Overview

Dataset statistics

Number of variables10
Number of observations119
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.8 KiB
Average record size in memory84.1 B

Variable types

Numeric3
Categorical2
Text3
DateTime1
Boolean1

Dataset

Description대전광역시 중구 관내 어린이집 현황(어린이집명, 주소, 연락처, 정원, 보육교사 수, 평가인증여부, 유형,시간연장 등)
Author대전광역시 중구
URLhttps://www.data.go.kr/data/15119603/fileData.do

Alerts

정원 is highly overall correlated with 보육교직원현원High correlation
보육교직원현원 is highly overall correlated with 정원High correlation
평가참여(인증) is highly imbalanced (83.0%)Imbalance
연번 has unique valuesUnique
어린이집 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:00:15.337413
Analysis finished2023-12-12 16:00:17.270723
Duration1.93 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct119
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60
Minimum1
Maximum119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T01:00:17.372200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.9
Q130.5
median60
Q389.5
95-th percentile113.1
Maximum119
Range118
Interquartile range (IQR)59

Descriptive statistics

Standard deviation34.496377
Coefficient of variation (CV)0.57493961
Kurtosis-1.2
Mean60
Median Absolute Deviation (MAD)30
Skewness0
Sum7140
Variance1190
MonotonicityStrictly increasing
2023-12-13T01:00:17.581798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
2 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
85 1
 
0.8%
84 1
 
0.8%
83 1
 
0.8%
82 1
 
0.8%
Other values (109) 109
91.6%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
119 1
0.8%
118 1
0.8%
117 1
0.8%
116 1
0.8%
115 1
0.8%
114 1
0.8%
113 1
0.8%
112 1
0.8%
111 1
0.8%
110 1
0.8%

어린이집유형
Categorical

Distinct7
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
가정
57 
민간
29 
국공립
20 
사회복지법인
 
5
직장
 
4
Other values (2)
 
4

Length

Max length6
Median length2
Mean length2.4033613
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row민간
2nd row가정
3rd row가정
4th row가정
5th row가정

Common Values

ValueCountFrequency (%)
가정 57
47.9%
민간 29
24.4%
국공립 20
 
16.8%
사회복지법인 5
 
4.2%
직장 4
 
3.4%
협동 2
 
1.7%
법인·단체등 2
 
1.7%

Length

2023-12-13T01:00:17.759157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:00:17.924378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정 57
47.9%
민간 29
24.4%
국공립 20
 
16.8%
사회복지법인 5
 
4.2%
직장 4
 
3.4%
협동 2
 
1.7%
법인·단체등 2
 
1.7%

어린이집
Text

UNIQUE 

Distinct119
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-13T01:00:18.177641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length7.4453782
Min length6

Characters and Unicode

Total characters886
Distinct characters171
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique119 ?
Unique (%)100.0%

Sample

1st row강남어린이집
2nd row그리다어린이집
3rd row그린나래 어린이집
4th row그린키즈어린이집
5th row글꽃어린이집
ValueCountFrequency (%)
어린이집 10
 
7.7%
강남어린이집 1
 
0.8%
자이킨더어린이집 1
 
0.8%
자연어린이집 1
 
0.8%
은혜어린이집 1
 
0.8%
유천딩동댕어린이집 1
 
0.8%
위키어린이집 1
 
0.8%
위니키즈어린이집 1
 
0.8%
우리들어린이집 1
 
0.8%
우리누리어린이집 1
 
0.8%
Other values (111) 111
85.4%
2023-12-13T01:00:18.632580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 134
15.1%
린 122
 
13.8%
어 120
 
13.5%
집 119
 
13.4%
리 14
 
1.6%
11
 
1.2%
아 10
 
1.1%
나 10
 
1.1%
키 10
 
1.1%
즈 9
 
1.0%
Other values (161) 327
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 875
98.8%
Space Separator 11
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 134
15.3%
린 122
 
13.9%
어 120
 
13.7%
집 119
 
13.6%
리 14
 
1.6%
아 10
 
1.1%
나 10
 
1.1%
키 10
 
1.1%
즈 9
 
1.0%
사 9
 
1.0%
Other values (160) 318
36.3%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 875
98.8%
Common 11
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 134
15.3%
린 122
 
13.9%
어 120
 
13.7%
집 119
 
13.6%
리 14
 
1.6%
아 10
 
1.1%
나 10
 
1.1%
키 10
 
1.1%
즈 9
 
1.0%
사 9
 
1.0%
Other values (160) 318
36.3%
Common
ValueCountFrequency (%)
11
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 875
98.8%
ASCII 11
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 134
15.3%
린 122
 
13.9%
어 120
 
13.7%
집 119
 
13.6%
리 14
 
1.6%
아 10
 
1.1%
나 10
 
1.1%
키 10
 
1.1%
즈 9
 
1.0%
사 9
 
1.0%
Other values (160) 318
36.3%
ASCII
ValueCountFrequency (%)
11
100.0%

인가일
Date

Distinct108
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1990-04-19 00:00:00
Maximum2023-03-02 00:00:00
2023-12-13T01:00:18.817581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:00:19.282551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

주소
Text

UNIQUE 

Distinct119
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-13T01:00:19.585231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length37
Mean length32.016807
Min length16

Characters and Unicode

Total characters3810
Distinct characters142
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

Unique119 ?
Unique (%)100.0%

Sample

1st row대전광역시 중구 계룡로 873-11
2nd row대전광역시 중구 계룡로 852 삼성아파트 22동 105호
3rd row대전광역시 중구 목동로 70 올리브힐아파트 102동 103호(목동)
4th row대전광역시 중구 서문로 32 108-102(문화동 한밭우성아파트)
5th row대전광역시 중구 계백로1716번길 87 303동 103호(문화동, 센트럴파크3단지아파트)
ValueCountFrequency (%)
중구 120
 
16.7%
대전광역시 119
 
16.6%
태평로 12
 
1.7%
관리동 10
 
1.4%
유천동 8
 
1.1%
서문로 7
 
1.0%
문화동 6
 
0.8%
목동로 6
 
0.8%
평촌로 6
 
0.8%
계룡로 6
 
0.8%
Other values (255) 419
58.3%
2023-12-13T01:00:20.124313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
602
 
15.8%
1 218
 
5.7%
동 165
 
4.3%
대 141
 
3.7%
중 139
 
3.6%
전 125
 
3.3%
구 121
 
3.2%
역 120
 
3.1%
광 119
 
3.1%
시 119
 
3.1%
Other values (132) 1941
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2237
58.7%
Decimal Number 742
 
19.5%
Space Separator 602
 
15.8%
Close Punctuation 85
 
2.2%
Open Punctuation 85
 
2.2%
Other Punctuation 43
 
1.1%
Dash Punctuation 16
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 165
 
7.4%
대 141
 
6.3%
중 139
 
6.2%
전 125
 
5.6%
구 121
 
5.4%
역 120
 
5.4%
광 119
 
5.3%
시 119
 
5.3%
로 119
 
5.3%
트 74
 
3.3%
Other values (116) 995
44.5%
Decimal Number
ValueCountFrequency (%)
1 218
29.4%
0 113
15.2%
3 80
 
10.8%
2 78
 
10.5%
5 54
 
7.3%
8 45
 
6.1%
6 42
 
5.7%
7 41
 
5.5%
4 40
 
5.4%
9 31
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 42
97.7%
/ 1
 
2.3%
Space Separator
ValueCountFrequency (%)
602
100.0%
Close Punctuation
ValueCountFrequency (%)
) 85
100.0%
Open Punctuation
ValueCountFrequency (%)
( 85
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2237
58.7%
Common 1573
41.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 165
 
7.4%
대 141
 
6.3%
중 139
 
6.2%
전 125
 
5.6%
구 121
 
5.4%
역 120
 
5.4%
광 119
 
5.3%
시 119
 
5.3%
로 119
 
5.3%
트 74
 
3.3%
Other values (116) 995
44.5%
Common
ValueCountFrequency (%)
602
38.3%
1 218
 
13.9%
0 113
 
7.2%
) 85
 
5.4%
( 85
 
5.4%
3 80
 
5.1%
2 78
 
5.0%
5 54
 
3.4%
8 45
 
2.9%
, 42
 
2.7%
Other values (6) 171
 
10.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2237
58.7%
ASCII 1573
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
602
38.3%
1 218
 
13.9%
0 113
 
7.2%
) 85
 
5.4%
( 85
 
5.4%
3 80
 
5.1%
2 78
 
5.0%
5 54
 
3.4%
8 45
 
2.9%
, 42
 
2.7%
Other values (6) 171
 
10.9%
Hangul
ValueCountFrequency (%)
동 165
 
7.4%
대 141
 
6.3%
중 139
 
6.2%
전 125
 
5.6%
구 121
 
5.4%
역 120
 
5.4%
광 119
 
5.3%
시 119
 
5.3%
로 119
 
5.3%
트 74
 
3.3%
Other values (116) 995
44.5%

어린이집특성
Categorical

Distinct7
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
일반
60 
야간연장
46 
야간연장,시간제보육
 
6
일반,시간제보육
 
3
영아전담,야간연장
 
2
Other values (2)
 
2

Length

Max length15
Median length2
Mean length3.6218487
Min length2

Unique

Unique2 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
일반 60
50.4%
야간연장 46
38.7%
야간연장,시간제보육 6
 
5.0%
일반,시간제보육 3
 
2.5%
영아전담,야간연장 2
 
1.7%
영아전담,야간연장,시간제보육 1
 
0.8%
장애아통합,야간연장 1
 
0.8%

Length

2023-12-13T01:00:20.298461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:00:20.429009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 60
50.4%
야간연장 46
38.7%
야간연장,시간제보육 6
 
5.0%
일반,시간제보육 3
 
2.5%
영아전담,야간연장 2
 
1.7%
영아전담,야간연장,시간제보육 1
 
0.8%
장애아통합,야간연장 1
 
0.8%

평가참여(인증)
Boolean

IMBALANCE 

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size251.0 B
True
116 
False
 
3
ValueCountFrequency (%)
True 116
97.5%
False 3
 
2.5%
2023-12-13T01:00:20.551841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

정원
Real number (ℝ)

HIGH CORRELATION 

Distinct41
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.10084
Minimum17
Maximum140
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T01:00:20.653968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile19
Q120
median27
Q350
95-th percentile100.4
Maximum140
Range123
Interquartile range (IQR)30

Descriptive statistics

Standard deviation28.546244
Coefficient of variation (CV)0.71186149
Kurtosis1.9626835
Mean40.10084
Median Absolute Deviation (MAD)8
Skewness1.594114
Sum4772
Variance814.88805
MonotonicityNot monotonic
2023-12-13T01:00:20.791350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
20 45
37.8%
19 8
 
6.7%
49 6
 
5.0%
36 4
 
3.4%
33 4
 
3.4%
80 3
 
2.5%
34 3
 
2.5%
56 2
 
1.7%
67 2
 
1.7%
45 2
 
1.7%
Other values (31) 40
33.6%
ValueCountFrequency (%)
17 2
 
1.7%
18 2
 
1.7%
19 8
 
6.7%
20 45
37.8%
23 1
 
0.8%
26 1
 
0.8%
27 1
 
0.8%
28 1
 
0.8%
30 2
 
1.7%
31 1
 
0.8%
ValueCountFrequency (%)
140 1
0.8%
128 1
0.8%
123 1
0.8%
120 1
0.8%
114 1
0.8%
113 1
0.8%
99 2
1.7%
94 1
0.8%
90 1
0.8%
84 1
0.8%

보육교직원현원
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)19.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7478992
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T01:00:20.930292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q16
median9
Q312
95-th percentile19.2
Maximum32
Range31
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.0593402
Coefficient of variation (CV)0.51901852
Kurtosis3.1400227
Mean9.7478992
Median Absolute Deviation (MAD)3
Skewness1.5079463
Sum1160
Variance25.596924
MonotonicityNot monotonic
2023-12-13T01:00:21.062135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
6 15
12.6%
7 13
10.9%
8 13
10.9%
10 11
9.2%
9 11
9.2%
5 10
8.4%
11 7
 
5.9%
13 6
 
5.0%
14 5
 
4.2%
4 5
 
4.2%
Other values (13) 23
19.3%
ValueCountFrequency (%)
1 1
 
0.8%
2 1
 
0.8%
3 1
 
0.8%
4 5
 
4.2%
5 10
8.4%
6 15
12.6%
7 13
10.9%
8 13
10.9%
9 11
9.2%
10 11
9.2%
ValueCountFrequency (%)
32 1
 
0.8%
24 2
 
1.7%
23 1
 
0.8%
21 2
 
1.7%
19 3
2.5%
18 1
 
0.8%
17 3
2.5%
16 1
 
0.8%
15 2
 
1.7%
14 5
4.2%

전화번호
Text

UNIQUE 

Distinct119
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-13T01:00:21.342100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.02521
Min length12

Characters and Unicode

Total characters1431
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

Unique119 ?
Unique (%)100.0%

Sample

1st row042-255-6640
2nd row070-8818-0345
3rd row042-224-8884
4th row042-582-3260
5th row042-524-1961
ValueCountFrequency (%)
042-255-6640 1
 
0.8%
042-223-7708 1
 
0.8%
042-533-3456 1
 
0.8%
042-533-0992 1
 
0.8%
042-538-0778 1
 
0.8%
042-526-3750 1
 
0.8%
042-581-7795 1
 
0.8%
042-242-5262 1
 
0.8%
042-253-4809 1
 
0.8%
042-242-5522 1
 
0.8%
Other values (109) 109
91.6%
2023-12-13T01:00:21.826067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 275
19.2%
- 238
16.6%
0 194
13.6%
4 183
12.8%
5 152
10.6%
3 87
 
6.1%
7 71
 
5.0%
8 63
 
4.4%
6 62
 
4.3%
1 60
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1193
83.4%
Dash Punctuation 238
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 275
23.1%
0 194
16.3%
4 183
15.3%
5 152
12.7%
3 87
 
7.3%
7 71
 
6.0%
8 63
 
5.3%
6 62
 
5.2%
1 60
 
5.0%
9 46
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 238
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1431
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 275
19.2%
- 238
16.6%
0 194
13.6%
4 183
12.8%
5 152
10.6%
3 87
 
6.1%
7 71
 
5.0%
8 63
 
4.4%
6 62
 
4.3%
1 60
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1431
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 275
19.2%
- 238
16.6%
0 194
13.6%
4 183
12.8%
5 152
10.6%
3 87
 
6.1%
7 71
 
5.0%
8 63
 
4.4%
6 62
 
4.3%
1 60
 
4.2%

Interactions

2023-12-13T01:00:16.523336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:00:15.869725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:00:16.211765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:00:16.665586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:00:15.985556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:00:16.317075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:00:16.820682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:00:16.090539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:00:16.411714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:00:21.955700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번어린이집유형어린이집특성평가참여(인증)정원보육교직원현원
연번1.0000.0980.0730.0000.0000.000
어린이집유형0.0981.0000.3870.3870.7060.585
어린이집특성0.0730.3871.0000.0000.2780.559
평가참여(인증)0.0000.3870.0001.0000.3920.180
정원0.0000.7060.2780.3921.0000.724
보육교직원현원0.0000.5850.5590.1800.7241.000
2023-12-13T01:00:22.059134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
평가참여(인증)어린이집특성어린이집유형
평가참여(인증)1.0000.0000.405
어린이집특성0.0001.0000.142
어린이집유형0.4050.1421.000
2023-12-13T01:00:22.165793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번정원보육교직원현원어린이집유형어린이집특성평가참여(인증)
연번1.0000.003-0.0440.0910.0610.000
정원0.0031.0000.7490.4510.1400.289
보육교직원현원-0.0440.7491.0000.3540.3330.173
어린이집유형0.0910.4510.3541.0000.1420.405
어린이집특성0.0610.1400.3330.1421.0000.000
평가참여(인증)0.0000.2890.1730.4050.0001.000

Missing values

2023-12-13T01:00:16.996937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:00:17.205945image/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

연번어린이집유형어린이집인가일주소어린이집특성평가참여(인증)정원보육교직원현원전화번호
01민간강남어린이집2006/09/18대전광역시 중구 계룡로 873-11일반Y8211042-255-6640
12가정그리다어린이집2012/08/06대전광역시 중구 계룡로 852 삼성아파트 22동 105호일반Y205070-8818-0345
23가정그린나래 어린이집2011/09/27대전광역시 중구 목동로 70 올리브힐아파트 102동 103호(목동)일반Y174042-224-8884
34가정그린키즈어린이집2012/06/01대전광역시 중구 서문로 32 108-102(문화동 한밭우성아파트)일반Y2010042-582-3260
45가정글꽃어린이집2007/04/30대전광역시 중구 계백로1716번길 87 303동 103호(문화동, 센트럴파크3단지아파트)일반Y205042-524-1961
56가정꼬마별어린이집2012/07/16대전광역시 중구 중앙로 45 센트럴뷰아파트 104/101일반Y197042-321-7352
67민간꽃망울어린이집1993/09/08대전광역시 중구 목중로20번길 16 (중촌동)야간연장Y5411042-252-5622
78가정꿈모리어린이집2008/11/17대전광역시 중구 평촌로 93 108동 104호(태평동, 쌍용예가아파트)일반Y207042-369-9582
89가정꿈이랑 어린이집2005/01/27대전광역시 중구 보문산로161번길 56 삼성푸른아파트 104동 104호야간연장Y205042-581-9823
910민간꿈이있는어린이집2002/10/25대전광역시 중구 문화로99번길 70 (유천동)야간연장Y3810042-585-8790
연번어린이집유형어린이집인가일주소어린이집특성평가참여(인증)정원보육교직원현원전화번호
109110직장한가족어린이집1995/11/27대전광역시 중구 중앙로 100 중구청내 어린이집 (대흥동)야간연장Y337042-606-6973
110111국공립한사랑어린이집2021/03/02대전광역시 중구 동서대로 1388 금호한사랑아파트 관리동일반Y269042-223-7939
111112직장해나라어린이집1995/12/20대전광역시 중구 목중로35번길 11 (목동)야간연장Y3010042-220-8651
112113사회복지법인해밀어린이집2004/12/31대전광역시 중구 대둔산로420번길 83 (산성동)야간연장,시간제보육Y5916042-586-0020
113114민간해바라기어린이집2003/10/14대전광역시 중구 목동로 37 해바라기어린이집일반Y491042-226-4242
114115가정해피브레인어린이집2009/06/10대전광역시 중구 태평로 77 21동 14호(태평동, 삼부아파트2단지)야간연장Y206042-538-6566
115116가정해피트리어린이집2007/04/16대전광역시 중구 계백로1716번길 87 305동 103호(문화동, 센트럴파크3단지아파트)일반Y206042-383-9911
116117가정햇살가득어린이집1997/10/06대전광역시 중구 보문산로 31 106동 108호(산성동, 한밭가든아파트)일반Y186042-585-6679
117118가정행복한자이어린이집2013/10/24대전광역시 중구 충무로107번길 100 112동 106호 (대흥동, 센트럴자이)일반Y203042-222-2050
118119가정호크마성모 어린이집2006/03/17대전광역시 중구 서문로 32 109동 105호(문화동, 한밭우성아파트)야간연장Y206042-584-5581