Overview

Dataset statistics

Number of variables27
Number of observations10000
Missing cells2494
Missing cells (%)0.9%
Duplicate rows20
Duplicate rows (%)0.2%
Total size in memory2.2 MiB
Average record size in memory227.0 B

Variable types

Text15
Categorical10
Numeric2

Dataset

Description강원도에 있는 학원 및 교습소 주소, 교육비 등
Author강원도교육청
URLhttps://www.data.go.kr/data/15016241/fileData.do

Alerts

Dataset has 20 (0.2%) duplicate rowsDuplicates
학원종류 is highly imbalanced (57.2%)Imbalance
등록상태 is highly imbalanced (95.6%)Imbalance
모의고사비 is highly imbalanced (97.1%)Imbalance
급식비 is highly imbalanced (98.7%)Imbalance
기숙사비 is highly imbalanced (97.5%)Imbalance
차량비 is highly imbalanced (95.6%)Imbalance
피복비 is highly imbalanced (91.1%)Imbalance
전화번호 has 2215 (22.1%) missing valuesMissing
강사수 has 326 (3.3%) zerosZeros

Reproduction

Analysis started2023-12-12 00:05:07.517913
Analysis finished2023-12-12 00:05:09.439613
Duration1.92 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학원명
Text

Distinct2105
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T09:05:09.863383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length27
Mean length8.3524
Min length3

Characters and Unicode

Total characters83524
Distinct characters669
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique313 ?
Unique (%)3.1%

Sample

1st row한우리독서토론논술학원
2nd rowGNB영어대성학원
3rd row잉글리쉬무무양양학습관학원
4th row초석대입전문학원
5th row잉글리쉬무무서원주제1학원
ValueCountFrequency (%)
더조은컴퓨터아트학원 58
 
0.6%
원중국어학원 53
 
0.5%
mbc아카데미뷰티학원 45
 
0.4%
플랜비학원 44
 
0.4%
초석학원 43
 
0.4%
뮤제미술학원 43
 
0.4%
반곡디안음악학원 36
 
0.3%
아트필아카데미음악학원 34
 
0.3%
뮤엠영어학원 31
 
0.3%
두레평생교육학원 30
 
0.3%
Other values (2183) 10117
96.0%
2023-12-12T09:05:10.209467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 11238
 
13.5%
원 10232
 
12.3%
어 1742
 
2.1%
스 1736
 
2.1%
아 1698
 
2.0%
수 1533
 
1.8%
음 1486
 
1.8%
악 1465
 
1.8%
이 1337
 
1.6%
미 1266
 
1.5%
Other values (659) 49791
59.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 77432
92.7%
Uppercase Letter 2922
 
3.5%
Lowercase Letter 1658
 
2.0%
Space Separator 534
 
0.6%
Other Punctuation 271
 
0.3%
Open Punctuation 253
 
0.3%
Close Punctuation 253
 
0.3%
Decimal Number 187
 
0.2%
Math Symbol 6
 
< 0.1%
Dash Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 11238
 
14.5%
원 10232
 
13.2%
어 1742
 
2.2%
스 1736
 
2.2%
아 1698
 
2.2%
수 1533
 
2.0%
음 1486
 
1.9%
악 1465
 
1.9%
이 1337
 
1.7%
미 1266
 
1.6%
Other values (588) 43699
56.4%
Uppercase Letter
ValueCountFrequency (%)
S 361
12.4%
E 311
 
10.6%
M 278
 
9.5%
B 276
 
9.4%
C 230
 
7.9%
G 141
 
4.8%
N 137
 
4.7%
L 122
 
4.2%
A 119
 
4.1%
I 115
 
3.9%
Other values (16) 832
28.5%
Lowercase Letter
ValueCountFrequency (%)
n 220
13.3%
e 186
11.2%
s 129
 
7.8%
o 123
 
7.4%
i 118
 
7.1%
a 111
 
6.7%
t 107
 
6.5%
l 95
 
5.7%
h 91
 
5.5%
u 82
 
4.9%
Other values (14) 396
23.9%
Other Punctuation
ValueCountFrequency (%)
& 127
46.9%
' 48
 
17.7%
, 38
 
14.0%
. 32
 
11.8%
· 9
 
3.3%
/ 9
 
3.3%
: 5
 
1.8%
? 3
 
1.1%
Decimal Number
ValueCountFrequency (%)
2 43
23.0%
3 41
21.9%
0 38
20.3%
1 33
17.6%
8 14
 
7.5%
7 9
 
4.8%
4 9
 
4.8%
Space Separator
ValueCountFrequency (%)
534
100.0%
Open Punctuation
ValueCountFrequency (%)
( 253
100.0%
Close Punctuation
ValueCountFrequency (%)
) 253
100.0%
Math Symbol
ValueCountFrequency (%)
+ 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77420
92.7%
Latin 4580
 
5.5%
Common 1512
 
1.8%
Han 12
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 11238
 
14.5%
원 10232
 
13.2%
어 1742
 
2.3%
스 1736
 
2.2%
아 1698
 
2.2%
수 1533
 
2.0%
음 1486
 
1.9%
악 1465
 
1.9%
이 1337
 
1.7%
미 1266
 
1.6%
Other values (586) 43687
56.4%
Latin
ValueCountFrequency (%)
S 361
 
7.9%
E 311
 
6.8%
M 278
 
6.1%
B 276
 
6.0%
C 230
 
5.0%
n 220
 
4.8%
e 186
 
4.1%
G 141
 
3.1%
N 137
 
3.0%
s 129
 
2.8%
Other values (40) 2311
50.5%
Common
ValueCountFrequency (%)
534
35.3%
( 253
16.7%
) 253
16.7%
& 127
 
8.4%
' 48
 
3.2%
2 43
 
2.8%
3 41
 
2.7%
0 38
 
2.5%
, 38
 
2.5%
1 33
 
2.2%
Other values (11) 104
 
6.9%
Han
ValueCountFrequency (%)
秀 6
50.0%
感 6
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 77420
92.7%
ASCII 6083
 
7.3%
CJK 12
 
< 0.1%
None 9
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 11238
 
14.5%
원 10232
 
13.2%
어 1742
 
2.3%
스 1736
 
2.2%
아 1698
 
2.2%
수 1533
 
2.0%
음 1486
 
1.9%
악 1465
 
1.9%
이 1337
 
1.7%
미 1266
 
1.6%
Other values (586) 43687
56.4%
ASCII
ValueCountFrequency (%)
534
 
8.8%
S 361
 
5.9%
E 311
 
5.1%
M 278
 
4.6%
B 276
 
4.5%
( 253
 
4.2%
) 253
 
4.2%
C 230
 
3.8%
n 220
 
3.6%
e 186
 
3.1%
Other values (60) 3181
52.3%
None
ValueCountFrequency (%)
· 9
100.0%
CJK
ValueCountFrequency (%)
秀 6
50.0%
感 6
50.0%

학원종류
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
학교교과교습학원
9125 
평생직업교육학원
 
875

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
학교교과교습학원 9125
91.2%
평생직업교육학원 875
 
8.8%

Length

2023-12-12T09:05:10.344576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:05:10.438039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학교교과교습학원 9125
91.2%
평생직업교육학원 875
 
8.8%

분야구분
Categorical

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
입시.검정 및 보습
4713 
예능(대)
2632 
국제화
699 
종합(대)
678 
직업기술
582 
Other values (5)
696 

Length

Max length10
Median length7
Mean length7.1211
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row입시.검정 및 보습
2nd row입시.검정 및 보습
3rd row입시.검정 및 보습
4th row입시.검정 및 보습
5th row국제화

Common Values

ValueCountFrequency (%)
입시.검정 및 보습 4713
47.1%
예능(대) 2632
26.3%
국제화 699
 
7.0%
종합(대) 678
 
6.8%
직업기술 582
 
5.8%
독서실 274
 
2.7%
기타(대) 191
 
1.9%
기예(대) 144
 
1.4%
인문사회(대) 83
 
0.8%
특수교육(대) 4
 
< 0.1%

Length

2023-12-12T09:05:10.534317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:05:10.638123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
입시.검정 4713
24.3%
및 4713
24.3%
보습 4713
24.3%
예능(대 2632
13.5%
국제화 699
 
3.6%
종합(대 678
 
3.5%
직업기술 582
 
3.0%
독서실 274
 
1.4%
기타(대 191
 
1.0%
기예(대 144
 
0.7%
Other values (2) 87
 
0.4%

학원주소
Text

Distinct2109
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T09:05:10.948352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length52
Mean length28.9851
Min length18

Characters and Unicode

Total characters289851
Distinct characters468
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

Unique307 ?
Unique (%)3.1%

Sample

1st row강원도 동해시 한섬로 36 (천곡동,아태기술단)
2nd row강원도 철원군 갈말읍 명성로149번길 1 (갈말읍)
3rd row강원도 양양군 양양읍 양양로 60-1 , 2층, 3층 (양양읍)
4th row강원도 원주시 서원대로 410 , 303,304호 (단구동, 한솔프라자)
5th row강원도 원주시 남원로469번길 25-39 (명륜동)
ValueCountFrequency (%)
강원도 9975
 
14.8%
6575
 
9.8%
원주시 3133
 
4.6%
춘천시 2112
 
3.1%
2층 2092
 
3.1%
강릉시 1756
 
2.6%
3층 1239
 
1.8%
교동 737
 
1.1%
석사동 639
 
0.9%
1층 630
 
0.9%
Other values (2154) 38537
57.2%
2023-12-12T09:05:11.396469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
57526
19.8%
원 14865
 
5.1%
강 12223
 
4.2%
동 10447
 
3.6%
( 10171
 
3.5%
) 10171
 
3.5%
도 10072
 
3.5%
, 9573
 
3.3%
시 9173
 
3.2%
1 8278
 
2.9%
Other values (458) 137352
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 155210
53.5%
Space Separator 57526
 
19.8%
Decimal Number 43895
 
15.1%
Open Punctuation 10171
 
3.5%
Close Punctuation 10171
 
3.5%
Other Punctuation 9800
 
3.4%
Dash Punctuation 2580
 
0.9%
Uppercase Letter 261
 
0.1%
Lowercase Letter 211
 
0.1%
Math Symbol 26
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 14865
 
9.6%
강 12223
 
7.9%
동 10447
 
6.7%
도 10072
 
6.5%
시 9173
 
5.9%
로 7653
 
4.9%
층 5527
 
3.6%
천 4355
 
2.8%
길 4073
 
2.6%
주 3593
 
2.3%
Other values (408) 73229
47.2%
Uppercase Letter
ValueCountFrequency (%)
G 44
16.9%
B 24
9.2%
A 24
9.2%
M 23
8.8%
I 23
8.8%
F 21
8.0%
C 19
7.3%
S 18
6.9%
L 14
 
5.4%
K 12
 
4.6%
Other values (7) 39
14.9%
Lowercase Letter
ValueCountFrequency (%)
o 37
17.5%
t 33
15.6%
e 27
12.8%
r 21
10.0%
m 18
8.5%
a 18
8.5%
n 14
 
6.6%
p 12
 
5.7%
l 9
 
4.3%
y 9
 
4.3%
Other values (4) 13
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 8278
18.9%
2 8089
18.4%
3 5969
13.6%
4 4685
10.7%
0 3653
8.3%
5 3539
8.1%
6 2700
 
6.2%
7 2508
 
5.7%
8 2252
 
5.1%
9 2222
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 9573
97.7%
. 211
 
2.2%
/ 13
 
0.1%
· 3
 
< 0.1%
Space Separator
ValueCountFrequency (%)
57526
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10171
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10171
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2580
100.0%
Math Symbol
ValueCountFrequency (%)
~ 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 155210
53.5%
Common 134169
46.3%
Latin 472
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 14865
 
9.6%
강 12223
 
7.9%
동 10447
 
6.7%
도 10072
 
6.5%
시 9173
 
5.9%
로 7653
 
4.9%
층 5527
 
3.6%
천 4355
 
2.8%
길 4073
 
2.6%
주 3593
 
2.3%
Other values (408) 73229
47.2%
Latin
ValueCountFrequency (%)
G 44
 
9.3%
o 37
 
7.8%
t 33
 
7.0%
e 27
 
5.7%
B 24
 
5.1%
A 24
 
5.1%
M 23
 
4.9%
I 23
 
4.9%
r 21
 
4.4%
F 21
 
4.4%
Other values (21) 195
41.3%
Common
ValueCountFrequency (%)
57526
42.9%
( 10171
 
7.6%
) 10171
 
7.6%
, 9573
 
7.1%
1 8278
 
6.2%
2 8089
 
6.0%
3 5969
 
4.4%
4 4685
 
3.5%
0 3653
 
2.7%
5 3539
 
2.6%
Other values (9) 12515
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 155206
53.5%
ASCII 134638
46.5%
Compat Jamo 4
 
< 0.1%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
57526
42.7%
( 10171
 
7.6%
) 10171
 
7.6%
, 9573
 
7.1%
1 8278
 
6.1%
2 8089
 
6.0%
3 5969
 
4.4%
4 4685
 
3.5%
0 3653
 
2.7%
5 3539
 
2.6%
Other values (39) 12984
 
9.6%
Hangul
ValueCountFrequency (%)
원 14865
 
9.6%
강 12223
 
7.9%
동 10447
 
6.7%
도 10072
 
6.5%
시 9173
 
5.9%
로 7653
 
4.9%
층 5527
 
3.6%
천 4355
 
2.8%
길 4073
 
2.6%
주 3593
 
2.3%
Other values (407) 73225
47.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
100.0%
None
ValueCountFrequency (%)
· 3
100.0%

등록상태
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
개원
9919 
자진휴원(소)
 
79
직권휴원(소)
 
2

Length

Max length7
Median length2
Mean length2.0405
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개원 9919
99.2%
자진휴원(소) 79
 
0.8%
직권휴원(소) 2
 
< 0.1%

Length

2023-12-12T09:05:11.530791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:05:11.670140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개원 9919
99.2%
자진휴원(소 79
 
0.8%
직권휴원(소 2
 
< 0.1%

설립자-성명
Text

Distinct1919
Distinct (%)19.3%
Missing54
Missing (%)0.5%
Memory size156.2 KiB
2023-12-12T09:05:11.964377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length3
Mean length3.6973658
Min length2

Characters and Unicode

Total characters36774
Distinct characters307
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique275 ?
Unique (%)2.8%

Sample

1st row선흥임
2nd row김명훈
3rd row백명옥
4th row주식회사 초석대입전문학원
5th row김연주
ValueCountFrequency (%)
주식회사 368
 
3.5%
대교 190
 
1.8%
주)웅진씽크빅 137
 
1.3%
주)대교 83
 
0.8%
주)초석학원 71
 
0.7%
박민춘박천기 58
 
0.6%
차성오 53
 
0.5%
김명희 47
 
0.5%
주)뷰티르샤 45
 
0.4%
전범우 44
 
0.4%
Other values (1928) 9319
89.5%
2023-12-12T09:05:12.511747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 2330
 
6.3%
이 1488
 
4.0%
주 1461
 
4.0%
정 1083
 
2.9%
영 1001
 
2.7%
희 871
 
2.4%
박 797
 
2.2%
진 789
 
2.1%
미 656
 
1.8%
최 634
 
1.7%
Other values (297) 25664
69.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34934
95.0%
Close Punctuation 556
 
1.5%
Open Punctuation 555
 
1.5%
Space Separator 476
 
1.3%
Uppercase Letter 247
 
0.7%
Decimal Number 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 2330
 
6.7%
이 1488
 
4.3%
주 1461
 
4.2%
정 1083
 
3.1%
영 1001
 
2.9%
희 871
 
2.5%
박 797
 
2.3%
진 789
 
2.3%
미 656
 
1.9%
최 634
 
1.8%
Other values (273) 23824
68.2%
Uppercase Letter
ValueCountFrequency (%)
A 30
12.1%
O 25
10.1%
R 23
 
9.3%
E 19
 
7.7%
I 18
 
7.3%
N 17
 
6.9%
G 17
 
6.9%
Y 17
 
6.9%
C 12
 
4.9%
H 11
 
4.5%
Other values (10) 58
23.5%
Close Punctuation
ValueCountFrequency (%)
) 556
100.0%
Open Punctuation
ValueCountFrequency (%)
( 555
100.0%
Space Separator
ValueCountFrequency (%)
476
100.0%
Decimal Number
ValueCountFrequency (%)
1 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34934
95.0%
Common 1593
 
4.3%
Latin 247
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 2330
 
6.7%
이 1488
 
4.3%
주 1461
 
4.2%
정 1083
 
3.1%
영 1001
 
2.9%
희 871
 
2.5%
박 797
 
2.3%
진 789
 
2.3%
미 656
 
1.9%
최 634
 
1.8%
Other values (273) 23824
68.2%
Latin
ValueCountFrequency (%)
A 30
12.1%
O 25
10.1%
R 23
 
9.3%
E 19
 
7.7%
I 18
 
7.3%
N 17
 
6.9%
G 17
 
6.9%
Y 17
 
6.9%
C 12
 
4.9%
H 11
 
4.5%
Other values (10) 58
23.5%
Common
ValueCountFrequency (%)
) 556
34.9%
( 555
34.8%
476
29.9%
1 6
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34934
95.0%
ASCII 1840
 
5.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 2330
 
6.7%
이 1488
 
4.3%
주 1461
 
4.2%
정 1083
 
3.1%
영 1001
 
2.9%
희 871
 
2.5%
박 797
 
2.3%
진 789
 
2.3%
미 656
 
1.9%
최 634
 
1.8%
Other values (273) 23824
68.2%
ASCII
ValueCountFrequency (%)
) 556
30.2%
( 555
30.2%
476
25.9%
A 30
 
1.6%
O 25
 
1.4%
R 23
 
1.2%
E 19
 
1.0%
I 18
 
1.0%
N 17
 
0.9%
G 17
 
0.9%
Other values (14) 104
 
5.7%

전화번호
Text

MISSING 

Distinct1655
Distinct (%)21.3%
Missing2215
Missing (%)22.1%
Memory size156.2 KiB
2023-12-12T09:05:12.790161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.013359
Min length11

Characters and Unicode

Total characters93524
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

Unique232 ?
Unique (%)3.0%

Sample

1st row033-533-4696
2nd row033-452-0522
3rd row033-672-6721
4th row033-766-8773
5th row033-765-0599
ValueCountFrequency (%)
033-766-8773 86
 
1.1%
033-2551-278 58
 
0.7%
033-263-6025 53
 
0.7%
033-745-7557 44
 
0.6%
033-734-1739 36
 
0.5%
033-766-4500 32
 
0.4%
033-747-8774 31
 
0.4%
033-766-5266 30
 
0.4%
033-646-5611 29
 
0.4%
033-636-7575 28
 
0.4%
Other values (1645) 7358
94.5%
2023-12-12T09:05:13.260809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 21472
23.0%
- 15570
16.6%
0 13003
13.9%
6 7400
 
7.9%
7 7080
 
7.6%
5 7057
 
7.5%
2 6153
 
6.6%
4 5687
 
6.1%
1 3816
 
4.1%
8 3193
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 77954
83.4%
Dash Punctuation 15570
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 21472
27.5%
0 13003
16.7%
6 7400
 
9.5%
7 7080
 
9.1%
5 7057
 
9.1%
2 6153
 
7.9%
4 5687
 
7.3%
1 3816
 
4.9%
8 3193
 
4.1%
9 3093
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 15570
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 93524
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 21472
23.0%
- 15570
16.6%
0 13003
13.9%
6 7400
 
7.9%
7 7080
 
7.6%
5 7057
 
7.5%
2 6153
 
6.6%
4 5687
 
6.1%
1 3816
 
4.1%
8 3193
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 93524
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 21472
23.0%
- 15570
16.6%
0 13003
13.9%
6 7400
 
7.9%
7 7080
 
7.6%
5 7057
 
7.5%
2 6153
 
6.6%
4 5687
 
6.1%
1 3816
 
4.1%
8 3193
 
3.4%

일시수용능력인원
Real number (ℝ)

Distinct202
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.0053
Minimum0
Maximum720
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T09:05:13.442886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q130
median60
Q390
95-th percentile200
Maximum720
Range720
Interquartile range (IQR)60

Descriptive statistics

Standard deviation67.435562
Coefficient of variation (CV)0.91122612
Kurtosis12.561977
Mean74.0053
Median Absolute Deviation (MAD)30
Skewness2.8531571
Sum740053
Variance4547.555
MonotonicityNot monotonic
2023-12-12T09:05:13.611947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60 1162
 
11.6%
30 587
 
5.9%
10 518
 
5.2%
20 505
 
5.1%
80 361
 
3.6%
100 337
 
3.4%
40 326
 
3.3%
50 325
 
3.2%
70 294
 
2.9%
120 238
 
2.4%
Other values (192) 5347
53.5%
ValueCountFrequency (%)
0 12
 
0.1%
1 8
 
0.1%
5 32
 
0.3%
6 26
 
0.3%
7 18
 
0.2%
8 97
 
1.0%
9 69
 
0.7%
10 518
5.2%
11 14
 
0.1%
12 96
 
1.0%
ValueCountFrequency (%)
720 4
 
< 0.1%
610 5
 
0.1%
580 2
 
< 0.1%
510 2
 
< 0.1%
500 5
 
0.1%
472 3
 
< 0.1%
410 21
0.2%
405 8
 
0.1%
400 10
0.1%
390 18
0.2%

정원합계
Text

Distinct323
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T09:05:14.016953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length2.702
Min length1

Characters and Unicode

Total characters27020
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

Unique9 ?
Unique (%)0.1%

Sample

1st row100
2nd row57
3rd row120
4th row306
5th row40
ValueCountFrequency (%)
120 439
 
4.4%
60 384
 
3.8%
100 376
 
3.8%
80 356
 
3.6%
180 297
 
3.0%
90 278
 
2.8%
50 206
 
2.1%
240 189
 
1.9%
150 188
 
1.9%
70 182
 
1.8%
Other values (313) 7105
71.0%
2023-12-12T09:05:14.561111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7278
26.9%
1 4154
15.4%
2 3094
11.5%
4 2205
 
8.2%
5 2150
 
8.0%
8 1956
 
7.2%
6 1930
 
7.1%
3 1711
 
6.3%
7 1271
 
4.7%
9 1115
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 26864
99.4%
Other Punctuation 156
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7278
27.1%
1 4154
15.5%
2 3094
11.5%
4 2205
 
8.2%
5 2150
 
8.0%
8 1956
 
7.3%
6 1930
 
7.2%
3 1711
 
6.4%
7 1271
 
4.7%
9 1115
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 156
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 27020
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7278
26.9%
1 4154
15.4%
2 3094
11.5%
4 2205
 
8.2%
5 2150
 
8.0%
8 1956
 
7.2%
6 1930
 
7.1%
3 1711
 
6.3%
7 1271
 
4.7%
9 1115
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27020
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7278
26.9%
1 4154
15.4%
2 3094
11.5%
4 2205
 
8.2%
5 2150
 
8.0%
8 1956
 
7.2%
6 1930
 
7.1%
3 1711
 
6.3%
7 1271
 
4.7%
9 1115
 
4.1%

교습계열
Categorical

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
보통교과
4708 
예능(중)
2632 
외국어
691 
<NA>
678 
산업응용기술
 
366
Other values (13)
925 

Length

Max length7
Median length4
Mean length4.3095
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row보통교과
2nd row보통교과
3rd row보통교과
4th row보통교과
5th row외국어

Common Values

ValueCountFrequency (%)
보통교과 4708
47.1%
예능(중) 2632
26.3%
외국어 691
 
6.9%
<NA> 678
 
6.8%
산업응용기술 366
 
3.7%
독서실 273
 
2.7%
기타(중) 191
 
1.9%
기예(중) 144
 
1.4%
컴퓨터 101
 
1.0%
산업기반기술 87
 
0.9%
Other values (8) 129
 
1.3%

Length

2023-12-12T09:05:14.730485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
보통교과 4708
47.1%
예능(중 2632
26.3%
외국어 691
 
6.9%
na 678
 
6.8%
산업응용기술 366
 
3.7%
독서실 273
 
2.7%
기타(중 191
 
1.9%
기예(중 144
 
1.4%
컴퓨터 101
 
1.0%
산업기반기술 87
 
0.9%
Other values (8) 129
 
1.3%

교습과정
Categorical

Distinct50
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
보습
2833 
음악
1868 
입시
1665 
실용외국어(유아/초?중?고)
684 
<NA>
678 
Other values (45)
2272 

Length

Max length24
Median length2
Mean length4.0306
Min length2

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st row입시?논술
2nd row보습
3rd row입시
4th row입시
5th row실용외국어(유아/초?중?고)

Common Values

ValueCountFrequency (%)
보습 2833
28.3%
음악 1868
18.7%
입시 1665
16.7%
실용외국어(유아/초?중?고) 684
 
6.8%
<NA> 678
 
6.8%
미술 597
 
6.0%
독서실(유아/초?중?고) 273
 
2.7%
이·미용 209
 
2.1%
무용 167
 
1.7%
식음료품(바리스타,소믈리에) 142
 
1.4%
Other values (40) 884
 
8.8%

Length

2023-12-12T09:05:14.857921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
보습 2833
28.3%
음악 1868
18.7%
입시 1665
16.7%
실용외국어(유아/초?중?고 684
 
6.8%
na 678
 
6.8%
미술 597
 
6.0%
독서실(유아/초?중?고 273
 
2.7%
이·미용 209
 
2.1%
무용 167
 
1.7%
식음료품(바리스타,소믈리에 142
 
1.4%
Other values (40) 884
 
8.8%

교습과목(반)
Text

Distinct4607
Distinct (%)46.2%
Missing25
Missing (%)0.2%
Memory size156.2 KiB
2023-12-12T09:05:15.151284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length31
Mean length5.9873684
Min length1

Characters and Unicode

Total characters59724
Distinct characters567
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3713 ?
Unique (%)37.2%

Sample

1st row중등독서논술(영어)
2nd row중고수학
3rd row초등수학기본
4th row고등영어
5th row영어
ValueCountFrequency (%)
중등수학 276
 
2.6%
고등수학 239
 
2.2%
초등수학 232
 
2.2%
중등영어 211
 
2.0%
초등영어 209
 
2.0%
고등영어 193
 
1.8%
영어 102
 
1.0%
피아노 90
 
0.8%
피아노(중급 81
 
0.8%
중등 76
 
0.7%
Other values (4431) 8980
84.0%
2023-12-12T09:05:15.601324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
등 4780
 
8.0%
) 3062
 
5.1%
( 3051
 
5.1%
초 2650
 
4.4%
학 2569
 
4.3%
중 2563
 
4.3%
어 2330
 
3.9%
수 2308
 
3.9%
고 2157
 
3.6%
영 2039
 
3.4%
Other values (557) 32215
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46228
77.4%
Decimal Number 3077
 
5.2%
Close Punctuation 3063
 
5.1%
Open Punctuation 3052
 
5.1%
Uppercase Letter 1487
 
2.5%
Other Punctuation 1262
 
2.1%
Space Separator 732
 
1.2%
Lowercase Letter 581
 
1.0%
Dash Punctuation 118
 
0.2%
Math Symbol 71
 
0.1%
Other values (2) 53
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
등 4780
 
10.3%
초 2650
 
5.7%
학 2569
 
5.6%
중 2563
 
5.5%
어 2330
 
5.0%
수 2308
 
5.0%
고 2157
 
4.7%
영 2039
 
4.4%
급 1454
 
3.1%
아 1075
 
2.3%
Other values (475) 22303
48.2%
Lowercase Letter
ValueCountFrequency (%)
e 69
11.9%
r 53
 
9.1%
a 52
 
9.0%
n 50
 
8.6%
i 50
 
8.6%
o 38
 
6.5%
t 33
 
5.7%
s 29
 
5.0%
l 27
 
4.6%
m 27
 
4.6%
Other values (16) 153
26.3%
Uppercase Letter
ValueCountFrequency (%)
A 335
22.5%
B 255
17.1%
C 139
9.3%
S 88
 
5.9%
D 81
 
5.4%
E 64
 
4.3%
T 61
 
4.1%
H 55
 
3.7%
K 50
 
3.4%
I 49
 
3.3%
Other values (15) 310
20.8%
Decimal Number
ValueCountFrequency (%)
1 883
28.7%
2 734
23.9%
3 518
16.8%
0 383
12.4%
4 231
 
7.5%
5 173
 
5.6%
6 101
 
3.3%
8 21
 
0.7%
7 20
 
0.6%
9 13
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 1005
79.6%
. 141
 
11.2%
/ 86
 
6.8%
& 22
 
1.7%
· 4
 
0.3%
* 4
 
0.3%
Letter Number
ValueCountFrequency (%)
Ⅰ 12
38.7%
Ⅱ 10
32.3%
Ⅲ 5
16.1%
Ⅳ 2
 
6.5%
Ⅵ 1
 
3.2%
Ⅴ 1
 
3.2%
Close Punctuation
ValueCountFrequency (%)
) 3062
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 3051
> 99.9%
[ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 46
64.8%
+ 25
35.2%
Space Separator
ValueCountFrequency (%)
732
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46227
77.4%
Common 11397
 
19.1%
Latin 2099
 
3.5%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
등 4780
 
10.3%
초 2650
 
5.7%
학 2569
 
5.6%
중 2563
 
5.5%
어 2330
 
5.0%
수 2308
 
5.0%
고 2157
 
4.7%
영 2039
 
4.4%
급 1454
 
3.1%
아 1075
 
2.3%
Other values (474) 22302
48.2%
Latin
ValueCountFrequency (%)
A 335
 
16.0%
B 255
 
12.1%
C 139
 
6.6%
S 88
 
4.2%
D 81
 
3.9%
e 69
 
3.3%
E 64
 
3.0%
T 61
 
2.9%
H 55
 
2.6%
r 53
 
2.5%
Other values (47) 899
42.8%
Common
ValueCountFrequency (%)
) 3062
26.9%
( 3051
26.8%
, 1005
 
8.8%
1 883
 
7.7%
2 734
 
6.4%
732
 
6.4%
3 518
 
4.5%
0 383
 
3.4%
4 231
 
2.0%
5 173
 
1.5%
Other values (15) 625
 
5.5%
Han
ValueCountFrequency (%)
美 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46219
77.4%
ASCII 13461
 
22.5%
Number Forms 31
 
0.1%
Compat Jamo 8
 
< 0.1%
None 4
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
등 4780
 
10.3%
초 2650
 
5.7%
학 2569
 
5.6%
중 2563
 
5.5%
어 2330
 
5.0%
수 2308
 
5.0%
고 2157
 
4.7%
영 2039
 
4.4%
급 1454
 
3.1%
아 1075
 
2.3%
Other values (472) 22294
48.2%
ASCII
ValueCountFrequency (%)
) 3062
22.7%
( 3051
22.7%
, 1005
 
7.5%
1 883
 
6.6%
2 734
 
5.5%
732
 
5.4%
3 518
 
3.8%
0 383
 
2.8%
A 335
 
2.5%
B 255
 
1.9%
Other values (65) 2503
18.6%
Number Forms
ValueCountFrequency (%)
Ⅰ 12
38.7%
Ⅱ 10
32.3%
Ⅲ 5
16.1%
Ⅳ 2
 
6.5%
Ⅵ 1
 
3.2%
Ⅴ 1
 
3.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 7
87.5%
ㅇ 1
 
12.5%
None
ValueCountFrequency (%)
· 4
100.0%
CJK
ValueCountFrequency (%)
美 1
100.0%

정원
Text

Distinct131
Distinct (%)1.3%
Missing25
Missing (%)0.2%
Memory size156.2 KiB
2023-12-12T09:05:15.828870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length2
Mean length1.8244612
Min length1

Characters and Unicode

Total characters18199
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

Unique34 ?
Unique (%)0.3%

Sample

1st row10
2nd row15
3rd row10
4th row18
5th row10
ValueCountFrequency (%)
10 2356
23.6%
20 1351
13.5%
15 870
 
8.7%
30 627
 
6.3%
12 498
 
5.0%
8 442
 
4.4%
5 436
 
4.4%
40 311
 
3.1%
6 308
 
3.1%
7 276
 
2.8%
Other values (121) 2500
25.1%
2023-12-12T09:05:16.137506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5264
28.9%
1 4503
24.7%
2 2535
13.9%
5 1874
 
10.3%
3 1008
 
5.5%
4 906
 
5.0%
6 732
 
4.0%
8 684
 
3.8%
7 470
 
2.6%
9 221
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18197
> 99.9%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5264
28.9%
1 4503
24.7%
2 2535
13.9%
5 1874
 
10.3%
3 1008
 
5.5%
4 906
 
5.0%
6 732
 
4.0%
8 684
 
3.8%
7 470
 
2.6%
9 221
 
1.2%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18199
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5264
28.9%
1 4503
24.7%
2 2535
13.9%
5 1874
 
10.3%
3 1008
 
5.5%
4 906
 
5.0%
6 732
 
4.0%
8 684
 
3.8%
7 470
 
2.6%
9 221
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18199
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5264
28.9%
1 4503
24.7%
2 2535
13.9%
5 1874
 
10.3%
3 1008
 
5.5%
4 906
 
5.0%
6 732
 
4.0%
8 684
 
3.8%
7 470
 
2.6%
9 221
 
1.2%

교습기간
Text

Distinct60
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T09:05:16.307107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length6.2952
Min length6

Characters and Unicode

Total characters62952
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)0.1%

Sample

1st row1개월 0일
2nd row1개월 0일
3rd row1개월 0일
4th row1개월 0일
5th row1개월 21일
ValueCountFrequency (%)
1개월 7008
35.0%
0일 6783
33.9%
0개월 2757
 
13.8%
21일 2128
 
10.6%
20일 273
 
1.4%
13일 161
 
0.8%
9일 129
 
0.6%
4일 108
 
0.5%
12개월 101
 
0.5%
17일 70
 
0.4%
Other values (31) 482
 
2.4%
2023-12-12T09:05:16.585372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
개 10000
15.9%
월 10000
15.9%
10000
15.9%
일 10000
15.9%
0 9860
15.7%
1 9665
15.4%
2 2706
 
4.3%
3 230
 
0.4%
4 136
 
0.2%
9 129
 
0.2%
Other values (4) 226
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30000
47.7%
Decimal Number 22952
36.5%
Space Separator 10000
 
15.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9860
43.0%
1 9665
42.1%
2 2706
 
11.8%
3 230
 
1.0%
4 136
 
0.6%
9 129
 
0.6%
7 79
 
0.3%
6 62
 
0.3%
5 49
 
0.2%
8 36
 
0.2%
Other Letter
ValueCountFrequency (%)
개 10000
33.3%
월 10000
33.3%
일 10000
33.3%
Space Separator
ValueCountFrequency (%)
10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32952
52.3%
Hangul 30000
47.7%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
30.3%
0 9860
29.9%
1 9665
29.3%
2 2706
 
8.2%
3 230
 
0.7%
4 136
 
0.4%
9 129
 
0.4%
7 79
 
0.2%
6 62
 
0.2%
5 49
 
0.1%
Hangul
ValueCountFrequency (%)
개 10000
33.3%
월 10000
33.3%
일 10000
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32952
52.3%
Hangul 30000
47.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
개 10000
33.3%
월 10000
33.3%
일 10000
33.3%
ASCII
ValueCountFrequency (%)
10000
30.3%
0 9860
29.9%
1 9665
29.3%
2 2706
 
8.2%
3 230
 
0.7%
4 136
 
0.4%
9 129
 
0.4%
7 79
 
0.2%
6 62
 
0.2%
5 49
 
0.1%

총교습시간(분)
Text

Distinct462
Distinct (%)4.6%
Missing25
Missing (%)0.2%
Memory size156.2 KiB
2023-12-12T09:05:16.934731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length4.4720802
Min length1

Characters and Unicode

Total characters44609
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

Unique182 ?
Unique (%)1.8%

Sample

1st row1,050
2nd row1,050
3rd row1,050
4th row378
5th row1,200
ValueCountFrequency (%)
1,260 1679
 
16.8%
1,512 680
 
6.8%
1,008 487
 
4.9%
1,050 472
 
4.7%
756 354
 
3.5%
1,134 347
 
3.5%
1,890 270
 
2.7%
1,200 248
 
2.5%
504 232
 
2.3%
2,520 209
 
2.1%
Other values (452) 4997
50.1%
2023-12-12T09:05:17.421552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9539
21.4%
1 7687
17.2%
, 7311
16.4%
2 5153
11.6%
6 3472
 
7.8%
5 2994
 
6.7%
8 2380
 
5.3%
4 2332
 
5.2%
3 1694
 
3.8%
7 1182
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 37298
83.6%
Other Punctuation 7311
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9539
25.6%
1 7687
20.6%
2 5153
13.8%
6 3472
 
9.3%
5 2994
 
8.0%
8 2380
 
6.4%
4 2332
 
6.3%
3 1694
 
4.5%
7 1182
 
3.2%
9 865
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 7311
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 44609
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9539
21.4%
1 7687
17.2%
, 7311
16.4%
2 5153
11.6%
6 3472
 
7.8%
5 2994
 
6.7%
8 2380
 
5.3%
4 2332
 
5.2%
3 1694
 
3.8%
7 1182
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44609
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9539
21.4%
1 7687
17.2%
, 7311
16.4%
2 5153
11.6%
6 3472
 
7.8%
5 2994
 
6.7%
8 2380
 
5.3%
4 2332
 
5.2%
3 1694
 
3.8%
7 1182
 
2.6%

교습비
Text

Distinct374
Distinct (%)3.7%
Missing25
Missing (%)0.2%
Memory size156.2 KiB
2023-12-12T09:05:17.695636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length6.8497243
Min length1

Characters and Unicode

Total characters68326
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

Unique153 ?
Unique (%)1.5%

Sample

1st row150,000
2nd row120,000
3rd row140,000
4th row80,000
5th row115,000
ValueCountFrequency (%)
150,000 823
 
8.3%
200,000 777
 
7.8%
120,000 595
 
6.0%
250,000 558
 
5.6%
130,000 475
 
4.8%
100,000 449
 
4.5%
180,000 419
 
4.2%
300,000 378
 
3.8%
140,000 362
 
3.6%
160,000 333
 
3.3%
Other values (364) 4806
48.2%
2023-12-12T09:05:18.098968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 40519
59.3%
, 10036
 
14.7%
1 5110
 
7.5%
2 3659
 
5.4%
5 2511
 
3.7%
3 2108
 
3.1%
4 1058
 
1.5%
8 1009
 
1.5%
6 961
 
1.4%
7 835
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 58290
85.3%
Other Punctuation 10036
 
14.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 40519
69.5%
1 5110
 
8.8%
2 3659
 
6.3%
5 2511
 
4.3%
3 2108
 
3.6%
4 1058
 
1.8%
8 1009
 
1.7%
6 961
 
1.6%
7 835
 
1.4%
9 520
 
0.9%
Other Punctuation
ValueCountFrequency (%)
, 10036
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 68326
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 40519
59.3%
, 10036
 
14.7%
1 5110
 
7.5%
2 3659
 
5.4%
5 2511
 
3.7%
3 2108
 
3.1%
4 1058
 
1.5%
8 1009
 
1.5%
6 961
 
1.4%
7 835
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 68326
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 40519
59.3%
, 10036
 
14.7%
1 5110
 
7.5%
2 3659
 
5.4%
5 2511
 
3.7%
3 2108
 
3.1%
4 1058
 
1.5%
8 1009
 
1.5%
6 961
 
1.4%
7 835
 
1.2%

교습비(시간당)
Text

Distinct1170
Distinct (%)11.7%
Missing25
Missing (%)0.2%
Memory size156.2 KiB
2023-12-12T09:05:18.482718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length5
Mean length5.1825564
Min length1

Characters and Unicode

Total characters51696
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

Unique559 ?
Unique (%)5.6%

Sample

1st row8,571
2nd row6,857
3rd row8,000
4th row12,698
5th row5,750
ValueCountFrequency (%)
9,524 648
 
6.5%
7,143 473
 
4.7%
8,571 398
 
4.0%
11,905 325
 
3.3%
7,937 287
 
2.9%
8,929 225
 
2.3%
8,333 200
 
2.0%
7,619 190
 
1.9%
5,714 186
 
1.9%
7,500 167
 
1.7%
Other values (1160) 6876
68.9%
2023-12-12T09:05:18.986444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 9745
18.9%
0 6026
11.7%
1 5994
11.6%
9 4741
9.2%
7 4487
8.7%
5 4144
8.0%
8 3764
 
7.3%
4 3324
 
6.4%
3 3311
 
6.4%
2 3274
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 41951
81.1%
Other Punctuation 9745
 
18.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6026
14.4%
1 5994
14.3%
9 4741
11.3%
7 4487
10.7%
5 4144
9.9%
8 3764
9.0%
4 3324
7.9%
3 3311
7.9%
2 3274
7.8%
6 2886
6.9%
Other Punctuation
ValueCountFrequency (%)
, 9745
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 51696
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
, 9745
18.9%
0 6026
11.7%
1 5994
11.6%
9 4741
9.2%
7 4487
8.7%
5 4144
8.0%
8 3764
 
7.3%
4 3324
 
6.4%
3 3311
 
6.4%
2 3274
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 51696
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 9745
18.9%
0 6026
11.7%
1 5994
11.6%
9 4741
9.2%
7 4487
8.7%
5 4144
8.0%
8 3764
 
7.3%
4 3324
 
6.4%
3 3311
 
6.4%
2 3274
 
6.3%

모의고사비
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9913 
<NA>
 
25
10,000
 
23
15,000
 
11
30,000
 
9
Other values (5)
 
19

Length

Max length6
Median length1
Mean length1.0381
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9913
99.1%
<NA> 25
 
0.2%
10,000 23
 
0.2%
15,000 11
 
0.1%
30,000 9
 
0.1%
50,000 7
 
0.1%
5,000 4
 
< 0.1%
42,000 4
 
< 0.1%
20,000 3
 
< 0.1%
40,000 1
 
< 0.1%

Length

2023-12-12T09:05:19.133685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:05:19.237744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9913
99.1%
na 25
 
0.2%
10,000 23
 
0.2%
15,000 11
 
0.1%
30,000 9
 
0.1%
50,000 7
 
0.1%
5,000 4
 
< 0.1%
42,000 4
 
< 0.1%
20,000 3
 
< 0.1%
40,000 1
 
< 0.1%

재료비
Text

Distinct96
Distinct (%)1.0%
Missing25
Missing (%)0.2%
Memory size156.2 KiB
2023-12-12T09:05:19.442752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length1
Mean length1.2292732
Min length1

Characters and Unicode

Total characters12262
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

Unique56 ?
Unique (%)0.6%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 9552
95.8%
30,000 77
 
0.8%
10,000 52
 
0.5%
20,000 32
 
0.3%
15,000 18
 
0.2%
300,000 15
 
0.2%
5,000 15
 
0.2%
100,000 13
 
0.1%
50,000 13
 
0.1%
500,000 13
 
0.1%
Other values (86) 175
 
1.8%
2023-12-12T09:05:19.806436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11205
91.4%
, 448
 
3.7%
1 147
 
1.2%
3 113
 
0.9%
5 111
 
0.9%
2 92
 
0.8%
7 36
 
0.3%
8 35
 
0.3%
4 31
 
0.3%
6 26
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11814
96.3%
Other Punctuation 448
 
3.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11205
94.8%
1 147
 
1.2%
3 113
 
1.0%
5 111
 
0.9%
2 92
 
0.8%
7 36
 
0.3%
8 35
 
0.3%
4 31
 
0.3%
6 26
 
0.2%
9 18
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 448
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12262
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11205
91.4%
, 448
 
3.7%
1 147
 
1.2%
3 113
 
0.9%
5 111
 
0.9%
2 92
 
0.8%
7 36
 
0.3%
8 35
 
0.3%
4 31
 
0.3%
6 26
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12262
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11205
91.4%
, 448
 
3.7%
1 147
 
1.2%
3 113
 
0.9%
5 111
 
0.9%
2 92
 
0.8%
7 36
 
0.3%
8 35
 
0.3%
4 31
 
0.3%
6 26
 
0.2%

급식비
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9966 
<NA>
 
25
120,000
 
2
100,000
 
2
70,000
 
2
Other values (3)
 
3

Length

Max length7
Median length1
Mean length1.0124
Min length1

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9966
99.7%
<NA> 25
 
0.2%
120,000 2
 
< 0.1%
100,000 2
 
< 0.1%
70,000 2
 
< 0.1%
20,000 1
 
< 0.1%
77,000 1
 
< 0.1%
30,000 1
 
< 0.1%

Length

2023-12-12T09:05:19.933069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:05:20.053148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9966
99.7%
na 25
 
0.2%
120,000 2
 
< 0.1%
100,000 2
 
< 0.1%
70,000 2
 
< 0.1%
20,000 1
 
< 0.1%
77,000 1
 
< 0.1%
30,000 1
 
< 0.1%

기숙사비
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9975 
<NA>
 
25

Length

Max length4
Median length1
Mean length1.0075
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9975
99.8%
<NA> 25
 
0.2%

Length

2023-12-12T09:05:20.220786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:05:20.315938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9975
99.8%
na 25
 
0.2%

차량비
Categorical

IMBALANCE 

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9836 
20,000
 
49
30,000
 
29
<NA>
 
25
10,000
 
20
Other values (9)
 
41

Length

Max length6
Median length1
Mean length1.0762
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9836
98.4%
20,000 49
 
0.5%
30,000 29
 
0.3%
<NA> 25
 
0.2%
10,000 20
 
0.2%
15,000 11
 
0.1%
32,000 8
 
0.1%
5,000 5
 
0.1%
13,600 5
 
0.1%
12,000 3
 
< 0.1%
Other values (4) 9
 
0.1%

Length

2023-12-12T09:05:20.405791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 9836
98.4%
20,000 49
 
0.5%
30,000 29
 
0.3%
na 25
 
0.2%
10,000 20
 
0.2%
15,000 11
 
0.1%
32,000 8
 
0.1%
5,000 5
 
< 0.1%
13,600 5
 
< 0.1%
12,000 3
 
< 0.1%
Other values (4) 9
 
0.1%

피복비
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9601 
<NA>
 
390
50,000
 
3
52,000
 
2
200,000
 
2
Other values (2)
 
2

Length

Max length7
Median length1
Mean length1.1214
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9601
96.0%
<NA> 390
 
3.9%
50,000 3
 
< 0.1%
52,000 2
 
< 0.1%
200,000 2
 
< 0.1%
48 1
 
< 0.1%
309,000 1
 
< 0.1%

Length

2023-12-12T09:05:20.549303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:05:20.676703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9601
96.0%
na 390
 
3.9%
50,000 3
 
< 0.1%
52,000 2
 
< 0.1%
200,000 2
 
< 0.1%
48 1
 
< 0.1%
309,000 1
 
< 0.1%

기타경비합계
Text

Distinct106
Distinct (%)1.1%
Missing25
Missing (%)0.2%
Memory size156.2 KiB
2023-12-12T09:05:20.928802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length1
Mean length1.313584
Min length1

Characters and Unicode

Total characters13103
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

Unique57 ?
Unique (%)0.6%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 9383
94.1%
30,000 100
 
1.0%
10,000 80
 
0.8%
20,000 69
 
0.7%
15,000 26
 
0.3%
5,000 22
 
0.2%
50,000 20
 
0.2%
40,000 19
 
0.2%
100,000 16
 
0.2%
300,000 15
 
0.2%
Other values (96) 225
 
2.3%
2023-12-12T09:05:21.385874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11661
89.0%
, 616
 
4.7%
1 196
 
1.5%
2 152
 
1.2%
3 151
 
1.2%
5 141
 
1.1%
4 48
 
0.4%
7 43
 
0.3%
6 39
 
0.3%
8 37
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12487
95.3%
Other Punctuation 616
 
4.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11661
93.4%
1 196
 
1.6%
2 152
 
1.2%
3 151
 
1.2%
5 141
 
1.1%
4 48
 
0.4%
7 43
 
0.3%
6 39
 
0.3%
8 37
 
0.3%
9 19
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 616
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13103
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11661
89.0%
, 616
 
4.7%
1 196
 
1.5%
2 152
 
1.2%
3 151
 
1.2%
5 141
 
1.1%
4 48
 
0.4%
7 43
 
0.3%
6 39
 
0.3%
8 37
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13103
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11661
89.0%
, 616
 
4.7%
1 196
 
1.5%
2 152
 
1.2%
3 151
 
1.2%
5 141
 
1.1%
4 48
 
0.4%
7 43
 
0.3%
6 39
 
0.3%
8 37
 
0.3%

총교습비
Text

Distinct418
Distinct (%)4.2%
Missing25
Missing (%)0.2%
Memory size156.2 KiB
2023-12-12T09:05:21.796952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length6.8638596
Min length1

Characters and Unicode

Total characters68467
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

Unique187 ?
Unique (%)1.9%

Sample

1st row150,000
2nd row120,000
3rd row140,000
4th row80,000
5th row115,000
ValueCountFrequency (%)
150,000 825
 
8.3%
200,000 770
 
7.7%
120,000 581
 
5.8%
250,000 557
 
5.6%
130,000 475
 
4.8%
100,000 438
 
4.4%
180,000 419
 
4.2%
140,000 360
 
3.6%
300,000 355
 
3.6%
160,000 343
 
3.4%
Other values (408) 4852
48.6%
2023-12-12T09:05:22.373208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 40442
59.1%
, 10078
 
14.7%
1 5150
 
7.5%
2 3685
 
5.4%
5 2548
 
3.7%
3 2114
 
3.1%
4 1064
 
1.6%
8 1011
 
1.5%
6 955
 
1.4%
7 859
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 58389
85.3%
Other Punctuation 10078
 
14.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 40442
69.3%
1 5150
 
8.8%
2 3685
 
6.3%
5 2548
 
4.4%
3 2114
 
3.6%
4 1064
 
1.8%
8 1011
 
1.7%
6 955
 
1.6%
7 859
 
1.5%
9 561
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 10078
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 68467
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 40442
59.1%
, 10078
 
14.7%
1 5150
 
7.5%
2 3685
 
5.4%
5 2548
 
3.7%
3 2114
 
3.1%
4 1064
 
1.6%
8 1011
 
1.5%
6 955
 
1.4%
7 859
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 68467
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 40442
59.1%
, 10078
 
14.7%
1 5150
 
7.5%
2 3685
 
5.4%
5 2548
 
3.7%
3 2114
 
3.1%
4 1064
 
1.6%
8 1011
 
1.5%
6 955
 
1.4%
7 859
 
1.3%

총교습비(시간당)
Text

Distinct1260
Distinct (%)12.6%
Missing25
Missing (%)0.2%
Memory size156.2 KiB
2023-12-12T09:05:22.715052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length5
Mean length5.2066165
Min length1

Characters and Unicode

Total characters51936
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

Unique621 ?
Unique (%)6.2%

Sample

1st row8,571
2nd row6,857
3rd row8,000
4th row12,698
5th row5,750
ValueCountFrequency (%)
9,524 614
 
6.2%
7,143 467
 
4.7%
8,571 383
 
3.8%
11,905 346
 
3.5%
7,937 264
 
2.6%
8,929 216
 
2.2%
8,333 186
 
1.9%
7,619 186
 
1.9%
5,714 184
 
1.8%
10,714 169
 
1.7%
Other values (1250) 6960
69.8%
2023-12-12T09:05:23.459786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 9750
18.8%
1 6221
12.0%
0 6075
11.7%
9 4673
9.0%
7 4451
8.6%
5 4152
8.0%
8 3738
 
7.2%
4 3375
 
6.5%
2 3277
 
6.3%
3 3269
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 42186
81.2%
Other Punctuation 9750
 
18.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6221
14.7%
0 6075
14.4%
9 4673
11.1%
7 4451
10.6%
5 4152
9.8%
8 3738
8.9%
4 3375
8.0%
2 3277
7.8%
3 3269
7.7%
6 2955
7.0%
Other Punctuation
ValueCountFrequency (%)
, 9750
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 51936
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
, 9750
18.8%
1 6221
12.0%
0 6075
11.7%
9 4673
9.0%
7 4451
8.6%
5 4152
8.0%
8 3738
 
7.2%
4 3375
 
6.5%
2 3277
 
6.3%
3 3269
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 51936
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 9750
18.8%
1 6221
12.0%
0 6075
11.7%
9 4673
9.0%
7 4451
8.6%
5 4152
8.0%
8 3738
 
7.2%
4 3375
 
6.5%
2 3277
 
6.3%
3 3269
 
6.3%

강사수
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1289
Minimum0
Maximum41
Zeros326
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T09:05:23.586071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q34
95-th percentile8
Maximum41
Range41
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.7535974
Coefficient of variation (CV)1.199654
Kurtosis46.532821
Mean3.1289
Median Absolute Deviation (MAD)1
Skewness5.6128716
Sum31289
Variance14.089494
MonotonicityNot monotonic
2023-12-12T09:05:23.683312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 2966
29.7%
2 2524
25.2%
3 1389
13.9%
4 908
 
9.1%
5 613
 
6.1%
6 463
 
4.6%
0 326
 
3.3%
7 249
 
2.5%
9 145
 
1.5%
8 116
 
1.2%
Other values (12) 301
 
3.0%
ValueCountFrequency (%)
0 326
 
3.3%
1 2966
29.7%
2 2524
25.2%
3 1389
13.9%
4 908
 
9.1%
5 613
 
6.1%
6 463
 
4.6%
7 249
 
2.5%
8 116
 
1.2%
9 145
 
1.5%
ValueCountFrequency (%)
41 43
0.4%
23 11
 
0.1%
21 22
0.2%
20 33
0.3%
18 17
 
0.2%
16 36
0.4%
15 8
 
0.1%
14 16
 
0.2%
13 11
 
0.1%
12 47
0.5%

Sample

학원명학원종류분야구분학원주소등록상태설립자-성명전화번호일시수용능력인원정원합계교습계열교습과정교습과목(반)정원교습기간총교습시간(분)교습비교습비(시간당)모의고사비재료비급식비기숙사비차량비피복비기타경비합계총교습비총교습비(시간당)강사수
2909한우리독서토론논술학원학교교과교습학원입시.검정 및 보습강원도 동해시 한섬로 36 (천곡동,아태기술단)개원선흥임033-533-469648100보통교과입시?논술중등독서논술(영어)101개월 0일1,050150,0008,5710000000150,0008,5712
10723GNB영어대성학원학교교과교습학원입시.검정 및 보습강원도 철원군 갈말읍 명성로149번길 1 (갈말읍)개원김명훈033-452-05226557보통교과보습중고수학151개월 0일1,050120,0006,8570000000120,0006,8572
4660잉글리쉬무무양양학습관학원학교교과교습학원입시.검정 및 보습강원도 양양군 양양읍 양양로 60-1 , 2층, 3층 (양양읍)개원백명옥033-672-672168120보통교과입시초등수학기본101개월 0일1,050140,0008,0000000000140,0008,0002
9920초석대입전문학원학교교과교습학원입시.검정 및 보습강원도 원주시 서원대로 410 , 303,304호 (단구동, 한솔프라자)개원주식회사 초석대입전문학원033-766-8773145306보통교과입시고등영어181개월 0일37880,00012,698000000080,00012,6988
6485잉글리쉬무무서원주제1학원학교교과교습학원국제화강원도 원주시 남원로469번길 25-39 (명륜동)개원김연주033-765-059916040외국어실용외국어(유아/초?중?고)영어101개월 21일1,200115,0005,7500000000115,0005,7502
12145길입시학원학교교과교습학원입시.검정 및 보습강원도 춘천시 후석로 298 , 3층 (후평동)개원길홍균<NA>60144보통교과입시고등수학240개월 17일2,016400,00011,9050000000400,00011,9051
3323소리샘피아노학원학교교과교습학원예능(대)강원도 동해시 청운2길 17-2 , 101호 (쇄운동, 제일서점)개원곽미숙033-522-21133090예능(중)음악피아노 중급301개월 0일1,050120,0006,8570000000120,0006,8572
6906전기형수학학원학교교과교습학원입시.검정 및 보습강원도 원주시 치악로 1776 (개운동)개원전기형033-764-98733535보통교과입시초등수학101개월 0일1,134170,0008,9950000000170,0008,9951
1535공감국어논술학원학교교과교습학원입시.검정 및 보습강원도 강릉시 경강로 2166 , 3층 (옥천동)개원홍준호033-6526-54369300보통교과입시?논술고등국어801개월 0일1,134230,00012,1690000000230,00012,1692
53하나피아노학원학교교과교습학원예능(대)강원도 강릉시 솔올로 89 , 1층 (교동)개원서진주033-641-633710130예능(중)음악피아노고급101개월 0일1,260170,0008,0950000000170,0008,0952
학원명학원종류분야구분학원주소등록상태설립자-성명전화번호일시수용능력인원정원합계교습계열교습과정교습과목(반)정원교습기간총교습시간(분)교습비교습비(시간당)모의고사비재료비급식비기숙사비차량비피복비기타경비합계총교습비총교습비(시간당)강사수
920비타M수학과학학원학교교과교습학원입시.검정 및 보습강원도 강릉시 성덕로 320 , 2층 (입암동)개원김길영<NA>5360보통교과보습과학(주)기본B51개월 0일69350,0004,329000000050,0004,3291
6517이안삼성영어학원학교교과교습학원국제화강원도 원주시 모란1길 47 (단계동,단계 이안아파트)개원손명환033-900-555117239외국어실용외국어(유아/초?중?고)초등영어131개월 21일1,200170,0008,5000000000170,0008,5002
909비타M수학과학학원학교교과교습학원입시.검정 및 보습강원도 강릉시 성덕로 320 , 2층 (입암동)개원김길영<NA>5360보통교과보습과학(초)기본301개월 0일1,155150,0007,7920000000150,0007,7921
3236행복한그림쟁이미술학원학교교과교습학원예능(대)강원도 동해시 청운2길 17-7 (쇄운동)개원권진영033-522-555345350,075예능(중)미술입시(주2회)101개월 0일756140,00011,1110000000140,00011,1112
1653강릉,춤+1학원학교교과교습학원예능(대)강원도 강릉시 임영로 164 , 2층 (임당동)개원김의정<NA>1050예능(중)무용현대무용입시101개월 0일756150,00011,9050000000150,00011,9051
2719아트필미술학원학교교과교습학원예능(대)강원도 강릉시 솔올로 66 , 3층 (교동)개원최희선033-652-921220100예능(중)미술미술(고급2)151개월 0일1,260150,0007,1430000000150,0007,1432
12242배움터학원학교교과교습학원입시.검정 및 보습강원도 춘천시 터미널길14번길 18-2 , 2층 (온의동)개원송보배070-4143-486160105보통교과입시고등영어101개월 0일1,260250,00011,9050000000250,00011,9054
3262엠학원학교교과교습학원입시.검정 및 보습강원도 동해시 천곡로 14 , 4층 (천곡동)개원김윤숙외 1명033-535-820940200보통교과보습고등2과목201개월 0일1,512300,00011,9050000000300,00011,9052
13418오엠수학학원학교교과교습학원입시.검정 및 보습강원도 춘천시 후석로186번길 10 , 3층 (석사동)개원이학규<NA>60120보통교과보습초등수학C100개월 0일1,134180,0009,5240000000180,0009,5241
4836에이스학원학교교과교습학원입시.검정 및 보습강원도 양양군 양양읍 남문10길 7 (양양읍)개원박수환<NA>9920보통교과보습초등전과목201개월 0일1,512150,0005,9520000000150,0005,9521

Duplicate rows

Most frequently occurring

학원명학원종류분야구분학원주소등록상태설립자-성명전화번호일시수용능력인원정원합계교습계열교습과정교습과목(반)정원교습기간총교습시간(분)교습비교습비(시간당)모의고사비재료비급식비기숙사비차량비피복비기타경비합계총교습비총교습비(시간당)강사수# duplicates
4시삽컴퓨터회계학원평생직업교육학원종합(대)강원도 원주시 평원로 21 (중앙동)개원신진희033-761-830060190<NA><NA>삭제00개월 0일00000000000045
0보스턴영어학원학교교과교습학원입시.검정 및 보습강원도 원주시 능라동길 3 , 303호 (무실동)개원김일환<NA>6063보통교과보습중등영어71개월 0일1,512250,0009,921000015,000015,000265,00010,51642
1북클럽스터디센터무실학원학교교과교습학원입시.검정 및 보습강원도 원주시 만대로 170-1 , 2층. 3층 (무실동)개원(주)웅진씽크빅033-747-742620395보통교과입시영어151개월 21일25235,0008,333000000035,0008,33352
2비전학원학교교과교습학원입시.검정 및 보습강원도 원주시 시청로 80 , 803호 (무실동, 쎈터프라자)개원이상봉<NA>70425보통교과보습고등영어수학과학251개월 0일1,386300,00012,9870000000300,00012,98712
3비전학원학교교과교습학원입시.검정 및 보습강원도 원주시 시청로 80 , 803호 (무실동, 쎈터프라자)개원이상봉<NA>70425보통교과보습중등과학251개월 0일588100,00010,2040000000100,00010,20412
5쎈수학러닝센터홍제드림학원학교교과교습학원입시.검정 및 보습강원도 강릉시 토성로 88-1 , 2층 (홍제동)개원강수임<NA>20200보통교과보습수학초등401개월 0일1,260180,0008,5710000000180,0008,57112
6쎈수학지앤비기업섬강학원학교교과교습학원입시.검정 및 보습강원도 원주시 지정면 가곡로 50-1 , 2층 (지정면)개원김선경<NA>84290보통교과보습중등수학301개월 0일1,260220,00010,4760000000220,00010,47632
7쎈수학지앤비기업섬강학원학교교과교습학원입시.검정 및 보습강원도 원주시 지정면 가곡로 50-1 , 2층 (지정면)개원김선경<NA>84290보통교과보습중등영어301개월 0일1,260220,00010,4760000000220,00010,47632
8예뜰미술학원학교교과교습학원예능(대)강원도 원주시 단구로 414 , 203호 (단구동, 청솔4차아파트)개원박은정033-7482-2794180예능(중)미술미술201개월 0일714120,00010,0840000000120,00010,08422
9입시전문상록학원학교교과교습학원입시.검정 및 보습강원도 원주시 남원로534번길 20 , 1515-4 미소빌딩2층 (단구동)자진휴원(소)이상록033-765-037520210보통교과입시국어(고등)151개월 0일504100,00011,90500000<NA>0100,00011,90502