Overview

Dataset statistics

Number of variables6
Number of observations37
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory52.6 B

Variable types

Categorical4
Text1
Numeric1

Dataset

Description부산광역시_중구_노인일자리및사회활동지원사업_20191115
Author부산광역시 중구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15026369

Alerts

사업종료 has constant value ""Constant
사업시작 is highly imbalanced (59.4%)Imbalance
사업명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:07:23.809902
Analysis finished2023-12-10 17:07:24.458814
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업수행기관
Categorical

Distinct4
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size428.0 B
중구노인복지관
14 
중구시니어클럽
13 
대한노인회 중구지회
9 
종합사회복지관
 
1

Length

Max length10
Median length7
Mean length7.7297297
Min length7

Unique

Unique1 ?
Unique (%)2.7%

Sample

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

Common Values

ValueCountFrequency (%)
중구노인복지관 14
37.8%
중구시니어클럽 13
35.1%
대한노인회 중구지회 9
24.3%
종합사회복지관 1
 
2.7%

Length

2023-12-11T02:07:24.591590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:07:24.734832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중구노인복지관 14
30.4%
중구시니어클럽 13
28.3%
대한노인회 9
19.6%
중구지회 9
19.6%
종합사회복지관 1
 
2.2%

사업유형
Categorical

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
공익활동
24 
시장형
9 
사회서비스
4 

Length

Max length5
Median length4
Mean length3.8648649
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공익활동 24
64.9%
시장형 9
 
24.3%
사회서비스 4
 
10.8%

Length

2023-12-11T02:07:24.934622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:07:25.099101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공익활동 24
64.9%
시장형 9
 
24.3%
사회서비스 4
 
10.8%

사업명
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-11T02:07:25.335471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length8.8108108
Min length4

Characters and Unicode

Total characters326
Distinct characters118
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

Unique37 ?
Unique (%)100.0%

Sample

1st row도란도란(연중)
2nd row지하철안내도우미
3rd rowEM 환경지킴이
4th row중구역사 문화통역단
5th row해피실버 강사
ValueCountFrequency (%)
행복드림 8
 
13.1%
도란도란(연중 1
 
1.6%
지킴이 1
 
1.6%
교통지원 1
 
1.6%
만물상 1
 
1.6%
청소사업 1
 
1.6%
실버 1
 
1.6%
택배 1
 
1.6%
전통시장물류 1
 
1.6%
수작업장 1
 
1.6%
Other values (44) 44
72.1%
2023-12-11T02:07:25.800205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25
 
7.7%
지 14
 
4.3%
복 12
 
3.7%
행 9
 
2.8%
미 9
 
2.8%
림 9
 
2.8%
드 9
 
2.8%
경 8
 
2.5%
사 8
 
2.5%
원 8
 
2.5%
Other values (108) 215
66.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 292
89.6%
Space Separator 25
 
7.7%
Open Punctuation 3
 
0.9%
Close Punctuation 3
 
0.9%
Uppercase Letter 2
 
0.6%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 14
 
4.8%
복 12
 
4.1%
행 9
 
3.1%
미 9
 
3.1%
림 9
 
3.1%
드 9
 
3.1%
경 8
 
2.7%
사 8
 
2.7%
원 8
 
2.7%
도 8
 
2.7%
Other values (102) 198
67.8%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
E 1
50.0%
Space Separator
ValueCountFrequency (%)
25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 292
89.6%
Common 32
 
9.8%
Latin 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 14
 
4.8%
복 12
 
4.1%
행 9
 
3.1%
미 9
 
3.1%
림 9
 
3.1%
드 9
 
3.1%
경 8
 
2.7%
사 8
 
2.7%
원 8
 
2.7%
도 8
 
2.7%
Other values (102) 198
67.8%
Common
ValueCountFrequency (%)
25
78.1%
( 3
 
9.4%
) 3
 
9.4%
/ 1
 
3.1%
Latin
ValueCountFrequency (%)
M 1
50.0%
E 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 292
89.6%
ASCII 34
 
10.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25
73.5%
( 3
 
8.8%
) 3
 
8.8%
M 1
 
2.9%
E 1
 
2.9%
/ 1
 
2.9%
Hangul
ValueCountFrequency (%)
지 14
 
4.8%
복 12
 
4.1%
행 9
 
3.1%
미 9
 
3.1%
림 9
 
3.1%
드 9
 
3.1%
경 8
 
2.7%
사 8
 
2.7%
원 8
 
2.7%
도 8
 
2.7%
Other values (102) 198
67.8%

사업량
Real number (ℝ)

Distinct22
Distinct (%)59.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.243243
Minimum6
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-11T02:07:25.987197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile10
Q119
median28
Q338
95-th percentile74
Maximum80
Range74
Interquartile range (IQR)19

Descriptive statistics

Standard deviation19.630483
Coefficient of variation (CV)0.6283113
Kurtosis0.52683086
Mean31.243243
Median Absolute Deviation (MAD)9
Skewness1.152493
Sum1156
Variance385.35586
MonotonicityNot monotonic
2023-12-11T02:07:26.163081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
30 4
 
10.8%
12 3
 
8.1%
20 3
 
8.1%
40 2
 
5.4%
29 2
 
5.4%
60 2
 
5.4%
74 2
 
5.4%
25 2
 
5.4%
22 2
 
5.4%
19 2
 
5.4%
Other values (12) 13
35.1%
ValueCountFrequency (%)
6 1
 
2.7%
10 2
5.4%
12 3
8.1%
13 1
 
2.7%
14 1
 
2.7%
19 2
5.4%
20 3
8.1%
21 1
 
2.7%
22 2
5.4%
25 2
5.4%
ValueCountFrequency (%)
80 1
 
2.7%
74 2
5.4%
68 1
 
2.7%
60 2
5.4%
48 1
 
2.7%
40 2
5.4%
38 1
 
2.7%
35 1
 
2.7%
31 1
 
2.7%
30 4
10.8%

사업시작
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
2019-01-19
34 
2019-09-19
 
3

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-01-19
2nd row2019-01-19
3rd row2019-01-19
4th row2019-01-19
5th row2019-01-19

Common Values

ValueCountFrequency (%)
2019-01-19 34
91.9%
2019-09-19 3
 
8.1%

Length

2023-12-11T02:07:26.367073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:07:26.530657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-01-19 34
91.9%
2019-09-19 3
 
8.1%

사업종료
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
2019-12-19
37 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-12-19
2nd row2019-12-19
3rd row2019-12-19
4th row2019-12-19
5th row2019-12-19

Common Values

ValueCountFrequency (%)
2019-12-19 37
100.0%

Length

2023-12-11T02:07:26.684757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:07:26.835625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-12-19 37
100.0%

Interactions

2023-12-11T02:07:24.104712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:07:26.940700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업수행기관사업유형사업명사업량사업시작
사업수행기관1.0000.4361.0000.3090.000
사업유형0.4361.0001.0000.2490.000
사업명1.0001.0001.0001.0001.000
사업량0.3090.2491.0001.0000.364
사업시작0.0000.0001.0000.3641.000
2023-12-11T02:07:27.084103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업유형사업수행기관사업시작
사업유형1.0000.4200.000
사업수행기관0.4201.0000.000
사업시작0.0000.0001.000
2023-12-11T02:07:27.224498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업량사업수행기관사업유형사업시작
사업량1.0000.1680.0650.317
사업수행기관0.1681.0000.4200.000
사업유형0.0650.4201.0000.000
사업시작0.3170.0000.0001.000

Missing values

2023-12-11T02:07:24.246843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:07:24.384844image/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

사업수행기관사업유형사업명사업량사업시작사업종료
0중구노인복지관공익활동도란도란(연중)482019-01-192019-12-19
1중구노인복지관공익활동지하철안내도우미682019-01-192019-12-19
2중구노인복지관공익활동EM 환경지킴이402019-01-192019-12-19
3중구노인복지관공익활동중구역사 문화통역단282019-01-192019-12-19
4중구노인복지관공익활동해피실버 강사142019-01-192019-12-19
5중구노인복지관공익활동복지시설도우미292019-01-192019-12-19
6중구노인복지관공익활동사서도우미292019-01-192019-12-19
7중구노인복지관공익활동몰카안심순찰대212019-01-192019-12-19
8중구노인복지관공익활동정류장 깔끄미312019-01-192019-12-19
9중구노인복지관공익활동버스정류장 환경도우미302019-09-192019-12-19
사업수행기관사업유형사업명사업량사업시작사업종료
27대한노인회 중구지회공익활동공공시설 자원봉사602019-01-192019-12-19
28대한노인회 중구지회공익활동거리환경 지킴이802019-01-192019-12-19
29대한노인회 중구지회공익활동재래시장 문화 알리미202019-01-192019-12-19
30대한노인회 중구지회공익활동노노케어742019-01-192019-12-19
31대한노인회 중구지회공익활동나이스 실버순찰대302019-01-192019-12-19
32대한노인회 중구지회공익활동골목길 문화재지키미352019-01-192019-12-19
33대한노인회 중구지회공익활동똑똑경로당교육사업102019-01-192019-12-19
34대한노인회 중구지회공익활동테마거리 시설물관리302019-09-192019-12-19
35대한노인회 중구지회공익활동인력파견형602019-01-192019-12-19
36종합사회복지관공익활동실버엔젤(노노케어)202019-01-192019-12-19