigh correlation
입사생수(현원)-남 is highly overall correlated with 입사생수(정원)-계 and 2 other fieldsHigh correlation
입사생수(현원)-여 is highly overall correlated with 입사생수(정원)-계 and 2 other fieldsHigh correlation
급별 is highly overall correlated with 유형별High correlation
유형별 is highly overall correlated with 급별 and 1 other fieldsHigh correlation
학생모집단위 is highly overall correlated with 유형별High correlation
급별 is highly imbalanced (73.0%)Imbalance
입사생수(정원)-남 has 5 (7.4%) missing valuesMissing
입사생수(정원)-여 has 9 (13.2%) missing valuesMissing
입사생수(현원)-남 has 8 (11.8%) missing valuesMissing
입사생수(현원)-여 has 12 (17.6%) missing valuesMissing
학교명 has unique valuesUnique
전체학생수 has 1 (1.5%) zerosZeros
입사생수(정원)-남 has 2 (2.9%) zerosZeros
입사생수(정원)-여 has 4 (5.9%) zerosZeros
입사생수(현원)-계 has 3 (4.4%) zerosZeros
입사생수(현원)-남 has 2 (2.9%) zerosZeros
입사생수(현원)-여 has 3 (4.4%) zerosZeros

Reproduction

Analysis started2023-12-12 04:28:30.991509
Analysis finished2023-12-12 04:28:37.662610
Duration6.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Categorical

Distinct17
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size676.0 B
홍천
9 
춘천
8 
정선
6 
원주
5 
횡성
4 
Other values (12)
36 

Length

Max length4
Median length2
Mean length2.0588235
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
홍천 9
13.2%
춘천 8
11.8%
정선 6
 
8.8%
원주 5
 
7.4%
횡성 4
 
5.9%
태백 4
 
5.9%
동해 4
 
5.9%
영월 4
 
5.9%
평창 4
 
5.9%
삼척 3
 
4.4%
Other values (7) 17
25.0%

Length

2023-12-12T13:28:37.774793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
홍천 9
13.2%
춘천 8
11.8%
정선 6
 
8.8%
원주 5
 
7.4%
동해 4
 
5.9%
영월 4
 
5.9%
평창 4
 
5.9%
태백 4
 
5.9%
횡성 4
 
5.9%
삼척 3
 
4.4%
Other values (7) 17
25.0%

학교명
Text

UNIQUE 

Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size676.0 B
2023-12-12T13:28:38.071605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length7.1617647
Min length4

Characters and Unicode

Total characters487
Distinct characters107
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

Unique68 ?
Unique (%)100.0%

Sample

1st row강원체육중학교
2nd row가정중학교
3rd row전인고등학교
4th row강원생명과학고등학교
5th row춘천기계공업고등학교
ValueCountFrequency (%)
강원체육중학교 1
 
1.5%
영월고등학교 1
 
1.5%
홍천농업고등학교 1
 
1.5%
횡성고등학교 1
 
1.5%
횡성여자고등학교 1
 
1.5%
현천고등학교 1
 
1.5%
민족사관고등학교 1
 
1.5%
가정중학교 1
 
1.5%
한국소방마이스터고등학교 1
 
1.5%
강원과학고등학교 1
 
1.5%
Other values (58) 58
85.3%
2023-12-12T13:28:38.614628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 71
14.6%
교 67
 
13.8%
고 64
 
13.1%
등 62
 
12.7%
원 15
 
3.1%
강 10
 
2.1%
천 9
 
1.8%
업 7
 
1.4%
자 6
 
1.2%
정 6
 
1.2%
Other values (97) 170
34.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 487
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 71
14.6%
교 67
 
13.8%
고 64
 
13.1%
등 62
 
12.7%
원 15
 
3.1%
강 10
 
2.1%
천 9
 
1.8%
업 7
 
1.4%
자 6
 
1.2%
정 6
 
1.2%
Other values (97) 170
34.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 487
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 71
14.6%
교 67
 
13.8%
고 64
 
13.1%
등 62
 
12.7%
원 15
 
3.1%
강 10
 
2.1%
천 9
 
1.8%
업 7
 
1.4%
자 6
 
1.2%
정 6
 
1.2%
Other values (97) 170
34.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 487
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 71
14.6%
교 67
 
13.8%
고 64
 
13.1%
등 62
 
12.7%
원 15
 
3.1%
강 10
 
2.1%
천 9
 
1.8%
업 7
 
1.4%
자 6
 
1.2%
정 6
 
1.2%
Other values (97) 170
34.9%

설립별
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
공립
57 
사립
11 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공립 57
83.8%
사립 11
 
16.2%

Length

2023-12-12T13:28:38.814732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:28:38.935162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 57
83.8%
사립 11
 
16.2%

급별
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
고
62 
중
 
4
특
 
1
초
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)2.9%

Sample

1st row중
2nd row중
3rd row고
4th row고
5th row고

Common Values

ValueCountFrequency (%)
고 62
91.2%
중 4
 
5.9%
특 1
 
1.5%
초 1
 
1.5%

Length

2023-12-12T13:28:39.054286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:28:39.189189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고 62
91.2%
중 4
 
5.9%
특 1
 
1.5%
초 1
 
1.5%

유형별
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size676.0 B
일반고
20 
기숙형고
18 
특성화고
11 
대안학교
7 
특수목적고
7 
Other values (4)
5 

Length

Max length5
Median length4
Mean length3.7647059
Min length3

Unique

Unique3 ?
Unique (%)4.4%

Sample

1st row특성화중
2nd row대안학교
3rd row대안학교
4th row특성화고
5th row특성화고

Common Values

ValueCountFrequency (%)
일반고 20
29.4%
기숙형고 18
26.5%
특성화고 11
16.2%
대안학교 7
 
10.3%
특수목적고 7
 
10.3%
특수지 2
 
2.9%
특성화중 1
 
1.5%
특수학교 1
 
1.5%
자사고 1
 
1.5%

Length

2023-12-12T13:28:39.352257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:28:39.523890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반고 20
29.4%
기숙형고 18
26.5%
특성화고 11
16.2%
대안학교 7
 
10.3%
특수목적고 7
 
10.3%
특수지 2
 
2.9%
특성화중 1
 
1.5%
특수학교 1
 
1.5%
자사고 1
 
1.5%

전체학생수
Real number (ℝ)

ZEROS 

Distinct62
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean228.04412
Minimum0
Maximum751
Zeros1
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-12T13:28:39.740155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile48.8
Q1101
median187
Q3305.75
95-th percentile563.25
Maximum751
Range751
Interquartile range (IQR)204.75

Descriptive statistics

Standard deviation164.62816
Coefficient of variation (CV)0.72191364
Kurtosis0.7849984
Mean228.04412
Median Absolute Deviation (MAD)94.5
Skewness1.1362885
Sum15507
Variance27102.431
MonotonicityNot monotonic
2023-12-12T13:28:39.911053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
271 2
 
2.9%
168 2
 
2.9%
54 2
 
2.9%
90 2
 
2.9%
215 2
 
2.9%
76 2
 
2.9%
91 1
 
1.5%
147 1
 
1.5%
203 1
 
1.5%
92 1
 
1.5%
Other values (52) 52
76.5%
ValueCountFrequency (%)
0 1
1.5%
22 1
1.5%
36 1
1.5%
46 1
1.5%
54 2
2.9%
56 1
1.5%
76 2
2.9%
85 1
1.5%
87 1
1.5%
90 2
2.9%
ValueCountFrequency (%)
751 1
1.5%
607 1
1.5%
601 1
1.5%
572 1
1.5%
547 1
1.5%
516 1
1.5%
469 1
1.5%
467 1
1.5%
463 1
1.5%
453 1
1.5%

학생모집단위
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
강원
37 
전국
31 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전국
2nd row강원
3rd row전국
4th row전국
5th row전국

Common Values

ValueCountFrequency (%)
강원 37
54.4%
전국 31
45.6%

Length

2023-12-12T13:28:40.094251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:28:40.246384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원 37
54.4%
전국 31
45.6%

입사생수(정원)-계
Real number (ℝ)

HIGH CORRELATION 

Distinct38
Distinct (%)55.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.69118
Minimum20
Maximum480
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-12T13:28:40.378981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile32.7
Q151
median81
Q3120
95-th percentile261
Maximum480
Range460
Interquartile range (IQR)69

Descriptive statistics

Standard deviation84.338383
Coefficient of variation (CV)0.80559209
Kurtosis7.31279
Mean104.69118
Median Absolute Deviation (MAD)33
Skewness2.4641456
Sum7119
Variance7112.9629
MonotonicityNot monotonic
2023-12-12T13:28:40.578613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
100 6
 
8.8%
120 5
 
7.4%
40 4
 
5.9%
60 4
 
5.9%
48 3
 
4.4%
108 3
 
4.4%
80 3
 
4.4%
72 3
 
4.4%
96 2
 
2.9%
104 2
 
2.9%
Other values (28) 33
48.5%
ValueCountFrequency (%)
20 1
 
1.5%
30 1
 
1.5%
32 2
2.9%
34 2
2.9%
35 1
 
1.5%
36 2
2.9%
40 4
5.9%
44 1
 
1.5%
48 3
4.4%
52 1
 
1.5%
ValueCountFrequency (%)
480 1
1.5%
400 1
1.5%
340 1
1.5%
268 1
1.5%
248 1
1.5%
226 1
1.5%
183 1
1.5%
180 1
1.5%
168 2
2.9%
165 1
1.5%

입사생수(정원)-남
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct39
Distinct (%)61.9%
Missing5
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean63.079365
Minimum0
Maximum260
Zeros2
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-12T13:28:40.722955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.2
Q130
median44
Q381
95-th percentile180.4
Maximum260
Range260
Interquartile range (IQR)51

Descriptive statistics

Standard deviation55.365152
Coefficient of variation (CV)0.87770623
Kurtosis2.5696123
Mean63.079365
Median Absolute Deviation (MAD)18
Skewness1.6418059
Sum3974
Variance3065.3001
MonotonicityNot monotonic
2023-12-12T13:28:40.862075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
40 5
 
7.4%
36 4
 
5.9%
16 3
 
4.4%
50 3
 
4.4%
32 3
 
4.4%
30 3
 
4.4%
52 2
 
2.9%
100 2
 
2.9%
60 2
 
2.9%
120 2
 
2.9%
Other values (29) 34
50.0%
(Missing) 5
 
7.4%
ValueCountFrequency (%)
0 2
2.9%
8 1
 
1.5%
10 1
 
1.5%
12 1
 
1.5%
15 1
 
1.5%
16 3
4.4%
18 2
2.9%
20 1
 
1.5%
22 1
 
1.5%
26 1
 
1.5%
ValueCountFrequency (%)
260 1
1.5%
220 1
1.5%
204 1
1.5%
184 1
1.5%
148 1
1.5%
145 1
1.5%
140 1
1.5%
132 1
1.5%
126 1
1.5%
120 2
2.9%

입사생수(정원)-여
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct38
Distinct (%)64.4%
Missing9
Missing (%)13.2%
Infinite0
Infinite (%)0.0%
Mean53.305085
Minimum0
Maximum255
Zeros4
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-12T13:28:41.048313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120
median40
Q360.5
95-th percentile162.6
Maximum255
Range255
Interquartile range (IQR)40.5

Descriptive statistics

Standard deviation52.446115
Coefficient of variation (CV)0.98388578
Kurtosis4.6061885
Mean53.305085
Median Absolute Deviation (MAD)20
Skewness2.0633915
Sum3145
Variance2750.595
MonotonicityNot monotonic
2023-12-12T13:28:41.207853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 4
 
5.9%
40 4
 
5.9%
50 3
 
4.4%
60 3
 
4.4%
36 2
 
2.9%
18 2
 
2.9%
64 2
 
2.9%
26 2
 
2.9%
10 2
 
2.9%
28 2
 
2.9%
Other values (28) 33
48.5%
(Missing) 9
 
13.2%
ValueCountFrequency (%)
0 4
5.9%
4 1
 
1.5%
10 2
2.9%
12 1
 
1.5%
15 1
 
1.5%
16 2
2.9%
18 2
2.9%
19 1
 
1.5%
20 2
2.9%
24 1
 
1.5%
ValueCountFrequency (%)
255 1
1.5%
220 1
1.5%
186 1
1.5%
160 1
1.5%
150 1
1.5%
120 2
2.9%
108 1
1.5%
100 1
1.5%
80 1
1.5%
70 1
1.5%

입사생수(현원)-계
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct51
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.455882
Minimum0
Maximum453
Zeros3
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-12T13:28:41.385415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.7
Q125
median41
Q378.5
95-th percentile195.8
Maximum453
Range453
Interquartile range (IQR)53.5

Descriptive statistics

Standard deviation74.277301
Coefficient of variation (CV)1.1011241
Kurtosis10.903905
Mean67.455882
Median Absolute Deviation (MAD)19
Skewness2.887913
Sum4587
Variance5517.1174
MonotonicityNot monotonic
2023-12-12T13:28:41.543145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25 5
 
7.4%
20 3
 
4.4%
32 3
 
4.4%
0 3
 
4.4%
38 3
 
4.4%
44 2
 
2.9%
16 2
 
2.9%
39 2
 
2.9%
41 2
 
2.9%
47 2
 
2.9%
Other values (41) 41
60.3%
ValueCountFrequency (%)
0 3
4.4%
11 1
 
1.5%
13 1
 
1.5%
16 2
 
2.9%
20 3
4.4%
21 1
 
1.5%
22 1
 
1.5%
23 1
 
1.5%
25 5
7.4%
27 1
 
1.5%
ValueCountFrequency (%)
453 1
1.5%
288 1
1.5%
230 1
1.5%
200 1
1.5%
188 1
1.5%
174 1
1.5%
165 1
1.5%
163 1
1.5%
133 1
1.5%
124 1
1.5%

입사생수(현원)-남
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct44
Distinct (%)73.3%
Missing8
Missing (%)11.8%
Infinite0
Infinite (%)0.0%
Mean42.3
Minimum0
Maximum247
Zeros2
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-12T13:28:41.734919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.95
Q113
median28.5
Q350.25
95-th percentile144.05
Maximum247
Range247
Interquartile range (IQR)37.25

Descriptive statistics

Standard deviation46.364547
Coefficient of variation (CV)1.0960886
Kurtosis6.2451013
Mean42.3
Median Absolute Deviation (MAD)16.5
Skewness2.3191146
Sum2538
Variance2149.6712
MonotonicityNot monotonic
2023-12-12T13:28:41.915195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
18 3
 
4.4%
13 3
 
4.4%
8 3
 
4.4%
0 2
 
2.9%
31 2
 
2.9%
21 2
 
2.9%
11 2
 
2.9%
36 2
 
2.9%
29 2
 
2.9%
28 2
 
2.9%
Other values (34) 37
54.4%
(Missing) 8
 
11.8%
ValueCountFrequency (%)
0 2
2.9%
5 1
 
1.5%
6 1
 
1.5%
7 1
 
1.5%
8 3
4.4%
9 1
 
1.5%
10 1
 
1.5%
11 2
2.9%
12 1
 
1.5%
13 3
4.4%
ValueCountFrequency (%)
247 1
1.5%
153 1
1.5%
145 1
1.5%
144 1
1.5%
136 1
1.5%
132 1
1.5%
109 1
1.5%
78 1
1.5%
71 1
1.5%
68 1
1.5%

입사생수(현원)-여
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct35
Distinct (%)62.5%
Missing12
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean36.589286
Minimum0
Maximum206
Zeros3
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-12T13:28:42.423592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.75
Q115.75
median21.5
Q341
95-th percentile115.25
Maximum206
Range206
Interquartile range (IQR)25.25

Descriptive statistics

Standard deviation41.682251
Coefficient of variation (CV)1.1391928
Kurtosis6.4968148
Mean36.589286
Median Absolute Deviation (MAD)12
Skewness2.4445117
Sum2049
Variance1737.4101
MonotonicityNot monotonic
2023-12-12T13:28:42.585426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
20 5
 
7.4%
25 4
 
5.9%
0 3
 
4.4%
8 3
 
4.4%
16 3
 
4.4%
27 3
 
4.4%
68 2
 
2.9%
18 2
 
2.9%
5 2
 
2.9%
7 2
 
2.9%
Other values (25) 27
39.7%
(Missing) 12
17.6%
ValueCountFrequency (%)
0 3
4.4%
5 2
2.9%
7 2
2.9%
8 3
4.4%
9 1
 
1.5%
10 1
 
1.5%
14 1
 
1.5%
15 1
 
1.5%
16 3
4.4%
17 1
 
1.5%
ValueCountFrequency (%)
206 1
1.5%
179 1
1.5%
146 1
1.5%
105 1
1.5%
99 1
1.5%
81 1
1.5%
77 1
1.5%
68 2
2.9%
64 1
1.5%
62 1
1.5%

Interactions

2023-12-12T13:28:36.230539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:31.738560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:32.401517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:33.158803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:33.850774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:34.559598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:35.557341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:36.338262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:31.839685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:32.505862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:33.277994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:33.949937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:34.649854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:35.679330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:36.459894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:31.932331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:32.619917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:33.378125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:34.046291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:35.081967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:35.765415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:36.630528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:32.024336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:32.750969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:33.490213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:34.160177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:35.167724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:35.848952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:36.720400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:32.130893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:32.851193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:33.582240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:34.260160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:35.266994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:35.944204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:36.835707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:32.214750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:32.953167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:33.663950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:34.367404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:35.354721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:36.029076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:36.951079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:32.310400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:33.057652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:33.761326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:34.463439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:35.455105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:36.129875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:28:42.703586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역학교명설립별급별유형별전체학생수학생모집단위입사생수(정원)-계입사생수(정원)-남입사생수(정원)-여입사생수(현원)-계입사생수(현원)-남입사생수(현원)-여
지역1.0001.0000.0000.0000.3800.4810.4220.0000.0000.0000.0000.0000.449
학교명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
설립별0.0001.0001.0000.1760.4710.0000.2480.2800.3170.3740.4000.4730.305
급별0.0001.0000.1761.0000.8330.0000.1360.0000.0000.0000.0000.0000.000
유형별0.3801.0000.4710.8331.0000.3650.6820.8520.8230.6160.7280.7070.769
전체학생수0.4811.0000.0000.0000.3651.0000.3270.3460.5330.3830.2040.7120.000
학생모집단위0.4221.0000.2480.1360.6820.3271.0000.3420.2480.0470.5100.2750.000
입사생수(정원)-계0.0001.0000.2800.0000.8520.3460.3421.0000.9460.8560.9330.8920.938
입사생수(정원)-남0.0001.0000.3170.0000.8230.5330.2480.9461.0000.8790.8820.8820.818
입사생수(정원)-여0.0001.0000.3740.0000.6160.3830.0470.8560.8791.0000.8570.8360.950
입사생수(현원)-계0.0001.0000.4000.0000.7280.2040.5100.9330.8820.8571.0000.9780.856
입사생수(현원)-남0.0001.0000.4730.0000.7070.7120.2750.8920.8820.8360.9781.0000.795
입사생수(현원)-여0.4491.0000.3050.0000.7690.0000.0000.9380.8180.9500.8560.7951.000
2023-12-12T13:28:42.906275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학생모집단위급별지역설립별유형별
학생모집단위1.0000.0850.3290.1590.653
급별0.0851.0000.0000.1120.681
지역0.3290.0001.0000.0000.137
설립별0.1590.1120.0001.0000.445
유형별0.6530.6810.1370.4451.000
2023-12-12T13:28:43.060023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전체학생수입사생수(정원)-계입사생수(정원)-남입사생수(정원)-여입사생수(현원)-계입사생수(현원)-남입사생수(현원)-여지역설립별급별유형별학생모집단위
전체학생수1.0000.2940.4520.3160.1410.3960.2940.1860.0000.0000.1670.231
입사생수(정원)-계0.2941.0000.7260.7110.7770.6730.7060.0000.2610.0000.4340.320
입사생수(정원)-남0.4520.7261.0000.2920.5750.9080.3250.0000.2830.0000.3990.176
입사생수(정원)-여0.3160.7110.2921.0000.6190.3080.8310.0000.2610.0000.3300.000
입사생수(현원)-계0.1410.7770.5750.6191.0000.7840.7870.0000.2840.0000.4630.364
입사생수(현원)-남0.3960.6730.9080.3080.7841.0000.4070.0000.3340.0000.4390.191
입사생수(현원)-여0.2940.7060.3250.8310.7870.4071.0000.1620.2810.0000.3410.000
지역0.1860.0000.0000.0000.0000.0000.1621.0000.0000.0000.1370.329
설립별0.0000.2610.2830.2610.2840.3340.2810.0001.0000.1120.4450.159
급별0.0000.0000.0000.0000.0000.0000.0000.0000.1121.0000.6810.085
유형별0.1670.4340.3990.3300.4630.4390.3410.1370.4450.6811.0000.653
학생모집단위0.2310.3200.1760.0000.3640.1910.0000.3290.1590.0850.6531.000

Missing values

2023-12-12T13:28:37.130340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:28:37.389498image/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.
2023-12-12T13:28:37.569738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

지역학교명설립별급별유형별전체학생수학생모집단위입사생수(정원)-계입사생수(정원)-남입사생수(정원)-여입사생수(현원)-계입사생수(현원)-남입사생수(현원)-여
0춘천강원체육중학교공립중특성화중91전국965640854540
1춘천가정중학교공립중대안학교102강원10854541025448
2춘천전인고등학교사립고대안학교85전국1206060704327
3춘천강원생명과학고등학교공립고특성화고204전국4040<NA>1111<NA>
4춘천춘천기계공업고등학교공립고특성화고751전국120120<NA>7878<NA>
5춘천강원애니고등학교공립고특성화고175전국1803015017428146
6춘천강원체육고등학교공립고특수목적고215전국2682046420013268
7춘천강원고등학교사립고일반고607전국4848<NA>3131<NA>
8원주강원과학고등학교공립고특수목적고163전국1831265716313627
9원주미래고등학교공립고특성화고601전국9090<NA>5252<NA>
지역학교명설립별급별유형별전체학생수학생모집단위입사생수(정원)-계입사생수(정원)-남입사생수(정원)-여입사생수(현원)-계입사생수(현원)-남입사생수(현원)-여
58철원철원고등학교공립고기숙형고222강원108108<NA>4747<NA>
59화천화천고등학교공립고기숙형고199강원683236321319
60화천화천정보산업고등학교공립고특성화고90전국3203220020
61양구양구고등학교공립고기숙형고202강원100100030300
62양구양구여자고등학교공립고기숙형고171강원100<NA>10025<NA>25
63양구강원외국어고등학교사립고특수목적고288강원400145255288109179
64인제인제고등학교공립고기숙형고168강원743638321715
65인제원통고등학교공립고기숙형고201전국1005050482325
66고성고성고등학교공립고기숙형고225강원522626441826
67고성동광산업과학고등학교공립고특성화고122전국643232411823