Overview

Dataset statistics

Number of variables7
Number of observations124
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.3 KiB
Average record size in memory60.0 B

Variable types

Numeric3
Categorical1
Text3

Dataset

Description전라남도 여수시 어린이집 현황(유형, 어린이집명, 주소, 정원, 보육교직원수, 전화번호)데이터를 제공합니다.
Author전라남도 여수시
URLhttps://www.data.go.kr/data/15121763/fileData.do

Alerts

연번 is highly overall correlated with 유형High correlation
정원(명) is highly overall correlated with 보육교직원수(명)High correlation
보육교직원수(명) is highly overall correlated with 정원(명)High correlation
유형 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
어린이집명 has unique valuesUnique
도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 10:06:42.744045
Analysis finished2024-03-14 10:06:46.241519
Duration3.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct124
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.5
Minimum1
Maximum124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-14T19:06:46.456800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.15
Q131.75
median62.5
Q393.25
95-th percentile117.85
Maximum124
Range123
Interquartile range (IQR)61.5

Descriptive statistics

Standard deviation35.939764
Coefficient of variation (CV)0.57503623
Kurtosis-1.2
Mean62.5
Median Absolute Deviation (MAD)31
Skewness0
Sum7750
Variance1291.6667
MonotonicityStrictly increasing
2024-03-14T19:06:46.932376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
80 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
Other values (114) 114
91.9%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
124 1
0.8%
123 1
0.8%
122 1
0.8%
121 1
0.8%
120 1
0.8%
119 1
0.8%
118 1
0.8%
117 1
0.8%
116 1
0.8%
115 1
0.8%

유형
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
민간
47 
국공립
25 
가정
23 
사회복지법인
18 
직장
8 

Length

Max length6
Median length2
Mean length2.8790323
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
민간 47
37.9%
국공립 25
20.2%
가정 23
18.5%
사회복지법인 18
 
14.5%
직장 8
 
6.5%
법인·단체등 3
 
2.4%

Length

2024-03-14T19:06:47.454724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:06:47.877914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간 47
37.9%
국공립 25
20.2%
가정 23
18.5%
사회복지법인 18
 
14.5%
직장 8
 
6.5%
법인·단체등 3
 
2.4%

어린이집명
Text

UNIQUE 

Distinct124
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-14T19:06:48.689290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length8.3306452
Min length6

Characters and Unicode

Total characters1033
Distinct characters198
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique124 ?
Unique (%)100.0%

Sample

1st rowe편한세상여수더퍼스트어린이집
2nd row꿈모아어린이집
3rd row꿈에그린1단지어린이집
4th row꿈에그린2단지어린이집
5th row나진어린이집
ValueCountFrequency (%)
어린이집 5
 
3.6%
롯데케미칼 2
 
1.5%
참예쁜어린이집 1
 
0.7%
좋은어린이집 1
 
0.7%
주사랑어린이집 1
 
0.7%
지웰 1
 
0.7%
꿈꾸는어린이집 1
 
0.7%
지웰3단지 1
 
0.7%
e편한세상여수더퍼스트어린이집 1
 
0.7%
웅천포레스트2단지부영사랑으로 1
 
0.7%
Other values (122) 122
89.1%
2024-03-14T19:06:49.973318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 132
 
12.8%
린 127
 
12.3%
집 124
 
12.0%
어 124
 
12.0%
여 16
 
1.5%
사 15
 
1.5%
수 14
 
1.4%
랑 13
 
1.3%
지 13
 
1.3%
13
 
1.3%
Other values (188) 442
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 987
95.5%
Space Separator 13
 
1.3%
Decimal Number 13
 
1.3%
Uppercase Letter 11
 
1.1%
Lowercase Letter 8
 
0.8%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 132
 
13.4%
린 127
 
12.9%
집 124
 
12.6%
어 124
 
12.6%
여 16
 
1.6%
사 15
 
1.5%
수 14
 
1.4%
랑 13
 
1.3%
지 13
 
1.3%
스 12
 
1.2%
Other values (172) 397
40.2%
Uppercase Letter
ValueCountFrequency (%)
Q 2
18.2%
C 2
18.2%
G 2
18.2%
N 1
9.1%
E 1
9.1%
I 1
9.1%
S 1
9.1%
L 1
9.1%
Decimal Number
ValueCountFrequency (%)
1 6
46.2%
2 5
38.5%
3 2
 
15.4%
Lowercase Letter
ValueCountFrequency (%)
m 4
50.0%
e 2
25.0%
o 2
25.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 987
95.5%
Common 27
 
2.6%
Latin 19
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 132
 
13.4%
린 127
 
12.9%
집 124
 
12.6%
어 124
 
12.6%
여 16
 
1.6%
사 15
 
1.5%
수 14
 
1.4%
랑 13
 
1.3%
지 13
 
1.3%
스 12
 
1.2%
Other values (172) 397
40.2%
Latin
ValueCountFrequency (%)
m 4
21.1%
Q 2
10.5%
e 2
10.5%
o 2
10.5%
C 2
10.5%
G 2
10.5%
N 1
 
5.3%
E 1
 
5.3%
I 1
 
5.3%
S 1
 
5.3%
Common
ValueCountFrequency (%)
13
48.1%
1 6
22.2%
2 5
 
18.5%
3 2
 
7.4%
- 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 987
95.5%
ASCII 46
 
4.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 132
 
13.4%
린 127
 
12.9%
집 124
 
12.6%
어 124
 
12.6%
여 16
 
1.6%
사 15
 
1.5%
수 14
 
1.4%
랑 13
 
1.3%
지 13
 
1.3%
스 12
 
1.2%
Other values (172) 397
40.2%
ASCII
ValueCountFrequency (%)
13
28.3%
1 6
13.0%
2 5
 
10.9%
m 4
 
8.7%
3 2
 
4.3%
Q 2
 
4.3%
e 2
 
4.3%
o 2
 
4.3%
C 2
 
4.3%
G 2
 
4.3%
Other values (6) 6
13.0%

도로명주소
Text

UNIQUE 

Distinct124
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-14T19:06:51.389084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length36
Mean length26.282258
Min length15

Characters and Unicode

Total characters3259
Distinct characters182
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

Unique124 ?
Unique (%)100.0%

Sample

1st row전라남도 여수시 학동북4길 7
2nd row전라남도 여수시 성산6길 47
3rd row전라남도 여수시 웅천남8로 24 (웅천동, 여수웅천꿈에그린1단지 관리동)
4th row전라남도 여수시 웅천남8로 23 (웅천동, 여수웅천꿈에그린2단지)
5th row전라남도 여수시 화양면 나진길 16-26 여수시립나진어린이집
ValueCountFrequency (%)
여수시 124
 
18.2%
전라남도 123
 
18.0%
소라면 6
 
0.9%
덕양로 5
 
0.7%
내 5
 
0.7%
웅천동 5
 
0.7%
웅천로 5
 
0.7%
30 5
 
0.7%
안산동 5
 
0.7%
좌수영로 4
 
0.6%
Other values (300) 395
57.9%
2024-03-14T19:06:53.023149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
558
 
17.1%
수 149
 
4.6%
여 146
 
4.5%
시 135
 
4.1%
라 133
 
4.1%
남 131
 
4.0%
도 130
 
4.0%
전 127
 
3.9%
1 120
 
3.7%
동 103
 
3.2%
Other values (172) 1527
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2003
61.5%
Space Separator 558
 
17.1%
Decimal Number 493
 
15.1%
Open Punctuation 70
 
2.1%
Close Punctuation 70
 
2.1%
Dash Punctuation 35
 
1.1%
Other Punctuation 28
 
0.9%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 149
 
7.4%
여 146
 
7.3%
시 135
 
6.7%
라 133
 
6.6%
남 131
 
6.5%
도 130
 
6.5%
전 127
 
6.3%
동 103
 
5.1%
길 69
 
3.4%
로 58
 
2.9%
Other values (155) 822
41.0%
Decimal Number
ValueCountFrequency (%)
1 120
24.3%
2 68
13.8%
3 61
12.4%
0 49
9.9%
6 47
 
9.5%
4 39
 
7.9%
5 36
 
7.3%
8 30
 
6.1%
9 23
 
4.7%
7 20
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
G 1
50.0%
Space Separator
ValueCountFrequency (%)
558
100.0%
Open Punctuation
ValueCountFrequency (%)
( 70
100.0%
Close Punctuation
ValueCountFrequency (%)
) 70
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2003
61.5%
Common 1254
38.5%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 149
 
7.4%
여 146
 
7.3%
시 135
 
6.7%
라 133
 
6.6%
남 131
 
6.5%
도 130
 
6.5%
전 127
 
6.3%
동 103
 
5.1%
길 69
 
3.4%
로 58
 
2.9%
Other values (155) 822
41.0%
Common
ValueCountFrequency (%)
558
44.5%
1 120
 
9.6%
( 70
 
5.6%
) 70
 
5.6%
2 68
 
5.4%
3 61
 
4.9%
0 49
 
3.9%
6 47
 
3.7%
4 39
 
3.1%
5 36
 
2.9%
Other values (5) 136
 
10.8%
Latin
ValueCountFrequency (%)
S 1
50.0%
G 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2003
61.5%
ASCII 1256
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
558
44.4%
1 120
 
9.6%
( 70
 
5.6%
) 70
 
5.6%
2 68
 
5.4%
3 61
 
4.9%
0 49
 
3.9%
6 47
 
3.7%
4 39
 
3.1%
5 36
 
2.9%
Other values (7) 138
 
11.0%
Hangul
ValueCountFrequency (%)
수 149
 
7.4%
여 146
 
7.3%
시 135
 
6.7%
라 133
 
6.6%
남 131
 
6.5%
도 130
 
6.5%
전 127
 
6.3%
동 103
 
5.1%
길 69
 
3.4%
로 58
 
2.9%
Other values (155) 822
41.0%

정원(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct56
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.346774
Minimum8
Maximum193
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-14T19:06:53.446035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile16
Q131.75
median47.5
Q382
95-th percentile164.05
Maximum193
Range185
Interquartile range (IQR)50.25

Descriptive statistics

Standard deviation42.603302
Coefficient of variation (CV)0.71787057
Kurtosis1.8483265
Mean59.346774
Median Absolute Deviation (MAD)27.5
Skewness1.4544324
Sum7359
Variance1815.0414
MonotonicityNot monotonic
2024-03-14T19:06:53.902196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 19
 
15.3%
39 11
 
8.9%
40 8
 
6.5%
49 8
 
6.5%
99 5
 
4.0%
60 5
 
4.0%
55 4
 
3.2%
50 3
 
2.4%
28 3
 
2.4%
16 3
 
2.4%
Other values (46) 55
44.4%
ValueCountFrequency (%)
8 1
 
0.8%
10 1
 
0.8%
11 1
 
0.8%
14 1
 
0.8%
15 1
 
0.8%
16 3
 
2.4%
18 1
 
0.8%
20 19
15.3%
28 3
 
2.4%
33 1
 
0.8%
ValueCountFrequency (%)
193 1
0.8%
191 1
0.8%
190 1
0.8%
186 1
0.8%
170 2
1.6%
166 1
0.8%
153 1
0.8%
140 1
0.8%
132 1
0.8%
119 1
0.8%

보육교직원수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct28
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.564516
Minimum2
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-14T19:06:54.305931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q18
median12
Q315.25
95-th percentile23
Maximum47
Range45
Interquartile range (IQR)7.25

Descriptive statistics

Standard deviation6.5372503
Coefficient of variation (CV)0.52029463
Kurtosis5.948788
Mean12.564516
Median Absolute Deviation (MAD)4
Skewness1.7277081
Sum1558
Variance42.735641
MonotonicityNot monotonic
2024-03-14T19:06:54.679075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
12 13
 
10.5%
11 12
 
9.7%
7 11
 
8.9%
14 11
 
8.9%
8 9
 
7.3%
9 8
 
6.5%
16 6
 
4.8%
5 6
 
4.8%
19 6
 
4.8%
13 5
 
4.0%
Other values (18) 37
29.8%
ValueCountFrequency (%)
2 1
 
0.8%
3 3
 
2.4%
4 1
 
0.8%
5 6
4.8%
6 5
4.0%
7 11
8.9%
8 9
7.3%
9 8
6.5%
10 4
 
3.2%
11 12
9.7%
ValueCountFrequency (%)
47 1
 
0.8%
34 1
 
0.8%
28 1
 
0.8%
27 1
 
0.8%
26 1
 
0.8%
25 1
 
0.8%
23 2
1.6%
22 1
 
0.8%
21 4
3.2%
20 1
 
0.8%

전화번호
Text

UNIQUE 

Distinct124
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-14T19:06:55.687118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1488
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

Unique124 ?
Unique (%)100.0%

Sample

1st row061-920-0079
2nd row061-692-5083
3rd row061-681-3577
4th row061-692-2456
5th row061-682-6414
ValueCountFrequency (%)
061-920-0079 1
 
0.8%
061-691-4489 1
 
0.8%
061-691-1171 1
 
0.8%
061-691-9040 1
 
0.8%
061-652-6535 1
 
0.8%
061-654-0677 1
 
0.8%
061-641-9486 1
 
0.8%
061-663-4000 1
 
0.8%
061-691-5777 1
 
0.8%
061-691-2006 1
 
0.8%
Other values (114) 114
91.9%
2024-03-14T19:06:57.094597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 311
20.9%
- 248
16.7%
1 216
14.5%
0 203
13.6%
2 92
 
6.2%
5 89
 
6.0%
8 72
 
4.8%
9 69
 
4.6%
3 68
 
4.6%
4 62
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1240
83.3%
Dash Punctuation 248
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 311
25.1%
1 216
17.4%
0 203
16.4%
2 92
 
7.4%
5 89
 
7.2%
8 72
 
5.8%
9 69
 
5.6%
3 68
 
5.5%
4 62
 
5.0%
7 58
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 248
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1488
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 311
20.9%
- 248
16.7%
1 216
14.5%
0 203
13.6%
2 92
 
6.2%
5 89
 
6.0%
8 72
 
4.8%
9 69
 
4.6%
3 68
 
4.6%
4 62
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1488
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 311
20.9%
- 248
16.7%
1 216
14.5%
0 203
13.6%
2 92
 
6.2%
5 89
 
6.0%
8 72
 
4.8%
9 69
 
4.6%
3 68
 
4.6%
4 62
 
4.2%

Interactions

2024-03-14T19:06:44.693642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:06:43.164699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:06:43.917294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:06:44.937063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:06:43.413655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:06:44.175629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:06:45.195033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:06:43.679094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:06:44.443753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T19:06:57.358696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번유형정원(명)보육교직원수(명)
연번1.0000.9170.6120.377
유형0.9171.0000.6800.497
정원(명)0.6120.6801.0000.796
보육교직원수(명)0.3770.4970.7961.000
2024-03-14T19:06:57.616718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번정원(명)보육교직원수(명)유형
연번1.000-0.335-0.2900.779
정원(명)-0.3351.0000.8160.444
보육교직원수(명)-0.2900.8161.0000.283
유형0.7790.4440.2831.000

Missing values

2024-03-14T19:06:45.721897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T19:06:46.094235image/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

연번유형어린이집명도로명주소정원(명)보육교직원수(명)전화번호
01국공립e편한세상여수더퍼스트어린이집전라남도 여수시 학동북4길 74014061-920-0079
12국공립꿈모아어린이집전라남도 여수시 성산6길 478817061-692-5083
23국공립꿈에그린1단지어린이집전라남도 여수시 웅천남8로 24 (웅천동, 여수웅천꿈에그린1단지 관리동)349061-681-3577
34국공립꿈에그린2단지어린이집전라남도 여수시 웅천남8로 23 (웅천동, 여수웅천꿈에그린2단지)7713061-692-2456
45국공립나진어린이집전라남도 여수시 화양면 나진길 16-26 여수시립나진어린이집5514061-682-6414
56국공립남면어린이집전라남도 여수시 금오로 860114061-666-1126
67국공립대성베르힐어린이집전라남도 여수시 여문2로 128-38 대성베르힐 관리동4014061-921-9330
78국공립묘도어린이집전라남도 여수시 묘도1길 64 묘도어린이집203061-686-3290
89국공립미평하나어린이집전라남도 여수시 좌수영로 369-3 (미평동)9916061-653-2597
910국공립봉계어린이집전라남도 여수시 좌수영로 682-34 101동 105호(봉계동,로얄골드빌)207061-692-1588
연번유형어린이집명도로명주소정원(명)보육교직원수(명)전화번호
114115가정해들어린이집전라남도 여수시 좌수영로 682-34 104동 102호(봉계동, 로얄골드빌)207061-685-2390
115116가정해피하우스어린이집전라남도 여수시 도원로 204 506동 101호(안산동, 부영5차아파트)207061-683-1268
116117직장GS칼텍스 지예슬어린이집전라남도 여수시 소호로 449 GS칼텍스 쌍봉사택5017061-692-0955
117118직장LG여수어린이집전라남도 여수시 소호로 619 (소호동, 엘지화학사택내)9921061-807-2230
118119직장롯데케미칼 mom편한 어린이집전라남도 여수시 무선로 27 선원동, 롯데케미칼 사택 내408061-691-6860
119120직장롯데케미칼 첨단소재 여수mom편한 어린이집전라남도 여수시 새터로 6 신기동, 롯데첨단소재 사택 내4911061-692-6272
120121직장여수경찰서어린이집전라남도 여수시 여서동5길 216015061-652-3500
121122직장여수시청직장어린이집전라남도 여수시 시청동1길 30 (학동, 여수시청직장어린이집)17047061-685-1223
122123직장한화솔루션 여천NCC공동어린이집전라남도 여수시 소호로 513 (소호동, 한화케미칼 사택)4912061-685-0045
123124직장한화여수 어린이집전라남도 여수시 신월8길 35-8 (신월동)5515061-643-1190