Overview

Dataset statistics

Number of variables28
Number of observations254
Missing cells59
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory56.9 KiB
Average record size in memory229.5 B

Variable types

Categorical14
Numeric5
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
Author한국교육학술정보원
URLhttps://data.seoul.go.kr/dataList/OA-20518/S/1/datasetView.do

Alerts

산업체특별학급존재여부 has constant value ""Constant
주야구분명 has constant value ""Constant
시도교육청코드 has constant value ""Constant
시도교육청명 has constant value ""Constant
소재지명 has constant value ""Constant
특수목적고등학교계열명 is highly imbalanced (67.6%)Imbalance
학과명 has 59 (23.2%) missing valuesMissing

Reproduction

Analysis started2024-05-03 21:40:28.980246
Analysis finished2024-05-03 21:40:30.067491
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학교종류명
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
고등학교
195 
초등학교
35 
중학교
22 
특수학교
 
2

Length

Max length4
Median length4
Mean length3.9133858
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고등학교 195
76.8%
초등학교 35
 
13.8%
중학교 22
 
8.7%
특수학교 2
 
0.8%

Length

2024-05-03T21:40:30.258506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:40:30.813408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고등학교 195
76.8%
초등학교 35
 
13.8%
중학교 22
 
8.7%
특수학교 2
 
0.8%

설립구분
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
사립
177 
공립
77 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 177
69.7%
공립 77
30.3%

Length

2024-05-03T21:40:31.171021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:40:31.442365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 177
69.7%
공립 77
30.3%

표준학교코드
Real number (ℝ)

Distinct82
Distinct (%)32.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7026568.8
Minimum7010064
Maximum7081540
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-03T21:40:31.778156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7010064
5-th percentile7010144
Q17010251
median7010965
Q37011492
95-th percentile7081498.3
Maximum7081540
Range71476
Interquartile range (IQR)1241

Descriptive statistics

Standard deviation29594.261
Coefficient of variation (CV)0.0042117656
Kurtosis-0.23652748
Mean7026568.8
Median Absolute Deviation (MAD)697.5
Skewness1.3281555
Sum1.7847485 × 109
Variance8.7582027 × 108
MonotonicityDecreasing
2024-05-03T21:40:32.216628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7011492 25
 
9.8%
7011311 23
 
9.1%
7011089 18
 
7.1%
7010150 17
 
6.7%
7010270 16
 
6.3%
7010356 16
 
6.3%
7010835 11
 
4.3%
7010965 10
 
3.9%
7010251 7
 
2.8%
7010122 7
 
2.8%
Other values (72) 104
40.9%
ValueCountFrequency (%)
7010064 4
 
1.6%
7010122 7
2.8%
7010144 4
 
1.6%
7010149 4
 
1.6%
7010150 17
6.7%
7010157 4
 
1.6%
7010158 4
 
1.6%
7010159 4
 
1.6%
7010160 6
 
2.4%
7010216 4
 
1.6%
ValueCountFrequency (%)
7081540 1
0.4%
7081524 1
0.4%
7081521 1
0.4%
7081519 1
0.4%
7081518 1
0.4%
7081517 1
0.4%
7081516 1
0.4%
7081515 1
0.4%
7081514 1
0.4%
7081512 1
0.4%

학교명
Text

Distinct82
Distinct (%)32.3%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-05-03T21:40:32.789605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length8.0354331
Min length4

Characters and Unicode

Total characters2041
Distinct characters72
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

Unique62 ?
Unique (%)24.4%

Sample

1st row마곡하늬중학교
2nd row화곡중학교
3rd row신정여자중학교
4th row명덕여자중학교
5th row마포중학교
ValueCountFrequency (%)
서울신정고등학교 25
 
9.8%
서울항공비즈니스고등학교 23
 
9.1%
화곡보건경영고등학교 18
 
7.1%
덕원예술고등학교 17
 
6.7%
영등포공업고등학교 16
 
6.3%
강서공업고등학교 16
 
6.3%
경복비즈니스고등학교 11
 
4.3%
동양고등학교 10
 
3.9%
경복여자고등학교 7
 
2.8%
한광고등학교 7
 
2.8%
Other values (72) 104
40.9%
2024-05-03T21:40:34.254739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
등 257
 
12.6%
교 255
 
12.5%
학 254
 
12.4%
고 195
 
9.6%
서 103
 
5.0%
울 83
 
4.1%
공 62
 
3.0%
경 39
 
1.9%
영 38
 
1.9%
덕 37
 
1.8%
Other values (62) 718
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2041
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
등 257
 
12.6%
교 255
 
12.5%
학 254
 
12.4%
고 195
 
9.6%
서 103
 
5.0%
울 83
 
4.1%
공 62
 
3.0%
경 39
 
1.9%
영 38
 
1.9%
덕 37
 
1.8%
Other values (62) 718
35.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2041
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
등 257
 
12.6%
교 255
 
12.5%
학 254
 
12.4%
고 195
 
9.6%
서 103
 
5.0%
울 83
 
4.1%
공 62
 
3.0%
경 39
 
1.9%
영 38
 
1.9%
덕 37
 
1.8%
Other values (62) 718
35.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2041
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
등 257
 
12.6%
교 255
 
12.5%
학 254
 
12.4%
고 195
 
9.6%
서 103
 
5.0%
울 83
 
4.1%
공 62
 
3.0%
경 39
 
1.9%
영 38
 
1.9%
덕 37
 
1.8%
Other values (62) 718
35.2%

영문학교명
Text

Distinct82
Distinct (%)32.3%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-05-03T21:40:35.376704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33.5
Mean length27.46063
Min length10

Characters and Unicode

Total characters6975
Distinct characters46
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

Unique62 ?
Unique (%)24.4%

Sample

1st rowMagokHanui
2nd rowHwagok Middle School
3rd rowShin Jeung Girls’ Middle School
4th rowMyungduk Girls’ Middle School
5th rowMapo Middle School
ValueCountFrequency (%)
school 252
25.0%
high 195
19.3%
seoul 83
 
8.2%
business 52
 
5.2%
elementary 35
 
3.5%
technical 32
 
3.2%
shinjeong 25
 
2.5%
hwagok 24
 
2.4%
aero 23
 
2.3%
deokwon 22
 
2.2%
Other values (71) 266
26.4%
2024-05-03T21:40:36.548663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 763
 
10.9%
756
 
10.8%
h 478
 
6.9%
S 447
 
6.4%
g 432
 
6.2%
n 415
 
5.9%
l 407
 
5.8%
e 371
 
5.3%
i 337
 
4.8%
c 298
 
4.3%
Other values (36) 2271
32.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4652
66.7%
Uppercase Letter 1548
 
22.2%
Space Separator 756
 
10.8%
Final Punctuation 17
 
0.2%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 447
28.9%
H 277
17.9%
E 104
 
6.7%
O 92
 
5.9%
D 63
 
4.1%
G 62
 
4.0%
A 58
 
3.7%
B 58
 
3.7%
L 52
 
3.4%
U 47
 
3.0%
Other values (12) 288
18.6%
Lowercase Letter
ValueCountFrequency (%)
o 763
16.4%
h 478
10.3%
g 432
9.3%
n 415
8.9%
l 407
8.7%
e 371
8.0%
i 337
7.2%
c 298
 
6.4%
u 205
 
4.4%
a 193
 
4.1%
Other values (11) 753
16.2%
Space Separator
ValueCountFrequency (%)
756
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6200
88.9%
Common 775
 
11.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 763
 
12.3%
h 478
 
7.7%
S 447
 
7.2%
g 432
 
7.0%
n 415
 
6.7%
l 407
 
6.6%
e 371
 
6.0%
i 337
 
5.4%
c 298
 
4.8%
H 277
 
4.5%
Other values (33) 1975
31.9%
Common
ValueCountFrequency (%)
756
97.5%
’ 17
 
2.2%
- 2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6958
99.8%
Punctuation 17
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 763
 
11.0%
756
 
10.9%
h 478
 
6.9%
S 447
 
6.4%
g 432
 
6.2%
n 415
 
6.0%
l 407
 
5.8%
e 371
 
5.3%
i 337
 
4.8%
c 298
 
4.3%
Other values (35) 2254
32.4%
Punctuation
ValueCountFrequency (%)
’ 17
100.0%

관할조직명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
서울특별시교육청
197 
서울특별시강서양천교육지원청
57 

Length

Max length14
Median length8
Mean length9.3464567
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시교육청 197
77.6%
서울특별시강서양천교육지원청 57
 
22.4%

Length

2024-05-03T21:40:37.045413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:40:37.556985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 197
77.6%
서울특별시강서양천교육지원청 57
 
22.4%

도로명우편번호
Real number (ℝ)

Distinct54
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7617.752
Minimum7507
Maximum7810
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-03T21:40:38.219673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7507
5-th percentile7514
Q17576
median7630.5
Q37640
95-th percentile7736
Maximum7810
Range303
Interquartile range (IQR)64

Descriptive statistics

Standard deviation72.957332
Coefficient of variation (CV)0.0095772784
Kurtosis-0.57811291
Mean7617.752
Median Absolute Deviation (MAD)41.5
Skewness0.34921879
Sum1934909
Variance5322.7722
MonotonicityNot monotonic
2024-05-03T21:40:38.681958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7597 27
 
10.6%
7640 27
 
10.6%
7736 26
 
10.2%
7638 19
 
7.5%
7589 18
 
7.1%
7514 17
 
6.7%
7633 16
 
6.3%
7524 16
 
6.3%
7529 11
 
4.3%
7576 7
 
2.8%
Other values (44) 70
27.6%
ValueCountFrequency (%)
7507 2
 
0.8%
7508 2
 
0.8%
7514 17
6.7%
7515 1
 
0.4%
7518 1
 
0.4%
7523 1
 
0.4%
7524 16
6.3%
7525 1
 
0.4%
7527 1
 
0.4%
7529 11
4.3%
ValueCountFrequency (%)
7810 2
 
0.8%
7798 1
 
0.4%
7764 1
 
0.4%
7761 1
 
0.4%
7746 1
 
0.4%
7736 26
10.2%
7732 7
 
2.8%
7731 1
 
0.4%
7725 1
 
0.4%
7722 1
 
0.4%

도로명주소
Text

Distinct74
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-05-03T21:40:39.545270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length19.295276
Min length14

Characters and Unicode

Total characters4901
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

Unique57 ?
Unique (%)22.4%

Sample

1st row서울특별시 강서구 마곡서1로 16
2nd row서울특별시 강서구 강서로45길 70
3rd row서울특별시 강서구 등촌로13아길 20
4th row서울특별시 강서구 강서로47길 34-10
5th row서울특별시 강서구 화곡로 403
ValueCountFrequency (%)
강서구 254
25.0%
서울특별시 253
24.9%
강서로45길 46
 
4.5%
방화대로34길 28
 
2.8%
등촌로13아길 26
 
2.6%
20 26
 
2.6%
13 23
 
2.3%
91-44 22
 
2.2%
70 20
 
2.0%
15 20
 
2.0%
Other values (107) 298
29.3%
2024-05-03T21:40:40.944436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
762
15.5%
서 577
 
11.8%
강 320
 
6.5%
울 254
 
5.2%
구 254
 
5.2%
로 254
 
5.2%
시 253
 
5.2%
별 253
 
5.2%
특 253
 
5.2%
길 203
 
4.1%
Other values (51) 1518
31.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3100
63.3%
Decimal Number 999
 
20.4%
Space Separator 762
 
15.5%
Dash Punctuation 40
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 577
18.6%
강 320
10.3%
울 254
8.2%
구 254
8.2%
로 254
8.2%
시 253
8.2%
별 253
8.2%
특 253
8.2%
길 203
 
6.5%
화 80
 
2.6%
Other values (39) 399
12.9%
Decimal Number
ValueCountFrequency (%)
4 198
19.8%
1 171
17.1%
3 151
15.1%
5 118
11.8%
0 101
10.1%
7 74
 
7.4%
9 69
 
6.9%
2 63
 
6.3%
6 39
 
3.9%
8 15
 
1.5%
Space Separator
ValueCountFrequency (%)
762
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3100
63.3%
Common 1801
36.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 577
18.6%
강 320
10.3%
울 254
8.2%
구 254
8.2%
로 254
8.2%
시 253
8.2%
별 253
8.2%
특 253
8.2%
길 203
 
6.5%
화 80
 
2.6%
Other values (39) 399
12.9%
Common
ValueCountFrequency (%)
762
42.3%
4 198
 
11.0%
1 171
 
9.5%
3 151
 
8.4%
5 118
 
6.6%
0 101
 
5.6%
7 74
 
4.1%
9 69
 
3.8%
2 63
 
3.5%
- 40
 
2.2%
Other values (2) 54
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3100
63.3%
ASCII 1801
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
762
42.3%
4 198
 
11.0%
1 171
 
9.5%
3 151
 
8.4%
5 118
 
6.6%
0 101
 
5.6%
7 74
 
4.1%
9 69
 
3.8%
2 63
 
3.5%
- 40
 
2.2%
Other values (2) 54
 
3.0%
Hangul
ValueCountFrequency (%)
서 577
18.6%
강 320
10.3%
울 254
8.2%
구 254
8.2%
로 254
8.2%
시 253
8.2%
별 253
8.2%
특 253
8.2%
길 203
 
6.5%
화 80
 
2.6%
Other values (39) 399
12.9%

도로명상세주소
Text

Distinct71
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-05-03T21:40:41.549288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length11.870079
Min length5

Characters and Unicode

Total characters3015
Distinct characters78
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

Unique51 ?
Unique (%)20.1%

Sample

1st row(마곡동)
2nd row(내발산동/화곡중학교)
3rd row신정여자중학교
4th row(내발산동)
5th row/ 마포중학교 (전화 02-3663-2587)
ValueCountFrequency (%)
52
12.8%
내발산동 49
12.0%
화곡동 34
 
8.4%
등촌동 28
 
6.9%
방화동 27
 
6.6%
서울신정고등학교 25
 
6.1%
가양동 19
 
4.7%
화곡보건경영고등학교 18
 
4.4%
덕원예술고등학교 17
 
4.2%
방화동/강서공업고등학교 16
 
3.9%
Other values (68) 122
30.0%
2024-05-03T21:40:42.905607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 262
 
8.7%
( 251
 
8.3%
) 251
 
8.3%
등 221
 
7.3%
교 186
 
6.2%
학 185
 
6.1%
/ 184
 
6.1%
153
 
5.1%
고 135
 
4.5%
화 119
 
3.9%
Other values (68) 1068
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2159
71.6%
Open Punctuation 251
 
8.3%
Close Punctuation 251
 
8.3%
Other Punctuation 184
 
6.1%
Space Separator 153
 
5.1%
Decimal Number 14
 
0.5%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 262
 
12.1%
등 221
 
10.2%
교 186
 
8.6%
학 185
 
8.6%
고 135
 
6.3%
화 119
 
5.5%
곡 77
 
3.6%
산 72
 
3.3%
발 71
 
3.3%
내 70
 
3.2%
Other values (54) 761
35.2%
Decimal Number
ValueCountFrequency (%)
2 3
21.4%
6 2
14.3%
7 2
14.3%
3 2
14.3%
0 1
 
7.1%
5 1
 
7.1%
9 1
 
7.1%
4 1
 
7.1%
8 1
 
7.1%
Open Punctuation
ValueCountFrequency (%)
( 251
100.0%
Close Punctuation
ValueCountFrequency (%)
) 251
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 184
100.0%
Space Separator
ValueCountFrequency (%)
153
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2159
71.6%
Common 856
 
28.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 262
 
12.1%
등 221
 
10.2%
교 186
 
8.6%
학 185
 
8.6%
고 135
 
6.3%
화 119
 
5.5%
곡 77
 
3.6%
산 72
 
3.3%
발 71
 
3.3%
내 70
 
3.2%
Other values (54) 761
35.2%
Common
ValueCountFrequency (%)
( 251
29.3%
) 251
29.3%
/ 184
21.5%
153
17.9%
- 3
 
0.4%
2 3
 
0.4%
6 2
 
0.2%
7 2
 
0.2%
3 2
 
0.2%
0 1
 
0.1%
Other values (4) 4
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2159
71.6%
ASCII 856
 
28.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 262
 
12.1%
등 221
 
10.2%
교 186
 
8.6%
학 185
 
8.6%
고 135
 
6.3%
화 119
 
5.5%
곡 77
 
3.6%
산 72
 
3.3%
발 71
 
3.3%
내 70
 
3.2%
Other values (54) 761
35.2%
ASCII
ValueCountFrequency (%)
( 251
29.3%
) 251
29.3%
/ 184
21.5%
153
17.9%
- 3
 
0.4%
2 3
 
0.4%
6 2
 
0.2%
7 2
 
0.2%
3 2
 
0.2%
0 1
 
0.1%
Other values (4) 4
 
0.5%

전화번호
Text

Distinct82
Distinct (%)32.3%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-05-03T21:40:43.764107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.125984
Min length10

Characters and Unicode

Total characters3080
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

Unique62 ?
Unique (%)24.4%

Sample

1st row0269855900
2nd row070-8644-6400
3rd row02-2644-3549
4th row02-2664-8813
5th row02-3663-2591
ValueCountFrequency (%)
02-2644-3543 25
 
9.8%
02-2665-5900 23
 
9.1%
070-8644-6300 18
 
7.1%
02-2660-7911 17
 
6.7%
02-2659-2981 16
 
6.3%
02-2666-2106 16
 
6.3%
02-3661-3425 11
 
4.3%
02-2657-0800 10
 
3.9%
02-3661-1741 7
 
2.8%
070-7458-1003 7
 
2.8%
Other values (72) 104
40.9%
2024-05-03T21:40:45.477528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 548
17.8%
2 515
16.7%
- 506
16.4%
6 457
14.8%
4 201
 
6.5%
5 180
 
5.8%
3 169
 
5.5%
1 152
 
4.9%
8 128
 
4.2%
7 120
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2574
83.6%
Dash Punctuation 506
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 548
21.3%
2 515
20.0%
6 457
17.8%
4 201
 
7.8%
5 180
 
7.0%
3 169
 
6.6%
1 152
 
5.9%
8 128
 
5.0%
7 120
 
4.7%
9 104
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 506
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3080
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 548
17.8%
2 515
16.7%
- 506
16.4%
6 457
14.8%
4 201
 
6.5%
5 180
 
5.8%
3 169
 
5.5%
1 152
 
4.9%
8 128
 
4.2%
7 120
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3080
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 548
17.8%
2 515
16.7%
- 506
16.4%
6 457
14.8%
4 201
 
6.5%
5 180
 
5.8%
3 169
 
5.5%
1 152
 
4.9%
8 128
 
4.2%
7 120
 
3.9%

홈페이지주소
Text

Distinct82
Distinct (%)32.3%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-05-03T21:40:46.342460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27
Mean length23.720472
Min length14

Characters and Unicode

Total characters6025
Distinct characters27
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

Unique62 ?
Unique (%)24.4%

Sample

1st rowhttp://magokhanui.sen.ms.kr
2nd rowhttp://www.hwagok.ms.kr
3rd rowhttp://www.shinjeong.ms.kr
4th rowhttp://myungduk.sen.ms.kr
5th rowhttp://mapo.sen.ms.kr
ValueCountFrequency (%)
http://shinjeong.sen.hs.kr 25
 
9.8%
http://sab.sen.hs.kr 23
 
9.1%
http://www.hwagok-gii.hs.kr 18
 
7.1%
http://www.dwarts.hs.kr 17
 
6.7%
https://younggong.sen.hs.kr 16
 
6.3%
https://gangseo-th.sen.hs.kr 16
 
6.3%
http://kbb.sen.hs.kr 11
 
4.3%
http://www.dongyang.hs.kr 10
 
3.9%
http://www.kb.hs.kr 7
 
2.8%
www.hankwang.hs.kr 7
 
2.8%
Other values (72) 104
40.9%
2024-05-03T21:40:47.681401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 755
12.5%
s 546
 
9.1%
h 538
 
8.9%
t 518
 
8.6%
/ 505
 
8.4%
n 372
 
6.2%
w 344
 
5.7%
k 329
 
5.5%
r 277
 
4.6%
e 277
 
4.6%
Other values (17) 1564
26.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4489
74.5%
Other Punctuation 1502
 
24.9%
Dash Punctuation 34
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 546
12.2%
h 538
12.0%
t 518
11.5%
n 372
8.3%
w 344
7.7%
k 329
7.3%
r 277
 
6.2%
e 277
 
6.2%
p 248
 
5.5%
g 248
 
5.5%
Other values (13) 792
17.6%
Other Punctuation
ValueCountFrequency (%)
. 755
50.3%
/ 505
33.6%
: 242
 
16.1%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4489
74.5%
Common 1536
 
25.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 546
12.2%
h 538
12.0%
t 518
11.5%
n 372
8.3%
w 344
7.7%
k 329
7.3%
r 277
 
6.2%
e 277
 
6.2%
p 248
 
5.5%
g 248
 
5.5%
Other values (13) 792
17.6%
Common
ValueCountFrequency (%)
. 755
49.2%
/ 505
32.9%
: 242
 
15.8%
- 34
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6025
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 755
12.5%
s 546
 
9.1%
h 538
 
8.9%
t 518
 
8.6%
/ 505
 
8.4%
n 372
 
6.2%
w 344
 
5.7%
k 329
 
5.5%
r 277
 
4.6%
e 277
 
4.6%
Other values (17) 1564
26.0%

팩스번호
Text

Distinct82
Distinct (%)32.3%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-05-03T21:40:48.533563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.988189
Min length10

Characters and Unicode

Total characters3045
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

Unique62 ?
Unique (%)24.4%

Sample

1st row0269855958
2nd row02-2662-2943
3rd row02-2642-5922
4th row02-2664-8846
5th row02-3663-2593
ValueCountFrequency (%)
02-2644-0021 25
 
9.8%
02-2666-0065 23
 
9.1%
02-2664-2803 18
 
7.1%
02-2660-7914 17
 
6.7%
02-2659-2986 16
 
6.3%
02-2666-2161 16
 
6.3%
02-3661-8372 11
 
4.3%
02-3664-9463 10
 
3.9%
02-3661-3795 7
 
2.8%
02-2652-4529 7
 
2.8%
Other values (72) 104
40.9%
2024-05-03T21:40:49.800974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 623
20.5%
6 553
18.2%
- 506
16.6%
0 441
14.5%
4 166
 
5.5%
5 155
 
5.1%
1 143
 
4.7%
3 137
 
4.5%
9 128
 
4.2%
8 112
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2539
83.4%
Dash Punctuation 506
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 623
24.5%
6 553
21.8%
0 441
17.4%
4 166
 
6.5%
5 155
 
6.1%
1 143
 
5.6%
3 137
 
5.4%
9 128
 
5.0%
8 112
 
4.4%
7 81
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 506
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3045
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 623
20.5%
6 553
18.2%
- 506
16.6%
0 441
14.5%
4 166
 
5.5%
5 155
 
5.1%
1 143
 
4.7%
3 137
 
4.5%
9 128
 
4.2%
8 112
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3045
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 623
20.5%
6 553
18.2%
- 506
16.6%
0 441
14.5%
4 166
 
5.5%
5 155
 
5.1%
1 143
 
4.7%
3 137
 
4.5%
9 128
 
4.2%
8 112
 
3.7%

남녀공학구분명
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
남여공학
153 
여
53 
남
48 

Length

Max length4
Median length4
Mean length2.8070866
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남여공학 153
60.2%
여 53
 
20.9%
남 48
 
18.9%

Length

2024-05-03T21:40:50.323705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:40:50.713119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남여공학 153
60.2%
여 53
 
20.9%
남 48
 
18.9%

고등학교구분명
Categorical

Distinct5
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
특성화고
109 
일반고
62 
<NA>
59 
특목고
23 
자율고
 
1

Length

Max length4
Median length4
Mean length3.6614173
Min length3

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
특성화고 109
42.9%
일반고 62
24.4%
<NA> 59
23.2%
특목고 23
 
9.1%
자율고 1
 
0.4%

Length

2024-05-03T21:40:51.061675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:40:51.413780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
특성화고 109
42.9%
일반고 62
24.4%
na 59
23.2%
특목고 23
 
9.1%
자율고 1
 
0.4%

산업체특별학급존재여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size386.0 B
False
254 
ValueCountFrequency (%)
False 254
100.0%
2024-05-03T21:40:51.799031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

고등학교일반실업구분명
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
일반계
135 
전문계
109 
해당없음
 
8
<NA>
 
2

Length

Max length4
Median length3
Mean length3.0393701
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반계 135
53.1%
전문계 109
42.9%
해당없음 8
 
3.1%
<NA> 2
 
0.8%

Length

2024-05-03T21:40:52.146953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:40:52.516107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반계 135
53.1%
전문계 109
42.9%
해당없음 8
 
3.1%
na 2
 
0.8%

특수목적고등학교계열명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
231 
예술계열
 
17
외국어계열
 
6

Length

Max length5
Median length4
Mean length4.023622
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> 231
90.9%
예술계열 17
 
6.7%
외국어계열 6
 
2.4%

Length

2024-05-03T21:40:53.006453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:40:53.395736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 231
90.9%
예술계열 17
 
6.7%
외국어계열 6
 
2.4%

입시전후기구분명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
전기
190 
후기
64 

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 190
74.8%
후기 64
 
25.2%

Length

2024-05-03T21:40:53.748642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:40:54.057428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전기 190
74.8%
후기 64
 
25.2%

주야구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
주간
254 

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 254
100.0%

Length

2024-05-03T21:40:54.386353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:40:54.677141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주간 254
100.0%

설립일자
Real number (ℝ)

Distinct71
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19814276
Minimum19000401
Maximum20200301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-03T21:40:55.125618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19000401
5-th percentile19530409
Q119780130
median19870108
Q319911107
95-th percentile20050384
Maximum20200301
Range1199900
Interquartile range (IQR)130977

Descriptive statistics

Standard deviation156966.64
Coefficient of variation (CV)0.0079218964
Kurtosis2.5713121
Mean19814276
Median Absolute Deviation (MAD)69997
Skewness-1.0411035
Sum5.032826 × 109
Variance2.4638526 × 1010
MonotonicityNot monotonic
2024-05-03T21:40:55.751707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19780130 30
 
11.8%
19870109 23
 
9.1%
19940105 18
 
7.1%
19870108 18
 
7.1%
19911107 17
 
6.7%
19530409 16
 
6.3%
19721002 11
 
4.3%
19530519 10
 
3.9%
19931002 7
 
2.8%
19870119 7
 
2.8%
Other values (61) 97
38.2%
ValueCountFrequency (%)
19000401 1
 
0.4%
19360906 1
 
0.4%
19491001 1
 
0.4%
19500601 1
 
0.4%
19500901 1
 
0.4%
19530409 16
6.3%
19530519 10
3.9%
19530601 4
 
1.6%
19550428 1
 
0.4%
19560510 1
 
0.4%
ValueCountFrequency (%)
20200301 2
0.8%
20150109 1
 
0.4%
20090301 4
1.6%
20080301 2
0.8%
20061228 1
 
0.4%
20060301 1
 
0.4%
20051229 1
 
0.4%
20050901 1
 
0.4%
20050105 1
 
0.4%
20040301 1
 
0.4%

개교기념일
Real number (ℝ)

Distinct79
Distinct (%)31.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19817787
Minimum19000401
Maximum20200420
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-03T21:40:56.439265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19000401
5-th percentile19530409
Q119780130
median19870119
Q319920429
95-th percentile20050688
Maximum20200420
Range1200019
Interquartile range (IQR)140299

Descriptive statistics

Standard deviation156676.47
Coefficient of variation (CV)0.0079058509
Kurtosis2.667793
Mean19817787
Median Absolute Deviation (MAD)69986
Skewness-1.0635118
Sum5.033718 × 109
Variance2.4547517 × 1010
MonotonicityNot monotonic
2024-05-03T21:40:57.082881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19780130 29
 
11.4%
19870605 23
 
9.1%
19870916 18
 
7.1%
19920429 17
 
6.7%
19530409 16
 
6.3%
19940105 16
 
6.3%
19721002 11
 
4.3%
19530519 10
 
3.9%
19841015 8
 
3.1%
19931002 7
 
2.8%
Other values (69) 99
39.0%
ValueCountFrequency (%)
19000401 1
 
0.4%
19360906 1
 
0.4%
19491001 1
 
0.4%
19500601 1
 
0.4%
19530409 16
6.3%
19530519 10
3.9%
19530601 4
 
1.6%
19550428 1
 
0.4%
19560710 1
 
0.4%
19630701 1
 
0.4%
ValueCountFrequency (%)
20200420 1
 
0.4%
20200301 1
 
0.4%
20150302 1
 
0.4%
20090504 4
1.6%
20090430 1
 
0.4%
20080430 1
 
0.4%
20080301 1
 
0.4%
20060523 1
 
0.4%
20060506 1
 
0.4%
20051026 1
 
0.4%

시도교육청코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
B10
254 

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 254
100.0%

Length

2024-05-03T21:40:57.685051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:40:58.099251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
b10 254
100.0%

시도교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
서울특별시교육청
254 

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 254
100.0%

Length

2024-05-03T21:40:58.574736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:40:58.939597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 254
100.0%

소재지명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
서울특별시
254 

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 254
100.0%

Length

2024-05-03T21:40:59.263112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:40:59.705899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 254
100.0%

주야과정
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
주간
193 
<NA>
59 
야간
 
2

Length

Max length4
Median length2
Mean length2.4645669
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 193
76.0%
<NA> 59
 
23.2%
야간 2
 
0.8%

Length

2024-05-03T21:41:00.216185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:41:00.731205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주간 193
76.0%
na 59
 
23.2%
야간 2
 
0.8%

계열명
Categorical

Distinct10
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
상업계
61 
<NA>
59 
일반계
57 
공업계
38 
예술계
17 
Other values (5)
22 

Length

Max length5
Median length3
Mean length3.2795276
Min length3

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
상업계 61
24.0%
<NA> 59
23.2%
일반계 57
22.4%
공업계 38
15.0%
예술계 17
 
6.7%
특성화 11
 
4.3%
외국어계 6
 
2.4%
가사계 2
 
0.8%
가사실업계 2
 
0.8%
보건?복지 1
 
0.4%

Length

2024-05-03T21:41:01.220285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:41:01.969861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상업계 61
24.0%
na 59
23.2%
일반계 57
22.4%
공업계 38
15.0%
예술계 17
 
6.7%
특성화 11
 
4.3%
외국어계 6
 
2.4%
가사계 2
 
0.8%
가사실업계 2
 
0.8%
보건?복지 1
 
0.4%

학과명
Text

MISSING 

Distinct115
Distinct (%)59.0%
Missing59
Missing (%)23.2%
Memory size2.1 KiB
2024-05-03T21:41:02.582448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length5.3589744
Min length3

Characters and Unicode

Total characters1045
Distinct characters143
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)45.6%

Sample

1st row마케팅경영과
2nd row금융회계과
3rd row관광서비스과
4th row관광과
5th row관광경영과
ValueCountFrequency (%)
일반학과 15
 
7.7%
공통과정 14
 
7.1%
인문사회과정 12
 
6.1%
자연과정 12
 
6.1%
기계과 4
 
2.0%
정보처리과 4
 
2.0%
사이버정보통신과 4
 
2.0%
공통과정(전문계 3
 
1.5%
전기과 3
 
1.5%
시각디자인과 3
 
1.5%
Other values (106) 122
62.2%
2024-05-03T21:41:03.518778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 199
 
19.0%
정 65
 
6.2%
통 31
 
3.0%
자 30
 
2.9%
공 29
 
2.8%
인 29
 
2.8%
학 21
 
2.0%
보 21
 
2.0%
사 21
 
2.0%
스 20
 
1.9%
Other values (133) 579
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1012
96.8%
Uppercase Letter 14
 
1.3%
Close Punctuation 8
 
0.8%
Open Punctuation 8
 
0.8%
Space Separator 1
 
0.1%
Dash Punctuation 1
 
0.1%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 199
 
19.7%
정 65
 
6.4%
통 31
 
3.1%
자 30
 
3.0%
공 29
 
2.9%
인 29
 
2.9%
학 21
 
2.1%
보 21
 
2.1%
사 21
 
2.1%
스 20
 
2.0%
Other values (124) 546
54.0%
Uppercase Letter
ValueCountFrequency (%)
I 6
42.9%
T 6
42.9%
R 1
 
7.1%
V 1
 
7.1%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
u 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1012
96.8%
Common 18
 
1.7%
Latin 15
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 199
 
19.7%
정 65
 
6.4%
통 31
 
3.1%
자 30
 
3.0%
공 29
 
2.9%
인 29
 
2.9%
학 21
 
2.1%
보 21
 
2.1%
사 21
 
2.1%
스 20
 
2.0%
Other values (124) 546
54.0%
Latin
ValueCountFrequency (%)
I 6
40.0%
T 6
40.0%
R 1
 
6.7%
u 1
 
6.7%
V 1
 
6.7%
Common
ValueCountFrequency (%)
) 8
44.4%
( 8
44.4%
1
 
5.6%
- 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1012
96.8%
ASCII 33
 
3.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 199
 
19.7%
정 65
 
6.4%
통 31
 
3.1%
자 30
 
3.0%
공 29
 
2.9%
인 29
 
2.9%
학 21
 
2.1%
보 21
 
2.1%
사 21
 
2.1%
스 20
 
2.0%
Other values (124) 546
54.0%
ASCII
ValueCountFrequency (%)
) 8
24.2%
( 8
24.2%
I 6
18.2%
T 6
18.2%
1
 
3.0%
R 1
 
3.0%
- 1
 
3.0%
u 1
 
3.0%
V 1
 
3.0%

적재일시
Real number (ℝ)

Distinct8
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20231350
Minimum20230615
Maximum20240414
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-03T21:41:03.889557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20230615
5-th percentile20230615
Q120230615
median20230615
Q320230615
95-th percentile20240414
Maximum20240414
Range9799
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2581.0576
Coefficient of variation (CV)0.00012757713
Kurtosis8.6390249
Mean20231350
Median Absolute Deviation (MAD)0
Skewness3.2510148
Sum5.1387629 × 109
Variance6661858.2
MonotonicityNot monotonic
2024-05-03T21:41:04.237804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20230615 226
89.0%
20240414 18
 
7.1%
20230623 4
 
1.6%
20230627 2
 
0.8%
20230624 1
 
0.4%
20231105 1
 
0.4%
20230628 1
 
0.4%
20240310 1
 
0.4%
ValueCountFrequency (%)
20230615 226
89.0%
20230623 4
 
1.6%
20230624 1
 
0.4%
20230627 2
 
0.8%
20230628 1
 
0.4%
20231105 1
 
0.4%
20240310 1
 
0.4%
20240414 18
 
7.1%
ValueCountFrequency (%)
20240414 18
 
7.1%
20240310 1
 
0.4%
20231105 1
 
0.4%
20230628 1
 
0.4%
20230627 2
 
0.8%
20230624 1
 
0.4%
20230623 4
 
1.6%
20230615 226
89.0%

Sample

학교종류명설립구분표준학교코드학교명영문학교명관할조직명도로명우편번호도로명주소도로명상세주소전화번호홈페이지주소팩스번호남녀공학구분명고등학교구분명산업체특별학급존재여부고등학교일반실업구분명특수목적고등학교계열명입시전후기구분명주야구분명설립일자개교기념일시도교육청코드시도교육청명소재지명주야과정계열명학과명적재일시
0중학교공립7081540마곡하늬중학교MagokHanui서울특별시강서양천교육지원청7810서울특별시 강서구 마곡서1로 16(마곡동)0269855900http://magokhanui.sen.ms.kr0269855958남여공학<NA>N<NA><NA>전기주간2020030120200301B10서울특별시교육청서울특별시<NA><NA><NA>20230615
1중학교사립7081524화곡중학교Hwagok Middle School서울특별시강서양천교육지원청7638서울특별시 강서구 강서로45길 70(내발산동/화곡중학교)070-8644-6400http://www.hwagok.ms.kr02-2662-2943남<NA>N일반계<NA>전기주간1974010519740105B10서울특별시교육청서울특별시<NA><NA><NA>20230615
2중학교사립7081521신정여자중학교Shin Jeung Girls’ Middle School서울특별시강서양천교육지원청7736서울특별시 강서구 등촌로13아길 20신정여자중학교02-2644-3549http://www.shinjeong.ms.kr02-2642-5922여<NA>N일반계<NA>전기주간1978013019781205B10서울특별시교육청서울특별시<NA><NA><NA>20230615
3중학교사립7081519명덕여자중학교Myungduk Girls’ Middle School서울특별시강서양천교육지원청7633서울특별시 강서구 강서로47길 34-10(내발산동)02-2664-8813http://myungduk.sen.ms.kr02-2664-8846여<NA>N일반계<NA>전기주간1977123019771015B10서울특별시교육청서울특별시<NA><NA><NA>20230615
4중학교사립7081518마포중학교Mapo Middle School서울특별시강서양천교육지원청7576서울특별시 강서구 화곡로 403/ 마포중학교 (전화 02-3663-2587)02-3663-2591http://mapo.sen.ms.kr02-3663-2593남<NA>N일반계<NA>전기주간1950060119500601B10서울특별시교육청서울특별시<NA><NA><NA>20230615
5중학교사립7081517등촌중학교Deung-chon Middle School서울특별시강서양천교육지원청7664서울특별시 강서구 공항대로 484-12(등촌동/등촌중학교)02-2653-0392http://deungchon.sen.ms.kr02-2653-4969남여공학<NA>N일반계<NA>전기주간1981013019810130B10서울특별시교육청서울특별시<NA><NA><NA>20230615
6중학교사립7081516덕원중학교Deokwon Middle School서울특별시강서양천교육지원청7640서울특별시 강서구 강서로45길 91-44(내발산동/덕원중학교)02-2660-7955http://deokwon.sen.ms.kr02-2660-7978남여공학<NA>N일반계<NA>전기주간1978042919780429B10서울특별시교육청서울특별시<NA><NA><NA>20230615
7중학교공립7081515마곡중학교Magok Middle School서울특별시강서양천교육지원청7598서울특별시 강서구 마곡중앙5로 58(마곡동)02-2666-8502http://www.magok.ms.kr02-2666-8504남여공학<NA>N해당없음<NA>후기주간2015010920150302B10서울특별시교육청서울특별시<NA><NA><NA>20230615
8중학교공립7081514화원중학교Hwawon Middle School서울특별시강서양천교육지원청7764서울특별시 강서구 강서로17나길 86(화곡동/화원중학교)02-811-2000http://www.shwawon.ms.kr02-811-2050남여공학<NA>N일반계<NA>전기주간1995011119960506B10서울특별시교육청서울특별시<NA><NA><NA>20230615
9중학교공립7081512염창중학교Yumchang Middle School서울특별시강서양천교육지원청7536서울특별시 강서구 양천로67가길 83(염창동/염창중학교)02-3664-2885http://yumchang.sen.ms.kr02-3665-5498남여공학<NA>N일반계<NA>전기주간1984011619840517B10서울특별시교육청서울특별시<NA><NA><NA>20230615
학교종류명설립구분표준학교코드학교명영문학교명관할조직명도로명우편번호도로명주소도로명상세주소전화번호홈페이지주소팩스번호남녀공학구분명고등학교구분명산업체특별학급존재여부고등학교일반실업구분명특수목적고등학교계열명입시전후기구분명주야구분명설립일자개교기념일시도교육청코드시도교육청명소재지명주야과정계열명학과명적재일시
244고등학교사립7010122경복여자고등학교Kyungbok Girls’ High School서울특별시교육청7589서울특별시 강서구 화곡로63길 40/ 경복여자고등학교 (등촌동)02-3661-1741http://www.kb.hs.kr02-3661-3795여일반고N일반계<NA>후기주간1993100219931002B10서울특별시교육청서울특별시주간일반계자연과정20230615
245고등학교사립7010122경복여자고등학교Kyungbok Girls’ High School서울특별시교육청7589서울특별시 강서구 화곡로63길 40/ 경복여자고등학교 (등촌동)02-3661-1741http://www.kb.hs.kr02-3661-3795여일반고N일반계<NA>후기주간1993100219931002B10서울특별시교육청서울특별시주간일반계체육과20230615
246고등학교사립7010122경복여자고등학교Kyungbok Girls’ High School서울특별시교육청7589서울특별시 강서구 화곡로63길 40/ 경복여자고등학교 (등촌동)02-3661-1741http://www.kb.hs.kr02-3661-3795여일반고N일반계<NA>후기주간1993100219931002B10서울특별시교육청서울특별시주간일반계공통과정20230615
247고등학교사립7010122경복여자고등학교Kyungbok Girls’ High School서울특별시교육청7589서울특별시 강서구 화곡로63길 40/ 경복여자고등학교 (등촌동)02-3661-1741http://www.kb.hs.kr02-3661-3795여일반고N일반계<NA>후기주간1993100219931002B10서울특별시교육청서울특별시주간일반계미술과20230615
248고등학교사립7010122경복여자고등학교Kyungbok Girls’ High School서울특별시교육청7589서울특별시 강서구 화곡로63길 40/ 경복여자고등학교 (등촌동)02-3661-1741http://www.kb.hs.kr02-3661-3795여일반고N일반계<NA>후기주간1993100219931002B10서울특별시교육청서울특별시주간일반계음악과20230615
249고등학교사립7010122경복여자고등학교Kyungbok Girls’ High School서울특별시교육청7589서울특별시 강서구 화곡로63길 40/ 경복여자고등학교 (등촌동)02-3661-1741http://www.kb.hs.kr02-3661-3795여일반고N일반계<NA>후기주간1993100219931002B10서울특별시교육청서울특별시주간일반계일반학과20230615
250고등학교공립7010064공항고등학교Konghang High School서울특별시교육청7597서울특별시 강서구 방화대로34길 43(마곡동/ 공항고등학교)02-2664-6874http://www.konghang.hs.kr02-6309-3919남여공학일반고N일반계<NA>후기주간1982113019830412B10서울특별시교육청서울특별시주간일반계공통과정20230615
251고등학교공립7010064공항고등학교Konghang High School서울특별시교육청7597서울특별시 강서구 방화대로34길 43(마곡동/ 공항고등학교)02-2664-6874http://www.konghang.hs.kr02-6309-3919남여공학일반고N일반계<NA>후기주간1982113019830412B10서울특별시교육청서울특별시주간일반계자연과정20230615
252고등학교공립7010064공항고등학교Konghang High School서울특별시교육청7597서울특별시 강서구 방화대로34길 43(마곡동/ 공항고등학교)02-2664-6874http://www.konghang.hs.kr02-6309-3919남여공학일반고N일반계<NA>후기주간1982113019830412B10서울특별시교육청서울특별시주간일반계일반학과20230615
253고등학교공립7010064공항고등학교Konghang High School서울특별시교육청7597서울특별시 강서구 방화대로34길 43(마곡동/ 공항고등학교)02-2664-6874http://www.konghang.hs.kr02-6309-3919남여공학일반고N일반계<NA>후기주간1982113019830412B10서울특별시교육청서울특별시주간일반계인문사회과정20230615