Overview

Dataset statistics

Number of variables28
Number of observations136
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory30.5 KiB
Average record size in memory230.0 B

Variable types

Categorical16
Numeric4
Text7
Boolean1

Dataset

Description학교종류명,설립구분,표준학교코드,학교명,영문학교명,관할조직명,도로명우편번호,도로명주소,도로명상세주소,전화번호,홈페이지주소,팩스번호,남녀공학구분명,고등학교구분명,산업체특별학급존재여부,고등학교일반실업구분명,특수목적고등학교계열명,입시전후기구분명,주야구분명,설립일자,개교기념일,시도교육청코드,시도교육청명,소재지명,주야과정,계열명,학과명,적재일시
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-20524/S/1/datasetView.do

Alerts

산업체특별학급존재여부 has constant value ""Constant
주야구분명 has constant value ""Constant
시도교육청코드 has constant value ""Constant
시도교육청명 has constant value ""Constant
소재지명 has constant value ""Constant
특수목적고등학교계열명 is highly imbalanced (64.9%)Imbalance
적재일시 is highly imbalanced (70.5%)Imbalance

Reproduction

Analysis started2024-05-04 01:23:17.926632
Analysis finished2024-05-04 01:23:18.909583
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학교종류명
Categorical

Distinct6
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
고등학교
82 
초등학교
24 
중학교
16 
각종학교(고)
9 
외국인학교
 
3

Length

Max length7
Median length4
Mean length4.1029412
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중학교
2nd row초등학교
3rd row중학교
4th row중학교
5th row중학교

Common Values

ValueCountFrequency (%)
고등학교 82
60.3%
초등학교 24
 
17.6%
중학교 16
 
11.8%
각종학교(고) 9
 
6.6%
외국인학교 3
 
2.2%
특수학교 2
 
1.5%

Length

2024-05-04T01:23:19.135676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T01:23:19.473346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고등학교 82
60.3%
초등학교 24
 
17.6%
중학교 16
 
11.8%
각종학교(고 9
 
6.6%
외국인학교 3
 
2.2%
특수학교 2
 
1.5%

설립구분
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
공립
106 
사립
29 
국립
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
공립 106
77.9%
사립 29
 
21.3%
국립 1
 
0.7%

Length

2024-05-04T01:23:19.977230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T01:23:20.310797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 106
77.9%
사립 29
 
21.3%
국립 1
 
0.7%

표준학교코드
Real number (ℝ)

Distinct57
Distinct (%)41.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7034303.7
Minimum7010080
Maximum7091486
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-04T01:23:20.692997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7010080
5-th percentile7010083
Q17010094
median7010848.5
Q37091387.2
95-th percentile7091445.2
Maximum7091486
Range81406
Interquartile range (IQR)81293.25

Descriptive statistics

Standard deviation37005.58
Coefficient of variation (CV)0.005260731
Kurtosis-1.1827937
Mean7034303.7
Median Absolute Deviation (MAD)754.5
Skewness0.91319082
Sum9.5666531 × 108
Variance1.3694129 × 109
MonotonicityDecreasing
2024-05-04T01:23:21.430204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7011558 16
 
11.8%
7010094 15
 
11.0%
7010083 14
 
10.3%
7011208 9
 
6.6%
7010087 8
 
5.9%
7010152 5
 
3.7%
7010197 4
 
2.9%
7010080 4
 
2.9%
7010095 4
 
2.9%
7010179 4
 
2.9%
Other values (47) 53
39.0%
ValueCountFrequency (%)
7010080 4
 
2.9%
7010083 14
10.3%
7010087 8
5.9%
7010094 15
11.0%
7010095 4
 
2.9%
7010152 5
 
3.7%
7010179 4
 
2.9%
7010183 4
 
2.9%
7010197 4
 
2.9%
7010198 4
 
2.9%
ValueCountFrequency (%)
7091486 1
0.7%
7091460 1
0.7%
7091452 1
0.7%
7091451 1
0.7%
7091450 1
0.7%
7091447 1
0.7%
7091446 1
0.7%
7091445 1
0.7%
7091441 1
0.7%
7091438 1
0.7%

학교명
Text

Distinct57
Distinct (%)41.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-04T01:23:22.238377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length7.6470588
Min length5

Characters and Unicode

Total characters1040
Distinct characters78
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)33.1%

Sample

1st row내곡중학교
2nd row서울우솔초등학교
3rd row세화여자중학교
4th row서문여자중학교
5th row동덕여자중학교
ValueCountFrequency (%)
서울웹툰애니메이션고등학교 16
 
11.8%
양재고등학교 15
 
11.0%
서울고등학교 14
 
10.3%
서초문화예술정보학교 9
 
6.6%
서초고등학교 8
 
5.9%
동덕여자고등학교 5
 
3.7%
반포고등학교 4
 
2.9%
세화여자고등학교 4
 
2.9%
세화고등학교 4
 
2.9%
상문고등학교 4
 
2.9%
Other values (47) 53
39.0%
2024-05-04T01:23:23.799873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 138
13.3%
학 137
13.2%
등 106
 
10.2%
서 86
 
8.3%
고 82
 
7.9%
울 56
 
5.4%
초 43
 
4.1%
이 19
 
1.8%
문 18
 
1.7%
화 18
 
1.7%
Other values (68) 337
32.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1040
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 138
13.3%
학 137
13.2%
등 106
 
10.2%
서 86
 
8.3%
고 82
 
7.9%
울 56
 
5.4%
초 43
 
4.1%
이 19
 
1.8%
문 18
 
1.7%
화 18
 
1.7%
Other values (68) 337
32.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1040
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 138
13.3%
학 137
13.2%
등 106
 
10.2%
서 86
 
8.3%
고 82
 
7.9%
울 56
 
5.4%
초 43
 
4.1%
이 19
 
1.8%
문 18
 
1.7%
화 18
 
1.7%
Other values (68) 337
32.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1040
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 138
13.3%
학 137
13.2%
등 106
 
10.2%
서 86
 
8.3%
고 82
 
7.9%
울 56
 
5.4%
초 43
 
4.1%
이 19
 
1.8%
문 18
 
1.7%
화 18
 
1.7%
Other values (68) 337
32.4%

영문학교명
Text

Distinct57
Distinct (%)41.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-04T01:23:24.473559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length35
Mean length25.404412
Min length7

Characters and Unicode

Total characters3455
Distinct characters52
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)33.1%

Sample

1st rowNAEGOK MIDDLE SCHOOL
2nd rowSeoul Woosol Elementary School
3rd rowSehwa Girls’ Middle School
4th rowSuhmoon Girls’ Middle School
5th rowDong Duk Girls’ Middle School
ValueCountFrequency (%)
school 135
26.0%
high 82
15.8%
seoul 55
10.6%
elementary 24
 
4.6%
seocho 19
 
3.7%
animation 16
 
3.1%
yangjae 16
 
3.1%
webtoon 16
 
3.1%
middle 16
 
3.1%
girls’ 16
 
3.1%
Other values (52) 125
24.0%
2024-05-04T01:23:25.865467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 510
14.8%
384
11.1%
l 273
 
7.9%
h 258
 
7.5%
S 237
 
6.9%
e 201
 
5.8%
n 181
 
5.2%
i 174
 
5.0%
c 157
 
4.5%
a 137
 
4.0%
Other values (42) 943
27.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2523
73.0%
Uppercase Letter 514
 
14.9%
Space Separator 384
 
11.1%
Final Punctuation 16
 
0.5%
Other Punctuation 9
 
0.3%
Other Letter 7
 
0.2%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 510
20.2%
l 273
10.8%
h 258
10.2%
e 201
 
8.0%
n 181
 
7.2%
i 174
 
6.9%
c 157
 
6.2%
a 137
 
5.4%
g 121
 
4.8%
u 92
 
3.6%
Other values (13) 419
16.6%
Uppercase Letter
ValueCountFrequency (%)
S 237
46.1%
H 83
 
16.1%
E 33
 
6.4%
A 27
 
5.3%
W 22
 
4.3%
G 19
 
3.7%
M 17
 
3.3%
Y 17
 
3.3%
I 13
 
2.5%
B 12
 
2.3%
Other values (8) 34
 
6.6%
Other Letter
ValueCountFrequency (%)
서 1
14.3%
울 1
14.3%
프 1
14.3%
랑 1
14.3%
스 1
14.3%
학 1
14.3%
교 1
14.3%
Space Separator
ValueCountFrequency (%)
384
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 16
100.0%
Other Punctuation
ValueCountFrequency (%)
& 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3037
87.9%
Common 411
 
11.9%
Hangul 7
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 510
16.8%
l 273
 
9.0%
h 258
 
8.5%
S 237
 
7.8%
e 201
 
6.6%
n 181
 
6.0%
i 174
 
5.7%
c 157
 
5.2%
a 137
 
4.5%
g 121
 
4.0%
Other values (31) 788
25.9%
Hangul
ValueCountFrequency (%)
서 1
14.3%
울 1
14.3%
프 1
14.3%
랑 1
14.3%
스 1
14.3%
학 1
14.3%
교 1
14.3%
Common
ValueCountFrequency (%)
384
93.4%
’ 16
 
3.9%
& 9
 
2.2%
- 2
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3432
99.3%
Punctuation 16
 
0.5%
Hangul 7
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 510
14.9%
384
11.2%
l 273
 
8.0%
h 258
 
7.5%
S 237
 
6.9%
e 201
 
5.9%
n 181
 
5.3%
i 174
 
5.1%
c 157
 
4.6%
a 137
 
4.0%
Other values (34) 920
26.8%
Punctuation
ValueCountFrequency (%)
’ 16
100.0%
Hangul
ValueCountFrequency (%)
서 1
14.3%
울 1
14.3%
프 1
14.3%
랑 1
14.3%
스 1
14.3%
학 1
14.3%
교 1
14.3%

관할조직명
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
서울특별시교육청
96 
서울특별시강남서초교육지원청
39 
교육부
 
1

Length

Max length14
Median length8
Mean length9.6838235
Min length3

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시교육청 96
70.6%
서울특별시강남서초교육지원청 39
28.7%
교육부 1
 
0.7%

Length

2024-05-04T01:23:26.324209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T01:23:26.928534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 96
70.6%
서울특별시강남서초교육지원청 39
28.7%
교육부 1
 
0.7%

도로명우편번호
Real number (ℝ)

Distinct44
Distinct (%)32.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6675.6618
Minimum6502
Maximum6800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-04T01:23:27.289061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6502
5-th percentile6516.75
Q16598
median6700
Q36750
95-th percentile6780
Maximum6800
Range298
Interquartile range (IQR)152

Descriptive statistics

Standard deviation86.211043
Coefficient of variation (CV)0.012914232
Kurtosis-0.97246802
Mean6675.6618
Median Absolute Deviation (MAD)61
Skewness-0.54082857
Sum907890
Variance7432.344
MonotonicityNot monotonic
2024-05-04T01:23:27.722016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
6761 16
 
11.8%
6750 15
 
11.0%
6669 14
 
10.3%
6548 9
 
6.6%
6728 9
 
6.6%
6656 8
 
5.9%
6700 7
 
5.1%
6780 6
 
4.4%
6565 5
 
3.7%
6598 5
 
3.7%
Other values (34) 42
30.9%
ValueCountFrequency (%)
6502 2
 
1.5%
6504 3
 
2.2%
6510 1
 
0.7%
6516 1
 
0.7%
6517 1
 
0.7%
6521 1
 
0.7%
6544 2
 
1.5%
6547 1
 
0.7%
6548 9
6.6%
6565 5
3.7%
ValueCountFrequency (%)
6800 1
 
0.7%
6799 1
 
0.7%
6796 1
 
0.7%
6793 1
 
0.7%
6780 6
 
4.4%
6767 1
 
0.7%
6765 2
 
1.5%
6762 1
 
0.7%
6761 16
11.8%
6755 1
 
0.7%

도로명주소
Text

Distinct53
Distinct (%)39.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-04T01:23:28.433111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length19.257353
Min length13

Characters and Unicode

Total characters2619
Distinct characters70
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

Unique42 ?
Unique (%)30.9%

Sample

1st row서울특별시 서초구 청계산로7길 9-20
2nd row서울특별시 서초구 양재대로2길 74
3rd row서울특별시 서초구 신반포로 56-7
4th row서울특별시 서초구 동광로12길 84
5th row서울특별시 서초구 효령로2길 123-5
ValueCountFrequency (%)
서초구 136
25.0%
서울특별시 132
24.3%
과천대로 16
 
2.9%
852-23 16
 
2.9%
남부순환로346길 15
 
2.8%
9 15
 
2.8%
효령로 14
 
2.6%
197 14
 
2.6%
신반포로 11
 
2.0%
남부순환로347길 9
 
1.7%
Other values (82) 165
30.4%
2024-05-04T01:23:29.788025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
407
15.5%
서 278
 
10.6%
초 137
 
5.2%
구 136
 
5.2%
울 136
 
5.2%
로 133
 
5.1%
시 132
 
5.0%
별 132
 
5.0%
특 132
 
5.0%
2 83
 
3.2%
Other values (60) 913
34.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1672
63.8%
Decimal Number 503
 
19.2%
Space Separator 407
 
15.5%
Dash Punctuation 37
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 278
16.6%
초 137
 
8.2%
구 136
 
8.1%
울 136
 
8.1%
로 133
 
8.0%
시 132
 
7.9%
별 132
 
7.9%
특 132
 
7.9%
길 74
 
4.4%
대 28
 
1.7%
Other values (48) 354
21.2%
Decimal Number
ValueCountFrequency (%)
2 83
16.5%
3 72
14.3%
1 57
11.3%
5 55
10.9%
7 53
10.5%
9 53
10.5%
6 47
9.3%
4 47
9.3%
8 32
 
6.4%
0 4
 
0.8%
Space Separator
ValueCountFrequency (%)
407
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1672
63.8%
Common 947
36.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 278
16.6%
초 137
 
8.2%
구 136
 
8.1%
울 136
 
8.1%
로 133
 
8.0%
시 132
 
7.9%
별 132
 
7.9%
특 132
 
7.9%
길 74
 
4.4%
대 28
 
1.7%
Other values (48) 354
21.2%
Common
ValueCountFrequency (%)
407
43.0%
2 83
 
8.8%
3 72
 
7.6%
1 57
 
6.0%
5 55
 
5.8%
7 53
 
5.6%
9 53
 
5.6%
6 47
 
5.0%
4 47
 
5.0%
- 37
 
3.9%
Other values (2) 36
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1672
63.8%
ASCII 947
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
407
43.0%
2 83
 
8.8%
3 72
 
7.6%
1 57
 
6.0%
5 55
 
5.8%
7 53
 
5.6%
9 53
 
5.6%
6 47
 
5.0%
4 47
 
5.0%
- 37
 
3.9%
Other values (2) 36
 
3.8%
Hangul
ValueCountFrequency (%)
서 278
16.6%
초 137
 
8.2%
구 136
 
8.1%
울 136
 
8.1%
로 133
 
8.0%
시 132
 
7.9%
별 132
 
7.9%
특 132
 
7.9%
길 74
 
4.4%
대 28
 
1.7%
Other values (48) 354
21.2%

도로명상세주소
Text

Distinct52
Distinct (%)38.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-04T01:23:30.453107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length10.191176
Min length2

Characters and Unicode

Total characters1386
Distinct characters62
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)30.1%

Sample

1st row(신원동)
2nd row/ 서울우솔초등학교 (우면동)
3rd row/ 세화여자중학교 (반포동/강당)
4th row(방배동)
5th row(방배동/동덕여자중고등학교)
ValueCountFrequency (%)
방배동 23
13.8%
서초동 17
 
10.2%
16
 
9.6%
서초동/양재고등학교 15
 
9.0%
서초동/서울고등학교 14
 
8.4%
반포동 9
 
5.4%
동덕여자고등학교 5
 
3.0%
양재동/언남고등학교 4
 
2.4%
세화여자고등학교 4
 
2.4%
방배동/서문여자고등학교 4
 
2.4%
Other values (50) 56
33.5%
2024-05-04T01:23:31.506228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 141
 
10.2%
( 131
 
9.5%
) 131
 
9.5%
교 96
 
6.9%
학 95
 
6.9%
/ 94
 
6.8%
서 89
 
6.4%
초 80
 
5.8%
등 78
 
5.6%
고 55
 
4.0%
Other values (52) 396
28.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 996
71.9%
Open Punctuation 131
 
9.5%
Close Punctuation 131
 
9.5%
Other Punctuation 95
 
6.9%
Space Separator 31
 
2.2%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 141
14.2%
교 96
 
9.6%
학 95
 
9.5%
서 89
 
8.9%
초 80
 
8.0%
등 78
 
7.8%
고 55
 
5.5%
방 40
 
4.0%
배 39
 
3.9%
반 30
 
3.0%
Other values (45) 253
25.4%
Other Punctuation
ValueCountFrequency (%)
/ 94
98.9%
, 1
 
1.1%
Decimal Number
ValueCountFrequency (%)
9 1
50.0%
5 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 131
100.0%
Close Punctuation
ValueCountFrequency (%)
) 131
100.0%
Space Separator
ValueCountFrequency (%)
31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 996
71.9%
Common 390
 
28.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 141
14.2%
교 96
 
9.6%
학 95
 
9.5%
서 89
 
8.9%
초 80
 
8.0%
등 78
 
7.8%
고 55
 
5.5%
방 40
 
4.0%
배 39
 
3.9%
반 30
 
3.0%
Other values (45) 253
25.4%
Common
ValueCountFrequency (%)
( 131
33.6%
) 131
33.6%
/ 94
24.1%
31
 
7.9%
9 1
 
0.3%
5 1
 
0.3%
, 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 996
71.9%
ASCII 390
 
28.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 141
14.2%
교 96
 
9.6%
학 95
 
9.5%
서 89
 
8.9%
초 80
 
8.0%
등 78
 
7.8%
고 55
 
5.5%
방 40
 
4.0%
배 39
 
3.9%
반 30
 
3.0%
Other values (45) 253
25.4%
ASCII
ValueCountFrequency (%)
( 131
33.6%
) 131
33.6%
/ 94
24.1%
31
 
7.9%
9 1
 
0.3%
5 1
 
0.3%
, 1
 
0.3%

전화번호
Text

Distinct57
Distinct (%)41.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-04T01:23:32.175332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11
Mean length11.477941
Min length11

Characters and Unicode

Total characters1561
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

Unique45 ?
Unique (%)33.1%

Sample

1st row02-571-9532
2nd row02-3463-9069
3rd row02-594-4887
4th row02-3015-3600
5th row02-586-5417
ValueCountFrequency (%)
02-6011-4100 16
 
11.8%
02-571-4457 15
 
11.0%
02-582-8151 14
 
10.3%
02-3488-5200 9
 
6.6%
02-584-4234 8
 
5.9%
02-586-5418 5
 
3.7%
02-2258-4300/4100 4
 
2.9%
02-537-2131 4
 
2.9%
02-594-8721 4
 
2.9%
02-586-3141 4
 
2.9%
Other values (47) 53
39.0%
2024-05-04T01:23:33.132697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 272
17.4%
0 260
16.7%
2 216
13.8%
5 171
11.0%
1 158
10.1%
4 131
8.4%
8 103
 
6.6%
3 69
 
4.4%
7 68
 
4.4%
6 65
 
4.2%
Other values (2) 48
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1285
82.3%
Dash Punctuation 272
 
17.4%
Other Punctuation 4
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 260
20.2%
2 216
16.8%
5 171
13.3%
1 158
12.3%
4 131
10.2%
8 103
 
8.0%
3 69
 
5.4%
7 68
 
5.3%
6 65
 
5.1%
9 44
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 272
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1561
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 272
17.4%
0 260
16.7%
2 216
13.8%
5 171
11.0%
1 158
10.1%
4 131
8.4%
8 103
 
6.6%
3 69
 
4.4%
7 68
 
4.4%
6 65
 
4.2%
Other values (2) 48
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1561
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 272
17.4%
0 260
16.7%
2 216
13.8%
5 171
11.0%
1 158
10.1%
4 131
8.4%
8 103
 
6.6%
3 69
 
4.4%
7 68
 
4.4%
6 65
 
4.2%
Other values (2) 48
 
3.1%

홈페이지주소
Text

Distinct57
Distinct (%)41.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-04T01:23:33.687680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length22.992647
Min length16

Characters and Unicode

Total characters3127
Distinct characters29
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)33.1%

Sample

1st rowhttps://naegok.sen.ms.kr
2nd rowhttp://woosol.sen.es.kr
3rd rowhttp://www.sewha.ms.kr
4th rowhttps://suhmoon.sen.ms.kr/
5th rowhttp://dongduk.sen.ms.kr
ValueCountFrequency (%)
https://swas.sen.hs.kr 16
 
11.8%
http://yangjae.sen.hs.kr 15
 
11.0%
http://seoul.sen.hs.kr 14
 
10.3%
http://seocho.sen.sc.kr 9
 
6.6%
http://seocho.sen.hs.kr 8
 
5.9%
http://dongduk.sen.hs.kr 5
 
3.7%
http://banpo.sen.hs.kr 4
 
2.9%
http://www.sehwa-gs.hs.kr 4
 
2.9%
http://www.sehwa.hs.kr 4
 
2.9%
http://www.sangmoon.hs.kr 4
 
2.9%
Other values (47) 53
39.0%
2024-05-04T01:23:34.918499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 399
12.8%
s 360
11.5%
/ 272
 
8.7%
t 264
 
8.4%
h 255
 
8.2%
e 210
 
6.7%
n 186
 
5.9%
k 141
 
4.5%
p 140
 
4.5%
r 139
 
4.4%
Other values (19) 761
24.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2312
73.9%
Other Punctuation 803
 
25.7%
Dash Punctuation 7
 
0.2%
Decimal Number 5
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 360
15.6%
t 264
11.4%
h 255
11.0%
e 210
9.1%
n 186
8.0%
k 141
 
6.1%
p 140
 
6.1%
r 139
 
6.0%
w 132
 
5.7%
o 130
 
5.6%
Other values (12) 355
15.4%
Other Punctuation
ValueCountFrequency (%)
. 399
49.7%
/ 272
33.9%
: 132
 
16.4%
Decimal Number
ValueCountFrequency (%)
8 2
40.0%
2 2
40.0%
1 1
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2312
73.9%
Common 815
 
26.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 360
15.6%
t 264
11.4%
h 255
11.0%
e 210
9.1%
n 186
8.0%
k 141
 
6.1%
p 140
 
6.1%
r 139
 
6.0%
w 132
 
5.7%
o 130
 
5.6%
Other values (12) 355
15.4%
Common
ValueCountFrequency (%)
. 399
49.0%
/ 272
33.4%
: 132
 
16.2%
- 7
 
0.9%
8 2
 
0.2%
2 2
 
0.2%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3127
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 399
12.8%
s 360
11.5%
/ 272
 
8.7%
t 264
 
8.4%
h 255
 
8.2%
e 210
 
6.7%
n 186
 
5.9%
k 141
 
4.5%
p 140
 
4.5%
r 139
 
4.4%
Other values (19) 761
24.3%

팩스번호
Text

Distinct57
Distinct (%)41.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-04T01:23:35.557521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.169118
Min length11

Characters and Unicode

Total characters1519
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)33.1%

Sample

1st row02-571-9533
2nd row02-3463-9071
3rd row02-594-4858
4th row02-594-6063
5th row02-582-5428
ValueCountFrequency (%)
02-597-9693 16
 
11.8%
02-578-7507 15
 
11.0%
02-587-3933 14
 
10.3%
02-3486-6276 9
 
6.6%
02-583-6035 8
 
5.9%
02-582-7306 5
 
3.7%
02-2258-4242 4
 
2.9%
02-595-6586 4
 
2.9%
02-599-3101 4
 
2.9%
02-586-3136 4
 
2.9%
Other values (47) 53
39.0%
2024-05-04T01:23:36.593200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 272
17.9%
2 197
13.0%
0 195
12.8%
5 182
12.0%
3 129
8.5%
7 127
8.4%
9 125
8.2%
6 102
 
6.7%
8 98
 
6.5%
4 57
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1247
82.1%
Dash Punctuation 272
 
17.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 197
15.8%
0 195
15.6%
5 182
14.6%
3 129
10.3%
7 127
10.2%
9 125
10.0%
6 102
8.2%
8 98
7.9%
4 57
 
4.6%
1 35
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 272
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1519
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 272
17.9%
2 197
13.0%
0 195
12.8%
5 182
12.0%
3 129
8.5%
7 127
8.4%
9 125
8.2%
6 102
 
6.7%
8 98
 
6.5%
4 57
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1519
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 272
17.9%
2 197
13.0%
0 195
12.8%
5 182
12.0%
3 129
8.5%
7 127
8.4%
9 125
8.2%
6 102
 
6.7%
8 98
 
6.5%
4 57
 
3.8%

남녀공학구분명
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
남여공학
95 
남
25 
여
16 

Length

Max length4
Median length4
Mean length3.0955882
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row남여공학
2nd row남여공학
3rd row여
4th row여
5th row여

Common Values

ValueCountFrequency (%)
남여공학 95
69.9%
남 25
 
18.4%
여 16
 
11.8%

Length

2024-05-04T01:23:37.085807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T01:23:37.458094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남여공학 95
69.9%
남 25
 
18.4%
여 16
 
11.8%

고등학교구분명
Categorical

Distinct4
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
일반고
58 
<NA>
45 
특성화고
25 
자율고
8 

Length

Max length4
Median length4
Mean length3.5147059
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반고 58
42.6%
<NA> 45
33.1%
특성화고 25
18.4%
자율고 8
 
5.9%

Length

2024-05-04T01:23:37.849562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T01:23:38.246222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반고 58
42.6%
na 45
33.1%
특성화고 25
18.4%
자율고 8
 
5.9%

산업체특별학급존재여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size268.0 B
False
136 
ValueCountFrequency (%)
False 136
100.0%
2024-05-04T01:23:38.545224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

고등학교일반실업구분명
Categorical

Distinct4
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
일반계
101 
전문계
25 
해당없음
 
7
<NA>
 
3

Length

Max length4
Median length3
Mean length3.0735294
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반계 101
74.3%
전문계 25
 
18.4%
해당없음 7
 
5.1%
<NA> 3
 
2.2%

Length

2024-05-04T01:23:38.881367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T01:23:39.222840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반계 101
74.3%
전문계 25
 
18.4%
해당없음 7
 
5.1%
na 3
 
2.2%

특수목적고등학교계열명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
127 
예술계열
 
9

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 127
93.4%
예술계열 9
 
6.6%

Length

2024-05-04T01:23:39.537713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T01:23:39.861254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 127
93.4%
예술계열 9
 
6.6%

입시전후기구분명
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
전기
77 
후기
59 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row후기
2nd row전기
3rd row전기
4th row전기
5th row전기

Common Values

ValueCountFrequency (%)
전기 77
56.6%
후기 59
43.4%

Length

2024-05-04T01:23:40.201078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T01:23:40.526348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전기 77
56.6%
후기 59
43.4%

주야구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
주간
136 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주간 136
100.0%

Length

2024-05-04T01:23:40.857225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T01:23:41.123875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주간 136
100.0%

설립일자
Real number (ℝ)

Distinct55
Distinct (%)40.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19789020
Minimum18820908
Maximum20190901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-04T01:23:41.368244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18820908
5-th percentile19280419
Q119735547
median19840112
Q319910331
95-th percentile20140101
Maximum20190901
Range1369993
Interquartile range (IQR)174783.5

Descriptive statistics

Standard deviation252613.11
Coefficient of variation (CV)0.012765317
Kurtosis2.1774394
Mean19789020
Median Absolute Deviation (MAD)99892.5
Skewness-1.3294809
Sum2.6913067 × 109
Variance6.3813384 × 1010
MonotonicityNot monotonic
2024-05-04T01:23:41.666481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19900120 16
 
11.8%
19940105 16
 
11.8%
19460201 14
 
10.3%
20140101 9
 
6.6%
19840112 8
 
5.9%
19100428 5
 
3.7%
19831226 4
 
2.9%
19860125 4
 
2.9%
19721223 4
 
2.9%
19721229 4
 
2.9%
Other values (45) 52
38.2%
ValueCountFrequency (%)
18820908 1
 
0.7%
19080427 1
 
0.7%
19100428 5
 
3.7%
19340416 1
 
0.7%
19360601 1
 
0.7%
19460201 14
10.3%
19460402 1
 
0.7%
19530131 1
 
0.7%
19691111 1
 
0.7%
19721223 4
 
2.9%
ValueCountFrequency (%)
20190901 1
 
0.7%
20180208 1
 
0.7%
20140101 9
6.6%
20130301 1
 
0.7%
20120301 1
 
0.7%
20101020 1
 
0.7%
20080301 1
 
0.7%
20070830 1
 
0.7%
20010407 1
 
0.7%
19940805 1
 
0.7%

개교기념일
Real number (ℝ)

Distinct57
Distinct (%)41.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19790924
Minimum18820908
Maximum20190901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-04T01:23:41.935610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18820908
5-th percentile19280419
Q119735547
median19840426
Q319910969
95-th percentile20140415
Maximum20190901
Range1369993
Interquartile range (IQR)175421.5

Descriptive statistics

Standard deviation252453.23
Coefficient of variation (CV)0.01275601
Kurtosis2.1817358
Mean19790924
Median Absolute Deviation (MAD)100080
Skewness-1.3392849
Sum2.6915656 × 109
Variance6.3732632 × 1010
MonotonicityNot monotonic
2024-05-04T01:23:42.374618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19940506 16
 
11.8%
19901123 15
 
11.0%
19460201 14
 
10.3%
20140415 9
 
6.6%
19840418 8
 
5.9%
19100428 5
 
3.7%
19861230 4
 
2.9%
19840426 4
 
2.9%
19860430 4
 
2.9%
19721223 4
 
2.9%
Other values (47) 53
39.0%
ValueCountFrequency (%)
18820908 1
 
0.7%
19100427 1
 
0.7%
19100428 5
 
3.7%
19340416 1
 
0.7%
19360601 1
 
0.7%
19460201 14
10.3%
19460402 1
 
0.7%
19530522 1
 
0.7%
19700525 1
 
0.7%
19721223 4
 
2.9%
ValueCountFrequency (%)
20190901 1
 
0.7%
20180501 1
 
0.7%
20140415 9
6.6%
20130610 1
 
0.7%
20120605 1
 
0.7%
20101020 1
 
0.7%
20080424 1
 
0.7%
20070830 1
 
0.7%
20010407 1
 
0.7%
19941101 1
 
0.7%

시도교육청코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
B10
136 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowB10
2nd rowB10
3rd rowB10
4th rowB10
5th rowB10

Common Values

ValueCountFrequency (%)
B10 136
100.0%

Length

2024-05-04T01:23:42.629504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T01:23:42.802373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
b10 136
100.0%

시도교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
서울특별시교육청
136 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시교육청 136
100.0%

Length

2024-05-04T01:23:42.984322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T01:23:43.221687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 136
100.0%

소재지명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
서울특별시
136 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시 136
100.0%

Length

2024-05-04T01:23:43.454152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T01:23:43.631904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 136
100.0%

주야과정
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
주간
91 
<NA>
45 

Length

Max length4
Median length2
Mean length2.6617647
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주간 91
66.9%
<NA> 45
33.1%

Length

2024-05-04T01:23:43.833822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T01:23:44.045400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주간 91
66.9%
na 45
33.1%

계열명
Categorical

Distinct5
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
일반계
65 
<NA>
45 
특성화
16 
통합계
9 
상업계
 
1

Length

Max length4
Median length3
Mean length3.3308824
Min length3

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
일반계 65
47.8%
<NA> 45
33.1%
특성화 16
 
11.8%
통합계 9
 
6.6%
상업계 1
 
0.7%

Length

2024-05-04T01:23:44.235047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T01:23:44.432787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반계 65
47.8%
na 45
33.1%
특성화 16
 
11.8%
통합계 9
 
6.6%
상업계 1
 
0.7%

학과명
Categorical

Distinct45
Distinct (%)33.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
45 
일반학과
10 
인문사회과정
10 
자연과정
10 
공통과정
10 
Other values (40)
51 

Length

Max length12
Median length4
Mean length4.5073529
Min length3

Unique

Unique30 ?
Unique (%)22.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
33.1%
일반학과 10
 
7.4%
인문사회과정 10
 
7.4%
자연과정 10
 
7.4%
공통과정 10
 
7.4%
전기과 3
 
2.2%
영어과 2
 
1.5%
금형설계과 2
 
1.5%
기계과 2
 
1.5%
비서과 2
 
1.5%
Other values (35) 40
29.4%

Length

2024-05-04T01:23:44.687062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 45
33.1%
인문사회과정 10
 
7.4%
자연과정 10
 
7.4%
공통과정 10
 
7.4%
일반학과 10
 
7.4%
전기과 3
 
2.2%
금속과 2
 
1.5%
섬유과 2
 
1.5%
항공과 2
 
1.5%
전자계산과 2
 
1.5%
Other values (35) 40
29.4%

적재일시
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
20230615
124 
20230627
 
11
20240331
 
1

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row20230615
2nd row20230615
3rd row20230615
4th row20230615
5th row20230615

Common Values

ValueCountFrequency (%)
20230615 124
91.2%
20230627 11
 
8.1%
20240331 1
 
0.7%

Length

2024-05-04T01:23:45.028349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T01:23:45.323111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20230615 124
91.2%
20230627 11
 
8.1%
20240331 1
 
0.7%

Sample

학교종류명설립구분표준학교코드학교명영문학교명관할조직명도로명우편번호도로명주소도로명상세주소전화번호홈페이지주소팩스번호남녀공학구분명고등학교구분명산업체특별학급존재여부고등학교일반실업구분명특수목적고등학교계열명입시전후기구분명주야구분명설립일자개교기념일시도교육청코드시도교육청명소재지명주야과정계열명학과명적재일시
0중학교공립7091486내곡중학교NAEGOK MIDDLE SCHOOL서울특별시강남서초교육지원청6799서울특별시 서초구 청계산로7길 9-20(신원동)02-571-9532https://naegok.sen.ms.kr02-571-9533남여공학<NA>N해당없음<NA>후기주간2018020820180501B10서울특별시교육청서울특별시<NA><NA><NA>20230615
1초등학교공립7091460서울우솔초등학교Seoul Woosol Elementary School서울특별시강남서초교육지원청6767서울특별시 서초구 양재대로2길 74/ 서울우솔초등학교 (우면동)02-3463-9069http://woosol.sen.es.kr02-3463-9071남여공학<NA>N<NA><NA>전기주간2013030120130610B10서울특별시교육청서울특별시<NA><NA><NA>20230615
2중학교사립7091452세화여자중학교Sehwa Girls’ Middle School서울특별시강남서초교육지원청6548서울특별시 서초구 신반포로 56-7/ 세화여자중학교 (반포동/강당)02-594-4887http://www.sewha.ms.kr02-594-4858여<NA>N일반계<NA>전기주간1978021819780506B10서울특별시교육청서울특별시<NA><NA><NA>20230615
3중학교사립7091451서문여자중학교Suhmoon Girls’ Middle School서울특별시강남서초교육지원청6565서울특별시 서초구 동광로12길 84(방배동)02-3015-3600https://suhmoon.sen.ms.kr/02-594-6063여<NA>N일반계<NA>전기주간1978122919781229B10서울특별시교육청서울특별시<NA><NA><NA>20230615
4중학교사립7091450동덕여자중학교Dong Duk Girls’ Middle School서울특별시강남서초교육지원청6700서울특별시 서초구 효령로2길 123-5(방배동/동덕여자중고등학교)02-586-5417http://dongduk.sen.ms.kr02-582-5428여<NA>N일반계<NA>전기주간1908042719100427B10서울특별시교육청서울특별시<NA><NA><NA>20230615
5중학교공립7091447이수중학교Isu Middle School서울특별시강남서초교육지원청6689서울특별시 서초구 방배중앙로3길 32(방배동/이수중학교)02-521-4651http://www.isu.ms.kr02-521-1283남<NA>N일반계<NA>전기주간1982010719820921B10서울특별시교육청서울특별시<NA><NA><NA>20230615
6중학교공립7091446원촌중학교Wonchon Middle School서울특별시강남서초교육지원청6544서울특별시 서초구 사평대로45길 10(반포동/원촌중학교)02-3482-6053http://wonchon.sen.ms.kr02-535-0238남여공학<NA>N일반계<NA>전기주간1982120919830426B10서울특별시교육청서울특별시<NA><NA><NA>20230615
7중학교공립7091445영동중학교Youngdong Middle School서울특별시강남서초교육지원청6765서울특별시 서초구 성촌길 14(우면동/영동중학교)02-3474-7386http://youngdong.sen.ms.kr02-3474-1960남여공학<NA>N일반계<NA>전기주간1969111119700525B10서울특별시교육청서울특별시<NA><NA><NA>20230615
8중학교공립7091441언남중학교Eonnam Middle School서울특별시강남서초교육지원청6780서울특별시 서초구 동산로 55(양재동/언남중학교)02-577-3038www.eonnam.ms.kr02-574-0546남여공학<NA>N일반계<NA>전기주간1988122419890510B10서울특별시교육청서울특별시<NA><NA><NA>20230615
9중학교공립7091438신반포중학교Shinbanpo Middle School서울특별시강남서초교육지원청6504서울특별시 서초구 신반포로19길 26/ 신반포중학교 (반포동/신반포중학교)02-537-6731shinbanpo.sen.ms.kr02-593-0964남여공학<NA>N일반계<NA>전기주간1984010919840502B10서울특별시교육청서울특별시<NA><NA><NA>20230615
학교종류명설립구분표준학교코드학교명영문학교명관할조직명도로명우편번호도로명주소도로명상세주소전화번호홈페이지주소팩스번호남녀공학구분명고등학교구분명산업체특별학급존재여부고등학교일반실업구분명특수목적고등학교계열명입시전후기구분명주야구분명설립일자개교기념일시도교육청코드시도교육청명소재지명주야과정계열명학과명적재일시
126고등학교공립7010083서울고등학교Seoul High School서울특별시교육청6669서울특별시 서초구 효령로 197(서초동/서울고등학교)02-582-8151http://seoul.sen.hs.kr02-587-3933남일반고N일반계<NA>후기주간1946020119460201B10서울특별시교육청서울특별시주간일반계섬유과20230615
127고등학교공립7010083서울고등학교Seoul High School서울특별시교육청6669서울특별시 서초구 효령로 197(서초동/서울고등학교)02-582-8151http://seoul.sen.hs.kr02-587-3933남일반고N일반계<NA>후기주간1946020119460201B10서울특별시교육청서울특별시주간일반계비서과20230615
128고등학교공립7010083서울고등학교Seoul High School서울특별시교육청6669서울특별시 서초구 효령로 197(서초동/서울고등학교)02-582-8151http://seoul.sen.hs.kr02-587-3933남일반고N일반계<NA>후기주간1946020119460201B10서울특별시교육청서울특별시주간일반계기계과20230615
129고등학교공립7010083서울고등학교Seoul High School서울특별시교육청6669서울특별시 서초구 효령로 197(서초동/서울고등학교)02-582-8151http://seoul.sen.hs.kr02-587-3933남일반고N일반계<NA>후기주간1946020119460201B10서울특별시교육청서울특별시주간일반계금형설계과20230615
130고등학교공립7010083서울고등학교Seoul High School서울특별시교육청6669서울특별시 서초구 효령로 197(서초동/서울고등학교)02-582-8151http://seoul.sen.hs.kr02-587-3933남일반고N일반계<NA>후기주간1946020119460201B10서울특별시교육청서울특별시주간일반계금속과20230615
131고등학교공립7010083서울고등학교Seoul High School서울특별시교육청6669서울특별시 서초구 효령로 197(서초동/서울고등학교)02-582-8151http://seoul.sen.hs.kr02-587-3933남일반고N일반계<NA>후기주간1946020119460201B10서울특별시교육청서울특별시주간일반계공통과정20230615
132고등학교공립7010080반포고등학교Banpo High School서울특별시교육청6598서울특별시 서초구 고무래로 71(반포동/반포고등학교)02-2258-4300/4100http://banpo.sen.hs.kr02-2258-4242남여공학일반고N일반계<NA>후기주간1983122619840426B10서울특별시교육청서울특별시주간일반계자연과정20230615
133고등학교공립7010080반포고등학교Banpo High School서울특별시교육청6598서울특별시 서초구 고무래로 71(반포동/반포고등학교)02-2258-4300/4100http://banpo.sen.hs.kr02-2258-4242남여공학일반고N일반계<NA>후기주간1983122619840426B10서울특별시교육청서울특별시주간일반계일반학과20230615
134고등학교공립7010080반포고등학교Banpo High School서울특별시교육청6598서울특별시 서초구 고무래로 71(반포동/반포고등학교)02-2258-4300/4100http://banpo.sen.hs.kr02-2258-4242남여공학일반고N일반계<NA>후기주간1983122619840426B10서울특별시교육청서울특별시주간일반계인문사회과정20230615
135고등학교공립7010080반포고등학교Banpo High School서울특별시교육청6598서울특별시 서초구 고무래로 71(반포동/반포고등학교)02-2258-4300/4100http://banpo.sen.hs.kr02-2258-4242남여공학일반고N일반계<NA>후기주간1983122619840426B10서울특별시교육청서울특별시주간일반계공통과정20230615