Overview

Dataset statistics

Number of variables13
Number of observations68
Missing cells136
Missing cells (%)15.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.2 KiB
Average record size in memory108.9 B

Variable types

Numeric1
Categorical6
Text3
Unsupported2
DateTime1

Dataset

Description남해군 내 생활지원정책 정보에 대한 데이터로 남해군 내 생활지원을 위한 정책 공고명, 지원대상, 지원내용, 신청기간 등에 대한 정보를 제공합니다.
Author경상남도 남해군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15109553

Alerts

데이터기준일자 has constant value ""Constant
관리기관명 is highly overall correlated with 담당부서명High correlation
담당부서명 is highly overall correlated with 관리기관명High correlation
자료일련번호 is highly overall correlated with 분야명 and 3 other fieldsHigh correlation
분야명 is highly overall correlated with 자료일련번호 and 3 other fieldsHigh correlation
지원대상 is highly overall correlated with 자료일련번호 and 3 other fieldsHigh correlation
지원내용 is highly overall correlated with 자료일련번호 and 2 other fieldsHigh correlation
신청방법 is highly overall correlated with 자료일련번호 and 2 other fieldsHigh correlation
신청시작일자 has 68 (100.0%) missing valuesMissing
신청종료일자 has 68 (100.0%) missing valuesMissing
자료일련번호 has unique valuesUnique
신청시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
신청종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 22:40:37.213055
Analysis finished2023-12-10 22:40:38.056542
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자료일련번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.5
Minimum1
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-11T07:40:38.111506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.35
Q117.75
median34.5
Q351.25
95-th percentile64.65
Maximum68
Range67
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation19.77372
Coefficient of variation (CV)0.5731513
Kurtosis-1.2
Mean34.5
Median Absolute Deviation (MAD)17
Skewness0
Sum2346
Variance391
MonotonicityStrictly increasing
2023-12-11T07:40:38.217912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
45 1
 
1.5%
51 1
 
1.5%
50 1
 
1.5%
49 1
 
1.5%
48 1
 
1.5%
47 1
 
1.5%
46 1
 
1.5%
44 1
 
1.5%
36 1
 
1.5%
Other values (58) 58
85.3%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
68 1
1.5%
67 1
1.5%
66 1
1.5%
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%

분야명
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Memory size676.0 B
아동돌봄
22 
전입
10 
복지급여
양육
기타
Other values (7)
15 

Length

Max length4
Median length4
Mean length3.2352941
Min length2

Unique

Unique3 ?
Unique (%)4.4%

Sample

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

Common Values

ValueCountFrequency (%)
아동돌봄 22
32.4%
전입 10
14.7%
복지급여 9
13.2%
양육 7
 
10.3%
기타 5
 
7.4%
시설대관 4
 
5.9%
귀농귀촌 3
 
4.4%
육아돌봄 3
 
4.4%
다자녀 2
 
2.9%
주거 1
 
1.5%
Other values (2) 2
 
2.9%

Length

2023-12-11T07:40:38.329447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
아동돌봄 22
32.4%
전입 10
14.7%
복지급여 9
13.2%
양육 7
 
10.3%
기타 5
 
7.4%
시설대관 4
 
5.9%
귀농귀촌 3
 
4.4%
육아돌봄 3
 
4.4%
다자녀 2
 
2.9%
주거 1
 
1.5%
Other values (2) 2
 
2.9%
Distinct49
Distinct (%)72.1%
Missing0
Missing (%)0.0%
Memory size676.0 B
2023-12-11T07:40:38.539825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length10.470588
Min length4

Characters and Unicode

Total characters712
Distinct characters147
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)67.6%

Sample

1st row전입축하금 지원
2nd row전입세대 주민세 지원
3rd row전입세대 빈집수리비 지원
4th row영농정착 지원
5th row주차장이용권 제공
ValueCountFrequency (%)
지원 22
 
14.4%
초등학교 13
 
8.5%
돌봄교실 13
 
8.5%
지역아동센터 7
 
4.6%
양육수당 5
 
3.3%
다자녀 3
 
2.0%
이상 3
 
2.0%
우대인증 2
 
1.3%
보육료 2
 
1.3%
전입세대 2
 
1.3%
Other values (73) 81
52.9%
2023-12-11T07:40:38.867117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
85
 
11.9%
35
 
4.9%
29
 
4.1%
25
 
3.5%
20
 
2.8%
17
 
2.4%
16
 
2.2%
16
 
2.2%
15
 
2.1%
15
 
2.1%
Other values (137) 439
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 604
84.8%
Space Separator 85
 
11.9%
Open Punctuation 5
 
0.7%
Close Punctuation 5
 
0.7%
Other Punctuation 5
 
0.7%
Decimal Number 5
 
0.7%
Math Symbol 2
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
35
 
5.8%
29
 
4.8%
25
 
4.1%
20
 
3.3%
17
 
2.8%
16
 
2.6%
16
 
2.6%
15
 
2.5%
15
 
2.5%
15
 
2.5%
Other values (125) 401
66.4%
Decimal Number
ValueCountFrequency (%)
3 2
40.0%
5 1
20.0%
0 1
20.0%
2 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 2
40.0%
· 2
40.0%
1
20.0%
Space Separator
ValueCountFrequency (%)
85
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 604
84.8%
Common 108
 
15.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
35
 
5.8%
29
 
4.8%
25
 
4.1%
20
 
3.3%
17
 
2.8%
16
 
2.6%
16
 
2.6%
15
 
2.5%
15
 
2.5%
15
 
2.5%
Other values (125) 401
66.4%
Common
ValueCountFrequency (%)
85
78.7%
( 5
 
4.6%
) 5
 
4.6%
~ 2
 
1.9%
, 2
 
1.9%
3 2
 
1.9%
· 2
 
1.9%
5 1
 
0.9%
0 1
 
0.9%
2 1
 
0.9%
Other values (2) 2
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 604
84.8%
ASCII 105
 
14.7%
None 2
 
0.3%
Punctuation 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
85
81.0%
( 5
 
4.8%
) 5
 
4.8%
~ 2
 
1.9%
, 2
 
1.9%
3 2
 
1.9%
5 1
 
1.0%
0 1
 
1.0%
2 1
 
1.0%
- 1
 
1.0%
Hangul
ValueCountFrequency (%)
35
 
5.8%
29
 
4.8%
25
 
4.1%
20
 
3.3%
17
 
2.8%
16
 
2.6%
16
 
2.6%
15
 
2.5%
15
 
2.5%
15
 
2.5%
Other values (125) 401
66.4%
None
ValueCountFrequency (%)
· 2
100.0%
Punctuation
ValueCountFrequency (%)
1
100.0%

지원대상
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size676.0 B
아동기 가정
20 
영유아 가정
12 
전입자
11 
아동청소년 가정
다자녀 가정
Other values (4)
11 

Length

Max length8
Median length6
Mean length5.3970588
Min length3

Unique

Unique2 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
아동기 가정 20
29.4%
영유아 가정 12
17.6%
전입자 11
16.2%
아동청소년 가정 8
 
11.8%
다자녀 가정 6
 
8.8%
남해군민 6
 
8.8%
귀농인 3
 
4.4%
청소년 1
 
1.5%
다문화 가정 1
 
1.5%

Length

2023-12-11T07:40:38.977234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:40:39.093646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정 47
40.9%
아동기 20
17.4%
영유아 12
 
10.4%
전입자 11
 
9.6%
아동청소년 8
 
7.0%
다자녀 6
 
5.2%
남해군민 6
 
5.2%
귀농인 3
 
2.6%
청소년 1
 
0.9%
다문화 1
 
0.9%

지원내용
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size676.0 B
교육지원
29 
생계지원
28 
사회복지시설이용지원
주거지원
의료지원
 
1

Length

Max length10
Median length4
Mean length4.5294118
Min length4

Unique

Unique1 ?
Unique (%)1.5%

Sample

1st row생계지원
2nd row생계지원
3rd row주거지원
4th row생계지원
5th row생계지원

Common Values

ValueCountFrequency (%)
교육지원 29
42.6%
생계지원 28
41.2%
사회복지시설이용지원 6
 
8.8%
주거지원 4
 
5.9%
의료지원 1
 
1.5%

Length

2023-12-11T07:40:39.225603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:40:39.312774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교육지원 29
42.6%
생계지원 28
41.2%
사회복지시설이용지원 6
 
8.8%
주거지원 4
 
5.9%
의료지원 1
 
1.5%

신청시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

신청종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

신청방법
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
방문접수
34 
전화접수
25 
인터넷접수
방문접수·인터넷접수
 
2

Length

Max length10
Median length4
Mean length4.2794118
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
방문접수 34
50.0%
전화접수 25
36.8%
인터넷접수 7
 
10.3%
방문접수·인터넷접수 2
 
2.9%

Length

2023-12-11T07:40:39.408254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:40:39.497124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방문접수 34
50.0%
전화접수 25
36.8%
인터넷접수 7
 
10.3%
방문접수·인터넷접수 2
 
2.9%
Distinct37
Distinct (%)54.4%
Missing0
Missing (%)0.0%
Memory size676.0 B
2023-12-11T07:40:39.643623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length124
Median length56
Mean length62.441176
Min length35

Characters and Unicode

Total characters4246
Distinct characters80
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)39.7%

Sample

1st rowhttps://www.namhae.go.kr/support/Index.do?c=SP0201000000
2nd rowhttps://www.namhae.go.kr/support/Index.do?c=SP0201000000
3rd rowhttps://www.namhae.go.kr/support/Index.do?c=SP0201000000
4th rowhttps://www.namhae.go.kr/support/Index.do?c=SP0201000000
5th rowhttps://www.namhae.go.kr/support/Index.do?c=SP0201000000
ValueCountFrequency (%)
https://www.namhae.go.kr/support/index.do?c=sp0201000000 10
 
12.8%
https://www.namhae.go.kr/support/index.do?c=sp0803000000 7
 
9.0%
https://www.namhae.go.kr/support/index.do?c=sp0804000000 5
 
6.4%
https://www.namhae.go.kr/sports/facility/list.do?category=youth&pagecd=ee0307000000&sitegubun=sports 4
 
5.1%
https://www.namhae.go.kr/welfare/index.do?c=wl0306010100 4
 
5.1%
4
 
5.1%
https://www.namhae.go.kr/welfare/index.do?c=wl0306010300 3
 
3.8%
namhae.go.kr 2
 
2.6%
https://www.namhae.go.kr/support/index.do?c=sp0701000000 2
 
2.6%
https://www.namhae.go.kr/support/index.do?c=sp0302010000 2
 
2.6%
Other values (31) 35
44.9%
2023-12-11T07:40:39.929271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 328
 
7.7%
/ 296
 
7.0%
t 284
 
6.7%
. 259
 
6.1%
o 198
 
4.7%
e 197
 
4.6%
n 182
 
4.3%
p 180
 
4.2%
w 163
 
3.8%
s 154
 
3.6%
Other values (70) 2005
47.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2558
60.2%
Other Punctuation 709
 
16.7%
Decimal Number 586
 
13.8%
Uppercase Letter 225
 
5.3%
Math Symbol 91
 
2.1%
Dash Punctuation 28
 
0.7%
Other Letter 28
 
0.7%
Space Separator 10
 
0.2%
Connector Punctuation 7
 
0.2%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 284
 
11.1%
o 198
 
7.7%
e 197
 
7.7%
n 182
 
7.1%
p 180
 
7.0%
w 163
 
6.4%
s 154
 
6.0%
a 152
 
5.9%
h 141
 
5.5%
d 138
 
5.4%
Other values (15) 769
30.1%
Uppercase Letter
ValueCountFrequency (%)
I 63
28.0%
S 32
14.2%
P 28
12.4%
L 27
12.0%
N 18
 
8.0%
E 14
 
6.2%
W 9
 
4.0%
C 7
 
3.1%
D 5
 
2.2%
T 4
 
1.8%
Other values (8) 18
 
8.0%
Other Letter
ValueCountFrequency (%)
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
Other values (4) 8
28.6%
Decimal Number
ValueCountFrequency (%)
0 328
56.0%
1 44
 
7.5%
3 44
 
7.5%
2 36
 
6.1%
5 31
 
5.3%
7 26
 
4.4%
8 23
 
3.9%
4 23
 
3.9%
6 20
 
3.4%
9 11
 
1.9%
Other Punctuation
ValueCountFrequency (%)
/ 296
41.7%
. 259
36.5%
: 66
 
9.3%
? 62
 
8.7%
& 25
 
3.5%
# 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
= 87
95.6%
| 4
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2783
65.5%
Common 1435
33.8%
Hangul 28
 
0.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 284
 
10.2%
o 198
 
7.1%
e 197
 
7.1%
n 182
 
6.5%
p 180
 
6.5%
w 163
 
5.9%
s 154
 
5.5%
a 152
 
5.5%
h 141
 
5.1%
d 138
 
5.0%
Other values (33) 994
35.7%
Common
ValueCountFrequency (%)
0 328
22.9%
/ 296
20.6%
. 259
18.0%
= 87
 
6.1%
: 66
 
4.6%
? 62
 
4.3%
1 44
 
3.1%
3 44
 
3.1%
2 36
 
2.5%
5 31
 
2.2%
Other values (13) 182
12.7%
Hangul
ValueCountFrequency (%)
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
Other values (4) 8
28.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4218
99.3%
Hangul 28
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 328
 
7.8%
/ 296
 
7.0%
t 284
 
6.7%
. 259
 
6.1%
o 198
 
4.7%
e 197
 
4.7%
n 182
 
4.3%
p 180
 
4.3%
w 163
 
3.9%
s 154
 
3.7%
Other values (56) 1977
46.9%
Hangul
ValueCountFrequency (%)
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
Other values (4) 8
28.6%

관리기관명
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)36.8%
Missing0
Missing (%)0.0%
Memory size676.0 B
남해군청
43 
한국전력
 
2
남해군 이동초
 
1
남해군 고현초
 
1
남해군 남명초
 
1
Other values (20)
20 

Length

Max length16
Median length4
Mean length5.8088235
Min length4

Unique

Unique23 ?
Unique (%)33.8%

Sample

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

Common Values

ValueCountFrequency (%)
남해군청 43
63.2%
한국전력 2
 
2.9%
남해군 이동초 1
 
1.5%
남해군 고현초 1
 
1.5%
남해군 남명초 1
 
1.5%
남해군 남해초 1
 
1.5%
남해군 도마초 1
 
1.5%
남해군 미조초 1
 
1.5%
남해군 삼동초 1
 
1.5%
남해군 상주초 1
 
1.5%
Other values (15) 15
 
22.1%

Length

2023-12-11T07:40:40.037489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
남해군청 43
47.3%
남해군 22
24.2%
한국전력 2
 
2.2%
해양초 1
 
1.1%
지족초 1
 
1.1%
창선지역아동센터아바의집 1
 
1.1%
남해지역아동센터 1
 
1.1%
솔로몬남면지역아동센터 1
 
1.1%
담쟁이지역아동센터 1
 
1.1%
남해성남지역아동센터 1
 
1.1%
Other values (17) 17
 
18.7%

담당부서명
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Memory size676.0 B
<NA>
25 
청년혁신과
15 
주민복지과 여성친화팀
15 
주민복지과
재무과
 
2
Other values (7)

Length

Max length11
Median length6
Mean length6.1764706
Min length3

Unique

Unique6 ?
Unique (%)8.8%

Sample

1st row민원지적과
2nd row재무과
3rd row도시건축과
4th row청년혁신과
5th row건설교통과

Common Values

ValueCountFrequency (%)
<NA> 25
36.8%
청년혁신과 15
22.1%
주민복지과 여성친화팀 15
22.1%
주민복지과 3
 
4.4%
재무과 2
 
2.9%
주민복지과 복지정책팀 2
 
2.9%
민원지적과 1
 
1.5%
도시건축과 1
 
1.5%
건설교통과 1
 
1.5%
환경물관리단 1
 
1.5%
Other values (2) 2
 
2.9%

Length

2023-12-11T07:40:40.141837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 25
29.1%
주민복지과 21
24.4%
청년혁신과 15
17.4%
여성친화팀 15
17.4%
재무과 2
 
2.3%
복지정책팀 2
 
2.3%
민원지적과 1
 
1.2%
도시건축과 1
 
1.2%
건설교통과 1
 
1.2%
환경물관리단 1
 
1.2%
Other values (2) 2
 
2.3%
Distinct42
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Memory size676.0 B
2023-12-11T07:40:40.314727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.735294
Min length3

Characters and Unicode

Total characters798
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)51.5%

Sample

1st row055-860-3002
2nd row055-860-3177
3rd row055-860-3490
4th row055-860-8639
5th row055-860-3455
ValueCountFrequency (%)
055-860-8639 10
 
14.7%
055-860-3829 6
 
8.8%
055-860-3848 5
 
7.4%
055-860-3850 4
 
5.9%
055-860-8776 4
 
5.9%
055-860-3803 2
 
2.9%
123 2
 
2.9%
055-867-4054 1
 
1.5%
055-862-0585 1
 
1.5%
055-860-3002 1
 
1.5%
Other values (32) 32
47.1%
2023-12-11T07:40:40.592858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 144
18.0%
0 140
17.5%
- 131
16.4%
8 113
14.2%
6 98
12.3%
3 52
 
6.5%
9 25
 
3.1%
7 25
 
3.1%
2 23
 
2.9%
4 23
 
2.9%
Other values (2) 24
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 666
83.5%
Dash Punctuation 131
 
16.4%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 144
21.6%
0 140
21.0%
8 113
17.0%
6 98
14.7%
3 52
 
7.8%
9 25
 
3.8%
7 25
 
3.8%
2 23
 
3.5%
4 23
 
3.5%
1 23
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 131
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 798
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 144
18.0%
0 140
17.5%
- 131
16.4%
8 113
14.2%
6 98
12.3%
3 52
 
6.5%
9 25
 
3.1%
7 25
 
3.1%
2 23
 
2.9%
4 23
 
2.9%
Other values (2) 24
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 798
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 144
18.0%
0 140
17.5%
- 131
16.4%
8 113
14.2%
6 98
12.3%
3 52
 
6.5%
9 25
 
3.1%
7 25
 
3.1%
2 23
 
2.9%
4 23
 
2.9%
Other values (2) 24
 
3.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size676.0 B
Minimum2022-07-07 00:00:00
Maximum2022-07-07 00:00:00
2023-12-11T07:40:40.686559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:40:40.757441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T07:40:37.773462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:40:40.818331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자료일련번호분야명공고명지원대상지원내용신청방법링크주소(URL)관리기관명담당부서명기관전화번호
자료일련번호1.0000.8970.9370.8120.8600.7890.9630.6050.7520.941
분야명0.8971.0000.9970.9050.8310.9720.9940.0000.5650.000
공고명0.9370.9971.0000.9971.0001.0000.0000.0001.0000.000
지원대상0.8120.9050.9971.0000.7360.7230.8780.0000.0000.822
지원내용0.8600.8311.0000.7361.0000.5560.6120.6100.4760.000
신청방법0.7890.9721.0000.7230.5561.0000.9420.1190.6330.887
링크주소(URL)0.9630.9940.0000.8780.6120.9421.0000.9970.4980.990
관리기관명0.6050.0000.0000.0000.6100.1190.9971.000NaN0.998
담당부서명0.7520.5651.0000.0000.4760.6330.498NaN1.0001.000
기관전화번호0.9410.0000.0000.8220.0000.8870.9900.9981.0001.000
2023-12-11T07:40:41.112097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리기관명담당부서명지원내용지원대상신청방법분야명
관리기관명1.0001.0000.2480.0000.0000.000
담당부서명1.0001.0000.2690.0000.3920.179
지원내용0.2480.2691.0000.5240.4780.616
지원대상0.0000.0000.5241.0000.5370.665
신청방법0.0000.3920.4780.5371.0000.731
분야명0.0000.1790.6160.6650.7311.000
2023-12-11T07:40:41.196074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자료일련번호분야명지원대상지원내용신청방법관리기관명담당부서명
자료일련번호1.0000.6550.5400.5060.5780.2120.466
분야명0.6551.0000.6650.6160.7310.0000.179
지원대상0.5400.6651.0000.5240.5370.0000.000
지원내용0.5060.6160.5241.0000.4780.2480.269
신청방법0.5780.7310.5370.4781.0000.0000.392
관리기관명0.2120.0000.0000.2480.0001.0001.000
담당부서명0.4660.1790.0000.2690.3921.0001.000

Missing values

2023-12-11T07:40:37.871419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:40:38.006164image/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

자료일련번호분야명공고명지원대상지원내용신청시작일자신청종료일자신청방법링크주소(URL)관리기관명담당부서명기관전화번호데이터기준일자
01전입전입축하금 지원전입자생계지원<NA><NA>전화접수https://www.namhae.go.kr/support/Index.do?c=SP0201000000남해군청민원지적과055-860-30022022-07-07
12전입전입세대 주민세 지원전입자생계지원<NA><NA>전화접수https://www.namhae.go.kr/support/Index.do?c=SP0201000000남해군청재무과055-860-31772022-07-07
23전입전입세대 빈집수리비 지원전입자주거지원<NA><NA>전화접수https://www.namhae.go.kr/support/Index.do?c=SP0201000000남해군청도시건축과055-860-34902022-07-07
34전입영농정착 지원전입자생계지원<NA><NA>전화접수https://www.namhae.go.kr/support/Index.do?c=SP0201000000남해군청청년혁신과055-860-86392022-07-07
45전입주차장이용권 제공전입자생계지원<NA><NA>전화접수https://www.namhae.go.kr/support/Index.do?c=SP0201000000남해군청건설교통과055-860-34552022-07-07
56전입남해사랑 우대인증 발급전입자사회복지시설이용지원<NA><NA>전화접수https://www.namhae.go.kr/support/Index.do?c=SP0201000000남해군청청년혁신과055-860-86392022-07-07
67전입쓰레기 종량제봉투 지원전입자생계지원<NA><NA>전화접수https://www.namhae.go.kr/support/Index.do?c=SP0201000000남해군청환경물관리단055-860-32642022-07-07
78전입전입 초·중·고 학생지원전입자생계지원<NA><NA>전화접수https://www.namhae.go.kr/support/Index.do?c=SP0201000000남해군청청년혁신과055-860-86392022-07-07
89전입전입대학생 지원전입자주거지원<NA><NA>전화접수https://www.namhae.go.kr/support/Index.do?c=SP0201000000남해군청청년혁신과055-860-86392022-07-07
910전입인구늘리기 유공 인센티브전입자생계지원<NA><NA>전화접수https://www.namhae.go.kr/support/Index.do?c=SP0201000000남해군청청년혁신과055-860-86392022-07-07
자료일련번호분야명공고명지원대상지원내용신청시작일자신청종료일자신청방법링크주소(URL)관리기관명담당부서명기관전화번호데이터기준일자
5859아동돌봄초등학교 돌봄교실아동기 가정교육지원<NA><NA>방문접수http://haeyang-p.gne.go.kr/haeyang-p/na/ntt/selectNttList.do?mi=249179&bbsId=228052남해군 해양초<NA>055-862-05852022-07-07
5960아동돌봄남해군 다함께돌봄센터아동기 가정교육지원<NA><NA>인터넷접수https://www.gov.kr/portal/onestopSvc#osCareDetail남해군 다함께돌봄센터<NA>070-8988-11112022-07-07
6061아동돌봄지역아동센터아동청소년 가정교육지원<NA><NA>방문접수http://www.hjy.kr/center/index.php?cId=fhepa2011남해군 남해로뎀 지역아동센터<NA>070-4155-29952022-07-07
6162아동돌봄지역아동센터아동청소년 가정교육지원<NA><NA>방문접수http://www.hjy.kr/center/index.php?cId=qkrekdns남해군 물건리지역아동센터<NA>055-867-89002022-07-07
6263아동돌봄지역아동센터아동청소년 가정교육지원<NA><NA>방문접수http://www.hjy.kr/center/index.php?cId=pcs629남해군 남해성남지역아동센터<NA>055-862-49112022-07-07
6364아동돌봄지역아동센터아동청소년 가정교육지원<NA><NA>방문접수http://www.hjy.kr/center/index.php?cId=kmu5085남해군 담쟁이지역아동센터<NA>055-863-36802022-07-07
6465아동돌봄지역아동센터아동청소년 가정교육지원<NA><NA>방문접수http://www.hjy.kr/center/index.php?cId=sun04001남해군 솔로몬남면지역아동센터<NA>070-4110-89622022-07-07
6566아동돌봄지역아동센터아동청소년 가정교육지원<NA><NA>방문접수http://www.hjy.kr/center/index.php?cId=ksjjmj21남해군 남해지역아동센터<NA>055-863-51332022-07-07
6667아동돌봄지역아동센터아동청소년 가정교육지원<NA><NA>방문접수http://www.xn--2q1bx7wo6cktak2mson.com/center/index.php?cId=d125500남해군 창선지역아동센터아바의집<NA>055-867-74262022-07-07
6768아동돌봄아이돌봄 서비스아동기 가정교육지원<NA><NA>방문접수·인터넷접수https://www.idolbom.go.kr/front/upc/comm/htmlInfo.do?SEQ=41&L_MENU_CD=020302&H_MENU_CD=0203&SITE_ID=FRONT&MENU_SITE_ID=FRONT남해군 남해여성회<NA>055-864-66152022-07-07