Overview

Dataset statistics

Number of variables23
Number of observations69
Missing cells59
Missing cells (%)3.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.3 KiB
Average record size in memory197.9 B

Variable types

Numeric11
Boolean1
Categorical5
Text5
DateTime1

Dataset

Description부산광역시금정구_어린이집_20230916
Author부산광역시 금정구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15100169

Alerts

운영현황 has constant value ""Constant
팩스번호 has 6 (8.7%) missing valuesMissing
홈페이지주소 has 53 (76.8%) missing valuesMissing
연번 has unique valuesUnique
어린이집 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique
어린이집코드 has unique valuesUnique
cctv설치 has 1 (1.4%) zerosZeros
아동현원 has 1 (1.4%) zerosZeros

Reproduction

Analysis started2023-12-10 16:12:27.882229
Analysis finished2023-12-10 16:12:28.317292
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35
Minimum1
Maximum69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2023-12-11T01:12:28.411337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.4
Q118
median35
Q352
95-th percentile65.6
Maximum69
Range68
Interquartile range (IQR)34

Descriptive statistics

Standard deviation20.062403
Coefficient of variation (CV)0.5732115
Kurtosis-1.2
Mean35
Median Absolute Deviation (MAD)17
Skewness0
Sum2415
Variance402.5
MonotonicityStrictly increasing
2023-12-11T01:12:28.617517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
45 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
46 1
 
1.4%
44 1
 
1.4%
53 1
 
1.4%
Other values (59) 59
85.5%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%
62 1
1.4%
61 1
1.4%
60 1
1.4%

운영현황
Boolean

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size201.0 B
True
69 
ValueCountFrequency (%)
True 69
100.0%
2023-12-11T01:12:28.776940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

어린이집유형
Categorical

Distinct6
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size684.0 B
민간
33 
국공립
14 
가정
14 
사회복지법인
4 
직장
 
3

Length

Max length6
Median length2
Mean length2.4927536
Min length2

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
민간 33
47.8%
국공립 14
20.3%
가정 14
20.3%
사회복지법인 4
 
5.8%
직장 3
 
4.3%
법인·단체등 1
 
1.4%

Length

2023-12-11T01:12:28.893570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:12:29.015588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간 33
47.8%
국공립 14
20.3%
가정 14
20.3%
사회복지법인 4
 
5.8%
직장 3
 
4.3%
법인·단체등 1
 
1.4%

어린이집
Text

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-11T01:12:29.234723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length7.5507246
Min length6

Characters and Unicode

Total characters521
Distinct characters121
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

Unique69 ?
Unique (%)100.0%

Sample

1st rowBNK금정어린이집
2nd row공립구서어린이집
3rd row공립부곡복지어린이집
4th row구서SK뷰해야어린이집
5th row구서롯데어린이집
ValueCountFrequency (%)
어린이집 7
 
9.0%
bnk금정어린이집 1
 
1.3%
수연어린이집 1
 
1.3%
아이미래어린이집 1
 
1.3%
아이누리어린이집 1
 
1.3%
씨드키즈어린이집 1
 
1.3%
쌍용예가어린이집 1
 
1.3%
신명어린이집 1
 
1.3%
서동어린이집 1
 
1.3%
성심어린이집 1
 
1.3%
Other values (62) 62
79.5%
2023-12-11T01:12:29.653624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 75
 
14.4%
린 70
 
13.4%
어 69
 
13.2%
집 69
 
13.2%
9
 
1.7%
산 9
 
1.7%
동 9
 
1.7%
미 6
 
1.2%
금 6
 
1.2%
서 6
 
1.2%
Other values (111) 193
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 505
96.9%
Space Separator 9
 
1.7%
Uppercase Letter 7
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 75
14.9%
린 70
 
13.9%
어 69
 
13.7%
집 69
 
13.7%
산 9
 
1.8%
동 9
 
1.8%
미 6
 
1.2%
금 6
 
1.2%
서 6
 
1.2%
정 5
 
1.0%
Other values (106) 181
35.8%
Uppercase Letter
ValueCountFrequency (%)
K 3
42.9%
S 2
28.6%
B 1
 
14.3%
N 1
 
14.3%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 505
96.9%
Common 9
 
1.7%
Latin 7
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 75
14.9%
린 70
 
13.9%
어 69
 
13.7%
집 69
 
13.7%
산 9
 
1.8%
동 9
 
1.8%
미 6
 
1.2%
금 6
 
1.2%
서 6
 
1.2%
정 5
 
1.0%
Other values (106) 181
35.8%
Latin
ValueCountFrequency (%)
K 3
42.9%
S 2
28.6%
B 1
 
14.3%
N 1
 
14.3%
Common
ValueCountFrequency (%)
9
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 505
96.9%
ASCII 16
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 75
14.9%
린 70
 
13.9%
어 69
 
13.7%
집 69
 
13.7%
산 9
 
1.8%
동 9
 
1.8%
미 6
 
1.2%
금 6
 
1.2%
서 6
 
1.2%
정 5
 
1.0%
Other values (106) 181
35.8%
ASCII
ValueCountFrequency (%)
9
56.2%
K 3
 
18.8%
S 2
 
12.5%
B 1
 
6.2%
N 1
 
6.2%

인가일
Date

Distinct62
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
Minimum1975-04-30 00:00:00
Maximum2022-12-01 00:00:00
2023-12-11T01:12:29.807418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:12:29.961958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

cctv설치
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4637681
Minimum0
Maximum24
Zeros1
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size753.0 B
2023-12-11T01:12:30.078691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q15
median8
Q310
95-th percentile16
Maximum24
Range24
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.2515731
Coefficient of variation (CV)0.50232627
Kurtosis1.992431
Mean8.4637681
Median Absolute Deviation (MAD)3
Skewness1.0927394
Sum584
Variance18.075874
MonotonicityNot monotonic
2023-12-11T01:12:30.223680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
4 16
23.2%
8 10
14.5%
7 8
11.6%
10 8
11.6%
9 7
10.1%
16 4
 
5.8%
11 3
 
4.3%
13 3
 
4.3%
5 3
 
4.3%
14 2
 
2.9%
Other values (5) 5
 
7.2%
ValueCountFrequency (%)
0 1
 
1.4%
4 16
23.2%
5 3
 
4.3%
6 1
 
1.4%
7 8
11.6%
8 10
14.5%
9 7
10.1%
10 8
11.6%
11 3
 
4.3%
12 1
 
1.4%
ValueCountFrequency (%)
24 1
 
1.4%
20 1
 
1.4%
16 4
 
5.8%
14 2
 
2.9%
13 3
 
4.3%
12 1
 
1.4%
11 3
 
4.3%
10 8
11.6%
9 7
10.1%
8 10
14.5%

통학차량운영
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
운영(신고)
48 
미운영
21 

Length

Max length6
Median length6
Mean length5.0869565
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영(신고) 48
69.6%
미운영 21
30.4%

Length

2023-12-11T01:12:30.347392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:12:30.455498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영(신고 48
69.6%
미운영 21
30.4%

행정동
Categorical

Distinct15
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size684.0 B
남산동
9 
장전제2동
9 
부곡제2동
8 
장전제1동
7 
구서제2동
7 
Other values (10)
29 

Length

Max length5
Median length5
Mean length4.5942029
Min length3

Unique

Unique5 ?
Unique (%)7.2%

Sample

1st row장전제1동
2nd row구서제2동
3rd row부곡제1동
4th row구서제1동
5th row구서제2동

Common Values

ValueCountFrequency (%)
남산동 9
13.0%
장전제2동 9
13.0%
부곡제2동 8
11.6%
장전제1동 7
10.1%
구서제2동 7
10.1%
부곡제3동 7
10.1%
서제3동 6
8.7%
구서제1동 5
7.2%
부곡제1동 4
5.8%
금사회동동 2
 
2.9%
Other values (5) 5
7.2%

Length

2023-12-11T01:12:30.565381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
남산동 9
13.0%
장전제2동 9
13.0%
부곡제2동 8
11.6%
장전제1동 7
10.1%
구서제2동 7
10.1%
부곡제3동 7
10.1%
서제3동 6
8.7%
구서제1동 5
7.2%
부곡제1동 4
5.8%
금사회동동 2
 
2.9%
Other values (5) 5
7.2%

우편번호
Real number (ℝ)

Distinct51
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46268.507
Minimum46215
Maximum46334
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2023-12-11T01:12:30.708144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46215
5-th percentile46217.4
Q146241
median46272
Q346296
95-th percentile46317.2
Maximum46334
Range119
Interquartile range (IQR)55

Descriptive statistics

Standard deviation33.991618
Coefficient of variation (CV)0.00073465992
Kurtosis-1.2073152
Mean46268.507
Median Absolute Deviation (MAD)29
Skewness-0.014697926
Sum3192527
Variance1155.4301
MonotonicityNot monotonic
2023-12-11T01:12:30.849760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46217 3
 
4.3%
46296 3
 
4.3%
46230 3
 
4.3%
46269 2
 
2.9%
46271 2
 
2.9%
46316 2
 
2.9%
46275 2
 
2.9%
46298 2
 
2.9%
46277 2
 
2.9%
46278 2
 
2.9%
Other values (41) 46
66.7%
ValueCountFrequency (%)
46215 1
 
1.4%
46217 3
4.3%
46218 1
 
1.4%
46219 2
2.9%
46220 1
 
1.4%
46221 1
 
1.4%
46224 1
 
1.4%
46230 3
4.3%
46231 1
 
1.4%
46232 1
 
1.4%
ValueCountFrequency (%)
46334 1
1.4%
46328 1
1.4%
46321 1
1.4%
46318 1
1.4%
46316 2
2.9%
46315 1
1.4%
46313 2
2.9%
46307 1
1.4%
46305 2
2.9%
46304 1
1.4%

주소
Text

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-11T01:12:31.136672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length39
Mean length29.695652
Min length16

Characters and Unicode

Total characters2049
Distinct characters135
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

Unique69 ?
Unique (%)100.0%

Sample

1st row부산광역시 금정구 금강로 324 (장전동)
2nd row부산광역시 금정구 금강로 503 롯데캐슬골드 2단지내 (구서동)
3rd row부산광역시 금정구 동현로 67 2차상가동내(부곡동, 부곡시영아파트)
4th row부산광역시 금정구 금샘로246번길 18 구서동, 구서SK뷰1단지아파트
5th row부산광역시 금정구 금강로 502 관리동(구서동,롯데캐슬골드1단지)
ValueCountFrequency (%)
금정구 70
 
18.5%
부산광역시 69
 
18.2%
장전동 9
 
2.4%
서동 7
 
1.8%
구서동 7
 
1.8%
금강로 5
 
1.3%
부곡동 5
 
1.3%
50 4
 
1.1%
금정로 3
 
0.8%
남산동 3
 
0.8%
Other values (166) 197
52.0%
2023-12-11T01:12:31.812257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
311
 
15.2%
금 109
 
5.3%
부 96
 
4.7%
산 87
 
4.2%
구 85
 
4.1%
정 82
 
4.0%
1 75
 
3.7%
역 72
 
3.5%
시 71
 
3.5%
로 71
 
3.5%
Other values (125) 990
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1285
62.7%
Decimal Number 333
 
16.3%
Space Separator 311
 
15.2%
Close Punctuation 45
 
2.2%
Open Punctuation 45
 
2.2%
Other Punctuation 17
 
0.8%
Dash Punctuation 9
 
0.4%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 109
 
8.5%
부 96
 
7.5%
산 87
 
6.8%
구 85
 
6.6%
정 82
 
6.4%
역 72
 
5.6%
시 71
 
5.5%
로 71
 
5.5%
동 71
 
5.5%
광 69
 
5.4%
Other values (108) 472
36.7%
Decimal Number
ValueCountFrequency (%)
1 75
22.5%
2 44
13.2%
0 41
12.3%
5 35
10.5%
3 32
9.6%
4 27
 
8.1%
7 26
 
7.8%
6 24
 
7.2%
8 16
 
4.8%
9 13
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
K 2
50.0%
S 2
50.0%
Space Separator
ValueCountFrequency (%)
311
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1285
62.7%
Common 760
37.1%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 109
 
8.5%
부 96
 
7.5%
산 87
 
6.8%
구 85
 
6.6%
정 82
 
6.4%
역 72
 
5.6%
시 71
 
5.5%
로 71
 
5.5%
동 71
 
5.5%
광 69
 
5.4%
Other values (108) 472
36.7%
Common
ValueCountFrequency (%)
311
40.9%
1 75
 
9.9%
) 45
 
5.9%
( 45
 
5.9%
2 44
 
5.8%
0 41
 
5.4%
5 35
 
4.6%
3 32
 
4.2%
4 27
 
3.6%
7 26
 
3.4%
Other values (5) 79
 
10.4%
Latin
ValueCountFrequency (%)
K 2
50.0%
S 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1285
62.7%
ASCII 764
37.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
311
40.7%
1 75
 
9.8%
) 45
 
5.9%
( 45
 
5.9%
2 44
 
5.8%
0 41
 
5.4%
5 35
 
4.6%
3 32
 
4.2%
4 27
 
3.5%
7 26
 
3.4%
Other values (7) 83
 
10.9%
Hangul
ValueCountFrequency (%)
금 109
 
8.5%
부 96
 
7.5%
산 87
 
6.8%
구 85
 
6.6%
정 82
 
6.4%
역 72
 
5.6%
시 71
 
5.5%
로 71
 
5.5%
동 71
 
5.5%
광 69
 
5.4%
Other values (108) 472
36.7%

어린이집특성
Categorical

Distinct7
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Memory size684.0 B
일반
50 
야간연장
9 
일반,시간제보육
 
4
영아전담
 
2
야간연장,시간제보육
 
2
Other values (2)
 
2

Length

Max length10
Median length2
Mean length2.9710145
Min length2

Unique

Unique2 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
일반 50
72.5%
야간연장 9
 
13.0%
일반,시간제보육 4
 
5.8%
영아전담 2
 
2.9%
야간연장,시간제보육 2
 
2.9%
24시간 1
 
1.4%
장애아전문 1
 
1.4%

Length

2023-12-11T01:12:31.952613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:12:32.103555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 50
72.5%
야간연장 9
 
13.0%
일반,시간제보육 4
 
5.8%
영아전담 2
 
2.9%
야간연장,시간제보육 2
 
2.9%
24시간 1
 
1.4%
장애아전문 1
 
1.4%

정원
Real number (ℝ)

Distinct45
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.637681
Minimum16
Maximum223
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2023-12-11T01:12:32.277847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile19
Q129
median46
Q366
95-th percentile118
Maximum223
Range207
Interquartile range (IQR)37

Descriptive statistics

Standard deviation37.102787
Coefficient of variation (CV)0.67906957
Kurtosis5.4728564
Mean54.637681
Median Absolute Deviation (MAD)20
Skewness1.91554
Sum3770
Variance1376.6168
MonotonicityNot monotonic
2023-12-11T01:12:32.422434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
19 8
 
11.6%
39 5
 
7.2%
20 5
 
7.2%
46 3
 
4.3%
40 2
 
2.9%
53 2
 
2.9%
49 2
 
2.9%
57 2
 
2.9%
47 2
 
2.9%
100 2
 
2.9%
Other values (35) 36
52.2%
ValueCountFrequency (%)
16 1
 
1.4%
17 1
 
1.4%
19 8
11.6%
20 5
7.2%
24 1
 
1.4%
26 1
 
1.4%
29 1
 
1.4%
30 1
 
1.4%
31 1
 
1.4%
32 1
 
1.4%
ValueCountFrequency (%)
223 1
1.4%
147 1
1.4%
141 1
1.4%
118 2
2.9%
101 1
1.4%
100 2
2.9%
97 1
1.4%
95 1
1.4%
92 1
1.4%
89 1
1.4%

아동현원
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)69.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.202899
Minimum0
Maximum177
Zeros1
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size753.0 B
2023-12-11T01:12:32.546913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q117
median28
Q347
95-th percentile85.2
Maximum177
Range177
Interquartile range (IQR)30

Descriptive statistics

Standard deviation30.414093
Coefficient of variation (CV)0.81751944
Kurtosis6.6675817
Mean37.202899
Median Absolute Deviation (MAD)14
Skewness2.170039
Sum2567
Variance925.01705
MonotonicityNot monotonic
2023-12-11T01:12:32.671387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
10 4
 
5.8%
25 4
 
5.8%
15 3
 
4.3%
33 3
 
4.3%
14 3
 
4.3%
28 2
 
2.9%
22 2
 
2.9%
45 2
 
2.9%
27 2
 
2.9%
18 2
 
2.9%
Other values (38) 42
60.9%
ValueCountFrequency (%)
0 1
 
1.4%
6 1
 
1.4%
7 1
 
1.4%
8 2
2.9%
10 4
5.8%
12 1
 
1.4%
14 3
4.3%
15 3
4.3%
16 1
 
1.4%
17 2
2.9%
ValueCountFrequency (%)
177 1
1.4%
135 1
1.4%
104 1
1.4%
88 1
1.4%
81 1
1.4%
79 1
1.4%
72 1
1.4%
67 1
1.4%
65 2
2.9%
64 1
1.4%

보육교직원현원
Real number (ℝ)

Distinct21
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.231884
Minimum3
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2023-12-11T01:12:32.790052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q17
median10
Q314
95-th percentile22.6
Maximum43
Range40
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.6313536
Coefficient of variation (CV)0.59040439
Kurtosis7.2155218
Mean11.231884
Median Absolute Deviation (MAD)4
Skewness2.0911532
Sum775
Variance43.974851
MonotonicityNot monotonic
2023-12-11T01:12:32.908974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
10 8
11.6%
5 8
11.6%
15 7
10.1%
11 5
 
7.2%
8 5
 
7.2%
12 4
 
5.8%
6 4
 
5.8%
13 4
 
5.8%
7 4
 
5.8%
9 3
 
4.3%
Other values (11) 17
24.6%
ValueCountFrequency (%)
3 2
 
2.9%
4 3
 
4.3%
5 8
11.6%
6 4
5.8%
7 4
5.8%
8 5
7.2%
9 3
 
4.3%
10 8
11.6%
11 5
7.2%
12 4
5.8%
ValueCountFrequency (%)
43 1
 
1.4%
30 1
 
1.4%
23 2
 
2.9%
22 1
 
1.4%
21 1
 
1.4%
19 1
 
1.4%
18 1
 
1.4%
17 1
 
1.4%
15 7
10.1%
14 3
4.3%

전화번호
Text

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-11T01:12:33.262248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters828
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

Unique69 ?
Unique (%)100.0%

Sample

1st row051-513-2561
2nd row051-518-1437
3rd row051-515-2066
4th row051-583-4110
5th row051-912-5158
ValueCountFrequency (%)
051-513-2561 1
 
1.4%
051-522-0818 1
 
1.4%
051-513-9990 1
 
1.4%
051-951-5115 1
 
1.4%
051-513-8108 1
 
1.4%
051-517-5936 1
 
1.4%
051-711-2588 1
 
1.4%
051-517-7454 1
 
1.4%
051-514-4327 1
 
1.4%
051-512-3533 1
 
1.4%
Other values (59) 59
85.5%
2023-12-11T01:12:33.729941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 166
20.0%
1 152
18.4%
- 138
16.7%
0 110
13.3%
2 46
 
5.6%
3 43
 
5.2%
7 42
 
5.1%
9 36
 
4.3%
8 36
 
4.3%
6 31
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 690
83.3%
Dash Punctuation 138
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 166
24.1%
1 152
22.0%
0 110
15.9%
2 46
 
6.7%
3 43
 
6.2%
7 42
 
6.1%
9 36
 
5.2%
8 36
 
5.2%
6 31
 
4.5%
4 28
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 138
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 828
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 166
20.0%
1 152
18.4%
- 138
16.7%
0 110
13.3%
2 46
 
5.6%
3 43
 
5.2%
7 42
 
5.1%
9 36
 
4.3%
8 36
 
4.3%
6 31
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 828
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 166
20.0%
1 152
18.4%
- 138
16.7%
0 110
13.3%
2 46
 
5.6%
3 43
 
5.2%
7 42
 
5.1%
9 36
 
4.3%
8 36
 
4.3%
6 31
 
3.7%

어린이집코드
Real number (ℝ)

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.641 × 1010
Minimum2.641 × 1010
Maximum2.641 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2023-12-11T01:12:33.903919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.641 × 1010
5-th percentile2.641 × 1010
Q12.641 × 1010
median2.641 × 1010
Q32.641 × 1010
95-th percentile2.641 × 1010
Maximum2.641 × 1010
Range187
Interquartile range (IQR)111

Descriptive statistics

Standard deviation64.081021
Coefficient of variation (CV)2.4263923 × 10-9
Kurtosis-1.4047115
Mean2.641 × 1010
Median Absolute Deviation (MAD)55
Skewness0.22052855
Sum1.82229 × 1012
Variance4106.3772
MonotonicityNot monotonic
2023-12-11T01:12:34.051672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26410000174 1
 
1.4%
26410000134 1
 
1.4%
26410000026 1
 
1.4%
26410000171 1
 
1.4%
26410000182 1
 
1.4%
26410000126 1
 
1.4%
26410000188 1
 
1.4%
26410000011 1
 
1.4%
26410000122 1
 
1.4%
26410000169 1
 
1.4%
Other values (59) 59
85.5%
ValueCountFrequency (%)
26410000001 1
1.4%
26410000003 1
1.4%
26410000004 1
1.4%
26410000005 1
1.4%
26410000006 1
1.4%
26410000008 1
1.4%
26410000009 1
1.4%
26410000010 1
1.4%
26410000011 1
1.4%
26410000012 1
1.4%
ValueCountFrequency (%)
26410000188 1
1.4%
26410000187 1
1.4%
26410000186 1
1.4%
26410000185 1
1.4%
26410000184 1
1.4%
26410000183 1
1.4%
26410000182 1
1.4%
26410000181 1
1.4%
26410000180 1
1.4%
26410000179 1
1.4%

팩스번호
Text

MISSING 

Distinct63
Distinct (%)100.0%
Missing6
Missing (%)8.7%
Memory size684.0 B
2023-12-11T01:12:34.365957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.111111
Min length12

Characters and Unicode

Total characters763
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

Unique63 ?
Unique (%)100.0%

Sample

1st row051-513-2562
2nd row051-517-2552
3rd row051-516-1963
4th row051-936-5158
5th row051-583-5159
ValueCountFrequency (%)
051-513-2562 1
 
1.6%
051-528-6996 1
 
1.6%
051-581-3209 1
 
1.6%
051-522-0309 1
 
1.6%
051-926-7779 1
 
1.6%
051-515-0631 1
 
1.6%
051-513-8385 1
 
1.6%
051-515-1012 1
 
1.6%
051-527-2097 1
 
1.6%
051-514-4327 1
 
1.6%
Other values (53) 53
84.1%
2023-12-11T01:12:34.759257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 142
18.6%
- 126
16.5%
1 119
15.6%
0 115
15.1%
2 48
 
6.3%
9 43
 
5.6%
3 42
 
5.5%
7 37
 
4.8%
6 34
 
4.5%
8 29
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 637
83.5%
Dash Punctuation 126
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 142
22.3%
1 119
18.7%
0 115
18.1%
2 48
 
7.5%
9 43
 
6.8%
3 42
 
6.6%
7 37
 
5.8%
6 34
 
5.3%
8 29
 
4.6%
4 28
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 126
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 763
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 142
18.6%
- 126
16.5%
1 119
15.6%
0 115
15.1%
2 48
 
6.3%
9 43
 
5.6%
3 42
 
5.5%
7 37
 
4.8%
6 34
 
4.5%
8 29
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 763
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 142
18.6%
- 126
16.5%
1 119
15.6%
0 115
15.1%
2 48
 
6.3%
9 43
 
5.6%
3 42
 
5.5%
7 37
 
4.8%
6 34
 
4.5%
8 29
 
3.8%

보육실수
Real number (ℝ)

Distinct12
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.6086957
Minimum2
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2023-12-11T01:12:34.871876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median5
Q37
95-th percentile9.6
Maximum16
Range14
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.5449916
Coefficient of variation (CV)0.45375819
Kurtosis4.5093589
Mean5.6086957
Median Absolute Deviation (MAD)1
Skewness1.7219259
Sum387
Variance6.4769821
MonotonicityNot monotonic
2023-12-11T01:12:35.008473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
6 15
21.7%
3 14
20.3%
5 11
15.9%
4 10
14.5%
7 8
11.6%
8 4
 
5.8%
9 2
 
2.9%
16 1
 
1.4%
14 1
 
1.4%
12 1
 
1.4%
Other values (2) 2
 
2.9%
ValueCountFrequency (%)
2 1
 
1.4%
3 14
20.3%
4 10
14.5%
5 11
15.9%
6 15
21.7%
7 8
11.6%
8 4
 
5.8%
9 2
 
2.9%
10 1
 
1.4%
12 1
 
1.4%
ValueCountFrequency (%)
16 1
 
1.4%
14 1
 
1.4%
12 1
 
1.4%
10 1
 
1.4%
9 2
 
2.9%
8 4
 
5.8%
7 8
11.6%
6 15
21.7%
5 11
15.9%
4 10
14.5%

보육실면적
Real number (ℝ)

Distinct62
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean178.7971
Minimum50
Maximum679
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2023-12-11T01:12:35.203831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile54
Q195
median142
Q3244
95-th percentile344
Maximum679
Range629
Interquartile range (IQR)149

Descriptive statistics

Standard deviation111.25257
Coefficient of variation (CV)0.62222805
Kurtosis4.6297928
Mean178.7971
Median Absolute Deviation (MAD)72
Skewness1.5942013
Sum12337
Variance12377.135
MonotonicityNot monotonic
2023-12-11T01:12:35.354242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
141 3
 
4.3%
50 2
 
2.9%
85 2
 
2.9%
114 2
 
2.9%
52 2
 
2.9%
257 2
 
2.9%
231 1
 
1.4%
142 1
 
1.4%
62 1
 
1.4%
76 1
 
1.4%
Other values (52) 52
75.4%
ValueCountFrequency (%)
50 2
2.9%
52 2
2.9%
57 1
1.4%
60 1
1.4%
61 1
1.4%
62 1
1.4%
63 1
1.4%
68 1
1.4%
70 1
1.4%
76 1
1.4%
ValueCountFrequency (%)
679 1
1.4%
427 1
1.4%
359 1
1.4%
346 1
1.4%
341 1
1.4%
319 1
1.4%
310 1
1.4%
308 1
1.4%
302 1
1.4%
295 1
1.4%

놀이터수
Categorical

Distinct5
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
34 
1
23 
2
8 
3
 
3
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

1st row2
2nd row1
3rd row2
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 34
49.3%
1 23
33.3%
2 8
 
11.6%
3 3
 
4.3%
4 1
 
1.4%

Length

2023-12-11T01:12:35.482506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:12:35.609964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 34
49.3%
1 23
33.3%
2 8
 
11.6%
3 3
 
4.3%
4 1
 
1.4%

위도
Real number (ℝ)

Distinct68
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.272567
Minimum35.212526
Maximum37.56647
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2023-12-11T01:12:35.737079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.212526
5-th percentile35.216696
Q135.225337
median35.236435
Q335.251325
95-th percentile35.27291
Maximum37.56647
Range2.3539437
Interquartile range (IQR)0.02598779

Descriptive statistics

Standard deviation0.28075362
Coefficient of variation (CV)0.007959546
Kurtosis68.447877
Mean35.272567
Median Absolute Deviation (MAD)0.01348401
Skewness8.2575717
Sum2433.8071
Variance0.078822596
MonotonicityNot monotonic
2023-12-11T01:12:35.874285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.22770804 2
 
2.9%
35.2459168 1
 
1.4%
35.27457408 1
 
1.4%
35.22897002 1
 
1.4%
35.2425073 1
 
1.4%
35.2480517 1
 
1.4%
37.56647 1
 
1.4%
35.23214899 1
 
1.4%
35.2302773 1
 
1.4%
35.22533718 1
 
1.4%
Other values (58) 58
84.1%
ValueCountFrequency (%)
35.21252635 1
1.4%
35.21281696 1
1.4%
35.21455003 1
1.4%
35.21615263 1
1.4%
35.21751064 1
1.4%
35.21793609 1
1.4%
35.2182172 1
1.4%
35.21828983 1
1.4%
35.2188743 1
1.4%
35.21915459 1
1.4%
ValueCountFrequency (%)
37.56647 1
1.4%
35.27457408 1
1.4%
35.27368211 1
1.4%
35.27334263 1
1.4%
35.27226028 1
1.4%
35.27182032 1
1.4%
35.27128854 1
1.4%
35.26872157 1
1.4%
35.26733065 1
1.4%
35.26497971 1
1.4%

경도
Real number (ℝ)

Distinct68
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.06043
Minimum126.97796
Maximum129.11841
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2023-12-11T01:12:36.044052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.97796
5-th percentile129.08087
Q1129.08648
median129.09029
Q3129.09307
95-th percentile129.10728
Maximum129.11841
Range2.140448
Interquartile range (IQR)0.006583

Descriptive statistics

Standard deviation0.25454327
Coefficient of variation (CV)0.0019722797
Kurtosis68.822169
Mean129.06043
Median Absolute Deviation (MAD)0.0035059
Skewness-8.2907933
Sum8905.1696
Variance0.064792276
MonotonicityNot monotonic
2023-12-11T01:12:36.165765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.0867837 2
 
2.9%
129.0862221 1
 
1.4%
129.0876603 1
 
1.4%
129.0930234 1
 
1.4%
129.0839248 1
 
1.4%
129.0872381 1
 
1.4%
126.977963 1
 
1.4%
129.0902896 1
 
1.4%
129.0784544 1
 
1.4%
129.0817171 1
 
1.4%
Other values (58) 58
84.1%
ValueCountFrequency (%)
126.977963 1
1.4%
129.0547727 1
1.4%
129.0784544 1
1.4%
129.0805503 1
1.4%
129.0813563 1
1.4%
129.0817171 1
1.4%
129.0818986 1
1.4%
129.0828029 1
1.4%
129.0833542 1
1.4%
129.0839248 1
1.4%
ValueCountFrequency (%)
129.118411 1
1.4%
129.1104313 1
1.4%
129.1090615 1
1.4%
129.1077379 1
1.4%
129.1066027 1
1.4%
129.1055305 1
1.4%
129.1049204 1
1.4%
129.1044274 1
1.4%
129.1043159 1
1.4%
129.101942 1
1.4%

홈페이지주소
Text

MISSING 

Distinct16
Distinct (%)100.0%
Missing53
Missing (%)76.8%
Memory size684.0 B
2023-12-11T01:12:36.391227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length29.5
Mean length28.375
Min length16

Characters and Unicode

Total characters454
Distinct characters56
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)100.0%

Sample

1st rowwww.puruni.com/busanbank3
2nd rowhttp://cafe.naver.com/geumsaem4846
3rd rowhttps://cafe.naver.com/busanmamonna/
4th rowktp://cafe.naver.com/dreamlovechildren
5th rowhttp://cafe.daum.net/baby0959
ValueCountFrequency (%)
http://cafe.daum.net/mosim5234 1
 
4.8%
cafe.daum.net/59yh 1
 
4.8%
http://ecochild.pusan.ac.kr 1
 
4.8%
http://cafe.daum.net/kid-1 1
 
4.8%
유정어린이집 1
 
4.8%
금정구 1
 
4.8%
부산 1
 
4.8%
검색 1
 
4.8%
카페 1
 
4.8%
네이버 1
 
4.8%
Other values (11) 11
52.4%
2023-12-11T01:12:36.787648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 37
 
8.1%
a 37
 
8.1%
e 30
 
6.6%
. 30
 
6.6%
n 26
 
5.7%
t 24
 
5.3%
c 24
 
5.3%
m 23
 
5.1%
o 22
 
4.8%
r 14
 
3.1%
Other values (46) 187
41.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 321
70.7%
Other Punctuation 78
 
17.2%
Decimal Number 28
 
6.2%
Other Letter 18
 
4.0%
Space Separator 5
 
1.1%
Uppercase Letter 3
 
0.7%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 37
 
11.5%
e 30
 
9.3%
n 26
 
8.1%
t 24
 
7.5%
c 24
 
7.5%
m 23
 
7.2%
o 22
 
6.9%
r 14
 
4.4%
s 13
 
4.0%
h 13
 
4.0%
Other values (12) 95
29.6%
Other Letter
ValueCountFrequency (%)
이 2
 
11.1%
정 2
 
11.1%
린 1
 
5.6%
유 1
 
5.6%
어 1
 
5.6%
집 1
 
5.6%
구 1
 
5.6%
색 1
 
5.6%
금 1
 
5.6%
산 1
 
5.6%
Other values (6) 6
33.3%
Decimal Number
ValueCountFrequency (%)
1 5
17.9%
0 4
14.3%
8 4
14.3%
4 3
10.7%
9 3
10.7%
3 3
10.7%
5 3
10.7%
6 1
 
3.6%
2 1
 
3.6%
7 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
/ 37
47.4%
. 30
38.5%
: 11
 
14.1%
Uppercase Letter
ValueCountFrequency (%)
I 1
33.3%
K 1
33.3%
D 1
33.3%
Space Separator
ValueCountFrequency (%)
5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 324
71.4%
Common 112
 
24.7%
Hangul 18
 
4.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 37
 
11.4%
e 30
 
9.3%
n 26
 
8.0%
t 24
 
7.4%
c 24
 
7.4%
m 23
 
7.1%
o 22
 
6.8%
r 14
 
4.3%
s 13
 
4.0%
h 13
 
4.0%
Other values (15) 98
30.2%
Hangul
ValueCountFrequency (%)
이 2
 
11.1%
정 2
 
11.1%
린 1
 
5.6%
유 1
 
5.6%
어 1
 
5.6%
집 1
 
5.6%
구 1
 
5.6%
색 1
 
5.6%
금 1
 
5.6%
산 1
 
5.6%
Other values (6) 6
33.3%
Common
ValueCountFrequency (%)
/ 37
33.0%
. 30
26.8%
: 11
 
9.8%
5
 
4.5%
1 5
 
4.5%
0 4
 
3.6%
8 4
 
3.6%
4 3
 
2.7%
9 3
 
2.7%
3 3
 
2.7%
Other values (5) 7
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 436
96.0%
Hangul 18
 
4.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 37
 
8.5%
a 37
 
8.5%
e 30
 
6.9%
. 30
 
6.9%
n 26
 
6.0%
t 24
 
5.5%
c 24
 
5.5%
m 23
 
5.3%
o 22
 
5.0%
r 14
 
3.2%
Other values (30) 169
38.8%
Hangul
ValueCountFrequency (%)
이 2
 
11.1%
정 2
 
11.1%
린 1
 
5.6%
유 1
 
5.6%
어 1
 
5.6%
집 1
 
5.6%
구 1
 
5.6%
색 1
 
5.6%
금 1
 
5.6%
산 1
 
5.6%
Other values (6) 6
33.3%

Sample

연번운영현황어린이집유형어린이집인가일cctv설치통학차량운영행정동우편번호주소어린이집특성정원아동현원보육교직원현원전화번호어린이집코드팩스번호보육실수보육실면적놀이터수위도경도홈페이지주소
01Y직장BNK금정어린이집2015-08-2111미운영장전제1동46283부산광역시 금정구 금강로 324 (장전동)일반632613051-513-256126410000174051-513-25624242235.245917129.086222www.puruni.com/busanbank3
12Y국공립공립구서어린이집1982-10-0413운영(신고)구서제2동46232부산광역시 금정구 금강로 503 롯데캐슬골드 2단지내 (구서동)일반14110421051-518-143726410000001051-517-25525319135.251368129.086456<NA>
23Y국공립공립부곡복지어린이집1993-02-178운영(신고)부곡제1동46304부산광역시 금정구 동현로 67 2차상가동내(부곡동, 부곡시영아파트)일반1186713051-515-206626410000054051-516-19635308235.221963129.096735<NA>
34Y국공립구서SK뷰해야어린이집2020-12-017운영(신고)구서제1동46245부산광역시 금정구 금샘로246번길 18 구서동, 구서SK뷰1단지아파트일반433313051-583-411026410000183<NA>4115035.245219129.085864<NA>
45Y민간구서롯데어린이집2018-04-069운영(신고)구서제2동46233부산광역시 금정구 금강로 502 관리동(구서동,롯데캐슬골드1단지)일반736514051-912-515826410000179051-936-51587291135.250774129.089527<NA>
56Y민간그림동산어린이집2003-02-0724운영(신고)남산동46219부산광역시 금정구 팔송로7번길 8일반1003514051-581-018726410000092051-583-515916359335.27182129.091363<NA>
67Y민간금샘어린이집1989-03-0212운영(신고)남산동46221부산광역시 금정구 팔송로59번길 14 (남산동)야간연장100125051-582-484626410000082051-582-583814283235.271289129.08585http://cafe.naver.com/geumsaem4846
78Y국공립금성 어린이집1975-04-307미운영금성동46237부산광역시 금정구 산성로 435 (금성동)24시간2003051-517-560426410000017051-518-56045206135.251325129.054773<NA>
89Y직장금정구청어린이집2004-05-1016미운영부곡제3동46274부산광역시 금정구 중앙대로 1777 금정구청내 금정구청어린이집일반595315051-519-432726410000050051-519-43295346235.242054129.092456<NA>
910Y가정금정산 SK 어린이집1998-07-144미운영장전제2동46296부산광역시 금정구 식물원로 64 108동 102호일반19175051-517-593226410000123051-517-5932350035.226747129.08055https://cafe.naver.com/busanmamonna/
연번운영현황어린이집유형어린이집인가일cctv설치통학차량운영행정동우편번호주소어린이집특성정원아동현원보육교직원현원전화번호어린이집코드팩스번호보육실수보육실면적놀이터수위도경도홈페이지주소
5960Y민간장전제일교회어린이집2006-03-0913운영(신고)장전제2동46292부산광역시 금정구 금정로 50 (장전동)일반797915051-518-873926410000008070-8610-15009264135.229142129.086482<NA>
6061Y국공립지산어린이집2020-03-017운영(신고)부곡제3동46265부산광역시 금정구 기찰로108번길 48일반,시간제보육574913051-515-516126410000181051-515-20225151135.241968129.095889<NA>
6162Y민간참초롱어린이집2002-12-308운영(신고)서제3동46321부산광역시 금정구 금사로 28 (서동)일반393411051-527-682826410000120051-522-66027114035.216153129.107738<NA>
6263Y가정푸른하늘어린이집1998-01-154미운영장전제1동46246부산광역시 금정구 금강로379번길 50 104동 104호 (장전동, 금정산 쌍용예가아파트)일반19145051-517-900726410000064051-517-9007368035.243081129.085216<NA>
6364Y민간한별어린이집2004-07-196운영(신고)부곡제3동46266부산광역시 금정구 기찰로 57-1일반462711051-513-079226410000083051-513-07926129035.236067129.093065<NA>
6465Y가정한신어린이집2008-03-244미운영부곡제3동46277부산광역시 금정구 중앙대로1685번길 22 110동 101호(부곡동, 경남한신)일반1663051-581-0800264100001390504-445-0734385035.236435129.090141<NA>
6566Y민간해맑은어린이집2002-02-2110운영(신고)남산동46215부산광역시 금정구 금단로 113-13 부산시 금정구 금단로 113-13 해맑은어린이집일반787222051-516-713026410000055051-923-71328255135.259959129.0922https://blog.naver.com/sunnykids7130
6667Y사회복지법인해무리어린이집2005-03-1710운영(신고)서제3동46315부산광역시 금정구 서곡로34번길 59 (서동)일반48105051-524-063326410000004051-524-06347235035.219155129.106603<NA>
6768Y가정해수어린이집1990-09-184운영(신고)장전제2동46296부산광역시 금정구 식물원로 64 장전동 금정산 SK뷰 110동103호일반19147051-514-964526410000133<NA>350035.231236129.086498<NA>
6869Y국공립행복한그림동산어린이집2021-03-0116운영(신고)서제3동46316부산광역시 금정구 금사로29번길 57야간연장,시간제보육926515051-522-407126410000185051-532-103010257235.21829129.10553<NA>