Overview

Dataset statistics

Number of variables8
Number of observations43
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory70.1 B

Variable types

Numeric3
Categorical1
Text4

Dataset

Description대전광역시 중구 아동복지시설 (연번, 시설종류, 시설명, 소재지 도로명주소, 우편번호, 정원, 대표자, 시설장, 전화번호, 팩스번호) 현황정보를 제공합니다.
URLhttps://www.data.go.kr/data/3033883/fileData.do

Alerts

연번 is highly overall correlated with 시설종류High correlation
입소정원 is highly overall correlated with 시설종류High correlation
시설종류 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
시설종류 is highly imbalanced (56.7%)Imbalance
연번 has unique valuesUnique
시설명 has unique valuesUnique
소재지 도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique
팩스번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:42:09.097184
Analysis finished2023-12-12 02:42:10.537128
Duration1.44 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22
Minimum1
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T11:42:10.631356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.1
Q111.5
median22
Q332.5
95-th percentile40.9
Maximum43
Range42
Interquartile range (IQR)21

Descriptive statistics

Standard deviation12.556539
Coefficient of variation (CV)0.57075176
Kurtosis-1.2
Mean22
Median Absolute Deviation (MAD)11
Skewness0
Sum946
Variance157.66667
MonotonicityStrictly increasing
2023-12-12T11:42:10.780016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
1 1
 
2.3%
2 1
 
2.3%
25 1
 
2.3%
26 1
 
2.3%
27 1
 
2.3%
28 1
 
2.3%
29 1
 
2.3%
30 1
 
2.3%
31 1
 
2.3%
32 1
 
2.3%
Other values (33) 33
76.7%
ValueCountFrequency (%)
1 1
2.3%
2 1
2.3%
3 1
2.3%
4 1
2.3%
5 1
2.3%
6 1
2.3%
7 1
2.3%
8 1
2.3%
9 1
2.3%
10 1
2.3%
ValueCountFrequency (%)
43 1
2.3%
42 1
2.3%
41 1
2.3%
40 1
2.3%
39 1
2.3%
38 1
2.3%
37 1
2.3%
36 1
2.3%
35 1
2.3%
34 1
2.3%

시설종류
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
지역아동센터
36 
공동생활가정
4 
다함께돌봄센터
 
2
아동양육시설
 
1

Length

Max length7
Median length6
Mean length6.0465116
Min length6

Unique

Unique1 ?
Unique (%)2.3%

Sample

1st row아동양육시설
2nd row공동생활가정
3rd row공동생활가정
4th row공동생활가정
5th row공동생활가정

Common Values

ValueCountFrequency (%)
지역아동센터 36
83.7%
공동생활가정 4
 
9.3%
다함께돌봄센터 2
 
4.7%
아동양육시설 1
 
2.3%

Length

2023-12-12T11:42:10.913805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:42:11.027909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지역아동센터 36
83.7%
공동생활가정 4
 
9.3%
다함께돌봄센터 2
 
4.7%
아동양육시설 1
 
2.3%

시설명
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-12T11:42:11.276242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length19
Mean length9.7906977
Min length3

Characters and Unicode

Total characters421
Distinct characters104
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)100.0%

Sample

1st row늘사랑아동센터
2nd row대전해피홈
3rd row푸마네
4th row행복한우리집
5th row즐겁고행복한집
ValueCountFrequency (%)
다함께돌봄센터 2
 
3.8%
중구 2
 
3.8%
대전 2
 
3.8%
늘사랑아동센터 1
 
1.9%
사랑제일지역아동센터 1
 
1.9%
산성지역아동센터 1
 
1.9%
새마음지역아동센터 1
 
1.9%
새미래지역아동센터 1
 
1.9%
선화지역아동센터 1
 
1.9%
성락지역아동센터 1
 
1.9%
Other values (39) 39
75.0%
2023-12-12T11:42:11.656877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 39
 
9.3%
센 39
 
9.3%
터 39
 
9.3%
지 38
 
9.0%
아 38
 
9.0%
역 36
 
8.6%
9
 
2.1%
복 6
 
1.4%
한 5
 
1.2%
전 5
 
1.2%
Other values (94) 167
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 397
94.3%
Space Separator 9
 
2.1%
Lowercase Letter 7
 
1.7%
Decimal Number 6
 
1.4%
Uppercase Letter 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 39
 
9.8%
센 39
 
9.8%
터 39
 
9.8%
지 38
 
9.6%
아 38
 
9.6%
역 36
 
9.1%
복 6
 
1.5%
한 5
 
1.3%
전 5
 
1.3%
꿈 5
 
1.3%
Other values (82) 147
37.0%
Lowercase Letter
ValueCountFrequency (%)
p 2
28.6%
e 1
14.3%
n 1
14.3%
o 1
14.3%
y 1
14.3%
a 1
14.3%
Decimal Number
ValueCountFrequency (%)
1 4
66.7%
8 1
 
16.7%
3 1
 
16.7%
Uppercase Letter
ValueCountFrequency (%)
Z 1
50.0%
H 1
50.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 397
94.3%
Common 15
 
3.6%
Latin 9
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 39
 
9.8%
센 39
 
9.8%
터 39
 
9.8%
지 38
 
9.6%
아 38
 
9.6%
역 36
 
9.1%
복 6
 
1.5%
한 5
 
1.3%
전 5
 
1.3%
꿈 5
 
1.3%
Other values (82) 147
37.0%
Latin
ValueCountFrequency (%)
p 2
22.2%
e 1
11.1%
n 1
11.1%
o 1
11.1%
Z 1
11.1%
y 1
11.1%
a 1
11.1%
H 1
11.1%
Common
ValueCountFrequency (%)
9
60.0%
1 4
26.7%
8 1
 
6.7%
3 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 397
94.3%
ASCII 24
 
5.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 39
 
9.8%
센 39
 
9.8%
터 39
 
9.8%
지 38
 
9.6%
아 38
 
9.6%
역 36
 
9.1%
복 6
 
1.5%
한 5
 
1.3%
전 5
 
1.3%
꿈 5
 
1.3%
Other values (82) 147
37.0%
ASCII
ValueCountFrequency (%)
9
37.5%
1 4
16.7%
p 2
 
8.3%
e 1
 
4.2%
n 1
 
4.2%
o 1
 
4.2%
Z 1
 
4.2%
y 1
 
4.2%
a 1
 
4.2%
H 1
 
4.2%
Other values (2) 2
 
8.3%

소재지 도로명주소
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-12T11:42:11.924182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length32
Mean length29.372093
Min length23

Characters and Unicode

Total characters1263
Distinct characters93
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

Unique43 ?
Unique (%)100.0%

Sample

1st row대전광역시 중구 학고개로 34번길 33(옥계동)
2nd row대전광역시 중구 대종로593번길 38-6(선화동)
3rd row대전광역시 중구 계백로1603번길 50-8, 4층 401호(유천동, 정윤하우스)
4th row대전광역시 중구 안영로22번길 14, 401호(안영동, 신도빌)
5th row대전광역시 중구 대전천서로 401, 401호(대흥동, 푸르내아파트)
ValueCountFrequency (%)
대전광역시 43
 
18.8%
중구 43
 
18.8%
대둔산로 4
 
1.7%
2층(문화동 3
 
1.3%
1층(용두동 2
 
0.9%
3층(산성동 2
 
0.9%
50 2
 
0.9%
1층(호동 2
 
0.9%
선화로43번길 2
 
0.9%
현대아파트 2
 
0.9%
Other values (120) 124
54.1%
2023-12-12T11:42:12.324728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
186
 
14.7%
대 60
 
4.8%
1 53
 
4.2%
, 51
 
4.0%
동 48
 
3.8%
중 46
 
3.6%
전 44
 
3.5%
( 43
 
3.4%
광 43
 
3.4%
역 43
 
3.4%
Other values (83) 646
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 704
55.7%
Decimal Number 228
 
18.1%
Space Separator 186
 
14.7%
Other Punctuation 51
 
4.0%
Open Punctuation 43
 
3.4%
Close Punctuation 43
 
3.4%
Dash Punctuation 7
 
0.6%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 60
 
8.5%
동 48
 
6.8%
중 46
 
6.5%
전 44
 
6.2%
광 43
 
6.1%
역 43
 
6.1%
시 43
 
6.1%
구 43
 
6.1%
로 43
 
6.1%
층 37
 
5.3%
Other values (67) 254
36.1%
Decimal Number
ValueCountFrequency (%)
1 53
23.2%
3 37
16.2%
2 33
14.5%
4 25
11.0%
0 22
9.6%
5 19
 
8.3%
7 17
 
7.5%
9 8
 
3.5%
8 8
 
3.5%
6 6
 
2.6%
Space Separator
ValueCountFrequency (%)
186
100.0%
Other Punctuation
ValueCountFrequency (%)
, 51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 704
55.7%
Common 558
44.2%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 60
 
8.5%
동 48
 
6.8%
중 46
 
6.5%
전 44
 
6.2%
광 43
 
6.1%
역 43
 
6.1%
시 43
 
6.1%
구 43
 
6.1%
로 43
 
6.1%
층 37
 
5.3%
Other values (67) 254
36.1%
Common
ValueCountFrequency (%)
186
33.3%
1 53
 
9.5%
, 51
 
9.1%
( 43
 
7.7%
) 43
 
7.7%
3 37
 
6.6%
2 33
 
5.9%
4 25
 
4.5%
0 22
 
3.9%
5 19
 
3.4%
Other values (5) 46
 
8.2%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 704
55.7%
ASCII 559
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
186
33.3%
1 53
 
9.5%
, 51
 
9.1%
( 43
 
7.7%
) 43
 
7.7%
3 37
 
6.6%
2 33
 
5.9%
4 25
 
4.5%
0 22
 
3.9%
5 19
 
3.4%
Other values (6) 47
 
8.4%
Hangul
ValueCountFrequency (%)
대 60
 
8.5%
동 48
 
6.8%
중 46
 
6.5%
전 44
 
6.2%
광 43
 
6.1%
역 43
 
6.1%
시 43
 
6.1%
구 43
 
6.1%
로 43
 
6.1%
층 37
 
5.3%
Other values (67) 254
36.1%

우편번호
Real number (ℝ)

Distinct38
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34961.233
Minimum34803
Maximum35086
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T11:42:12.458329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34803
5-th percentile34816
Q134871
median34988
Q335060
95-th percentile35081.9
Maximum35086
Range283
Interquartile range (IQR)189

Descriptive statistics

Standard deviation95.89226
Coefficient of variation (CV)0.0027428169
Kurtosis-1.4676795
Mean34961.233
Median Absolute Deviation (MAD)91
Skewness-0.15293463
Sum1503333
Variance9195.3256
MonotonicityNot monotonic
2023-12-12T11:42:12.574070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
35008 3
 
7.0%
35075 2
 
4.7%
35081 2
 
4.7%
34938 2
 
4.7%
35082 1
 
2.3%
35079 1
 
2.3%
34988 1
 
2.3%
34979 1
 
2.3%
34861 1
 
2.3%
34854 1
 
2.3%
Other values (28) 28
65.1%
ValueCountFrequency (%)
34803 1
2.3%
34808 1
2.3%
34815 1
2.3%
34825 1
2.3%
34831 1
2.3%
34843 1
2.3%
34849 1
2.3%
34854 1
2.3%
34857 1
2.3%
34860 1
2.3%
ValueCountFrequency (%)
35086 1
2.3%
35084 1
2.3%
35082 1
2.3%
35081 2
4.7%
35080 1
2.3%
35079 1
2.3%
35075 2
4.7%
35067 1
2.3%
35062 1
2.3%
35058 1
2.3%

입소정원
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.255814
Minimum7
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T11:42:12.675543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile7
Q119
median29
Q330.5
95-th percentile49
Maximum54
Range47
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation11.854461
Coefficient of variation (CV)0.43493329
Kurtosis-0.049518743
Mean27.255814
Median Absolute Deviation (MAD)10
Skewness0.44247329
Sum1172
Variance140.52824
MonotonicityNot monotonic
2023-12-12T11:42:12.792864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
19 13
30.2%
29 11
25.6%
7 4
 
9.3%
49 4
 
9.3%
39 2
 
4.7%
25 2
 
4.7%
54 1
 
2.3%
26 1
 
2.3%
45 1
 
2.3%
28 1
 
2.3%
Other values (3) 3
 
7.0%
ValueCountFrequency (%)
7 4
 
9.3%
19 13
30.2%
25 2
 
4.7%
26 1
 
2.3%
28 1
 
2.3%
29 11
25.6%
32 1
 
2.3%
33 1
 
2.3%
36 1
 
2.3%
39 2
 
4.7%
ValueCountFrequency (%)
54 1
 
2.3%
49 4
 
9.3%
45 1
 
2.3%
39 2
 
4.7%
36 1
 
2.3%
33 1
 
2.3%
32 1
 
2.3%
29 11
25.6%
28 1
 
2.3%
26 1
 
2.3%

전화번호
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-12T11:42:13.004635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.069767
Min length12

Characters and Unicode

Total characters519
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

Unique43 ?
Unique (%)100.0%

Sample

1st row042-634-0061
2nd row042-522-1191
3rd row070-8828-1592
4th row042-585-0191
5th row042-585-4298
ValueCountFrequency (%)
042-634-0061 1
 
2.3%
042-586-9904 1
 
2.3%
042-583-1766 1
 
2.3%
042-582-1020 1
 
2.3%
070-4247-7874 1
 
2.3%
042-335-0491 1
 
2.3%
042-335-1123 1
 
2.3%
042-222-7882 1
 
2.3%
042-586-5591 1
 
2.3%
042-537-5012 1
 
2.3%
Other values (33) 33
76.7%
2023-12-12T11:42:13.320156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 92
17.7%
- 86
16.6%
0 79
15.2%
4 65
12.5%
5 39
7.5%
8 37
7.1%
1 32
 
6.2%
7 27
 
5.2%
3 25
 
4.8%
9 22
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 433
83.4%
Dash Punctuation 86
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 92
21.2%
0 79
18.2%
4 65
15.0%
5 39
9.0%
8 37
8.5%
1 32
 
7.4%
7 27
 
6.2%
3 25
 
5.8%
9 22
 
5.1%
6 15
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 519
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 92
17.7%
- 86
16.6%
0 79
15.2%
4 65
12.5%
5 39
7.5%
8 37
7.1%
1 32
 
6.2%
7 27
 
5.2%
3 25
 
4.8%
9 22
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 519
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 92
17.7%
- 86
16.6%
0 79
15.2%
4 65
12.5%
5 39
7.5%
8 37
7.1%
1 32
 
6.2%
7 27
 
5.2%
3 25
 
4.8%
9 22
 
4.2%

팩스번호
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-12T11:42:13.539688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.046512
Min length12

Characters and Unicode

Total characters518
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

Unique43 ?
Unique (%)100.0%

Sample

1st row042-627-5126
2nd row042-221-1198
3rd row070-8828-1591
4th row042-367-0161
5th row042-585-4298
ValueCountFrequency (%)
042-627-5126 1
 
2.3%
042-586-9905 1
 
2.3%
042-585-1766 1
 
2.3%
042-583-4890 1
 
2.3%
042-586-7878 1
 
2.3%
042-223-0599 1
 
2.3%
042-367-5331 1
 
2.3%
042-222-7883 1
 
2.3%
042-586-5591 1
 
2.3%
042-534-5012 1
 
2.3%
Other values (33) 33
76.7%
2023-12-12T11:42:13.870914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 86
16.6%
2 80
15.4%
0 68
13.1%
4 54
10.4%
5 51
9.8%
8 39
7.5%
3 32
 
6.2%
7 29
 
5.6%
1 29
 
5.6%
6 25
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
83.4%
Dash Punctuation 86
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 80
18.5%
0 68
15.7%
4 54
12.5%
5 51
11.8%
8 39
9.0%
3 32
 
7.4%
7 29
 
6.7%
1 29
 
6.7%
6 25
 
5.8%
9 25
 
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 518
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 86
16.6%
2 80
15.4%
0 68
13.1%
4 54
10.4%
5 51
9.8%
8 39
7.5%
3 32
 
6.2%
7 29
 
5.6%
1 29
 
5.6%
6 25
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 518
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 86
16.6%
2 80
15.4%
0 68
13.1%
4 54
10.4%
5 51
9.8%
8 39
7.5%
3 32
 
6.2%
7 29
 
5.6%
1 29
 
5.6%
6 25
 
4.8%

Interactions

2023-12-12T11:42:09.973820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:42:09.450589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:42:09.682534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:42:10.137124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:42:09.518503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:42:09.765673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:42:10.244874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:42:09.594655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:42:09.884576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:42:13.979475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설종류시설명소재지 도로명주소우편번호입소정원전화번호팩스번호
연번1.0000.7491.0001.0000.4890.6021.0001.000
시설종류0.7491.0001.0001.0000.0000.9911.0001.000
시설명1.0001.0001.0001.0001.0001.0001.0001.000
소재지 도로명주소1.0001.0001.0001.0001.0001.0001.0001.000
우편번호0.4890.0001.0001.0001.0000.3841.0001.000
입소정원0.6020.9911.0001.0000.3841.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.000
팩스번호1.0001.0001.0001.0001.0001.0001.0001.000
2023-12-12T11:42:14.384727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호입소정원시설종류
연번1.000-0.0710.3540.510
우편번호-0.0711.0000.1030.000
입소정원0.3540.1031.0000.822
시설종류0.5100.0000.8221.000

Missing values

2023-12-12T11:42:10.347815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:42:10.466668image/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

연번시설종류시설명소재지 도로명주소우편번호입소정원전화번호팩스번호
01아동양육시설늘사랑아동센터대전광역시 중구 학고개로 34번길 33(옥계동)3507554042-634-0061042-627-5126
12공동생활가정대전해피홈대전광역시 중구 대종로593번길 38-6(선화동)348437042-522-1191042-221-1198
23공동생활가정푸마네대전광역시 중구 계백로1603번길 50-8, 4층 401호(유천동, 정윤하우스)348977070-8828-1592070-8828-1591
34공동생활가정행복한우리집대전광역시 중구 안영로22번길 14, 401호(안영동, 신도빌)350847042-585-0191042-367-0161
45공동생활가정즐겁고행복한집대전광역시 중구 대전천서로 401, 401호(대흥동, 푸르내아파트)349297042-585-4298042-585-4298
56지역아동센터1318 Happy Zone 하늘세상지역아동센터대전광역시 중구 대둔산로 333, 3층 (사정동, 대흥빌딩)3508129042-584-1318042-585-1318
67지역아동센터가정지역아동센터대전광역시 중구 동서대로 1407, 2층(목동)3481539042-253-2982042-253-2984
78지역아동센터꿈꾸는아이들지역아동센터대전광역시 중구 대종로 712-1, 2층(중촌동)3480319042-257-8834042-367-0689
89지역아동센터꿈동산지역아동센터대전광역시 중구 대종로 560, 3층(선화동)3483126042-257-0091042-257-0091
910지역아동센터꿈비지역아동센터대전광역시 중구 계백로1615번길 34, 115동 102호(유천동, 현대아파트)3489939042-584-3733042-584-3734
연번시설종류시설명소재지 도로명주소우편번호입소정원전화번호팩스번호
3334지역아동센터예지지역아동센터대전광역시 중구 보문산로 30 , 3층(산성동)3508049042-582-1765042-581-1765
3435지역아동센터우리의꿈지역아동센터대전광역시 중구 수도산로 4, 2층(대흥동)3493825042-226-6009070-7844-6009
3536지역아동센터유천지역아동센터대전광역시 중구 문화로105번길 24, 1, 2층(유천동)3493828042-584-1424042-587-7942
3637지역아동센터중부지역아동센터대전광역시 중구 산성로57번길 57(산성동) 2층, 3층3501149042-581-4302042-586-9143
3738지역아동센터참따란지역아동센터대전광역시 중구 부용로41번길 50, 101동 B103호(부사동, 참좋은아파트)3505819042-221-3201042-221-3203
3839지역아동센터초록나무지역아동센터대전광역시 중구 계백로1571번길 38-22, 4층(유천동)3488733042-223-5024042-223-5023
3940지역아동센터태평지역아동센터대전광역시 중구 태평로 118, 202호(태평동, 노성빌딩)3488129042-524-3790042-525-3790
4041지역아동센터함께하는지역아동센터대전광역시 중구 용두로 23, 1층, 지하 1층(용두동)3485719042-223-9105042-335-9105
4142다함께돌봄센터대전 중구 다함께돌봄센터 중촌1호점대전광역시 중구 목중로70번길15, 1층(중촌동)3480836042-222-7179042-252-7179
4243다함께돌봄센터대전 중구 다함께돌봄센터 문화1호점대전광역시 중구 보문산로177번안길20, 2층(문화동)3500832042-581-1020042-583-5525