Overview

Dataset statistics

Number of variables12
Number of observations85
Missing cells85
Missing cells (%)8.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.5 KiB
Average record size in memory102.6 B

Variable types

Categorical5
Text2
Unsupported1
Numeric3
Boolean1

Dataset

Description대구광역시_동구_어린이보호구역_20200114
Author대구광역시 동구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3055120&dataSetDetailId=30551201c9b3fcc231e3_202001141303&provdMethod=FILE

Alerts

관리기관명 has constant value ""Constant
관할경찰서명 has constant value ""Constant
CCTV설치여부 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 시설종류High correlation
시설종류 is highly overall correlated with 위도High correlation
소재지지번주소 has 85 (100.0%) missing valuesMissing
대상시설명 has unique valuesUnique
소재지지번주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 18:38:16.796298
Analysis finished2023-12-10 18:38:20.187203
Duration3.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설종류
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size812.0 B
초등학교
32 
유치원
31 
어린이집
21 
특수학교
 
1

Length

Max length4
Median length4
Mean length3.6352941
Min length3

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
초등학교 32
37.6%
유치원 31
36.5%
어린이집 21
24.7%
특수학교 1
 
1.2%

Length

2023-12-11T03:38:20.738653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:38:20.971373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
초등학교 32
37.6%
유치원 31
36.5%
어린이집 21
24.7%
특수학교 1
 
1.2%

대상시설명
Text

UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-11T03:38:21.472062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length5.3529412
Min length4

Characters and Unicode

Total characters455
Distinct characters113
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

Unique85 ?
Unique (%)100.0%

Sample

1st row효동초교
2nd row율하초교
3rd row반야월초교
4th row동촌초교
5th row신천초교
ValueCountFrequency (%)
효동초교 1
 
1.2%
온누리유치원 1
 
1.2%
호수유치원 1
 
1.2%
효성어린이집 1
 
1.2%
율금초교 1
 
1.2%
강동어린이집 1
 
1.2%
단비어린이집 1
 
1.2%
청산어린이집 1
 
1.2%
예쁜손어린이집 1
 
1.2%
소명어린이집 1
 
1.2%
Other values (75) 75
88.2%
2023-12-11T03:38:22.392048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 35
 
7.7%
교 33
 
7.3%
초 32
 
7.0%
유 31
 
6.8%
치 31
 
6.8%
이 22
 
4.8%
집 21
 
4.6%
린 21
 
4.6%
어 21
 
4.6%
동 14
 
3.1%
Other values (103) 194
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 455
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 35
 
7.7%
교 33
 
7.3%
초 32
 
7.0%
유 31
 
6.8%
치 31
 
6.8%
이 22
 
4.8%
집 21
 
4.6%
린 21
 
4.6%
어 21
 
4.6%
동 14
 
3.1%
Other values (103) 194
42.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 455
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 35
 
7.7%
교 33
 
7.3%
초 32
 
7.0%
유 31
 
6.8%
치 31
 
6.8%
이 22
 
4.8%
집 21
 
4.6%
린 21
 
4.6%
어 21
 
4.6%
동 14
 
3.1%
Other values (103) 194
42.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 455
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 35
 
7.7%
교 33
 
7.3%
초 32
 
7.0%
유 31
 
6.8%
치 31
 
6.8%
이 22
 
4.8%
집 21
 
4.6%
린 21
 
4.6%
어 21
 
4.6%
동 14
 
3.1%
Other values (103) 194
42.6%

소재지도로명주소
Text

Distinct84
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-11T03:38:23.062802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length17.823529
Min length14

Characters and Unicode

Total characters1515
Distinct characters74
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

Unique83 ?
Unique (%)97.6%

Sample

1st row대구광역시 동구 효동로 78-7
2nd row대구광역시 동구 율하동로15길 1
3rd row대구광역시 동구 안심로49길 70
4th row대구광역시 동구 동촌로 168
5th row대구광역시 동구 송라로6길 5
ValueCountFrequency (%)
대구광역시 85
25.1%
동구 85
25.1%
19 3
 
0.9%
11 3
 
0.9%
22 3
 
0.9%
70 3
 
0.9%
31 3
 
0.9%
300 2
 
0.6%
화랑로25길 2
 
0.6%
21 2
 
0.6%
Other values (130) 147
43.5%
2023-12-11T03:38:23.973967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
253
16.7%
구 170
 
11.2%
동 106
 
7.0%
대 85
 
5.6%
로 85
 
5.6%
시 85
 
5.6%
역 85
 
5.6%
광 85
 
5.6%
1 62
 
4.1%
길 60
 
4.0%
Other values (64) 439
29.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 939
62.0%
Decimal Number 305
 
20.1%
Space Separator 253
 
16.7%
Dash Punctuation 18
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 170
18.1%
동 106
11.3%
대 85
9.1%
로 85
9.1%
시 85
9.1%
역 85
9.1%
광 85
9.1%
길 60
 
6.4%
안 10
 
1.1%
하 9
 
1.0%
Other values (52) 159
16.9%
Decimal Number
ValueCountFrequency (%)
1 62
20.3%
2 44
14.4%
5 40
13.1%
3 35
11.5%
7 26
8.5%
0 23
 
7.5%
4 20
 
6.6%
8 19
 
6.2%
6 18
 
5.9%
9 18
 
5.9%
Space Separator
ValueCountFrequency (%)
253
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 939
62.0%
Common 576
38.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 170
18.1%
동 106
11.3%
대 85
9.1%
로 85
9.1%
시 85
9.1%
역 85
9.1%
광 85
9.1%
길 60
 
6.4%
안 10
 
1.1%
하 9
 
1.0%
Other values (52) 159
16.9%
Common
ValueCountFrequency (%)
253
43.9%
1 62
 
10.8%
2 44
 
7.6%
5 40
 
6.9%
3 35
 
6.1%
7 26
 
4.5%
0 23
 
4.0%
4 20
 
3.5%
8 19
 
3.3%
- 18
 
3.1%
Other values (2) 36
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 939
62.0%
ASCII 576
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
253
43.9%
1 62
 
10.8%
2 44
 
7.6%
5 40
 
6.9%
3 35
 
6.1%
7 26
 
4.5%
0 23
 
4.0%
4 20
 
3.5%
8 19
 
3.3%
- 18
 
3.1%
Other values (2) 36
 
6.2%
Hangul
ValueCountFrequency (%)
구 170
18.1%
동 106
11.3%
대 85
9.1%
로 85
9.1%
시 85
9.1%
역 85
9.1%
광 85
9.1%
길 60
 
6.4%
안 10
 
1.1%
하 9
 
1.0%
Other values (52) 159
16.9%

소재지지번주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct84
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.886218
Minimum35.860512
Maximum35.997188
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-11T03:38:24.273222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.860512
5-th percentile35.864986
Q135.870607
median35.878275
Q335.886489
95-th percentile35.942771
Maximum35.997188
Range0.13667551
Interquartile range (IQR)0.015881643

Descriptive statistics

Standard deviation0.026337537
Coefficient of variation (CV)0.00073391788
Kurtosis5.1609792
Mean35.886218
Median Absolute Deviation (MAD)0.0081633357
Skewness2.2417117
Sum3050.3286
Variance0.00069366587
MonotonicityNot monotonic
2023-12-11T03:38:24.538352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.884158 2
 
2.4%
35.884122 1
 
1.2%
35.944223 1
 
1.2%
35.881296 1
 
1.2%
35.8618878142 1
 
1.2%
35.8614277474 1
 
1.2%
35.940566 1
 
1.2%
35.869435 1
 
1.2%
35.870112 1
 
1.2%
35.871458 1
 
1.2%
Other values (74) 74
87.1%
ValueCountFrequency (%)
35.860512047 1
1.2%
35.8614277474 1
1.2%
35.8618878142 1
1.2%
35.864335 1
1.2%
35.864894 1
1.2%
35.8653520969 1
1.2%
35.865365 1
1.2%
35.865592 1
1.2%
35.8663307362 1
1.2%
35.8668412713 1
1.2%
ValueCountFrequency (%)
35.9971875555 1
1.2%
35.980403256 1
1.2%
35.9564796415 1
1.2%
35.944223 1
1.2%
35.942816 1
1.2%
35.9425917485 1
1.2%
35.940566 1
1.2%
35.9307359888 1
1.2%
35.9295395545 1
1.2%
35.9258007355 1
1.2%

경도
Real number (ℝ)

Distinct84
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.66469
Minimum128.6126
Maximum128.75304
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-11T03:38:24.794431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.6126
5-th percentile128.61706
Q1128.63211
median128.65336
Q3128.70074
95-th percentile128.72908
Maximum128.75304
Range0.14043283
Interquartile range (IQR)0.068632458

Descriptive statistics

Standard deviation0.038503394
Coefficient of variation (CV)0.00029925378
Kurtosis-1.1925218
Mean128.66469
Median Absolute Deviation (MAD)0.032386824
Skewness0.39299788
Sum10936.498
Variance0.0014825113
MonotonicityNot monotonic
2023-12-11T03:38:25.041711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.717342 2
 
2.4%
128.6447388933 1
 
1.2%
128.6370343336 1
 
1.2%
128.641876 1
 
1.2%
128.6918367216 1
 
1.2%
128.688654 1
 
1.2%
128.644575 1
 
1.2%
128.619153 1
 
1.2%
128.704704373 1
 
1.2%
128.7070185502 1
 
1.2%
Other values (74) 74
87.1%
ValueCountFrequency (%)
128.612603 1
1.2%
128.6137631058 1
1.2%
128.615027675 1
1.2%
128.6157220303 1
1.2%
128.616848 1
1.2%
128.617919 1
1.2%
128.618421 1
1.2%
128.619153 1
1.2%
128.619791 1
1.2%
128.6198324409 1
1.2%
ValueCountFrequency (%)
128.7530358264 1
1.2%
128.7340266837 1
1.2%
128.733114 1
1.2%
128.730521 1
1.2%
128.730238905 1
1.2%
128.7244493839 1
1.2%
128.7204857908 1
1.2%
128.7176258113 1
1.2%
128.717342 2
2.4%
128.7170839495 1
1.2%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size812.0 B
대구광역시청
85 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시청 85
100.0%

Length

2023-12-11T03:38:25.264738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:38:25.427863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시청 85
100.0%

관할경찰서명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size812.0 B
대구동부경찰서
85 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구동부경찰서 85
100.0%

Length

2023-12-11T03:38:25.603901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:38:25.771919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구동부경찰서 85
100.0%

CCTV설치여부
Boolean

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size217.0 B
True
85 
ValueCountFrequency (%)
True 85
100.0%
2023-12-11T03:38:25.894109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

CCTV설치대수
Categorical

Distinct4
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size812.0 B
1
59 
2
19 
4
 
4
5
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 59
69.4%
2 19
 
22.4%
4 4
 
4.7%
5 3
 
3.5%

Length

2023-12-11T03:38:26.041882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:38:26.244712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 59
69.4%
2 19
 
22.4%
4 4
 
4.7%
5 3
 
3.5%

보호구역도로폭
Real number (ℝ)

Distinct6
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8941176
Minimum6
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-11T03:38:26.434705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile6
Q16
median8
Q38
95-th percentile20
Maximum30
Range24
Interquartile range (IQR)2

Descriptive statistics

Standard deviation5.5291942
Coefficient of variation (CV)0.55883652
Kurtosis4.7200094
Mean9.8941176
Median Absolute Deviation (MAD)0
Skewness2.216267
Sum841
Variance30.571989
MonotonicityNot monotonic
2023-12-11T03:38:26.621716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
8 43
50.6%
6 22
25.9%
20 7
 
8.2%
15 5
 
5.9%
12 5
 
5.9%
30 3
 
3.5%
ValueCountFrequency (%)
6 22
25.9%
8 43
50.6%
12 5
 
5.9%
15 5
 
5.9%
20 7
 
8.2%
30 3
 
3.5%
ValueCountFrequency (%)
30 3
 
3.5%
20 7
 
8.2%
15 5
 
5.9%
12 5
 
5.9%
8 43
50.6%
6 22
25.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size812.0 B
2020-01-14
85 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-01-14
2nd row2020-01-14
3rd row2020-01-14
4th row2020-01-14
5th row2020-01-14

Common Values

ValueCountFrequency (%)
2020-01-14 85
100.0%

Length

2023-12-11T03:38:26.826966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:38:26.984955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-01-14 85
100.0%

Interactions

2023-12-11T03:38:18.746498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:38:17.548120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:38:18.186707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:38:18.942260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:38:17.773941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:38:18.395376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:38:19.142058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:38:17.986953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:38:18.571626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T03:38:27.104198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설종류대상시설명소재지도로명주소위도경도CCTV설치대수보호구역도로폭
시설종류1.0001.0000.9000.7290.0000.5290.282
대상시설명1.0001.0001.0001.0001.0001.0001.000
소재지도로명주소0.9001.0001.0001.0001.0001.0001.000
위도0.7291.0001.0001.0000.4100.4100.247
경도0.0001.0001.0000.4101.0000.0000.000
CCTV설치대수0.5291.0001.0000.4100.0001.0000.000
보호구역도로폭0.2821.0001.0000.2470.0000.0001.000
2023-12-11T03:38:27.284541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설종류CCTV설치대수
시설종류1.0000.228
CCTV설치대수0.2281.000
2023-12-11T03:38:27.422112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도보호구역도로폭시설종류CCTV설치대수
위도1.000-0.498-0.0080.5490.263
경도-0.4981.0000.1980.0000.000
보호구역도로폭-0.0080.1981.0000.2310.000
시설종류0.5490.0000.2311.0000.228
CCTV설치대수0.2630.0000.0000.2281.000

Missing values

2023-12-11T03:38:19.468985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T03:38:19.966348image/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

시설종류대상시설명소재지도로명주소소재지지번주소위도경도관리기관명관할경찰서명CCTV설치여부CCTV설치대수보호구역도로폭데이터기준일자
0초등학교효동초교대구광역시 동구 효동로 78-7<NA>35.884122128.644739대구광역시청대구동부경찰서Y262020-01-14
1초등학교율하초교대구광역시 동구 율하동로15길 1<NA>35.867814128.701537대구광역시청대구동부경찰서Y262020-01-14
2초등학교반야월초교대구광역시 동구 안심로49길 70<NA>35.868274128.710762대구광역시청대구동부경찰서Y262020-01-14
3초등학교동촌초교대구광역시 동구 동촌로 168<NA>35.882087128.658952대구광역시청대구동부경찰서Y182020-01-14
4초등학교신천초교대구광역시 동구 송라로6길 5<NA>35.871649128.621009대구광역시청대구동부경찰서Y262020-01-14
5초등학교아양초교대구광역시 동구 아양로 221<NA>35.887463128.637433대구광역시청대구동부경찰서Y182020-01-14
6유치원소원유치원대구광역시 동구 아양로42길 12<NA>35.885493128.636688대구광역시청대구동부경찰서Y182020-01-14
7유치원사과나무유치원대구광역시 동구 아양로8길 31-4<NA>35.879876128.620657대구광역시청대구동부경찰서Y162020-01-14
8초등학교동신초교대구광역시 동구 송라로123<NA>35.878275128.615028대구광역시청대구동부경찰서Y182020-01-14
9어린이집꿈꽃어린이집대구광역시 동구 송라로110<NA>35.876872128.616848대구광역시청대구동부경찰서Y182020-01-14
시설종류대상시설명소재지도로명주소소재지지번주소위도경도관리기관명관할경찰서명CCTV설치여부CCTV설치대수보호구역도로폭데이터기준일자
75유치원아트숲유치원대구광역시 동구 용계로1길 36<NA>35.875342128.692885대구광역시청대구동부경찰서Y1122020-01-14
76어린이집예일어린이집대구광역시 동구 동부로 67-1<NA>35.875539128.619791대구광역시청대구동부경찰서Y162020-01-14
77유치원금빛유치원대구광역시 동구 반야월로 208-1<NA>35.871726128.711336대구광역시청대구동부경찰서Y182020-01-14
78어린이집동호어린이집대구광역시 동구 안심로51길 120<NA>35.871609128.713137대구광역시청대구동부경찰서Y182020-01-14
79유치원율하유치원대구광역시 동구 안심로 16길 19<NA>35.866331128.694752대구광역시청대구동부경찰서Y182020-01-14
80유치원숲에온유치원대구광역시 동구 신암북로 11길 11<NA>35.888055128.621959대구광역시청대구동부경찰서Y182020-01-14
81유치원으뜸유치원대구광역시 동구 위남로2길 38<NA>35.930736128.634983대구광역시청대구동부경찰서Y162020-01-14
82유치원위즈숲유치원대구광역시 동구 파계로19길 12-7<NA>35.942592128.636003대구광역시청대구동부경찰서Y162020-01-14
83유치원수피아유치원대구광역시 동구 메디벨리로8길 11<NA>35.884158128.717342대구광역시청대구동부경찰서Y1122020-01-14
84어린이집수피아어린이집대구광역시 동구 메디벨리로8길 11<NA>35.884158128.717342대구광역시청대구동부경찰서Y1122020-01-14