Overview

Dataset statistics

Number of variables5
Number of observations51
Missing cells6
Missing cells (%)2.4%
Duplicate rows1
Duplicate rows (%)2.0%
Total size in memory2.2 KiB
Average record size in memory43.6 B

Variable types

Categorical2
Text1
Numeric1
DateTime1

Dataset

Description부산광역시영도구_노인일자리정보_20230116
Author부산광역시 영도구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3070054

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 1 (2.0%) duplicate rowsDuplicates
사업명 has 2 (3.9%) missing valuesMissing
일자리수(명) has 2 (3.9%) missing valuesMissing
데이터기준일자 has 2 (3.9%) missing valuesMissing

Reproduction

Analysis started2023-12-10 17:23:15.882755
Analysis finished2023-12-10 17:23:17.645605
Duration1.76 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

수행기관
Categorical

Distinct11
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Memory size540.0 B
부산영도시니어클럽
24 
영도구노인복지관
5 
동삼종합사회복지관
4 
영도구노인복지관 분관
3 
영도구종합사회복지관
3 
Other values (6)
12 

Length

Max length11
Median length9
Mean length8.8039216
Min length3

Unique

Unique2 ?
Unique (%)3.9%

Sample

1st row영도구
2nd row영도구노인복지관
3rd row영도구노인복지관
4th row영도구노인복지관
5th row영도구노인복지관

Common Values

ValueCountFrequency (%)
부산영도시니어클럽 24
47.1%
영도구노인복지관 5
 
9.8%
동삼종합사회복지관 4
 
7.8%
영도구노인복지관 분관 3
 
5.9%
영도구종합사회복지관 3
 
5.9%
상리종합사회복지관 3
 
5.9%
절영종합사회복지관 3
 
5.9%
와치종합사회복지관 2
 
3.9%
<NA> 2
 
3.9%
영도구 1
 
2.0%

Length

2023-12-11T02:23:17.913457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부산영도시니어클럽 24
43.6%
영도구노인복지관 8
 
14.5%
동삼종합사회복지관 4
 
7.3%
분관 3
 
5.5%
영도구종합사회복지관 3
 
5.5%
상리종합사회복지관 3
 
5.5%
절영종합사회복지관 3
 
5.5%
와치종합사회복지관 2
 
3.6%
na 2
 
3.6%
영도구 1
 
1.8%
Other values (2) 2
 
3.6%

유형
Categorical

Distinct5
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
공익활동
25 
공익활동형
9 
사회서비스형
8 
시장형
7 
<NA>
 
2

Length

Max length6
Median length4
Mean length4.3529412
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공익활동 25
49.0%
공익활동형 9
 
17.6%
사회서비스형 8
 
15.7%
시장형 7
 
13.7%
<NA> 2
 
3.9%

Length

2023-12-11T02:23:18.304782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:23:18.570688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공익활동 25
49.0%
공익활동형 9
 
17.6%
사회서비스형 8
 
15.7%
시장형 7
 
13.7%
na 2
 
3.9%

사업명
Text

MISSING 

Distinct48
Distinct (%)98.0%
Missing2
Missing (%)3.9%
Memory size540.0 B
2023-12-11T02:23:19.023363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length10.591837
Min length5

Characters and Unicode

Total characters519
Distinct characters137
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)95.9%

Sample

1st row우리동네지킴이(환경정비)
2nd row행복도시락배달부
3rd row영도태종대문화재시설봉사
4th row스쿨존교통안전캠페인
5th row남항대교공공시설봉사
ValueCountFrequency (%)
스쿨존교통안전캠페인 2
 
4.0%
영도할매학교교통지킴이사업단 1
 
2.0%
영도할매기타시설지원사업단 1
 
2.0%
영도할매안전생활서비스사업단 1
 
2.0%
영도할매공공시설봉사사업단 1
 
2.0%
영도할매푸른바다사업단 1
 
2.0%
영도할매횡단보도관리사업단 1
 
2.0%
영도할매환경개선봉사사업단 1
 
2.0%
영도할매지역공원클린사업단 1
 
2.0%
영도할매맑은누리사업단 1
 
2.0%
Other values (39) 39
78.0%
2023-12-11T02:23:19.770306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 39
 
7.5%
단 37
 
7.1%
도 32
 
6.2%
영 27
 
5.2%
업 26
 
5.0%
매 24
 
4.6%
할 24
 
4.6%
리 11
 
2.1%
시 10
 
1.9%
지 10
 
1.9%
Other values (127) 279
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 511
98.5%
Uppercase Letter 2
 
0.4%
Other Symbol 1
 
0.2%
Decimal Number 1
 
0.2%
Close Punctuation 1
 
0.2%
Other Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%
Space Separator 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 39
 
7.6%
단 37
 
7.2%
도 32
 
6.3%
영 27
 
5.3%
업 26
 
5.1%
매 24
 
4.7%
할 24
 
4.7%
리 11
 
2.2%
시 10
 
2.0%
지 10
 
2.0%
Other values (119) 271
53.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
E 1
50.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%
Decimal Number
ValueCountFrequency (%)
0 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 511
98.5%
Common 6
 
1.2%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 39
 
7.6%
단 37
 
7.2%
도 32
 
6.3%
영 27
 
5.3%
업 26
 
5.1%
매 24
 
4.7%
할 24
 
4.7%
리 11
 
2.2%
시 10
 
2.0%
지 10
 
2.0%
Other values (119) 271
53.0%
Common
ValueCountFrequency (%)
℃ 1
16.7%
0 1
16.7%
) 1
16.7%
· 1
16.7%
( 1
16.7%
1
16.7%
Latin
ValueCountFrequency (%)
M 1
50.0%
E 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 511
98.5%
ASCII 6
 
1.2%
Letterlike Symbols 1
 
0.2%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 39
 
7.6%
단 37
 
7.2%
도 32
 
6.3%
영 27
 
5.3%
업 26
 
5.1%
매 24
 
4.7%
할 24
 
4.7%
리 11
 
2.2%
시 10
 
2.0%
지 10
 
2.0%
Other values (119) 271
53.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%
ASCII
ValueCountFrequency (%)
0 1
16.7%
) 1
16.7%
( 1
16.7%
1
16.7%
M 1
16.7%
E 1
16.7%
None
ValueCountFrequency (%)
· 1
100.0%

일자리수(명)
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)61.2%
Missing2
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean58.714286
Minimum4
Maximum196
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T02:23:20.112159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8.8
Q120
median38
Q388
95-th percentile169
Maximum196
Range192
Interquartile range (IQR)68

Descriptive statistics

Standard deviation54.976131
Coefficient of variation (CV)0.93633313
Kurtosis0.012666458
Mean58.714286
Median Absolute Deviation (MAD)26
Skewness1.1120606
Sum2877
Variance3022.375
MonotonicityNot monotonic
2023-12-11T02:23:20.463848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
20 5
 
9.8%
10 5
 
9.8%
40 4
 
7.8%
15 3
 
5.9%
30 3
 
5.9%
96 2
 
3.9%
60 2
 
3.9%
8 2
 
3.9%
150 2
 
3.9%
12 1
 
2.0%
Other values (20) 20
39.2%
(Missing) 2
 
3.9%
ValueCountFrequency (%)
4 1
 
2.0%
8 2
 
3.9%
10 5
9.8%
12 1
 
2.0%
15 3
5.9%
20 5
9.8%
21 1
 
2.0%
22 1
 
2.0%
24 1
 
2.0%
30 3
5.9%
ValueCountFrequency (%)
196 1
2.0%
181 1
2.0%
175 1
2.0%
160 1
2.0%
155 1
2.0%
150 2
3.9%
140 1
2.0%
115 1
2.0%
107 1
2.0%
96 2
3.9%

데이터기준일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)2.0%
Missing2
Missing (%)3.9%
Memory size540.0 B
Minimum2023-01-16 00:00:00
Maximum2023-01-16 00:00:00
2023-12-11T02:23:20.741702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:23:21.012164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T02:23:16.551654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:23:21.277694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수행기관유형사업명일자리수(명)
수행기관1.0000.6260.8700.000
유형0.6261.0001.0000.660
사업명0.8701.0001.0000.984
일자리수(명)0.0000.6600.9841.000
2023-12-11T02:23:21.497381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수행기관유형
수행기관1.0000.394
유형0.3941.000
2023-12-11T02:23:21.693081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일자리수(명)수행기관유형
일자리수(명)1.0000.0000.459
수행기관0.0001.0000.394
유형0.4590.3941.000

Missing values

2023-12-11T02:23:16.915935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:23:17.167232image/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.
2023-12-11T02:23:17.447828image/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

수행기관유형사업명일자리수(명)데이터기준일자
0영도구공익활동우리동네지킴이(환경정비)962023-01-16
1영도구노인복지관공익활동행복도시락배달부402023-01-16
2영도구노인복지관공익활동영도태종대문화재시설봉사402023-01-16
3영도구노인복지관공익활동스쿨존교통안전캠페인402023-01-16
4영도구노인복지관공익활동남항대교공공시설봉사202023-01-16
5영도구노인복지관공익활동지역사회환경개선봉사1602023-01-16
6영도구노인복지관 분관공익활동시니어교통안전활동사업단962023-01-16
7영도구노인복지관 분관공익활동스쿨존교통안전캠페인222023-01-16
8영도구노인복지관 분관공익활동해돋이마을환경개선봉사322023-01-16
9대한노인회 영도구지회공익활동경로당활성화지원사업1502023-01-16
수행기관유형사업명일자리수(명)데이터기준일자
41부산영도시니어클럽사회서비스형영도할매소방안전사업단82023-01-16
42부산영도시니어클럽시장형영도할매주차장관리사업단202023-01-16
43부산영도시니어클럽시장형영도할매방아깨비사업단102023-01-16
44부산영도시니어클럽시장형영도할매요리조리사업단722023-01-16
45부산영도시니어클럽시장형영도할매금비사업단402023-01-16
46부산영도시니어클럽시장형영도할매싱싱가게사업단152023-01-16
47부산영도시니어클럽시장형영도할매어울림사업단802023-01-16
48부산영도시니어클럽시장형영도할매풀잎0℃카페사업단202023-01-16
49<NA><NA><NA><NA><NA>
50<NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

수행기관유형사업명일자리수(명)데이터기준일자# duplicates
0<NA><NA><NA><NA><NA>2