Overview

Dataset statistics

Number of variables10
Number of observations230
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.5 KiB
Average record size in memory82.6 B

Variable types

Categorical6
Text1
DateTime2
Numeric1

Dataset

Description어르신자립형일자리사업 현황
Author한국노인인력개발원
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=AXMYYE3KRB83S1MRYS0Z21195052&infSeq=1

Alerts

사업연도 has constant value ""Constant
임금정보(원) is highly overall correlated with 일자리유형명 and 1 other fieldsHigh correlation
운영기관명 is highly overall correlated with 시군명 and 2 other fieldsHigh correlation
시군명 is highly overall correlated with 운영기관명High correlation
일자리유형명 is highly overall correlated with 운영기관명 and 1 other fieldsHigh correlation
구인상태명 is highly imbalanced (96.0%)Imbalance
모집인원수(명) has 20 (8.7%) zerosZeros

Reproduction

Analysis started2023-12-10 21:24:18.132248
Analysis finished2023-12-10 21:24:18.795354
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업연도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2016
230 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2016
2nd row2016
3rd row2016
4th row2016
5th row2016

Common Values

ValueCountFrequency (%)
2016 230
100.0%

Length

2023-12-11T06:24:18.845299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:24:18.922251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2016 230
100.0%

시군명
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
고양시
78 
수원시
61 
남양주시
48 
가평군
16 
안산시
12 
Other values (2)
15 

Length

Max length4
Median length3
Mean length3.2086957
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row고양시
2nd row남양주시
3rd row고양시
4th row안산시
5th row고양시

Common Values

ValueCountFrequency (%)
고양시 78
33.9%
수원시 61
26.5%
남양주시 48
20.9%
가평군 16
 
7.0%
안산시 12
 
5.2%
성남시 9
 
3.9%
군포시 6
 
2.6%

Length

2023-12-11T06:24:19.012906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:24:19.112295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고양시 78
33.9%
수원시 61
26.5%
남양주시 48
20.9%
가평군 16
 
7.0%
안산시 12
 
5.2%
성남시 9
 
3.9%
군포시 6
 
2.6%

업체명
Text

Distinct229
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-11T06:24:19.261530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length7.726087
Min length3

Characters and Unicode

Total characters1777
Distinct characters306
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique228 ?
Unique (%)99.1%

Sample

1st row콩그린식품2
2nd row성심실버요양원 2호점 1
3rd row(주)광성이앤에스
4th row상록실버요양원2
5th row두리식품2
ValueCountFrequency (%)
1 12
 
4.2%
주식회사 9
 
3.2%
1차 6
 
2.1%
2차 4
 
1.4%
종로상회 4
 
1.4%
동산마을 4
 
1.4%
주)금탑렌트카 3
 
1.1%
안산환경산업 2
 
0.7%
2 2
 
0.7%
주)광성이앤에스 2
 
0.7%
Other values (232) 235
83.0%
2023-12-11T06:24:19.529306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 72
 
4.1%
이 71
 
4.0%
어 57
 
3.2%
주 57
 
3.2%
린 55
 
3.1%
53
 
3.0%
집 50
 
2.8%
원 40
 
2.3%
) 35
 
2.0%
( 35
 
2.0%
Other values (296) 1252
70.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1517
85.4%
Decimal Number 119
 
6.7%
Space Separator 53
 
3.0%
Close Punctuation 35
 
2.0%
Open Punctuation 35
 
2.0%
Uppercase Letter 15
 
0.8%
Other Punctuation 2
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 71
 
4.7%
어 57
 
3.8%
주 57
 
3.8%
린 55
 
3.6%
집 50
 
3.3%
원 40
 
2.6%
차 34
 
2.2%
양 29
 
1.9%
리 27
 
1.8%
요 26
 
1.7%
Other values (277) 1071
70.6%
Uppercase Letter
ValueCountFrequency (%)
H 2
13.3%
J 2
13.3%
A 2
13.3%
P 2
13.3%
I 2
13.3%
V 2
13.3%
K 1
6.7%
N 1
6.7%
B 1
6.7%
Decimal Number
ValueCountFrequency (%)
1 72
60.5%
2 32
26.9%
3 8
 
6.7%
4 4
 
3.4%
5 3
 
2.5%
Space Separator
ValueCountFrequency (%)
53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Other Punctuation
ValueCountFrequency (%)
" 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1517
85.4%
Common 245
 
13.8%
Latin 15
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 71
 
4.7%
어 57
 
3.8%
주 57
 
3.8%
린 55
 
3.6%
집 50
 
3.3%
원 40
 
2.6%
차 34
 
2.2%
양 29
 
1.9%
리 27
 
1.8%
요 26
 
1.7%
Other values (277) 1071
70.6%
Common
ValueCountFrequency (%)
1 72
29.4%
53
21.6%
) 35
14.3%
( 35
14.3%
2 32
13.1%
3 8
 
3.3%
4 4
 
1.6%
5 3
 
1.2%
" 2
 
0.8%
+ 1
 
0.4%
Latin
ValueCountFrequency (%)
H 2
13.3%
J 2
13.3%
A 2
13.3%
P 2
13.3%
I 2
13.3%
V 2
13.3%
K 1
6.7%
N 1
6.7%
B 1
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1517
85.4%
ASCII 260
 
14.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 72
27.7%
53
20.4%
) 35
13.5%
( 35
13.5%
2 32
12.3%
3 8
 
3.1%
4 4
 
1.5%
5 3
 
1.2%
H 2
 
0.8%
J 2
 
0.8%
Other values (9) 14
 
5.4%
Hangul
ValueCountFrequency (%)
이 71
 
4.7%
어 57
 
3.8%
주 57
 
3.8%
린 55
 
3.6%
집 50
 
3.3%
원 40
 
2.6%
차 34
 
2.2%
양 29
 
1.9%
리 27
 
1.8%
요 26
 
1.7%
Other values (277) 1071
70.6%

구인상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
완료
229 
모집중
 
1

Length

Max length3
Median length2
Mean length2.0043478
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row모집중
2nd row완료
3rd row완료
4th row완료
5th row완료

Common Values

ValueCountFrequency (%)
완료 229
99.6%
모집중 1
 
0.4%

Length

2023-12-11T06:24:19.638866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:24:19.719102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
완료 229
99.6%
모집중 1
 
0.4%

일자리유형명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
인턴형
183 
연수형
39 
인턴형|연수형
 
8

Length

Max length7
Median length3
Mean length3.1391304
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인턴형 183
79.6%
연수형 39
 
17.0%
인턴형|연수형 8
 
3.5%

Length

2023-12-11T06:24:19.809249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:24:19.912741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인턴형 183
79.6%
연수형 39
 
17.0%
인턴형|연수형 8
 
3.5%

운영기관명
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
수원시니어클럽
39 
경기동부상공회의소
35 
(사)고양시기업.경제인연합회
32 
(사)대한노인회 고양통합취업지원센터
24 
고양상공회의소
22 
Other values (6)
78 

Length

Max length19
Median length13
Mean length10.204348
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row(사)고양시기업.경제인연합회
2nd row남양주시니어클럽
3rd row고양상공회의소
4th row안산시니어클럽
5th row(사)대한노인회 고양통합취업지원센터

Common Values

ValueCountFrequency (%)
수원시니어클럽 39
17.0%
경기동부상공회의소 35
15.2%
(사)고양시기업.경제인연합회 32
13.9%
(사)대한노인회 고양통합취업지원센터 24
10.4%
고양상공회의소 22
9.6%
경기복지재단 22
9.6%
(사)대한노인회가평군지회 16
7.0%
남양주시니어클럽 13
 
5.7%
안산시니어클럽 12
 
5.2%
수정중앙노인종합복지관 9
 
3.9%

Length

2023-12-11T06:24:20.028973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시니어클럽 39
15.4%
경기동부상공회의소 35
13.8%
사)고양시기업.경제인연합회 32
12.6%
사)대한노인회 24
9.4%
고양통합취업지원센터 24
9.4%
고양상공회의소 22
8.7%
경기복지재단 22
8.7%
사)대한노인회가평군지회 16
6.3%
남양주시니어클럽 13
 
5.1%
안산시니어클럽 12
 
4.7%
Other values (2) 15
 
5.9%

공고시작일자
Date

Distinct101
Distinct (%)43.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2015-12-01 00:00:00
Maximum2016-08-22 00:00:00
2023-12-11T06:24:20.186574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:24:20.297796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공고종료일자
Date

Distinct108
Distinct (%)47.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2015-12-30 00:00:00
Maximum2016-12-31 00:00:00
2023-12-11T06:24:20.406716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:24:20.536835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

임금정보(원)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
기관문의
191 
300,000
39 

Length

Max length7
Median length4
Mean length4.5086957
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기관문의 191
83.0%
300,000 39
 
17.0%

Length

2023-12-11T06:24:20.681015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:24:20.773208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기관문의 191
83.0%
300,000 39
 
17.0%

모집인원수(명)
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0695652
Minimum0
Maximum25
Zeros20
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-11T06:24:20.852588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile7.55
Maximum25
Range25
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.0732591
Coefficient of variation (CV)1.4849781
Kurtosis21.292451
Mean2.0695652
Median Absolute Deviation (MAD)0
Skewness4.1707756
Sum476
Variance9.4449212
MonotonicityNot monotonic
2023-12-11T06:24:20.957390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1 138
60.0%
2 31
 
13.5%
0 20
 
8.7%
3 13
 
5.7%
4 7
 
3.0%
5 5
 
2.2%
6 3
 
1.3%
12 3
 
1.3%
8 2
 
0.9%
10 2
 
0.9%
Other values (6) 6
 
2.6%
ValueCountFrequency (%)
0 20
 
8.7%
1 138
60.0%
2 31
 
13.5%
3 13
 
5.7%
4 7
 
3.0%
5 5
 
2.2%
6 3
 
1.3%
7 1
 
0.4%
8 2
 
0.9%
10 2
 
0.9%
ValueCountFrequency (%)
25 1
 
0.4%
20 1
 
0.4%
15 1
 
0.4%
14 1
 
0.4%
13 1
 
0.4%
12 3
1.3%
10 2
0.9%
8 2
0.9%
7 1
 
0.4%
6 3
1.3%

Interactions

2023-12-11T06:24:18.545470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:24:21.030450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명구인상태명일자리유형명운영기관명임금정보(원)모집인원수(명)
시군명1.0000.0000.5581.0000.3540.471
구인상태명0.0001.0000.0000.0000.0000.000
일자리유형명0.5580.0001.0000.6811.0000.514
운영기관명1.0000.0000.6811.0000.5620.442
임금정보(원)0.3540.0001.0000.5621.0000.000
모집인원수(명)0.4710.0000.5140.4420.0001.000
2023-12-11T06:24:21.144238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
임금정보(원)운영기관명시군명구인상태명일자리유형명
임금정보(원)1.0000.5310.3750.0000.998
운영기관명0.5311.0000.9910.0000.513
시군명0.3750.9911.0000.0000.443
구인상태명0.0000.0000.0001.0000.000
일자리유형명0.9980.5130.4430.0001.000
2023-12-11T06:24:21.233017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
모집인원수(명)시군명구인상태명일자리유형명운영기관명임금정보(원)
모집인원수(명)1.0000.2770.0000.2390.2340.000
시군명0.2771.0000.0000.4430.9910.375
구인상태명0.0000.0001.0000.0000.0000.000
일자리유형명0.2390.4430.0001.0000.5130.998
운영기관명0.2340.9910.0000.5131.0000.531
임금정보(원)0.0000.3750.0000.9980.5311.000

Missing values

2023-12-11T06:24:18.641939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:24:18.752745image/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

사업연도시군명업체명구인상태명일자리유형명운영기관명공고시작일자공고종료일자임금정보(원)모집인원수(명)
02016고양시콩그린식품2모집중인턴형(사)고양시기업.경제인연합회2016-08-222016-08-26기관문의1
12016남양주시성심실버요양원 2호점 1완료인턴형남양주시니어클럽2016-04-212016-04-26기관문의1
22016고양시(주)광성이앤에스완료인턴형고양상공회의소2016-04-202016-05-09기관문의1
32016안산시상록실버요양원2완료인턴형안산시니어클럽2016-04-252016-05-01기관문의1
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