Overview

Dataset statistics

Number of variables28
Number of observations168
Missing cells169
Missing cells (%)3.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory37.7 KiB
Average record size in memory229.8 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
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-20526/S/1/datasetView.do

Alerts

산업체특별학급존재여부 has constant value ""Constant
특수목적고등학교계열명 has constant value ""Constant
시도교육청코드 has constant value ""Constant
시도교육청명 has constant value ""Constant
소재지명 has constant value ""Constant
주야구분명 is highly imbalanced (87.1%)Imbalance
홈페이지주소 has 2 (1.2%) missing valuesMissing
특수목적고등학교계열명 has 167 (99.4%) missing valuesMissing

Reproduction

Analysis started2024-05-04 04:14:48.730004
Analysis finished2024-05-04 04:14:49.780053
Duration1.05 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학교종류명
Categorical

Distinct8
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
고등학교
86 
초등학교
41 
중학교
29 
평생학교(고)-3년6학기
 
6
평생학교(고)-2년6학기
 
2
Other values (3)
 
4

Length

Max length13
Median length4
Mean length4.3630952
Min length3

Unique

Unique2 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
고등학교 86
51.2%
초등학교 41
24.4%
중학교 29
 
17.3%
평생학교(고)-3년6학기 6
 
3.6%
평생학교(고)-2년6학기 2
 
1.2%
특수학교 2
 
1.2%
평생학교(중)-2년6학기 1
 
0.6%
평생학교(초)-3년6학기 1
 
0.6%

Length

2024-05-04T04:14:50.072075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:14:50.474053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고등학교 86
51.2%
초등학교 41
24.4%
중학교 29
 
17.3%
평생학교(고)-3년6학기 6
 
3.6%
평생학교(고)-2년6학기 2
 
1.2%
특수학교 2
 
1.2%
평생학교(중)-2년6학기 1
 
0.6%
평생학교(초)-3년6학기 1
 
0.6%

설립구분
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
공립
113 
사립
55 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공립 113
67.3%
사립 55
32.7%

Length

2024-05-04T04:14:50.904626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:14:51.284489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 113
67.3%
사립 55
32.7%

표준학교코드
Real number (ℝ)

Distinct95
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7060440.4
Minimum7010057
Maximum7130271
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T04:14:51.534263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7010057
5-th percentile7010102.8
Q17010336.5
median7011323.5
Q37130150.2
95-th percentile7130201.7
Maximum7130271
Range120214
Interquartile range (IQR)119813.75

Descriptive statistics

Standard deviation59105.274
Coefficient of variation (CV)0.0083713297
Kurtosis-1.9063889
Mean7060440.4
Median Absolute Deviation (MAD)1216.5
Skewness0.34098332
Sum1.186154 × 109
Variance3.4934335 × 109
MonotonicityDecreasing
2024-05-04T04:14:51.962690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7011498 14
 
8.3%
7010813 7
 
4.2%
7011149 6
 
3.6%
7010712 5
 
3.0%
7010107 5
 
3.0%
7010370 5
 
3.0%
7010232 4
 
2.4%
7011112 4
 
2.4%
7010959 4
 
2.4%
7010701 4
 
2.4%
Other values (85) 110
65.5%
ValueCountFrequency (%)
7010057 4
2.4%
7010086 1
 
0.6%
7010101 4
2.4%
7010106 4
2.4%
7010107 5
3.0%
7010110 4
2.4%
7010168 4
2.4%
7010173 4
2.4%
7010217 4
2.4%
7010232 4
2.4%
ValueCountFrequency (%)
7130271 1
0.6%
7130270 1
0.6%
7130256 1
0.6%
7130255 1
0.6%
7130245 1
0.6%
7130207 1
0.6%
7130206 1
0.6%
7130203 1
0.6%
7130202 1
0.6%
7130201 1
0.6%

학교명
Text

Distinct95
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-04T04:14:52.604361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length7.6607143
Min length5

Characters and Unicode

Total characters1287
Distinct characters90
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

Unique76 ?
Unique (%)45.2%

Sample

1st row위례솔중학교
2nd row서울위례솔초등학교
3rd row해누리중학교
4th row서울해누리초등학교
5th row서울위례별초등학교
ValueCountFrequency (%)
서울인공지능고등학교 14
 
7.9%
학력인정 10
 
5.6%
보인고등학교 7
 
3.9%
한림연예예술고등학교 6
 
3.4%
영동일고등학교 5
 
2.8%
잠실고등학교 5
 
2.8%
일신여자상업고등학교 5
 
2.8%
잠실여자고등학교 4
 
2.2%
정신여자고등학교 4
 
2.2%
문정고등학교 4
 
2.2%
Other values (86) 114
64.0%
2024-05-04T04:14:53.787682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 178
 
13.8%
교 168
 
13.1%
등 136
 
10.6%
고 94
 
7.3%
서 57
 
4.4%
울 57
 
4.4%
초 42
 
3.3%
인 32
 
2.5%
중 31
 
2.4%
여 25
 
1.9%
Other values (80) 467
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1265
98.3%
Space Separator 10
 
0.8%
Close Punctuation 4
 
0.3%
Open Punctuation 4
 
0.3%
Decimal Number 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 178
 
14.1%
교 168
 
13.3%
등 136
 
10.8%
고 94
 
7.4%
서 57
 
4.5%
울 57
 
4.5%
초 42
 
3.3%
인 32
 
2.5%
중 31
 
2.5%
여 25
 
2.0%
Other values (75) 445
35.2%
Decimal Number
ValueCountFrequency (%)
2 3
75.0%
4 1
 
25.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1265
98.3%
Common 22
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 178
 
14.1%
교 168
 
13.3%
등 136
 
10.8%
고 94
 
7.4%
서 57
 
4.5%
울 57
 
4.5%
초 42
 
3.3%
인 32
 
2.5%
중 31
 
2.5%
여 25
 
2.0%
Other values (75) 445
35.2%
Common
ValueCountFrequency (%)
10
45.5%
) 4
 
18.2%
( 4
 
18.2%
2 3
 
13.6%
4 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1265
98.3%
ASCII 22
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 178
 
14.1%
교 168
 
13.3%
등 136
 
10.8%
고 94
 
7.4%
서 57
 
4.5%
울 57
 
4.5%
초 42
 
3.3%
인 32
 
2.5%
중 31
 
2.5%
여 25
 
2.0%
Other values (75) 445
35.2%
ASCII
ValueCountFrequency (%)
10
45.5%
) 4
 
18.2%
( 4
 
18.2%
2 3
 
13.6%
4 1
 
4.5%

영문학교명
Text

Distinct95
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-04T04:14:54.388223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length31
Mean length25.892857
Min length16

Characters and Unicode

Total characters4350
Distinct characters47
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)45.2%

Sample

1st rowWiryesol Middle School
2nd rowSEOUL WIRYESOL ELEMENTARY SCHOOL
3rd rowHaenuri Middle School
4th rowSeoul Haenuri Elementary School
5th rowSeoul Wiryebyeol Elementary School
ValueCountFrequency (%)
school 154
25.5%
high 80
13.2%
seoul 57
 
9.4%
elementary 42
 
7.0%
middle 30
 
5.0%
girls’ 20
 
3.3%
intelligence 14
 
2.3%
artificial 14
 
2.3%
highschool 14
 
2.3%
jamsil 11
 
1.8%
Other values (67) 168
27.8%
2024-05-04T04:14:55.515033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
436
 
10.0%
o 413
 
9.5%
l 315
 
7.2%
S 249
 
5.7%
h 239
 
5.5%
e 207
 
4.8%
i 187
 
4.3%
n 173
 
4.0%
H 168
 
3.9%
c 157
 
3.6%
Other values (37) 1806
41.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2543
58.5%
Uppercase Letter 1343
30.9%
Space Separator 436
 
10.0%
Final Punctuation 20
 
0.5%
Modifier Symbol 4
 
0.1%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 249
18.5%
H 168
12.5%
E 122
9.1%
I 119
8.9%
L 97
 
7.2%
O 82
 
6.1%
C 80
 
6.0%
G 76
 
5.7%
M 51
 
3.8%
N 51
 
3.8%
Other values (12) 248
18.5%
Lowercase Letter
ValueCountFrequency (%)
o 413
16.2%
l 315
12.4%
h 239
9.4%
e 207
8.1%
i 187
 
7.4%
n 173
 
6.8%
c 157
 
6.2%
g 145
 
5.7%
a 133
 
5.2%
u 106
 
4.2%
Other values (11) 468
18.4%
Space Separator
ValueCountFrequency (%)
436
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 20
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3886
89.3%
Common 464
 
10.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 413
 
10.6%
l 315
 
8.1%
S 249
 
6.4%
h 239
 
6.2%
e 207
 
5.3%
i 187
 
4.8%
n 173
 
4.5%
H 168
 
4.3%
c 157
 
4.0%
g 145
 
3.7%
Other values (33) 1633
42.0%
Common
ValueCountFrequency (%)
436
94.0%
’ 20
 
4.3%
` 4
 
0.9%
- 4
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4330
99.5%
Punctuation 20
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
436
 
10.1%
o 413
 
9.5%
l 315
 
7.3%
S 249
 
5.8%
h 239
 
5.5%
e 207
 
4.8%
i 187
 
4.3%
n 173
 
4.0%
H 168
 
3.9%
c 157
 
3.6%
Other values (36) 1786
41.2%
Punctuation
ValueCountFrequency (%)
’ 20
100.0%

관할조직명
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
서울특별시교육청
98 
서울특별시강동송파교육지원청
70 

Length

Max length14
Median length8
Mean length10.5
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시교육청 98
58.3%
서울특별시강동송파교육지원청 70
41.7%

Length

2024-05-04T04:14:55.939814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:14:56.397204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 98
58.3%
서울특별시강동송파교육지원청 70
41.7%

도로명우편번호
Real number (ℝ)

Distinct54
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5668.2321
Minimum5501
Maximum5853
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T04:14:56.915743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5501
5-th percentile5502
Q15564.75
median5676
Q35771
95-th percentile5821.95
Maximum5853
Range352
Interquartile range (IQR)206.25

Descriptive statistics

Standard deviation110.96242
Coefficient of variation (CV)0.019576195
Kurtosis-1.315435
Mean5668.2321
Median Absolute Deviation (MAD)104.5
Skewness-0.12814841
Sum952263
Variance12312.658
MonotonicityNot monotonic
2024-05-04T04:14:57.494510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5771 14
 
8.3%
5649 12
 
7.1%
5676 10
 
6.0%
5792 10
 
6.0%
5742 9
 
5.4%
5507 7
 
4.2%
5502 6
 
3.6%
5501 6
 
3.6%
5555 6
 
3.6%
5571 5
 
3.0%
Other values (44) 83
49.4%
ValueCountFrequency (%)
5501 6
3.6%
5502 6
3.6%
5503 1
 
0.6%
5504 2
 
1.2%
5506 3
1.8%
5507 7
4.2%
5511 1
 
0.6%
5522 1
 
0.6%
5529 5
3.0%
5533 1
 
0.6%
ValueCountFrequency (%)
5853 2
 
1.2%
5850 1
 
0.6%
5846 1
 
0.6%
5834 1
 
0.6%
5831 2
 
1.2%
5823 2
 
1.2%
5820 1
 
0.6%
5811 5
3.0%
5809 5
3.0%
5799 1
 
0.6%

도로명주소
Text

Distinct84
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-04T04:14:58.279138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length18.160714
Min length16

Characters and Unicode

Total characters3051
Distinct characters68
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

Unique65 ?
Unique (%)38.7%

Sample

1st row서울특별시 송파구 위례북로2길 10
2nd row서울특별시 송파구 위례북로2길 12
3rd row서울특별시 송파구 송파대로37길 95
4th row서울특별시 송파구 송파대로37길 95
5th row서울특별시 송파구 위례광장로 243
ValueCountFrequency (%)
서울특별시 168
25.0%
송파구 168
25.0%
21 18
 
2.7%
충민로 15
 
2.2%
양산로 14
 
2.1%
8 12
 
1.8%
양재대로 12
 
1.8%
송파대로38길 10
 
1.5%
18 10
 
1.5%
172 9
 
1.3%
Other values (109) 236
35.1%
2024-05-04T04:14:59.577589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
504
16.5%
송 195
 
6.4%
파 183
 
6.0%
서 168
 
5.5%
로 168
 
5.5%
특 168
 
5.5%
별 168
 
5.5%
시 168
 
5.5%
구 168
 
5.5%
울 168
 
5.5%
Other values (58) 993
32.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2027
66.4%
Decimal Number 519
 
17.0%
Space Separator 504
 
16.5%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
송 195
9.6%
파 183
9.0%
서 168
8.3%
로 168
8.3%
특 168
8.3%
별 168
8.3%
시 168
8.3%
구 168
8.3%
울 168
8.3%
길 74
 
3.7%
Other values (46) 399
19.7%
Decimal Number
ValueCountFrequency (%)
1 114
22.0%
2 101
19.5%
4 57
11.0%
3 55
10.6%
8 41
 
7.9%
7 39
 
7.5%
5 35
 
6.7%
6 27
 
5.2%
9 27
 
5.2%
0 23
 
4.4%
Space Separator
ValueCountFrequency (%)
504
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2027
66.4%
Common 1024
33.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
송 195
9.6%
파 183
9.0%
서 168
8.3%
로 168
8.3%
특 168
8.3%
별 168
8.3%
시 168
8.3%
구 168
8.3%
울 168
8.3%
길 74
 
3.7%
Other values (46) 399
19.7%
Common
ValueCountFrequency (%)
504
49.2%
1 114
 
11.1%
2 101
 
9.9%
4 57
 
5.6%
3 55
 
5.4%
8 41
 
4.0%
7 39
 
3.8%
5 35
 
3.4%
6 27
 
2.6%
9 27
 
2.6%
Other values (2) 24
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2027
66.4%
ASCII 1024
33.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
504
49.2%
1 114
 
11.1%
2 101
 
9.9%
4 57
 
5.6%
3 55
 
5.4%
8 41
 
4.0%
7 39
 
3.8%
5 35
 
3.4%
6 27
 
2.6%
9 27
 
2.6%
Other values (2) 24
 
2.3%
Hangul
ValueCountFrequency (%)
송 195
9.6%
파 183
9.0%
서 168
8.3%
로 168
8.3%
특 168
8.3%
별 168
8.3%
시 168
8.3%
구 168
8.3%
울 168
8.3%
길 74
 
3.7%
Other values (46) 399
19.7%

도로명상세주소
Text

Distinct83
Distinct (%)49.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-04T04:15:00.236057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length11.797619
Min length4

Characters and Unicode

Total characters1982
Distinct characters89
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)36.3%

Sample

1st row/ 위례솔중학교 (거여동)
2nd row/ 12
3rd row/ 해누리중학교 (가락동)
4th row(가락동)
5th row/ 서울위례별초등학교 (장지동)
ValueCountFrequency (%)
68
20.7%
잠실동 28
 
8.5%
장지동 19
 
5.8%
거여동 16
 
4.9%
오금동 16
 
4.9%
방이동 12
 
3.6%
풍납동 9
 
2.7%
가락동 9
 
2.7%
신천동 8
 
2.4%
한림연예예술고교 8
 
2.4%
Other values (77) 136
41.3%
2024-05-04T04:15:01.409806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 173
 
8.7%
( 169
 
8.5%
) 169
 
8.5%
161
 
8.1%
교 124
 
6.3%
/ 123
 
6.2%
학 114
 
5.8%
등 91
 
4.6%
고 70
 
3.5%
잠 48
 
2.4%
Other values (79) 740
37.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1358
68.5%
Open Punctuation 169
 
8.5%
Close Punctuation 169
 
8.5%
Space Separator 161
 
8.1%
Other Punctuation 123
 
6.2%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 173
 
12.7%
교 124
 
9.1%
학 114
 
8.4%
등 91
 
6.7%
고 70
 
5.2%
잠 48
 
3.5%
여 42
 
3.1%
실 38
 
2.8%
초 29
 
2.1%
신 28
 
2.1%
Other values (73) 601
44.3%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 169
100.0%
Close Punctuation
ValueCountFrequency (%)
) 169
100.0%
Space Separator
ValueCountFrequency (%)
161
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 123
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1358
68.5%
Common 624
31.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 173
 
12.7%
교 124
 
9.1%
학 114
 
8.4%
등 91
 
6.7%
고 70
 
5.2%
잠 48
 
3.5%
여 42
 
3.1%
실 38
 
2.8%
초 29
 
2.1%
신 28
 
2.1%
Other values (73) 601
44.3%
Common
ValueCountFrequency (%)
( 169
27.1%
) 169
27.1%
161
25.8%
/ 123
19.7%
2 1
 
0.2%
1 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1358
68.5%
ASCII 624
31.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 173
 
12.7%
교 124
 
9.1%
학 114
 
8.4%
등 91
 
6.7%
고 70
 
5.2%
잠 48
 
3.5%
여 42
 
3.1%
실 38
 
2.8%
초 29
 
2.1%
신 28
 
2.1%
Other values (73) 601
44.3%
ASCII
ValueCountFrequency (%)
( 169
27.1%
) 169
27.1%
161
25.8%
/ 123
19.7%
2 1
 
0.2%
1 1
 
0.2%

전화번호
Text

Distinct92
Distinct (%)54.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-04T04:15:02.199377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11
Mean length11.869048
Min length10

Characters and Unicode

Total characters1994
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

Unique72 ?
Unique (%)42.9%

Sample

1st row02-402-0122
2nd row02-6922-8800
3rd row02-403-1994
4th row02-407-1988
5th row02-409-2112
ValueCountFrequency (%)
02-6711-0508/0595 14
 
8.3%
02-2043-6021 7
 
4.2%
02-409-1021 6
 
3.6%
02-2140-8223 5
 
3.0%
02-2141-3700 5
 
3.0%
02-430-6822 5
 
3.0%
070-4014-2632 4
 
2.4%
02-2141-2000 4
 
2.4%
02-6951-8702 4
 
2.4%
02-406-0061 4
 
2.4%
Other values (82) 110
65.5%
2024-05-04T04:15:03.273594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 411
20.6%
2 339
17.0%
- 334
16.8%
4 213
10.7%
1 193
9.7%
5 95
 
4.8%
8 94
 
4.7%
6 86
 
4.3%
3 81
 
4.1%
7 75
 
3.8%
Other values (2) 73
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1646
82.5%
Dash Punctuation 334
 
16.8%
Other Punctuation 14
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 411
25.0%
2 339
20.6%
4 213
12.9%
1 193
11.7%
5 95
 
5.8%
8 94
 
5.7%
6 86
 
5.2%
3 81
 
4.9%
7 75
 
4.6%
9 59
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 334
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1994
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 411
20.6%
2 339
17.0%
- 334
16.8%
4 213
10.7%
1 193
9.7%
5 95
 
4.8%
8 94
 
4.7%
6 86
 
4.3%
3 81
 
4.1%
7 75
 
3.8%
Other values (2) 73
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1994
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 411
20.6%
2 339
17.0%
- 334
16.8%
4 213
10.7%
1 193
9.7%
5 95
 
4.8%
8 94
 
4.7%
6 86
 
4.3%
3 81
 
4.1%
7 75
 
3.8%
Other values (2) 73
 
3.7%

홈페이지주소
Text

MISSING 

Distinct94
Distinct (%)56.6%
Missing2
Missing (%)1.2%
Memory size1.4 KiB
2024-05-04T04:15:03.926823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length22.048193
Min length7

Characters and Unicode

Total characters3660
Distinct characters25
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)45.8%

Sample

1st rowwiryesol.sen.ms.kr
2nd rowhttps://wiryesol.sen.es.kr
3rd rowhttp://haenuri.ms.kr
4th rowhttp://haenuri.sen.es.kr
5th rowhttp://westar.sen.es.kr
ValueCountFrequency (%)
https://seoulai.sen.hs.kr 14
 
8.4%
http://www.boin.hs.kr 7
 
4.2%
http 6
 
3.6%
http://www.ydi.hs.kr 5
 
3.0%
http://jamsil.sen.hs.kr 5
 
3.0%
http://ilshin.sen.hs.kr 5
 
3.0%
http://www.jamsilg.hs.kr 4
 
2.4%
http://chungshin.sen.hs.kr 4
 
2.4%
http://mj.sen.hs.kr 4
 
2.4%
http://munhyeon.sen.hs.kr 4
 
2.4%
Other values (84) 108
65.1%
2024-05-04T04:15:05.146770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 468
12.8%
s 341
 
9.3%
/ 331
 
9.0%
t 325
 
8.9%
h 289
 
7.9%
n 196
 
5.4%
w 188
 
5.1%
p 182
 
5.0%
e 181
 
4.9%
r 179
 
4.9%
Other values (15) 980
26.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2696
73.7%
Other Punctuation 960
 
26.2%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 341
12.6%
t 325
12.1%
h 289
10.7%
n 196
 
7.3%
w 188
 
7.0%
p 182
 
6.8%
e 181
 
6.7%
r 179
 
6.6%
k 176
 
6.5%
a 90
 
3.3%
Other values (11) 549
20.4%
Other Punctuation
ValueCountFrequency (%)
. 468
48.8%
/ 331
34.5%
: 161
 
16.8%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2696
73.7%
Common 964
 
26.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 341
12.6%
t 325
12.1%
h 289
10.7%
n 196
 
7.3%
w 188
 
7.0%
p 182
 
6.8%
e 181
 
6.7%
r 179
 
6.6%
k 176
 
6.5%
a 90
 
3.3%
Other values (11) 549
20.4%
Common
ValueCountFrequency (%)
. 468
48.5%
/ 331
34.3%
: 161
 
16.7%
- 4
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3660
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 468
12.8%
s 341
 
9.3%
/ 331
 
9.0%
t 325
 
8.9%
h 289
 
7.9%
n 196
 
5.4%
w 188
 
5.1%
p 182
 
5.0%
e 181
 
4.9%
r 179
 
4.9%
Other values (15) 980
26.8%

팩스번호
Text

Distinct91
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-04T04:15:05.901511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.297619
Min length10

Characters and Unicode

Total characters1898
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

Unique73 ?
Unique (%)43.5%

Sample

1st row02-402-0128
2nd row02-6922-8808
3rd row02-403-1996
4th row02-407-1989
5th row02-409-6644
ValueCountFrequency (%)
02-6711-0599 14
 
8.3%
02-408-1021 10
 
5.9%
02-449-8063 7
 
4.1%
02-449-9355 5
 
3.0%
02-2140-8224 5
 
3.0%
02-2141-3880 5
 
3.0%
02-430-3595 5
 
3.0%
02-448-5671 4
 
2.4%
02-421-9669 4
 
2.4%
02-3012-0880 4
 
2.4%
Other values (82) 106
62.7%
2024-05-04T04:15:07.144804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 334
17.6%
0 331
17.4%
2 294
15.5%
4 218
11.5%
1 157
8.3%
9 112
 
5.9%
8 108
 
5.7%
3 94
 
5.0%
5 90
 
4.7%
6 88
 
4.6%
Other values (2) 72
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1563
82.3%
Dash Punctuation 334
 
17.6%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 331
21.2%
2 294
18.8%
4 218
13.9%
1 157
10.0%
9 112
 
7.2%
8 108
 
6.9%
3 94
 
6.0%
5 90
 
5.8%
6 88
 
5.6%
7 71
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 334
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1898
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 334
17.6%
0 331
17.4%
2 294
15.5%
4 218
11.5%
1 157
8.3%
9 112
 
5.9%
8 108
 
5.7%
3 94
 
5.0%
5 90
 
4.7%
6 88
 
4.6%
Other values (2) 72
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1898
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 334
17.6%
0 331
17.4%
2 294
15.5%
4 218
11.5%
1 157
8.3%
9 112
 
5.9%
8 108
 
5.7%
3 94
 
5.0%
5 90
 
4.7%
6 88
 
4.6%
Other values (2) 72
 
3.8%

남녀공학구분명
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
남여공학
119 
여
25 
남
24 

Length

Max length4
Median length4
Mean length3.125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남여공학 119
70.8%
여 25
 
14.9%
남 24
 
14.3%

Length

2024-05-04T04:15:07.761901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:15:08.276296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남여공학 119
70.8%
여 25
 
14.9%
남 24
 
14.3%

고등학교구분명
Categorical

Distinct5
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
74 
일반고
59 
특성화고
27 
자율고
 
7
특목고
 
1

Length

Max length4
Median length4
Mean length3.6011905
Min length3

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 74
44.0%
일반고 59
35.1%
특성화고 27
 
16.1%
자율고 7
 
4.2%
특목고 1
 
0.6%

Length

2024-05-04T04:15:08.653763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:15:09.045876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 74
44.0%
일반고 59
35.1%
특성화고 27
 
16.1%
자율고 7
 
4.2%
특목고 1
 
0.6%

산업체특별학급존재여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size300.0 B
False
168 
ValueCountFrequency (%)
False 168
100.0%
2024-05-04T04:15:09.475405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

고등학교일반실업구분명
Categorical

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
일반계
126 
전문계
27 
해당없음
 
10
<NA>
 
5

Length

Max length4
Median length3
Mean length3.0892857
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반계 126
75.0%
전문계 27
 
16.1%
해당없음 10
 
6.0%
<NA> 5
 
3.0%

Length

2024-05-04T04:15:09.993492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:15:10.597745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반계 126
75.0%
전문계 27
 
16.1%
해당없음 10
 
6.0%
na 5
 
3.0%

특수목적고등학교계열명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing167
Missing (%)99.4%
Memory size1.4 KiB
2024-05-04T04:15:10.984888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters4
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

Unique1 ?
Unique (%)100.0%

Sample

1st row체육계열
ValueCountFrequency (%)
체육계열 1
100.0%
2024-05-04T04:15:12.226893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
체 1
25.0%
육 1
25.0%
계 1
25.0%
열 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
체 1
25.0%
육 1
25.0%
계 1
25.0%
열 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
체 1
25.0%
육 1
25.0%
계 1
25.0%
열 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
체 1
25.0%
육 1
25.0%
계 1
25.0%
열 1
25.0%

입시전후기구분명
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
전기
100 
후기
68 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전기 100
59.5%
후기 68
40.5%

Length

2024-05-04T04:15:12.657331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:15:12.941573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전기 100
59.5%
후기 68
40.5%

주야구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
주간
165 
주야간
 
3

Length

Max length3
Median length2
Mean length2.0178571
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주간 165
98.2%
주야간 3
 
1.8%

Length

2024-05-04T04:15:13.252962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:15:13.554883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주간 165
98.2%
주야간 3
 
1.8%

설립일자
Real number (ℝ)

Distinct73
Distinct (%)43.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19765976
Minimum18871020
Maximum20220301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T04:15:13.835165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18871020
5-th percentile19060905
Q119718502
median19850716
Q319910332
95-th percentile20120301
Maximum20220301
Range1349281
Interquartile range (IQR)191830

Descriptive statistics

Standard deviation314871.29
Coefficient of variation (CV)0.015929964
Kurtosis1.2932229
Mean19765976
Median Absolute Deviation (MAD)95003.5
Skewness-1.3500794
Sum3.320684 × 109
Variance9.9143932 × 1010
MonotonicityNot monotonic
2024-05-04T04:15:14.267750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19910301 14
 
8.3%
19821130 9
 
5.4%
19080608 8
 
4.8%
19881223 8
 
4.8%
20081111 6
 
3.6%
19560316 5
 
3.0%
19060905 5
 
3.0%
19771230 5
 
3.0%
20071101 5
 
3.0%
19490307 5
 
3.0%
Other values (63) 98
58.3%
ValueCountFrequency (%)
18871020 5
3.0%
19060905 5
3.0%
19080608 8
4.8%
19241113 1
 
0.6%
19410402 4
2.4%
19490307 5
3.0%
19560316 5
3.0%
19590526 1
 
0.6%
19600403 4
2.4%
19670915 1
 
0.6%
ValueCountFrequency (%)
20220301 2
 
1.2%
20190301 2
 
1.2%
20160301 1
 
0.6%
20140301 2
 
1.2%
20120301 4
2.4%
20100301 4
2.4%
20090301 1
 
0.6%
20081111 6
3.6%
20080717 1
 
0.6%
20071101 5
3.0%

개교기념일
Real number (ℝ)

Distinct88
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19797027
Minimum18871020
Maximum20220501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T04:15:14.690474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18871020
5-th percentile19080608
Q119775493
median19871020
Q319923396
95-th percentile20120506
Maximum20220501
Range1349481
Interquartile range (IQR)147902.75

Descriptive statistics

Standard deviation290208.35
Coefficient of variation (CV)0.014659188
Kurtosis1.3989867
Mean19797027
Median Absolute Deviation (MAD)90696
Skewness-1.3738733
Sum3.3259006 × 109
Variance8.4220885 × 1010
MonotonicityNot monotonic
2024-05-04T04:15:15.161599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19910301 14
 
8.3%
19080608 8
 
4.8%
20090302 6
 
3.6%
19580406 5
 
3.0%
19341007 5
 
3.0%
19060905 5
 
3.0%
19780324 5
 
3.0%
19671028 5
 
3.0%
19830404 5
 
3.0%
19410422 4
 
2.4%
Other values (78) 106
63.1%
ValueCountFrequency (%)
18871020 1
 
0.6%
19060905 5
3.0%
19080608 8
4.8%
19241113 1
 
0.6%
19341007 5
3.0%
19410422 4
2.4%
19580406 5
3.0%
19590526 1
 
0.6%
19600403 1
 
0.6%
19671028 5
3.0%
ValueCountFrequency (%)
20220501 1
 
0.6%
20220301 1
 
0.6%
20190301 2
 
1.2%
20160504 1
 
0.6%
20140501 2
 
1.2%
20120506 4
2.4%
20100301 4
2.4%
20090416 1
 
0.6%
20090302 6
3.6%
20081027 1
 
0.6%

시도교육청코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
B10
168 

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 168
100.0%

Length

2024-05-04T04:15:15.594227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:15:16.036067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
b10 168
100.0%

시도교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
서울특별시교육청
168 

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 168
100.0%

Length

2024-05-04T04:15:16.528785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:15:16.917090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 168
100.0%

소재지명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
서울특별시
168 

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 168
100.0%

Length

2024-05-04T04:15:17.364582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:15:17.929535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 168
100.0%

주야과정
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
주간
93 
<NA>
74 
야간
 
1

Length

Max length4
Median length2
Mean length2.8809524
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
주간 93
55.4%
<NA> 74
44.0%
야간 1
 
0.6%

Length

2024-05-04T04:15:18.539710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:15:18.991065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주간 93
55.4%
na 74
44.0%
야간 1
 
0.6%

계열명
Categorical

Distinct8
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
74 
일반계
63 
공업계
14 
상업계
 
7
예술계
 
6
Other values (3)
 
4

Length

Max length5
Median length3
Mean length3.4642857
Min length3

Unique

Unique2 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 74
44.0%
일반계 63
37.5%
공업계 14
 
8.3%
상업계 7
 
4.2%
예술계 6
 
3.6%
경영?금융 2
 
1.2%
농업계 1
 
0.6%
체육계 1
 
0.6%

Length

2024-05-04T04:15:19.474520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:15:20.202980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 74
44.0%
일반계 63
37.5%
공업계 14
 
8.3%
상업계 7
 
4.2%
예술계 6
 
3.6%
경영?금융 2
 
1.2%
농업계 1
 
0.6%
체육계 1
 
0.6%

학과명
Categorical

Distinct39
Distinct (%)23.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
74 
일반학과
16 
공통과정
13 
자연과정
13 
인문사회과정
13 
Other values (34)
39 

Length

Max length9
Median length4
Mean length4.4940476
Min length3

Unique

Unique30 ?
Unique (%)17.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 74
44.0%
일반학과 16
 
9.5%
공통과정 13
 
7.7%
자연과정 13
 
7.7%
인문사회과정 13
 
7.7%
경영정보과 3
 
1.8%
공통과정(여) 2
 
1.2%
인문사회과정(여) 2
 
1.2%
자연과정(여) 2
 
1.2%
정보전자과 1
 
0.6%
Other values (29) 29
 
17.3%

Length

2024-05-04T04:15:20.812301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 74
44.0%
일반학과 16
 
9.5%
공통과정 13
 
7.7%
자연과정 13
 
7.7%
인문사회과정 13
 
7.7%
경영정보과 3
 
1.8%
공통과정(여 2
 
1.2%
인문사회과정(여 2
 
1.2%
자연과정(여 2
 
1.2%
회계정보과 1
 
0.6%
Other values (29) 29
 
17.3%

적재일시
Real number (ℝ)

Distinct6
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20230679
Minimum20230615
Maximum20240310
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T04:15:21.324175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20230615
5-th percentile20230615
Q120230615
median20230615
Q320230615
95-th percentile20230629
Maximum20240310
Range9695
Interquartile range (IQR)0

Descriptive statistics

Standard deviation748.27885
Coefficient of variation (CV)3.6987332 × 10-5
Kurtosis167.29084
Mean20230679
Median Absolute Deviation (MAD)0
Skewness12.921578
Sum3.3987541 × 109
Variance559921.23
MonotonicityNot monotonic
2024-05-04T04:15:21.634868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20230615 145
86.3%
20230629 10
 
6.0%
20230627 6
 
3.6%
20230702 5
 
3.0%
20231015 1
 
0.6%
20240310 1
 
0.6%
ValueCountFrequency (%)
20230615 145
86.3%
20230627 6
 
3.6%
20230629 10
 
6.0%
20230702 5
 
3.0%
20231015 1
 
0.6%
20240310 1
 
0.6%
ValueCountFrequency (%)
20240310 1
 
0.6%
20231015 1
 
0.6%
20230702 5
 
3.0%
20230629 10
 
6.0%
20230627 6
 
3.6%
20230615 145
86.3%

Sample

학교종류명설립구분표준학교코드학교명영문학교명관할조직명도로명우편번호도로명주소도로명상세주소전화번호홈페이지주소팩스번호남녀공학구분명고등학교구분명산업체특별학급존재여부고등학교일반실업구분명특수목적고등학교계열명입시전후기구분명주야구분명설립일자개교기념일시도교육청코드시도교육청명소재지명주야과정계열명학과명적재일시
0중학교공립7130271위례솔중학교Wiryesol Middle School서울특별시강동송파교육지원청5846서울특별시 송파구 위례북로2길 10/ 위례솔중학교 (거여동)02-402-0122wiryesol.sen.ms.kr02-402-0128남여공학<NA>N해당없음<NA>후기주간2022030120220501B10서울특별시교육청서울특별시<NA><NA><NA>20230615
1초등학교공립7130270서울위례솔초등학교SEOUL WIRYESOL ELEMENTARY SCHOOL서울특별시강동송파교육지원청5776서울특별시 송파구 위례북로2길 12/ 1202-6922-8800https://wiryesol.sen.es.kr02-6922-8808남여공학<NA>N해당없음<NA>후기주간2022030120220301B10서울특별시교육청서울특별시<NA><NA><NA>20230615
2중학교공립7130256해누리중학교Haenuri Middle School서울특별시강동송파교육지원청5698서울특별시 송파구 송파대로37길 95/ 해누리중학교 (가락동)02-403-1994http://haenuri.ms.kr02-403-1996남여공학<NA>N<NA><NA>전기주간2019030120190301B10서울특별시교육청서울특별시<NA><NA><NA>20230615
3초등학교공립7130255서울해누리초등학교Seoul Haenuri Elementary School서울특별시강동송파교육지원청5698서울특별시 송파구 송파대로37길 95(가락동)02-407-1988http://haenuri.sen.es.kr02-407-1989남여공학<NA>N<NA><NA>전기주간2019030120190301B10서울특별시교육청서울특별시<NA><NA><NA>20230615
4초등학교공립7130245서울위례별초등학교Seoul Wiryebyeol Elementary School서울특별시강동송파교육지원청5850서울특별시 송파구 위례광장로 243/ 서울위례별초등학교 (장지동)02-409-2112http://westar.sen.es.kr02-409-6644남여공학<NA>N<NA><NA>후기주간2016030120160504B10서울특별시교육청서울특별시<NA><NA><NA>20230615
5중학교공립7130207풍성중학교Pungsung Middle School서울특별시강동송파교육지원청5506서울특별시 송파구 강동대로2길 27(풍납동/ 풍성중학교)02-2224-7700http://www.pungsung.ms.kr02-2224-7788남여공학<NA>N일반계<NA>전기주간1991012119910430B10서울특별시교육청서울특별시<NA><NA><NA>20230615
6중학교공립7130206풍납중학교Pungnap Middle School서울특별시강동송파교육지원청5506서울특별시 송파구 올림픽로43길 20(풍납동)02-2225-2000http://www.pungnap.ms.kr02-2225-2005남여공학<NA>N일반계<NA>전기주간1982120919830411B10서울특별시교육청서울특별시<NA><NA><NA>20230615
7중학교사립7130203정신여자중학교Chungshin Girls’ Middle School서울특별시강동송파교육지원청5571서울특별시 송파구 올림픽로4길 16/ 정신여자중학교 (잠실동)02-423-4123http://chungshin.sen.ms.kr02-423-8322여<NA>N일반계<NA>전기주간1887102018871020B10서울특별시교육청서울특별시<NA><NA><NA>20230615
8중학교공립7130202잠실중학교Jamsil Middle School서울특별시강동송파교육지원청5504서울특별시 송파구 올림픽로35길 130(신천동)02-420-8051http://jamsil.sen.ms.kr02-420-8055남여공학<NA>N일반계<NA>전기주간1980012419800506B10서울특별시교육청서울특별시<NA><NA><NA>20230615
9중학교공립7130201잠신중학교Jamsin Middle School서울특별시강동송파교육지원청5502서울특별시 송파구 잠실로 12/ 잠신중학교 (잠실동)02-2251-1234http://jamsin.ms.kr02-2251-1591남여공학<NA>N일반계<NA>전기주간1984010919840425B10서울특별시교육청서울특별시<NA><NA><NA>20230615
학교종류명설립구분표준학교코드학교명영문학교명관할조직명도로명우편번호도로명주소도로명상세주소전화번호홈페이지주소팩스번호남녀공학구분명고등학교구분명산업체특별학급존재여부고등학교일반실업구분명특수목적고등학교계열명입시전후기구분명주야구분명설립일자개교기념일시도교육청코드시도교육청명소재지명주야과정계열명학과명적재일시
158고등학교공립7010106잠신고등학교Jamsin High School서울특별시교육청5502서울특별시 송파구 잠실로 24/ 잠신고등학교 (잠실동)02-417-8771http://jamsin.sen.hs.kr02-421-9751남여공학일반고N일반계<NA>후기주간1988122319881223B10서울특별시교육청서울특별시주간일반계공통과정20230615
159고등학교공립7010101오금고등학교Ogeum High School서울특별시교육청5660서울특별시 송파구 중대로 247(오금동)02-406-0592http://ogeum.sen.hs.kr02-448-5671남여공학일반고N일반계<NA>후기주간1987121519880421B10서울특별시교육청서울특별시주간일반계공통과정20230615
160고등학교공립7010101오금고등학교Ogeum High School서울특별시교육청5660서울특별시 송파구 중대로 247(오금동)02-406-0592http://ogeum.sen.hs.kr02-448-5671남여공학일반고N일반계<NA>후기주간1987121519880421B10서울특별시교육청서울특별시주간일반계자연과정20230615
161고등학교공립7010101오금고등학교Ogeum High School서울특별시교육청5660서울특별시 송파구 중대로 247(오금동)02-406-0592http://ogeum.sen.hs.kr02-448-5671남여공학일반고N일반계<NA>후기주간1987121519880421B10서울특별시교육청서울특별시주간일반계일반학과20230615
162고등학교공립7010101오금고등학교Ogeum High School서울특별시교육청5660서울특별시 송파구 중대로 247(오금동)02-406-0592http://ogeum.sen.hs.kr02-448-5671남여공학일반고N일반계<NA>후기주간1987121519880421B10서울특별시교육청서울특별시주간일반계인문사회과정20230615
163고등학교공립7010086서울체육고등학교Seoul Physical Education High School서울특별시교육청5541서울특별시 송파구 강동대로 232/ 서울체육고등학교 (방이동)02-2140-9801http://seoul-ph.sen.hs.kr02-2203-9803남여공학특목고N일반계체육계열전기주간1971032019710320B10서울특별시교육청서울특별시주간체육계체육과20230615
164고등학교공립7010057가락고등학교Garak High School서울특별시교육청5678서울특별시 송파구 송이로 42(송파동/가락고등학교)02-416-4658http://garak.sen.hs.kr02-421-9669남여공학일반고N일반계<NA>후기주간1988122319890428B10서울특별시교육청서울특별시주간일반계인문사회과정20230615
165고등학교공립7010057가락고등학교Garak High School서울특별시교육청5678서울특별시 송파구 송이로 42(송파동/가락고등학교)02-416-4658http://garak.sen.hs.kr02-421-9669남여공학일반고N일반계<NA>후기주간1988122319890428B10서울특별시교육청서울특별시주간일반계자연과정20230615
166고등학교공립7010057가락고등학교Garak High School서울특별시교육청5678서울특별시 송파구 송이로 42(송파동/가락고등학교)02-416-4658http://garak.sen.hs.kr02-421-9669남여공학일반고N일반계<NA>후기주간1988122319890428B10서울특별시교육청서울특별시주간일반계일반학과20230615
167고등학교공립7010057가락고등학교Garak High School서울특별시교육청5678서울특별시 송파구 송이로 42(송파동/가락고등학교)02-416-4658http://garak.sen.hs.kr02-421-9669남여공학일반고N일반계<NA>후기주간1988122319890428B10서울특별시교육청서울특별시주간일반계공통과정20230615