Overview

Dataset statistics

Number of variables29
Number of observations10000
Missing cells39677
Missing cells (%)13.7%
Duplicate rows1002
Duplicate rows (%)10.0%
Total size in memory2.5 MiB
Average record size in memory258.0 B

Variable types

Numeric17
Categorical6
Text4
Boolean1
Unsupported1

Dataset

Description성별 학생수(초/중/고/기타) 현황
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=WK4BFNY47BIV83UFZ9TI23553036&infSeq=2

Alerts

제외여부 has constant value ""Constant
Dataset has 1002 (10.0%) duplicate rowsDuplicates
설립구분명 is highly imbalanced (53.4%)Imbalance
제외사유 has 10000 (100.0%) missing valuesMissing
4학년남자학생수(명) has 4941 (49.4%) missing valuesMissing
4학년여자학생수(명) has 4941 (49.4%) missing valuesMissing
5학년남자학생수(명) has 4941 (49.4%) missing valuesMissing
5학년여자학생수(명) has 4941 (49.4%) missing valuesMissing
6학년남자학생수(명) has 4941 (49.4%) missing valuesMissing
6학년여자학생수(명) has 4941 (49.4%) missing valuesMissing
제외사유 is an unsupported type, check if it needs cleaning or further analysisUnsupported
1학년남자학생수(명) has 354 (3.5%) zerosZeros
1학년여자학생수(명) has 332 (3.3%) zerosZeros
2학년남자학생수(명) has 332 (3.3%) zerosZeros
2학년여자학생수(명) has 319 (3.2%) zerosZeros
3학년남자학생수(명) has 373 (3.7%) zerosZeros
3학년여자학생수(명) has 363 (3.6%) zerosZeros
특수학급남자학생수(명) has 3361 (33.6%) zerosZeros
특수학급여자학생수(명) has 4346 (43.5%) zerosZeros
순회학급남자학생수(명) has 9102 (91.0%) zerosZeros
순회학급여자학생수(명) has 9189 (91.9%) zerosZeros

Reproduction

Analysis started2024-04-20 16:18:57.262861
Analysis finished2024-04-20 16:18:58.611021
Duration1.35 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%
Mean2016.859
Minimum2015
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T01:18:58.754397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2015
5-th percentile2015
Q12016
median2017
Q32018
95-th percentile2020
Maximum2020
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.4252446
Coefficient of variation (CV)0.00070666546
Kurtosis-0.6148804
Mean2016.859
Median Absolute Deviation (MAD)1
Skewness0.39608246
Sum20168590
Variance2.0313221
MonotonicityNot monotonic
2024-04-21T01:18:59.100932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2018 2245
22.4%
2017 2239
22.4%
2016 2218
22.2%
2015 2151
21.5%
2019 576
 
5.8%
2020 571
 
5.7%
ValueCountFrequency (%)
2015 2151
21.5%
2016 2218
22.2%
2017 2239
22.4%
2018 2245
22.4%
2019 576
 
5.8%
2020 571
 
5.7%
ValueCountFrequency (%)
2020 571
 
5.7%
2019 576
 
5.8%
2018 2245
22.4%
2017 2239
22.4%
2016 2218
22.2%
2015 2151
21.5%

시군명
Categorical

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
수원시
825 
용인시
780 
고양시
713 
성남시
 
641
화성시
 
609
Other values (26)
6432 

Length

Max length4
Median length3
Mean length3.0856
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row평택시
2nd row평택시
3rd row양평군
4th row용인시
5th row평택시

Common Values

ValueCountFrequency (%)
수원시 825
 
8.2%
용인시 780
 
7.8%
고양시 713
 
7.1%
성남시 641
 
6.4%
화성시 609
 
6.1%
부천시 537
 
5.4%
남양주시 470
 
4.7%
안산시 456
 
4.6%
평택시 431
 
4.3%
파주시 430
 
4.3%
Other values (21) 4108
41.1%

Length

2024-04-21T01:18:59.475342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 825
 
8.2%
용인시 780
 
7.8%
고양시 713
 
7.1%
성남시 641
 
6.4%
화성시 609
 
6.1%
부천시 537
 
5.4%
남양주시 470
 
4.7%
안산시 456
 
4.6%
평택시 431
 
4.3%
파주시 430
 
4.3%
Other values (21) 4108
41.1%
Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기도교육청
1976 
경기도수원교육지원청
660 
경기도용인교육지원청
654 
경기도화성오산교육지원청
637 
경기도고양교육지원청
 
544
Other values (21)
5529 

Length

Max length13
Median length10
Mean length9.7509
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도평택교육지원청
2nd row경기도평택교육지원청
3rd row경기도양평교육지원청
4th row경기도용인교육지원청
5th row경기도평택교육지원청

Common Values

ValueCountFrequency (%)
경기도교육청 1976
19.8%
경기도수원교육지원청 660
 
6.6%
경기도용인교육지원청 654
 
6.5%
경기도화성오산교육지원청 637
 
6.4%
경기도고양교육지원청 544
 
5.4%
경기도구리남양주교육지원청 502
 
5.0%
경기도성남교육지원청 485
 
4.9%
경기도부천교육지원청 410
 
4.1%
경기도안산교육지원청 353
 
3.5%
경기도평택교육지원청 348
 
3.5%
Other values (16) 3431
34.3%

Length

2024-04-21T01:18:59.877226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도교육청 1976
19.8%
경기도수원교육지원청 660
 
6.6%
경기도용인교육지원청 654
 
6.5%
경기도화성오산교육지원청 637
 
6.4%
경기도고양교육지원청 544
 
5.4%
경기도구리남양주교육지원청 502
 
5.0%
경기도성남교육지원청 485
 
4.9%
경기도부천교육지원청 410
 
4.1%
경기도안산교육지원청 353
 
3.5%
경기도평택교육지원청 348
 
3.5%
Other values (16) 3431
34.3%

지역명
Categorical

Distinct42
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기도 화성시
 
609
경기도 부천시
 
537
경기도 남양주시
 
470
경기도 평택시
 
431
경기도 파주시
 
430
Other values (37)
7523 

Length

Max length12
Median length7
Mean length8.6361
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 평택시
2nd row경기도 평택시
3rd row경기도 양평군
4th row경기도 용인시 기흥구
5th row경기도 평택시

Common Values

ValueCountFrequency (%)
경기도 화성시 609
 
6.1%
경기도 부천시 537
 
5.4%
경기도 남양주시 470
 
4.7%
경기도 평택시 431
 
4.3%
경기도 파주시 430
 
4.3%
경기도 성남시 분당구 350
 
3.5%
경기도 시흥시 327
 
3.3%
경기도 용인시 기흥구 326
 
3.3%
경기도 김포시 311
 
3.1%
경기도 의정부시 299
 
3.0%
Other values (32) 5910
59.1%

Length

2024-04-21T01:19:00.285684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 10000
42.1%
수원시 825
 
3.5%
용인시 780
 
3.3%
고양시 713
 
3.0%
성남시 641
 
2.7%
화성시 609
 
2.6%
부천시 537
 
2.3%
남양주시 470
 
2.0%
안산시 456
 
1.9%
평택시 431
 
1.8%
Other values (39) 8309
35.0%
Distinct2419
Distinct (%)24.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T01:19:01.019184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length6
Mean length6.2955
Min length5

Characters and Unicode

Total characters62955
Distinct characters339
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique165 ?
Unique (%)1.7%

Sample

1st row서탄초등학교내수분교장
2nd row송신초등학교
3rd row용문중학교
4th row상갈중학교
5th row서정리초등학교
ValueCountFrequency (%)
삼성초등학교 12
 
0.1%
송삼초등학교 12
 
0.1%
원종고등학교 11
 
0.1%
천천초등학교 11
 
0.1%
이황초등학교 11
 
0.1%
구성고등학교 10
 
0.1%
한가람초등학교 10
 
0.1%
도농고등학교 10
 
0.1%
용마초등학교 10
 
0.1%
이천매곡초등학교 10
 
0.1%
Other values (2410) 9895
98.9%
2024-04-21T01:19:01.927079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10249
16.3%
10147
16.1%
7366
 
11.7%
5440
 
8.6%
2822
 
4.5%
2207
 
3.5%
655
 
1.0%
628
 
1.0%
611
 
1.0%
606
 
1.0%
Other values (329) 22224
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62857
99.8%
Lowercase Letter 30
 
< 0.1%
Close Punctuation 27
 
< 0.1%
Open Punctuation 27
 
< 0.1%
Uppercase Letter 10
 
< 0.1%
Decimal Number 2
 
< 0.1%
Space Separator 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10249
16.3%
10147
16.1%
7366
 
11.7%
5440
 
8.7%
2822
 
4.5%
2207
 
3.5%
655
 
1.0%
628
 
1.0%
611
 
1.0%
606
 
1.0%
Other values (313) 22126
35.2%
Lowercase Letter
ValueCountFrequency (%)
s 8
26.7%
e 6
20.0%
i 4
13.3%
n 4
13.3%
u 2
 
6.7%
h 2
 
6.7%
l 2
 
6.7%
g 2
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
T 3
30.0%
I 3
30.0%
B 2
20.0%
E 2
20.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62857
99.8%
Common 58
 
0.1%
Latin 40
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10249
16.3%
10147
16.1%
7366
 
11.7%
5440
 
8.7%
2822
 
4.5%
2207
 
3.5%
655
 
1.0%
628
 
1.0%
611
 
1.0%
606
 
1.0%
Other values (313) 22126
35.2%
Latin
ValueCountFrequency (%)
s 8
20.0%
e 6
15.0%
i 4
10.0%
n 4
10.0%
T 3
 
7.5%
I 3
 
7.5%
u 2
 
5.0%
B 2
 
5.0%
h 2
 
5.0%
l 2
 
5.0%
Other values (2) 4
10.0%
Common
ValueCountFrequency (%)
) 27
46.6%
( 27
46.6%
1 2
 
3.4%
2
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62857
99.8%
ASCII 98
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
10249
16.3%
10147
16.1%
7366
 
11.7%
5440
 
8.7%
2822
 
4.5%
2207
 
3.5%
655
 
1.0%
628
 
1.0%
611
 
1.0%
606
 
1.0%
Other values (313) 22126
35.2%
ASCII
ValueCountFrequency (%)
) 27
27.6%
( 27
27.6%
s 8
 
8.2%
e 6
 
6.1%
i 4
 
4.1%
n 4
 
4.1%
T 3
 
3.1%
I 3
 
3.1%
1 2
 
2.0%
u 2
 
2.0%
Other values (6) 12
12.2%

학교급명
Categorical

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5564 
초등학교
2377 
중학교
1149 
고등학교
876 
각종학교(중)
 
11
Other values (4)
 
23

Length

Max length7
Median length4
Mean length3.8885
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5564
55.6%
초등학교 2377
23.8%
중학교 1149
 
11.5%
고등학교 876
 
8.8%
각종학교(중) 11
 
0.1%
방통고 10
 
0.1%
방통중 7
 
0.1%
각종학교(고) 4
 
< 0.1%
각종학교(초) 2
 
< 0.1%

Length

2024-04-21T01:19:02.165694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:19:02.380098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5564
55.6%
초등학교 2377
23.8%
중학교 1149
 
11.5%
고등학교 876
 
8.8%
각종학교(중 11
 
0.1%
방통고 10
 
0.1%
방통중 7
 
0.1%
각종학교(고 4
 
< 0.1%
각종학교(초 2
 
< 0.1%

설립구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
공립
9008 
사립
992 

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 9008
90.1%
사립 992
 
9.9%

Length

2024-04-21T01:19:02.603512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:19:02.761940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 9008
90.1%
사립 992
 
9.9%

주야간명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7958 
주간
2042 

Length

Max length4
Median length4
Mean length3.5916
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7958
79.6%
주간 2042
 
20.4%

Length

2024-04-21T01:19:02.952151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:19:03.129519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7958
79.6%
주간 2042
 
20.4%

제외여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
10000 
ValueCountFrequency (%)
False 10000
100.0%
2024-04-21T01:19:03.263610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

제외사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

1학년남자학생수(명)
Real number (ℝ)

ZEROS 

Distinct337
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.9904
Minimum0
Maximum508
Zeros354
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T01:19:03.446454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q132
median67
Q3118
95-th percentile201
Maximum508
Range508
Interquartile range (IQR)86

Descriptive statistics

Standard deviation66.188278
Coefficient of variation (CV)0.8172361
Kurtosis3.0750002
Mean80.9904
Median Absolute Deviation (MAD)41
Skewness1.3374457
Sum809904
Variance4380.8882
MonotonicityNot monotonic
2024-04-21T01:19:03.702131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 354
 
3.5%
5 127
 
1.3%
4 121
 
1.2%
7 120
 
1.2%
6 115
 
1.1%
8 112
 
1.1%
3 101
 
1.0%
63 93
 
0.9%
9 93
 
0.9%
55 92
 
0.9%
Other values (327) 8672
86.7%
ValueCountFrequency (%)
0 354
3.5%
1 32
 
0.3%
2 62
 
0.6%
3 101
 
1.0%
4 121
 
1.2%
5 127
 
1.3%
6 115
 
1.1%
7 120
 
1.2%
8 112
 
1.1%
9 93
 
0.9%
ValueCountFrequency (%)
508 1
< 0.1%
494 1
< 0.1%
489 2
< 0.1%
481 2
< 0.1%
474 1
< 0.1%
466 1
< 0.1%
465 1
< 0.1%
460 2
< 0.1%
455 1
< 0.1%
445 1
< 0.1%

1학년여자학생수(명)
Real number (ℝ)

ZEROS 

Distinct313
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.4233
Minimum0
Maximum469
Zeros332
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T01:19:03.948659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q129
median63
Q3112
95-th percentile191
Maximum469
Range469
Interquartile range (IQR)83

Descriptive statistics

Standard deviation61.950747
Coefficient of variation (CV)0.81062644
Kurtosis1.9145489
Mean76.4233
Median Absolute Deviation (MAD)40
Skewness1.1492752
Sum764233
Variance3837.8951
MonotonicityNot monotonic
2024-04-21T01:19:04.190572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 332
 
3.3%
4 165
 
1.7%
6 121
 
1.2%
3 121
 
1.2%
7 117
 
1.2%
8 113
 
1.1%
5 110
 
1.1%
2 104
 
1.0%
42 101
 
1.0%
10 98
 
1.0%
Other values (303) 8618
86.2%
ValueCountFrequency (%)
0 332
3.3%
1 36
 
0.4%
2 104
 
1.0%
3 121
 
1.2%
4 165
1.7%
5 110
 
1.1%
6 121
 
1.2%
7 117
 
1.2%
8 113
 
1.1%
9 98
 
1.0%
ValueCountFrequency (%)
469 1
 
< 0.1%
463 1
 
< 0.1%
436 1
 
< 0.1%
432 1
 
< 0.1%
416 1
 
< 0.1%
414 1
 
< 0.1%
404 3
< 0.1%
401 1
 
< 0.1%
399 1
 
< 0.1%
396 2
< 0.1%

2학년남자학생수(명)
Real number (ℝ)

ZEROS 

Distinct343
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.0073
Minimum0
Maximum544
Zeros332
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T01:19:04.433332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q132
median67
Q3120
95-th percentile211
Maximum544
Range544
Interquartile range (IQR)88

Descriptive statistics

Standard deviation69.197626
Coefficient of variation (CV)0.83363302
Kurtosis3.0475142
Mean83.0073
Median Absolute Deviation (MAD)42
Skewness1.369186
Sum830073
Variance4788.3115
MonotonicityNot monotonic
2024-04-21T01:19:04.687090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 332
 
3.3%
6 131
 
1.3%
4 126
 
1.3%
3 123
 
1.2%
8 118
 
1.2%
5 114
 
1.1%
9 98
 
1.0%
7 94
 
0.9%
48 92
 
0.9%
61 85
 
0.9%
Other values (333) 8687
86.9%
ValueCountFrequency (%)
0 332
3.3%
1 34
 
0.3%
2 71
 
0.7%
3 123
 
1.2%
4 126
 
1.3%
5 114
 
1.1%
6 131
 
1.3%
7 94
 
0.9%
8 118
 
1.2%
9 98
 
1.0%
ValueCountFrequency (%)
544 1
< 0.1%
495 1
< 0.1%
487 1
< 0.1%
486 2
< 0.1%
476 1
< 0.1%
475 1
< 0.1%
473 1
< 0.1%
469 1
< 0.1%
467 1
< 0.1%
466 1
< 0.1%

2학년여자학생수(명)
Real number (ℝ)

ZEROS 

Distinct321
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.2063
Minimum0
Maximum457
Zeros319
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T01:19:04.931704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q129
median64
Q3114
95-th percentile196.05
Maximum457
Range457
Interquartile range (IQR)85

Descriptive statistics

Standard deviation64.629128
Coefficient of variation (CV)0.82639287
Kurtosis2.2675196
Mean78.2063
Median Absolute Deviation (MAD)41
Skewness1.228968
Sum782063
Variance4176.9242
MonotonicityNot monotonic
2024-04-21T01:19:05.176265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 319
 
3.2%
6 161
 
1.6%
3 156
 
1.6%
4 156
 
1.6%
8 113
 
1.1%
7 112
 
1.1%
5 109
 
1.1%
9 108
 
1.1%
58 98
 
1.0%
52 93
 
0.9%
Other values (311) 8575
85.8%
ValueCountFrequency (%)
0 319
3.2%
1 41
 
0.4%
2 70
 
0.7%
3 156
1.6%
4 156
1.6%
5 109
 
1.1%
6 161
1.6%
7 112
 
1.1%
8 113
 
1.1%
9 108
 
1.1%
ValueCountFrequency (%)
457 1
 
< 0.1%
455 3
< 0.1%
438 1
 
< 0.1%
433 1
 
< 0.1%
429 1
 
< 0.1%
425 2
< 0.1%
424 1
 
< 0.1%
419 1
 
< 0.1%
407 1
 
< 0.1%
403 1
 
< 0.1%

3학년남자학생수(명)
Real number (ℝ)

ZEROS 

Distinct364
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.2306
Minimum0
Maximum550
Zeros373
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T01:19:05.412079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q131
median67
Q3125
95-th percentile222
Maximum550
Range550
Interquartile range (IQR)94

Descriptive statistics

Standard deviation73.343138
Coefficient of variation (CV)0.8605259
Kurtosis3.2262624
Mean85.2306
Median Absolute Deviation (MAD)43
Skewness1.4279902
Sum852306
Variance5379.2159
MonotonicityNot monotonic
2024-04-21T01:19:05.848149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 373
 
3.7%
6 154
 
1.5%
5 137
 
1.4%
7 134
 
1.3%
4 109
 
1.1%
10 100
 
1.0%
8 97
 
1.0%
50 94
 
0.9%
3 91
 
0.9%
58 90
 
0.9%
Other values (354) 8621
86.2%
ValueCountFrequency (%)
0 373
3.7%
1 35
 
0.4%
2 72
 
0.7%
3 91
 
0.9%
4 109
 
1.1%
5 137
 
1.4%
6 154
1.5%
7 134
 
1.3%
8 97
 
1.0%
9 82
 
0.8%
ValueCountFrequency (%)
550 2
< 0.1%
549 1
 
< 0.1%
546 2
< 0.1%
540 1
 
< 0.1%
499 1
 
< 0.1%
495 1
 
< 0.1%
485 1
 
< 0.1%
484 1
 
< 0.1%
479 1
 
< 0.1%
466 4
< 0.1%

3학년여자학생수(명)
Real number (ℝ)

ZEROS 

Distinct329
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.8828
Minimum0
Maximum522
Zeros363
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T01:19:06.099166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q129
median63
Q3118
95-th percentile205
Maximum522
Range522
Interquartile range (IQR)89

Descriptive statistics

Standard deviation68.218187
Coefficient of variation (CV)0.85397842
Kurtosis2.5306158
Mean79.8828
Median Absolute Deviation (MAD)42
Skewness1.3089475
Sum798828
Variance4653.721
MonotonicityNot monotonic
2024-04-21T01:19:06.355094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 363
 
3.6%
6 153
 
1.5%
5 146
 
1.5%
4 140
 
1.4%
3 116
 
1.2%
8 111
 
1.1%
2 109
 
1.1%
10 99
 
1.0%
46 97
 
1.0%
7 95
 
0.9%
Other values (319) 8571
85.7%
ValueCountFrequency (%)
0 363
3.6%
1 33
 
0.3%
2 109
 
1.1%
3 116
 
1.2%
4 140
 
1.4%
5 146
1.5%
6 153
1.5%
7 95
 
0.9%
8 111
 
1.1%
9 88
 
0.9%
ValueCountFrequency (%)
522 1
 
< 0.1%
477 1
 
< 0.1%
468 1
 
< 0.1%
462 1
 
< 0.1%
454 2
< 0.1%
453 2
< 0.1%
435 1
 
< 0.1%
434 1
 
< 0.1%
428 4
< 0.1%
421 1
 
< 0.1%

4학년남자학생수(명)
Real number (ℝ)

MISSING 

Distinct166
Distinct (%)3.3%
Missing4941
Missing (%)49.4%
Infinite0
Infinite (%)0.0%
Mean49.428543
Minimum0
Maximum189
Zeros60
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T01:19:06.599508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q121
median48
Q371.5
95-th percentile110
Maximum189
Range189
Interquartile range (IQR)50.5

Descriptive statistics

Standard deviation34.22527
Coefficient of variation (CV)0.69241915
Kurtosis0.037801579
Mean49.428543
Median Absolute Deviation (MAD)25
Skewness0.57163287
Sum250059
Variance1171.3691
MonotonicityNot monotonic
2024-04-21T01:19:06.852204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 141
 
1.4%
6 138
 
1.4%
7 122
 
1.2%
5 105
 
1.1%
3 97
 
1.0%
55 76
 
0.8%
56 71
 
0.7%
44 71
 
0.7%
8 70
 
0.7%
35 69
 
0.7%
Other values (156) 4099
41.0%
(Missing) 4941
49.4%
ValueCountFrequency (%)
0 60
0.6%
1 32
 
0.3%
2 57
0.6%
3 97
1.0%
4 141
1.4%
5 105
1.1%
6 138
1.4%
7 122
1.2%
8 70
0.7%
9 58
0.6%
ValueCountFrequency (%)
189 1
 
< 0.1%
178 3
< 0.1%
176 4
< 0.1%
172 1
 
< 0.1%
168 2
< 0.1%
167 1
 
< 0.1%
166 1
 
< 0.1%
164 1
 
< 0.1%
163 1
 
< 0.1%
162 1
 
< 0.1%

4학년여자학생수(명)
Real number (ℝ)

MISSING 

Distinct156
Distinct (%)3.1%
Missing4941
Missing (%)49.4%
Infinite0
Infinite (%)0.0%
Mean47.068591
Minimum0
Maximum175
Zeros71
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T01:19:07.105484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q119
median45
Q369
95-th percentile106
Maximum175
Range175
Interquartile range (IQR)50

Descriptive statistics

Standard deviation32.949232
Coefficient of variation (CV)0.70002589
Kurtosis-0.07060156
Mean47.068591
Median Absolute Deviation (MAD)24
Skewness0.55663119
Sum238120
Variance1085.6519
MonotonicityNot monotonic
2024-04-21T01:19:07.361418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 140
 
1.4%
3 117
 
1.2%
5 114
 
1.1%
6 103
 
1.0%
7 95
 
0.9%
2 86
 
0.9%
8 76
 
0.8%
9 75
 
0.8%
52 74
 
0.7%
48 74
 
0.7%
Other values (146) 4105
41.0%
(Missing) 4941
49.4%
ValueCountFrequency (%)
0 71
0.7%
1 49
 
0.5%
2 86
0.9%
3 117
1.2%
4 140
1.4%
5 114
1.1%
6 103
1.0%
7 95
0.9%
8 76
0.8%
9 75
0.8%
ValueCountFrequency (%)
175 1
 
< 0.1%
173 2
< 0.1%
169 3
< 0.1%
161 3
< 0.1%
159 2
< 0.1%
158 3
< 0.1%
156 1
 
< 0.1%
155 2
< 0.1%
154 1
 
< 0.1%
152 4
< 0.1%

5학년남자학생수(명)
Real number (ℝ)

MISSING 

Distinct161
Distinct (%)3.2%
Missing4941
Missing (%)49.4%
Infinite0
Infinite (%)0.0%
Mean49.089939
Minimum0
Maximum194
Zeros81
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T01:19:07.627605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q120
median48
Q371
95-th percentile108
Maximum194
Range194
Interquartile range (IQR)51

Descriptive statistics

Standard deviation33.76042
Coefficient of variation (CV)0.68772584
Kurtosis-0.17461128
Mean49.089939
Median Absolute Deviation (MAD)25
Skewness0.49987621
Sum248346
Variance1139.7659
MonotonicityNot monotonic
2024-04-21T01:19:07.984559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 123
 
1.2%
4 122
 
1.2%
5 122
 
1.2%
7 109
 
1.1%
3 87
 
0.9%
8 84
 
0.8%
0 81
 
0.8%
60 73
 
0.7%
53 71
 
0.7%
36 68
 
0.7%
Other values (151) 4119
41.2%
(Missing) 4941
49.4%
ValueCountFrequency (%)
0 81
0.8%
1 44
 
0.4%
2 52
0.5%
3 87
0.9%
4 122
1.2%
5 122
1.2%
6 123
1.2%
7 109
1.1%
8 84
0.8%
9 62
0.6%
ValueCountFrequency (%)
194 2
< 0.1%
167 1
 
< 0.1%
164 1
 
< 0.1%
163 3
< 0.1%
161 2
< 0.1%
160 1
 
< 0.1%
159 1
 
< 0.1%
158 1
 
< 0.1%
155 2
< 0.1%
154 1
 
< 0.1%

5학년여자학생수(명)
Real number (ℝ)

MISSING 

Distinct151
Distinct (%)3.0%
Missing4941
Missing (%)49.4%
Infinite0
Infinite (%)0.0%
Mean46.533307
Minimum0
Maximum210
Zeros86
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T01:19:08.415097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q119
median44
Q368
95-th percentile105
Maximum210
Range210
Interquartile range (IQR)49

Descriptive statistics

Standard deviation32.444
Coefficient of variation (CV)0.69722102
Kurtosis-0.14980636
Mean46.533307
Median Absolute Deviation (MAD)24
Skewness0.52954067
Sum235412
Variance1052.6131
MonotonicityNot monotonic
2024-04-21T01:19:08.826852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 126
 
1.3%
6 109
 
1.1%
5 108
 
1.1%
7 102
 
1.0%
3 96
 
1.0%
8 91
 
0.9%
2 88
 
0.9%
0 86
 
0.9%
45 85
 
0.9%
35 80
 
0.8%
Other values (141) 4088
40.9%
(Missing) 4941
49.4%
ValueCountFrequency (%)
0 86
0.9%
1 55
0.5%
2 88
0.9%
3 96
1.0%
4 126
1.3%
5 108
1.1%
6 109
1.1%
7 102
1.0%
8 91
0.9%
9 63
0.6%
ValueCountFrequency (%)
210 1
 
< 0.1%
161 3
< 0.1%
154 2
 
< 0.1%
152 1
 
< 0.1%
151 2
 
< 0.1%
150 5
0.1%
149 3
< 0.1%
147 1
 
< 0.1%
146 1
 
< 0.1%
144 1
 
< 0.1%

6학년남자학생수(명)
Real number (ℝ)

MISSING 

Distinct159
Distinct (%)3.1%
Missing4941
Missing (%)49.4%
Infinite0
Infinite (%)0.0%
Mean48.774857
Minimum0
Maximum181
Zeros46
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T01:19:09.226535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q120
median48
Q371
95-th percentile107
Maximum181
Range181
Interquartile range (IQR)51

Descriptive statistics

Standard deviation33.448646
Coefficient of variation (CV)0.6857764
Kurtosis-0.19148219
Mean48.774857
Median Absolute Deviation (MAD)25
Skewness0.49102116
Sum246752
Variance1118.8119
MonotonicityNot monotonic
2024-04-21T01:19:09.615729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 127
 
1.3%
6 127
 
1.3%
3 126
 
1.3%
5 117
 
1.2%
7 99
 
1.0%
52 73
 
0.7%
9 71
 
0.7%
8 68
 
0.7%
51 67
 
0.7%
61 67
 
0.7%
Other values (149) 4117
41.2%
(Missing) 4941
49.4%
ValueCountFrequency (%)
0 46
 
0.5%
1 37
 
0.4%
2 57
0.6%
3 126
1.3%
4 127
1.3%
5 117
1.2%
6 127
1.3%
7 99
1.0%
8 68
0.7%
9 71
0.7%
ValueCountFrequency (%)
181 1
 
< 0.1%
175 3
< 0.1%
169 1
 
< 0.1%
168 2
< 0.1%
165 1
 
< 0.1%
160 1
 
< 0.1%
159 2
< 0.1%
158 3
< 0.1%
156 1
 
< 0.1%
152 3
< 0.1%

6학년여자학생수(명)
Real number (ℝ)

MISSING 

Distinct152
Distinct (%)3.0%
Missing4941
Missing (%)49.4%
Infinite0
Infinite (%)0.0%
Mean45.968373
Minimum0
Maximum214
Zeros61
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T01:19:09.869623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q118
median44
Q367
95-th percentile104
Maximum214
Range214
Interquartile range (IQR)49

Descriptive statistics

Standard deviation32.226901
Coefficient of variation (CV)0.70106681
Kurtosis0.042879818
Mean45.968373
Median Absolute Deviation (MAD)24
Skewness0.55767093
Sum232554
Variance1038.5731
MonotonicityNot monotonic
2024-04-21T01:19:10.109752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 134
 
1.3%
3 122
 
1.2%
6 117
 
1.2%
2 109
 
1.1%
5 107
 
1.1%
8 81
 
0.8%
7 79
 
0.8%
53 77
 
0.8%
44 72
 
0.7%
41 69
 
0.7%
Other values (142) 4092
40.9%
(Missing) 4941
49.4%
ValueCountFrequency (%)
0 61
0.6%
1 63
0.6%
2 109
1.1%
3 122
1.2%
4 134
1.3%
5 107
1.1%
6 117
1.2%
7 79
0.8%
8 81
0.8%
9 67
0.7%
ValueCountFrequency (%)
214 2
 
< 0.1%
188 1
 
< 0.1%
176 1
 
< 0.1%
164 1
 
< 0.1%
162 1
 
< 0.1%
160 1
 
< 0.1%
150 2
 
< 0.1%
149 6
0.1%
148 2
 
< 0.1%
145 2
 
< 0.1%

특수학급남자학생수(명)
Real number (ℝ)

ZEROS 

Distinct112
Distinct (%)1.1%
Missing5
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.5517759
Minimum0
Maximum142
Zeros3361
Zeros (%)33.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T01:19:10.456116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q35
95-th percentile12
Maximum142
Range142
Interquartile range (IQR)5

Descriptive statistics

Standard deviation10.144651
Coefficient of variation (CV)2.2287237
Kurtosis54.024664
Mean4.5517759
Median Absolute Deviation (MAD)2
Skewness6.6265523
Sum45495
Variance102.91394
MonotonicityNot monotonic
2024-04-21T01:19:10.883108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3361
33.6%
2 981
 
9.8%
3 963
 
9.6%
4 885
 
8.8%
1 722
 
7.2%
5 704
 
7.0%
6 554
 
5.5%
7 421
 
4.2%
8 321
 
3.2%
9 256
 
2.6%
Other values (102) 827
 
8.3%
ValueCountFrequency (%)
0 3361
33.6%
1 722
 
7.2%
2 981
 
9.8%
3 963
 
9.6%
4 885
 
8.8%
5 704
 
7.0%
6 554
 
5.5%
7 421
 
4.2%
8 321
 
3.2%
9 256
 
2.6%
ValueCountFrequency (%)
142 1
< 0.1%
132 1
< 0.1%
128 1
< 0.1%
123 1
< 0.1%
122 1
< 0.1%
120 1
< 0.1%
119 1
< 0.1%
118 1
< 0.1%
116 1
< 0.1%
115 1
< 0.1%

특수학급여자학생수(명)
Real number (ℝ)

ZEROS 

Distinct104
Distinct (%)1.0%
Missing5
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.8965483
Minimum0
Maximum151
Zeros4346
Zeros (%)43.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T01:19:11.295293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile7
Maximum151
Range151
Interquartile range (IQR)3

Descriptive statistics

Standard deviation9.5490949
Coefficient of variation (CV)3.2967153
Kurtosis64.863946
Mean2.8965483
Median Absolute Deviation (MAD)1
Skewness7.5032263
Sum28951
Variance91.185214
MonotonicityNot monotonic
2024-04-21T01:19:11.731773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4346
43.5%
1 1632
 
16.3%
2 1413
 
14.1%
3 951
 
9.5%
4 561
 
5.6%
5 344
 
3.4%
6 178
 
1.8%
7 125
 
1.2%
8 59
 
0.6%
9 49
 
0.5%
Other values (94) 337
 
3.4%
ValueCountFrequency (%)
0 4346
43.5%
1 1632
 
16.3%
2 1413
 
14.1%
3 951
 
9.5%
4 561
 
5.6%
5 344
 
3.4%
6 178
 
1.8%
7 125
 
1.2%
8 59
 
0.6%
9 49
 
0.5%
ValueCountFrequency (%)
151 1
< 0.1%
124 1
< 0.1%
121 1
< 0.1%
119 1
< 0.1%
115 1
< 0.1%
113 1
< 0.1%
111 2
< 0.1%
110 1
< 0.1%
109 1
< 0.1%
108 1
< 0.1%

순회학급남자학생수(명)
Real number (ℝ)

ZEROS 

Distinct110
Distinct (%)1.1%
Missing5
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.7257629
Minimum0
Maximum166
Zeros9102
Zeros (%)91.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T01:19:12.139579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum166
Range166
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.225736
Coefficient of variation (CV)5.9253423
Kurtosis63.034183
Mean1.7257629
Median Absolute Deviation (MAD)0
Skewness7.5569196
Sum17249
Variance104.56567
MonotonicityNot monotonic
2024-04-21T01:19:12.780214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9102
91.0%
2 175
 
1.8%
1 130
 
1.3%
3 97
 
1.0%
4 92
 
0.9%
5 46
 
0.5%
6 29
 
0.3%
9 16
 
0.2%
8 14
 
0.1%
7 12
 
0.1%
Other values (100) 282
 
2.8%
ValueCountFrequency (%)
0 9102
91.0%
1 130
 
1.3%
2 175
 
1.8%
3 97
 
1.0%
4 92
 
0.9%
5 46
 
0.5%
6 29
 
0.3%
7 12
 
0.1%
8 14
 
0.1%
9 16
 
0.2%
ValueCountFrequency (%)
166 1
< 0.1%
127 1
< 0.1%
125 2
< 0.1%
120 1
< 0.1%
113 1
< 0.1%
112 2
< 0.1%
109 2
< 0.1%
108 1
< 0.1%
107 2
< 0.1%
106 1
< 0.1%

순회학급여자학생수(명)
Real number (ℝ)

ZEROS 

Distinct104
Distinct (%)1.0%
Missing6
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.6019612
Minimum0
Maximum152
Zeros9189
Zeros (%)91.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T01:19:13.181141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum152
Range152
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.9491884
Coefficient of variation (CV)6.2106302
Kurtosis68.822165
Mean1.6019612
Median Absolute Deviation (MAD)0
Skewness7.849148
Sum16010
Variance98.986351
MonotonicityNot monotonic
2024-04-21T01:19:13.616725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9189
91.9%
1 185
 
1.8%
2 137
 
1.4%
3 87
 
0.9%
4 56
 
0.6%
6 27
 
0.3%
5 24
 
0.2%
7 10
 
0.1%
58 8
 
0.1%
8 7
 
0.1%
Other values (94) 264
 
2.6%
ValueCountFrequency (%)
0 9189
91.9%
1 185
 
1.8%
2 137
 
1.4%
3 87
 
0.9%
4 56
 
0.6%
5 24
 
0.2%
6 27
 
0.3%
7 10
 
0.1%
8 7
 
0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
152 1
< 0.1%
145 1
< 0.1%
144 1
< 0.1%
138 1
< 0.1%
134 1
< 0.1%
121 1
< 0.1%
116 1
< 0.1%
108 2
< 0.1%
103 1
< 0.1%
102 2
< 0.1%
Distinct4137
Distinct (%)41.4%
Missing5
Missing (%)< 0.1%
Memory size156.2 KiB
2024-04-21T01:19:14.861904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.7317659
Min length1

Characters and Unicode

Total characters57289
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1753 ?
Unique (%)17.5%

Sample

1st row8(0)
2nd row200(3)
3rd row188(3)
4th row289(0)
5th row166(5)
ValueCountFrequency (%)
0(0 235
 
2.4%
24(0 28
 
0.3%
33(0 25
 
0.3%
28(0 24
 
0.2%
25(0 22
 
0.2%
8(0 19
 
0.2%
84(0 18
 
0.2%
46(0 18
 
0.2%
23(0 17
 
0.2%
36(0 17
 
0.2%
Other values (4127) 9572
95.8%
2024-04-21T01:19:16.537112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 9677
16.9%
) 9677
16.9%
0 5567
9.7%
3 4815
8.4%
2 4686
8.2%
1 4550
7.9%
4 4497
7.8%
5 3701
 
6.5%
6 3052
 
5.3%
7 2562
 
4.5%
Other values (2) 4505
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 37935
66.2%
Open Punctuation 9677
 
16.9%
Close Punctuation 9677
 
16.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5567
14.7%
3 4815
12.7%
2 4686
12.4%
1 4550
12.0%
4 4497
11.9%
5 3701
9.8%
6 3052
8.0%
7 2562
6.8%
8 2340
6.2%
9 2165
 
5.7%
Open Punctuation
ValueCountFrequency (%)
( 9677
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9677
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 57289
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
( 9677
16.9%
) 9677
16.9%
0 5567
9.7%
3 4815
8.4%
2 4686
8.2%
1 4550
7.9%
4 4497
7.8%
5 3701
 
6.5%
6 3052
 
5.3%
7 2562
 
4.5%
Other values (2) 4505
7.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 57289
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 9677
16.9%
) 9677
16.9%
0 5567
9.7%
3 4815
8.4%
2 4686
8.2%
1 4550
7.9%
4 4497
7.8%
5 3701
 
6.5%
6 3052
 
5.3%
7 2562
 
4.5%
Other values (2) 4505
7.9%
Distinct3247
Distinct (%)32.5%
Missing5
Missing (%)< 0.1%
Memory size156.2 KiB
2024-04-21T01:19:17.818739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.6658329
Min length1

Characters and Unicode

Total characters56630
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1171 ?
Unique (%)11.7%

Sample

1st row7(0)
2nd row182(3)
3rd row153(1)
4th row254(0)
5th row168(7)
ValueCountFrequency (%)
0(0 216
 
2.2%
22(0 39
 
0.4%
29(0 34
 
0.3%
31(0 29
 
0.3%
25(0 28
 
0.3%
21(0 28
 
0.3%
20(0 28
 
0.3%
32(0 27
 
0.3%
23(0 26
 
0.3%
35(0 26
 
0.3%
Other values (3237) 9514
95.2%
2024-04-21T01:19:19.521157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 9677
17.1%
) 9677
17.1%
0 6333
11.2%
2 5223
9.2%
1 4958
8.8%
3 4898
8.6%
4 4092
7.2%
5 3390
 
6.0%
6 2462
 
4.3%
7 2013
 
3.6%
Other values (2) 3907
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 37276
65.8%
Open Punctuation 9677
 
17.1%
Close Punctuation 9677
 
17.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6333
17.0%
2 5223
14.0%
1 4958
13.3%
3 4898
13.1%
4 4092
11.0%
5 3390
9.1%
6 2462
 
6.6%
7 2013
 
5.4%
9 1960
 
5.3%
8 1947
 
5.2%
Open Punctuation
ValueCountFrequency (%)
( 9677
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9677
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 56630
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
( 9677
17.1%
) 9677
17.1%
0 6333
11.2%
2 5223
9.2%
1 4958
8.8%
3 4898
8.6%
4 4092
7.2%
5 3390
 
6.0%
6 2462
 
4.3%
7 2013
 
3.6%
Other values (2) 3907
6.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 56630
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 9677
17.1%
) 9677
17.1%
0 6333
11.2%
2 5223
9.2%
1 4958
8.8%
3 4898
8.6%
4 4092
7.2%
5 3390
 
6.0%
6 2462
 
4.3%
7 2013
 
3.6%
Other values (2) 3907
6.9%
Distinct5238
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T01:19:20.698547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length6.0814
Min length1

Characters and Unicode

Total characters60814
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2826 ?
Unique (%)28.3%

Sample

1st row15(0)
2nd row382(6)
3rd row341(4)
4th row543(0)
5th row334(12)
ValueCountFrequency (%)
0 84
 
0.8%
3 52
 
0.5%
4 37
 
0.4%
2 33
 
0.3%
5 29
 
0.3%
1 23
 
0.2%
42(0 19
 
0.2%
55(0 17
 
0.2%
8 16
 
0.2%
7 15
 
0.1%
Other values (5228) 9675
96.8%
2024-04-21T01:19:22.293664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 9677
15.9%
) 9677
15.9%
1 6887
11.3%
0 6001
9.9%
6 3828
 
6.3%
4 3765
 
6.2%
5 3735
 
6.1%
3 3733
 
6.1%
2 3713
 
6.1%
7 3620
 
6.0%
Other values (2) 6178
10.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 41460
68.2%
Open Punctuation 9677
 
15.9%
Close Punctuation 9677
 
15.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6887
16.6%
0 6001
14.5%
6 3828
9.2%
4 3765
9.1%
5 3735
9.0%
3 3733
9.0%
2 3713
9.0%
7 3620
8.7%
8 3195
7.7%
9 2983
7.2%
Open Punctuation
ValueCountFrequency (%)
( 9677
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9677
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 60814
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
( 9677
15.9%
) 9677
15.9%
1 6887
11.3%
0 6001
9.9%
6 3828
 
6.3%
4 3765
 
6.2%
5 3735
 
6.1%
3 3733
 
6.1%
2 3713
 
6.1%
7 3620
 
6.0%
Other values (2) 6178
10.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 60814
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 9677
15.9%
) 9677
15.9%
1 6887
11.3%
0 6001
9.9%
6 3828
 
6.3%
4 3765
 
6.2%
5 3735
 
6.1%
3 3733
 
6.1%
2 3713
 
6.1%
7 3620
 
6.0%
Other values (2) 6178
10.2%

Sample

기준년도시군명지역교육청명지역명학교명학교급명설립구분명주야간명제외여부제외사유1학년남자학생수(명)1학년여자학생수(명)2학년남자학생수(명)2학년여자학생수(명)3학년남자학생수(명)3학년여자학생수(명)4학년남자학생수(명)4학년여자학생수(명)5학년남자학생수(명)5학년여자학생수(명)6학년남자학생수(명)6학년여자학생수(명)특수학급남자학생수(명)특수학급여자학생수(명)순회학급남자학생수(명)순회학급여자학생수(명)총계남자학생수사항(명)총계여자학생수사항(명)총계사항(명)
227842017평택시경기도평택교육지원청경기도 평택시서탄초등학교내수분교장<NA>공립<NA>N<NA>00130044003000008(0)7(0)15(0)
321662016평택시경기도평택교육지원청경기도 평택시송신초등학교초등학교공립<NA>N<NA>3029323435353721292734333300200(3)182(3)382(6)
204592017양평군경기도양평교육지원청경기도 양평군용문중학교<NA>사립<NA>N<NA>775256515249<NA><NA><NA><NA><NA><NA>3100188(3)153(1)341(4)
399052015용인시경기도용인교육지원청경기도 용인시 기흥구상갈중학교중학교공립주간N<NA>8861899811295<NA><NA><NA><NA><NA><NA>0000289(0)254(0)543(0)
416592015평택시경기도평택교육지원청경기도 평택시서정리초등학교초등학교공립<NA>N<NA>2525291929261627273335315700166(5)168(7)334(12)
44242019이천시경기도이천교육지원청경기도 이천시이천중학교<NA>공립<NA>N<NA>13339169291790<NA><NA><NA><NA><NA><NA>6000487(6)68(0)555(6)
83162018성남시경기도교육청경기도 성남시 중원구동광고등학교<NA>사립<NA>N<NA>88133119153120184<NA><NA><NA><NA><NA><NA>7200334(7)472(2)806(9)
134132018평택시경기도교육청경기도 평택시현화고등학교<NA>공립<NA>N<NA>117141103178111181<NA><NA><NA><NA><NA><NA>7600338(7)506(6)844(13)
72372018동두천시경기도동두천양주교육지원청경기도 동두천시생연초등학교초등학교공립<NA>N<NA>3437243531363131463834405400205(5)221(4)426(9)
330862016화성시경기도교육청경기도 화성시동탄국제고등학교<NA>공립<NA>N<NA>441634016044143<NA><NA><NA><NA><NA><NA>0000128(0)466(0)594(0)
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