Overview

Dataset statistics

Number of variables28
Number of observations255
Missing cells40
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory57.2 KiB
Average record size in memory229.5 B

Variable types

Categorical16
Numeric5
Text6
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
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-20523/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
남녀공학구분명 is highly imbalanced (52.2%)Imbalance
특수목적고등학교계열명 is highly imbalanced (69.3%)Imbalance
주야과정 is highly imbalanced (58.2%)Imbalance
학과명 has 40 (15.7%) missing valuesMissing

Reproduction

Analysis started2024-05-03 22:31:25.742730
Analysis finished2024-05-03 22:31:26.532295
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학교종류명
Categorical

Distinct5
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
고등학교
148 
각종학교(고)
67 
초등학교
22 
중학교
16 
특수학교
 
2

Length

Max length7
Median length4
Mean length4.7254902
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고등학교 148
58.0%
각종학교(고) 67
26.3%
초등학교 22
 
8.6%
중학교 16
 
6.3%
특수학교 2
 
0.8%

Length

2024-05-03T22:31:26.768684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:31:27.192721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고등학교 148
58.0%
각종학교(고 67
26.3%
초등학교 22
 
8.6%
중학교 16
 
6.3%
특수학교 2
 
0.8%

설립구분
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
사립
131 
공립
124 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 131
51.4%
공립 124
48.6%

Length

2024-05-03T22:31:27.674740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:31:28.092275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 131
51.4%
공립 124
48.6%

표준학교코드
Real number (ℝ)

Distinct59
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7028798.6
Minimum7010073
Maximum7132152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-03T22:31:28.587813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7010073
5-th percentile7010100.4
Q17010565
median7010697
Q37011488
95-th percentile7132127.6
Maximum7132152
Range122079
Interquartile range (IQR)923

Descriptive statistics

Standard deviation43322.323
Coefficient of variation (CV)0.0061635459
Kurtosis1.946121
Mean7028798.6
Median Absolute Deviation (MAD)483
Skewness1.9824459
Sum1.7923436 × 109
Variance1.8768236 × 109
MonotonicityDecreasing
2024-05-03T22:31:29.320828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7010565 65
25.5%
7010739 23
 
9.0%
7011482 17
 
6.7%
7010697 15
 
5.9%
7011488 15
 
5.9%
7011569 14
 
5.5%
7010340 12
 
4.7%
7010214 10
 
3.9%
7010073 5
 
2.0%
7010133 5
 
2.0%
Other values (49) 74
29.0%
ValueCountFrequency (%)
7010073 5
2.0%
7010081 4
 
1.6%
7010092 4
 
1.6%
7010104 5
2.0%
7010133 5
2.0%
7010136 4
 
1.6%
7010167 4
 
1.6%
7010185 3
 
1.2%
7010194 4
 
1.6%
7010214 10
3.9%
ValueCountFrequency (%)
7132152 1
0.4%
7132150 1
0.4%
7132149 1
0.4%
7132147 1
0.4%
7132145 1
0.4%
7132142 1
0.4%
7132140 1
0.4%
7132139 1
0.4%
7132138 1
0.4%
7132133 1
0.4%

학교명
Text

Distinct59
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-05-03T22:31:29.977333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.0117647
Min length5

Characters and Unicode

Total characters2043
Distinct characters63
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

Unique40 ?
Unique (%)15.7%

Sample

1st row인헌중학교
2nd row신림중학교
3rd row신관중학교
4th row성보중학교
5th row서울문영여자중학교
ValueCountFrequency (%)
서울산업정보학교 65
25.5%
서울관광고등학교 23
 
9.0%
영락의료과학고등학교 17
 
6.7%
서울문영여자고등학교 15
 
5.9%
광신방송예술고등학교 15
 
5.9%
미림마이스터고등학교 14
 
5.5%
서울여자상업고등학교 12
 
4.7%
영락고등학교 10
 
3.9%
당곡고등학교 5
 
2.0%
인헌고등학교 5
 
2.0%
Other values (49) 74
29.0%
2024-05-03T22:31:31.205812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 272
13.3%
교 255
12.5%
등 170
 
8.3%
고 148
 
7.2%
서 144
 
7.0%
울 144
 
7.0%
업 77
 
3.8%
보 70
 
3.4%
정 66
 
3.2%
산 65
 
3.2%
Other values (53) 632
30.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2043
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 272
13.3%
교 255
12.5%
등 170
 
8.3%
고 148
 
7.2%
서 144
 
7.0%
울 144
 
7.0%
업 77
 
3.8%
보 70
 
3.4%
정 66
 
3.2%
산 65
 
3.2%
Other values (53) 632
30.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2043
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 272
13.3%
교 255
12.5%
등 170
 
8.3%
고 148
 
7.2%
서 144
 
7.0%
울 144
 
7.0%
업 77
 
3.8%
보 70
 
3.4%
정 66
 
3.2%
산 65
 
3.2%
Other values (53) 632
30.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2043
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 272
13.3%
교 255
12.5%
등 170
 
8.3%
고 148
 
7.2%
서 144
 
7.0%
울 144
 
7.0%
업 77
 
3.8%
보 70
 
3.4%
정 66
 
3.2%
산 65
 
3.2%
Other values (53) 632
30.9%

영문학교명
Text

Distinct59
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-05-03T22:31:31.788295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length34
Mean length26.25098
Min length1

Characters and Unicode

Total characters6694
Distinct characters45
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

Unique40 ?
Unique (%)15.7%

Sample

1st rowInhun Middle School
2nd rowShillim Middle School
3rd rowShingwan Middle School
4th rowSungbo Middle School
5th rowSeoul Moonyoung girls’ Middle School
ValueCountFrequency (%)
school 253
27.2%
high 148
15.9%
seoul 143
15.4%
polytechnic 65
 
7.0%
youngnak 27
 
2.9%
tourism 23
 
2.5%
elementary 22
 
2.4%
kwangshin 21
 
2.3%
mirim 18
 
1.9%
medical-science 17
 
1.8%
Other values (43) 193
20.8%
2024-05-03T22:31:32.948514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 781
 
11.7%
675
 
10.1%
l 524
 
7.8%
S 481
 
7.2%
h 428
 
6.4%
c 365
 
5.5%
i 340
 
5.1%
e 316
 
4.7%
H 227
 
3.4%
n 223
 
3.3%
Other values (35) 2334
34.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4107
61.4%
Uppercase Letter 1853
27.7%
Space Separator 675
 
10.1%
Dash Punctuation 25
 
0.4%
Final Punctuation 17
 
0.3%
Modifier Symbol 15
 
0.2%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 481
26.0%
H 227
12.3%
G 118
 
6.4%
C 111
 
6.0%
N 107
 
5.8%
I 103
 
5.6%
A 97
 
5.2%
O 96
 
5.2%
M 83
 
4.5%
E 74
 
4.0%
Other values (11) 356
19.2%
Lowercase Letter
ValueCountFrequency (%)
o 781
19.0%
l 524
12.8%
h 428
10.4%
c 365
8.9%
i 340
8.3%
e 316
7.7%
n 223
 
5.4%
u 222
 
5.4%
g 195
 
4.7%
r 127
 
3.1%
Other values (9) 586
14.3%
Space Separator
ValueCountFrequency (%)
675
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 17
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 15
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5960
89.0%
Common 734
 
11.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 781
 
13.1%
l 524
 
8.8%
S 481
 
8.1%
h 428
 
7.2%
c 365
 
6.1%
i 340
 
5.7%
e 316
 
5.3%
H 227
 
3.8%
n 223
 
3.7%
u 222
 
3.7%
Other values (30) 2053
34.4%
Common
ValueCountFrequency (%)
675
92.0%
- 25
 
3.4%
’ 17
 
2.3%
` 15
 
2.0%
/ 2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6677
99.7%
Punctuation 17
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 781
 
11.7%
675
 
10.1%
l 524
 
7.8%
S 481
 
7.2%
h 428
 
6.4%
c 365
 
5.5%
i 340
 
5.1%
e 316
 
4.7%
H 227
 
3.4%
n 223
 
3.3%
Other values (34) 2317
34.7%
Punctuation
ValueCountFrequency (%)
’ 17
100.0%

관할조직명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
서울특별시교육청
217 
서울특별시동작관악교육지원청
38 

Length

Max length14
Median length8
Mean length8.8941176
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시교육청 217
85.1%
서울특별시동작관악교육지원청 38
 
14.9%

Length

2024-05-03T22:31:33.552176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:31:33.856209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 217
85.1%
서울특별시동작관악교육지원청 38
 
14.9%

도로명우편번호
Real number (ℝ)

Distinct42
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8853.6627
Minimum8701
Maximum15188
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-03T22:31:34.438791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8701
5-th percentile8714
Q18796
median8815
Q38833
95-th percentile8847.9
Maximum15188
Range6487
Interquartile range (IQR)37

Descriptive statistics

Standard deviation565.99554
Coefficient of variation (CV)0.06392784
Kurtosis123.44088
Mean8853.6627
Median Absolute Deviation (MAD)18
Skewness11.121657
Sum2257684
Variance320350.95
MonotonicityNot monotonic
2024-05-03T22:31:35.023873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
8815 69
27.1%
8833 29
11.4%
8831 27
 
10.6%
8714 23
 
9.0%
8847 21
 
8.2%
8821 18
 
7.1%
8723 6
 
2.4%
8773 6
 
2.4%
8712 5
 
2.0%
8796 5
 
2.0%
Other values (32) 46
18.0%
ValueCountFrequency (%)
8701 1
 
0.4%
8709 1
 
0.4%
8711 2
 
0.8%
8712 5
 
2.0%
8714 23
9.0%
8716 1
 
0.4%
8723 6
 
2.4%
8724 1
 
0.4%
8736 2
 
0.8%
8739 1
 
0.4%
ValueCountFrequency (%)
15188 2
 
0.8%
8863 1
 
0.4%
8859 2
 
0.8%
8858 1
 
0.4%
8857 1
 
0.4%
8854 5
 
2.0%
8850 1
 
0.4%
8847 21
8.2%
8846 1
 
0.4%
8842 1
 
0.4%

도로명주소
Categorical

Distinct50
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
서울특별시 관악구 신림로 67
67 
서울특별시 관악구 관악로 85
28 
서울특별시 관악구 청룡16길 25
27 
서울특별시 관악구 은천로15길 25
23 
서울특별시 관악구 광신길 141
21 
Other values (45)
89 

Length

Max length22
Median length20
Mean length17.262745
Min length14

Unique

Unique36 ?
Unique (%)14.1%

Sample

1st row서울특별시 관악구 인헌9길 35
2nd row서울특별시 관악구 신림로 40
3rd row서울특별시 관악구 신림로48길 17-16
4th row서울특별시 관악구 남부순환로156길 39
5th row서울특별시 관악구 관악로 85

Common Values

ValueCountFrequency (%)
서울특별시 관악구 신림로 67 67
26.3%
서울특별시 관악구 관악로 85 28
11.0%
서울특별시 관악구 청룡16길 25 27
10.6%
서울특별시 관악구 은천로15길 25 23
 
9.0%
서울특별시 관악구 광신길 141 21
 
8.2%
서울특별시 관악구 호암로 546 18
 
7.1%
서울특별시 관악구 난곡로34길 80 5
 
2.0%
서울특별시 관악구 봉천로21길 108 5
 
2.0%
서울특별시 관악구 인헌9길 74 5
 
2.0%
서울특별시 관악구 남부순환로156길 39 5
 
2.0%
Other values (40) 51
20.0%

Length

2024-05-03T22:31:35.675632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
관악구 255
25.0%
서울특별시 254
24.9%
신림로 73
 
7.2%
67 68
 
6.7%
25 50
 
4.9%
관악로 28
 
2.7%
85 28
 
2.7%
청룡16길 27
 
2.6%
은천로15길 23
 
2.3%
광신길 22
 
2.2%
Other values (77) 192
18.8%

도로명상세주소
Categorical

Distinct48
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
/ 서울산업정보학교 (신림동)
65 
(봉천동/서울관광고등학교)
23 
(봉천동/ 서울영락고등학교/ 영락의료과학고등학교)
17 
(신림동/ 광신방송예술고등학교)
15 
/ 서울문영여자고등학교 (봉천동)
15 
Other values (43)
120 

Length

Max length27
Median length23
Mean length14.992157
Min length5

Unique

Unique29 ?
Unique (%)11.4%

Sample

1st row/ 인헌중학교 (봉천동)
2nd row(신림동/신림중학교)
3rd row/ (신림동 신관중학교)
4th row성보중학교 (신림동)
5th row(봉천동)

Common Values

ValueCountFrequency (%)
/ 서울산업정보학교 (신림동) 65
25.5%
(봉천동/서울관광고등학교) 23
 
9.0%
(봉천동/ 서울영락고등학교/ 영락의료과학고등학교) 17
 
6.7%
(신림동/ 광신방송예술고등학교) 15
 
5.9%
/ 서울문영여자고등학교 (봉천동) 15
 
5.9%
미림마이스터고등학교 14
 
5.5%
(봉천동/서울여자상업고등학교) 12
 
4.7%
(신림동) 11
 
4.3%
/ 영락고등학교 (봉천동) 10
 
3.9%
(봉천동) 8
 
3.1%
Other values (38) 65
25.5%

Length

2024-05-03T22:31:36.489831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
124
22.3%
신림동 112
20.2%
서울산업정보학교 65
11.7%
봉천동 60
10.8%
봉천동/서울관광고등학교 23
 
4.1%
서울영락고등학교 17
 
3.1%
영락의료과학고등학교 17
 
3.1%
광신방송예술고등학교 15
 
2.7%
서울문영여자고등학교 15
 
2.7%
미림마이스터고등학교 14
 
2.5%
Other values (46) 93
16.8%

전화번호
Text

Distinct59
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-05-03T22:31:37.380325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length11.32549
Min length11

Characters and Unicode

Total characters2888
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

Unique40 ?
Unique (%)15.7%

Sample

1st row02-877-6760
2nd row02-882-1929
3rd row02-885-6893
4th row02-818-9700
5th row02-871-8921
ValueCountFrequency (%)
02-6331-1900 65
25.5%
02-886-9165 23
 
9.0%
02-884-1004 17
 
6.7%
02-873-3622 15
 
5.9%
02-881-8612 15
 
5.9%
02-872-4071 14
 
5.5%
02-873-3613 12
 
4.7%
02-884-1003 10
 
3.9%
02-6717-5200 5
 
2.0%
02-886-6253 5
 
2.0%
Other values (49) 74
29.0%
2024-05-03T22:31:38.418954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 508
17.6%
0 506
17.5%
2 374
13.0%
8 328
11.4%
1 322
11.1%
3 256
8.9%
6 200
 
6.9%
9 133
 
4.6%
7 121
 
4.2%
4 78
 
2.7%
Other values (2) 62
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2379
82.4%
Dash Punctuation 508
 
17.6%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 506
21.3%
2 374
15.7%
8 328
13.8%
1 322
13.5%
3 256
10.8%
6 200
 
8.4%
9 133
 
5.6%
7 121
 
5.1%
4 78
 
3.3%
5 61
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 508
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2888
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 508
17.6%
0 506
17.5%
2 374
13.0%
8 328
11.4%
1 322
11.1%
3 256
8.9%
6 200
 
6.9%
9 133
 
4.6%
7 121
 
4.2%
4 78
 
2.7%
Other values (2) 62
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2888
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 508
17.6%
0 506
17.5%
2 374
13.0%
8 328
11.4%
1 322
11.1%
3 256
8.9%
6 200
 
6.9%
9 133
 
4.6%
7 121
 
4.2%
4 78
 
2.7%
Other values (2) 62
 
2.1%

홈페이지주소
Text

Distinct59
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-05-03T22:31:39.220693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30
Mean length23.2
Min length15

Characters and Unicode

Total characters5916
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

Unique40 ?
Unique (%)15.7%

Sample

1st rowhttp://inhun.ms.kr
2nd rowhttp://www.shillim.ms.kr
3rd rowhttp://www.shingwan.ms.kr
4th rowhttp://sungbo.sen.ms.kr
5th rowhttp://www.moonyoung-gms.seoul.kr
ValueCountFrequency (%)
http://www.sis.sc.kr 65
25.5%
http://seoul-tour.sen.hs.kr 23
 
9.0%
http://youngnak-c.sen.hs.kr 17
 
6.7%
http://www.moonyoung.seoul.kr 15
 
5.9%
http://ksmedia.sen.hs.kr 15
 
5.9%
http://www.e-mirim.hs.kr 14
 
5.5%
http://sys.sen.hs.kr 12
 
4.7%
https://yrgo.sen.hs.kr 10
 
3.9%
http://www.danggok.hs.kr 5
 
2.0%
inhun.sen.hs.kr 5
 
2.0%
Other values (49) 74
29.0%
2024-05-03T22:31:40.489684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 759
12.8%
s 598
 
10.1%
t 516
 
8.7%
/ 506
 
8.6%
w 487
 
8.2%
h 401
 
6.8%
r 317
 
5.4%
k 311
 
5.3%
n 251
 
4.2%
p 245
 
4.1%
Other values (15) 1525
25.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4346
73.5%
Other Punctuation 1510
 
25.5%
Dash Punctuation 60
 
1.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 598
13.8%
t 516
11.9%
w 487
11.2%
h 401
9.2%
r 317
 
7.3%
k 311
 
7.2%
n 251
 
5.8%
p 245
 
5.6%
e 201
 
4.6%
o 184
 
4.2%
Other values (11) 835
19.2%
Other Punctuation
ValueCountFrequency (%)
. 759
50.3%
/ 506
33.5%
: 245
 
16.2%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4346
73.5%
Common 1570
 
26.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 598
13.8%
t 516
11.9%
w 487
11.2%
h 401
9.2%
r 317
 
7.3%
k 311
 
7.2%
n 251
 
5.8%
p 245
 
5.6%
e 201
 
4.6%
o 184
 
4.2%
Other values (11) 835
19.2%
Common
ValueCountFrequency (%)
. 759
48.3%
/ 506
32.2%
: 245
 
15.6%
- 60
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5916
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 759
12.8%
s 598
 
10.1%
t 516
 
8.7%
/ 506
 
8.6%
w 487
 
8.2%
h 401
 
6.8%
r 317
 
5.4%
k 311
 
5.3%
n 251
 
4.2%
p 245
 
4.1%
Other values (15) 1525
25.8%

팩스번호
Text

Distinct59
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-05-03T22:31:41.332205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.007843
Min length9

Characters and Unicode

Total characters2807
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

Unique40 ?
Unique (%)15.7%

Sample

1st row02-885-5564
2nd row02-872-4858
3rd row02-872-4057
4th row02-851-8161
5th row02-886-8194
ValueCountFrequency (%)
02-874-0535 65
25.5%
02-872-9170 23
 
9.0%
02-876-2708 17
 
6.7%
02-873-3625 15
 
5.9%
02-881-8637 15
 
5.9%
02-887-0856 14
 
5.5%
02-873-3620 12
 
4.7%
02-884-8741 10
 
3.9%
02-873-4617 5
 
2.0%
02-872-0495 5
 
2.0%
Other values (49) 74
29.0%
2024-05-03T22:31:42.643712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 508
18.1%
8 419
14.9%
0 410
14.6%
2 370
13.2%
7 292
10.4%
5 209
7.4%
3 167
 
5.9%
6 131
 
4.7%
4 121
 
4.3%
1 119
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2299
81.9%
Dash Punctuation 508
 
18.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 419
18.2%
0 410
17.8%
2 370
16.1%
7 292
12.7%
5 209
9.1%
3 167
 
7.3%
6 131
 
5.7%
4 121
 
5.3%
1 119
 
5.2%
9 61
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 508
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2807
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 508
18.1%
8 419
14.9%
0 410
14.6%
2 370
13.2%
7 292
10.4%
5 209
7.4%
3 167
 
5.9%
6 131
 
4.7%
4 121
 
4.3%
1 119
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2807
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 508
18.1%
8 419
14.9%
0 410
14.6%
2 370
13.2%
7 292
10.4%
5 209
7.4%
3 167
 
5.9%
6 131
 
4.7%
4 121
 
4.3%
1 119
 
4.2%

남녀공학구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
남여공학
214 
여
32 
남
 
9

Length

Max length4
Median length4
Mean length3.5176471
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남여공학 214
83.9%
여 32
 
12.5%
남 9
 
3.5%

Length

2024-05-03T22:31:43.329217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:31:43.732721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남여공학 214
83.9%
여 32
 
12.5%
남 9
 
3.5%

고등학교구분명
Categorical

Distinct5
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
특성화고
134 
일반고
62 
<NA>
40 
특목고
14 
자율고
 
5

Length

Max length4
Median length4
Mean length3.6823529
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
특성화고 134
52.5%
일반고 62
24.3%
<NA> 40
 
15.7%
특목고 14
 
5.5%
자율고 5
 
2.0%

Length

2024-05-03T22:31:44.222204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:31:44.708818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
특성화고 134
52.5%
일반고 62
24.3%
na 40
 
15.7%
특목고 14
 
5.5%
자율고 5
 
2.0%

산업체특별학급존재여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size387.0 B
False
255 
ValueCountFrequency (%)
False 255
100.0%
2024-05-03T22:31:45.184827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

고등학교일반실업구분명
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
전문계
146 
일반계
105 
해당없음
 
4

Length

Max length4
Median length3
Mean length3.0156863
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전문계 146
57.3%
일반계 105
41.2%
해당없음 4
 
1.6%

Length

2024-05-03T22:31:45.560258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:31:45.889484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전문계 146
57.3%
일반계 105
41.2%
해당없음 4
 
1.6%

특수목적고등학교계열명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
241 
산업수요 맞춤형 고등학교
 
14

Length

Max length13
Median length4
Mean length4.4941176
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> 241
94.5%
산업수요 맞춤형 고등학교 14
 
5.5%

Length

2024-05-03T22:31:46.199913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:31:46.554410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 241
85.2%
산업수요 14
 
4.9%
맞춤형 14
 
4.9%
고등학교 14
 
4.9%

입시전후기구분명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
전기
191 
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 191
74.9%
후기 64
 
25.1%

Length

2024-05-03T22:31:47.458887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:31:47.796058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전기 191
74.9%
후기 64
 
25.1%

주야구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
주간
255 

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 255
100.0%

Length

2024-05-03T22:31:48.149918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:31:48.474089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주간 255
100.0%

설립일자
Real number (ℝ)

Distinct58
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19725386
Minimum19051010
Maximum20120301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-03T22:31:48.906603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19051010
5-th percentile19051010
Q119690920
median19830302
Q319835668
95-th percentile19911107
Maximum20120301
Range1069291
Interquartile range (IQR)144748

Descriptive statistics

Standard deviation236511.74
Coefficient of variation (CV)0.011990221
Kurtosis2.051969
Mean19725386
Median Absolute Deviation (MAD)49987
Skewness-1.5958561
Sum5.0299735 × 109
Variance5.5937805 × 1010
MonotonicityNot monotonic
2024-05-03T22:31:49.500618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19830302 65
25.5%
19780315 23
 
9.0%
19520610 17
 
6.7%
19911107 15
 
5.9%
19051010 15
 
5.9%
19910301 14
 
5.5%
19260929 12
 
4.7%
19590409 10
 
3.9%
19870120 5
 
2.0%
19831226 5
 
2.0%
Other values (48) 74
29.0%
ValueCountFrequency (%)
19051010 15
5.9%
19260401 1
 
0.4%
19260929 12
4.7%
19511010 1
 
0.4%
19520610 17
6.7%
19580401 1
 
0.4%
19590409 10
3.9%
19641112 1
 
0.4%
19670915 1
 
0.4%
19671230 4
 
1.6%
ValueCountFrequency (%)
20120301 4
 
1.6%
20050301 1
 
0.4%
20040301 1
 
0.4%
20030118 2
 
0.8%
20030106 1
 
0.4%
20020710 1
 
0.4%
19960115 1
 
0.4%
19911107 15
5.9%
19910301 14
5.5%
19881224 1
 
0.4%

개교기념일
Real number (ℝ)

Distinct58
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19732108
Minimum19051010
Maximum20120501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-03T22:31:50.023113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19051010
5-th percentile19051010
Q119710376
median19831002
Q319840501
95-th percentile19911107
Maximum20120501
Range1069491
Interquartile range (IQR)130125.5

Descriptive statistics

Standard deviation233980.5
Coefficient of variation (CV)0.011857856
Kurtosis2.4079592
Mean19732108
Median Absolute Deviation (MAD)50687
Skewness-1.691169
Sum5.0316875 × 109
Variance5.4746875 × 1010
MonotonicityNot monotonic
2024-05-03T22:31:50.539337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19831002 65
25.5%
19780315 23
 
9.0%
19590409 17
 
6.7%
19911107 15
 
5.9%
19051010 15
 
5.9%
19910531 14
 
5.5%
19260929 12
 
4.7%
19550301 10
 
3.9%
19870102 5
 
2.0%
19840501 5
 
2.0%
Other values (48) 74
29.0%
ValueCountFrequency (%)
19051010 15
5.9%
19260929 12
4.7%
19360929 1
 
0.4%
19511010 1
 
0.4%
19550301 10
3.9%
19580401 1
 
0.4%
19590409 17
6.7%
19641112 1
 
0.4%
19670915 1
 
0.4%
19690728 1
 
0.4%
ValueCountFrequency (%)
20120501 4
 
1.6%
20050301 1
 
0.4%
20040607 1
 
0.4%
20030527 1
 
0.4%
20030118 2
 
0.8%
20021022 1
 
0.4%
19970301 1
 
0.4%
19911107 15
5.9%
19910531 14
5.5%
19890421 1
 
0.4%

시도교육청코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
B10
255 

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 255
100.0%

Length

2024-05-03T22:31:50.954550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:31:51.319235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
b10 255
100.0%

시도교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
서울특별시교육청
255 

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 255
100.0%

Length

2024-05-03T22:31:51.711723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:31:52.032574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 255
100.0%

소재지명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
서울특별시
255 

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 255
100.0%

Length

2024-05-03T22:31:52.498369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:31:52.786971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 255
100.0%

주야과정
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
주간
214 
<NA>
40 
야간
 
1

Length

Max length4
Median length2
Mean length2.3137255
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
주간 214
83.9%
<NA> 40
 
15.7%
야간 1
 
0.4%

Length

2024-05-03T22:31:53.231275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:31:53.638653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주간 214
83.9%
na 40
 
15.7%
야간 1
 
0.4%

계열명
Categorical

Distinct7
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
일반계
66 
통합계
49 
상업계
41 
<NA>
40 
특성화
31 
Other values (2)
28 

Length

Max length4
Median length3
Mean length3.1568627
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 (%)
일반계 66
25.9%
통합계 49
19.2%
상업계 41
16.1%
<NA> 40
15.7%
특성화 31
12.2%
공업계 25
 
9.8%
예술계 3
 
1.2%

Length

2024-05-03T22:31:53.987736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:31:54.297104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반계 66
25.9%
통합계 49
19.2%
상업계 41
16.1%
na 40
15.7%
특성화 31
12.2%
공업계 25
 
9.8%
예술계 3
 
1.2%

학과명
Text

MISSING 

Distinct142
Distinct (%)66.0%
Missing40
Missing (%)15.7%
Memory size2.1 KiB
2024-05-03T22:31:54.865672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length5.7116279
Min length3

Characters and Unicode

Total characters1228
Distinct characters166
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

Unique117 ?
Unique (%)54.4%

Sample

1st row인터랙티브미디어과
2nd row게임애니메이션과
3rd row경영정보과
4th row공통과정
5th row멀티미디어과
ValueCountFrequency (%)
공통과정 14
 
6.5%
일반학과 12
 
5.5%
인문사회과정 11
 
5.1%
자연과정 11
 
5.1%
정보처리과 5
 
2.3%
웹디자인과 3
 
1.4%
공통과정(전문계 3
 
1.4%
시각디자인과 3
 
1.4%
경영정보과 3
 
1.4%
만화영상과 3
 
1.4%
Other values (134) 149
68.7%
2024-05-03T22:31:55.835454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 196
 
16.0%
정 64
 
5.2%
자 41
 
3.3%
스 39
 
3.2%
인 39
 
3.2%
디 38
 
3.1%
통 31
 
2.5%
공 30
 
2.4%
어 22
 
1.8%
미 21
 
1.7%
Other values (156) 707
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1186
96.6%
Uppercase Letter 19
 
1.5%
Open Punctuation 9
 
0.7%
Close Punctuation 9
 
0.7%
Space Separator 2
 
0.2%
Other Punctuation 2
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 196
 
16.5%
정 64
 
5.4%
자 41
 
3.5%
스 39
 
3.3%
인 39
 
3.3%
디 38
 
3.2%
통 31
 
2.6%
공 30
 
2.5%
어 22
 
1.9%
미 21
 
1.8%
Other values (144) 665
56.1%
Uppercase Letter
ValueCountFrequency (%)
A 4
21.1%
C 4
21.1%
D 3
15.8%
I 3
15.8%
T 3
15.8%
M 2
10.5%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
? 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1186
96.6%
Common 23
 
1.9%
Latin 19
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 196
 
16.5%
정 64
 
5.4%
자 41
 
3.5%
스 39
 
3.3%
인 39
 
3.3%
디 38
 
3.2%
통 31
 
2.6%
공 30
 
2.5%
어 22
 
1.9%
미 21
 
1.8%
Other values (144) 665
56.1%
Common
ValueCountFrequency (%)
( 9
39.1%
) 9
39.1%
2
 
8.7%
3 1
 
4.3%
/ 1
 
4.3%
? 1
 
4.3%
Latin
ValueCountFrequency (%)
A 4
21.1%
C 4
21.1%
D 3
15.8%
I 3
15.8%
T 3
15.8%
M 2
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1186
96.6%
ASCII 42
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 196
 
16.5%
정 64
 
5.4%
자 41
 
3.5%
스 39
 
3.3%
인 39
 
3.3%
디 38
 
3.2%
통 31
 
2.6%
공 30
 
2.5%
어 22
 
1.9%
미 21
 
1.8%
Other values (144) 665
56.1%
ASCII
ValueCountFrequency (%)
( 9
21.4%
) 9
21.4%
A 4
9.5%
C 4
9.5%
D 3
 
7.1%
I 3
 
7.1%
T 3
 
7.1%
2
 
4.8%
M 2
 
4.8%
3 1
 
2.4%
Other values (2) 2
 
4.8%

적재일시
Real number (ℝ)

Distinct7
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20231193
Minimum20230615
Maximum20240421
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-03T22:31:56.155140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20230615
5-th percentile20230615
Q120230615
median20230615
Q320230627
95-th percentile20240310
Maximum20240421
Range9806
Interquartile range (IQR)12

Descriptive statistics

Standard deviation2286.0222
Coefficient of variation (CV)0.00011299493
Kurtosis12.318157
Mean20231193
Median Absolute Deviation (MAD)0
Skewness3.770519
Sum5.1589541 × 109
Variance5225897.7
MonotonicityNot monotonic
2024-05-03T22:31:56.453103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20230615 153
60.0%
20230627 70
27.5%
20230629 15
 
5.9%
20240310 14
 
5.5%
20230709 1
 
0.4%
20231224 1
 
0.4%
20240421 1
 
0.4%
ValueCountFrequency (%)
20230615 153
60.0%
20230627 70
27.5%
20230629 15
 
5.9%
20230709 1
 
0.4%
20231224 1
 
0.4%
20240310 14
 
5.5%
20240421 1
 
0.4%
ValueCountFrequency (%)
20240421 1
 
0.4%
20240310 14
 
5.5%
20231224 1
 
0.4%
20230709 1
 
0.4%
20230629 15
 
5.9%
20230627 70
27.5%
20230615 153
60.0%

Sample

학교종류명설립구분표준학교코드학교명영문학교명관할조직명도로명우편번호도로명주소도로명상세주소전화번호홈페이지주소팩스번호남녀공학구분명고등학교구분명산업체특별학급존재여부고등학교일반실업구분명특수목적고등학교계열명입시전후기구분명주야구분명설립일자개교기념일시도교육청코드시도교육청명소재지명주야과정계열명학과명적재일시
0중학교공립7132152인헌중학교Inhun Middle School서울특별시동작관악교육지원청8795서울특별시 관악구 인헌9길 35/ 인헌중학교 (봉천동)02-877-6760http://inhun.ms.kr02-885-5564남여공학<NA>N일반계<NA>전기주간1971011619710520B10서울특별시교육청서울특별시<NA><NA><NA>20230615
1중학교공립7132150신림중학교Shillim Middle School서울특별시동작관악교육지원청8841서울특별시 관악구 신림로 40(신림동/신림중학교)02-882-1929http://www.shillim.ms.kr02-872-4858남여공학<NA>N일반계<NA>전기주간1973122919720513B10서울특별시교육청서울특별시<NA><NA><NA>20230615
2중학교공립7132149신관중학교Shingwan Middle School서울특별시동작관악교육지원청8781서울특별시 관악구 신림로48길 17-16/ (신림동 신관중학교)02-885-6893http://www.shingwan.ms.kr02-872-4057남여공학<NA>N일반계<NA>전기주간1984030119840427B10서울특별시교육청서울특별시<NA><NA><NA>20230709
3중학교사립7132147성보중학교Sungbo Middle School서울특별시동작관악교육지원청8773서울특별시 관악구 남부순환로156길 39성보중학교 (신림동)02-818-9700http://sungbo.sen.ms.kr02-851-8161남여공학<NA>N일반계<NA>전기주간1981123119820531B10서울특별시교육청서울특별시<NA><NA><NA>20231224
4중학교사립7132145서울문영여자중학교Seoul Moonyoung girls’ Middle School서울특별시동작관악교육지원청8833서울특별시 관악구 관악로 85(봉천동)02-871-8921http://www.moonyoung-gms.seoul.kr02-886-8194여<NA>N일반계<NA>전기주간1926040119360929B10서울특별시교육청서울특별시<NA><NA><NA>20230627
5중학교공립7132142삼성중학교Samsung Middle School서울특별시동작관악교육지원청8816서울특별시 관악구 신림로3가길 39-24(신림동/삼성중학교)02-871-6242/6243http://samsung.sen.ms.kr02-884-8974남여공학<NA>N일반계<NA>전기주간1970100219700801B10서울특별시교육청서울특별시<NA><NA><NA>20230615
6중학교공립7132140봉원중학교Bong-won Middle School서울특별시동작관악교육지원청8736서울특별시 관악구 관악로24가길 15/ 봉원중학교 (봉천동/봉원중학교)02-879-1542https://bongwon.sen.ms.kr02-879-1548남여공학<NA>N일반계<NA>전기주간1969111119691111B10서울특별시교육청서울특별시<NA><NA><NA>20230615
7중학교공립7132139봉림중학교Bongrim Middle School서울특별시동작관악교육지원청8782서울특별시 관악구 장군봉길 72(봉천동)02-888-1281http://www.bongrim.ms.kr02-887-4907남여공학<NA>N일반계<NA>전기주간1988122419890421B10서울특별시교육청서울특별시<NA><NA><NA>20230615
8중학교공립7132138미성중학교Misung Middle School서울특별시동작관악교육지원청8863서울특별시 관악구 문성로16길 40(신림동)02-860-0900http://www.misung.ms.kr02-860-0998남여공학<NA>N일반계<NA>전기주간1984010919840517B10서울특별시교육청서울특별시<NA><NA><NA>20230615
9중학교공립7132133당곡중학교Dang-gok Middle School서울특별시동작관악교육지원청8711서울특별시 관악구 봉천로13길 101/ 당곡중학교 (봉천동)02-870-7700http://www.danggok.ms.kr02-871-9146남여공학<NA>N일반계<NA>전기주간1982120919830509B10서울특별시교육청서울특별시<NA><NA><NA>20230615
학교종류명설립구분표준학교코드학교명영문학교명관할조직명도로명우편번호도로명주소도로명상세주소전화번호홈페이지주소팩스번호남녀공학구분명고등학교구분명산업체특별학급존재여부고등학교일반실업구분명특수목적고등학교계열명입시전후기구분명주야구분명설립일자개교기념일시도교육청코드시도교육청명소재지명주야과정계열명학과명적재일시
245고등학교공립7010092신림고등학교Sillim High School서울특별시교육청8772서울특별시 관악구 문성로 119/ 신림고등학교 (신림동)02-6219-8300www.sillim.hs.kr02-869-1466남여공학일반고N일반계<NA>후기주간1986121719870506B10서울특별시교육청서울특별시주간일반계공통과정20230615
246고등학교공립7010081삼성고등학교Samsung High School서울특별시교육청8815서울특별시 관악구 신림로 41(신림동)02-871-7583http://www.samsung.hs.kr02-886-7251남여공학일반고N일반계<NA>후기주간1986011219860112B10서울특별시교육청서울특별시주간일반계공통과정20230615
247고등학교공립7010081삼성고등학교Samsung High School서울특별시교육청8815서울특별시 관악구 신림로 41(신림동)02-871-7583http://www.samsung.hs.kr02-886-7251남여공학일반고N일반계<NA>후기주간1986011219860112B10서울특별시교육청서울특별시주간일반계자연과정20230615
248고등학교공립7010081삼성고등학교Samsung High School서울특별시교육청8815서울특별시 관악구 신림로 41(신림동)02-871-7583http://www.samsung.hs.kr02-886-7251남여공학일반고N일반계<NA>후기주간1986011219860112B10서울특별시교육청서울특별시주간일반계일반학과20230615
249고등학교공립7010081삼성고등학교Samsung High School서울특별시교육청8815서울특별시 관악구 신림로 41(신림동)02-871-7583http://www.samsung.hs.kr02-886-7251남여공학일반고N일반계<NA>후기주간1986011219860112B10서울특별시교육청서울특별시주간일반계인문사회과정20230615
250고등학교공립7010073당곡고등학교Dang-gok High School서울특별시교육청8712서울특별시 관악구 봉천로21길 108/ 당곡고등학교 (봉천동)02-6717-5200http://www.danggok.hs.kr02-873-4617남여공학자율고N일반계<NA>후기주간1983122619840501B10서울특별시교육청서울특별시주간일반계자연과정20230615
251고등학교공립7010073당곡고등학교Dang-gok High School서울특별시교육청8712서울특별시 관악구 봉천로21길 108/ 당곡고등학교 (봉천동)02-6717-5200http://www.danggok.hs.kr02-873-4617남여공학자율고N일반계<NA>후기주간1983122619840501B10서울특별시교육청서울특별시주간일반계직업과정20230615
252고등학교공립7010073당곡고등학교Dang-gok High School서울특별시교육청8712서울특별시 관악구 봉천로21길 108/ 당곡고등학교 (봉천동)02-6717-5200http://www.danggok.hs.kr02-873-4617남여공학자율고N일반계<NA>후기주간1983122619840501B10서울특별시교육청서울특별시주간일반계공통과정20230615
253고등학교공립7010073당곡고등학교Dang-gok High School서울특별시교육청8712서울특별시 관악구 봉천로21길 108/ 당곡고등학교 (봉천동)02-6717-5200http://www.danggok.hs.kr02-873-4617남여공학자율고N일반계<NA>후기주간1983122619840501B10서울특별시교육청서울특별시주간일반계인문사회과정20230615
254고등학교공립7010073당곡고등학교Dang-gok High School서울특별시교육청8712서울특별시 관악구 봉천로21길 108/ 당곡고등학교 (봉천동)02-6717-5200http://www.danggok.hs.kr02-873-4617남여공학자율고N일반계<NA>후기주간1983122619840501B10서울특별시교육청서울특별시주간일반계일반학과20230615