Overview

Dataset statistics

Number of variables24
Number of observations63
Missing cells2
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.7 KiB
Average record size in memory207.0 B

Variable types

Categorical7
Text5
Numeric11
Boolean1

Dataset

Description본 공공데이터는 완주군 관내에 위치한 어린이집에 관한 데이터로 어린이집 이름, 어린이집 유형, 정부지원 여부 등의 정보를 제공합니다.
Author전라북도 완주군
URLhttps://www.data.go.kr/data/15086770/fileData.do

Alerts

시군구 has constant value ""Constant
6세 has constant value ""Constant
7세이상 has constant value ""Constant
도시규모 is highly imbalanced (88.2%)Imbalance
평가인증 is highly imbalanced (60.0%)Imbalance
전화번호 has 1 (1.6%) missing valuesMissing
우편번호 has 1 (1.6%) missing valuesMissing
어린이집명 has unique valuesUnique
주소 has unique valuesUnique
충족률 has 1 (1.6%) zerosZeros
연령별현원 has 1 (1.6%) zerosZeros
0세 has 12 (19.0%) zerosZeros
1세 has 5 (7.9%) zerosZeros
2세 has 2 (3.2%) zerosZeros
3세 has 29 (46.0%) zerosZeros
4세 has 34 (54.0%) zerosZeros
5세 has 33 (52.4%) zerosZeros
보육교직원현황 has 1 (1.6%) zerosZeros

Reproduction

Analysis started2024-03-14 22:59:28.319614
Analysis finished2024-03-14 22:59:29.007335
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size632.0 B
완주군
63 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
완주군 63
100.0%

Length

2024-03-15T07:59:29.130333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:59:29.337921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
완주군 63
100.0%

행정동
Categorical

Distinct10
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Memory size632.0 B
봉동읍
23 
삼례읍
13 
이서면
10 
용진읍
7 
상관면
4 
Other values (5)
6 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique4 ?
Unique (%)6.3%

Sample

1st row고산면
2nd row구이면
3rd row구이면
4th row동상면
5th row봉동읍

Common Values

ValueCountFrequency (%)
봉동읍 23
36.5%
삼례읍 13
20.6%
이서면 10
15.9%
용진읍 7
 
11.1%
상관면 4
 
6.3%
구이면 2
 
3.2%
고산면 1
 
1.6%
동상면 1
 
1.6%
소양면 1
 
1.6%
화산면 1
 
1.6%

Length

2024-03-15T07:59:29.762103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:59:30.199535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
봉동읍 23
36.5%
삼례읍 13
20.6%
이서면 10
15.9%
용진읍 7
 
11.1%
상관면 4
 
6.3%
구이면 2
 
3.2%
고산면 1
 
1.6%
동상면 1
 
1.6%
소양면 1
 
1.6%
화산면 1
 
1.6%

어린이집유형
Categorical

Distinct6
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size632.0 B
민간
19 
국공립
14 
사회복지법인
13 
가정
9 
법인, 단체등
5 

Length

Max length7
Median length6
Mean length3.4444444
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사회복지법인
2nd row법인, 단체등
3rd row사회복지법인
4th row국공립
5th row직장

Common Values

ValueCountFrequency (%)
민간 19
30.2%
국공립 14
22.2%
사회복지법인 13
20.6%
가정 9
14.3%
법인, 단체등 5
 
7.9%
직장 3
 
4.8%

Length

2024-03-15T07:59:30.806918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:59:31.173646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간 19
27.9%
국공립 14
20.6%
사회복지법인 13
19.1%
가정 9
13.2%
법인 5
 
7.4%
단체등 5
 
7.4%
직장 3
 
4.4%

어린이집명
Text

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size632.0 B
2024-03-15T07:59:32.494571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length7.5238095
Min length6

Characters and Unicode

Total characters474
Distinct characters117
Distinct categories3 ?
Distinct scripts3 ?
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 row고산어린이집
2nd row구암어린이집
3rd row구이어린이집
4th row동상하나어린이집
5th rowLS엠트론어린이집
ValueCountFrequency (%)
고산어린이집 1
 
1.5%
웃음꽃피는어린이집 1
 
1.5%
우리아이어린이집 1
 
1.5%
우미키즈어린이집 1
 
1.5%
우석대 1
 
1.5%
부설 1
 
1.5%
보육교사교육원어린이집 1
 
1.5%
참사랑어린이집 1
 
1.5%
한별어린이집 1
 
1.5%
미소어린이집 1
 
1.5%
Other values (55) 55
84.6%
2024-03-15T07:59:33.952508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 70
 
14.8%
어 63
 
13.3%
린 63
 
13.3%
집 63
 
13.3%
아 8
 
1.7%
산 7
 
1.5%
나 6
 
1.3%
사 6
 
1.3%
동 5
 
1.1%
대 4
 
0.8%
Other values (107) 179
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 470
99.2%
Space Separator 2
 
0.4%
Uppercase Letter 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 70
 
14.9%
어 63
 
13.4%
린 63
 
13.4%
집 63
 
13.4%
아 8
 
1.7%
산 7
 
1.5%
나 6
 
1.3%
사 6
 
1.3%
동 5
 
1.1%
대 4
 
0.9%
Other values (104) 175
37.2%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
L 1
50.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 470
99.2%
Common 2
 
0.4%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 70
 
14.9%
어 63
 
13.4%
린 63
 
13.4%
집 63
 
13.4%
아 8
 
1.7%
산 7
 
1.5%
나 6
 
1.3%
사 6
 
1.3%
동 5
 
1.1%
대 4
 
0.9%
Other values (104) 175
37.2%
Latin
ValueCountFrequency (%)
S 1
50.0%
L 1
50.0%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 470
99.2%
ASCII 4
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 70
 
14.9%
어 63
 
13.4%
린 63
 
13.4%
집 63
 
13.4%
아 8
 
1.7%
산 7
 
1.5%
나 6
 
1.3%
사 6
 
1.3%
동 5
 
1.1%
대 4
 
0.9%
Other values (104) 175
37.2%
ASCII
ValueCountFrequency (%)
2
50.0%
S 1
25.0%
L 1
25.0%

도시규모
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size632.0 B
농어촌
62 
김윤희
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
농어촌 62
98.4%
김윤희 1
 
1.6%

Length

2024-03-15T07:59:34.236467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:59:34.534656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농어촌 62
98.4%
김윤희 1
 
1.6%

원장
Text

Distinct62
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size632.0 B
2024-03-15T07:59:35.449897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9365079
Min length2

Characters and Unicode

Total characters185
Distinct characters66
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

Unique61 ?
Unique (%)96.8%

Sample

1st row이소영
2nd row고은애
3rd row홍선
4th row윤순옥
5th row이남이
ValueCountFrequency (%)
이은미 2
 
3.2%
권정애 1
 
1.6%
이미란 1
 
1.6%
박미원 1
 
1.6%
이희정 1
 
1.6%
이영 1
 
1.6%
허정 1
 
1.6%
김한경 1
 
1.6%
송나경 1
 
1.6%
김나나 1
 
1.6%
Other values (52) 52
82.5%
2024-03-15T07:59:36.780107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 16
 
8.6%
정 12
 
6.5%
김 11
 
5.9%
영 10
 
5.4%
미 9
 
4.9%
은 8
 
4.3%
희 7
 
3.8%
경 6
 
3.2%
윤 6
 
3.2%
최 5
 
2.7%
Other values (56) 95
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 185
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 16
 
8.6%
정 12
 
6.5%
김 11
 
5.9%
영 10
 
5.4%
미 9
 
4.9%
은 8
 
4.3%
희 7
 
3.8%
경 6
 
3.2%
윤 6
 
3.2%
최 5
 
2.7%
Other values (56) 95
51.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 185
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 16
 
8.6%
정 12
 
6.5%
김 11
 
5.9%
영 10
 
5.4%
미 9
 
4.9%
은 8
 
4.3%
희 7
 
3.8%
경 6
 
3.2%
윤 6
 
3.2%
최 5
 
2.7%
Other values (56) 95
51.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 185
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 16
 
8.6%
정 12
 
6.5%
김 11
 
5.9%
영 10
 
5.4%
미 9
 
4.9%
은 8
 
4.3%
희 7
 
3.8%
경 6
 
3.2%
윤 6
 
3.2%
최 5
 
2.7%
Other values (56) 95
51.4%

대표자
Text

Distinct48
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Memory size632.0 B
2024-03-15T07:59:37.641880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length3
Mean length3.6666667
Min length2

Characters and Unicode

Total characters231
Distinct characters85
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)71.4%

Sample

1st rowLS엠트론 사업장의 사업주
2nd row고은애
3rd row홍선
4th row윤순옥
5th row송영배
ValueCountFrequency (%)
완주군수 14
 
21.2%
사업주 2
 
3.0%
윤광수 2
 
3.0%
김정자 2
 
3.0%
한국식품연구원대표 1
 
1.5%
권정애 1
 
1.5%
최시온 1
 
1.5%
ls엠트론 1
 
1.5%
사업장의 1
 
1.5%
오세현 1
 
1.5%
Other values (40) 40
60.6%
2024-03-15T07:59:38.904893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 20
 
8.7%
수 18
 
7.8%
완 14
 
6.1%
군 14
 
6.1%
김 8
 
3.5%
영 7
 
3.0%
정 7
 
3.0%
나 6
 
2.6%
최 6
 
2.6%
자 5
 
2.2%
Other values (75) 126
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 224
97.0%
Space Separator 3
 
1.3%
Uppercase Letter 2
 
0.9%
Open Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 20
 
8.9%
수 18
 
8.0%
완 14
 
6.2%
군 14
 
6.2%
김 8
 
3.6%
영 7
 
3.1%
정 7
 
3.1%
나 6
 
2.7%
최 6
 
2.7%
자 5
 
2.2%
Other values (70) 119
53.1%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 224
97.0%
Common 5
 
2.2%
Latin 2
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 20
 
8.9%
수 18
 
8.0%
완 14
 
6.2%
군 14
 
6.2%
김 8
 
3.6%
영 7
 
3.1%
정 7
 
3.1%
나 6
 
2.7%
최 6
 
2.7%
자 5
 
2.2%
Other values (70) 119
53.1%
Common
ValueCountFrequency (%)
3
60.0%
( 1
 
20.0%
) 1
 
20.0%
Latin
ValueCountFrequency (%)
L 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 224
97.0%
ASCII 7
 
3.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 20
 
8.9%
수 18
 
8.0%
완 14
 
6.2%
군 14
 
6.2%
김 8
 
3.6%
영 7
 
3.1%
정 7
 
3.1%
나 6
 
2.7%
최 6
 
2.7%
자 5
 
2.2%
Other values (70) 119
53.1%
ASCII
ValueCountFrequency (%)
3
42.9%
( 1
 
14.3%
) 1
 
14.3%
L 1
 
14.3%
S 1
 
14.3%

위탁여부
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size632.0 B
직영
47 
위탁
16 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row위탁
2nd row직영
3rd row직영
4th row직영
5th row직영

Common Values

ValueCountFrequency (%)
직영 47
74.6%
위탁 16
 
25.4%

Length

2024-03-15T07:59:39.305587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:59:39.575834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
직영 47
74.6%
위탁 16
 
25.4%

정원
Real number (ℝ)

Distinct39
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.285714
Minimum16
Maximum159
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-15T07:59:39.895510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile20
Q123.5
median39
Q361.5
95-th percentile98.7
Maximum159
Range143
Interquartile range (IQR)38

Descriptive statistics

Standard deviation30.023877
Coefficient of variation (CV)0.59706573
Kurtosis2.1857223
Mean50.285714
Median Absolute Deviation (MAD)19
Skewness1.3553485
Sum3168
Variance901.43318
MonotonicityNot monotonic
2024-03-15T07:59:40.331749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
20 9
 
14.3%
39 8
 
12.7%
60 3
 
4.8%
21 3
 
4.8%
36 2
 
3.2%
49 2
 
3.2%
22 2
 
3.2%
58 2
 
3.2%
38 2
 
3.2%
91 1
 
1.6%
Other values (29) 29
46.0%
ValueCountFrequency (%)
16 1
 
1.6%
19 1
 
1.6%
20 9
14.3%
21 3
 
4.8%
22 2
 
3.2%
25 1
 
1.6%
29 1
 
1.6%
30 1
 
1.6%
35 1
 
1.6%
36 2
 
3.2%
ValueCountFrequency (%)
159 1
1.6%
130 1
1.6%
124 1
1.6%
99 1
1.6%
96 1
1.6%
91 1
1.6%
86 1
1.6%
85 1
1.6%
84 1
1.6%
82 1
1.6%

충족률
Real number (ℝ)

ZEROS 

Distinct58
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.560317
Minimum0
Maximum100
Zeros1
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-15T07:59:40.772793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16.2
Q146.2
median66.7
Q384.55
95-th percentile98.73
Maximum100
Range100
Interquartile range (IQR)38.35

Descriptive statistics

Standard deviation26.730245
Coefficient of variation (CV)0.42054926
Kurtosis-0.71292895
Mean63.560317
Median Absolute Deviation (MAD)19.5
Skewness-0.48097612
Sum4004.3
Variance714.50598
MonotonicityNot monotonic
2024-03-15T07:59:41.293070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 3
 
4.8%
97.4 2
 
3.2%
95.0 2
 
3.2%
89.7 2
 
3.2%
84.1 1
 
1.6%
70.7 1
 
1.6%
20.1 1
 
1.6%
68.3 1
 
1.6%
63.9 1
 
1.6%
28.6 1
 
1.6%
Other values (48) 48
76.2%
ValueCountFrequency (%)
0.0 1
1.6%
12.8 1
1.6%
15.0 1
1.6%
16.1 1
1.6%
17.1 1
1.6%
20.1 1
1.6%
22.4 1
1.6%
28.2 1
1.6%
28.6 1
1.6%
31.6 1
1.6%
ValueCountFrequency (%)
100.0 3
4.8%
98.8 1
 
1.6%
98.1 1
 
1.6%
97.8 1
 
1.6%
97.4 2
3.2%
95.0 2
3.2%
93.1 1
 
1.6%
90.5 1
 
1.6%
90.0 1
 
1.6%
89.7 2
3.2%

연령별현원
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.634921
Minimum0
Maximum84
Zeros1
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-15T07:59:41.541955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.4
Q117
median28
Q338
95-th percentile56.7
Maximum84
Range84
Interquartile range (IQR)21

Descriptive statistics

Standard deviation17.639126
Coefficient of variation (CV)0.59521421
Kurtosis1.021919
Mean29.634921
Median Absolute Deviation (MAD)11
Skewness0.91779058
Sum1867
Variance311.13876
MonotonicityNot monotonic
2024-03-15T07:59:41.849676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
20 6
 
9.5%
32 4
 
6.3%
37 4
 
6.3%
38 3
 
4.8%
19 3
 
4.8%
11 3
 
4.8%
53 2
 
3.2%
6 2
 
3.2%
35 2
 
3.2%
17 2
 
3.2%
Other values (29) 32
50.8%
ValueCountFrequency (%)
0 1
 
1.6%
3 1
 
1.6%
6 2
3.2%
10 1
 
1.6%
11 3
4.8%
12 2
3.2%
13 2
3.2%
14 1
 
1.6%
15 1
 
1.6%
16 1
 
1.6%
ValueCountFrequency (%)
84 1
1.6%
79 1
1.6%
71 1
1.6%
57 1
1.6%
54 1
1.6%
53 2
3.2%
52 1
1.6%
49 1
1.6%
44 1
1.6%
43 1
1.6%

0세
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8730159
Minimum0
Maximum15
Zeros12
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-15T07:59:42.211530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q38
95-th percentile12
Maximum15
Range15
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.0778397
Coefficient of variation (CV)0.83682052
Kurtosis-0.59646524
Mean4.8730159
Median Absolute Deviation (MAD)3
Skewness0.6148504
Sum307
Variance16.628776
MonotonicityNot monotonic
2024-03-15T07:59:42.587708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 12
19.0%
3 11
17.5%
4 7
11.1%
8 5
7.9%
7 4
 
6.3%
2 4
 
6.3%
1 3
 
4.8%
10 3
 
4.8%
12 3
 
4.8%
9 3
 
4.8%
Other values (5) 8
12.7%
ValueCountFrequency (%)
0 12
19.0%
1 3
 
4.8%
2 4
 
6.3%
3 11
17.5%
4 7
11.1%
5 2
 
3.2%
6 2
 
3.2%
7 4
 
6.3%
8 5
7.9%
9 3
 
4.8%
ValueCountFrequency (%)
15 1
 
1.6%
13 2
 
3.2%
12 3
4.8%
11 1
 
1.6%
10 3
4.8%
9 3
4.8%
8 5
7.9%
7 4
6.3%
6 2
 
3.2%
5 2
 
3.2%

1세
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1428571
Minimum0
Maximum21
Zeros5
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-15T07:59:42.968427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median5
Q39
95-th percentile15
Maximum21
Range21
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.9149448
Coefficient of variation (CV)0.80010729
Kurtosis1.5828066
Mean6.1428571
Median Absolute Deviation (MAD)3
Skewness1.2656535
Sum387
Variance24.156682
MonotonicityNot monotonic
2024-03-15T07:59:43.231109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
5 11
17.5%
4 7
11.1%
2 6
9.5%
9 5
7.9%
0 5
7.9%
10 4
 
6.3%
3 4
 
6.3%
6 4
 
6.3%
1 4
 
6.3%
7 3
 
4.8%
Other values (7) 10
15.9%
ValueCountFrequency (%)
0 5
7.9%
1 4
 
6.3%
2 6
9.5%
3 4
 
6.3%
4 7
11.1%
5 11
17.5%
6 4
 
6.3%
7 3
 
4.8%
8 2
 
3.2%
9 5
7.9%
ValueCountFrequency (%)
21 1
 
1.6%
20 2
 
3.2%
15 2
 
3.2%
14 1
 
1.6%
13 1
 
1.6%
12 1
 
1.6%
10 4
6.3%
9 5
7.9%
8 2
 
3.2%
7 3
4.8%

2세
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6349206
Minimum0
Maximum23
Zeros2
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-15T07:59:43.538620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q14
median7
Q310
95-th percentile15
Maximum23
Range23
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.8702573
Coefficient of variation (CV)0.63789233
Kurtosis0.88631049
Mean7.6349206
Median Absolute Deviation (MAD)3
Skewness0.94835965
Sum481
Variance23.719406
MonotonicityNot monotonic
2024-03-15T07:59:43.898753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
6 9
14.3%
4 7
11.1%
7 7
11.1%
8 6
9.5%
15 5
7.9%
5 5
7.9%
14 4
 
6.3%
2 4
 
6.3%
3 2
 
3.2%
9 2
 
3.2%
Other values (8) 12
19.0%
ValueCountFrequency (%)
0 2
 
3.2%
1 2
 
3.2%
2 4
6.3%
3 2
 
3.2%
4 7
11.1%
5 5
7.9%
6 9
14.3%
7 7
11.1%
8 6
9.5%
9 2
 
3.2%
ValueCountFrequency (%)
23 1
 
1.6%
21 1
 
1.6%
15 5
7.9%
14 4
6.3%
13 1
 
1.6%
12 2
 
3.2%
11 1
 
1.6%
10 2
 
3.2%
9 2
 
3.2%
8 6
9.5%

3세
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1587302
Minimum0
Maximum20
Zeros29
Zeros (%)46.0%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-15T07:59:44.278150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q38
95-th percentile14.7
Maximum20
Range20
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.1500277
Coefficient of variation (CV)1.2383654
Kurtosis0.48814713
Mean4.1587302
Median Absolute Deviation (MAD)2
Skewness1.1196076
Sum262
Variance26.522785
MonotonicityNot monotonic
2024-03-15T07:59:44.661604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 29
46.0%
8 5
 
7.9%
5 4
 
6.3%
11 4
 
6.3%
7 3
 
4.8%
10 3
 
4.8%
2 3
 
4.8%
3 2
 
3.2%
15 2
 
3.2%
4 2
 
3.2%
Other values (5) 6
 
9.5%
ValueCountFrequency (%)
0 29
46.0%
1 2
 
3.2%
2 3
 
4.8%
3 2
 
3.2%
4 2
 
3.2%
5 4
 
6.3%
6 1
 
1.6%
7 3
 
4.8%
8 5
 
7.9%
10 3
 
4.8%
ValueCountFrequency (%)
20 1
 
1.6%
17 1
 
1.6%
15 2
 
3.2%
12 1
 
1.6%
11 4
6.3%
10 3
4.8%
8 5
7.9%
7 3
4.8%
6 1
 
1.6%
5 4
6.3%

4세
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2857143
Minimum0
Maximum19
Zeros34
Zeros (%)54.0%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-15T07:59:45.032953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile14
Maximum19
Range19
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.8507684
Coefficient of variation (CV)1.4763208
Kurtosis1.6189855
Mean3.2857143
Median Absolute Deviation (MAD)0
Skewness1.5353469
Sum207
Variance23.529954
MonotonicityNot monotonic
2024-03-15T07:59:45.427280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 34
54.0%
6 7
 
11.1%
1 4
 
6.3%
8 3
 
4.8%
4 3
 
4.8%
5 2
 
3.2%
14 2
 
3.2%
11 1
 
1.6%
12 1
 
1.6%
19 1
 
1.6%
Other values (5) 5
 
7.9%
ValueCountFrequency (%)
0 34
54.0%
1 4
 
6.3%
2 1
 
1.6%
3 1
 
1.6%
4 3
 
4.8%
5 2
 
3.2%
6 7
 
11.1%
8 3
 
4.8%
9 1
 
1.6%
11 1
 
1.6%
ValueCountFrequency (%)
19 1
 
1.6%
16 1
 
1.6%
15 1
 
1.6%
14 2
 
3.2%
12 1
 
1.6%
11 1
 
1.6%
9 1
 
1.6%
8 3
4.8%
6 7
11.1%
5 2
 
3.2%

5세
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5396825
Minimum0
Maximum20
Zeros33
Zeros (%)52.4%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-15T07:59:45.753921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile17.8
Maximum20
Range20
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.4471816
Coefficient of variation (CV)1.5388899
Kurtosis2.4279868
Mean3.5396825
Median Absolute Deviation (MAD)0
Skewness1.7707916
Sum223
Variance29.671787
MonotonicityNot monotonic
2024-03-15T07:59:45.993634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 33
52.4%
7 4
 
6.3%
2 4
 
6.3%
6 3
 
4.8%
8 3
 
4.8%
1 3
 
4.8%
5 3
 
4.8%
19 2
 
3.2%
4 2
 
3.2%
10 1
 
1.6%
Other values (5) 5
 
7.9%
ValueCountFrequency (%)
0 33
52.4%
1 3
 
4.8%
2 4
 
6.3%
3 1
 
1.6%
4 2
 
3.2%
5 3
 
4.8%
6 3
 
4.8%
7 4
 
6.3%
8 3
 
4.8%
10 1
 
1.6%
ValueCountFrequency (%)
20 1
 
1.6%
19 2
3.2%
18 1
 
1.6%
16 1
 
1.6%
14 1
 
1.6%
10 1
 
1.6%
8 3
4.8%
7 4
6.3%
6 3
4.8%
5 3
4.8%

6세
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size632.0 B
0
63 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 63
100.0%

Length

2024-03-15T07:59:46.402840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:59:46.715914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 63
100.0%

7세이상
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size632.0 B
0
63 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 63
100.0%

Length

2024-03-15T07:59:47.152364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:59:47.342587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 63
100.0%

보육교직원현황
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)25.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.984127
Minimum0
Maximum19
Zeros1
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-15T07:59:47.496735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.1
Q17
median9
Q311
95-th percentile14.9
Maximum19
Range19
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.3383986
Coefficient of variation (CV)0.37158854
Kurtosis0.97516152
Mean8.984127
Median Absolute Deviation (MAD)2
Skewness0.34201361
Sum566
Variance11.144905
MonotonicityNot monotonic
2024-03-15T07:59:47.732590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
9 13
20.6%
11 9
14.3%
8 7
11.1%
7 6
9.5%
6 6
9.5%
12 4
 
6.3%
5 4
 
6.3%
10 3
 
4.8%
14 2
 
3.2%
4 2
 
3.2%
Other values (6) 7
11.1%
ValueCountFrequency (%)
0 1
 
1.6%
3 1
 
1.6%
4 2
 
3.2%
5 4
 
6.3%
6 6
9.5%
7 6
9.5%
8 7
11.1%
9 13
20.6%
10 3
 
4.8%
11 9
14.3%
ValueCountFrequency (%)
19 1
 
1.6%
16 2
 
3.2%
15 1
 
1.6%
14 2
 
3.2%
13 1
 
1.6%
12 4
 
6.3%
11 9
14.3%
10 3
 
4.8%
9 13
20.6%
8 7
11.1%

평가인증
Boolean

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size191.0 B
True
58 
False
 
5
ValueCountFrequency (%)
True 58
92.1%
False 5
 
7.9%
2024-03-15T07:59:48.091840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

전화번호
Text

MISSING 

Distinct62
Distinct (%)100.0%
Missing1
Missing (%)1.6%
Memory size632.0 B
2024-03-15T07:59:49.027557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.016129
Min length12

Characters and Unicode

Total characters745
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

Unique62 ?
Unique (%)100.0%

Sample

1st row063-262-5490
2nd row063-221-9345
3rd row063-221-3484
4th row063-241-2008
5th row063-714-3770
ValueCountFrequency (%)
063-262-5490 1
 
1.6%
063-291-2277 1
 
1.6%
063-262-7835 1
 
1.6%
063-261-1213 1
 
1.6%
063-291-7050 1
 
1.6%
063-263-3339 1
 
1.6%
063-291-8187 1
 
1.6%
063-291-6954 1
 
1.6%
063-291-7456 1
 
1.6%
063-904-3669 1
 
1.6%
Other values (52) 52
83.9%
2024-03-15T07:59:50.401132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 124
16.6%
6 111
14.9%
3 105
14.1%
0 99
13.3%
2 97
13.0%
1 50
6.7%
7 37
 
5.0%
9 35
 
4.7%
4 34
 
4.6%
5 29
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 621
83.4%
Dash Punctuation 124
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 111
17.9%
3 105
16.9%
0 99
15.9%
2 97
15.6%
1 50
8.1%
7 37
 
6.0%
9 35
 
5.6%
4 34
 
5.5%
5 29
 
4.7%
8 24
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 124
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 745
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 124
16.6%
6 111
14.9%
3 105
14.1%
0 99
13.3%
2 97
13.0%
1 50
6.7%
7 37
 
5.0%
9 35
 
4.7%
4 34
 
4.6%
5 29
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 745
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 124
16.6%
6 111
14.9%
3 105
14.1%
0 99
13.3%
2 97
13.0%
1 50
6.7%
7 37
 
5.0%
9 35
 
4.7%
4 34
 
4.6%
5 29
 
3.9%

주소
Text

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size632.0 B
2024-03-15T07:59:51.767431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length44
Mean length32.809524
Min length20

Characters and Unicode

Total characters2067
Distinct characters158
Distinct categories9 ?
Distinct scripts3 ?
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 row전북특별자치도 완주군 봉동읍 봉동로 408
2nd row전북특별자치도 완주군 이서면 반교로 51 혁신에코르 3차 관리동
3rd row전북특별자치도 완주군 고산면 읍내5길 8-12
4th row전북특별자치도 완주군 봉동읍 낙평장기로 10
5th row전북특별자치도 완주군 구이면 덕천지등2길 17-6
ValueCountFrequency (%)
전북특별자치도 63
 
15.3%
완주군 63
 
15.3%
봉동읍 20
 
4.8%
삼례읍 13
 
3.1%
관리동 10
 
2.4%
아파트 10
 
2.4%
이서면 9
 
2.2%
용진읍 7
 
1.7%
둔산1로 7
 
1.7%
6
 
1.5%
Other values (162) 205
49.6%
2024-03-15T07:59:53.710034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
351
 
17.0%
1 82
 
4.0%
주 73
 
3.5%
전 72
 
3.5%
북 67
 
3.2%
완 65
 
3.1%
치 65
 
3.1%
별 64
 
3.1%
군 63
 
3.0%
도 63
 
3.0%
Other values (148) 1102
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1363
65.9%
Space Separator 351
 
17.0%
Decimal Number 278
 
13.4%
Other Punctuation 23
 
1.1%
Dash Punctuation 20
 
1.0%
Close Punctuation 13
 
0.6%
Open Punctuation 13
 
0.6%
Uppercase Letter 4
 
0.2%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 73
 
5.4%
전 72
 
5.3%
북 67
 
4.9%
완 65
 
4.8%
치 65
 
4.8%
별 64
 
4.7%
군 63
 
4.6%
도 63
 
4.6%
자 63
 
4.6%
특 63
 
4.6%
Other values (129) 705
51.7%
Decimal Number
ValueCountFrequency (%)
1 82
29.5%
2 38
13.7%
0 35
12.6%
3 28
 
10.1%
5 20
 
7.2%
9 17
 
6.1%
7 16
 
5.8%
4 15
 
5.4%
6 14
 
5.0%
8 13
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
A 2
50.0%
H 1
25.0%
L 1
25.0%
Space Separator
ValueCountFrequency (%)
351
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1363
65.9%
Common 698
33.8%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 73
 
5.4%
전 72
 
5.3%
북 67
 
4.9%
완 65
 
4.8%
치 65
 
4.8%
별 64
 
4.7%
군 63
 
4.6%
도 63
 
4.6%
자 63
 
4.6%
특 63
 
4.6%
Other values (129) 705
51.7%
Common
ValueCountFrequency (%)
351
50.3%
1 82
 
11.7%
2 38
 
5.4%
0 35
 
5.0%
3 28
 
4.0%
, 23
 
3.3%
5 20
 
2.9%
- 20
 
2.9%
9 17
 
2.4%
7 16
 
2.3%
Other values (5) 68
 
9.7%
Latin
ValueCountFrequency (%)
e 2
33.3%
A 2
33.3%
H 1
16.7%
L 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1363
65.9%
ASCII 704
34.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
351
49.9%
1 82
 
11.6%
2 38
 
5.4%
0 35
 
5.0%
3 28
 
4.0%
, 23
 
3.3%
5 20
 
2.8%
- 20
 
2.8%
9 17
 
2.4%
7 16
 
2.3%
Other values (9) 74
 
10.5%
Hangul
ValueCountFrequency (%)
주 73
 
5.4%
전 72
 
5.3%
북 67
 
4.9%
완 65
 
4.8%
치 65
 
4.8%
별 64
 
4.7%
군 63
 
4.6%
도 63
 
4.6%
자 63
 
4.6%
특 63
 
4.6%
Other values (129) 705
51.7%

우편번호
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)51.6%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean55338.677
Minimum55304
Maximum55367
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-15T07:59:54.098308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55304
5-th percentile55315
Q155320.5
median55337.5
Q355357
95-th percentile55365
Maximum55367
Range63
Interquartile range (IQR)36.5

Descriptive statistics

Standard deviation18.579712
Coefficient of variation (CV)0.00033574551
Kurtosis-1.3379105
Mean55338.677
Median Absolute Deviation (MAD)17.5
Skewness0.071523372
Sum3430998
Variance345.20571
MonotonicityNot monotonic
2024-03-15T07:59:54.507828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
55365 9
 
14.3%
55316 6
 
9.5%
55334 4
 
6.3%
55326 3
 
4.8%
55343 3
 
4.8%
55319 3
 
4.8%
55359 3
 
4.8%
55320 2
 
3.2%
55315 2
 
3.2%
55329 2
 
3.2%
Other values (22) 25
39.7%
ValueCountFrequency (%)
55304 1
 
1.6%
55311 1
 
1.6%
55313 1
 
1.6%
55315 2
 
3.2%
55316 6
9.5%
55319 3
4.8%
55320 2
 
3.2%
55322 1
 
1.6%
55324 1
 
1.6%
55326 3
4.8%
ValueCountFrequency (%)
55367 1
 
1.6%
55365 9
14.3%
55362 1
 
1.6%
55361 1
 
1.6%
55359 3
 
4.8%
55358 1
 
1.6%
55354 1
 
1.6%
55352 2
 
3.2%
55351 1
 
1.6%
55350 2
 
3.2%

Sample

시군구행정동어린이집유형어린이집명도시규모원장대표자위탁여부정원충족률연령별현원0세1세2세3세4세5세6세7세이상보육교직원현황평가인증전화번호주소우편번호
0완주군고산면사회복지법인고산어린이집농어촌이소영LS엠트론 사업장의 사업주위탁6053.3320467870012Y063-262-5490전북특별자치도 완주군 봉동읍 봉동로 40855311
1완주군구이면법인, 단체등구암어린이집농어촌고은애고은애직영3928.211137000004Y063-221-9345전북특별자치도 완주군 이서면 반교로 51 혁신에코르 3차 관리동55361
2완주군구이면사회복지법인구이어린이집농어촌홍선홍선직영8638.433357567008Y063-221-3484전북특별자치도 완주군 고산면 읍내5길 8-1255362
3완주군동상면국공립동상하나어린이집농어촌윤순옥윤순옥직영3897.4371310140000010Y063-241-2008전북특별자치도 완주군 봉동읍 낙평장기로 1055345
4완주군봉동읍직장LS엠트론어린이집농어촌이남이송영배직영4734.016322360007Y063-714-3770전북특별자치도 완주군 구이면 덕천지등2길 17-655324
5완주군봉동읍민간광신어린이집농어촌양희양진용직영7951.94133810116009Y063-261-2244전북특별자치도 완주군 구이면 두방길 1955326
6완주군봉동읍민간꼬마둥지어린이집농어촌권영자권영자직영3997.4381013150000012Y063-263-5388전북특별자치도 완주군 봉동읍 둔산1로 107 라송 센트럴 카운티 아파트 관리동55320
7완주군봉동읍가정꼬마세상어린이집농어촌방수경방수경직영2095.019748000008Y070-7503-1825전북특별자치도 완주군 봉동읍 둔산3로 119-7 , 105동 105호(둔산리, 벽산e-솔렌스힐)55316
8완주군봉동읍민간꿈모아어린이집농어촌강정이김정자직영8263.4524881012100011Y063-261-7722전북특별자치도 완주군 삼례읍 충혼안길 2955315
9완주군봉동읍민간도담도담어린이집농어촌송원호완주군수위탁9140.7370551188009Y063-263-3273전북특별자치도 완주군 송광수만로 227-955316
시군구행정동어린이집유형어린이집명도시규모원장대표자위탁여부정원충족률연령별현원0세1세2세3세4세5세6세7세이상보육교직원현황평가인증전화번호주소우편번호
53완주군이서면국공립사랑뜰어린이집농어촌장민정박수영직영1973.714356000005Y063-227-1616전북특별자치도 완주군 봉동읍 둔산1로 130 , 207동 102호(둔산리, 전주첨단코아루2차 아파트)55365
54완주군이서면민간세안어린이집농어촌방미경방미경직영8445.2388667650010Y063-225-7955전북특별자치도 완주군 이서면 이문길 22-1055365
55완주군이서면가정아기둥지어린이집농어촌이은희김지태직영3964.125314818009Y063-236-0529전북특별자치도 완주군 용진읍 완주로 806-1855365
56완주군이서면민간아이별어린이집농어촌최일녀최일녀직영3989.7351010150000011Y063-224-7644전북특별자치도 완주군 이서면 출판로 25 코오롱하늘채아파트, 관리동55365
57완주군이서면사회복지법인피노키오어린이집농어촌임하라한국식품연구원대표직영3647.217355211009Y063-222-7058전북특별자치도 완주군 농생명로 24555367
58완주군이서면민간하늘채어린이집농어촌신수정완주군수위탁2250.011245000005Y063-222-1454전북특별자치도 완주군 삼례읍 웃삼례길 39-6 삼례2주공A 관리동 1층55365
59완주군이서면직장한국식품연구원직장어린이집농어촌배윤정최시온직영12416.120924302009Y063-219-9860전북특별자치도 완주군 이서면 갈산안길 18-5 갈산리 656-155365
60완주군이서면민간햇빛대통령어린이집농어촌안은희안은희직영6090.0541120230000016Y063-223-2000전북특별자치도 완주군 이서면 지사제로 29 전북혁신 에코르2차 아파트 관리동55365
61완주군이서면민간혁신에코르어린이집농어촌이미란현대자동차(주)전주공장의 사업주위탁3073.322126562007Y063-284-0300전북특별자치도 완주군 봉동읍 과학로 850-1555365
62완주군화산면국공립화산어린이집농어촌신현덕완주군수위탁20100.020234542007Y063-263-5980전북특별자치도 완주군 화산면 화산남로 49155304