Overview

Dataset statistics

Number of variables27
Number of observations116
Missing cells566
Missing cells (%)18.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.2 KiB
Average record size in memory231.1 B

Variable types

Categorical7
Numeric9
Text5
Unsupported4
Boolean1
DateTime1

Dataset

Description경기도 포천시에서 제공하는 어린이집 현황(어린이집코드, 어린이집명, 어린이집주소, 전화번호, 팩스번호 등 제공)데이터 입니다.
Author경기도 포천시
URLhttps://www.data.go.kr/data/15002705/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
제공서비스 has constant value ""Constant
데이터기준일자 has constant value ""Constant
운영현황 is highly imbalanced (54.0%)Imbalance
어린이집팩스번호 has 7 (6.0%) missing valuesMissing
홈페이지주소 has 95 (81.9%) missing valuesMissing
CCTV설치수 has 116 (100.0%) missing valuesMissing
휴지시작일자 has 116 (100.0%) missing valuesMissing
휴지종료일자 has 116 (100.0%) missing valuesMissing
폐지일자 has 116 (100.0%) missing valuesMissing
어린이집코드 has unique valuesUnique
어린이집명 has unique valuesUnique
CCTV설치수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴지시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴지종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐지일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보육교직원수 has 21 (18.1%) zerosZeros
현원수 has 22 (19.0%) zerosZeros

Reproduction

Analysis started2023-12-12 19:30:20.677860
Analysis finished2023-12-12 19:30:21.137841
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
경기도
116 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 116
100.0%

Length

2023-12-13T04:30:21.203005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:30:21.317423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 116
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
포천시
116 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
포천시 116
100.0%

Length

2023-12-13T04:30:21.722836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:30:21.807592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
포천시 116
100.0%

어린이집코드
Real number (ℝ)

UNIQUE 

Distinct116
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.06 × 1010
Minimum4.06 × 1010
Maximum4.06 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T04:30:21.912281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.06 × 1010
5-th percentile4.06 × 1010
Q14.06 × 1010
median4.06 × 1010
Q34.06 × 1010
95-th percentile4.06 × 1010
Maximum4.06 × 1010
Range233
Interquartile range (IQR)119

Descriptive statistics

Standard deviation73.929495
Coefficient of variation (CV)1.8209235 × 10-9
Kurtosis-1.2710494
Mean4.06 × 1010
Median Absolute Deviation (MAD)60
Skewness0.12731197
Sum4.7096 × 1012
Variance5465.5702
MonotonicityNot monotonic
2023-12-13T04:30:22.055074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40600000127 1
 
0.9%
40600000037 1
 
0.9%
40600000129 1
 
0.9%
40600000044 1
 
0.9%
40600000022 1
 
0.9%
40600000062 1
 
0.9%
40600000236 1
 
0.9%
40600000235 1
 
0.9%
40600000221 1
 
0.9%
40600000178 1
 
0.9%
Other values (106) 106
91.4%
ValueCountFrequency (%)
40600000003 1
0.9%
40600000004 1
0.9%
40600000005 1
0.9%
40600000006 1
0.9%
40600000008 1
0.9%
40600000009 1
0.9%
40600000010 1
0.9%
40600000011 1
0.9%
40600000012 1
0.9%
40600000013 1
0.9%
ValueCountFrequency (%)
40600000236 1
0.9%
40600000235 1
0.9%
40600000234 1
0.9%
40600000233 1
0.9%
40600000232 1
0.9%
40600000231 1
0.9%
40600000230 1
0.9%
40600000229 1
0.9%
40600000228 1
0.9%
40600000227 1
0.9%

어린이집명
Text

UNIQUE 

Distinct116
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-13T04:30:22.302958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length7.2672414
Min length6

Characters and Unicode

Total characters843
Distinct characters165
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

Unique116 ?
Unique (%)100.0%

Sample

1st row꼬꼬마어린이집
2nd row꿈과사랑으로쑥쑥크는어린이집
3rd row꿈동이어린이집
4th row꿈땅어린이집
5th row노블랜드어린이집
ValueCountFrequency (%)
꼬꼬마어린이집 1
 
0.9%
미소담어린이집 1
 
0.9%
연세어린이집 1
 
0.9%
에셀어린이집 1
 
0.9%
아이해뜰어린이집 1
 
0.9%
아이파크아이온어린이집 1
 
0.9%
아이파크드림어린이집 1
 
0.9%
아이뜰어린이집 1
 
0.9%
숲속나라어린이집 1
 
0.9%
수혜어린이집 1
 
0.9%
Other values (106) 106
91.4%
2023-12-13T04:30:22.695545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 132
15.7%
린 117
13.9%
어 116
 
13.8%
집 116
 
13.8%
아 18
 
2.1%
꿈 15
 
1.8%
나 13
 
1.5%
무 10
 
1.2%
천 7
 
0.8%
예 7
 
0.8%
Other values (155) 292
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 839
99.5%
Uppercase Letter 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 132
15.7%
린 117
13.9%
어 116
13.8%
집 116
13.8%
아 18
 
2.1%
꿈 15
 
1.8%
나 13
 
1.5%
무 10
 
1.2%
천 7
 
0.8%
예 7
 
0.8%
Other values (153) 288
34.3%
Uppercase Letter
ValueCountFrequency (%)
J 3
75.0%
Y 1
 
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 839
99.5%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 132
15.7%
린 117
13.9%
어 116
13.8%
집 116
13.8%
아 18
 
2.1%
꿈 15
 
1.8%
나 13
 
1.5%
무 10
 
1.2%
천 7
 
0.8%
예 7
 
0.8%
Other values (153) 288
34.3%
Latin
ValueCountFrequency (%)
J 3
75.0%
Y 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 839
99.5%
ASCII 4
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 132
15.7%
린 117
13.9%
어 116
13.8%
집 116
13.8%
아 18
 
2.1%
꿈 15
 
1.8%
나 13
 
1.5%
무 10
 
1.2%
천 7
 
0.8%
예 7
 
0.8%
Other values (153) 288
34.3%
ASCII
ValueCountFrequency (%)
J 3
75.0%
Y 1
 
25.0%

어린이집유형구분
Categorical

Distinct6
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
민간
47 
가정
41 
국공립
17 
직장
6 
법인·단체
 
4

Length

Max length5
Median length2
Mean length2.25
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
민간 47
40.5%
가정 41
35.3%
국공립 17
 
14.7%
직장 6
 
5.2%
법인·단체 4
 
3.4%
협동 1
 
0.9%

Length

2023-12-13T04:30:22.854355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:30:22.966215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간 47
40.5%
가정 41
35.3%
국공립 17
 
14.7%
직장 6
 
5.2%
법인·단체 4
 
3.4%
협동 1
 
0.9%

운영현황
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Y
92 
D
19 
A
 
4
R
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
Y 92
79.3%
D 19
 
16.4%
A 4
 
3.4%
R 1
 
0.9%

Length

2023-12-13T04:30:23.086440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:30:23.191783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 92
79.3%
d 19
 
16.4%
a 4
 
3.4%
r 1
 
0.9%

우편번호
Real number (ℝ)

Distinct42
Distinct (%)36.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11151.345
Minimum11101
Maximum11189
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T04:30:23.312489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11101
5-th percentile11105.75
Q111137.5
median11154
Q311173
95-th percentile11184
Maximum11189
Range88
Interquartile range (IQR)35.5

Descriptive statistics

Standard deviation25.489334
Coefficient of variation (CV)0.0022857632
Kurtosis-1.0085701
Mean11151.345
Median Absolute Deviation (MAD)19
Skewness-0.48397441
Sum1293556
Variance649.70615
MonotonicityNot monotonic
2023-12-13T04:30:23.475602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
11173 10
 
8.6%
11139 7
 
6.0%
11172 7
 
6.0%
11117 5
 
4.3%
11148 5
 
4.3%
11184 5
 
4.3%
11182 5
 
4.3%
11154 5
 
4.3%
11161 4
 
3.4%
11106 4
 
3.4%
Other values (32) 59
50.9%
ValueCountFrequency (%)
11101 1
 
0.9%
11104 4
3.4%
11105 1
 
0.9%
11106 4
3.4%
11111 2
 
1.7%
11112 1
 
0.9%
11113 1
 
0.9%
11116 2
 
1.7%
11117 5
4.3%
11120 2
 
1.7%
ValueCountFrequency (%)
11189 1
 
0.9%
11185 1
 
0.9%
11184 5
4.3%
11182 5
4.3%
11181 2
 
1.7%
11178 3
 
2.6%
11177 2
 
1.7%
11176 3
 
2.6%
11175 2
 
1.7%
11173 10
8.6%

상세주소
Text

Distinct114
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-13T04:30:23.715045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length29.974138
Min length17

Characters and Unicode

Total characters3477
Distinct characters144
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)96.6%

Sample

1st row경기도 포천시 소흘읍 태봉로 227 212동 103호(송천마을주공2단지)
2nd row경기도 포천시 소흘읍 태봉로 153 310동 105호(태봉마을주공3단지아파트)
3rd row경기도 포천시 소흘읍 태봉로 153 309동 104호(태봉마을주공3단지아파트)
4th row경기도 포천시 소흘읍 태봉로 153 307동 101호(태봉마을주공3단지아파트)
5th row경기도 포천시 소흘읍 태봉로 239 102동103호(석향마을대방노블랜드아파트)
ValueCountFrequency (%)
경기도 116
 
17.2%
포천시 116
 
17.2%
소흘읍 43
 
6.4%
태봉로 19
 
2.8%
신읍동 10
 
1.5%
호국로 10
 
1.5%
영북면 9
 
1.3%
일동면 9
 
1.3%
227 8
 
1.2%
신북면 8
 
1.2%
Other values (218) 325
48.3%
2023-12-13T04:30:24.086249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
557
 
16.0%
1 208
 
6.0%
천 136
 
3.9%
포 127
 
3.7%
기 121
 
3.5%
2 120
 
3.5%
경 118
 
3.4%
시 117
 
3.4%
도 116
 
3.3%
동 101
 
2.9%
Other values (134) 1756
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2042
58.7%
Decimal Number 709
 
20.4%
Space Separator 557
 
16.0%
Close Punctuation 64
 
1.8%
Open Punctuation 64
 
1.8%
Dash Punctuation 32
 
0.9%
Other Punctuation 9
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 136
 
6.7%
포 127
 
6.2%
기 121
 
5.9%
경 118
 
5.8%
시 117
 
5.7%
도 116
 
5.7%
동 101
 
4.9%
로 93
 
4.6%
호 63
 
3.1%
길 61
 
3.0%
Other values (119) 989
48.4%
Decimal Number
ValueCountFrequency (%)
1 208
29.3%
2 120
16.9%
0 96
13.5%
3 70
 
9.9%
5 53
 
7.5%
4 49
 
6.9%
7 35
 
4.9%
6 33
 
4.7%
8 27
 
3.8%
9 18
 
2.5%
Space Separator
ValueCountFrequency (%)
557
100.0%
Close Punctuation
ValueCountFrequency (%)
) 64
100.0%
Open Punctuation
ValueCountFrequency (%)
( 64
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2042
58.7%
Common 1435
41.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 136
 
6.7%
포 127
 
6.2%
기 121
 
5.9%
경 118
 
5.8%
시 117
 
5.7%
도 116
 
5.7%
동 101
 
4.9%
로 93
 
4.6%
호 63
 
3.1%
길 61
 
3.0%
Other values (119) 989
48.4%
Common
ValueCountFrequency (%)
557
38.8%
1 208
 
14.5%
2 120
 
8.4%
0 96
 
6.7%
3 70
 
4.9%
) 64
 
4.5%
( 64
 
4.5%
5 53
 
3.7%
4 49
 
3.4%
7 35
 
2.4%
Other values (5) 119
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2042
58.7%
ASCII 1435
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
557
38.8%
1 208
 
14.5%
2 120
 
8.4%
0 96
 
6.7%
3 70
 
4.9%
) 64
 
4.5%
( 64
 
4.5%
5 53
 
3.7%
4 49
 
3.4%
7 35
 
2.4%
Other values (5) 119
 
8.3%
Hangul
ValueCountFrequency (%)
천 136
 
6.7%
포 127
 
6.2%
기 121
 
5.9%
경 118
 
5.8%
시 117
 
5.7%
도 116
 
5.7%
동 101
 
4.9%
로 93
 
4.6%
호 63
 
3.1%
길 61
 
3.0%
Other values (119) 989
48.4%

어린이집전화번호
Text

Distinct115
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-13T04:30:24.356491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.025862
Min length12

Characters and Unicode

Total characters1395
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

Unique114 ?
Unique (%)98.3%

Sample

1st row031-544-0949
2nd row031-543-7933
3rd row031-544-8007
4th row031-544-2501
5th row031-544-2654
ValueCountFrequency (%)
031-532-0821 2
 
1.7%
031-541-1747 1
 
0.9%
031-533-1006 1
 
0.9%
031-543-8293 1
 
0.9%
031-544-0211 1
 
0.9%
031-535-1205 1
 
0.9%
031-533-4331 1
 
0.9%
031-544-5401 1
 
0.9%
031-541-6115 1
 
0.9%
031-543-9426 1
 
0.9%
Other values (105) 105
90.5%
2023-12-13T04:30:24.811023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 253
18.1%
- 232
16.6%
0 196
14.1%
1 194
13.9%
5 162
11.6%
4 118
8.5%
2 75
 
5.4%
8 53
 
3.8%
7 45
 
3.2%
6 36
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1163
83.4%
Dash Punctuation 232
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 253
21.8%
0 196
16.9%
1 194
16.7%
5 162
13.9%
4 118
10.1%
2 75
 
6.4%
8 53
 
4.6%
7 45
 
3.9%
6 36
 
3.1%
9 31
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 232
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1395
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 253
18.1%
- 232
16.6%
0 196
14.1%
1 194
13.9%
5 162
11.6%
4 118
8.5%
2 75
 
5.4%
8 53
 
3.8%
7 45
 
3.2%
6 36
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1395
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 253
18.1%
- 232
16.6%
0 196
14.1%
1 194
13.9%
5 162
11.6%
4 118
8.5%
2 75
 
5.4%
8 53
 
3.8%
7 45
 
3.2%
6 36
 
2.6%

어린이집팩스번호
Text

MISSING 

Distinct104
Distinct (%)95.4%
Missing7
Missing (%)6.0%
Memory size1.0 KiB
2023-12-13T04:30:25.139362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.027523
Min length12

Characters and Unicode

Total characters1311
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

Unique99 ?
Unique (%)90.8%

Sample

1st row031-544-0942
2nd row031-543-7933
3rd row031-541-9101
4th row031-544-2599
5th row031-544-2655
ValueCountFrequency (%)
031-532-0821 2
 
1.8%
031-534-6472 2
 
1.8%
031-531-1022 2
 
1.8%
031-541-1323 2
 
1.8%
031-544-9388 2
 
1.8%
031-532-4870 1
 
0.9%
031-533-1006 1
 
0.9%
031-543-0211 1
 
0.9%
031-544-5402 1
 
0.9%
031-544-6115 1
 
0.9%
Other values (94) 94
86.2%
2023-12-13T04:30:25.577278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 237
18.1%
- 218
16.6%
1 182
13.9%
0 178
13.6%
5 149
11.4%
4 110
8.4%
2 70
 
5.3%
8 46
 
3.5%
7 45
 
3.4%
9 40
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1093
83.4%
Dash Punctuation 218
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 237
21.7%
1 182
16.7%
0 178
16.3%
5 149
13.6%
4 110
10.1%
2 70
 
6.4%
8 46
 
4.2%
7 45
 
4.1%
9 40
 
3.7%
6 36
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 218
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1311
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 237
18.1%
- 218
16.6%
1 182
13.9%
0 178
13.6%
5 149
11.4%
4 110
8.4%
2 70
 
5.3%
8 46
 
3.5%
7 45
 
3.4%
9 40
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1311
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 237
18.1%
- 218
16.6%
1 182
13.9%
0 178
13.6%
5 149
11.4%
4 110
8.4%
2 70
 
5.3%
8 46
 
3.5%
7 45
 
3.4%
9 40
 
3.1%

홈페이지주소
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing95
Missing (%)81.9%
Memory size1.0 KiB
2023-12-13T04:30:25.852352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length30
Mean length23.238095
Min length16

Characters and Unicode

Total characters488
Distinct characters40
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st rowhttp://cafe.naver.com/kkumddang307
2nd rowsunchild1111@hanmail.net
3rd rowjkh740206@naver.com
4th rowsomiemo @hanmail.net
5th rowbg0534@naver.com
ValueCountFrequency (%)
http://cafe.naver.com/kkumddang307 1
 
4.3%
club.cyworld.com/5416115 1
 
4.3%
club.cyworld.com/smile-sun 1
 
4.3%
www.aramnara.co.kr 1
 
4.3%
https://cafe.naver.com/nschildren 1
 
4.3%
asdf7353@daum.net 1
 
4.3%
daum.net 1
 
4.3%
asdf7353 1
 
4.3%
cafe.daum.net/ynoblekids 1
 
4.3%
http://cafe.naver.com/ezer1004 1
 
4.3%
Other values (13) 13
56.5%
2023-12-13T04:30:26.286802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 39
 
8.0%
. 36
 
7.4%
n 32
 
6.6%
e 31
 
6.4%
m 27
 
5.5%
c 25
 
5.1%
t 22
 
4.5%
/ 22
 
4.5%
o 20
 
4.1%
d 18
 
3.7%
Other values (30) 216
44.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 357
73.2%
Other Punctuation 72
 
14.8%
Decimal Number 55
 
11.3%
Space Separator 2
 
0.4%
Uppercase Letter 1
 
0.2%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 39
 
10.9%
n 32
 
9.0%
e 31
 
8.7%
m 27
 
7.6%
c 25
 
7.0%
t 22
 
6.2%
o 20
 
5.6%
d 18
 
5.0%
s 16
 
4.5%
r 16
 
4.5%
Other values (14) 111
31.1%
Decimal Number
ValueCountFrequency (%)
1 11
20.0%
3 10
18.2%
0 8
14.5%
5 7
12.7%
4 6
10.9%
7 4
 
7.3%
2 4
 
7.3%
6 4
 
7.3%
9 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
. 36
50.0%
/ 22
30.6%
@ 8
 
11.1%
: 6
 
8.3%
Space Separator
ValueCountFrequency (%)
2
100.0%
Uppercase Letter
ValueCountFrequency (%)
Y 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 358
73.4%
Common 130
 
26.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 39
 
10.9%
n 32
 
8.9%
e 31
 
8.7%
m 27
 
7.5%
c 25
 
7.0%
t 22
 
6.1%
o 20
 
5.6%
d 18
 
5.0%
s 16
 
4.5%
r 16
 
4.5%
Other values (15) 112
31.3%
Common
ValueCountFrequency (%)
. 36
27.7%
/ 22
16.9%
1 11
 
8.5%
3 10
 
7.7%
@ 8
 
6.2%
0 8
 
6.2%
5 7
 
5.4%
: 6
 
4.6%
4 6
 
4.6%
7 4
 
3.1%
Other values (5) 12
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 488
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 39
 
8.0%
. 36
 
7.4%
n 32
 
6.6%
e 31
 
6.4%
m 27
 
5.5%
c 25
 
5.1%
t 22
 
4.5%
/ 22
 
4.5%
o 20
 
4.1%
d 18
 
3.7%
Other values (30) 216
44.3%

보육실수
Real number (ℝ)

Distinct12
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6896552
Minimum2
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T04:30:26.428277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median4
Q36
95-th percentile9.25
Maximum16
Range14
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.4545036
Coefficient of variation (CV)0.52338679
Kurtosis4.3491166
Mean4.6896552
Median Absolute Deviation (MAD)1
Skewness1.8420669
Sum544
Variance6.0245877
MonotonicityNot monotonic
2023-12-13T04:30:26.550166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3 43
37.1%
5 18
15.5%
4 17
 
14.7%
7 9
 
7.8%
2 8
 
6.9%
6 8
 
6.9%
8 6
 
5.2%
12 3
 
2.6%
16 1
 
0.9%
9 1
 
0.9%
Other values (2) 2
 
1.7%
ValueCountFrequency (%)
2 8
 
6.9%
3 43
37.1%
4 17
 
14.7%
5 18
15.5%
6 8
 
6.9%
7 9
 
7.8%
8 6
 
5.2%
9 1
 
0.9%
10 1
 
0.9%
11 1
 
0.9%
ValueCountFrequency (%)
16 1
 
0.9%
12 3
 
2.6%
11 1
 
0.9%
10 1
 
0.9%
9 1
 
0.9%
8 6
 
5.2%
7 9
7.8%
6 8
6.9%
5 18
15.5%
4 17
14.7%

보육실 면적
Real number (ℝ)

Distinct92
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean163.19828
Minimum26
Maximum665
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T04:30:26.725029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile43
Q159
median112
Q3226.25
95-th percentile469.25
Maximum665
Range639
Interquartile range (IQR)167.25

Descriptive statistics

Standard deviation136.72729
Coefficient of variation (CV)0.83779861
Kurtosis2.5261068
Mean163.19828
Median Absolute Deviation (MAD)58.5
Skewness1.6170314
Sum18931
Variance18694.352
MonotonicityNot monotonic
2023-12-13T04:30:26.884785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59 8
 
6.9%
43 3
 
2.6%
54 3
 
2.6%
57 2
 
1.7%
68 2
 
1.7%
69 2
 
1.7%
75 2
 
1.7%
73 2
 
1.7%
231 2
 
1.7%
217 2
 
1.7%
Other values (82) 88
75.9%
ValueCountFrequency (%)
26 1
 
0.9%
30 1
 
0.9%
35 1
 
0.9%
37 1
 
0.9%
43 3
2.6%
44 1
 
0.9%
46 1
 
0.9%
49 1
 
0.9%
50 1
 
0.9%
51 1
 
0.9%
ValueCountFrequency (%)
665 1
0.9%
594 1
0.9%
582 1
0.9%
566 1
0.9%
540 1
0.9%
482 1
0.9%
465 1
0.9%
412 1
0.9%
389 1
0.9%
385 1
0.9%

놀이터수
Categorical

Distinct3
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
58 
1
52 
2
6 

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 58
50.0%
1 52
44.8%
2 6
 
5.2%

Length

2023-12-13T04:30:27.077090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:30:27.213585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 58
50.0%
1 52
44.8%
2 6
 
5.2%

CCTV설치수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing116
Missing (%)100.0%
Memory size1.1 KiB

보육교직원수
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)19.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9482759
Minimum0
Maximum29
Zeros21
Zeros (%)18.1%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T04:30:27.336122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median7
Q310
95-th percentile18
Maximum29
Range29
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.1923443
Coefficient of variation (CV)0.77908019
Kurtosis1.2392771
Mean7.9482759
Median Absolute Deviation (MAD)3
Skewness0.96567088
Sum922
Variance38.345127
MonotonicityNot monotonic
2023-12-13T04:30:27.496194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 21
18.1%
7 12
10.3%
8 11
9.5%
9 11
9.5%
5 10
8.6%
6 9
7.8%
4 6
 
5.2%
10 5
 
4.3%
14 5
 
4.3%
17 4
 
3.4%
Other values (13) 22
19.0%
ValueCountFrequency (%)
0 21
18.1%
1 1
 
0.9%
3 2
 
1.7%
4 6
 
5.2%
5 10
8.6%
6 9
7.8%
7 12
10.3%
8 11
9.5%
9 11
9.5%
10 5
 
4.3%
ValueCountFrequency (%)
29 1
 
0.9%
27 1
 
0.9%
26 1
 
0.9%
24 1
 
0.9%
19 1
 
0.9%
18 4
3.4%
17 4
3.4%
16 2
 
1.7%
15 1
 
0.9%
14 5
4.3%

정원수
Real number (ℝ)

Distinct56
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.146552
Minimum0
Maximum200
Zeros1
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T04:30:27.688020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q119
median35
Q367.75
95-th percentile124
Maximum200
Range200
Interquartile range (IQR)48.75

Descriptive statistics

Standard deviation39.913876
Coefficient of variation (CV)0.8121399
Kurtosis1.836481
Mean49.146552
Median Absolute Deviation (MAD)19
Skewness1.4146049
Sum5701
Variance1593.1175
MonotonicityNot monotonic
2023-12-13T04:30:27.906757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 16
 
13.8%
39 7
 
6.0%
20 7
 
6.0%
99 5
 
4.3%
27 4
 
3.4%
13 4
 
3.4%
60 3
 
2.6%
70 3
 
2.6%
77 3
 
2.6%
12 3
 
2.6%
Other values (46) 61
52.6%
ValueCountFrequency (%)
0 1
 
0.9%
9 1
 
0.9%
11 2
 
1.7%
12 3
 
2.6%
13 4
 
3.4%
15 1
 
0.9%
16 3
 
2.6%
17 3
 
2.6%
18 2
 
1.7%
19 16
13.8%
ValueCountFrequency (%)
200 1
0.9%
180 1
0.9%
153 1
0.9%
150 1
0.9%
139 1
0.9%
127 1
0.9%
123 2
1.7%
118 1
0.9%
114 1
0.9%
109 1
0.9%

현원수
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)46.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.353448
Minimum0
Maximum155
Zeros22
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T04:30:28.087291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111
median20
Q342.25
95-th percentile91.25
Maximum155
Range155
Interquartile range (IQR)31.25

Descriptive statistics

Standard deviation33.068376
Coefficient of variation (CV)1.0546966
Kurtosis2.9978196
Mean31.353448
Median Absolute Deviation (MAD)19.5
Skewness1.6524788
Sum3637
Variance1093.5175
MonotonicityNot monotonic
2023-12-13T04:30:28.265373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22
 
19.0%
17 6
 
5.2%
25 5
 
4.3%
11 5
 
4.3%
12 4
 
3.4%
13 4
 
3.4%
42 4
 
3.4%
16 3
 
2.6%
14 3
 
2.6%
20 3
 
2.6%
Other values (44) 57
49.1%
ValueCountFrequency (%)
0 22
19.0%
4 1
 
0.9%
8 2
 
1.7%
9 2
 
1.7%
10 1
 
0.9%
11 5
 
4.3%
12 4
 
3.4%
13 4
 
3.4%
14 3
 
2.6%
15 1
 
0.9%
ValueCountFrequency (%)
155 1
0.9%
153 1
0.9%
146 1
0.9%
110 1
0.9%
100 1
0.9%
95 1
0.9%
90 1
0.9%
87 1
0.9%
86 1
0.9%
82 1
0.9%

위도
Real number (ℝ)

Distinct107
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.896133
Minimum37.769793
Maximum38.158882
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T04:30:28.473187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.769793
5-th percentile37.811528
Q137.830839
median37.871721
Q337.936549
95-th percentile38.087523
Maximum38.158882
Range0.38908844
Interquartile range (IQR)0.10570948

Descriptive statistics

Standard deviation0.084650116
Coefficient of variation (CV)0.0022337402
Kurtosis0.61020542
Mean37.896133
Median Absolute Deviation (MAD)0.044042895
Skewness1.1642938
Sum4395.9515
Variance0.0071656422
MonotonicityNot monotonic
2023-12-13T04:30:28.655076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.83083935 4
 
3.4%
37.82761143 3
 
2.6%
37.83460314 2
 
1.7%
37.90169699 2
 
1.7%
37.81152844 2
 
1.7%
37.82764122 2
 
1.7%
37.83369125 1
 
0.9%
37.82247794 1
 
0.9%
37.88960193 1
 
0.9%
37.8897572 1
 
0.9%
Other values (97) 97
83.6%
ValueCountFrequency (%)
37.7697932 1
0.9%
37.78709066 1
0.9%
37.78898072 1
0.9%
37.80782508 1
0.9%
37.81096204 1
0.9%
37.81152844 2
1.7%
37.8172808 1
0.9%
37.81888192 1
0.9%
37.81938826 1
0.9%
37.82162046 1
0.9%
ValueCountFrequency (%)
38.15888164 1
0.9%
38.09396326 1
0.9%
38.09193923 1
0.9%
38.09174536 1
0.9%
38.09061681 1
0.9%
38.08897655 1
0.9%
38.08703864 1
0.9%
38.08658478 1
0.9%
38.08481103 1
0.9%
38.08470281 1
0.9%

경도
Real number (ℝ)

Distinct106
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.19603
Minimum126.97796
Maximum127.37458
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T04:30:28.890153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.97796
5-th percentile127.1353
Q1127.1463
median127.18487
Q3127.22983
95-th percentile127.31999
Maximum127.37458
Range0.3966168
Interquartile range (IQR)0.083525275

Descriptive statistics

Standard deviation0.069278623
Coefficient of variation (CV)0.00054466027
Kurtosis1.0820838
Mean127.19603
Median Absolute Deviation (MAD)0.03922515
Skewness0.33943907
Sum14754.739
Variance0.0047995275
MonotonicityNot monotonic
2023-12-13T04:30:29.099093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1394691 4
 
3.4%
127.1452477 3
 
2.6%
127.147471 2
 
1.7%
126.977963 2
 
1.7%
127.2025988 2
 
1.7%
127.133045 2
 
1.7%
127.1374696 2
 
1.7%
127.147299 1
 
0.9%
127.2030234 1
 
0.9%
127.154751 1
 
0.9%
Other values (96) 96
82.8%
ValueCountFrequency (%)
126.977963 2
1.7%
127.1307593 1
0.9%
127.133045 2
1.7%
127.1346843 1
0.9%
127.1355062 1
0.9%
127.1359019 1
0.9%
127.1359085 1
0.9%
127.1366514 1
0.9%
127.136762 1
0.9%
127.1374696 2
1.7%
ValueCountFrequency (%)
127.3745798 1
0.9%
127.3726363 1
0.9%
127.3690251 1
0.9%
127.324964 1
0.9%
127.3223645 1
0.9%
127.3210783 1
0.9%
127.319631 1
0.9%
127.3185804 1
0.9%
127.3183971 1
0.9%
127.3172837 1
0.9%

통학차량운영여부
Boolean

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size248.0 B
True
95 
False
21 
ValueCountFrequency (%)
True 95
81.9%
False 21
 
18.1%
2023-12-13T04:30:29.249052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

인가일자
Date

Distinct105
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum1991-02-27 00:00:00
Maximum2019-02-18 00:00:00
2023-12-13T04:30:29.399565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:30:29.574964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴지시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing116
Missing (%)100.0%
Memory size1.1 KiB

휴지종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing116
Missing (%)100.0%
Memory size1.1 KiB

폐지일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing116
Missing (%)100.0%
Memory size1.1 KiB

제공서비스
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
일반
116 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반 116
100.0%

Length

2023-12-13T04:30:29.711603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:30:29.839775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 116
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2020-09-25
116 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-09-25
2nd row2020-09-25
3rd row2020-09-25
4th row2020-09-25
5th row2020-09-25

Common Values

ValueCountFrequency (%)
2020-09-25 116
100.0%

Length

2023-12-13T04:30:29.976854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:30:30.117285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-09-25 116
100.0%

Sample

시도명시군구명어린이집코드어린이집명어린이집유형구분운영현황우편번호상세주소어린이집전화번호어린이집팩스번호홈페이지주소보육실수보육실 면적놀이터수CCTV설치수보육교직원수정원수현원수위도경도통학차량운영여부인가일자휴지시작일자휴지종료일자폐지일자제공서비스데이터기준일자
0경기도포천시40600000127꼬꼬마어린이집가정A11173경기도 포천시 소흘읍 태봉로 227 212동 103호(송천마을주공2단지)031-544-0949031-544-0942<NA>3570<NA>6121237.833691127.147299Y2006-07-04<NA><NA><NA>일반2020-09-25
1경기도포천시40600000087꿈과사랑으로쑥쑥크는어린이집가정R11172경기도 포천시 소흘읍 태봉로 153 310동 105호(태봉마을주공3단지아파트)031-543-7933031-543-7933<NA>3440<NA>012037.830839127.139469Y2005-10-20<NA><NA><NA>일반2020-09-25
2경기도포천시40600000096꿈동이어린이집가정Y11172경기도 포천시 소흘읍 태봉로 153 309동 104호(태봉마을주공3단지아파트)031-544-8007031-541-9101<NA>3590<NA>519837.83723127.155012Y2005-06-27<NA><NA><NA>일반2020-09-25
3경기도포천시40600000142꿈땅어린이집가정Y11172경기도 포천시 소흘읍 태봉로 153 307동 101호(태봉마을주공3단지아파트)031-544-2501031-544-2599http://cafe.naver.com/kkumddang3073590<NA>6191737.834603127.147471Y2007-03-06<NA><NA><NA>일반2020-09-25
4경기도포천시40600000097노블랜드어린이집가정Y11173경기도 포천시 소흘읍 태봉로 239 102동103호(석향마을대방노블랜드아파트)031-544-2654031-544-2655<NA>3580<NA>419437.833947127.149509Y2006-04-12<NA><NA><NA>일반2020-09-25
5경기도포천시40600000215늘푸른어린이집가정Y11162경기도 포천시 선마로 22 102동 105호 (선단동, 세창선단마을아파트)031-542-6918031-542-6918<NA>3580<NA>4191237.850327127.168139Y2012-03-21<NA><NA><NA>일반2020-09-25
6경기도포천시40600000105도담도담어린이집가정Y11172경기도 포천시 소흘읍 태봉로 153 309동 101호(태봉마을주공3단지아파트)031-542-4360031-542-4360<NA>3590<NA>5191137.830839127.139469Y2005-09-16<NA><NA><NA>일반2020-09-25
7경기도포천시40600000093리라어린이집가정D11177경기도 포천시 소흘읍 태봉로 124 407동 104호(고운마을주공4단지아파트)031-544-0551031-543-7605<NA>2260<NA>09037.787091127.136651N2006-03-27<NA><NA><NA>일반2020-09-25
8경기도포천시40600000143리틀킹어린이집가정Y11172경기도 포천시 소흘읍 태봉로 153 317동 101호(태봉마을주공3단지아파트)031-544-2143031-544-2143<NA>3370<NA>513837.830839127.139469Y2007-03-02<NA><NA><NA>일반2020-09-25
9경기도포천시40600000086반디어린이집가정D11172경기도 포천시 소흘읍 태봉로 153 303동 102호(태봉마을주공3단지아파트)031-543-2025031-541-7374<NA>2430<NA>015037.830839127.139469Y2006-03-27<NA><NA><NA>일반2020-09-25
시도명시군구명어린이집코드어린이집명어린이집유형구분운영현황우편번호상세주소어린이집전화번호어린이집팩스번호홈페이지주소보육실수보육실 면적놀이터수CCTV설치수보육교직원수정원수현원수위도경도통학차량운영여부인가일자휴지시작일자휴지종료일자폐지일자제공서비스데이터기준일자
106경기도포천시40600000021양문어린이집법인·단체D11129경기도 포천시 영중면 양문로5길 18031-531-0008031-532-9490<NA>51521<NA>054038.001443127.240478Y1991-02-27<NA><NA><NA>일반2020-09-25
107경기도포천시40600000004영북어린이집법인·단체Y11106경기도 포천시 영북면 영북로133번길 23031-534-7405031-533-3897<NA>3901<NA>8272438.086585127.272173Y1998-01-14<NA><NA><NA>일반2020-09-25
108경기도포천시40600000010창수어린이집법인·단체Y11133경기도 포천시 창수면 옥수로 443-1031-533-7986031-531-4023<NA>3490<NA>7211438.018847127.181663Y1998-09-23<NA><NA><NA>일반2020-09-25
109경기도포천시40600000208산내들도담어린이집직장Y11104경기도 포천시 영북면 영북로 210031-531-3676031-531-3676<NA>4640<NA>6242238.093963127.277405N2011-09-19<NA><NA><NA>일반2020-09-25
110경기도포천시40600000230산내들어린이집직장Y11104경기도 포천시 영북면 영북로 206031-533-3113031-533-1144san3534@hanmail.net72881<NA>17987938.091939127.276818N2015-02-27<NA><NA><NA>일반2020-09-25
111경기도포천시40600000232승진어린이집직장Y11123경기도 포천시 화현면 화동로 587-1031-533-5877031-533-5877<NA>72151<NA>8454237.918893126.977963N2016-02-17<NA><NA><NA>일반2020-09-25
112경기도포천시40600000231아이파크어린이집직장Y11111경기도 포천시 이동면 화동로 2144-74031-536-1289031-534-1289<NA>72341<NA>10545438.036034127.372636N2015-03-06<NA><NA><NA>일반2020-09-25
113경기도포천시40600000220오코빌어린이집직장Y11120경기도 포천시 일동면 소야길 52 (오뚜기빌 관리동)031-532-3079031-532-3079<NA>4851<NA>9222037.957443127.310474N2012-08-16<NA><NA><NA>일반2020-09-25
114경기도포천시40600000008포천시청어린이집직장Y11147경기도 포천시 중앙로 87 (신읍동)031-531-8844031-538-2897<NA>62311<NA>14606037.894621127.200177N2003-02-28<NA><NA><NA>일반2020-09-25
115경기도포천시40600000233원암어린이집협동Y11170경기도 포천시 소흘읍 송선로 67 원암어린이집031-544-2177031-544-2101<NA>125661<NA>1713910037.839217126.977963Y2017-04-06<NA><NA><NA>일반2020-09-25