Overview

Dataset statistics

Number of variables28
Number of observations171
Missing cells48
Missing cells (%)1.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory38.4 KiB
Average record size in memory229.8 B

Variable types

Categorical15
Numeric4
Text8
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
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-20510/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
적재일시 is highly imbalanced (54.1%)Imbalance
학과명 has 48 (28.1%) missing valuesMissing

Reproduction

Analysis started2024-05-03 23:02:51.404215
Analysis finished2024-05-03 23:02:52.545423
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학교종류명
Categorical

Distinct5
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
고등학교
120 
초등학교
29 
중학교
18 
방송통신고등학교
 
3
특수학교
 
1

Length

Max length8
Median length4
Mean length3.9649123
Min length3

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
고등학교 120
70.2%
초등학교 29
 
17.0%
중학교 18
 
10.5%
방송통신고등학교 3
 
1.8%
특수학교 1
 
0.6%

Length

2024-05-03T23:02:52.780466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:02:53.176644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고등학교 120
70.2%
초등학교 29
 
17.0%
중학교 18
 
10.5%
방송통신고등학교 3
 
1.8%
특수학교 1
 
0.6%

설립구분
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
사립
96 
공립
70 
국립
 
5

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 96
56.1%
공립 70
40.9%
국립 5
 
2.9%

Length

2024-05-03T23:02:53.706659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:02:54.027501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 96
56.1%
공립 70
40.9%
국립 5
 
2.9%

표준학교코드
Real number (ℝ)

Distinct62
Distinct (%)36.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7041309.8
Minimum7010061
Maximum7121371
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-03T23:02:54.401631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7010061
5-th percentile7010116.5
Q17010797
median7011487
Q37121301.5
95-th percentile7121357.5
Maximum7121371
Range111310
Interquartile range (IQR)110504.5

Descriptive statistics

Standard deviation49414.601
Coefficient of variation (CV)0.0070178139
Kurtosis-0.97627175
Mean7041309.8
Median Absolute Deviation (MAD)1101
Skewness1.0172392
Sum1.204064 × 109
Variance2.4418028 × 109
MonotonicityDecreasing
2024-05-03T23:02:54.905230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7011539 30
17.5%
7011180 24
 
14.0%
7011487 17
 
9.9%
7010145 12
 
7.0%
7010088 5
 
2.9%
7010263 4
 
2.3%
7011312 4
 
2.3%
7010797 4
 
2.3%
7011109 4
 
2.3%
7010255 4
 
2.3%
Other values (52) 63
36.8%
ValueCountFrequency (%)
7010061 4
 
2.3%
7010088 5
2.9%
7010145 12
7.0%
7010195 4
 
2.3%
7010221 4
 
2.3%
7010255 4
 
2.3%
7010263 4
 
2.3%
7010386 3
 
1.8%
7010797 4
 
2.3%
7011109 4
 
2.3%
ValueCountFrequency (%)
7121371 1
0.6%
7121370 1
0.6%
7121368 1
0.6%
7121367 1
0.6%
7121363 1
0.6%
7121361 1
0.6%
7121360 1
0.6%
7121359 1
0.6%
7121358 1
0.6%
7121357 1
0.6%

학교명
Text

Distinct62
Distinct (%)36.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-05-03T23:02:55.480835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length8.877193
Min length5

Characters and Unicode

Total characters1518
Distinct characters77
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

Unique48 ?
Unique (%)28.1%

Sample

1st row서울대학교사범대학부설중학교
2nd row숭곡중학교
3rd row홍익대학교사범대학부속중학교
4th row한성여자중학교
5th row성신여자중학교
ValueCountFrequency (%)
서울동구고등학교 30
17.5%
서울도시과학기술고등학교 24
 
14.0%
고명외식고등학교 17
 
9.9%
대일외국어고등학교 12
 
7.0%
석관고등학교 5
 
2.9%
경동고등학교 4
 
2.3%
계성고등학교 4
 
2.3%
서울대학교사범대학부설고등학교 4
 
2.3%
고려대학교사범대학부속고등학교 4
 
2.3%
홍익대학교사범대학부속고등학교 4
 
2.3%
Other values (52) 63
36.8%
2024-05-03T23:02:56.468103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 228
15.0%
교 189
 
12.5%
등 155
 
10.2%
고 149
 
9.8%
서 84
 
5.5%
울 84
 
5.5%
대 44
 
2.9%
동 39
 
2.6%
구 31
 
2.0%
초 29
 
1.9%
Other values (67) 486
32.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1518
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 228
15.0%
교 189
 
12.5%
등 155
 
10.2%
고 149
 
9.8%
서 84
 
5.5%
울 84
 
5.5%
대 44
 
2.9%
동 39
 
2.6%
구 31
 
2.0%
초 29
 
1.9%
Other values (67) 486
32.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1518
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 228
15.0%
교 189
 
12.5%
등 155
 
10.2%
고 149
 
9.8%
서 84
 
5.5%
울 84
 
5.5%
대 44
 
2.9%
동 39
 
2.6%
구 31
 
2.0%
초 29
 
1.9%
Other values (67) 486
32.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1518
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 228
15.0%
교 189
 
12.5%
등 155
 
10.2%
고 149
 
9.8%
서 84
 
5.5%
울 84
 
5.5%
대 44
 
2.9%
동 39
 
2.6%
구 31
 
2.0%
초 29
 
1.9%
Other values (67) 486
32.0%

영문학교명
Text

Distinct62
Distinct (%)36.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-05-03T23:02:56.994865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length37
Mean length30.093567
Min length18

Characters and Unicode

Total characters5146
Distinct characters44
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)28.1%

Sample

1st rowSeoul National University Middle School
2nd rowSoonggok Middle School
3rd rowHONGIK University Middle School
4th rowHansung Girls’ Middle School
5th rowSungshin Girls’ Middle School
ValueCountFrequency (%)
school 174
23.2%
high 126
16.8%
seoul 84
11.2%
donggoo 30
 
4.0%
elementary 29
 
3.9%
urban 24
 
3.2%
science 24
 
3.2%
technical 24
 
3.2%
middle 18
 
2.4%
komyung 18
 
2.4%
Other values (54) 198
26.4%
2024-05-03T23:02:57.728659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
578
 
11.2%
o 482
 
9.4%
e 333
 
6.5%
S 321
 
6.2%
l 297
 
5.8%
h 266
 
5.2%
i 262
 
5.1%
c 260
 
5.1%
n 260
 
5.1%
g 210
 
4.1%
Other values (34) 1877
36.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3171
61.6%
Uppercase Letter 1383
26.9%
Space Separator 578
 
11.2%
Final Punctuation 11
 
0.2%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 482
15.2%
e 333
10.5%
l 297
9.4%
h 266
8.4%
i 262
8.3%
c 260
8.2%
n 260
8.2%
g 210
6.6%
a 161
 
5.1%
r 125
 
3.9%
Other values (11) 515
16.2%
Uppercase Letter
ValueCountFrequency (%)
S 321
23.2%
H 206
14.9%
O 200
14.5%
G 125
 
9.0%
L 77
 
5.6%
U 70
 
5.1%
E 64
 
4.6%
D 47
 
3.4%
N 46
 
3.3%
I 41
 
3.0%
Other values (10) 186
13.4%
Space Separator
ValueCountFrequency (%)
578
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4554
88.5%
Common 592
 
11.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 482
 
10.6%
e 333
 
7.3%
S 321
 
7.0%
l 297
 
6.5%
h 266
 
5.8%
i 262
 
5.8%
c 260
 
5.7%
n 260
 
5.7%
g 210
 
4.6%
H 206
 
4.5%
Other values (31) 1657
36.4%
Common
ValueCountFrequency (%)
578
97.6%
’ 11
 
1.9%
- 3
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5135
99.8%
Punctuation 11
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
578
 
11.3%
o 482
 
9.4%
e 333
 
6.5%
S 321
 
6.3%
l 297
 
5.8%
h 266
 
5.2%
i 262
 
5.1%
c 260
 
5.1%
n 260
 
5.1%
g 210
 
4.1%
Other values (33) 1866
36.3%
Punctuation
ValueCountFrequency (%)
’ 11
100.0%

관할조직명
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
서울특별시교육청
120 
서울특별시성북강북교육지원청
46 
교육부
 
5

Length

Max length14
Median length8
Mean length9.4678363
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row교육부
2nd row서울특별시성북강북교육지원청
3rd row서울특별시성북강북교육지원청
4th row서울특별시성북강북교육지원청
5th row서울특별시성북강북교육지원청

Common Values

ValueCountFrequency (%)
서울특별시교육청 120
70.2%
서울특별시성북강북교육지원청 46
 
26.9%
교육부 5
 
2.9%

Length

2024-05-03T23:02:58.041225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:02:58.371126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 120
70.2%
서울특별시성북강북교육지원청 46
 
26.9%
교육부 5
 
2.9%

도로명우편번호
Real number (ℝ)

Distinct46
Distinct (%)26.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2794.0936
Minimum2701
Maximum2879
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-03T23:02:58.662115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2701
5-th percentile2713
Q12736
median2828
Q32834
95-th percentile2870
Maximum2879
Range178
Interquartile range (IQR)98

Descriptive statistics

Standard deviation54.028451
Coefficient of variation (CV)0.019336665
Kurtosis-1.405984
Mean2794.0936
Median Absolute Deviation (MAD)35
Skewness-0.30892104
Sum477790
Variance2919.0735
MonotonicityNot monotonic
2024-05-03T23:02:58.929926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
2834 31
18.1%
2736 26
15.2%
2828 19
 
11.1%
2713 12
 
7.0%
2870 7
 
4.1%
2782 6
 
3.5%
2840 6
 
3.5%
2843 5
 
2.9%
2796 5
 
2.9%
2876 5
 
2.9%
Other values (36) 49
28.7%
ValueCountFrequency (%)
2701 1
 
0.6%
2706 1
 
0.6%
2708 5
 
2.9%
2713 12
7.0%
2715 1
 
0.6%
2718 1
 
0.6%
2720 4
 
2.3%
2723 2
 
1.2%
2724 1
 
0.6%
2736 26
15.2%
ValueCountFrequency (%)
2879 1
 
0.6%
2876 5
2.9%
2874 1
 
0.6%
2870 7
4.1%
2863 1
 
0.6%
2859 1
 
0.6%
2850 1
 
0.6%
2843 5
2.9%
2840 6
3.5%
2837 1
 
0.6%

도로명주소
Text

Distinct54
Distinct (%)31.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-05-03T23:02:59.433349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length18.111111
Min length15

Characters and Unicode

Total characters3097
Distinct characters61
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

Unique40 ?
Unique (%)23.4%

Sample

1st row서울특별시 성북구 월곡로 36
2nd row서울특별시 성북구 종암로 208
3rd row서울특별시 성북구 성북로14가길 23
4th row서울특별시 성북구 삼선교로16길 118
5th row서울특별시 성북구 북악산로 918
ValueCountFrequency (%)
서울특별시 171
25.0%
성북구 171
25.0%
성북로8길 31
 
4.5%
71 31
 
4.5%
종암로 25
 
3.7%
196 24
 
3.5%
북악산로 22
 
3.2%
870 19
 
2.8%
서경로 12
 
1.8%
116 12
 
1.8%
Other values (83) 166
24.3%
2024-05-03T23:03:00.342814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
513
16.6%
북 232
 
7.5%
성 210
 
6.8%
서 183
 
5.9%
특 171
 
5.5%
별 171
 
5.5%
시 171
 
5.5%
구 171
 
5.5%
울 171
 
5.5%
로 170
 
5.5%
Other values (51) 934
30.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2027
65.5%
Decimal Number 552
 
17.8%
Space Separator 513
 
16.6%
Dash Punctuation 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 232
11.4%
성 210
10.4%
서 183
9.0%
특 171
8.4%
별 171
8.4%
시 171
8.4%
구 171
8.4%
울 171
8.4%
로 170
8.4%
길 93
 
4.6%
Other values (39) 284
14.0%
Decimal Number
ValueCountFrequency (%)
1 138
25.0%
6 76
13.8%
7 73
13.2%
8 65
11.8%
9 47
 
8.5%
0 45
 
8.2%
2 33
 
6.0%
4 31
 
5.6%
3 28
 
5.1%
5 16
 
2.9%
Space Separator
ValueCountFrequency (%)
513
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2027
65.5%
Common 1070
34.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 232
11.4%
성 210
10.4%
서 183
9.0%
특 171
8.4%
별 171
8.4%
시 171
8.4%
구 171
8.4%
울 171
8.4%
로 170
8.4%
길 93
 
4.6%
Other values (39) 284
14.0%
Common
ValueCountFrequency (%)
513
47.9%
1 138
 
12.9%
6 76
 
7.1%
7 73
 
6.8%
8 65
 
6.1%
9 47
 
4.4%
0 45
 
4.2%
2 33
 
3.1%
4 31
 
2.9%
3 28
 
2.6%
Other values (2) 21
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2027
65.5%
ASCII 1070
34.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
513
47.9%
1 138
 
12.9%
6 76
 
7.1%
7 73
 
6.8%
8 65
 
6.1%
9 47
 
4.4%
0 45
 
4.2%
2 33
 
3.1%
4 31
 
2.9%
3 28
 
2.6%
Other values (2) 21
 
2.0%
Hangul
ValueCountFrequency (%)
북 232
11.4%
성 210
10.4%
서 183
9.0%
특 171
8.4%
별 171
8.4%
시 171
8.4%
구 171
8.4%
울 171
8.4%
로 170
8.4%
길 93
 
4.6%
Other values (39) 284
14.0%

도로명상세주소
Text

Distinct57
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-05-03T23:03:00.725141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length23
Mean length14.54386
Min length5

Characters and Unicode

Total characters2487
Distinct characters88
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

Unique45 ?
Unique (%)26.3%

Sample

1st row(종암동)
2nd row/ 숭곡중학교 (하월곡동)
3rd row/ 홍익대학교사범대학부속중학교 (성북동/홍익대학교부속중고등학교)
4th row(삼선동2가/한성여자중학교)
5th row(돈암동/성신여자중학교)
ValueCountFrequency (%)
54
18.2%
성북동 31
 
10.5%
동구마케팅고등학교 30
 
10.1%
하월곡동/서울도시과학기술고등학교 24
 
8.1%
돈암동 22
 
7.4%
정릉동/대일외국어고등학교 12
 
4.1%
삼선동3가 7
 
2.4%
경동고등학교 7
 
2.4%
길음동 7
 
2.4%
석관동 6
 
2.0%
Other values (57) 96
32.4%
2024-05-03T23:03:01.552621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 213
 
8.6%
학 187
 
7.5%
) 171
 
6.9%
( 171
 
6.9%
교 157
 
6.3%
/ 146
 
5.9%
등 129
 
5.2%
125
 
5.0%
고 106
 
4.3%
성 50
 
2.0%
Other values (78) 1032
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1850
74.4%
Close Punctuation 171
 
6.9%
Open Punctuation 171
 
6.9%
Other Punctuation 146
 
5.9%
Space Separator 125
 
5.0%
Decimal Number 24
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 213
 
11.5%
학 187
 
10.1%
교 157
 
8.5%
등 129
 
7.0%
고 106
 
5.7%
성 50
 
2.7%
서 49
 
2.6%
울 49
 
2.6%
암 45
 
2.4%
북 40
 
2.2%
Other values (69) 825
44.6%
Decimal Number
ValueCountFrequency (%)
2 11
45.8%
3 9
37.5%
7 2
 
8.3%
6 1
 
4.2%
4 1
 
4.2%
Close Punctuation
ValueCountFrequency (%)
) 171
100.0%
Open Punctuation
ValueCountFrequency (%)
( 171
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 146
100.0%
Space Separator
ValueCountFrequency (%)
125
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1850
74.4%
Common 637
 
25.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 213
 
11.5%
학 187
 
10.1%
교 157
 
8.5%
등 129
 
7.0%
고 106
 
5.7%
성 50
 
2.7%
서 49
 
2.6%
울 49
 
2.6%
암 45
 
2.4%
북 40
 
2.2%
Other values (69) 825
44.6%
Common
ValueCountFrequency (%)
) 171
26.8%
( 171
26.8%
/ 146
22.9%
125
19.6%
2 11
 
1.7%
3 9
 
1.4%
7 2
 
0.3%
6 1
 
0.2%
4 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1850
74.4%
ASCII 637
 
25.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 213
 
11.5%
학 187
 
10.1%
교 157
 
8.5%
등 129
 
7.0%
고 106
 
5.7%
성 50
 
2.7%
서 49
 
2.6%
울 49
 
2.6%
암 45
 
2.4%
북 40
 
2.2%
Other values (69) 825
44.6%
ASCII
ValueCountFrequency (%)
) 171
26.8%
( 171
26.8%
/ 146
22.9%
125
19.6%
2 11
 
1.7%
3 9
 
1.4%
7 2
 
0.3%
6 1
 
0.2%
4 1
 
0.2%

전화번호
Text

Distinct62
Distinct (%)36.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-05-03T23:03:02.027035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.040936
Min length11

Characters and Unicode

Total characters1888
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

Unique48 ?
Unique (%)28.1%

Sample

1st row02-943-5812
2nd row02-912-7572
3rd row02-762-0824
4th row02-742-2542
5th row02-929-1898
ValueCountFrequency (%)
02-762-1301 30
17.5%
02-940-2500 24
 
14.0%
02-928-8366 17
 
9.9%
02-940-1000 12
 
7.0%
02-958-1000 5
 
2.9%
02-928-2353 4
 
2.3%
02-728-6100 4
 
2.3%
02-913-7305 4
 
2.3%
02-914-7483 4
 
2.3%
02-762-0826 4
 
2.3%
Other values (52) 63
36.8%
2024-05-03T23:03:02.682528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 388
20.6%
- 342
18.1%
2 335
17.7%
1 145
 
7.7%
9 143
 
7.6%
6 106
 
5.6%
8 102
 
5.4%
3 94
 
5.0%
7 91
 
4.8%
4 85
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1546
81.9%
Dash Punctuation 342
 
18.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 388
25.1%
2 335
21.7%
1 145
 
9.4%
9 143
 
9.2%
6 106
 
6.9%
8 102
 
6.6%
3 94
 
6.1%
7 91
 
5.9%
4 85
 
5.5%
5 57
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 342
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1888
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 388
20.6%
- 342
18.1%
2 335
17.7%
1 145
 
7.7%
9 143
 
7.6%
6 106
 
5.6%
8 102
 
5.4%
3 94
 
5.0%
7 91
 
4.8%
4 85
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1888
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 388
20.6%
- 342
18.1%
2 335
17.7%
1 145
 
7.7%
9 143
 
7.6%
6 106
 
5.6%
8 102
 
5.4%
3 94
 
5.0%
7 91
 
4.8%
4 85
 
4.5%

홈페이지주소
Text

Distinct62
Distinct (%)36.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-05-03T23:03:03.191407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length21.292398
Min length13

Characters and Unicode

Total characters3641
Distinct characters25
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)28.1%

Sample

1st rowhttp://snums.sen.ms.kr
2nd rowhttp://www.soonggok.ms.kr
3rd rowhttp://hongik.sen.ms.kr
4th rowhttp://hansung.sen.ms.kr
5th rowhttp://www.sung-shin.ms.kr
ValueCountFrequency (%)
donggoo.sen.hs.kr 30
17.5%
http://www.sust.hs.kr 24
 
14.0%
http://komyung.sen.hs.kr 17
 
9.9%
www.daeil.or.kr 12
 
7.0%
http://www.seokgwan.hs.kr 5
 
2.9%
www.kyungdong.hs.kr 4
 
2.3%
gyeseong.sen.hs.kr 4
 
2.3%
https://snu.sen.hs.kr 4
 
2.3%
https://koreahi.sen.hs.kr 4
 
2.3%
hongik.sen.hs.kr 4
 
2.3%
Other values (52) 63
36.8%
2024-05-03T23:03:04.152937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 516
14.2%
s 349
 
9.6%
w 278
 
7.6%
t 252
 
6.9%
h 249
 
6.8%
/ 240
 
6.6%
n 232
 
6.4%
k 224
 
6.2%
o 196
 
5.4%
r 195
 
5.4%
Other values (15) 910
25.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2765
75.9%
Other Punctuation 870
 
23.9%
Dash Punctuation 6
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 349
12.6%
w 278
10.1%
t 252
9.1%
h 249
9.0%
n 232
8.4%
k 224
8.1%
o 196
7.1%
r 195
7.1%
g 162
 
5.9%
e 162
 
5.9%
Other values (11) 466
16.9%
Other Punctuation
ValueCountFrequency (%)
. 516
59.3%
/ 240
27.6%
: 114
 
13.1%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2765
75.9%
Common 876
 
24.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 349
12.6%
w 278
10.1%
t 252
9.1%
h 249
9.0%
n 232
8.4%
k 224
8.1%
o 196
7.1%
r 195
7.1%
g 162
 
5.9%
e 162
 
5.9%
Other values (11) 466
16.9%
Common
ValueCountFrequency (%)
. 516
58.9%
/ 240
27.4%
: 114
 
13.0%
- 6
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3641
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 516
14.2%
s 349
 
9.6%
w 278
 
7.6%
t 252
 
6.9%
h 249
 
6.8%
/ 240
 
6.6%
n 232
 
6.4%
k 224
 
6.2%
o 196
 
5.4%
r 195
 
5.4%
Other values (15) 910
25.0%

팩스번호
Text

Distinct61
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-05-03T23:03:04.546143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.017544
Min length11

Characters and Unicode

Total characters1884
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

Unique48 ?
Unique (%)28.1%

Sample

1st row02-909-1671
2nd row02-912-7573
3rd row02-765-4520
4th row02-745-8858
5th row02-929-1890
ValueCountFrequency (%)
02-747-6525 30
17.5%
02-940-2508 24
 
14.0%
02-924-6059 17
 
9.9%
02-940-0605 12
 
7.0%
02-926-7525 7
 
4.1%
02-962-5364 5
 
2.9%
02-927-0860 4
 
2.3%
02-765-4549 4
 
2.3%
02-942-0732 4
 
2.3%
02-743-8182 4
 
2.3%
Other values (51) 60
35.1%
2024-05-03T23:03:05.304523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 342
18.2%
2 328
17.4%
0 318
16.9%
5 185
9.8%
9 169
9.0%
4 143
7.6%
7 126
 
6.7%
6 123
 
6.5%
8 67
 
3.6%
1 49
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1542
81.8%
Dash Punctuation 342
 
18.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 328
21.3%
0 318
20.6%
5 185
12.0%
9 169
11.0%
4 143
9.3%
7 126
 
8.2%
6 123
 
8.0%
8 67
 
4.3%
1 49
 
3.2%
3 34
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 342
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1884
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 342
18.2%
2 328
17.4%
0 318
16.9%
5 185
9.8%
9 169
9.0%
4 143
7.6%
7 126
 
6.7%
6 123
 
6.5%
8 67
 
3.6%
1 49
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1884
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 342
18.2%
2 328
17.4%
0 318
16.9%
5 185
9.8%
9 169
9.0%
4 143
7.6%
7 126
 
6.7%
6 123
 
6.5%
8 67
 
3.6%
1 49
 
2.6%

남녀공학구분명
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
남여공학
138 
남
22 
여
 
11

Length

Max length4
Median length4
Mean length3.4210526
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남여공학 138
80.7%
남 22
 
12.9%
여 11
 
6.4%

Length

2024-05-03T23:03:05.673247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:03:06.108281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남여공학 138
80.7%
남 22
 
12.9%
여 11
 
6.4%

고등학교구분명
Categorical

Distinct5
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
48 
특성화고
47 
일반고
36 
특목고
36 
자율고
 
4

Length

Max length4
Median length4
Mean length3.5555556
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> 48
28.1%
특성화고 47
27.5%
일반고 36
21.1%
특목고 36
21.1%
자율고 4
 
2.3%

Length

2024-05-03T23:03:06.426580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:03:06.756389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
28.1%
특성화고 47
27.5%
일반고 36
21.1%
특목고 36
21.1%
자율고 4
 
2.3%

산업체특별학급존재여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size303.0 B
False
171 
ValueCountFrequency (%)
False 171
100.0%
2024-05-03T23:03:07.085481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

고등학교일반실업구분명
Categorical

Distinct4
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
일반계
93 
전문계
71 
해당없음
 
6
<NA>
 
1

Length

Max length4
Median length3
Mean length3.0409357
Min length3

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
일반계 93
54.4%
전문계 71
41.5%
해당없음 6
 
3.5%
<NA> 1
 
0.6%

Length

2024-05-03T23:03:07.425135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:03:07.860870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반계 93
54.4%
전문계 71
41.5%
해당없음 6
 
3.5%
na 1
 
0.6%

특수목적고등학교계열명
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
135 
산업수요 맞춤형 고등학교
24 
외국어계열
 
12

Length

Max length13
Median length4
Mean length5.3333333
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> 135
78.9%
산업수요 맞춤형 고등학교 24
 
14.0%
외국어계열 12
 
7.0%

Length

2024-05-03T23:03:08.248225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:03:08.609807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 135
61.6%
산업수요 24
 
11.0%
맞춤형 24
 
11.0%
고등학교 24
 
11.0%
외국어계열 12
 
5.5%

입시전후기구분명
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
전기
133 
후기
38 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전기 133
77.8%
후기 38
 
22.2%

Length

2024-05-03T23:03:08.998652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:03:09.547669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전기 133
77.8%
후기 38
 
22.2%

주야구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
주간
171 

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 171
100.0%

Length

2024-05-03T23:03:09.739358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:03:10.089231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주간 171
100.0%

설립일자
Real number (ℝ)

Distinct55
Distinct (%)32.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19598773
Minimum19340520
Maximum20150901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-03T23:03:10.433439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19340520
5-th percentile19400416
Q119440908
median19560221
Q319680311
95-th percentile19930654
Maximum20150901
Range810381
Interquartile range (IQR)239403

Descriptive statistics

Standard deviation184712.91
Coefficient of variation (CV)0.0094247179
Kurtosis0.22964961
Mean19598773
Median Absolute Deviation (MAD)120090
Skewness0.89594632
Sum3.3513902 × 109
Variance3.4118858 × 1010
MonotonicityNot monotonic
2024-05-03T23:03:10.886957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19420617 31
18.1%
19640108 24
14.0%
19560221 17
 
9.9%
19840304 12
 
7.0%
19460901 6
 
3.5%
19360428 5
 
2.9%
19451005 5
 
2.9%
19680311 5
 
2.9%
19461012 5
 
2.9%
19821130 5
 
2.9%
Other values (45) 56
32.7%
ValueCountFrequency (%)
19340520 1
 
0.6%
19360428 5
 
2.9%
19370401 1
 
0.6%
19400416 4
 
2.3%
19420617 31
18.1%
19440908 4
 
2.3%
19440930 1
 
0.6%
19450514 1
 
0.6%
19451005 5
 
2.9%
19451101 1
 
0.6%
ValueCountFrequency (%)
20150901 1
0.6%
20120301 1
0.6%
20110113 1
0.6%
20060719 1
0.6%
20060301 1
0.6%
20060105 1
0.6%
20050301 1
0.6%
20020710 1
0.6%
20000901 1
0.6%
19860406 1
0.6%

개교기념일
Real number (ℝ)

Distinct55
Distinct (%)32.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19598412
Minimum19340520
Maximum20150901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-03T23:03:11.370507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19340520
5-th percentile19400416
Q119430762
median19500520
Q319680311
95-th percentile20020101
Maximum20150901
Range810381
Interquartile range (IQR)249548.5

Descriptive statistics

Standard deviation194711.62
Coefficient of variation (CV)0.0099350718
Kurtosis0.030261526
Mean19598412
Median Absolute Deviation (MAD)100104
Skewness0.93903886
Sum3.3513284 × 109
Variance3.7912617 × 1010
MonotonicityNot monotonic
2024-05-03T23:03:11.715658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19420617 31
18.1%
19640108 24
14.0%
19500520 17
 
9.9%
19840924 12
 
7.0%
19540412 5
 
2.9%
19451005 5
 
2.9%
19360428 5
 
2.9%
19830413 5
 
2.9%
19680311 5
 
2.9%
19461012 5
 
2.9%
Other values (45) 57
33.3%
ValueCountFrequency (%)
19340520 1
 
0.6%
19360428 5
 
2.9%
19370401 1
 
0.6%
19400416 4
 
2.3%
19420303 1
 
0.6%
19420617 31
18.1%
19440908 4
 
2.3%
19440930 1
 
0.6%
19450514 1
 
0.6%
19451005 5
 
2.9%
ValueCountFrequency (%)
20150901 1
 
0.6%
20120301 1
 
0.6%
20110506 1
 
0.6%
20061030 1
 
0.6%
20060301 2
1.2%
20050603 1
 
0.6%
20020710 1
 
0.6%
20020101 3
1.8%
20000901 1
 
0.6%
19860514 1
 
0.6%

시도교육청코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
B10
171 

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 171
100.0%

Length

2024-05-03T23:03:11.972185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:03:12.252528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
b10 171
100.0%

시도교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
서울특별시교육청
171 

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 171
100.0%

Length

2024-05-03T23:03:12.579502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:03:12.888007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 171
100.0%

소재지명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
서울특별시
171 

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 171
100.0%

Length

2024-05-03T23:03:13.214962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:03:13.540295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 171
100.0%

주야과정
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
주간
123 
<NA>
48 

Length

Max length4
Median length2
Mean length2.5614035
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 123
71.9%
<NA> 48
 
28.1%

Length

2024-05-03T23:03:13.893725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:03:14.236948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주간 123
71.9%
na 48
 
28.1%

계열명
Categorical

Distinct6
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
48 
일반계
40 
상업계
34 
공업계
24 
특성화
13 

Length

Max length4
Median length3
Mean length3.3508772
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> 48
28.1%
일반계 40
23.4%
상업계 34
19.9%
공업계 24
14.0%
특성화 13
 
7.6%
외국어계 12
 
7.0%

Length

2024-05-03T23:03:14.579118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:03:14.920022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
28.1%
일반계 40
23.4%
상업계 34
19.9%
공업계 24
14.0%
특성화 13
 
7.6%
외국어계 12
 
7.0%

학과명
Text

MISSING 

Distinct73
Distinct (%)59.3%
Missing48
Missing (%)28.1%
Memory size1.5 KiB
2024-05-03T23:03:15.425448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length5.5609756
Min length3

Characters and Unicode

Total characters684
Distinct characters114
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)46.3%

Sample

1st row사이버정보통신과
2nd row전자비지니스과
3rd row정보처리과
4th row금융자산마케팅과
5th row디자인과
ValueCountFrequency (%)
공통과정 12
 
9.8%
일반학과 11
 
8.9%
인문사회과정 9
 
7.3%
자연과정 8
 
6.5%
정보처리과 3
 
2.4%
경영정보과 3
 
2.4%
마케팅미디어과 2
 
1.6%
글로벌마케팅과 2
 
1.6%
사이버정보통신과 2
 
1.6%
전자비지니스과 2
 
1.6%
Other values (63) 69
56.1%
2024-05-03T23:03:16.442956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 123
 
18.0%
정 45
 
6.6%
공 19
 
2.8%
자 18
 
2.6%
경 18
 
2.6%
통 17
 
2.5%
인 17
 
2.5%
영 17
 
2.5%
마 16
 
2.3%
팅 15
 
2.2%
Other values (104) 379
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 677
99.0%
Close Punctuation 2
 
0.3%
Open Punctuation 2
 
0.3%
Uppercase Letter 1
 
0.1%
Dash Punctuation 1
 
0.1%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 123
 
18.2%
정 45
 
6.6%
공 19
 
2.8%
자 18
 
2.7%
경 18
 
2.7%
통 17
 
2.5%
인 17
 
2.5%
영 17
 
2.5%
마 16
 
2.4%
팅 15
 
2.2%
Other values (99) 372
54.9%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 677
99.0%
Common 5
 
0.7%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 123
 
18.2%
정 45
 
6.6%
공 19
 
2.8%
자 18
 
2.7%
경 18
 
2.7%
통 17
 
2.5%
인 17
 
2.5%
영 17
 
2.5%
마 16
 
2.4%
팅 15
 
2.2%
Other values (99) 372
54.9%
Common
ValueCountFrequency (%)
) 2
40.0%
( 2
40.0%
- 1
20.0%
Latin
ValueCountFrequency (%)
E 1
50.0%
e 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 677
99.0%
ASCII 7
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 123
 
18.2%
정 45
 
6.6%
공 19
 
2.8%
자 18
 
2.7%
경 18
 
2.7%
통 17
 
2.5%
인 17
 
2.5%
영 17
 
2.5%
마 16
 
2.4%
팅 15
 
2.2%
Other values (99) 372
54.9%
ASCII
ValueCountFrequency (%)
) 2
28.6%
( 2
28.6%
E 1
14.3%
- 1
14.3%
e 1
14.3%

적재일시
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
20230615
119 
20240324
47 
20230709
 
3
20230917
 
1
20230627
 
1

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique2 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
20230615 119
69.6%
20240324 47
 
27.5%
20230709 3
 
1.8%
20230917 1
 
0.6%
20230627 1
 
0.6%

Length

2024-05-03T23:03:16.765640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:03:17.097252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20230615 119
69.6%
20240324 47
 
27.5%
20230709 3
 
1.8%
20230917 1
 
0.6%
20230627 1
 
0.6%

Sample

학교종류명설립구분표준학교코드학교명영문학교명관할조직명도로명우편번호도로명주소도로명상세주소전화번호홈페이지주소팩스번호남녀공학구분명고등학교구분명산업체특별학급존재여부고등학교일반실업구분명특수목적고등학교계열명입시전후기구분명주야구분명설립일자개교기념일시도교육청코드시도교육청명소재지명주야과정계열명학과명적재일시
0중학교국립7121371서울대학교사범대학부설중학교Seoul National University Middle School교육부2796서울특별시 성북구 월곡로 36(종암동)02-943-5812http://snums.sen.ms.kr02-909-1671남<NA>N일반계<NA>전기주간1946090119460901B10서울특별시교육청서울특별시<NA><NA><NA>20230615
1중학교공립7121370숭곡중학교Soonggok Middle School서울특별시성북강북교육지원청2736서울특별시 성북구 종암로 208/ 숭곡중학교 (하월곡동)02-912-7572http://www.soonggok.ms.kr02-912-7573남여공학<NA>N해당없음<NA>후기주간2011011320110506B10서울특별시교육청서울특별시<NA><NA><NA>20230615
2중학교사립7121368홍익대학교사범대학부속중학교HONGIK University Middle School서울특별시성북강북교육지원청2835서울특별시 성북구 성북로14가길 23/ 홍익대학교사범대학부속중학교 (성북동/홍익대학교부속중고등학교)02-762-0824http://hongik.sen.ms.kr02-765-4520남<NA>N일반계<NA>전기주간1954041219540412B10서울특별시교육청서울특별시<NA><NA><NA>20230615
3중학교사립7121367한성여자중학교Hansung Girls’ Middle School서울특별시성북강북교육지원청2876서울특별시 성북구 삼선교로16길 118(삼선동2가/한성여자중학교)02-742-2542http://hansung.sen.ms.kr02-745-8858여<NA>N일반계<NA>전기주간1945100519451005B10서울특별시교육청서울특별시<NA><NA><NA>20230615
4중학교사립7121363성신여자중학교Sungshin Girls’ Middle School서울특별시성북강북교육지원청2840서울특별시 성북구 북악산로 918(돈암동/성신여자중학교)02-929-1898http://www.sung-shin.ms.kr02-929-1890여<NA>N일반계<NA>전기주간1936042819360428B10서울특별시교육청서울특별시<NA><NA><NA>20230615
5중학교사립7121361동구여자중학교Dong-gu Girls’ Middle School서울특별시성북강북교육지원청2834서울특별시 성북구 성북로8길 71(성북동/동구여자중학교)02-762-1304http://www.dong-gu.ms.kr02-762-0308여<NA>N일반계<NA>전기주간1942061719420617B10서울특별시교육청서울특별시<NA><NA><NA>20230615
6중학교사립7121360남대문중학교Namdaemun Middle School서울특별시성북강북교육지원청2763서울특별시 성북구 한천로 660-30(장위동/ 남대문중학교)02-942-3184http://namdaemoon.sen.ms.kr02-942-3185남<NA>N일반계<NA>전기주간1934052019340520B10서울특별시교육청서울특별시<NA><NA><NA>20230615
7중학교사립7121359고명중학교Komyung Middle School서울특별시성북강북교육지원청2828서울특별시 성북구 북악산로 870(돈암동/고명중학교)02-926-2837http://komyung.sen.ms.kr02-921-8443남<NA>N일반계<NA>전기주간1955031519550520B10서울특별시교육청서울특별시<NA><NA><NA>20230615
8중학교사립7121358고려대학교사범대학부속중학교Korea University Middle School서울특별시성북강북교육지원청2708서울특별시 성북구 정릉로 161(정릉동/고려대학교사범대학부속중학교)02-914-8853http://www.koryo.ms.kr02-942-5626남여공학<NA>N일반계<NA>전기주간1968031119680311B10서울특별시교육청서울특별시<NA><NA><NA>20230615
9중학교공립7121357길음중학교Gireum Middle School서울특별시성북강북교육지원청2723서울특별시 성북구 길음로 144/ 길음중학교 (길음동)02-910-8770http://www.gireum.ms.kr02-910-8769남여공학<NA>N해당없음<NA>전기주간2012030120120301B10서울특별시교육청서울특별시<NA><NA><NA>20230615
학교종류명설립구분표준학교코드학교명영문학교명관할조직명도로명우편번호도로명주소도로명상세주소전화번호홈페이지주소팩스번호남녀공학구분명고등학교구분명산업체특별학급존재여부고등학교일반실업구분명특수목적고등학교계열명입시전후기구분명주야구분명설립일자개교기념일시도교육청코드시도교육청명소재지명주야과정계열명학과명적재일시
161고등학교사립7010145대일외국어고등학교Daeil Foreign Language High School서울특별시교육청2713서울특별시 성북구 서경로 116(정릉동/대일외국어고등학교)02-940-1000www.daeil.or.kr02-940-0605남여공학특목고N일반계외국어계열전기주간1984030419840924B10서울특별시교육청서울특별시주간외국어계국제어과20230615
162고등학교공립7010088석관고등학교SEOKGWAN HIGH SCHOOL서울특별시교육청2782서울특별시 성북구 한천로70길 30/ 석관고등학교 (석관동)02-958-1000http://www.seokgwan.hs.kr02-962-5364남여공학일반고N일반계<NA>후기주간1982113019830413B10서울특별시교육청서울특별시주간일반계직업과정20230615
163고등학교공립7010088석관고등학교SEOKGWAN HIGH SCHOOL서울특별시교육청2782서울특별시 성북구 한천로70길 30/ 석관고등학교 (석관동)02-958-1000http://www.seokgwan.hs.kr02-962-5364남여공학일반고N일반계<NA>후기주간1982113019830413B10서울특별시교육청서울특별시주간일반계공통과정20230615
164고등학교공립7010088석관고등학교SEOKGWAN HIGH SCHOOL서울특별시교육청2782서울특별시 성북구 한천로70길 30/ 석관고등학교 (석관동)02-958-1000http://www.seokgwan.hs.kr02-962-5364남여공학일반고N일반계<NA>후기주간1982113019830413B10서울특별시교육청서울특별시주간일반계인문사회과정20230615
165고등학교공립7010088석관고등학교SEOKGWAN HIGH SCHOOL서울특별시교육청2782서울특별시 성북구 한천로70길 30/ 석관고등학교 (석관동)02-958-1000http://www.seokgwan.hs.kr02-962-5364남여공학일반고N일반계<NA>후기주간1982113019830413B10서울특별시교육청서울특별시주간일반계일반학과20230615
166고등학교공립7010088석관고등학교SEOKGWAN HIGH SCHOOL서울특별시교육청2782서울특별시 성북구 한천로70길 30/ 석관고등학교 (석관동)02-958-1000http://www.seokgwan.hs.kr02-962-5364남여공학일반고N일반계<NA>후기주간1982113019830413B10서울특별시교육청서울특별시주간일반계자연과정20230615
167고등학교공립7010061경동고등학교Kyungdong High School서울특별시교육청2870서울특별시 성북구 보문로29길 49(삼선동3가/ 경동고등학교)02-928-2353www.kyungdong.hs.kr02-926-7525남자율고N일반계<NA>후기주간1940041619400416B10서울특별시교육청서울특별시주간일반계인문사회과정20230615
168고등학교공립7010061경동고등학교Kyungdong High School서울특별시교육청2870서울특별시 성북구 보문로29길 49(삼선동3가/ 경동고등학교)02-928-2353www.kyungdong.hs.kr02-926-7525남자율고N일반계<NA>후기주간1940041619400416B10서울특별시교육청서울특별시주간일반계자연과정20230615
169고등학교공립7010061경동고등학교Kyungdong High School서울특별시교육청2870서울특별시 성북구 보문로29길 49(삼선동3가/ 경동고등학교)02-928-2353www.kyungdong.hs.kr02-926-7525남자율고N일반계<NA>후기주간1940041619400416B10서울특별시교육청서울특별시주간일반계일반학과20230615
170고등학교공립7010061경동고등학교Kyungdong High School서울특별시교육청2870서울특별시 성북구 보문로29길 49(삼선동3가/ 경동고등학교)02-928-2353www.kyungdong.hs.kr02-926-7525남자율고N일반계<NA>후기주간1940041619400416B10서울특별시교육청서울특별시주간일반계공통과정20230615