Overview

Dataset statistics

Number of variables23
Number of observations1799
Missing cells8
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory342.7 KiB
Average record size in memory195.1 B

Variable types

Categorical5
Text4
Numeric11
Boolean1
DateTime2

Dataset

Description경남 도내 어린이집 현황을 제공합니다.(어린이집명, 어린이집 주소, 어린이집 특성, 어린이집 정보, 보육교사수, 아동수)
Author경상남도
URLhttps://www.data.go.kr/data/3080787/fileData.do

Alerts

시도명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
운영현황 is highly imbalanced (75.5%)Imbalance
어린이집특성 is highly imbalanced (66.4%)Imbalance
어린이집코드 has unique valuesUnique
아동현원수 has 79 (4.4%) zerosZeros
보육교직원현원 has 24 (1.3%) zerosZeros
놀이터수 has 1011 (56.2%) zerosZeros
CCTV설치수 has 1017 (56.5%) zerosZeros

Reproduction

Analysis started2024-04-13 11:58:24.367594
Analysis finished2024-04-13 11:58:26.421144
Duration2.05 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
경상남도
1799 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상남도 1799
100.0%

Length

2024-04-13T20:58:26.553734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T20:58:26.735700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 1799
100.0%

시군구명
Categorical

Distinct23
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
양산시
248 
김해시
245 
진주시
185 
창원시 성산구
145 
거제시
139 
Other values (18)
837 

Length

Max length9
Median length3
Mean length4.8015564
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row창원시 성산구
2nd row창원시 성산구
3rd row창원시 성산구
4th row창원시 의창구
5th row창원시 의창구

Common Values

ValueCountFrequency (%)
양산시 248
13.8%
김해시 245
13.6%
진주시 185
10.3%
창원시 성산구 145
8.1%
거제시 139
7.7%
창원시 진해구 132
7.3%
창원시 의창구 125
6.9%
창원시 마산합포구 101
 
5.6%
김해시장유출장소 95
 
5.3%
창원시 마산회원구 92
 
5.1%
Other values (13) 292
16.2%

Length

2024-04-13T20:58:26.922218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
창원시 595
24.9%
양산시 248
10.4%
김해시 245
10.2%
진주시 185
 
7.7%
성산구 145
 
6.1%
거제시 139
 
5.8%
진해구 132
 
5.5%
의창구 125
 
5.2%
마산합포구 101
 
4.2%
김해시장유출장소 95
 
4.0%
Other values (14) 384
16.0%
Distinct190
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
2024-04-13T20:58:27.975524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.1083936
Min length2

Characters and Unicode

Total characters5592
Distinct characters130
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

Unique47 ?
Unique (%)2.6%

Sample

1st row가음정동
2nd row중앙동
3rd row중앙동
4th row명곡동
5th row봉림동
ValueCountFrequency (%)
물금읍 102
 
5.7%
장유3동 58
 
3.2%
북부동 54
 
3.0%
내외동 50
 
2.8%
진영읍 50
 
2.8%
북면 46
 
2.6%
동면 45
 
2.5%
웅동2동 43
 
2.4%
장유1동 43
 
2.4%
내서읍 39
 
2.2%
Other values (180) 1269
70.5%
2024-04-13T20:58:29.279660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1338
23.9%
320
 
5.7%
288
 
5.2%
154
 
2.8%
122
 
2.2%
122
 
2.2%
117
 
2.1%
2 106
 
1.9%
102
 
1.8%
99
 
1.8%
Other values (120) 2824
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5359
95.8%
Decimal Number 233
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1338
25.0%
320
 
6.0%
288
 
5.4%
154
 
2.9%
122
 
2.3%
122
 
2.3%
117
 
2.2%
102
 
1.9%
99
 
1.8%
88
 
1.6%
Other values (117) 2609
48.7%
Decimal Number
ValueCountFrequency (%)
2 106
45.5%
1 69
29.6%
3 58
24.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5359
95.8%
Common 233
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1338
25.0%
320
 
6.0%
288
 
5.4%
154
 
2.9%
122
 
2.3%
122
 
2.3%
117
 
2.2%
102
 
1.9%
99
 
1.8%
88
 
1.6%
Other values (117) 2609
48.7%
Common
ValueCountFrequency (%)
2 106
45.5%
1 69
29.6%
3 58
24.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5359
95.8%
ASCII 233
 
4.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1338
25.0%
320
 
6.0%
288
 
5.4%
154
 
2.9%
122
 
2.3%
122
 
2.3%
117
 
2.2%
102
 
1.9%
99
 
1.8%
88
 
1.6%
Other values (117) 2609
48.7%
ASCII
ValueCountFrequency (%)
2 106
45.5%
1 69
29.6%
3 58
24.9%

어린이집코드
Real number (ℝ)

UNIQUE 

Distinct1799
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8265844 × 1010
Minimum4.812 × 1010
Maximum4.889 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.9 KiB
2024-04-13T20:58:29.528360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.812 × 1010
5-th percentile4.8121 × 1010
Q14.8127 × 1010
median4.825 × 1010
Q34.833 × 1010
95-th percentile4.874 × 1010
Maximum4.889 × 1010
Range7.7000002 × 108
Interquartile range (IQR)2.0299981 × 108

Descriptive statistics

Standard deviation1.7897478 × 108
Coefficient of variation (CV)0.0037081043
Kurtosis4.0947296
Mean4.8265844 × 1010
Median Absolute Deviation (MAD)80000722
Skewness2.0498238
Sum8.6830254 × 1013
Variance3.2031973 × 1016
MonotonicityStrictly increasing
2024-04-13T20:58:29.798236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48120000001 1
 
0.1%
48310000240 1
 
0.1%
48310000098 1
 
0.1%
48310000091 1
 
0.1%
48310000087 1
 
0.1%
48310000086 1
 
0.1%
48310000071 1
 
0.1%
48310000069 1
 
0.1%
48310000066 1
 
0.1%
48310000063 1
 
0.1%
Other values (1789) 1789
99.4%
ValueCountFrequency (%)
48120000001 1
0.1%
48120000002 1
0.1%
48120000003 1
0.1%
48120000004 1
0.1%
48120000005 1
0.1%
48120000006 1
0.1%
48120000007 1
0.1%
48120000008 1
0.1%
48120000009 1
0.1%
48120000010 1
0.1%
ValueCountFrequency (%)
48890000024 1
0.1%
48890000020 1
0.1%
48890000017 1
0.1%
48890000013 1
0.1%
48890000012 1
0.1%
48890000009 1
0.1%
48890000005 1
0.1%
48890000004 1
0.1%
48890000002 1
0.1%
48880000043 1
0.1%
Distinct1547
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
2024-04-13T20:58:30.571641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length25
Mean length8.0138966
Min length5

Characters and Unicode

Total characters14417
Distinct characters513
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

Unique1360 ?
Unique (%)75.6%

Sample

1st row창원시립 가음어린이집
2nd row창원시립 내동어린이집
3rd row창원시립 대원어린이집
4th row창원시립 명곡어린이집
5th row창원시립 봉곡어린이집
ValueCountFrequency (%)
창원시립 78
 
4.0%
어린이집 48
 
2.4%
아이사랑어린이집 7
 
0.4%
부영사랑으로어린이집 6
 
0.3%
꿈나무어린이집 6
 
0.3%
직장어린이집 5
 
0.3%
도담도담어린이집 4
 
0.2%
해맑은어린이집 4
 
0.2%
꿈동산어린이집 4
 
0.2%
코코어린이집 4
 
0.2%
Other values (1547) 1801
91.6%
2024-04-13T20:58:31.517045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2023
 
14.0%
1831
 
12.7%
1812
 
12.6%
1799
 
12.5%
243
 
1.7%
168
 
1.2%
153
 
1.1%
146
 
1.0%
132
 
0.9%
122
 
0.8%
Other values (503) 5988
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14133
98.0%
Space Separator 168
 
1.2%
Uppercase Letter 63
 
0.4%
Lowercase Letter 23
 
0.2%
Decimal Number 22
 
0.2%
Dash Punctuation 3
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2023
 
14.3%
1831
 
13.0%
1812
 
12.8%
1799
 
12.7%
243
 
1.7%
153
 
1.1%
146
 
1.0%
132
 
0.9%
122
 
0.9%
120
 
0.8%
Other values (466) 5752
40.7%
Uppercase Letter
ValueCountFrequency (%)
C 6
 
9.5%
N 6
 
9.5%
I 6
 
9.5%
K 6
 
9.5%
A 5
 
7.9%
E 5
 
7.9%
L 4
 
6.3%
Q 4
 
6.3%
H 3
 
4.8%
S 3
 
4.8%
Other values (7) 15
23.8%
Lowercase Letter
ValueCountFrequency (%)
e 8
34.8%
i 6
26.1%
a 3
 
13.0%
t 2
 
8.7%
n 1
 
4.3%
m 1
 
4.3%
h 1
 
4.3%
r 1
 
4.3%
Decimal Number
ValueCountFrequency (%)
1 6
27.3%
2 5
22.7%
3 4
18.2%
4 3
13.6%
5 2
 
9.1%
8 1
 
4.5%
6 1
 
4.5%
Space Separator
ValueCountFrequency (%)
168
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14133
98.0%
Common 198
 
1.4%
Latin 86
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2023
 
14.3%
1831
 
13.0%
1812
 
12.8%
1799
 
12.7%
243
 
1.7%
153
 
1.1%
146
 
1.0%
132
 
0.9%
122
 
0.9%
120
 
0.8%
Other values (466) 5752
40.7%
Latin
ValueCountFrequency (%)
e 8
 
9.3%
C 6
 
7.0%
N 6
 
7.0%
i 6
 
7.0%
I 6
 
7.0%
K 6
 
7.0%
A 5
 
5.8%
E 5
 
5.8%
L 4
 
4.7%
Q 4
 
4.7%
Other values (15) 30
34.9%
Common
ValueCountFrequency (%)
168
84.8%
1 6
 
3.0%
2 5
 
2.5%
3 4
 
2.0%
4 3
 
1.5%
- 3
 
1.5%
5 2
 
1.0%
( 2
 
1.0%
) 2
 
1.0%
. 1
 
0.5%
Other values (2) 2
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14133
98.0%
ASCII 284
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2023
 
14.3%
1831
 
13.0%
1812
 
12.8%
1799
 
12.7%
243
 
1.7%
153
 
1.1%
146
 
1.0%
132
 
0.9%
122
 
0.9%
120
 
0.8%
Other values (466) 5752
40.7%
ASCII
ValueCountFrequency (%)
168
59.2%
e 8
 
2.8%
1 6
 
2.1%
C 6
 
2.1%
N 6
 
2.1%
i 6
 
2.1%
I 6
 
2.1%
K 6
 
2.1%
A 5
 
1.8%
E 5
 
1.8%
Other values (27) 62
 
21.8%

운영현황
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
Y
1726 
A
 
73

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Y 1726
95.9%
A 73
 
4.1%

Length

2024-04-13T20:58:31.742056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T20:58:31.918063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 1726
95.9%
a 73
 
4.1%
Distinct7
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
가정
657 
민간
643 
국공립
326 
사회복지법인
82 
직장
 
61
Other values (2)
 
30

Length

Max length6
Median length2
Mean length2.4257921
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가정 657
36.5%
민간 643
35.7%
국공립 326
18.1%
사회복지법인 82
 
4.6%
직장 61
 
3.4%
법인 단체등 28
 
1.6%
협동 2
 
0.1%

Length

2024-04-13T20:58:32.123594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T20:58:32.349891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정 657
36.0%
민간 643
35.2%
국공립 326
17.8%
사회복지법인 82
 
4.5%
직장 61
 
3.3%
법인 28
 
1.5%
단체등 28
 
1.5%
협동 2
 
0.1%

어린이집특성
Categorical

IMBALANCE 

Distinct22
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
일반
1265 
야간연장
362 
일반 시간제보육
 
26
장애아통합
 
23
야간연장 시간제보육
 
22
Other values (17)
 
101

Length

Max length16
Median length2
Mean length2.9655364
Min length2

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
일반 1265
70.3%
야간연장 362
 
20.1%
일반 시간제보육 26
 
1.4%
장애아통합 23
 
1.3%
야간연장 시간제보육 22
 
1.2%
장애아전문 17
 
0.9%
장애아통합 야간연장 17
 
0.9%
영아전담 12
 
0.7%
야간연장 24시간 10
 
0.6%
야간연장 휴일보육 10
 
0.6%
Other values (12) 35
 
1.9%

Length

2024-04-13T20:58:32.595220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반 1292
67.2%
야간연장 445
 
23.1%
시간제보육 53
 
2.8%
장애아통합 46
 
2.4%
영아전담 24
 
1.2%
휴일보육 20
 
1.0%
장애아전문 19
 
1.0%
24시간 14
 
0.7%
방과후 5
 
0.3%
통합 5
 
0.3%

우편번호
Real number (ℝ)

Distinct842
Distinct (%)46.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54832.195
Minimum50008
Maximum678806
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.9 KiB
2024-04-13T20:58:32.825423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50008
5-th percentile50445
Q150883
median51363
Q352517.5
95-th percentile53269
Maximum678806
Range628798
Interquartile range (IQR)1634.5

Descriptive statistics

Standard deviation43773
Coefficient of variation (CV)0.79830836
Kurtosis175.68138
Mean54832.195
Median Absolute Deviation (MAD)530
Skewness13.315233
Sum98643119
Variance1.9160755 × 109
MonotonicityNot monotonic
2024-04-13T20:58:33.068546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50862 21
 
1.2%
51611 17
 
0.9%
50654 15
 
0.8%
51106 14
 
0.8%
51111 13
 
0.7%
51606 12
 
0.7%
51112 12
 
0.7%
50653 11
 
0.6%
50655 11
 
0.6%
50897 11
 
0.6%
Other values (832) 1662
92.4%
ValueCountFrequency (%)
50008 1
0.1%
50022 1
0.1%
50031 1
0.1%
50032 2
0.1%
50038 1
0.1%
50043 1
0.1%
50044 1
0.1%
50048 1
0.1%
50103 1
0.1%
50118 1
0.1%
ValueCountFrequency (%)
678806 1
0.1%
645808 1
0.1%
642766 1
0.1%
642290 1
0.1%
631863 1
0.1%
631856 1
0.1%
631855 1
0.1%
631750 1
0.1%
630819 1
0.1%
630754 1
0.1%
Distinct1798
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
2024-04-13T20:58:34.489655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length47
Mean length33.365759
Min length15

Characters and Unicode

Total characters60025
Distinct characters469
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1797 ?
Unique (%)99.9%

Sample

1st row경상남도 창원시 성산구 가양로56번길 18
2nd row경상남도 창원시 성산구 창원대로 716 경상남도 창원시 성산구 창원대로 716번지 (내동 456-2번지)
3rd row경상남도 창원시 성산구 대원로27번길 34 창원시립 대원어린이집
4th row경상남도 창원시 의창구 태복산로15번길 8 창원시립명곡어린이집
5th row경상남도 창원시 의창구 창이대로 195 (봉곡동)
ValueCountFrequency (%)
경상남도 1803
 
15.6%
창원시 564
 
4.9%
김해시 341
 
2.9%
양산시 248
 
2.1%
진주시 185
 
1.6%
관리동 160
 
1.4%
성산구 146
 
1.3%
거제시 139
 
1.2%
진해구 132
 
1.1%
의창구 125
 
1.1%
Other values (3259) 7733
66.8%
2024-04-13T20:58:36.032672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10233
 
17.0%
1 3022
 
5.0%
2251
 
3.8%
1994
 
3.3%
1948
 
3.2%
1884
 
3.1%
1844
 
3.1%
1793
 
3.0%
0 1496
 
2.5%
1409
 
2.3%
Other values (459) 32151
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36913
61.5%
Decimal Number 10352
 
17.2%
Space Separator 10233
 
17.0%
Open Punctuation 992
 
1.7%
Close Punctuation 991
 
1.7%
Dash Punctuation 378
 
0.6%
Uppercase Letter 120
 
0.2%
Lowercase Letter 32
 
0.1%
Other Punctuation 13
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2251
 
6.1%
1994
 
5.4%
1948
 
5.3%
1884
 
5.1%
1844
 
5.0%
1793
 
4.9%
1409
 
3.8%
968
 
2.6%
938
 
2.5%
904
 
2.4%
Other values (415) 20980
56.8%
Uppercase Letter
ValueCountFrequency (%)
H 21
17.5%
L 20
16.7%
S 19
15.8%
A 14
11.7%
K 9
7.5%
C 6
 
5.0%
Q 4
 
3.3%
T 3
 
2.5%
P 3
 
2.5%
E 3
 
2.5%
Other values (10) 18
15.0%
Decimal Number
ValueCountFrequency (%)
1 3022
29.2%
0 1496
14.5%
2 1302
12.6%
3 1018
 
9.8%
4 757
 
7.3%
5 742
 
7.2%
6 570
 
5.5%
7 563
 
5.4%
9 445
 
4.3%
8 437
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
e 24
75.0%
s 2
 
6.2%
a 2
 
6.2%
n 1
 
3.1%
k 1
 
3.1%
x 1
 
3.1%
t 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
. 10
76.9%
/ 3
 
23.1%
Space Separator
ValueCountFrequency (%)
10233
100.0%
Open Punctuation
ValueCountFrequency (%)
( 992
100.0%
Close Punctuation
ValueCountFrequency (%)
) 991
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 378
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36913
61.5%
Common 22960
38.3%
Latin 152
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2251
 
6.1%
1994
 
5.4%
1948
 
5.3%
1884
 
5.1%
1844
 
5.0%
1793
 
4.9%
1409
 
3.8%
968
 
2.6%
938
 
2.5%
904
 
2.4%
Other values (415) 20980
56.8%
Latin
ValueCountFrequency (%)
e 24
15.8%
H 21
13.8%
L 20
13.2%
S 19
12.5%
A 14
9.2%
K 9
 
5.9%
C 6
 
3.9%
Q 4
 
2.6%
T 3
 
2.0%
P 3
 
2.0%
Other values (17) 29
19.1%
Common
ValueCountFrequency (%)
10233
44.6%
1 3022
 
13.2%
0 1496
 
6.5%
2 1302
 
5.7%
3 1018
 
4.4%
( 992
 
4.3%
) 991
 
4.3%
4 757
 
3.3%
5 742
 
3.2%
6 570
 
2.5%
Other values (7) 1837
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36913
61.5%
ASCII 23112
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10233
44.3%
1 3022
 
13.1%
0 1496
 
6.5%
2 1302
 
5.6%
3 1018
 
4.4%
( 992
 
4.3%
) 991
 
4.3%
4 757
 
3.3%
5 742
 
3.2%
6 570
 
2.5%
Other values (34) 1989
 
8.6%
Hangul
ValueCountFrequency (%)
2251
 
6.1%
1994
 
5.4%
1948
 
5.3%
1884
 
5.1%
1844
 
5.0%
1793
 
4.9%
1409
 
3.8%
968
 
2.6%
938
 
2.5%
904
 
2.4%
Other values (415) 20980
56.8%
Distinct1790
Distinct (%)99.9%
Missing8
Missing (%)0.4%
Memory size14.2 KiB
2024-04-13T20:58:36.784030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.021217
Min length12

Characters and Unicode

Total characters21530
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

Unique1789 ?
Unique (%)99.9%

Sample

1st row055-284-6814
2nd row055-283-0411
3rd row055-273-9540
4th row055-277-7274
5th row055-288-6746
ValueCountFrequency (%)
055-606-6833 2
 
0.1%
055-636-8518 1
 
0.1%
055-637-5103 1
 
0.1%
055-637-6594 1
 
0.1%
055-681-0055 1
 
0.1%
055-636-0648 1
 
0.1%
055-637-5018 1
 
0.1%
055-632-4816 1
 
0.1%
055-688-4004 1
 
0.1%
055-688-4445 1
 
0.1%
Other values (1780) 1780
99.4%
2024-04-13T20:58:37.751011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 4915
22.8%
- 3582
16.6%
0 2902
13.5%
3 1816
 
8.4%
2 1710
 
7.9%
7 1282
 
6.0%
6 1242
 
5.8%
8 1146
 
5.3%
1 1092
 
5.1%
4 985
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17948
83.4%
Dash Punctuation 3582
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 4915
27.4%
0 2902
16.2%
3 1816
 
10.1%
2 1710
 
9.5%
7 1282
 
7.1%
6 1242
 
6.9%
8 1146
 
6.4%
1 1092
 
6.1%
4 985
 
5.5%
9 858
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 3582
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21530
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 4915
22.8%
- 3582
16.6%
0 2902
13.5%
3 1816
 
8.4%
2 1710
 
7.9%
7 1282
 
6.0%
6 1242
 
5.8%
8 1146
 
5.3%
1 1092
 
5.1%
4 985
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21530
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 4915
22.8%
- 3582
16.6%
0 2902
13.5%
3 1816
 
8.4%
2 1710
 
7.9%
7 1282
 
6.0%
6 1242
 
5.8%
8 1146
 
5.3%
1 1092
 
5.1%
4 985
 
4.6%

아동정원수
Real number (ℝ)

Distinct154
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.960534
Minimum10
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.9 KiB
2024-04-13T20:58:37.994320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile16
Q120
median35
Q360.5
95-th percentile120
Maximum300
Range290
Interquartile range (IQR)40.5

Descriptive statistics

Standard deviation37.545895
Coefficient of variation (CV)0.79952019
Kurtosis6.41458
Mean46.960534
Median Absolute Deviation (MAD)15
Skewness2.1203457
Sum84482
Variance1409.6942
MonotonicityNot monotonic
2024-04-13T20:58:38.245479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 396
22.0%
19 150
 
8.3%
39 112
 
6.2%
49 74
 
4.1%
99 63
 
3.5%
16 32
 
1.8%
30 31
 
1.7%
45 27
 
1.5%
27 26
 
1.4%
35 25
 
1.4%
Other values (144) 863
48.0%
ValueCountFrequency (%)
10 1
 
0.1%
11 5
 
0.3%
12 4
 
0.2%
13 23
 
1.3%
14 9
 
0.5%
15 18
 
1.0%
16 32
 
1.8%
17 17
 
0.9%
18 24
 
1.3%
19 150
8.3%
ValueCountFrequency (%)
300 2
0.1%
268 1
0.1%
262 2
0.1%
241 1
0.1%
234 1
0.1%
230 1
0.1%
225 1
0.1%
207 1
0.1%
202 1
0.1%
200 1
0.1%

아동현원수
Real number (ℝ)

ZEROS 

Distinct122
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.580878
Minimum0
Maximum257
Zeros79
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size15.9 KiB
2024-04-13T20:58:38.500615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q111
median18
Q336
95-th percentile74
Maximum257
Range257
Interquartile range (IQR)25

Descriptive statistics

Standard deviation24.609723
Coefficient of variation (CV)0.92584312
Kurtosis8.960716
Mean26.580878
Median Absolute Deviation (MAD)10
Skewness2.2861769
Sum47819
Variance605.63848
MonotonicityNot monotonic
2024-04-13T20:58:38.753432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 79
 
4.4%
13 70
 
3.9%
9 69
 
3.8%
10 68
 
3.8%
12 65
 
3.6%
14 64
 
3.6%
17 61
 
3.4%
15 57
 
3.2%
11 53
 
2.9%
16 52
 
2.9%
Other values (112) 1161
64.5%
ValueCountFrequency (%)
0 79
4.4%
1 4
 
0.2%
2 11
 
0.6%
3 15
 
0.8%
4 35
1.9%
5 33
1.8%
6 43
2.4%
7 39
2.2%
8 49
2.7%
9 69
3.8%
ValueCountFrequency (%)
257 1
0.1%
173 1
0.1%
166 1
0.1%
162 1
0.1%
160 1
0.1%
156 1
0.1%
149 1
0.1%
142 1
0.1%
141 1
0.1%
136 1
0.1%

보육교직원현원
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.9521957
Minimum0
Maximum42
Zeros24
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size15.9 KiB
2024-04-13T20:58:38.985422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q16
median8
Q312
95-th percentile18
Maximum42
Range42
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.0232988
Coefficient of variation (CV)0.56112478
Kurtosis3.3175509
Mean8.9521957
Median Absolute Deviation (MAD)3
Skewness1.3226474
Sum16105
Variance25.233531
MonotonicityNot monotonic
2024-04-13T20:58:39.198466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
7 214
11.9%
6 208
11.6%
5 200
11.1%
8 161
 
8.9%
9 123
 
6.8%
12 107
 
5.9%
10 107
 
5.9%
4 95
 
5.3%
11 94
 
5.2%
13 71
 
3.9%
Other values (24) 419
23.3%
ValueCountFrequency (%)
0 24
 
1.3%
1 40
 
2.2%
2 21
 
1.2%
3 50
 
2.8%
4 95
5.3%
5 200
11.1%
6 208
11.6%
7 214
11.9%
8 161
8.9%
9 123
6.8%
ValueCountFrequency (%)
42 1
 
0.1%
39 1
 
0.1%
35 1
 
0.1%
30 3
0.2%
29 3
0.2%
28 2
 
0.1%
27 3
0.2%
26 4
0.2%
25 4
0.2%
24 6
0.3%

보육실수
Real number (ℝ)

Distinct16
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.90995
Minimum2
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.9 KiB
2024-04-13T20:58:39.386595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median4
Q36
95-th percentile9
Maximum17
Range15
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.1526056
Coefficient of variation (CV)0.43841701
Kurtosis4.4279873
Mean4.90995
Median Absolute Deviation (MAD)1
Skewness1.8083897
Sum8833
Variance4.6337107
MonotonicityNot monotonic
2024-04-13T20:58:39.582958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
4 491
27.3%
3 484
26.9%
5 293
16.3%
6 193
 
10.7%
7 132
 
7.3%
8 65
 
3.6%
9 46
 
2.6%
10 29
 
1.6%
2 18
 
1.0%
11 14
 
0.8%
Other values (6) 34
 
1.9%
ValueCountFrequency (%)
2 18
 
1.0%
3 484
26.9%
4 491
27.3%
5 293
16.3%
6 193
 
10.7%
7 132
 
7.3%
8 65
 
3.6%
9 46
 
2.6%
10 29
 
1.6%
11 14
 
0.8%
ValueCountFrequency (%)
17 3
 
0.2%
16 1
 
0.1%
15 3
 
0.2%
14 5
 
0.3%
13 10
 
0.6%
12 12
 
0.7%
11 14
 
0.8%
10 29
1.6%
9 46
2.6%
8 65
3.6%

보육실면적
Real number (ℝ)

Distinct415
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean163.84631
Minimum32
Maximum1888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.9 KiB
2024-04-13T20:58:39.817146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32
5-th percentile53
Q171
median117
Q3211
95-th percentile413.5
Maximum1888
Range1856
Interquartile range (IQR)140

Descriptive statistics

Standard deviation144.32283
Coefficient of variation (CV)0.88084269
Kurtosis29.193964
Mean163.84631
Median Absolute Deviation (MAD)54
Skewness3.8360449
Sum294759.52
Variance20829.079
MonotonicityNot monotonic
2024-04-13T20:58:40.072193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84.0 33
 
1.8%
64.0 30
 
1.7%
60.0 27
 
1.5%
61.0 24
 
1.3%
58.0 24
 
1.3%
59.0 23
 
1.3%
53.0 23
 
1.3%
63.0 23
 
1.3%
62.0 22
 
1.2%
65.0 21
 
1.2%
Other values (405) 1549
86.1%
ValueCountFrequency (%)
32.0 1
 
0.1%
35.0 3
0.2%
36.0 5
0.3%
37.0 2
 
0.1%
38.0 1
 
0.1%
39.0 2
 
0.1%
40.0 3
0.2%
41.0 2
 
0.1%
42.0 4
0.2%
43.0 1
 
0.1%
ValueCountFrequency (%)
1888.0 1
0.1%
1816.0 1
0.1%
1533.0 1
0.1%
1143.0 1
0.1%
1043.0 1
0.1%
966.0 1
0.1%
945.0 1
0.1%
865.0 1
0.1%
796.0 1
0.1%
787.0 1
0.1%

놀이터수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.58254586
Minimum0
Maximum10
Zeros1011
Zeros (%)56.2%
Negative0
Negative (%)0.0%
Memory size15.9 KiB
2024-04-13T20:58:40.309134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum10
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.80026829
Coefficient of variation (CV)1.373743
Kurtosis12.302012
Mean0.58254586
Median Absolute Deviation (MAD)0
Skewness2.1575317
Sum1048
Variance0.64042933
MonotonicityNot monotonic
2024-04-13T20:58:40.496258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 1011
56.2%
1 586
32.6%
2 160
 
8.9%
3 34
 
1.9%
4 5
 
0.3%
5 2
 
0.1%
10 1
 
0.1%
ValueCountFrequency (%)
0 1011
56.2%
1 586
32.6%
2 160
 
8.9%
3 34
 
1.9%
4 5
 
0.3%
5 2
 
0.1%
10 1
 
0.1%
ValueCountFrequency (%)
10 1
 
0.1%
5 2
 
0.1%
4 5
 
0.3%
3 34
 
1.9%
2 160
 
8.9%
1 586
32.6%
0 1011
56.2%

위도
Real number (ℝ)

Distinct1625
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.219766
Minimum34.716193
Maximum37.56647
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.9 KiB
2024-04-13T20:58:40.718116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.716193
5-th percentile34.872918
Q135.158182
median35.219056
Q335.303271
95-th percentile35.482195
Maximum37.56647
Range2.8502767
Interquartile range (IQR)0.14508871

Descriptive statistics

Standard deviation0.24969516
Coefficient of variation (CV)0.0070896316
Kurtosis49.905174
Mean35.219766
Median Absolute Deviation (MAD)0.06646932
Skewness5.39724
Sum63360.359
Variance0.062347675
MonotonicityNot monotonic
2024-04-13T20:58:40.957666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.56647 10
 
0.6%
35.21118684 8
 
0.4%
35.16693943 7
 
0.4%
35.215183 6
 
0.3%
35.19704406 5
 
0.3%
35.3036139 5
 
0.3%
35.309063 4
 
0.2%
35.41038 4
 
0.2%
35.14976394 4
 
0.2%
35.25374736 4
 
0.2%
Other values (1615) 1742
96.8%
ValueCountFrequency (%)
34.71619328 1
0.1%
34.82330117 1
0.1%
34.82427515 1
0.1%
34.82589908 1
0.1%
34.82664634 1
0.1%
34.82665933 1
0.1%
34.8289878 1
0.1%
34.8299752 1
0.1%
34.83046662 1
0.1%
34.83155209 1
0.1%
ValueCountFrequency (%)
37.56647 10
0.6%
37.56640059 1
 
0.1%
37.56047407 1
 
0.1%
35.76240146 1
 
0.1%
35.75000817 1
 
0.1%
35.71265244 1
 
0.1%
35.70692425 1
 
0.1%
35.69245075 1
 
0.1%
35.69126415 1
 
0.1%
35.69033945 1
 
0.1%

경도
Real number (ℝ)

Distinct1625
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.61022
Minimum126.97789
Maximum129.17604
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.9 KiB
2024-04-13T20:58:41.209922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.97789
5-th percentile128.05558
Q1128.5031
median128.68201
Q3128.81686
95-th percentile129.03567
Maximum129.17604
Range2.1981467
Interquartile range (IQR)0.31375575

Descriptive statistics

Standard deviation0.33992831
Coefficient of variation (CV)0.0026430895
Kurtosis2.6086904
Mean128.61022
Median Absolute Deviation (MAD)0.1539368
Skewness-1.2118112
Sum231369.78
Variance0.11555126
MonotonicityNot monotonic
2024-04-13T20:58:41.463017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.977963 10
 
0.6%
128.7965639 8
 
0.4%
128.8097606 7
 
0.4%
128.69188 6
 
0.3%
128.7893356 5
 
0.3%
128.5977678 5
 
0.3%
128.72845 4
 
0.2%
129.15927 4
 
0.2%
128.1019161 4
 
0.2%
128.6165025 4
 
0.2%
Other values (1615) 1742
96.8%
ValueCountFrequency (%)
126.9778883 1
 
0.1%
126.977963 10
0.6%
126.9970573 1
 
0.1%
127.6377259 1
 
0.1%
127.7102522 1
 
0.1%
127.7118977 1
 
0.1%
127.7186841 1
 
0.1%
127.7262618 1
 
0.1%
127.7294838 1
 
0.1%
127.7306376 1
 
0.1%
ValueCountFrequency (%)
129.176035 1
0.1%
129.1734639 1
0.1%
129.173152 1
0.1%
129.1729456 1
0.1%
129.1726732 2
0.1%
129.1723728 1
0.1%
129.1723049 1
0.1%
129.1722314 1
0.1%
129.1696886 1
0.1%
129.1695162 1
0.1%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
True
1391 
False
408 
ValueCountFrequency (%)
True 1391
77.3%
False 408
 
22.7%
2024-04-13T20:58:41.657932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct1405
Distinct (%)78.1%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
Minimum1967-11-16 00:00:00
Maximum2024-03-11 00:00:00
2024-04-13T20:58:41.855621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T20:58:42.280398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

CCTV설치수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.57809894
Minimum0
Maximum10
Zeros1017
Zeros (%)56.5%
Negative0
Negative (%)0.0%
Memory size15.9 KiB
2024-04-13T20:58:42.493375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum10
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.79932435
Coefficient of variation (CV)1.3826774
Kurtosis12.412489
Mean0.57809894
Median Absolute Deviation (MAD)0
Skewness2.1740728
Sum1040
Variance0.63891941
MonotonicityNot monotonic
2024-04-13T20:58:42.680505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 1017
56.5%
1 582
32.4%
2 158
 
8.8%
3 34
 
1.9%
4 5
 
0.3%
5 2
 
0.1%
10 1
 
0.1%
ValueCountFrequency (%)
0 1017
56.5%
1 582
32.4%
2 158
 
8.8%
3 34
 
1.9%
4 5
 
0.3%
5 2
 
0.1%
10 1
 
0.1%
ValueCountFrequency (%)
10 1
 
0.1%
5 2
 
0.1%
4 5
 
0.3%
3 34
 
1.9%
2 158
 
8.8%
1 582
32.4%
0 1017
56.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
Minimum2024-04-02 00:00:00
Maximum2024-04-02 00:00:00
2024-04-13T20:58:42.847717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T20:58:43.006922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

시도명시군구명행정동어린이집코드어린이집명운영현황어린이집유형어린이집특성우편번호상세주소전화번호아동정원수아동현원수보육교직원현원보육실수보육실면적놀이터수위도경도통학차량운영여부인가일자CCTV설치수데이터기준일자
0경상남도창원시 성산구가음정동48120000001창원시립 가음어린이집Y국공립야간연장51490경상남도 창원시 성산구 가양로56번길 18055-284-6814140126218453.0135.205717128.701812Y2006-06-1312024-04-02
1경상남도창원시 성산구중앙동48120000002창원시립 내동어린이집Y국공립장애아통합51527경상남도 창원시 성산구 창원대로 716 경상남도 창원시 성산구 창원대로 716번지 (내동 456-2번지)055-283-04117544115198.0235.217579128.669522Y1992-01-0122024-04-02
2경상남도창원시 성산구중앙동48120000003창원시립 대원어린이집Y국공립야간연장51415경상남도 창원시 성산구 대원로27번길 34 창원시립 대원어린이집055-273-95409586147382.0135.232715128.649961N1992-01-0112024-04-02
3경상남도창원시 의창구명곡동48120000004창원시립 명곡어린이집Y국공립야간연장51168경상남도 창원시 의창구 태복산로15번길 8 창원시립명곡어린이집055-277-72744536124122.0035.253642128.640206N1997-10-2102024-04-02
4경상남도창원시 의창구봉림동48120000005창원시립 봉곡어린이집Y국공립일반51181경상남도 창원시 의창구 창이대로 195 (봉곡동)055-288-674611093168397.0135.244977128.658711Y1992-01-0312024-04-02
5경상남도창원시 의창구북면48120000006창원시립 북면어린이집Y국공립야간연장51103경상남도 창원시 의창구 북면 천주로1128번길 7 북면어린이집055-298-5998923376244.0235.350743128.608778Y1992-01-1022024-04-02
6경상남도창원시 의창구봉림동48120000007창원시립 사림어린이집Y국공립장애아통합51150경상남도 창원시 의창구 창이대로397번길 17055-282-90109450136188.0135.244483128.680685Y1993-03-0412024-04-02
7경상남도창원시 성산구성주동48120000008창원시립 남산어린이집Y국공립야간연장51475경상남도 창원시 성산구 삼정자로 110055-261-47749892197490.0135.1968128.716325Y2007-04-1912024-04-02
8경상남도창원시 성산구사파동48120000009창원시립 대방어린이집Y국공립일반51468경상남도 창원시 성산구 대암로 272 창원시립대방어린이집055-289-79129057127249.0235.203909128.708639Y2010-03-0112024-04-02
9경상남도창원시 성산구반송동48120000010창원시립 반송어린이집Y국공립일반51427경상남도 창원시 성산구 원이대로473번길 19-14 창원시립반송어린이집(14-1번지)055-286-26489565135289.0235.23583128.669545N2007-11-0122024-04-02
시도명시군구명행정동어린이집코드어린이집명운영현황어린이집유형어린이집특성우편번호상세주소전화번호아동정원수아동현원수보육교직원현원보육실수보육실면적놀이터수위도경도통학차량운영여부인가일자CCTV설치수데이터기준일자
1789경상남도거창군거창읍48880000043거창푸르지오어린이집Y국공립일반50142경상남도 거창군 거창읍 송정2길 33 거창푸르지오어린이집055-942-2019522084212.0135.681688127.90032N2019-11-0112024-04-02
1790경상남도합천군가야면48890000002가야어린이집Y국공립일반50201경상남도 합천군 가야면 황산1길 86-5055-932-855831964155.0135.762401128.136638Y1984-04-0412024-04-02
1791경상남도합천군합천읍48890000004합천어린이집Y국공립야간연장50238경상남도 합천군 합천읍 동서로 166055-931-27399275216370.0135.56482128.170505Y1990-01-0112024-04-02
1792경상남도합천군삼가면48890000005삼가어린이집Y국공립야간연장50224경상남도 합천군 삼가면 소오길 53-7055-931-0253452276257.0135.408145128.119963Y1996-03-0112024-04-02
1793경상남도합천군초계면48890000009초계참빛어린이집Y사회복지법인일반50246경상남도 합천군 초계면 내동아막길 11-3055-932-1308352597173.0135.560334128.266916Y1994-01-1612024-04-02
1794경상남도합천군합천읍48890000012삼육어린이집Y법인 단체등일반50237경상남도 합천군 합천읍 중앙로1길 10-5055-931-36047254146187.0135.563618128.159579Y1998-01-3112024-04-02
1795경상남도합천군합천읍48890000013원광어린이집Y법인 단체등일반 시간제보육50235경상남도 합천군 합천읍 남정1길 7055-931-191428974235.0135.564489128.157552Y1996-02-2912024-04-02
1796경상남도합천군합천읍48890000017우리네 어린이집Y가정일반678806경상남도 합천군 합천읍 문화로 25-5 우리네 어린이집055-931-236420156485.0035.561568128.156533Y2008-02-2702024-04-02
1797경상남도합천군합천읍48890000020꼬꼬마숲어린이집Y가정일반50231경상남도 합천군 합천읍 옥산로 117 101/101055-934-133220176376.0035.568117128.168291Y2010-11-1202024-04-02
1798경상남도합천군야로면48890000024야로하나어린이집Y국공립일반50206경상남도 합천군 시장길 13055-933-7952271773146.0135.548234128.203091Y2021-01-2512024-04-02