Overview

Dataset statistics

Number of variables22
Number of observations313
Missing cells699
Missing cells (%)10.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory56.7 KiB
Average record size in memory185.4 B

Variable types

Categorical6
Numeric9
Text5
Boolean2

Dataset

Description행정구역명,학원/교습소,학원지정번호,학원명,도로명주소,도로명상세주소,분야명,교습계열명,교습과정목록명,교습과정명,정원합계,일시수용능력인원합계,인당수강료내용,수강료공개여부,기숙사학원여부,도로명우편번호,등록상태명,등록일자,휴원시작일자,휴원종료일자,개설일자,적재일시
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-20530/S/1/datasetView.do

Alerts

행정구역명 has constant value ""Constant
기숙사학원여부 has constant value ""Constant
등록상태명 has constant value ""Constant
수강료공개여부 is highly imbalanced (53.4%)Imbalance
교습과정목록명 has 93 (29.7%) missing valuesMissing
인당수강료내용 has 269 (85.9%) missing valuesMissing
휴원시작일자 has 307 (98.1%) missing valuesMissing
휴원종료일자 has 27 (8.6%) missing valuesMissing
학원지정번호 has unique valuesUnique
학원명 has unique valuesUnique
정원합계 has 16 (5.1%) zerosZeros
일시수용능력인원합계 has 8 (2.6%) zerosZeros

Reproduction

Analysis started2024-05-11 06:03:20.819636
Analysis finished2024-05-11 06:03:21.776629
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정구역명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
종로구
313 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
종로구 313
100.0%

Length

2024-05-11T15:03:21.889373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:03:22.055697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종로구 313
100.0%

학원/교습소
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
학원
216 
교습소
97 

Length

Max length3
Median length2
Mean length2.3099042
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
학원 216
69.0%
교습소 97
31.0%

Length

2024-05-11T15:03:22.205605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:03:22.386007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학원 216
69.0%
교습소 97
31.0%

학원지정번호
Real number (ℝ)

UNIQUE 

Distinct313
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1757478 × 109
Minimum1011
Maximum3.0000503 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T15:03:22.588195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1011
5-th percentile11400.8
Q11.0000215 × 109
median3.0000238 × 109
Q33.0000388 × 109
95-th percentile3.0000465 × 109
Maximum3.0000503 × 109
Range3.0000493 × 109
Interquartile range (IQR)2.0000174 × 109

Descriptive statistics

Standard deviation1.2446553 × 109
Coefficient of variation (CV)0.57205864
Kurtosis-0.87427875
Mean2.1757478 × 109
Median Absolute Deviation (MAD)17469
Skewness-0.97951109
Sum6.8100905 × 1011
Variance1.5491668 × 1018
MonotonicityNot monotonic
2024-05-11T15:03:22.842194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000019613 1
 
0.3%
3000036448 1
 
0.3%
3000037975 1
 
0.3%
3000037580 1
 
0.3%
3000037579 1
 
0.3%
3000037055 1
 
0.3%
3000036845 1
 
0.3%
3000036809 1
 
0.3%
3000036572 1
 
0.3%
3000036169 1
 
0.3%
Other values (303) 303
96.8%
ValueCountFrequency (%)
1011 1
0.3%
1015 1
0.3%
1398 1
0.3%
2707 1
0.3%
2935 1
0.3%
3437 1
0.3%
3697 1
0.3%
5021 1
0.3%
5661 1
0.3%
6057 1
0.3%
ValueCountFrequency (%)
3000050329 1
0.3%
3000050209 1
0.3%
3000050100 1
0.3%
3000049048 1
0.3%
3000048858 1
0.3%
3000048807 1
0.3%
3000048747 1
0.3%
3000048686 1
0.3%
3000048680 1
0.3%
3000048628 1
0.3%

학원명
Text

UNIQUE 

Distinct313
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-11T15:03:23.349702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length20
Mean length9.3578275
Min length4

Characters and Unicode

Total characters2929
Distinct characters404
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique313 ?
Unique (%)100.0%

Sample

1st rowYBM어학원
2nd row예림미용학원
3rd row세기음악학원
4th row수도어학학원
5th row종로스피치학원
ValueCountFrequency (%)
ybm어학원 1
 
0.3%
에듀플러스수학교습소 1
 
0.3%
고등수능영어교습소 1
 
0.3%
솔바이올린교습소 1
 
0.3%
현대통역학원 1
 
0.3%
타라폴댄스학원 1
 
0.3%
김지원영어학원 1
 
0.3%
훈샘국어교습소 1
 
0.3%
온코스원격학원 1
 
0.3%
영어학원 1
 
0.3%
Other values (321) 321
97.0%
2024-05-11T15:03:23.887759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 251
 
8.6%
원 235
 
8.0%
교 102
 
3.5%
소 99
 
3.4%
습 99
 
3.4%
스 64
 
2.2%
어 62
 
2.1%
아 62
 
2.1%
이 62
 
2.1%
미 50
 
1.7%
Other values (394) 1843
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2727
93.1%
Uppercase Letter 79
 
2.7%
Lowercase Letter 54
 
1.8%
Space Separator 18
 
0.6%
Close Punctuation 17
 
0.6%
Open Punctuation 17
 
0.6%
Other Punctuation 9
 
0.3%
Decimal Number 6
 
0.2%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 251
 
9.2%
원 235
 
8.6%
교 102
 
3.7%
소 99
 
3.6%
습 99
 
3.6%
스 64
 
2.3%
어 62
 
2.3%
아 62
 
2.3%
이 62
 
2.3%
미 50
 
1.8%
Other values (342) 1641
60.2%
Uppercase Letter
ValueCountFrequency (%)
A 12
15.2%
S 11
13.9%
B 6
 
7.6%
T 6
 
7.6%
K 5
 
6.3%
D 5
 
6.3%
I 5
 
6.3%
N 4
 
5.1%
E 4
 
5.1%
C 3
 
3.8%
Other values (11) 18
22.8%
Lowercase Letter
ValueCountFrequency (%)
e 10
18.5%
t 6
11.1%
a 4
 
7.4%
m 4
 
7.4%
p 3
 
5.6%
n 3
 
5.6%
s 3
 
5.6%
i 3
 
5.6%
r 3
 
5.6%
h 3
 
5.6%
Other values (9) 12
22.2%
Other Punctuation
ValueCountFrequency (%)
. 3
33.3%
, 3
33.3%
? 2
22.2%
& 1
 
11.1%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
3 1
 
16.7%
1 1
 
16.7%
4 1
 
16.7%
Space Separator
ValueCountFrequency (%)
18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2727
93.1%
Latin 133
 
4.5%
Common 69
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 251
 
9.2%
원 235
 
8.6%
교 102
 
3.7%
소 99
 
3.6%
습 99
 
3.6%
스 64
 
2.3%
어 62
 
2.3%
아 62
 
2.3%
이 62
 
2.3%
미 50
 
1.8%
Other values (342) 1641
60.2%
Latin
ValueCountFrequency (%)
A 12
 
9.0%
S 11
 
8.3%
e 10
 
7.5%
B 6
 
4.5%
T 6
 
4.5%
t 6
 
4.5%
K 5
 
3.8%
D 5
 
3.8%
I 5
 
3.8%
N 4
 
3.0%
Other values (30) 63
47.4%
Common
ValueCountFrequency (%)
18
26.1%
) 17
24.6%
( 17
24.6%
. 3
 
4.3%
2 3
 
4.3%
, 3
 
4.3%
- 2
 
2.9%
? 2
 
2.9%
& 1
 
1.4%
3 1
 
1.4%
Other values (2) 2
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2727
93.1%
ASCII 202
 
6.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 251
 
9.2%
원 235
 
8.6%
교 102
 
3.7%
소 99
 
3.6%
습 99
 
3.6%
스 64
 
2.3%
어 62
 
2.3%
아 62
 
2.3%
이 62
 
2.3%
미 50
 
1.8%
Other values (342) 1641
60.2%
ASCII
ValueCountFrequency (%)
18
 
8.9%
) 17
 
8.4%
( 17
 
8.4%
A 12
 
5.9%
S 11
 
5.4%
e 10
 
5.0%
B 6
 
3.0%
T 6
 
3.0%
t 6
 
3.0%
K 5
 
2.5%
Other values (42) 94
46.5%

도로명주소
Text

Distinct221
Distinct (%)70.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-11T15:03:24.353426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length17.511182
Min length15

Characters and Unicode

Total characters5481
Distinct characters80
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

Unique165 ?
Unique (%)52.7%

Sample

1st row서울특별시 종로구 종로 104
2nd row서울특별시 종로구 돈화문로9길 32
3rd row서울특별시 종로구 종로 65
4th row서울특별시 종로구 종로 403
5th row서울특별시 종로구 종로 123?
ValueCountFrequency (%)
서울특별시 313
25.0%
종로구 313
25.0%
종로 28
 
2.2%
혜화로 18
 
1.4%
송월길 17
 
1.4%
수표로 14
 
1.1%
통일로 13
 
1.0%
3 12
 
1.0%
자하문로 12
 
1.0%
평창문화로 10
 
0.8%
Other values (234) 502
40.1%
2024-05-11T15:03:25.090602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
939
17.1%
로 570
 
10.4%
종 350
 
6.4%
서 313
 
5.7%
구 313
 
5.7%
울 313
 
5.7%
시 313
 
5.7%
특 313
 
5.7%
별 313
 
5.7%
1 201
 
3.7%
Other values (70) 1543
28.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3608
65.8%
Space Separator 939
 
17.1%
Decimal Number 886
 
16.2%
Dash Punctuation 43
 
0.8%
Other Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 570
15.8%
종 350
9.7%
서 313
8.7%
구 313
8.7%
울 313
8.7%
시 313
8.7%
특 313
8.7%
별 313
8.7%
길 133
 
3.7%
화 48
 
1.3%
Other values (56) 629
17.4%
Decimal Number
ValueCountFrequency (%)
1 201
22.7%
2 143
16.1%
9 82
9.3%
3 82
9.3%
6 81
9.1%
4 81
9.1%
5 66
 
7.4%
8 53
 
6.0%
7 49
 
5.5%
0 48
 
5.4%
Other Punctuation
ValueCountFrequency (%)
? 4
80.0%
, 1
 
20.0%
Space Separator
ValueCountFrequency (%)
939
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3608
65.8%
Common 1873
34.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 570
15.8%
종 350
9.7%
서 313
8.7%
구 313
8.7%
울 313
8.7%
시 313
8.7%
특 313
8.7%
별 313
8.7%
길 133
 
3.7%
화 48
 
1.3%
Other values (56) 629
17.4%
Common
ValueCountFrequency (%)
939
50.1%
1 201
 
10.7%
2 143
 
7.6%
9 82
 
4.4%
3 82
 
4.4%
6 81
 
4.3%
4 81
 
4.3%
5 66
 
3.5%
8 53
 
2.8%
7 49
 
2.6%
Other values (4) 96
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3608
65.8%
ASCII 1873
34.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
939
50.1%
1 201
 
10.7%
2 143
 
7.6%
9 82
 
4.4%
3 82
 
4.4%
6 81
 
4.3%
4 81
 
4.3%
5 66
 
3.5%
8 53
 
2.8%
7 49
 
2.6%
Other values (4) 96
 
5.1%
Hangul
ValueCountFrequency (%)
로 570
15.8%
종 350
9.7%
서 313
8.7%
구 313
8.7%
울 313
8.7%
시 313
8.7%
특 313
8.7%
별 313
8.7%
길 133
 
3.7%
화 48
 
1.3%
Other values (56) 629
17.4%

도로명상세주소
Text

Distinct288
Distinct (%)92.3%
Missing1
Missing (%)0.3%
Memory size2.6 KiB
2024-05-11T15:03:25.420502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length33
Mean length15.50641
Min length2

Characters and Unicode

Total characters4838
Distinct characters226
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique271 ?
Unique (%)86.9%

Sample

1st row, 1층/3~8층 및 9층 일부 (종로2가, YBM)
2nd row, 1,3층 (낙원동)
3rd row, 4층 (종로2가)
4th row, 1~5층 (숭인동)
5th row7층(종로3가)
ValueCountFrequency (%)
231
 
21.1%
2층 62
 
5.7%
3층 43
 
3.9%
일부 36
 
3.3%
1층 27
 
2.5%
4층 26
 
2.4%
관철동 22
 
2.0%
평창동 21
 
1.9%
종로2가 16
 
1.5%
6층 16
 
1.5%
Other values (314) 594
54.3%
2024-05-11T15:03:25.959710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
786
16.2%
, 384
 
7.9%
( 318
 
6.6%
) 317
 
6.6%
동 282
 
5.8%
층 280
 
5.8%
2 178
 
3.7%
1 128
 
2.6%
3 109
 
2.3%
호 92
 
1.9%
Other values (216) 1964
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2267
46.9%
Space Separator 786
 
16.2%
Decimal Number 712
 
14.7%
Other Punctuation 395
 
8.2%
Open Punctuation 318
 
6.6%
Close Punctuation 317
 
6.6%
Math Symbol 16
 
0.3%
Uppercase Letter 16
 
0.3%
Dash Punctuation 11
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 282
 
12.4%
층 280
 
12.4%
호 92
 
4.1%
가 82
 
3.6%
빌 75
 
3.3%
딩 73
 
3.2%
일 64
 
2.8%
부 62
 
2.7%
로 46
 
2.0%
관 44
 
1.9%
Other values (191) 1167
51.5%
Decimal Number
ValueCountFrequency (%)
2 178
25.0%
1 128
18.0%
3 109
15.3%
0 88
12.4%
4 74
10.4%
5 52
 
7.3%
6 41
 
5.8%
7 22
 
3.1%
8 12
 
1.7%
9 8
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
A 5
31.2%
B 4
25.0%
M 2
 
12.5%
Y 2
 
12.5%
L 1
 
6.2%
S 1
 
6.2%
C 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 384
97.2%
/ 10
 
2.5%
? 1
 
0.3%
Space Separator
ValueCountFrequency (%)
786
100.0%
Open Punctuation
ValueCountFrequency (%)
( 318
100.0%
Close Punctuation
ValueCountFrequency (%)
) 317
100.0%
Math Symbol
ValueCountFrequency (%)
~ 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2555
52.8%
Hangul 2267
46.9%
Latin 16
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 282
 
12.4%
층 280
 
12.4%
호 92
 
4.1%
가 82
 
3.6%
빌 75
 
3.3%
딩 73
 
3.2%
일 64
 
2.8%
부 62
 
2.7%
로 46
 
2.0%
관 44
 
1.9%
Other values (191) 1167
51.5%
Common
ValueCountFrequency (%)
786
30.8%
, 384
15.0%
( 318
12.4%
) 317
12.4%
2 178
 
7.0%
1 128
 
5.0%
3 109
 
4.3%
0 88
 
3.4%
4 74
 
2.9%
5 52
 
2.0%
Other values (8) 121
 
4.7%
Latin
ValueCountFrequency (%)
A 5
31.2%
B 4
25.0%
M 2
 
12.5%
Y 2
 
12.5%
L 1
 
6.2%
S 1
 
6.2%
C 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2571
53.1%
Hangul 2267
46.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
786
30.6%
, 384
14.9%
( 318
12.4%
) 317
12.3%
2 178
 
6.9%
1 128
 
5.0%
3 109
 
4.2%
0 88
 
3.4%
4 74
 
2.9%
5 52
 
2.0%
Other values (15) 137
 
5.3%
Hangul
ValueCountFrequency (%)
동 282
 
12.4%
층 280
 
12.4%
호 92
 
4.1%
가 82
 
3.6%
빌 75
 
3.3%
딩 73
 
3.2%
일 64
 
2.8%
부 62
 
2.7%
로 46
 
2.0%
관 44
 
1.9%
Other values (191) 1167
51.5%

분야명
Categorical

Distinct10
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
입시.검정 및 보습
102 
예능(대)
68 
직업기술
36 
기예(대)
28 
국제화
27 
Other values (5)
52 

Length

Max length10
Median length7
Mean length6.3801917
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row종합(대)
2nd row직업기술
3rd row기예(대)
4th row국제화
5th row기예(대)

Common Values

ValueCountFrequency (%)
입시.검정 및 보습 102
32.6%
예능(대) 68
21.7%
직업기술 36
 
11.5%
기예(대) 28
 
8.9%
국제화 27
 
8.6%
종합(대) 19
 
6.1%
인문사회(대) 15
 
4.8%
기타(대) 10
 
3.2%
독서실 6
 
1.9%
정보 2
 
0.6%

Length

2024-05-11T15:03:26.159839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:03:26.344758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
입시.검정 102
19.7%
및 102
19.7%
보습 102
19.7%
예능(대 68
13.2%
직업기술 36
 
7.0%
기예(대 28
 
5.4%
국제화 27
 
5.2%
종합(대 19
 
3.7%
인문사회(대 15
 
2.9%
기타(대 10
 
1.9%
Other values (2) 8
 
1.5%

교습계열명
Categorical

Distinct15
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
보통교과
99 
예능(중)
62 
<NA>
44 
기예(중)
25 
국제
18 
Other values (10)
65 

Length

Max length7
Median length6
Mean length4.4185304
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row<NA>
2nd row산업응용기술
3rd row기예(중)
4th row국제
5th row기예(중)

Common Values

ValueCountFrequency (%)
보통교과 99
31.6%
예능(중) 62
19.8%
<NA> 44
14.1%
기예(중) 25
 
8.0%
국제 18
 
5.8%
산업응용기술 16
 
5.1%
인문사회(중) 14
 
4.5%
산업기반기술 8
 
2.6%
외국어 8
 
2.6%
기타(중) 8
 
2.6%
Other values (5) 11
 
3.5%

Length

2024-05-11T15:03:26.564476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
보통교과 99
31.6%
예능(중 62
19.8%
na 44
14.1%
기예(중 25
 
8.0%
국제 18
 
5.8%
산업응용기술 16
 
5.1%
인문사회(중 14
 
4.5%
산업기반기술 8
 
2.6%
외국어 8
 
2.6%
기타(중 8
 
2.6%
Other values (5) 11
 
3.5%

교습과정목록명
Text

MISSING 

Distinct115
Distinct (%)52.3%
Missing93
Missing (%)29.7%
Memory size2.6 KiB
2024-05-11T15:03:26.943743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length29
Mean length6.1727273
Min length2

Characters and Unicode

Total characters1358
Distinct characters142
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)39.1%

Sample

1st row어학(성인)
2nd row이?미용,
3rd row실용음악(성악),
4th row어학(성인)
5th row화술,
ValueCountFrequency (%)
보습 44
 
19.0%
어학(성인 16
 
6.9%
성인고시 10
 
4.3%
식음료품(바리스타,소믈리에 9
 
3.9%
미술 9
 
3.9%
실용음악(성악 8
 
3.5%
음악 5
 
2.2%
피아노 5
 
2.2%
디자인 4
 
1.7%
보습?논술 4
 
1.7%
Other values (88) 117
50.6%
2024-05-11T15:03:27.474187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 144
 
10.6%
( 74
 
5.4%
) 74
 
5.4%
보 58
 
4.3%
습 52
 
3.8%
인 44
 
3.2%
성 40
 
2.9%
어 37
 
2.7%
학 36
 
2.7%
초 29
 
2.1%
Other values (132) 770
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 996
73.3%
Other Punctuation 173
 
12.7%
Open Punctuation 74
 
5.4%
Close Punctuation 74
 
5.4%
Decimal Number 21
 
1.5%
Space Separator 11
 
0.8%
Uppercase Letter 6
 
0.4%
Math Symbol 1
 
0.1%
Dash Punctuation 1
 
0.1%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 58
 
5.8%
습 52
 
5.2%
인 44
 
4.4%
성 40
 
4.0%
어 37
 
3.7%
학 36
 
3.6%
초 29
 
2.9%
리 24
 
2.4%
기 23
 
2.3%
술 23
 
2.3%
Other values (115) 630
63.3%
Decimal Number
ValueCountFrequency (%)
1 13
61.9%
3 2
 
9.5%
5 2
 
9.5%
6 2
 
9.5%
2 1
 
4.8%
4 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 144
83.2%
? 21
 
12.1%
/ 8
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
A 5
83.3%
D 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 74
100.0%
Close Punctuation
ValueCountFrequency (%)
) 74
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 996
73.3%
Common 355
 
26.1%
Latin 7
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 58
 
5.8%
습 52
 
5.2%
인 44
 
4.4%
성 40
 
4.0%
어 37
 
3.7%
학 36
 
3.6%
초 29
 
2.9%
리 24
 
2.4%
기 23
 
2.3%
술 23
 
2.3%
Other values (115) 630
63.3%
Common
ValueCountFrequency (%)
, 144
40.6%
( 74
20.8%
) 74
20.8%
? 21
 
5.9%
1 13
 
3.7%
11
 
3.1%
/ 8
 
2.3%
3 2
 
0.6%
5 2
 
0.6%
6 2
 
0.6%
Other values (4) 4
 
1.1%
Latin
ValueCountFrequency (%)
A 5
71.4%
D 1
 
14.3%
Ⅱ 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 996
73.3%
ASCII 361
 
26.6%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 144
39.9%
( 74
20.5%
) 74
20.5%
? 21
 
5.8%
1 13
 
3.6%
11
 
3.0%
/ 8
 
2.2%
A 5
 
1.4%
3 2
 
0.6%
5 2
 
0.6%
Other values (6) 7
 
1.9%
Hangul
ValueCountFrequency (%)
보 58
 
5.8%
습 52
 
5.2%
인 44
 
4.4%
성 40
 
4.0%
어 37
 
3.7%
학 36
 
3.6%
초 29
 
2.9%
리 24
 
2.4%
기 23
 
2.3%
술 23
 
2.3%
Other values (115) 630
63.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

교습과정명
Categorical

Distinct42
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
보습
85 
<NA>
44 
음악
37 
미술
25 
어학(성인)
15 
Other values (37)
107 

Length

Max length24
Median length2
Mean length4.2204473
Min length2

Unique

Unique15 ?
Unique (%)4.8%

Sample

1st row<NA>
2nd row이?미용
3rd row실용음악(성악)
4th row어학(성인)
5th row화술

Common Values

ValueCountFrequency (%)
보습 85
27.2%
<NA> 44
14.1%
음악 37
11.8%
미술 25
 
8.0%
어학(성인) 15
 
4.8%
보습?논술 12
 
3.8%
식음료품(바리스타,소믈리에) 10
 
3.2%
실용음악(성악) 9
 
2.9%
성인고시 8
 
2.6%
실용외국어(유아/초?중?고) 8
 
2.6%
Other values (32) 60
19.2%

Length

2024-05-11T15:03:27.628510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
보습 85
27.2%
na 44
14.1%
음악 37
11.8%
미술 25
 
8.0%
어학(성인 15
 
4.8%
보습?논술 12
 
3.8%
식음료품(바리스타,소믈리에 10
 
3.2%
실용음악(성악 9
 
2.9%
성인고시 8
 
2.6%
실용외국어(유아/초?중?고 8
 
2.6%
Other values (32) 60
19.2%

정원합계
Real number (ℝ)

ZEROS 

Distinct150
Distinct (%)47.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean586.76997
Minimum0
Maximum14808
Zeros16
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T15:03:27.779924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6
Q120
median52
Q3206
95-th percentile2977.2
Maximum14808
Range14808
Interquartile range (IQR)186

Descriptive statistics

Standard deviation1818.7165
Coefficient of variation (CV)3.0995392
Kurtosis26.697573
Mean586.76997
Median Absolute Deviation (MAD)42
Skewness4.9520401
Sum183659
Variance3307729.7
MonotonicityNot monotonic
2024-05-11T15:03:27.958843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16
 
5.1%
15 11
 
3.5%
12 10
 
3.2%
20 9
 
2.9%
30 9
 
2.9%
18 8
 
2.6%
40 7
 
2.2%
36 7
 
2.2%
27 7
 
2.2%
25 6
 
1.9%
Other values (140) 223
71.2%
ValueCountFrequency (%)
0 16
5.1%
1 1
 
0.3%
4 2
 
0.6%
5 1
 
0.3%
6 3
 
1.0%
7 1
 
0.3%
8 1
 
0.3%
9 2
 
0.6%
10 6
 
1.9%
11 1
 
0.3%
ValueCountFrequency (%)
14808 1
0.3%
11973 1
0.3%
10470 1
0.3%
10063 1
0.3%
9640 2
0.6%
8402 1
0.3%
8080 1
0.3%
7000 1
0.3%
6935 1
0.3%
4500 1
0.3%

일시수용능력인원합계
Real number (ℝ)

ZEROS 

Distinct128
Distinct (%)40.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.32588
Minimum0
Maximum1701
Zeros8
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T15:03:28.124473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q18
median65
Q3106
95-th percentile512.2
Maximum1701
Range1701
Interquartile range (IQR)98

Descriptive statistics

Standard deviation226.40812
Coefficient of variation (CV)1.8816245
Kurtosis16.98708
Mean120.32588
Median Absolute Deviation (MAD)56
Skewness3.8889078
Sum37662
Variance51260.637
MonotonicityNot monotonic
2024-05-11T15:03:28.280006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 30
 
9.6%
9 25
 
8.0%
6 12
 
3.8%
4 9
 
2.9%
70 8
 
2.6%
0 8
 
2.6%
7 7
 
2.2%
8 7
 
2.2%
50 7
 
2.2%
71 6
 
1.9%
Other values (118) 194
62.0%
ValueCountFrequency (%)
0 8
 
2.6%
1 1
 
0.3%
2 2
 
0.6%
3 4
 
1.3%
4 9
 
2.9%
5 30
9.6%
6 12
 
3.8%
7 7
 
2.2%
8 7
 
2.2%
9 25
8.0%
ValueCountFrequency (%)
1701 1
 
0.3%
1370 1
 
0.3%
1313 1
 
0.3%
1041 1
 
0.3%
999 6
1.9%
940 1
 
0.3%
828 1
 
0.3%
708 1
 
0.3%
660 1
 
0.3%
622 1
 
0.3%

인당수강료내용
Text

MISSING 

Distinct43
Distinct (%)97.7%
Missing269
Missing (%)85.9%
Memory size2.6 KiB
2024-05-11T15:03:28.552780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length240
Median length122
Mean length81.045455
Min length11

Characters and Unicode

Total characters3566
Distinct characters107
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)95.5%

Sample

1st row미술 초,중등:120000, 미술 입시:400000, 미술 (방학 입시특강):650000
2nd row미술 입시:150000, 이술 일반:130000
3rd row초급반(초등부):120000, 중급반(중1-중3):200000, 예비반(고1):250000, 예비반(고2):300000, 입시반(고3):400000, 초급반:100000, 초등미술1:100000, 초등미술2:120000, 중등미술1:200000, 고등미술1:300000, 고등미술2:400000, 고등미술3:500000
4th row바이엘:150000, 체르니100번:160000, 체르니30번:170000, 체르니40번:170000, 체르니50번:180000
5th row바이엘:130000, 체르니30:140000, 체르니40(고급):150000, 피아노A:110000
ValueCountFrequency (%)
수학 12
 
3.9%
피아노 11
 
3.6%
바이올린 9
 
3.0%
미술 8
 
2.6%
초등1-6 4
 
1.3%
중등1-3 4
 
1.3%
고등1-3 3
 
1.0%
a 3
 
1.0%
b 3
 
1.0%
c 3
 
1.0%
Other values (234) 245
80.3%
2024-05-11T15:03:29.010867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 972
27.3%
262
 
7.3%
: 239
 
6.7%
, 202
 
5.7%
1 166
 
4.7%
2 109
 
3.1%
) 104
 
2.9%
( 104
 
2.9%
5 103
 
2.9%
등 101
 
2.8%
Other values (97) 1204
33.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1575
44.2%
Other Letter 986
27.7%
Other Punctuation 443
 
12.4%
Space Separator 262
 
7.3%
Close Punctuation 104
 
2.9%
Open Punctuation 104
 
2.9%
Uppercase Letter 70
 
2.0%
Dash Punctuation 14
 
0.4%
Letter Number 6
 
0.2%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
등 101
 
10.2%
학 76
 
7.7%
수 72
 
7.3%
고 66
 
6.7%
중 55
 
5.6%
초 43
 
4.4%
급 41
 
4.2%
피 35
 
3.5%
어 35
 
3.5%
아 35
 
3.5%
Other values (62) 427
43.3%
Uppercase Letter
ValueCountFrequency (%)
A 14
20.0%
B 13
18.6%
C 9
12.9%
S 6
8.6%
R 6
8.6%
D 5
 
7.1%
H 5
 
7.1%
F 4
 
5.7%
K 4
 
5.7%
E 1
 
1.4%
Other values (3) 3
 
4.3%
Decimal Number
ValueCountFrequency (%)
0 972
61.7%
1 166
 
10.5%
2 109
 
6.9%
5 103
 
6.5%
3 97
 
6.2%
4 45
 
2.9%
6 36
 
2.3%
7 18
 
1.1%
8 18
 
1.1%
9 11
 
0.7%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
33.3%
Ⅰ 2
33.3%
Ⅳ 1
16.7%
Ⅲ 1
16.7%
Other Punctuation
ValueCountFrequency (%)
: 239
54.0%
, 202
45.6%
/ 2
 
0.5%
Space Separator
ValueCountFrequency (%)
262
100.0%
Close Punctuation
ValueCountFrequency (%)
) 104
100.0%
Open Punctuation
ValueCountFrequency (%)
( 104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2504
70.2%
Hangul 986
 
27.7%
Latin 76
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
등 101
 
10.2%
학 76
 
7.7%
수 72
 
7.3%
고 66
 
6.7%
중 55
 
5.6%
초 43
 
4.4%
급 41
 
4.2%
피 35
 
3.5%
어 35
 
3.5%
아 35
 
3.5%
Other values (62) 427
43.3%
Common
ValueCountFrequency (%)
0 972
38.8%
262
 
10.5%
: 239
 
9.5%
, 202
 
8.1%
1 166
 
6.6%
2 109
 
4.4%
) 104
 
4.2%
( 104
 
4.2%
5 103
 
4.1%
3 97
 
3.9%
Other values (8) 146
 
5.8%
Latin
ValueCountFrequency (%)
A 14
18.4%
B 13
17.1%
C 9
11.8%
S 6
7.9%
R 6
7.9%
D 5
 
6.6%
H 5
 
6.6%
F 4
 
5.3%
K 4
 
5.3%
Ⅱ 2
 
2.6%
Other values (7) 8
10.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2574
72.2%
Hangul 983
 
27.6%
Number Forms 6
 
0.2%
Compat Jamo 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 972
37.8%
262
 
10.2%
: 239
 
9.3%
, 202
 
7.8%
1 166
 
6.4%
2 109
 
4.2%
) 104
 
4.0%
( 104
 
4.0%
5 103
 
4.0%
3 97
 
3.8%
Other values (21) 216
 
8.4%
Hangul
ValueCountFrequency (%)
등 101
 
10.3%
학 76
 
7.7%
수 72
 
7.3%
고 66
 
6.7%
중 55
 
5.6%
초 43
 
4.4%
급 41
 
4.2%
피 35
 
3.6%
어 35
 
3.6%
아 35
 
3.6%
Other values (61) 424
43.1%
Compat Jamo
ValueCountFrequency (%)
ㅁ 3
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
33.3%
Ⅰ 2
33.3%
Ⅳ 1
16.7%
Ⅲ 1
16.7%

수강료공개여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size445.0 B
True
282 
False
31 
ValueCountFrequency (%)
True 282
90.1%
False 31
 
9.9%
2024-05-11T15:03:29.150165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기숙사학원여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing2
Missing (%)0.6%
Memory size758.0 B
False
311 
(Missing)
 
2
ValueCountFrequency (%)
False 311
99.4%
(Missing) 2
 
0.6%
2024-05-11T15:03:29.259701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

도로명우편번호
Real number (ℝ)

Distinct121
Distinct (%)38.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41193.917
Minimum3004
Maximum110888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T15:03:29.413256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3004
5-th percentile3010.2
Q13073
median3165
Q3110122
95-th percentile110847
Maximum110888
Range107884
Interquartile range (IQR)107049

Descriptive statistics

Standard deviation51467.561
Coefficient of variation (CV)1.2493971
Kurtosis-1.6374889
Mean41193.917
Median Absolute Deviation (MAD)135
Skewness0.6106938
Sum12893696
Variance2.6489099 × 109
MonotonicityNot monotonic
2024-05-11T15:03:29.575736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
110111 13
 
4.2%
3165 10
 
3.2%
110847 9
 
2.9%
3068 8
 
2.6%
3189 8
 
2.6%
3008 7
 
2.2%
3014 7
 
2.2%
3166 7
 
2.2%
3192 7
 
2.2%
3139 6
 
1.9%
Other values (111) 231
73.8%
ValueCountFrequency (%)
3004 1
 
0.3%
3007 2
 
0.6%
3008 7
2.2%
3009 6
1.9%
3011 1
 
0.3%
3012 1
 
0.3%
3013 3
1.0%
3014 7
2.2%
3017 1
 
0.3%
3019 2
 
0.6%
ValueCountFrequency (%)
110888 1
 
0.3%
110863 4
1.3%
110862 4
1.3%
110847 9
2.9%
110840 1
 
0.3%
110838 3
 
1.0%
110837 1
 
0.3%
110836 1
 
0.3%
110835 1
 
0.3%
110831 4
1.3%

등록상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
개원
313 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개원 313
100.0%

Length

2024-05-11T15:03:29.717368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:03:29.820378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개원 313
100.0%

등록일자
Real number (ℝ)

Distinct297
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20120410
Minimum19560401
Maximum20240502
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T15:03:29.949443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19560401
5-th percentile19866409
Q120080910
median20150518
Q320210407
95-th percentile20231023
Maximum20240502
Range680101
Interquartile range (IQR)129497

Descriptive statistics

Standard deviation123715.3
Coefficient of variation (CV)0.0061487463
Kurtosis6.3583699
Mean20120410
Median Absolute Deviation (MAD)60006
Skewness-2.2804164
Sum6.2976883 × 109
Variance1.5305475 × 1010
MonotonicityNot monotonic
2024-05-11T15:03:30.180840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20221228 3
 
1.0%
20230704 2
 
0.6%
20141226 2
 
0.6%
20210830 2
 
0.6%
20210524 2
 
0.6%
20211026 2
 
0.6%
20210407 2
 
0.6%
20120209 2
 
0.6%
20221021 2
 
0.6%
20121205 2
 
0.6%
Other values (287) 292
93.3%
ValueCountFrequency (%)
19560401 1
0.3%
19561209 1
0.3%
19581203 1
0.3%
19620122 1
0.3%
19631010 1
0.3%
19661231 1
0.3%
19670209 1
0.3%
19690404 1
0.3%
19701107 1
0.3%
19701118 1
0.3%
ValueCountFrequency (%)
20240502 1
0.3%
20240412 1
0.3%
20240328 1
0.3%
20240325 1
0.3%
20240228 1
0.3%
20240221 1
0.3%
20240208 1
0.3%
20240130 1
0.3%
20240129 1
0.3%
20240119 1
0.3%

휴원시작일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing307
Missing (%)98.1%
Infinite0
Infinite (%)0.0%
Mean20177343
Minimum20150101
Maximum20230818
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T15:03:30.422488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20150101
5-th percentile20150230
Q120155486
median20170654
Q320186215
95-th percentile20220918
Maximum20230818
Range80717
Interquartile range (IQR)30728.25

Descriptive statistics

Standard deviation30327.086
Coefficient of variation (CV)0.0015030267
Kurtosis1.4287798
Mean20177343
Median Absolute Deviation (MAD)20296.5
Skewness1.2439764
Sum1.2106406 × 108
Variance9.1973217 × 108
MonotonicityNot monotonic
2024-05-11T15:03:30.607772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20171208 1
 
0.3%
20150101 1
 
0.3%
20191217 1
 
0.3%
20150615 1
 
0.3%
20170101 1
 
0.3%
20230818 1
 
0.3%
(Missing) 307
98.1%
ValueCountFrequency (%)
20150101 1
0.3%
20150615 1
0.3%
20170101 1
0.3%
20171208 1
0.3%
20191217 1
0.3%
20230818 1
0.3%
ValueCountFrequency (%)
20230818 1
0.3%
20191217 1
0.3%
20171208 1
0.3%
20170101 1
0.3%
20150615 1
0.3%
20150101 1
0.3%

휴원종료일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)2.4%
Missing27
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean98316887
Minimum20150301
Maximum99991231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T15:03:30.767373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20150301
5-th percentile99991231
Q199991231
median99991231
Q399991231
95-th percentile99991231
Maximum99991231
Range79840930
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11457994
Coefficient of variation (CV)0.11654146
Kurtosis43.465196
Mean98316887
Median Absolute Deviation (MAD)0
Skewness-6.7202142
Sum2.811863 × 1010
Variance1.3128562 × 1014
MonotonicityNot monotonic
2024-05-11T15:03:30.932112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
99991231 280
89.5%
20181231 1
 
0.3%
20150301 1
 
0.3%
20201216 1
 
0.3%
20150630 1
 
0.3%
20170630 1
 
0.3%
20231124 1
 
0.3%
(Missing) 27
 
8.6%
ValueCountFrequency (%)
20150301 1
 
0.3%
20150630 1
 
0.3%
20170630 1
 
0.3%
20181231 1
 
0.3%
20201216 1
 
0.3%
20231124 1
 
0.3%
99991231 280
89.5%
ValueCountFrequency (%)
99991231 280
89.5%
20231124 1
 
0.3%
20201216 1
 
0.3%
20181231 1
 
0.3%
20170630 1
 
0.3%
20150630 1
 
0.3%
20150301 1
 
0.3%

개설일자
Real number (ℝ)

Distinct297
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20120826
Minimum19560401
Maximum20240502
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T15:03:31.532518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19560401
5-th percentile19866409
Q120090626
median20150429
Q320210407
95-th percentile20231023
Maximum20240502
Range680101
Interquartile range (IQR)119781

Descriptive statistics

Standard deviation123589.76
Coefficient of variation (CV)0.0061423798
Kurtosis6.4274261
Mean20120826
Median Absolute Deviation (MAD)59978
Skewness-2.2958082
Sum6.2978187 × 109
Variance1.5274428 × 1010
MonotonicityNot monotonic
2024-05-11T15:03:31.803110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20221228 3
 
1.0%
20230704 2
 
0.6%
20141226 2
 
0.6%
20210830 2
 
0.6%
20210524 2
 
0.6%
20211026 2
 
0.6%
20210407 2
 
0.6%
20120209 2
 
0.6%
20221021 2
 
0.6%
20121205 2
 
0.6%
Other values (287) 292
93.3%
ValueCountFrequency (%)
19560401 1
0.3%
19561209 1
0.3%
19581203 1
0.3%
19620122 1
0.3%
19631010 1
0.3%
19661231 1
0.3%
19670209 1
0.3%
19690404 1
0.3%
19701107 1
0.3%
19701118 1
0.3%
ValueCountFrequency (%)
20240502 1
0.3%
20240412 1
0.3%
20240328 1
0.3%
20240325 1
0.3%
20240228 1
0.3%
20240221 1
0.3%
20240213 1
0.3%
20240130 1
0.3%
20240129 1
0.3%
20240119 1
0.3%

적재일시
Real number (ℝ)

Distinct19
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20233445
Minimum20231018
Maximum20240505
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T15:03:32.031561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20231018
5-th percentile20231018
Q120231018
median20231018
Q320240128
95-th percentile20240428
Maximum20240505
Range9487
Interquartile range (IQR)9110

Descriptive statistics

Standard deviation4086.4319
Coefficient of variation (CV)0.00020196422
Kurtosis-0.77714009
Mean20233445
Median Absolute Deviation (MAD)0
Skewness1.1072613
Sum6.3330684 × 109
Variance16698926
MonotonicityNot monotonic
2024-05-11T15:03:32.203782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
20231018 202
64.5%
20240428 23
 
7.3%
20240505 14
 
4.5%
20240128 12
 
3.8%
20240317 12
 
3.8%
20240225 10
 
3.2%
20240407 6
 
1.9%
20231119 6
 
1.9%
20231231 6
 
1.9%
20231105 4
 
1.3%
Other values (9) 18
 
5.8%
ValueCountFrequency (%)
20231018 202
64.5%
20231023 2
 
0.6%
20231029 2
 
0.6%
20231105 4
 
1.3%
20231119 6
 
1.9%
20231126 3
 
1.0%
20231206 2
 
0.6%
20231210 1
 
0.3%
20231217 3
 
1.0%
20231224 1
 
0.3%
ValueCountFrequency (%)
20240505 14
4.5%
20240428 23
7.3%
20240407 6
 
1.9%
20240331 3
 
1.0%
20240324 1
 
0.3%
20240317 12
3.8%
20240225 10
3.2%
20240128 12
3.8%
20231231 6
 
1.9%
20231224 1
 
0.3%

Sample

행정구역명학원/교습소학원지정번호학원명도로명주소도로명상세주소분야명교습계열명교습과정목록명교습과정명정원합계일시수용능력인원합계인당수강료내용수강료공개여부기숙사학원여부도로명우편번호등록상태명등록일자휴원시작일자휴원종료일자개설일자적재일시
0종로구학원1000019613YBM어학원서울특별시 종로구 종로 104, 1층/3~8층 및 9층 일부 (종로2가, YBM)종합(대)<NA>어학(성인)<NA>119731701<NA>YN3191개원19561209<NA>999912311956120920240428
1종로구학원1000019636예림미용학원서울특별시 종로구 돈화문로9길 32, 1,3층 (낙원동)직업기술산업응용기술이?미용,이?미용512138<NA>YN3139개원19581203<NA>999912311958120320231018
2종로구학원1000019711세기음악학원서울특별시 종로구 종로 65, 4층 (종로2가)기예(대)기예(중)실용음악(성악),실용음악(성악)27070<NA>YN3164개원19620122<NA>999912311962012220231018
3종로구학원1000019747수도어학학원서울특별시 종로구 종로 403, 1~5층 (숭인동)국제화국제어학(성인)어학(성인)320940<NA>YN3111개원19631010<NA>999912311963101020240428
4종로구학원1000019805종로스피치학원서울특별시 종로구 종로 123?7층(종로3가)기예(대)기예(중)화술,화술39071<NA>YN110123개원19661231<NA>999912311966123120231018
5종로구학원1000019881와이비엠종로이포유어학원서울특별시 종로구 삼일대로20길 6, 1~5층,7층,9층 (관철동)종합(대)<NA>어학(성인)<NA>9640828<NA>YN3191개원19670209<NA>999912311967020920240505
6종로구학원1000020039한국보석학원서울특별시 종로구 수표로 115-1, 3-5층 (낙원동)종합(대)<NA>금속,컴퓨터,컴퓨터(정보처리,통신기기,인터넷,소프트웨어)<NA>445166<NA>YN3140개원19690404<NA>999912311969040420240324
7종로구학원1000020112PAGODA어학원서울특별시 종로구 청계천로 93, 2~7층/11층/12층 일부/14층 (관철동, 파고다타워)종합(대)<NA>어학(성인)<NA>19831313<NA>YN3191개원19701118<NA>999912311970111820240428
8종로구학원1000020130한양목공예학원서울특별시 종로구 수표로 108금강빌딩4층 (낙원동)직업기술산업기반기술공예,공예3030<NA>YN110320개원19701107<NA>999912311970110720231018
9종로구학원1000020145노라노패션학원서울특별시 종로구 종로 393-1, 3층,4층 (숭인동)직업기술산업기반기술의복의복770137<NA>YN110863개원19710520<NA>999912311971052020240225
행정구역명학원/교습소학원지정번호학원명도로명주소도로명상세주소분야명교습계열명교습과정목록명교습과정명정원합계일시수용능력인원합계인당수강료내용수강료공개여부기숙사학원여부도로명우편번호등록상태명등록일자휴원시작일자휴원종료일자개설일자적재일시
303종로구교습소3437민들레피아노서울특별시 종로구 지봉로5길 7두산아파트 상가 204호 (창신동)예능(대)예능(중)피아노(초급)음악124피아노(초급):95000, 피아노(중급):105000, 피아노(고급):115000NN110757개원20030828<NA>999912312003082820231018
304종로구학원3697강남학원서울특별시 종로구 지봉로12길 32층 (숭인동)입시.검정 및 보습보통교과보습보습130207<NA>YN110862개원20040114<NA>999912312004011420240317
305종로구학원5021현대건축디자인학원서울특별시 종로구 종로 117?3층, 4층(종로3가)직업기술산업기반기술건축,건축20534<NA>YN110123개원20040504<NA>999912312004050420231018
306종로구학원5661수풀림학원서울특별시 종로구 평창문화로 51, 4층 (평창동,주택은행)입시.검정 및 보습보통교과보습,보습2087<NA>YN110847개원20040709<NA>999912312004071020231119
307종로구학원6057한국화원협회아카데미학원서울특별시 종로구 지봉로 29, 701호 (창신동, 금호팔레스)기예(대)기예(중)<NA>공예(종이접기,꽃꽂이,꽃기예)2563<NA>YN3121개원20040819<NA>999912312011010120231018
308종로구학원6518위아스(WIAS)국제회계학원서울특별시 종로구 새문안로 89, 7층 (신문로1가, 정우빌딩)인문사회(대)인문사회(중)회계,회계450078<NA>YN110061개원20040923<NA>999912312004092320231018
309종로구교습소6807내자연세음악교습소서울특별시 종로구 사직로8길 15-2, 2층 (내자동)예능(대)예능(중)피아노 초급음악164피아노 초급:120000, 피아노 중급1:130000, 피아노 중급2:140000, 피아노 고급:150000YN110053개원20040921<NA>999912312004092120231018
310종로구학원8989해커스편입학원서울특별시 종로구 인사동길 12, 6층 (인사동, 대일빌딩)인문사회(대)인문사회(중)대학편입대학편입637401<NA>YN3163개원20050325<NA>999912312005032520240505
311종로구학원9312시사중국어학원서울특별시 종로구 종로12길 65,6층 (관철동)국제화국제어학(성인)어학(성인)980201<NA>YN110111개원20050413<NA>999912312005041320240428
312종로구학원9899해법영어수학학원서울특별시 종로구 지봉로5길 42층 3층 일부 (창신동)입시.검정 및 보습보통교과보습,보습81121<NA>YN110838개원20050524<NA>999912312005052420231018