Overview

Dataset statistics

Number of variables22
Number of observations167
Missing cells175
Missing cells (%)4.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory30.3 KiB
Average record size in memory185.8 B

Variable types

Categorical8
Numeric7
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
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-20531/S/1/datasetView.do

Alerts

행정구역명 has constant value ""Constant
기숙사학원여부 has constant value ""Constant
등록상태명 has constant value ""Constant
수강료공개여부 is highly imbalanced (56.4%)Imbalance
휴원시작일자 is highly imbalanced (93.3%)Imbalance
휴원종료일자 is highly imbalanced (77.3%)Imbalance
도로명상세주소 has 2 (1.2%) missing valuesMissing
교습과정목록명 has 37 (22.2%) missing valuesMissing
인당수강료내용 has 135 (80.8%) missing valuesMissing
학원지정번호 has unique valuesUnique
학원명 has unique valuesUnique
정원합계 has 10 (6.0%) zerosZeros
일시수용능력인원합계 has 6 (3.6%) zerosZeros

Reproduction

Analysis started2024-05-10 22:46:39.495770
Analysis finished2024-05-10 22:46:40.650704
Duration1.15 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정구역명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
중구
167 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중구 167
100.0%

Length

2024-05-10T22:46:40.832615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:46:41.155769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중구 167
100.0%

학원/교습소
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
학원
111 
교습소
56 

Length

Max length3
Median length2
Mean length2.3353293
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
학원 111
66.5%
교습소 56
33.5%

Length

2024-05-10T22:46:41.477729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:46:41.786177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학원 111
66.5%
교습소 56
33.5%

학원지정번호
Real number (ℝ)

UNIQUE 

Distinct167
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0898484 × 109
Minimum1430
Maximum3.0000501 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-10T22:46:42.107306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1430
5-th percentile8607.7
Q11.0000208 × 109
median3.0000205 × 109
Q33.0000392 × 109
95-th percentile3.0000456 × 109
Maximum3.0000501 × 109
Range3.0000487 × 109
Interquartile range (IQR)2.0000184 × 109

Descriptive statistics

Standard deviation1.2839505 × 109
Coefficient of variation (CV)0.61437498
Kurtosis-1.1685295
Mean2.0898484 × 109
Median Absolute Deviation (MAD)22449
Skewness-0.82633707
Sum3.4900468 × 1011
Variance1.648529 × 1018
MonotonicityNot monotonic
2024-05-10T22:46:42.586434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000019698 1
 
0.6%
3000039281 1
 
0.6%
3000037660 1
 
0.6%
3000037941 1
 
0.6%
3000038111 1
 
0.6%
3000038226 1
 
0.6%
3000038227 1
 
0.6%
3000038380 1
 
0.6%
3000038389 1
 
0.6%
3000039150 1
 
0.6%
Other values (157) 157
94.0%
ValueCountFrequency (%)
1430 1
0.6%
2470 1
0.6%
2478 1
0.6%
2891 1
0.6%
3131 1
0.6%
3508 1
0.6%
6867 1
0.6%
8313 1
0.6%
8446 1
0.6%
8985 1
0.6%
ValueCountFrequency (%)
3000050136 1
0.6%
3000050133 1
0.6%
3000048627 1
0.6%
3000048120 1
0.6%
3000046527 1
0.6%
3000046419 1
0.6%
3000046263 1
0.6%
3000046261 1
0.6%
3000046227 1
0.6%
3000044270 1
0.6%

학원명
Text

UNIQUE 

Distinct167
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-10T22:46:43.153859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length19
Mean length9.6167665
Min length4

Characters and Unicode

Total characters1606
Distinct characters301
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique167 ?
Unique (%)100.0%

Sample

1st row코리아헤럴드학원
2nd row알리앙스프랑세즈외국어학원
3rd rowGnB뉴보습학원
4th row동화음악학원
5th row중구정일학원
ValueCountFrequency (%)
코리아헤럴드학원 1
 
0.6%
플라츠미술교습소 1
 
0.6%
홍인음악교습소 1
 
0.6%
디지틀조선일보캐나다문화어학원이(e)캠퍼스원격학원 1
 
0.6%
성동에스엘피(slp)영어학당학원 1
 
0.6%
직장인전문솔바이올린학원 1
 
0.6%
성동학당학원 1
 
0.6%
쌤케이팝보컬교습소 1
 
0.6%
브레인수학교습소 1
 
0.6%
에스(s)3아카데미서울캠퍼스미용학원 1
 
0.6%
Other values (166) 166
94.3%
2024-05-10T22:46:44.119616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 131
 
8.2%
원 128
 
8.0%
습 61
 
3.8%
교 60
 
3.7%
소 55
 
3.4%
아 39
 
2.4%
이 36
 
2.2%
미 35
 
2.2%
어 33
 
2.1%
스 29
 
1.8%
Other values (291) 999
62.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1478
92.0%
Uppercase Letter 52
 
3.2%
Lowercase Letter 37
 
2.3%
Close Punctuation 13
 
0.8%
Open Punctuation 13
 
0.8%
Space Separator 9
 
0.6%
Other Punctuation 3
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 131
 
8.9%
원 128
 
8.7%
습 61
 
4.1%
교 60
 
4.1%
소 55
 
3.7%
아 39
 
2.6%
이 36
 
2.4%
미 35
 
2.4%
어 33
 
2.2%
스 29
 
2.0%
Other values (251) 871
58.9%
Uppercase Letter
ValueCountFrequency (%)
E 8
15.4%
B 7
13.5%
S 4
 
7.7%
N 4
 
7.7%
P 4
 
7.7%
G 4
 
7.7%
L 3
 
5.8%
M 3
 
5.8%
U 2
 
3.8%
C 2
 
3.8%
Other values (10) 11
21.2%
Lowercase Letter
ValueCountFrequency (%)
n 7
18.9%
e 7
18.9%
a 4
10.8%
o 3
8.1%
l 3
8.1%
y 3
8.1%
c 2
 
5.4%
r 2
 
5.4%
i 1
 
2.7%
u 1
 
2.7%
Other values (4) 4
10.8%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
, 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1478
92.0%
Latin 89
 
5.5%
Common 39
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 131
 
8.9%
원 128
 
8.7%
습 61
 
4.1%
교 60
 
4.1%
소 55
 
3.7%
아 39
 
2.6%
이 36
 
2.4%
미 35
 
2.4%
어 33
 
2.2%
스 29
 
2.0%
Other values (251) 871
58.9%
Latin
ValueCountFrequency (%)
E 8
 
9.0%
n 7
 
7.9%
e 7
 
7.9%
B 7
 
7.9%
S 4
 
4.5%
N 4
 
4.5%
a 4
 
4.5%
P 4
 
4.5%
G 4
 
4.5%
L 3
 
3.4%
Other values (24) 37
41.6%
Common
ValueCountFrequency (%)
) 13
33.3%
( 13
33.3%
9
23.1%
& 2
 
5.1%
3 1
 
2.6%
, 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1478
92.0%
ASCII 128
 
8.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 131
 
8.9%
원 128
 
8.7%
습 61
 
4.1%
교 60
 
4.1%
소 55
 
3.7%
아 39
 
2.6%
이 36
 
2.4%
미 35
 
2.4%
어 33
 
2.2%
스 29
 
2.0%
Other values (251) 871
58.9%
ASCII
ValueCountFrequency (%)
) 13
 
10.2%
( 13
 
10.2%
9
 
7.0%
E 8
 
6.2%
n 7
 
5.5%
e 7
 
5.5%
B 7
 
5.5%
S 4
 
3.1%
N 4
 
3.1%
a 4
 
3.1%
Other values (30) 52
40.6%

도로명주소
Text

Distinct108
Distinct (%)64.7%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-10T22:46:44.807654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length17.005988
Min length14

Characters and Unicode

Total characters2840
Distinct characters63
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

Unique84 ?
Unique (%)50.3%

Sample

1st row서울특별시 중구 남대문로10길 6
2nd row서울특별시 중구 퇴계로10길 29
3rd row서울특별시 중구 다산로36가길 16
4th row서울특별시 중구 퇴계로86길 100
5th row서울특별시 중구 다산로42나길 31
ValueCountFrequency (%)
서울특별시 167
25.0%
중구 167
25.0%
다산로 33
 
4.9%
32 13
 
1.9%
동호로10길 10
 
1.5%
30 10
 
1.5%
퇴계로 9
 
1.3%
23 8
 
1.2%
10 8
 
1.2%
청구로1길 8
 
1.2%
Other values (138) 235
35.2%
2024-05-10T22:46:45.795198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
501
17.6%
구 182
 
6.4%
중 175
 
6.2%
서 172
 
6.1%
울 167
 
5.9%
시 167
 
5.9%
특 167
 
5.9%
별 167
 
5.9%
로 163
 
5.7%
1 121
 
4.3%
Other values (53) 858
30.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1786
62.9%
Decimal Number 533
 
18.8%
Space Separator 501
 
17.6%
Dash Punctuation 17
 
0.6%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 182
10.2%
중 175
9.8%
서 172
9.6%
울 167
9.4%
시 167
9.4%
특 167
9.4%
별 167
9.4%
로 163
9.1%
길 88
 
4.9%
산 51
 
2.9%
Other values (40) 287
16.1%
Decimal Number
ValueCountFrequency (%)
1 121
22.7%
2 76
14.3%
0 72
13.5%
3 71
13.3%
4 43
 
8.1%
5 36
 
6.8%
7 35
 
6.6%
6 34
 
6.4%
9 28
 
5.3%
8 17
 
3.2%
Space Separator
ValueCountFrequency (%)
501
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Other Punctuation
ValueCountFrequency (%)
? 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1786
62.9%
Common 1054
37.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 182
10.2%
중 175
9.8%
서 172
9.6%
울 167
9.4%
시 167
9.4%
특 167
9.4%
별 167
9.4%
로 163
9.1%
길 88
 
4.9%
산 51
 
2.9%
Other values (40) 287
16.1%
Common
ValueCountFrequency (%)
501
47.5%
1 121
 
11.5%
2 76
 
7.2%
0 72
 
6.8%
3 71
 
6.7%
4 43
 
4.1%
5 36
 
3.4%
7 35
 
3.3%
6 34
 
3.2%
9 28
 
2.7%
Other values (3) 37
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1786
62.9%
ASCII 1054
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
501
47.5%
1 121
 
11.5%
2 76
 
7.2%
0 72
 
6.8%
3 71
 
6.7%
4 43
 
4.1%
5 36
 
3.4%
7 35
 
3.3%
6 34
 
3.2%
9 28
 
2.7%
Other values (3) 37
 
3.5%
Hangul
ValueCountFrequency (%)
구 182
10.2%
중 175
9.8%
서 172
9.6%
울 167
9.4%
시 167
9.4%
특 167
9.4%
별 167
9.4%
로 163
9.1%
길 88
 
4.9%
산 51
 
2.9%
Other values (40) 287
16.1%

도로명상세주소
Text

MISSING 

Distinct155
Distinct (%)93.9%
Missing2
Missing (%)1.2%
Memory size1.4 KiB
2024-05-10T22:46:46.244927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length28
Mean length18.672727
Min length5

Characters and Unicode

Total characters3081
Distinct characters175
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

Unique150 ?
Unique (%)90.9%

Sample

1st row, 3층~5층 (수하동)
2nd row1-5층(회현동1가)
3rd row, 2, 3층 (신당동)
4th row, 3층 (신당동,두복빌딩)
5th row, 3~4층 (신당동)
ValueCountFrequency (%)
124
 
19.3%
신당동 87
 
13.5%
3층 23
 
3.6%
일부 15
 
2.3%
2층 14
 
2.2%
4층 12
 
1.9%
남산타운 11
 
1.7%
중림동 9
 
1.4%
201호 8
 
1.2%
1층 8
 
1.2%
Other values (228) 333
51.7%
2024-05-10T22:46:47.258057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
482
 
15.6%
, 226
 
7.3%
동 178
 
5.8%
( 168
 
5.5%
) 168
 
5.5%
2 117
 
3.8%
층 115
 
3.7%
신 108
 
3.5%
당 107
 
3.5%
1 101
 
3.3%
Other values (165) 1311
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1505
48.8%
Space Separator 482
 
15.6%
Decimal Number 477
 
15.5%
Other Punctuation 231
 
7.5%
Open Punctuation 168
 
5.5%
Close Punctuation 168
 
5.5%
Uppercase Letter 22
 
0.7%
Dash Punctuation 19
 
0.6%
Math Symbol 9
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 178
 
11.8%
층 115
 
7.6%
신 108
 
7.2%
당 107
 
7.1%
가 83
 
5.5%
호 71
 
4.7%
빌 47
 
3.1%
딩 40
 
2.7%
상 40
 
2.7%
일 25
 
1.7%
Other values (135) 691
45.9%
Uppercase Letter
ValueCountFrequency (%)
I 4
18.2%
L 3
13.6%
G 3
13.6%
B 3
13.6%
A 1
 
4.5%
C 1
 
4.5%
N 1
 
4.5%
O 1
 
4.5%
D 1
 
4.5%
U 1
 
4.5%
Other values (3) 3
13.6%
Decimal Number
ValueCountFrequency (%)
2 117
24.5%
1 101
21.2%
0 76
15.9%
3 64
13.4%
4 38
 
8.0%
5 29
 
6.1%
6 21
 
4.4%
7 13
 
2.7%
9 10
 
2.1%
8 8
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 226
97.8%
/ 5
 
2.2%
Space Separator
ValueCountFrequency (%)
482
100.0%
Open Punctuation
ValueCountFrequency (%)
( 168
100.0%
Close Punctuation
ValueCountFrequency (%)
) 168
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1554
50.4%
Hangul 1505
48.8%
Latin 22
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 178
 
11.8%
층 115
 
7.6%
신 108
 
7.2%
당 107
 
7.1%
가 83
 
5.5%
호 71
 
4.7%
빌 47
 
3.1%
딩 40
 
2.7%
상 40
 
2.7%
일 25
 
1.7%
Other values (135) 691
45.9%
Common
ValueCountFrequency (%)
482
31.0%
, 226
14.5%
( 168
 
10.8%
) 168
 
10.8%
2 117
 
7.5%
1 101
 
6.5%
0 76
 
4.9%
3 64
 
4.1%
4 38
 
2.4%
5 29
 
1.9%
Other values (7) 85
 
5.5%
Latin
ValueCountFrequency (%)
I 4
18.2%
L 3
13.6%
G 3
13.6%
B 3
13.6%
A 1
 
4.5%
C 1
 
4.5%
N 1
 
4.5%
O 1
 
4.5%
D 1
 
4.5%
U 1
 
4.5%
Other values (3) 3
13.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1576
51.2%
Hangul 1505
48.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
482
30.6%
, 226
14.3%
( 168
 
10.7%
) 168
 
10.7%
2 117
 
7.4%
1 101
 
6.4%
0 76
 
4.8%
3 64
 
4.1%
4 38
 
2.4%
5 29
 
1.8%
Other values (20) 107
 
6.8%
Hangul
ValueCountFrequency (%)
동 178
 
11.8%
층 115
 
7.6%
신 108
 
7.2%
당 107
 
7.1%
가 83
 
5.5%
호 71
 
4.7%
빌 47
 
3.1%
딩 40
 
2.7%
상 40
 
2.7%
일 25
 
1.7%
Other values (135) 691
45.9%

분야명
Categorical

Distinct9
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
입시.검정 및 보습
55 
예능(대)
45 
국제화
22 
직업기술
17 
기예(대)
12 
Other values (4)
16 

Length

Max length10
Median length7
Mean length6.257485
Min length3

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row국제화
2nd row국제화
3rd row입시.검정 및 보습
4th row예능(대)
5th row입시.검정 및 보습

Common Values

ValueCountFrequency (%)
입시.검정 및 보습 55
32.9%
예능(대) 45
26.9%
국제화 22
 
13.2%
직업기술 17
 
10.2%
기예(대) 12
 
7.2%
기타(대) 6
 
3.6%
종합(대) 6
 
3.6%
독서실 3
 
1.8%
인문사회(대) 1
 
0.6%

Length

2024-05-10T22:46:47.660806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:46:48.076922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
입시.검정 55
19.9%
및 55
19.9%
보습 55
19.9%
예능(대 45
16.2%
국제화 22
 
7.9%
직업기술 17
 
6.1%
기예(대 12
 
4.3%
기타(대 6
 
2.2%
종합(대 6
 
2.2%
독서실 3
 
1.1%

교습계열명
Categorical

Distinct17
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
보통교과
52 
예능(중)
44 
외국어
15 
<NA>
12 
기예(중)
11 
Other values (12)
33 

Length

Max length7
Median length6
Mean length4.3173653
Min length2

Unique

Unique6 ?
Unique (%)3.6%

Sample

1st row국제
2nd row국제
3rd row보통교과
4th row예능(중)
5th row보통교과

Common Values

ValueCountFrequency (%)
보통교과 52
31.1%
예능(중) 44
26.3%
외국어 15
 
9.0%
<NA> 12
 
7.2%
기예(중) 11
 
6.6%
산업응용기술 8
 
4.8%
국제 7
 
4.2%
기타(중) 5
 
3.0%
독서 3
 
1.8%
문화관광 2
 
1.2%
Other values (7) 8
 
4.8%

Length

2024-05-10T22:46:48.579062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
보통교과 52
31.1%
예능(중 44
26.3%
외국어 15
 
9.0%
na 12
 
7.2%
기예(중 11
 
6.6%
산업응용기술 8
 
4.8%
국제 7
 
4.2%
기타(중 5
 
3.0%
독서 3
 
1.8%
문화관광 2
 
1.2%
Other values (7) 8
 
4.8%

교습과정목록명
Text

MISSING 

Distinct78
Distinct (%)60.0%
Missing37
Missing (%)22.2%
Memory size1.4 KiB
2024-05-10T22:46:49.087506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length18
Mean length6.6076923
Min length2

Characters and Unicode

Total characters859
Distinct characters119
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)47.7%

Sample

1st row어학(성인)
2nd row어학(성인)
3rd row보습,
4th row음악
5th row보습,
ValueCountFrequency (%)
보습 26
 
18.4%
실용외국어(유아/초?중?고 10
 
7.1%
어학(성인 6
 
4.3%
미술 6
 
4.3%
초등 5
 
3.5%
이?미용 5
 
3.5%
실용음악(성악 4
 
2.8%
음악 4
 
2.8%
피아노 4
 
2.8%
디자인 3
 
2.1%
Other values (58) 68
48.2%
2024-05-10T22:46:50.034336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 80
 
9.3%
) 45
 
5.2%
( 45
 
5.2%
? 36
 
4.2%
보 34
 
4.0%
습 33
 
3.8%
초 31
 
3.6%
용 27
 
3.1%
어 25
 
2.9%
아 22
 
2.6%
Other values (109) 481
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 610
71.0%
Other Punctuation 129
 
15.0%
Close Punctuation 45
 
5.2%
Open Punctuation 45
 
5.2%
Decimal Number 12
 
1.4%
Space Separator 11
 
1.3%
Uppercase Letter 6
 
0.7%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 34
 
5.6%
습 33
 
5.4%
초 31
 
5.1%
용 27
 
4.4%
어 25
 
4.1%
아 22
 
3.6%
미 19
 
3.1%
실 19
 
3.1%
고 17
 
2.8%
학 17
 
2.8%
Other values (97) 366
60.0%
Decimal Number
ValueCountFrequency (%)
1 9
75.0%
5 1
 
8.3%
2 1
 
8.3%
4 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 80
62.0%
? 36
27.9%
/ 13
 
10.1%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 610
71.0%
Common 243
 
28.3%
Latin 6
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 34
 
5.6%
습 33
 
5.4%
초 31
 
5.1%
용 27
 
4.4%
어 25
 
4.1%
아 22
 
3.6%
미 19
 
3.1%
실 19
 
3.1%
고 17
 
2.8%
학 17
 
2.8%
Other values (97) 366
60.0%
Common
ValueCountFrequency (%)
, 80
32.9%
) 45
18.5%
( 45
18.5%
? 36
14.8%
/ 13
 
5.3%
11
 
4.5%
1 9
 
3.7%
~ 1
 
0.4%
5 1
 
0.4%
2 1
 
0.4%
Latin
ValueCountFrequency (%)
A 6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 610
71.0%
ASCII 249
29.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 80
32.1%
) 45
18.1%
( 45
18.1%
? 36
14.5%
/ 13
 
5.2%
11
 
4.4%
1 9
 
3.6%
A 6
 
2.4%
~ 1
 
0.4%
5 1
 
0.4%
Other values (2) 2
 
0.8%
Hangul
ValueCountFrequency (%)
보 34
 
5.6%
습 33
 
5.4%
초 31
 
5.1%
용 27
 
4.4%
어 25
 
4.1%
아 22
 
3.6%
미 19
 
3.1%
실 19
 
3.1%
고 17
 
2.8%
학 17
 
2.8%
Other values (97) 366
60.0%

교습과정명
Categorical

Distinct30
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
보습
48 
음악
24 
미술
17 
실용외국어(유아/초?중?고)
15 
<NA>
12 
Other values (25)
51 

Length

Max length24
Median length2
Mean length4.508982
Min length2

Unique

Unique16 ?
Unique (%)9.6%

Sample

1st row어학(성인)
2nd row어학(성인)
3rd row보습
4th row음악
5th row보습

Common Values

ValueCountFrequency (%)
보습 48
28.7%
음악 24
14.4%
미술 17
 
10.2%
실용외국어(유아/초?중?고) 15
 
9.0%
<NA> 12
 
7.2%
어학(성인) 7
 
4.2%
실용음악(성악) 7
 
4.2%
이?미용 5
 
3.0%
보습?논술 4
 
2.4%
디자인 3
 
1.8%
Other values (20) 25
15.0%

Length

2024-05-10T22:46:50.458675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
보습 48
28.7%
음악 24
14.4%
미술 17
 
10.2%
실용외국어(유아/초?중?고 15
 
9.0%
na 12
 
7.2%
어학(성인 7
 
4.2%
실용음악(성악 7
 
4.2%
이?미용 5
 
3.0%
보습?논술 4
 
2.4%
무용 3
 
1.8%
Other values (20) 25
15.0%

정원합계
Real number (ℝ)

ZEROS 

Distinct99
Distinct (%)59.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean280.34731
Minimum0
Maximum8490
Zeros10
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-10T22:46:50.868308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q124.5
median65
Q3200
95-th percentile1078.8
Maximum8490
Range8490
Interquartile range (IQR)175.5

Descriptive statistics

Standard deviation825.86962
Coefficient of variation (CV)2.9458803
Kurtosis63.329957
Mean280.34731
Median Absolute Deviation (MAD)47
Skewness7.2101988
Sum46818
Variance682060.63
MonotonicityNot monotonic
2024-05-10T22:46:51.304277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
6.0%
27 6
 
3.6%
12 5
 
3.0%
60 5
 
3.0%
18 5
 
3.0%
40 5
 
3.0%
20 4
 
2.4%
30 4
 
2.4%
100 4
 
2.4%
36 4
 
2.4%
Other values (89) 115
68.9%
ValueCountFrequency (%)
0 10
6.0%
1 1
 
0.6%
4 2
 
1.2%
5 2
 
1.2%
8 1
 
0.6%
9 1
 
0.6%
10 1
 
0.6%
12 5
3.0%
15 3
 
1.8%
16 2
 
1.2%
ValueCountFrequency (%)
8490 1
0.6%
4400 1
0.6%
3400 1
0.6%
2016 1
0.6%
1693 1
0.6%
1507 1
0.6%
1345 1
0.6%
1134 1
0.6%
1104 1
0.6%
1020 1
0.6%

일시수용능력인원합계
Real number (ℝ)

ZEROS 

Distinct86
Distinct (%)51.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.88623
Minimum0
Maximum1115
Zeros6
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-10T22:46:51.722509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q19
median61
Q3139
95-th percentile328
Maximum1115
Range1115
Interquartile range (IQR)130

Descriptive statistics

Standard deviation204.46932
Coefficient of variation (CV)1.7643971
Kurtosis13.624442
Mean115.88623
Median Absolute Deviation (MAD)54
Skewness3.6388634
Sum19353
Variance41807.704
MonotonicityNot monotonic
2024-05-10T22:46:52.169946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 21
 
12.6%
5 17
 
10.2%
999 6
 
3.6%
6 6
 
3.6%
0 6
 
3.6%
7 5
 
3.0%
158 3
 
1.8%
4 3
 
1.8%
83 3
 
1.8%
94 3
 
1.8%
Other values (76) 94
56.3%
ValueCountFrequency (%)
0 6
 
3.6%
2 1
 
0.6%
3 1
 
0.6%
4 3
 
1.8%
5 17
10.2%
6 6
 
3.6%
7 5
 
3.0%
8 2
 
1.2%
9 21
12.6%
35 1
 
0.6%
ValueCountFrequency (%)
1115 1
 
0.6%
999 6
3.6%
378 1
 
0.6%
334 1
 
0.6%
314 1
 
0.6%
301 1
 
0.6%
292 1
 
0.6%
268 1
 
0.6%
236 1
 
0.6%
235 1
 
0.6%

인당수강료내용
Text

MISSING 

Distinct32
Distinct (%)100.0%
Missing135
Missing (%)80.8%
Memory size1.4 KiB
2024-05-10T22:46:52.634451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length294
Median length69.5
Mean length78.4375
Min length9

Characters and Unicode

Total characters2510
Distinct characters95
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

Unique32 ?
Unique (%)100.0%

Sample

1st row유치부미술A(주1회반):65000, 초등부미술B(주1회반):70000, 미술(주2회반):100000, 중등부미술:120000, 작품미술:85000, 미술A:90000, 미술B:130000, 미술(고급1):100000, 미술(고급2):160000
2nd row바이엘:110000, 체르니100:120000, 체르니30:130000
3rd row창의미술:68400, 창의미술:106400, 창의미술:136800, 창의미술:182400, 영재미술(입시):81200, 영재미술(입시):129900, 영재미술(입시):194800, 내신대비(입시):97400, 내신대비(입시):146100, 내신대비(입시):219200
4th row바이엘:145000, 체르니100:155000, 체르니30:155000, 체르니40:165000
5th row피아노(바이엘):110000, 피아노(체르니100):120000, 피아노(체르니30):130000, 피아노(체르니40):140000, 피아노:150000, 피아노:160000, 피아노:170000
ValueCountFrequency (%)
피아노 15
 
7.3%
중등 4
 
2.0%
국어(고등 4
 
2.0%
미술 3
 
1.5%
국어(중등 3
 
1.5%
초등 3
 
1.5%
피아노(초급):130000 2
 
1.0%
수학:300000 2
 
1.0%
수학 2
 
1.0%
및 2
 
1.0%
Other values (165) 165
80.5%
2024-05-10T22:46:53.546336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 637
25.4%
174
 
6.9%
: 165
 
6.6%
, 134
 
5.3%
1 133
 
5.3%
) 86
 
3.4%
( 85
 
3.4%
3 65
 
2.6%
2 65
 
2.6%
5 56
 
2.2%
Other values (85) 910
36.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1081
43.1%
Other Letter 753
30.0%
Other Punctuation 300
 
12.0%
Space Separator 174
 
6.9%
Close Punctuation 86
 
3.4%
Open Punctuation 85
 
3.4%
Uppercase Letter 25
 
1.0%
Math Symbol 5
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
등 44
 
5.8%
학 42
 
5.6%
수 41
 
5.4%
급 38
 
5.0%
중 37
 
4.9%
노 36
 
4.8%
아 36
 
4.8%
피 36
 
4.8%
고 36
 
4.8%
미 35
 
4.6%
Other values (63) 372
49.4%
Decimal Number
ValueCountFrequency (%)
0 637
58.9%
1 133
 
12.3%
3 65
 
6.0%
2 65
 
6.0%
5 56
 
5.2%
4 48
 
4.4%
6 24
 
2.2%
8 23
 
2.1%
9 19
 
1.8%
7 11
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
B 10
40.0%
A 10
40.0%
C 3
 
12.0%
D 2
 
8.0%
Other Punctuation
ValueCountFrequency (%)
: 165
55.0%
, 134
44.7%
? 1
 
0.3%
Space Separator
ValueCountFrequency (%)
174
100.0%
Close Punctuation
ValueCountFrequency (%)
) 86
100.0%
Open Punctuation
ValueCountFrequency (%)
( 85
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1732
69.0%
Hangul 753
30.0%
Latin 25
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
등 44
 
5.8%
학 42
 
5.6%
수 41
 
5.4%
급 38
 
5.0%
중 37
 
4.9%
노 36
 
4.8%
아 36
 
4.8%
피 36
 
4.8%
고 36
 
4.8%
미 35
 
4.6%
Other values (63) 372
49.4%
Common
ValueCountFrequency (%)
0 637
36.8%
174
 
10.0%
: 165
 
9.5%
, 134
 
7.7%
1 133
 
7.7%
) 86
 
5.0%
( 85
 
4.9%
3 65
 
3.8%
2 65
 
3.8%
5 56
 
3.2%
Other values (8) 132
 
7.6%
Latin
ValueCountFrequency (%)
B 10
40.0%
A 10
40.0%
C 3
 
12.0%
D 2
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1757
70.0%
Hangul 753
30.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 637
36.3%
174
 
9.9%
: 165
 
9.4%
, 134
 
7.6%
1 133
 
7.6%
) 86
 
4.9%
( 85
 
4.8%
3 65
 
3.7%
2 65
 
3.7%
5 56
 
3.2%
Other values (12) 157
 
8.9%
Hangul
ValueCountFrequency (%)
등 44
 
5.8%
학 42
 
5.6%
수 41
 
5.4%
급 38
 
5.0%
중 37
 
4.9%
노 36
 
4.8%
아 36
 
4.8%
피 36
 
4.8%
고 36
 
4.8%
미 35
 
4.6%
Other values (63) 372
49.4%

수강료공개여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size299.0 B
True
152 
False
 
15
ValueCountFrequency (%)
True 152
91.0%
False 15
 
9.0%
2024-05-10T22:46:53.820891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기숙사학원여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing1
Missing (%)0.6%
Memory size466.0 B
False
166 
(Missing)
 
1
ValueCountFrequency (%)
False 166
99.4%
(Missing) 1
 
0.6%
2024-05-10T22:46:54.060236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

도로명우편번호
Real number (ℝ)

Distinct87
Distinct (%)52.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40247.359
Minimum4500
Maximum100897
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-10T22:46:54.428627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4500
5-th percentile4515.3
Q14581
median4598
Q3100728
95-th percentile100859
Maximum100897
Range96397
Interquartile range (IQR)96147

Descriptive statistics

Standard deviation46565.911
Coefficient of variation (CV)1.156993
Kurtosis-1.731582
Mean40247.359
Median Absolute Deviation (MAD)65
Skewness0.53781791
Sum6721309
Variance2.1683841 × 109
MonotonicityNot monotonic
2024-05-10T22:46:54.834098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4595 9
 
5.4%
4590 9
 
5.4%
4539 4
 
2.4%
4619 4
 
2.4%
4516 4
 
2.4%
4589 4
 
2.4%
4534 4
 
2.4%
100761 4
 
2.4%
100450 4
 
2.4%
100763 4
 
2.4%
Other values (77) 117
70.1%
ValueCountFrequency (%)
4500 1
 
0.6%
4501 2
1.2%
4502 2
1.2%
4507 1
 
0.6%
4510 1
 
0.6%
4515 2
1.2%
4516 4
2.4%
4518 1
 
0.6%
4519 1
 
0.6%
4520 1
 
0.6%
ValueCountFrequency (%)
100897 3
1.8%
100893 1
 
0.6%
100888 1
 
0.6%
100873 1
 
0.6%
100869 1
 
0.6%
100862 1
 
0.6%
100859 2
1.2%
100858 1
 
0.6%
100845 1
 
0.6%
100841 1
 
0.6%

등록상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
개원
167 

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 167
100.0%

Length

2024-05-10T22:46:55.159760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:46:55.425395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개원 167
100.0%

등록일자
Real number (ℝ)

Distinct156
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20122726
Minimum19620127
Maximum20240402
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-10T22:46:55.948175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19620127
5-th percentile19950656
Q120060565
median20140207
Q320210404
95-th percentile20230792
Maximum20240402
Range620275
Interquartile range (IQR)149839.5

Descriptive statistics

Standard deviation104803.83
Coefficient of variation (CV)0.0052082326
Kurtosis4.9236891
Mean20122726
Median Absolute Deviation (MAD)70918
Skewness-1.7063524
Sum3.3604952 × 109
Variance1.0983844 × 1010
MonotonicityNot monotonic
2024-05-10T22:46:56.349702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20230830 2
 
1.2%
20130806 2
 
1.2%
20170102 2
 
1.2%
20120831 2
 
1.2%
20220114 2
 
1.2%
20170807 2
 
1.2%
20230714 2
 
1.2%
20101022 2
 
1.2%
20240402 2
 
1.2%
20121101 2
 
1.2%
Other values (146) 147
88.0%
ValueCountFrequency (%)
19620127 1
0.6%
19641231 1
0.6%
19820130 1
0.6%
19820726 1
0.6%
19881006 1
0.6%
19890928 1
0.6%
19920218 1
0.6%
19930614 1
0.6%
19950630 1
0.6%
19950718 1
0.6%
ValueCountFrequency (%)
20240402 2
1.2%
20240122 1
0.6%
20231109 1
0.6%
20231023 1
0.6%
20231004 1
0.6%
20230830 2
1.2%
20230825 1
0.6%
20230714 2
1.2%
20230609 1
0.6%
20230522 1
0.6%

휴원시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
165 
20160901
 
1
20130827
 
1

Length

Max length8
Median length4
Mean length4.0479042
Min length4

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> 165
98.8%
20160901 1
 
0.6%
20130827 1
 
0.6%

Length

2024-05-10T22:46:56.824134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:46:57.250992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 165
98.8%
20160901 1
 
0.6%
20130827 1
 
0.6%

휴원종료일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
99991231
154 
<NA>
 
11
20160930
 
1
20130909
 
1

Length

Max length8
Median length8
Mean length7.7365269
Min length4

Unique

Unique2 ?
Unique (%)1.2%

Sample

1st row99991231
2nd row99991231
3rd row99991231
4th row99991231
5th row99991231

Common Values

ValueCountFrequency (%)
99991231 154
92.2%
<NA> 11
 
6.6%
20160930 1
 
0.6%
20130909 1
 
0.6%

Length

2024-05-10T22:46:57.657091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:46:58.071680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
99991231 154
92.2%
na 11
 
6.6%
20160930 1
 
0.6%
20130909 1
 
0.6%

개설일자
Real number (ℝ)

Distinct156
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20122781
Minimum19620127
Maximum20240402
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-10T22:46:58.455238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19620127
5-th percentile19950656
Q120060565
median20140210
Q320210404
95-th percentile20230792
Maximum20240402
Range620275
Interquartile range (IQR)149839.5

Descriptive statistics

Standard deviation104760.37
Coefficient of variation (CV)0.0052060584
Kurtosis4.9394141
Mean20122781
Median Absolute Deviation (MAD)70915
Skewness-1.7089768
Sum3.3605044 × 109
Variance1.0974735 × 1010
MonotonicityNot monotonic
2024-05-10T22:46:58.974953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20230830 2
 
1.2%
20130806 2
 
1.2%
20170102 2
 
1.2%
20120831 2
 
1.2%
20220114 2
 
1.2%
20170807 2
 
1.2%
20230714 2
 
1.2%
20101022 2
 
1.2%
20240402 2
 
1.2%
20121101 2
 
1.2%
Other values (146) 147
88.0%
ValueCountFrequency (%)
19620127 1
0.6%
19641231 1
0.6%
19820130 1
0.6%
19820726 1
0.6%
19881006 1
0.6%
19890928 1
0.6%
19920218 1
0.6%
19930614 1
0.6%
19950630 1
0.6%
19950718 1
0.6%
ValueCountFrequency (%)
20240402 2
1.2%
20240122 1
0.6%
20231109 1
0.6%
20231023 1
0.6%
20231004 1
0.6%
20230830 2
1.2%
20230825 1
0.6%
20230714 2
1.2%
20230609 1
0.6%
20230522 1
0.6%

적재일시
Real number (ℝ)

Distinct14
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20232878
Minimum20231018
Maximum20240505
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-10T22:46:59.362176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20231018
5-th percentile20231018
Q120231018
median20231018
Q320231217
95-th percentile20240428
Maximum20240505
Range9487
Interquartile range (IQR)199

Descriptive statistics

Standard deviation3716.7946
Coefficient of variation (CV)0.00018370074
Kurtosis0.35510861
Mean20232878
Median Absolute Deviation (MAD)0
Skewness1.5325288
Sum3.3788906 × 109
Variance13814562
MonotonicityNot monotonic
2024-05-10T22:46:59.759656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
20231018 117
70.1%
20240428 12
 
7.2%
20240317 6
 
3.6%
20231231 6
 
3.6%
20231119 4
 
2.4%
20240128 4
 
2.4%
20240225 4
 
2.4%
20240407 3
 
1.8%
20231105 2
 
1.2%
20240505 2
 
1.2%
Other values (4) 7
 
4.2%
ValueCountFrequency (%)
20231018 117
70.1%
20231105 2
 
1.2%
20231119 4
 
2.4%
20231206 1
 
0.6%
20231217 2
 
1.2%
20231224 2
 
1.2%
20231231 6
 
3.6%
20240128 4
 
2.4%
20240225 4
 
2.4%
20240317 6
 
3.6%
ValueCountFrequency (%)
20240505 2
 
1.2%
20240428 12
7.2%
20240407 3
 
1.8%
20240331 2
 
1.2%
20240317 6
3.6%
20240225 4
 
2.4%
20240128 4
 
2.4%
20231231 6
3.6%
20231224 2
 
1.2%
20231217 2
 
1.2%

Sample

행정구역명학원/교습소학원지정번호학원명도로명주소도로명상세주소분야명교습계열명교습과정목록명교습과정명정원합계일시수용능력인원합계인당수강료내용수강료공개여부기숙사학원여부도로명우편번호등록상태명등록일자휴원시작일자휴원종료일자개설일자적재일시
0중구학원1000019698코리아헤럴드학원서울특별시 중구 남대문로10길 6, 3층~5층 (수하동)국제화국제어학(성인)어학(성인)350236<NA>YN4539개원19620127<NA>999912311962012720240317
1중구학원1000019765알리앙스프랑세즈외국어학원서울특별시 중구 퇴계로10길 291-5층(회현동1가)국제화국제어학(성인)어학(성인)1693268<NA>YN100873개원19641231<NA>999912311964123120231231
2중구학원1000020476GnB뉴보습학원서울특별시 중구 다산로36가길 16, 2, 3층 (신당동)입시.검정 및 보습보통교과보습,보습6591<NA>YN100816개원19881006<NA>999912311988100620231119
3중구학원1000020569동화음악학원서울특별시 중구 퇴계로86길 100, 3층 (신당동,두복빌딩)예능(대)예능(중)음악음악5438<NA>YN100897개원19890928<NA>999912311989092820240317
4중구학원1000021024중구정일학원서울특별시 중구 다산로42나길 31, 3~4층 (신당동)입시.검정 및 보습보통교과보습,보습88139<NA>YN4585개원19930614<NA>999912311993061420231018
5중구학원1000021113스카이미술학원서울특별시 중구 다산로 1044층 (신당동)예능(대)예능(중)미술,미술10074<NA>YN100827개원19950630<NA>999912311995063020231018
6중구학원1000021116늘푸른보습학원서울특별시 중구 청구로14길 41, 3층 (신당동)입시.검정 및 보습보통교과보습,보습60148<NA>YN100888개원19950718<NA>999912311995071820231018
7중구학원1000021592권상국애견미용학원서울특별시 중구 퇴계로 2094층 (충무로4가)직업기술산업응용기술이?미용,이?미용26075<NA>YN100862개원19990319<NA>999912311999031920231018
8중구학원1000021658동아음악학원서울특별시 중구 동호로10길 30, 상가동 604호 (신당동, 약수하이츠)예능(대)예능(중)음악,음악54563<NA>YN4593개원19990922<NA>999912311999092220231018
9중구학원1000021774지유에듀학원서울특별시 중구 동호로10길 30, 약수하이츠상가동 601호 (신당동, 약수하이츠)입시.검정 및 보습보통교과보습,보습3573<NA>YN4593개원20000805<NA>999912312000080520231018
행정구역명학원/교습소학원지정번호학원명도로명주소도로명상세주소분야명교습계열명교습과정목록명교습과정명정원합계일시수용능력인원합계인당수강료내용수강료공개여부기숙사학원여부도로명우편번호등록상태명등록일자휴원시작일자휴원종료일자개설일자적재일시
157중구교습소30160현대버클리음악교습소서울특별시 중구 다산로36길 109현대상가 401호 (신당동)예능(대)예능(중)피아노(초급)음악129피아노(초급):130000, 피아노(중급):140000, 피아노(고급-입시):150000YN100456개원20101022<NA>999912312010102220231018
158중구교습소30163스카이진수학교습소서울특별시 중구 다산로 32, 2상가 408호 (신당동, 남산타운)입시.검정 및 보습보통교과중등수학보습105중등수학:200000, 고등수학:250000YN4595개원2010102220160901201609302010102220231018
159중구학원30304제이티아이의복대안기술학원서울특별시 중구 다산로24길 29, 2~3층 (신당동)직업기술산업기반기술의복,의복430135<NA>YN100826개원20101105<NA>999912312010110520231018
160중구학원3131서울기술사학원서울특별시 중구 중림로 34?3층(중림동)인문사회(대)인문사회(중)성인고시,성인고시1507176<NA>YN100859개원20021216<NA>999912312002121620231018
161중구학원3508디지틀조선일보캐나다문화어학원서울특별시 중구 세종대로21길 52, 3~4층 (태평로1가, 조선일보광화문빌딩)국제화외국어실용외국어(유아/초?중?고)실용외국어(유아/초?중?고)102202<NA>YN100101개원20031212<NA>999912312004010120240317
162중구학원6867이나우스아카데미학원서울특별시 중구 동호로14길 5-6, 2층,3층 (신당동)종합(대)<NA>경영,회계,<NA>4400226<NA>NN4607개원20041104<NA>999912312004110420231018
163중구학원8313쎄아떼이용미용전문학원서울특별시 중구 청파로 433, 2,4,5층 (중림동,스마일빌딩)직업기술산업응용기술이?미용이?미용833200<NA>YN100858개원20050217<NA>999912312005021720240505
164중구학원8446월스트리트잉글리쉬종로어학원서울특별시 중구 남대문로 904층 일부 (남대문로2가, 명동N빌딩)국제화국제어학(성인)어학(성인)480169<NA>YN4534개원20050224<NA>999912312005022420240407
165중구교습소8985현피아노음악교습소서울특별시 중구 동호로10길 30약수하이츠상가 307호 (신당동)예능(대)예능(중)우쿨렐레(초급)음악226<NA>YN100761개원20050328<NA>999912312005032820231018
166중구교습소9464정연음악교습소서울특별시 중구 다산로36가길 163층 (신당동)예능(대)예능(중)피아노 일반음악164피아노 일반:151200, 피아노 초급:163300, 피아노 중급:176400, 피아노 고급:189400YN100816개원2005041620130827201309092005041620231018