Overview

Dataset statistics

Number of variables13
Number of observations44
Missing cells1
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory108.0 B

Variable types

Text3
Categorical9
Numeric1

Dataset

Description부산광역시금정구_노인복지관프로그램_20220914
Author부산광역시 금정구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3073019

Alerts

주소 has constant value ""Constant
이용대상 has constant value ""Constant
신청장소 has constant value ""Constant
문의 전화 has constant value ""Constant
정원(명) is highly overall correlated with 강사명High correlation
요일 is highly overall correlated with 강사명 and 1 other fieldsHigh correlation
강사명 is highly overall correlated with 정원(명) and 4 other fieldsHigh correlation
교육장소 is highly overall correlated with 강사명High correlation
교육비 is highly overall correlated with 강사명 and 1 other fieldsHigh correlation
비고 is highly overall correlated with 요일 and 2 other fieldsHigh correlation
정원(명) has 1 (2.3%) missing valuesMissing

Reproduction

Analysis started2023-12-10 16:54:14.307688
Analysis finished2023-12-10 16:54:15.573868
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct42
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-11T01:54:15.811009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length7.6136364
Min length2

Characters and Unicode

Total characters335
Distinct characters98
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)90.9%

Sample

1st row라인댄스 기초
2nd row라인댄스 심화
3rd row요가교실 1반
4th row요가교실 2반
5th row단전호흡
ValueCountFrequency (%)
초급 4
 
5.4%
중급 4
 
5.4%
영어교실 3
 
4.1%
연필그림 3
 
4.1%
스마트폰 3
 
4.1%
1반 3
 
4.1%
2반 3
 
4.1%
활용 3
 
4.1%
웰빙댄스 3
 
4.1%
스포츠댄스(초급 2
 
2.7%
Other values (33) 43
58.1%
2023-12-11T01:54:16.488194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30
 
9.0%
19
 
5.7%
16
 
4.8%
13
 
3.9%
13
 
3.9%
( 10
 
3.0%
10
 
3.0%
) 10
 
3.0%
9
 
2.7%
9
 
2.7%
Other values (88) 196
58.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 270
80.6%
Space Separator 30
 
9.0%
Open Punctuation 10
 
3.0%
Close Punctuation 10
 
3.0%
Decimal Number 9
 
2.7%
Uppercase Letter 3
 
0.9%
Other Punctuation 3
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
19
 
7.0%
16
 
5.9%
13
 
4.8%
13
 
4.8%
10
 
3.7%
9
 
3.3%
9
 
3.3%
9
 
3.3%
7
 
2.6%
7
 
2.6%
Other values (78) 158
58.5%
Decimal Number
ValueCountFrequency (%)
1 4
44.4%
2 4
44.4%
3 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
S 2
66.7%
N 1
33.3%
Other Punctuation
ValueCountFrequency (%)
· 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 270
80.6%
Common 62
 
18.5%
Latin 3
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
19
 
7.0%
16
 
5.9%
13
 
4.8%
13
 
4.8%
10
 
3.7%
9
 
3.3%
9
 
3.3%
9
 
3.3%
7
 
2.6%
7
 
2.6%
Other values (78) 158
58.5%
Common
ValueCountFrequency (%)
30
48.4%
( 10
 
16.1%
) 10
 
16.1%
1 4
 
6.5%
2 4
 
6.5%
· 2
 
3.2%
3 1
 
1.6%
, 1
 
1.6%
Latin
ValueCountFrequency (%)
S 2
66.7%
N 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 270
80.6%
ASCII 63
 
18.8%
None 2
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30
47.6%
( 10
 
15.9%
) 10
 
15.9%
1 4
 
6.3%
2 4
 
6.3%
S 2
 
3.2%
3 1
 
1.6%
, 1
 
1.6%
N 1
 
1.6%
Hangul
ValueCountFrequency (%)
19
 
7.0%
16
 
5.9%
13
 
4.8%
13
 
4.8%
10
 
3.7%
9
 
3.3%
9
 
3.3%
9
 
3.3%
7
 
2.6%
7
 
2.6%
Other values (78) 158
58.5%
None
ValueCountFrequency (%)
· 2
100.0%
Distinct26
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-11T01:54:16.962615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters396
Distinct characters9
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)29.5%

Sample

1st row 09:00:00
2nd row 09:00:00
3rd row 13:00:00
4th row 14:05:00
5th row 15:10:00
ValueCountFrequency (%)
09:00:00 4
 
9.1%
13:00:00 4
 
9.1%
10:00:00 3
 
6.8%
09:10:00 2
 
4.5%
14:30:00 2
 
4.5%
12:30:00 2
 
4.5%
10:30:00 2
 
4.5%
14:10:00 2
 
4.5%
09:30:00 2
 
4.5%
09:25:00 2
 
4.5%
Other values (16) 19
43.2%
2023-12-11T01:54:17.635967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 155
39.1%
: 88
22.2%
1 46
 
11.6%
44
 
11.1%
3 22
 
5.6%
5 14
 
3.5%
9 11
 
2.8%
2 10
 
2.5%
4 6
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 264
66.7%
Other Punctuation 88
 
22.2%
Space Separator 44
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 155
58.7%
1 46
 
17.4%
3 22
 
8.3%
5 14
 
5.3%
9 11
 
4.2%
2 10
 
3.8%
4 6
 
2.3%
Other Punctuation
ValueCountFrequency (%)
: 88
100.0%
Space Separator
ValueCountFrequency (%)
44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 396
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 155
39.1%
: 88
22.2%
1 46
 
11.6%
44
 
11.1%
3 22
 
5.6%
5 14
 
3.5%
9 11
 
2.8%
2 10
 
2.5%
4 6
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 396
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 155
39.1%
: 88
22.2%
1 46
 
11.6%
44
 
11.1%
3 22
 
5.6%
5 14
 
3.5%
9 11
 
2.8%
2 10
 
2.5%
4 6
 
1.5%
Distinct29
Distinct (%)65.9%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-11T01:54:17.980998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters396
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)38.6%

Sample

1st row 09:50:00
2nd row 09:50:00
3rd row 13:50:00
4th row 14:55:00
5th row 16:00:00
ValueCountFrequency (%)
11:20:00 3
 
6.8%
14:20:00 3
 
6.8%
11:00:00 3
 
6.8%
16:00:00 2
 
4.5%
15:20:00 2
 
4.5%
17:00:00 2
 
4.5%
13:50:00 2
 
4.5%
11:30:00 2
 
4.5%
14:55:00 2
 
4.5%
11:10:00 2
 
4.5%
Other values (19) 21
47.7%
2023-12-11T01:54:18.537483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 140
35.4%
: 88
22.2%
1 61
15.4%
44
 
11.1%
5 24
 
6.1%
2 15
 
3.8%
4 8
 
2.0%
3 8
 
2.0%
6 3
 
0.8%
9 2
 
0.5%
Other values (2) 3
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 264
66.7%
Other Punctuation 88
 
22.2%
Space Separator 44
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 140
53.0%
1 61
23.1%
5 24
 
9.1%
2 15
 
5.7%
4 8
 
3.0%
3 8
 
3.0%
6 3
 
1.1%
9 2
 
0.8%
7 2
 
0.8%
8 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
: 88
100.0%
Space Separator
ValueCountFrequency (%)
44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 396
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 140
35.4%
: 88
22.2%
1 61
15.4%
44
 
11.1%
5 24
 
6.1%
2 15
 
3.8%
4 8
 
2.0%
3 8
 
2.0%
6 3
 
0.8%
9 2
 
0.5%
Other values (2) 3
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 396
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 140
35.4%
: 88
22.2%
1 61
15.4%
44
 
11.1%
5 24
 
6.1%
2 15
 
3.8%
4 8
 
2.0%
3 8
 
2.0%
6 3
 
0.8%
9 2
 
0.5%
Other values (2) 3
 
0.8%

요일
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Memory size484.0 B
월요일+수요일
금요일
목요일
화요일+목요일
월요일
Other values (5)
12 

Length

Max length19
Median length3
Mean length4.7272727
Min length3

Unique

Unique2 ?
Unique (%)4.5%

Sample

1st row금요일
2nd row월요일+수요일
3rd row월요일+수요일
4th row월요일+수요일
5th row월요일+수요일

Common Values

ValueCountFrequency (%)
월요일+수요일 9
20.5%
금요일 7
15.9%
목요일 6
13.6%
화요일+목요일 5
11.4%
월요일 5
11.4%
화요일 4
9.1%
수요일 4
9.1%
토요일 2
 
4.5%
화요일+금요일 1
 
2.3%
월요일+화요일+수요일+목요일+금요일 1
 
2.3%

Length

2023-12-11T01:54:18.808358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:54:19.064462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
월요일+수요일 9
20.5%
금요일 7
15.9%
목요일 6
13.6%
화요일+목요일 5
11.4%
월요일 5
11.4%
화요일 4
9.1%
수요일 4
9.1%
토요일 2
 
4.5%
화요일+금요일 1
 
2.3%
월요일+화요일+수요일+목요일+금요일 1
 
2.3%

정원(명)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct9
Distinct (%)20.9%
Missing1
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean29.627907
Minimum16
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-11T01:54:19.335166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile18
Q118
median22
Q325
95-th percentile50
Maximum150
Range134
Interquartile range (IQR)7

Descriptive statistics

Standard deviation22.171435
Coefficient of variation (CV)0.74832944
Kurtosis20.831394
Mean29.627907
Median Absolute Deviation (MAD)4
Skewness4.0840126
Sum1274
Variance491.57254
MonotonicityNot monotonic
2023-12-11T01:54:19.586338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
18 10
22.7%
50 8
18.2%
25 7
15.9%
22 7
15.9%
20 5
11.4%
24 2
 
4.5%
16 2
 
4.5%
150 1
 
2.3%
35 1
 
2.3%
(Missing) 1
 
2.3%
ValueCountFrequency (%)
16 2
 
4.5%
18 10
22.7%
20 5
11.4%
22 7
15.9%
24 2
 
4.5%
25 7
15.9%
35 1
 
2.3%
50 8
18.2%
150 1
 
2.3%
ValueCountFrequency (%)
150 1
 
2.3%
50 8
18.2%
35 1
 
2.3%
25 7
15.9%
24 2
 
4.5%
22 7
15.9%
20 5
11.4%
18 10
22.7%
16 2
 
4.5%

강사명
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
나영희
석상천
정우경
설라경
박현기
Other values (15)
23 

Length

Max length6
Median length3
Mean length2.9318182
Min length1

Unique

Unique8 ?
Unique (%)18.2%

Sample

1st row나영희
2nd row나영희
3rd row박우진
4th row박우진
5th row강명란

Common Values

ValueCountFrequency (%)
나영희 9
20.5%
석상천 3
 
6.8%
정우경 3
 
6.8%
설라경 3
 
6.8%
박현기 3
 
6.8%
황명숙 3
 
6.8%
- 2
 
4.5%
권영현 2
 
4.5%
김경혜 2
 
4.5%
박우진 2
 
4.5%
Other values (10) 12
27.3%

Length

2023-12-11T01:54:19.943622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
나영희 9
20.5%
정우경 3
 
6.8%
설라경 3
 
6.8%
박현기 3
 
6.8%
황명숙 3
 
6.8%
석상천 3
 
6.8%
박우진 2
 
4.5%
미정 2
 
4.5%
윤재열 2
 
4.5%
김경혜 2
 
4.5%
Other values (10) 12
27.3%

주소
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
부산광역시 금정구 청룡예전로 110 (청룡동)
44 

Length

Max length25
Median length25
Mean length25
Min length25

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시 금정구 청룡예전로 110 (청룡동)
2nd row부산광역시 금정구 청룡예전로 110 (청룡동)
3rd row부산광역시 금정구 청룡예전로 110 (청룡동)
4th row부산광역시 금정구 청룡예전로 110 (청룡동)
5th row부산광역시 금정구 청룡예전로 110 (청룡동)

Common Values

ValueCountFrequency (%)
부산광역시 금정구 청룡예전로 110 (청룡동) 44
100.0%

Length

2023-12-11T01:54:20.167064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:54:20.360451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 44
20.0%
금정구 44
20.0%
청룡예전로 44
20.0%
110 44
20.0%
청룡동 44
20.0%

교육장소
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Memory size484.0 B
2층 대강당
19 
2층 정보화교실
10 
3층 프로그램 1실
3층 프로그램2실
3층 프로그램 2실
Other values (2)

Length

Max length10
Median length9
Mean length7.6363636
Min length6

Unique

Unique2 ?
Unique (%)4.5%

Sample

1st row2층 대강당
2nd row2층 대강당
3rd row2층 대강당
4th row2층 대강당
5th row2층 대강당

Common Values

ValueCountFrequency (%)
2층 대강당 19
43.2%
2층 정보화교실 10
22.7%
3층 프로그램 1실 5
 
11.4%
3층 프로그램2실 5
 
11.4%
3층 프로그램 2실 3
 
6.8%
3층 프로그램1실 1
 
2.3%
2·3층 휴게실 1
 
2.3%

Length

2023-12-11T01:54:20.611200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:54:20.890406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2층 29
30.2%
대강당 19
19.8%
3층 14
14.6%
정보화교실 10
 
10.4%
프로그램 8
 
8.3%
1실 5
 
5.2%
프로그램2실 5
 
5.2%
2실 3
 
3.1%
프로그램1실 1
 
1.0%
2·3층 1
 
1.0%

교육비
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size484.0 B
3개월 / 25000원
23 
3개월 / 30000원
3개월 / 12500원
3개월 / 15000원
무료

Length

Max length12
Median length12
Mean length11.318182
Min length2

Unique

Unique1 ?
Unique (%)2.3%

Sample

1st row3개월 / 12500원
2nd row3개월 / 25000원
3rd row3개월 / 25000원
4th row3개월 / 25000원
5th row3개월 / 25000원

Common Values

ValueCountFrequency (%)
3개월 / 25000원 23
52.3%
3개월 / 30000원 7
 
15.9%
3개월 / 12500원 5
 
11.4%
3개월 / 15000원 5
 
11.4%
무료 3
 
6.8%
3개월 / 20800원 1
 
2.3%

Length

2023-12-11T01:54:21.136138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:54:21.364311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3개월 41
32.5%
41
32.5%
25000원 23
18.3%
30000원 7
 
5.6%
12500원 5
 
4.0%
15000원 5
 
4.0%
무료 3
 
2.4%
20800원 1
 
0.8%

이용대상
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
금정구거주 만 60세 이상
44 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row금정구거주 만 60세 이상
2nd row금정구거주 만 60세 이상
3rd row금정구거주 만 60세 이상
4th row금정구거주 만 60세 이상
5th row금정구거주 만 60세 이상

Common Values

ValueCountFrequency (%)
금정구거주 만 60세 이상 44
100.0%

Length

2023-12-11T01:54:21.611646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:54:21.793317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
금정구거주 44
25.0%
44
25.0%
60세 44
25.0%
이상 44
25.0%

신청장소
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
복지관1층사무실
44 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row복지관1층사무실
2nd row복지관1층사무실
3rd row복지관1층사무실
4th row복지관1층사무실
5th row복지관1층사무실

Common Values

ValueCountFrequency (%)
복지관1층사무실 44
100.0%

Length

2023-12-11T01:54:21.995491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:54:22.204253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복지관1층사무실 44
100.0%

문의 전화
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
051-792-7200
44 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row051-792-7200
2nd row051-792-7200
3rd row051-792-7200
4th row051-792-7200
5th row051-792-7200

Common Values

ValueCountFrequency (%)
051-792-7200 44
100.0%

Length

2023-12-11T01:54:22.439014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:54:22.620901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
051-792-7200 44
100.0%

비고
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
26 
코로나상황 중단 중
14 
4B연필,5절스케치북,지우개
기타 개인준비
 
1

Length

Max length15
Median length4
Mean length6.7272727
Min length4

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
59.1%
코로나상황 중단 중 14
31.8%
4B연필,5절스케치북,지우개 3
 
6.8%
기타 개인준비 1
 
2.3%

Length

2023-12-11T01:54:22.824891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:54:23.059812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
35.6%
코로나상황 14
19.2%
중단 14
19.2%
14
19.2%
4b연필,5절스케치북,지우개 3
 
4.1%
기타 1
 
1.4%
개인준비 1
 
1.4%

Interactions

2023-12-11T01:54:14.920985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:54:23.236370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
강좌명교육시작시간교육종료시간요일정원(명)강사명교육장소교육비비고
강좌명1.0000.8930.8680.0001.0001.0001.0001.0001.000
교육시작시간0.8931.0000.9720.4970.0000.6900.0000.7320.548
교육종료시간0.8680.9721.0000.7680.9800.8920.7360.8490.000
요일0.0000.4970.7681.0000.5330.9400.7390.6760.769
정원(명)1.0000.0000.9800.5331.0000.9140.1740.6820.127
강사명1.0000.6900.8920.9400.9141.0000.8950.9711.000
교육장소1.0000.0000.7360.7390.1740.8951.0000.5300.363
교육비1.0000.7320.8490.6760.6820.9710.5301.0000.784
비고1.0000.5480.0000.7690.1271.0000.3630.7841.000
2023-12-11T01:54:23.465701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
강사명요일교육장소비고교육비
강사명1.0000.5150.5280.8560.704
요일0.5151.0000.4710.5960.411
교육장소0.5280.4711.0000.3260.341
비고0.8560.5960.3261.0000.811
교육비0.7040.4110.3410.8111.000
2023-12-11T01:54:23.645674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정원(명)요일강사명교육장소교육비비고
정원(명)1.0000.3400.5060.0960.4970.049
요일0.3401.0000.5150.4710.4110.596
강사명0.5060.5151.0000.5280.7040.856
교육장소0.0960.4710.5281.0000.3410.326
교육비0.4970.4110.7040.3411.0000.811
비고0.0490.5960.8560.3260.8111.000

Missing values

2023-12-11T01:54:15.147380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:54:15.458500image/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

강좌명교육시작시간교육종료시간요일정원(명)강사명주소교육장소교육비이용대상신청장소문의 전화비고
0라인댄스 기초09:00:0009:50:00금요일25나영희부산광역시 금정구 청룡예전로 110 (청룡동)2층 대강당3개월 / 12500원금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>
1라인댄스 심화09:00:0009:50:00월요일+수요일25나영희부산광역시 금정구 청룡예전로 110 (청룡동)2층 대강당3개월 / 25000원금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>
2요가교실 1반13:00:0013:50:00월요일+수요일20박우진부산광역시 금정구 청룡예전로 110 (청룡동)2층 대강당3개월 / 25000원금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>
3요가교실 2반14:05:0014:55:00월요일+수요일20박우진부산광역시 금정구 청룡예전로 110 (청룡동)2층 대강당3개월 / 25000원금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>
4단전호흡15:10:0016:00:00월요일+수요일25강명란부산광역시 금정구 청룡예전로 110 (청룡동)2층 대강당3개월 / 25000원금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>
5웰빙댄스 초급09:25:0010:15:00화요일+목요일50나영희부산광역시 금정구 청룡예전로 110 (청룡동)2층 대강당3개월 / 30000원금정구거주 만 60세 이상복지관1층사무실051-792-7200코로나상황 중단 중
6웰빙댄스 중급10:20:0011:10:00화요일+목요일50나영희부산광역시 금정구 청룡예전로 110 (청룡동)2층 대강당3개월 / 30000원금정구거주 만 60세 이상복지관1층사무실051-792-7200코로나상황 중단 중
7웰빙댄스 고급11:15:0012:05:00화요일+목요일50나영희부산광역시 금정구 청룡예전로 110 (청룡동)2층 대강당3개월 / 30000원금정구거주 만 60세 이상복지관1층사무실051-792-7200코로나상황 중단 중
8신바람체조 기초12:20:0013:10:00화요일+목요일25김경혜부산광역시 금정구 청룡예전로 110 (청룡동)2층 대강당3개월 / 25000원금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>
9신바람체조 심화13:25:0014:15:00화요일+목요일25김경혜부산광역시 금정구 청룡예전로 110 (청룡동)2층 대강당3개월 / 25000원금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>
강좌명교육시작시간교육종료시간요일정원(명)강사명주소교육장소교육비이용대상신청장소문의 전화비고
34스마트폰 활용 초급(월)10:00:0011:30:00월요일18권영현부산광역시 금정구 청룡예전로 110 (청룡동)2층 정보화교실3개월 / 12500원금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>
35스마트폰 활용 초급(수)10:00:0011:30:00수요일18권영현부산광역시 금정구 청룡예전로 110 (청룡동)2층 정보화교실3개월 / 12500원금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>
36스마트폰 활용 중급13:00:0014:30:00월요일18정영화부산광역시 금정구 청룡예전로 110 (청룡동)2층 정보화교실3개월 / 12500원금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>
37컴퓨터교실14:05:0014:55:00목요일18석상천부산광역시 금정구 청룡예전로 110 (청룡동)2층 정보화교실3개월 / 12500원금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>
38영상제작(파워디렉터) 1반15:10:0017:00:00목요일18석상천부산광역시 금정구 청룡예전로 110 (청룡동)2층 정보화교실3개월 / 25000원금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>
39영상제작(파워디렉터) 2반14:10:0016:00:00수요일18석상천부산광역시 금정구 청룡예전로 110 (청룡동)2층 정보화교실3개월 / 25000원금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>
40문서활용교실09:30:0011:20:00목요일18박현기부산광역시 금정구 청룡예전로 110 (청룡동)2층 정보화교실3개월 / 25000원금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>
41컴퓨터활용교실09:30:0011:20:00금요일18박현기부산광역시 금정구 청룡예전로 110 (청룡동)2층 정보화교실3개월 / 25000원금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>
42인터넷,SNS활용교실13:10:0015:00:00금요일18박현기부산광역시 금정구 청룡예전로 110 (청룡동)2층 정보화교실3개월 / 25000원금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>
43소담책방09:00:0018:00:00월요일+화요일+수요일+목요일+금요일<NA>미정부산광역시 금정구 청룡예전로 110 (청룡동)2·3층 휴게실무료금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>