Overview

Dataset statistics

Number of variables20
Number of observations355
Missing cells10
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory57.3 KiB
Average record size in memory165.4 B

Variable types

Numeric5
Categorical7
Text6
Boolean1
DateTime1

Dataset

Description야간시간연장어린이집현황20194월
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=201477

Alerts

시도 has constant value ""Constant
어린이집유형 is highly overall correlated with 정부지원High correlation
정부지원 is highly overall correlated with 정원 and 1 other fieldsHigh correlation
No is highly overall correlated with 시군구High correlation
정원 is highly overall correlated with 아동현원 and 2 other fieldsHigh correlation
아동현원 is highly overall correlated with 정원 and 1 other fieldsHigh correlation
보육교직원현원 is highly overall correlated with 정원 and 1 other fieldsHigh correlation
시군구 is highly overall correlated with NoHigh correlation
통학차량 운영 is highly imbalanced (50.9%)Imbalance
어린이집특성 is highly imbalanced (77.8%)Imbalance
평가인증여부 is highly imbalanced (71.1%)Imbalance
평가인증일 has 10 (2.8%) missing valuesMissing
No has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique
아동현원 has 5 (1.4%) zerosZeros

Reproduction

Analysis started2024-03-14 00:23:25.382352
Analysis finished2024-03-14 00:23:28.764269
Duration3.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

No
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct355
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean178
Minimum1
Maximum355
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-03-14T09:23:28.836093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18.7
Q189.5
median178
Q3266.5
95-th percentile337.3
Maximum355
Range354
Interquartile range (IQR)177

Descriptive statistics

Standard deviation102.62391
Coefficient of variation (CV)0.57653881
Kurtosis-1.2
Mean178
Median Absolute Deviation (MAD)89
Skewness0
Sum63190
Variance10531.667
MonotonicityStrictly increasing
2024-03-14T09:23:28.998769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
224 1
 
0.3%
244 1
 
0.3%
243 1
 
0.3%
242 1
 
0.3%
241 1
 
0.3%
240 1
 
0.3%
239 1
 
0.3%
238 1
 
0.3%
237 1
 
0.3%
Other values (345) 345
97.2%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
355 1
0.3%
354 1
0.3%
353 1
0.3%
352 1
0.3%
351 1
0.3%
350 1
0.3%
349 1
0.3%
348 1
0.3%
347 1
0.3%
346 1
0.3%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
전라북도
355 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라북도 355
100.0%

Length

2024-03-14T09:23:29.116455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:23:29.187997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라북도 355
100.0%

시군구
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
익산시
72 
전주시 완산구
70 
남원시
44 
전주시 덕진구
39 
군산시
31 
Other values (8)
99 

Length

Max length7
Median length3
Mean length4.228169
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row전주시 완산구
2nd row전주시 완산구
3rd row전주시 완산구
4th row전주시 완산구
5th row전주시 완산구

Common Values

ValueCountFrequency (%)
익산시 72
20.3%
전주시 완산구 70
19.7%
남원시 44
12.4%
전주시 덕진구 39
11.0%
군산시 31
8.7%
정읍시 29
8.2%
김제시 29
8.2%
완주군 19
 
5.4%
고창군 9
 
2.5%
부안군 8
 
2.3%
Other values (3) 5
 
1.4%

Length

2024-03-14T09:23:29.270698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주시 109
23.5%
익산시 72
15.5%
완산구 70
15.1%
남원시 44
9.5%
덕진구 39
 
8.4%
군산시 31
 
6.7%
정읍시 29
 
6.2%
김제시 29
 
6.2%
완주군 19
 
4.1%
고창군 9
 
1.9%
Other values (4) 13
 
2.8%

어린이집유형
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
가정
156 
민간
108 
국공립
38 
사회복지법인
28 
법인·단체등
24 

Length

Max length6
Median length2
Mean length2.6929577
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row가정
2nd row가정
3rd row법인·단체등
4th row가정
5th row가정

Common Values

ValueCountFrequency (%)
가정 156
43.9%
민간 108
30.4%
국공립 38
 
10.7%
사회복지법인 28
 
7.9%
법인·단체등 24
 
6.8%
직장 1
 
0.3%

Length

2024-03-14T09:23:29.394608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:23:29.485366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정 156
43.9%
민간 108
30.4%
국공립 38
 
10.7%
사회복지법인 28
 
7.9%
법인·단체등 24
 
6.8%
직장 1
 
0.3%

어린이집
Text

Distinct327
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-03-14T09:23:29.674724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length7.4112676
Min length6

Characters and Unicode

Total characters2631
Distinct characters290
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique303 ?
Unique (%)85.4%

Sample

1st row개구쟁이어린이집
2nd row고운엄마품어린이집
3rd row교동원광어린이집
4th row그린별어린이집
5th row꼬마숲나라어린이집
ValueCountFrequency (%)
어린이집 14
 
3.7%
솔로몬어린이집 3
 
0.8%
사과나무어린이집 3
 
0.8%
이화어린이집 3
 
0.8%
아이사랑어린이집 3
 
0.8%
은혜어린이집 2
 
0.5%
팅커벨어린이집 2
 
0.5%
꼬꼬마어린이집 2
 
0.5%
꿈별어린이집 2
 
0.5%
하늘숲어린이집 2
 
0.5%
Other values (323) 338
90.4%
2024-03-14T09:23:29.959958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 399
15.2%
린 358
 
13.6%
어 356
 
13.5%
집 355
 
13.5%
아 46
 
1.7%
나 31
 
1.2%
사 27
 
1.0%
마 25
 
1.0%
리 25
 
1.0%
꼬 22
 
0.8%
Other values (280) 987
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2604
99.0%
Space Separator 19
 
0.7%
Decimal Number 5
 
0.2%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 399
15.3%
린 358
 
13.7%
어 356
 
13.7%
집 355
 
13.6%
아 46
 
1.8%
나 31
 
1.2%
사 27
 
1.0%
마 25
 
1.0%
리 25
 
1.0%
꼬 22
 
0.8%
Other values (273) 960
36.9%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
4 2
40.0%
3 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
A 1
33.3%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2604
99.0%
Common 24
 
0.9%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 399
15.3%
린 358
 
13.7%
어 356
 
13.7%
집 355
 
13.6%
아 46
 
1.8%
나 31
 
1.2%
사 27
 
1.0%
마 25
 
1.0%
리 25
 
1.0%
꼬 22
 
0.8%
Other values (273) 960
36.9%
Common
ValueCountFrequency (%)
19
79.2%
2 2
 
8.3%
4 2
 
8.3%
3 1
 
4.2%
Latin
ValueCountFrequency (%)
C 1
33.3%
A 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2604
99.0%
ASCII 27
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 399
15.3%
린 358
 
13.7%
어 356
 
13.7%
집 355
 
13.6%
아 46
 
1.8%
나 31
 
1.2%
사 27
 
1.0%
마 25
 
1.0%
리 25
 
1.0%
꼬 22
 
0.8%
Other values (273) 960
36.9%
ASCII
ValueCountFrequency (%)
19
70.4%
2 2
 
7.4%
4 2
 
7.4%
C 1
 
3.7%
A 1
 
3.7%
B 1
 
3.7%
3 1
 
3.7%

통학차량 운영
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
운영(신고)
317 
미운영
38 

Length

Max length6
Median length6
Mean length5.6788732
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영(신고) 317
89.3%
미운영 38
 
10.7%

Length

2024-03-14T09:23:30.292553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:23:30.369403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영(신고 317
89.3%
미운영 38
 
10.7%

행정동
Text

Distinct102
Distinct (%)28.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-03-14T09:23:30.582455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.3521127
Min length2

Characters and Unicode

Total characters1190
Distinct characters100
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

Unique35 ?
Unique (%)9.9%

Sample

1st row삼천2동
2nd row효자3동
3rd row풍남동
4th row중화산2동
5th row서서학동
ValueCountFrequency (%)
도통동 21
 
5.9%
평화2동 14
 
3.9%
신풍동 12
 
3.4%
삼천3동 12
 
3.4%
봉동읍 11
 
3.1%
모현동 11
 
3.1%
어양동 10
 
2.8%
나운3동 9
 
2.5%
수성동 8
 
2.3%
검산동 8
 
2.3%
Other values (92) 239
67.3%
2024-03-14T09:23:30.984206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 318
26.7%
2 43
 
3.6%
읍 35
 
2.9%
1 33
 
2.8%
3 31
 
2.6%
화 29
 
2.4%
삼 29
 
2.4%
산 28
 
2.4%
천 27
 
2.3%
신 27
 
2.3%
Other values (90) 590
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1075
90.3%
Decimal Number 115
 
9.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 318
29.6%
읍 35
 
3.3%
화 29
 
2.7%
삼 29
 
2.7%
산 28
 
2.6%
천 27
 
2.5%
신 27
 
2.5%
면 25
 
2.3%
성 23
 
2.1%
통 21
 
2.0%
Other values (85) 513
47.7%
Decimal Number
ValueCountFrequency (%)
2 43
37.4%
1 33
28.7%
3 31
27.0%
4 5
 
4.3%
5 3
 
2.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1075
90.3%
Common 115
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 318
29.6%
읍 35
 
3.3%
화 29
 
2.7%
삼 29
 
2.7%
산 28
 
2.6%
천 27
 
2.5%
신 27
 
2.5%
면 25
 
2.3%
성 23
 
2.1%
통 21
 
2.0%
Other values (85) 513
47.7%
Common
ValueCountFrequency (%)
2 43
37.4%
1 33
28.7%
3 31
27.0%
4 5
 
4.3%
5 3
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1075
90.3%
ASCII 115
 
9.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 318
29.6%
읍 35
 
3.3%
화 29
 
2.7%
삼 29
 
2.7%
산 28
 
2.6%
천 27
 
2.5%
신 27
 
2.5%
면 25
 
2.3%
성 23
 
2.1%
통 21
 
2.0%
Other values (85) 513
47.7%
ASCII
ValueCountFrequency (%)
2 43
37.4%
1 33
28.7%
3 31
27.0%
4 5
 
4.3%
5 3
 
2.6%

우편번호
Real number (ℝ)

Distinct246
Distinct (%)69.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65431.172
Minimum54022
Maximum590759
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-03-14T09:23:31.178047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54022
5-th percentile54137.7
Q154611
median55018
Q355735
95-th percentile56321.6
Maximum590759
Range536737
Interquartile range (IQR)1124

Descriptive statistics

Standard deviation73143.259
Coefficient of variation (CV)1.1178656
Kurtosis46.460947
Mean65431.172
Median Absolute Deviation (MAD)455
Skewness6.9410597
Sum23228066
Variance5.3499363 × 109
MonotonicityNot monotonic
2024-03-14T09:23:31.301758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54659 7
 
2.0%
55086 7
 
2.0%
55087 5
 
1.4%
55319 5
 
1.4%
54544 4
 
1.1%
54144 4
 
1.1%
55755 4
 
1.1%
56173 4
 
1.1%
55756 4
 
1.1%
54378 3
 
0.8%
Other values (236) 308
86.8%
ValueCountFrequency (%)
54022 1
0.3%
54023 1
0.3%
54025 1
0.3%
54034 1
0.3%
54060 1
0.3%
54065 1
0.3%
54075 1
0.3%
54076 1
0.3%
54082 1
0.3%
54083 1
0.3%
ValueCountFrequency (%)
590759 2
0.6%
590070 1
0.3%
579805 1
0.3%
570760 1
0.3%
570092 1
0.3%
570010 1
0.3%
56468 1
0.3%
56443 1
0.3%
56438 1
0.3%
56434 1
0.3%

주소
Text

UNIQUE 

Distinct355
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-03-14T09:23:31.546826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length45
Mean length32.349296
Min length15

Characters and Unicode

Total characters11484
Distinct characters301
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

Unique355 ?
Unique (%)100.0%

Sample

1st row전라북도 전주시 완산구 하거마4길 16 (삼천동1가)
2nd row전라북도 전주시 완산구 거마평로 109 102동 101호(효자동1가, 제일효자)
3rd row전라북도 전주시 완산구 오목대길 76 (교동)
4th row전라북도 전주시 완산구 영경1길 25 103동 101호(중화산동2가, 우성근영타운)
5th row전라북도 전주시 완산구 흑석로 31 102동 103호(서서학동, 신용고궁맨션)
ValueCountFrequency (%)
전라북도 355
 
15.9%
전주시 109
 
4.9%
익산시 72
 
3.2%
완산구 70
 
3.1%
남원시 45
 
2.0%
덕진구 39
 
1.7%
군산시 31
 
1.4%
정읍시 30
 
1.3%
김제시 29
 
1.3%
102동 25
 
1.1%
Other values (888) 1427
63.9%
2024-03-14T09:23:31.922879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1880
 
16.4%
1 650
 
5.7%
동 497
 
4.3%
전 475
 
4.1%
도 377
 
3.3%
북 366
 
3.2%
0 362
 
3.2%
라 358
 
3.1%
시 339
 
3.0%
2 308
 
2.7%
Other values (291) 5872
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6687
58.2%
Decimal Number 2155
 
18.8%
Space Separator 1880
 
16.4%
Open Punctuation 253
 
2.2%
Close Punctuation 252
 
2.2%
Other Punctuation 158
 
1.4%
Dash Punctuation 93
 
0.8%
Uppercase Letter 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 497
 
7.4%
전 475
 
7.1%
도 377
 
5.6%
북 366
 
5.5%
라 358
 
5.4%
시 339
 
5.1%
산 250
 
3.7%
로 221
 
3.3%
길 180
 
2.7%
호 168
 
2.5%
Other values (271) 3456
51.7%
Decimal Number
ValueCountFrequency (%)
1 650
30.2%
0 362
16.8%
2 308
14.3%
3 213
 
9.9%
4 161
 
7.5%
5 141
 
6.5%
6 99
 
4.6%
7 82
 
3.8%
8 73
 
3.4%
9 66
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
A 2
33.3%
B 1
16.7%
C 1
16.7%
H 1
16.7%
L 1
16.7%
Space Separator
ValueCountFrequency (%)
1880
100.0%
Open Punctuation
ValueCountFrequency (%)
( 253
100.0%
Close Punctuation
ValueCountFrequency (%)
) 252
100.0%
Other Punctuation
ValueCountFrequency (%)
, 158
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 93
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6687
58.2%
Common 4791
41.7%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 497
 
7.4%
전 475
 
7.1%
도 377
 
5.6%
북 366
 
5.5%
라 358
 
5.4%
시 339
 
5.1%
산 250
 
3.7%
로 221
 
3.3%
길 180
 
2.7%
호 168
 
2.5%
Other values (271) 3456
51.7%
Common
ValueCountFrequency (%)
1880
39.2%
1 650
 
13.6%
0 362
 
7.6%
2 308
 
6.4%
( 253
 
5.3%
) 252
 
5.3%
3 213
 
4.4%
4 161
 
3.4%
, 158
 
3.3%
5 141
 
2.9%
Other values (5) 413
 
8.6%
Latin
ValueCountFrequency (%)
A 2
33.3%
B 1
16.7%
C 1
16.7%
H 1
16.7%
L 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6687
58.2%
ASCII 4797
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1880
39.2%
1 650
 
13.6%
0 362
 
7.5%
2 308
 
6.4%
( 253
 
5.3%
) 252
 
5.3%
3 213
 
4.4%
4 161
 
3.4%
, 158
 
3.3%
5 141
 
2.9%
Other values (10) 419
 
8.7%
Hangul
ValueCountFrequency (%)
동 497
 
7.4%
전 475
 
7.1%
도 377
 
5.6%
북 366
 
5.5%
라 358
 
5.4%
시 339
 
5.1%
산 250
 
3.7%
로 221
 
3.3%
길 180
 
2.7%
호 168
 
2.5%
Other values (271) 3456
51.7%

대표자
Text

Distinct334
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-03-14T09:23:32.228124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length3
Mean length3.0112676
Min length2

Characters and Unicode

Total characters1069
Distinct characters139
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

Unique320 ?
Unique (%)90.1%

Sample

1st row한진숙
2nd row박영아
3rd row한정순
4th row이순천
5th row김영희
ValueCountFrequency (%)
한정순 5
 
1.4%
유화영 4
 
1.1%
김미정 3
 
0.8%
오은균 3
 
0.8%
김은희 2
 
0.6%
김미선 2
 
0.6%
김경희 2
 
0.6%
김선숙 2
 
0.6%
김기철 2
 
0.6%
한승호 2
 
0.6%
Other values (325) 329
92.4%
2024-03-14T09:23:32.606257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 75
 
7.0%
이 58
 
5.4%
정 50
 
4.7%
미 45
 
4.2%
영 41
 
3.8%
숙 39
 
3.6%
희 31
 
2.9%
은 27
 
2.5%
경 27
 
2.5%
박 26
 
2.4%
Other values (129) 650
60.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1068
99.9%
Space Separator 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 75
 
7.0%
이 58
 
5.4%
정 50
 
4.7%
미 45
 
4.2%
영 41
 
3.8%
숙 39
 
3.7%
희 31
 
2.9%
은 27
 
2.5%
경 27
 
2.5%
박 26
 
2.4%
Other values (128) 649
60.8%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1068
99.9%
Common 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 75
 
7.0%
이 58
 
5.4%
정 50
 
4.7%
미 45
 
4.2%
영 41
 
3.8%
숙 39
 
3.7%
희 31
 
2.9%
은 27
 
2.5%
경 27
 
2.5%
박 26
 
2.4%
Other values (128) 649
60.8%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1068
99.9%
ASCII 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 75
 
7.0%
이 58
 
5.4%
정 50
 
4.7%
미 45
 
4.2%
영 41
 
3.8%
숙 39
 
3.7%
희 31
 
2.9%
은 27
 
2.5%
경 27
 
2.5%
박 26
 
2.4%
Other values (128) 649
60.8%
ASCII
ValueCountFrequency (%)
1
100.0%

원장
Text

Distinct341
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-03-14T09:23:32.880308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9746479
Min length2

Characters and Unicode

Total characters1056
Distinct characters127
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

Unique329 ?
Unique (%)92.7%

Sample

1st row한진숙
2nd row박영아
3rd row송선화
4th row이순천
5th row김영희
ValueCountFrequency (%)
김경숙 3
 
0.8%
김미정 3
 
0.8%
김정희 2
 
0.6%
김선화 2
 
0.6%
김경희 2
 
0.6%
이지은 2
 
0.6%
김영미 2
 
0.6%
김선영 2
 
0.6%
박미란 2
 
0.6%
김영희 2
 
0.6%
Other values (331) 333
93.8%
2024-03-14T09:23:33.322556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 74
 
7.0%
이 59
 
5.6%
미 58
 
5.5%
정 58
 
5.5%
숙 40
 
3.8%
영 35
 
3.3%
은 32
 
3.0%
희 29
 
2.7%
경 29
 
2.7%
현 27
 
2.6%
Other values (117) 615
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1056
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 74
 
7.0%
이 59
 
5.6%
미 58
 
5.5%
정 58
 
5.5%
숙 40
 
3.8%
영 35
 
3.3%
은 32
 
3.0%
희 29
 
2.7%
경 29
 
2.7%
현 27
 
2.6%
Other values (117) 615
58.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1056
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 74
 
7.0%
이 59
 
5.6%
미 58
 
5.5%
정 58
 
5.5%
숙 40
 
3.8%
영 35
 
3.3%
은 32
 
3.0%
희 29
 
2.7%
경 29
 
2.7%
현 27
 
2.6%
Other values (117) 615
58.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1056
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 74
 
7.0%
이 59
 
5.6%
미 58
 
5.5%
정 58
 
5.5%
숙 40
 
3.8%
영 35
 
3.3%
은 32
 
3.0%
희 29
 
2.7%
경 29
 
2.7%
현 27
 
2.6%
Other values (117) 615
58.2%

정부지원
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
미지원
264 
지원
91 

Length

Max length3
Median length3
Mean length2.743662
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미지원
2nd row미지원
3rd row지원
4th row미지원
5th row미지원

Common Values

ValueCountFrequency (%)
미지원 264
74.4%
지원 91
 
25.6%

Length

2024-03-14T09:23:33.463520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:23:33.545952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미지원 264
74.4%
지원 91
 
25.6%

어린이집특성
Categorical

IMBALANCE 

Distinct12
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
시간연장형
317 
방과후 통합,시간연장형
 
11
시간연장형,시간제보육
 
7
영아전담,시간연장형
 
6
장애아통합,시간연장형
 
6
Other values (7)
 
8

Length

Max length27
Median length5
Mean length5.7802817
Min length5

Unique

Unique6 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
시간연장형 317
89.3%
방과후 통합,시간연장형 11
 
3.1%
시간연장형,시간제보육 7
 
2.0%
영아전담,시간연장형 6
 
1.7%
장애아통합,시간연장형 6
 
1.7%
시간연장형,24시간 2
 
0.6%
방과후 통합,시간연장형,휴일보육,시간제보육 1
 
0.3%
방과후 통합,시간연장형,시간제보육 1
 
0.3%
시간연장형,휴일보육 1
 
0.3%
장애아통합,시간연장형,휴일보육 1
 
0.3%
Other values (2) 2
 
0.6%

Length

2024-03-14T09:23:33.627031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
시간연장형 317
85.9%
방과후 13
 
3.5%
통합,시간연장형 12
 
3.3%
시간연장형,시간제보육 7
 
1.9%
영아전담,시간연장형 6
 
1.6%
장애아통합,시간연장형 6
 
1.6%
시간연장형,24시간 2
 
0.5%
통합,시간연장형,휴일보육,시간제보육 1
 
0.3%
통합,시간연장형,시간제보육 1
 
0.3%
시간연장형,휴일보육 1
 
0.3%
Other values (3) 3
 
0.8%

평가인증여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size487.0 B
True
337 
False
 
18
ValueCountFrequency (%)
True 337
94.9%
False 18
 
5.1%
2024-03-14T09:23:33.704983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

평가인증일
Date

MISSING 

Distinct49
Distinct (%)14.2%
Missing10
Missing (%)2.8%
Memory size2.9 KiB
Minimum2015-09-01 00:00:00
Maximum2019-10-15 00:00:00
2024-03-14T09:23:33.789850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:23:33.914159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)

정원
Real number (ℝ)

HIGH CORRELATION 

Distinct93
Distinct (%)26.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.104225
Minimum10
Maximum244
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-03-14T09:23:34.020148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile13
Q119
median30
Q375
95-th percentile99
Maximum244
Range234
Interquartile range (IQR)56

Descriptive statistics

Standard deviation36.702851
Coefficient of variation (CV)0.77918384
Kurtosis2.7191965
Mean47.104225
Median Absolute Deviation (MAD)16
Skewness1.4156837
Sum16722
Variance1347.0993
MonotonicityNot monotonic
2024-03-14T09:23:34.127536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 54
 
15.2%
19 44
 
12.4%
99 20
 
5.6%
13 18
 
5.1%
49 11
 
3.1%
17 9
 
2.5%
16 8
 
2.3%
14 7
 
2.0%
45 7
 
2.0%
18 6
 
1.7%
Other values (83) 171
48.2%
ValueCountFrequency (%)
10 1
 
0.3%
11 6
 
1.7%
12 1
 
0.3%
13 18
5.1%
14 7
 
2.0%
15 3
 
0.8%
16 8
 
2.3%
17 9
 
2.5%
18 6
 
1.7%
19 44
12.4%
ValueCountFrequency (%)
244 1
0.3%
199 1
0.3%
164 1
0.3%
163 1
0.3%
161 1
0.3%
160 1
0.3%
157 1
0.3%
139 1
0.3%
137 1
0.3%
134 1
0.3%

아동현원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct91
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.808451
Minimum0
Maximum163
Zeros5
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-03-14T09:23:34.243021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q113
median19
Q346
95-th percentile86.3
Maximum163
Range163
Interquartile range (IQR)33

Descriptive statistics

Standard deviation28.812023
Coefficient of variation (CV)0.87818909
Kurtosis3.14843
Mean32.808451
Median Absolute Deviation (MAD)10
Skewness1.6371371
Sum11647
Variance830.1327
MonotonicityNot monotonic
2024-03-14T09:23:34.381031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 19
 
5.4%
13 18
 
5.1%
14 17
 
4.8%
10 16
 
4.5%
18 12
 
3.4%
17 12
 
3.4%
16 12
 
3.4%
12 12
 
3.4%
11 11
 
3.1%
19 10
 
2.8%
Other values (81) 216
60.8%
ValueCountFrequency (%)
0 5
 
1.4%
1 1
 
0.3%
4 3
 
0.8%
5 7
2.0%
6 6
 
1.7%
7 5
 
1.4%
8 6
 
1.7%
9 9
2.5%
10 16
4.5%
11 11
3.1%
ValueCountFrequency (%)
163 1
0.3%
160 1
0.3%
154 1
0.3%
145 1
0.3%
132 1
0.3%
131 1
0.3%
109 1
0.3%
100 1
0.3%
99 2
0.6%
97 2
0.6%

보육교직원현원
Real number (ℝ)

HIGH CORRELATION 

Distinct26
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.7464789
Minimum1
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-03-14T09:23:34.484135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median7
Q312
95-th percentile17.3
Maximum33
Range32
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.7315455
Coefficient of variation (CV)0.54096575
Kurtosis2.2279679
Mean8.7464789
Median Absolute Deviation (MAD)2
Skewness1.2317231
Sum3105
Variance22.387523
MonotonicityNot monotonic
2024-03-14T09:23:34.572758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
5 58
16.3%
6 49
13.8%
7 32
9.0%
8 29
 
8.2%
9 23
 
6.5%
13 23
 
6.5%
4 20
 
5.6%
12 19
 
5.4%
14 14
 
3.9%
10 13
 
3.7%
Other values (16) 75
21.1%
ValueCountFrequency (%)
1 6
 
1.7%
2 3
 
0.8%
3 13
 
3.7%
4 20
 
5.6%
5 58
16.3%
6 49
13.8%
7 32
9.0%
8 29
8.2%
9 23
 
6.5%
10 13
 
3.7%
ValueCountFrequency (%)
33 1
 
0.3%
26 1
 
0.3%
25 1
 
0.3%
24 1
 
0.3%
22 2
 
0.6%
21 2
 
0.6%
20 2
 
0.6%
19 5
1.4%
18 3
0.8%
17 3
0.8%

건물소유형태
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
자가
295 
월세
44 
전세
 
16

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자가 295
83.1%
월세 44
 
12.4%
전세 16
 
4.5%

Length

2024-03-14T09:23:34.668367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:23:34.767966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자가 295
83.1%
월세 44
 
12.4%
전세 16
 
4.5%

전화번호
Text

UNIQUE 

Distinct355
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-03-14T09:23:34.957229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.002817
Min length12

Characters and Unicode

Total characters4261
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

Unique355 ?
Unique (%)100.0%

Sample

1st row063-226-4352
2nd row063-227-4888
3rd row063-285-3158
4th row063-223-4558
5th row063-902-6863
ValueCountFrequency (%)
063-226-4352 1
 
0.3%
063-836-1884 1
 
0.3%
063-625-7179 1
 
0.3%
063-632-8498 1
 
0.3%
063-538-2091 1
 
0.3%
063-537-2735 1
 
0.3%
063-537-7179 1
 
0.3%
063-533-0188 1
 
0.3%
063-539-5155 1
 
0.3%
063-571-8780 1
 
0.3%
Other values (345) 345
97.2%
2024-03-14T09:23:35.281025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 710
16.7%
3 645
15.1%
6 594
13.9%
0 550
12.9%
2 390
9.2%
5 321
7.5%
8 243
 
5.7%
4 241
 
5.7%
1 210
 
4.9%
7 201
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3551
83.3%
Dash Punctuation 710
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 645
18.2%
6 594
16.7%
0 550
15.5%
2 390
11.0%
5 321
9.0%
8 243
 
6.8%
4 241
 
6.8%
1 210
 
5.9%
7 201
 
5.7%
9 156
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 710
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4261
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 710
16.7%
3 645
15.1%
6 594
13.9%
0 550
12.9%
2 390
9.2%
5 321
7.5%
8 243
 
5.7%
4 241
 
5.7%
1 210
 
4.9%
7 201
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4261
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 710
16.7%
3 645
15.1%
6 594
13.9%
0 550
12.9%
2 390
9.2%
5 321
7.5%
8 243
 
5.7%
4 241
 
5.7%
1 210
 
4.9%
7 201
 
4.7%

Interactions

2024-03-14T09:23:27.976835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:23:26.324475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:23:26.835477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:23:27.235203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:23:27.584243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:23:28.062430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:23:26.476531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:23:26.938865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:23:27.308843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:23:27.657429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:23:28.130111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:23:26.559669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:23:27.016602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:23:27.381554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:23:27.727099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:23:28.195058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:23:26.636648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:23:27.084035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:23:27.443907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:23:27.795550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:23:28.269402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:23:26.738426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:23:27.158157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:23:27.515437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:23:27.871162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T09:23:35.411249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
No시군구어린이집유형통학차량 운영우편번호정부지원어린이집특성평가인증여부평가인증일정원아동현원보육교직원현원건물소유형태
No1.0000.9530.2250.1320.1630.2100.1870.0000.0740.1430.1090.2080.000
시군구0.9531.0000.3440.0000.1210.2310.6850.0000.2430.1240.0000.1060.084
어린이집유형0.2250.3441.0000.3640.0311.0000.4390.1470.0000.6540.6280.6160.351
통학차량\n운영0.1320.0000.3641.0000.0000.0000.0000.0000.0000.1520.1610.1100.042
우편번호0.1630.1210.0310.0001.0000.0000.0000.0000.0000.0000.0000.0960.000
정부지원0.2100.2311.0000.0000.0001.0000.4270.0510.3630.5400.4760.5100.113
어린이집특성0.1870.6850.4390.0000.0000.4271.0000.0000.0000.6710.4780.6960.000
평가인증여부0.0000.0000.1470.0000.0000.0510.0001.0000.6550.2230.1700.1660.078
평가인증일0.0740.2430.0000.0000.0000.3630.0000.6551.0000.0000.0000.0000.522
정원0.1430.1240.6540.1520.0000.5400.6710.2230.0001.0000.9240.9220.133
아동현원0.1090.0000.6280.1610.0000.4760.4780.1700.0000.9241.0000.9270.205
보육교직원현원0.2080.1060.6160.1100.0960.5100.6960.1660.0000.9220.9271.0000.213
건물소유형태0.0000.0840.3510.0420.0000.1130.0000.0780.5220.1330.2050.2131.000
2024-03-14T09:23:35.572101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
평가인증여부통학차량 운영어린이집유형시군구건물소유형태어린이집특성정부지원
평가인증여부1.0000.0000.1050.0000.1290.0000.032
통학차량\n운영0.0001.0000.2600.0000.0690.0000.000
어린이집유형0.1050.2601.0000.1760.1550.1850.987
시군구0.0000.0000.1761.0000.0450.3410.211
건물소유형태0.1290.0690.1550.0451.0000.0000.187
어린이집특성0.0000.0000.1850.3410.0001.0000.328
정부지원0.0320.0000.9870.2110.1870.3281.000
2024-03-14T09:23:35.687170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
No우편번호정원아동현원보육교직원현원시군구어린이집유형통학차량 운영정부지원어린이집특성평가인증여부건물소유형태
No1.0000.2720.2090.1700.1830.8160.1190.1000.1590.0780.0000.000
우편번호0.2721.0000.0900.018-0.0070.1110.0200.0000.0000.0000.0000.000
정원0.2090.0901.0000.8690.8120.0520.3930.1500.5370.3600.2200.057
아동현원0.1700.0180.8691.0000.9250.0000.3700.1590.4720.2240.1680.090
보육교직원현원0.183-0.0070.8120.9251.0000.0580.3530.1090.4910.3870.1680.097
시군구0.8160.1110.0520.0000.0581.0000.1760.0000.2110.3410.0000.045
어린이집유형0.1190.0200.3930.3700.3530.1761.0000.2600.9870.1850.1050.155
통학차량\n운영0.1000.0000.1500.1590.1090.0000.2601.0000.0000.0000.0000.069
정부지원0.1590.0000.5370.4720.4910.2110.9870.0001.0000.3280.0320.187
어린이집특성0.0780.0000.3600.2240.3870.3410.1850.0000.3281.0000.0000.000
평가인증여부0.0000.0000.2200.1680.1680.0000.1050.0000.0320.0001.0000.129
건물소유형태0.0000.0000.0570.0900.0970.0450.1550.0690.1870.0000.1291.000

Missing values

2024-03-14T09:23:28.382410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T09:23:28.636849image/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

No시도시군구어린이집유형어린이집통학차량 운영행정동우편번호주소대표자원장정부지원어린이집특성평가인증여부평가인증일정원아동현원보육교직원현원건물소유형태전화번호
01전라북도전주시 완산구가정개구쟁이어린이집운영(신고)삼천2동55088전라북도 전주시 완산구 하거마4길 16 (삼천동1가)한진숙한진숙미지원시간연장형Y2017.01.1520114자가063-226-4352
12전라북도전주시 완산구가정고운엄마품어린이집미운영효자3동55085전라북도 전주시 완산구 거마평로 109 102동 101호(효자동1가, 제일효자)박영아박영아미지원시간연장형Y2016.04.0113136자가063-227-4888
23전라북도전주시 완산구법인·단체등교동원광어린이집운영(신고)풍남동55044전라북도 전주시 완산구 오목대길 76 (교동)한정순송선화지원시간연장형Y2017.01.01785411자가063-285-3158
34전라북도전주시 완산구가정그린별어린이집운영(신고)중화산2동54984전라북도 전주시 완산구 영경1길 25 103동 101호(중화산동2가, 우성근영타운)이순천이순천미지원시간연장형Y2018.03.1520186자가063-223-4558
45전라북도전주시 완산구가정꼬마숲나라어린이집운영(신고)서서학동55114전라북도 전주시 완산구 흑석로 31 102동 103호(서서학동, 신용고궁맨션)김영희김영희미지원시간연장형Y2018.11.151943자가063-902-6863
56전라북도전주시 완산구민간꿈나래어린이집미운영서신동54954전라북도 전주시 완산구 전룡5길 24-14 (서신동)양은주양은주미지원시간연장형N<NA>3374월세063-251-6696
67전라북도전주시 완산구가정꿈샘어린이집운영(신고)평화1동55120전라북도 전주시 완산구 덕적골1길 33 103동 106호(평화동1가, 한성)이형순이형순미지원시간연장형Y2016.11.0118176자가063-901-6552
78전라북도전주시 완산구가정꿈오름 어린이집운영(신고)삼천2동55092전라북도 전주시 완산구 솟대로 10 5동 108호(삼천동1가, 우성아파트)박미란박미란미지원시간연장형Y2017.04.011474자가063-227-1945
89전라북도전주시 완산구민간늘픔어린이집운영(신고)중화산2동54984전라북도 전주시 완산구 어은로 33-3 (중화산동2가)전혜경전혜경미지원시간연장형Y2016.09.01676413자가063-227-9397
910전라북도전주시 완산구가정도담아이어린이집운영(신고)삼천3동55086전라북도 전주시 완산구 삼천천변1길 45 201동 103호(삼천동1가, 흥건)안주연안주연미지원시간연장형Y2018.10.1520105자가063-228-1239
No시도시군구어린이집유형어린이집통학차량 운영행정동우편번호주소대표자원장정부지원어린이집특성평가인증여부평가인증일정원아동현원보육교직원현원건물소유형태전화번호
345346전라북도고창군민간푸른어린이집운영(신고)고창읍56434전라북도 고창군 고창읍 보릿골로 195-9김숙현김숙현미지원시간연장형N2018.01.152901자가063-564-1866
346347전라북도고창군가정해바라기어린이집운영(신고)고창읍56429전라북도 고창군 월곡로 83 102동 105호(월곡제일)김미선김미선미지원시간연장형Y2015.11.0120155자가063-562-1003
347348전라북도부안군법인·단체등백산교회부설샬롬어린이집운영(신고)백산면56321전라북도 부안군 백산면 시기길 18안세원안미경지원시간연장형Y2018.07.1555136자가063-581-1513
348349전라북도부안군가정아기별어린이집운영(신고)부안읍56309전라북도 부안군 부안읍 부풍로 26은미경은미경미지원시간연장형Y2016.09.0120175월세063-584-0579
349350전라북도부안군민간언덕위어린이집운영(신고)부안읍56304전라북도 부안군 부안읍 석정로 49-6장종순장종순미지원시간연장형Y2018.03.15837013자가063-581-2595
350351전라북도부안군국공립자연보물어린이집운영(신고)부안읍56318전라북도 부안군 부안읍 봉두길 52부안군수이연의지원시간연장형Y2018.04.1567499자가063-584-8778
351352전라북도부안군민간하늘숲어린이집운영(신고)부안읍56304전라북도 부안군 부안읍 선은2길 2-1 하늘숲어린이집박경식김형곤미지원방과후 통합,시간연장형Y2016.08.01877013자가063-581-5599
352353전라북도부안군가정하얀어린이집운영(신고)부안읍579805전라북도 부안군 부안읍 오리정로 172 하이안아파트 101동 109호이미정이미정미지원시간연장형Y2018.07.1520106자가063-582-2777
353354전라북도부안군민간함께하는어린이집운영(신고)백산면56323전라북도 부안군 백산면 임현로 8강순희이명안미지원시간연장형,시간제보육Y2016.11.0123107월세063-582-0391
354355전라북도부안군민간해랑어린이집운영(신고)변산면56337전라북도 부안군 변산면 격포윗길 7박명진이창수미지원시간연장형Y2016.12.01995510월세063-582-2879