Overview

Dataset statistics

Number of variables54
Number of observations10000
Missing cells10063
Missing cells (%)1.9%
Duplicate rows339
Duplicate rows (%)3.4%
Total size in memory4.6 MiB
Average record size in memory486.0 B

Variable types

Numeric23
Categorical28
Text2
Boolean1

Alerts

Dataset has 339 (3.4%) duplicate rowsDuplicates
학교급명 is highly imbalanced (54.0%)Imbalance
설립구분명 is highly imbalanced (68.0%)Imbalance
제외여부 is highly imbalanced (99.6%)Imbalance
교장남성수(명) is highly imbalanced (52.2%)Imbalance
교장합계수(명) is highly imbalanced (72.2%)Imbalance
수석교사남성수(명) is highly imbalanced (85.1%)Imbalance
수석교사여성수(명) is highly imbalanced (76.6%)Imbalance
수석교사합계수(명) is highly imbalanced (71.1%)Imbalance
준교사남성수(명) is highly imbalanced (98.6%)Imbalance
준교사여성수(명) is highly imbalanced (98.3%)Imbalance
준교사합계수(명) is highly imbalanced (97.5%)Imbalance
실기교사남성수(명) is highly imbalanced (98.3%)Imbalance
실기교사여성수(명) is highly imbalanced (99.1%)Imbalance
실기교사합계수(명) is highly imbalanced (98.0%)Imbalance
전문상담교사남성수(명) is highly imbalanced (88.9%)Imbalance
전문상담교사여성수(명) is highly imbalanced (64.4%)Imbalance
전문상담교사합계수(명) is highly imbalanced (61.1%)Imbalance
사서교사남성수(명) is highly imbalanced (97.8%)Imbalance
사서교사여성수(명) is highly imbalanced (76.7%)Imbalance
사서교사합계수(명) is highly imbalanced (76.2%)Imbalance
보건교사남성수(명) is highly imbalanced (99.2%)Imbalance
영양교사남성수(명) is highly imbalanced (99.1%)Imbalance
제외사유 has 9997 (> 99.9%) missing valuesMissing
교감남성수(명) has 4873 (48.7%) zerosZeros
교감여성수(명).1 has 834 (8.3%) zerosZeros
정교사1정남성수(명) has 416 (4.2%) zerosZeros
정교사1정여성수(명) has 261 (2.6%) zerosZeros
정교사1정합계수(명) has 159 (1.6%) zerosZeros
정교사2정남성수(명) has 1800 (18.0%) zerosZeros
정교사2정여성수(명) has 835 (8.3%) zerosZeros
정교사2정합계수(명) has 542 (5.4%) zerosZeros
특수교사1정남성수(명) has 9327 (93.3%) zerosZeros
특수교사1정여성수(명) has 6077 (60.8%) zerosZeros
특수교사1정합계수(명) has 5701 (57.0%) zerosZeros
특수교사2정남성수(명) has 8236 (82.4%) zerosZeros
특수교사2정여성수(명) has 5628 (56.3%) zerosZeros
특수교사2정합계수(명) has 4929 (49.3%) zerosZeros
보건교사여성수(명) has 743 (7.4%) zerosZeros
보건요사합계수(명) has 737 (7.4%) zerosZeros
해당없음남성수(명) has 9387 (93.9%) zerosZeros
해당없음여성수(명) has 8790 (87.9%) zerosZeros
해당없음합계수(명) has 8382 (83.8%) zerosZeros

Reproduction

Analysis started2023-12-10 21:05:04.099683
Analysis finished2023-12-10 21:05:05.376882
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2017.2882
Minimum2015
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:05:05.442836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2015
5-th percentile2015
Q12016
median2017
Q32019
95-th percentile2020
Maximum2020
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.5949279
Coefficient of variation (CV)0.00079062969
Kurtosis-1.1577079
Mean2017.2882
Median Absolute Deviation (MAD)1
Skewness0.074290061
Sum20172882
Variance2.5437951
MonotonicityNot monotonic
2023-12-11T06:05:05.563087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2017 1839
18.4%
2018 1837
18.4%
2019 1821
18.2%
2016 1819
18.2%
2015 1766
17.7%
2020 918
9.2%
ValueCountFrequency (%)
2015 1766
17.7%
2016 1819
18.2%
2017 1839
18.4%
2018 1837
18.4%
2019 1821
18.2%
2020 918
9.2%
ValueCountFrequency (%)
2020 918
9.2%
2019 1821
18.2%
2018 1837
18.4%
2017 1839
18.4%
2016 1819
18.2%
2015 1766
17.7%

시군명
Categorical

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
수원시
805 
용인시
774 
고양시
710 
화성시
659 
성남시
656 
Other values (26)
6396 

Length

Max length4
Median length3
Mean length3.0869
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수원시
2nd row남양주시
3rd row안양시
4th row안양시
5th row오산시

Common Values

ValueCountFrequency (%)
수원시 805
 
8.1%
용인시 774
 
7.7%
고양시 710
 
7.1%
화성시 659
 
6.6%
성남시 656
 
6.6%
부천시 524
 
5.2%
남양주시 480
 
4.8%
평택시 460
 
4.6%
안산시 440
 
4.4%
파주시 430
 
4.3%
Other values (21) 4062
40.6%

Length

2023-12-11T06:05:05.703809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 805
 
8.1%
용인시 774
 
7.7%
고양시 710
 
7.1%
화성시 659
 
6.6%
성남시 656
 
6.6%
부천시 524
 
5.2%
남양주시 480
 
4.8%
평택시 460
 
4.6%
안산시 440
 
4.4%
파주시 430
 
4.3%
Other values (21) 4062
40.6%

지역교육청명
Categorical

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기도교육청
2102 
경기도화성오산교육지원청
681 
경기도용인교육지원청
637 
경기도수원교육지원청
625 
경기도고양교육지원청
 
527
Other values (22)
5428 

Length

Max length13
Median length10
Mean length9.697
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도교육청
2nd row경기도구리남양주교육지원청
3rd row경기도안양과천교육지원청
4th row경기도안양과천교육지원청
5th row경기도화성오산교육지원청

Common Values

ValueCountFrequency (%)
경기도교육청 2102
21.0%
경기도화성오산교육지원청 681
 
6.8%
경기도용인교육지원청 637
 
6.4%
경기도수원교육지원청 625
 
6.2%
경기도고양교육지원청 527
 
5.3%
경기도구리남양주교육지원청 503
 
5.0%
경기도성남교육지원청 493
 
4.9%
경기도부천교육지원청 394
 
3.9%
경기도평택교육지원청 348
 
3.5%
경기도파주교육지원청 345
 
3.5%
Other values (17) 3345
33.5%

Length

2023-12-11T06:05:05.826726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도교육청 2102
21.0%
경기도화성오산교육지원청 681
 
6.8%
경기도용인교육지원청 637
 
6.4%
경기도수원교육지원청 625
 
6.2%
경기도고양교육지원청 527
 
5.3%
경기도구리남양주교육지원청 503
 
5.0%
경기도성남교육지원청 493
 
4.9%
경기도부천교육지원청 394
 
3.9%
경기도평택교육지원청 348
 
3.5%
경기도파주교육지원청 345
 
3.5%
Other values (17) 3345
33.5%

지역명
Categorical

Distinct42
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기도 화성시
 
659
경기도 부천시
 
524
경기도 남양주시
 
480
경기도 평택시
 
460
경기도 파주시
 
430
Other values (37)
7447 

Length

Max length12
Median length7
Mean length8.6198
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 수원시 영통구
2nd row경기도 남양주시
3rd row경기도 안양시 만안구
4th row경기도 안양시 동안구
5th row경기도 오산시

Common Values

ValueCountFrequency (%)
경기도 화성시 659
 
6.6%
경기도 부천시 524
 
5.2%
경기도 남양주시 480
 
4.8%
경기도 평택시 460
 
4.6%
경기도 파주시 430
 
4.3%
경기도 성남시 분당구 367
 
3.7%
경기도 김포시 329
 
3.3%
경기도 용인시 기흥구 307
 
3.1%
경기도 의정부시 303
 
3.0%
경기도 고양시 덕양구 293
 
2.9%
Other values (32) 5848
58.5%

Length

2023-12-11T06:05:05.942269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 10000
42.1%
수원시 805
 
3.4%
용인시 774
 
3.3%
고양시 710
 
3.0%
화성시 659
 
2.8%
성남시 656
 
2.8%
부천시 524
 
2.2%
남양주시 480
 
2.0%
평택시 460
 
1.9%
안산시 440
 
1.9%
Other values (39) 8220
34.6%

학교명
Text

Distinct2481
Distinct (%)24.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T06:05:06.184677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length6
Mean length6.2674
Min length4

Characters and Unicode

Total characters62674
Distinct characters344
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique134 ?
Unique (%)1.3%

Sample

1st row수원외국어고등학교
2nd row장내중학교
3rd row안양여자중학교
4th row달안초등학교
5th row오산초등학교
ValueCountFrequency (%)
오산초등학교 16
 
0.2%
도래울고등학교 10
 
0.1%
초당초등학교 10
 
0.1%
원일초등학교 10
 
0.1%
상원초등학교 9
 
0.1%
동학중학교 9
 
0.1%
시화초등학교 9
 
0.1%
발곡초등학교 9
 
0.1%
매탄고등학교 9
 
0.1%
내유초등학교 9
 
0.1%
Other values (2472) 9902
99.0%
2023-12-11T06:05:06.590178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 10225
16.3%
학 10150
16.2%
등 7217
 
11.5%
초 5303
 
8.5%
중 2851
 
4.5%
고 2185
 
3.5%
양 626
 
1.0%
산 607
 
1.0%
성 601
 
1.0%
원 579
 
0.9%
Other values (334) 22330
35.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62578
99.8%
Lowercase Letter 32
 
0.1%
Close Punctuation 26
 
< 0.1%
Open Punctuation 26
 
< 0.1%
Uppercase Letter 10
 
< 0.1%
Space Separator 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 10225
16.3%
학 10150
16.2%
등 7217
 
11.5%
초 5303
 
8.5%
중 2851
 
4.6%
고 2185
 
3.5%
양 626
 
1.0%
산 607
 
1.0%
성 601
 
1.0%
원 579
 
0.9%
Other values (319) 22234
35.5%
Lowercase Letter
ValueCountFrequency (%)
s 8
25.0%
e 8
25.0%
n 4
12.5%
i 4
12.5%
u 2
 
6.2%
h 2
 
6.2%
l 2
 
6.2%
g 2
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
T 3
30.0%
I 3
30.0%
B 2
20.0%
E 2
20.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62578
99.8%
Common 54
 
0.1%
Latin 42
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 10225
16.3%
학 10150
16.2%
등 7217
 
11.5%
초 5303
 
8.5%
중 2851
 
4.6%
고 2185
 
3.5%
양 626
 
1.0%
산 607
 
1.0%
성 601
 
1.0%
원 579
 
0.9%
Other values (319) 22234
35.5%
Latin
ValueCountFrequency (%)
s 8
19.0%
e 8
19.0%
n 4
9.5%
i 4
9.5%
T 3
 
7.1%
I 3
 
7.1%
u 2
 
4.8%
B 2
 
4.8%
h 2
 
4.8%
l 2
 
4.8%
Other values (2) 4
9.5%
Common
ValueCountFrequency (%)
) 26
48.1%
( 26
48.1%
2
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62578
99.8%
ASCII 96
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 10225
16.3%
학 10150
16.2%
등 7217
 
11.5%
초 5303
 
8.5%
중 2851
 
4.6%
고 2185
 
3.5%
양 626
 
1.0%
산 607
 
1.0%
성 601
 
1.0%
원 579
 
0.9%
Other values (319) 22234
35.5%
ASCII
ValueCountFrequency (%)
) 26
27.1%
( 26
27.1%
s 8
 
8.3%
e 8
 
8.3%
n 4
 
4.2%
i 4
 
4.2%
T 3
 
3.1%
I 3
 
3.1%
u 2
 
2.1%
B 2
 
2.1%
Other values (5) 10
 
10.4%

학교급명
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6379 
초등학교
1899 
중학교
912 
고등학교
732 
특수학교
 
48
Other values (5)
 
30

Length

Max length7
Median length4
Mean length3.9134
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6379
63.8%
초등학교 1899
 
19.0%
중학교 912
 
9.1%
고등학교 732
 
7.3%
특수학교 48
 
0.5%
각종학교(중) 9
 
0.1%
방통고 7
 
0.1%
각종학교(고) 7
 
0.1%
방통중 4
 
< 0.1%
각종학교(초) 3
 
< 0.1%

Length

2023-12-11T06:05:06.744195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:05:06.854407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6379
63.8%
초등학교 1899
 
19.0%
중학교 912
 
9.1%
고등학교 732
 
7.3%
특수학교 48
 
0.5%
각종학교(중 9
 
0.1%
방통고 7
 
0.1%
각종학교(고 7
 
0.1%
방통중 4
 
< 0.1%
각종학교(초 3
 
< 0.1%

설립구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
공립
8906 
사립
1082 
국립
 
12

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 8906
89.1%
사립 1082
 
10.8%
국립 12
 
0.1%

Length

2023-12-11T06:05:07.087587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:05:07.191909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 8906
89.1%
사립 1082
 
10.8%
국립 12
 
0.1%

제외여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9997 
True
 
3
ValueCountFrequency (%)
False 9997
> 99.9%
True 3
 
< 0.1%
2023-12-11T06:05:07.280262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

제외사유
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing9997
Missing (%)> 99.9%
Memory size156.2 KiB
2023-12-11T06:05:07.421965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length16.666667
Min length16

Characters and Unicode

Total characters50
Distinct characters28
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

Unique1 ?
Unique (%)33.3%

Sample

1st row서현고등학교 정보공시로 대체함
2nd row티엘비유글로벌학교(중) 내용 동일
3rd row서현고등학교 정보공시로 대체함
ValueCountFrequency (%)
서현고등학교 2
22.2%
정보공시로 2
22.2%
대체함 2
22.2%
티엘비유글로벌학교(중 1
11.1%
내용 1
11.1%
동일 1
11.1%
2023-12-11T06:05:07.747787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6
 
12.0%
학 3
 
6.0%
교 3
 
6.0%
로 3
 
6.0%
서 2
 
4.0%
시 2
 
4.0%
현 2
 
4.0%
체 2
 
4.0%
대 2
 
4.0%
함 2
 
4.0%
Other values (18) 23
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42
84.0%
Space Separator 6
 
12.0%
Open Punctuation 1
 
2.0%
Close Punctuation 1
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 3
 
7.1%
교 3
 
7.1%
로 3
 
7.1%
서 2
 
4.8%
시 2
 
4.8%
현 2
 
4.8%
체 2
 
4.8%
대 2
 
4.8%
함 2
 
4.8%
공 2
 
4.8%
Other values (15) 19
45.2%
Space Separator
ValueCountFrequency (%)
6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42
84.0%
Common 8
 
16.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 3
 
7.1%
교 3
 
7.1%
로 3
 
7.1%
서 2
 
4.8%
시 2
 
4.8%
현 2
 
4.8%
체 2
 
4.8%
대 2
 
4.8%
함 2
 
4.8%
공 2
 
4.8%
Other values (15) 19
45.2%
Common
ValueCountFrequency (%)
6
75.0%
( 1
 
12.5%
) 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42
84.0%
ASCII 8
 
16.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6
75.0%
( 1
 
12.5%
) 1
 
12.5%
Hangul
ValueCountFrequency (%)
학 3
 
7.1%
교 3
 
7.1%
로 3
 
7.1%
서 2
 
4.8%
시 2
 
4.8%
현 2
 
4.8%
체 2
 
4.8%
대 2
 
4.8%
함 2
 
4.8%
공 2
 
4.8%
Other values (15) 19
45.2%

교장남성수(명)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
6199 
0
3512 
2
 
284
<NA>
 
3
3
 
2

Length

Max length4
Median length1
Mean length1.0009
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 6199
62.0%
0 3512
35.1%
2 284
 
2.8%
<NA> 3
 
< 0.1%
3 2
 
< 0.1%

Length

2023-12-11T06:05:07.899314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:05:08.006020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 6199
62.0%
0 3512
35.1%
2 284
 
2.8%
na 3
 
< 0.1%
3 2
 
< 0.1%

교장여성수(명)
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6540 
1
3334 
2
 
123
<NA>
 
3

Length

Max length4
Median length1
Mean length1.0009
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 6540
65.4%
1 3334
33.3%
2 123
 
1.2%
<NA> 3
 
< 0.1%

Length

2023-12-11T06:05:08.125954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:05:08.234676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6540
65.4%
1 3334
33.3%
2 123
 
1.2%
na 3
 
< 0.1%

교장합계수(명)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
8817 
2
 
753
0
 
417
3
 
10
<NA>
 
3

Length

Max length4
Median length1
Mean length1.0009
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 8817
88.2%
2 753
 
7.5%
0 417
 
4.2%
3 10
 
0.1%
<NA> 3
 
< 0.1%

Length

2023-12-11T06:05:08.342442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:05:08.444335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 8817
88.2%
2 753
 
7.5%
0 417
 
4.2%
3 10
 
0.1%
na 3
 
< 0.1%

교감남성수(명)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.55586676
Minimum0
Maximum5
Zeros4873
Zeros (%)48.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:05:08.536794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.58561252
Coefficient of variation (CV)1.0535124
Kurtosis0.67245048
Mean0.55586676
Median Absolute Deviation (MAD)1
Skewness0.67028832
Sum5557
Variance0.34294202
MonotonicityNot monotonic
2023-12-11T06:05:08.641202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 4873
48.7%
1 4730
47.3%
2 361
 
3.6%
3 29
 
0.3%
5 2
 
< 0.1%
4 2
 
< 0.1%
(Missing) 3
 
< 0.1%
ValueCountFrequency (%)
0 4873
48.7%
1 4730
47.3%
2 361
 
3.6%
3 29
 
0.3%
4 2
 
< 0.1%
5 2
 
< 0.1%
ValueCountFrequency (%)
5 2
 
< 0.1%
4 2
 
< 0.1%
3 29
 
0.3%
2 361
 
3.6%
1 4730
47.3%
0 4873
48.7%

교감여성수(명)
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
5371 
1
4306 
2
 
295
3
 
25
<NA>
 
3

Length

Max length4
Median length1
Mean length1.0009
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 5371
53.7%
1 4306
43.1%
2 295
 
2.9%
3 25
 
0.2%
<NA> 3
 
< 0.1%

Length

2023-12-11T06:05:08.778815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:05:08.880645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5371
53.7%
1 4306
43.1%
2 295
 
2.9%
3 25
 
0.2%
na 3
 
< 0.1%

교감여성수(명).1
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.0531159
Minimum0
Maximum7
Zeros834
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:05:09.005599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.51767436
Coefficient of variation (CV)0.49156445
Kurtosis10.314878
Mean1.0531159
Median Absolute Deviation (MAD)0
Skewness1.5756905
Sum10528
Variance0.26798674
MonotonicityNot monotonic
2023-12-11T06:05:09.137978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 7988
79.9%
2 1029
 
10.3%
0 834
 
8.3%
3 115
 
1.1%
4 23
 
0.2%
5 5
 
0.1%
7 2
 
< 0.1%
6 1
 
< 0.1%
(Missing) 3
 
< 0.1%
ValueCountFrequency (%)
0 834
 
8.3%
1 7988
79.9%
2 1029
 
10.3%
3 115
 
1.1%
4 23
 
0.2%
5 5
 
0.1%
6 1
 
< 0.1%
7 2
 
< 0.1%
ValueCountFrequency (%)
7 2
 
< 0.1%
6 1
 
< 0.1%
5 5
 
0.1%
4 23
 
0.2%
3 115
 
1.1%
2 1029
 
10.3%
1 7988
79.9%
0 834
 
8.3%

수석교사남성수(명)
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9619 
1
 
378
<NA>
 
3

Length

Max length4
Median length1
Mean length1.0009
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 9619
96.2%
1 378
 
3.8%
<NA> 3
 
< 0.1%

Length

2023-12-11T06:05:09.265203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:05:09.407774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9619
96.2%
1 378
 
3.8%
na 3
 
< 0.1%

수석교사여성수(명)
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9018 
1
978 
<NA>
 
3
2
 
1

Length

Max length4
Median length1
Mean length1.0009
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 9018
90.2%
1 978
 
9.8%
<NA> 3
 
< 0.1%
2 1
 
< 0.1%

Length

2023-12-11T06:05:09.509611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:05:09.612643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9018
90.2%
1 978
 
9.8%
na 3
 
< 0.1%
2 1
 
< 0.1%

수석교사합계수(명)
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
8641 
1
1354 
<NA>
 
3
2
 
2

Length

Max length4
Median length1
Mean length1.0009
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 8641
86.4%
1 1354
 
13.5%
<NA> 3
 
< 0.1%
2 2
 
< 0.1%

Length

2023-12-11T06:05:09.713722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:05:09.832288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 8641
86.4%
1 1354
 
13.5%
na 3
 
< 0.1%
2 2
 
< 0.1%

정교사1정남성수(명)
Real number (ℝ)

ZEROS 

Distinct66
Distinct (%)0.7%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean7.3862159
Minimum0
Maximum72
Zeros416
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:05:09.949791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q39
95-th percentile24
Maximum72
Range72
Interquartile range (IQR)6

Descriptive statistics

Standard deviation8.1566411
Coefficient of variation (CV)1.1043058
Kurtosis9.6331622
Mean7.3862159
Median Absolute Deviation (MAD)3
Skewness2.6614546
Sum73840
Variance66.530794
MonotonicityNot monotonic
2023-12-11T06:05:10.104728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 1325
13.2%
2 1206
12.1%
4 1151
11.5%
5 882
 
8.8%
1 823
 
8.2%
6 629
 
6.3%
7 474
 
4.7%
0 416
 
4.2%
8 391
 
3.9%
9 307
 
3.1%
Other values (56) 2393
23.9%
ValueCountFrequency (%)
0 416
 
4.2%
1 823
8.2%
2 1206
12.1%
3 1325
13.2%
4 1151
11.5%
5 882
8.8%
6 629
6.3%
7 474
 
4.7%
8 391
 
3.9%
9 307
 
3.1%
ValueCountFrequency (%)
72 1
 
< 0.1%
71 1
 
< 0.1%
70 1
 
< 0.1%
69 1
 
< 0.1%
68 2
 
< 0.1%
67 1
 
< 0.1%
66 2
 
< 0.1%
62 5
0.1%
61 1
 
< 0.1%
60 2
 
< 0.1%

정교사1정여성수(명)
Real number (ℝ)

ZEROS 

Distinct74
Distinct (%)0.7%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean21.169951
Minimum0
Maximum78
Zeros261
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:05:10.253636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median20
Q330
95-th percentile48
Maximum78
Range78
Interquartile range (IQR)21

Descriptive statistics

Standard deviation14.529331
Coefficient of variation (CV)0.6863186
Kurtosis-0.14733298
Mean21.169951
Median Absolute Deviation (MAD)10
Skewness0.59570362
Sum211636
Variance211.10147
MonotonicityNot monotonic
2023-12-11T06:05:10.397478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 397
 
4.0%
3 332
 
3.3%
2 299
 
3.0%
18 288
 
2.9%
24 269
 
2.7%
0 261
 
2.6%
19 257
 
2.6%
23 249
 
2.5%
15 248
 
2.5%
27 247
 
2.5%
Other values (64) 7150
71.5%
ValueCountFrequency (%)
0 261
2.6%
1 223
2.2%
2 299
3.0%
3 332
3.3%
4 397
4.0%
5 246
2.5%
6 216
2.2%
7 204
2.0%
8 189
1.9%
9 176
1.8%
ValueCountFrequency (%)
78 2
 
< 0.1%
73 2
 
< 0.1%
72 1
 
< 0.1%
71 1
 
< 0.1%
70 2
 
< 0.1%
69 7
0.1%
67 3
 
< 0.1%
66 10
0.1%
65 10
0.1%
64 8
0.1%

정교사1정합계수(명)
Real number (ℝ)

ZEROS 

Distinct94
Distinct (%)0.9%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean28.556167
Minimum0
Maximum96
Zeros159
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:05:10.540406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q115
median26
Q339
95-th percentile62.2
Maximum96
Range96
Interquartile range (IQR)24

Descriptive statistics

Standard deviation17.835061
Coefficient of variation (CV)0.62456076
Kurtosis0.0074871467
Mean28.556167
Median Absolute Deviation (MAD)12
Skewness0.64092025
Sum285476
Variance318.08941
MonotonicityNot monotonic
2023-12-11T06:05:10.877096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 349
 
3.5%
6 303
 
3.0%
25 262
 
2.6%
23 240
 
2.4%
26 240
 
2.4%
29 230
 
2.3%
24 230
 
2.3%
34 228
 
2.3%
27 224
 
2.2%
31 219
 
2.2%
Other values (84) 7472
74.7%
ValueCountFrequency (%)
0 159
1.6%
1 35
 
0.4%
2 46
 
0.5%
3 89
 
0.9%
4 154
1.5%
5 185
1.8%
6 303
3.0%
7 349
3.5%
8 206
2.1%
9 136
 
1.4%
ValueCountFrequency (%)
96 1
 
< 0.1%
95 2
 
< 0.1%
92 1
 
< 0.1%
90 1
 
< 0.1%
89 3
 
< 0.1%
88 1
 
< 0.1%
87 3
 
< 0.1%
86 5
0.1%
85 9
0.1%
84 5
0.1%

정교사2정남성수(명)
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)0.3%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.7471241
Minimum0
Maximum39
Zeros1800
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:05:11.000303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile8
Maximum39
Range39
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.7609278
Coefficient of variation (CV)1.0050248
Kurtosis16.016546
Mean2.7471241
Median Absolute Deviation (MAD)1
Skewness2.5458307
Sum27463
Variance7.6227221
MonotonicityNot monotonic
2023-12-11T06:05:11.133213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 2054
20.5%
2 1869
18.7%
0 1800
18.0%
3 1422
14.2%
4 946
9.5%
5 628
 
6.3%
6 414
 
4.1%
7 278
 
2.8%
8 179
 
1.8%
9 140
 
1.4%
Other values (19) 267
 
2.7%
ValueCountFrequency (%)
0 1800
18.0%
1 2054
20.5%
2 1869
18.7%
3 1422
14.2%
4 946
9.5%
5 628
 
6.3%
6 414
 
4.1%
7 278
 
2.8%
8 179
 
1.8%
9 140
 
1.4%
ValueCountFrequency (%)
39 2
< 0.1%
37 1
 
< 0.1%
33 2
< 0.1%
31 1
 
< 0.1%
26 1
 
< 0.1%
23 1
 
< 0.1%
22 1
 
< 0.1%
21 2
< 0.1%
20 3
< 0.1%
19 2
< 0.1%

정교사2정여성수(명)
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)0.4%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean6.6497949
Minimum0
Maximum36
Zeros835
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:05:11.257391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median6
Q39
95-th percentile17
Maximum36
Range36
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.2604336
Coefficient of variation (CV)0.79106705
Kurtosis1.8813959
Mean6.6497949
Median Absolute Deviation (MAD)3
Skewness1.1898702
Sum66478
Variance27.672162
MonotonicityNot monotonic
2023-12-11T06:05:11.378216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 835
 
8.3%
4 834
 
8.3%
2 827
 
8.3%
3 824
 
8.2%
5 815
 
8.2%
6 801
 
8.0%
7 749
 
7.5%
1 685
 
6.9%
8 652
 
6.5%
9 582
 
5.8%
Other values (25) 2393
23.9%
ValueCountFrequency (%)
0 835
8.3%
1 685
6.9%
2 827
8.3%
3 824
8.2%
4 834
8.3%
5 815
8.2%
6 801
8.0%
7 749
7.5%
8 652
6.5%
9 582
5.8%
ValueCountFrequency (%)
36 3
 
< 0.1%
34 2
 
< 0.1%
32 2
 
< 0.1%
31 3
 
< 0.1%
30 4
 
< 0.1%
29 4
 
< 0.1%
28 16
0.2%
27 12
0.1%
26 17
0.2%
25 15
0.1%

정교사2정합계수(명)
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)0.5%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean9.3969191
Minimum0
Maximum70
Zeros542
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:05:11.510984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median8
Q313
95-th percentile23
Maximum70
Range70
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.1644424
Coefficient of variation (CV)0.76242461
Kurtosis3.5112484
Mean9.3969191
Median Absolute Deviation (MAD)4
Skewness1.3567107
Sum93941
Variance51.329234
MonotonicityNot monotonic
2023-12-11T06:05:11.650580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 679
 
6.8%
7 671
 
6.7%
8 628
 
6.3%
4 602
 
6.0%
9 600
 
6.0%
5 579
 
5.8%
3 571
 
5.7%
2 567
 
5.7%
0 542
 
5.4%
10 504
 
5.0%
Other values (43) 4054
40.5%
ValueCountFrequency (%)
0 542
5.4%
1 435
4.3%
2 567
5.7%
3 571
5.7%
4 602
6.0%
5 579
5.8%
6 679
6.8%
7 671
6.7%
8 628
6.3%
9 600
6.0%
ValueCountFrequency (%)
70 1
< 0.1%
67 1
< 0.1%
65 1
< 0.1%
60 2
< 0.1%
57 1
< 0.1%
56 1
< 0.1%
53 1
< 0.1%
47 1
< 0.1%
45 2
< 0.1%
44 2
< 0.1%

특수교사1정남성수(명)
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)0.2%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.1736521
Minimum0
Maximum22
Zeros9327
Zeros (%)93.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:05:11.787171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum22
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1462895
Coefficient of variation (CV)6.6010691
Kurtosis122.63011
Mean0.1736521
Median Absolute Deviation (MAD)0
Skewness10.389385
Sum1736
Variance1.3139796
MonotonicityNot monotonic
2023-12-11T06:05:11.885557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 9327
93.3%
1 512
 
5.1%
2 23
 
0.2%
4 17
 
0.2%
9 13
 
0.1%
5 12
 
0.1%
3 12
 
0.1%
6 11
 
0.1%
10 10
 
0.1%
8 9
 
0.1%
Other values (10) 51
 
0.5%
ValueCountFrequency (%)
0 9327
93.3%
1 512
 
5.1%
2 23
 
0.2%
3 12
 
0.1%
4 17
 
0.2%
5 12
 
0.1%
6 11
 
0.1%
7 9
 
0.1%
8 9
 
0.1%
9 13
 
0.1%
ValueCountFrequency (%)
22 1
 
< 0.1%
18 2
 
< 0.1%
17 1
 
< 0.1%
16 8
0.1%
15 8
0.1%
14 6
0.1%
13 3
 
< 0.1%
12 7
0.1%
11 6
0.1%
10 10
0.1%

특수교사1정여성수(명)
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)0.4%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.75952786
Minimum0
Maximum47
Zeros6077
Zeros (%)60.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:05:12.001059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum47
Range47
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.9714512
Coefficient of variation (CV)3.9122347
Kurtosis111.04968
Mean0.75952786
Median Absolute Deviation (MAD)0
Skewness9.9851485
Sum7593
Variance8.8295223
MonotonicityNot monotonic
2023-12-11T06:05:12.121673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 6077
60.8%
1 3215
32.1%
2 469
 
4.7%
3 77
 
0.8%
4 20
 
0.2%
14 10
 
0.1%
15 7
 
0.1%
6 7
 
0.1%
40 6
 
0.1%
10 6
 
0.1%
Other values (31) 103
 
1.0%
ValueCountFrequency (%)
0 6077
60.8%
1 3215
32.1%
2 469
 
4.7%
3 77
 
0.8%
4 20
 
0.2%
5 4
 
< 0.1%
6 7
 
0.1%
9 3
 
< 0.1%
10 6
 
0.1%
11 6
 
0.1%
ValueCountFrequency (%)
47 1
 
< 0.1%
44 1
 
< 0.1%
43 1
 
< 0.1%
42 2
 
< 0.1%
41 2
 
< 0.1%
40 6
0.1%
39 1
 
< 0.1%
38 2
 
< 0.1%
37 5
0.1%
35 4
< 0.1%

특수교사1정합계수(명)
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)0.5%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.93317995
Minimum0
Maximum53
Zeros5701
Zeros (%)57.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:05:12.232918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum53
Range53
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.8628623
Coefficient of variation (CV)4.1394613
Kurtosis91.357919
Mean0.93317995
Median Absolute Deviation (MAD)0
Skewness9.2397346
Sum9329
Variance14.921705
MonotonicityNot monotonic
2023-12-11T06:05:12.375498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 5701
57.0%
1 3457
34.6%
2 575
 
5.8%
3 91
 
0.9%
4 23
 
0.2%
43 13
 
0.1%
28 10
 
0.1%
25 8
 
0.1%
5 7
 
0.1%
19 6
 
0.1%
Other values (38) 106
 
1.1%
ValueCountFrequency (%)
0 5701
57.0%
1 3457
34.6%
2 575
 
5.8%
3 91
 
0.9%
4 23
 
0.2%
5 7
 
0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
53 1
 
< 0.1%
50 2
 
< 0.1%
49 1
 
< 0.1%
48 2
 
< 0.1%
46 5
 
0.1%
45 3
 
< 0.1%
44 5
 
0.1%
43 13
0.1%
42 5
 
0.1%
41 5
 
0.1%

특수교사2정남성수(명)
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)0.2%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.30039012
Minimum0
Maximum22
Zeros8236
Zeros (%)82.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:05:12.482004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum22
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1823925
Coefficient of variation (CV)3.9361898
Kurtosis107.9389
Mean0.30039012
Median Absolute Deviation (MAD)0
Skewness9.2711369
Sum3003
Variance1.3980521
MonotonicityNot monotonic
2023-12-11T06:05:12.587008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 8236
82.4%
1 1405
 
14.1%
2 208
 
2.1%
3 32
 
0.3%
4 15
 
0.1%
6 13
 
0.1%
5 13
 
0.1%
8 10
 
0.1%
13 10
 
0.1%
7 9
 
0.1%
Other values (11) 46
 
0.5%
ValueCountFrequency (%)
0 8236
82.4%
1 1405
 
14.1%
2 208
 
2.1%
3 32
 
0.3%
4 15
 
0.1%
5 13
 
0.1%
6 13
 
0.1%
7 9
 
0.1%
8 10
 
0.1%
9 4
 
< 0.1%
ValueCountFrequency (%)
22 1
 
< 0.1%
21 1
 
< 0.1%
18 3
 
< 0.1%
17 2
 
< 0.1%
16 2
 
< 0.1%
15 7
0.1%
14 7
0.1%
13 10
0.1%
12 6
0.1%
11 6
0.1%

특수교사2정여성수(명)
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)0.3%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.76362909
Minimum0
Maximum36
Zeros5628
Zeros (%)56.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:05:12.717323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum36
Range36
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.1281112
Coefficient of variation (CV)2.7868388
Kurtosis140.16167
Mean0.76362909
Median Absolute Deviation (MAD)0
Skewness10.656054
Sum7634
Variance4.5288571
MonotonicityNot monotonic
2023-12-11T06:05:12.841744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 5628
56.3%
1 3085
30.9%
2 870
 
8.7%
3 227
 
2.3%
4 65
 
0.7%
5 21
 
0.2%
8 11
 
0.1%
6 10
 
0.1%
12 10
 
0.1%
7 9
 
0.1%
Other values (23) 61
 
0.6%
ValueCountFrequency (%)
0 5628
56.3%
1 3085
30.9%
2 870
 
8.7%
3 227
 
2.3%
4 65
 
0.7%
5 21
 
0.2%
6 10
 
0.1%
7 9
 
0.1%
8 11
 
0.1%
9 4
 
< 0.1%
ValueCountFrequency (%)
36 2
 
< 0.1%
35 2
 
< 0.1%
34 3
< 0.1%
32 5
0.1%
31 4
< 0.1%
30 4
< 0.1%
29 2
 
< 0.1%
28 3
< 0.1%
27 4
< 0.1%
25 4
< 0.1%

특수교사2정합계수(명)
Real number (ℝ)

ZEROS 

Distinct49
Distinct (%)0.5%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.0640192
Minimum0
Maximum55
Zeros4929
Zeros (%)49.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:05:12.953723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum55
Range55
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.1505989
Coefficient of variation (CV)2.9610357
Kurtosis135.24171
Mean1.0640192
Median Absolute Deviation (MAD)1
Skewness10.630533
Sum10637
Variance9.9262733
MonotonicityNot monotonic
2023-12-11T06:05:13.073038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 4929
49.3%
1 3182
31.8%
2 1127
 
11.3%
3 384
 
3.8%
4 172
 
1.7%
5 56
 
0.6%
6 16
 
0.2%
8 12
 
0.1%
9 10
 
0.1%
10 9
 
0.1%
Other values (39) 100
 
1.0%
ValueCountFrequency (%)
0 4929
49.3%
1 3182
31.8%
2 1127
 
11.3%
3 384
 
3.8%
4 172
 
1.7%
5 56
 
0.6%
6 16
 
0.2%
7 8
 
0.1%
8 12
 
0.1%
9 10
 
0.1%
ValueCountFrequency (%)
55 1
 
< 0.1%
54 1
 
< 0.1%
51 3
< 0.1%
49 1
 
< 0.1%
48 3
< 0.1%
47 3
< 0.1%
46 1
 
< 0.1%
44 1
 
< 0.1%
43 3
< 0.1%
42 3
< 0.1%

준교사남성수(명)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9970 
1
 
20
2
 
6
<NA>
 
3
3
 
1

Length

Max length4
Median length1
Mean length1.0009
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 9970
99.7%
1 20
 
0.2%
2 6
 
0.1%
<NA> 3
 
< 0.1%
3 1
 
< 0.1%

Length

2023-12-11T06:05:13.193720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:05:13.295338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9970
99.7%
1 20
 
0.2%
2 6
 
0.1%
na 3
 
< 0.1%
3 1
 
< 0.1%

준교사여성수(명)
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9967 
1
 
29
<NA>
 
3
2
 
1

Length

Max length4
Median length1
Mean length1.0009
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 9967
99.7%
1 29
 
0.3%
<NA> 3
 
< 0.1%
2 1
 
< 0.1%

Length

2023-12-11T06:05:13.409946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:05:13.506698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9967
99.7%
1 29
 
0.3%
na 3
 
< 0.1%
2 1
 
< 0.1%

준교사합계수(명)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9941 
1
 
47
2
 
8
<NA>
 
3
3
 
1

Length

Max length4
Median length1
Mean length1.0009
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 9941
99.4%
1 47
 
0.5%
2 8
 
0.1%
<NA> 3
 
< 0.1%
3 1
 
< 0.1%

Length

2023-12-11T06:05:13.609112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:05:13.702195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9941
99.4%
1 47
 
0.5%
2 8
 
0.1%
na 3
 
< 0.1%
3 1
 
< 0.1%

실기교사남성수(명)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9962 
1
 
32
<NA>
 
3
4
 
2
6
 
1

Length

Max length4
Median length1
Mean length1.0009
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 9962
99.6%
1 32
 
0.3%
<NA> 3
 
< 0.1%
4 2
 
< 0.1%
6 1
 
< 0.1%

Length

2023-12-11T06:05:13.819654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:05:13.925883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9962
99.6%
1 32
 
0.3%
na 3
 
< 0.1%
4 2
 
< 0.1%
6 1
 
< 0.1%

실기교사여성수(명)
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9988 
1
 
9
<NA>
 
3

Length

Max length4
Median length1
Mean length1.0009
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 9988
99.9%
1 9
 
0.1%
<NA> 3
 
< 0.1%

Length

2023-12-11T06:05:14.021356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:05:14.116604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9988
99.9%
1 9
 
0.1%
na 3
 
< 0.1%

실기교사합계수(명)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9953 
1
 
41
<NA>
 
3
4
 
2
6
 
1

Length

Max length4
Median length1
Mean length1.0009
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 9953
99.5%
1 41
 
0.4%
<NA> 3
 
< 0.1%
4 2
 
< 0.1%
6 1
 
< 0.1%

Length

2023-12-11T06:05:14.230394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:05:14.327769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9953
99.5%
1 41
 
0.4%
na 3
 
< 0.1%
4 2
 
< 0.1%
6 1
 
< 0.1%

전문상담교사남성수(명)
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9656 
1
 
335
2
 
6
<NA>
 
3

Length

Max length4
Median length1
Mean length1.0009
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 9656
96.6%
1 335
 
3.4%
2 6
 
0.1%
<NA> 3
 
< 0.1%

Length

2023-12-11T06:05:14.422160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:05:14.513278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9656
96.6%
1 335
 
3.4%
2 6
 
0.1%
na 3
 
< 0.1%

전문상담교사여성수(명)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
7997 
1
1782 
2
 
215
3
 
3
<NA>
 
3

Length

Max length4
Median length1
Mean length1.0009
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 7997
80.0%
1 1782
 
17.8%
2 215
 
2.1%
3 3
 
< 0.1%
<NA> 3
 
< 0.1%

Length

2023-12-11T06:05:14.619217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:05:14.721838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 7997
80.0%
1 1782
 
17.8%
2 215
 
2.1%
3 3
 
< 0.1%
na 3
 
< 0.1%

전문상담교사합계수(명)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
7708 
1
2014 
2
 
271
3
 
4
<NA>
 
3

Length

Max length4
Median length1
Mean length1.0009
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 7708
77.1%
1 2014
 
20.1%
2 271
 
2.7%
3 4
 
< 0.1%
<NA> 3
 
< 0.1%

Length

2023-12-11T06:05:14.860208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:05:15.009765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 7708
77.1%
1 2014
 
20.1%
2 271
 
2.7%
3 4
 
< 0.1%
na 3
 
< 0.1%

사서교사남성수(명)
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9966 
1
 
31
<NA>
 
3

Length

Max length4
Median length1
Mean length1.0009
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 9966
99.7%
1 31
 
0.3%
<NA> 3
 
< 0.1%

Length

2023-12-11T06:05:15.157515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:05:15.252708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9966
99.7%
1 31
 
0.3%
na 3
 
< 0.1%

사서교사여성수(명)
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9109 
1
 
834
2
 
54
<NA>
 
3

Length

Max length4
Median length1
Mean length1.0009
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 9109
91.1%
1 834
 
8.3%
2 54
 
0.5%
<NA> 3
 
< 0.1%

Length

2023-12-11T06:05:15.348477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:05:15.444302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9109
91.1%
1 834
 
8.3%
2 54
 
0.5%
na 3
 
< 0.1%

사서교사합계수(명)
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9081 
1
 
859
2
 
57
<NA>
 
3

Length

Max length4
Median length1
Mean length1.0009
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 9081
90.8%
1 859
 
8.6%
2 57
 
0.6%
<NA> 3
 
< 0.1%

Length

2023-12-11T06:05:15.549365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:05:15.658745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9081
90.8%
1 859
 
8.6%
2 57
 
0.6%
na 3
 
< 0.1%

보건교사남성수(명)
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9989 
1
 
8
<NA>
 
3

Length

Max length4
Median length1
Mean length1.0009
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 9989
99.9%
1 8
 
0.1%
<NA> 3
 
< 0.1%

Length

2023-12-11T06:05:15.783831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:05:15.882489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9989
99.9%
1 8
 
0.1%
na 3
 
< 0.1%

보건교사여성수(명)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.0082025
Minimum0
Maximum11
Zeros743
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:05:15.969805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4503486
Coefficient of variation (CV)0.44668469
Kurtosis67.113433
Mean1.0082025
Median Absolute Deviation (MAD)0
Skewness3.9921361
Sum10079
Variance0.20281387
MonotonicityNot monotonic
2023-12-11T06:05:16.069199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 8507
85.1%
0 743
 
7.4%
2 723
 
7.2%
3 8
 
0.1%
4 4
 
< 0.1%
8 4
 
< 0.1%
5 3
 
< 0.1%
6 2
 
< 0.1%
11 1
 
< 0.1%
9 1
 
< 0.1%
(Missing) 3
 
< 0.1%
ValueCountFrequency (%)
0 743
 
7.4%
1 8507
85.1%
2 723
 
7.2%
3 8
 
0.1%
4 4
 
< 0.1%
5 3
 
< 0.1%
6 2
 
< 0.1%
7 1
 
< 0.1%
8 4
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
11 1
 
< 0.1%
9 1
 
< 0.1%
8 4
 
< 0.1%
7 1
 
< 0.1%
6 2
 
< 0.1%
5 3
 
< 0.1%
4 4
 
< 0.1%
3 8
 
0.1%
2 723
 
7.2%
1 8507
85.1%

보건요사합계수(명)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.0090027
Minimum0
Maximum11
Zeros737
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:05:16.168787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.45188567
Coefficient of variation (CV)0.44785377
Kurtosis68.604927
Mean1.0090027
Median Absolute Deviation (MAD)0
Skewness4.1171813
Sum10087
Variance0.20420066
MonotonicityNot monotonic
2023-12-11T06:05:16.506738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 8513
85.1%
0 737
 
7.4%
2 723
 
7.2%
3 8
 
0.1%
4 4
 
< 0.1%
8 4
 
< 0.1%
5 2
 
< 0.1%
6 2
 
< 0.1%
7 2
 
< 0.1%
11 1
 
< 0.1%
(Missing) 3
 
< 0.1%
ValueCountFrequency (%)
0 737
 
7.4%
1 8513
85.1%
2 723
 
7.2%
3 8
 
0.1%
4 4
 
< 0.1%
5 2
 
< 0.1%
6 2
 
< 0.1%
7 2
 
< 0.1%
8 4
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
11 1
 
< 0.1%
9 1
 
< 0.1%
8 4
 
< 0.1%
7 2
 
< 0.1%
6 2
 
< 0.1%
5 2
 
< 0.1%
4 4
 
< 0.1%
3 8
 
0.1%
2 723
 
7.2%
1 8513
85.1%

영양교사남성수(명)
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9988 
1
 
9
<NA>
 
3

Length

Max length4
Median length1
Mean length1.0009
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 9988
99.9%
1 9
 
0.1%
<NA> 3
 
< 0.1%

Length

2023-12-11T06:05:16.615662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:05:16.701140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9988
99.9%
1 9
 
0.1%
na 3
 
< 0.1%

영양교사여성수(명)
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6048 
1
3580 
2
 
369
<NA>
 
3

Length

Max length4
Median length1
Mean length1.0009
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 6048
60.5%
1 3580
35.8%
2 369
 
3.7%
<NA> 3
 
< 0.1%

Length

2023-12-11T06:05:16.799863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:05:16.903079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6048
60.5%
1 3580
35.8%
2 369
 
3.7%
na 3
 
< 0.1%

영양교사합계수(명)
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6039 
1
3589 
2
 
369
<NA>
 
3

Length

Max length4
Median length1
Mean length1.0009
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 6039
60.4%
1 3589
35.9%
2 369
 
3.7%
<NA> 3
 
< 0.1%

Length

2023-12-11T06:05:17.024644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:05:17.124607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6039
60.4%
1 3589
35.9%
2 369
 
3.7%
na 3
 
< 0.1%

해당없음남성수(명)
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.092327698
Minimum0
Maximum13
Zeros9387
Zeros (%)93.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:05:17.225352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.49464737
Coefficient of variation (CV)5.3575187
Kurtosis177.00825
Mean0.092327698
Median Absolute Deviation (MAD)0
Skewness10.772281
Sum923
Variance0.24467602
MonotonicityNot monotonic
2023-12-11T06:05:17.356544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 9387
93.9%
1 483
 
4.8%
2 52
 
0.5%
3 31
 
0.3%
4 21
 
0.2%
5 9
 
0.1%
7 5
 
0.1%
6 3
 
< 0.1%
13 2
 
< 0.1%
8 2
 
< 0.1%
Other values (2) 2
 
< 0.1%
(Missing) 3
 
< 0.1%
ValueCountFrequency (%)
0 9387
93.9%
1 483
 
4.8%
2 52
 
0.5%
3 31
 
0.3%
4 21
 
0.2%
5 9
 
0.1%
6 3
 
< 0.1%
7 5
 
0.1%
8 2
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
13 2
 
< 0.1%
10 1
 
< 0.1%
9 1
 
< 0.1%
8 2
 
< 0.1%
7 5
 
0.1%
6 3
 
< 0.1%
5 9
 
0.1%
4 21
0.2%
3 31
0.3%
2 52
0.5%

해당없음여성수(명)
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.17075123
Minimum0
Maximum13
Zeros8790
Zeros (%)87.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:05:17.462283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.63946566
Coefficient of variation (CV)3.7450136
Kurtosis110.75127
Mean0.17075123
Median Absolute Deviation (MAD)0
Skewness8.4495809
Sum1707
Variance0.40891633
MonotonicityNot monotonic
2023-12-11T06:05:17.561133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 8790
87.9%
1 982
 
9.8%
2 133
 
1.3%
3 38
 
0.4%
4 14
 
0.1%
6 13
 
0.1%
5 8
 
0.1%
7 8
 
0.1%
12 4
 
< 0.1%
8 3
 
< 0.1%
Other values (4) 4
 
< 0.1%
(Missing) 3
 
< 0.1%
ValueCountFrequency (%)
0 8790
87.9%
1 982
 
9.8%
2 133
 
1.3%
3 38
 
0.4%
4 14
 
0.1%
5 8
 
0.1%
6 13
 
0.1%
7 8
 
0.1%
8 3
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
13 1
 
< 0.1%
12 4
 
< 0.1%
11 1
 
< 0.1%
10 1
 
< 0.1%
9 1
 
< 0.1%
8 3
 
< 0.1%
7 8
0.1%
6 13
0.1%
5 8
0.1%
4 14
0.1%

해당없음합계수(명)
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)0.2%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.26307892
Minimum0
Maximum21
Zeros8382
Zeros (%)83.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:05:17.681288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.99499058
Coefficient of variation (CV)3.7820992
Kurtosis128.94699
Mean0.26307892
Median Absolute Deviation (MAD)0
Skewness9.511001
Sum2630
Variance0.99000625
MonotonicityNot monotonic
2023-12-11T06:05:17.779881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 8382
83.8%
1 1277
 
12.8%
2 173
 
1.7%
3 57
 
0.6%
5 21
 
0.2%
4 19
 
0.2%
7 14
 
0.1%
6 12
 
0.1%
8 11
 
0.1%
14 8
 
0.1%
Other values (9) 23
 
0.2%
ValueCountFrequency (%)
0 8382
83.8%
1 1277
 
12.8%
2 173
 
1.7%
3 57
 
0.6%
4 19
 
0.2%
5 21
 
0.2%
6 12
 
0.1%
7 14
 
0.1%
8 11
 
0.1%
9 5
 
0.1%
ValueCountFrequency (%)
21 2
 
< 0.1%
19 2
 
< 0.1%
16 1
 
< 0.1%
15 1
 
< 0.1%
14 8
0.1%
13 1
 
< 0.1%
12 1
 
< 0.1%
11 4
< 0.1%
10 6
0.1%
9 5
0.1%

합계남성수(명)
Real number (ℝ)

Distinct78
Distinct (%)0.8%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean12.018506
Minimum0
Maximum89
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:05:17.895843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q16
median9
Q315
95-th percentile33
Maximum89
Range89
Interquartile range (IQR)9

Descriptive statistics

Standard deviation10.110749
Coefficient of variation (CV)0.84126509
Kurtosis6.6067291
Mean12.018506
Median Absolute Deviation (MAD)4
Skewness2.2168142
Sum120149
Variance102.22725
MonotonicityNot monotonic
2023-12-11T06:05:18.026713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 890
 
8.9%
6 881
 
8.8%
7 841
 
8.4%
4 738
 
7.4%
8 714
 
7.1%
9 597
 
6.0%
3 505
 
5.1%
10 447
 
4.5%
11 420
 
4.2%
12 347
 
3.5%
Other values (68) 3617
36.2%
ValueCountFrequency (%)
0 12
 
0.1%
1 96
 
1.0%
2 245
 
2.5%
3 505
5.1%
4 738
7.4%
5 890
8.9%
6 881
8.8%
7 841
8.4%
8 714
7.1%
9 597
6.0%
ValueCountFrequency (%)
89 1
 
< 0.1%
84 1
 
< 0.1%
81 1
 
< 0.1%
79 1
 
< 0.1%
78 1
 
< 0.1%
77 1
 
< 0.1%
76 2
 
< 0.1%
73 2
 
< 0.1%
72 4
< 0.1%
71 5
0.1%

합계여성수(명)
Real number (ℝ)

Distinct94
Distinct (%)0.9%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean32.227568
Minimum0
Maximum99
Zeros20
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:05:18.145842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q118
median32
Q344
95-th percentile65
Maximum99
Range99
Interquartile range (IQR)26

Descriptive statistics

Standard deviation18.175436
Coefficient of variation (CV)0.56397168
Kurtosis-0.31380744
Mean32.227568
Median Absolute Deviation (MAD)13
Skewness0.40256431
Sum322179
Variance330.34647
MonotonicityNot monotonic
2023-12-11T06:05:18.277682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36 235
 
2.4%
7 226
 
2.3%
23 224
 
2.2%
8 219
 
2.2%
38 219
 
2.2%
37 219
 
2.2%
35 213
 
2.1%
6 212
 
2.1%
31 209
 
2.1%
34 208
 
2.1%
Other values (84) 7813
78.1%
ValueCountFrequency (%)
0 20
 
0.2%
1 23
 
0.2%
2 39
 
0.4%
3 72
 
0.7%
4 143
1.4%
5 185
1.8%
6 212
2.1%
7 226
2.3%
8 219
2.2%
9 203
2.0%
ValueCountFrequency (%)
99 2
 
< 0.1%
97 1
 
< 0.1%
95 4
< 0.1%
91 1
 
< 0.1%
89 4
< 0.1%
88 2
 
< 0.1%
87 4
< 0.1%
86 3
< 0.1%
85 7
0.1%
84 5
0.1%

합계(명)
Real number (ℝ)

Distinct126
Distinct (%)1.3%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean44.246074
Minimum1
Maximum140
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:05:18.394944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11
Q127
median42
Q359
95-th percentile86
Maximum140
Range139
Interquartile range (IQR)32

Descriptive statistics

Standard deviation23.040968
Coefficient of variation (CV)0.52074605
Kurtosis-0.12129881
Mean44.246074
Median Absolute Deviation (MAD)16
Skewness0.5086226
Sum442328
Variance530.88622
MonotonicityNot monotonic
2023-12-11T06:05:18.519474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 269
 
2.7%
10 213
 
2.1%
12 208
 
2.1%
41 195
 
1.9%
38 193
 
1.9%
43 188
 
1.9%
39 185
 
1.8%
47 183
 
1.8%
46 180
 
1.8%
30 173
 
1.7%
Other values (116) 8010
80.1%
ValueCountFrequency (%)
1 10
 
0.1%
2 11
 
0.1%
3 17
 
0.2%
4 13
 
0.1%
5 12
 
0.1%
6 20
 
0.2%
7 12
 
0.1%
8 17
 
0.2%
9 86
0.9%
10 213
2.1%
ValueCountFrequency (%)
140 1
 
< 0.1%
132 1
 
< 0.1%
131 1
 
< 0.1%
127 2
 
< 0.1%
125 1
 
< 0.1%
124 2
 
< 0.1%
123 1
 
< 0.1%
121 5
0.1%
120 3
< 0.1%
118 4
< 0.1%

Sample

기준년도시군명지역교육청명지역명학교명학교급명설립구분명제외여부제외사유교장남성수(명)교장여성수(명)교장합계수(명)교감남성수(명)교감여성수(명)교감여성수(명).1수석교사남성수(명)수석교사여성수(명)수석교사합계수(명)정교사1정남성수(명)정교사1정여성수(명)정교사1정합계수(명)정교사2정남성수(명)정교사2정여성수(명)정교사2정합계수(명)특수교사1정남성수(명)특수교사1정여성수(명)특수교사1정합계수(명)특수교사2정남성수(명)특수교사2정여성수(명)특수교사2정합계수(명)준교사남성수(명)준교사여성수(명)준교사합계수(명)실기교사남성수(명)실기교사여성수(명)실기교사합계수(명)전문상담교사남성수(명)전문상담교사여성수(명)전문상담교사합계수(명)사서교사남성수(명)사서교사여성수(명)사서교사합계수(명)보건교사남성수(명)보건교사여성수(명)보건요사합계수(명)영양교사남성수(명)영양교사여성수(명)영양교사합계수(명)해당없음남성수(명)해당없음여성수(명)해당없음합계수(명)합계남성수(명)합계여성수(명)합계(명)
189592016수원시경기도교육청경기도 수원시 영통구수원외국어고등학교고등학교공립N<NA>011101000183149088000000000000000000011011000194261
85232018남양주시경기도구리남양주교육지원청경기도 남양주시장내중학교<NA>공립N<NA>011101000528333161901101100000001100002200000095059
150832017안양시경기도안양과천교육지원청경기도 안양시 만안구안양여자중학교<NA>사립N<NA>10110100015823347000000000000011000011000000201434
198842016안양시경기도안양과천교육지원청경기도 안양시 동안구달안초등학교<NA>공립N<NA>0111010110202022400001100000000000001100000032629
57722019오산시경기도화성오산교육지원청경기도 오산시오산초등학교<NA>공립N<NA>01110100082634123011101000000000000011011000113243
98752018안산시경기도안산교육지원청경기도 안산시 단원구선일초등학교<NA>공립N<NA>01110100013922538000112000000000000011000000201535
221142015고양시경기도교육청경기도 고양시 덕양구고양고등학교고등학교공립N<NA>10101110116304651015000246000000011000011000000254772
176262016광주시경기도광주하남교육지원청경기도 광주시번천초등학교<NA>공립N<NA>0110110004370000000000000000000000000110004610
168012017하남시경기도광주하남교육지원청경기도 하남시신장초등학교초등학교공립N<NA>10101100021820391201101100000000000001101110173239
53962019양주시경기도동두천양주교육지원청경기도 양주시삼숭중학교<NA>공립N<NA>011101000102333121224101011000000011011011011000244165
기준년도시군명지역교육청명지역명학교명학교급명설립구분명제외여부제외사유교장남성수(명)교장여성수(명)교장합계수(명)교감남성수(명)교감여성수(명)교감여성수(명).1수석교사남성수(명)수석교사여성수(명)수석교사합계수(명)정교사1정남성수(명)정교사1정여성수(명)정교사1정합계수(명)정교사2정남성수(명)정교사2정여성수(명)정교사2정합계수(명)특수교사1정남성수(명)특수교사1정여성수(명)특수교사1정합계수(명)특수교사2정남성수(명)특수교사2정여성수(명)특수교사2정합계수(명)준교사남성수(명)준교사여성수(명)준교사합계수(명)실기교사남성수(명)실기교사여성수(명)실기교사합계수(명)전문상담교사남성수(명)전문상담교사여성수(명)전문상담교사합계수(명)사서교사남성수(명)사서교사여성수(명)사서교사합계수(명)보건교사남성수(명)보건교사여성수(명)보건요사합계수(명)영양교사남성수(명)영양교사여성수(명)영양교사합계수(명)해당없음남성수(명)해당없음여성수(명)해당없음합계수(명)합계남성수(명)합계여성수(명)합계(명)
55172019양평군경기도양평교육지원청경기도 양평군강하중학교<NA>공립N<NA>10110100036902200001100000001100001100000051116
182042016남양주시경기도구리남양주교육지원청경기도 남양주시광릉초등학교초등학교공립N<NA>0110110006111726800001100000000000001100001182230
71152019화성시경기도화성오산교육지원청경기도 화성시숲속초등학교<NA>공립N<NA>1010110005273205500002200000000000001100000063642
98772018안산시경기도안산교육지원청경기도 안산시 단원구관산초등학교<NA>공립N<NA>011011000111425347101213000000000000011011000172340
54612019양주시경기도동두천양주교육지원청경기도 양주시옥정초등학교<NA>공립N<NA>0111120007111862430011011000000000011022011000144357
239242015수원시경기도수원교육지원청경기도 수원시 장안구대평중학교중학교공립N<NA>1010110118505851217000000000000011000011000000146680
180492016남양주시경기도구리남양주교육지원청경기도 남양주시덕소중학교<NA>공립N<NA>011011101327303101300000000000000000001102210184250
172422016고양시경기도고양교육지원청경기도 고양시 일산서구일산동중학교<NA>공립N<NA>000202000541463811000123000000000000011011000115364
120992018화성시경기도화성오산교육지원청경기도 화성시서신초등학교<NA>공립N<NA>1011010005160110110000000000000000110000007411
79762018광주시경기도교육청경기도 광주시광주새롬학교<NA>사립N<NA>10111200000000091019134000000000000011011000121628

Duplicate rows

Most frequently occurring

기준년도시군명지역교육청명지역명학교명학교급명설립구분명제외여부제외사유교장남성수(명)교장여성수(명)교장합계수(명)교감남성수(명)교감여성수(명)교감여성수(명).1수석교사남성수(명)수석교사여성수(명)수석교사합계수(명)정교사1정남성수(명)정교사1정여성수(명)정교사1정합계수(명)정교사2정남성수(명)정교사2정여성수(명)정교사2정합계수(명)특수교사1정남성수(명)특수교사1정여성수(명)특수교사1정합계수(명)특수교사2정남성수(명)특수교사2정여성수(명)특수교사2정합계수(명)준교사남성수(명)준교사여성수(명)준교사합계수(명)실기교사남성수(명)실기교사여성수(명)실기교사합계수(명)전문상담교사남성수(명)전문상담교사여성수(명)전문상담교사합계수(명)사서교사남성수(명)사서교사여성수(명)사서교사합계수(명)보건교사남성수(명)보건교사여성수(명)보건요사합계수(명)영양교사남성수(명)영양교사여성수(명)영양교사합계수(명)해당없음남성수(명)해당없음여성수(명)해당없음합계수(명)합계남성수(명)합계여성수(명)합계(명)# duplicates
02019가평군경기도가평교육지원청경기도 가평군가평마장초등학교<NA>공립N<NA>01101100024610100001100000000000001100010148122
12019가평군경기도가평교육지원청경기도 가평군대성초등학교<NA>공립N<NA>01101100023512300001100000000000001100000039122
22019가평군경기도가평교육지원청경기도 가평군미원초등학교위곡분교장<NA>공립N<NA>0000000001450110000000000000000000000000001562
32019가평군경기도가평교육지원청경기도 가평군청심국제중학교<NA>사립N<NA>00000000031215268000000000000000000000000437921302
42019고양시경기도고양교육지원청경기도 고양시 덕양구고양초등학교<NA>공립N<NA>01101100062834224000011000000011000011011000836442
52019고양시경기도고양교육지원청경기도 고양시 덕양구내유초등학교<NA>공립N<NA>011011000627333580111120000000000000110110001038482
62019고양시경기도고양교육지원청경기도 고양시 덕양구능곡중학교<NA>공립N<NA>01110100061925310130000000000000220110110000001034442
72019고양시경기도고양교육지원청경기도 고양시 덕양구무원중학교<NA>공립N<NA>01110100022628358112022000000000000011000000736432
82019고양시경기도고양교육지원청경기도 고양시 덕양구지도초등학교<NA>공립N<NA>01101100033538314000000000000011000011011000641472
92019고양시경기도고양교육지원청경기도 고양시 덕양구흥도초등학교<NA>공립N<NA>101112000748553581010000000000000110110110001357702