Overview

Dataset statistics

Number of variables21
Number of observations10000
Missing cells10152
Missing cells (%)4.8%
Duplicate rows22
Duplicate rows (%)0.2%
Total size in memory1.7 MiB
Average record size in memory177.0 B

Variable types

Text13
Categorical7
Numeric1

Dataset

Description대구광역시교육청 학원 및 교습소 현황입니다- 대구광역시 학원명,주소, 설립자, 학원종류, 분야, 계열, 교습과목(반) 등- 관할 교육지원청 나이스에 등록된 학원 및 교습소 정보임
Author대구광역시교육청
URLhttps://www.data.go.kr/data/15016662/fileData.do

Alerts

Dataset has 22 (0.2%) duplicate rowsDuplicates
교습계열 is highly imbalanced (51.5%)Imbalance
재료비 is highly imbalanced (97.9%)Imbalance
급식비 is highly imbalanced (99.3%)Imbalance
차량비 is highly imbalanced (97.8%)Imbalance
피복비 is highly imbalanced (93.8%)Imbalance
전화번호 has 3321 (33.2%) missing valuesMissing
교습과정 has 536 (5.4%) missing valuesMissing
Unnamed: 20 has 6169 (61.7%) missing valuesMissing
Unnamed: 20 has 178 (1.8%) zerosZeros

Reproduction

Analysis started2024-03-14 19:28:33.612929
Analysis finished2024-03-14 19:28:37.363363
Duration3.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학원명
Text

Distinct3110
Distinct (%)31.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T04:28:38.008314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length8.9824
Min length3

Characters and Unicode

Total characters89824
Distinct characters721
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1090 ?
Unique (%)10.9%

Sample

1st row한양음악학원
2nd row강림뮤엠영어학원
3rd row성서일등독서실
4th row한국카페직업개발학원
5th row대구장기점와와학습코칭학원
ValueCountFrequency (%)
범어2셜대학원 103
 
1.0%
범어1셜대학원 82
 
0.8%
월성셜대학원 64
 
0.6%
정직한선생님들영어수학각산점학원 59
 
0.6%
학문당입시학원 48
 
0.5%
에스비에스(sbs)아카데미컴퓨터아트학원 47
 
0.5%
칠곡점와와학습코칭학원 42
 
0.4%
어썸팩토리대구상인독서실 39
 
0.4%
칠곡셜대학원 38
 
0.4%
율하점와와학습코칭학원 31
 
0.3%
Other values (3113) 9478
94.5%
2024-03-15T04:28:39.225731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 12135
 
13.5%
원 9984
 
11.1%
어 2533
 
2.8%
수 2198
 
2.4%
이 2026
 
2.3%
스 1931
 
2.1%
영 1475
 
1.6%
아 1398
 
1.6%
터 1234
 
1.4%
미 1120
 
1.2%
Other values (711) 53790
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 85196
94.8%
Uppercase Letter 2178
 
2.4%
Decimal Number 770
 
0.9%
Open Punctuation 492
 
0.5%
Close Punctuation 492
 
0.5%
Lowercase Letter 489
 
0.5%
Other Punctuation 137
 
0.2%
Space Separator 38
 
< 0.1%
Dash Punctuation 21
 
< 0.1%
Math Symbol 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 12135
 
14.2%
원 9984
 
11.7%
어 2533
 
3.0%
수 2198
 
2.6%
이 2026
 
2.4%
스 1931
 
2.3%
영 1475
 
1.7%
아 1398
 
1.6%
터 1234
 
1.4%
미 1120
 
1.3%
Other values (639) 49162
57.7%
Uppercase Letter
ValueCountFrequency (%)
S 344
15.8%
T 246
11.3%
E 205
 
9.4%
M 179
 
8.2%
B 166
 
7.6%
I 132
 
6.1%
K 97
 
4.5%
Y 82
 
3.8%
G 73
 
3.4%
J 73
 
3.4%
Other values (15) 581
26.7%
Lowercase Letter
ValueCountFrequency (%)
e 102
20.9%
n 67
13.7%
i 39
 
8.0%
h 37
 
7.6%
t 37
 
7.6%
o 29
 
5.9%
u 23
 
4.7%
r 22
 
4.5%
g 22
 
4.5%
a 21
 
4.3%
Other values (12) 90
18.4%
Other Punctuation
ValueCountFrequency (%)
& 55
40.1%
. 39
28.5%
· 19
 
13.9%
% 15
 
10.9%
, 3
 
2.2%
' 2
 
1.5%
＆ 1
 
0.7%
・ 1
 
0.7%
# 1
 
0.7%
/ 1
 
0.7%
Decimal Number
ValueCountFrequency (%)
2 277
36.0%
1 245
31.8%
3 133
17.3%
0 54
 
7.0%
8 27
 
3.5%
4 12
 
1.6%
7 9
 
1.2%
9 8
 
1.0%
5 5
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 492
100.0%
Close Punctuation
ValueCountFrequency (%)
) 492
100.0%
Space Separator
ValueCountFrequency (%)
38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Math Symbol
ValueCountFrequency (%)
+ 9
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 85186
94.8%
Latin 2669
 
3.0%
Common 1959
 
2.2%
Han 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 12135
 
14.2%
원 9984
 
11.7%
어 2533
 
3.0%
수 2198
 
2.6%
이 2026
 
2.4%
스 1931
 
2.3%
영 1475
 
1.7%
아 1398
 
1.6%
터 1234
 
1.4%
미 1120
 
1.3%
Other values (636) 49152
57.7%
Latin
ValueCountFrequency (%)
S 344
 
12.9%
T 246
 
9.2%
E 205
 
7.7%
M 179
 
6.7%
B 166
 
6.2%
I 132
 
4.9%
e 102
 
3.8%
K 97
 
3.6%
Y 82
 
3.1%
G 73
 
2.7%
Other values (38) 1043
39.1%
Common
ValueCountFrequency (%)
( 492
25.1%
) 492
25.1%
2 277
14.1%
1 245
12.5%
3 133
 
6.8%
& 55
 
2.8%
0 54
 
2.8%
. 39
 
2.0%
38
 
1.9%
8 27
 
1.4%
Other values (14) 107
 
5.5%
Han
ValueCountFrequency (%)
秀 6
60.0%
開 2
 
20.0%
目 2
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 85181
94.8%
ASCII 4605
 
5.1%
None 20
 
< 0.1%
CJK 10
 
< 0.1%
Compat Jamo 5
 
< 0.1%
Number Forms 2
 
< 0.1%
Katakana 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 12135
 
14.2%
원 9984
 
11.7%
어 2533
 
3.0%
수 2198
 
2.6%
이 2026
 
2.4%
스 1931
 
2.3%
영 1475
 
1.7%
아 1398
 
1.6%
터 1234
 
1.4%
미 1120
 
1.3%
Other values (635) 49147
57.7%
ASCII
ValueCountFrequency (%)
( 492
 
10.7%
) 492
 
10.7%
S 344
 
7.5%
2 277
 
6.0%
T 246
 
5.3%
1 245
 
5.3%
E 205
 
4.5%
M 179
 
3.9%
B 166
 
3.6%
3 133
 
2.9%
Other values (58) 1826
39.7%
None
ValueCountFrequency (%)
· 19
95.0%
＆ 1
 
5.0%
CJK
ValueCountFrequency (%)
秀 6
60.0%
開 2
 
20.0%
目 2
 
20.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 5
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
Katakana
ValueCountFrequency (%)
・ 1
100.0%

학원종류
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
학교교과교습학원
8659 
평생직업교육학원
1341 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
학교교과교습학원 8659
86.6%
평생직업교육학원 1341
 
13.4%

Length

2024-03-15T04:28:39.635951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:28:39.945977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학교교과교습학원 8659
86.6%
평생직업교육학원 1341
 
13.4%

분야구분
Categorical

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
입시.검정 및 보습
5864 
예능(대)
1379 
직업기술
695 
국제화
652 
종합(대)
627 
Other values (4)
783 

Length

Max length10
Median length10
Mean length7.6697
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
입시.검정 및 보습 5864
58.6%
예능(대) 1379
 
13.8%
직업기술 695
 
7.0%
국제화 652
 
6.5%
종합(대) 627
 
6.3%
독서실 386
 
3.9%
기타(대) 184
 
1.8%
기예(대) 139
 
1.4%
인문사회(대) 74
 
0.7%

Length

2024-03-15T04:28:40.456053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:28:40.889083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
입시.검정 5864
27.0%
및 5864
27.0%
보습 5864
27.0%
예능(대 1379
 
6.3%
직업기술 695
 
3.2%
국제화 652
 
3.0%
종합(대 627
 
2.9%
독서실 386
 
1.8%
기타(대 184
 
0.8%
기예(대 139
 
0.6%

학원주소
Text

Distinct3166
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T04:28:42.646510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length86
Median length64
Mean length33.474
Min length19

Characters and Unicode

Total characters334740
Distinct characters410
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1121 ?
Unique (%)11.2%

Sample

1st row대구광역시 달서구 월서로 31 , 2동 201호 (상인동, 상인역신일해피트리)
2nd row대구광역시 달성군 옥포면 돌미로 52 , 303호 (옥포면)
3rd row대구광역시 달서구 성서로 420 , 10층1001호 (이곡동)
4th row대구광역시 동구 아양로41길 55 , 2층 (신암동)
5th row대구광역시 달서구 장기로 252 , 209호, 210호 (장기동, 장기 협성휴포레)
ValueCountFrequency (%)
대구광역시 10000
 
13.4%
8576
 
11.5%
수성구 3075
 
4.1%
달서구 2644
 
3.5%
2층 1773
 
2.4%
3층 1638
 
2.2%
범어동 1313
 
1.8%
달구벌대로 1312
 
1.8%
4층 1302
 
1.7%
동구 1045
 
1.4%
Other values (2515) 42208
56.4%
2024-03-15T04:28:44.515185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
66992
20.0%
구 21224
 
6.3%
대 13291
 
4.0%
동 12189
 
3.6%
, 11333
 
3.4%
시 10259
 
3.1%
역 10213
 
3.1%
) 10144
 
3.0%
( 10144
 
3.0%
로 10138
 
3.0%
Other values (400) 158813
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 180003
53.8%
Space Separator 66996
 
20.0%
Decimal Number 53888
 
16.1%
Other Punctuation 11596
 
3.5%
Close Punctuation 10144
 
3.0%
Open Punctuation 10144
 
3.0%
Dash Punctuation 1200
 
0.4%
Math Symbol 400
 
0.1%
Uppercase Letter 348
 
0.1%
Lowercase Letter 21
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 21224
 
11.8%
대 13291
 
7.4%
동 12189
 
6.8%
시 10259
 
5.7%
역 10213
 
5.7%
로 10138
 
5.6%
광 10005
 
5.6%
층 8314
 
4.6%
성 6103
 
3.4%
달 5458
 
3.0%
Other values (350) 72809
40.4%
Uppercase Letter
ValueCountFrequency (%)
A 58
16.7%
M 36
 
10.3%
L 27
 
7.8%
S 26
 
7.5%
E 22
 
6.3%
B 21
 
6.0%
T 18
 
5.2%
K 16
 
4.6%
G 14
 
4.0%
N 14
 
4.0%
Other values (12) 96
27.6%
Decimal Number
ValueCountFrequency (%)
2 9697
18.0%
1 8810
16.3%
3 7588
14.1%
0 6207
11.5%
4 6160
11.4%
5 4738
8.8%
6 3383
 
6.3%
7 2572
 
4.8%
9 2468
 
4.6%
8 2265
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
e 15
71.4%
p 2
 
9.5%
l 1
 
4.8%
s 1
 
4.8%
a 1
 
4.8%
t 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 11333
97.7%
· 186
 
1.6%
. 39
 
0.3%
/ 34
 
0.3%
？ 4
 
< 0.1%
Space Separator
ValueCountFrequency (%)
66992
> 99.9%
  4
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 398
99.5%
+ 2
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 10144
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10144
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1200
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 180003
53.8%
Common 154368
46.1%
Latin 369
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 21224
 
11.8%
대 13291
 
7.4%
동 12189
 
6.8%
시 10259
 
5.7%
역 10213
 
5.7%
로 10138
 
5.6%
광 10005
 
5.6%
층 8314
 
4.6%
성 6103
 
3.4%
달 5458
 
3.0%
Other values (350) 72809
40.4%
Latin
ValueCountFrequency (%)
A 58
15.7%
M 36
 
9.8%
L 27
 
7.3%
S 26
 
7.0%
E 22
 
6.0%
B 21
 
5.7%
T 18
 
4.9%
K 16
 
4.3%
e 15
 
4.1%
G 14
 
3.8%
Other values (18) 116
31.4%
Common
ValueCountFrequency (%)
66992
43.4%
, 11333
 
7.3%
) 10144
 
6.6%
( 10144
 
6.6%
2 9697
 
6.3%
1 8810
 
5.7%
3 7588
 
4.9%
0 6207
 
4.0%
4 6160
 
4.0%
5 4738
 
3.1%
Other values (12) 12555
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 180003
53.8%
ASCII 154543
46.2%
None 194
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
66992
43.3%
, 11333
 
7.3%
) 10144
 
6.6%
( 10144
 
6.6%
2 9697
 
6.3%
1 8810
 
5.7%
3 7588
 
4.9%
0 6207
 
4.0%
4 6160
 
4.0%
5 4738
 
3.1%
Other values (37) 12730
 
8.2%
Hangul
ValueCountFrequency (%)
구 21224
 
11.8%
대 13291
 
7.4%
동 12189
 
6.8%
시 10259
 
5.7%
역 10213
 
5.7%
로 10138
 
5.6%
광 10005
 
5.6%
층 8314
 
4.6%
성 6103
 
3.4%
달 5458
 
3.0%
Other values (350) 72809
40.4%
None
ValueCountFrequency (%)
· 186
95.9%
？ 4
 
2.1%
  4
 
2.1%

설립자-성명
Text

Distinct2657
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T04:28:45.541598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length3
Mean length4.7965
Min length2

Characters and Unicode

Total characters47965
Distinct characters419
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

Unique883 ?
Unique (%)8.8%

Sample

1st row우다현
2nd row남선영
3rd row김언정
4th row김화정
5th row(주)동화세상에듀코 대표 김영철
ValueCountFrequency (%)
주식회사 1510
 
12.7%
웅진씽크빅 357
 
3.0%
셜대학원 343
 
2.9%
주)대교 318
 
2.7%
대표 124
 
1.0%
김영철 124
 
1.0%
주)동화세상에듀코 121
 
1.0%
박동준박지흠 59
 
0.5%
케이에스 52
 
0.4%
주)학문당교육 48
 
0.4%
Other values (2675) 8855
74.3%
2024-03-15T04:28:47.034867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2700
 
5.6%
김 1923
 
4.0%
1922
 
4.0%
이 1750
 
3.6%
사 1678
 
3.5%
식 1648
 
3.4%
회 1598
 
3.3%
정 1274
 
2.7%
대 1072
 
2.2%
영 1020
 
2.1%
Other values (409) 31380
65.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43856
91.4%
Space Separator 1922
 
4.0%
Open Punctuation 773
 
1.6%
Close Punctuation 773
 
1.6%
Uppercase Letter 446
 
0.9%
Decimal Number 108
 
0.2%
Lowercase Letter 72
 
0.2%
Other Punctuation 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2700
 
6.2%
김 1923
 
4.4%
이 1750
 
4.0%
사 1678
 
3.8%
식 1648
 
3.8%
회 1598
 
3.6%
정 1274
 
2.9%
대 1072
 
2.4%
영 1020
 
2.3%
진 910
 
2.1%
Other values (374) 28283
64.5%
Uppercase Letter
ValueCountFrequency (%)
N 61
13.7%
O 60
13.5%
A 43
9.6%
S 41
9.2%
E 37
8.3%
G 36
8.1%
I 23
 
5.2%
R 22
 
4.9%
C 20
 
4.5%
M 19
 
4.3%
Other values (9) 84
18.8%
Lowercase Letter
ValueCountFrequency (%)
l 18
25.0%
i 18
25.0%
c 9
12.5%
n 9
12.5%
a 9
12.5%
t 9
12.5%
Decimal Number
ValueCountFrequency (%)
1 36
33.3%
8 30
27.8%
3 30
27.8%
0 6
 
5.6%
2 6
 
5.6%
Other Punctuation
ValueCountFrequency (%)
. 9
60.0%
: 6
40.0%
Space Separator
ValueCountFrequency (%)
1922
100.0%
Open Punctuation
ValueCountFrequency (%)
( 773
100.0%
Close Punctuation
ValueCountFrequency (%)
) 773
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43856
91.4%
Common 3591
 
7.5%
Latin 518
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2700
 
6.2%
김 1923
 
4.4%
이 1750
 
4.0%
사 1678
 
3.8%
식 1648
 
3.8%
회 1598
 
3.6%
정 1274
 
2.9%
대 1072
 
2.4%
영 1020
 
2.3%
진 910
 
2.1%
Other values (374) 28283
64.5%
Latin
ValueCountFrequency (%)
N 61
 
11.8%
O 60
 
11.6%
A 43
 
8.3%
S 41
 
7.9%
E 37
 
7.1%
G 36
 
6.9%
I 23
 
4.4%
R 22
 
4.2%
C 20
 
3.9%
M 19
 
3.7%
Other values (15) 156
30.1%
Common
ValueCountFrequency (%)
1922
53.5%
( 773
21.5%
) 773
21.5%
1 36
 
1.0%
8 30
 
0.8%
3 30
 
0.8%
. 9
 
0.3%
0 6
 
0.2%
: 6
 
0.2%
2 6
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43856
91.4%
ASCII 4109
 
8.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2700
 
6.2%
김 1923
 
4.4%
이 1750
 
4.0%
사 1678
 
3.8%
식 1648
 
3.8%
회 1598
 
3.6%
정 1274
 
2.9%
대 1072
 
2.4%
영 1020
 
2.3%
진 910
 
2.1%
Other values (374) 28283
64.5%
ASCII
ValueCountFrequency (%)
1922
46.8%
( 773
18.8%
) 773
18.8%
N 61
 
1.5%
O 60
 
1.5%
A 43
 
1.0%
S 41
 
1.0%
E 37
 
0.9%
G 36
 
0.9%
1 36
 
0.9%
Other values (25) 327
 
8.0%

전화번호
Text

MISSING 

Distinct2109
Distinct (%)31.6%
Missing3321
Missing (%)33.2%
Memory size156.2 KiB
2024-03-15T04:28:47.886897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.013325
Min length11

Characters and Unicode

Total characters80237
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

Unique773 ?
Unique (%)11.6%

Sample

1st row053-611-5911
2nd row053-270-6626
3rd row053-252-5610
4th row053-641-7277
5th row053-636-5055
ValueCountFrequency (%)
053-755-0668 139
 
2.1%
053-742-5757 82
 
1.2%
053-633-5445 64
 
1.0%
053-784-3327 48
 
0.7%
053-427-8555 47
 
0.7%
053-632-0060 39
 
0.6%
053-247-5533 38
 
0.6%
053-759-7613 29
 
0.4%
053-636-0943 29
 
0.4%
053-764-6615 28
 
0.4%
Other values (2099) 6136
91.9%
2024-03-15T04:28:49.093965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 13358
16.6%
5 13158
16.4%
0 12000
15.0%
3 11381
14.2%
7 5462
6.8%
6 5134
 
6.4%
2 4652
 
5.8%
1 4209
 
5.2%
4 3937
 
4.9%
9 3762
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 66879
83.4%
Dash Punctuation 13358
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 13158
19.7%
0 12000
17.9%
3 11381
17.0%
7 5462
8.2%
6 5134
 
7.7%
2 4652
 
7.0%
1 4209
 
6.3%
4 3937
 
5.9%
9 3762
 
5.6%
8 3184
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 13358
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 80237
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 13358
16.6%
5 13158
16.4%
0 12000
15.0%
3 11381
14.2%
7 5462
6.8%
6 5134
 
6.4%
2 4652
 
5.8%
1 4209
 
5.2%
4 3937
 
4.9%
9 3762
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 80237
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 13358
16.6%
5 13158
16.4%
0 12000
15.0%
3 11381
14.2%
7 5462
6.8%
6 5134
 
6.4%
2 4652
 
5.8%
1 4209
 
5.2%
4 3937
 
4.9%
9 3762
 
4.7%

교습계열
Categorical

IMBALANCE 

Distinct49
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
보통교과
5087 
예능(중)
1338 
보습
770 
<NA>
627 
외국어
586 
Other values (44)
1592 

Length

Max length24
Median length4
Mean length4.2151
Min length2

Unique

Unique7 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
보통교과 5087
50.9%
예능(중) 1338
 
13.4%
보습 770
 
7.7%
<NA> 627
 
6.3%
외국어 586
 
5.9%
산업응용기술 292
 
2.9%
독서실 263
 
2.6%
기타(중) 151
 
1.5%
컴퓨터 129
 
1.3%
기예(중) 124
 
1.2%
Other values (39) 633
 
6.3%

Length

2024-03-15T04:28:49.521115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
보통교과 5087
50.9%
예능(중 1338
 
13.4%
보습 770
 
7.7%
na 627
 
6.3%
외국어 586
 
5.9%
산업응용기술 292
 
2.9%
독서실 263
 
2.6%
기타(중 151
 
1.5%
컴퓨터 129
 
1.3%
기예(중 124
 
1.2%
Other values (39) 633
 
6.3%

교습과정
Text

MISSING 

Distinct914
Distinct (%)9.7%
Missing536
Missing (%)5.4%
Memory size156.2 KiB
2024-03-15T04:28:50.578771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length2
Mean length4.4578402
Min length2

Characters and Unicode

Total characters42189
Distinct characters416
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique744 ?
Unique (%)7.9%

Sample

1st row음악
2nd row보습
3rd row독서실(유아/초·중·고)
4th row식음료품(바리스타,소믈리에)
5th row보습
ValueCountFrequency (%)
보습 5082
52.6%
음악 714
 
7.4%
실용외국어(유아/초·중·고 579
 
6.0%
미술 501
 
5.2%
독서실(유아/초·중·고 263
 
2.7%
식음료품(바리스타,소믈리에 151
 
1.6%
무용 133
 
1.4%
이·미용 130
 
1.3%
컴퓨터(정보처리,통신기기,인터넷,소프트웨어 129
 
1.3%
성인고시 56
 
0.6%
Other values (937) 1915
 
19.8%
2024-03-15T04:28:52.098413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
보 5260
 
12.5%
습 5117
 
12.1%
· 1817
 
4.3%
( 1718
 
4.1%
) 1717
 
4.1%
고 1180
 
2.8%
초 1137
 
2.7%
중 1127
 
2.7%
어 1036
 
2.5%
실 1008
 
2.4%
Other values (406) 21072
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34157
81.0%
Other Punctuation 3456
 
8.2%
Open Punctuation 1718
 
4.1%
Close Punctuation 1717
 
4.1%
Decimal Number 593
 
1.4%
Uppercase Letter 274
 
0.6%
Space Separator 190
 
0.5%
Lowercase Letter 50
 
0.1%
Dash Punctuation 12
 
< 0.1%
Connector Punctuation 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 5260
 
15.4%
습 5117
 
15.0%
고 1180
 
3.5%
초 1137
 
3.3%
중 1127
 
3.3%
어 1036
 
3.0%
실 1008
 
3.0%
용 933
 
2.7%
음 914
 
2.7%
아 878
 
2.6%
Other values (345) 15567
45.6%
Uppercase Letter
ValueCountFrequency (%)
A 74
27.0%
B 45
16.4%
C 32
11.7%
D 27
 
9.9%
T 19
 
6.9%
S 14
 
5.1%
I 11
 
4.0%
E 11
 
4.0%
G 9
 
3.3%
Q 6
 
2.2%
Other values (11) 26
 
9.5%
Lowercase Letter
ValueCountFrequency (%)
s 6
12.0%
l 5
10.0%
o 5
10.0%
e 4
 
8.0%
i 4
 
8.0%
a 4
 
8.0%
t 4
 
8.0%
p 3
 
6.0%
d 3
 
6.0%
r 2
 
4.0%
Other values (7) 10
20.0%
Decimal Number
ValueCountFrequency (%)
1 170
28.7%
2 166
28.0%
3 87
14.7%
0 47
 
7.9%
4 42
 
7.1%
6 35
 
5.9%
5 25
 
4.2%
9 9
 
1.5%
7 7
 
1.2%
8 5
 
0.8%
Other Punctuation
ValueCountFrequency (%)
· 1817
52.6%
/ 851
24.6%
, 765
22.1%
: 11
 
0.3%
' 9
 
0.3%
& 3
 
0.1%
Math Symbol
ValueCountFrequency (%)
+ 8
80.0%
~ 2
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 1718
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1717
100.0%
Space Separator
ValueCountFrequency (%)
190
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34157
81.0%
Common 7708
 
18.3%
Latin 324
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 5260
 
15.4%
습 5117
 
15.0%
고 1180
 
3.5%
초 1137
 
3.3%
중 1127
 
3.3%
어 1036
 
3.0%
실 1008
 
3.0%
용 933
 
2.7%
음 914
 
2.7%
아 878
 
2.6%
Other values (345) 15567
45.6%
Latin
ValueCountFrequency (%)
A 74
22.8%
B 45
13.9%
C 32
9.9%
D 27
 
8.3%
T 19
 
5.9%
S 14
 
4.3%
I 11
 
3.4%
E 11
 
3.4%
G 9
 
2.8%
Q 6
 
1.9%
Other values (28) 76
23.5%
Common
ValueCountFrequency (%)
· 1817
23.6%
( 1718
22.3%
) 1717
22.3%
/ 851
11.0%
, 765
9.9%
190
 
2.5%
1 170
 
2.2%
2 166
 
2.2%
3 87
 
1.1%
0 47
 
0.6%
Other values (13) 180
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34157
81.0%
ASCII 6215
 
14.7%
None 1817
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
보 5260
 
15.4%
습 5117
 
15.0%
고 1180
 
3.5%
초 1137
 
3.3%
중 1127
 
3.3%
어 1036
 
3.0%
실 1008
 
3.0%
용 933
 
2.7%
음 914
 
2.7%
아 878
 
2.6%
Other values (345) 15567
45.6%
None
ValueCountFrequency (%)
· 1817
100.0%
ASCII
ValueCountFrequency (%)
( 1718
27.6%
) 1717
27.6%
/ 851
13.7%
, 765
12.3%
190
 
3.1%
1 170
 
2.7%
2 166
 
2.7%
3 87
 
1.4%
A 74
 
1.2%
0 47
 
0.8%
Other values (50) 430
 
6.9%

교습과목(반)
Text

Distinct4302
Distinct (%)43.1%
Missing11
Missing (%)0.1%
Memory size156.2 KiB
2024-03-15T04:28:53.230063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length37
Mean length6.5695265
Min length1

Characters and Unicode

Total characters65623
Distinct characters605
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3408 ?
Unique (%)34.1%

Sample

1st row음악고급3
2nd row초등영어(주3회)
3rd row성인1월
4th row홈로스팅
5th row국어 실력향상(초등2)
ValueCountFrequency (%)
10 199
 
1.8%
중등수학 194
 
1.8%
고등수학 188
 
1.7%
초등수학 167
 
1.5%
고등 140
 
1.3%
8 136
 
1.2%
수학(고등 130
 
1.2%
중등 124
 
1.1%
수학(중등 118
 
1.1%
초중고수학과학 110
 
1.0%
Other values (4338) 9511
86.3%
2024-03-15T04:28:54.791898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
등 4568
 
7.0%
) 4160
 
6.3%
( 4158
 
6.3%
학 3130
 
4.8%
중 2570
 
3.9%
초 2487
 
3.8%
고 2481
 
3.8%
수 2428
 
3.7%
어 2048
 
3.1%
영 1541
 
2.3%
Other values (595) 36052
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46180
70.4%
Decimal Number 5821
 
8.9%
Close Punctuation 4273
 
6.5%
Open Punctuation 4271
 
6.5%
Other Punctuation 1684
 
2.6%
Uppercase Letter 1627
 
2.5%
Space Separator 1040
 
1.6%
Lowercase Letter 478
 
0.7%
Dash Punctuation 116
 
0.2%
Math Symbol 107
 
0.2%
Other values (2) 26
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
등 4568
 
9.9%
학 3130
 
6.8%
중 2570
 
5.6%
초 2487
 
5.4%
고 2481
 
5.4%
수 2428
 
5.3%
어 2048
 
4.4%
영 1541
 
3.3%
급 1410
 
3.1%
과 1251
 
2.7%
Other values (515) 22266
48.2%
Uppercase Letter
ValueCountFrequency (%)
A 369
22.7%
B 265
16.3%
C 212
13.0%
I 93
 
5.7%
T 93
 
5.7%
D 83
 
5.1%
S 75
 
4.6%
E 64
 
3.9%
G 36
 
2.2%
P 35
 
2.2%
Other values (16) 302
18.6%
Lowercase Letter
ValueCountFrequency (%)
e 50
 
10.5%
i 46
 
9.6%
t 37
 
7.7%
n 32
 
6.7%
r 29
 
6.1%
a 29
 
6.1%
o 29
 
6.1%
m 28
 
5.9%
c 24
 
5.0%
v 23
 
4.8%
Other values (14) 151
31.6%
Decimal Number
ValueCountFrequency (%)
1 1341
23.0%
2 1112
19.1%
0 914
15.7%
3 679
11.7%
5 458
 
7.9%
4 414
 
7.1%
8 369
 
6.3%
6 248
 
4.3%
7 167
 
2.9%
9 119
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 1409
83.7%
/ 178
 
10.6%
. 44
 
2.6%
& 24
 
1.4%
· 21
 
1.2%
: 5
 
0.3%
% 2
 
0.1%
# 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 8
66.7%
Ⅱ 3
 
25.0%
Ⅳ 1
 
8.3%
Close Punctuation
ValueCountFrequency (%)
) 4160
97.4%
] 113
 
2.6%
Open Punctuation
ValueCountFrequency (%)
( 4158
97.4%
[ 113
 
2.6%
Math Symbol
ValueCountFrequency (%)
+ 70
65.4%
~ 37
34.6%
Space Separator
ValueCountFrequency (%)
1040
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46179
70.4%
Common 17326
 
26.4%
Latin 2117
 
3.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
등 4568
 
9.9%
학 3130
 
6.8%
중 2570
 
5.6%
초 2487
 
5.4%
고 2481
 
5.4%
수 2428
 
5.3%
어 2048
 
4.4%
영 1541
 
3.3%
급 1410
 
3.1%
과 1251
 
2.7%
Other values (514) 22265
48.2%
Latin
ValueCountFrequency (%)
A 369
17.4%
B 265
 
12.5%
C 212
 
10.0%
I 93
 
4.4%
T 93
 
4.4%
D 83
 
3.9%
S 75
 
3.5%
E 64
 
3.0%
e 50
 
2.4%
i 46
 
2.2%
Other values (43) 767
36.2%
Common
ValueCountFrequency (%)
) 4160
24.0%
( 4158
24.0%
, 1409
 
8.1%
1 1341
 
7.7%
2 1112
 
6.4%
1040
 
6.0%
0 914
 
5.3%
3 679
 
3.9%
5 458
 
2.6%
4 414
 
2.4%
Other values (17) 1641
 
9.5%
Han
ValueCountFrequency (%)
必 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46179
70.4%
ASCII 19410
29.6%
None 21
 
< 0.1%
Number Forms 12
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
등 4568
 
9.9%
학 3130
 
6.8%
중 2570
 
5.6%
초 2487
 
5.4%
고 2481
 
5.4%
수 2428
 
5.3%
어 2048
 
4.4%
영 1541
 
3.3%
급 1410
 
3.1%
과 1251
 
2.7%
Other values (514) 22265
48.2%
ASCII
ValueCountFrequency (%)
) 4160
21.4%
( 4158
21.4%
, 1409
 
7.3%
1 1341
 
6.9%
2 1112
 
5.7%
1040
 
5.4%
0 914
 
4.7%
3 679
 
3.5%
5 458
 
2.4%
4 414
 
2.1%
Other values (66) 3725
19.2%
None
ValueCountFrequency (%)
· 21
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 8
66.7%
Ⅱ 3
 
25.0%
Ⅳ 1
 
8.3%
CJK
ValueCountFrequency (%)
必 1
100.0%

정원
Text

Distinct139
Distinct (%)1.4%
Missing10
Missing (%)0.1%
Memory size156.2 KiB
2024-03-15T04:28:55.628001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length2
Mean length2.2902903
Min length1

Characters and Unicode

Total characters22880
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)0.3%

Sample

1st row10
2nd row15
3rd row25
4th row20
5th row8
ValueCountFrequency (%)
10 1761
15.7%
20 1227
11.0%
0일 1148
10.3%
1개월 1072
9.6%
15 910
 
8.1%
8 862
 
7.7%
12 479
 
4.3%
6 478
 
4.3%
30 476
 
4.3%
5 274
 
2.5%
Other values (130) 2495
22.3%
2024-03-15T04:28:56.772614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5395
23.6%
1 4860
21.2%
2 2295
10.0%
5 1820
 
8.0%
개 1192
 
5.2%
월 1192
 
5.2%
1192
 
5.2%
일 1192
 
5.2%
8 1162
 
5.1%
6 864
 
3.8%
Other values (5) 1716
 
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18111
79.2%
Other Letter 3576
 
15.6%
Space Separator 1192
 
5.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5395
29.8%
1 4860
26.8%
2 2295
12.7%
5 1820
 
10.0%
8 1162
 
6.4%
6 864
 
4.8%
3 642
 
3.5%
4 598
 
3.3%
7 304
 
1.7%
9 171
 
0.9%
Other Letter
ValueCountFrequency (%)
개 1192
33.3%
월 1192
33.3%
일 1192
33.3%
Space Separator
ValueCountFrequency (%)
1192
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19304
84.4%
Hangul 3576
 
15.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5395
27.9%
1 4860
25.2%
2 2295
11.9%
5 1820
 
9.4%
1192
 
6.2%
8 1162
 
6.0%
6 864
 
4.5%
3 642
 
3.3%
4 598
 
3.1%
7 304
 
1.6%
Other values (2) 172
 
0.9%
Hangul
ValueCountFrequency (%)
개 1192
33.3%
월 1192
33.3%
일 1192
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19304
84.4%
Hangul 3576
 
15.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5395
27.9%
1 4860
25.2%
2 2295
11.9%
5 1820
 
9.4%
1192
 
6.2%
8 1162
 
6.0%
6 864
 
4.5%
3 642
 
3.3%
4 598
 
3.1%
7 304
 
1.6%
Other values (2) 172
 
0.9%
Hangul
ValueCountFrequency (%)
개 1192
33.3%
월 1192
33.3%
일 1192
33.3%

교습기간
Text

Distinct388
Distinct (%)3.9%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2024-03-15T04:28:58.056038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length6
Mean length5.7765777
Min length1

Characters and Unicode

Total characters57760
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique194 ?
Unique (%)1.9%

Sample

1st row1개월 0일
2nd row1개월 0일
3rd row1개월 0일
4th row1개월 0일
5th row1개월 0일
ValueCountFrequency (%)
0일 8539
45.4%
1개월 8219
43.7%
0개월 350
 
1.9%
1일 123
 
0.7%
2개월 101
 
0.5%
0 80
 
0.4%
3개월 56
 
0.3%
1,290 45
 
0.2%
1,200 38
 
0.2%
1,032 33
 
0.2%
Other values (365) 1223
 
6.5%
2024-03-15T04:28:59.785492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9893
17.1%
1 9186
15.9%
개 8808
15.2%
월 8808
15.2%
8808
15.2%
일 8808
15.2%
, 686
 
1.2%
2 637
 
1.1%
4 393
 
0.7%
5 356
 
0.6%
Other values (5) 1377
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26424
45.7%
Decimal Number 21842
37.8%
Space Separator 8808
 
15.2%
Other Punctuation 686
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9893
45.3%
1 9186
42.1%
2 637
 
2.9%
4 393
 
1.8%
5 356
 
1.6%
3 343
 
1.6%
8 290
 
1.3%
6 282
 
1.3%
7 247
 
1.1%
9 215
 
1.0%
Other Letter
ValueCountFrequency (%)
개 8808
33.3%
월 8808
33.3%
일 8808
33.3%
Space Separator
ValueCountFrequency (%)
8808
100.0%
Other Punctuation
ValueCountFrequency (%)
, 686
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 31336
54.3%
Hangul 26424
45.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9893
31.6%
1 9186
29.3%
8808
28.1%
, 686
 
2.2%
2 637
 
2.0%
4 393
 
1.3%
5 356
 
1.1%
3 343
 
1.1%
8 290
 
0.9%
6 282
 
0.9%
Other values (2) 462
 
1.5%
Hangul
ValueCountFrequency (%)
개 8808
33.3%
월 8808
33.3%
일 8808
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31336
54.3%
Hangul 26424
45.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9893
31.6%
1 9186
29.3%
8808
28.1%
, 686
 
2.2%
2 637
 
2.0%
4 393
 
1.3%
5 356
 
1.1%
3 343
 
1.1%
8 290
 
0.9%
6 282
 
0.9%
Other values (2) 462
 
1.5%
Hangul
ValueCountFrequency (%)
개 8808
33.3%
월 8808
33.3%
일 8808
33.3%

총교습시간(분)
Text

Distinct1211
Distinct (%)12.1%
Missing11
Missing (%)0.1%
Memory size156.2 KiB
2024-03-15T04:29:01.255946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length3.7355091
Min length1

Characters and Unicode

Total characters37314
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

Unique568 ?
Unique (%)5.7%

Sample

1st row1,000
2nd row1,042
3rd row0
4th row1,200
5th row260
ValueCountFrequency (%)
0 1247
 
12.5%
1,200 268
 
2.7%
1 240
 
2.4%
1,440 208
 
2.1%
1,303 181
 
1.8%
960 178
 
1.8%
1,260 178
 
1.8%
720 176
 
1.8%
1,564 147
 
1.5%
258 145
 
1.5%
Other values (1201) 7021
70.3%
2024-03-15T04:29:03.207630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8529
22.9%
1 5755
15.4%
, 5129
13.7%
2 3426
9.2%
4 2611
 
7.0%
6 2329
 
6.2%
5 2189
 
5.9%
8 2182
 
5.8%
3 2104
 
5.6%
7 1676
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32185
86.3%
Other Punctuation 5129
 
13.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8529
26.5%
1 5755
17.9%
2 3426
10.6%
4 2611
 
8.1%
6 2329
 
7.2%
5 2189
 
6.8%
8 2182
 
6.8%
3 2104
 
6.5%
7 1676
 
5.2%
9 1384
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 5129
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 37314
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8529
22.9%
1 5755
15.4%
, 5129
13.7%
2 3426
9.2%
4 2611
 
7.0%
6 2329
 
6.2%
5 2189
 
5.9%
8 2182
 
5.8%
3 2104
 
5.6%
7 1676
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37314
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8529
22.9%
1 5755
15.4%
, 5129
13.7%
2 3426
9.2%
4 2611
 
7.0%
6 2329
 
6.2%
5 2189
 
5.9%
8 2182
 
5.8%
3 2104
 
5.6%
7 1676
 
4.5%

모의고사비
Text

Distinct58
Distinct (%)0.6%
Missing11
Missing (%)0.1%
Memory size156.2 KiB
2024-03-15T04:29:03.896492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length1
Mean length1.0615677
Min length1

Characters and Unicode

Total characters10604
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

Unique35 ?
Unique (%)0.4%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 9870
98.8%
50,000 9
 
0.1%
35,000 8
 
0.1%
100,000 7
 
0.1%
130,000 7
 
0.1%
8,000 6
 
0.1%
80,000 6
 
0.1%
37,000 5
 
0.1%
20,000 4
 
< 0.1%
11,000 4
 
< 0.1%
Other values (48) 63
 
0.6%
2024-03-15T04:29:04.959091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10240
96.6%
, 120
 
1.1%
1 47
 
0.4%
3 38
 
0.4%
5 36
 
0.3%
4 33
 
0.3%
8 32
 
0.3%
2 25
 
0.2%
7 13
 
0.1%
9 11
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10484
98.9%
Other Punctuation 120
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10240
97.7%
1 47
 
0.4%
3 38
 
0.4%
5 36
 
0.3%
4 33
 
0.3%
8 32
 
0.3%
2 25
 
0.2%
7 13
 
0.1%
9 11
 
0.1%
6 9
 
0.1%
Other Punctuation
ValueCountFrequency (%)
, 120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10604
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10240
96.6%
, 120
 
1.1%
1 47
 
0.4%
3 38
 
0.4%
5 36
 
0.3%
4 33
 
0.3%
8 32
 
0.3%
2 25
 
0.2%
7 13
 
0.1%
9 11
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10604
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10240
96.6%
, 120
 
1.1%
1 47
 
0.4%
3 38
 
0.4%
5 36
 
0.3%
4 33
 
0.3%
8 32
 
0.3%
2 25
 
0.2%
7 13
 
0.1%
9 11
 
0.1%

재료비
Categorical

IMBALANCE 

Distinct34
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9917 
19,000
 
14
<NA>
 
11
85,000
 
6
15,000
 
5
Other values (29)
 
47

Length

Max length9
Median length1
Mean length1.0419
Min length1

Unique

Unique19 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 9917
99.2%
19,000 14
 
0.1%
<NA> 11
 
0.1%
85,000 6
 
0.1%
15,000 5
 
0.1%
30,000 5
 
0.1%
800,000 4
 
< 0.1%
38,000 3
 
< 0.1%
1,000,000 3
 
< 0.1%
856,300 3
 
< 0.1%
Other values (24) 29
 
0.3%

Length

2024-03-15T04:29:05.232311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 9917
99.2%
19,000 14
 
0.1%
na 11
 
0.1%
85,000 6
 
0.1%
15,000 5
 
< 0.1%
30,000 5
 
< 0.1%
800,000 4
 
< 0.1%
38,000 3
 
< 0.1%
1,000,000 3
 
< 0.1%
856,300 3
 
< 0.1%
Other values (24) 29
 
0.3%

급식비
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9984 
<NA>
 
11
10,000
 
1
50,000
 
1
210
 
1
Other values (2)
 
2

Length

Max length7
Median length1
Mean length1.0056
Min length1

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 9984
99.8%
<NA> 11
 
0.1%
10,000 1
 
< 0.1%
50,000 1
 
< 0.1%
210 1
 
< 0.1%
80,000 1
 
< 0.1%
130,000 1
 
< 0.1%

Length

2024-03-15T04:29:05.612334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:29:05.962381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9984
99.8%
na 11
 
0.1%
10,000 1
 
< 0.1%
50,000 1
 
< 0.1%
210 1
 
< 0.1%
80,000 1
 
< 0.1%
130,000 1
 
< 0.1%

차량비
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9944 
30,000
 
27
<NA>
 
11
50,000
 
7
25,000
 
5
Other values (2)
 
6

Length

Max length6
Median length1
Mean length1.0258
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 9944
99.4%
30,000 27
 
0.3%
<NA> 11
 
0.1%
50,000 7
 
0.1%
25,000 5
 
0.1%
10,000 4
 
< 0.1%
48,000 2
 
< 0.1%

Length

2024-03-15T04:29:06.432945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:29:06.798299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9944
99.4%
30,000 27
 
0.3%
na 11
 
0.1%
50,000 7
 
0.1%
25,000 5
 
< 0.1%
10,000 4
 
< 0.1%
48,000 2
 
< 0.1%

피복비
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9767 
<NA>
 
113
30,000
 
91
20,000
 
18
450,000
 
5
Other values (4)
 
6

Length

Max length7
Median length1
Mean length1.0946
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 9767
97.7%
<NA> 113
 
1.1%
30,000 91
 
0.9%
20,000 18
 
0.2%
450,000 5
 
0.1%
10,000 2
 
< 0.1%
15,000 2
 
< 0.1%
100,000 1
 
< 0.1%
350,000 1
 
< 0.1%

Length

2024-03-15T04:29:07.241617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:29:07.624414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9767
97.7%
na 113
 
1.1%
30,000 91
 
0.9%
20,000 18
 
0.2%
450,000 5
 
< 0.1%
10,000 2
 
< 0.1%
15,000 2
 
< 0.1%
100,000 1
 
< 0.1%
350,000 1
 
< 0.1%

기타경비합계
Text

Distinct67
Distinct (%)0.7%
Missing69
Missing (%)0.7%
Memory size156.2 KiB
2024-03-15T04:29:08.411299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length1
Mean length1.0799517
Min length1

Characters and Unicode

Total characters10725
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

Unique41 ?
Unique (%)0.4%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 9776
98.4%
30,000 32
 
0.3%
50,000 13
 
0.1%
85,000 7
 
0.1%
10,000 6
 
0.1%
450,000 6
 
0.1%
25,000 5
 
0.1%
11,000 4
 
< 0.1%
52,000 3
 
< 0.1%
400,000 3
 
< 0.1%
Other values (57) 76
 
0.8%
2024-03-15T04:29:09.838309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10280
95.9%
, 155
 
1.4%
5 67
 
0.6%
3 50
 
0.5%
4 46
 
0.4%
8 35
 
0.3%
1 34
 
0.3%
2 24
 
0.2%
7 16
 
0.1%
6 13
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10570
98.6%
Other Punctuation 155
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10280
97.3%
5 67
 
0.6%
3 50
 
0.5%
4 46
 
0.4%
8 35
 
0.3%
1 34
 
0.3%
2 24
 
0.2%
7 16
 
0.2%
6 13
 
0.1%
9 5
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
, 155
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10725
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10280
95.9%
, 155
 
1.4%
5 67
 
0.6%
3 50
 
0.5%
4 46
 
0.4%
8 35
 
0.3%
1 34
 
0.3%
2 24
 
0.2%
7 16
 
0.1%
6 13
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10725
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10280
95.9%
, 155
 
1.4%
5 67
 
0.6%
3 50
 
0.5%
4 46
 
0.4%
8 35
 
0.3%
1 34
 
0.3%
2 24
 
0.2%
7 16
 
0.1%
6 13
 
0.1%

총교습비
Text

Distinct731
Distinct (%)7.3%
Missing11
Missing (%)0.1%
Memory size156.2 KiB
2024-03-15T04:29:10.968473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7
Mean length4.7346081
Min length1

Characters and Unicode

Total characters47294
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

Unique411 ?
Unique (%)4.1%

Sample

1st row0
2nd row0
3rd row0
4th row400,000
5th row0
ValueCountFrequency (%)
0 3659
36.6%
200,000 342
 
3.4%
250,000 268
 
2.7%
150,000 250
 
2.5%
300,000 243
 
2.4%
100,000 166
 
1.7%
130,000 163
 
1.6%
120,000 161
 
1.6%
180,000 142
 
1.4%
160,000 141
 
1.4%
Other values (721) 4454
44.6%
2024-03-15T04:29:12.478318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 28275
59.8%
, 6554
 
13.9%
2 2480
 
5.2%
1 2449
 
5.2%
5 1817
 
3.8%
3 1682
 
3.6%
4 997
 
2.1%
6 809
 
1.7%
9 786
 
1.7%
8 730
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40740
86.1%
Other Punctuation 6554
 
13.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 28275
69.4%
2 2480
 
6.1%
1 2449
 
6.0%
5 1817
 
4.5%
3 1682
 
4.1%
4 997
 
2.4%
6 809
 
2.0%
9 786
 
1.9%
8 730
 
1.8%
7 715
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 6554
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 47294
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 28275
59.8%
, 6554
 
13.9%
2 2480
 
5.2%
1 2449
 
5.2%
5 1817
 
3.8%
3 1682
 
3.6%
4 997
 
2.1%
6 809
 
1.7%
9 786
 
1.7%
8 730
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47294
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 28275
59.8%
, 6554
 
13.9%
2 2480
 
5.2%
1 2449
 
5.2%
5 1817
 
3.8%
3 1682
 
3.6%
4 997
 
2.1%
6 809
 
1.7%
9 786
 
1.7%
8 730
 
1.5%

강사수
Text

Distinct389
Distinct (%)3.9%
Missing2
Missing (%)< 0.1%
Memory size156.2 KiB
2024-03-15T04:29:13.873899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length3.3622725
Min length1

Characters and Unicode

Total characters33616
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

Unique172 ?
Unique (%)1.7%

Sample

1st row185,000
2nd row160,000
3rd row150,000
4th row1
5th row40,000
ValueCountFrequency (%)
1 849
 
8.5%
2 847
 
8.5%
3 731
 
7.3%
4 674
 
6.7%
5 508
 
5.1%
6 421
 
4.2%
0 296
 
3.0%
7 257
 
2.6%
8 224
 
2.2%
200,000 204
 
2.0%
Other values (379) 4987
49.9%
2024-03-15T04:29:16.415862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 15458
46.0%
, 3884
 
11.6%
1 3408
 
10.1%
2 2717
 
8.1%
3 1858
 
5.5%
5 1623
 
4.8%
4 1445
 
4.3%
6 1005
 
3.0%
7 864
 
2.6%
8 842
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29732
88.4%
Other Punctuation 3884
 
11.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 15458
52.0%
1 3408
 
11.5%
2 2717
 
9.1%
3 1858
 
6.2%
5 1623
 
5.5%
4 1445
 
4.9%
6 1005
 
3.4%
7 864
 
2.9%
8 842
 
2.8%
9 512
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 3884
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33616
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 15458
46.0%
, 3884
 
11.6%
1 3408
 
10.1%
2 2717
 
8.1%
3 1858
 
5.5%
5 1623
 
4.8%
4 1445
 
4.3%
6 1005
 
3.0%
7 864
 
2.6%
8 842
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33616
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 15458
46.0%
, 3884
 
11.6%
1 3408
 
10.1%
2 2717
 
8.1%
3 1858
 
5.5%
5 1623
 
4.8%
4 1445
 
4.3%
6 1005
 
3.0%
7 864
 
2.6%
8 842
 
2.5%

Unnamed: 20
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)0.7%
Missing6169
Missing (%)61.7%
Infinite0
Infinite (%)0.0%
Mean4.8091882
Minimum0
Maximum46
Zeros178
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T04:29:16.826392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q35
95-th percentile13
Maximum46
Range46
Interquartile range (IQR)3

Descriptive statistics

Standard deviation6.4184687
Coefficient of variation (CV)1.3346262
Kurtosis26.101024
Mean4.8091882
Median Absolute Deviation (MAD)2
Skewness4.6671025
Sum18424
Variance41.196741
MonotonicityNot monotonic
2024-03-15T04:29:17.269235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
2 709
 
7.1%
3 587
 
5.9%
1 579
 
5.8%
5 448
 
4.5%
4 386
 
3.9%
6 274
 
2.7%
0 178
 
1.8%
7 173
 
1.7%
8 114
 
1.1%
9 77
 
0.8%
Other values (15) 306
 
3.1%
(Missing) 6169
61.7%
ValueCountFrequency (%)
0 178
 
1.8%
1 579
5.8%
2 709
7.1%
3 587
5.9%
4 386
3.9%
5 448
4.5%
6 274
 
2.7%
7 173
 
1.7%
8 114
 
1.1%
9 77
 
0.8%
ValueCountFrequency (%)
46 64
0.6%
27 1
 
< 0.1%
26 6
 
0.1%
24 2
 
< 0.1%
20 7
 
0.1%
19 2
 
< 0.1%
18 22
 
0.2%
17 21
 
0.2%
16 21
 
0.2%
15 31
0.3%

Sample

학원명학원종류분야구분학원주소설립자-성명전화번호교습계열교습과정교습과목(반)정원교습기간총교습시간(분)모의고사비재료비급식비차량비피복비기타경비합계총교습비강사수Unnamed: 20
34836한양음악학원학교교과교습학원예능(대)대구광역시 달서구 월서로 31 , 2동 201호 (상인동, 상인역신일해피트리)우다현<NA>예능(중)음악음악고급3101개월 0일1,0000000000185,0003
40737강림뮤엠영어학원학교교과교습학원입시.검정 및 보습대구광역시 달성군 옥포면 돌미로 52 , 303호 (옥포면)남선영053-611-5911보통교과보습초등영어(주3회)151개월 0일1,0420000000160,0002
32763성서일등독서실학교교과교습학원독서실대구광역시 달서구 성서로 420 , 10층1001호 (이곡동)김언정<NA>독서실독서실(유아/초·중·고)성인1월251개월 0일00000000150,0000
16436한국카페직업개발학원평생직업교육학원직업기술대구광역시 동구 아양로41길 55 , 2층 (신암동)김화정053-270-6626산업응용기술식음료품(바리스타,소믈리에)홈로스팅201개월 0일1,200000000400,0001<NA>
35728대구장기점와와학습코칭학원학교교과교습학원입시.검정 및 보습대구광역시 달서구 장기로 252 , 209호, 210호 (장기동, 장기 협성휴포레)(주)동화세상에듀코 대표 김영철<NA>보통교과보습국어 실력향상(초등2)81개월 0일260000000040,0004
635드림코믹스만화학원학교교과교습학원기타(대)대구광역시 중구 명덕로 209 2 (남산동)권오인053-252-5610기타(중)만화만화(입시)401개월 0일3,360000000420,0002<NA>
33275양재영음악학원학교교과교습학원예능(대)대구광역시 달서구 조암남로32길 20-4 , 403호 (대천동)양재영053-641-7277예능(중)음악피아노중급C301개월 0일8500000000130,0002
35061월성유혜진수학학원학교교과교습학원입시.검정 및 보습대구광역시 달서구 조암로 24 , A동 301호 (월성동)이정화053-636-5055보통교과보습수학(중등)61개월 0일7740000000100,0007
24504비케이(BK)입시학원학교교과교습학원입시.검정 및 보습대구광역시 북구 동천로24길 7 , 3층 3호 (동천동)김병훈<NA>보습영어(중등)121개월 0일1,5640000000240,0003<NA>
16327발레뤼스무용학원학교교과교습학원예능(대)대구광역시 수성구 수성로 319 , 3층 (수성동1가)김윤지<NA>예능(중)무용유치부 주4회301개월 0일1,848000000200,0001<NA>
학원명학원종류분야구분학원주소설립자-성명전화번호교습계열교습과정교습과목(반)정원교습기간총교습시간(분)모의고사비재료비급식비차량비피복비기타경비합계총교습비강사수Unnamed: 20
6976동성로기타교실학원평생직업교육학원기예(대)대구광역시 중구 중앙대로77길 4 , 2층 (동성로3가)이창민070-5022-3299기예(중)실용음악(성악)통기타단체171개월 0일24000000080,0002<NA>
380신사고학원학교교과교습학원입시.검정 및 보습대구광역시 수성구 청호로 297 황금동 4층주식회사 신사고053-761-4777보통교과보습고등수학201개월 0일3,360000000759,00013<NA>
23720웅진씽크빅학습센터사수학원학교교과교습학원입시.검정 및 보습대구광역시 북구 내곡로 38-4 , 2층 일부 (사수동)주식회사 웅진씽크빅<NA>보습스마트올중학_국어601개월 0일388000000075,0008<NA>
1986로뎀음악학원학교교과교습학원예능(대)대구광역시 중구 달성로22길 13 , 2층 (수창동)정복섭053-257-2381예능(중)음악피아노(초급)101개월 0일1,000000000110,0000<NA>
39675빈음악학원학교교과교습학원예능(대)대구광역시 달성군 화원읍 비슬로539길 35 , 상가 204동 (화원읍, 대곡역 래미안)김지영053-633-6885예능(중)음악음악중급A151개월 0일1,0000000000150,0001
40787스터디엔카페독서실학교교과교습학원독서실대구광역시 달성군 다사읍 대실역북로 11 , 4층 (다사읍)김남은053-583-8209독서실독서실(유아/초·중·고)성인(1달)301개월 0일00000000160,0000
8670에스비에스(SBS)아카데미컴퓨터아트학원평생직업교육학원종합(대)대구광역시 중구 동성로1길 15 , 5층 일부 (동성로3가)주식회사 에스씨에이아카데미대구053-427-8555<NA><NA>영상편집(프리미어,에펙)&3D모션그래픽제작205개월 0일18,0000000001,869,30046<NA>
17312한솔바리스타제과제빵요리학원평생직업교육학원직업기술대구광역시 중구 달구벌대로 2105 , 3층 (덕산동, 대구은행 반월당지점)(주)한솔요리학원053-214-5300산업응용기술식음료품(바리스타,소믈리에)국내2급+SCA Lv2(화목)181개월 7일1,304000000630,00011<NA>
3473POLY어학원학교교과교습학원국제화대구광역시 수성구 수성로58길 55 , 1층일부, 2~3층 (수성동2가)(주)현명053-764-7659외국어실용외국어(유아/초·중·고)(유아) 외국인전담121개월 0일5,19000130,00000130,0001,360,00016<NA>
29261더송쌤학원학교교과교습학원입시.검정 및 보습대구광역시 달서구 송현로 54 , 1층일부, 2층일부 (송현동)송현지053-255-9092보통교과보습영어(특강)고등201개월 0일5640000000120,0005

Duplicate rows

Most frequently occurring

학원명학원종류분야구분학원주소설립자-성명전화번호교습계열교습과정교습과목(반)정원교습기간총교습시간(분)모의고사비재료비급식비차량비피복비기타경비합계총교습비강사수Unnamed: 20# duplicates
2PDE입시학원학교교과교습학원입시.검정 및 보습대구광역시 수성구 청수로 188 , 4층 (지산동)이승화053-783-1700보통교과보습고등51개월 0일1,134000000300,0007<NA>6
4PDE입시학원학교교과교습학원입시.검정 및 보습대구광역시 수성구 청수로 188 , 4층 (지산동)이승화053-783-1700보통교과보습중등51개월 0일1,134000000200,0007<NA>3
7PDE입시학원학교교과교습학원입시.검정 및 보습대구광역시 수성구 청수로 188 , 4층 (지산동)이승화053-783-1700보통교과보습초등51개월 0일945000000150,0007<NA>3
9국제입시학원학교교과교습학원입시.검정 및 보습대구광역시 수성구 달구벌대로496길 34 , 2.3층 (범어동)장병찬053-767-0040보통교과보습중등101개월 0일1,161000000208,0008<NA>3
0MJ실용음악학원학교교과교습학원예능(대)대구광역시 중구 달구벌대로 2085 동아쇼핑 11층 (덕산동)김민정053-2535-548예능(중)음악일반51개월 0일78000000080,00012<NA>2
1MJ실용음악학원학교교과교습학원예능(대)대구광역시 중구 달구벌대로 2085 동아쇼핑 11층 (덕산동)김민정053-2535-548예능(중)음악입시11개월 0일1,512000000250,00012<NA>2
3PDE입시학원학교교과교습학원입시.검정 및 보습대구광역시 수성구 청수로 188 , 4층 (지산동)이승화053-783-1700보통교과보습고등51개월 0일756000000200,0007<NA>2
5PDE입시학원학교교과교습학원입시.검정 및 보습대구광역시 수성구 청수로 188 , 4층 (지산동)이승화053-783-1700보통교과보습중등51개월 0일756000000130,0007<NA>2
6PDE입시학원학교교과교습학원입시.검정 및 보습대구광역시 수성구 청수로 188 , 4층 (지산동)이승화053-783-1700보통교과보습초등51개월 0일756000000120,0007<NA>2
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