Overview

Dataset statistics

Number of variables7
Number of observations3658
Missing cells20
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory203.7 KiB
Average record size in memory57.0 B

Variable types

Numeric1
Text4
Categorical2

Dataset

Description서울특별시강남서초교육지원청의 관내 학원현황 정보입니다. (분야, 주소, 전화번호, 교습과정분류 정보)
Author서울특별시교육청 서울특별시강남서초교육지원청
URLhttps://www.data.go.kr/data/15062643/fileData.do

Alerts

학원종류 is highly overall correlated with 분야구분High correlation
분야구분 is highly overall correlated with 학원종류High correlation
연번 has unique valuesUnique
학원명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:51:06.609556
Analysis finished2023-12-12 00:51:08.328338
Duration1.72 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct3658
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1829.5
Minimum1
Maximum3658
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.3 KiB
2023-12-12T09:51:08.437713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile183.85
Q1915.25
median1829.5
Q32743.75
95-th percentile3475.15
Maximum3658
Range3657
Interquartile range (IQR)1828.5

Descriptive statistics

Standard deviation1056.118
Coefficient of variation (CV)0.57727137
Kurtosis-1.2
Mean1829.5
Median Absolute Deviation (MAD)914.5
Skewness0
Sum6692311
Variance1115385.2
MonotonicityStrictly increasing
2023-12-12T09:51:08.637970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2431 1
 
< 0.1%
2433 1
 
< 0.1%
2434 1
 
< 0.1%
2435 1
 
< 0.1%
2436 1
 
< 0.1%
2437 1
 
< 0.1%
2438 1
 
< 0.1%
2439 1
 
< 0.1%
2440 1
 
< 0.1%
Other values (3648) 3648
99.7%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
3658 1
< 0.1%
3657 1
< 0.1%
3656 1
< 0.1%
3655 1
< 0.1%
3654 1
< 0.1%
3653 1
< 0.1%
3652 1
< 0.1%
3651 1
< 0.1%
3650 1
< 0.1%
3649 1
< 0.1%

학원명
Text

UNIQUE 

Distinct3658
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size28.7 KiB
2023-12-12T09:51:08.932780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length9.4029524
Min length3

Characters and Unicode

Total characters34396
Distinct characters778
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3658 ?
Unique (%)100.0%

Sample

1st row한국사의달인원격교습학원
2nd row프라임스템주니어학원
3rd row서초무용학원
4th row백석대학교평생교육신학원
5th row강남삼육외국어학원
ValueCountFrequency (%)
academy)학원 8
 
0.2%
english)학원 5
 
0.1%
prep)학원 4
 
0.1%
studio)학원 3
 
0.1%
education)학원 3
 
0.1%
seoul)학원 2
 
0.1%
math)학원 2
 
0.1%
academy)어학원 2
 
0.1%
art 2
 
0.1%
english)영어학원 2
 
0.1%
Other values (3718) 3721
99.1%
2023-12-12T09:51:09.386934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 4021
 
11.7%
원 3726
 
10.8%
스 1039
 
3.0%
이 884
 
2.6%
아 670
 
1.9%
어 656
 
1.9%
미 621
 
1.8%
수 487
 
1.4%
에 450
 
1.3%
리 444
 
1.3%
Other values (768) 21398
62.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31015
90.2%
Uppercase Letter 1212
 
3.5%
Lowercase Letter 871
 
2.5%
Open Punctuation 402
 
1.2%
Close Punctuation 402
 
1.2%
Decimal Number 321
 
0.9%
Space Separator 100
 
0.3%
Other Punctuation 57
 
0.2%
Dash Punctuation 12
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 4021
 
13.0%
원 3726
 
12.0%
스 1039
 
3.3%
이 884
 
2.9%
아 670
 
2.2%
어 656
 
2.1%
미 621
 
2.0%
수 487
 
1.6%
에 450
 
1.5%
리 444
 
1.4%
Other values (694) 18017
58.1%
Uppercase Letter
ValueCountFrequency (%)
S 119
 
9.8%
E 109
 
9.0%
A 109
 
9.0%
M 100
 
8.3%
T 76
 
6.3%
C 71
 
5.9%
I 65
 
5.4%
P 62
 
5.1%
K 50
 
4.1%
B 48
 
4.0%
Other values (16) 403
33.3%
Lowercase Letter
ValueCountFrequency (%)
e 96
11.0%
a 72
 
8.3%
s 72
 
8.3%
i 69
 
7.9%
n 68
 
7.8%
r 61
 
7.0%
o 58
 
6.7%
t 55
 
6.3%
l 47
 
5.4%
u 40
 
4.6%
Other values (15) 233
26.8%
Decimal Number
ValueCountFrequency (%)
2 105
32.7%
1 83
25.9%
3 42
 
13.1%
0 29
 
9.0%
4 17
 
5.3%
7 13
 
4.0%
5 10
 
3.1%
9 10
 
3.1%
8 7
 
2.2%
6 5
 
1.6%
Other Punctuation
ValueCountFrequency (%)
. 23
40.4%
& 19
33.3%
' 9
 
15.8%
, 2
 
3.5%
% 2
 
3.5%
! 1
 
1.8%
: 1
 
1.8%
Math Symbol
ValueCountFrequency (%)
+ 3
75.0%
∑ 1
 
25.0%
Open Punctuation
ValueCountFrequency (%)
( 402
100.0%
Close Punctuation
ValueCountFrequency (%)
) 402
100.0%
Space Separator
ValueCountFrequency (%)
100
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30999
90.1%
Latin 2083
 
6.1%
Common 1298
 
3.8%
Han 16
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 4021
 
13.0%
원 3726
 
12.0%
스 1039
 
3.4%
이 884
 
2.9%
아 670
 
2.2%
어 656
 
2.1%
미 621
 
2.0%
수 487
 
1.6%
에 450
 
1.5%
리 444
 
1.4%
Other values (681) 18001
58.1%
Latin
ValueCountFrequency (%)
S 119
 
5.7%
E 109
 
5.2%
A 109
 
5.2%
M 100
 
4.8%
e 96
 
4.6%
T 76
 
3.6%
a 72
 
3.5%
s 72
 
3.5%
C 71
 
3.4%
i 69
 
3.3%
Other values (41) 1190
57.1%
Common
ValueCountFrequency (%)
( 402
31.0%
) 402
31.0%
2 105
 
8.1%
100
 
7.7%
1 83
 
6.4%
3 42
 
3.2%
0 29
 
2.2%
. 23
 
1.8%
& 19
 
1.5%
4 17
 
1.3%
Other values (13) 76
 
5.9%
Han
ValueCountFrequency (%)
元 3
18.8%
賢 2
12.5%
美 1
 
6.2%
而 1
 
6.2%
貨 1
 
6.2%
浩 1
 
6.2%
然 1
 
6.2%
之 1
 
6.2%
氣 1
 
6.2%
本 1
 
6.2%
Other values (3) 3
18.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30999
90.1%
ASCII 3380
 
9.8%
CJK 16
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 4021
 
13.0%
원 3726
 
12.0%
스 1039
 
3.4%
이 884
 
2.9%
아 670
 
2.2%
어 656
 
2.1%
미 621
 
2.0%
수 487
 
1.6%
에 450
 
1.5%
리 444
 
1.4%
Other values (681) 18001
58.1%
ASCII
ValueCountFrequency (%)
( 402
 
11.9%
) 402
 
11.9%
S 119
 
3.5%
E 109
 
3.2%
A 109
 
3.2%
2 105
 
3.1%
100
 
3.0%
M 100
 
3.0%
e 96
 
2.8%
1 83
 
2.5%
Other values (63) 1755
51.9%
CJK
ValueCountFrequency (%)
元 3
18.8%
賢 2
12.5%
美 1
 
6.2%
而 1
 
6.2%
貨 1
 
6.2%
浩 1
 
6.2%
然 1
 
6.2%
之 1
 
6.2%
氣 1
 
6.2%
本 1
 
6.2%
Other values (3) 3
18.8%
Math Operators
ValueCountFrequency (%)
∑ 1
100.0%

학원종류
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.7 KiB
학교교과교습학원
2887 
평생직업교육학원
771 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row학교교과교습학원
2nd row학교교과교습학원
3rd row학교교과교습학원
4th row평생직업교육학원
5th row평생직업교육학원

Common Values

ValueCountFrequency (%)
학교교과교습학원 2887
78.9%
평생직업교육학원 771
 
21.1%

Length

2023-12-12T09:51:09.891597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:51:10.041149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학교교과교습학원 2887
78.9%
평생직업교육학원 771
 
21.1%

분야구분
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size28.7 KiB
입시.검정 및 보습
1801 
예능(대)
366 
국제화
363 
직업기술
317 
기예(대)
221 
Other values (4)
590 

Length

Max length10
Median length7
Mean length7.1170038
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
입시.검정 및 보습 1801
49.2%
예능(대) 366
 
10.0%
국제화 363
 
9.9%
직업기술 317
 
8.7%
기예(대) 221
 
6.0%
기타(대) 186
 
5.1%
독서실 174
 
4.8%
종합(대) 165
 
4.5%
인문사회(대) 65
 
1.8%

Length

2023-12-12T09:51:10.193645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:51:10.344588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
입시.검정 1801
24.8%
및 1801
24.8%
보습 1801
24.8%
예능(대 366
 
5.0%
국제화 363
 
5.0%
직업기술 317
 
4.4%
기예(대 221
 
3.0%
기타(대 186
 
2.6%
독서실 174
 
2.4%
종합(대 165
 
2.3%

학원주소
Text

Distinct3640
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size28.7 KiB
2023-12-12T09:51:10.700953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length67
Mean length35.74959
Min length22

Characters and Unicode

Total characters130772
Distinct characters439
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3622 ?
Unique (%)99.0%

Sample

1st row서울특별시 강남구 강남대로 340 , 8층일부 (역삼동,경원빌딩)
2nd row서울특별시 강남구 역삼로 448 , 황우거빌딩 1층 (대치동)
3rd row서울특별시 서초구 사임당로 151 대한무지개종합상가 3층 (서초동)
4th row서울특별시 서초구 방배로 69 , 1층,3층~7층 (방배동)
5th row서울특별시 강남구 학동로47길 15 , 3층, 4층 (논현동)
ValueCountFrequency (%)
서울특별시 3658
 
13.2%
3158
 
11.4%
강남구 2453
 
8.9%
서초구 1205
 
4.4%
대치동 970
 
3.5%
2층 664
 
2.4%
3층 572
 
2.1%
4층 393
 
1.4%
전체 343
 
1.2%
신사동 319
 
1.2%
Other values (3225) 13954
50.4%
2023-12-12T09:51:11.276595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24822
 
19.0%
서 5629
 
4.3%
, 5264
 
4.0%
동 4076
 
3.1%
구 3882
 
3.0%
2 3763
 
2.9%
( 3739
 
2.9%
) 3729
 
2.9%
시 3697
 
2.8%
울 3670
 
2.8%
Other values (429) 68501
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70200
53.7%
Space Separator 24854
 
19.0%
Decimal Number 21848
 
16.7%
Other Punctuation 5367
 
4.1%
Open Punctuation 3739
 
2.9%
Close Punctuation 3729
 
2.9%
Uppercase Letter 437
 
0.3%
Dash Punctuation 406
 
0.3%
Math Symbol 158
 
0.1%
Lowercase Letter 31
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 5629
 
8.0%
동 4076
 
5.8%
구 3882
 
5.5%
시 3697
 
5.3%
울 3670
 
5.2%
로 3666
 
5.2%
특 3658
 
5.2%
별 3658
 
5.2%
층 3366
 
4.8%
남 2908
 
4.1%
Other values (363) 31990
45.6%
Uppercase Letter
ValueCountFrequency (%)
E 39
 
8.9%
O 38
 
8.7%
B 38
 
8.7%
A 37
 
8.5%
S 28
 
6.4%
M 27
 
6.2%
L 26
 
5.9%
H 22
 
5.0%
T 22
 
5.0%
R 21
 
4.8%
Other values (16) 139
31.8%
Lowercase Letter
ValueCountFrequency (%)
r 5
16.1%
e 5
16.1%
o 3
9.7%
w 3
9.7%
n 2
 
6.5%
l 2
 
6.5%
i 2
 
6.5%
g 1
 
3.2%
t 1
 
3.2%
y 1
 
3.2%
Other values (6) 6
19.4%
Decimal Number
ValueCountFrequency (%)
2 3763
17.2%
1 3612
16.5%
3 3193
14.6%
4 2429
11.1%
0 2343
10.7%
5 2010
9.2%
6 1463
 
6.7%
7 1171
 
5.4%
8 1016
 
4.7%
9 848
 
3.9%
Other Punctuation
ValueCountFrequency (%)
, 5264
98.1%
· 93
 
1.7%
. 6
 
0.1%
/ 2
 
< 0.1%
' 2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 154
97.5%
< 2
 
1.3%
> 2
 
1.3%
Space Separator
ValueCountFrequency (%)
24822
99.9%
  32
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 3739
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3729
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 406
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70200
53.7%
Common 60101
46.0%
Latin 471
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 5629
 
8.0%
동 4076
 
5.8%
구 3882
 
5.5%
시 3697
 
5.3%
울 3670
 
5.2%
로 3666
 
5.2%
특 3658
 
5.2%
별 3658
 
5.2%
층 3366
 
4.8%
남 2908
 
4.1%
Other values (363) 31990
45.6%
Latin
ValueCountFrequency (%)
E 39
 
8.3%
O 38
 
8.1%
B 38
 
8.1%
A 37
 
7.9%
S 28
 
5.9%
M 27
 
5.7%
L 26
 
5.5%
H 22
 
4.7%
T 22
 
4.7%
R 21
 
4.5%
Other values (33) 173
36.7%
Common
ValueCountFrequency (%)
24822
41.3%
, 5264
 
8.8%
2 3763
 
6.3%
( 3739
 
6.2%
) 3729
 
6.2%
1 3612
 
6.0%
3 3193
 
5.3%
4 2429
 
4.0%
0 2343
 
3.9%
5 2010
 
3.3%
Other values (13) 5197
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70200
53.7%
ASCII 60444
46.2%
None 125
 
0.1%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24822
41.1%
, 5264
 
8.7%
2 3763
 
6.2%
( 3739
 
6.2%
) 3729
 
6.2%
1 3612
 
6.0%
3 3193
 
5.3%
4 2429
 
4.0%
0 2343
 
3.9%
5 2010
 
3.3%
Other values (53) 5540
 
9.2%
Hangul
ValueCountFrequency (%)
서 5629
 
8.0%
동 4076
 
5.8%
구 3882
 
5.5%
시 3697
 
5.3%
울 3670
 
5.2%
로 3666
 
5.2%
특 3658
 
5.2%
별 3658
 
5.2%
층 3366
 
4.8%
남 2908
 
4.1%
Other values (363) 31990
45.6%
None
ValueCountFrequency (%)
· 93
74.4%
  32
 
25.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
100.0%

전화번호
Text

Distinct3108
Distinct (%)85.4%
Missing20
Missing (%)0.5%
Memory size28.7 KiB
2023-12-12T09:51:11.593855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.299615
Min length10

Characters and Unicode

Total characters41108
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

Unique2891 ?
Unique (%)79.5%

Sample

1st row070-8733-0505
2nd row02-2135-8015
3rd row02-3474-9102
4th row02-520-0764
5th row02-512-3605
ValueCountFrequency (%)
02-0000-0000 105
 
2.9%
02-000-0000 102
 
2.8%
000-0000-0000 33
 
0.9%
02-552-2373 18
 
0.5%
02-569-7467 8
 
0.2%
00-000-0000 7
 
0.2%
02-538-3372 7
 
0.2%
02-557-9864 5
 
0.1%
02-553-5205 5
 
0.1%
020-0000-0000 5
 
0.1%
Other values (3098) 3343
91.9%
2023-12-12T09:51:12.104292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8235
20.0%
- 7276
17.7%
2 5648
13.7%
5 5176
12.6%
3 2429
 
5.9%
7 2237
 
5.4%
1 2214
 
5.4%
4 2211
 
5.4%
6 2027
 
4.9%
8 1850
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33832
82.3%
Dash Punctuation 7276
 
17.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8235
24.3%
2 5648
16.7%
5 5176
15.3%
3 2429
 
7.2%
7 2237
 
6.6%
1 2214
 
6.5%
4 2211
 
6.5%
6 2027
 
6.0%
8 1850
 
5.5%
9 1805
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 7276
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 41108
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8235
20.0%
- 7276
17.7%
2 5648
13.7%
5 5176
12.6%
3 2429
 
5.9%
7 2237
 
5.4%
1 2214
 
5.4%
4 2211
 
5.4%
6 2027
 
4.9%
8 1850
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41108
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8235
20.0%
- 7276
17.7%
2 5648
13.7%
5 5176
12.6%
3 2429
 
5.9%
7 2237
 
5.4%
1 2214
 
5.4%
4 2211
 
5.4%
6 2027
 
4.9%
8 1850
 
4.5%

교습과정
Text

Distinct80
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size28.7 KiB
2023-12-12T09:51:12.381287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length5.2709131
Min length2

Characters and Unicode

Total characters19281
Distinct characters155
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)0.5%

Sample

1st row보습
2nd row종합
3rd row무용
4th row종합
5th row어학(성인)
ValueCountFrequency (%)
보습·논술 894
24.4%
보습 848
23.2%
실용외국어(유아/초·중·고 262
 
7.2%
미술 239
 
6.5%
종합 163
 
4.5%
독서실(유아/초·중·고 144
 
3.9%
음악 117
 
3.2%
이·미용 80
 
2.2%
어학(성인 78
 
2.1%
연극 69
 
1.9%
Other values (70) 764
20.9%
2023-12-12T09:51:12.901663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
보 1792
 
9.3%
· 1788
 
9.3%
습 1742
 
9.0%
술 1164
 
6.0%
논 896
 
4.6%
) 838
 
4.3%
( 838
 
4.3%
실 492
 
2.6%
용 492
 
2.6%
고 426
 
2.2%
Other values (145) 8813
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15094
78.3%
Other Punctuation 2511
 
13.0%
Close Punctuation 838
 
4.3%
Open Punctuation 838
 
4.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 1792
 
11.9%
습 1742
 
11.5%
술 1164
 
7.7%
논 896
 
5.9%
실 492
 
3.3%
용 492
 
3.3%
고 426
 
2.8%
아 407
 
2.7%
중 406
 
2.7%
초 406
 
2.7%
Other values (140) 6871
45.5%
Other Punctuation
ValueCountFrequency (%)
· 1788
71.2%
/ 406
 
16.2%
, 317
 
12.6%
Close Punctuation
ValueCountFrequency (%)
) 838
100.0%
Open Punctuation
ValueCountFrequency (%)
( 838
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15094
78.3%
Common 4187
 
21.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 1792
 
11.9%
습 1742
 
11.5%
술 1164
 
7.7%
논 896
 
5.9%
실 492
 
3.3%
용 492
 
3.3%
고 426
 
2.8%
아 407
 
2.7%
중 406
 
2.7%
초 406
 
2.7%
Other values (140) 6871
45.5%
Common
ValueCountFrequency (%)
· 1788
42.7%
) 838
20.0%
( 838
20.0%
/ 406
 
9.7%
, 317
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15094
78.3%
ASCII 2399
 
12.4%
None 1788
 
9.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
보 1792
 
11.9%
습 1742
 
11.5%
술 1164
 
7.7%
논 896
 
5.9%
실 492
 
3.3%
용 492
 
3.3%
고 426
 
2.8%
아 407
 
2.7%
중 406
 
2.7%
초 406
 
2.7%
Other values (140) 6871
45.5%
None
ValueCountFrequency (%)
· 1788
100.0%
ASCII
ValueCountFrequency (%)
) 838
34.9%
( 838
34.9%
/ 406
16.9%
, 317
 
13.2%

Interactions

2023-12-12T09:51:07.840314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:51:13.010684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번학원종류분야구분교습과정
연번1.0000.1020.1710.422
학원종류0.1021.0000.8580.993
분야구분0.1710.8581.0000.999
교습과정0.4220.9930.9991.000
2023-12-12T09:51:13.134377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분야구분학원종류
분야구분1.0000.889
학원종류0.8891.000
2023-12-12T09:51:13.242537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번학원종류분야구분
연번1.0000.0780.078
학원종류0.0781.0000.889
분야구분0.0780.8891.000

Missing values

2023-12-12T09:51:08.067026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:51:08.243496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번학원명학원종류분야구분학원주소전화번호교습과정
01한국사의달인원격교습학원학교교과교습학원입시.검정 및 보습서울특별시 강남구 강남대로 340 , 8층일부 (역삼동,경원빌딩)070-8733-0505보습
12프라임스템주니어학원학교교과교습학원종합(대)서울특별시 강남구 역삼로 448 , 황우거빌딩 1층 (대치동)02-2135-8015종합
23서초무용학원학교교과교습학원예능(대)서울특별시 서초구 사임당로 151 대한무지개종합상가 3층 (서초동)02-3474-9102무용
34백석대학교평생교육신학원평생직업교육학원종합(대)서울특별시 서초구 방배로 69 , 1층,3층~7층 (방배동)02-520-0764종합
45강남삼육외국어학원평생직업교육학원국제화서울특별시 강남구 학동로47길 15 , 3층, 4층 (논현동)02-512-3605어학(성인)
56현대음악학원학교교과교습학원예능(대)서울특별시 강남구 압구정로29길 68 , 주구센타 304호,305호,306호 (압구정동)02-543-0017음악
67샘밭미술학원학교교과교습학원예능(대)서울특별시 서초구 방배로16길 11-3 , 2층 (방배동)02-584-8561미술
78역삼실용음악학원학교교과교습학원예능(대)서울특별시 강남구 언주로 301 , 302호 (역삼동,수진빌딩)02-556-0667음악
89참좋은음악학원학교교과교습학원예능(대)서울특별시 서초구 서운로 207 삼호종합상가 301호(서초동)02-533-0905음악
910으뜸창조미술학원학교교과교습학원예능(대)서울특별시 서초구 신반포로 165 , 5층일부 (잠원동, 반포쇼핑타운)02-591-4247미술
연번학원명학원종류분야구분학원주소전화번호교습과정
36483649제이엠케이에듀케이션(JMK EDUCATION)학원학교교과교습학원입시.검정 및 보습서울특별시 강남구 역삼로 443 , 2층 (대치동)02-515-1862보습·논술
36493650919수학학원학교교과교습학원입시.검정 및 보습서울특별시 서초구 신반포로 31 , 제아이동 304호 (반포동)02-535-2643보습·논술
36503651월광서재이수독서실학교교과교습학원독서실서울특별시 서초구 동작대로 144 , 3층 (방배동)02-3477-1212독서실(유아/초·중·고)
36513652시대인재16학원학교교과교습학원입시.검정 및 보습서울특별시 강남구 도곡로 451 , 4층 (대치동, 한나빌딩)02-552-2373보습
36523653부동산멘토학원평생직업교육학원직업기술서울특별시 서초구 서초중앙로20길 15 , 3층 (서초동, 서원빌딩)02-586-8686부동산
36533654게임캔버스학원평생직업교육학원직업기술서울특별시 서초구 서초대로78길 44 , 4층 401호 (서초동, 나산스위트)02-588-5993컴퓨터(정보처리,통신기기,인터넷,소프트웨어)
36543655에스앤드에스프랩학원학교교과교습학원입시.검정 및 보습서울특별시 강남구 압구정로30길 63 , 2층 (신사동)02-547-0821보습·논술
36553656네온댄스학원학교교과교습학원기타(대)서울특별시 서초구 강남대로 545-21 , 2층 (반포동, 거림빌딩)02-545-1029기타(소)
36563657집중소대치1하임독서실학교교과교습학원독서실서울특별시 강남구 선릉로64길 11-5 , 201호 (대치동)02-556-0123독서실(유아/초·중·고)
36573658한국아이씨티학원평생직업교육학원직업기술서울특별시 서초구 신반포로 27-12 , A동 3층 일부(302호) (반포동)02-537-0076컴퓨터(정보처리,통신기기,인터넷,소프트웨어)