Overview

Dataset statistics

Number of variables5
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory45.3 B

Variable types

Categorical1
Text4

Dataset

Description부산광역시_부산글로벌빌리지운영현황_20230531
Author부산광역시
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3075985

Reproduction

Analysis started2023-12-10 16:05:21.893503
Analysis finished2023-12-10 16:05:22.366072
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
일반과정
17 
특별과정
7 
정규과정
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st row정규과정
2nd row일반과정
3rd row일반과정
4th row일반과정
5th row일반과정

Common Values

ValueCountFrequency (%)
일반과정 17
68.0%
특별과정 7
28.0%
정규과정 1
 
4.0%

Length

2023-12-11T01:05:22.443110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:05:22.569465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반과정 17
68.0%
특별과정 7
28.0%
정규과정 1
 
4.0%

프로그램명
Text

Distinct17
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T01:05:22.770970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length4
Mean length5.44
Min length4

Characters and Unicode

Total characters136
Distinct characters73
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

Unique10 ?
Unique (%)40.0%

Sample

1st row화~수/목~금
2nd row방학캠프
3rd row방학캠프
4th row방학캠프
5th row글로벌 부산 영 리더
ValueCountFrequency (%)
방학캠프 3
 
9.1%
후 2
 
6.1%
교실 2
 
6.1%
영어발레 2
 
6.1%
성인회화 2
 
6.1%
k-tesol 2
 
6.1%
특별주간 2
 
6.1%
키즈체험 2
 
6.1%
방과 2
 
6.1%
토요체험스쿨 1
 
3.0%
Other values (13) 13
39.4%
2023-12-11T01:05:23.205625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
 
5.9%
방 5
 
3.7%
험 4
 
2.9%
프 4
 
2.9%
영 4
 
2.9%
어 4
 
2.9%
체 4
 
2.9%
캠 3
 
2.2%
주 3
 
2.2%
화 3
 
2.2%
Other values (63) 94
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 111
81.6%
Uppercase Letter 12
 
8.8%
Space Separator 8
 
5.9%
Math Symbol 2
 
1.5%
Dash Punctuation 2
 
1.5%
Other Punctuation 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 5
 
4.5%
험 4
 
3.6%
프 4
 
3.6%
영 4
 
3.6%
어 4
 
3.6%
체 4
 
3.6%
캠 3
 
2.7%
주 3
 
2.7%
화 3
 
2.7%
학 3
 
2.7%
Other values (53) 74
66.7%
Uppercase Letter
ValueCountFrequency (%)
L 2
16.7%
O 2
16.7%
S 2
16.7%
K 2
16.7%
T 2
16.7%
E 2
16.7%
Space Separator
ValueCountFrequency (%)
8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 111
81.6%
Common 13
 
9.6%
Latin 12
 
8.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 5
 
4.5%
험 4
 
3.6%
프 4
 
3.6%
영 4
 
3.6%
어 4
 
3.6%
체 4
 
3.6%
캠 3
 
2.7%
주 3
 
2.7%
화 3
 
2.7%
학 3
 
2.7%
Other values (53) 74
66.7%
Latin
ValueCountFrequency (%)
L 2
16.7%
O 2
16.7%
S 2
16.7%
K 2
16.7%
T 2
16.7%
E 2
16.7%
Common
ValueCountFrequency (%)
8
61.5%
~ 2
 
15.4%
- 2
 
15.4%
/ 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 111
81.6%
ASCII 25
 
18.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8
32.0%
~ 2
 
8.0%
L 2
 
8.0%
O 2
 
8.0%
S 2
 
8.0%
K 2
 
8.0%
- 2
 
8.0%
T 2
 
8.0%
E 2
 
8.0%
/ 1
 
4.0%
Hangul
ValueCountFrequency (%)
방 5
 
4.5%
험 4
 
3.6%
프 4
 
3.6%
영 4
 
3.6%
어 4
 
3.6%
체 4
 
3.6%
캠 3
 
2.7%
주 3
 
2.7%
화 3
 
2.7%
학 3
 
2.7%
Other values (53) 74
66.7%

이용대상
Text

Distinct16
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T01:05:23.435903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length5
Mean length5.08
Min length2

Characters and Unicode

Total characters127
Distinct characters30
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)36.0%

Sample

1st row초6
2nd row초2~중2
3rd row초3~중3
4th row초3~중3
5th row초3~6
ValueCountFrequency (%)
유치~중2 4
16.0%
초3~중3 2
 
8.0%
초1~중2 2
 
8.0%
5세~7세 2
 
8.0%
성인 2
 
8.0%
초1~중3 2
 
8.0%
영어관련경력단절자 2
 
8.0%
초6 1
 
4.0%
초2~중2 1
 
4.0%
초3~6 1
 
4.0%
Other values (6) 6
24.0%
2023-12-11T01:05:23.930037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
~ 20
15.7%
초 12
 
9.4%
중 11
 
8.7%
2 10
 
7.9%
세 7
 
5.5%
3 7
 
5.5%
1 7
 
5.5%
치 4
 
3.1%
6 4
 
3.1%
유 4
 
3.1%
Other values (20) 41
32.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 68
53.5%
Decimal Number 39
30.7%
Math Symbol 20
 
15.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
초 12
17.6%
중 11
16.2%
세 7
 
10.3%
치 4
 
5.9%
유 4
 
5.9%
월 2
 
2.9%
개 2
 
2.9%
고 2
 
2.9%
절 2
 
2.9%
등 2
 
2.9%
Other values (10) 20
29.4%
Decimal Number
ValueCountFrequency (%)
2 10
25.6%
3 7
17.9%
1 7
17.9%
6 4
 
10.3%
7 3
 
7.7%
5 3
 
7.7%
4 2
 
5.1%
8 2
 
5.1%
0 1
 
2.6%
Math Symbol
ValueCountFrequency (%)
~ 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68
53.5%
Common 59
46.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
초 12
17.6%
중 11
16.2%
세 7
 
10.3%
치 4
 
5.9%
유 4
 
5.9%
월 2
 
2.9%
개 2
 
2.9%
고 2
 
2.9%
절 2
 
2.9%
등 2
 
2.9%
Other values (10) 20
29.4%
Common
ValueCountFrequency (%)
~ 20
33.9%
2 10
16.9%
3 7
 
11.9%
1 7
 
11.9%
6 4
 
6.8%
7 3
 
5.1%
5 3
 
5.1%
4 2
 
3.4%
8 2
 
3.4%
0 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68
53.5%
ASCII 59
46.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
~ 20
33.9%
2 10
16.9%
3 7
 
11.9%
1 7
 
11.9%
6 4
 
6.8%
7 3
 
5.1%
5 3
 
5.1%
4 2
 
3.4%
8 2
 
3.4%
0 1
 
1.7%
Hangul
ValueCountFrequency (%)
초 12
17.6%
중 11
16.2%
세 7
 
10.3%
치 4
 
5.9%
유 4
 
5.9%
월 2
 
2.9%
개 2
 
2.9%
고 2
 
2.9%
절 2
 
2.9%
등 2
 
2.9%
Other values (10) 20
29.4%

수업일수_시간
Text

Distinct22
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T01:05:24.277927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length12.32
Min length2

Characters and Unicode

Total characters308
Distinct characters41
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

Unique19 ?
Unique (%)76.0%

Sample

1st row2일(09:30~15:30)
2nd row9일(09:10~20:00)
3rd row8박9일(09:00~19:30)
4th row7박8일(09:00~19:30)
5th row10개월
ValueCountFrequency (%)
3개월(주1회x40분 2
 
7.4%
1일(10:00~15:30 2
 
7.4%
8주 2
 
7.4%
10개월 1
 
3.7%
7박8일(09:00~19:30 1
 
3.7%
주1회(40분x4시간 1
 
3.7%
120분x주1회 1
 
3.7%
3개월(50분x주1회 1
 
3.7%
3개월(40분x주1회 1
 
3.7%
2개월(60분x주1회 1
 
3.7%
Other values (14) 14
51.9%
2023-12-11T01:05:24.782236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 50
16.2%
1 30
 
9.7%
) 19
 
6.2%
( 19
 
6.2%
: 18
 
5.8%
주 15
 
4.9%
일 15
 
4.9%
3 13
 
4.2%
9 11
 
3.6%
분 11
 
3.6%
Other values (31) 107
34.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 134
43.5%
Other Letter 88
28.6%
Other Punctuation 22
 
7.1%
Close Punctuation 19
 
6.2%
Open Punctuation 19
 
6.2%
Lowercase Letter 10
 
3.2%
Math Symbol 9
 
2.9%
Uppercase Letter 3
 
1.0%
Space Separator 2
 
0.6%
Dash Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 15
17.0%
일 15
17.0%
분 11
12.5%
회 11
12.5%
월 8
9.1%
개 8
9.1%
시 4
 
4.5%
간 4
 
4.5%
박 2
 
2.3%
반 1
 
1.1%
Other values (9) 9
10.2%
Decimal Number
ValueCountFrequency (%)
0 50
37.3%
1 30
22.4%
3 13
 
9.7%
9 11
 
8.2%
4 7
 
5.2%
8 7
 
5.2%
5 7
 
5.2%
2 5
 
3.7%
7 2
 
1.5%
6 2
 
1.5%
Other Punctuation
ValueCountFrequency (%)
: 18
81.8%
/ 2
 
9.1%
, 2
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
E 1
33.3%
I 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Lowercase Letter
ValueCountFrequency (%)
x 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 207
67.2%
Hangul 88
28.6%
Latin 13
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 15
17.0%
일 15
17.0%
분 11
12.5%
회 11
12.5%
월 8
9.1%
개 8
9.1%
시 4
 
4.5%
간 4
 
4.5%
박 2
 
2.3%
반 1
 
1.1%
Other values (9) 9
10.2%
Common
ValueCountFrequency (%)
0 50
24.2%
1 30
14.5%
) 19
 
9.2%
( 19
 
9.2%
: 18
 
8.7%
3 13
 
6.3%
9 11
 
5.3%
~ 9
 
4.3%
4 7
 
3.4%
8 7
 
3.4%
Other values (8) 24
11.6%
Latin
ValueCountFrequency (%)
x 10
76.9%
C 1
 
7.7%
E 1
 
7.7%
I 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220
71.4%
Hangul 88
 
28.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 50
22.7%
1 30
13.6%
) 19
 
8.6%
( 19
 
8.6%
: 18
 
8.2%
3 13
 
5.9%
9 11
 
5.0%
x 10
 
4.5%
~ 9
 
4.1%
4 7
 
3.2%
Other values (12) 34
15.5%
Hangul
ValueCountFrequency (%)
주 15
17.0%
일 15
17.0%
분 11
12.5%
회 11
12.5%
월 8
9.1%
개 8
9.1%
시 4
 
4.5%
간 4
 
4.5%
박 2
 
2.3%
반 1
 
1.1%
Other values (9) 9
10.2%

이용료
Text

Distinct23
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T01:05:25.095675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length12
Mean length9.84
Min length4

Characters and Unicode

Total characters246
Distinct characters63
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

Unique21 ?
Unique (%)84.0%

Sample

1st row3만3천2백5십원(식비 8천원 별도)
2nd row570천원(자가통학)
3rd row800천원/월(합숙형)
4th row700천원/월(합숙형)
5th row200천원/월
ValueCountFrequency (%)
110천원/3개월 2
 
6.2%
200천원/월 2
 
6.2%
대상 1
 
3.1%
졸업예정자 1
 
3.1%
관련학과 1
 
3.1%
대학교 1
 
3.1%
부산지역 1
 
3.1%
별도 1
 
3.1%
8천원 1
 
3.1%
3만3천2백5십원(식비 1
 
3.1%
Other values (20) 20
62.5%
2023-12-11T01:05:25.638360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
천 25
 
10.2%
원 25
 
10.2%
0 25
 
10.2%
/ 17
 
6.9%
월 15
 
6.1%
1 12
 
4.9%
3 12
 
4.9%
5 8
 
3.3%
2 8
 
3.3%
7
 
2.8%
Other values (53) 92
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 123
50.0%
Decimal Number 81
32.9%
Other Punctuation 19
 
7.7%
Space Separator 7
 
2.8%
Open Punctuation 6
 
2.4%
Close Punctuation 6
 
2.4%
Math Symbol 2
 
0.8%
Dash Punctuation 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 25
20.3%
원 25
20.3%
월 15
 
12.2%
개 4
 
3.3%
숙 3
 
2.4%
형 3
 
2.4%
학 3
 
2.4%
대 2
 
1.6%
별 2
 
1.6%
교 2
 
1.6%
Other values (35) 39
31.7%
Decimal Number
ValueCountFrequency (%)
0 25
30.9%
1 12
14.8%
3 12
14.8%
5 8
 
9.9%
2 8
 
9.9%
8 4
 
4.9%
6 4
 
4.9%
7 3
 
3.7%
9 3
 
3.7%
4 2
 
2.5%
Other Punctuation
ValueCountFrequency (%)
/ 17
89.5%
. 1
 
5.3%
, 1
 
5.3%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 123
50.0%
Common 123
50.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 25
20.3%
원 25
20.3%
월 15
 
12.2%
개 4
 
3.3%
숙 3
 
2.4%
형 3
 
2.4%
학 3
 
2.4%
대 2
 
1.6%
별 2
 
1.6%
교 2
 
1.6%
Other values (35) 39
31.7%
Common
ValueCountFrequency (%)
0 25
20.3%
/ 17
13.8%
1 12
9.8%
3 12
9.8%
5 8
 
6.5%
2 8
 
6.5%
7
 
5.7%
( 6
 
4.9%
) 6
 
4.9%
8 4
 
3.3%
Other values (8) 18
14.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 123
50.0%
ASCII 123
50.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
천 25
20.3%
원 25
20.3%
월 15
 
12.2%
개 4
 
3.3%
숙 3
 
2.4%
형 3
 
2.4%
학 3
 
2.4%
대 2
 
1.6%
별 2
 
1.6%
교 2
 
1.6%
Other values (35) 39
31.7%
ASCII
ValueCountFrequency (%)
0 25
20.3%
/ 17
13.8%
1 12
9.8%
3 12
9.8%
5 8
 
6.5%
2 8
 
6.5%
7
 
5.7%
( 6
 
4.9%
) 6
 
4.9%
8 4
 
3.3%
Other values (8) 18
14.6%

Correlations

2023-12-11T01:05:25.785387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분프로그램명이용대상수업일수_시간이용료
구분1.0001.0000.9661.0000.899
프로그램명1.0001.0000.9570.9720.954
이용대상0.9660.9571.0000.9790.821
수업일수_시간1.0000.9720.9791.0000.881
이용료0.8990.9540.8210.8811.000

Missing values

2023-12-11T01:05:22.225867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:05:22.329670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

구분프로그램명이용대상수업일수_시간이용료
0정규과정화~수/목~금초62일(09:30~15:30)3만3천2백5십원(식비 8천원 별도)
1일반과정방학캠프초2~중29일(09:10~20:00)570천원(자가통학)
2일반과정방학캠프초3~중38박9일(09:00~19:30)800천원/월(합숙형)
3일반과정방학캠프초3~중37박8일(09:00~19:30)700천원/월(합숙형)
4일반과정글로벌 부산 영 리더초3~610개월200천원/월
5일반과정당일체험유치~중21일(10:00~15:30)32천원
6일반과정토요체험스쿨유치~중21일(10:00~15:30)35.2천원
7일반과정특별주간유치~중21일(10:00~17:00)어린이날-50천원
8일반과정특별주간유치~중21일(15:00~20:00)할로윈-49천원
9일반과정국제 프로그램초등~고등9일(09:00~19:30)900천원(숙박형)
구분프로그램명이용대상수업일수_시간이용료
15일반과정영어읽기클리닉초1~6주1회(40분x4시간)33천원/회
16일반과정성인회화성인1개월(일6시간x주5회)-장기집중660천원/월,
17일반과정성인회화성인1개월(주4시간30분)-일반회화120~150천원/월
18특별과정저널리즘초1~중380분x주1회100천원/월
19특별과정아트앤사이언스6세~10세2개월(60분x주1회)110천원/월
20특별과정영어발레18~48개월3개월(40분x주1회)110천원/3개월
21특별과정영어발레5세~7세3개월(50분x주1회)110천원/3개월
22특별과정주니어통번역사초1~중3120분x주1회200천원/월
23특별과정K-TESOL영어관련경력단절자8주500천원/8주
24특별과정K-TESOL영어관련경력단절자8주부산지역 대학교 관련학과 졸업예정자 대상 무료