Overview

Dataset statistics

Number of variables6
Number of observations63
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory52.1 B

Variable types

Numeric2
Categorical3
Text1

Dataset

Description인천광역시 남동구 노인일자리사업현황에 대한 데이터로 연번, 수행기관, 사업구분, 사업명, 사업량, 전화번호 등을 제공합니다.
URLhttps://www.data.go.kr/data/15067734/fileData.do

Alerts

수행기관 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
전화번호 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
연번 is highly overall correlated with 수행기관 and 2 other fieldsHigh correlation
사업량 is highly overall correlated with 수행기관 and 2 other fieldsHigh correlation
사업구분 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 has unique valuesUnique
사업명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:30:40.762883
Analysis finished2023-12-12 18:30:41.843631
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32
Minimum1
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-13T03:30:41.944909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.1
Q116.5
median32
Q347.5
95-th percentile59.9
Maximum63
Range62
Interquartile range (IQR)31

Descriptive statistics

Standard deviation18.330303
Coefficient of variation (CV)0.57282196
Kurtosis-1.2
Mean32
Median Absolute Deviation (MAD)16
Skewness0
Sum2016
Variance336
MonotonicityStrictly increasing
2023-12-13T03:30:42.154094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
2 1
 
1.6%
35 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
42 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
63 1
1.6%
62 1
1.6%
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%
54 1
1.6%

수행기관
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size636.0 B
남동구 노인인력개발센터
41 
남동시니어클럽
16 
남동구노인복지관
 
4
남동구청
 
1
(사)대한노인회인천남동구지회
 
1

Length

Max length15
Median length12
Mean length10.396825
Min length4

Unique

Unique2 ?
Unique (%)3.2%

Sample

1st row남동구청
2nd row남동구 노인인력개발센터
3rd row남동구 노인인력개발센터
4th row남동구 노인인력개발센터
5th row남동구 노인인력개발센터

Common Values

ValueCountFrequency (%)
남동구 노인인력개발센터 41
65.1%
남동시니어클럽 16
 
25.4%
남동구노인복지관 4
 
6.3%
남동구청 1
 
1.6%
(사)대한노인회인천남동구지회 1
 
1.6%

Length

2023-12-13T03:30:42.354827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:30:42.502080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남동구 41
39.4%
노인인력개발센터 41
39.4%
남동시니어클럽 16
 
15.4%
남동구노인복지관 4
 
3.8%
남동구청 1
 
1.0%
사)대한노인회인천남동구지회 1
 
1.0%

사업구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
공익활동
25 
시장형
21 
사회서비스형
16 
취업알선
 
1

Length

Max length6
Median length4
Mean length4.1746032
Min length3

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
공익활동 25
39.7%
시장형 21
33.3%
사회서비스형 16
25.4%
취업알선 1
 
1.6%

Length

2023-12-13T03:30:42.666277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:30:42.818321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공익활동 25
39.7%
시장형 21
33.3%
사회서비스형 16
25.4%
취업알선 1
 
1.6%

사업명
Text

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-13T03:30:43.068794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length9
Min length4

Characters and Unicode

Total characters567
Distinct characters177
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

Unique63 ?
Unique (%)100.0%

Sample

1st row우리동네환경지킴이사업
2nd row노노케어
3rd row노노급식도우미
4th row도시철도안전지킴이
5th row버스정류장클린
ValueCountFrequency (%)
ok6070아파트택배사업 2
 
2.8%
우리동네환경지킴이사업 1
 
1.4%
공익증진서비스지원사업 1
 
1.4%
보육교사 1
 
1.4%
아침이행복한학교 1
 
1.4%
시니어행정복지서포터즈 1
 
1.4%
시니어푸른환경지킴이 1
 
1.4%
홍보나레이터 1
 
1.4%
꽃게&새우 1
 
1.4%
경로당시설안전관리요원 1
 
1.4%
Other values (61) 61
84.7%
2023-12-13T03:30:43.535189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 21
 
3.7%
시 18
 
3.2%
업 14
 
2.5%
이 14
 
2.5%
장 14
 
2.5%
우 13
 
2.3%
어 13
 
2.3%
니 12
 
2.1%
리 12
 
2.1%
원 12
 
2.1%
Other values (167) 424
74.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 536
94.5%
Decimal Number 14
 
2.5%
Space Separator 10
 
1.8%
Uppercase Letter 4
 
0.7%
Dash Punctuation 2
 
0.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 21
 
3.9%
시 18
 
3.4%
업 14
 
2.6%
이 14
 
2.6%
장 14
 
2.6%
우 13
 
2.4%
어 13
 
2.4%
니 12
 
2.2%
리 12
 
2.2%
원 12
 
2.2%
Other values (156) 393
73.3%
Decimal Number
ValueCountFrequency (%)
0 4
28.6%
1 2
14.3%
2 2
14.3%
3 2
14.3%
6 2
14.3%
7 2
14.3%
Uppercase Letter
ValueCountFrequency (%)
K 2
50.0%
O 2
50.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 536
94.5%
Common 27
 
4.8%
Latin 4
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 21
 
3.9%
시 18
 
3.4%
업 14
 
2.6%
이 14
 
2.6%
장 14
 
2.6%
우 13
 
2.4%
어 13
 
2.4%
니 12
 
2.2%
리 12
 
2.2%
원 12
 
2.2%
Other values (156) 393
73.3%
Common
ValueCountFrequency (%)
10
37.0%
0 4
 
14.8%
1 2
 
7.4%
2 2
 
7.4%
3 2
 
7.4%
6 2
 
7.4%
- 2
 
7.4%
7 2
 
7.4%
& 1
 
3.7%
Latin
ValueCountFrequency (%)
K 2
50.0%
O 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 536
94.5%
ASCII 31
 
5.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 21
 
3.9%
시 18
 
3.4%
업 14
 
2.6%
이 14
 
2.6%
장 14
 
2.6%
우 13
 
2.4%
어 13
 
2.4%
니 12
 
2.2%
리 12
 
2.2%
원 12
 
2.2%
Other values (156) 393
73.3%
ASCII
ValueCountFrequency (%)
10
32.3%
0 4
 
12.9%
1 2
 
6.5%
2 2
 
6.5%
K 2
 
6.5%
3 2
 
6.5%
O 2
 
6.5%
6 2
 
6.5%
- 2
 
6.5%
7 2
 
6.5%

사업량
Real number (ℝ)

HIGH CORRELATION 

Distinct40
Distinct (%)63.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.730159
Minimum6
Maximum734
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-13T03:30:43.699779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile7.1
Q112
median40
Q3175
95-th percentile325.2
Maximum734
Range728
Interquartile range (IQR)163

Descriptive statistics

Standard deviation128.89496
Coefficient of variation (CV)1.3055277
Kurtosis8.4537682
Mean98.730159
Median Absolute Deviation (MAD)30
Skewness2.4289094
Sum6220
Variance16613.91
MonotonicityNot monotonic
2023-12-13T03:30:43.856502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
10 6
 
9.5%
12 5
 
7.9%
220 4
 
6.3%
6 3
 
4.8%
80 3
 
4.8%
20 3
 
4.8%
8 3
 
4.8%
40 2
 
3.2%
18 2
 
3.2%
300 2
 
3.2%
Other values (30) 30
47.6%
ValueCountFrequency (%)
6 3
4.8%
7 1
 
1.6%
8 3
4.8%
10 6
9.5%
12 5
7.9%
14 1
 
1.6%
15 1
 
1.6%
18 2
 
3.2%
20 3
4.8%
27 1
 
1.6%
ValueCountFrequency (%)
734 1
 
1.6%
358 1
 
1.6%
340 1
 
1.6%
328 1
 
1.6%
300 2
3.2%
250 1
 
1.6%
220 4
6.3%
210 1
 
1.6%
200 1
 
1.6%
190 1
 
1.6%

전화번호
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size636.0 B
032-466-8836
41 
032-267-6080
16 
032-435-1950
 
4
032-453-5852
 
1
032-425-6070
 
1

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique2 ?
Unique (%)3.2%

Sample

1st row032-453-5852
2nd row032-466-8836
3rd row032-466-8836
4th row032-466-8836
5th row032-466-8836

Common Values

ValueCountFrequency (%)
032-466-8836 41
65.1%
032-267-6080 16
 
25.4%
032-435-1950 4
 
6.3%
032-453-5852 1
 
1.6%
032-425-6070 1
 
1.6%

Length

2023-12-13T03:30:44.341876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:30:44.459523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
032-466-8836 41
65.1%
032-267-6080 16
 
25.4%
032-435-1950 4
 
6.3%
032-453-5852 1
 
1.6%
032-425-6070 1
 
1.6%

Interactions

2023-12-13T03:30:41.365366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:30:41.142700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:30:41.502294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:30:41.254577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:30:44.566264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번수행기관사업구분사업명사업량전화번호
연번1.0000.8790.7671.0000.4460.879
수행기관0.8791.0000.1911.0000.6461.000
사업구분0.7670.1911.0001.0000.7990.191
사업명1.0001.0001.0001.0001.0001.000
사업량0.4460.6460.7991.0001.0000.646
전화번호0.8791.0000.1911.0000.6461.000
2023-12-13T03:30:44.675453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수행기관사업구분전화번호
수행기관1.0000.1521.000
사업구분0.1521.0000.152
전화번호1.0000.1521.000
2023-12-13T03:30:44.760901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사업량수행기관사업구분전화번호
연번1.000-0.3000.5300.5690.530
사업량-0.3001.0000.5010.6360.501
수행기관0.5300.5011.0000.1521.000
사업구분0.5690.6360.1521.0000.152
전화번호0.5300.5011.0000.1521.000

Missing values

2023-12-13T03:30:41.671097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:30:41.792112image/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

연번수행기관사업구분사업명사업량전화번호
01남동구청공익활동우리동네환경지킴이사업734032-453-5852
12남동구 노인인력개발센터공익활동노노케어300032-466-8836
23남동구 노인인력개발센터공익활동노노급식도우미80032-466-8836
34남동구 노인인력개발센터공익활동도시철도안전지킴이210032-466-8836
45남동구 노인인력개발센터공익활동버스정류장클린200032-466-8836
56남동구 노인인력개발센터공익활동불법유동광고물정비220032-466-8836
67남동구 노인인력개발센터공익활동실버농장관리27032-466-8836
78남동구 노인인력개발센터공익활동우리마을자연환경지킴이220032-466-8836
89남동구 노인인력개발센터공익활동약손사업단80032-466-8836
910남동구 노인인력개발센터공익활동장수천지킴이183032-466-8836
연번수행기관사업구분사업명사업량전화번호
5354남동시니어클럽시장형OK6070아파트택배사업 구월점20032-267-6080
5455남동시니어클럽시장형OK6070아파트택배사업 논현점15032-267-6080
5556남동시니어클럽시장형시니어학생건강지킴이52032-267-6080
5657남동시니어클럽시장형예뜰안카페 소래브릿지점6032-267-6080
5758남동시니어클럽취업알선취업알선형250032-267-6080
5859(사)대한노인회인천남동구지회시장형공원녹지청결유지용역사업220032-425-6070
5960남동구노인복지관공익활동우리동네실버캅328032-435-1950
6061남동구노인복지관공익활동은빛정원선생님40032-435-1950
6162남동구노인복지관공익활동우리마을초록정화단20032-435-1950
6263남동구노인복지관공익활동남동복지도우미12032-435-1950