Overview

Dataset statistics

Number of variables21
Number of observations10000
Missing cells16647
Missing cells (%)7.9%
Duplicate rows6
Duplicate rows (%)0.1%
Total size in memory1.8 MiB
Average record size in memory185.0 B

Variable types

Text10
Categorical3
Numeric8

Dataset

Description전라북도교육청 14개 시군 학원 현황 데이터로 학원명, 학원종류, 학원주소, 설립자, 교습계열, 교습과정, 교습비 등을 제공합니다.
Author전라북도
URLhttps://www.bigdatahub.go.kr/index.jeonbuk?startPage=2&menuCd=DOM_000000103007001000&pListTypeStr=&pId=15053372

Alerts

Dataset has 6 (0.1%) duplicate rowsDuplicates
학원종류 is highly imbalanced (72.1%)Imbalance
피복비 is highly imbalanced (51.5%)Imbalance
전화번호 has 2783 (27.8%) missing valuesMissing
교습과정 has 134 (1.3%) missing valuesMissing
모의고사비 has 2238 (22.4%) missing valuesMissing
재료비 has 2176 (21.8%) missing valuesMissing
급식비 has 2424 (24.2%) missing valuesMissing
기숙사비 has 2244 (22.4%) missing valuesMissing
차량비 has 2374 (23.7%) missing valuesMissing
기타경비합계 has 2123 (21.2%) missing valuesMissing
정원 is highly skewed (γ1 = 31.18312409)Skewed
급식비 is highly skewed (γ1 = 25.41598655)Skewed
차량비 is highly skewed (γ1 = 29.70981079)Skewed
모의고사비 has 7713 (77.1%) zerosZeros
재료비 has 7584 (75.8%) zerosZeros
급식비 has 7556 (75.6%) zerosZeros
기숙사비 has 7692 (76.9%) zerosZeros
차량비 has 7558 (75.6%) zerosZeros
기타경비합계 has 7485 (74.9%) zerosZeros
강사수 has 236 (2.4%) zerosZeros

Reproduction

Analysis started2024-03-14 02:11:58.221857
Analysis finished2024-03-14 02:11:59.643169
Duration1.42 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학원명
Text

Distinct3241
Distinct (%)32.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-14T11:11:59.767617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length26
Mean length8.8082
Min length3

Characters and Unicode

Total characters88082
Distinct characters726
Distinct categories11 ?
Distinct scripts5 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique942 ?
Unique (%)9.4%

Sample

1st row그린섬미술학원
2nd row군산명성요리제과제빵학원
3rd row눈높이러닝센터수성학원
4th row채움영어수학학원
5th row브레인뮤직아트 전북직영점 아뮤톡톡음악학원
ValueCountFrequency (%)
눈높이러닝센터영등학원 35
 
0.3%
등용문컴퓨터회계학원 32
 
0.3%
눈높이러닝센터부송학원 32
 
0.3%
이젠컴퓨터아트서비스학원 31
 
0.3%
등용문아카데미회계컴퓨터아트학원 31
 
0.3%
진평생직업교육학원 29
 
0.3%
눈높이러닝센터학원 29
 
0.3%
눈높이러닝센터수성학원 28
 
0.3%
그린컴퓨터아트학원 27
 
0.3%
전주동양컴퓨터학원 27
 
0.3%
Other values (3299) 9920
97.1%
2024-03-14T11:12:00.090361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 11877
 
13.5%
원 10086
 
11.5%
수 2070
 
2.4%
이 2057
 
2.3%
어 2039
 
2.3%
스 1808
 
2.1%
영 1767
 
2.0%
아 1710
 
1.9%
전 1631
 
1.9%
음 1415
 
1.6%
Other values (716) 51622
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 83805
95.1%
Uppercase Letter 2250
 
2.6%
Lowercase Letter 814
 
0.9%
Close Punctuation 288
 
0.3%
Open Punctuation 288
 
0.3%
Space Separator 230
 
0.3%
Other Punctuation 188
 
0.2%
Decimal Number 169
 
0.2%
Math Symbol 30
 
< 0.1%
Dash Punctuation 19
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 11877
 
14.2%
원 10086
 
12.0%
수 2070
 
2.5%
이 2057
 
2.5%
어 2039
 
2.4%
스 1808
 
2.2%
영 1767
 
2.1%
아 1710
 
2.0%
전 1631
 
1.9%
음 1415
 
1.7%
Other values (645) 47345
56.5%
Uppercase Letter
ValueCountFrequency (%)
M 232
 
10.3%
S 227
 
10.1%
E 217
 
9.6%
I 166
 
7.4%
A 151
 
6.7%
T 114
 
5.1%
P 113
 
5.0%
Y 109
 
4.8%
O 108
 
4.8%
B 105
 
4.7%
Other values (15) 708
31.5%
Lowercase Letter
ValueCountFrequency (%)
n 92
11.3%
s 79
9.7%
e 79
9.7%
i 77
9.5%
o 68
 
8.4%
a 61
 
7.5%
l 51
 
6.3%
t 44
 
5.4%
g 43
 
5.3%
r 36
 
4.4%
Other values (11) 184
22.6%
Other Punctuation
ValueCountFrequency (%)
& 63
33.5%
· 45
23.9%
. 44
23.4%
, 11
 
5.9%
' 7
 
3.7%
? 7
 
3.7%
: 4
 
2.1%
# 3
 
1.6%
! 3
 
1.6%
/ 1
 
0.5%
Decimal Number
ValueCountFrequency (%)
2 60
35.5%
1 57
33.7%
3 28
16.6%
7 5
 
3.0%
8 5
 
3.0%
4 4
 
2.4%
9 4
 
2.4%
6 4
 
2.4%
0 2
 
1.2%
Close Punctuation
ValueCountFrequency (%)
) 288
100.0%
Open Punctuation
ValueCountFrequency (%)
( 288
100.0%
Space Separator
ValueCountFrequency (%)
230
100.0%
Math Symbol
ValueCountFrequency (%)
+ 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Modifier Letter
ValueCountFrequency (%)
ː 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 83761
95.1%
Latin 3062
 
3.5%
Common 1213
 
1.4%
Han 44
 
< 0.1%
Greek 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 11877
 
14.2%
원 10086
 
12.0%
수 2070
 
2.5%
이 2057
 
2.5%
어 2039
 
2.4%
스 1808
 
2.2%
영 1767
 
2.1%
아 1710
 
2.0%
전 1631
 
1.9%
음 1415
 
1.7%
Other values (635) 47301
56.5%
Latin
ValueCountFrequency (%)
M 232
 
7.6%
S 227
 
7.4%
E 217
 
7.1%
I 166
 
5.4%
A 151
 
4.9%
T 114
 
3.7%
P 113
 
3.7%
Y 109
 
3.6%
O 108
 
3.5%
B 105
 
3.4%
Other values (35) 1520
49.6%
Common
ValueCountFrequency (%)
) 288
23.7%
( 288
23.7%
230
19.0%
& 63
 
5.2%
2 60
 
4.9%
1 57
 
4.7%
· 45
 
3.7%
. 44
 
3.6%
+ 30
 
2.5%
3 28
 
2.3%
Other values (15) 80
 
6.6%
Han
ValueCountFrequency (%)
知 14
31.8%
愛 11
25.0%
秀 5
 
11.4%
多 3
 
6.8%
巨 3
 
6.8%
人 3
 
6.8%
賢 2
 
4.5%
成 1
 
2.3%
志 1
 
2.3%
數 1
 
2.3%
Greek
ValueCountFrequency (%)
α 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 83755
95.1%
ASCII 4229
 
4.8%
None 47
 
0.1%
CJK 44
 
< 0.1%
Compat Jamo 6
 
< 0.1%
Modifier Letters 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 11877
 
14.2%
원 10086
 
12.0%
수 2070
 
2.5%
이 2057
 
2.5%
어 2039
 
2.4%
스 1808
 
2.2%
영 1767
 
2.1%
아 1710
 
2.0%
전 1631
 
1.9%
음 1415
 
1.7%
Other values (634) 47295
56.5%
ASCII
ValueCountFrequency (%)
) 288
 
6.8%
( 288
 
6.8%
M 232
 
5.5%
230
 
5.4%
S 227
 
5.4%
E 217
 
5.1%
I 166
 
3.9%
A 151
 
3.6%
T 114
 
2.7%
P 113
 
2.7%
Other values (58) 2203
52.1%
None
ValueCountFrequency (%)
· 45
95.7%
α 2
 
4.3%
CJK
ValueCountFrequency (%)
知 14
31.8%
愛 11
25.0%
秀 5
 
11.4%
多 3
 
6.8%
巨 3
 
6.8%
人 3
 
6.8%
賢 2
 
4.5%
成 1
 
2.3%
志 1
 
2.3%
數 1
 
2.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 6
100.0%
Modifier Letters
ValueCountFrequency (%)
ː 1
100.0%

학원종류
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
학교교과교습학원
8723 
평생직업교육학원
1271 
<NA>
 
4
입시.검정 및 보습
 
2

Length

Max length10
Median length8
Mean length7.9988
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
학교교과교습학원 8723
87.2%
평생직업교육학원 1271
 
12.7%
<NA> 4
 
< 0.1%
입시.검정 및 보습 2
 
< 0.1%

Length

2024-03-14T11:12:00.205087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:12:00.293587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학교교과교습학원 8723
87.2%
평생직업교육학원 1271
 
12.7%
na 4
 
< 0.1%
입시.검정 2
 
< 0.1%
및 2
 
< 0.1%
보습 2
 
< 0.1%

학원주소
Text

Distinct3311
Distinct (%)33.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-14T11:12:00.566434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length59
Mean length36.2554
Min length10

Characters and Unicode

Total characters362554
Distinct characters551
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique965 ?
Unique (%)9.7%

Sample

1st row전라북도 전주시 완산구 홍산로 263 , 7층 (효자동2가)
2nd row전라북도 군산시 대학로 195 , 3,4층 (문화동,무궁화빌딩)
3rd row전라북도 정읍시 수성3로 24 (수성동,제일아파트(단지전부))
4th row전라북도 전주시 덕진구 호성3길 12 , 401호 (호성동1가)
5th row전라북도 익산시 선화로73길 27 , 3층 일부 (부송동)
ValueCountFrequency (%)
전라북도 9980
 
12.3%
9000
 
11.1%
전주시 5700
 
7.0%
덕진구 2944
 
3.6%
완산구 2756
 
3.4%
2층 2576
 
3.2%
3층 1549
 
1.9%
익산시 1398
 
1.7%
군산시 1311
 
1.6%
4층 785
 
1.0%
Other values (3000) 43233
53.2%
2024-03-14T11:12:01.009468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
71502
 
19.7%
전 16448
 
4.5%
2 13207
 
3.6%
, 13085
 
3.6%
1 11205
 
3.1%
동 11191
 
3.1%
( 10910
 
3.0%
) 10905
 
3.0%
북 10234
 
2.8%
도 10223
 
2.8%
Other values (541) 183644
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 196963
54.3%
Space Separator 71502
 
19.7%
Decimal Number 56407
 
15.6%
Other Punctuation 13241
 
3.7%
Open Punctuation 10910
 
3.0%
Close Punctuation 10905
 
3.0%
Dash Punctuation 1941
 
0.5%
Uppercase Letter 508
 
0.1%
Lowercase Letter 96
 
< 0.1%
Math Symbol 76
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 16448
 
8.4%
동 11191
 
5.7%
북 10234
 
5.2%
도 10223
 
5.2%
라 10136
 
5.1%
시 9648
 
4.9%
로 8011
 
4.1%
산 7593
 
3.9%
층 6619
 
3.4%
주 6332
 
3.2%
Other values (485) 100528
51.0%
Uppercase Letter
ValueCountFrequency (%)
S 66
13.0%
A 53
 
10.4%
B 51
 
10.0%
K 43
 
8.5%
T 33
 
6.5%
Y 29
 
5.7%
E 28
 
5.5%
M 23
 
4.5%
C 23
 
4.5%
R 23
 
4.5%
Other values (12) 136
26.8%
Lowercase Letter
ValueCountFrequency (%)
e 32
33.3%
r 16
16.7%
o 10
 
10.4%
w 10
 
10.4%
s 6
 
6.2%
d 6
 
6.2%
a 6
 
6.2%
i 4
 
4.2%
k 3
 
3.1%
c 1
 
1.0%
Other values (2) 2
 
2.1%
Decimal Number
ValueCountFrequency (%)
2 13207
23.4%
1 11205
19.9%
3 7622
13.5%
0 7132
12.6%
4 5085
 
9.0%
5 3024
 
5.4%
6 2585
 
4.6%
7 2538
 
4.5%
9 2046
 
3.6%
8 1963
 
3.5%
Other Punctuation
ValueCountFrequency (%)
, 13085
98.8%
. 80
 
0.6%
@ 52
 
0.4%
/ 17
 
0.1%
· 6
 
< 0.1%
? 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
71502
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10910
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10905
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1941
100.0%
Math Symbol
ValueCountFrequency (%)
~ 76
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 196963
54.3%
Common 164987
45.5%
Latin 604
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 16448
 
8.4%
동 11191
 
5.7%
북 10234
 
5.2%
도 10223
 
5.2%
라 10136
 
5.1%
시 9648
 
4.9%
로 8011
 
4.1%
산 7593
 
3.9%
층 6619
 
3.4%
주 6332
 
3.2%
Other values (485) 100528
51.0%
Latin
ValueCountFrequency (%)
S 66
 
10.9%
A 53
 
8.8%
B 51
 
8.4%
K 43
 
7.1%
T 33
 
5.5%
e 32
 
5.3%
Y 29
 
4.8%
E 28
 
4.6%
M 23
 
3.8%
C 23
 
3.8%
Other values (24) 223
36.9%
Common
ValueCountFrequency (%)
71502
43.3%
2 13207
 
8.0%
, 13085
 
7.9%
1 11205
 
6.8%
( 10910
 
6.6%
) 10905
 
6.6%
3 7622
 
4.6%
0 7132
 
4.3%
4 5085
 
3.1%
5 3024
 
1.8%
Other values (12) 11310
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 196960
54.3%
ASCII 165580
45.7%
None 6
 
< 0.1%
CJK Compat 5
 
< 0.1%
Compat Jamo 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
71502
43.2%
2 13207
 
8.0%
, 13085
 
7.9%
1 11205
 
6.8%
( 10910
 
6.6%
) 10905
 
6.6%
3 7622
 
4.6%
0 7132
 
4.3%
4 5085
 
3.1%
5 3024
 
1.8%
Other values (44) 11903
 
7.2%
Hangul
ValueCountFrequency (%)
전 16448
 
8.4%
동 11191
 
5.7%
북 10234
 
5.2%
도 10223
 
5.2%
라 10136
 
5.1%
시 9648
 
4.9%
로 8011
 
4.1%
산 7593
 
3.9%
층 6619
 
3.4%
주 6332
 
3.2%
Other values (484) 100525
51.0%
None
ValueCountFrequency (%)
· 6
100.0%
CJK Compat
ValueCountFrequency (%)
㎡ 5
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 3
100.0%

설립자-성명
Text

Distinct2839
Distinct (%)28.4%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2024-03-14T11:12:01.265408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length3
Mean length3.6445645
Min length2

Characters and Unicode

Total characters36442
Distinct characters369
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

Unique758 ?
Unique (%)7.6%

Sample

1st row이환배
2nd row정은희
3rd row(주)대교
4th row이윤경,이은경
5th row김혜진
ValueCountFrequency (%)
주)대교 416
 
4.0%
주식회사 294
 
2.8%
웅진씽크빅 140
 
1.4%
주)대교-박명규 54
 
0.5%
조완순 52
 
0.5%
이환배 40
 
0.4%
안창기 32
 
0.3%
강경일,우선정 31
 
0.3%
유한회사 31
 
0.3%
에이알에이잉글리시 31
 
0.3%
Other values (2840) 9217
89.2%
2024-03-14T11:12:01.667236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 1961
 
5.4%
이 1526
 
4.2%
주 1292
 
3.5%
정 1214
 
3.3%
영 1120
 
3.1%
진 817
 
2.2%
박 802
 
2.2%
희 756
 
2.1%
경 714
 
2.0%
은 713
 
2.0%
Other values (359) 25527
70.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34189
93.8%
Close Punctuation 649
 
1.8%
Open Punctuation 645
 
1.8%
Other Punctuation 364
 
1.0%
Space Separator 362
 
1.0%
Lowercase Letter 114
 
0.3%
Uppercase Letter 65
 
0.2%
Dash Punctuation 54
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 1961
 
5.7%
이 1526
 
4.5%
주 1292
 
3.8%
정 1214
 
3.6%
영 1120
 
3.3%
진 817
 
2.4%
박 802
 
2.3%
희 756
 
2.2%
경 714
 
2.1%
은 713
 
2.1%
Other values (325) 23274
68.1%
Uppercase Letter
ValueCountFrequency (%)
R 8
12.3%
D 8
12.3%
N 7
10.8%
E 6
9.2%
C 6
9.2%
L 4
 
6.2%
G 4
 
6.2%
A 4
 
6.2%
U 3
 
4.6%
O 3
 
4.6%
Other values (8) 12
18.5%
Lowercase Letter
ValueCountFrequency (%)
r 18
15.8%
e 18
15.8%
o 18
15.8%
t 12
10.5%
h 12
10.5%
p 6
 
5.3%
i 6
 
5.3%
y 6
 
5.3%
b 6
 
5.3%
l 6
 
5.3%
Close Punctuation
ValueCountFrequency (%)
) 649
100.0%
Open Punctuation
ValueCountFrequency (%)
( 645
100.0%
Other Punctuation
ValueCountFrequency (%)
, 364
100.0%
Space Separator
ValueCountFrequency (%)
362
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34189
93.8%
Common 2074
 
5.7%
Latin 179
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 1961
 
5.7%
이 1526
 
4.5%
주 1292
 
3.8%
정 1214
 
3.6%
영 1120
 
3.3%
진 817
 
2.4%
박 802
 
2.3%
희 756
 
2.2%
경 714
 
2.1%
은 713
 
2.1%
Other values (325) 23274
68.1%
Latin
ValueCountFrequency (%)
r 18
 
10.1%
e 18
 
10.1%
o 18
 
10.1%
t 12
 
6.7%
h 12
 
6.7%
R 8
 
4.5%
D 8
 
4.5%
N 7
 
3.9%
E 6
 
3.4%
p 6
 
3.4%
Other values (19) 66
36.9%
Common
ValueCountFrequency (%)
) 649
31.3%
( 645
31.1%
, 364
17.6%
362
17.5%
- 54
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34189
93.8%
ASCII 2253
 
6.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 1961
 
5.7%
이 1526
 
4.5%
주 1292
 
3.8%
정 1214
 
3.6%
영 1120
 
3.3%
진 817
 
2.4%
박 802
 
2.3%
희 756
 
2.2%
경 714
 
2.1%
은 713
 
2.1%
Other values (325) 23274
68.1%
ASCII
ValueCountFrequency (%)
) 649
28.8%
( 645
28.6%
, 364
16.2%
362
16.1%
- 54
 
2.4%
r 18
 
0.8%
e 18
 
0.8%
o 18
 
0.8%
t 12
 
0.5%
h 12
 
0.5%
Other values (24) 101
 
4.5%

전화번호
Text

MISSING 

Distinct2286
Distinct (%)31.7%
Missing2783
Missing (%)27.8%
Memory size156.2 KiB
2024-03-14T11:12:01.944105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.011085
Min length11

Characters and Unicode

Total characters86684
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique643 ?
Unique (%)8.9%

Sample

1st row063-288-7003
2nd row063-467-3890
3rd row063-538-9509
4th row063-242-2588
5th row063-226-9109
ValueCountFrequency (%)
063-835-9109 35
 
0.5%
063-835-9509 32
 
0.4%
063-285-8181 32
 
0.4%
063-285-9191 31
 
0.4%
063-276-2381 31
 
0.4%
063-536-9509 29
 
0.4%
063-538-9509 28
 
0.4%
063-271-5505 27
 
0.4%
063-252-8814 27
 
0.4%
063-232-2111 27
 
0.4%
Other values (2276) 6918
95.9%
2024-03-14T11:12:02.290436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 14434
16.7%
0 12441
14.4%
3 11909
13.7%
6 11048
12.7%
2 9151
10.6%
5 6000
6.9%
8 4664
 
5.4%
4 4426
 
5.1%
7 4382
 
5.1%
1 4365
 
5.0%
Other values (2) 3864
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 72247
83.3%
Dash Punctuation 14434
 
16.7%
Space Separator 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12441
17.2%
3 11909
16.5%
6 11048
15.3%
2 9151
12.7%
5 6000
8.3%
8 4664
 
6.5%
4 4426
 
6.1%
7 4382
 
6.1%
1 4365
 
6.0%
9 3861
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 14434
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 86684
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 14434
16.7%
0 12441
14.4%
3 11909
13.7%
6 11048
12.7%
2 9151
10.6%
5 6000
6.9%
8 4664
 
5.4%
4 4426
 
5.1%
7 4382
 
5.1%
1 4365
 
5.0%
Other values (2) 3864
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 86684
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 14434
16.7%
0 12441
14.4%
3 11909
13.7%
6 11048
12.7%
2 9151
10.6%
5 6000
6.9%
8 4664
 
5.4%
4 4426
 
5.1%
7 4382
 
5.1%
1 4365
 
5.0%
Other values (2) 3864
 
4.5%

교습계열
Categorical

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
보통교과
5047 
예능(중)
2435 
외국어
899 
컴퓨터
 
397
산업응용기술
 
347
Other values (15)
875 

Length

Max length7
Median length4
Mean length4.2426
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보통교과 5047
50.5%
예능(중) 2435
24.3%
외국어 899
 
9.0%
컴퓨터 397
 
4.0%
산업응용기술 347
 
3.5%
기예(중) 235
 
2.4%
<NA> 128
 
1.3%
기타(중) 126
 
1.3%
독서실 90
 
0.9%
산업기반기술 81
 
0.8%
Other values (10) 215
 
2.1%

Length

2024-03-14T11:12:02.415911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
보통교과 5047
50.5%
예능(중 2435
24.3%
외국어 899
 
9.0%
컴퓨터 397
 
4.0%
산업응용기술 347
 
3.5%
기예(중 235
 
2.4%
na 128
 
1.3%
기타(중 126
 
1.3%
독서실 90
 
0.9%
산업기반기술 81
 
0.8%
Other values (10) 215
 
2.1%

교습과정
Text

MISSING 

Distinct64
Distinct (%)0.6%
Missing134
Missing (%)1.3%
Memory size156.2 KiB
2024-03-14T11:12:02.545000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length2
Mean length4.6557876
Min length2

Characters and Unicode

Total characters45934
Distinct characters124
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

Unique7 ?
Unique (%)0.1%

Sample

1st row미술
2nd row식음료품(바리스타,소믈리에)
3rd row보습
4th row보습
5th row음악
ValueCountFrequency (%)
보습 3471
35.2%
음악 1759
17.8%
입시 1411
14.3%
실용외국어(유아/초·중·고 895
 
9.1%
미술 553
 
5.6%
컴퓨터(정보처리,통신기기,인터넷,소프트웨어 391
 
4.0%
이·미용 187
 
1.9%
무용 129
 
1.3%
보습·논술 123
 
1.2%
식음료품(바리스타,소믈리에 119
 
1.2%
Other values (54) 828
 
8.4%
2024-03-14T11:12:02.881262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
보 3996
 
8.7%
습 3594
 
7.8%
· 2298
 
5.0%
음 1936
 
4.2%
악 1883
 
4.1%
( 1819
 
4.0%
) 1819
 
4.0%
, 1471
 
3.2%
시 1452
 
3.2%
입 1435
 
3.1%
Other values (114) 24231
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37545
81.7%
Other Punctuation 4751
 
10.3%
Open Punctuation 1819
 
4.0%
Close Punctuation 1819
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 3996
 
10.6%
습 3594
 
9.6%
음 1936
 
5.2%
악 1883
 
5.0%
시 1452
 
3.9%
입 1435
 
3.8%
어 1344
 
3.6%
용 1320
 
3.5%
실 1088
 
2.9%
기 1052
 
2.8%
Other values (109) 18445
49.1%
Other Punctuation
ValueCountFrequency (%)
· 2298
48.4%
, 1471
31.0%
/ 982
20.7%
Open Punctuation
ValueCountFrequency (%)
( 1819
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1819
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37545
81.7%
Common 8389
 
18.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 3996
 
10.6%
습 3594
 
9.6%
음 1936
 
5.2%
악 1883
 
5.0%
시 1452
 
3.9%
입 1435
 
3.8%
어 1344
 
3.6%
용 1320
 
3.5%
실 1088
 
2.9%
기 1052
 
2.8%
Other values (109) 18445
49.1%
Common
ValueCountFrequency (%)
· 2298
27.4%
( 1819
21.7%
) 1819
21.7%
, 1471
17.5%
/ 982
11.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37545
81.7%
ASCII 6091
 
13.3%
None 2298
 
5.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
보 3996
 
10.6%
습 3594
 
9.6%
음 1936
 
5.2%
악 1883
 
5.0%
시 1452
 
3.9%
입 1435
 
3.8%
어 1344
 
3.6%
용 1320
 
3.5%
실 1088
 
2.9%
기 1052
 
2.8%
Other values (109) 18445
49.1%
None
ValueCountFrequency (%)
· 2298
100.0%
ASCII
ValueCountFrequency (%)
( 1819
29.9%
) 1819
29.9%
, 1471
24.2%
/ 982
16.1%

교습과목(반)
Text

Distinct5561
Distinct (%)55.8%
Missing30
Missing (%)0.3%
Memory size156.2 KiB
2024-03-14T11:12:03.165434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length7.1828485
Min length1

Characters and Unicode

Total characters71613
Distinct characters609
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4619 ?
Unique (%)46.3%

Sample

1st row입시(중등)취미반
2nd row바리스타
3rd row스쿨수학(초등)
4th row고등수학
5th row피아노(주3일)
ValueCountFrequency (%)
중등수학 186
 
1.7%
초등수학 163
 
1.5%
중등영어 141
 
1.3%
고등수학 140
 
1.3%
초등영어 126
 
1.1%
고등영어 112
 
1.0%
피아노 98
 
0.9%
수학(초 95
 
0.9%
수학 92
 
0.8%
수학(고 92
 
0.8%
Other values (5460) 9819
88.7%
2024-03-14T11:12:03.531819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 4958
 
6.9%
( 4949
 
6.9%
등 4288
 
6.0%
초 3752
 
5.2%
중 2811
 
3.9%
학 2802
 
3.9%
어 2787
 
3.9%
고 2407
 
3.4%
수 2327
 
3.2%
영 2179
 
3.0%
Other values (599) 38353
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 51887
72.5%
Close Punctuation 4986
 
7.0%
Open Punctuation 4977
 
6.9%
Decimal Number 3005
 
4.2%
Uppercase Letter 2614
 
3.7%
Other Punctuation 1979
 
2.8%
Space Separator 1106
 
1.5%
Lowercase Letter 505
 
0.7%
Dash Punctuation 338
 
0.5%
Math Symbol 122
 
0.2%
Other values (3) 94
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
등 4288
 
8.3%
초 3752
 
7.2%
중 2811
 
5.4%
학 2802
 
5.4%
어 2787
 
5.4%
고 2407
 
4.6%
수 2327
 
4.5%
영 2179
 
4.2%
급 1723
 
3.3%
국 1179
 
2.3%
Other values (516) 25632
49.4%
Uppercase Letter
ValueCountFrequency (%)
A 690
26.4%
B 572
21.9%
C 336
12.9%
D 141
 
5.4%
E 117
 
4.5%
T 97
 
3.7%
S 80
 
3.1%
I 75
 
2.9%
P 72
 
2.8%
G 58
 
2.2%
Other values (15) 376
14.4%
Lowercase Letter
ValueCountFrequency (%)
e 65
12.9%
n 54
 
10.7%
o 42
 
8.3%
i 40
 
7.9%
r 38
 
7.5%
a 30
 
5.9%
c 29
 
5.7%
t 26
 
5.1%
p 23
 
4.6%
s 22
 
4.4%
Other values (14) 136
26.9%
Decimal Number
ValueCountFrequency (%)
1 758
25.2%
3 605
20.1%
2 592
19.7%
0 503
16.7%
4 235
 
7.8%
5 180
 
6.0%
6 76
 
2.5%
7 23
 
0.8%
8 22
 
0.7%
9 11
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 1659
83.8%
. 203
 
10.3%
/ 70
 
3.5%
; 19
 
1.0%
& 11
 
0.6%
: 7
 
0.4%
* 7
 
0.4%
# 3
 
0.2%
Letter Number
ValueCountFrequency (%)
Ⅱ 39
52.0%
Ⅰ 20
26.7%
Ⅲ 6
 
8.0%
Ⅴ 5
 
6.7%
Ⅳ 4
 
5.3%
Ⅵ 1
 
1.3%
Close Punctuation
ValueCountFrequency (%)
) 4958
99.4%
] 28
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 4949
99.4%
[ 28
 
0.6%
Math Symbol
ValueCountFrequency (%)
~ 64
52.5%
+ 58
47.5%
Space Separator
ValueCountFrequency (%)
1106
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 338
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 17
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 51887
72.5%
Common 16532
 
23.1%
Latin 3194
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
등 4288
 
8.3%
초 3752
 
7.2%
중 2811
 
5.4%
학 2802
 
5.4%
어 2787
 
5.4%
고 2407
 
4.6%
수 2327
 
4.5%
영 2179
 
4.2%
급 1723
 
3.3%
국 1179
 
2.3%
Other values (516) 25632
49.4%
Latin
ValueCountFrequency (%)
A 690
21.6%
B 572
17.9%
C 336
 
10.5%
D 141
 
4.4%
E 117
 
3.7%
T 97
 
3.0%
S 80
 
2.5%
I 75
 
2.3%
P 72
 
2.3%
e 65
 
2.0%
Other values (45) 949
29.7%
Common
ValueCountFrequency (%)
) 4958
30.0%
( 4949
29.9%
, 1659
 
10.0%
1106
 
6.7%
1 758
 
4.6%
3 605
 
3.7%
2 592
 
3.6%
0 503
 
3.0%
- 338
 
2.0%
4 235
 
1.4%
Other values (18) 829
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 51887
72.5%
ASCII 19651
 
27.4%
Number Forms 75
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 4958
25.2%
( 4949
25.2%
, 1659
 
8.4%
1106
 
5.6%
1 758
 
3.9%
A 690
 
3.5%
3 605
 
3.1%
2 592
 
3.0%
B 572
 
2.9%
0 503
 
2.6%
Other values (67) 3259
16.6%
Hangul
ValueCountFrequency (%)
등 4288
 
8.3%
초 3752
 
7.2%
중 2811
 
5.4%
학 2802
 
5.4%
어 2787
 
5.4%
고 2407
 
4.6%
수 2327
 
4.5%
영 2179
 
4.2%
급 1723
 
3.3%
국 1179
 
2.3%
Other values (516) 25632
49.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 39
52.0%
Ⅰ 20
26.7%
Ⅲ 6
 
8.0%
Ⅴ 5
 
6.7%
Ⅳ 4
 
5.3%
Ⅵ 1
 
1.3%

정원
Real number (ℝ)

SKEWED 

Distinct136
Distinct (%)1.4%
Missing30
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean22.892678
Minimum0
Maximum3000
Zeros20
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T11:12:03.712926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q110
median15
Q323
95-th percentile56
Maximum3000
Range3000
Interquartile range (IQR)13

Descriptive statistics

Standard deviation88.449091
Coefficient of variation (CV)3.8636411
Kurtosis1035.201
Mean22.892678
Median Absolute Deviation (MAD)5
Skewness31.183124
Sum228240
Variance7823.2418
MonotonicityNot monotonic
2024-03-14T11:12:03.926121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 1606
16.1%
15 1224
 
12.2%
20 960
 
9.6%
8 742
 
7.4%
12 537
 
5.4%
30 491
 
4.9%
6 398
 
4.0%
5 340
 
3.4%
9 265
 
2.6%
40 217
 
2.2%
Other values (126) 3190
31.9%
ValueCountFrequency (%)
0 20
 
0.2%
1 85
 
0.9%
2 37
 
0.4%
3 61
 
0.6%
4 118
 
1.2%
5 340
3.4%
6 398
4.0%
7 166
 
1.7%
8 742
7.4%
9 265
 
2.6%
ValueCountFrequency (%)
3000 8
0.1%
1300 1
 
< 0.1%
1200 1
 
< 0.1%
323 1
 
< 0.1%
210 1
 
< 0.1%
200 3
 
< 0.1%
182 9
0.1%
180 2
 
< 0.1%
175 1
 
< 0.1%
174 1
 
< 0.1%

교습기간
Text

Distinct52
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-14T11:12:04.121360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0582
Min length5

Characters and Unicode

Total characters50582
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

Unique17 ?
Unique (%)0.2%

Sample

1st row1개월0일
2nd row1개월0일
3rd row1개월0일
4th row1개월0일
5th row1개월0일
ValueCountFrequency (%)
1개월0일 9022
89.9%
1개월20일 358
 
3.6%
0개월0일 119
 
1.2%
2개월0일 85
 
0.8%
3개월0일 44
 
0.4%
0개월1일 41
 
0.4%
1개월 40
 
0.4%
0일 40
 
0.4%
0개월19일 38
 
0.4%
1개월5일 32
 
0.3%
Other values (43) 221
 
2.2%
2024-03-14T11:12:04.379335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10058
19.9%
개 10000
19.8%
월 10000
19.8%
일 10000
19.8%
1 9713
19.2%
2 519
 
1.0%
3 72
 
0.1%
5 49
 
0.1%
40
 
0.1%
9 40
 
0.1%
Other values (4) 91
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30000
59.3%
Decimal Number 20542
40.6%
Space Separator 40
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10058
49.0%
1 9713
47.3%
2 519
 
2.5%
3 72
 
0.4%
5 49
 
0.2%
9 40
 
0.2%
6 37
 
0.2%
4 35
 
0.2%
8 17
 
0.1%
7 2
 
< 0.1%
Other Letter
ValueCountFrequency (%)
개 10000
33.3%
월 10000
33.3%
일 10000
33.3%
Space Separator
ValueCountFrequency (%)
40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30000
59.3%
Common 20582
40.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10058
48.9%
1 9713
47.2%
2 519
 
2.5%
3 72
 
0.3%
5 49
 
0.2%
40
 
0.2%
9 40
 
0.2%
6 37
 
0.2%
4 35
 
0.2%
8 17
 
0.1%
Hangul
ValueCountFrequency (%)
개 10000
33.3%
월 10000
33.3%
일 10000
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30000
59.3%
ASCII 20582
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10058
48.9%
1 9713
47.2%
2 519
 
2.5%
3 72
 
0.3%
5 49
 
0.2%
40
 
0.2%
9 40
 
0.2%
6 37
 
0.2%
4 35
 
0.2%
8 17
 
0.1%
Hangul
ValueCountFrequency (%)
개 10000
33.3%
월 10000
33.3%
일 10000
33.3%

총교습시간(분)
Text

Distinct575
Distinct (%)5.8%
Missing30
Missing (%)0.3%
Memory size156.2 KiB
2024-03-14T11:12:04.936454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.7252758
Min length1

Characters and Unicode

Total characters37141
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

Unique231 ?
Unique (%)2.3%

Sample

1st row3600
2nd row2160
3rd row280
4th row1104
5th row864
ValueCountFrequency (%)
1200 1539
 
15.4%
1000 631
 
6.3%
1440 450
 
4.5%
720 358
 
3.6%
1800 351
 
3.5%
1400 308
 
3.1%
960 282
 
2.8%
1600 242
 
2.4%
800 223
 
2.2%
2400 206
 
2.1%
Other values (565) 5380
54.0%
2024-03-14T11:12:05.368405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 15593
42.0%
1 6844
18.4%
2 4539
 
12.2%
4 2733
 
7.4%
8 1957
 
5.3%
6 1815
 
4.9%
3 1065
 
2.9%
5 1020
 
2.7%
9 774
 
2.1%
7 764
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 37104
99.9%
Other Punctuation 37
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 15593
42.0%
1 6844
18.4%
2 4539
 
12.2%
4 2733
 
7.4%
8 1957
 
5.3%
6 1815
 
4.9%
3 1065
 
2.9%
5 1020
 
2.7%
9 774
 
2.1%
7 764
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 37141
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 15593
42.0%
1 6844
18.4%
2 4539
 
12.2%
4 2733
 
7.4%
8 1957
 
5.3%
6 1815
 
4.9%
3 1065
 
2.9%
5 1020
 
2.7%
9 774
 
2.1%
7 764
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37141
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 15593
42.0%
1 6844
18.4%
2 4539
 
12.2%
4 2733
 
7.4%
8 1957
 
5.3%
6 1815
 
4.9%
3 1065
 
2.9%
5 1020
 
2.7%
9 774
 
2.1%
7 764
 
2.1%

교습비
Text

Distinct551
Distinct (%)5.5%
Missing30
Missing (%)0.3%
Memory size156.2 KiB
2024-03-14T11:12:05.674287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.8929789
Min length1

Characters and Unicode

Total characters58753
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

Unique283 ?
Unique (%)2.8%

Sample

1st row350000
2nd row216000
3rd row40000
4th row250000
5th row120000
ValueCountFrequency (%)
200000 834
 
8.4%
150000 760
 
7.6%
250000 693
 
7.0%
300000 572
 
5.7%
180000 404
 
4.1%
140000 363
 
3.6%
130000 356
 
3.6%
160000 353
 
3.5%
120000 331
 
3.3%
100000 320
 
3.2%
Other values (541) 4984
50.0%
2024-03-14T11:12:06.109418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 40797
69.4%
1 4395
 
7.5%
2 3746
 
6.4%
5 2841
 
4.8%
3 2249
 
3.8%
4 1458
 
2.5%
8 1010
 
1.7%
6 1004
 
1.7%
7 819
 
1.4%
9 423
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 58742
> 99.9%
Other Punctuation 11
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 40797
69.5%
1 4395
 
7.5%
2 3746
 
6.4%
5 2841
 
4.8%
3 2249
 
3.8%
4 1458
 
2.5%
8 1010
 
1.7%
6 1004
 
1.7%
7 819
 
1.4%
9 423
 
0.7%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 58753
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 40797
69.4%
1 4395
 
7.5%
2 3746
 
6.4%
5 2841
 
4.8%
3 2249
 
3.8%
4 1458
 
2.5%
8 1010
 
1.7%
6 1004
 
1.7%
7 819
 
1.4%
9 423
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 58753
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 40797
69.4%
1 4395
 
7.5%
2 3746
 
6.4%
5 2841
 
4.8%
3 2249
 
3.8%
4 1458
 
2.5%
8 1010
 
1.7%
6 1004
 
1.7%
7 819
 
1.4%
9 423
 
0.7%

모의고사비
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)0.2%
Missing2238
Missing (%)22.4%
Infinite0
Infinite (%)0.0%
Mean97.938676
Minimum0
Maximum30000
Zeros7713
Zeros (%)77.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T11:12:06.297585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum30000
Range30000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1409.7744
Coefficient of variation (CV)14.394461
Kurtosis298.49067
Mean97.938676
Median Absolute Deviation (MAD)0
Skewness16.610869
Sum760200
Variance1987463.9
MonotonicityNot monotonic
2024-03-14T11:12:06.414148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 7713
77.1%
20000 13
 
0.1%
10000 10
 
0.1%
30000 8
 
0.1%
8000 5
 
0.1%
15000 4
 
< 0.1%
4000 2
 
< 0.1%
5000 2
 
< 0.1%
3000 1
 
< 0.1%
2000 1
 
< 0.1%
Other values (3) 3
 
< 0.1%
(Missing) 2238
 
22.4%
ValueCountFrequency (%)
0 7713
77.1%
1600 1
 
< 0.1%
2000 1
 
< 0.1%
3000 1
 
< 0.1%
4000 2
 
< 0.1%
5000 2
 
< 0.1%
8000 5
 
0.1%
9200 1
 
< 0.1%
10000 10
 
0.1%
15000 4
 
< 0.1%
ValueCountFrequency (%)
30000 8
0.1%
26400 1
 
< 0.1%
20000 13
0.1%
15000 4
 
< 0.1%
10000 10
0.1%
9200 1
 
< 0.1%
8000 5
 
0.1%
5000 2
 
< 0.1%
4000 2
 
< 0.1%
3000 1
 
< 0.1%

재료비
Real number (ℝ)

MISSING  ZEROS 

Distinct85
Distinct (%)1.1%
Missing2176
Missing (%)21.8%
Infinite0
Infinite (%)0.0%
Mean11813.97
Minimum0
Maximum3000000
Zeros7584
Zeros (%)75.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T11:12:06.524448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3000000
Range3000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation125764.47
Coefficient of variation (CV)10.645403
Kurtosis283.04299
Mean11813.97
Median Absolute Deviation (MAD)0
Skewness15.360704
Sum92432500
Variance1.5816701 × 1010
MonotonicityNot monotonic
2024-03-14T11:12:06.638050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7584
75.8%
20000 25
 
0.2%
30000 21
 
0.2%
10000 20
 
0.2%
50000 13
 
0.1%
25000 9
 
0.1%
1000000 8
 
0.1%
500000 8
 
0.1%
800000 7
 
0.1%
600000 7
 
0.1%
Other values (75) 122
 
1.2%
(Missing) 2176
 
21.8%
ValueCountFrequency (%)
0 7584
75.8%
400 1
 
< 0.1%
2000 2
 
< 0.1%
4000 1
 
< 0.1%
5000 4
 
< 0.1%
9500 1
 
< 0.1%
10000 20
 
0.2%
13200 2
 
< 0.1%
14000 1
 
< 0.1%
20000 25
 
0.2%
ValueCountFrequency (%)
3000000 4
< 0.1%
2600000 1
 
< 0.1%
2500000 2
< 0.1%
2100000 1
 
< 0.1%
1850000 1
 
< 0.1%
1800000 2
< 0.1%
1600000 1
 
< 0.1%
1550000 1
 
< 0.1%
1500000 2
< 0.1%
1490000 2
< 0.1%

급식비
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct8
Distinct (%)0.1%
Missing2424
Missing (%)24.2%
Infinite0
Infinite (%)0.0%
Mean232.44456
Minimum0
Maximum180000
Zeros7556
Zeros (%)75.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T11:12:06.743082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum180000
Range180000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5610.006
Coefficient of variation (CV)24.134813
Kurtosis664.71796
Mean232.44456
Median Absolute Deviation (MAD)0
Skewness25.415987
Sum1761000
Variance31472167
MonotonicityNot monotonic
2024-03-14T11:12:06.846973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 7556
75.6%
130000 7
 
0.1%
5000 6
 
0.1%
180000 2
 
< 0.1%
120000 2
 
< 0.1%
150000 1
 
< 0.1%
65000 1
 
< 0.1%
6000 1
 
< 0.1%
(Missing) 2424
 
24.2%
ValueCountFrequency (%)
0 7556
75.6%
5000 6
 
0.1%
6000 1
 
< 0.1%
65000 1
 
< 0.1%
120000 2
 
< 0.1%
130000 7
 
0.1%
150000 1
 
< 0.1%
180000 2
 
< 0.1%
ValueCountFrequency (%)
180000 2
 
< 0.1%
150000 1
 
< 0.1%
130000 7
 
0.1%
120000 2
 
< 0.1%
65000 1
 
< 0.1%
6000 1
 
< 0.1%
5000 6
 
0.1%
0 7556
75.6%

기숙사비
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)0.2%
Missing2244
Missing (%)22.4%
Infinite0
Infinite (%)0.0%
Mean350.9541
Minimum0
Maximum140000
Zeros7692
Zeros (%)76.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T11:12:06.933502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum140000
Range140000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4702.0676
Coefficient of variation (CV)13.397956
Kurtosis383.47412
Mean350.9541
Median Absolute Deviation (MAD)0
Skewness17.908342
Sum2722000
Variance22109439
MonotonicityNot monotonic
2024-03-14T11:12:07.044525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 7692
76.9%
20000 21
 
0.2%
30000 9
 
0.1%
50000 7
 
0.1%
62000 4
 
< 0.1%
100000 4
 
< 0.1%
40000 4
 
< 0.1%
65000 3
 
< 0.1%
24000 2
 
< 0.1%
80000 2
 
< 0.1%
Other values (5) 8
 
0.1%
(Missing) 2244
 
22.4%
ValueCountFrequency (%)
0 7692
76.9%
10000 2
 
< 0.1%
15000 2
 
< 0.1%
20000 21
 
0.2%
24000 2
 
< 0.1%
30000 9
 
0.1%
40000 4
 
< 0.1%
50000 7
 
0.1%
60000 1
 
< 0.1%
62000 4
 
< 0.1%
ValueCountFrequency (%)
140000 2
 
< 0.1%
100000 4
< 0.1%
81000 1
 
< 0.1%
80000 2
 
< 0.1%
65000 3
 
< 0.1%
62000 4
< 0.1%
60000 1
 
< 0.1%
50000 7
0.1%
40000 4
< 0.1%
30000 9
0.1%

차량비
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct13
Distinct (%)0.2%
Missing2374
Missing (%)23.7%
Infinite0
Infinite (%)0.0%
Mean369.78757
Minimum0
Maximum230000
Zeros7558
Zeros (%)75.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T11:12:07.132421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum230000
Range230000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7109.3307
Coefficient of variation (CV)19.225445
Kurtosis937.05828
Mean369.78757
Median Absolute Deviation (MAD)0
Skewness29.709811
Sum2820000
Variance50542583
MonotonicityNot monotonic
2024-03-14T11:12:07.212512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 7558
75.6%
20000 44
 
0.4%
10000 7
 
0.1%
230000 6
 
0.1%
40000 2
 
< 0.1%
50000 2
 
< 0.1%
18000 1
 
< 0.1%
200000 1
 
< 0.1%
15000 1
 
< 0.1%
24000 1
 
< 0.1%
Other values (3) 3
 
< 0.1%
(Missing) 2374
 
23.7%
ValueCountFrequency (%)
0 7558
75.6%
6000 1
 
< 0.1%
10000 7
 
0.1%
12000 1
 
< 0.1%
15000 1
 
< 0.1%
18000 1
 
< 0.1%
20000 44
 
0.4%
24000 1
 
< 0.1%
35000 1
 
< 0.1%
40000 2
 
< 0.1%
ValueCountFrequency (%)
230000 6
 
0.1%
200000 1
 
< 0.1%
50000 2
 
< 0.1%
40000 2
 
< 0.1%
35000 1
 
< 0.1%
24000 1
 
< 0.1%
20000 44
0.4%
18000 1
 
< 0.1%
15000 1
 
< 0.1%
12000 1
 
< 0.1%

피복비
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
7756 
<NA>
2243 
450000
 
1

Length

Max length6
Median length1
Mean length1.6734
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7756
77.6%
<NA> 2243
 
22.4%
450000 1
 
< 0.1%

Length

2024-03-14T11:12:07.311779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:12:07.401065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 7756
77.6%
na 2243
 
22.4%
450000 1
 
< 0.1%

기타경비합계
Real number (ℝ)

MISSING  ZEROS 

Distinct105
Distinct (%)1.3%
Missing2123
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean12820.73
Minimum0
Maximum3000000
Zeros7485
Zeros (%)74.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T11:12:07.489844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3000000
Range3000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation126207.98
Coefficient of variation (CV)9.8440556
Kurtosis276.77978
Mean12820.73
Median Absolute Deviation (MAD)0
Skewness15.112252
Sum1.0098889 × 108
Variance1.5928454 × 1010
MonotonicityNot monotonic
2024-03-14T11:12:07.612251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7485
74.9%
20000 80
 
0.8%
10000 31
 
0.3%
30000 27
 
0.3%
50000 20
 
0.2%
40000 12
 
0.1%
5000 10
 
0.1%
25000 9
 
0.1%
500000 8
 
0.1%
1000000 8
 
0.1%
Other values (95) 187
 
1.9%
(Missing) 2123
 
21.2%
ValueCountFrequency (%)
0 7485
74.9%
400 1
 
< 0.1%
1600 1
 
< 0.1%
2000 2
 
< 0.1%
3000 1
 
< 0.1%
4000 3
 
< 0.1%
5000 10
 
0.1%
6000 1
 
< 0.1%
8000 5
 
0.1%
9200 1
 
< 0.1%
ValueCountFrequency (%)
3000000 4
< 0.1%
2600000 1
 
< 0.1%
2500000 2
< 0.1%
2100000 1
 
< 0.1%
1850000 1
 
< 0.1%
1800000 2
< 0.1%
1600000 1
 
< 0.1%
1550000 1
 
< 0.1%
1500000 2
< 0.1%
1490000 2
< 0.1%

총교습비
Text

Distinct576
Distinct (%)5.8%
Missing30
Missing (%)0.3%
Memory size156.2 KiB
2024-03-14T11:12:07.902178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.9005015
Min length1

Characters and Unicode

Total characters58828
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

Unique300 ?
Unique (%)3.0%

Sample

1st row350000
2nd row350000
3rd row40000
4th row250000
5th row120000
ValueCountFrequency (%)
200000 833
 
8.4%
150000 755
 
7.6%
250000 685
 
6.9%
300000 564
 
5.7%
180000 400
 
4.0%
140000 367
 
3.7%
160000 358
 
3.6%
130000 347
 
3.5%
120000 323
 
3.2%
170000 321
 
3.2%
Other values (566) 5017
50.3%
2024-03-14T11:12:08.325426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 40797
69.3%
1 4395
 
7.5%
2 3758
 
6.4%
5 2855
 
4.9%
3 2267
 
3.9%
4 1455
 
2.5%
6 1012
 
1.7%
8 1007
 
1.7%
7 828
 
1.4%
9 443
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 58817
> 99.9%
Other Punctuation 11
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 40797
69.4%
1 4395
 
7.5%
2 3758
 
6.4%
5 2855
 
4.9%
3 2267
 
3.9%
4 1455
 
2.5%
6 1012
 
1.7%
8 1007
 
1.7%
7 828
 
1.4%
9 443
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 58828
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 40797
69.3%
1 4395
 
7.5%
2 3758
 
6.4%
5 2855
 
4.9%
3 2267
 
3.9%
4 1455
 
2.5%
6 1012
 
1.7%
8 1007
 
1.7%
7 828
 
1.4%
9 443
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 58828
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 40797
69.3%
1 4395
 
7.5%
2 3758
 
6.4%
5 2855
 
4.9%
3 2267
 
3.9%
4 1455
 
2.5%
6 1012
 
1.7%
8 1007
 
1.7%
7 828
 
1.4%
9 443
 
0.8%

강사수
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1263
Minimum0
Maximum41
Zeros236
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T11:12:08.480232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q34
95-th percentile9
Maximum41
Range41
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.3891735
Coefficient of variation (CV)1.0840845
Kurtosis25.75098
Mean3.1263
Median Absolute Deviation (MAD)1
Skewness3.8588644
Sum31263
Variance11.486497
MonotonicityNot monotonic
2024-03-14T11:12:08.605293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 3496
35.0%
2 2114
21.1%
3 1283
 
12.8%
4 902
 
9.0%
5 611
 
6.1%
6 398
 
4.0%
0 236
 
2.4%
7 231
 
2.3%
8 176
 
1.8%
9 122
 
1.2%
Other values (15) 431
 
4.3%
ValueCountFrequency (%)
0 236
 
2.4%
1 3496
35.0%
2 2114
21.1%
3 1283
 
12.8%
4 902
 
9.0%
5 611
 
6.1%
6 398
 
4.0%
7 231
 
2.3%
8 176
 
1.8%
9 122
 
1.2%
ValueCountFrequency (%)
41 12
 
0.1%
29 4
 
< 0.1%
24 14
0.1%
23 4
 
< 0.1%
21 1
 
< 0.1%
20 34
0.3%
18 11
 
0.1%
17 28
0.3%
16 16
0.2%
15 25
0.2%

Sample

학원명학원종류학원주소설립자-성명전화번호교습계열교습과정교습과목(반)정원교습기간총교습시간(분)교습비모의고사비재료비급식비기숙사비차량비피복비기타경비합계총교습비강사수
5748그린섬미술학원학교교과교습학원전라북도 전주시 완산구 홍산로 263 , 7층 (효자동2가)이환배063-288-7003예능(중)미술입시(중등)취미반1821개월0일360035000000000003500005
16733군산명성요리제과제빵학원평생직업교육학원전라북도 군산시 대학로 195 , 3,4층 (문화동,무궁화빌딩)정은희063-467-3890산업응용기술식음료품(바리스타,소믈리에)바리스타241개월0일2160216000<NA>134000<NA><NA><NA><NA>13400035000012
23315눈높이러닝센터수성학원학교교과교습학원전라북도 정읍시 수성3로 24 (수성동,제일아파트(단지전부))(주)대교063-538-9509보통교과보습스쿨수학(초등)81개월0일28040000<NA><NA><NA><NA><NA><NA><NA>400004
5232채움영어수학학원학교교과교습학원전라북도 전주시 덕진구 호성3길 12 , 401호 (호성동1가)이윤경,이은경063-242-2588보통교과보습고등수학201개월0일110425000000000002500001
22328브레인뮤직아트 전북직영점 아뮤톡톡음악학원학교교과교습학원전라북도 익산시 선화로73길 27 , 3층 일부 (부송동)김혜진<NA>예능(중)음악피아노(주3일)601개월0일86412000000000001200003
11187송천그린섬미술학원학교교과교습학원전라북도 전주시 덕진구 천마산로 68 , 3층 301호 (송천동1가)이환배<NA>예능(중)미술여름특강입시(고2)351개월0일360047000000000004700003
6614눈높이러닝센터혁신학원학교교과교습학원전라북도 전주시 덕진구 오공로 43-22 , 5층 501호 (중동)(주)대교063-226-9109보통교과보습사회역사151개월0일210350000000000350007
7702김앤장과학전문학원학교교과교습학원전라북도 전주시 덕진구 오송1길 31 , 204호 (송천동1가)윤장호<NA>보통교과보습과학B(중)681개월0일120020000000000002000001
10287윰음악학원학교교과교습학원전라북도 전주시 완산구 온고을로 119-1 , 113동 2층일부 (서신동, 신일아파트)진재희<NA>예능(중)음악초등입시(중급)111개월0일76817000000000001700002
20000엠퍼스트수학전문학원학교교과교습학원전라북도 익산시 고현로7길 6 , 4층일부 401호 (모현동1가)현지례063-858-3234보통교과입시중1,2수학과정501개월0일127029000000000002900005
학원명학원종류학원주소설립자-성명전화번호교습계열교습과정교습과목(반)정원교습기간총교습시간(분)교습비모의고사비재료비급식비기숙사비차량비피복비기타경비합계총교습비강사수
14226올림수학학원학교교과교습학원전라북도 전주시 덕진구 세병로 174-11 , 4층 일부 (송천동2가)박재성<NA>보통교과입시중등영어C81개월0일234043000000000004300002
24874월넛쥬니어스쿨(WalnutJr.School)학원학교교과교습학원전라북도 김제시 금성8길 45-10 , 1층 (신풍동)이광우063-547-4814외국어실용외국어(유아/초·중·고)성인영어회화151개월0일1000020000000<NA>0<NA>002000004
19580아이캔학원학교교과교습학원전라북도 익산시 번영로8길 223 , 202호, 301호, 302호 (평화동, 평화동제일아파트)강수현063-853-7757보통교과보습중등1종합(국어,영어,수학)131개월0일312041000000000004100004
14683나다영어전문학원학교교과교습학원전라북도 전주시 완산구 중화산로 120 , 301-1호 (중화산동2가)정주<NA>보통교과입시고등영어121개월0일166538000000000003800000
9995전주동양컴퓨터학원평생직업교육학원전라북도 전주시 완산구 서원로 2 , 402호 (효자동3가)조완순063-252-8814컴퓨터컴퓨터(정보처리,통신기기,인터넷,소프트웨어)컬러리스트자격증201개월20일100025000000000002500009
16142Vivaldi뮤직스토리학원학교교과교습학원전라북도 군산시 수송동로 36 , 상가동 202호 (수송동,한라비발디1단지아파트)백미라063-445-8279예능(중)음악피아노초급(2)161개월0일1200110000<NA><NA><NA><NA><NA><NA><NA>1100002
7691세라컴퓨터·코딩학원평생직업교육학원전라북도 전주시 덕진구 견훤로 376-1 , 2층 (우아동3가)송경순063-241-1126컴퓨터컴퓨터(정보처리,통신기기,인터넷,소프트웨어)워드프로세서실기+컴퓨터활용능력2급실기(국비)101개월0일72037970000000003797003
21874드럼앤뮤직실용음악학원학교교과교습학원전라북도 익산시 무왕로25길 13 , 2층 (부송동)김영진063-832-0691예능(중)음악보컬161개월0일120015000000000001500001
2658여울음악학원학교교과교습학원전라북도 전주시 완산구 고사평8길 18 , (2층일부) (서신동)안소명063-277-7743예능(중)음악피아노 중급2(체르니30단계)101개월0일140016000000000001600002
15247공터영어에코포레나센터학원학교교과교습학원전라북도 전주시 덕진구 세병로 18 401호(송천동2가)공미희,안숙영<NA><NA><NA>초등(외)431개월0일320800000000000800003

Duplicate rows

Most frequently occurring

학원명학원종류학원주소설립자-성명전화번호교습계열교습과정교습과목(반)정원교습기간총교습시간(분)교습비모의고사비재료비급식비기숙사비차량비피복비기타경비합계총교습비강사수# duplicates
0JnK(제이앤케이)영어전문학원학교교과교습학원전라북도 전주시 덕진구 가련산로 17 , 3층 302호 (덕진동2가)조성용063-276-7942외국어실용외국어(유아/초·중·고)고등(내국인)2561개월0일1440300000000000030000042
1민준영어수학전문학원학교교과교습학원전라북도 전주시 완산구 효자천변2길 7 , 701호 (효자동1가, 굿모닝빌딩)장홍규063-226-7875보통교과보습한자51개월0일1440200000000000020000032
2배쌤과학학원학교교과교습학원전라북도 전주시 덕진구 오공로 43-17 , 301호 일부 (중동)배주희<NA>보통교과입시고등지구과학1371개월0일1264300000000000030000012
3배쌤과학학원학교교과교습학원전라북도 전주시 덕진구 오공로 43-17 , 301호 일부 (중동)배주희<NA>보통교과입시고등화학1371개월0일1264300000000000030000012
4배우리학원학교교과교습학원전라북도 부안군 부안읍 오리정로 84-1 , 2층 (부안읍)신미영063-583-6509보통교과보습초등종합일반151개월20일1800160000<NA><NA><NA><NA><NA><NA><NA>16000022
5잉글리쉬무무송천보습학원학교교과교습학원전라북도 전주시 덕진구 오송1길 19 , 301호 (송천동1가)박인권063-255-9905보통교과보습중등영어(문법)941개월0일1200125000000000012500032