Overview

Dataset statistics

Number of variables13
Number of observations39
Missing cells9
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory108.4 B

Variable types

Text4
Categorical8
Numeric1

Dataset

Description부산광역시금정구_노인복지관프로그램_20230918
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
요일 is highly overall correlated with 교육비 and 1 other fieldsHigh correlation
교육비 is highly overall correlated with 요일 and 1 other fieldsHigh correlation
비고 is highly overall correlated with 정원(명) and 3 other fieldsHigh correlation
교육장소 is highly overall correlated with 비고High correlation
정원(명) is highly overall correlated with 비고High correlation
비고 is highly imbalanced (60.9%)Imbalance
정원(명) has 1 (2.6%) missing valuesMissing
강사명 has 8 (20.5%) missing valuesMissing
강좌명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:54:02.659092
Analysis finished2023-12-10 16:54:04.256351
Duration1.6 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

강좌명
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-11T01:54:04.587621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length40
Mean length13.051282
Min length2

Characters and Unicode

Total characters509
Distinct characters170
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)100.0%

Sample

1st row라인댄스 기초
2nd row라인댄스 심화
3rd row요가교실 1반
4th row요가교실 2반
5th row단전호흡
ValueCountFrequency (%)
활용 4
 
3.8%
스마트폰 4
 
3.8%
연필그림 3
 
2.9%
중급 3
 
2.9%
영어교실 3
 
2.9%
프로그램 3
 
2.9%
1반 3
 
2.9%
2반 3
 
2.9%
기초 2
 
1.9%
똑띠 2
 
1.9%
Other values (66) 75
71.4%
2023-12-11T01:54:05.319251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
66
 
13.0%
' 14
 
2.8%
실 11
 
2.2%
급 11
 
2.2%
그 10
 
2.0%
교 10
 
2.0%
반 9
 
1.8%
스 8
 
1.6%
활 8
 
1.6%
로 8
 
1.6%
Other values (160) 354
69.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 376
73.9%
Space Separator 66
 
13.0%
Other Punctuation 25
 
4.9%
Lowercase Letter 12
 
2.4%
Decimal Number 11
 
2.2%
Uppercase Letter 7
 
1.4%
Close Punctuation 5
 
1.0%
Open Punctuation 5
 
1.0%
Dash Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
실 11
 
2.9%
급 11
 
2.9%
그 10
 
2.7%
교 10
 
2.7%
반 9
 
2.4%
스 8
 
2.1%
활 8
 
2.1%
로 8
 
2.1%
중 6
 
1.6%
리 6
 
1.6%
Other values (138) 289
76.9%
Lowercase Letter
ValueCountFrequency (%)
o 3
25.0%
e 3
25.0%
r 2
16.7%
a 1
 
8.3%
w 1
 
8.3%
n 1
 
8.3%
b 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
' 14
56.0%
/ 5
 
20.0%
! 3
 
12.0%
: 2
 
8.0%
· 1
 
4.0%
Decimal Number
ValueCountFrequency (%)
1 5
45.5%
2 4
36.4%
3 2
 
18.2%
Uppercase Letter
ValueCountFrequency (%)
S 4
57.1%
G 2
28.6%
N 1
 
14.3%
Space Separator
ValueCountFrequency (%)
66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 376
73.9%
Common 114
 
22.4%
Latin 19
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
실 11
 
2.9%
급 11
 
2.9%
그 10
 
2.7%
교 10
 
2.7%
반 9
 
2.4%
스 8
 
2.1%
활 8
 
2.1%
로 8
 
2.1%
중 6
 
1.6%
리 6
 
1.6%
Other values (138) 289
76.9%
Common
ValueCountFrequency (%)
66
57.9%
' 14
 
12.3%
) 5
 
4.4%
( 5
 
4.4%
/ 5
 
4.4%
1 5
 
4.4%
2 4
 
3.5%
! 3
 
2.6%
3 2
 
1.8%
- 2
 
1.8%
Other values (2) 3
 
2.6%
Latin
ValueCountFrequency (%)
S 4
21.1%
o 3
15.8%
e 3
15.8%
G 2
10.5%
r 2
10.5%
a 1
 
5.3%
w 1
 
5.3%
n 1
 
5.3%
b 1
 
5.3%
N 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 376
73.9%
ASCII 132
 
25.9%
None 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
66
50.0%
' 14
 
10.6%
) 5
 
3.8%
( 5
 
3.8%
/ 5
 
3.8%
1 5
 
3.8%
S 4
 
3.0%
2 4
 
3.0%
o 3
 
2.3%
e 3
 
2.3%
Other values (11) 18
 
13.6%
Hangul
ValueCountFrequency (%)
실 11
 
2.9%
급 11
 
2.9%
그 10
 
2.7%
교 10
 
2.7%
반 9
 
2.4%
스 8
 
2.1%
활 8
 
2.1%
로 8
 
2.1%
중 6
 
1.6%
리 6
 
1.6%
Other values (138) 289
76.9%
None
ValueCountFrequency (%)
· 1
100.0%

교육시작시간
Text

Distinct21
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-11T01:54:05.634604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters351
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 (%)33.3%

Sample

1st row 09:00:00
2nd row 09:00:00
3rd row 13:00:00
4th row 14:00:00
5th row 15:00:00
ValueCountFrequency (%)
14:00:00 5
12.8%
09:00:00 4
 
10.3%
10:00:00 4
 
10.3%
14:10:00 3
 
7.7%
15:00:00 3
 
7.7%
13:00:00 3
 
7.7%
11:25:00 2
 
5.1%
09:30:00 2
 
5.1%
12:10:00 1
 
2.6%
13:10:00 1
 
2.6%
Other values (11) 11
28.2%
2023-12-11T01:54:06.176114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 148
42.2%
: 78
22.2%
39
 
11.1%
1 39
 
11.1%
4 11
 
3.1%
5 10
 
2.8%
3 10
 
2.8%
9 9
 
2.6%
2 7
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 234
66.7%
Other Punctuation 78
 
22.2%
Space Separator 39
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 148
63.2%
1 39
 
16.7%
4 11
 
4.7%
5 10
 
4.3%
3 10
 
4.3%
9 9
 
3.8%
2 7
 
3.0%
Other Punctuation
ValueCountFrequency (%)
: 78
100.0%
Space Separator
ValueCountFrequency (%)
39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 351
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 148
42.2%
: 78
22.2%
39
 
11.1%
1 39
 
11.1%
4 11
 
3.1%
5 10
 
2.8%
3 10
 
2.8%
9 9
 
2.6%
2 7
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 351
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 148
42.2%
: 78
22.2%
39
 
11.1%
1 39
 
11.1%
4 11
 
3.1%
5 10
 
2.8%
3 10
 
2.8%
9 9
 
2.6%
2 7
 
2.0%

교육종료시간
Text

Distinct25
Distinct (%)64.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-11T01:54:06.512299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters351
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

Unique16 ?
Unique (%)41.0%

Sample

1st row 09:50:00
2nd row 09:50:00
3rd row 13:50:00
4th row 14:50:00
5th row 15:50:00
ValueCountFrequency (%)
16:00:00 6
 
15.4%
17:00:00 3
 
7.7%
09:50:00 2
 
5.1%
14:50:00 2
 
5.1%
11:20:00 2
 
5.1%
11:50:00 2
 
5.1%
11:30:00 2
 
5.1%
12:15:00 2
 
5.1%
11:00:00 2
 
5.1%
13:50:00 1
 
2.6%
Other values (15) 15
38.5%
2023-12-11T01:54:07.009256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 131
37.3%
: 78
22.2%
1 53
15.1%
39
 
11.1%
5 19
 
5.4%
2 7
 
2.0%
6 6
 
1.7%
4 6
 
1.7%
3 6
 
1.7%
7 3
 
0.9%
Other values (2) 3
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 234
66.7%
Other Punctuation 78
 
22.2%
Space Separator 39
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 131
56.0%
1 53
22.6%
5 19
 
8.1%
2 7
 
3.0%
6 6
 
2.6%
4 6
 
2.6%
3 6
 
2.6%
7 3
 
1.3%
9 2
 
0.9%
8 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
: 78
100.0%
Space Separator
ValueCountFrequency (%)
39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 351
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 131
37.3%
: 78
22.2%
1 53
15.1%
39
 
11.1%
5 19
 
5.4%
2 7
 
2.0%
6 6
 
1.7%
4 6
 
1.7%
3 6
 
1.7%
7 3
 
0.9%
Other values (2) 3
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 351
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 131
37.3%
: 78
22.2%
1 53
15.1%
39
 
11.1%
5 19
 
5.4%
2 7
 
2.0%
6 6
 
1.7%
4 6
 
1.7%
3 6
 
1.7%
7 3
 
0.9%
Other values (2) 3
 
0.9%

요일
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
월요일+수요일
8 
금요일
6 
목요일
6 
월요일
5 
화요일+목요일
4 
Other values (4)
10 

Length

Max length19
Median length3
Mean length4.7435897
Min length3

Unique

Unique2 ?
Unique (%)5.1%

Sample

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

Common Values

ValueCountFrequency (%)
월요일+수요일 8
20.5%
금요일 6
15.4%
목요일 6
15.4%
월요일 5
12.8%
화요일+목요일 4
10.3%
화요일 4
10.3%
수요일 4
10.3%
화요일+금요일 1
 
2.6%
월요일+화요일+수요일+목요일+금요일 1
 
2.6%

Length

2023-12-11T01:54:07.268777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:54:07.507209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
월요일+수요일 8
20.5%
금요일 6
15.4%
목요일 6
15.4%
월요일 5
12.8%
화요일+목요일 4
10.3%
화요일 4
10.3%
수요일 4
10.3%
화요일+금요일 1
 
2.6%
월요일+화요일+수요일+목요일+금요일 1
 
2.6%

정원(명)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct12
Distinct (%)31.6%
Missing1
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean27.263158
Minimum10
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2023-12-11T01:54:07.729380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile15
Q118
median21
Q330
95-th percentile50
Maximum150
Range140
Interquartile range (IQR)12

Descriptive statistics

Standard deviation22.662845
Coefficient of variation (CV)0.83126266
Kurtosis24.220952
Mean27.263158
Median Absolute Deviation (MAD)3.5
Skewness4.5661679
Sum1036
Variance513.60455
MonotonicityNot monotonic
2023-12-11T01:54:07.939312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
18 10
25.6%
30 7
17.9%
22 5
12.8%
50 3
 
7.7%
20 3
 
7.7%
15 3
 
7.7%
16 2
 
5.1%
40 1
 
2.6%
150 1
 
2.6%
25 1
 
2.6%
Other values (2) 2
 
5.1%
ValueCountFrequency (%)
10 1
 
2.6%
15 3
 
7.7%
16 2
 
5.1%
18 10
25.6%
20 3
 
7.7%
22 5
12.8%
24 1
 
2.6%
25 1
 
2.6%
30 7
17.9%
40 1
 
2.6%
ValueCountFrequency (%)
150 1
 
2.6%
50 3
 
7.7%
40 1
 
2.6%
30 7
17.9%
25 1
 
2.6%
24 1
 
2.6%
22 5
12.8%
20 3
 
7.7%
18 10
25.6%
16 2
 
5.1%

강사명
Text

MISSING 

Distinct17
Distinct (%)54.8%
Missing8
Missing (%)20.5%
Memory size444.0 B
2023-12-11T01:54:08.192711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters93
Distinct characters29
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)25.8%

Sample

1st row나*희
2nd row나*희
3rd row박*진
4th row박*진
5th row강*란
ValueCountFrequency (%)
나*희 4
12.9%
정*경 3
9.7%
박*기 3
9.7%
황*숙 3
9.7%
석*천 2
 
6.5%
박*진 2
 
6.5%
김*혜 2
 
6.5%
정*화 2
 
6.5%
권*현 2
 
6.5%
강*란 1
 
3.2%
Other values (7) 7
22.6%
2023-12-11T01:54:08.682129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 31
33.3%
박 6
 
6.5%
정 5
 
5.4%
나 4
 
4.3%
희 4
 
4.3%
경 4
 
4.3%
기 3
 
3.2%
김 3
 
3.2%
진 3
 
3.2%
숙 3
 
3.2%
Other values (19) 27
29.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62
66.7%
Other Punctuation 31
33.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
박 6
 
9.7%
정 5
 
8.1%
나 4
 
6.5%
희 4
 
6.5%
경 4
 
6.5%
기 3
 
4.8%
김 3
 
4.8%
진 3
 
4.8%
숙 3
 
4.8%
황 3
 
4.8%
Other values (18) 24
38.7%
Other Punctuation
ValueCountFrequency (%)
* 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62
66.7%
Common 31
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
박 6
 
9.7%
정 5
 
8.1%
나 4
 
6.5%
희 4
 
6.5%
경 4
 
6.5%
기 3
 
4.8%
김 3
 
4.8%
진 3
 
4.8%
숙 3
 
4.8%
황 3
 
4.8%
Other values (18) 24
38.7%
Common
ValueCountFrequency (%)
* 31
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62
66.7%
ASCII 31
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 31
100.0%
Hangul
ValueCountFrequency (%)
박 6
 
9.7%
정 5
 
8.1%
나 4
 
6.5%
희 4
 
6.5%
경 4
 
6.5%
기 3
 
4.8%
김 3
 
4.8%
진 3
 
4.8%
숙 3
 
4.8%
황 3
 
4.8%
Other values (18) 24
38.7%

주소
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
부산광역시 금정구 청룡예전로 110 (청룡동)
39 

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) 39
100.0%

Length

2023-12-11T01:54:08.914784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:54:09.106780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 39
20.0%
금정구 39
20.0%
청룡예전로 39
20.0%
110 39
20.0%
청룡동 39
20.0%

교육장소
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
2층 대강당
13 
2층 정보화교실
9 
3층 프로그램 1실
4 
3층 프로그램2실
4 
3층 프로그램1실
4 
Other values (4)
5 

Length

Max length10
Median length9
Mean length7.8461538
Min length6

Unique

Unique3 ?
Unique (%)7.7%

Sample

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

Common Values

ValueCountFrequency (%)
2층 대강당 13
33.3%
2층 정보화교실 9
23.1%
3층 프로그램 1실 4
 
10.3%
3층 프로그램2실 4
 
10.3%
3층 프로그램1실 4
 
10.3%
3층 프로그램 2실 2
 
5.1%
2·3층 휴게실 1
 
2.6%
1층 경로식당 1
 
2.6%
신중년더채움학습관 1
 
2.6%

Length

2023-12-11T01:54:09.324949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:54:09.553169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2층 22
26.5%
3층 14
16.9%
대강당 13
15.7%
정보화교실 9
10.8%
프로그램 6
 
7.2%
1실 4
 
4.8%
프로그램2실 4
 
4.8%
프로그램1실 4
 
4.8%
2실 2
 
2.4%
2·3층 1
 
1.2%
Other values (4) 4
 
4.8%

교육비
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
3개월 / 30,000원
20 
무료
10 
3개월 / 15,000원
7 
3개월 / 25,000원
 
2

Length

Max length13
Median length13
Mean length10.179487
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3개월 / 15,000원
2nd row3개월 / 30,000원
3rd row3개월 / 30,000원
4th row3개월 / 30,000원
5th row3개월 / 30,000원

Common Values

ValueCountFrequency (%)
3개월 / 30,000원 20
51.3%
무료 10
25.6%
3개월 / 15,000원 7
 
17.9%
3개월 / 25,000원 2
 
5.1%

Length

2023-12-11T01:54:09.852246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:54:10.068679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3개월 29
29.9%
29
29.9%
30,000원 20
20.6%
무료 10
 
10.3%
15,000원 7
 
7.2%
25,000원 2
 
2.1%

이용대상
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
금정구거주 만 60세 이상
39 

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 39
100.0%

Length

2023-12-11T01:54:10.261944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:54:10.432347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
금정구거주 39
25.0%
만 39
25.0%
60세 39
25.0%
이상 39
25.0%

신청장소
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
복지관1층사무실
39 

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 39
100.0%

Length

2023-12-11T01:54:10.753475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:54:10.947629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복지관1층사무실 39
100.0%

문의 전화
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
051-792-7200
39 

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 39
100.0%

Length

2023-12-11T01:54:11.148848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:54:11.350465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
051-792-7200 39
100.0%

비고
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
36 
4B연필,5절스케치북,지우개
 
3

Length

Max length15
Median length4
Mean length4.8461538
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 36
92.3%
4B연필,5절스케치북,지우개 3
 
7.7%

Length

2023-12-11T01:54:11.541677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:54:11.753178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
92.3%
4b연필,5절스케치북,지우개 3
 
7.7%

Interactions

2023-12-11T01:54:03.418211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:54:11.895073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
강좌명교육시작시간교육종료시간요일정원(명)강사명교육장소교육비
강좌명1.0001.0001.0001.0001.0001.0001.0001.000
교육시작시간1.0001.0000.9610.5250.7870.8480.0000.578
교육종료시간1.0000.9611.0000.8250.6570.9330.7460.654
요일1.0000.5250.8251.0000.5230.9170.8320.730
정원(명)1.0000.7870.6570.5231.0000.9500.7810.383
강사명1.0000.8480.9330.9170.9501.0000.9270.969
교육장소1.0000.0000.7460.8320.7810.9271.0000.502
교육비1.0000.5780.6540.7300.3830.9690.5021.000
2023-12-11T01:54:12.094747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
요일교육비비고교육장소
요일1.0000.5241.0000.403
교육비0.5241.0001.0000.312
비고1.0001.0001.0001.000
교육장소0.4030.3121.0001.000
2023-12-11T01:54:12.642718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정원(명)요일교육장소교육비비고
정원(명)1.0000.2660.3960.2111.000
요일0.2661.0000.4030.5241.000
교육장소0.3960.4031.0000.3121.000
교육비0.2110.5240.3121.0001.000
비고1.0001.0001.0001.0001.000

Missing values

2023-12-11T01:54:03.631264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:54:03.940867image/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.
2023-12-11T01:54:04.170126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

강좌명교육시작시간교육종료시간요일정원(명)강사명주소교육장소교육비이용대상신청장소문의 전화비고
0라인댄스 기초09:00:0009:50:00금요일30나*희부산광역시 금정구 청룡예전로 110 (청룡동)2층 대강당3개월 / 15,000원금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>
1라인댄스 심화09:00:0009:50:00월요일+수요일30나*희부산광역시 금정구 청룡예전로 110 (청룡동)2층 대강당3개월 / 30,000원금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>
2요가교실 1반13:00:0013:50:00월요일+수요일30박*진부산광역시 금정구 청룡예전로 110 (청룡동)2층 대강당3개월 / 30,000원금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>
3요가교실 2반14:00:0014:50:00월요일+수요일30박*진부산광역시 금정구 청룡예전로 110 (청룡동)2층 대강당3개월 / 30,000원금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>
4단전호흡15:00:0015:50:00월요일+수요일30강*란부산광역시 금정구 청룡예전로 110 (청룡동)2층 대강당3개월 / 30,000원금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>
5웰빙댄스 초급10:00:0010:50:00화요일+목요일50나*희부산광역시 금정구 청룡예전로 110 (청룡동)2층 대강당3개월 / 30,000원금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>
6웰빙댄스 고급11:00:0011:50:00화요일+목요일50나*희부산광역시 금정구 청룡예전로 110 (청룡동)2층 대강당3개월 / 30,000원금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>
7신바람체조 기초12:10:0013:00:00화요일+목요일30김*혜부산광역시 금정구 청룡예전로 110 (청룡동)2층 대강당3개월 / 30,000원금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>
8신바람체조 심화13:10:0014:00:00화요일+목요일30김*혜부산광역시 금정구 청룡예전로 110 (청룡동)2층 대강당3개월 / 30,000원금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>
9생활체육14:10:0015:00:00목요일40배*새부산광역시 금정구 청룡예전로 110 (청룡동)2층 대강당무료금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>
강좌명교육시작시간교육종료시간요일정원(명)강사명주소교육장소교육비이용대상신청장소문의 전화비고
29컴퓨터/블로그09:30:0011:20:00금요일18박*기부산광역시 금정구 청룡예전로 110 (청룡동)2층 정보화교실3개월 / 30,000원금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>
30SNS/인터넷/미디어13:00:0014:50:00금요일18박*기부산광역시 금정구 청룡예전로 110 (청룡동)2층 정보화교실3개월 / 30,000원금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>
31소담책방09:00:0018:00:00월요일+화요일+수요일+목요일+금요일<NA><NA>부산광역시 금정구 청룡예전로 110 (청룡동)2·3층 휴게실무료금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>
321-3세대 통합 제과제빵프로그램'두근두근! 베이커리'14:00:0016:00:00월요일24<NA>부산광역시 금정구 청룡예전로 110 (청룡동)1층 경로식당무료금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>
33노년기 여가활동지원을 통한 문화적 권리보장 프로그램'블링블링'14:00:0016:00:00화요일20<NA>부산광역시 금정구 청룡예전로 110 (청룡동)3층 프로그램2실무료금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>
34주도적 학습동아리'선배시민아카데미'15:00:0017:00:00화요일15<NA>부산광역시 금정구 청룡예전로 110 (청룡동)3층 프로그램1실무료금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>
35즉흥극을 활용한 노인인식개선 프로그램 '시소(SeeSaw) 공연단'14:00:0016:00:00목요일15<NA>부산광역시 금정구 청룡예전로 110 (청룡동)3층 프로그램2실무료금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>
36정보격차 해소를 위한디지털 리터러시 프로그램 똑띠 'Go! Go! 똑띠'15:00:0017:00:00목요일15<NA>부산광역시 금정구 청룡예전로 110 (청룡동)3층 프로그램1실무료금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>
37치매예방 및 안전망 구축을 위한 치매예방프로그램 '리본:re-born교실'14:00:0016:00:00금요일10<NA>부산광역시 금정구 청룡예전로 110 (청룡동)3층 프로그램1실무료금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>
38신노년의 학습형 일자리 확대를 위한 환경실천운동가양성 프로그램 환경이음 : '환경으로 신중년의 경제활동을 이음'10:00:0012:00:00금요일20<NA>부산광역시 금정구 청룡예전로 110 (청룡동)신중년더채움학습관무료금정구거주 만 60세 이상복지관1층사무실051-792-7200<NA>