Overview

Dataset statistics

Number of variables28
Number of observations133
Missing cells50
Missing cells (%)1.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.9 KiB
Average record size in memory230.0 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
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-20527/S/1/datasetView.do

Alerts

산업체특별학급존재여부 has constant value ""Constant
시도교육청코드 has constant value ""Constant
시도교육청명 has constant value ""Constant
소재지명 has constant value ""Constant
남녀공학구분명 is highly imbalanced (50.4%)Imbalance
특수목적고등학교계열명 is highly imbalanced (73.5%)Imbalance
주야구분명 is highly imbalanced (93.6%)Imbalance
학과명 has 50 (37.6%) missing valuesMissing

Reproduction

Analysis started2024-05-03 21:41:04.897120
Analysis finished2024-05-03 21:41:05.835947
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학교종류명
Categorical

Distinct4
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
고등학교
83 
초등학교
29 
중학교
19 
특수학교
 
2

Length

Max length4
Median length4
Mean length3.8571429
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고등학교 83
62.4%
초등학교 29
 
21.8%
중학교 19
 
14.3%
특수학교 2
 
1.5%

Length

2024-05-03T21:41:06.039043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:41:06.369909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고등학교 83
62.4%
초등학교 29
 
21.8%
중학교 19
 
14.3%
특수학교 2
 
1.5%

설립구분
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
사립
73 
공립
60 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 73
54.9%
공립 60
45.1%

Length

2024-05-03T21:41:06.737965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:41:07.054424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 73
54.9%
공립 60
45.1%

표준학교코드
Real number (ℝ)

Distinct64
Distinct (%)48.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7053768.5
Minimum7010076
Maximum7130275
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-03T21:41:07.414109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7010076
5-th percentile7010078
Q17010258
median7011179
Q37130131
95-th percentile7130206.2
Maximum7130275
Range120199
Interquartile range (IQR)119873

Descriptive statistics

Standard deviation57626.036
Coefficient of variation (CV)0.0081695388
Kurtosis-1.6822326
Mean7053768.5
Median Absolute Deviation (MAD)1025
Skewness0.5857552
Sum9.3815121 × 108
Variance3.32076 × 109
MonotonicityDecreasing
2024-05-03T21:41:07.870483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7011213 14
 
10.5%
7010916 13
 
9.8%
7011179 8
 
6.0%
7010078 6
 
4.5%
7010259 6
 
4.5%
7010984 4
 
3.0%
7010958 4
 
3.0%
7010258 4
 
3.0%
7010181 4
 
3.0%
7010170 4
 
3.0%
Other values (54) 66
49.6%
ValueCountFrequency (%)
7010076 4
3.0%
7010078 6
4.5%
7010117 4
3.0%
7010131 4
3.0%
7010154 4
3.0%
7010170 4
3.0%
7010181 4
3.0%
7010258 4
3.0%
7010259 6
4.5%
7010472 1
 
0.8%
ValueCountFrequency (%)
7130275 1
0.8%
7130268 1
0.8%
7130266 1
0.8%
7130264 1
0.8%
7130251 1
0.8%
7130209 1
0.8%
7130208 1
0.8%
7130205 1
0.8%
7130204 1
0.8%
7130193 1
0.8%

학교명
Text

Distinct64
Distinct (%)48.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-03T21:41:08.730154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length7.1879699
Min length4

Characters and Unicode

Total characters956
Distinct characters57
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 (%)37.6%

Sample

1st row상일중학교
2nd row강빛중학교
3rd row서울강빛초등학교
4th row서울고현초등학교
5th row서울강솔초등학교
ValueCountFrequency (%)
서울컨벤션고등학교 14
 
10.5%
상일미디어고등학교 13
 
9.8%
성덕고등학교 8
 
6.0%
명일여자고등학교 6
 
4.5%
한영외국어고등학교 6
 
4.5%
광문고등학교 4
 
3.0%
한영고등학교 4
 
3.0%
강일고등학교 4
 
3.0%
둔촌고등학교 4
 
3.0%
선사고등학교 4
 
3.0%
Other values (54) 66
49.6%
2024-05-03T21:41:09.723035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 133
13.9%
교 133
13.9%
등 112
 
11.7%
고 88
 
9.2%
서 43
 
4.5%
울 43
 
4.5%
일 37
 
3.9%
초 29
 
3.0%
상 19
 
2.0%
중 19
 
2.0%
Other values (47) 300
31.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 956
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 133
13.9%
교 133
13.9%
등 112
 
11.7%
고 88
 
9.2%
서 43
 
4.5%
울 43
 
4.5%
일 37
 
3.9%
초 29
 
3.0%
상 19
 
2.0%
중 19
 
2.0%
Other values (47) 300
31.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 956
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 133
13.9%
교 133
13.9%
등 112
 
11.7%
고 88
 
9.2%
서 43
 
4.5%
울 43
 
4.5%
일 37
 
3.9%
초 29
 
3.0%
상 19
 
2.0%
중 19
 
2.0%
Other values (47) 300
31.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 956
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 133
13.9%
교 133
13.9%
등 112
 
11.7%
고 88
 
9.2%
서 43
 
4.5%
울 43
 
4.5%
일 37
 
3.9%
초 29
 
3.0%
상 19
 
2.0%
중 19
 
2.0%
Other values (47) 300
31.4%

영문학교명
Text

Distinct64
Distinct (%)48.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-03T21:41:10.364152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length33
Mean length24.842105
Min length13

Characters and Unicode

Total characters3304
Distinct characters44
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)37.6%

Sample

1st rowSang-il Middle School
2nd rowGangbit middle school
3rd rowGangbit Elementary School
4th rowSeoul GoHyeon Elementary School
5th rowSeoul Gangsol Elementary School
ValueCountFrequency (%)
school 133
27.9%
high 83
17.4%
seoul 42
 
8.8%
elementary 29
 
6.1%
middle 19
 
4.0%
sangil 17
 
3.6%
convention 14
 
2.9%
media 13
 
2.7%
hanyoung 11
 
2.3%
seongdeok 9
 
1.9%
Other values (48) 106
22.3%
2024-05-03T21:41:11.730175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
344
 
10.4%
o 337
 
10.2%
l 226
 
6.8%
S 219
 
6.6%
h 190
 
5.8%
n 174
 
5.3%
g 166
 
5.0%
e 165
 
5.0%
i 161
 
4.9%
H 145
 
4.4%
Other values (34) 1177
35.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2015
61.0%
Uppercase Letter 933
28.2%
Space Separator 344
 
10.4%
Final Punctuation 7
 
0.2%
Dash Punctuation 5
 
0.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 219
23.5%
H 145
15.5%
O 96
10.3%
G 68
 
7.3%
E 63
 
6.8%
N 57
 
6.1%
L 53
 
5.7%
M 45
 
4.8%
C 44
 
4.7%
I 42
 
4.5%
Other values (12) 101
10.8%
Lowercase Letter
ValueCountFrequency (%)
o 337
16.7%
l 226
11.2%
h 190
9.4%
n 174
8.6%
g 166
8.2%
e 165
8.2%
i 161
8.0%
a 120
 
6.0%
c 119
 
5.9%
u 68
 
3.4%
Other values (9) 289
14.3%
Space Separator
ValueCountFrequency (%)
344
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2948
89.2%
Common 356
 
10.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 337
 
11.4%
l 226
 
7.7%
S 219
 
7.4%
h 190
 
6.4%
n 174
 
5.9%
g 166
 
5.6%
e 165
 
5.6%
i 161
 
5.5%
H 145
 
4.9%
a 120
 
4.1%
Other values (31) 1045
35.4%
Common
ValueCountFrequency (%)
344
96.6%
’ 7
 
2.0%
- 5
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3297
99.8%
Punctuation 7
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
344
 
10.4%
o 337
 
10.2%
l 226
 
6.9%
S 219
 
6.6%
h 190
 
5.8%
n 174
 
5.3%
g 166
 
5.0%
e 165
 
5.0%
i 161
 
4.9%
H 145
 
4.4%
Other values (33) 1170
35.5%
Punctuation
ValueCountFrequency (%)
’ 7
100.0%

관할조직명
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
서울특별시교육청
85 
서울특별시강동송파교육지원청
48 

Length

Max length14
Median length8
Mean length10.165414
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시교육청 85
63.9%
서울특별시강동송파교육지원청 48
36.1%

Length

2024-05-03T21:41:12.335420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:41:12.782018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 85
63.9%
서울특별시강동송파교육지원청 48
36.1%

도로명우편번호
Real number (ℝ)

Distinct42
Distinct (%)31.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5279.6241
Minimum5201
Maximum5412
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-03T21:41:13.302004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5201
5-th percentile5213
Q15232
median5279
Q35306
95-th percentile5401.2
Maximum5412
Range211
Interquartile range (IQR)74

Descriptive statistics

Standard deviation54.606943
Coefficient of variation (CV)0.01034296
Kurtosis0.19884013
Mean5279.6241
Median Absolute Deviation (MAD)42
Skewness0.90402497
Sum702190
Variance2981.9182
MonotonicityNot monotonic
2024-05-03T21:41:13.832811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
5225 21
15.8%
5282 18
13.5%
5279 15
 
11.3%
5306 9
 
6.8%
5268 7
 
5.3%
5367 6
 
4.5%
5234 5
 
3.8%
5213 5
 
3.8%
5412 5
 
3.8%
5237 4
 
3.0%
Other values (32) 38
28.6%
ValueCountFrequency (%)
5201 2
 
1.5%
5208 1
 
0.8%
5213 5
 
3.8%
5214 1
 
0.8%
5221 1
 
0.8%
5225 21
15.8%
5230 2
 
1.5%
5232 1
 
0.8%
5234 5
 
3.8%
5236 1
 
0.8%
ValueCountFrequency (%)
5412 5
3.8%
5410 1
 
0.8%
5409 1
 
0.8%
5396 2
 
1.5%
5392 1
 
0.8%
5371 2
 
1.5%
5367 6
4.5%
5344 1
 
0.8%
5341 1
 
0.8%
5339 1
 
0.8%

도로명주소
Text

Distinct56
Distinct (%)42.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-03T21:41:14.495956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length18.466165
Min length16

Characters and Unicode

Total characters2456
Distinct characters51
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

Unique43 ?
Unique (%)32.3%

Sample

1st row서울특별시 강동구 천호대로219길 61
2nd row서울특별시 강동구 아리수로93다길 1
3rd row서울특별시 강동구 아리수로93다길 1
4th row서울특별시 강동구 상일로11길 110
5th row서울특별시 강동구 고덕로97길 80
ValueCountFrequency (%)
서울특별시 133
25.0%
강동구 133
25.0%
동남로 29
 
5.5%
천호대로219길 18
 
3.4%
61 18
 
3.4%
구천면로 15
 
2.8%
964 14
 
2.6%
명일로 12
 
2.3%
832 11
 
2.1%
396 9
 
1.7%
Other values (84) 140
26.3%
2024-05-03T21:41:15.745039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
399
16.2%
동 170
 
6.9%
구 149
 
6.1%
강 138
 
5.6%
서 133
 
5.4%
특 133
 
5.4%
별 133
 
5.4%
시 133
 
5.4%
울 133
 
5.4%
로 133
 
5.4%
Other values (41) 802
32.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1575
64.1%
Decimal Number 476
 
19.4%
Space Separator 399
 
16.2%
Dash Punctuation 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 170
10.8%
구 149
9.5%
강 138
8.8%
서 133
8.4%
특 133
8.4%
별 133
8.4%
시 133
8.4%
울 133
8.4%
로 133
8.4%
길 53
 
3.4%
Other values (29) 267
17.0%
Decimal Number
ValueCountFrequency (%)
1 73
15.3%
2 71
14.9%
9 64
13.4%
6 62
13.0%
3 53
11.1%
4 35
7.4%
5 34
7.1%
8 29
 
6.1%
7 29
 
6.1%
0 26
 
5.5%
Space Separator
ValueCountFrequency (%)
399
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1575
64.1%
Common 881
35.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 170
10.8%
구 149
9.5%
강 138
8.8%
서 133
8.4%
특 133
8.4%
별 133
8.4%
시 133
8.4%
울 133
8.4%
로 133
8.4%
길 53
 
3.4%
Other values (29) 267
17.0%
Common
ValueCountFrequency (%)
399
45.3%
1 73
 
8.3%
2 71
 
8.1%
9 64
 
7.3%
6 62
 
7.0%
3 53
 
6.0%
4 35
 
4.0%
5 34
 
3.9%
8 29
 
3.3%
7 29
 
3.3%
Other values (2) 32
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1575
64.1%
ASCII 881
35.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
399
45.3%
1 73
 
8.3%
2 71
 
8.1%
9 64
 
7.3%
6 62
 
7.0%
3 53
 
6.0%
4 35
 
4.0%
5 34
 
3.9%
8 29
 
3.3%
7 29
 
3.3%
Other values (2) 32
 
3.6%
Hangul
ValueCountFrequency (%)
동 170
10.8%
구 149
9.5%
강 138
8.8%
서 133
8.4%
특 133
8.4%
별 133
8.4%
시 133
8.4%
울 133
8.4%
로 133
8.4%
길 53
 
3.4%
Other values (29) 267
17.0%

도로명상세주소
Text

Distinct55
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-03T21:41:16.325616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length16
Mean length12.255639
Min length4

Characters and Unicode

Total characters1630
Distinct characters62
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

Unique41 ?
Unique (%)30.8%

Sample

1st row(상일동/ 상일여자중학교)
2nd row(강일동/ 강빛초중통합학교)
3rd row(강일동, 강빛초중통합학교)
4th row/ 서울고현초등학교
5th row/ 서울강솔초등학교 (강일동)
ValueCountFrequency (%)
61
22.3%
상일동 37
13.5%
고덕동 25
 
9.1%
서울컨벤션고등학교 14
 
5.1%
상일미디어고등학교 13
 
4.7%
천호동 12
 
4.4%
둔촌동 11
 
4.0%
강일동 10
 
3.6%
암사동 8
 
2.9%
명일동/명일여자고등학교 6
 
2.2%
Other values (49) 77
28.1%
2024-05-03T21:41:17.527976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
141
 
8.7%
동 137
 
8.4%
( 132
 
8.1%
) 132
 
8.1%
교 97
 
6.0%
학 97
 
6.0%
/ 96
 
5.9%
고 91
 
5.6%
일 87
 
5.3%
등 82
 
5.0%
Other values (52) 538
33.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1122
68.8%
Space Separator 141
 
8.7%
Open Punctuation 132
 
8.1%
Close Punctuation 132
 
8.1%
Other Punctuation 97
 
6.0%
Decimal Number 5
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 137
 
12.2%
교 97
 
8.6%
학 97
 
8.6%
고 91
 
8.1%
일 87
 
7.8%
등 82
 
7.3%
상 55
 
4.9%
울 38
 
3.4%
서 38
 
3.4%
덕 34
 
3.0%
Other values (43) 366
32.6%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
4 2
40.0%
7 1
20.0%
Other Punctuation
ValueCountFrequency (%)
/ 96
99.0%
, 1
 
1.0%
Space Separator
ValueCountFrequency (%)
141
100.0%
Open Punctuation
ValueCountFrequency (%)
( 132
100.0%
Close Punctuation
ValueCountFrequency (%)
) 132
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1122
68.8%
Common 508
31.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 137
 
12.2%
교 97
 
8.6%
학 97
 
8.6%
고 91
 
8.1%
일 87
 
7.8%
등 82
 
7.3%
상 55
 
4.9%
울 38
 
3.4%
서 38
 
3.4%
덕 34
 
3.0%
Other values (43) 366
32.6%
Common
ValueCountFrequency (%)
141
27.8%
( 132
26.0%
) 132
26.0%
/ 96
18.9%
1 2
 
0.4%
4 2
 
0.4%
7 1
 
0.2%
, 1
 
0.2%
- 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1122
68.8%
ASCII 508
31.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
141
27.8%
( 132
26.0%
) 132
26.0%
/ 96
18.9%
1 2
 
0.4%
4 2
 
0.4%
7 1
 
0.2%
, 1
 
0.2%
- 1
 
0.2%
Hangul
ValueCountFrequency (%)
동 137
 
12.2%
교 97
 
8.6%
학 97
 
8.6%
고 91
 
8.1%
일 87
 
7.8%
등 82
 
7.3%
상 55
 
4.9%
울 38
 
3.4%
서 38
 
3.4%
덕 34
 
3.0%
Other values (43) 366
32.6%

전화번호
Text

Distinct63
Distinct (%)47.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-03T21:41:18.243578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length11.315789
Min length11

Characters and Unicode

Total characters1505
Distinct characters13
Distinct categories4 ?
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 (%)36.8%

Sample

1st row02-428-0735
2nd row02-6951-3964
3rd row02-6951-3963
4th row02-427-9672
5th row02-2147-5700
ValueCountFrequency (%)
02-3427-7400 14
 
10.4%
02-428-0733 13
 
9.6%
02-475-4620 8
 
5.9%
02-6954-1703 6
 
4.4%
02-481-8192 6
 
4.4%
02-477-2280 5
 
3.7%
02-6954-1504 4
 
3.0%
02-426-1749 4
 
3.0%
02-485-9873 4
 
3.0%
02-428-6200 4
 
3.0%
Other values (55) 67
49.6%
2024-05-03T21:41:19.649409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 266
17.7%
0 261
17.3%
2 249
16.5%
4 190
12.6%
7 126
8.4%
8 92
 
6.1%
3 85
 
5.6%
5 69
 
4.6%
1 67
 
4.5%
6 52
 
3.5%
Other values (3) 48
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1236
82.1%
Dash Punctuation 266
 
17.7%
Space Separator 2
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 261
21.1%
2 249
20.1%
4 190
15.4%
7 126
10.2%
8 92
 
7.4%
3 85
 
6.9%
5 69
 
5.6%
1 67
 
5.4%
6 52
 
4.2%
9 45
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 266
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1505
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 266
17.7%
0 261
17.3%
2 249
16.5%
4 190
12.6%
7 126
8.4%
8 92
 
6.1%
3 85
 
5.6%
5 69
 
4.6%
1 67
 
4.5%
6 52
 
3.5%
Other values (3) 48
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1505
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 266
17.7%
0 261
17.3%
2 249
16.5%
4 190
12.6%
7 126
8.4%
8 92
 
6.1%
3 85
 
5.6%
5 69
 
4.6%
1 67
 
4.5%
6 52
 
3.5%
Other values (3) 48
 
3.2%

홈페이지주소
Text

Distinct64
Distinct (%)48.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-03T21:41:20.432256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length22.969925
Min length13

Characters and Unicode

Total characters3055
Distinct characters26
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

Unique50 ?
Unique (%)37.6%

Sample

1st rowhttp://sangil.sen.ms.kr
2nd rowhttp://gbm.sen.ms.kr
3rd rowhttp://gbe.sen.es.kr
4th rowhttp://gohyeon.sen.es.kr
5th rowhttp://gangsol.sen.es.kr
ValueCountFrequency (%)
http://seoul-chs.sen.hs.kr 14
 
10.5%
http://www.sangilmedia.hs.kr 13
 
9.8%
http://ssd.hs.kr 8
 
6.0%
http://www.myungil.hs.kr 6
 
4.5%
http://hyfl.sen.hs.kr 6
 
4.5%
http://gwangmun.sen.hs.kr 4
 
3.0%
http://hanyoung.hs.kr 4
 
3.0%
http://www.gang-il.hs.kr 4
 
3.0%
https://doonchon.sen.hs.kr 4
 
3.0%
http://www.sunsa.hs.kr 4
 
3.0%
Other values (54) 66
49.6%
2024-05-03T21:41:21.531591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 374
12.2%
s 277
 
9.1%
h 256
 
8.4%
/ 254
 
8.3%
t 248
 
8.1%
w 178
 
5.8%
n 171
 
5.6%
k 149
 
4.9%
r 136
 
4.5%
p 129
 
4.2%
Other values (16) 883
28.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2284
74.8%
Other Punctuation 752
 
24.6%
Dash Punctuation 19
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 277
12.1%
h 256
11.2%
t 248
10.9%
w 178
 
7.8%
n 171
 
7.5%
k 149
 
6.5%
r 136
 
6.0%
p 129
 
5.6%
e 124
 
5.4%
g 99
 
4.3%
Other values (12) 517
22.6%
Other Punctuation
ValueCountFrequency (%)
. 374
49.7%
/ 254
33.8%
: 124
 
16.5%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2284
74.8%
Common 771
 
25.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 277
12.1%
h 256
11.2%
t 248
10.9%
w 178
 
7.8%
n 171
 
7.5%
k 149
 
6.5%
r 136
 
6.0%
p 129
 
5.6%
e 124
 
5.4%
g 99
 
4.3%
Other values (12) 517
22.6%
Common
ValueCountFrequency (%)
. 374
48.5%
/ 254
32.9%
: 124
 
16.1%
- 19
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3055
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 374
12.2%
s 277
 
9.1%
h 256
 
8.4%
/ 254
 
8.3%
t 248
 
8.1%
w 178
 
5.8%
n 171
 
5.6%
k 149
 
4.9%
r 136
 
4.5%
p 129
 
4.2%
Other values (16) 883
28.9%

팩스번호
Text

Distinct63
Distinct (%)47.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-03T21:41:22.099385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.37594
Min length11

Characters and Unicode

Total characters1513
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)36.1%

Sample

1st row02-3426-4787
2nd row02-6951-3966
3rd row02-6951-3966
4th row02-427-9682
5th row02-2147-5705
ValueCountFrequency (%)
02-3427-7711 14
 
10.5%
02-3427-0733 13
 
9.8%
02-3784-6939 8
 
6.0%
02-481-8197 6
 
4.5%
02-429-0360 6
 
4.5%
02-429-7845 4
 
3.0%
02-6954-1244 4
 
3.0%
02-428-6810 4
 
3.0%
02-485-9874 4
 
3.0%
02-426-1748 4
 
3.0%
Other values (53) 66
49.6%
2024-05-03T21:41:22.919927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 266
17.6%
2 223
14.7%
4 186
12.3%
0 185
12.2%
7 143
9.5%
3 119
7.9%
8 103
 
6.8%
1 97
 
6.4%
9 83
 
5.5%
6 62
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1247
82.4%
Dash Punctuation 266
 
17.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 223
17.9%
4 186
14.9%
0 185
14.8%
7 143
11.5%
3 119
9.5%
8 103
8.3%
1 97
7.8%
9 83
 
6.7%
6 62
 
5.0%
5 46
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 266
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1513
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 266
17.6%
2 223
14.7%
4 186
12.3%
0 185
12.2%
7 143
9.5%
3 119
7.9%
8 103
 
6.8%
1 97
 
6.4%
9 83
 
5.5%
6 62
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1513
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 266
17.6%
2 223
14.7%
4 186
12.3%
0 185
12.2%
7 143
9.5%
3 119
7.9%
8 103
 
6.8%
1 97
 
6.4%
9 83
 
5.5%
6 62
 
4.1%

남녀공학구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
남여공학
112 
여
 
11
남
 
10

Length

Max length4
Median length4
Mean length3.5263158
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남여공학 112
84.2%
여 11
 
8.3%
남 10
 
7.5%

Length

2024-05-03T21:41:23.338454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:41:23.992332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남여공학 112
84.2%
여 11
 
8.3%
남 10
 
7.5%

고등학교구분명
Categorical

Distinct5
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
50 
일반고
46 
특성화고
27 
특목고
6 
자율고
 
4

Length

Max length4
Median length4
Mean length3.5789474
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> 50
37.6%
일반고 46
34.6%
특성화고 27
20.3%
특목고 6
 
4.5%
자율고 4
 
3.0%

Length

2024-05-03T21:41:24.335795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:41:24.665197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
37.6%
일반고 46
34.6%
특성화고 27
20.3%
특목고 6
 
4.5%
자율고 4
 
3.0%

산업체특별학급존재여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size265.0 B
False
133 
ValueCountFrequency (%)
False 133
100.0%
2024-05-03T21:41:24.974273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

고등학교일반실업구분명
Categorical

Distinct4
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
일반계
97 
전문계
27 
해당없음
 
6
<NA>
 
3

Length

Max length4
Median length3
Mean length3.0676692
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반계 97
72.9%
전문계 27
 
20.3%
해당없음 6
 
4.5%
<NA> 3
 
2.3%

Length

2024-05-03T21:41:25.315785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:41:25.672720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반계 97
72.9%
전문계 27
 
20.3%
해당없음 6
 
4.5%
na 3
 
2.3%

특수목적고등학교계열명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
127 
외국어계열
 
6

Length

Max length5
Median length4
Mean length4.0451128
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> 127
95.5%
외국어계열 6
 
4.5%

Length

2024-05-03T21:41:26.053955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:41:26.375172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 127
95.5%
외국어계열 6
 
4.5%

입시전후기구분명
Categorical

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
전기
85 
후기
46 
전후기
 
2

Length

Max length3
Median length2
Mean length2.0150376
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전기 85
63.9%
후기 46
34.6%
전후기 2
 
1.5%

Length

2024-05-03T21:41:26.665440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:41:26.963906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전기 85
63.9%
후기 46
34.6%
전후기 2
 
1.5%

주야구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
주간
132 
주야간
 
1

Length

Max length3
Median length2
Mean length2.0075188
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row주간
2nd row주간
3rd row주야간
4th row주간
5th row주간

Common Values

ValueCountFrequency (%)
주간 132
99.2%
주야간 1
 
0.8%

Length

2024-05-03T21:41:27.291847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:41:27.579381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주간 132
99.2%
주야간 1
 
0.8%

설립일자
Real number (ℝ)

Distinct56
Distinct (%)42.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19767094
Minimum18850608
Maximum20210301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-03T21:41:27.995813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18850608
5-th percentile19330418
Q119690301
median19831226
Q319860301
95-th percentile20110301
Maximum20210301
Range1359693
Interquartile range (IQR)170000

Descriptive statistics

Standard deviation261248.09
Coefficient of variation (CV)0.013216312
Kurtosis3.9891213
Mean19767094
Median Absolute Deviation (MAD)70625
Skewness-1.6228856
Sum2.6290235 × 109
Variance6.8250564 × 1010
MonotonicityNot monotonic
2024-05-03T21:41:28.515427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19611215 14
 
10.5%
19831226 13
 
9.8%
19841217 10
 
7.5%
19760601 8
 
6.0%
19900301 6
 
4.5%
20110301 5
 
3.8%
19530604 5
 
3.8%
20100301 5
 
3.8%
19330418 5
 
3.8%
19791006 4
 
3.0%
Other values (46) 58
43.6%
ValueCountFrequency (%)
18850608 4
 
3.0%
18850803 1
 
0.8%
19211002 1
 
0.8%
19330418 5
 
3.8%
19440501 1
 
0.8%
19500516 1
 
0.8%
19530604 5
 
3.8%
19611215 14
10.5%
19620720 1
 
0.8%
19690301 1
 
0.8%
ValueCountFrequency (%)
20210301 2
 
1.5%
20200301 1
 
0.8%
20170301 1
 
0.8%
20120301 1
 
0.8%
20110301 5
3.8%
20100301 5
3.8%
20010901 1
 
0.8%
19970115 4
3.0%
19940105 1
 
0.8%
19930720 1
 
0.8%

개교기념일
Real number (ℝ)

Distinct59
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19773901
Minimum18850608
Maximum20210301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-03T21:41:29.188705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18850608
5-th percentile19330418
Q119690327
median19841006
Q319860506
95-th percentile20110502
Maximum20210301
Range1359693
Interquartile range (IQR)170179

Descriptive statistics

Standard deviation265377.03
Coefficient of variation (CV)0.01342057
Kurtosis3.7931874
Mean19773901
Median Absolute Deviation (MAD)70101
Skewness-1.5810898
Sum2.6299289 × 109
Variance7.0424969 × 1010
MonotonicityNot monotonic
2024-05-03T21:41:29.763526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19611215 14
 
10.5%
19841006 13
 
9.8%
19770905 9
 
6.8%
19900418 6
 
4.5%
19850508 6
 
4.5%
18850608 5
 
3.8%
19530604 5
 
3.8%
19330418 5
 
3.8%
19791006 4
 
3.0%
19851105 4
 
3.0%
Other values (49) 62
46.6%
ValueCountFrequency (%)
18850608 5
 
3.8%
19211002 1
 
0.8%
19330418 5
 
3.8%
19440920 1
 
0.8%
19500516 1
 
0.8%
19530604 5
 
3.8%
19611215 14
10.5%
19620720 1
 
0.8%
19690327 1
 
0.8%
19691107 1
 
0.8%
ValueCountFrequency (%)
20210301 2
1.5%
20200301 1
 
0.8%
20190902 1
 
0.8%
20170504 1
 
0.8%
20120506 1
 
0.8%
20110504 1
 
0.8%
20110501 4
3.0%
20100404 4
3.0%
20100301 1
 
0.8%
20090901 1
 
0.8%

시도교육청코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
B10
133 

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 133
100.0%

Length

2024-05-03T21:41:30.309915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:41:30.687882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
b10 133
100.0%

시도교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
서울특별시교육청
133 

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 133
100.0%

Length

2024-05-03T21:41:31.248302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:41:31.621016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 133
100.0%

소재지명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
서울특별시
133 

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 133
100.0%

Length

2024-05-03T21:41:32.034229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:41:32.375149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 133
100.0%

주야과정
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
주간
83 
<NA>
50 

Length

Max length4
Median length2
Mean length2.7518797
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 83
62.4%
<NA> 50
37.6%

Length

2024-05-03T21:41:32.724807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:41:33.048399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주간 83
62.4%
na 50
37.6%

계열명
Categorical

Distinct5
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
50 
일반계
46 
상업계
18 
공업계
13 
외국어계
6 

Length

Max length4
Median length3
Mean length3.4210526
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> 50
37.6%
일반계 46
34.6%
상업계 18
 
13.5%
공업계 13
 
9.8%
외국어계 6
 
4.5%

Length

2024-05-03T21:41:33.531413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:41:33.888435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
37.6%
일반계 46
34.6%
상업계 18
 
13.5%
공업계 13
 
9.8%
외국어계 6
 
4.5%

학과명
Text

MISSING 

Distinct45
Distinct (%)54.2%
Missing50
Missing (%)37.6%
Memory size1.2 KiB
2024-05-03T21:41:34.535509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.5783133
Min length3

Characters and Unicode

Total characters463
Distinct characters83
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 (%)48.2%

Sample

1st row관광레저과
2nd row미디어사운드과
3rd row베이커리카페과
4th row비즈니스영어과
5th row비즈니스중국어과
ValueCountFrequency (%)
일반학과 11
 
13.3%
공통과정 10
 
12.0%
인문사회과정 10
 
12.0%
자연과정 10
 
12.0%
정보처리과 2
 
2.4%
영어과 1
 
1.2%
독일어과 1
 
1.2%
전자계산기과 1
 
1.2%
아이티미디어과 1
 
1.2%
디지털만화영상과 1
 
1.2%
Other values (35) 35
42.2%
2024-05-03T21:41:35.560535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 83
 
17.9%
정 44
 
9.5%
인 18
 
3.9%
자 15
 
3.2%
통 15
 
3.2%
사 15
 
3.2%
어 14
 
3.0%
일 13
 
2.8%
공 13
 
2.8%
회 12
 
2.6%
Other values (73) 221
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 450
97.2%
Open Punctuation 6
 
1.3%
Close Punctuation 6
 
1.3%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 83
 
18.4%
정 44
 
9.8%
인 18
 
4.0%
자 15
 
3.3%
통 15
 
3.3%
사 15
 
3.3%
어 14
 
3.1%
일 13
 
2.9%
공 13
 
2.9%
회 12
 
2.7%
Other values (70) 208
46.2%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 450
97.2%
Common 13
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 83
 
18.4%
정 44
 
9.8%
인 18
 
4.0%
자 15
 
3.3%
통 15
 
3.3%
사 15
 
3.3%
어 14
 
3.1%
일 13
 
2.9%
공 13
 
2.9%
회 12
 
2.7%
Other values (70) 208
46.2%
Common
ValueCountFrequency (%)
( 6
46.2%
) 6
46.2%
- 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 450
97.2%
ASCII 13
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 83
 
18.4%
정 44
 
9.8%
인 18
 
4.0%
자 15
 
3.3%
통 15
 
3.3%
사 15
 
3.3%
어 14
 
3.1%
일 13
 
2.9%
공 13
 
2.9%
회 12
 
2.7%
Other values (70) 208
46.2%
ASCII
ValueCountFrequency (%)
( 6
46.2%
) 6
46.2%
- 1
 
7.7%

적재일시
Real number (ℝ)

Distinct6
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20230791
Minimum20230615
Maximum20240428
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-03T21:41:35.960979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20230615
5-th percentile20230615
Q120230615
median20230615
Q320230615
95-th percentile20230903
Maximum20240428
Range9813
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1197.41
Coefficient of variation (CV)5.9187501 × 10-5
Kurtosis63.251688
Mean20230791
Median Absolute Deviation (MAD)0
Skewness7.9978383
Sum2.6906953 × 109
Variance1433790.7
MonotonicityNot monotonic
2024-05-03T21:41:36.517067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20230615 115
86.5%
20230903 13
 
9.8%
20230627 2
 
1.5%
20240414 1
 
0.8%
20230705 1
 
0.8%
20240428 1
 
0.8%
ValueCountFrequency (%)
20230615 115
86.5%
20230627 2
 
1.5%
20230705 1
 
0.8%
20230903 13
 
9.8%
20240414 1
 
0.8%
20240428 1
 
0.8%
ValueCountFrequency (%)
20240428 1
 
0.8%
20240414 1
 
0.8%
20230903 13
 
9.8%
20230705 1
 
0.8%
20230627 2
 
1.5%
20230615 115
86.5%

Sample

학교종류명설립구분표준학교코드학교명영문학교명관할조직명도로명우편번호도로명주소도로명상세주소전화번호홈페이지주소팩스번호남녀공학구분명고등학교구분명산업체특별학급존재여부고등학교일반실업구분명특수목적고등학교계열명입시전후기구분명주야구분명설립일자개교기념일시도교육청코드시도교육청명소재지명주야과정계열명학과명적재일시
0중학교사립7130275상일중학교Sang-il Middle School서울특별시강동송파교육지원청5282서울특별시 강동구 천호대로219길 61(상일동/ 상일여자중학교)02-428-0735http://sangil.sen.ms.kr02-3426-4787남여공학<NA>N일반계<NA>전기주간1979022119790221B10서울특별시교육청서울특별시<NA><NA><NA>20240414
1중학교공립7130268강빛중학교Gangbit middle school서울특별시강동송파교육지원청5201서울특별시 강동구 아리수로93다길 1(강일동/ 강빛초중통합학교)02-6951-3964http://gbm.sen.ms.kr02-6951-3966남여공학<NA>N<NA><NA>전후기주간2021030120210301B10서울특별시교육청서울특별시<NA><NA><NA>20230615
2초등학교공립7130266서울강빛초등학교Gangbit Elementary School서울특별시강동송파교육지원청5201서울특별시 강동구 아리수로93다길 1(강일동, 강빛초중통합학교)02-6951-3963http://gbe.sen.es.kr02-6951-3966남여공학<NA>N<NA><NA>전후기주야간2021030120210301B10서울특별시교육청서울특별시<NA><NA><NA>20230615
3초등학교공립7130264서울고현초등학교Seoul GoHyeon Elementary School서울특별시강동송파교육지원청5274서울특별시 강동구 상일로11길 110/ 서울고현초등학교02-427-9672http://gohyeon.sen.es.kr02-427-9682남여공학<NA>N해당없음<NA>전기주간2020030120200301B10서울특별시교육청서울특별시<NA><NA><NA>20230615
4초등학교공립7130251서울강솔초등학교Seoul Gangsol Elementary School서울특별시강동송파교육지원청5214서울특별시 강동구 고덕로97길 80/ 서울강솔초등학교 (강일동)02-2147-5700http://gangsol.sen.es.kr02-2147-5705남여공학<NA>N<NA><NA>전기주간2017030120170504B10서울특별시교육청서울특별시<NA><NA><NA>20230615
5중학교사립7130209한영중학교Hanyoung Middle School서울특별시강동송파교육지원청5279서울특별시 강동구 동남로 832/ 한영중학교 (상일동)02-6954-1403http://hanyoung.sen.ms.kr02-426-0131남여공학<NA>N일반계<NA>전기주간1933041819330418B10서울특별시교육청서울특별시<NA><NA><NA>20230615
6중학교공립7130208한산중학교Hansan Middle School서울특별시강동송파교육지원청5371서울특별시 강동구 풍성로 251(둔촌동)02-474-4903http://urihansan.ms.kr02-485-8092남여공학<NA>N일반계<NA>전기주간1990012019900426B10서울특별시교육청서울특별시<NA><NA><NA>20230615
7중학교공립7130205천호중학교Cheonho Middle School서울특별시강동송파교육지원청5308서울특별시 강동구 상암로 153(천호동)02-470-7075http://www.cheonho.ms.kr02-485-5621남여공학<NA>N일반계<NA>전기주간1969110719691107B10서울특별시교육청서울특별시<NA><NA><NA>20230615
8중학교공립7130204천일중학교Cheonil Middle School서울특별시강동송파교육지원청5323서울특별시 강동구 천중로 57(천호동/천일중학교)02-470-3542http://www.cheonil.ms.kr02-475-1805남여공학<NA>N일반계<NA>전기주간1994010519940506B10서울특별시교육청서울특별시<NA><NA><NA>20230615
9중학교공립7130193신암중학교Sinam Middle School서울특별시강동송파교육지원청5238서울특별시 강동구 고덕로 65/ 신암중학교 (암사동)02-441-6751http://www.sinam.ms.kr02-441-6752남여공학<NA>N일반계<NA>전기주간1981050419810504B10서울특별시교육청서울특별시<NA><NA><NA>20230615
학교종류명설립구분표준학교코드학교명영문학교명관할조직명도로명우편번호도로명주소도로명상세주소전화번호홈페이지주소팩스번호남녀공학구분명고등학교구분명산업체특별학급존재여부고등학교일반실업구분명특수목적고등학교계열명입시전후기구분명주야구분명설립일자개교기념일시도교육청코드시도교육청명소재지명주야과정계열명학과명적재일시
123고등학교공립7010078명일여자고등학교Myungil Girls’ High School서울특별시교육청5268서울특별시 강동구 명일로 350(명일동/명일여자고등학교)02-481-8192http://www.myungil.hs.kr02-481-8197여일반고N일반계<NA>후기주간1984121719850508B10서울특별시교육청서울특별시주간일반계자연과정(여)20230615
124고등학교공립7010078명일여자고등학교Myungil Girls’ High School서울특별시교육청5268서울특별시 강동구 명일로 350(명일동/명일여자고등학교)02-481-8192http://www.myungil.hs.kr02-481-8197여일반고N일반계<NA>후기주간1984121719850508B10서울특별시교육청서울특별시주간일반계자연과정20230615
125고등학교공립7010078명일여자고등학교Myungil Girls’ High School서울특별시교육청5268서울특별시 강동구 명일로 350(명일동/명일여자고등학교)02-481-8192http://www.myungil.hs.kr02-481-8197여일반고N일반계<NA>후기주간1984121719850508B10서울특별시교육청서울특별시주간일반계공통과정(여)20230615
126고등학교공립7010078명일여자고등학교Myungil Girls’ High School서울특별시교육청5268서울특별시 강동구 명일로 350(명일동/명일여자고등학교)02-481-8192http://www.myungil.hs.kr02-481-8197여일반고N일반계<NA>후기주간1984121719850508B10서울특별시교육청서울특별시주간일반계인문사회과정20230615
127고등학교공립7010078명일여자고등학교Myungil Girls’ High School서울특별시교육청5268서울특별시 강동구 명일로 350(명일동/명일여자고등학교)02-481-8192http://www.myungil.hs.kr02-481-8197여일반고N일반계<NA>후기주간1984121719850508B10서울특별시교육청서울특별시주간일반계인문사회과정(여)20230615
128고등학교공립7010078명일여자고등학교Myungil Girls’ High School서울특별시교육청5268서울특별시 강동구 명일로 350(명일동/명일여자고등학교)02-481-8192http://www.myungil.hs.kr02-481-8197여일반고N일반계<NA>후기주간1984121719850508B10서울특별시교육청서울특별시주간일반계일반학과20230615
129고등학교공립7010076둔촌고등학교Doonchon High School서울특별시교육청5367서울특별시 강동구 명일로 140(둔촌동/둔촌고등학교)02-485-9873https://doonchon.sen.hs.kr/02-485-9874남여공학일반고N일반계<NA>후기주간1997011519970412B10서울특별시교육청서울특별시주간일반계인문사회과정20230615
130고등학교공립7010076둔촌고등학교Doonchon High School서울특별시교육청5367서울특별시 강동구 명일로 140(둔촌동/둔촌고등학교)02-485-9873https://doonchon.sen.hs.kr/02-485-9874남여공학일반고N일반계<NA>후기주간1997011519970412B10서울특별시교육청서울특별시주간일반계자연과정20230615
131고등학교공립7010076둔촌고등학교Doonchon High School서울특별시교육청5367서울특별시 강동구 명일로 140(둔촌동/둔촌고등학교)02-485-9873https://doonchon.sen.hs.kr/02-485-9874남여공학일반고N일반계<NA>후기주간1997011519970412B10서울특별시교육청서울특별시주간일반계공통과정20230615
132고등학교공립7010076둔촌고등학교Doonchon High School서울특별시교육청5367서울특별시 강동구 명일로 140(둔촌동/둔촌고등학교)02-485-9873https://doonchon.sen.hs.kr/02-485-9874남여공학일반고N일반계<NA>후기주간1997011519970412B10서울특별시교육청서울특별시주간일반계일반학과20230615