Overview

Dataset statistics

Number of variables18
Number of observations10000
Missing cells24169
Missing cells (%)13.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 MiB
Average record size in memory162.0 B

Variable types

Numeric10
Categorical5
Text2
Boolean1

Dataset

Description수업일수 및 수업시수 현황(초,중,고)
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=ILC0HP9F67F5824TTLMM23213447&infSeq=1

Alerts

시군명 is highly overall correlated with 지역교육청명 and 1 other fieldsHigh correlation
지역명 is highly overall correlated with 시군명 and 1 other fieldsHigh correlation
기준년도 is highly overall correlated with 4학년수업일수(일) and 2 other fieldsHigh correlation
1학년수업일수(일) is highly overall correlated with 2학년수업일수(일) and 5 other fieldsHigh correlation
2학년수업일수(일) is highly overall correlated with 1학년수업일수(일) and 5 other fieldsHigh correlation
3학년수업일수(일) is highly overall correlated with 1학년수업일수(일) and 5 other fieldsHigh correlation
4학년수업일수(일) is highly overall correlated with 기준년도 and 7 other fieldsHigh correlation
5학년수업일수(일) is highly overall correlated with 기준년도 and 7 other fieldsHigh correlation
6학년수업일수(일) is highly overall correlated with 기준년도 and 7 other fieldsHigh correlation
주당평균수업시수(교사 1인당)(시간) is highly overall correlated with 학교급명 and 1 other fieldsHigh correlation
주당수업시수(시간) is highly overall correlated with 수업교원수(명) and 1 other fieldsHigh correlation
수업교원수(명) is highly overall correlated with 주당수업시수(시간) and 1 other fieldsHigh correlation
지역교육청명 is highly overall correlated with 시군명 and 2 other fieldsHigh correlation
학교급명 is highly overall correlated with 4학년수업일수(일) and 5 other fieldsHigh correlation
제외여부 is highly overall correlated with 1학년수업일수(일) and 9 other fieldsHigh correlation
설립구분명 is highly imbalanced (54.4%)Imbalance
제외여부 is highly imbalanced (97.2%)Imbalance
제외사유 has 9972 (99.7%) missing valuesMissing
4학년수업일수(일) has 4673 (46.7%) missing valuesMissing
5학년수업일수(일) has 4673 (46.7%) missing valuesMissing
6학년수업일수(일) has 4673 (46.7%) missing valuesMissing

Reproduction

Analysis started2023-12-10 23:01:40.257417
Analysis finished2023-12-10 23:01:56.152381
Duration15.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2017.9465
Minimum2015
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T08:01:56.196580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2015
5-th percentile2015
Q12016
median2018
Q32019
95-th percentile2022
Maximum2022
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.1203508
Coefficient of variation (CV)0.0010507468
Kurtosis-0.90456106
Mean2017.9465
Median Absolute Deviation (MAD)2
Skewness0.31370109
Sum20179465
Variance4.4958873
MonotonicityNot monotonic
2023-12-11T08:01:56.300278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2018 1579
15.8%
2019 1552
15.5%
2015 1513
15.1%
2016 1509
15.1%
2017 1501
15.0%
2020 816
8.2%
2021 781
7.8%
2022 749
7.5%
ValueCountFrequency (%)
2015 1513
15.1%
2016 1509
15.1%
2017 1501
15.0%
2018 1579
15.8%
2019 1552
15.5%
2020 816
8.2%
2021 781
7.8%
2022 749
7.5%
ValueCountFrequency (%)
2022 749
7.5%
2021 781
7.8%
2020 816
8.2%
2019 1552
15.5%
2018 1579
15.8%
2017 1501
15.0%
2016 1509
15.1%
2015 1513
15.1%

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
수원시
819 
용인시
757 
고양시
693 
성남시
672 
화성시
 
632
Other values (26)
6427 

Length

Max length4
Median length3
Mean length3.0857
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row안성시
2nd row수원시
3rd row고양시
4th row고양시
5th row고양시

Common Values

ValueCountFrequency (%)
수원시 819
 
8.2%
용인시 757
 
7.6%
고양시 693
 
6.9%
성남시 672
 
6.7%
화성시 632
 
6.3%
부천시 521
 
5.2%
남양주시 480
 
4.8%
안산시 455
 
4.5%
평택시 412
 
4.1%
파주시 408
 
4.1%
Other values (21) 4151
41.5%

Length

2023-12-11T08:01:56.441010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 819
 
8.2%
용인시 757
 
7.6%
고양시 693
 
6.9%
성남시 672
 
6.7%
화성시 632
 
6.3%
부천시 521
 
5.2%
남양주시 480
 
4.8%
안산시 455
 
4.5%
평택시 412
 
4.1%
파주시 408
 
4.1%
Other values (21) 4151
41.5%

지역교육청명
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기도교육청
2004 
경기도화성오산교육지원청
690 
경기도용인교육지원청
641 
경기도수원교육지원청
631 
경기도고양교육지원청
 
538
Other values (21)
5496 

Length

Max length13
Median length10
Mean length9.7479
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도안성교육지원청
2nd row경기도수원교육지원청
3rd row경기도고양교육지원청
4th row경기도고양교육지원청
5th row경기도고양교육지원청

Common Values

ValueCountFrequency (%)
경기도교육청 2004
20.0%
경기도화성오산교육지원청 690
 
6.9%
경기도용인교육지원청 641
 
6.4%
경기도수원교육지원청 631
 
6.3%
경기도고양교육지원청 538
 
5.4%
경기도성남교육지원청 501
 
5.0%
경기도구리남양주교육지원청 496
 
5.0%
경기도부천교육지원청 392
 
3.9%
경기도안산교육지원청 361
 
3.6%
경기도파주교육지원청 342
 
3.4%
Other values (16) 3404
34.0%

Length

2023-12-11T08:01:56.574653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도교육청 2004
20.0%
경기도화성오산교육지원청 690
 
6.9%
경기도용인교육지원청 641
 
6.4%
경기도수원교육지원청 631
 
6.3%
경기도고양교육지원청 538
 
5.4%
경기도성남교육지원청 501
 
5.0%
경기도구리남양주교육지원청 496
 
5.0%
경기도부천교육지원청 392
 
3.9%
경기도안산교육지원청 361
 
3.6%
경기도파주교육지원청 342
 
3.4%
Other values (16) 3404
34.0%

지역명
Categorical

HIGH CORRELATION 

Distinct43
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기도 화성시
 
632
경기도 부천시
 
521
경기도 남양주시
 
480
경기도 평택시
 
412
경기도 파주시
 
408
Other values (38)
7547 

Length

Max length12
Median length7
Mean length8.6328
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 안성시
2nd row경기도 수원시 권선구
3rd row경기도 고양시 일산서구
4th row경기도 고양시 일산서구
5th row경기도 고양시 덕양구

Common Values

ValueCountFrequency (%)
경기도 화성시 632
 
6.3%
경기도 부천시 521
 
5.2%
경기도 남양주시 480
 
4.8%
경기도 평택시 412
 
4.1%
경기도 파주시 408
 
4.1%
경기도 성남시 분당구 376
 
3.8%
경기도 시흥시 351
 
3.5%
경기도 김포시 342
 
3.4%
경기도 용인시 기흥구 298
 
3.0%
경기도 고양시 덕양구 289
 
2.9%
Other values (33) 5891
58.9%

Length

2023-12-11T08:01:56.759608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 9997
42.1%
수원시 819
 
3.4%
용인시 756
 
3.2%
고양시 693
 
2.9%
성남시 672
 
2.8%
화성시 632
 
2.7%
부천시 521
 
2.2%
남양주시 480
 
2.0%
안산시 455
 
1.9%
평택시 412
 
1.7%
Other values (40) 8329
35.0%
Distinct2452
Distinct (%)24.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T08:01:57.103665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length6
Mean length6.2833
Min length5

Characters and Unicode

Total characters62833
Distinct characters334
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique161 ?
Unique (%)1.6%

Sample

1st row개정초등학교
2nd row곡정초등학교
3rd row오마중학교
4th row황룡초등학교
5th row고양화수초등학교
ValueCountFrequency (%)
원일초등학교 12
 
0.1%
오산초등학교 12
 
0.1%
탑동초등학교 11
 
0.1%
안녕초등학교 10
 
0.1%
성남중학교 10
 
0.1%
초당초등학교 10
 
0.1%
대곡초등학교 9
 
0.1%
성남여자고등학교 9
 
0.1%
광선초등학교 9
 
0.1%
대송중학교 9
 
0.1%
Other values (2443) 9905
99.0%
2023-12-11T08:01:57.633265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10220
16.3%
10152
16.2%
7368
 
11.7%
5402
 
8.6%
2882
 
4.6%
2219
 
3.5%
632
 
1.0%
626
 
1.0%
604
 
1.0%
576
 
0.9%
Other values (324) 22152
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62723
99.8%
Lowercase Letter 82
 
0.1%
Uppercase Letter 20
 
< 0.1%
Space Separator 6
 
< 0.1%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10220
16.3%
10152
16.2%
7368
 
11.7%
5402
 
8.6%
2882
 
4.6%
2219
 
3.5%
632
 
1.0%
626
 
1.0%
604
 
1.0%
576
 
0.9%
Other values (310) 22042
35.1%
Lowercase Letter
ValueCountFrequency (%)
s 24
29.3%
i 12
14.6%
n 12
14.6%
e 10
12.2%
g 6
 
7.3%
l 6
 
7.3%
h 6
 
7.3%
u 6
 
7.3%
Uppercase Letter
ValueCountFrequency (%)
E 6
30.0%
B 6
30.0%
T 4
20.0%
I 4
20.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62723
99.8%
Latin 102
 
0.2%
Common 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10220
16.3%
10152
16.2%
7368
 
11.7%
5402
 
8.6%
2882
 
4.6%
2219
 
3.5%
632
 
1.0%
626
 
1.0%
604
 
1.0%
576
 
0.9%
Other values (310) 22042
35.1%
Latin
ValueCountFrequency (%)
s 24
23.5%
i 12
11.8%
n 12
11.8%
e 10
9.8%
E 6
 
5.9%
g 6
 
5.9%
l 6
 
5.9%
h 6
 
5.9%
B 6
 
5.9%
u 6
 
5.9%
Other values (2) 8
 
7.8%
Common
ValueCountFrequency (%)
6
75.0%
1 2
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62723
99.8%
ASCII 110
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
10220
16.3%
10152
16.2%
7368
 
11.7%
5402
 
8.6%
2882
 
4.6%
2219
 
3.5%
632
 
1.0%
626
 
1.0%
604
 
1.0%
576
 
0.9%
Other values (310) 22042
35.1%
ASCII
ValueCountFrequency (%)
s 24
21.8%
i 12
10.9%
n 12
10.9%
e 10
9.1%
E 6
 
5.5%
g 6
 
5.5%
l 6
 
5.5%
h 6
 
5.5%
6
 
5.5%
B 6
 
5.5%
Other values (4) 16
14.5%

학교급명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6181 
초등학교
2022 
중학교
1006 
고등학교
778 
방통고
 
10

Length

Max length4
Median length4
Mean length3.8981
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row초등학교
2nd row초등학교
3rd row<NA>
4th row<NA>
5th row초등학교

Common Values

ValueCountFrequency (%)
<NA> 6181
61.8%
초등학교 2022
 
20.2%
중학교 1006
 
10.1%
고등학교 778
 
7.8%
방통고 10
 
0.1%
방통중 3
 
< 0.1%

Length

2023-12-11T08:01:57.779362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:01:57.903675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6181
61.8%
초등학교 2022
 
20.2%
중학교 1006
 
10.1%
고등학교 778
 
7.8%
방통고 10
 
0.1%
방통중 3
 
< 0.1%

설립구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
공립
9041 
사립
959 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공립 9041
90.4%
사립 959
 
9.6%

Length

2023-12-11T08:01:58.036069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:01:58.125656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 9041
90.4%
사립 959
 
9.6%

제외여부
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9972 
True
 
28
ValueCountFrequency (%)
False 9972
99.7%
True 28
 
0.3%
2023-12-11T08:01:58.226141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

제외사유
Text

MISSING 

Distinct18
Distinct (%)64.3%
Missing9972
Missing (%)99.7%
Memory size156.2 KiB
2023-12-11T08:01:58.466268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length21
Mean length17.535714
Min length4

Characters and Unicode

Total characters491
Distinct characters74
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

Unique11 ?
Unique (%)39.3%

Sample

1st row본교에서 입력
2nd row방송중은 해당사항 없음
3rd row본교에서 입력함. 분교 해당 없음.
4th row분교 정보공시 제외 항목임
5th row원격수업으로 진행되며 월 2회 일요일 출석수업으로 제외처리함
ValueCountFrequency (%)
분교 6
 
5.6%
일요일 6
 
5.6%
제외처리함 6
 
5.6%
분교장 6
 
5.6%
제외 6
 
5.6%
원격수업으로 5
 
4.6%
5
 
4.6%
2회 5
 
4.6%
출석수업으로 5
 
4.6%
진행되며 5
 
4.6%
Other values (34) 53
49.1%
2023-12-11T08:01:58.924493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
80
 
16.3%
24
 
4.9%
20
 
4.1%
20
 
4.1%
16
 
3.3%
15
 
3.1%
14
 
2.9%
12
 
2.4%
12
 
2.4%
12
 
2.4%
Other values (64) 266
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 398
81.1%
Space Separator 80
 
16.3%
Other Punctuation 7
 
1.4%
Decimal Number 6
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
24
 
6.0%
20
 
5.0%
20
 
5.0%
16
 
4.0%
15
 
3.8%
14
 
3.5%
12
 
3.0%
12
 
3.0%
12
 
3.0%
11
 
2.8%
Other values (61) 242
60.8%
Space Separator
ValueCountFrequency (%)
80
100.0%
Other Punctuation
ValueCountFrequency (%)
. 7
100.0%
Decimal Number
ValueCountFrequency (%)
2 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 398
81.1%
Common 93
 
18.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
24
 
6.0%
20
 
5.0%
20
 
5.0%
16
 
4.0%
15
 
3.8%
14
 
3.5%
12
 
3.0%
12
 
3.0%
12
 
3.0%
11
 
2.8%
Other values (61) 242
60.8%
Common
ValueCountFrequency (%)
80
86.0%
. 7
 
7.5%
2 6
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 398
81.1%
ASCII 93
 
18.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
80
86.0%
. 7
 
7.5%
2 6
 
6.5%
Hangul
ValueCountFrequency (%)
24
 
6.0%
20
 
5.0%
20
 
5.0%
16
 
4.0%
15
 
3.8%
14
 
3.5%
12
 
3.0%
12
 
3.0%
12
 
3.0%
11
 
2.8%
Other values (61) 242
60.8%

1학년수업일수(일)
Real number (ℝ)

HIGH CORRELATION 

Distinct79
Distinct (%)0.8%
Missing28
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean189.52677
Minimum0
Maximum309
Zeros24
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T08:01:59.094705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile173
Q1190
median191
Q3192
95-th percentile193
Maximum309
Range309
Interquartile range (IQR)2

Descriptive statistics

Standard deviation11.915129
Coefficient of variation (CV)0.062867787
Kurtosis160.59715
Mean189.52677
Median Absolute Deviation (MAD)1
Skewness-9.0652264
Sum1889961
Variance141.9703
MonotonicityNot monotonic
2023-12-11T08:01:59.261570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190 3421
34.2%
191 3087
30.9%
192 1802
18.0%
193 494
 
4.9%
171 377
 
3.8%
173 273
 
2.7%
194 134
 
1.3%
174 63
 
0.6%
195 58
 
0.6%
196 28
 
0.3%
Other values (69) 235
 
2.4%
(Missing) 28
 
0.3%
ValueCountFrequency (%)
0 24
 
0.2%
84 1
 
< 0.1%
85 2
 
< 0.1%
164 2
 
< 0.1%
170 8
 
0.1%
171 377
3.8%
172 16
 
0.2%
173 273
2.7%
174 63
 
0.6%
175 11
 
0.1%
ValueCountFrequency (%)
309 1
 
< 0.1%
306 1
 
< 0.1%
292 1
 
< 0.1%
284 1
 
< 0.1%
282 1
 
< 0.1%
278 1
 
< 0.1%
273 1
 
< 0.1%
271 1
 
< 0.1%
267 1
 
< 0.1%
266 5
0.1%

2학년수업일수(일)
Real number (ℝ)

HIGH CORRELATION 

Distinct77
Distinct (%)0.8%
Missing28
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean189.20888
Minimum0
Maximum309
Zeros40
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T08:01:59.435585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile173
Q1190
median191
Q3192
95-th percentile193
Maximum309
Range309
Interquartile range (IQR)2

Descriptive statistics

Standard deviation14.086014
Coefficient of variation (CV)0.074446896
Kurtosis132.24853
Mean189.20888
Median Absolute Deviation (MAD)1
Skewness-9.3671363
Sum1886791
Variance198.4158
MonotonicityNot monotonic
2023-12-11T08:01:59.609152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190 3416
34.2%
191 3082
30.8%
192 1801
18.0%
193 496
 
5.0%
171 377
 
3.8%
173 273
 
2.7%
194 132
 
1.3%
174 63
 
0.6%
195 56
 
0.6%
0 40
 
0.4%
Other values (67) 236
 
2.4%
ValueCountFrequency (%)
0 40
 
0.4%
84 1
 
< 0.1%
85 2
 
< 0.1%
164 2
 
< 0.1%
170 8
 
0.1%
171 377
3.8%
172 16
 
0.2%
173 273
2.7%
174 63
 
0.6%
175 11
 
0.1%
ValueCountFrequency (%)
309 1
 
< 0.1%
306 1
 
< 0.1%
284 1
 
< 0.1%
282 1
 
< 0.1%
278 1
 
< 0.1%
273 1
 
< 0.1%
271 1
 
< 0.1%
267 1
 
< 0.1%
266 5
0.1%
265 1
 
< 0.1%

3학년수업일수(일)
Real number (ℝ)

HIGH CORRELATION 

Distinct76
Distinct (%)0.8%
Missing28
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean188.91396
Minimum0
Maximum309
Zeros62
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T08:01:59.804634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile177
Q1190
median191
Q3192
95-th percentile193
Maximum309
Range309
Interquartile range (IQR)2

Descriptive statistics

Standard deviation16.479289
Coefficient of variation (CV)0.087231716
Kurtosis106.64221
Mean188.91396
Median Absolute Deviation (MAD)1
Skewness-9.1436089
Sum1883850
Variance271.56696
MonotonicityNot monotonic
2023-12-11T08:01:59.960307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190 3429
34.3%
191 3068
30.7%
192 1756
17.6%
193 504
 
5.0%
171 371
 
3.7%
177 267
 
2.7%
194 139
 
1.4%
195 66
 
0.7%
0 62
 
0.6%
178 59
 
0.6%
Other values (66) 251
 
2.5%
(Missing) 28
 
0.3%
ValueCountFrequency (%)
0 62
 
0.6%
88 1
 
< 0.1%
89 2
 
< 0.1%
164 2
 
< 0.1%
170 8
 
0.1%
171 371
3.7%
172 14
 
0.1%
173 15
 
0.1%
174 8
 
0.1%
176 2
 
< 0.1%
ValueCountFrequency (%)
309 1
 
< 0.1%
306 1
 
< 0.1%
284 1
 
< 0.1%
282 1
 
< 0.1%
278 1
 
< 0.1%
267 1
 
< 0.1%
266 3
< 0.1%
265 1
 
< 0.1%
263 3
< 0.1%
262 2
< 0.1%

4학년수업일수(일)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct40
Distinct (%)0.8%
Missing4673
Missing (%)46.7%
Infinite0
Infinite (%)0.0%
Mean189.36794
Minimum0
Maximum263
Zeros8
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T08:02:00.155480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile173
Q1190
median190
Q3191
95-th percentile193
Maximum263
Range263
Interquartile range (IQR)1

Descriptive statistics

Standard deviation9.2126059
Coefficient of variation (CV)0.048649238
Kurtosis268.22578
Mean189.36794
Median Absolute Deviation (MAD)1
Skewness-13.097291
Sum1008763
Variance84.872107
MonotonicityNot monotonic
2023-12-11T08:02:00.295405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
190 2269
22.7%
191 1529
 
15.3%
192 748
 
7.5%
173 378
 
3.8%
193 260
 
2.6%
194 28
 
0.3%
174 14
 
0.1%
195 13
 
0.1%
176 8
 
0.1%
172 8
 
0.1%
Other values (30) 72
 
0.7%
(Missing) 4673
46.7%
ValueCountFrequency (%)
0 8
 
0.1%
166 2
 
< 0.1%
172 8
 
0.1%
173 378
3.8%
174 14
 
0.1%
175 5
 
0.1%
176 8
 
0.1%
178 1
 
< 0.1%
180 1
 
< 0.1%
183 1
 
< 0.1%
ValueCountFrequency (%)
263 1
 
< 0.1%
251 1
 
< 0.1%
234 1
 
< 0.1%
232 1
 
< 0.1%
231 2
< 0.1%
229 3
< 0.1%
228 1
 
< 0.1%
227 1
 
< 0.1%
220 2
< 0.1%
216 1
 
< 0.1%

5학년수업일수(일)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct40
Distinct (%)0.8%
Missing4673
Missing (%)46.7%
Infinite0
Infinite (%)0.0%
Mean189.3685
Minimum0
Maximum263
Zeros8
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T08:02:00.421774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile173
Q1190
median190
Q3191
95-th percentile193
Maximum263
Range263
Interquartile range (IQR)1

Descriptive statistics

Standard deviation9.2126751
Coefficient of variation (CV)0.048649459
Kurtosis268.22083
Mean189.3685
Median Absolute Deviation (MAD)1
Skewness-13.097176
Sum1008766
Variance84.873382
MonotonicityNot monotonic
2023-12-11T08:02:00.579693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
190 2266
22.7%
191 1532
 
15.3%
192 748
 
7.5%
173 378
 
3.8%
193 260
 
2.6%
194 28
 
0.3%
174 14
 
0.1%
195 13
 
0.1%
176 8
 
0.1%
172 8
 
0.1%
Other values (30) 72
 
0.7%
(Missing) 4673
46.7%
ValueCountFrequency (%)
0 8
 
0.1%
166 2
 
< 0.1%
172 8
 
0.1%
173 378
3.8%
174 14
 
0.1%
175 5
 
0.1%
176 8
 
0.1%
178 1
 
< 0.1%
180 1
 
< 0.1%
183 1
 
< 0.1%
ValueCountFrequency (%)
263 1
 
< 0.1%
251 1
 
< 0.1%
234 1
 
< 0.1%
232 1
 
< 0.1%
231 2
< 0.1%
229 3
< 0.1%
228 1
 
< 0.1%
227 1
 
< 0.1%
220 2
< 0.1%
216 1
 
< 0.1%

6학년수업일수(일)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct39
Distinct (%)0.7%
Missing4673
Missing (%)46.7%
Infinite0
Infinite (%)0.0%
Mean189.28083
Minimum0
Maximum263
Zeros10
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T08:02:00.730714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile173
Q1190
median190
Q3191
95-th percentile193
Maximum263
Range263
Interquartile range (IQR)1

Descriptive statistics

Standard deviation9.8828842
Coefficient of variation (CV)0.05221281
Kurtosis251.84071
Mean189.28083
Median Absolute Deviation (MAD)1
Skewness-13.256807
Sum1008299
Variance97.671399
MonotonicityNot monotonic
2023-12-11T08:02:00.857597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
190 2257
22.6%
191 1530
 
15.3%
192 748
 
7.5%
173 377
 
3.8%
193 264
 
2.6%
194 35
 
0.4%
195 15
 
0.1%
174 15
 
0.1%
0 10
 
0.1%
176 9
 
0.1%
Other values (29) 67
 
0.7%
(Missing) 4673
46.7%
ValueCountFrequency (%)
0 10
 
0.1%
166 2
 
< 0.1%
172 8
 
0.1%
173 377
3.8%
174 15
 
0.1%
175 5
 
0.1%
176 9
 
0.1%
178 1
 
< 0.1%
180 1
 
< 0.1%
183 1
 
< 0.1%
ValueCountFrequency (%)
263 1
 
< 0.1%
243 1
 
< 0.1%
234 1
 
< 0.1%
232 1
 
< 0.1%
231 2
< 0.1%
229 3
< 0.1%
228 1
 
< 0.1%
227 1
 
< 0.1%
216 1
 
< 0.1%
215 1
 
< 0.1%

주당평균수업시수(교사 1인당)(시간)
Real number (ℝ)

HIGH CORRELATION 

Distinct221
Distinct (%)2.2%
Missing38
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean19.705069
Minimum0.2
Maximum51.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T08:02:01.294983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile15.4
Q117.8
median20.3
Q321.8
95-th percentile23.2
Maximum51.5
Range51.3
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.894894
Coefficient of variation (CV)0.14691113
Kurtosis5.4222396
Mean19.705069
Median Absolute Deviation (MAD)1.7
Skewness-1.0508269
Sum196301.9
Variance8.380411
MonotonicityNot monotonic
2023-12-11T08:02:01.446459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22.0 335
 
3.4%
21.9 237
 
2.4%
22.3 225
 
2.2%
21.3 221
 
2.2%
21.7 220
 
2.2%
21.4 217
 
2.2%
21.5 206
 
2.1%
22.1 201
 
2.0%
21.6 200
 
2.0%
21.8 196
 
2.0%
Other values (211) 7704
77.0%
ValueCountFrequency (%)
0.2 2
< 0.1%
0.3 1
< 0.1%
0.4 1
< 0.1%
0.8 1
< 0.1%
1.1 1
< 0.1%
1.2 2
< 0.1%
1.4 1
< 0.1%
1.5 2
< 0.1%
2.2 1
< 0.1%
2.3 2
< 0.1%
ValueCountFrequency (%)
51.5 1
 
< 0.1%
31.0 1
 
< 0.1%
29.0 7
0.1%
28.7 1
 
< 0.1%
28.5 1
 
< 0.1%
28.0 4
< 0.1%
27.9 1
 
< 0.1%
27.8 1
 
< 0.1%
27.6 2
 
< 0.1%
27.5 4
< 0.1%

주당수업시수(시간)
Real number (ℝ)

HIGH CORRELATION 

Distinct1457
Distinct (%)14.6%
Missing28
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean692.31498
Minimum0
Maximum2374
Zeros10
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T08:02:01.599175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile156
Q1411
median680
Q3955
95-th percentile1304.45
Maximum2374
Range2374
Interquartile range (IQR)544

Descriptive statistics

Standard deviation362.95037
Coefficient of variation (CV)0.52425612
Kurtosis-0.49079574
Mean692.31498
Median Absolute Deviation (MAD)272
Skewness0.27250658
Sum6903765
Variance131732.97
MonotonicityNot monotonic
2023-12-11T08:02:01.757772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
154 111
 
1.1%
156 97
 
1.0%
158 53
 
0.5%
176 47
 
0.5%
1020 43
 
0.4%
1224 42
 
0.4%
462 36
 
0.4%
160 34
 
0.3%
157 34
 
0.3%
180 33
 
0.3%
Other values (1447) 9442
94.4%
ValueCountFrequency (%)
0 10
0.1%
6 3
 
< 0.1%
9 1
 
< 0.1%
10 1
 
< 0.1%
21 1
 
< 0.1%
24 1
 
< 0.1%
25 1
 
< 0.1%
26 2
 
< 0.1%
28 1
 
< 0.1%
29 6
0.1%
ValueCountFrequency (%)
2374 1
< 0.1%
2079 1
< 0.1%
2065 1
< 0.1%
2064 1
< 0.1%
2056 1
< 0.1%
2034 1
< 0.1%
2021 1
< 0.1%
1983 1
< 0.1%
1974 1
< 0.1%
1952 1
< 0.1%

수업교원수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct107
Distinct (%)1.1%
Missing28
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean35.904633
Minimum1
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T08:02:01.943367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q121
median33
Q349
95-th percentile73
Maximum120
Range119
Interquartile range (IQR)28

Descriptive statistics

Standard deviation19.904088
Coefficient of variation (CV)0.55435989
Kurtosis-0.18651987
Mean35.904633
Median Absolute Deviation (MAD)14
Skewness0.55114026
Sum358041
Variance396.17273
MonotonicityNot monotonic
2023-12-11T08:02:02.102019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 408
 
4.1%
7 395
 
4.0%
33 231
 
2.3%
31 228
 
2.3%
32 223
 
2.2%
24 220
 
2.2%
25 218
 
2.2%
34 208
 
2.1%
26 200
 
2.0%
35 199
 
2.0%
Other values (97) 7442
74.4%
ValueCountFrequency (%)
1 10
 
0.1%
2 11
 
0.1%
3 6
 
0.1%
4 23
 
0.2%
5 20
 
0.2%
6 22
 
0.2%
7 395
4.0%
8 408
4.1%
9 120
 
1.2%
10 104
 
1.0%
ValueCountFrequency (%)
120 1
 
< 0.1%
111 1
 
< 0.1%
110 1
 
< 0.1%
109 2
< 0.1%
108 3
< 0.1%
107 1
 
< 0.1%
103 3
< 0.1%
102 1
 
< 0.1%
99 1
 
< 0.1%
98 2
< 0.1%

Interactions

2023-12-11T08:01:54.424447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:44.126390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:45.260291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:46.398447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:47.716441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:48.822609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:49.964726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:50.934750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:52.137655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:53.280881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:54.535768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:44.259898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:45.381706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:46.502374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:47.838215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:48.977552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:50.083557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:51.041813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:52.246799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:53.390531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:54.627653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:44.397387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:45.475639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:46.610617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:47.945999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:49.097553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:50.174031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:51.152415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:52.387491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:53.478035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:54.744607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:44.523257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:45.584963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:46.713696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:48.077575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:49.198279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:50.281949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:51.252918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:52.517059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:53.580243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:54.856607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:44.644171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:45.708483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:46.826205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:48.192259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:49.324528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:50.375626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:51.362317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:52.632613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:53.686581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:54.949080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:44.739804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:45.832959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:46.924412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:48.293265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:49.453164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:50.481818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:51.466701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:52.758712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:53.794562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:55.066106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:44.830550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:45.949248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:47.017038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:48.396525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:49.547867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:50.582614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:51.594325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:52.885378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:53.880645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:55.150017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:44.920866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:46.063478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:47.395047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:48.508972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:49.638961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:50.662966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:51.734543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:52.993497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:53.975209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:55.259545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:45.020049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:46.205944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:47.514859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:48.626184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:49.757936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:50.746497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:51.868162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:53.093407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:54.048529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:55.408153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:45.125379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:46.300528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:47.614343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:48.720997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:49.869985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:50.841288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:52.007082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:53.191419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:54.122216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:02:02.216204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도시군명지역교육청명지역명학교급명설립구분명제외여부제외사유1학년수업일수(일)2학년수업일수(일)3학년수업일수(일)4학년수업일수(일)5학년수업일수(일)6학년수업일수(일)주당평균수업시수(교사 1인당)(시간)주당수업시수(시간)수업교원수(명)
기준년도1.0000.0000.0000.0000.0000.0190.0320.0000.8010.8010.8010.6480.6490.6490.0430.0500.051
시군명0.0001.0000.9931.0000.1620.2410.0701.0000.0640.0420.0410.0410.0560.0900.2900.4550.447
지역교육청명0.0000.9931.0000.9940.7720.4630.0691.0000.0580.0000.0630.0380.0560.0980.4590.5520.621
지역명0.0001.0000.9941.0000.1830.3230.0841.0000.1080.0860.0870.0000.0380.1110.3020.4820.487
학교급명0.0000.1620.7720.1831.0000.3170.4161.0000.1200.1200.128NaNNaNNaN0.7340.4260.695
설립구분명0.0190.2410.4630.3230.3171.0000.015NaN0.0410.0480.0520.0000.0000.0000.3950.1410.255
제외여부0.0320.0700.0690.0840.4160.0151.000NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
제외사유0.0001.0001.0001.0001.000NaNNaN1.000NaNNaNNaNNaNNaNNaNNaNNaNNaN
1학년수업일수(일)0.8010.0640.0580.1080.1200.041NaNNaN1.0000.9970.9910.9830.9840.9820.3100.0940.164
2학년수업일수(일)0.8010.0420.0000.0860.1200.048NaNNaN0.9971.0000.9960.9870.9800.9800.1840.0790.153
3학년수업일수(일)0.8010.0410.0630.0870.1280.052NaNNaN0.9910.9961.0000.9810.9840.9810.1710.0530.155
4학년수업일수(일)0.6480.0410.0380.000NaN0.000NaNNaN0.9830.9870.9811.0000.9930.9960.3160.0620.057
5학년수업일수(일)0.6490.0560.0560.038NaN0.000NaNNaN0.9840.9800.9840.9931.0000.9930.4720.0620.057
6학년수업일수(일)0.6490.0900.0980.111NaN0.000NaNNaN0.9820.9800.9810.9960.9931.0000.3210.0700.062
주당평균수업시수(교사 1인당)(시간)0.0430.2900.4590.3020.7340.395NaNNaN0.3100.1840.1710.3160.4720.3211.0000.3260.342
주당수업시수(시간)0.0500.4550.5520.4820.4260.141NaNNaN0.0940.0790.0530.0620.0620.0700.3261.0000.951
수업교원수(명)0.0510.4470.6210.4870.6950.255NaNNaN0.1640.1530.1550.0570.0570.0620.3420.9511.000
2023-12-11T08:02:02.383707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학교급명시군명지역교육청명지역명제외여부설립구분명
학교급명1.0000.0770.5020.0850.5060.387
시군명0.0771.0000.8790.9990.0600.205
지역교육청명0.5020.8791.0000.8790.0550.368
지역명0.0850.9990.8791.0000.0660.257
제외여부0.5060.0600.0550.0661.0000.010
설립구분명0.3870.2050.3680.2570.0101.000
2023-12-11T08:02:02.524255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도1학년수업일수(일)2학년수업일수(일)3학년수업일수(일)4학년수업일수(일)5학년수업일수(일)6학년수업일수(일)주당평균수업시수(교사 1인당)(시간)주당수업시수(시간)수업교원수(명)시군명지역교육청명지역명학교급명설립구분명제외여부
기준년도1.000-0.471-0.467-0.459-0.509-0.508-0.513-0.0040.0000.0110.0000.0000.0000.0000.0170.068
1학년수업일수(일)-0.4711.0000.9880.9610.9910.9920.986-0.1720.1530.1770.0260.0250.0410.0980.0441.000
2학년수업일수(일)-0.4670.9881.0000.9690.9940.9900.986-0.1640.1560.1800.0170.0000.0320.0980.0511.000
3학년수업일수(일)-0.4590.9610.9691.0000.9950.9940.989-0.1540.1700.1890.0170.0260.0330.1050.0561.000
4학년수업일수(일)-0.5090.9910.9940.9951.0000.9950.991-0.1000.0470.0600.0190.0160.0001.0000.0001.000
5학년수업일수(일)-0.5080.9920.9900.9940.9951.0000.991-0.1000.0470.0610.0260.0240.0171.0000.0001.000
6학년수업일수(일)-0.5130.9860.9860.9890.9910.9911.000-0.0980.0460.0590.0420.0420.0521.0000.0001.000
주당평균수업시수(교사 1인당)(시간)-0.004-0.172-0.164-0.154-0.100-0.100-0.0981.000-0.138-0.3180.1170.2020.1200.5680.2961.000
주당수업시수(시간)0.0000.1530.1560.1700.0470.0470.046-0.1381.0000.9740.1770.2340.1870.2620.1081.000
수업교원수(명)0.0110.1770.1800.1890.0600.0610.059-0.3180.9741.0000.1730.2780.1900.3600.1951.000
시군명0.0000.0260.0170.0170.0190.0260.0420.1170.1770.1731.0000.8790.9990.0770.2050.060
지역교육청명0.0000.0250.0000.0260.0160.0240.0420.2020.2340.2780.8791.0000.8790.5020.3680.055
지역명0.0000.0410.0320.0330.0000.0170.0520.1200.1870.1900.9990.8791.0000.0850.2570.066
학교급명0.0000.0980.0980.1051.0001.0001.0000.5680.2620.3600.0770.5020.0851.0000.3870.506
설립구분명0.0170.0440.0510.0560.0000.0000.0000.2960.1080.1950.2050.3680.2570.3871.0000.010
제외여부0.0681.0001.0001.0001.0001.0001.0001.0001.0001.0000.0600.0550.0660.5060.0101.000

Missing values

2023-12-11T08:01:55.566030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:01:55.788936image/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.
2023-12-11T08:01:56.015999image/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

기준년도시군명지역교육청명지역명학교명학교급명설립구분명제외여부제외사유1학년수업일수(일)2학년수업일수(일)3학년수업일수(일)4학년수업일수(일)5학년수업일수(일)6학년수업일수(일)주당평균수업시수(교사 1인당)(시간)주당수업시수(시간)수업교원수(명)
195742017안성시경기도안성교육지원청경기도 안성시개정초등학교초등학교공립N<NA>19019019019019019022.31567
236962016수원시경기도수원교육지원청경기도 수원시 권선구곡정초등학교초등학교공립N<NA>19119119119119119121.6105749
170912017고양시경기도고양교육지원청경기도 고양시 일산서구오마중학교<NA>공립N<NA>191191191<NA><NA><NA>19.3115660
173792017고양시경기도고양교육지원청경기도 고양시 일산서구황룡초등학교<NA>공립N<NA>19219219219219219220.954426
124452018고양시경기도고양교육지원청경기도 고양시 덕양구고양화수초등학교초등학교공립N<NA>19119119119119119121.681938
303192015파주시경기도파주교육지원청경기도 파주시문산수억중학교<NA>사립N<NA>192192192<NA><NA><NA>19.662732
67802020의왕시경기도군포의왕교육지원청경기도 의왕시의왕중학교<NA>공립N<NA>173173177<NA><NA><NA>16.032020
277402015부천시경기도부천교육지원청경기도 부천시부천일신초등학교<NA>공립N<NA>19119119119119119119.4104954
304272015파주시경기도파주교육지원청경기도 파주시장파초등학교<NA>공립N<NA>19319319319319319317.71599
306552015포천시경기도포천교육지원청경기도 포천시금주초등학교<NA>공립N<NA>19119119119119119122.31567
기준년도시군명지역교육청명지역명학교명학교급명설립구분명제외여부제외사유1학년수업일수(일)2학년수업일수(일)3학년수업일수(일)4학년수업일수(일)5학년수업일수(일)6학년수업일수(일)주당평균수업시수(교사 1인당)(시간)주당수업시수(시간)수업교원수(명)
220922016고양시경기도고양교육지원청경기도 고양시 일산서구문화초등학교초등학교공립N<NA>19119119119119119122.386839
294942015연천군경기도연천교육지원청경기도 연천군화진초등학교초등학교공립N<NA>19219219219219219222.92069
113132019파주시경기도파주교육지원청경기도 파주시월롱초등학교초등학교공립N<NA>19119119119119119122.31567
41142021오산시경기도화성오산교육지원청경기도 오산시세마초등학교<NA>공립N<NA>19019019019019019021.856626
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