Overview

Dataset statistics

Number of variables28
Number of observations10000
Missing cells126801
Missing cells (%)45.3%
Duplicate rows167
Duplicate rows (%)1.7%
Total size in memory2.3 MiB
Average record size in memory240.0 B

Variable types

Text13
Unsupported7
Categorical5
Numeric1
Boolean2

Dataset

Description시설명,종목시설명,프로그램명,종목명,장소,주소,홈페이지,주차면(면),문의전화,FAX,이메일,반명,레벨,대상,기간,요일,진행시간(1회),수강료(원),프로그램소개,전체정원수,접수방법,접수기간,선별방법,온라인예약링크,사용여부(센터에서 강좌오픈여부),강좌시작일,강좌종료일,가격무료확인
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-1221/S/1/datasetView.do

Alerts

가격무료확인 has constant value ""Constant
Dataset has 167 (1.7%) duplicate rowsDuplicates
선별방법 is highly imbalanced (76.9%)Imbalance
온라인예약링크 is highly imbalanced (91.3%)Imbalance
사용여부(센터에서 강좌오픈여부) is highly imbalanced (77.4%)Imbalance
강좌시작일 is highly imbalanced (83.0%)Imbalance
강좌종료일 is highly imbalanced (84.1%)Imbalance
종목시설명 has 10000 (100.0%) missing valuesMissing
장소 has 6268 (62.7%) missing valuesMissing
주소 has 10000 (100.0%) missing valuesMissing
홈페이지 has 10000 (100.0%) missing valuesMissing
주차면(면) has 10000 (100.0%) missing valuesMissing
문의전화 has 10000 (100.0%) missing valuesMissing
FAX has 10000 (100.0%) missing valuesMissing
이메일 has 10000 (100.0%) missing valuesMissing
반명 has 3124 (31.2%) missing valuesMissing
레벨 has 9092 (90.9%) missing valuesMissing
대상 has 1894 (18.9%) missing valuesMissing
기간 has 3197 (32.0%) missing valuesMissing
요일 has 1186 (11.9%) missing valuesMissing
진행시간(1회) has 650 (6.5%) missing valuesMissing
프로그램소개 has 6668 (66.7%) missing valuesMissing
전체정원수 has 774 (7.7%) missing valuesMissing
접수방법 has 4069 (40.7%) missing valuesMissing
접수기간 has 6022 (60.2%) missing valuesMissing
사용여부(센터에서 강좌오픈여부) has 3938 (39.4%) missing valuesMissing
가격무료확인 has 9909 (99.1%) missing valuesMissing
종목시설명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주차면(면) is an unsupported type, check if it needs cleaning or further analysisUnsupported
문의전화 is an unsupported type, check if it needs cleaning or further analysisUnsupported
FAX is an unsupported type, check if it needs cleaning or further analysisUnsupported
이메일 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수강료(원) has 600 (6.0%) zerosZeros

Reproduction

Analysis started2023-12-11 08:26:58.304597
Analysis finished2023-12-11 08:27:01.196234
Duration2.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct234
Distinct (%)2.3%
Missing10
Missing (%)0.1%
Memory size156.2 KiB
2023-12-11T17:27:01.376413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length8.5299299
Min length5

Characters and Unicode

Total characters85214
Distinct characters224
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)0.3%

Sample

1st row중구청소년수련관
2nd row양천구민체육센터
3rd row수서청소년수련관
4th row서울여성플라자스포츠센터
5th row종로문화체육센터
ValueCountFrequency (%)
창동문화체육센터 383
 
3.8%
올림픽기념국민생활관 337
 
3.4%
중랑청소년수련관 305
 
3.0%
종로문화체육센터 300
 
3.0%
은평구민체육센터 260
 
2.6%
도봉실내수영장 250
 
2.5%
동대문청소년수련관 241
 
2.4%
금천청소년수련관 228
 
2.3%
송파체육문화회관 210
 
2.1%
충무아트홀스포츠센터 192
 
1.9%
Other values (227) 7308
73.0%
2023-12-11T17:27:01.849673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4934
 
5.8%
4337
 
5.1%
4241
 
5.0%
4241
 
5.0%
4101
 
4.8%
2969
 
3.5%
2931
 
3.4%
2691
 
3.2%
2587
 
3.0%
2587
 
3.0%
Other values (214) 49595
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 83943
98.5%
Open Punctuation 387
 
0.5%
Close Punctuation 387
 
0.5%
Uppercase Letter 244
 
0.3%
Space Separator 131
 
0.2%
Decimal Number 122
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4934
 
5.9%
4337
 
5.2%
4241
 
5.1%
4241
 
5.1%
4101
 
4.9%
2969
 
3.5%
2931
 
3.5%
2691
 
3.2%
2587
 
3.1%
2587
 
3.1%
Other values (198) 48324
57.6%
Decimal Number
ValueCountFrequency (%)
2 69
56.6%
1 33
27.0%
3 7
 
5.7%
5 7
 
5.7%
4 2
 
1.6%
7 2
 
1.6%
6 1
 
0.8%
9 1
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
Y 61
25.0%
C 61
25.0%
A 61
25.0%
W 51
20.9%
M 10
 
4.1%
Open Punctuation
ValueCountFrequency (%)
( 387
100.0%
Close Punctuation
ValueCountFrequency (%)
) 387
100.0%
Space Separator
ValueCountFrequency (%)
131
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 83943
98.5%
Common 1027
 
1.2%
Latin 244
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4934
 
5.9%
4337
 
5.2%
4241
 
5.1%
4241
 
5.1%
4101
 
4.9%
2969
 
3.5%
2931
 
3.5%
2691
 
3.2%
2587
 
3.1%
2587
 
3.1%
Other values (198) 48324
57.6%
Common
ValueCountFrequency (%)
( 387
37.7%
) 387
37.7%
131
 
12.8%
2 69
 
6.7%
1 33
 
3.2%
3 7
 
0.7%
5 7
 
0.7%
4 2
 
0.2%
7 2
 
0.2%
6 1
 
0.1%
Latin
ValueCountFrequency (%)
Y 61
25.0%
C 61
25.0%
A 61
25.0%
W 51
20.9%
M 10
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 83943
98.5%
ASCII 1271
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
4934
 
5.9%
4337
 
5.2%
4241
 
5.1%
4241
 
5.1%
4101
 
4.9%
2969
 
3.5%
2931
 
3.5%
2691
 
3.2%
2587
 
3.1%
2587
 
3.1%
Other values (198) 48324
57.6%
ASCII
ValueCountFrequency (%)
( 387
30.4%
) 387
30.4%
131
 
10.3%
2 69
 
5.4%
Y 61
 
4.8%
C 61
 
4.8%
A 61
 
4.8%
W 51
 
4.0%
1 33
 
2.6%
M 10
 
0.8%
Other values (6) 20
 
1.6%

종목시설명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB
Distinct2756
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T17:27:02.190672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length5.4516
Min length2

Characters and Unicode

Total characters54516
Distinct characters471
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1812 ?
Unique (%)18.1%

Sample

1st row발레
2nd row패키지
3rd row수영(45000)
4th row아쿠아로빅
5th row수영
ValueCountFrequency (%)
수영 1942
 
18.0%
헬스 293
 
2.7%
골프 293
 
2.7%
요가 288
 
2.7%
배드민턴 192
 
1.8%
에어로빅 148
 
1.4%
테니스 146
 
1.4%
탁구 124
 
1.1%
성인수영 112
 
1.0%
아쿠아로빅 107
 
1.0%
Other values (2698) 7153
66.2%
2023-12-11T17:27:02.741114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4010
 
7.4%
3708
 
6.8%
2288
 
4.2%
) 1697
 
3.1%
( 1614
 
3.0%
0 1057
 
1.9%
1 965
 
1.8%
876
 
1.6%
849
 
1.6%
769
 
1.4%
Other values (461) 36683
67.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42819
78.5%
Decimal Number 4051
 
7.4%
Close Punctuation 1703
 
3.1%
Open Punctuation 1620
 
3.0%
Uppercase Letter 1553
 
2.8%
Space Separator 849
 
1.6%
Dash Punctuation 723
 
1.3%
Other Punctuation 592
 
1.1%
Math Symbol 448
 
0.8%
Lowercase Letter 87
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4010
 
9.4%
3708
 
8.7%
2288
 
5.3%
876
 
2.0%
769
 
1.8%
768
 
1.8%
766
 
1.8%
758
 
1.8%
742
 
1.7%
682
 
1.6%
Other values (401) 27452
64.1%
Uppercase Letter
ValueCountFrequency (%)
A 531
34.2%
B 405
26.1%
C 226
14.6%
D 99
 
6.4%
E 79
 
5.1%
P 55
 
3.5%
F 43
 
2.8%
S 20
 
1.3%
G 15
 
1.0%
R 14
 
0.9%
Other values (9) 66
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
e 27
31.0%
v 12
13.8%
l 12
13.8%
c 6
 
6.9%
i 6
 
6.9%
s 5
 
5.7%
d 5
 
5.7%
b 3
 
3.4%
p 3
 
3.4%
m 2
 
2.3%
Other values (5) 6
 
6.9%
Decimal Number
ValueCountFrequency (%)
0 1057
26.1%
1 965
23.8%
3 645
15.9%
2 445
11.0%
6 224
 
5.5%
5 206
 
5.1%
4 178
 
4.4%
7 156
 
3.9%
8 93
 
2.3%
9 82
 
2.0%
Other Punctuation
ValueCountFrequency (%)
: 325
54.9%
/ 142
24.0%
. 93
 
15.7%
& 18
 
3.0%
' 9
 
1.5%
! 3
 
0.5%
* 2
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 1697
99.6%
] 6
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 1614
99.6%
[ 6
 
0.4%
Math Symbol
ValueCountFrequency (%)
+ 261
58.3%
~ 187
41.7%
Space Separator
ValueCountFrequency (%)
849
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 723
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 71
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42798
78.5%
Common 10057
 
18.4%
Latin 1640
 
3.0%
Han 21
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4010
 
9.4%
3708
 
8.7%
2288
 
5.3%
876
 
2.0%
769
 
1.8%
768
 
1.8%
766
 
1.8%
758
 
1.8%
742
 
1.7%
682
 
1.6%
Other values (399) 27431
64.1%
Latin
ValueCountFrequency (%)
A 531
32.4%
B 405
24.7%
C 226
13.8%
D 99
 
6.0%
E 79
 
4.8%
P 55
 
3.4%
F 43
 
2.6%
e 27
 
1.6%
S 20
 
1.2%
G 15
 
0.9%
Other values (24) 140
 
8.5%
Common
ValueCountFrequency (%)
) 1697
16.9%
( 1614
16.0%
0 1057
10.5%
1 965
9.6%
849
8.4%
- 723
7.2%
3 645
 
6.4%
2 445
 
4.4%
: 325
 
3.2%
+ 261
 
2.6%
Other values (16) 1476
14.7%
Han
ValueCountFrequency (%)
18
85.7%
3
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42798
78.5%
ASCII 11697
 
21.5%
CJK Compat Ideographs 18
 
< 0.1%
CJK 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
4010
 
9.4%
3708
 
8.7%
2288
 
5.3%
876
 
2.0%
769
 
1.8%
768
 
1.8%
766
 
1.8%
758
 
1.8%
742
 
1.7%
682
 
1.6%
Other values (399) 27431
64.1%
ASCII
ValueCountFrequency (%)
) 1697
14.5%
( 1614
13.8%
0 1057
 
9.0%
1 965
 
8.2%
849
 
7.3%
- 723
 
6.2%
3 645
 
5.5%
A 531
 
4.5%
2 445
 
3.8%
B 405
 
3.5%
Other values (50) 2766
23.6%
CJK Compat Ideographs
ValueCountFrequency (%)
18
100.0%
CJK
ValueCountFrequency (%)
3
100.0%

종목명
Categorical

Distinct47
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
수영
4525 
댄스
811 
헬스
581 
요가
543 
골프
 
431
Other values (42)
3109 

Length

Max length11
Median length2
Mean length2.4708
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row발레
2nd row수영
3rd row수영
4th row아쿠아로빅
5th row수영

Common Values

ValueCountFrequency (%)
수영 4525
45.2%
댄스 811
 
8.1%
헬스 581
 
5.8%
요가 543
 
5.4%
골프 431
 
4.3%
에어로빅 288
 
2.9%
스쿼시 269
 
2.7%
배드민턴 258
 
2.6%
발레 216
 
2.2%
아쿠아로빅 192
 
1.9%
Other values (37) 1886
18.9%

Length

2023-12-11T17:27:02.982434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수영 4525
45.2%
댄스 811
 
8.1%
헬스 581
 
5.8%
요가 543
 
5.4%
골프 431
 
4.3%
에어로빅 288
 
2.9%
스쿼시 269
 
2.7%
배드민턴 258
 
2.6%
발레 216
 
2.2%
아쿠아로빅 192
 
1.9%
Other values (37) 1886
18.9%

장소
Text

MISSING 

Distinct256
Distinct (%)6.9%
Missing6268
Missing (%)62.7%
Memory size156.2 KiB
2023-12-11T17:27:03.324897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length6.528403
Min length1

Characters and Unicode

Total characters24364
Distinct characters201
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)1.7%

Sample

1st row복합문화공간
2nd row지하1층수영장
3rd row수영장
4th row지하2층수영장
5th row지하2층수영장
ValueCountFrequency (%)
강의실없음 572
 
13.1%
수영장 445
 
10.2%
지하2층수영장 292
 
6.7%
지하1층수영장 273
 
6.3%
강당 169
 
3.9%
3층 148
 
3.4%
지상1층수영장 121
 
2.8%
지하1층 111
 
2.5%
헬스장 96
 
2.2%
큰둠벙(수영장 89
 
2.0%
Other values (221) 2041
46.8%
2023-12-11T17:27:03.811285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1885
 
7.7%
1780
 
7.3%
1 1598
 
6.6%
1426
 
5.9%
1319
 
5.4%
1316
 
5.4%
919
 
3.8%
890
 
3.7%
858
 
3.5%
0 857
 
3.5%
Other values (191) 11516
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17309
71.0%
Decimal Number 4137
 
17.0%
Uppercase Letter 1744
 
7.2%
Space Separator 647
 
2.7%
Close Punctuation 198
 
0.8%
Open Punctuation 198
 
0.8%
Dash Punctuation 93
 
0.4%
Other Punctuation 20
 
0.1%
Lowercase Letter 18
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1885
 
10.9%
1780
 
10.3%
1426
 
8.2%
1319
 
7.6%
1316
 
7.6%
919
 
5.3%
890
 
5.1%
858
 
5.0%
572
 
3.3%
572
 
3.3%
Other values (151) 5772
33.3%
Uppercase Letter
ValueCountFrequency (%)
U 423
24.3%
M 262
15.0%
P 261
15.0%
S 181
10.4%
G 120
 
6.9%
C 106
 
6.1%
B 62
 
3.6%
Y 60
 
3.4%
O 44
 
2.5%
D 44
 
2.5%
Other values (11) 181
10.4%
Decimal Number
ValueCountFrequency (%)
1 1598
38.6%
0 857
20.7%
2 668
16.1%
3 498
 
12.0%
5 154
 
3.7%
4 142
 
3.4%
9 86
 
2.1%
7 86
 
2.1%
8 26
 
0.6%
6 22
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
e 6
33.3%
n 6
33.3%
o 6
33.3%
Other Punctuation
ValueCountFrequency (%)
. 19
95.0%
/ 1
 
5.0%
Space Separator
ValueCountFrequency (%)
647
100.0%
Close Punctuation
ValueCountFrequency (%)
) 198
100.0%
Open Punctuation
ValueCountFrequency (%)
( 198
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 93
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17309
71.0%
Common 5293
 
21.7%
Latin 1762
 
7.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1885
 
10.9%
1780
 
10.3%
1426
 
8.2%
1319
 
7.6%
1316
 
7.6%
919
 
5.3%
890
 
5.1%
858
 
5.0%
572
 
3.3%
572
 
3.3%
Other values (151) 5772
33.3%
Latin
ValueCountFrequency (%)
U 423
24.0%
M 262
14.9%
P 261
14.8%
S 181
10.3%
G 120
 
6.8%
C 106
 
6.0%
B 62
 
3.5%
Y 60
 
3.4%
O 44
 
2.5%
D 44
 
2.5%
Other values (14) 199
11.3%
Common
ValueCountFrequency (%)
1 1598
30.2%
0 857
16.2%
2 668
12.6%
647
12.2%
3 498
 
9.4%
) 198
 
3.7%
( 198
 
3.7%
5 154
 
2.9%
4 142
 
2.7%
- 93
 
1.8%
Other values (6) 240
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17309
71.0%
ASCII 7055
29.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1885
 
10.9%
1780
 
10.3%
1426
 
8.2%
1319
 
7.6%
1316
 
7.6%
919
 
5.3%
890
 
5.1%
858
 
5.0%
572
 
3.3%
572
 
3.3%
Other values (151) 5772
33.3%
ASCII
ValueCountFrequency (%)
1 1598
22.7%
0 857
12.1%
2 668
9.5%
647
9.2%
3 498
 
7.1%
U 423
 
6.0%
M 262
 
3.7%
P 261
 
3.7%
) 198
 
2.8%
( 198
 
2.8%
Other values (30) 1445
20.5%

주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

주차면(면)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

문의전화
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

FAX
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

이메일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

반명
Text

MISSING 

Distinct4274
Distinct (%)62.2%
Missing3124
Missing (%)31.2%
Memory size156.2 KiB
2023-12-11T17:27:04.213871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length7.1687027
Min length1

Characters and Unicode

Total characters49292
Distinct characters528
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

Unique3328 ?
Unique (%)48.4%

Sample

1st rowA
2nd row어머니건강교실C
3rd row어머니수영-10시 월수금(선반)
4th row아쿠아로빅(수중에어로빅)
5th row직장인A
ValueCountFrequency (%)
자유수영 156
 
1.8%
a 110
 
1.3%
배드민턴 103
 
1.2%
b 89
 
1.0%
성인수영 85
 
1.0%
초급 77
 
0.9%
헬스 77
 
0.9%
66
 
0.8%
교실 64
 
0.7%
중급 56
 
0.6%
Other values (4086) 7734
89.8%
2023-12-11T17:27:04.774281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1951
 
4.0%
1827
 
3.7%
1620
 
3.3%
) 1618
 
3.3%
( 1598
 
3.2%
1468
 
3.0%
1 1392
 
2.8%
A 1096
 
2.2%
0 1068
 
2.2%
B 958
 
1.9%
Other values (518) 34696
70.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34092
69.2%
Decimal Number 4955
 
10.1%
Uppercase Letter 3239
 
6.6%
Space Separator 1827
 
3.7%
Close Punctuation 1624
 
3.3%
Open Punctuation 1604
 
3.3%
Dash Punctuation 940
 
1.9%
Other Punctuation 478
 
1.0%
Math Symbol 401
 
0.8%
Lowercase Letter 98
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1951
 
5.7%
1620
 
4.8%
1468
 
4.3%
945
 
2.8%
776
 
2.3%
769
 
2.3%
681
 
2.0%
653
 
1.9%
647
 
1.9%
645
 
1.9%
Other values (449) 23937
70.2%
Uppercase Letter
ValueCountFrequency (%)
A 1096
33.8%
B 958
29.6%
C 447
13.8%
E 222
 
6.9%
D 216
 
6.7%
F 108
 
3.3%
G 35
 
1.1%
H 25
 
0.8%
I 20
 
0.6%
L 17
 
0.5%
Other values (12) 95
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
e 21
21.4%
p 14
14.3%
v 8
 
8.2%
l 8
 
8.2%
m 6
 
6.1%
b 6
 
6.1%
y 5
 
5.1%
d 5
 
5.1%
u 4
 
4.1%
i 4
 
4.1%
Other values (8) 17
17.3%
Decimal Number
ValueCountFrequency (%)
1 1392
28.1%
0 1068
21.6%
2 662
13.4%
3 503
 
10.2%
6 337
 
6.8%
7 315
 
6.4%
4 214
 
4.3%
5 178
 
3.6%
9 175
 
3.5%
8 111
 
2.2%
Other Punctuation
ValueCountFrequency (%)
: 298
62.3%
/ 98
 
20.5%
& 48
 
10.0%
. 14
 
2.9%
? 13
 
2.7%
* 6
 
1.3%
' 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 215
53.6%
+ 172
42.9%
= 12
 
3.0%
< 1
 
0.2%
> 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 1618
99.6%
] 6
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 1598
99.6%
[ 6
 
0.4%
Space Separator
ValueCountFrequency (%)
1827
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 940
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34092
69.2%
Common 11863
 
24.1%
Latin 3337
 
6.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1951
 
5.7%
1620
 
4.8%
1468
 
4.3%
945
 
2.8%
776
 
2.3%
769
 
2.3%
681
 
2.0%
653
 
1.9%
647
 
1.9%
645
 
1.9%
Other values (449) 23937
70.2%
Latin
ValueCountFrequency (%)
A 1096
32.8%
B 958
28.7%
C 447
13.4%
E 222
 
6.7%
D 216
 
6.5%
F 108
 
3.2%
G 35
 
1.0%
H 25
 
0.7%
e 21
 
0.6%
I 20
 
0.6%
Other values (30) 189
 
5.7%
Common
ValueCountFrequency (%)
1827
15.4%
) 1618
13.6%
( 1598
13.5%
1 1392
11.7%
0 1068
9.0%
- 940
7.9%
2 662
 
5.6%
3 503
 
4.2%
6 337
 
2.8%
7 315
 
2.7%
Other values (19) 1603
13.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34091
69.2%
ASCII 15200
30.8%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1951
 
5.7%
1620
 
4.8%
1468
 
4.3%
945
 
2.8%
776
 
2.3%
769
 
2.3%
681
 
2.0%
653
 
1.9%
647
 
1.9%
645
 
1.9%
Other values (448) 23936
70.2%
ASCII
ValueCountFrequency (%)
1827
12.0%
) 1618
10.6%
( 1598
10.5%
1 1392
 
9.2%
A 1096
 
7.2%
0 1068
 
7.0%
B 958
 
6.3%
- 940
 
6.2%
2 662
 
4.4%
3 503
 
3.3%
Other values (59) 3538
23.3%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

레벨
Text

MISSING 

Distinct96
Distinct (%)10.6%
Missing9092
Missing (%)90.9%
Memory size156.2 KiB
2023-12-11T17:27:05.099790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length2
Mean length2.715859
Min length1

Characters and Unicode

Total characters2466
Distinct characters121
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)4.8%

Sample

1st row중급
2nd row(초급)
3rd row01
4th row자유이용
5th row01
ValueCountFrequency (%)
초급 192
20.6%
중급 170
18.2%
01 119
12.8%
상급 69
 
7.4%
고급 62
 
6.6%
성인 60
 
6.4%
기초 30
 
3.2%
자유이용 17
 
1.8%
초/중/상급 12
 
1.3%
초/중/고급 9
 
1.0%
Other values (92) 193
20.7%
2023-12-11T17:27:05.554211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
569
23.1%
316
12.8%
252
10.2%
150
 
6.1%
1 128
 
5.2%
0 119
 
4.8%
/ 87
 
3.5%
74
 
3.0%
73
 
3.0%
69
 
2.8%
Other values (111) 629
25.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1959
79.4%
Decimal Number 270
 
10.9%
Other Punctuation 106
 
4.3%
Space Separator 64
 
2.6%
Math Symbol 20
 
0.8%
Close Punctuation 19
 
0.8%
Open Punctuation 19
 
0.8%
Dash Punctuation 5
 
0.2%
Uppercase Letter 3
 
0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
569
29.0%
316
16.1%
252
12.9%
150
 
7.7%
74
 
3.8%
73
 
3.7%
69
 
3.5%
42
 
2.1%
32
 
1.6%
29
 
1.5%
Other values (88) 353
18.0%
Decimal Number
ValueCountFrequency (%)
1 128
47.4%
0 119
44.1%
6 7
 
2.6%
5 6
 
2.2%
7 4
 
1.5%
3 2
 
0.7%
4 2
 
0.7%
2 2
 
0.7%
Other Punctuation
ValueCountFrequency (%)
/ 87
82.1%
. 16
 
15.1%
: 2
 
1.9%
? 1
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
M 1
33.3%
A 1
33.3%
B 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 16
84.2%
] 3
 
15.8%
Open Punctuation
ValueCountFrequency (%)
( 15
78.9%
[ 4
 
21.1%
Space Separator
ValueCountFrequency (%)
64
100.0%
Math Symbol
ValueCountFrequency (%)
~ 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1959
79.4%
Common 504
 
20.4%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
569
29.0%
316
16.1%
252
12.9%
150
 
7.7%
74
 
3.8%
73
 
3.7%
69
 
3.5%
42
 
2.1%
32
 
1.6%
29
 
1.5%
Other values (88) 353
18.0%
Common
ValueCountFrequency (%)
1 128
25.4%
0 119
23.6%
/ 87
17.3%
64
12.7%
~ 20
 
4.0%
. 16
 
3.2%
) 16
 
3.2%
( 15
 
3.0%
6 7
 
1.4%
5 6
 
1.2%
Other values (10) 26
 
5.2%
Latin
ValueCountFrequency (%)
M 1
33.3%
A 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1959
79.4%
ASCII 507
 
20.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
569
29.0%
316
16.1%
252
12.9%
150
 
7.7%
74
 
3.8%
73
 
3.7%
69
 
3.5%
42
 
2.1%
32
 
1.6%
29
 
1.5%
Other values (88) 353
18.0%
ASCII
ValueCountFrequency (%)
1 128
25.2%
0 119
23.5%
/ 87
17.2%
64
12.6%
~ 20
 
3.9%
. 16
 
3.2%
) 16
 
3.2%
( 15
 
3.0%
6 7
 
1.4%
5 6
 
1.2%
Other values (13) 29
 
5.7%

대상
Text

MISSING 

Distinct342
Distinct (%)4.2%
Missing1894
Missing (%)18.9%
Memory size156.2 KiB
2023-12-11T17:27:05.829456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length27
Mean length3.9302985
Min length2

Characters and Unicode

Total characters31859
Distinct characters143
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique166 ?
Unique (%)2.0%

Sample

1st row어린이(초1~3학년)
2nd row성인여성
3rd row성인
4th row없음
5th row성인
ValueCountFrequency (%)
성인 3054
32.8%
어린이 1014
 
10.9%
청소년 750
 
8.1%
누구나 630
 
6.8%
청소년성인 357
 
3.8%
유아 270
 
2.9%
노인 261
 
2.8%
이상 260
 
2.8%
60세 222
 
2.4%
145
 
1.6%
Other values (328) 2335
25.1%
2023-12-11T17:27:06.576925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4793
15.0%
4349
 
13.7%
1949
 
6.1%
1596
 
5.0%
1593
 
5.0%
1552
 
4.9%
1476
 
4.6%
1472
 
4.6%
1197
 
3.8%
( 954
 
3.0%
Other values (133) 10928
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27321
85.8%
Space Separator 1197
 
3.8%
Decimal Number 1145
 
3.6%
Open Punctuation 954
 
3.0%
Close Punctuation 953
 
3.0%
Math Symbol 203
 
0.6%
Other Punctuation 59
 
0.2%
Dash Punctuation 24
 
0.1%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4793
17.5%
4349
15.9%
1949
 
7.1%
1596
 
5.8%
1593
 
5.8%
1552
 
5.7%
1476
 
5.4%
1472
 
5.4%
759
 
2.8%
669
 
2.4%
Other values (110) 7113
26.0%
Decimal Number
ValueCountFrequency (%)
6 401
35.0%
0 287
25.1%
5 126
 
11.0%
7 101
 
8.8%
1 65
 
5.7%
3 53
 
4.6%
4 42
 
3.7%
2 35
 
3.1%
8 29
 
2.5%
9 6
 
0.5%
Other Punctuation
ValueCountFrequency (%)
/ 48
81.4%
: 5
 
8.5%
% 3
 
5.1%
. 2
 
3.4%
? 1
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
A 1
33.3%
P 1
33.3%
Space Separator
ValueCountFrequency (%)
1197
100.0%
Open Punctuation
ValueCountFrequency (%)
( 954
100.0%
Close Punctuation
ValueCountFrequency (%)
) 953
100.0%
Math Symbol
ValueCountFrequency (%)
~ 203
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27321
85.8%
Common 4535
 
14.2%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4793
17.5%
4349
15.9%
1949
 
7.1%
1596
 
5.8%
1593
 
5.8%
1552
 
5.7%
1476
 
5.4%
1472
 
5.4%
759
 
2.8%
669
 
2.4%
Other values (110) 7113
26.0%
Common
ValueCountFrequency (%)
1197
26.4%
( 954
21.0%
) 953
21.0%
6 401
 
8.8%
0 287
 
6.3%
~ 203
 
4.5%
5 126
 
2.8%
7 101
 
2.2%
1 65
 
1.4%
3 53
 
1.2%
Other values (10) 195
 
4.3%
Latin
ValueCountFrequency (%)
T 1
33.3%
A 1
33.3%
P 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27321
85.8%
ASCII 4538
 
14.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
4793
17.5%
4349
15.9%
1949
 
7.1%
1596
 
5.8%
1593
 
5.8%
1552
 
5.7%
1476
 
5.4%
1472
 
5.4%
759
 
2.8%
669
 
2.4%
Other values (110) 7113
26.0%
ASCII
ValueCountFrequency (%)
1197
26.4%
( 954
21.0%
) 953
21.0%
6 401
 
8.8%
0 287
 
6.3%
~ 203
 
4.5%
5 126
 
2.8%
7 101
 
2.2%
1 65
 
1.4%
3 53
 
1.2%
Other values (13) 198
 
4.4%

기간
Text

MISSING 

Distinct129
Distinct (%)1.9%
Missing3197
Missing (%)32.0%
Memory size156.2 KiB
2023-12-11T17:27:06.831349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length1
Mean length2.9529619
Min length1

Characters and Unicode

Total characters20089
Distinct characters133
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)0.8%

Sample

1st row2010/12/01~2010/12/31
2nd row매월1일~말일
3rd row1
4th row1
5th row1
ValueCountFrequency (%)
1 3685
45.9%
매월 902
 
11.2%
1일~말일 642
 
8.0%
매월1일~말일 528
 
6.6%
3 520
 
6.5%
1개월 312
 
3.9%
개강 208
 
2.6%
3개월 141
 
1.8%
강좌별 96
 
1.2%
확인 96
 
1.2%
Other values (145) 904
 
11.3%
2023-12-11T17:27:07.330497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 5663
28.2%
2629
13.1%
2123
 
10.6%
1511
 
7.5%
~ 1350
 
6.7%
1285
 
6.4%
1250
 
6.2%
740
 
3.7%
3 707
 
3.5%
317
 
1.6%
Other values (123) 2514
12.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10155
50.6%
Decimal Number 7041
35.0%
Math Symbol 1350
 
6.7%
Space Separator 1250
 
6.2%
Other Punctuation 173
 
0.9%
Open Punctuation 50
 
0.2%
Close Punctuation 50
 
0.2%
Dash Punctuation 20
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2629
25.9%
2123
20.9%
1511
14.9%
1285
12.7%
740
 
7.3%
317
 
3.1%
100
 
1.0%
96
 
0.9%
96
 
0.9%
96
 
0.9%
Other values (100) 1162
11.4%
Decimal Number
ValueCountFrequency (%)
1 5663
80.4%
3 707
 
10.0%
2 266
 
3.8%
0 197
 
2.8%
6 111
 
1.6%
7 41
 
0.6%
4 15
 
0.2%
5 14
 
0.2%
8 14
 
0.2%
9 13
 
0.2%
Other Punctuation
ValueCountFrequency (%)
/ 92
53.2%
. 55
31.8%
: 10
 
5.8%
? 7
 
4.0%
* 5
 
2.9%
% 4
 
2.3%
Open Punctuation
ValueCountFrequency (%)
( 49
98.0%
[ 1
 
2.0%
Close Punctuation
ValueCountFrequency (%)
) 49
98.0%
] 1
 
2.0%
Math Symbol
ValueCountFrequency (%)
~ 1350
100.0%
Space Separator
ValueCountFrequency (%)
1250
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10155
50.6%
Common 9934
49.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2629
25.9%
2123
20.9%
1511
14.9%
1285
12.7%
740
 
7.3%
317
 
3.1%
100
 
1.0%
96
 
0.9%
96
 
0.9%
96
 
0.9%
Other values (100) 1162
11.4%
Common
ValueCountFrequency (%)
1 5663
57.0%
~ 1350
 
13.6%
1250
 
12.6%
3 707
 
7.1%
2 266
 
2.7%
0 197
 
2.0%
6 111
 
1.1%
/ 92
 
0.9%
. 55
 
0.6%
( 49
 
0.5%
Other values (13) 194
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10155
50.6%
ASCII 9934
49.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 5663
57.0%
~ 1350
 
13.6%
1250
 
12.6%
3 707
 
7.1%
2 266
 
2.7%
0 197
 
2.0%
6 111
 
1.1%
/ 92
 
0.9%
. 55
 
0.6%
( 49
 
0.5%
Other values (13) 194
 
2.0%
Hangul
ValueCountFrequency (%)
2629
25.9%
2123
20.9%
1511
14.9%
1285
12.7%
740
 
7.3%
317
 
3.1%
100
 
1.0%
96
 
0.9%
96
 
0.9%
96
 
0.9%
Other values (100) 1162
11.4%

요일
Text

MISSING 

Distinct56
Distinct (%)0.6%
Missing1186
Missing (%)11.9%
Memory size156.2 KiB
2023-12-11T17:27:07.581697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length3.1687089
Min length1

Characters and Unicode

Total characters27929
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)0.1%

Sample

1st row월수
2nd row월수금
3rd row월수금
4th row화목
5th row월화수목금
ValueCountFrequency (%)
월수금 2456
27.9%
화목 1507
17.1%
월화수목금 1054
12.0%
화목토 832
 
9.4%
월화수목금토 688
 
7.8%
474
 
5.4%
월화수목금토일 338
 
3.8%
160
 
1.8%
월수 152
 
1.7%
토일 129
 
1.5%
Other values (46) 1024
11.6%
2023-12-11T17:27:08.001433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5044
18.1%
4994
17.9%
4980
17.8%
4844
17.3%
4818
17.3%
2562
9.2%
687
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27929
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5044
18.1%
4994
17.9%
4980
17.8%
4844
17.3%
4818
17.3%
2562
9.2%
687
 
2.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27929
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5044
18.1%
4994
17.9%
4980
17.8%
4844
17.3%
4818
17.3%
2562
9.2%
687
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27929
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
5044
18.1%
4994
17.9%
4980
17.8%
4844
17.3%
4818
17.3%
2562
9.2%
687
 
2.5%

진행시간(1회)
Text

MISSING 

Distinct1020
Distinct (%)10.9%
Missing650
Missing (%)6.5%
Memory size156.2 KiB
2023-12-11T17:27:08.281029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length133
Median length11
Mean length11.943529
Min length2

Characters and Unicode

Total characters111672
Distinct characters140
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique501 ?
Unique (%)5.4%

Sample

1st row17:00~17:50
2nd row09:00~10:50
3rd row10:00~10:50
4th row08:00-08:50
5th row12:00~12:50
ValueCountFrequency (%)
460
 
4.3%
15:00~15:50 420
 
3.9%
19:00~19:50 378
 
3.5%
16:00~16:50 374
 
3.5%
20:00~20:50 370
 
3.4%
06:00~06:50 369
 
3.4%
07:00~07:50 358
 
3.3%
17:00~17:50 354
 
3.3%
11:00~11:50 352
 
3.3%
10:00~10:50 348
 
3.2%
Other values (975) 7006
64.9%
2023-12-11T17:27:08.814131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 38067
34.1%
: 19580
17.5%
1 14220
 
12.7%
~ 9102
 
8.2%
5 8213
 
7.4%
2 4817
 
4.3%
6 3059
 
2.7%
9 2550
 
2.3%
7 2362
 
2.1%
8 1693
 
1.5%
Other values (130) 8009
 
7.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 77848
69.7%
Other Punctuation 19826
 
17.8%
Math Symbol 9114
 
8.2%
Other Letter 1991
 
1.8%
Space Separator 1564
 
1.4%
Dash Punctuation 729
 
0.7%
Open Punctuation 236
 
0.2%
Close Punctuation 226
 
0.2%
Uppercase Letter 127
 
0.1%
Connector Punctuation 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
416
20.9%
200
 
10.0%
119
 
6.0%
113
 
5.7%
103
 
5.2%
86
 
4.3%
74
 
3.7%
69
 
3.5%
59
 
3.0%
45
 
2.3%
Other values (102) 707
35.5%
Decimal Number
ValueCountFrequency (%)
0 38067
48.9%
1 14220
 
18.3%
5 8213
 
10.6%
2 4817
 
6.2%
6 3059
 
3.9%
9 2550
 
3.3%
7 2362
 
3.0%
8 1693
 
2.2%
3 1581
 
2.0%
4 1286
 
1.7%
Other Punctuation
ValueCountFrequency (%)
: 19580
98.8%
/ 209
 
1.1%
; 12
 
0.1%
? 10
 
0.1%
. 9
 
< 0.1%
* 6
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
M 63
49.6%
P 39
30.7%
A 25
 
19.7%
Math Symbol
ValueCountFrequency (%)
~ 9102
99.9%
= 12
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 226
95.8%
[ 10
 
4.2%
Close Punctuation
ValueCountFrequency (%)
) 216
95.6%
] 10
 
4.4%
Space Separator
ValueCountFrequency (%)
1564
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 729
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 109554
98.1%
Hangul 1991
 
1.8%
Latin 127
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
416
20.9%
200
 
10.0%
119
 
6.0%
113
 
5.7%
103
 
5.2%
86
 
4.3%
74
 
3.7%
69
 
3.5%
59
 
3.0%
45
 
2.3%
Other values (102) 707
35.5%
Common
ValueCountFrequency (%)
0 38067
34.7%
: 19580
17.9%
1 14220
 
13.0%
~ 9102
 
8.3%
5 8213
 
7.5%
2 4817
 
4.4%
6 3059
 
2.8%
9 2550
 
2.3%
7 2362
 
2.2%
8 1693
 
1.5%
Other values (15) 5891
 
5.4%
Latin
ValueCountFrequency (%)
M 63
49.6%
P 39
30.7%
A 25
 
19.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 109681
98.2%
Hangul 1991
 
1.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 38067
34.7%
: 19580
17.9%
1 14220
 
13.0%
~ 9102
 
8.3%
5 8213
 
7.5%
2 4817
 
4.4%
6 3059
 
2.8%
9 2550
 
2.3%
7 2362
 
2.2%
8 1693
 
1.5%
Other values (18) 6018
 
5.5%
Hangul
ValueCountFrequency (%)
416
20.9%
200
 
10.0%
119
 
6.0%
113
 
5.7%
103
 
5.2%
86
 
4.3%
74
 
3.7%
69
 
3.5%
59
 
3.0%
45
 
2.3%
Other values (102) 707
35.5%

수강료(원)
Real number (ℝ)

ZEROS 

Distinct513
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60094.353
Minimum0
Maximum1680000
Zeros600
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T17:27:09.026744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q130000
median43000
Q360000
95-th percentile154000
Maximum1680000
Range1680000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation92111.756
Coefficient of variation (CV)1.5327855
Kurtosis95.881818
Mean60094.353
Median Absolute Deviation (MAD)14100
Skewness8.317128
Sum6.0094353 × 108
Variance8.4845755 × 109
MonotonicityNot monotonic
2023-12-11T17:27:09.196081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 600
 
6.0%
45000 503
 
5.0%
30000 433
 
4.3%
40000 397
 
4.0%
33000 315
 
3.1%
50000 282
 
2.8%
35000 263
 
2.6%
44000 253
 
2.5%
60000 220
 
2.2%
70000 170
 
1.7%
Other values (503) 6564
65.6%
ValueCountFrequency (%)
0 600
6.0%
1 1
 
< 0.1%
500 2
 
< 0.1%
780 1
 
< 0.1%
800 1
 
< 0.1%
1000 1
 
< 0.1%
1100 1
 
< 0.1%
1200 1
 
< 0.1%
1300 2
 
< 0.1%
1400 1
 
< 0.1%
ValueCountFrequency (%)
1680000 1
 
< 0.1%
1644000 1
 
< 0.1%
1500000 4
< 0.1%
1370000 1
 
< 0.1%
1320000 2
< 0.1%
1280000 1
 
< 0.1%
1214000 1
 
< 0.1%
1200000 4
< 0.1%
1176000 1
 
< 0.1%
1150800 1
 
< 0.1%

프로그램소개
Text

MISSING 

Distinct1302
Distinct (%)39.1%
Missing6668
Missing (%)66.7%
Memory size156.2 KiB
2023-12-11T17:27:09.460289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length901
Median length280
Mean length78.906363
Min length1

Characters and Unicode

Total characters262916
Distinct characters885
Distinct categories16 ?
Distinct scripts4 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique785 ?
Unique (%)23.6%

Sample

1st row발레복슈즈 개별준비 또는 강사 문의
2nd row평영이상 가능 자 단계적 수영지도 에어로빅
3rd row4주째 일요수영 무료입장 (토요일은불가)
4th row월?수?금 지도수영/화?목 자유수영/토 자유수영 또는 헬스 ▲ 수영 수중게임 수중체조 체력증진운동영법교정 단계별 영법지도▲ 헬스 스트레칭교육 기초체력단련체성분 분석 개인운동처방 ▲ 체조 조깅 스트레칭 에어로빅 ▲ 토요일 수영 해당반은 자유수영 또는 헬스 선택가능 ※ 자유수영(토) 09:00 ~ 11:50 (어린이 입장불가) 14:00 ~ 17:50 (어린이 입장가능) ※ 헬스(토) 09:00 ~ 17:50
5th row단계식 재즈댄스
ValueCountFrequency (%)
3008
 
5.3%
764
 
1.3%
616
 
1.1%
자유수영 551
 
1.0%
있는 392
 
0.7%
있습니다 322
 
0.6%
강습 315
 
0.6%
237
 
0.4%
가능 221
 
0.4%
할인 208
 
0.4%
Other values (6805) 50070
88.3%
2023-12-11T17:27:09.984641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
55250
 
21.0%
0 5543
 
2.1%
5535
 
2.1%
3800
 
1.4%
2847
 
1.1%
2835
 
1.1%
2817
 
1.1%
2800
 
1.1%
2702
 
1.0%
2626
 
1.0%
Other values (875) 176161
67.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 173930
66.2%
Space Separator 55250
 
21.0%
Decimal Number 14091
 
5.4%
Other Punctuation 7916
 
3.0%
Open Punctuation 2471
 
0.9%
Close Punctuation 2456
 
0.9%
Lowercase Letter 2072
 
0.8%
Dash Punctuation 1953
 
0.7%
Math Symbol 1693
 
0.6%
Uppercase Letter 642
 
0.2%
Other values (6) 442
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5535
 
3.2%
3800
 
2.2%
2847
 
1.6%
2835
 
1.6%
2817
 
1.6%
2800
 
1.6%
2702
 
1.6%
2626
 
1.5%
2564
 
1.5%
2511
 
1.4%
Other values (769) 142893
82.2%
Lowercase Letter
ValueCountFrequency (%)
b 273
13.2%
r 252
12.2%
o 227
11.0%
a 147
 
7.1%
l 120
 
5.8%
t 117
 
5.6%
m 103
 
5.0%
s 102
 
4.9%
g 98
 
4.7%
e 90
 
4.3%
Other values (16) 543
26.2%
Uppercase Letter
ValueCountFrequency (%)
G 104
16.2%
B 72
11.2%
C 67
10.4%
P 55
 
8.6%
L 52
 
8.1%
F 35
 
5.5%
A 32
 
5.0%
O 32
 
5.0%
X 26
 
4.0%
M 25
 
3.9%
Other values (14) 142
22.1%
Other Punctuation
ValueCountFrequency (%)
. 2422
30.6%
: 2124
26.8%
* 1033
13.0%
/ 985
12.4%
? 560
 
7.1%
% 377
 
4.8%
254
 
3.2%
! 97
 
1.2%
' 27
 
0.3%
& 22
 
0.3%
Other values (5) 15
 
0.2%
Decimal Number
ValueCountFrequency (%)
0 5543
39.3%
1 2589
18.4%
5 1381
 
9.8%
2 1308
 
9.3%
3 1220
 
8.7%
6 560
 
4.0%
8 466
 
3.3%
4 384
 
2.7%
7 373
 
2.6%
9 267
 
1.9%
Other Symbol
ValueCountFrequency (%)
140
39.4%
122
34.4%
86
24.2%
3
 
0.8%
2
 
0.6%
1
 
0.3%
1
 
0.3%
Math Symbol
ValueCountFrequency (%)
~ 932
55.1%
> 302
 
17.8%
< 293
 
17.3%
+ 131
 
7.7%
= 34
 
2.0%
| 1
 
0.1%
Other Number
ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 2431
98.4%
[ 40
 
1.6%
Close Punctuation
ValueCountFrequency (%)
) 2416
98.4%
] 40
 
1.6%
Initial Punctuation
ValueCountFrequency (%)
7
70.0%
3
30.0%
Final Punctuation
ValueCountFrequency (%)
7
77.8%
2
 
22.2%
Space Separator
ValueCountFrequency (%)
55250
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1953
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 56
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 173866
66.1%
Common 86272
32.8%
Latin 2714
 
1.0%
Han 64
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5535
 
3.2%
3800
 
2.2%
2847
 
1.6%
2835
 
1.6%
2817
 
1.6%
2800
 
1.6%
2702
 
1.6%
2626
 
1.5%
2564
 
1.5%
2511
 
1.4%
Other values (752) 142829
82.1%
Common
ValueCountFrequency (%)
55250
64.0%
0 5543
 
6.4%
1 2589
 
3.0%
( 2431
 
2.8%
. 2422
 
2.8%
) 2416
 
2.8%
: 2124
 
2.5%
- 1953
 
2.3%
5 1381
 
1.6%
2 1308
 
1.5%
Other values (46) 8855
 
10.3%
Latin
ValueCountFrequency (%)
b 273
 
10.1%
r 252
 
9.3%
o 227
 
8.4%
a 147
 
5.4%
l 120
 
4.4%
t 117
 
4.3%
G 104
 
3.8%
m 103
 
3.8%
s 102
 
3.8%
g 98
 
3.6%
Other values (40) 1171
43.1%
Han
ValueCountFrequency (%)
12
18.8%
10
15.6%
4
 
6.2%
4
 
6.2%
4
 
6.2%
4
 
6.2%
4
 
6.2%
4
 
6.2%
2
 
3.1%
2
 
3.1%
Other values (7) 14
21.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 173562
66.0%
ASCII 88350
33.6%
Compat Jamo 304
 
0.1%
Punctuation 274
 
0.1%
Geometric Shapes 230
 
0.1%
Misc Symbols 125
 
< 0.1%
CJK 62
 
< 0.1%
Enclosed Alphanum 6
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
55250
62.5%
0 5543
 
6.3%
1 2589
 
2.9%
( 2431
 
2.8%
. 2422
 
2.7%
) 2416
 
2.7%
: 2124
 
2.4%
- 1953
 
2.2%
5 1381
 
1.6%
2 1308
 
1.5%
Other values (76) 10933
 
12.4%
Hangul
ValueCountFrequency (%)
5535
 
3.2%
3800
 
2.2%
2847
 
1.6%
2835
 
1.6%
2817
 
1.6%
2800
 
1.6%
2702
 
1.6%
2626
 
1.5%
2564
 
1.5%
2511
 
1.4%
Other values (749) 142525
82.1%
Compat Jamo
ValueCountFrequency (%)
258
84.9%
35
 
11.5%
11
 
3.6%
Punctuation
ValueCountFrequency (%)
254
92.7%
7
 
2.6%
7
 
2.6%
3
 
1.1%
2
 
0.7%
1
 
0.4%
Geometric Shapes
ValueCountFrequency (%)
140
60.9%
86
37.4%
2
 
0.9%
1
 
0.4%
1
 
0.4%
Misc Symbols
ValueCountFrequency (%)
122
97.6%
3
 
2.4%
CJK
ValueCountFrequency (%)
12
19.4%
10
16.1%
4
 
6.5%
4
 
6.5%
4
 
6.5%
4
 
6.5%
4
 
6.5%
4
 
6.5%
2
 
3.2%
2
 
3.2%
Other values (6) 12
19.4%
CJK Compat Ideographs
ValueCountFrequency (%)
2
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
None
ValueCountFrequency (%)
1
100.0%

전체정원수
Text

MISSING 

Distinct179
Distinct (%)1.9%
Missing774
Missing (%)7.7%
Memory size156.2 KiB
2023-12-11T17:27:10.279159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length2
Mean length1.8607197
Min length1

Characters and Unicode

Total characters17167
Distinct characters75
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)0.7%

Sample

1st row25
2nd row80
3rd row65
4th row120
5th row0
ValueCountFrequency (%)
0 2432
25.7%
20 941
 
9.9%
30 808
 
8.5%
25 559
 
5.9%
10 500
 
5.3%
50 387
 
4.1%
40 383
 
4.0%
90 288
 
3.0%
8 284
 
3.0%
15 269
 
2.8%
Other values (175) 2615
27.6%
2023-12-11T17:27:10.823888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6853
39.9%
2 2172
 
12.7%
5 1840
 
10.7%
1 1570
 
9.1%
3 1273
 
7.4%
4 514
 
3.0%
6 487
 
2.8%
8 446
 
2.6%
9 368
 
2.1%
7 264
 
1.5%
Other values (65) 1380
 
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15787
92.0%
Other Letter 804
 
4.7%
Space Separator 256
 
1.5%
Other Punctuation 137
 
0.8%
Math Symbol 64
 
0.4%
Close Punctuation 59
 
0.3%
Open Punctuation 59
 
0.3%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
128
15.9%
128
15.9%
127
15.8%
62
7.7%
58
7.2%
58
7.2%
58
7.2%
31
 
3.9%
26
 
3.2%
12
 
1.5%
Other values (47) 116
14.4%
Decimal Number
ValueCountFrequency (%)
0 6853
43.4%
2 2172
 
13.8%
5 1840
 
11.7%
1 1570
 
9.9%
3 1273
 
8.1%
4 514
 
3.3%
6 487
 
3.1%
8 446
 
2.8%
9 368
 
2.3%
7 264
 
1.7%
Other Punctuation
ValueCountFrequency (%)
: 118
86.1%
? 18
 
13.1%
. 1
 
0.7%
Space Separator
ValueCountFrequency (%)
256
100.0%
Math Symbol
ValueCountFrequency (%)
~ 64
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16363
95.3%
Hangul 804
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
128
15.9%
128
15.9%
127
15.8%
62
7.7%
58
7.2%
58
7.2%
58
7.2%
31
 
3.9%
26
 
3.2%
12
 
1.5%
Other values (47) 116
14.4%
Common
ValueCountFrequency (%)
0 6853
41.9%
2 2172
 
13.3%
5 1840
 
11.2%
1 1570
 
9.6%
3 1273
 
7.8%
4 514
 
3.1%
6 487
 
3.0%
8 446
 
2.7%
9 368
 
2.2%
7 264
 
1.6%
Other values (8) 576
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16363
95.3%
Hangul 804
 
4.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6853
41.9%
2 2172
 
13.3%
5 1840
 
11.2%
1 1570
 
9.6%
3 1273
 
7.8%
4 514
 
3.1%
6 487
 
3.0%
8 446
 
2.7%
9 368
 
2.2%
7 264
 
1.6%
Other values (8) 576
 
3.5%
Hangul
ValueCountFrequency (%)
128
15.9%
128
15.9%
127
15.8%
62
7.7%
58
7.2%
58
7.2%
58
7.2%
31
 
3.9%
26
 
3.2%
12
 
1.5%
Other values (47) 116
14.4%

접수방법
Text

MISSING 

Distinct182
Distinct (%)3.1%
Missing4069
Missing (%)40.7%
Memory size156.2 KiB
2023-12-11T17:27:11.172898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length196
Median length144
Mean length20.043163
Min length4

Characters and Unicode

Total characters118876
Distinct characters290
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)0.7%

Sample

1st row안내데스크(☎ 2250-0500~501)
2nd row- 현장접수 : 1층 접수처 (2652-1792) - 인터넷접수 (인터넷 결제시 이용료할인 선택 고객은 처음 한번은 방문후 첨부서류 제출)
3rd row방문접수 또는 인터넷접수
4th row접수기간내
5th row접수기간내
ValueCountFrequency (%)
1679
 
6.6%
방문접수 1386
 
5.5%
접수기간내 1115
 
4.4%
인터넷접수 1022
 
4.0%
937
 
3.7%
1층 835
 
3.3%
방문 766
 
3.0%
접수 766
 
3.0%
또는 744
 
2.9%
인터넷 725
 
2.9%
Other values (358) 15328
60.6%
2023-12-11T17:27:11.765457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20562
 
17.3%
7275
 
6.1%
6879
 
5.8%
3179
 
2.7%
3136
 
2.6%
0 3088
 
2.6%
2909
 
2.4%
2848
 
2.4%
2486
 
2.1%
2374
 
2.0%
Other values (280) 64140
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 83203
70.0%
Space Separator 20562
 
17.3%
Decimal Number 9177
 
7.7%
Dash Punctuation 1982
 
1.7%
Other Punctuation 1854
 
1.6%
Close Punctuation 844
 
0.7%
Open Punctuation 844
 
0.7%
Uppercase Letter 126
 
0.1%
Lowercase Letter 108
 
0.1%
Math Symbol 90
 
0.1%
Other values (3) 86
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7275
 
8.7%
6879
 
8.3%
3179
 
3.8%
3136
 
3.8%
2909
 
3.5%
2848
 
3.4%
2486
 
3.0%
2374
 
2.9%
2083
 
2.5%
1965
 
2.4%
Other values (230) 48069
57.8%
Lowercase Letter
ValueCountFrequency (%)
r 12
11.1%
p 12
11.1%
n 10
9.3%
i 10
9.3%
o 10
9.3%
a 10
9.3%
g 8
7.4%
m 6
 
5.6%
w 6
 
5.6%
t 6
 
5.6%
Other values (8) 18
16.7%
Decimal Number
ValueCountFrequency (%)
0 3088
33.6%
1 1798
19.6%
2 1221
 
13.3%
7 761
 
8.3%
5 686
 
7.5%
6 497
 
5.4%
3 421
 
4.6%
9 359
 
3.9%
4 265
 
2.9%
8 81
 
0.9%
Other Punctuation
ValueCountFrequency (%)
: 874
47.1%
. 400
21.6%
/ 292
 
15.7%
? 126
 
6.8%
* 108
 
5.8%
% 53
 
2.9%
1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
B 85
67.5%
F 39
31.0%
D 2
 
1.6%
Math Symbol
ValueCountFrequency (%)
~ 84
93.3%
= 4
 
4.4%
> 2
 
2.2%
Close Punctuation
ValueCountFrequency (%)
) 842
99.8%
] 2
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 842
99.8%
[ 2
 
0.2%
Space Separator
ValueCountFrequency (%)
20562
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1982
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 52
100.0%
Other Symbol
ValueCountFrequency (%)
28
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 83203
70.0%
Common 35439
29.8%
Latin 234
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7275
 
8.7%
6879
 
8.3%
3179
 
3.8%
3136
 
3.8%
2909
 
3.5%
2848
 
3.4%
2486
 
3.0%
2374
 
2.9%
2083
 
2.5%
1965
 
2.4%
Other values (230) 48069
57.8%
Common
ValueCountFrequency (%)
20562
58.0%
0 3088
 
8.7%
- 1982
 
5.6%
1 1798
 
5.1%
2 1221
 
3.4%
: 874
 
2.5%
) 842
 
2.4%
( 842
 
2.4%
7 761
 
2.1%
5 686
 
1.9%
Other values (19) 2783
 
7.9%
Latin
ValueCountFrequency (%)
B 85
36.3%
F 39
16.7%
r 12
 
5.1%
p 12
 
5.1%
n 10
 
4.3%
i 10
 
4.3%
o 10
 
4.3%
a 10
 
4.3%
g 8
 
3.4%
m 6
 
2.6%
Other values (11) 32
 
13.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 83203
70.0%
ASCII 35644
30.0%
Misc Symbols 28
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20562
57.7%
0 3088
 
8.7%
- 1982
 
5.6%
1 1798
 
5.0%
2 1221
 
3.4%
: 874
 
2.5%
) 842
 
2.4%
( 842
 
2.4%
7 761
 
2.1%
5 686
 
1.9%
Other values (38) 2988
 
8.4%
Hangul
ValueCountFrequency (%)
7275
 
8.7%
6879
 
8.3%
3179
 
3.8%
3136
 
3.8%
2909
 
3.5%
2848
 
3.4%
2486
 
3.0%
2374
 
2.9%
2083
 
2.5%
1965
 
2.4%
Other values (230) 48069
57.8%
Misc Symbols
ValueCountFrequency (%)
28
100.0%
Punctuation
ValueCountFrequency (%)
1
100.0%

접수기간
Text

MISSING 

Distinct225
Distinct (%)5.7%
Missing6022
Missing (%)60.2%
Memory size156.2 KiB
2023-12-11T17:27:12.136194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length316
Median length190
Mean length91.502262
Min length1

Characters and Unicode

Total characters363996
Distinct characters258
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)2.9%

Sample

1st row2010/11/18~20101207
2nd row- 기존 회원 : 매월 15일 ~26일 (26일 토ㆍ일 ㆍ공휴일일 경우 25일까지) - 신규 회원 : 매월 27일부터 09시부터 결원모집 프로그램에 한하여 선착순 마감 (27일이 일 ㆍ공휴일인 경우 28일부터) - 시 간 평일 07:00 ~ 21:00 토요일 11:30 ~ 21:00 점심시간 : 월요일~토요일 12:10 ~ 12:50 저녁시간 : 월요일~토요일 17:00 ~ 17:40
3rd row(기존회원) 매월 18일~22일 (회원증 지참) (신규회원) 매월 24일 06:00부터 선착순 (반 변경) 매월 23일 (동일종목에 한함)
4th row(기존회원) 매월 14~20일 (기존회원 반변경) 매월 21일~22일 (신규회원) 매월 23일~(선착순 접수)
5th row(기존회원) 매월 20~23일 (24일 이후는 신규회원과 동일) (신규회원) 매월 24일~말일
ValueCountFrequency (%)
7147
 
9.9%
매월 6590
 
9.1%
기존회원 2643
 
3.7%
신규회원 2215
 
3.1%
선착순 1489
 
2.1%
24일 1407
 
2.0%
경우 984
 
1.4%
접수 816
 
1.1%
06:00~21:00 809
 
1.1%
말일 803
 
1.1%
Other values (638) 47190
65.5%
2023-12-11T17:27:12.733604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
74062
20.3%
20344
 
5.6%
0 19708
 
5.4%
2 15195
 
4.2%
: 11058
 
3.0%
) 10250
 
2.8%
( 10040
 
2.8%
9215
 
2.5%
~ 9121
 
2.5%
8601
 
2.4%
Other values (248) 176402
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 180647
49.6%
Space Separator 74062
20.3%
Decimal Number 61840
 
17.0%
Other Punctuation 15092
 
4.1%
Close Punctuation 10426
 
2.9%
Open Punctuation 10216
 
2.8%
Math Symbol 9248
 
2.5%
Dash Punctuation 2424
 
0.7%
Other Symbol 41
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
20344
 
11.3%
9215
 
5.1%
8601
 
4.8%
8031
 
4.4%
7982
 
4.4%
5176
 
2.9%
5059
 
2.8%
4184
 
2.3%
3870
 
2.1%
3811
 
2.1%
Other values (217) 104374
57.8%
Decimal Number
ValueCountFrequency (%)
0 19708
31.9%
2 15195
24.6%
1 7881
 
12.7%
5 4388
 
7.1%
6 4346
 
7.0%
4 3108
 
5.0%
3 2408
 
3.9%
7 2255
 
3.6%
9 1393
 
2.3%
8 1158
 
1.9%
Other Punctuation
ValueCountFrequency (%)
: 11058
73.3%
% 1010
 
6.7%
. 845
 
5.6%
746
 
4.9%
/ 714
 
4.7%
? 322
 
2.1%
* 314
 
2.1%
83
 
0.5%
Math Symbol
ValueCountFrequency (%)
~ 9121
98.6%
46
 
0.5%
| 45
 
0.5%
< 18
 
0.2%
> 18
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 10250
98.3%
] 176
 
1.7%
Open Punctuation
ValueCountFrequency (%)
( 10040
98.3%
[ 176
 
1.7%
Other Symbol
ValueCountFrequency (%)
40
97.6%
1
 
2.4%
Space Separator
ValueCountFrequency (%)
74062
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2424
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 183349
50.4%
Hangul 180647
49.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
20344
 
11.3%
9215
 
5.1%
8601
 
4.8%
8031
 
4.4%
7982
 
4.4%
5176
 
2.9%
5059
 
2.8%
4184
 
2.3%
3870
 
2.1%
3811
 
2.1%
Other values (217) 104374
57.8%
Common
ValueCountFrequency (%)
74062
40.4%
0 19708
 
10.7%
2 15195
 
8.3%
: 11058
 
6.0%
) 10250
 
5.6%
( 10040
 
5.5%
~ 9121
 
5.0%
1 7881
 
4.3%
5 4388
 
2.4%
6 4346
 
2.4%
Other values (21) 17300
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 182433
50.1%
Hangul 179811
49.4%
Compat Jamo 836
 
0.2%
Punctuation 746
 
0.2%
None 83
 
< 0.1%
Arrows 46
 
< 0.1%
Geometric Shapes 40
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
74062
40.6%
0 19708
 
10.8%
2 15195
 
8.3%
: 11058
 
6.1%
) 10250
 
5.6%
( 10040
 
5.5%
~ 9121
 
5.0%
1 7881
 
4.3%
5 4388
 
2.4%
6 4346
 
2.4%
Other values (16) 16384
 
9.0%
Hangul
ValueCountFrequency (%)
20344
 
11.3%
9215
 
5.1%
8601
 
4.8%
8031
 
4.5%
7982
 
4.4%
5176
 
2.9%
5059
 
2.8%
4184
 
2.3%
3870
 
2.2%
3811
 
2.1%
Other values (216) 103538
57.6%
Compat Jamo
ValueCountFrequency (%)
836
100.0%
Punctuation
ValueCountFrequency (%)
746
100.0%
None
ValueCountFrequency (%)
83
100.0%
Arrows
ValueCountFrequency (%)
46
100.0%
Geometric Shapes
ValueCountFrequency (%)
40
100.0%
Misc Symbols
ValueCountFrequency (%)
1
100.0%

선별방법
Categorical

IMBALANCE 

Distinct42
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5574 
선착순
4165 
선착순
 
43
2
 
43
* 모든 프로그램은 선착순 접수이므로로 마감 될 수 있습니다
 
19
Other values (37)
 
156

Length

Max length121
Median length4
Mean length3.9161
Min length1

Unique

Unique21 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5574
55.7%
선착순 4165
41.6%
선착순 43
 
0.4%
2 43
 
0.4%
* 모든 프로그램은 선착순 접수이므로로 마감 될 수 있습니다 19
 
0.2%
선착순 17
 
0.2%
* 모든 프로그램은 선착순 접수이므로로 마감 될 수 있습니다. 16
 
0.2%
선착순 12
 
0.1%
* 모든 프로그램은 선착순 접수이므로로 마감 될 수 있습니다 12
 
0.1%
기존 회원 우선접수 후 신규회원 선착순 접수 12
 
0.1%
Other values (32) 87
 
0.9%

Length

2023-12-11T17:27:12.920496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 5574
51.3%
선착순 4367
40.2%
접수이므로로 87
 
0.8%
있습니다 87
 
0.8%
87
 
0.8%
마감 87
 
0.8%
87
 
0.8%
프로그램은 87
 
0.8%
모든 87
 
0.8%
80
 
0.7%
Other values (65) 238
 
2.2%

온라인예약링크
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9657 
http://sports.gangbukcmc.seoul.kr/
 
96
http://www.idongjak.or.kr/03_athletic/online_order_login.asp?sp_center=5
 
89
http://sports.gangbukcmc.seoul.kr
 
57
http://online.ksponco.or.kr/contents/online_new/online.asp?SC_ID=6&new_id=
 
55
Other values (6)
 
46

Length

Max length128
Median length4
Mean length5.6995
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th rowhttp://www.idongjak.or.kr/03_athletic/online_order_login.asp?sp_center=5
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9657
96.6%
http://sports.gangbukcmc.seoul.kr/ 96
 
1.0%
http://www.idongjak.or.kr/03_athletic/online_order_login.asp?sp_center=5 89
 
0.9%
http://sports.gangbukcmc.seoul.kr 57
 
0.6%
http://online.ksponco.or.kr/contents/online_new/online.asp?SC_ID=6&new_id= 55
 
0.5%
http://www.e-junggu.or.kr/?code=20&subp=1040_2 27
 
0.3%
http://www.idongjak.or.kr/03_athletic/online_order_login.asp?sp_center=4 9
 
0.1%
http://www.idongjak.or.kr/03_athletic/online_order_login.asp?sp_center=2 4
 
< 0.1%
http://www.y-sisul.or.kr/member/login.asp?beforeURL=http%3A%2F%2Fwww%2Ey%2Dsisul%2Eor%2Ekr%2F%2Fbusiness%2Fbusi01%5F08%5F1%2Easp 3
 
< 0.1%
http://online.ksponco.or.kr/contents/online_new/online.asp?SC_ID=1&new_id= 2
 
< 0.1%

Length

2023-12-11T17:27:13.069088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9657
96.6%
http://sports.gangbukcmc.seoul.kr 154
 
1.5%
http://www.idongjak.or.kr/03_athletic/online_order_login.asp?sp_center=5 89
 
0.9%
http://online.ksponco.or.kr/contents/online_new/online.asp?sc_id=6&new_id 55
 
0.5%
http://www.e-junggu.or.kr/?code=20&subp=1040_2 27
 
0.3%
http://www.idongjak.or.kr/03_athletic/online_order_login.asp?sp_center=4 9
 
0.1%
http://www.idongjak.or.kr/03_athletic/online_order_login.asp?sp_center=2 4
 
< 0.1%
http://www.y-sisul.or.kr/member/login.asp?beforeurl=http%3a%2f%2fwww%2ey%2dsisul%2eor%2ekr%2f%2fbusiness%2fbusi01%5f08%5f1%2easp 3
 
< 0.1%
http://online.ksponco.or.kr/contents/online_new/online.asp?sc_id=1&new_id 2
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing3938
Missing (%)39.4%
Memory size97.7 KiB
True
5841 
False
 
221
(Missing)
3938 
ValueCountFrequency (%)
True 5841
58.4%
False 221
 
2.2%
(Missing) 3938
39.4%
2023-12-11T17:27:13.199812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

강좌시작일
Categorical

IMBALANCE 

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8788 
20110101
891 
접수기간내
 
83
20110103
 
77
20110104
 
56
Other values (14)
 
105

Length

Max length8
Median length4
Mean length4.4599
Min length4

Unique

Unique7 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row20110101
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 8788
87.9%
20110101 891
 
8.9%
접수기간내 83
 
0.8%
20110103 77
 
0.8%
20110104 56
 
0.6%
20110102 44
 
0.4%
20110201 34
 
0.3%
20101227 6
 
0.1%
20110105 6
 
0.1%
20110115 3
 
< 0.1%
Other values (9) 12
 
0.1%

Length

2023-12-11T17:27:13.345718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 8788
87.9%
20110101 891
 
8.9%
접수기간내 83
 
0.8%
20110103 77
 
0.8%
20110104 56
 
0.6%
20110102 44
 
0.4%
20110201 34
 
0.3%
20101227 6
 
0.1%
20110105 6
 
0.1%
20110108 3
 
< 0.1%
Other values (9) 12
 
0.1%

강좌종료일
Categorical

IMBALANCE 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8866 
20110131
 
876
20110331
 
153
20110228
 
47
20110130
 
16
Other values (12)
 
42

Length

Max length8
Median length4
Mean length4.4536
Min length4

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row20110131
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 8866
88.7%
20110131 876
 
8.8%
20110331 153
 
1.5%
20110228 47
 
0.5%
20110130 16
 
0.2%
20110127 16
 
0.2%
20110129 8
 
0.1%
20110121 5
 
0.1%
20110301 3
 
< 0.1%
20110128 2
 
< 0.1%
Other values (7) 8
 
0.1%

Length

2023-12-11T17:27:13.544161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 8866
88.7%
20110131 876
 
8.8%
20110331 153
 
1.5%
20110228 47
 
0.5%
20110130 16
 
0.2%
20110127 16
 
0.2%
20110129 8
 
0.1%
20110121 5
 
0.1%
20110301 3
 
< 0.1%
20110128 2
 
< 0.1%
Other values (6) 7
 
0.1%

가격무료확인
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)1.1%
Missing9909
Missing (%)99.1%
Memory size97.7 KiB
True
 
91
(Missing)
9909 
ValueCountFrequency (%)
True 91
 
0.9%
(Missing) 9909
99.1%
2023-12-11T17:27:13.683182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

시설명종목시설명프로그램명종목명장소주소홈페이지주차면(면)문의전화FAX이메일반명레벨대상기간요일진행시간(1회)수강료(원)프로그램소개전체정원수접수방법접수기간선별방법온라인예약링크사용여부(센터에서 강좌오픈여부)강좌시작일강좌종료일가격무료확인
508중구청소년수련관<NA>발레발레복합문화공간<NA><NA><NA><NA><NA><NA>A중급어린이(초1~3학년)2010/12/01~2010/12/31월수17:00~17:5032000발레복슈즈 개별준비 또는 강사 문의25안내데스크(☎ 2250-0500~501)2010/11/18~20101207선착순<NA>Y<NA><NA><NA>
9159양천구민체육센터<NA>패키지수영지하1층수영장<NA><NA><NA><NA><NA><NA>어머니건강교실C<NA>성인여성매월1일~말일월수금09:00~10:5058000평영이상 가능 자 단계적 수영지도 에어로빅80- 현장접수 : 1층 접수처 (2652-1792) - 인터넷접수 (인터넷 결제시 이용료할인 선택 고객은 처음 한번은 방문후 첨부서류 제출)- 기존 회원 : 매월 15일 ~26일 (26일 토ㆍ일 ㆍ공휴일일 경우 25일까지) - 신규 회원 : 매월 27일부터 09시부터 결원모집 프로그램에 한하여 선착순 마감 (27일이 일 ㆍ공휴일인 경우 28일부터) - 시 간 평일 07:00 ~ 21:00 토요일 11:30 ~ 21:00 점심시간 : 월요일~토요일 12:10 ~ 12:50 저녁시간 : 월요일~토요일 17:00 ~ 17:40선착순<NA><NA><NA><NA><NA>
2132수서청소년수련관<NA>수영(45000)수영수영장<NA><NA><NA><NA><NA><NA>어머니수영-10시 월수금(선반)<NA><NA>1월수금10:00~10:5045000<NA>65<NA><NA><NA><NA><NA>2011010120110131<NA>
1671서울여성플라자스포츠센터<NA>아쿠아로빅아쿠아로빅지하2층수영장<NA><NA><NA><NA><NA><NA>아쿠아로빅(수중에어로빅)<NA>성인<NA>화목08:00-08:50341004주째 일요수영 무료입장 (토요일은불가)<NA>방문접수 또는 인터넷접수(기존회원) 매월 18일~22일 (회원증 지참) (신규회원) 매월 24일 06:00부터 선착순 (반 변경) 매월 23일 (동일종목에 한함)선착순http://www.idongjak.or.kr/03_athletic/online_order_login.asp?sp_center=5<NA><NA><NA><NA>
6583종로문화체육센터<NA>수영수영<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1월화수목금12:00~12:5029700<NA>120접수기간내<NA><NA><NA><NA><NA><NA><NA>
7359올림픽기념국민생활관<NA>수영수영<NA><NA><NA><NA><NA><NA><NA><NA><NA>없음1월화수목금토08:00~08:5085910<NA>0접수기간내<NA><NA><NA><NA><NA><NA><NA>
1264서울곰두리체육센터<NA>수영수영지하2층수영장<NA><NA><NA><NA><NA><NA>직장인A<NA>성인<NA>월화수목금토19:30 ~ 20:2072000월?수?금 지도수영/화?목 자유수영/토 자유수영 또는 헬스 ▲ 수영 수중게임 수중체조 체력증진운동영법교정 단계별 영법지도▲ 헬스 스트레칭교육 기초체력단련체성분 분석 개인운동처방 ▲ 체조 조깅 스트레칭 에어로빅 ▲ 토요일 수영 해당반은 자유수영 또는 헬스 선택가능 ※ 자유수영(토) 09:00 ~ 11:50 (어린이 입장불가) 14:00 ~ 17:50 (어린이 입장가능) ※ 헬스(토) 09:00 ~ 17:50<NA>안내데스크 접수(기존회원) 매월 14~20일 (기존회원 반변경) 매월 21일~22일 (신규회원) 매월 23일~(선착순 접수)선착순<NA><NA><NA><NA><NA>
490도봉실내수영장<NA>저녁교정상급2수영<NA><NA><NA><NA><NA><NA><NA><NA><NA>누구나1<NA>20:00~20:5057200<NA>20<NA><NA><NA><NA>N<NA><NA><NA>
12365은평구민체육센터<NA>요가요가<NA><NA><NA><NA><NA><NA><NA>핫요가<NA>청소년매월 1일~말일월수금06:00~06:5043000<NA>25방문접수(기존회원) 매월 20~23일 (24일 이후는 신규회원과 동일) (신규회원) 매월 24일~말일선착순<NA><NA><NA><NA><NA>
2218망우청소년수련관<NA>성인수영수영<NA><NA><NA><NA><NA><NA><NA>인어1-상급<NA>성인1월수금11:00~11:5043000<NA>20<NA><NA><NA><NA>Y<NA><NA><NA>
시설명종목시설명프로그램명종목명장소주소홈페이지주차면(면)문의전화FAX이메일반명레벨대상기간요일진행시간(1회)수강료(원)프로그램소개전체정원수접수방법접수기간선별방법온라인예약링크사용여부(센터에서 강좌오픈여부)강좌시작일강좌종료일가격무료확인
2590마곡레포츠센터<NA>수영+헬스수영<NA><NA><NA><NA><NA><NA><NA><NA><NA>성인<NA>월화수목금토<NA>88000주 3회(월수금)강습 + 주 6회(월~토))강습0센터 방문접수온라인접수기존회원: 매월 20일 ~ 24일 신규회원: 매월 25일 ~ 말일 수강기간: 매월 1일~ 말일 접수시간: 06:00~21:00선착순<NA>Y<NA><NA><NA>
14113충무아트홀스포츠센터<NA>저녁필라테스필라테스<NA><NA><NA><NA><NA><NA><NA>저녁필라테스A반<NA>성인1개월화목19:30~20:2533000<NA>40B1 고객상담실 (2230-6776?7)기존회원 - 매월 19일 ~ 말일 신규회원(중구민중구근무자) - 매월 24일 ~ 말일 (24일 접수는 신분증이나 명함을 지참해 주십시오.) 신규회원(타지역) - 매월 25일 ~ 말일* 모든 프로그램은 선착순 접수이므로로 마감 될 수 있습니다<NA>Y<NA><NA><NA>
1504갈월종합사회복지관<NA>헬스+요가헬스<NA><NA><NA><NA><NA><NA><NA><NA><NA>청소년성인<NA>월화수목금토06:00~23:000*헬스 평일 06:00~23:00 토요일 10:00~18:00 *요가 월수금 09:00~09:50/20:00~20:50<NA><NA><NA><NA><NA>Y<NA><NA><NA>
7846금천청소년수련관<NA>아침A 초급수영<NA><NA><NA><NA><NA><NA><NA><NA><NA>성인1월수금07:00~07:5044000<NA>12<NA><NA><NA><NA>Y<NA><NA><NA>
5686강남주민편익시설<NA>주부수영수영1층-수영장<NA><NA><NA><NA><NA><NA>A<NA>성인여성<NA>월수금09:00~09:5050000단계식지도 철저한 입수지도 건강증신 스트레스 해소<NA>1`층접수처기존회원: 매월 18일 ~ 25일 신규회원매월 26일 ~ 익월 5일까지/26일 27일이 일 공휴일의 경우 익일 접수 접수시간:월~금(06:00~20:00) / 토(06:00~18:00) / 일(10:00~16:00)휴관안내:매월 둘째 ? 넷째주 일요일 및 법정공휴일선착순<NA><NA><NA><NA><NA>
14017양천구민체육센터<NA>축구축구<NA><NA><NA><NA><NA><NA><NA>힘찬축구교실<NA>유아어린이매월1일~말일월수금14:00~14:5027500어린이들을 대상으로 기술보다는 흥미와 재미를 위주로 기본길르 배우는 프로그램30- 현장접수 : 1층 접수처 (2652-1792) - 인터넷접수 (인터넷 결제시 이용료할인 선택 고객은 처음 한번은 방문후 첨부서류 제출)- 기존 회원 : 매월 15일 ~26일 (26일 토ㆍ일 ㆍ공휴일일 경우 25일까지) - 신규 회원 : 매월 27일부터 09시부터 결원모집 프로그램에 한하여 선착순 마감 (27일이 일 ㆍ공휴일인 경우 28일부터) - 시 간 평일 07:00 ~ 21:00 토요일 11:30 ~ 21:00 점심시간 : 월요일~토요일 12:10 ~ 12:50 저녁시간 : 월요일~토요일 17:00 ~ 17:40선착순<NA>Y<NA><NA><NA>
1452서울YWCA<NA>요가요가<NA><NA><NA><NA><NA><NA><NA>다이어트요가C<NA>누구나<NA>월수18:30~19:3060000신체의 수축력을 강화하여 근육의 탄력을 기를 수 있음0방문접수 또는 유선기존회원:매월20~25일(평일20시30분까지)/신규회원매월26일~말일 오전7시부터 선착순선착순<NA>Y<NA><NA><NA>
10129올림픽공원스포츠센터<NA>올팍당구당구포켓볼<NA><NA><NA><NA><NA><NA><NA>고급<NA>청소년성인<NA>월화수목금10:45~12:1514:00~15:30130000국가대표강사와 함께 정확한 당구를 배워 보셔요~ 여러분의 스트레스를 확~ 날려버릴겁니다~!!0<NA><NA><NA><NA>Y<NA><NA><NA>
1785서울곰두리체육센터<NA>수영수영지하2층수영장<NA><NA><NA><NA><NA><NA>초등C초급어린이(초 3~6년)<NA>월수금17:00 ~ 17:5045000물놀이 수중게임 체력증진 능력별 개인별 영법지도 ㆍ초급 - 기초 익히기 ㆍ중급 - 자유형 배영 가능 ㆍ상급 - 자유형 배영 평영 가능 ㆍ고급 - 개인 혼영 가능0안내데스크 접수(기존회원) 매월 14~20일 (기존회원 반변경) 매월 21일~22일 (신규회원) 매월 23일~(선착순 접수)선착순<NA>Y<NA><NA><NA>
3348일자산제1체육관<NA>배드민턴배드민턴<NA><NA><NA><NA><NA><NA><NA>꿈나무교실<NA>어린이1화목토16:00~17:3033000<NA>15<NA><NA><NA><NA>Y<NA><NA><NA>

Duplicate rows

Most frequently occurring

시설명프로그램명종목명장소반명레벨대상기간요일진행시간(1회)수강료(원)프로그램소개전체정원수접수방법접수기간선별방법온라인예약링크사용여부(센터에서 강좌오픈여부)강좌시작일강좌종료일가격무료확인# duplicates
102올림픽기념국민생활관유아체능유아체능단(분기별)<NA><NA><NA><NA>3월화수목금09:00~15:00753000<NA>0접수기간내<NA><NA><NA><NA><NA><NA><NA>5
0강남주민편익시설기러기체능단유아체능단(분기별)<NA><NA><NA>유아3월~7월월화수목금10:00~15:00800000수영 체육 태권도 골프 인라인스케이트유아교육 유아영어 레고닥터 견학 야외활동 급식지도20명1층 기러기체능단매년 8월 11월 단원모집마감하지 않은 반에 한해 선착순으로 접수선착순<NA>Y<NA><NA><NA>3
6계남다목적체육관배드민턴배드민턴<NA>양현영 배드민턴 고급반<NA>성인매월1일~말일화목토11:00~13:00113100- 온라인 수강 등록 후 결제 기한(1일) 만료시 자동 취소 처리됩니다 - 접수상황에 따라 이용시간대 마감될 수 있습니다 - 정기권할인:20인 이상 동일소속됨 65세 이상 경로우대 30% 할인 - 장애인 국가유공자 기초생활수급대상자:50% 할인 - 일반강습(성인)-장애.유공.수급?101층 안내데스크 및 온라인- 기존 정기회원 : 매월 15일 ~24일 (24일 토ㆍ일 ㆍ공휴일일 경우 25일까지) - 접수시간 : 평일 07:00 ~ 21:00 - 신규 정기 및 강습회원 : 매월 25일부터 09시부터 결원모집 한하여 선착순 마감 (25일이 일 ㆍ공휴일인 경우 26일부터) - 접수시간 : 09:00 ~ 21:00선착순<NA>Y<NA><NA><NA>3
8계남다목적체육관배드민턴배드민턴<NA>양현영 배드민턴 교실<NA>성인매월1일~말일화목토15:00~18:00106500- 온라인 수강 등록 후 결제 기한(1일) 만료시 자동 취소 처리됩니다 - 접수상황에 따라 이용시간대 마감될 수 있습니다 - 정기권할인:20인 이상 동일소속됨 65세 이상 경로우대 30% 할인 - 장애인 국가유공자 기초생활수급대상자:50% 할인 - 일반강습(성인)-장애.유공.수급?261층 안내데스크 및 온라인- 기존 정기회원 : 매월 15일 ~24일 (24일 토ㆍ일 ㆍ공휴일일 경우 25일까지) - 접수시간 : 평일 07:00 ~ 21:00 - 신규 정기 및 강습회원 : 매월 25일부터 09시부터 결원모집 한하여 선착순 마감 (25일이 일 ㆍ공휴일인 경우 26일부터) - 접수시간 : 09:00 ~ 21:00선착순<NA>Y<NA><NA><NA>3
11계남다목적체육관배드민턴배드민턴<NA>이호성 배드민턴 고급반<NA>성인매월1일~말일화목토09:00~11:00106500- 온라인 수강 등록 후 결제 기한(1일) 만료시 자동 취소 처리됩니다 - 접수상황에 따라 이용시간대 마감될 수 있습니다 - 정기권할인:20인 이상 동일소속됨 65세 이상 경로우대 30% 할인 - 장애인 국가유공자 기초생활수급대상자:50% 할인 - 일반강습(성인)-장애.유공.수급?101층 안내데스크 및 온라인- 기존 정기회원 : 매월 15일 ~24일 (24일 토ㆍ일 ㆍ공휴일일 경우 25일까지) - 접수시간 : 평일 07:00 ~ 21:00 - 신규 정기 및 강습회원 : 매월 25일부터 09시부터 결원모집 한하여 선착순 마감 (25일이 일 ㆍ공휴일인 경우 26일부터) - 접수시간 : 09:00 ~ 21:00선착순<NA>Y<NA><NA><NA>3
85올림픽기념국민생활관수영수영<NA><NA><NA>성인1월수금18:00~18:5049500<NA>15접수기간내<NA><NA><NA>Y<NA><NA><NA>3
103올림픽기념국민생활관줄넘기줄넘기<NA><NA><NA>어린이116:00~16:5016500<NA>40접수기간내<NA><NA><NA>Y<NA><NA><NA>3
108올림픽기념국민생활관헬스헬스<NA><NA><NA><NA>106:00~22:50660000<NA>0접수기간내<NA><NA><NA><NA><NA><NA><NA>3
109올림픽기념국민생활관헬스헬스<NA><NA><NA><NA>1월화수목금06:00~22:50440000<NA>0접수기간내<NA><NA><NA><NA><NA><NA><NA>3
1계남다목적체육관배드민턴배드민턴체육관양현영 배드민턴 교실?<NA>성인매월1일~말일화목토15:00~18:00?113100- 온라인 수강 등록 후 결제 기한(1일) 만료시 자동 취소 처리됩니다 - 접수상황에 따라 이용시간대 마감될 수 있습니다 - 정기권할인:20인 이상 동일소속됨 65세 이상 경로우대 30% 할인 - 장애인 국가유공자 기초생활수급대상자:50% 할인 - 일반강습(성인)-장애.유공.수급?26?1층 안내데스크 및 온라인- 기존 정기회원 : 매월 15일 ~24일 (24일 토ㆍ일 ㆍ공휴일일 경우 25일까지) - 접수시간 : 평일 07:00 ~ 21:00 - 신규 정기 및 강습회원 : 매월 25일부터 09시부터 결원모집 한하여 선착순 마감 (25일이 일 ㆍ공휴일인 경우 26일부터) - 접수시간 : 09:00 ~ 21:00선착순<NA><NA><NA><NA><NA>2