Overview

Dataset statistics

Number of variables28
Number of observations245
Missing cells294
Missing cells (%)4.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory55.2 KiB
Average record size in memory230.5 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
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-20514/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 (82.1%)Imbalance
특수목적고등학교계열명 has 245 (100.0%) missing valuesMissing
학과명 has 49 (20.0%) missing valuesMissing
특수목적고등학교계열명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-04 03:33:40.833113
Analysis finished2024-05-04 03:33:41.737815
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학교종류명
Categorical

Distinct5
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
고등학교
180 
초등학교
30 
중학교
 
18
각종학교(고)
 
16
특수학교
 
1

Length

Max length7
Median length4
Mean length4.122449
Min length3

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
고등학교 180
73.5%
초등학교 30
 
12.2%
중학교 18
 
7.3%
각종학교(고) 16
 
6.5%
특수학교 1
 
0.4%

Length

2024-05-04T03:33:41.879299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T03:33:42.167510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고등학교 180
73.5%
초등학교 30
 
12.2%
중학교 18
 
7.3%
각종학교(고 16
 
6.5%
특수학교 1
 
0.4%

설립구분
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
사립
179 
공립
66 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 179
73.1%
공립 66
 
26.9%

Length

2024-05-04T03:33:42.508701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T03:33:42.716024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 179
73.1%
공립 66
 
26.9%

표준학교코드
Real number (ℝ)

Distinct68
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7014864.3
Minimum7010139
Maximum7031285
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-05-04T03:33:42.928208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7010139
5-th percentile7010191
Q17010537
median7011207
Q37011508
95-th percentile7031198.8
Maximum7031285
Range21146
Interquartile range (IQR)971

Descriptive statistics

Standard deviation8078.2788
Coefficient of variation (CV)0.0011515945
Kurtosis0.36366573
Mean7014864.3
Median Absolute Deviation (MAD)397
Skewness1.5299715
Sum1.7186417 × 109
Variance65258589
MonotonicityDecreasing
2024-05-04T03:33:43.285737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7011508 26
 
10.6%
7010537 18
 
7.3%
7011316 17
 
6.9%
7011207 16
 
6.5%
7010191 16
 
6.5%
7010203 15
 
6.1%
7011490 14
 
5.7%
7010962 14
 
5.7%
7011315 12
 
4.9%
7010810 12
 
4.9%
Other values (58) 85
34.7%
ValueCountFrequency (%)
7010139 4
 
1.6%
7010153 4
 
1.6%
7010190 4
 
1.6%
7010191 16
6.5%
7010203 15
6.1%
7010219 4
 
1.6%
7010248 4
 
1.6%
7010537 18
7.3%
7010583 1
 
0.4%
7010810 12
4.9%
ValueCountFrequency (%)
7031285 1
0.4%
7031232 1
0.4%
7031230 1
0.4%
7031220 1
0.4%
7031218 1
0.4%
7031217 1
0.4%
7031210 1
0.4%
7031209 1
0.4%
7031208 1
0.4%
7031206 1
0.4%

학교명
Text

Distinct68
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-04T03:33:43.789707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.1918367
Min length5

Characters and Unicode

Total characters2007
Distinct characters79
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

Unique49 ?
Unique (%)20.0%

Sample

1st row서울어울초등학교
2nd row서울은빛초등학교
3rd row서울수리초등학교
4th row충암중학교
5th row진관중학교
ValueCountFrequency (%)
선일빅데이터고등학교 26
 
10.6%
세명컴퓨터고등학교 18
 
7.3%
신진과학기술고등학교 17
 
6.9%
선정고등학교 16
 
6.5%
은평문화예술정보학교 16
 
6.5%
숭실고등학교 15
 
6.1%
동명생활경영고등학교 14
 
5.7%
은평메디텍고등학교 14
 
5.7%
선정국제관광고등학교 12
 
4.9%
예일디자인고등학교 12
 
4.9%
Other values (58) 85
34.7%
2024-05-04T03:33:44.438005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 262
 
13.1%
교 245
 
12.2%
등 210
 
10.5%
고 180
 
9.0%
선 61
 
3.0%
일 50
 
2.5%
정 45
 
2.2%
터 44
 
2.2%
은 42
 
2.1%
명 37
 
1.8%
Other values (69) 831
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2007
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 262
 
13.1%
교 245
 
12.2%
등 210
 
10.5%
고 180
 
9.0%
선 61
 
3.0%
일 50
 
2.5%
정 45
 
2.2%
터 44
 
2.2%
은 42
 
2.1%
명 37
 
1.8%
Other values (69) 831
41.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2007
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 262
 
13.1%
교 245
 
12.2%
등 210
 
10.5%
고 180
 
9.0%
선 61
 
3.0%
일 50
 
2.5%
정 45
 
2.2%
터 44
 
2.2%
은 42
 
2.1%
명 37
 
1.8%
Other values (69) 831
41.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2007
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 262
 
13.1%
교 245
 
12.2%
등 210
 
10.5%
고 180
 
9.0%
선 61
 
3.0%
일 50
 
2.5%
정 45
 
2.2%
터 44
 
2.2%
은 42
 
2.1%
명 37
 
1.8%
Other values (69) 831
41.4%

영문학교명
Text

Distinct68
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-04T03:33:44.837878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length32
Mean length28.514286
Min length17

Characters and Unicode

Total characters6986
Distinct characters47
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

Unique49 ?
Unique (%)20.0%

Sample

1st rowSEOUL URWOOL Elementary School
2nd rowEUNVIT elementary school
3rd rowSeoul Suri Elementary School
4th rowChoongam Middle School
5th rowJingwan Middle School
ValueCountFrequency (%)
school 215
21.8%
high 151
 
15.3%
eunpyeong 37
 
3.8%
sunil 32
 
3.3%
seoul 30
 
3.0%
elementary 30
 
3.0%
sunjung 29
 
2.9%
highschool 26
 
2.6%
bigdata 26
 
2.6%
semyeong 18
 
1.8%
Other values (60) 390
39.6%
2024-05-04T03:33:45.694407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
739
 
10.6%
o 643
 
9.2%
n 418
 
6.0%
S 410
 
5.9%
l 369
 
5.3%
h 350
 
5.0%
e 339
 
4.9%
H 311
 
4.5%
g 308
 
4.4%
i 278
 
4.0%
Other values (37) 2821
40.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4201
60.1%
Uppercase Letter 2014
28.8%
Space Separator 739
 
10.6%
Other Punctuation 16
 
0.2%
Final Punctuation 13
 
0.2%
Dash Punctuation 2
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 643
15.3%
n 418
10.0%
l 369
8.8%
h 350
8.3%
e 339
 
8.1%
g 308
 
7.3%
i 278
 
6.6%
u 250
 
6.0%
c 214
 
5.1%
a 181
 
4.3%
Other values (12) 851
20.3%
Uppercase Letter
ValueCountFrequency (%)
S 410
20.4%
H 311
15.4%
I 185
9.2%
C 153
 
7.6%
O 138
 
6.9%
E 123
 
6.1%
G 109
 
5.4%
N 101
 
5.0%
L 94
 
4.7%
A 72
 
3.6%
Other values (10) 318
15.8%
Space Separator
ValueCountFrequency (%)
739
100.0%
Other Punctuation
ValueCountFrequency (%)
& 16
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6215
89.0%
Common 771
 
11.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 643
 
10.3%
n 418
 
6.7%
S 410
 
6.6%
l 369
 
5.9%
h 350
 
5.6%
e 339
 
5.5%
H 311
 
5.0%
g 308
 
5.0%
i 278
 
4.5%
u 250
 
4.0%
Other values (32) 2539
40.9%
Common
ValueCountFrequency (%)
739
95.8%
& 16
 
2.1%
’ 13
 
1.7%
- 2
 
0.3%
` 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6973
99.8%
Punctuation 13
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
739
 
10.6%
o 643
 
9.2%
n 418
 
6.0%
S 410
 
5.9%
l 369
 
5.3%
h 350
 
5.0%
e 339
 
4.9%
H 311
 
4.5%
g 308
 
4.4%
i 278
 
4.0%
Other values (36) 2808
40.3%
Punctuation
ValueCountFrequency (%)
’ 13
100.0%

관할조직명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
서울특별시교육청
197 
서울특별시서부교육지원청
48 

Length

Max length12
Median length8
Mean length8.7836735
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시교육청 197
80.4%
서울특별시서부교육지원청 48
 
19.6%

Length

2024-05-04T03:33:46.040977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T03:33:46.363583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 197
80.4%
서울특별시서부교육지원청 48
 
19.6%

도로명우편번호
Real number (ℝ)

Distinct44
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3377.898
Minimum3301
Maximum3496
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-05-04T03:33:46.692819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3301
5-th percentile3306
Q13322
median3348
Q33445
95-th percentile3470
Maximum3496
Range195
Interquartile range (IQR)123

Descriptive statistics

Standard deviation61.500115
Coefficient of variation (CV)0.018206623
Kurtosis-1.4664498
Mean3377.898
Median Absolute Deviation (MAD)42
Skewness0.34433037
Sum827585
Variance3782.2641
MonotonicityNot monotonic
2024-05-04T03:33:47.068040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
3322 37
15.1%
3327 29
11.8%
3453 18
 
7.3%
3337 18
 
7.3%
3390 18
 
7.3%
3412 18
 
7.3%
3470 17
 
6.9%
3445 16
 
6.5%
3306 14
 
5.7%
3429 6
 
2.4%
Other values (34) 54
22.0%
ValueCountFrequency (%)
3301 1
 
0.4%
3302 5
 
2.0%
3303 1
 
0.4%
3305 4
 
1.6%
3306 14
 
5.7%
3307 1
 
0.4%
3310 2
 
0.8%
3311 1
 
0.4%
3312 4
 
1.6%
3322 37
15.1%
ValueCountFrequency (%)
3496 1
 
0.4%
3493 2
 
0.8%
3489 1
 
0.4%
3481 6
 
2.4%
3476 1
 
0.4%
3475 1
 
0.4%
3470 17
6.9%
3453 18
7.3%
3447 1
 
0.4%
3445 16
6.5%

도로명주소
Text

Distinct55
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-04T03:33:47.587384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length18.681633
Min length16

Characters and Unicode

Total characters4577
Distinct characters48
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 (%)16.3%

Sample

1st row서울특별시 은평구 통일로 650
2nd row서울특별시 은평구 진관3로 73-17
3rd row서울특별시 은평구 불광로14길 10-10
4th row서울특별시 은평구 가좌로5길 5
5th row서울특별시 은평구 진관4로 36
ValueCountFrequency (%)
서울특별시 245
25.0%
은평구 245
25.0%
갈현로29길 37
 
3.8%
27 32
 
3.3%
서오릉로20길 29
 
3.0%
19 29
 
3.0%
연서로 23
 
2.3%
통일로 23
 
2.3%
가좌로 19
 
1.9%
16 18
 
1.8%
Other values (82) 280
28.6%
2024-05-04T03:33:48.507140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
735
16.1%
서 307
 
6.7%
평 282
 
6.2%
은 282
 
6.2%
구 245
 
5.4%
울 245
 
5.4%
시 245
 
5.4%
별 245
 
5.4%
특 245
 
5.4%
로 242
 
5.3%
Other values (38) 1504
32.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2931
64.0%
Decimal Number 876
 
19.1%
Space Separator 735
 
16.1%
Dash Punctuation 35
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 307
10.5%
평 282
9.6%
은 282
9.6%
구 245
8.4%
울 245
8.4%
시 245
8.4%
별 245
8.4%
특 245
8.4%
로 242
8.3%
길 151
 
5.2%
Other values (26) 442
15.1%
Decimal Number
ValueCountFrequency (%)
2 177
20.2%
1 135
15.4%
7 129
14.7%
9 110
12.6%
3 81
9.2%
5 72
8.2%
6 71
8.1%
0 59
 
6.7%
4 23
 
2.6%
8 19
 
2.2%
Space Separator
ValueCountFrequency (%)
735
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2931
64.0%
Common 1646
36.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 307
10.5%
평 282
9.6%
은 282
9.6%
구 245
8.4%
울 245
8.4%
시 245
8.4%
별 245
8.4%
특 245
8.4%
로 242
8.3%
길 151
 
5.2%
Other values (26) 442
15.1%
Common
ValueCountFrequency (%)
735
44.7%
2 177
 
10.8%
1 135
 
8.2%
7 129
 
7.8%
9 110
 
6.7%
3 81
 
4.9%
5 72
 
4.4%
6 71
 
4.3%
0 59
 
3.6%
- 35
 
2.1%
Other values (2) 42
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2931
64.0%
ASCII 1646
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
735
44.7%
2 177
 
10.8%
1 135
 
8.2%
7 129
 
7.8%
9 110
 
6.7%
3 81
 
4.9%
5 72
 
4.4%
6 71
 
4.3%
0 59
 
3.6%
- 35
 
2.1%
Other values (2) 42
 
2.6%
Hangul
ValueCountFrequency (%)
서 307
10.5%
평 282
9.6%
은 282
9.6%
구 245
8.4%
울 245
8.4%
시 245
8.4%
별 245
8.4%
특 245
8.4%
로 242
8.3%
길 151
 
5.2%
Other values (26) 442
15.1%

도로명상세주소
Text

Distinct53
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-04T03:33:48.871348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length13.946939
Min length5

Characters and Unicode

Total characters3417
Distinct characters83
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

Unique33 ?
Unique (%)13.5%

Sample

1st row/ 서울어울초등학교 (녹번동)
2nd row(진관동)
3rd row(불광동)
4th row(응암동)
5th row(진관동)
ValueCountFrequency (%)
135
25.0%
갈현동 67
12.4%
은평문화예술정보학교 32
 
5.9%
불광동 26
 
4.8%
선일빅데이터고등학교 26
 
4.8%
응암동 26
 
4.8%
구산동 21
 
3.9%
신사동 21
 
3.9%
세명컴퓨터고등학교 18
 
3.3%
진관동 18
 
3.3%
Other values (48) 150
27.8%
2024-05-04T03:33:49.476508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
295
 
8.6%
동 249
 
7.3%
) 245
 
7.2%
( 245
 
7.2%
학 215
 
6.3%
/ 203
 
5.9%
교 198
 
5.8%
등 139
 
4.1%
고 118
 
3.5%
현 69
 
2.0%
Other values (73) 1441
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2429
71.1%
Space Separator 295
 
8.6%
Close Punctuation 245
 
7.2%
Open Punctuation 245
 
7.2%
Other Punctuation 203
 
5.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 249
 
10.3%
학 215
 
8.9%
교 198
 
8.2%
등 139
 
5.7%
고 118
 
4.9%
현 69
 
2.8%
갈 68
 
2.8%
정 61
 
2.5%
선 57
 
2.3%
은 55
 
2.3%
Other values (69) 1200
49.4%
Space Separator
ValueCountFrequency (%)
295
100.0%
Close Punctuation
ValueCountFrequency (%)
) 245
100.0%
Open Punctuation
ValueCountFrequency (%)
( 245
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 203
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2429
71.1%
Common 988
28.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 249
 
10.3%
학 215
 
8.9%
교 198
 
8.2%
등 139
 
5.7%
고 118
 
4.9%
현 69
 
2.8%
갈 68
 
2.8%
정 61
 
2.5%
선 57
 
2.3%
은 55
 
2.3%
Other values (69) 1200
49.4%
Common
ValueCountFrequency (%)
295
29.9%
) 245
24.8%
( 245
24.8%
/ 203
20.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2429
71.1%
ASCII 988
28.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
295
29.9%
) 245
24.8%
( 245
24.8%
/ 203
20.5%
Hangul
ValueCountFrequency (%)
동 249
 
10.3%
학 215
 
8.9%
교 198
 
8.2%
등 139
 
5.7%
고 118
 
4.9%
현 69
 
2.8%
갈 68
 
2.8%
정 61
 
2.5%
선 57
 
2.3%
은 55
 
2.3%
Other values (69) 1200
49.4%

전화번호
Text

Distinct68
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-04T03:33:49.901345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length11.387755
Min length11

Characters and Unicode

Total characters2790
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)20.0%

Sample

1st row02-355-4921
2nd row02-388-4923
3rd row02-353-9400
4th row070-5002-8740
5th row02-383-5378/5379
ValueCountFrequency (%)
02-355-5648 26
 
10.6%
02-354-1323 18
 
7.3%
02-385-3451 17
 
6.9%
02-3156-1500 16
 
6.5%
02-3152-5700 16
 
6.5%
02-373-5910 15
 
6.1%
02-383-2628 14
 
5.7%
070-4020-6800 14
 
5.7%
02-3156-1600 12
 
4.9%
02-380-0855 12
 
4.9%
Other values (58) 85
34.7%
2024-05-04T03:33:50.942544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 533
19.1%
- 490
17.6%
2 357
12.8%
3 352
12.6%
5 333
11.9%
1 183
 
6.6%
8 171
 
6.1%
6 131
 
4.7%
4 101
 
3.6%
7 87
 
3.1%
Other values (2) 52
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2299
82.4%
Dash Punctuation 490
 
17.6%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 533
23.2%
2 357
15.5%
3 352
15.3%
5 333
14.5%
1 183
 
8.0%
8 171
 
7.4%
6 131
 
5.7%
4 101
 
4.4%
7 87
 
3.8%
9 51
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 490
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2790
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 533
19.1%
- 490
17.6%
2 357
12.8%
3 352
12.6%
5 333
11.9%
1 183
 
6.6%
8 171
 
6.1%
6 131
 
4.7%
4 101
 
3.6%
7 87
 
3.1%
Other values (2) 52
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2790
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 533
19.1%
- 490
17.6%
2 357
12.8%
3 352
12.6%
5 333
11.9%
1 183
 
6.6%
8 171
 
6.1%
6 131
 
4.7%
4 101
 
3.6%
7 87
 
3.1%
Other values (2) 52
 
1.9%

홈페이지주소
Text

Distinct68
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-04T03:33:51.532079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length22.771429
Min length7

Characters and Unicode

Total characters5579
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

Unique49 ?
Unique (%)20.0%

Sample

1st rowhttp://
2nd rowhttp://www.ev.es.kr
3rd rowhttp://www.suri.es.kr
4th rowhttps://choongam.sen.ms.kr/
5th rowhttp://jingwan.sen.ms.kr
ValueCountFrequency (%)
https://bigdata.sen.hs.kr 26
 
10.6%
http://www.smc.hs.kr 18
 
7.3%
http://shinjin.sen.hs.kr 17
 
6.9%
http://www.sunjung.hs.kr 16
 
6.5%
http://ep.sc.kr 16
 
6.5%
http://www.soongsil.net 15
 
6.1%
http://dmgcab.sen.hs.kr 14
 
5.7%
http://www.eunpyeong.hs.kr 14
 
5.7%
http://sjt.sen.hs.kr 12
 
4.9%
http://yaledesign.sen.hs.kr 12
 
4.9%
Other values (58) 85
34.7%
2024-05-04T03:33:52.599371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 698
12.5%
t 535
 
9.6%
s 529
 
9.5%
/ 527
 
9.4%
h 441
 
7.9%
n 344
 
6.2%
w 324
 
5.8%
p 278
 
5.0%
e 268
 
4.8%
: 241
 
4.3%
Other values (20) 1394
25.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4105
73.6%
Other Punctuation 1466
 
26.3%
Dash Punctuation 4
 
0.1%
Decimal Number 4
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 535
13.0%
s 529
12.9%
h 441
10.7%
n 344
8.4%
w 324
7.9%
p 278
 
6.8%
e 268
 
6.5%
k 235
 
5.7%
r 230
 
5.6%
g 136
 
3.3%
Other values (12) 785
19.1%
Decimal Number
ValueCountFrequency (%)
1 1
25.0%
9 1
25.0%
8 1
25.0%
5 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 698
47.6%
/ 527
35.9%
: 241
 
16.4%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4105
73.6%
Common 1474
 
26.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 535
13.0%
s 529
12.9%
h 441
10.7%
n 344
8.4%
w 324
7.9%
p 278
 
6.8%
e 268
 
6.5%
k 235
 
5.7%
r 230
 
5.6%
g 136
 
3.3%
Other values (12) 785
19.1%
Common
ValueCountFrequency (%)
. 698
47.4%
/ 527
35.8%
: 241
 
16.4%
- 4
 
0.3%
1 1
 
0.1%
9 1
 
0.1%
8 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5579
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 698
12.5%
t 535
 
9.6%
s 529
 
9.5%
/ 527
 
9.4%
h 441
 
7.9%
n 344
 
6.2%
w 324
 
5.8%
p 278
 
5.0%
e 268
 
4.8%
: 241
 
4.3%
Other values (20) 1394
25.0%

팩스번호
Text

Distinct68
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-04T03:33:53.138116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.106122
Min length11

Characters and Unicode

Total characters2721
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

Unique49 ?
Unique (%)20.0%

Sample

1st row02-358-4922
2nd row02-388-4925
3rd row02-353-9437
4th row02-303-3001
5th row02-383-3696
ValueCountFrequency (%)
02-354-0935 26
 
10.6%
02-388-1381 18
 
7.3%
02-383-3481 17
 
6.9%
02-355-2259 16
 
6.5%
02-3152-5740 16
 
6.5%
02-374-7166 15
 
6.1%
02-389-5011 14
 
5.7%
02-357-0836 14
 
5.7%
02-352-5073 12
 
4.9%
02-380-0880 12
 
4.9%
Other values (58) 85
34.7%
2024-05-04T03:33:53.954494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 490
18.0%
0 432
15.9%
3 388
14.3%
2 333
12.2%
5 251
9.2%
8 245
9.0%
1 152
 
5.6%
7 117
 
4.3%
6 109
 
4.0%
4 108
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2231
82.0%
Dash Punctuation 490
 
18.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 432
19.4%
3 388
17.4%
2 333
14.9%
5 251
11.3%
8 245
11.0%
1 152
 
6.8%
7 117
 
5.2%
6 109
 
4.9%
4 108
 
4.8%
9 96
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 490
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2721
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 490
18.0%
0 432
15.9%
3 388
14.3%
2 333
12.2%
5 251
9.2%
8 245
9.0%
1 152
 
5.6%
7 117
 
4.3%
6 109
 
4.0%
4 108
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2721
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 490
18.0%
0 432
15.9%
3 388
14.3%
2 333
12.2%
5 251
9.2%
8 245
9.0%
1 152
 
5.6%
7 117
 
4.3%
6 109
 
4.0%
4 108
 
4.0%

남녀공학구분명
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
남여공학
154 
여
66 
남
25 

Length

Max length4
Median length4
Mean length2.8857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남여공학 154
62.9%
여 66
26.9%
남 25
 
10.2%

Length

2024-05-04T03:33:54.218199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T03:33:54.405269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남여공학 154
62.9%
여 66
26.9%
남 25
 
10.2%

고등학교구분명
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
특성화고
113 
<NA>
65 
일반고
63 
자율고
 
4

Length

Max length4
Median length4
Mean length3.7265306
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 113
46.1%
<NA> 65
26.5%
일반고 63
25.7%
자율고 4
 
1.6%

Length

2024-05-04T03:33:54.697991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T03:33:55.016357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
특성화고 113
46.1%
na 65
26.5%
일반고 63
25.7%
자율고 4
 
1.6%

산업체특별학급존재여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size377.0 B
False
245 
ValueCountFrequency (%)
False 245
100.0%
2024-05-04T03:33:55.183393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

고등학교일반실업구분명
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
전문계
129 
일반계
103 
해당없음
13 

Length

Max length4
Median length3
Mean length3.0530612
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전문계 129
52.7%
일반계 103
42.0%
해당없음 13
 
5.3%

Length

2024-05-04T03:33:55.357157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T03:33:55.648867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전문계 129
52.7%
일반계 103
42.0%
해당없음 13
 
5.3%

특수목적고등학교계열명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing245
Missing (%)100.0%
Memory size2.3 KiB

입시전후기구분명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
전기
185 
후기
60 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전기 185
75.5%
후기 60
 
24.5%

Length

2024-05-04T03:33:56.059360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T03:33:56.400068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전기 185
75.5%
후기 60
 
24.5%

주야구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
주간
245 

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 245
100.0%

Length

2024-05-04T03:33:56.676764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T03:33:56.928196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주간 245
100.0%

설립일자
Real number (ℝ)

Distinct59
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19715943
Minimum18971010
Maximum20180901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-05-04T03:33:57.236650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18971010
5-th percentile18971010
Q119650926
median19740429
Q319930926
95-th percentile20131226
Maximum20180901
Range1209891
Interquartile range (IQR)280000

Descriptive statistics

Standard deviation309253.83
Coefficient of variation (CV)0.015685469
Kurtosis0.32691631
Mean19715943
Median Absolute Deviation (MAD)139773
Skewness-0.88829413
Sum4.8304061 × 109
Variance9.5637929 × 1010
MonotonicityNot monotonic
2024-05-04T03:33:57.605040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19850108 26
 
10.6%
19210603 18
 
7.3%
19740429 18
 
7.3%
19500522 17
 
6.9%
19700130 17
 
6.9%
20131226 16
 
6.5%
18971010 16
 
6.5%
19700302 14
 
5.7%
19941005 12
 
4.9%
19930926 12
 
4.9%
Other values (49) 79
32.2%
ValueCountFrequency (%)
18971010 16
6.5%
19210603 18
7.3%
19281201 1
 
0.4%
19310401 1
 
0.4%
19350401 1
 
0.4%
19500522 17
6.9%
19520610 1
 
0.4%
19620418 1
 
0.4%
19621112 1
 
0.4%
19650201 1
 
0.4%
ValueCountFrequency (%)
20180901 1
 
0.4%
20131226 16
6.5%
20110301 5
 
2.0%
20110113 1
 
0.4%
20100301 1
 
0.4%
20090821 4
 
1.6%
20090301 4
 
1.6%
20090102 4
 
1.6%
20081231 2
 
0.8%
20080901 2
 
0.8%

개교기념일
Real number (ℝ)

Distinct59
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19707909
Minimum18971010
Maximum20181031
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-05-04T03:33:58.033547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18971010
5-th percentile18971010
Q119500522
median19740429
Q319910807
95-th percentile20140301
Maximum20181031
Range1210021
Interquartile range (IQR)410285

Descriptive statistics

Standard deviation313783.84
Coefficient of variation (CV)0.015921721
Kurtosis0.091973971
Mean19707909
Median Absolute Deviation (MAD)170378
Skewness-0.77466562
Sum4.8284378 × 109
Variance9.8460297 × 1010
MonotonicityNot monotonic
2024-05-04T03:33:58.488981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19500522 29
 
11.8%
19850311 26
 
10.6%
19210603 18
 
7.3%
19740429 18
 
7.3%
19700316 17
 
6.9%
18971010 16
 
6.5%
20140301 16
 
6.5%
19910807 14
 
5.7%
19930926 12
 
4.9%
19650926 6
 
2.4%
Other values (49) 73
29.8%
ValueCountFrequency (%)
18971010 16
6.5%
19210603 18
7.3%
19281201 1
 
0.4%
19310401 1
 
0.4%
19350401 1
 
0.4%
19500522 29
11.8%
19520610 1
 
0.4%
19620418 1
 
0.4%
19621112 1
 
0.4%
19650907 1
 
0.4%
ValueCountFrequency (%)
20181031 1
 
0.4%
20180501 1
 
0.4%
20140301 16
6.5%
20110509 1
 
0.4%
20110301 5
 
2.0%
20100519 1
 
0.4%
20091031 4
 
1.6%
20090604 4
 
1.6%
20090430 1
 
0.4%
20090427 1
 
0.4%

시도교육청코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
B10
245 

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 245
100.0%

Length

2024-05-04T03:33:58.945073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T03:33:59.227984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
b10 245
100.0%

시도교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
서울특별시교육청
245 

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 245
100.0%

Length

2024-05-04T03:33:59.564995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T03:33:59.857300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 245
100.0%

소재지명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
서울특별시
245 

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 245
100.0%

Length

2024-05-04T03:34:00.143494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T03:34:00.313803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 245
100.0%

주야과정
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
주간
196 
<NA>
49 

Length

Max length4
Median length2
Mean length2.4
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 196
80.0%
<NA> 49
 
20.0%

Length

2024-05-04T03:34:00.642214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T03:34:00.917804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주간 196
80.0%
na 49
 
20.0%

계열명
Categorical

Distinct7
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
특성화
68 
일반계
67 
<NA>
49 
공업계
31 
통합계
16 
Other values (2)
14 

Length

Max length4
Median length3
Mean length3.2
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 (%)
특성화 68
27.8%
일반계 67
27.3%
<NA> 49
20.0%
공업계 31
12.7%
통합계 16
 
6.5%
상업계 9
 
3.7%
가사계 5
 
2.0%

Length

2024-05-04T03:34:01.108562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T03:34:01.459323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
특성화 68
27.8%
일반계 67
27.3%
na 49
20.0%
공업계 31
12.7%
통합계 16
 
6.5%
상업계 9
 
3.7%
가사계 5
 
2.0%

학과명
Text

MISSING 

Distinct130
Distinct (%)66.3%
Missing49
Missing (%)20.0%
Memory size2.0 KiB
2024-05-04T03:34:01.845390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length5.7806122
Min length3

Characters and Unicode

Total characters1133
Distinct characters174
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)54.1%

Sample

1st row웹툰일러스트과
2nd rowe-biz 경영과
3rd rowe-biz 쇼핑몰과
4th rowe-biz 콘텐츠과
5th row공통과정
ValueCountFrequency (%)
공통과정 12
 
5.9%
인문사회과정 11
 
5.4%
일반학과 11
 
5.4%
자연과정 11
 
5.4%
웹디자인과 3
 
1.5%
정보처리과 3
 
1.5%
기계과 3
 
1.5%
상업과 3
 
1.5%
이-비즈 3
 
1.5%
e-biz 3
 
1.5%
Other values (119) 139
68.8%
2024-05-04T03:34:02.705081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 195
 
17.2%
자 49
 
4.3%
정 49
 
4.3%
인 35
 
3.1%
디 29
 
2.6%
전 23
 
2.0%
공 23
 
2.0%
어 22
 
1.9%
통 17
 
1.5%
스 16
 
1.4%
Other values (164) 675
59.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1094
96.6%
Lowercase Letter 13
 
1.1%
Uppercase Letter 7
 
0.6%
Dash Punctuation 6
 
0.5%
Space Separator 6
 
0.5%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%
Other Punctuation 2
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 195
 
17.8%
자 49
 
4.5%
정 49
 
4.5%
인 35
 
3.2%
디 29
 
2.7%
전 23
 
2.1%
공 23
 
2.1%
어 22
 
2.0%
통 17
 
1.6%
스 16
 
1.5%
Other values (147) 636
58.1%
Uppercase Letter
ValueCountFrequency (%)
T 2
28.6%
S 1
14.3%
M 1
14.3%
O 1
14.3%
I 1
14.3%
D 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
e 4
30.8%
i 3
23.1%
b 3
23.1%
z 3
23.1%
Other Punctuation
ValueCountFrequency (%)
＆ 1
50.0%
? 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1094
96.6%
Latin 20
 
1.8%
Common 19
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 195
 
17.8%
자 49
 
4.5%
정 49
 
4.5%
인 35
 
3.2%
디 29
 
2.7%
전 23
 
2.1%
공 23
 
2.1%
어 22
 
2.0%
통 17
 
1.6%
스 16
 
1.5%
Other values (147) 636
58.1%
Latin
ValueCountFrequency (%)
e 4
20.0%
i 3
15.0%
b 3
15.0%
z 3
15.0%
T 2
10.0%
S 1
 
5.0%
M 1
 
5.0%
O 1
 
5.0%
I 1
 
5.0%
D 1
 
5.0%
Common
ValueCountFrequency (%)
- 6
31.6%
6
31.6%
( 2
 
10.5%
) 2
 
10.5%
＆ 1
 
5.3%
3 1
 
5.3%
? 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1094
96.6%
ASCII 38
 
3.4%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 195
 
17.8%
자 49
 
4.5%
정 49
 
4.5%
인 35
 
3.2%
디 29
 
2.7%
전 23
 
2.1%
공 23
 
2.1%
어 22
 
2.0%
통 17
 
1.6%
스 16
 
1.5%
Other values (147) 636
58.1%
ASCII
ValueCountFrequency (%)
- 6
15.8%
6
15.8%
e 4
10.5%
i 3
7.9%
b 3
7.9%
z 3
7.9%
T 2
 
5.3%
( 2
 
5.3%
) 2
 
5.3%
S 1
 
2.6%
Other values (6) 6
15.8%
None
ValueCountFrequency (%)
＆ 1
100.0%

적재일시
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
20230615
231 
20240324
 
12
20230624
 
1
20230627
 
1

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
20230615 231
94.3%
20240324 12
 
4.9%
20230624 1
 
0.4%
20230627 1
 
0.4%

Length

2024-05-04T03:34:02.943731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T03:34:03.114402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20230615 231
94.3%
20240324 12
 
4.9%
20230624 1
 
0.4%
20230627 1
 
0.4%

Sample

학교종류명설립구분표준학교코드학교명영문학교명관할조직명도로명우편번호도로명주소도로명상세주소전화번호홈페이지주소팩스번호남녀공학구분명고등학교구분명산업체특별학급존재여부고등학교일반실업구분명특수목적고등학교계열명입시전후기구분명주야구분명설립일자개교기념일시도교육청코드시도교육청명소재지명주야과정계열명학과명적재일시
0초등학교공립7031285서울어울초등학교SEOUL URWOOL Elementary School서울특별시서부교육지원청3370서울특별시 은평구 통일로 650/ 서울어울초등학교 (녹번동)02-355-4921http://02-358-4922남여공학<NA>N해당없음<NA>후기주간2018090120181031B10서울특별시교육청서울특별시<NA><NA><NA>20230615
1초등학교공립7031232서울은빛초등학교EUNVIT elementary school서울특별시서부교육지원청3301서울특별시 은평구 진관3로 73-17(진관동)02-388-4923http://www.ev.es.kr02-388-4925남여공학<NA>N해당없음<NA>전기주간2011011320110509B10서울특별시교육청서울특별시<NA><NA><NA>20230615
2초등학교공립7031230서울수리초등학교Seoul Suri Elementary School서울특별시서부교육지원청3362서울특별시 은평구 불광로14길 10-10(불광동)02-353-9400http://www.suri.es.kr02-353-9437남여공학<NA>N해당없음<NA>전기주간2011030120110301B10서울특별시교육청서울특별시<NA><NA><NA>20230615
3중학교사립7031220충암중학교Choongam Middle School서울특별시서부교육지원청3481서울특별시 은평구 가좌로5길 5(응암동)070-5002-8740https://choongam.sen.ms.kr/02-303-3001남여공학<NA>N일반계<NA>전기주간1965020119660301B10서울특별시교육청서울특별시<NA><NA><NA>20230615
4중학교공립7031218진관중학교Jingwan Middle School서울특별시서부교육지원청3302서울특별시 은평구 진관4로 36(진관동)02-383-5378/5379http://jingwan.sen.ms.kr02-383-3696남여공학<NA>N해당없음<NA>전기주간2008090120180501B10서울특별시교육청서울특별시<NA><NA><NA>20230615
5중학교공립7031217증산중학교Jeungsan Middle School서울특별시서부교육지원청3493서울특별시 은평구 증산로5길 27-30/ 증산중학교 (증산동)02-303-9294http://www.jeungsan.ms.kr02-376-3496남여공학<NA>N일반계<NA>전기주간1986012919860417B10서울특별시교육청서울특별시<NA><NA><NA>20230615
6중학교공립7031210은평중학교Eunpyeong Middle School서울특별시서부교육지원청3429서울특별시 은평구 갈현로17나길 12-1(구산동)02-382-3545http://www.eunpyeong.ms.kr02-382-3547남여공학<NA>N일반계<NA>전기주간1984010919840504B10서울특별시교육청서울특별시<NA><NA><NA>20230615
7중학교사립7031209예일여자중학교Yale Girls` Junior High school서울특별시서부교육지원청3412서울특별시 은평구 연서로 117(구산동)02-380-0905https://yale.sen.ms.kr/02-380-0988여<NA>N일반계<NA>전기주간1965092619650926B10서울특별시교육청서울특별시<NA><NA><NA>20230615
8중학교사립7031208영락중학교Youngnak Middle School서울특별시서부교육지원청3475서울특별시 은평구 백련산로 134-6/ 영락중학교 (응암동)02-388-4033http://yn.sen.ms.kr02-388-5497남여공학<NA>N일반계<NA>전기주간1952061019520610B10서울특별시교육청서울특별시<NA><NA><NA>20230615
9중학교공립7031206연천중학교Yeoncheon Middle School서울특별시서부교육지원청3338서울특별시 은평구 연서로41길 30(불광동)02-354-0514http://yonchon.sen.ms.kr02-389-7601남여공학<NA>N일반계<NA>전기주간1984010919840504B10서울특별시교육청서울특별시<NA><NA><NA>20230615
학교종류명설립구분표준학교코드학교명영문학교명관할조직명도로명우편번호도로명주소도로명상세주소전화번호홈페이지주소팩스번호남녀공학구분명고등학교구분명산업체특별학급존재여부고등학교일반실업구분명특수목적고등학교계열명입시전후기구분명주야구분명설립일자개교기념일시도교육청코드시도교육청명소재지명주야과정계열명학과명적재일시
235고등학교사립7010190선일여자고등학교Sunil Girls’ High School서울특별시교육청3322서울특별시 은평구 갈현로29길 27(갈현동)02-355-5649http://sunil.sen.hs.kr02-388-1698여일반고N일반계<NA>후기주간1971122719711227B10서울특별시교육청서울특별시주간일반계일반학과20230615
236고등학교사립7010190선일여자고등학교Sunil Girls’ High School서울특별시교육청3322서울특별시 은평구 갈현로29길 27(갈현동)02-355-5649http://sunil.sen.hs.kr02-388-1698여일반고N일반계<NA>후기주간1971122719711227B10서울특별시교육청서울특별시주간일반계공통과정20230615
237고등학교사립7010153동명여자고등학교Dongmyung Girls’ High School서울특별시교육청3390서울특별시 은평구 통일로 793(대조동/동명여자고등학교)02-385-0652http://dongmyung.sen.hs.kr02-356-4706여일반고N일반계<NA>후기주간1921060319210603B10서울특별시교육청서울특별시주간일반계인문사회과정20230615
238고등학교사립7010153동명여자고등학교Dongmyung Girls’ High School서울특별시교육청3390서울특별시 은평구 통일로 793(대조동/동명여자고등학교)02-385-0652http://dongmyung.sen.hs.kr02-356-4706여일반고N일반계<NA>후기주간1921060319210603B10서울특별시교육청서울특별시주간일반계자연과정20230615
239고등학교사립7010153동명여자고등학교Dongmyung Girls’ High School서울특별시교육청3390서울특별시 은평구 통일로 793(대조동/동명여자고등학교)02-385-0652http://dongmyung.sen.hs.kr02-356-4706여일반고N일반계<NA>후기주간1921060319210603B10서울특별시교육청서울특별시주간일반계일반학과20230615
240고등학교사립7010153동명여자고등학교Dongmyung Girls’ High School서울특별시교육청3390서울특별시 은평구 통일로 793(대조동/동명여자고등학교)02-385-0652http://dongmyung.sen.hs.kr02-356-4706여일반고N일반계<NA>후기주간1921060319210603B10서울특별시교육청서울특별시주간일반계공통과정20230615
241고등학교사립7010139대성고등학교Daesung High School서울특별시교육청3322서울특별시 은평구 갈현로29길 51-24/ 대성고등학교 (갈현동)02-6252-1000http://dae-sung.sen.hs.kr02-386-2536남일반고N일반계<NA>전기주간1969010919691016B10서울특별시교육청서울특별시주간일반계인문사회과정20230615
242고등학교사립7010139대성고등학교Daesung High School서울특별시교육청3322서울특별시 은평구 갈현로29길 51-24/ 대성고등학교 (갈현동)02-6252-1000http://dae-sung.sen.hs.kr02-386-2536남일반고N일반계<NA>전기주간1969010919691016B10서울특별시교육청서울특별시주간일반계자연과정20230615
243고등학교사립7010139대성고등학교Daesung High School서울특별시교육청3322서울특별시 은평구 갈현로29길 51-24/ 대성고등학교 (갈현동)02-6252-1000http://dae-sung.sen.hs.kr02-386-2536남일반고N일반계<NA>전기주간1969010919691016B10서울특별시교육청서울특별시주간일반계일반학과20230615
244고등학교사립7010139대성고등학교Daesung High School서울특별시교육청3322서울특별시 은평구 갈현로29길 51-24/ 대성고등학교 (갈현동)02-6252-1000http://dae-sung.sen.hs.kr02-386-2536남일반고N일반계<NA>전기주간1969010919691016B10서울특별시교육청서울특별시주간일반계공통과정20230615