Overview

Dataset statistics

Number of variables9
Number of observations21
Missing cells1
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory81.3 B

Variable types

Text4
Categorical2
Numeric3

Dataset

Description인천광역시 서구 산모신생아건강관리지원사업 현황 (기관명, 유형, 기관면적, 주소, 이용자수, 제공 인력수, 대표자명, 전화번호) 입니다.
URLhttps://www.data.go.kr/data/15063638/fileData.do

Alerts

유형 has constant value ""Constant
데이터기준일자 has constant value ""Constant
기관면적(제곱미터) is highly overall correlated with 이용자수High correlation
이용자수 is highly overall correlated with 기관면적(제곱미터) and 1 other fieldsHigh correlation
제공 인력수 is highly overall correlated with 이용자수High correlation
전화번호 has 1 (4.8%) missing valuesMissing
기관명 has unique valuesUnique
주소 has unique valuesUnique
대표자명 has unique valuesUnique
이용자수 has 2 (9.5%) zerosZeros
제공 인력수 has 1 (4.8%) zerosZeros

Reproduction

Analysis started2023-12-12 01:36:19.291830
Analysis finished2023-12-12 01:36:21.214014
Duration1.92 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T10:36:21.415419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length12
Mean length9.6190476
Min length3

Characters and Unicode

Total characters202
Distinct characters68
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

Unique21 ?
Unique (%)100.0%

Sample

1st row( A+ )(검단서구)조은맘 산후도우미
2nd row((A))그레이스맘케어
3rd row((A))인천 아이미래로
4th row((A))해피케어인천서부지사
5th row((A+))굿아이맘케어
ValueCountFrequency (%)
산후도우미 2
 
6.5%
a 2
 
6.5%
1
 
3.2%
닥터맘(서인천점 1
 
3.2%
참사랑어머니회 1
 
3.2%
인천 1
 
3.2%
엄마랑아기사랑 1
 
3.2%
슈퍼맘 1
 
3.2%
산모피아 1
 
3.2%
사임당산후도우미 1
 
3.2%
Other values (19) 19
61.3%
2023-12-12T10:36:21.914732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 17
 
8.4%
) 17
 
8.4%
맘 10
 
5.0%
10
 
5.0%
천 7
 
3.5%
어 7
 
3.5%
인 7
 
3.5%
A 7
 
3.5%
서 6
 
3.0%
이 6
 
3.0%
Other values (58) 108
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 148
73.3%
Open Punctuation 17
 
8.4%
Close Punctuation 17
 
8.4%
Space Separator 10
 
5.0%
Uppercase Letter 7
 
3.5%
Math Symbol 3
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
맘 10
 
6.8%
천 7
 
4.7%
어 7
 
4.7%
인 7
 
4.7%
서 6
 
4.1%
이 6
 
4.1%
아 6
 
4.1%
산 6
 
4.1%
케 6
 
4.1%
후 5
 
3.4%
Other values (53) 82
55.4%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 7
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 148
73.3%
Common 47
 
23.3%
Latin 7
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
맘 10
 
6.8%
천 7
 
4.7%
어 7
 
4.7%
인 7
 
4.7%
서 6
 
4.1%
이 6
 
4.1%
아 6
 
4.1%
산 6
 
4.1%
케 6
 
4.1%
후 5
 
3.4%
Other values (53) 82
55.4%
Common
ValueCountFrequency (%)
( 17
36.2%
) 17
36.2%
10
21.3%
+ 3
 
6.4%
Latin
ValueCountFrequency (%)
A 7
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 148
73.3%
ASCII 54
 
26.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 17
31.5%
) 17
31.5%
10
18.5%
A 7
13.0%
+ 3
 
5.6%
Hangul
ValueCountFrequency (%)
맘 10
 
6.8%
천 7
 
4.7%
어 7
 
4.7%
인 7
 
4.7%
서 6
 
4.1%
이 6
 
4.1%
아 6
 
4.1%
산 6
 
4.1%
케 6
 
4.1%
후 5
 
3.4%
Other values (53) 82
55.4%

유형
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
영리
21 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영리 21
100.0%

Length

2023-12-12T10:36:22.078588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:36:22.221331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영리 21
100.0%

기관면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.859524
Minimum3
Maximum298
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T10:36:22.343998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q110
median20
Q336
95-th percentile133
Maximum298
Range295
Interquartile range (IQR)26

Descriptive statistics

Standard deviation65.729631
Coefficient of variation (CV)1.5702432
Kurtosis12.361527
Mean41.859524
Median Absolute Deviation (MAD)13
Skewness3.3539006
Sum879.05
Variance4320.3844
MonotonicityNot monotonic
2023-12-12T10:36:22.480612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
20.0 4
19.0%
15.0 2
9.5%
3.0 2
9.5%
10.0 2
9.5%
7.0 2
9.5%
70.0 1
 
4.8%
298.0 1
 
4.8%
46.0 1
 
4.8%
33.05 1
 
4.8%
28.0 1
 
4.8%
Other values (4) 4
19.0%
ValueCountFrequency (%)
3.0 2
9.5%
7.0 2
9.5%
10.0 2
9.5%
15.0 2
9.5%
20.0 4
19.0%
26.0 1
 
4.8%
28.0 1
 
4.8%
33.05 1
 
4.8%
36.0 1
 
4.8%
46.0 1
 
4.8%
ValueCountFrequency (%)
298.0 1
 
4.8%
133.0 1
 
4.8%
70.0 1
 
4.8%
59.0 1
 
4.8%
46.0 1
 
4.8%
36.0 1
 
4.8%
33.05 1
 
4.8%
28.0 1
 
4.8%
26.0 1
 
4.8%
20.0 4
19.0%

주소
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T10:36:22.798936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length33
Mean length31.333333
Min length19

Characters and Unicode

Total characters658
Distinct characters76
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 대평로 4, 303호 (연희동)
2nd row인천광역시 서구 간촌로 5, 202호 (연희동)
3rd row인천광역시 서구 완정로 179, 6층 601-6호
4th row인천광역시 서구 원당대로 669, 5층 501호 (마전동, (마전동, 흥겨운마당))
5th row인천광역시 서구 원당대로 848, 709호 (당하동)
ValueCountFrequency (%)
인천광역시 21
 
16.0%
서구 21
 
16.0%
완정로 4
 
3.1%
원당대로 4
 
3.1%
6층 4
 
3.1%
마전동 3
 
2.3%
연희동 3
 
2.3%
179 2
 
1.5%
가좌동 2
 
1.5%
심곡동 2
 
1.5%
Other values (62) 65
49.6%
2023-12-12T10:36:23.242580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
117
 
17.8%
1 26
 
4.0%
, 26
 
4.0%
광 22
 
3.3%
서 22
 
3.3%
인 21
 
3.2%
역 21
 
3.2%
시 21
 
3.2%
구 21
 
3.2%
로 21
 
3.2%
Other values (66) 340
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 341
51.8%
Decimal Number 139
21.1%
Space Separator 117
 
17.8%
Other Punctuation 26
 
4.0%
Open Punctuation 15
 
2.3%
Close Punctuation 14
 
2.1%
Dash Punctuation 6
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 22
 
6.5%
서 22
 
6.5%
인 21
 
6.2%
역 21
 
6.2%
시 21
 
6.2%
구 21
 
6.2%
로 21
 
6.2%
천 21
 
6.2%
호 19
 
5.6%
동 15
 
4.4%
Other values (51) 137
40.2%
Decimal Number
ValueCountFrequency (%)
1 26
18.7%
6 20
14.4%
0 18
12.9%
2 15
10.8%
7 14
10.1%
5 11
7.9%
8 10
 
7.2%
3 10
 
7.2%
4 8
 
5.8%
9 7
 
5.0%
Space Separator
ValueCountFrequency (%)
117
100.0%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 341
51.8%
Common 317
48.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 22
 
6.5%
서 22
 
6.5%
인 21
 
6.2%
역 21
 
6.2%
시 21
 
6.2%
구 21
 
6.2%
로 21
 
6.2%
천 21
 
6.2%
호 19
 
5.6%
동 15
 
4.4%
Other values (51) 137
40.2%
Common
ValueCountFrequency (%)
117
36.9%
1 26
 
8.2%
, 26
 
8.2%
6 20
 
6.3%
0 18
 
5.7%
2 15
 
4.7%
( 15
 
4.7%
) 14
 
4.4%
7 14
 
4.4%
5 11
 
3.5%
Other values (5) 41
 
12.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 341
51.8%
ASCII 317
48.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
117
36.9%
1 26
 
8.2%
, 26
 
8.2%
6 20
 
6.3%
0 18
 
5.7%
2 15
 
4.7%
( 15
 
4.7%
) 14
 
4.4%
7 14
 
4.4%
5 11
 
3.5%
Other values (5) 41
 
12.9%
Hangul
ValueCountFrequency (%)
광 22
 
6.5%
서 22
 
6.5%
인 21
 
6.2%
역 21
 
6.2%
시 21
 
6.2%
구 21
 
6.2%
로 21
 
6.2%
천 21
 
6.2%
호 19
 
5.6%
동 15
 
4.4%
Other values (51) 137
40.2%

이용자수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean374.2381
Minimum0
Maximum2068
Zeros2
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T10:36:23.403845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q118
median177
Q3463
95-th percentile1671
Maximum2068
Range2068
Interquartile range (IQR)445

Descriptive statistics

Standard deviation563.82603
Coefficient of variation (CV)1.5065971
Kurtosis4.0683516
Mean374.2381
Median Absolute Deviation (MAD)174
Skewness2.0959119
Sum7859
Variance317899.79
MonotonicityNot monotonic
2023-12-12T10:36:23.548397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 2
 
9.5%
383 1
 
4.8%
35 1
 
4.8%
87 1
 
4.8%
3 1
 
4.8%
28 1
 
4.8%
270 1
 
4.8%
18 1
 
4.8%
230 1
 
4.8%
32 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
0 2
9.5%
2 1
4.8%
3 1
4.8%
11 1
4.8%
18 1
4.8%
28 1
4.8%
32 1
4.8%
35 1
4.8%
87 1
4.8%
177 1
4.8%
ValueCountFrequency (%)
2068 1
4.8%
1671 1
4.8%
950 1
4.8%
636 1
4.8%
595 1
4.8%
463 1
4.8%
383 1
4.8%
270 1
4.8%
230 1
4.8%
200 1
4.8%

제공 인력수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct18
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.47619
Minimum0
Maximum79
Zeros1
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T10:36:23.681842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q113
median18
Q332
95-th percentile62
Maximum79
Range79
Interquartile range (IQR)19

Descriptive statistics

Standard deviation19.208381
Coefficient of variation (CV)0.75397384
Kurtosis2.0800706
Mean25.47619
Median Absolute Deviation (MAD)7
Skewness1.474004
Sum535
Variance368.9619
MonotonicityNot monotonic
2023-12-12T10:36:23.839646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
11 3
 
14.3%
16 2
 
9.5%
32 1
 
4.8%
31 1
 
4.8%
24 1
 
4.8%
22 1
 
4.8%
14 1
 
4.8%
13 1
 
4.8%
27 1
 
4.8%
18 1
 
4.8%
Other values (8) 8
38.1%
ValueCountFrequency (%)
0 1
 
4.8%
10 1
 
4.8%
11 3
14.3%
13 1
 
4.8%
14 1
 
4.8%
15 1
 
4.8%
16 2
9.5%
18 1
 
4.8%
22 1
 
4.8%
24 1
 
4.8%
ValueCountFrequency (%)
79 1
4.8%
62 1
4.8%
53 1
4.8%
36 1
4.8%
34 1
4.8%
32 1
4.8%
31 1
4.8%
27 1
4.8%
24 1
4.8%
22 1
4.8%

대표자명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T10:36:24.063709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters63
Distinct characters34
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row김영화
2nd row오정숙
3rd row김정인
4th row김수영
5th row김진희
ValueCountFrequency (%)
김영화 1
 
4.8%
허정인 1
 
4.8%
정정희 1
 
4.8%
이보옥 1
 
4.8%
권세진 1
 
4.8%
손희숙 1
 
4.8%
김향오 1
 
4.8%
박수정 1
 
4.8%
전길란 1
 
4.8%
이미정 1
 
4.8%
Other values (11) 11
52.4%
2023-12-12T10:36:24.464521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 7
 
11.1%
김 6
 
9.5%
희 4
 
6.3%
박 4
 
6.3%
숙 3
 
4.8%
인 3
 
4.8%
이 3
 
4.8%
란 2
 
3.2%
영 2
 
3.2%
미 2
 
3.2%
Other values (24) 27
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 7
 
11.1%
김 6
 
9.5%
희 4
 
6.3%
박 4
 
6.3%
숙 3
 
4.8%
인 3
 
4.8%
이 3
 
4.8%
란 2
 
3.2%
영 2
 
3.2%
미 2
 
3.2%
Other values (24) 27
42.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 7
 
11.1%
김 6
 
9.5%
희 4
 
6.3%
박 4
 
6.3%
숙 3
 
4.8%
인 3
 
4.8%
이 3
 
4.8%
란 2
 
3.2%
영 2
 
3.2%
미 2
 
3.2%
Other values (24) 27
42.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 7
 
11.1%
김 6
 
9.5%
희 4
 
6.3%
박 4
 
6.3%
숙 3
 
4.8%
인 3
 
4.8%
이 3
 
4.8%
란 2
 
3.2%
영 2
 
3.2%
미 2
 
3.2%
Other values (24) 27
42.9%

전화번호
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing1
Missing (%)4.8%
Memory size300.0 B
2023-12-12T10:36:24.752854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.25
Min length12

Characters and Unicode

Total characters245
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

Unique20 ?
Unique (%)100.0%

Sample

1st row032-568-3554
2nd row032-567-3571
3rd row032-327-6992
4th row032-547-3579
5th row032-566-8338
ValueCountFrequency (%)
032-568-3554 1
 
5.0%
032-567-3571 1
 
5.0%
032-582-5826 1
 
5.0%
070-7785-9313 1
 
5.0%
032-715-7972 1
 
5.0%
032-577-3575 1
 
5.0%
032-565-3710 1
 
5.0%
032-218-5959 1
 
5.0%
032-566-5855 1
 
5.0%
032-299-0901 1
 
5.0%
Other values (10) 10
50.0%
2023-12-12T10:36:25.283458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 40
16.3%
3 34
13.9%
5 33
13.5%
2 32
13.1%
0 28
11.4%
7 17
6.9%
6 16
 
6.5%
8 14
 
5.7%
1 11
 
4.5%
9 11
 
4.5%
Other values (2) 9
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 201
82.0%
Dash Punctuation 40
 
16.3%
Space Separator 4
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 34
16.9%
5 33
16.4%
2 32
15.9%
0 28
13.9%
7 17
8.5%
6 16
8.0%
8 14
7.0%
1 11
 
5.5%
9 11
 
5.5%
4 5
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 245
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 40
16.3%
3 34
13.9%
5 33
13.5%
2 32
13.1%
0 28
11.4%
7 17
6.9%
6 16
 
6.5%
8 14
 
5.7%
1 11
 
4.5%
9 11
 
4.5%
Other values (2) 9
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 245
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 40
16.3%
3 34
13.9%
5 33
13.5%
2 32
13.1%
0 28
11.4%
7 17
6.9%
6 16
 
6.5%
8 14
 
5.7%
1 11
 
4.5%
9 11
 
4.5%
Other values (2) 9
 
3.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-07-31
21 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-31
2nd row2023-07-31
3rd row2023-07-31
4th row2023-07-31
5th row2023-07-31

Common Values

ValueCountFrequency (%)
2023-07-31 21
100.0%

Length

2023-12-12T10:36:25.539726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:36:25.695601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-31 21
100.0%

Interactions

2023-12-12T10:36:20.459203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:36:19.694730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:36:20.088606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:36:20.598756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:36:19.825918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:36:20.201613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:36:20.722425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:36:19.939260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:36:20.310905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:36:25.791114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명기관면적(제곱미터)주소이용자수제공 인력수대표자명전화번호
기관명1.0001.0001.0001.0001.0001.0001.000
기관면적(제곱미터)1.0001.0001.0000.7880.6371.0001.000
주소1.0001.0001.0001.0001.0001.0001.000
이용자수1.0000.7881.0001.0000.7971.0001.000
제공 인력수1.0000.6371.0000.7971.0001.0001.000
대표자명1.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.000
2023-12-12T10:36:25.948123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관면적(제곱미터)이용자수제공 인력수
기관면적(제곱미터)1.0000.6350.431
이용자수0.6351.0000.841
제공 인력수0.4310.8411.000

Missing values

2023-12-12T10:36:20.904401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:36:21.132115image/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

기관명유형기관면적(제곱미터)주소이용자수제공 인력수대표자명전화번호데이터기준일자
0( A+ )(검단서구)조은맘 산후도우미영리15.0인천광역시 서구 대평로 4, 303호 (연희동)38332김영화032-568-35542023-07-31
1((A))그레이스맘케어영리3.0인천광역시 서구 간촌로 5, 202호 (연희동)210오정숙032-567-35712023-07-31
2((A))인천 아이미래로영리10.0인천광역시 서구 완정로 179, 6층 601-6호016김정인032-327-69922023-07-31
3((A))해피케어인천서부지사영리70.0인천광역시 서구 원당대로 669, 5층 501호 (마전동, (마전동, 흥겨운마당))167136김수영032-547-35792023-07-31
4((A+))굿아이맘케어영리20.0인천광역시 서구 원당대로 848, 709호 (당하동)63653김진희032-566-83382023-07-31
5((A+))행복맘스영리15.0인천광역시 서구 완정로 19, 305호 (마전동, 검단무광프라자)1115이소율032-439-55502023-07-31
6((주))선우케어영리298.0인천광역시 서구 청라에메랄드로102번길 8-12, 7층 706호206879박선우032-582-35822023-07-31
7(A) 마터케어 서인천영리46.0인천광역시 서구 원당대로 843, 602호 (원당동)20011박동주032-541-80302023-07-31
8(인천)아가별산후도우미영리33.05인천광역시 서구 서곶로301번길 16, 6층 610-1호 (심곡동, 태영프라자)00김여울032-661-36272023-07-31
9계양서구강화이레아이맘영리28.0인천광역시 서구 청라커낼로223번길 6, 102호 (청라동)59562홍인희032-562-67802023-07-31
기관명유형기관면적(제곱미터)주소이용자수제공 인력수대표자명전화번호데이터기준일자
11닥터맘(서인천점)영리36.0인천광역시 서구 이음대로 384, 723호17731허정인032-299-09012023-07-31
12드림가영리20.0인천광역시 서구 원당대로 865, 505-17호3518이미정<NA>2023-07-31
13맘앤베이비영리59.0인천광역시 서구 청라에메랄드로163번길 18, 102호 (연희동)46327전길란032-566-58552023-07-31
14맘편한 산후케어영리7.0인천광역시 서구 길주로 79, 8층 8541호3213박수정032-218-59592023-07-31
15베스트맘영리133.0인천광역시 서구 청라커낼로 260번길 7-15 4층23014김향오032-565-37102023-07-31
16사임당산후도우미영리10.0인천광역시 서구 원적로47번길 6, 127호 (가좌동)1811손희숙032-577-35752023-07-31
17산모피아영리26.0인천광역시 서구 심곡로56번길 2, 411호 (심곡동, 삼원빌딩27022권세진032-715-79722023-07-31
18슈퍼맘영리3.0인천광역시 서구 완정로179, 6층2816이보옥070-7785-93132023-07-31
19엄마랑아기사랑 인천영리7.0인천광역시 서구 완정로 179, 6층 601호 (왕길동)311정정희032-582-58262023-07-31
20참사랑어머니회 서인천점영리20.0인천광역시 서구 완정로 163, 1002-5호 (왕길동)8724최애란032-566-81822023-07-31