Overview

Dataset statistics

Number of variables24
Number of observations63
Missing cells6
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.7 KiB
Average record size in memory206.1 B

Variable types

Numeric11
Categorical7
Text4
DateTime2

Dataset

Description서구 내 어린이집명과 함께 규모, 통학차량 운영, 상세주소, 어린이집 운영 서비스, CCTV설치 유무 등을 통해 어린이집 관련 필요한 정보를 보여주고 있습니다.
Author대구광역시 서구
URLhttps://www.data.go.kr/data/15091828/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
운영현황 has constant value ""Constant
데이터기준일자 has constant value ""Constant
어린이집팩스번호 has 6 (9.5%) missing valuesMissing
연번 has unique valuesUnique
어린이집코드 has unique valuesUnique
어린이집명 has unique valuesUnique
상세주소 has unique valuesUnique
어린이집전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:26:12.741018
Analysis finished2023-12-12 02:26:13.154892
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32
Minimum1
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-12T11:26:13.239627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.1
Q116.5
median32
Q347.5
95-th percentile59.9
Maximum63
Range62
Interquartile range (IQR)31

Descriptive statistics

Standard deviation18.330303
Coefficient of variation (CV)0.57282196
Kurtosis-1.2
Mean32
Median Absolute Deviation (MAD)16
Skewness0
Sum2016
Variance336
MonotonicityStrictly increasing
2023-12-12T11:26:13.412162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
2 1
 
1.6%
35 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
42 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
63 1
1.6%
62 1
1.6%
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%
54 1
1.6%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
대구
63 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구 63
100.0%

Length

2023-12-12T11:26:13.582297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:26:13.682772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구 63
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
서구
63 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서구 63
100.0%

Length

2023-12-12T11:26:13.795640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:26:13.917114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서구 63
100.0%

어린이집코드
Real number (ℝ)

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.717 × 1010
Minimum2.717 × 1010
Maximum2.717 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-12T11:26:14.059201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.717 × 1010
5-th percentile2.717 × 1010
Q12.717 × 1010
median2.717 × 1010
Q32.717 × 1010
95-th percentile2.717 × 1010
Maximum2.717 × 1010
Range194
Interquartile range (IQR)107

Descriptive statistics

Standard deviation63.903457
Coefficient of variation (CV)2.3519859 × 10-9
Kurtosis-1.3125458
Mean2.717 × 1010
Median Absolute Deviation (MAD)53
Skewness0.082019746
Sum1.71171 × 1012
Variance4083.6518
MonotonicityNot monotonic
2023-12-12T11:26:14.261727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27170000037 1
 
1.6%
27170000126 1
 
1.6%
27170000001 1
 
1.6%
27170000145 1
 
1.6%
27170000042 1
 
1.6%
27170000014 1
 
1.6%
27170000132 1
 
1.6%
27170000136 1
 
1.6%
27170000073 1
 
1.6%
27170000110 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
27170000001 1
1.6%
27170000002 1
1.6%
27170000003 1
1.6%
27170000006 1
1.6%
27170000009 1
1.6%
27170000011 1
1.6%
27170000013 1
1.6%
27170000014 1
1.6%
27170000015 1
1.6%
27170000018 1
1.6%
ValueCountFrequency (%)
27170000195 1
1.6%
27170000194 1
1.6%
27170000193 1
1.6%
27170000192 1
1.6%
27170000191 1
1.6%
27170000190 1
1.6%
27170000189 1
1.6%
27170000188 1
1.6%
27170000186 1
1.6%
27170000185 1
1.6%

어린이집명
Text

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-12T11:26:14.576687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length7.7301587
Min length6

Characters and Unicode

Total characters487
Distinct characters117
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)100.0%

Sample

1st row가람어린이집
2nd row경운어린이집
3rd row구립 궁전어린이집
4th row구립 분도어린이집
5th row구립 성산어린이집
ValueCountFrequency (%)
구립 8
 
11.3%
가람어린이집 1
 
1.4%
서대구어린이집 1
 
1.4%
신애어린이집 1
 
1.4%
아이성어린이집 1
 
1.4%
앙팡예능어린이집 1
 
1.4%
애림어린이집-영아 1
 
1.4%
영재앙팡어린이집 1
 
1.4%
영재어린이집 1
 
1.4%
예린어린이집 1
 
1.4%
Other values (54) 54
76.1%
2023-12-12T11:26:14.977358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
71
14.6%
64
 
13.1%
63
 
12.9%
63
 
12.9%
13
 
2.7%
8
 
1.6%
8
 
1.6%
8
 
1.6%
6
 
1.2%
6
 
1.2%
Other values (107) 177
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 476
97.7%
Space Separator 8
 
1.6%
Decimal Number 2
 
0.4%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
71
14.9%
64
 
13.4%
63
 
13.2%
63
 
13.2%
13
 
2.7%
8
 
1.7%
8
 
1.7%
6
 
1.3%
6
 
1.3%
6
 
1.3%
Other values (103) 168
35.3%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
4 1
50.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 476
97.7%
Common 11
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
71
14.9%
64
 
13.4%
63
 
13.2%
63
 
13.2%
13
 
2.7%
8
 
1.7%
8
 
1.7%
6
 
1.3%
6
 
1.3%
6
 
1.3%
Other values (103) 168
35.3%
Common
ValueCountFrequency (%)
8
72.7%
2 1
 
9.1%
- 1
 
9.1%
4 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 476
97.7%
ASCII 11
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
71
14.9%
64
 
13.4%
63
 
13.2%
63
 
13.2%
13
 
2.7%
8
 
1.7%
8
 
1.7%
6
 
1.3%
6
 
1.3%
6
 
1.3%
Other values (103) 168
35.3%
ASCII
ValueCountFrequency (%)
8
72.7%
2 1
 
9.1%
- 1
 
9.1%
4 1
 
9.1%
Distinct6
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size636.0 B
민간
28 
가정
14 
국공립
13 
사회복지법인
법인·단체등

Length

Max length6
Median length2
Mean length2.6507937
Min length2

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
민간 28
44.4%
가정 14
22.2%
국공립 13
20.6%
사회복지법인 4
 
6.3%
법인·단체등 3
 
4.8%
직장 1
 
1.6%

Length

2023-12-12T11:26:15.159070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:26:15.302828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간 28
44.4%
가정 14
22.2%
국공립 13
20.6%
사회복지법인 4
 
6.3%
법인·단체등 3
 
4.8%
직장 1
 
1.6%

운영현황
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
정상
63 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 63
100.0%

Length

2023-12-12T11:26:15.419635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:26:15.513845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 63
100.0%

우편번호
Real number (ℝ)

Distinct47
Distinct (%)74.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41804.032
Minimum41709
Maximum41871
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-12T11:26:15.679699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41709
5-th percentile41720.7
Q141771
median41816
Q341841
95-th percentile41864
Maximum41871
Range162
Interquartile range (IQR)70

Descriptive statistics

Standard deviation47.718586
Coefficient of variation (CV)0.0011414829
Kurtosis-0.97568146
Mean41804.032
Median Absolute Deviation (MAD)30
Skewness-0.49968714
Sum2633654
Variance2277.0635
MonotonicityNot monotonic
2023-12-12T11:26:16.174264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
41827 4
 
6.3%
41837 3
 
4.8%
41846 3
 
4.8%
41864 2
 
3.2%
41727 2
 
3.2%
41794 2
 
3.2%
41820 2
 
3.2%
41715 2
 
3.2%
41839 2
 
3.2%
41828 2
 
3.2%
Other values (37) 39
61.9%
ValueCountFrequency (%)
41709 1
1.6%
41715 2
3.2%
41720 1
1.6%
41727 2
3.2%
41730 2
3.2%
41734 1
1.6%
41742 1
1.6%
41743 1
1.6%
41747 1
1.6%
41749 1
1.6%
ValueCountFrequency (%)
41871 1
1.6%
41870 1
1.6%
41869 1
1.6%
41864 2
3.2%
41863 1
1.6%
41862 1
1.6%
41860 1
1.6%
41855 1
1.6%
41854 1
1.6%
41850 1
1.6%

상세주소
Text

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-12T11:26:16.523328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length39
Mean length27.365079
Min length20

Characters and Unicode

Total characters1724
Distinct characters78
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

Unique63 ?
Unique (%)100.0%

Sample

1st row대구광역시 서구 국채보상로75길 41 (비산동)
2nd row대구광역시 서구 평리로50길 7 (내당동)
3rd row대구광역시 서구 국채보상로61길 24 (평리동)
4th row대구광역시 서구 달구벌대로365길 3 (서구종합사회복지관내) (내당동)
5th row대구광역시 서구 원대동3가 옥산로6길 9 (원대동3가)
ValueCountFrequency (%)
대구광역시 63
19.0%
서구 63
19.0%
평리동 15
 
4.5%
비산동 14
 
4.2%
내당동 10
 
3.0%
중리동 7
 
2.1%
원대동3가 6
 
1.8%
12 5
 
1.5%
20 5
 
1.5%
국채보상로50길 4
 
1.2%
Other values (116) 140
42.2%
2023-12-12T11:26:17.046245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
269
 
15.6%
138
 
8.0%
83
 
4.8%
83
 
4.8%
1 72
 
4.2%
70
 
4.1%
63
 
3.7%
63
 
3.7%
63
 
3.7%
63
 
3.7%
Other values (68) 757
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1016
58.9%
Decimal Number 298
 
17.3%
Space Separator 269
 
15.6%
Open Punctuation 59
 
3.4%
Close Punctuation 59
 
3.4%
Dash Punctuation 18
 
1.0%
Other Punctuation 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
138
13.6%
83
 
8.2%
83
 
8.2%
70
 
6.9%
63
 
6.2%
63
 
6.2%
63
 
6.2%
63
 
6.2%
55
 
5.4%
42
 
4.1%
Other values (53) 293
28.8%
Decimal Number
ValueCountFrequency (%)
1 72
24.2%
3 42
14.1%
2 33
11.1%
0 30
10.1%
5 28
 
9.4%
6 23
 
7.7%
4 23
 
7.7%
7 18
 
6.0%
8 16
 
5.4%
9 13
 
4.4%
Space Separator
ValueCountFrequency (%)
269
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1016
58.9%
Common 708
41.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
138
13.6%
83
 
8.2%
83
 
8.2%
70
 
6.9%
63
 
6.2%
63
 
6.2%
63
 
6.2%
63
 
6.2%
55
 
5.4%
42
 
4.1%
Other values (53) 293
28.8%
Common
ValueCountFrequency (%)
269
38.0%
1 72
 
10.2%
( 59
 
8.3%
) 59
 
8.3%
3 42
 
5.9%
2 33
 
4.7%
0 30
 
4.2%
5 28
 
4.0%
6 23
 
3.2%
4 23
 
3.2%
Other values (5) 70
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1016
58.9%
ASCII 708
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
269
38.0%
1 72
 
10.2%
( 59
 
8.3%
) 59
 
8.3%
3 42
 
5.9%
2 33
 
4.7%
0 30
 
4.2%
5 28
 
4.0%
6 23
 
3.2%
4 23
 
3.2%
Other values (5) 70
 
9.9%
Hangul
ValueCountFrequency (%)
138
13.6%
83
 
8.2%
83
 
8.2%
70
 
6.9%
63
 
6.2%
63
 
6.2%
63
 
6.2%
63
 
6.2%
55
 
5.4%
42
 
4.1%
Other values (53) 293
28.8%
Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-12T11:26:17.409398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters756
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

Unique63 ?
Unique (%)100.0%

Sample

1st row053-563-9983
2nd row053-557-7955
3rd row053-558-6140
4th row053-558-2645
5th row053-354-8310
ValueCountFrequency (%)
053-563-9983 1
 
1.6%
053-561-9059 1
 
1.6%
053-567-2595 1
 
1.6%
053-563-7922 1
 
1.6%
053-554-6533 1
 
1.6%
053-564-9996 1
 
1.6%
053-525-0752 1
 
1.6%
053-557-0752 1
 
1.6%
053-567-6868 1
 
1.6%
053-521-8885 1
 
1.6%
Other values (53) 53
84.1%
2023-12-12T11:26:17.809037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 193
25.5%
- 126
16.7%
3 96
12.7%
0 94
12.4%
2 46
 
6.1%
7 41
 
5.4%
6 39
 
5.2%
4 34
 
4.5%
9 32
 
4.2%
1 32
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 630
83.3%
Dash Punctuation 126
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 193
30.6%
3 96
15.2%
0 94
14.9%
2 46
 
7.3%
7 41
 
6.5%
6 39
 
6.2%
4 34
 
5.4%
9 32
 
5.1%
1 32
 
5.1%
8 23
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 126
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 756
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 193
25.5%
- 126
16.7%
3 96
12.7%
0 94
12.4%
2 46
 
6.1%
7 41
 
5.4%
6 39
 
5.2%
4 34
 
4.5%
9 32
 
4.2%
1 32
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 756
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 193
25.5%
- 126
16.7%
3 96
12.7%
0 94
12.4%
2 46
 
6.1%
7 41
 
5.4%
6 39
 
5.2%
4 34
 
4.5%
9 32
 
4.2%
1 32
 
4.2%
Distinct56
Distinct (%)98.2%
Missing6
Missing (%)9.5%
Memory size636.0 B
2023-12-12T11:26:18.070588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.052632
Min length12

Characters and Unicode

Total characters687
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

Unique55 ?
Unique (%)96.5%

Sample

1st row053-563-9983
2nd row053-557-7955
3rd row053-558-6142
4th row053-561-2655
5th row053-214-8310
ValueCountFrequency (%)
053-551-4556 2
 
3.5%
053-565-6345 1
 
1.8%
053-356-1414 1
 
1.8%
053-563-9983 1
 
1.8%
053-562-4279 1
 
1.8%
053-567-2595 1
 
1.8%
053-566-5577 1
 
1.8%
053-554-6533 1
 
1.8%
053-564-9993 1
 
1.8%
053-525-0752 1
 
1.8%
Other values (46) 46
80.7%
2023-12-12T11:26:18.486849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 159
23.1%
- 114
16.6%
0 90
13.1%
3 86
12.5%
2 45
 
6.6%
6 43
 
6.3%
4 35
 
5.1%
7 35
 
5.1%
1 29
 
4.2%
9 28
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 573
83.4%
Dash Punctuation 114
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 159
27.7%
0 90
15.7%
3 86
15.0%
2 45
 
7.9%
6 43
 
7.5%
4 35
 
6.1%
7 35
 
6.1%
1 29
 
5.1%
9 28
 
4.9%
8 23
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 687
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 159
23.1%
- 114
16.6%
0 90
13.1%
3 86
12.5%
2 45
 
6.6%
6 43
 
6.3%
4 35
 
5.1%
7 35
 
5.1%
1 29
 
4.2%
9 28
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 687
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 159
23.1%
- 114
16.6%
0 90
13.1%
3 86
12.5%
2 45
 
6.6%
6 43
 
6.3%
4 35
 
5.1%
7 35
 
5.1%
1 29
 
4.2%
9 28
 
4.1%

보육실수
Real number (ℝ)

Distinct12
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.968254
Minimum2
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-12T11:26:18.622738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median5
Q37
95-th percentile11
Maximum19
Range17
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.2076936
Coefficient of variation (CV)0.53745931
Kurtosis6.3674416
Mean5.968254
Median Absolute Deviation (MAD)1
Skewness2.2523906
Sum376
Variance10.289299
MonotonicityNot monotonic
2023-12-12T11:26:18.750496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
5 17
27.0%
4 11
17.5%
3 9
14.3%
6 6
 
9.5%
7 6
 
9.5%
8 5
 
7.9%
9 3
 
4.8%
11 2
 
3.2%
18 1
 
1.6%
19 1
 
1.6%
Other values (2) 2
 
3.2%
ValueCountFrequency (%)
2 1
 
1.6%
3 9
14.3%
4 11
17.5%
5 17
27.0%
6 6
 
9.5%
7 6
 
9.5%
8 5
 
7.9%
9 3
 
4.8%
11 2
 
3.2%
14 1
 
1.6%
ValueCountFrequency (%)
19 1
 
1.6%
18 1
 
1.6%
14 1
 
1.6%
11 2
 
3.2%
9 3
 
4.8%
8 5
 
7.9%
7 6
 
9.5%
6 6
 
9.5%
5 17
27.0%
4 11
17.5%

보육실면적
Real number (ℝ)

Distinct59
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202.20635
Minimum51
Maximum808
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-12T11:26:18.895422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51
5-th percentile58.2
Q1112
median160
Q3252.5
95-th percentile477.1
Maximum808
Range757
Interquartile range (IQR)140.5

Descriptive statistics

Standard deviation145.3846
Coefficient of variation (CV)0.71899128
Kurtosis4.0836489
Mean202.20635
Median Absolute Deviation (MAD)81
Skewness1.7707223
Sum12739
Variance21136.683
MonotonicityNot monotonic
2023-12-12T11:26:19.065027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
115 2
 
3.2%
127 2
 
3.2%
170 2
 
3.2%
74 2
 
3.2%
69 1
 
1.6%
365 1
 
1.6%
141 1
 
1.6%
75 1
 
1.6%
61 1
 
1.6%
531 1
 
1.6%
Other values (49) 49
77.8%
ValueCountFrequency (%)
51 1
1.6%
52 1
1.6%
53 1
1.6%
58 1
1.6%
60 1
1.6%
61 1
1.6%
62 1
1.6%
65 1
1.6%
69 1
1.6%
74 2
3.2%
ValueCountFrequency (%)
808 1
1.6%
531 1
1.6%
521 1
1.6%
478 1
1.6%
469 1
1.6%
462 1
1.6%
409 1
1.6%
387 1
1.6%
365 1
1.6%
320 1
1.6%

놀이터수
Categorical

Distinct5
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
26 
1
20 
2
11 
3
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row0
2nd row3
3rd row1
4th row2
5th row1

Common Values

ValueCountFrequency (%)
0 26
41.3%
1 20
31.7%
2 11
17.5%
3 5
 
7.9%
5 1
 
1.6%

Length

2023-12-12T11:26:19.207573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:26:19.335194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
41.3%
1 20
31.7%
2 11
17.5%
3 5
 
7.9%
5 1
 
1.6%

CCTV설치수
Real number (ℝ)

Distinct17
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.9206349
Minimum2
Maximum27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-12T11:26:19.447474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16
median10
Q313
95-th percentile20
Maximum27
Range25
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.1565855
Coefficient of variation (CV)0.51978382
Kurtosis0.83706381
Mean9.9206349
Median Absolute Deviation (MAD)4
Skewness0.90357169
Sum625
Variance26.590374
MonotonicityNot monotonic
2023-12-12T11:26:19.584261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
4 10
15.9%
8 8
12.7%
13 7
11.1%
6 6
9.5%
10 6
9.5%
12 4
 
6.3%
5 3
 
4.8%
11 3
 
4.8%
20 3
 
4.8%
7 3
 
4.8%
Other values (7) 10
15.9%
ValueCountFrequency (%)
2 1
 
1.6%
4 10
15.9%
5 3
 
4.8%
6 6
9.5%
7 3
 
4.8%
8 8
12.7%
10 6
9.5%
11 3
 
4.8%
12 4
 
6.3%
13 7
11.1%
ValueCountFrequency (%)
27 1
 
1.6%
21 1
 
1.6%
20 3
4.8%
17 1
 
1.6%
16 2
 
3.2%
15 2
 
3.2%
14 2
 
3.2%
13 7
11.1%
12 4
6.3%
11 3
4.8%

보육교직원수
Real number (ℝ)

Distinct22
Distinct (%)34.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.920635
Minimum2
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-12T11:26:19.717792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median9
Q314.5
95-th percentile23
Maximum44
Range42
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation7.6142938
Coefficient of variation (CV)0.69723912
Kurtosis5.1092235
Mean10.920635
Median Absolute Deviation (MAD)4
Skewness1.8014435
Sum688
Variance57.977471
MonotonicityNot monotonic
2023-12-12T11:26:19.877274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
13 6
 
9.5%
4 6
 
9.5%
3 5
 
7.9%
8 5
 
7.9%
15 4
 
6.3%
6 4
 
6.3%
5 4
 
6.3%
12 3
 
4.8%
7 3
 
4.8%
11 3
 
4.8%
Other values (12) 20
31.7%
ValueCountFrequency (%)
2 2
 
3.2%
3 5
7.9%
4 6
9.5%
5 4
6.3%
6 4
6.3%
7 3
4.8%
8 5
7.9%
9 3
4.8%
10 2
 
3.2%
11 3
4.8%
ValueCountFrequency (%)
44 1
 
1.6%
32 1
 
1.6%
26 1
 
1.6%
23 2
3.2%
20 1
 
1.6%
18 3
4.8%
17 2
3.2%
16 1
 
1.6%
15 4
6.3%
14 1
 
1.6%

정원
Real number (ℝ)

Distinct42
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.507937
Minimum13
Maximum201
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-12T11:26:20.027625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile19
Q127
median49
Q382.5
95-th percentile137.4
Maximum201
Range188
Interquartile range (IQR)55.5

Descriptive statistics

Standard deviation41.320882
Coefficient of variation (CV)0.69437598
Kurtosis1.2785175
Mean59.507937
Median Absolute Deviation (MAD)27
Skewness1.2423296
Sum3749
Variance1707.4153
MonotonicityNot monotonic
2023-12-12T11:26:20.206423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
20 8
 
12.7%
49 4
 
6.3%
19 4
 
6.3%
68 2
 
3.2%
65 2
 
3.2%
99 2
 
3.2%
52 2
 
3.2%
29 2
 
3.2%
37 2
 
3.2%
30 2
 
3.2%
Other values (32) 33
52.4%
ValueCountFrequency (%)
13 1
 
1.6%
17 1
 
1.6%
19 4
6.3%
20 8
12.7%
24 1
 
1.6%
25 1
 
1.6%
29 2
 
3.2%
30 2
 
3.2%
33 1
 
1.6%
35 1
 
1.6%
ValueCountFrequency (%)
201 1
1.6%
155 1
1.6%
148 1
1.6%
138 1
1.6%
132 1
1.6%
131 1
1.6%
121 1
1.6%
120 1
1.6%
107 1
1.6%
100 1
1.6%

아동현원
Real number (ℝ)

Distinct40
Distinct (%)63.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.079365
Minimum4
Maximum186
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-12T11:26:20.402487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6.1
Q117
median37
Q360
95-th percentile96.8
Maximum186
Range182
Interquartile range (IQR)43

Descriptive statistics

Standard deviation33.189729
Coefficient of variation (CV)0.7887412
Kurtosis4.5578537
Mean42.079365
Median Absolute Deviation (MAD)21
Skewness1.680021
Sum2651
Variance1101.5581
MonotonicityNot monotonic
2023-12-12T11:26:20.605118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
37 4
 
6.3%
45 4
 
6.3%
16 3
 
4.8%
25 3
 
4.8%
20 3
 
4.8%
17 3
 
4.8%
12 2
 
3.2%
61 2
 
3.2%
13 2
 
3.2%
50 2
 
3.2%
Other values (30) 35
55.6%
ValueCountFrequency (%)
4 2
3.2%
5 1
 
1.6%
6 1
 
1.6%
7 1
 
1.6%
8 1
 
1.6%
10 1
 
1.6%
12 2
3.2%
13 2
3.2%
16 3
4.8%
17 3
4.8%
ValueCountFrequency (%)
186 1
1.6%
120 1
1.6%
99 1
1.6%
97 1
1.6%
95 1
1.6%
89 2
3.2%
74 1
1.6%
73 1
1.6%
69 1
1.6%
68 1
1.6%

위도
Real number (ℝ)

Distinct59
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.92313
Minimum35.773764
Maximum37.56647
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-12T11:26:20.793161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.773764
5-th percentile35.858152
Q135.864021
median35.870114
Q335.877931
95-th percentile35.886526
Maximum37.56647
Range1.7927059
Interquartile range (IQR)0.013910665

Descriptive statistics

Standard deviation0.30033551
Coefficient of variation (CV)0.0083605051
Kurtosis28.705182
Mean35.92313
Median Absolute Deviation (MAD)0.00758196
Skewness5.449913
Sum2263.1572
Variance0.090201421
MonotonicityNot monotonic
2023-12-12T11:26:21.002892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.87769554 2
 
3.2%
37.56647 2
 
3.2%
35.87011358 2
 
3.2%
35.86717522 2
 
3.2%
35.87605836 1
 
1.6%
35.86604578 1
 
1.6%
35.88039988 1
 
1.6%
35.86751743 1
 
1.6%
35.85975589 1
 
1.6%
35.85849757 1
 
1.6%
Other values (49) 49
77.8%
ValueCountFrequency (%)
35.77376407 1
1.6%
35.845637 1
1.6%
35.85683899 1
1.6%
35.85811362 1
1.6%
35.85849757 1
1.6%
35.85935737 1
1.6%
35.85962449 1
1.6%
35.85975589 1
1.6%
35.86084485 1
1.6%
35.8610016 1
1.6%
ValueCountFrequency (%)
37.56647 2
3.2%
35.88770119 1
1.6%
35.88653062 1
1.6%
35.88648664 1
1.6%
35.88570418 1
1.6%
35.88563339 1
1.6%
35.88527359 1
1.6%
35.88387307 1
1.6%
35.88380649 1
1.6%
35.88243032 1
1.6%

경도
Real number (ℝ)

Distinct59
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.52075
Minimum126.97796
Maximum128.9304
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-12T11:26:21.207371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.97796
5-th percentile128.54046
Q1128.5511
median128.56175
Q3128.5693
95-th percentile128.57675
Maximum128.9304
Range1.9524379
Interquartile range (IQR)0.01820235

Descriptive statistics

Standard deviation0.28805675
Coefficient of variation (CV)0.0022413249
Kurtosis26.197987
Mean128.52075
Median Absolute Deviation (MAD)0.0091067
Skewness-5.0395914
Sum8096.8071
Variance0.082976693
MonotonicityNot monotonic
2023-12-12T11:26:21.407866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.5761643 2
 
3.2%
126.977963 2
 
3.2%
128.55951 2
 
3.2%
128.5480685 2
 
3.2%
128.5721196 1
 
1.6%
128.5644411 1
 
1.6%
128.5514858 1
 
1.6%
128.5573403 1
 
1.6%
128.5436885 1
 
1.6%
128.540451 1
 
1.6%
Other values (49) 49
77.8%
ValueCountFrequency (%)
126.977963 2
3.2%
128.5278815 1
1.6%
128.540451 1
1.6%
128.5405904 1
1.6%
128.5408837 1
1.6%
128.5435949 1
1.6%
128.5436885 1
1.6%
128.544338 1
1.6%
128.5480685 2
3.2%
128.5484028 1
1.6%
ValueCountFrequency (%)
128.9304009 1
1.6%
128.8620361 1
1.6%
128.5802226 1
1.6%
128.5768204 1
1.6%
128.5761643 2
3.2%
128.57593 1
1.6%
128.5758968 1
1.6%
128.5758232 1
1.6%
128.5757669 1
1.6%
128.5725967 1
1.6%
Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
운영(신고)
50 
미운영
13 

Length

Max length6
Median length6
Mean length5.3809524
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미운영
2nd row운영(신고)
3rd row운영(신고)
4th row운영(신고)
5th row운영(신고)

Common Values

ValueCountFrequency (%)
운영(신고) 50
79.4%
미운영 13
 
20.6%

Length

2023-12-12T11:26:21.574789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:26:21.706904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영(신고 50
79.4%
미운영 13
 
20.6%
Distinct60
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
Minimum1988-01-22 00:00:00
Maximum2022-09-01 00:00:00
2023-12-12T11:26:21.871804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:26:22.043165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제공서비스
Categorical

Distinct7
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size636.0 B
일반
36 
야간연장
22 
장애아통합,야간연장
 
1
장애아전문
 
1
영아전담
 
1
Other values (2)
 
2

Length

Max length10
Median length2
Mean length3.1269841
Min length2

Unique

Unique5 ?
Unique (%)7.9%

Sample

1st row일반
2nd row일반
3rd row야간연장
4th row장애아통합,야간연장
5th row야간연장

Common Values

ValueCountFrequency (%)
일반 36
57.1%
야간연장 22
34.9%
장애아통합,야간연장 1
 
1.6%
장애아전문 1
 
1.6%
영아전담 1
 
1.6%
야간연장,시간제보육 1
 
1.6%
일반,시간제보육 1
 
1.6%

Length

2023-12-12T11:26:22.221078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:26:22.363019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 36
57.1%
야간연장 22
34.9%
장애아통합,야간연장 1
 
1.6%
장애아전문 1
 
1.6%
영아전담 1
 
1.6%
야간연장,시간제보육 1
 
1.6%
일반,시간제보육 1
 
1.6%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
Minimum2022-10-05 00:00:00
Maximum2022-10-05 00:00:00
2023-12-12T11:26:22.485875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:26:22.613242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

연번시도명시군구명어린이집코드어린이집명어린이집유형구분운영현황우편번호상세주소어린이집전화번호어린이집팩스번호보육실수보육실면적놀이터수CCTV설치수보육교직원수정원아동현원위도경도통학차량 운영인가일자제공서비스데이터기준일자
01대구서구27170000037가람어린이집가정정상41797대구광역시 서구 국채보상로75길 41 (비산동)053-563-9983053-563-998336904313535.876058128.57212미운영1996-12-12일반2022-10-05
12대구서구27170000126경운어린이집민간정상41850대구광역시 서구 평리로50길 7 (내당동)053-557-7955053-557-7955827331118906135.861986128.550705운영(신고)2006-06-09일반2022-10-05
23대구서구27170000190구립 궁전어린이집국공립정상41788대구광역시 서구 국채보상로61길 24 (평리동)053-558-6140053-558-6142114621172612012035.872986128.566587운영(신고)2019-04-01야간연장2022-10-05
34대구서구27170000188구립 분도어린이집국공립정상41863대구광역시 서구 달구벌대로365길 3 (서구종합사회복지관내) (내당동)053-558-2645053-561-265542282717655935.861002128.563469운영(신고)2019-03-01장애아통합,야간연장2022-10-05
45대구서구27170000189구립 성산어린이집국공립정상41727대구광역시 서구 원대동3가 옥산로6길 9 (원대동3가)053-354-8310053-214-8310628811418998935.883873128.580223운영(신고)2019-03-01야간연장2022-10-05
56대구서구27170000191구립 아이꿈어린이집국공립정상41835대구광역시 서구 평리로55길 24 (평리동)053-561-4529053-716-4529614901012494735.865797128.553758운영(신고)2019-04-01야간연장2022-10-05
67대구서구27170000195구립 아이편한숲어린이집국공립정상41860대구광역시 서구 달구벌대로361길 41053-554-0964053-564-0963526511313524937.56647126.977963미운영2022-09-01일반2022-10-05
78대구서구27170000194구립 윤성어린이집국공립정상41813대구광역시 서구 국채보상로60길 14053-568-3464053-523-3464516011013454535.845637128.862036운영(신고)2021-12-28일반2022-10-05
89대구서구27170000193구립 인지어린이집국공립정상41715대구광역시 서구 서대구로68길 12 (비산동)053-351-1259<NA>918921013585835.773764128.930401운영(신고)2020-12-01야간연장2022-10-05
910대구서구27170000192구립 중리캐슬어린이집국공립정상41837대구광역시 서구 국채보상로34길 12 중리롯데캐슬 120동(중리동)053-525-8253<NA>51431813525037.56647126.977963운영(신고)2019-12-01야간연장2022-10-05
연번시도명시군구명어린이집코드어린이집명어린이집유형구분운영현황우편번호상세주소어린이집전화번호어린이집팩스번호보육실수보육실면적놀이터수CCTV설치수보육교직원수정원아동현원위도경도통학차량 운영인가일자제공서비스데이터기준일자
5354대구서구27170000149트리니티어린이집가정정상41855대구광역시 서구 서대구로3길 69 (내당동)053-555-1855053-567-06024146044202035.858114128.549392운영(신고)2004-05-06일반2022-10-05
5455대구서구27170000111튼튼아이어린이집가정정상41837대구광역시 서구 국채보상로34길 12 118동 104호(중리동, 중리롯데캐슬아파트)053-286-7979053-286-7979353044191335.867175128.548068미운영2006-05-10일반2022-10-05
5556대구서구27170000094파란나라어린이집민간정상41787대구광역시 서구 통학로 138 (평리동)053-522-0050070-8220-667011469213181489535.872559128.56309운영(신고)1999-07-13일반2022-10-05
5657대구서구27170000186푸르지오2어린이집민간정상41827대구광역시 서구 국채보상로50길 20 푸르지오2단지 관리동053-551-4556053-551-45564127066252335.870114128.55951미운영2013-03-04일반2022-10-05
5758대구서구27170000185푸르지오어린이집민간정상41827대구광역시 서구 국채보상로50길 20 1단지 관리동053-553-4556053-551-4556512707229435.870114128.55951미운영2013-02-27일반2022-10-05
5859대구서구27170000117푸른연세어린이집민간정상41782대구광역시 서구 문화로 321-1 (평리동)053-555-0761053-555-0763381056302535.874719128.549692미운영2005-06-10일반2022-10-05
5960대구서구27170000108해오름어린이집가정정상41862대구광역시 서구 통학로7길 19 (내당동)053-556-7098053-522-7090458043201335.863268128.562258운영(신고)2005-12-19야간연장2022-10-05
6061대구서구27170000029행복이가득한어린이집민간정상41720대구광역시 서구 달서천로53길 18 (비산동)053-341-7179053-357-727914478321231219935.885633128.562095운영(신고)2006-03-02일반,시간제보육2022-10-05
6162대구서구27170000146행복한사과나무어린이집민간정상41742대구광역시 서구 북비산로65길 47-1 (비산동)053-566-9023053-566-90237164083351735.883806128.568667운영(신고)2007-07-10야간연장2022-10-05
6263대구서구27170000018황소나무어린이집가정정상41864대구광역시 서구 서대구로6길 31 (내당동)053-564-3620<NA>25212217435.86137128.560923미운영1997-05-03일반2022-10-05