Overview

Dataset statistics

Number of variables28
Number of observations69
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.6 KiB
Average record size in memory230.9 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
Author서대문구
URLhttps://data.seoul.go.kr/dataList/OA-20515/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 (62.5%)Imbalance
적재일시 is highly imbalanced (73.0%)Imbalance

Reproduction

Analysis started2024-05-04 04:27:31.366967
Analysis finished2024-05-04 04:27:32.102382
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학교종류명
Categorical

Distinct5
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size684.0 B
고등학교
30 
초등학교
19 
중학교
14 
특수학교
4 
외국인학교
 
2

Length

Max length5
Median length4
Mean length3.826087
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고등학교 30
43.5%
초등학교 19
27.5%
중학교 14
20.3%
특수학교 4
 
5.8%
외국인학교 2
 
2.9%

Length

2024-05-04T04:27:32.253977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:27:32.474765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고등학교 30
43.5%
초등학교 19
27.5%
중학교 14
20.3%
특수학교 4
 
5.8%
외국인학교 2
 
2.9%

설립구분
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
사립
38 
공립
31 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 38
55.1%
공립 31
44.9%

Length

2024-05-04T04:27:32.694009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:27:32.881824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 38
55.1%
공립 31
44.9%

표준학교코드
Real number (ℝ)

Distinct43
Distinct (%)62.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7020364.2
Minimum7010115
Maximum7031278
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-05-04T04:27:33.129020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7010115
5-th percentile7010115
Q17010254
median7011169
Q37031169
95-th percentile7031219
Maximum7031278
Range21163
Interquartile range (IQR)20915

Descriptive statistics

Standard deviation10430.131
Coefficient of variation (CV)0.0014856966
Kurtosis-2.0502076
Mean7020364.2
Median Absolute Deviation (MAD)1054
Skewness0.087164104
Sum4.8440513 × 108
Variance1.0878764 × 108
MonotonicityDecreasing
2024-05-04T04:27:33.412630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
7010115 5
 
7.2%
7010254 5
 
7.2%
7011169 4
 
5.8%
7010163 4
 
5.8%
7010231 4
 
5.8%
7010243 4
 
5.8%
7010547 4
 
5.8%
7010859 4
 
5.8%
7031117 1
 
1.4%
7031146 1
 
1.4%
Other values (33) 33
47.8%
ValueCountFrequency (%)
7010115 5
7.2%
7010163 4
5.8%
7010231 4
5.8%
7010243 4
5.8%
7010254 5
7.2%
7010547 4
5.8%
7010804 1
 
1.4%
7010838 1
 
1.4%
7010859 4
5.8%
7011169 4
5.8%
ValueCountFrequency (%)
7031278 1
1.4%
7031261 1
1.4%
7031222 1
1.4%
7031221 1
1.4%
7031216 1
1.4%
7031214 1
1.4%
7031213 1
1.4%
7031212 1
1.4%
7031211 1
1.4%
7031207 1
1.4%

학교명
Text

Distinct43
Distinct (%)62.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-05-04T04:27:33.777819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length8.2028986
Min length5

Characters and Unicode

Total characters566
Distinct characters53
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)50.7%

Sample

1st row서울가재울초등학교
2nd row가재울중학교
3rd row홍은중학교
4th row한성중학교
5th row중앙여자중학교
ValueCountFrequency (%)
한성과학고등학교 5
 
7.2%
한성고등학교 5
 
7.2%
연세대학교재활학교 4
 
5.8%
이화여자대학교사범대학부속이화금란고등학교 4
 
5.8%
가재울고등학교 4
 
5.8%
중앙여자고등학교 4
 
5.8%
인창고등학교 4
 
5.8%
명지고등학교 4
 
5.8%
서울고은초등학교 1
 
1.4%
서울금화초등학교 1
 
1.4%
Other values (33) 33
47.8%
2024-05-04T04:27:34.437596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 90
15.9%
교 80
 
14.1%
등 50
 
8.8%
고 32
 
5.7%
울 22
 
3.9%
중 20
 
3.5%
초 19
 
3.4%
서 18
 
3.2%
대 17
 
3.0%
성 13
 
2.3%
Other values (43) 205
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 565
99.8%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 90
15.9%
교 80
 
14.2%
등 50
 
8.8%
고 32
 
5.7%
울 22
 
3.9%
중 20
 
3.5%
초 19
 
3.4%
서 18
 
3.2%
대 17
 
3.0%
성 13
 
2.3%
Other values (42) 204
36.1%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 565
99.8%
Common 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 90
15.9%
교 80
 
14.2%
등 50
 
8.8%
고 32
 
5.7%
울 22
 
3.9%
중 20
 
3.5%
초 19
 
3.4%
서 18
 
3.2%
대 17
 
3.0%
성 13
 
2.3%
Other values (42) 204
36.1%
Common
ValueCountFrequency (%)
· 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 565
99.8%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 90
15.9%
교 80
 
14.2%
등 50
 
8.8%
고 32
 
5.7%
울 22
 
3.9%
중 20
 
3.5%
초 19
 
3.4%
서 18
 
3.2%
대 17
 
3.0%
성 13
 
2.3%
Other values (42) 204
36.1%
None
ValueCountFrequency (%)
· 1
100.0%

영문학교명
Text

Distinct43
Distinct (%)62.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-05-04T04:27:34.868128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length32
Mean length25.942029
Min length7

Characters and Unicode

Total characters1790
Distinct characters53
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)50.7%

Sample

1st rowSeoul Gajaeul Elementary School
2nd rowGajaeul Middle School
3rd rowHong-eun Middle School
4th rowHanseong Middle School
5th rowJungang Girls’ Middle School
ValueCountFrequency (%)
school 67
27.2%
high 30
12.2%
elementary 19
 
7.7%
seoul 15
 
6.1%
middle 14
 
5.7%
university 10
 
4.1%
girls’ 7
 
2.8%
womans 6
 
2.4%
myongji 6
 
2.4%
gajaeul 6
 
2.4%
Other values (32) 66
26.8%
2024-05-04T04:27:35.484336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 193
 
10.8%
178
 
9.9%
l 132
 
7.4%
n 126
 
7.0%
e 123
 
6.9%
h 117
 
6.5%
i 104
 
5.8%
S 89
 
5.0%
c 82
 
4.6%
g 79
 
4.4%
Other values (43) 567
31.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1332
74.4%
Uppercase Letter 248
 
13.9%
Space Separator 178
 
9.9%
Other Letter 18
 
1.0%
Final Punctuation 7
 
0.4%
Dash Punctuation 7
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 193
14.5%
l 132
9.9%
n 126
9.5%
e 123
9.2%
h 117
8.8%
i 104
7.8%
c 82
 
6.2%
g 79
 
5.9%
a 77
 
5.8%
u 44
 
3.3%
Other values (11) 255
19.1%
Uppercase Letter
ValueCountFrequency (%)
S 89
35.9%
H 45
18.1%
E 25
 
10.1%
M 21
 
8.5%
G 15
 
6.0%
U 10
 
4.0%
Y 8
 
3.2%
I 7
 
2.8%
W 6
 
2.4%
J 6
 
2.4%
Other values (6) 16
 
6.5%
Other Letter
ValueCountFrequency (%)
교 3
16.7%
국 2
11.1%
한 2
11.1%
학 2
11.1%
인 1
 
5.6%
외 1
 
5.6%
울 1
 
5.6%
성 1
 
5.6%
화 1
 
5.6%
중 1
 
5.6%
Other values (3) 3
16.7%
Space Separator
ValueCountFrequency (%)
178
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1580
88.3%
Common 192
 
10.7%
Hangul 18
 
1.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 193
12.2%
l 132
 
8.4%
n 126
 
8.0%
e 123
 
7.8%
h 117
 
7.4%
i 104
 
6.6%
S 89
 
5.6%
c 82
 
5.2%
g 79
 
5.0%
a 77
 
4.9%
Other values (27) 458
29.0%
Hangul
ValueCountFrequency (%)
교 3
16.7%
국 2
11.1%
한 2
11.1%
학 2
11.1%
인 1
 
5.6%
외 1
 
5.6%
울 1
 
5.6%
성 1
 
5.6%
화 1
 
5.6%
중 1
 
5.6%
Other values (3) 3
16.7%
Common
ValueCountFrequency (%)
178
92.7%
’ 7
 
3.6%
- 7
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1765
98.6%
Hangul 18
 
1.0%
Punctuation 7
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 193
 
10.9%
178
 
10.1%
l 132
 
7.5%
n 126
 
7.1%
e 123
 
7.0%
h 117
 
6.6%
i 104
 
5.9%
S 89
 
5.0%
c 82
 
4.6%
g 79
 
4.5%
Other values (29) 542
30.7%
Punctuation
ValueCountFrequency (%)
’ 7
100.0%
Hangul
ValueCountFrequency (%)
교 3
16.7%
국 2
11.1%
한 2
11.1%
학 2
11.1%
인 1
 
5.6%
외 1
 
5.6%
울 1
 
5.6%
성 1
 
5.6%
화 1
 
5.6%
중 1
 
5.6%
Other values (3) 3
16.7%

관할조직명
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
서울특별시교육청
36 
서울특별시서부교육지원청
33 

Length

Max length12
Median length8
Mean length9.9130435
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시교육청 36
52.2%
서울특별시서부교육지원청 33
47.8%

Length

2024-05-04T04:27:35.781703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:27:36.139268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 36
52.2%
서울특별시서부교육지원청 33
47.8%

도로명우편번호
Real number (ℝ)

Distinct31
Distinct (%)44.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3721.3188
Minimum3616
Maximum3790
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-05-04T04:27:36.451906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3616
5-th percentile3635.4
Q13709
median3732
Q33762
95-th percentile3771
Maximum3790
Range174
Interquartile range (IQR)53

Descriptive statistics

Standard deviation46.264423
Coefficient of variation (CV)0.012432265
Kurtosis-0.44781087
Mean3721.3188
Median Absolute Deviation (MAD)28
Skewness-0.77763785
Sum256771
Variance2140.3968
MonotonicityNot monotonic
2024-05-04T04:27:36.884260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
3771 6
 
8.7%
3762 6
 
8.7%
3746 6
 
8.7%
3656 6
 
8.7%
3732 5
 
7.2%
3759 4
 
5.8%
3722 4
 
5.8%
3709 4
 
5.8%
3723 3
 
4.3%
3670 2
 
2.9%
Other values (21) 23
33.3%
ValueCountFrequency (%)
3616 1
 
1.4%
3617 1
 
1.4%
3620 1
 
1.4%
3629 1
 
1.4%
3645 1
 
1.4%
3648 1
 
1.4%
3652 1
 
1.4%
3656 6
8.7%
3657 1
 
1.4%
3670 2
 
2.9%
ValueCountFrequency (%)
3790 1
 
1.4%
3787 1
 
1.4%
3771 6
8.7%
3769 1
 
1.4%
3767 1
 
1.4%
3765 2
 
2.9%
3762 6
8.7%
3759 4
5.8%
3746 6
8.7%
3740 1
 
1.4%

도로명주소
Text

Distinct38
Distinct (%)55.1%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-05-04T04:27:37.368137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length19.478261
Min length17

Characters and Unicode

Total characters1344
Distinct characters64
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

Unique30 ?
Unique (%)43.5%

Sample

1st row서울특별시 서대문구 모래내로15길 61
2nd row서울특별시 서대문구 수색로 100-75
3rd row서울특별시 서대문구 연희로41길 94
4th row서울특별시 서대문구 북아현로1길 24
5th row서울특별시 서대문구 북아현로11가길 7
ValueCountFrequency (%)
서울특별시 69
25.1%
서대문구 69
25.1%
통일로 7
 
2.5%
북아현로1길 6
 
2.2%
24 6
 
2.2%
북아현로11가길 6
 
2.2%
7 6
 
2.2%
명지2길 6
 
2.2%
성산로 6
 
2.2%
수색로 5
 
1.8%
Other values (59) 89
32.4%
2024-05-04T04:27:38.157763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
206
15.3%
서 139
 
10.3%
대 76
 
5.7%
문 70
 
5.2%
울 69
 
5.1%
특 69
 
5.1%
별 69
 
5.1%
시 69
 
5.1%
구 69
 
5.1%
로 60
 
4.5%
Other values (54) 448
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 895
66.6%
Decimal Number 227
 
16.9%
Space Separator 206
 
15.3%
Dash Punctuation 16
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 139
15.5%
대 76
8.5%
문 70
7.8%
울 69
7.7%
특 69
7.7%
별 69
7.7%
시 69
7.7%
구 69
7.7%
로 60
 
6.7%
길 33
 
3.7%
Other values (42) 172
19.2%
Decimal Number
ValueCountFrequency (%)
1 42
18.5%
5 34
15.0%
2 32
14.1%
0 27
11.9%
7 21
9.3%
6 20
8.8%
9 19
8.4%
3 17
7.5%
4 14
 
6.2%
8 1
 
0.4%
Space Separator
ValueCountFrequency (%)
206
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 895
66.6%
Common 449
33.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 139
15.5%
대 76
8.5%
문 70
7.8%
울 69
7.7%
특 69
7.7%
별 69
7.7%
시 69
7.7%
구 69
7.7%
로 60
 
6.7%
길 33
 
3.7%
Other values (42) 172
19.2%
Common
ValueCountFrequency (%)
206
45.9%
1 42
 
9.4%
5 34
 
7.6%
2 32
 
7.1%
0 27
 
6.0%
7 21
 
4.7%
6 20
 
4.5%
9 19
 
4.2%
3 17
 
3.8%
- 16
 
3.6%
Other values (2) 15
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 895
66.6%
ASCII 449
33.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
206
45.9%
1 42
 
9.4%
5 34
 
7.6%
2 32
 
7.1%
0 27
 
6.0%
7 21
 
4.7%
6 20
 
4.5%
9 19
 
4.2%
3 17
 
3.8%
- 16
 
3.6%
Other values (2) 15
 
3.3%
Hangul
ValueCountFrequency (%)
서 139
15.5%
대 76
8.5%
문 70
7.8%
울 69
7.7%
특 69
7.7%
별 69
7.7%
시 69
7.7%
구 69
7.7%
로 60
 
6.7%
길 33
 
3.7%
Other values (42) 172
19.2%

도로명상세주소
Text

Distinct36
Distinct (%)52.2%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-05-04T04:27:38.495578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length11.681159
Min length5

Characters and Unicode

Total characters806
Distinct characters61
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

Unique26 ?
Unique (%)37.7%

Sample

1st row(남가좌동)
2nd row(북가좌동/ 가재울중학교)
3rd row(홍은동)
4th row(북아현동/한성중학교)
5th row(북아현동/ 중앙여자중학교)
ValueCountFrequency (%)
27
20.5%
북아현동 11
 
8.3%
홍은동 10
 
7.6%
북가좌동 6
 
4.5%
한성과학고등학교 5
 
3.8%
현저동 5
 
3.8%
연희동 5
 
3.8%
대신동 5
 
3.8%
홍제동 4
 
3.0%
명지고등학교 4
 
3.0%
Other values (33) 50
37.9%
2024-05-04T04:27:39.086583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 69
 
8.6%
) 69
 
8.6%
동 65
 
8.1%
63
 
7.8%
학 52
 
6.5%
교 47
 
5.8%
/ 45
 
5.6%
등 33
 
4.1%
북 22
 
2.7%
현 19
 
2.4%
Other values (51) 322
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 552
68.5%
Open Punctuation 69
 
8.6%
Close Punctuation 69
 
8.6%
Space Separator 63
 
7.8%
Other Punctuation 45
 
5.6%
Decimal Number 8
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 65
 
11.8%
학 52
 
9.4%
교 47
 
8.5%
등 33
 
6.0%
북 22
 
4.0%
현 19
 
3.4%
홍 19
 
3.4%
가 18
 
3.3%
고 18
 
3.3%
대 17
 
3.1%
Other values (44) 242
43.8%
Decimal Number
ValueCountFrequency (%)
2 6
75.0%
6 1
 
12.5%
9 1
 
12.5%
Open Punctuation
ValueCountFrequency (%)
( 69
100.0%
Close Punctuation
ValueCountFrequency (%)
) 69
100.0%
Space Separator
ValueCountFrequency (%)
63
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 552
68.5%
Common 254
31.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 65
 
11.8%
학 52
 
9.4%
교 47
 
8.5%
등 33
 
6.0%
북 22
 
4.0%
현 19
 
3.4%
홍 19
 
3.4%
가 18
 
3.3%
고 18
 
3.3%
대 17
 
3.1%
Other values (44) 242
43.8%
Common
ValueCountFrequency (%)
( 69
27.2%
) 69
27.2%
63
24.8%
/ 45
17.7%
2 6
 
2.4%
6 1
 
0.4%
9 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 552
68.5%
ASCII 254
31.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 69
27.2%
) 69
27.2%
63
24.8%
/ 45
17.7%
2 6
 
2.4%
6 1
 
0.4%
9 1
 
0.4%
Hangul
ValueCountFrequency (%)
동 65
 
11.8%
학 52
 
9.4%
교 47
 
8.5%
등 33
 
6.0%
북 22
 
4.0%
현 19
 
3.4%
홍 19
 
3.4%
가 18
 
3.3%
고 18
 
3.3%
대 17
 
3.1%
Other values (44) 242
43.8%

전화번호
Text

Distinct43
Distinct (%)62.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-05-04T04:27:39.542051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.15942
Min length8

Characters and Unicode

Total characters770
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

Unique35 ?
Unique (%)50.7%

Sample

1st row02-300-8600
2nd row02-726-1700
3rd row02-3216-0512
4th row02-365-4942
5th row02-362-3063
ValueCountFrequency (%)
02-6917-0000 5
 
7.2%
02-363-4943 5
 
7.2%
02-2123-8141 4
 
5.8%
02-361-6200 4
 
5.8%
02-6351-0500 4
 
5.8%
02-362-3062 4
 
5.8%
02-360-3700 4
 
5.8%
02-303-1540 4
 
5.8%
02-396-2652 1
 
1.4%
02-364-9264 1
 
1.4%
Other values (33) 33
47.8%
2024-05-04T04:27:40.467323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 158
20.5%
- 137
17.8%
2 121
15.7%
3 105
13.6%
6 64
8.3%
1 43
 
5.6%
4 40
 
5.2%
9 33
 
4.3%
7 31
 
4.0%
5 28
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 633
82.2%
Dash Punctuation 137
 
17.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 158
25.0%
2 121
19.1%
3 105
16.6%
6 64
10.1%
1 43
 
6.8%
4 40
 
6.3%
9 33
 
5.2%
7 31
 
4.9%
5 28
 
4.4%
8 10
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 137
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 770
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 158
20.5%
- 137
17.8%
2 121
15.7%
3 105
13.6%
6 64
8.3%
1 43
 
5.6%
4 40
 
5.2%
9 33
 
4.3%
7 31
 
4.0%
5 28
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 770
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 158
20.5%
- 137
17.8%
2 121
15.7%
3 105
13.6%
6 64
8.3%
1 43
 
5.6%
4 40
 
5.2%
9 33
 
4.3%
7 31
 
4.0%
5 28
 
3.6%

홈페이지주소
Text

Distinct43
Distinct (%)62.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-05-04T04:27:41.008325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length29
Mean length24.202899
Min length14

Characters and Unicode

Total characters1670
Distinct characters30
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

Unique35 ?
Unique (%)50.7%

Sample

1st rowhttp://www.gajaeul.es.kr
2nd rowhttp://gajaeul.sen.ms.kr
3rd rowhttp://www.hongeun.ms.kr
4th rowhttp://www.hanseong.ms.kr
5th rowhttp://jungang1940.ms.kr
ValueCountFrequency (%)
https://hansungsh.sen.hs.kr 5
 
7.2%
http://hanseong.sen.hs.kr 5
 
7.2%
http://www.yonsei.sc.kr 4
 
5.8%
http://edaebugo.sen.hs.kr 4
 
5.8%
http://www.gajaeul.hs.kr 4
 
5.8%
http://jungang-girls.sen.hs.kr 4
 
5.8%
http://www.inchang.ne.kr 4
 
5.8%
http://www.myongjigo.net 4
 
5.8%
http://goeun.sen.es.kr 1
 
1.4%
http://www.geumhwa.es.kr 1
 
1.4%
Other values (33) 33
47.8%
2024-05-04T04:27:42.059714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 199
11.9%
/ 141
 
8.4%
t 139
 
8.3%
s 133
 
8.0%
h 120
 
7.2%
w 118
 
7.1%
n 116
 
6.9%
e 97
 
5.8%
r 71
 
4.3%
g 69
 
4.1%
Other values (20) 467
28.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1255
75.1%
Other Punctuation 407
 
24.4%
Dash Punctuation 4
 
0.2%
Decimal Number 4
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 139
11.1%
s 133
10.6%
h 120
9.6%
w 118
9.4%
n 116
9.2%
e 97
 
7.7%
r 71
 
5.7%
g 69
 
5.5%
k 67
 
5.3%
p 67
 
5.3%
Other values (12) 258
20.6%
Decimal Number
ValueCountFrequency (%)
1 1
25.0%
9 1
25.0%
4 1
25.0%
0 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 199
48.9%
/ 141
34.6%
: 67
 
16.5%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1255
75.1%
Common 415
 
24.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 139
11.1%
s 133
10.6%
h 120
9.6%
w 118
9.4%
n 116
9.2%
e 97
 
7.7%
r 71
 
5.7%
g 69
 
5.5%
k 67
 
5.3%
p 67
 
5.3%
Other values (12) 258
20.6%
Common
ValueCountFrequency (%)
. 199
48.0%
/ 141
34.0%
: 67
 
16.1%
- 4
 
1.0%
1 1
 
0.2%
9 1
 
0.2%
4 1
 
0.2%
0 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1670
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 199
11.9%
/ 141
 
8.4%
t 139
 
8.3%
s 133
 
8.0%
h 120
 
7.2%
w 118
 
7.1%
n 116
 
6.9%
e 97
 
5.8%
r 71
 
4.3%
g 69
 
4.1%
Other values (20) 467
28.0%

팩스번호
Text

Distinct41
Distinct (%)59.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-05-04T04:27:42.549970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.15942
Min length11

Characters and Unicode

Total characters770
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

Unique33 ?
Unique (%)47.8%

Sample

1st row02-300-8699
2nd row02-726-1799
3rd row02-3217-0573
4th row02-364-6926
5th row02-393-5129
ValueCountFrequency (%)
02-364-6926 6
 
8.7%
02-6917-0099 5
 
7.2%
02-393-5129 5
 
7.2%
02-313-5602 4
 
5.8%
02-2123-8144 4
 
5.8%
02-307-6605 4
 
5.8%
02-360-3737 4
 
5.8%
02-309-7289 4
 
5.8%
02-364-7340 1
 
1.4%
02-394-5026 1
 
1.4%
Other values (31) 31
44.9%
2024-05-04T04:27:43.496503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 138
17.9%
0 123
16.0%
2 118
15.3%
3 96
12.5%
6 68
8.8%
9 65
8.4%
7 42
 
5.5%
1 39
 
5.1%
4 33
 
4.3%
5 32
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 632
82.1%
Dash Punctuation 138
 
17.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 123
19.5%
2 118
18.7%
3 96
15.2%
6 68
10.8%
9 65
10.3%
7 42
 
6.6%
1 39
 
6.2%
4 33
 
5.2%
5 32
 
5.1%
8 16
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 138
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 770
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 138
17.9%
0 123
16.0%
2 118
15.3%
3 96
12.5%
6 68
8.8%
9 65
8.4%
7 42
 
5.5%
1 39
 
5.1%
4 33
 
4.3%
5 32
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 770
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 138
17.9%
0 123
16.0%
2 118
15.3%
3 96
12.5%
6 68
8.8%
9 65
8.4%
7 42
 
5.5%
1 39
 
5.1%
4 33
 
4.3%
5 32
 
4.2%

남녀공학구분명
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
남여공학
49 
남
13 
여
7 

Length

Max length4
Median length4
Mean length3.1304348
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남여공학 49
71.0%
남 13
 
18.8%
여 7
 
10.1%

Length

2024-05-04T04:27:43.911805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:27:44.232482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남여공학 49
71.0%
남 13
 
18.8%
여 7
 
10.1%

고등학교구분명
Categorical

Distinct4
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size684.0 B
<NA>
39 
일반고
21 
특목고
5 
자율고
4 

Length

Max length4
Median length4
Mean length3.5652174
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 (%)
<NA> 39
56.5%
일반고 21
30.4%
특목고 5
 
7.2%
자율고 4
 
5.8%

Length

2024-05-04T04:27:44.605337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:27:45.079955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
56.5%
일반고 21
30.4%
특목고 5
 
7.2%
자율고 4
 
5.8%

산업체특별학급존재여부
Boolean

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size201.0 B
False
69 
ValueCountFrequency (%)
False 69
100.0%
2024-05-04T04:27:45.456381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

고등학교일반실업구분명
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
일반계
60 
해당없음
9 

Length

Max length4
Median length3
Mean length3.1304348
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row해당없음
2nd row해당없음
3rd row일반계
4th row일반계
5th row일반계

Common Values

ValueCountFrequency (%)
일반계 60
87.0%
해당없음 9
 
13.0%

Length

2024-05-04T04:27:45.784780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:27:46.090119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반계 60
87.0%
해당없음 9
 
13.0%

특수목적고등학교계열명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
<NA>
64 
과학계열
 
5

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> 64
92.8%
과학계열 5
 
7.2%

Length

2024-05-04T04:27:46.452986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:27:46.781623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 64
92.8%
과학계열 5
 
7.2%

입시전후기구분명
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
전기
46 
후기
23 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전기 46
66.7%
후기 23
33.3%

Length

2024-05-04T04:27:47.191954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:27:47.553654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전기 46
66.7%
후기 23
33.3%

주야구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
주간
69 

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 69
100.0%

Length

2024-05-04T04:27:47.885491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:27:48.227900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주간 69
100.0%

설립일자
Real number (ℝ)

Distinct38
Distinct (%)55.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19611941
Minimum18960501
Maximum20160301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-05-04T04:27:48.565806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18960501
5-th percentile19256564
Q119411101
median19580215
Q319740306
95-th percentile20130301
Maximum20160301
Range1199800
Interquartile range (IQR)329205

Descriptive statistics

Standard deviation266916.43
Coefficient of variation (CV)0.013609894
Kurtosis-0.15051569
Mean19611941
Median Absolute Deviation (MAD)169114
Skewness0.27969672
Sum1.3532239 × 109
Variance7.1244383 × 1010
MonotonicityNot monotonic
2024-05-04T04:27:49.010720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
19280925 6
 
8.7%
19920301 5
 
7.2%
19401010 5
 
7.2%
20130301 5
 
7.2%
19480412 5
 
7.2%
19531010 4
 
5.8%
19580215 4
 
5.8%
19640228 4
 
5.8%
19841208 2
 
2.9%
20160301 1
 
1.4%
Other values (28) 28
40.6%
ValueCountFrequency (%)
18960501 1
 
1.4%
19120501 1
 
1.4%
19210603 1
 
1.4%
19240324 1
 
1.4%
19280925 6
8.7%
19360619 1
 
1.4%
19370521 1
 
1.4%
19401010 5
7.2%
19411101 1
 
1.4%
19450901 1
 
1.4%
ValueCountFrequency (%)
20160301 1
 
1.4%
20130301 5
7.2%
20100301 1
 
1.4%
19920301 5
7.2%
19861215 1
 
1.4%
19841208 2
 
2.9%
19840109 1
 
1.4%
19750703 1
 
1.4%
19740306 1
 
1.4%
19721130 1
 
1.4%

개교기념일
Real number (ℝ)

Distinct38
Distinct (%)55.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19614153
Minimum18960501
Maximum20160501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-05-04T04:27:49.452328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18960501
5-th percentile19256611
Q119411101
median19580401
Q319740306
95-th percentile20130501
Maximum20160501
Range1200000
Interquartile range (IQR)329205

Descriptive statistics

Standard deviation266841.92
Coefficient of variation (CV)0.01360456
Kurtosis-0.152237
Mean19614153
Median Absolute Deviation (MAD)169300
Skewness0.26485902
Sum1.3533765 × 109
Variance7.1204608 × 1010
MonotonicityNot monotonic
2024-05-04T04:27:49.953655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
19280925 6
 
8.7%
19920925 5
 
7.2%
19401010 5
 
7.2%
19531010 5
 
7.2%
19480412 5
 
7.2%
20130501 4
 
5.8%
19580401 4
 
5.8%
19640228 4
 
5.8%
19550408 2
 
2.9%
19711203 1
 
1.4%
Other values (28) 28
40.6%
ValueCountFrequency (%)
18960501 1
 
1.4%
19120501 1
 
1.4%
19210603 1
 
1.4%
19240401 1
 
1.4%
19280925 6
8.7%
19370521 1
 
1.4%
19371130 1
 
1.4%
19401010 5
7.2%
19411101 1
 
1.4%
19480412 5
7.2%
ValueCountFrequency (%)
20160501 1
 
1.4%
20130521 1
 
1.4%
20130501 4
5.8%
20100301 1
 
1.4%
19920925 5
7.2%
19870420 1
 
1.4%
19850514 1
 
1.4%
19850506 1
 
1.4%
19840518 1
 
1.4%
19750703 1
 
1.4%

시도교육청코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
B10
69 

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 69
100.0%

Length

2024-05-04T04:27:50.748220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:27:51.086094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
b10 69
100.0%

시도교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
서울특별시교육청
69 

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 69
100.0%

Length

2024-05-04T04:27:51.461729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:27:51.903608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 69
100.0%

소재지명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
서울특별시
69 

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 69
100.0%

Length

2024-05-04T04:27:52.242671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:27:52.636613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 69
100.0%

주야과정
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
<NA>
35 
주간
34 

Length

Max length4
Median length4
Mean length3.0144928
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 (%)
<NA> 35
50.7%
주간 34
49.3%

Length

2024-05-04T04:27:53.271558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:27:53.814368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
50.7%
주간 34
49.3%

계열명
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
<NA>
35 
일반계
29 
과학계
5 

Length

Max length4
Median length4
Mean length3.5072464
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 (%)
<NA> 35
50.7%
일반계 29
42.0%
과학계 5
 
7.2%

Length

2024-05-04T04:27:54.173748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:27:54.492929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
50.7%
일반계 29
42.0%
과학계 5
 
7.2%

학과명
Categorical

Distinct8
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size684.0 B
<NA>
35 
공통과정
8 
자연과정
8 
인문사회과정
8 
일반학과
7 
Other values (3)
 
3

Length

Max length6
Median length4
Mean length4.2028986
Min length3

Unique

Unique3 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 35
50.7%
공통과정 8
 
11.6%
자연과정 8
 
11.6%
인문사회과정 8
 
11.6%
일반학과 7
 
10.1%
직업과정 1
 
1.4%
과학과 1
 
1.4%
상업과 1
 
1.4%

Length

2024-05-04T04:27:55.168799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:27:55.637235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
50.7%
공통과정 8
 
11.6%
자연과정 8
 
11.6%
인문사회과정 8
 
11.6%
일반학과 7
 
10.1%
직업과정 1
 
1.4%
과학과 1
 
1.4%
상업과 1
 
1.4%

적재일시
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
20230615
64 
20230627
 
4
20240324
 
1

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
20230615 64
92.8%
20230627 4
 
5.8%
20240324 1
 
1.4%

Length

2024-05-04T04:27:56.174472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:27:56.585938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20230615 64
92.8%
20230627 4
 
5.8%
20240324 1
 
1.4%

Sample

학교종류명설립구분표준학교코드학교명영문학교명관할조직명도로명우편번호도로명주소도로명상세주소전화번호홈페이지주소팩스번호남녀공학구분명고등학교구분명산업체특별학급존재여부고등학교일반실업구분명특수목적고등학교계열명입시전후기구분명주야구분명설립일자개교기념일시도교육청코드시도교육청명소재지명주야과정계열명학과명적재일시
0초등학교공립7031278서울가재울초등학교Seoul Gajaeul Elementary School서울특별시서부교육지원청3711서울특별시 서대문구 모래내로15길 61(남가좌동)02-300-8600http://www.gajaeul.es.kr02-300-8699남여공학<NA>N해당없음<NA>후기주간2016030120160501B10서울특별시교육청서울특별시<NA><NA><NA>20230615
1중학교공립7031261가재울중학교Gajaeul Middle School서울특별시서부교육지원청3790서울특별시 서대문구 수색로 100-75(북가좌동/ 가재울중학교)02-726-1700http://gajaeul.sen.ms.kr02-726-1799남여공학<NA>N해당없음<NA>후기주간2013030120130521B10서울특별시교육청서울특별시<NA><NA><NA>20230615
2중학교공립7031222홍은중학교Hong-eun Middle School서울특별시서부교육지원청3648서울특별시 서대문구 연희로41길 94(홍은동)02-3216-0512http://www.hongeun.ms.kr02-3217-0573남여공학<NA>N일반계<NA>전기주간1984010919840518B10서울특별시교육청서울특별시<NA><NA><NA>20230615
3중학교사립7031221한성중학교Hanseong Middle School서울특별시서부교육지원청3771서울특별시 서대문구 북아현로1길 24(북아현동/한성중학교)02-365-4942http://www.hanseong.ms.kr02-364-6926남<NA>N일반계<NA>전기주간1928092519280925B10서울특별시교육청서울특별시<NA><NA><NA>20230615
4중학교사립7031216중앙여자중학교Jungang Girls’ Middle School서울특별시서부교육지원청3762서울특별시 서대문구 북아현로11가길 7(북아현동/ 중앙여자중학교)02-362-3063http://jungang1940.ms.kr02-393-5129여<NA>N일반계<NA>전기주간1940101019401010B10서울특별시교육청서울특별시<NA><NA><NA>20230615
5중학교사립7031214정원여자중학교Jungwon Girls’ Middle School서울특별시서부교육지원청3652서울특별시 서대문구 연희로37안길 51/ 정원여자중학교 (홍은동)02-394-6301https://jungwon.sen.ms.kr/02-391-6306여<NA>N일반계<NA>전기주간1969011519690408B10서울특별시교육청서울특별시<NA><NA><NA>20230615
6중학교사립7031213인창중학교Inchang Middle School서울특별시서부교육지원청3746서울특별시 서대문구 경기대로 65(충정로2가/인창중학교)02-300-4567http://ic.ms.kr/02-300-4501남<NA>N일반계<NA>전기주간1945090119531010B10서울특별시교육청서울특별시<NA><NA><NA>20230615
7중학교공립7031212인왕중학교Inwang Middle School서울특별시서부교육지원청3620서울특별시 서대문구 세검정로4길/ 69 (홍제동)02-396-5406http://www.inwang.ms.kr02-396-5416남여공학<NA>N해당없음<NA>전기주간2010030120100301B10서울특별시교육청서울특별시<NA><NA><NA>20230615
8중학교사립7031211이화여자대학교사범대학부속이화·금란중학교Ewha Womans University Middle School서울특별시서부교육지원청3765서울특별시 서대문구 성산로 520(대신동)02-392-6175ewha.sen.ms.kr02-392-7336남여공학<NA>N일반계<NA>전기주간1955022819550408B10서울특별시교육청서울특별시<NA><NA><NA>20230615
9중학교공립7031207연희중학교Yeonhui Middle School서울특별시서부교육지원청3670서울특별시 서대문구 증가로 170(남가좌동)02-372-2992https://yonhi.sen.ms.kr02-302-6127남여공학<NA>N일반계<NA>전기주간1971122919720506B10서울특별시교육청서울특별시<NA><NA><NA>20230615
학교종류명설립구분표준학교코드학교명영문학교명관할조직명도로명우편번호도로명주소도로명상세주소전화번호홈페이지주소팩스번호남녀공학구분명고등학교구분명산업체특별학급존재여부고등학교일반실업구분명특수목적고등학교계열명입시전후기구분명주야구분명설립일자개교기념일시도교육청코드시도교육청명소재지명주야과정계열명학과명적재일시
59고등학교사립7010231인창고등학교Inchang High School서울특별시교육청3746서울특별시 서대문구 경기대로 65/ 인창고등학교 (충정로2가)02-360-3700http://www.inchang.ne.kr02-360-3737남일반고N일반계<NA>후기주간1953101019531010B10서울특별시교육청서울특별시주간일반계인문사회과정20230615
60고등학교사립7010163명지고등학교Myongji High School서울특별시교육청3656서울특별시 서대문구 명지2길 56/ 명지고등학교 (홍은동)02-303-1540http://www.myongjigo.net/02-309-7289남여공학일반고N일반계<NA>후기주간1948041219480412B10서울특별시교육청서울특별시주간일반계자연과정20230615
61고등학교사립7010163명지고등학교Myongji High School서울특별시교육청3656서울특별시 서대문구 명지2길 56/ 명지고등학교 (홍은동)02-303-1540http://www.myongjigo.net/02-309-7289남여공학일반고N일반계<NA>후기주간1948041219480412B10서울특별시교육청서울특별시주간일반계일반학과20230615
62고등학교사립7010163명지고등학교Myongji High School서울특별시교육청3656서울특별시 서대문구 명지2길 56/ 명지고등학교 (홍은동)02-303-1540http://www.myongjigo.net/02-309-7289남여공학일반고N일반계<NA>후기주간1948041219480412B10서울특별시교육청서울특별시주간일반계인문사회과정20230615
63고등학교사립7010163명지고등학교Myongji High School서울특별시교육청3656서울특별시 서대문구 명지2길 56/ 명지고등학교 (홍은동)02-303-1540http://www.myongjigo.net/02-309-7289남여공학일반고N일반계<NA>후기주간1948041219480412B10서울특별시교육청서울특별시주간일반계공통과정20230615
64고등학교공립7010115한성과학고등학교Hansung Science High School서울특별시교육청3732서울특별시 서대문구 통일로 279-79/ 한성과학고등학교 (현저동)02-6917-0000https://hansungsh.sen.hs.kr02-6917-0099남여공학특목고N일반계과학계열전기주간1992030119920925B10서울특별시교육청서울특별시주간과학계자연과정20230615
65고등학교공립7010115한성과학고등학교Hansung Science High School서울특별시교육청3732서울특별시 서대문구 통일로 279-79/ 한성과학고등학교 (현저동)02-6917-0000https://hansungsh.sen.hs.kr02-6917-0099남여공학특목고N일반계과학계열전기주간1992030119920925B10서울특별시교육청서울특별시주간과학계공통과정20230615
66고등학교공립7010115한성과학고등학교Hansung Science High School서울특별시교육청3732서울특별시 서대문구 통일로 279-79/ 한성과학고등학교 (현저동)02-6917-0000https://hansungsh.sen.hs.kr02-6917-0099남여공학특목고N일반계과학계열전기주간1992030119920925B10서울특별시교육청서울특별시주간과학계과학과20230615
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68고등학교공립7010115한성과학고등학교Hansung Science High School서울특별시교육청3732서울특별시 서대문구 통일로 279-79/ 한성과학고등학교 (현저동)02-6917-0000https://hansungsh.sen.hs.kr02-6917-0099남여공학특목고N일반계과학계열전기주간1992030119920925B10서울특별시교육청서울특별시주간과학계인문사회과정20230615