Overview

Dataset statistics

Number of variables5
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory44.0 B

Variable types

Categorical2
Text3

Dataset

Description성남시 모자보건사업 건강관리사 파견기관에 대한 데이터이며, 구분, 기관명, 주소, 전화번호 등의 항목을 제공하고 있습니다.
URLhttps://www.data.go.kr/data/15004894/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
기관명 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:12:16.797761
Analysis finished2023-12-12 14:12:17.260285
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
분당구
22 
중원구
7 
수정구
4 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수정구
2nd row수정구
3rd row수정구
4th row수정구
5th row중원구

Common Values

ValueCountFrequency (%)
분당구 22
66.7%
중원구 7
 
21.2%
수정구 4
 
12.1%

Length

2023-12-12T23:12:17.337618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:12:17.457167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분당구 22
66.7%
중원구 7
 
21.2%
수정구 4
 
12.1%

기관명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T23:12:17.690363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length9.5757576
Min length3

Characters and Unicode

Total characters316
Distinct characters94
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row산모맘사랑
2nd row산모피아 성남분당직영지사
3rd row(성남지점)해피케어
4th row키움 맘 케어
5th row산모도우미119
ValueCountFrequency (%)
성남지사 3
 
6.0%
산후도우미 3
 
6.0%
맘 2
 
4.0%
성남분당지사)엔젤스맘 1
 
2.0%
조은맘산후도우미(성남점 1
 
2.0%
성남ywca돌봄센터 1
 
2.0%
슈퍼맘 1
 
2.0%
a+)에이플러스산모케어 1
 
2.0%
성남분당)다산케어센터 1
 
2.0%
산모케어성남 1
 
2.0%
Other values (35) 35
70.0%
2023-12-12T23:12:18.122522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
맘 17
 
5.4%
17
 
5.4%
성 15
 
4.7%
남 15
 
4.7%
산 13
 
4.1%
사 12
 
3.8%
( 11
 
3.5%
어 11
 
3.5%
케 11
 
3.5%
) 11
 
3.5%
Other values (84) 183
57.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 257
81.3%
Space Separator 17
 
5.4%
Open Punctuation 11
 
3.5%
Close Punctuation 11
 
3.5%
Uppercase Letter 11
 
3.5%
Math Symbol 3
 
0.9%
Decimal Number 3
 
0.9%
Other Punctuation 2
 
0.6%
Other Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
맘 17
 
6.6%
성 15
 
5.8%
남 15
 
5.8%
산 13
 
5.1%
사 12
 
4.7%
어 11
 
4.3%
케 11
 
4.3%
도 10
 
3.9%
미 9
 
3.5%
지 8
 
3.1%
Other values (69) 136
52.9%
Uppercase Letter
ValueCountFrequency (%)
A 4
36.4%
Y 2
18.2%
S 2
18.2%
C 1
 
9.1%
W 1
 
9.1%
E 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
9 1
33.3%
Other Punctuation
ValueCountFrequency (%)
# 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 258
81.6%
Common 47
 
14.9%
Latin 11
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
맘 17
 
6.6%
성 15
 
5.8%
남 15
 
5.8%
산 13
 
5.0%
사 12
 
4.7%
어 11
 
4.3%
케 11
 
4.3%
도 10
 
3.9%
미 9
 
3.5%
지 8
 
3.1%
Other values (70) 137
53.1%
Common
ValueCountFrequency (%)
17
36.2%
( 11
23.4%
) 11
23.4%
+ 3
 
6.4%
1 2
 
4.3%
# 1
 
2.1%
9 1
 
2.1%
& 1
 
2.1%
Latin
ValueCountFrequency (%)
A 4
36.4%
Y 2
18.2%
S 2
18.2%
C 1
 
9.1%
W 1
 
9.1%
E 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 257
81.3%
ASCII 58
 
18.4%
None 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
맘 17
 
6.6%
성 15
 
5.8%
남 15
 
5.8%
산 13
 
5.1%
사 12
 
4.7%
어 11
 
4.3%
케 11
 
4.3%
도 10
 
3.9%
미 9
 
3.5%
지 8
 
3.1%
Other values (69) 136
52.9%
ASCII
ValueCountFrequency (%)
17
29.3%
( 11
19.0%
) 11
19.0%
A 4
 
6.9%
+ 3
 
5.2%
Y 2
 
3.4%
1 2
 
3.4%
S 2
 
3.4%
C 1
 
1.7%
W 1
 
1.7%
Other values (4) 4
 
6.9%
None
ValueCountFrequency (%)
㈜ 1
100.0%

주소
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T23:12:18.402440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length42
Mean length35.181818
Min length23

Characters and Unicode

Total characters1161
Distinct characters108
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

Unique33 ?
Unique (%)100.0%

Sample

1st row경기도 성남시 수정구 산성대로 331, 431호(신흥동, 한신프라자)
2nd row경기도 성남시 수정구 산성대로 311, 3층 306호
3rd row경기도 성남시 수정구 수정로153번길 13, B03호(태평동)
4th row성남시 수정구 산성대로 63번길 7, 301호
5th row성남시 중원구 성남대로1130번길 11, 201호 (성남동)
ValueCountFrequency (%)
성남시 33
 
13.9%
분당구 22
 
9.3%
경기도 20
 
8.4%
중원구 7
 
3.0%
4층 6
 
2.5%
성남대로 6
 
2.5%
황새울로 5
 
2.1%
산성대로 4
 
1.7%
성남동 4
 
1.7%
수정구 4
 
1.7%
Other values (101) 126
53.2%
2023-12-12T23:12:18.787067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
204
 
17.6%
성 50
 
4.3%
1 49
 
4.2%
남 46
 
4.0%
, 44
 
3.8%
0 41
 
3.5%
3 40
 
3.4%
구 38
 
3.3%
로 33
 
2.8%
시 33
 
2.8%
Other values (98) 583
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 617
53.1%
Decimal Number 240
 
20.7%
Space Separator 204
 
17.6%
Other Punctuation 44
 
3.8%
Open Punctuation 19
 
1.6%
Close Punctuation 19
 
1.6%
Uppercase Letter 11
 
0.9%
Dash Punctuation 7
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 50
 
8.1%
남 46
 
7.5%
구 38
 
6.2%
로 33
 
5.3%
시 33
 
5.3%
호 33
 
5.3%
당 23
 
3.7%
분 22
 
3.6%
동 21
 
3.4%
번 20
 
3.2%
Other values (77) 298
48.3%
Decimal Number
ValueCountFrequency (%)
1 49
20.4%
0 41
17.1%
3 40
16.7%
2 26
10.8%
4 24
10.0%
5 22
9.2%
6 12
 
5.0%
8 11
 
4.6%
9 9
 
3.8%
7 6
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
B 4
36.4%
Z 2
18.2%
E 2
18.2%
C 1
 
9.1%
F 1
 
9.1%
A 1
 
9.1%
Space Separator
ValueCountFrequency (%)
204
100.0%
Other Punctuation
ValueCountFrequency (%)
, 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 617
53.1%
Common 533
45.9%
Latin 11
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 50
 
8.1%
남 46
 
7.5%
구 38
 
6.2%
로 33
 
5.3%
시 33
 
5.3%
호 33
 
5.3%
당 23
 
3.7%
분 22
 
3.6%
동 21
 
3.4%
번 20
 
3.2%
Other values (77) 298
48.3%
Common
ValueCountFrequency (%)
204
38.3%
1 49
 
9.2%
, 44
 
8.3%
0 41
 
7.7%
3 40
 
7.5%
2 26
 
4.9%
4 24
 
4.5%
5 22
 
4.1%
( 19
 
3.6%
) 19
 
3.6%
Other values (5) 45
 
8.4%
Latin
ValueCountFrequency (%)
B 4
36.4%
Z 2
18.2%
E 2
18.2%
C 1
 
9.1%
F 1
 
9.1%
A 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 617
53.1%
ASCII 544
46.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
204
37.5%
1 49
 
9.0%
, 44
 
8.1%
0 41
 
7.5%
3 40
 
7.4%
2 26
 
4.8%
4 24
 
4.4%
5 22
 
4.0%
( 19
 
3.5%
) 19
 
3.5%
Other values (11) 56
 
10.3%
Hangul
ValueCountFrequency (%)
성 50
 
8.1%
남 46
 
7.5%
구 38
 
6.2%
로 33
 
5.3%
시 33
 
5.3%
호 33
 
5.3%
당 23
 
3.7%
분 22
 
3.6%
동 21
 
3.4%
번 20
 
3.2%
Other values (77) 298
48.3%

전화번호
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T23:12:19.008343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.878788
Min length9

Characters and Unicode

Total characters392
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row031-730-2995
2nd row031-778-8038
3rd row031-778-6617
4th row031-759-1103
5th row031-758-3519
ValueCountFrequency (%)
031-730-2995 1
 
3.0%
031-732-8338 1
 
3.0%
031-714-4555 1
 
3.0%
1899-3568 1
 
3.0%
031-713-3575 1
 
3.0%
031-701-1673 1
 
3.0%
031-701-4645 1
 
3.0%
031-767-7325 1
 
3.0%
070-4855-0270 1
 
3.0%
031-602-6922 1
 
3.0%
Other values (23) 23
69.7%
2023-12-12T23:12:19.426851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 64
16.3%
0 52
13.3%
3 52
13.3%
1 52
13.3%
7 45
11.5%
5 39
9.9%
6 22
 
5.6%
9 21
 
5.4%
2 20
 
5.1%
8 16
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 328
83.7%
Dash Punctuation 64
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 52
15.9%
3 52
15.9%
1 52
15.9%
7 45
13.7%
5 39
11.9%
6 22
6.7%
9 21
6.4%
2 20
 
6.1%
8 16
 
4.9%
4 9
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 392
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 64
16.3%
0 52
13.3%
3 52
13.3%
1 52
13.3%
7 45
11.5%
5 39
9.9%
6 22
 
5.6%
9 21
 
5.4%
2 20
 
5.1%
8 16
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 392
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 64
16.3%
0 52
13.3%
3 52
13.3%
1 52
13.3%
7 45
11.5%
5 39
9.9%
6 22
 
5.6%
9 21
 
5.4%
2 20
 
5.1%
8 16
 
4.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-06-22
33 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-22
2nd row2023-06-22
3rd row2023-06-22
4th row2023-06-22
5th row2023-06-22

Common Values

ValueCountFrequency (%)
2023-06-22 33
100.0%

Length

2023-12-12T23:12:19.587624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:12:19.718395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-22 33
100.0%

Correlations

2023-12-12T23:12:19.785879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분기관명주소전화번호
구분1.0001.0001.0001.000
기관명1.0001.0001.0001.000
주소1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2023-12-12T23:12:17.105151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:12:17.220965image/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

구분기관명주소전화번호데이터기준일자
0수정구산모맘사랑경기도 성남시 수정구 산성대로 331, 431호(신흥동, 한신프라자)031-730-29952023-06-22
1수정구산모피아 성남분당직영지사경기도 성남시 수정구 산성대로 311, 3층 306호031-778-80382023-06-22
2수정구(성남지점)해피케어경기도 성남시 수정구 수정로153번길 13, B03호(태평동)031-778-66172023-06-22
3수정구키움 맘 케어성남시 수정구 산성대로 63번길 7, 301호031-759-11032023-06-22
4중원구산모도우미119성남시 중원구 성남대로1130번길 11, 201호 (성남동)031-758-35192023-06-22
5중원구닥터맘&닥터베베성남시 중원구 원터로105번길 36, 302호 (성남동)031-752-52282023-06-22
6중원구(A+)봄빛베스트 산후도우미성남시 중원구 제일로43번길 8, 205호 (성남동)031-755-35752023-06-22
7중원구㈜아이미래로 성남지사성남시 중원구 산성대로 190-5, 201호 (성남동, 하우스리움)031-757-59922023-06-22
8중원구이레아이맘 성남분당지사성남시 중원구 자혜로17번길 16, 상가동 214호 (은행동)031-707-92152023-06-22
9중원구친정맘성남시 중원구 둔촌대로 108, 2층 203호(하대원동)031-605-15152023-06-22
구분기관명주소전화번호데이터기준일자
23분당구(성남분당)다산케어센터경기도 성남시 분당구 서현로 210번길 1, 보람코아빌딩 405호031-765-05562023-06-22
24분당구산모케어성남경기도 성남시 분당구 서현로 210번길 1, 보람코아빌딩 405-1호031-602-69222023-06-22
25분당구가온보건케어(성남지사)경기도 성남시 분당구 성남대로 43번길10, 하나EZ타워 3층 309호(C-6)070-4855-02702023-06-22
26분당구(A+감동) 맘스매니저 성남지사경기도 성남시 분당구 성남대로43번길 10, 하나EZ타워 3층 309호(F-119)031-767-73252023-06-22
27분당구(성남분당지사)엔젤스맘경기도 성남시 분당구 황새울로 335번길 10, 5층 582호031-701-46452023-06-22
28분당구예쓰(YESS)맘 산후도우미성남시 분당구 황새울로 335번길 8, 4층 428호031-701-16732023-06-22
29분당구사임당 산후도우미성남시 분당구 황새울로 335번길 10, 5층 525A호031-713-35752023-06-22
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