Overview

Dataset statistics

Number of variables28
Number of observations145
Missing cells194
Missing cells (%)4.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.7 KiB
Average record size in memory230.9 B

Variable types

Categorical14
Numeric4
Text8
Boolean1
Unsupported1

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
Author양천구
URLhttps://data.seoul.go.kr/dataList/OA-20517/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 (91.1%)Imbalance
특수목적고등학교계열명 has 145 (100.0%) missing valuesMissing
학과명 has 49 (33.8%) missing valuesMissing
특수목적고등학교계열명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-03 23:20:09.932298
Analysis finished2024-05-03 23:20:10.909763
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학교종류명
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
고등학교
96 
초등학교
30 
중학교
19 

Length

Max length4
Median length4
Mean length3.8689655
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고등학교 96
66.2%
초등학교 30
 
20.7%
중학교 19
 
13.1%

Length

2024-05-03T23:20:11.147518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:20:11.853084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고등학교 96
66.2%
초등학교 30
 
20.7%
중학교 19
 
13.1%

설립구분
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
공립
77 
사립
68 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공립 77
53.1%
사립 68
46.9%

Length

2024-05-03T23:20:12.274138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:20:12.673407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 77
53.1%
사립 68
46.9%

표준학교코드
Real number (ℝ)

Distinct64
Distinct (%)44.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7034575.5
Minimum7010071
Maximum7081523
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-03T23:20:13.156872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7010071
5-th percentile7010098
Q17010250
median7010964
Q37081451
95-th percentile7081506.8
Maximum7081523
Range71452
Interquartile range (IQR)71201

Descriptive statistics

Standard deviation33622.045
Coefficient of variation (CV)0.0047795414
Kurtosis-1.541948
Mean7034575.5
Median Absolute Deviation (MAD)792
Skewness0.6921329
Sum1.0200135 × 109
Variance1.1304419 × 109
MonotonicityDecreasing
2024-05-03T23:20:13.737317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7010964 22
 
15.2%
7011186 16
 
11.0%
7010795 14
 
9.7%
7010071 4
 
2.8%
7010093 4
 
2.8%
7010118 4
 
2.8%
7010134 4
 
2.8%
7010135 4
 
2.8%
7010172 4
 
2.8%
7010208 4
 
2.8%
Other values (54) 65
44.8%
ValueCountFrequency (%)
7010071 4
2.8%
7010093 4
2.8%
7010118 4
2.8%
7010134 4
2.8%
7010135 4
2.8%
7010172 4
2.8%
7010208 4
2.8%
7010209 4
2.8%
7010244 4
2.8%
7010250 3
2.1%
ValueCountFrequency (%)
7081523 1
0.7%
7081522 1
0.7%
7081520 1
0.7%
7081513 1
0.7%
7081510 1
0.7%
7081509 1
0.7%
7081508 1
0.7%
7081507 1
0.7%
7081506 1
0.7%
7081505 1
0.7%

학교명
Text

Distinct64
Distinct (%)44.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-05-03T23:20:14.371401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.2
Min length5

Characters and Unicode

Total characters1044
Distinct characters52
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

Unique50 ?
Unique (%)34.5%

Sample

1st row영도중학교
2nd row양정중학교
3rd row봉영여자중학교
4th row월촌중학교
5th row양천중학교
ValueCountFrequency (%)
서울금융고등학교 22
 
15.2%
대일관광고등학교 16
 
11.0%
서울영상고등학교 14
 
9.7%
목동고등학교 4
 
2.8%
양천고등학교 4
 
2.8%
양정고등학교 4
 
2.8%
진명여자고등학교 4
 
2.8%
금옥여자고등학교 4
 
2.8%
신목고등학교 4
 
2.8%
광영고등학교 4
 
2.8%
Other values (54) 65
44.8%
2024-05-03T23:20:15.411205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 145
13.9%
교 145
13.9%
등 126
12.1%
고 96
 
9.2%
서 76
 
7.3%
울 66
 
6.3%
초 30
 
2.9%
금 27
 
2.6%
영 25
 
2.4%
광 24
 
2.3%
Other values (42) 284
27.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1044
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 145
13.9%
교 145
13.9%
등 126
12.1%
고 96
 
9.2%
서 76
 
7.3%
울 66
 
6.3%
초 30
 
2.9%
금 27
 
2.6%
영 25
 
2.4%
광 24
 
2.3%
Other values (42) 284
27.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1044
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 145
13.9%
교 145
13.9%
등 126
12.1%
고 96
 
9.2%
서 76
 
7.3%
울 66
 
6.3%
초 30
 
2.9%
금 27
 
2.6%
영 25
 
2.4%
광 24
 
2.3%
Other values (42) 284
27.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1044
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 145
13.9%
교 145
13.9%
등 126
12.1%
고 96
 
9.2%
서 76
 
7.3%
울 66
 
6.3%
초 30
 
2.9%
금 27
 
2.6%
영 25
 
2.4%
광 24
 
2.3%
Other values (42) 284
27.2%

영문학교명
Text

Distinct64
Distinct (%)44.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-05-03T23:20:15.936309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length32
Mean length25.268966
Min length18

Characters and Unicode

Total characters3664
Distinct characters38
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

Unique50 ?
Unique (%)34.5%

Sample

1st rowYeongdo Middle School
2nd rowYang Chung Middle School
3rd rowBongyoung Girls’ Middle School
4th rowWolchon Middle School
5th rowYangcheon Middle School
ValueCountFrequency (%)
school 144
26.5%
high 96
17.6%
seoul 66
12.1%
elementary 30
 
5.5%
finance 22
 
4.0%
middle 19
 
3.5%
daeil 16
 
2.9%
tourism 16
 
2.9%
visual 14
 
2.6%
media 14
 
2.6%
Other values (54) 107
19.7%
2024-05-03T23:20:16.997793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 450
12.3%
399
10.9%
l 308
 
8.4%
h 264
 
7.2%
i 238
 
6.5%
e 233
 
6.4%
S 229
 
6.2%
n 196
 
5.3%
g 183
 
5.0%
c 178
 
4.9%
Other values (28) 986
26.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2705
73.8%
Uppercase Letter 544
 
14.8%
Space Separator 399
 
10.9%
Final Punctuation 9
 
0.2%
Dash Punctuation 7
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 450
16.6%
l 308
11.4%
h 264
9.8%
i 238
8.8%
e 233
8.6%
n 196
7.2%
g 183
6.8%
c 178
 
6.6%
a 161
 
6.0%
u 121
 
4.5%
Other values (9) 373
13.8%
Uppercase Letter
ValueCountFrequency (%)
S 229
42.1%
H 99
18.2%
M 43
 
7.9%
E 31
 
5.7%
G 26
 
4.8%
F 22
 
4.0%
Y 21
 
3.9%
T 16
 
2.9%
D 16
 
2.9%
V 14
 
2.6%
Other values (6) 27
 
5.0%
Space Separator
ValueCountFrequency (%)
399
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3249
88.7%
Common 415
 
11.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 450
13.9%
l 308
 
9.5%
h 264
 
8.1%
i 238
 
7.3%
e 233
 
7.2%
S 229
 
7.0%
n 196
 
6.0%
g 183
 
5.6%
c 178
 
5.5%
a 161
 
5.0%
Other values (25) 809
24.9%
Common
ValueCountFrequency (%)
399
96.1%
’ 9
 
2.2%
- 7
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3655
99.8%
Punctuation 9
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 450
12.3%
399
10.9%
l 308
 
8.4%
h 264
 
7.2%
i 238
 
6.5%
e 233
 
6.4%
S 229
 
6.3%
n 196
 
5.4%
g 183
 
5.0%
c 178
 
4.9%
Other values (27) 977
26.7%
Punctuation
ValueCountFrequency (%)
’ 9
100.0%

관할조직명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
서울특별시교육청
96 
서울특별시강서양천교육지원청
49 

Length

Max length14
Median length8
Mean length10.027586
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시교육청 96
66.2%
서울특별시강서양천교육지원청 49
33.8%

Length

2024-05-03T23:20:17.428693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:20:17.826231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 96
66.2%
서울특별시강서양천교육지원청 49
33.8%

도로명우편번호
Real number (ℝ)

Distinct41
Distinct (%)28.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7998.9241
Minimum7901
Maximum8108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-03T23:20:18.480388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7901
5-th percentile7909
Q17915
median8010
Q38051
95-th percentile8099
Maximum8108
Range207
Interquartile range (IQR)136

Descriptive statistics

Standard deviation67.115787
Coefficient of variation (CV)0.0083906018
Kurtosis-1.2976071
Mean7998.9241
Median Absolute Deviation (MAD)52
Skewness-0.072484776
Sum1159844
Variance4504.5289
MonotonicityNot monotonic
2024-05-03T23:20:19.082818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
7909 32
22.1%
8051 16
 
11.0%
8021 16
 
11.0%
8080 10
 
6.9%
8099 6
 
4.1%
7985 6
 
4.1%
7958 5
 
3.4%
8018 5
 
3.4%
8002 5
 
3.4%
7984 4
 
2.8%
Other values (31) 40
27.6%
ValueCountFrequency (%)
7901 1
 
0.7%
7902 2
 
1.4%
7909 32
22.1%
7912 1
 
0.7%
7915 1
 
0.7%
7930 1
 
0.7%
7931 1
 
0.7%
7935 2
 
1.4%
7942 1
 
0.7%
7947 1
 
0.7%
ValueCountFrequency (%)
8108 4
 
2.8%
8106 1
 
0.7%
8100 2
 
1.4%
8099 6
4.1%
8091 2
 
1.4%
8089 1
 
0.7%
8080 10
6.9%
8077 1
 
0.7%
8065 1
 
0.7%
8061 1
 
0.7%

도로명주소
Text

Distinct58
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-05-03T23:20:19.727498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length19.089655
Min length16

Characters and Unicode

Total characters2768
Distinct characters46
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

Unique44 ?
Unique (%)30.3%

Sample

1st row서울특별시 양천구 목동중앙남로 27
2nd row서울특별시 양천구 안양천로 1039
3rd row서울특별시 양천구 목동동로2길 68
4th row서울특별시 양천구 목동서로 31
5th row서울특별시 양천구 지양로7길 32
ValueCountFrequency (%)
서울특별시 145
25.0%
양천구 145
25.0%
19 24
 
4.1%
가로공원로61길 22
 
3.8%
신정이펜1로 16
 
2.8%
11 16
 
2.8%
목동로11길 15
 
2.6%
46 14
 
2.4%
안양천로 10
 
1.7%
남부순환로30길 8
 
1.4%
Other values (80) 164
28.3%
2024-05-03T23:20:21.109910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
434
15.7%
1 186
 
6.7%
로 168
 
6.1%
양 156
 
5.6%
천 155
 
5.6%
서 150
 
5.4%
특 145
 
5.2%
별 145
 
5.2%
시 145
 
5.2%
구 145
 
5.2%
Other values (36) 939
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1841
66.5%
Decimal Number 491
 
17.7%
Space Separator 434
 
15.7%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 168
9.1%
양 156
 
8.5%
천 155
 
8.4%
서 150
 
8.1%
특 145
 
7.9%
별 145
 
7.9%
시 145
 
7.9%
구 145
 
7.9%
울 145
 
7.9%
길 78
 
4.2%
Other values (24) 409
22.2%
Decimal Number
ValueCountFrequency (%)
1 186
37.9%
3 52
 
10.6%
6 50
 
10.2%
9 42
 
8.6%
2 40
 
8.1%
0 35
 
7.1%
7 29
 
5.9%
4 26
 
5.3%
5 17
 
3.5%
8 14
 
2.9%
Space Separator
ValueCountFrequency (%)
434
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1841
66.5%
Common 927
33.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 168
9.1%
양 156
 
8.5%
천 155
 
8.4%
서 150
 
8.1%
특 145
 
7.9%
별 145
 
7.9%
시 145
 
7.9%
구 145
 
7.9%
울 145
 
7.9%
길 78
 
4.2%
Other values (24) 409
22.2%
Common
ValueCountFrequency (%)
434
46.8%
1 186
20.1%
3 52
 
5.6%
6 50
 
5.4%
9 42
 
4.5%
2 40
 
4.3%
0 35
 
3.8%
7 29
 
3.1%
4 26
 
2.8%
5 17
 
1.8%
Other values (2) 16
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1841
66.5%
ASCII 927
33.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
434
46.8%
1 186
20.1%
3 52
 
5.6%
6 50
 
5.4%
9 42
 
4.5%
2 40
 
4.3%
0 35
 
3.8%
7 29
 
3.1%
4 26
 
2.8%
5 17
 
1.8%
Other values (2) 16
 
1.7%
Hangul
ValueCountFrequency (%)
로 168
9.1%
양 156
 
8.5%
천 155
 
8.4%
서 150
 
8.1%
특 145
 
7.9%
별 145
 
7.9%
시 145
 
7.9%
구 145
 
7.9%
울 145
 
7.9%
길 78
 
4.2%
Other values (24) 409
22.2%

도로명상세주소
Text

Distinct61
Distinct (%)42.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-05-03T23:20:21.835532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length14.924138
Min length4

Characters and Unicode

Total characters2164
Distinct characters59
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)32.4%

Sample

1st row/ 영도중학교 (목동/강서고등학교)
2nd row(목동/ 양정고등학교)
3rd row(신정동/봉영여자중학교)
4th row(목동/서울월촌중학교)
5th row(신월동/양천중학교)
ValueCountFrequency (%)
85
25.3%
신정동 50
14.9%
신월동 32
 
9.5%
대일관광고등학교 32
 
9.5%
서울금융고등학교 22
 
6.5%
서울영상고등학교 14
 
4.2%
목동 13
 
3.9%
신정동/신목고등학교 4
 
1.2%
신정동/양천고등학교 4
 
1.2%
진명여자고등학교 4
 
1.2%
Other values (58) 76
22.6%
2024-05-03T23:20:22.825281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
191
 
8.8%
학 154
 
7.1%
교 154
 
7.1%
/ 153
 
7.1%
동 151
 
7.0%
( 144
 
6.7%
) 144
 
6.7%
등 137
 
6.3%
신 134
 
6.2%
고 107
 
4.9%
Other values (49) 695
32.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1523
70.4%
Space Separator 191
 
8.8%
Other Punctuation 155
 
7.2%
Open Punctuation 144
 
6.7%
Close Punctuation 144
 
6.7%
Decimal Number 6
 
0.3%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 154
 
10.1%
교 154
 
10.1%
동 151
 
9.9%
등 137
 
9.0%
신 134
 
8.8%
고 107
 
7.0%
정 77
 
5.1%
서 74
 
4.9%
울 64
 
4.2%
월 50
 
3.3%
Other values (38) 421
27.6%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
4 2
33.3%
3 1
16.7%
2 1
16.7%
Other Punctuation
ValueCountFrequency (%)
/ 153
98.7%
, 1
 
0.6%
. 1
 
0.6%
Space Separator
ValueCountFrequency (%)
191
100.0%
Open Punctuation
ValueCountFrequency (%)
( 144
100.0%
Close Punctuation
ValueCountFrequency (%)
) 144
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1523
70.4%
Common 641
29.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 154
 
10.1%
교 154
 
10.1%
동 151
 
9.9%
등 137
 
9.0%
신 134
 
8.8%
고 107
 
7.0%
정 77
 
5.1%
서 74
 
4.9%
울 64
 
4.2%
월 50
 
3.3%
Other values (38) 421
27.6%
Common
ValueCountFrequency (%)
191
29.8%
/ 153
23.9%
( 144
22.5%
) 144
22.5%
1 2
 
0.3%
4 2
 
0.3%
, 1
 
0.2%
. 1
 
0.2%
3 1
 
0.2%
2 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1523
70.4%
ASCII 641
29.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
191
29.8%
/ 153
23.9%
( 144
22.5%
) 144
22.5%
1 2
 
0.3%
4 2
 
0.3%
, 1
 
0.2%
. 1
 
0.2%
3 1
 
0.2%
2 1
 
0.2%
Hangul
ValueCountFrequency (%)
학 154
 
10.1%
교 154
 
10.1%
동 151
 
9.9%
등 137
 
9.0%
신 134
 
8.8%
고 107
 
7.0%
정 77
 
5.1%
서 74
 
4.9%
울 64
 
4.2%
월 50
 
3.3%
Other values (38) 421
27.6%

전화번호
Text

Distinct64
Distinct (%)44.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-05-03T23:20:23.617890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.137931
Min length12

Characters and Unicode

Total characters1760
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

Unique50 ?
Unique (%)34.5%

Sample

1st row02-2643-0242
2nd row02-2649-7077
3rd row02-2648-7123
4th row02-2648-8570
5th row02-2694-2715
ValueCountFrequency (%)
02-2694-3710 22
 
15.2%
070-4377-8871 16
 
11.0%
02-2602-7121 14
 
9.7%
02-2652-1701 4
 
2.8%
02-2605-5996 4
 
2.8%
02-2649-7071 4
 
2.8%
02-2643-1711 4
 
2.8%
02-2086-7502 4
 
2.8%
070-8720-5010 4
 
2.8%
02-2650-2300 4
 
2.8%
Other values (54) 65
44.8%
2024-05-03T23:20:24.739199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 331
18.8%
0 307
17.4%
- 290
16.5%
7 163
9.3%
6 159
9.0%
1 135
7.7%
4 92
 
5.2%
3 76
 
4.3%
8 70
 
4.0%
5 69
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1470
83.5%
Dash Punctuation 290
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 331
22.5%
0 307
20.9%
7 163
11.1%
6 159
10.8%
1 135
9.2%
4 92
 
6.3%
3 76
 
5.2%
8 70
 
4.8%
5 69
 
4.7%
9 68
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 290
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1760
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 331
18.8%
0 307
17.4%
- 290
16.5%
7 163
9.3%
6 159
9.0%
1 135
7.7%
4 92
 
5.2%
3 76
 
4.3%
8 70
 
4.0%
5 69
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 331
18.8%
0 307
17.4%
- 290
16.5%
7 163
9.3%
6 159
9.0%
1 135
7.7%
4 92
 
5.2%
3 76
 
4.3%
8 70
 
4.0%
5 69
 
3.9%

홈페이지주소
Text

Distinct64
Distinct (%)44.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-05-03T23:20:25.487476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length22.765517
Min length12

Characters and Unicode

Total characters3301
Distinct characters28
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

Unique50 ?
Unique (%)34.5%

Sample

1st rowhttp://yeongdo21.sen.ms.kr
2nd rowhttp://ycsc.sen.ms.kr
3rd rowbongyoung.sen.ms.kr
4th rowhttp://wolchonnet.sen.ms.kr
5th rowhttp://yangcheon.sen.ms.kr
ValueCountFrequency (%)
http://www.seoulfc.hs.kr 22
 
15.2%
http://daeil-tour.sen.hs.kr 16
 
11.0%
youngsang.hs.kr 14
 
9.7%
https://mokdong.sen.hs.kr 4
 
2.8%
http://www.yangcheoncschool.net 4
 
2.8%
http://www.yangchung.hs.kr 4
 
2.8%
http://jm.sen.hs.kr 4
 
2.8%
http://www.geumok.hs.kr 4
 
2.8%
http://shinmok.hs.kr 4
 
2.8%
http://www.ky.hs.kr 4
 
2.8%
Other values (54) 65
44.8%
2024-05-03T23:20:26.733814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 411
12.5%
s 286
 
8.7%
t 271
 
8.2%
/ 255
 
7.7%
h 246
 
7.5%
n 193
 
5.8%
w 184
 
5.6%
k 173
 
5.2%
e 169
 
5.1%
r 160
 
4.8%
Other values (18) 953
28.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2490
75.4%
Other Punctuation 791
 
24.0%
Dash Punctuation 17
 
0.5%
Decimal Number 3
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 286
11.5%
t 271
10.9%
h 246
9.9%
n 193
 
7.8%
w 184
 
7.4%
k 173
 
6.9%
e 169
 
6.8%
r 160
 
6.4%
p 125
 
5.0%
o 122
 
4.9%
Other values (12) 561
22.5%
Other Punctuation
ValueCountFrequency (%)
. 411
52.0%
/ 255
32.2%
: 125
 
15.8%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
2 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2490
75.4%
Common 811
 
24.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 286
11.5%
t 271
10.9%
h 246
9.9%
n 193
 
7.8%
w 184
 
7.4%
k 173
 
6.9%
e 169
 
6.8%
r 160
 
6.4%
p 125
 
5.0%
o 122
 
4.9%
Other values (12) 561
22.5%
Common
ValueCountFrequency (%)
. 411
50.7%
/ 255
31.4%
: 125
 
15.4%
- 17
 
2.1%
1 2
 
0.2%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3301
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 411
12.5%
s 286
 
8.7%
t 271
 
8.2%
/ 255
 
7.7%
h 246
 
7.5%
n 193
 
5.8%
w 184
 
5.6%
k 173
 
5.2%
e 169
 
5.1%
r 160
 
4.8%
Other values (18) 953
28.9%

팩스번호
Text

Distinct64
Distinct (%)44.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-05-03T23:20:27.361410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1740
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

Unique50 ?
Unique (%)34.5%

Sample

1st row02-2652-5414
2nd row02-2653-4827
3rd row02-2648-7122
4th row02-2648-8577
5th row02-2694-4024
ValueCountFrequency (%)
02-2690-6754 22
 
15.2%
02-2603-7361 16
 
11.0%
02-2606-1804 14
 
9.7%
02-2652-9229 4
 
2.8%
02-2605-5986 4
 
2.8%
02-2649-7079 4
 
2.8%
02-2649-8327 4
 
2.8%
02-2086-7575 4
 
2.8%
02-2645-5902 4
 
2.8%
02-2697-1002 4
 
2.8%
Other values (54) 65
44.8%
2024-05-03T23:20:28.481658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 349
20.1%
- 290
16.7%
0 266
15.3%
6 226
13.0%
5 108
 
6.2%
4 97
 
5.6%
9 96
 
5.5%
7 91
 
5.2%
3 79
 
4.5%
1 78
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1450
83.3%
Dash Punctuation 290
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 349
24.1%
0 266
18.3%
6 226
15.6%
5 108
 
7.4%
4 97
 
6.7%
9 96
 
6.6%
7 91
 
6.3%
3 79
 
5.4%
1 78
 
5.4%
8 60
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 290
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1740
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 349
20.1%
- 290
16.7%
0 266
15.3%
6 226
13.0%
5 108
 
6.2%
4 97
 
5.6%
9 96
 
5.5%
7 91
 
5.2%
3 79
 
4.5%
1 78
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1740
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 349
20.1%
- 290
16.7%
0 266
15.3%
6 226
13.0%
5 108
 
6.2%
4 97
 
5.6%
9 96
 
5.5%
7 91
 
5.2%
3 79
 
4.5%
1 78
 
4.5%

남녀공학구분명
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
남여공학
94 
여
33 
남
18 

Length

Max length4
Median length4
Mean length2.9448276
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남여공학 94
64.8%
여 33
 
22.8%
남 18
 
12.4%

Length

2024-05-03T23:20:28.993885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:20:29.375444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남여공학 94
64.8%
여 33
 
22.8%
남 18
 
12.4%

고등학교구분명
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
특성화고
52 
<NA>
49 
일반고
37 
자율고
7 

Length

Max length4
Median length4
Mean length3.6965517
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 (%)
특성화고 52
35.9%
<NA> 49
33.8%
일반고 37
25.5%
자율고 7
 
4.8%

Length

2024-05-03T23:20:29.745593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:20:30.104837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
특성화고 52
35.9%
na 49
33.8%
일반고 37
25.5%
자율고 7
 
4.8%

산업체특별학급존재여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size277.0 B
False
145 
ValueCountFrequency (%)
False 145
100.0%
2024-05-03T23:20:30.491674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

고등학교일반실업구분명
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
일반계
89 
전문계
52 
해당없음
 
4

Length

Max length4
Median length3
Mean length3.0275862
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반계 89
61.4%
전문계 52
35.9%
해당없음 4
 
2.8%

Length

2024-05-03T23:20:30.864419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:20:31.288768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반계 89
61.4%
전문계 52
35.9%
해당없음 4
 
2.8%

특수목적고등학교계열명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing145
Missing (%)100.0%
Memory size1.4 KiB

입시전후기구분명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
전기
108 
후기
37 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전기 108
74.5%
후기 37
 
25.5%

Length

2024-05-03T23:20:31.660692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:20:31.958794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전기 108
74.5%
후기 37
 
25.5%

주야구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
주간
145 

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 145
100.0%

Length

2024-05-03T23:20:32.277137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:20:32.610934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주간 145
100.0%

설립일자
Real number (ℝ)

Distinct57
Distinct (%)39.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19774783
Minimum19050211
Maximum20110901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-03T23:20:32.982504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19050211
5-th percentile19060421
Q119800926
median19840409
Q319860129
95-th percentile19961210
Maximum20110901
Range1060690
Interquartile range (IQR)59203

Descriptive statistics

Standard deviation213103.55
Coefficient of variation (CV)0.010776531
Kurtosis5.7772361
Mean19774783
Median Absolute Deviation (MAD)30613
Skewness-2.3664289
Sum2.8673435 × 109
Variance4.5413125 × 1010
MonotonicityNot monotonic
2024-05-03T23:20:33.601152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19841217 26
17.9%
19800926 16
 
11.0%
19611208 14
 
9.7%
19861217 5
 
3.4%
19891208 4
 
2.8%
19060421 4
 
2.8%
19810115 4
 
2.8%
19831101 4
 
2.8%
19850201 4
 
2.8%
19840409 4
 
2.8%
Other values (47) 60
41.4%
ValueCountFrequency (%)
19050211 1
 
0.7%
19050512 4
 
2.8%
19060421 4
 
2.8%
19380910 1
 
0.7%
19511008 1
 
0.7%
19611208 14
9.7%
19691111 1
 
0.7%
19720811 1
 
0.7%
19731211 1
 
0.7%
19780803 1
 
0.7%
ValueCountFrequency (%)
20110901 1
 
0.7%
20090301 2
1.4%
20060105 1
 
0.7%
20051229 1
 
0.7%
20020901 1
 
0.7%
20000502 1
 
0.7%
19961210 3
2.1%
19960710 1
 
0.7%
19950605 1
 
0.7%
19911030 1
 
0.7%

개교기념일
Real number (ℝ)

Distinct59
Distinct (%)40.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19777312
Minimum19050512
Maximum20111028
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-03T23:20:34.135208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19050512
5-th percentile19060421
Q119800926
median19841217
Q319860502
95-th percentile19961210
Maximum20111028
Range1060516
Interquartile range (IQR)59576

Descriptive statistics

Standard deviation212191.36
Coefficient of variation (CV)0.010729029
Kurtosis5.9795788
Mean19777312
Median Absolute Deviation (MAD)30714
Skewness-2.3945481
Sum2.8677103 × 109
Variance4.5025175 × 1010
MonotonicityNot monotonic
2024-05-03T23:20:34.559912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19841217 26
17.9%
19800926 16
 
11.0%
19611208 14
 
9.7%
19050512 5
 
3.4%
19840312 4
 
2.8%
19060421 4
 
2.8%
19900914 4
 
2.8%
19850306 4
 
2.8%
19850201 4
 
2.8%
19831101 4
 
2.8%
Other values (49) 60
41.4%
ValueCountFrequency (%)
19050512 5
 
3.4%
19060421 4
 
2.8%
19511008 1
 
0.7%
19521101 1
 
0.7%
19611208 14
9.7%
19700506 1
 
0.7%
19720811 1
 
0.7%
19740710 1
 
0.7%
19790404 1
 
0.7%
19790506 1
 
0.7%
ValueCountFrequency (%)
20111028 1
 
0.7%
20090506 2
1.4%
20060525 1
 
0.7%
20060509 1
 
0.7%
20021104 1
 
0.7%
20001002 1
 
0.7%
19961210 3
2.1%
19960710 1
 
0.7%
19950605 1
 
0.7%
19911030 1
 
0.7%

시도교육청코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
B10
145 

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 145
100.0%

Length

2024-05-03T23:20:35.026800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:20:35.296841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
b10 145
100.0%

시도교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
서울특별시교육청
145 

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 145
100.0%

Length

2024-05-03T23:20:35.614245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:20:35.934031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 145
100.0%

소재지명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
서울특별시
145 

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 145
100.0%

Length

2024-05-03T23:20:36.258255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:20:36.571125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 145
100.0%

주야과정
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
주간
96 
<NA>
49 

Length

Max length4
Median length2
Mean length2.6758621
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 96
66.2%
<NA> 49
33.8%

Length

2024-05-03T23:20:36.975563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:20:37.295572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주간 96
66.2%
na 49
33.8%

계열명
Categorical

Distinct5
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
49 
일반계
44 
상업계
29 
특성화
14 
가사실업계
9 

Length

Max length5
Median length3
Mean length3.462069
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> 49
33.8%
일반계 44
30.3%
상업계 29
20.0%
특성화 14
 
9.7%
가사실업계 9
 
6.2%

Length

2024-05-03T23:20:37.660735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:20:38.000113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
33.8%
일반계 44
30.3%
상업계 29
20.0%
특성화 14
 
9.7%
가사실업계 9
 
6.2%

학과명
Text

MISSING 

Distinct49
Distinct (%)51.0%
Missing49
Missing (%)33.8%
Memory size1.3 KiB
2024-05-03T23:20:38.618814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.34375
Min length3

Characters and Unicode

Total characters513
Distinct characters107
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)40.6%

Sample

1st row관광비즈니스과
2nd row뷰티아트과
3rd row외식산업과
4th row호텔항공과
5th row경영정보과
ValueCountFrequency (%)
공통과정 12
 
12.5%
일반학과 12
 
12.5%
인문사회과정 10
 
10.4%
자연과정 10
 
10.4%
정보처리과 3
 
3.1%
인터넷비즈니스과 2
 
2.1%
관광외식산업과 2
 
2.1%
경영정보과 2
 
2.1%
공통과정(전문계 2
 
2.1%
관광비즈니스과 2
 
2.1%
Other values (39) 39
40.6%
2024-05-03T23:20:39.752350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 95
 
18.5%
정 42
 
8.2%
인 17
 
3.3%
자 17
 
3.3%
공 15
 
2.9%
통 14
 
2.7%
일 13
 
2.5%
반 13
 
2.5%
학 12
 
2.3%
문 12
 
2.3%
Other values (97) 263
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 507
98.8%
Close Punctuation 2
 
0.4%
Open Punctuation 2
 
0.4%
Decimal Number 1
 
0.2%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 95
 
18.7%
정 42
 
8.3%
인 17
 
3.4%
자 17
 
3.4%
공 15
 
3.0%
통 14
 
2.8%
일 13
 
2.6%
반 13
 
2.6%
학 12
 
2.4%
문 12
 
2.4%
Other values (93) 257
50.7%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 507
98.8%
Common 5
 
1.0%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 95
 
18.7%
정 42
 
8.3%
인 17
 
3.4%
자 17
 
3.4%
공 15
 
3.0%
통 14
 
2.8%
일 13
 
2.6%
반 13
 
2.6%
학 12
 
2.4%
문 12
 
2.4%
Other values (93) 257
50.7%
Common
ValueCountFrequency (%)
) 2
40.0%
( 2
40.0%
3 1
20.0%
Latin
ValueCountFrequency (%)
D 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 507
98.8%
ASCII 6
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 95
 
18.7%
정 42
 
8.3%
인 17
 
3.4%
자 17
 
3.4%
공 15
 
3.0%
통 14
 
2.8%
일 13
 
2.6%
반 13
 
2.6%
학 12
 
2.4%
문 12
 
2.4%
Other values (93) 257
50.7%
ASCII
ValueCountFrequency (%)
) 2
33.3%
( 2
33.3%
3 1
16.7%
D 1
16.7%

적재일시
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
20230615
142 
20240107
 
1
20240331
 
1
20240407
 
1

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique3 ?
Unique (%)2.1%

Sample

1st row20230615
2nd row20230615
3rd row20230615
4th row20230615
5th row20240107

Common Values

ValueCountFrequency (%)
20230615 142
97.9%
20240107 1
 
0.7%
20240331 1
 
0.7%
20240407 1
 
0.7%

Length

2024-05-03T23:20:40.573553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:20:41.030754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20230615 142
97.9%
20240107 1
 
0.7%
20240331 1
 
0.7%
20240407 1
 
0.7%

Sample

학교종류명설립구분표준학교코드학교명영문학교명관할조직명도로명우편번호도로명주소도로명상세주소전화번호홈페이지주소팩스번호남녀공학구분명고등학교구분명산업체특별학급존재여부고등학교일반실업구분명특수목적고등학교계열명입시전후기구분명주야구분명설립일자개교기념일시도교육청코드시도교육청명소재지명주야과정계열명학과명적재일시
0중학교사립7081523영도중학교Yeongdo Middle School서울특별시강서양천교육지원청7958서울특별시 양천구 목동중앙남로 27/ 영도중학교 (목동/강서고등학교)02-2643-0242http://yeongdo21.sen.ms.kr02-2652-5414남<NA>N일반계<NA>전기주간1938091019521101B10서울특별시교육청서울특별시<NA><NA><NA>20230615
1중학교사립7081522양정중학교Yang Chung Middle School서울특별시강서양천교육지원청7985서울특별시 양천구 안양천로 1039(목동/ 양정고등학교)02-2649-7077http://ycsc.sen.ms.kr02-2653-4827남<NA>N일반계<NA>전기주간1905021119050512B10서울특별시교육청서울특별시<NA><NA><NA>20230615
2중학교사립7081520봉영여자중학교Bongyoung Girls’ Middle School서울특별시강서양천교육지원청8099서울특별시 양천구 목동동로2길 68(신정동/봉영여자중학교)02-2648-7123bongyoung.sen.ms.kr02-2648-7122여<NA>N일반계<NA>전기주간1951100819511008B10서울특별시교육청서울특별시<NA><NA><NA>20230615
3중학교공립7081513월촌중학교Wolchon Middle School서울특별시강서양천교육지원청7984서울특별시 양천구 목동서로 31(목동/서울월촌중학교)02-2648-8570http://wolchonnet.sen.ms.kr02-2648-8577남여공학<NA>N일반계<NA>전기주간1991012119910504B10서울특별시교육청서울특별시<NA><NA><NA>20230615
4중학교공립7081510양천중학교Yangcheon Middle School서울특별시강서양천교육지원청8037서울특별시 양천구 지양로7길 32(신월동/양천중학교)02-2694-2715http://yangcheon.sen.ms.kr02-2694-4024남여공학<NA>N일반계<NA>전기주간1990012019900504B10서울특별시교육청서울특별시<NA><NA><NA>20240107
5중학교공립7081509양서중학교Yangseo Middle School서울특별시강서양천교육지원청7912서울특별시 양천구 남부순환로 380(신월동/양서중학교)02-6273-8106http://www.yangseo.ms.kr02-2603-6676남여공학<NA>N일반계<NA>전기주간1990012019900506B10서울특별시교육청서울특별시<NA><NA><NA>20230615
6중학교공립7081508양동중학교Yangdong Middle School서울특별시강서양천교육지원청7947서울특별시 양천구 목동중앙북로 49(목동/양동중학교)02-2648-3638http://yangdong.sen.ms.kr02-2653-5248남여공학<NA>N일반계<NA>전기주간1984010919840109B10서울특별시교육청서울특별시<NA><NA><NA>20230615
7중학교공립7081507양강중학교Yangkang Middle School서울특별시강서양천교육지원청7935서울특별시 양천구 중앙로 319(신월동)02-2691-0869http://www.yangkang.ms.kr02-2692-7853남여공학<NA>N일반계<NA>전기주간1986021719870507B10서울특별시교육청서울특별시<NA><NA><NA>20230615
8중학교공립7081506신화중학교Shinhwa Middle School서울특별시강서양천교육지원청7902서울특별시 양천구 남부순환로29길 35, 신화중학교 (신월동)02-3219-2900http://shinhwa.sen.ms.kr02-2694-1701남여공학<NA>N일반계<NA>전기주간1969111119700506B10서울특별시교육청서울특별시<NA><NA><NA>20240331
9중학교공립7081505신월중학교Sinwol Middle School서울특별시강서양천교육지원청7902서울특별시 양천구 남부순환로29길 25/ 신월중학교 (신월동)02-2601-4254http://sinwol.sen.ms.kr02-2698-3267남여공학<NA>N일반계<NA>전기주간1980121719810520B10서울특별시교육청서울특별시<NA><NA><NA>20230615
학교종류명설립구분표준학교코드학교명영문학교명관할조직명도로명우편번호도로명주소도로명상세주소전화번호홈페이지주소팩스번호남녀공학구분명고등학교구분명산업체특별학급존재여부고등학교일반실업구분명특수목적고등학교계열명입시전후기구분명주야구분명설립일자개교기념일시도교육청코드시도교육청명소재지명주야과정계열명학과명적재일시
135고등학교사립7010118강서고등학교Gangseo High School서울특별시교육청7958서울특별시 양천구 목동중앙남로 27/ 강서고등학교 (목동)02-2642-0725http://gangseo.sen.hs.kr02-2651-3046남일반고N일반계<NA>후기주간1983110119831101B10서울특별시교육청서울특별시주간일반계공통과정20230615
136고등학교사립7010118강서고등학교Gangseo High School서울특별시교육청7958서울특별시 양천구 목동중앙남로 27/ 강서고등학교 (목동)02-2642-0725http://gangseo.sen.hs.kr02-2651-3046남일반고N일반계<NA>후기주간1983110119831101B10서울특별시교육청서울특별시주간일반계인문사회과정20230615
137고등학교공립7010093신목고등학교Shinmok High School서울특별시교육청8018서울특별시 양천구 안양천로 739(신정동/신목고등학교)070-8720-5010http://shinmok.hs.kr02-2645-5902남여공학일반고N일반계<NA>후기주간1986121719870528B10서울특별시교육청서울특별시주간일반계공통과정20230615
138고등학교공립7010093신목고등학교Shinmok High School서울특별시교육청8018서울특별시 양천구 안양천로 739(신정동/신목고등학교)070-8720-5010http://shinmok.hs.kr02-2645-5902남여공학일반고N일반계<NA>후기주간1986121719870528B10서울특별시교육청서울특별시주간일반계자연과정20230615
139고등학교공립7010093신목고등학교Shinmok High School서울특별시교육청8018서울특별시 양천구 안양천로 739(신정동/신목고등학교)070-8720-5010http://shinmok.hs.kr02-2645-5902남여공학일반고N일반계<NA>후기주간1986121719870528B10서울특별시교육청서울특별시주간일반계일반학과20230615
140고등학교공립7010093신목고등학교Shinmok High School서울특별시교육청8018서울특별시 양천구 안양천로 739(신정동/신목고등학교)070-8720-5010http://shinmok.hs.kr02-2645-5902남여공학일반고N일반계<NA>후기주간1986121719870528B10서울특별시교육청서울특별시주간일반계인문사회과정20230615
141고등학교공립7010071금옥여자고등학교Geumok Girls High School서울특별시교육청8080서울특별시 양천구 신정로 213(신정동)02-2086-7502http://www.geumok.hs.kr02-2086-7575여일반고N일반계<NA>후기주간1981011519810503B10서울특별시교육청서울특별시주간일반계일반학과20230615
142고등학교공립7010071금옥여자고등학교Geumok Girls High School서울특별시교육청8080서울특별시 양천구 신정로 213(신정동)02-2086-7502http://www.geumok.hs.kr02-2086-7575여일반고N일반계<NA>후기주간1981011519810503B10서울특별시교육청서울특별시주간일반계공통과정20230615
143고등학교공립7010071금옥여자고등학교Geumok Girls High School서울특별시교육청8080서울특별시 양천구 신정로 213(신정동)02-2086-7502http://www.geumok.hs.kr02-2086-7575여일반고N일반계<NA>후기주간1981011519810503B10서울특별시교육청서울특별시주간일반계인문사회과정20230615
144고등학교공립7010071금옥여자고등학교Geumok Girls High School서울특별시교육청8080서울특별시 양천구 신정로 213(신정동)02-2086-7502http://www.geumok.hs.kr02-2086-7575여일반고N일반계<NA>후기주간1981011519810503B10서울특별시교육청서울특별시주간일반계자연과정20230615