Overview

Dataset statistics

Number of variables9
Number of observations62
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 KiB
Average record size in memory75.1 B

Variable types

Categorical7
Text1
Numeric1

Dataset

Description등록된 데이터는 금정구 관내의 금정구 노인 일자리 사업 현황에 대한 자료 입니다. 금정구 노인일자리의 수행기관, 노인일자리 사업명, 사업구분 등의 정보가 있습니다.
Author부산광역시 금정구
URLhttps://www.data.go.kr/data/3045755/fileData.do

Alerts

사업시작일 has constant value ""Constant
사업종료일 has constant value ""Constant
구군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 is highly overall correlated with 수행기관High correlation
수행기관 is highly overall correlated with 전화번호High correlation

Reproduction

Analysis started2023-12-12 05:20:17.109938
Analysis finished2023-12-12 05:20:17.686919
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

수행기관
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Memory size628.0 B
금정시니어클럽
28 
남광종합사회복지관
12 
금정구노인복지관
8 
금정구종합사회복지관
5 
대한노인회금정구지회
5 
Other values (2)
4 

Length

Max length10
Median length9
Mean length7.9193548
Min length5

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
금정시니어클럽 28
45.2%
남광종합사회복지관 12
19.4%
금정구노인복지관 8
 
12.9%
금정구종합사회복지관 5
 
8.1%
대한노인회금정구지회 5
 
8.1%
예닮복지재단 3
 
4.8%
코끼리공장 1
 
1.6%

Length

2023-12-12T14:20:17.750118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:20:17.856896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
금정시니어클럽 28
45.2%
남광종합사회복지관 12
19.4%
금정구노인복지관 8
 
12.9%
금정구종합사회복지관 5
 
8.1%
대한노인회금정구지회 5
 
8.1%
예닮복지재단 3
 
4.8%
코끼리공장 1
 
1.6%

사업명및활동내용
Text

Distinct58
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-12T14:20:18.104366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length7.8709677
Min length3

Characters and Unicode

Total characters488
Distinct characters146
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

Unique56 ?
Unique (%)90.3%

Sample

1st row공공시설환경개선사업
2nd row노노케어
3rd row보육도우미
4th row홍보물관리지원
5th row도서관관리지원
ValueCountFrequency (%)
노노케어 4
 
6.5%
실버환경지킴이 2
 
3.2%
우리동네실버지킴이 1
 
1.6%
거리깔끄미 1
 
1.6%
마을안전서비스지원 1
 
1.6%
복지센터서비스지원 1
 
1.6%
생활복지서비스지원 1
 
1.6%
소방복지서비스지원 1
 
1.6%
작은도서관,행정복지서비스지원 1
 
1.6%
청소년복지서비스지원 1
 
1.6%
Other values (48) 48
77.4%
2023-12-12T14:20:18.468726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 37
 
7.6%
원 22
 
4.5%
시 15
 
3.1%
실 12
 
2.5%
노 11
 
2.3%
버 11
 
2.3%
사 11
 
2.3%
서 11
 
2.3%
이 11
 
2.3%
리 11
 
2.3%
Other values (136) 336
68.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 472
96.7%
Open Punctuation 4
 
0.8%
Close Punctuation 4
 
0.8%
Decimal Number 4
 
0.8%
Uppercase Letter 3
 
0.6%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 37
 
7.8%
원 22
 
4.7%
시 15
 
3.2%
실 12
 
2.5%
노 11
 
2.3%
버 11
 
2.3%
사 11
 
2.3%
서 11
 
2.3%
이 11
 
2.3%
리 11
 
2.3%
Other values (128) 320
67.8%
Uppercase Letter
ValueCountFrequency (%)
E 1
33.3%
S 1
33.3%
G 1
33.3%
Decimal Number
ValueCountFrequency (%)
8 2
50.0%
9 2
50.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 472
96.7%
Common 13
 
2.7%
Latin 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 37
 
7.8%
원 22
 
4.7%
시 15
 
3.2%
실 12
 
2.5%
노 11
 
2.3%
버 11
 
2.3%
사 11
 
2.3%
서 11
 
2.3%
이 11
 
2.3%
리 11
 
2.3%
Other values (128) 320
67.8%
Common
ValueCountFrequency (%)
( 4
30.8%
) 4
30.8%
8 2
15.4%
9 2
15.4%
, 1
 
7.7%
Latin
ValueCountFrequency (%)
E 1
33.3%
S 1
33.3%
G 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 472
96.7%
ASCII 16
 
3.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 37
 
7.8%
원 22
 
4.7%
시 15
 
3.2%
실 12
 
2.5%
노 11
 
2.3%
버 11
 
2.3%
사 11
 
2.3%
서 11
 
2.3%
이 11
 
2.3%
리 11
 
2.3%
Other values (128) 320
67.8%
ASCII
ValueCountFrequency (%)
( 4
25.0%
) 4
25.0%
8 2
12.5%
9 2
12.5%
, 1
 
6.2%
E 1
 
6.2%
S 1
 
6.2%
G 1
 
6.2%

사업구분
Categorical

Distinct3
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size628.0 B
공익활동
37 
사회서비스형
18 
시장형
7 

Length

Max length6
Median length4
Mean length4.4677419
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공익활동 37
59.7%
사회서비스형 18
29.0%
시장형 7
 
11.3%

Length

2023-12-12T14:20:18.641268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:20:18.778451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공익활동 37
59.7%
사회서비스형 18
29.0%
시장형 7
 
11.3%

전화번호
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Memory size628.0 B
051-516-3045
28 
051-508-1997
12 
051-792-7200
8 
051-532-0115
5 
051-582-5484
5 
Other values (2)
4 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
051-516-3045 28
45.2%
051-508-1997 12
19.4%
051-792-7200 8
 
12.9%
051-532-0115 5
 
8.1%
051-582-5484 5
 
8.1%
051-529-9018 3
 
4.8%
051-515-7240 1
 
1.6%

Length

2023-12-12T14:20:18.908381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:20:19.043856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
051-516-3045 28
45.2%
051-508-1997 12
19.4%
051-792-7200 8
 
12.9%
051-532-0115 5
 
8.1%
051-582-5484 5
 
8.1%
051-529-9018 3
 
4.8%
051-515-7240 1
 
1.6%

인원(명)
Real number (ℝ)

Distinct38
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.306452
Minimum2
Maximum194
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-12T14:20:19.198027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile10
Q120.75
median36
Q383.5
95-th percentile150
Maximum194
Range192
Interquartile range (IQR)62.75

Descriptive statistics

Standard deviation46.312406
Coefficient of variation (CV)0.83737801
Kurtosis0.77177016
Mean55.306452
Median Absolute Deviation (MAD)19
Skewness1.2490107
Sum3429
Variance2144.839
MonotonicityNot monotonic
2023-12-12T14:20:19.387194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
20 6
 
9.7%
30 5
 
8.1%
10 4
 
6.5%
36 3
 
4.8%
60 3
 
4.8%
100 3
 
4.8%
150 2
 
3.2%
43 2
 
3.2%
40 2
 
3.2%
108 2
 
3.2%
Other values (28) 30
48.4%
ValueCountFrequency (%)
2 1
 
1.6%
6 1
 
1.6%
8 1
 
1.6%
10 4
6.5%
12 1
 
1.6%
16 1
 
1.6%
18 1
 
1.6%
20 6
9.7%
23 1
 
1.6%
24 1
 
1.6%
ValueCountFrequency (%)
194 1
 
1.6%
170 1
 
1.6%
160 1
 
1.6%
150 2
3.2%
140 1
 
1.6%
124 1
 
1.6%
110 1
 
1.6%
108 2
3.2%
100 3
4.8%
90 2
3.2%

사업시작일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-01-01
62 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-01-01
2nd row2023-01-01
3rd row2023-01-01
4th row2023-01-01
5th row2023-01-01

Common Values

ValueCountFrequency (%)
2023-01-01 62
100.0%

Length

2023-12-12T14:20:19.548534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:20:19.646142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-01-01 62
100.0%

사업종료일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-31
62 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-31
2nd row2023-12-31
3rd row2023-12-31
4th row2023-12-31
5th row2023-12-31

Common Values

ValueCountFrequency (%)
2023-12-31 62
100.0%

Length

2023-12-12T14:20:19.777055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:20:19.903125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-31 62
100.0%

구군명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
금정구
62 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
금정구 62
100.0%

Length

2023-12-12T14:20:20.035943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:20:20.139517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
금정구 62
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-11-16
62 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-16
2nd row2023-11-16
3rd row2023-11-16
4th row2023-11-16
5th row2023-11-16

Common Values

ValueCountFrequency (%)
2023-11-16 62
100.0%

Length

2023-12-12T14:20:20.261065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:20:20.359793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-16 62
100.0%

Interactions

2023-12-12T14:20:17.339138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:20:20.425058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수행기관사업명및활동내용사업구분전화번호인원(명)
수행기관1.0000.0000.2931.0000.412
사업명및활동내용0.0001.0001.0000.0000.000
사업구분0.2931.0001.0000.2930.415
전화번호1.0000.0000.2931.0000.412
인원(명)0.4120.0000.4150.4121.000
2023-12-12T14:20:20.525630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업구분전화번호수행기관
사업구분1.0000.1950.195
전화번호0.1951.0001.000
수행기관0.1951.0001.000
2023-12-12T14:20:20.613933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인원(명)수행기관사업구분전화번호
인원(명)1.0000.2110.2530.211
수행기관0.2111.0000.1951.000
사업구분0.2530.1951.0000.195
전화번호0.2111.0000.1951.000

Missing values

2023-12-12T14:20:17.506081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:20:17.639198image/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

수행기관사업명및활동내용사업구분전화번호인원(명)사업시작일사업종료일구군명데이터기준일자
0금정구노인복지관공공시설환경개선사업공익활동051-792-72001082023-01-012023-12-31금정구2023-11-16
1금정구노인복지관노노케어공익활동051-792-7200342023-01-012023-12-31금정구2023-11-16
2금정구노인복지관보육도우미공익활동051-792-7200502023-01-012023-12-31금정구2023-11-16
3금정구노인복지관홍보물관리지원공익활동051-792-7200102023-01-012023-12-31금정구2023-11-16
4금정구노인복지관도서관관리지원공익활동051-792-7200182023-01-012023-12-31금정구2023-11-16
5금정구노인복지관온종일돌봄시설지원사회서비스형051-792-7200442023-01-012023-12-31금정구2023-11-16
6금정구노인복지관우체국행정업무지원사회서비스형051-792-7200102023-01-012023-12-31금정구2023-11-16
7금정구노인복지관다원쉼터사회서비스형051-792-720022023-01-012023-12-31금정구2023-11-16
8금정시니어클럽9988건강지킴이공익활동051-516-3045312023-01-012023-12-31금정구2023-11-16
9금정시니어클럽공공시설지원공익활동051-516-30451002023-01-012023-12-31금정구2023-11-16
수행기관사업명및활동내용사업구분전화번호인원(명)사업시작일사업종료일구군명데이터기준일자
52남광종합사회복지관실버사랑나눔(노인맞춤돌봄)사회서비스형051-508-1997362023-01-012023-12-31금정구2023-11-16
53대한노인회금정구지회실버환경지킴이공익활동051-582-5484902023-01-012023-12-31금정구2023-11-16
54대한노인회금정구지회노노케어공익활동051-582-5484702023-01-012023-12-31금정구2023-11-16
55대한노인회금정구지회경로당행복도우미공익활동051-582-5484702023-01-012023-12-31금정구2023-11-16
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