Overview

Dataset statistics

Number of variables23
Number of observations44
Missing cells14
Missing cells (%)1.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.5 KiB
Average record size in memory198.0 B

Variable types

Categorical6
Numeric10
Text4
Boolean1
DateTime2

Dataset

Description경상남도 밀양시 어린이집 현황에 대한 자료로,어린이집 명, 어린이집 유형, 주소, 연락처, 보육실 수, 보육실 면적, 놀이터 수, CCTV 설치 수, 보육교직원 수 등에 대한 정보를 제공합니다.
Author경상남도 밀양시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15009785

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
운영현황 has constant value ""Constant
데이터기준일자 has constant value ""Constant
통학차량운영여부 is highly imbalanced (73.3%)Imbalance
어린이집팩스번호 has 14 (31.8%) missing valuesMissing
어린이집코드 has unique valuesUnique
어린이집명 has unique valuesUnique
상세주소 has unique valuesUnique
어린이집전화번호 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
인가일자 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:21:29.341608
Analysis finished2023-12-11 00:21:29.662892
Duration0.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
경상남도
44 

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 44
100.0%

Length

2023-12-11T09:21:29.723195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:21:29.796355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 44
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
밀양시
44 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
밀양시 44
100.0%

Length

2023-12-11T09:21:29.870520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:21:29.941828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
밀양시 44
100.0%

어린이집코드
Real number (ℝ)

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.827 × 1010
Minimum4.827 × 1010
Maximum4.827 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-11T09:21:30.024392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.827 × 1010
5-th percentile4.827 × 1010
Q14.827 × 1010
median4.827 × 1010
Q34.827 × 1010
95-th percentile4.827 × 1010
Maximum4.827 × 1010
Range131
Interquartile range (IQR)78.75

Descriptive statistics

Standard deviation42.297297
Coefficient of variation (CV)8.7626469 × 10-10
Kurtosis-1.5030817
Mean4.827 × 1010
Median Absolute Deviation (MAD)42
Skewness-0.10712795
Sum2.12388 × 1012
Variance1789.0613
MonotonicityNot monotonic
2023-12-11T09:21:30.135281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
48270000117 1
 
2.3%
48270000016 1
 
2.3%
48270000093 1
 
2.3%
48270000125 1
 
2.3%
48270000116 1
 
2.3%
48270000044 1
 
2.3%
48270000098 1
 
2.3%
48270000031 1
 
2.3%
48270000046 1
 
2.3%
48270000061 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
48270000009 1
2.3%
48270000016 1
2.3%
48270000026 1
2.3%
48270000027 1
2.3%
48270000028 1
2.3%
48270000030 1
2.3%
48270000031 1
2.3%
48270000034 1
2.3%
48270000038 1
2.3%
48270000039 1
2.3%
ValueCountFrequency (%)
48270000140 1
2.3%
48270000139 1
2.3%
48270000138 1
2.3%
48270000137 1
2.3%
48270000136 1
2.3%
48270000135 1
2.3%
48270000134 1
2.3%
48270000133 1
2.3%
48270000132 1
2.3%
48270000127 1
2.3%

어린이집명
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-11T09:21:30.320032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length7.4545455
Min length6

Characters and Unicode

Total characters328
Distinct characters101
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

Unique44 ?
Unique (%)100.0%

Sample

1st row가온어린이집
2nd row꼬마대통령어린이집
3rd row꼬마사랑어린이집
4th row꽃동산어린이집
5th row꿈나무어린이집
ValueCountFrequency (%)
어린이집 2
 
4.3%
가온어린이집 1
 
2.1%
참조은어린이집 1
 
2.1%
조은어린이집 1
 
2.1%
아랑자연어린이집 1
 
2.1%
예임통통어린이집 1
 
2.1%
우리두리어린이집 1
 
2.1%
은별어린이집 1
 
2.1%
이편한세상어린이집 1
 
2.1%
이편한어린이집 1
 
2.1%
Other values (36) 36
76.6%
2023-12-11T09:21:30.624616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 48
 
14.6%
어 44
 
13.4%
린 44
 
13.4%
집 44
 
13.4%
사 5
 
1.5%
은 5
 
1.5%
하 4
 
1.2%
랑 4
 
1.2%
아 4
 
1.2%
리 4
 
1.2%
Other values (91) 122
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 325
99.1%
Space Separator 3
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 48
14.8%
어 44
 
13.5%
린 44
 
13.5%
집 44
 
13.5%
사 5
 
1.5%
은 5
 
1.5%
하 4
 
1.2%
랑 4
 
1.2%
아 4
 
1.2%
리 4
 
1.2%
Other values (90) 119
36.6%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 325
99.1%
Common 3
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 48
14.8%
어 44
 
13.5%
린 44
 
13.5%
집 44
 
13.5%
사 5
 
1.5%
은 5
 
1.5%
하 4
 
1.2%
랑 4
 
1.2%
아 4
 
1.2%
리 4
 
1.2%
Other values (90) 119
36.6%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 325
99.1%
ASCII 3
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 48
14.8%
어 44
 
13.5%
린 44
 
13.5%
집 44
 
13.5%
사 5
 
1.5%
은 5
 
1.5%
하 4
 
1.2%
랑 4
 
1.2%
아 4
 
1.2%
리 4
 
1.2%
Other values (90) 119
36.6%
ASCII
ValueCountFrequency (%)
3
100.0%

어린이집유형구분
Categorical

Distinct6
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size484.0 B
가정
12 
민간
11 
국공립
10 
사회복지법인
9 
직장
 
1

Length

Max length6
Median length2
Mean length3.1363636
Min length2

Unique

Unique2 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
가정 12
27.3%
민간 11
25.0%
국공립 10
22.7%
사회복지법인 9
20.5%
직장 1
 
2.3%
법인·단체등 1
 
2.3%

Length

2023-12-11T09:21:30.756601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:21:30.891437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정 12
27.3%
민간 11
25.0%
국공립 10
22.7%
사회복지법인 9
20.5%
직장 1
 
2.3%
법인·단체등 1
 
2.3%

운영현황
Boolean

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size176.0 B
True
44 
ValueCountFrequency (%)
True 44
100.0%
2023-12-11T09:21:30.993890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

우편번호
Real number (ℝ)

Distinct22
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50434.432
Minimum50403
Maximum50467
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-11T09:21:31.070685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50403
5-th percentile50404.15
Q150420.75
median50438
Q350445
95-th percentile50460.85
Maximum50467
Range64
Interquartile range (IQR)24.25

Descriptive statistics

Standard deviation16.219996
Coefficient of variation (CV)0.0003216056
Kurtosis-0.44843379
Mean50434.432
Median Absolute Deviation (MAD)12
Skewness-0.10101892
Sum2219115
Variance263.08827
MonotonicityNot monotonic
2023-12-11T09:21:31.184937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
50420 5
 
11.4%
50438 5
 
11.4%
50439 3
 
6.8%
50450 3
 
6.8%
50435 2
 
4.5%
50461 2
 
4.5%
50449 2
 
4.5%
50434 2
 
4.5%
50424 2
 
4.5%
50404 2
 
4.5%
Other values (12) 16
36.4%
ValueCountFrequency (%)
50403 1
 
2.3%
50404 2
 
4.5%
50405 1
 
2.3%
50416 1
 
2.3%
50419 1
 
2.3%
50420 5
11.4%
50421 1
 
2.3%
50424 2
 
4.5%
50425 2
 
4.5%
50431 1
 
2.3%
ValueCountFrequency (%)
50467 1
 
2.3%
50461 2
 
4.5%
50460 2
 
4.5%
50450 3
6.8%
50449 2
 
4.5%
50445 2
 
4.5%
50441 2
 
4.5%
50440 1
 
2.3%
50439 3
6.8%
50438 5
11.4%

상세주소
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-11T09:21:31.450448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length35
Mean length27.113636
Min length17

Characters and Unicode

Total characters1193
Distinct characters126
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

Unique44 ?
Unique (%)100.0%

Sample

1st row경상남도 밀양시 밀양대로 1755 제일훼미리 102-103
2nd row경상남도 밀양시 삼문로 33-8
3rd row경상남도 밀양시 하남읍 수산동촌4길 9-7
4th row경상남도 밀양시 교동로5길 5-13
5th row경상남도 밀양시 미리벌로2길 48 106동 106호(세경웰러스)
ValueCountFrequency (%)
경상남도 44
 
18.2%
밀양시 44
 
18.2%
삼문동 5
 
2.1%
하남읍 4
 
1.7%
상남로 4
 
1.7%
교동 3
 
1.2%
중앙로 3
 
1.2%
아파트 3
 
1.2%
미리벌중앙로1길 3
 
1.2%
부북면 3
 
1.2%
Other values (106) 126
52.1%
2023-12-11T09:21:32.020414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
199
 
16.7%
남 54
 
4.5%
1 52
 
4.4%
상 52
 
4.4%
밀 50
 
4.2%
양 48
 
4.0%
경 46
 
3.9%
시 46
 
3.9%
도 45
 
3.8%
로 34
 
2.8%
Other values (116) 567
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 735
61.6%
Space Separator 199
 
16.7%
Decimal Number 194
 
16.3%
Dash Punctuation 22
 
1.8%
Open Punctuation 16
 
1.3%
Close Punctuation 16
 
1.3%
Lowercase Letter 5
 
0.4%
Other Punctuation 3
 
0.3%
Uppercase Letter 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 54
 
7.3%
상 52
 
7.1%
밀 50
 
6.8%
양 48
 
6.5%
경 46
 
6.3%
시 46
 
6.3%
도 45
 
6.1%
로 34
 
4.6%
동 31
 
4.2%
길 21
 
2.9%
Other values (94) 308
41.9%
Decimal Number
ValueCountFrequency (%)
1 52
26.8%
3 25
12.9%
5 23
11.9%
4 22
11.3%
0 20
 
10.3%
8 13
 
6.7%
2 13
 
6.7%
7 12
 
6.2%
6 10
 
5.2%
9 4
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
l 2
40.0%
e 1
20.0%
u 1
20.0%
s 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
W 1
33.3%
H 1
33.3%
L 1
33.3%
Space Separator
ValueCountFrequency (%)
199
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 735
61.6%
Common 450
37.7%
Latin 8
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 54
 
7.3%
상 52
 
7.1%
밀 50
 
6.8%
양 48
 
6.5%
경 46
 
6.3%
시 46
 
6.3%
도 45
 
6.1%
로 34
 
4.6%
동 31
 
4.2%
길 21
 
2.9%
Other values (94) 308
41.9%
Common
ValueCountFrequency (%)
199
44.2%
1 52
 
11.6%
3 25
 
5.6%
5 23
 
5.1%
- 22
 
4.9%
4 22
 
4.9%
0 20
 
4.4%
( 16
 
3.6%
) 16
 
3.6%
8 13
 
2.9%
Other values (5) 42
 
9.3%
Latin
ValueCountFrequency (%)
l 2
25.0%
W 1
12.5%
e 1
12.5%
u 1
12.5%
s 1
12.5%
H 1
12.5%
L 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 735
61.6%
ASCII 458
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
199
43.4%
1 52
 
11.4%
3 25
 
5.5%
5 23
 
5.0%
- 22
 
4.8%
4 22
 
4.8%
0 20
 
4.4%
( 16
 
3.5%
) 16
 
3.5%
8 13
 
2.8%
Other values (12) 50
 
10.9%
Hangul
ValueCountFrequency (%)
남 54
 
7.3%
상 52
 
7.1%
밀 50
 
6.8%
양 48
 
6.5%
경 46
 
6.3%
시 46
 
6.3%
도 45
 
6.1%
로 34
 
4.6%
동 31
 
4.2%
길 21
 
2.9%
Other values (94) 308
41.9%

어린이집전화번호
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-11T09:21:32.299543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters528
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

Unique44 ?
Unique (%)100.0%

Sample

1st row055-927-8112
2nd row055-354-3664
3rd row055-391-4888
4th row055-353-5775
5th row055-355-0264
ValueCountFrequency (%)
055-927-8112 1
 
2.3%
055-354-3664 1
 
2.3%
055-355-0078 1
 
2.3%
055-354-6030 1
 
2.3%
055-351-1255 1
 
2.3%
055-355-0716 1
 
2.3%
055-352-1366 1
 
2.3%
055-352-5128 1
 
2.3%
055-355-5441 1
 
2.3%
055-356-4142 1
 
2.3%
Other values (34) 34
77.3%
2023-12-11T09:21:32.718868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 155
29.4%
- 88
16.7%
0 70
13.3%
3 61
 
11.6%
1 31
 
5.9%
2 25
 
4.7%
6 25
 
4.7%
8 23
 
4.4%
4 20
 
3.8%
7 17
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 440
83.3%
Dash Punctuation 88
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 155
35.2%
0 70
15.9%
3 61
 
13.9%
1 31
 
7.0%
2 25
 
5.7%
6 25
 
5.7%
8 23
 
5.2%
4 20
 
4.5%
7 17
 
3.9%
9 13
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 528
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 155
29.4%
- 88
16.7%
0 70
13.3%
3 61
 
11.6%
1 31
 
5.9%
2 25
 
4.7%
6 25
 
4.7%
8 23
 
4.4%
4 20
 
3.8%
7 17
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 528
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 155
29.4%
- 88
16.7%
0 70
13.3%
3 61
 
11.6%
1 31
 
5.9%
2 25
 
4.7%
6 25
 
4.7%
8 23
 
4.4%
4 20
 
3.8%
7 17
 
3.2%

어린이집팩스번호
Text

MISSING 

Distinct29
Distinct (%)96.7%
Missing14
Missing (%)31.8%
Memory size484.0 B
2023-12-11T09:21:32.959239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.066667
Min length12

Characters and Unicode

Total characters362
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

Unique28 ?
Unique (%)93.3%

Sample

1st row055-927-8112
2nd row055-604-6846
3rd row055-353-5776
4th row055-355-0264
5th row055-355-0091
ValueCountFrequency (%)
055-391-0129 2
 
6.7%
055-352-1253 1
 
3.3%
055-927-8112 1
 
3.3%
055-354-3014 1
 
3.3%
070-4009-4321 1
 
3.3%
055-354-0551 1
 
3.3%
055-391-7219 1
 
3.3%
055-352-7079 1
 
3.3%
055-356-1970 1
 
3.3%
055-356-4142 1
 
3.3%
Other values (19) 19
63.3%
2023-12-11T09:21:33.329229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 96
26.5%
- 60
16.6%
0 49
13.5%
3 35
 
9.7%
1 25
 
6.9%
2 21
 
5.8%
4 20
 
5.5%
6 16
 
4.4%
7 15
 
4.1%
9 13
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 302
83.4%
Dash Punctuation 60
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 96
31.8%
0 49
16.2%
3 35
 
11.6%
1 25
 
8.3%
2 21
 
7.0%
4 20
 
6.6%
6 16
 
5.3%
7 15
 
5.0%
9 13
 
4.3%
8 12
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 362
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 96
26.5%
- 60
16.6%
0 49
13.5%
3 35
 
9.7%
1 25
 
6.9%
2 21
 
5.8%
4 20
 
5.5%
6 16
 
4.4%
7 15
 
4.1%
9 13
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 362
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 96
26.5%
- 60
16.6%
0 49
13.5%
3 35
 
9.7%
1 25
 
6.9%
2 21
 
5.8%
4 20
 
5.5%
6 16
 
4.4%
7 15
 
4.1%
9 13
 
3.6%

보육실수
Real number (ℝ)

Distinct8
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.9090909
Minimum3
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-11T09:21:33.465289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q14
median4
Q35.25
95-th percentile8
Maximum13
Range10
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation2.1329986
Coefficient of variation (CV)0.43449971
Kurtosis4.6413149
Mean4.9090909
Median Absolute Deviation (MAD)1
Skewness1.9616893
Sum216
Variance4.5496829
MonotonicityNot monotonic
2023-12-11T09:21:33.598357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 16
36.4%
3 10
22.7%
5 7
15.9%
7 5
 
11.4%
8 2
 
4.5%
6 2
 
4.5%
13 1
 
2.3%
11 1
 
2.3%
ValueCountFrequency (%)
3 10
22.7%
4 16
36.4%
5 7
15.9%
6 2
 
4.5%
7 5
 
11.4%
8 2
 
4.5%
11 1
 
2.3%
13 1
 
2.3%
ValueCountFrequency (%)
13 1
 
2.3%
11 1
 
2.3%
8 2
 
4.5%
7 5
 
11.4%
6 2
 
4.5%
5 7
15.9%
4 16
36.4%
3 10
22.7%

보육실 면적
Real number (ℝ)

Distinct41
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean171.20455
Minimum52
Maximum553
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-11T09:21:33.776019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52
5-th percentile55.45
Q196.25
median123.5
Q3222.75
95-th percentile367.15
Maximum553
Range501
Interquartile range (IQR)126.5

Descriptive statistics

Standard deviation120.24811
Coefficient of variation (CV)0.70236518
Kurtosis2.0533953
Mean171.20455
Median Absolute Deviation (MAD)49
Skewness1.5173053
Sum7533
Variance14459.608
MonotonicityNot monotonic
2023-12-11T09:21:33.951338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
59 2
 
4.5%
99 2
 
4.5%
52 2
 
4.5%
80 1
 
2.3%
102 1
 
2.3%
128 1
 
2.3%
301 1
 
2.3%
127 1
 
2.3%
110 1
 
2.3%
370 1
 
2.3%
Other values (31) 31
70.5%
ValueCountFrequency (%)
52 2
4.5%
55 1
2.3%
58 1
2.3%
59 2
4.5%
72 1
2.3%
80 1
2.3%
85 1
2.3%
86 1
2.3%
94 1
2.3%
97 1
2.3%
ValueCountFrequency (%)
553 1
2.3%
514 1
2.3%
370 1
2.3%
351 1
2.3%
334 1
2.3%
315 1
2.3%
301 1
2.3%
298 1
2.3%
288 1
2.3%
271 1
2.3%

놀이터수
Categorical

Distinct4
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size484.0 B
0
23 
1
14 
2
6 
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 23
52.3%
1 14
31.8%
2 6
 
13.6%
3 1
 
2.3%

Length

2023-12-11T09:21:34.069798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:21:34.196512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 23
52.3%
1 14
31.8%
2 6
 
13.6%
3 1
 
2.3%

CCTV설치수
Real number (ℝ)

Distinct10
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.8636364
Minimum4
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-11T09:21:34.305647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q14
median5
Q38
95-th percentile14.85
Maximum16
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.5996829
Coefficient of variation (CV)0.52445711
Kurtosis0.86845935
Mean6.8636364
Median Absolute Deviation (MAD)1
Skewness1.328825
Sum302
Variance12.957717
MonotonicityNot monotonic
2023-12-11T09:21:34.414759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
4 18
40.9%
8 8
18.2%
5 5
 
11.4%
7 4
 
9.1%
10 2
 
4.5%
14 2
 
4.5%
16 2
 
4.5%
6 1
 
2.3%
12 1
 
2.3%
15 1
 
2.3%
ValueCountFrequency (%)
4 18
40.9%
5 5
 
11.4%
6 1
 
2.3%
7 4
 
9.1%
8 8
18.2%
10 2
 
4.5%
12 1
 
2.3%
14 2
 
4.5%
15 1
 
2.3%
16 2
 
4.5%
ValueCountFrequency (%)
16 2
 
4.5%
15 1
 
2.3%
14 2
 
4.5%
12 1
 
2.3%
10 2
 
4.5%
8 8
18.2%
7 4
 
9.1%
6 1
 
2.3%
5 5
 
11.4%
4 18
40.9%

보육교직원수
Real number (ℝ)

Distinct13
Distinct (%)29.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4772727
Minimum4
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-11T09:21:34.538185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q16
median7.5
Q310
95-th percentile14
Maximum31
Range27
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.6928379
Coefficient of variation (CV)0.55357873
Kurtosis11.604494
Mean8.4772727
Median Absolute Deviation (MAD)2
Skewness2.7874324
Sum373
Variance22.022727
MonotonicityNot monotonic
2023-12-11T09:21:34.677736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
6 8
18.2%
4 6
13.6%
9 6
13.6%
5 4
9.1%
8 4
9.1%
7 4
9.1%
11 3
 
6.8%
10 2
 
4.5%
14 2
 
4.5%
13 2
 
4.5%
Other values (3) 3
 
6.8%
ValueCountFrequency (%)
4 6
13.6%
5 4
9.1%
6 8
18.2%
7 4
9.1%
8 4
9.1%
9 6
13.6%
10 2
 
4.5%
11 3
 
6.8%
12 1
 
2.3%
13 2
 
4.5%
ValueCountFrequency (%)
31 1
 
2.3%
17 1
 
2.3%
14 2
 
4.5%
13 2
 
4.5%
12 1
 
2.3%
11 3
6.8%
10 2
 
4.5%
9 6
13.6%
8 4
9.1%
7 4
9.1%

정원수
Real number (ℝ)

Distinct26
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51
Minimum19
Maximum194
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-11T09:21:34.819559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile19.15
Q120
median39
Q355.25
95-th percentile125.3
Maximum194
Range175
Interquartile range (IQR)35.25

Descriptive statistics

Standard deviation40.589264
Coefficient of variation (CV)0.79586793
Kurtosis3.4826287
Mean51
Median Absolute Deviation (MAD)19
Skewness1.882865
Sum2244
Variance1647.4884
MonotonicityNot monotonic
2023-12-11T09:21:34.975182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
20 10
22.7%
39 6
 
13.6%
19 3
 
6.8%
49 2
 
4.5%
35 2
 
4.5%
32 1
 
2.3%
87 1
 
2.3%
166 1
 
2.3%
108 1
 
2.3%
46 1
 
2.3%
Other values (16) 16
36.4%
ValueCountFrequency (%)
19 3
 
6.8%
20 10
22.7%
25 1
 
2.3%
28 1
 
2.3%
31 1
 
2.3%
32 1
 
2.3%
35 2
 
4.5%
36 1
 
2.3%
38 1
 
2.3%
39 6
13.6%
ValueCountFrequency (%)
194 1
2.3%
166 1
2.3%
128 1
2.3%
110 1
2.3%
108 1
2.3%
104 1
2.3%
99 1
2.3%
87 1
2.3%
80 1
2.3%
72 1
2.3%

현원수
Real number (ℝ)

Distinct35
Distinct (%)79.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.977273
Minimum4
Maximum149
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-11T09:21:35.120538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile7.3
Q114
median21.5
Q335
95-th percentile82.3
Maximum149
Range145
Interquartile range (IQR)21

Descriptive statistics

Standard deviation26.657595
Coefficient of variation (CV)0.88926019
Kurtosis9.0319787
Mean29.977273
Median Absolute Deviation (MAD)10
Skewness2.6685617
Sum1319
Variance710.62738
MonotonicityNot monotonic
2023-12-11T09:21:35.269628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
20 3
 
6.8%
17 2
 
4.5%
34 2
 
4.5%
13 2
 
4.5%
12 2
 
4.5%
18 2
 
4.5%
32 2
 
4.5%
14 2
 
4.5%
11 1
 
2.3%
33 1
 
2.3%
Other values (25) 25
56.8%
ValueCountFrequency (%)
4 1
2.3%
5 1
2.3%
7 1
2.3%
9 1
2.3%
10 1
2.3%
11 1
2.3%
12 2
4.5%
13 2
4.5%
14 2
4.5%
15 1
2.3%
ValueCountFrequency (%)
149 1
2.3%
94 1
2.3%
85 1
2.3%
67 1
2.3%
54 1
2.3%
49 1
2.3%
43 1
2.3%
41 1
2.3%
40 1
2.3%
39 1
2.3%

위도
Real number (ℝ)

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.522488
Minimum35.367694
Maximum37.56647
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-11T09:21:35.406961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.367694
5-th percentile35.376694
Q135.476327
median35.484928
Q335.498877
95-th percentile35.510726
Maximum37.56647
Range2.1987764
Interquartile range (IQR)0.02255033

Descriptive statistics

Standard deviation0.31760981
Coefficient of variation (CV)0.0089410913
Kurtosis42.65171
Mean35.522488
Median Absolute Deviation (MAD)0.012285515
Skewness6.4798593
Sum1562.9895
Variance0.10087599
MonotonicityNot monotonic
2023-12-11T09:21:35.828521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
35.48089665 1
 
2.3%
35.47589815 1
 
2.3%
35.50420997 1
 
2.3%
35.48460679 1
 
2.3%
35.49735441 1
 
2.3%
35.50145108 1
 
2.3%
35.484657 1
 
2.3%
35.48599101 1
 
2.3%
35.48736993 1
 
2.3%
35.482418 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
35.3676936 1
2.3%
35.36769516 1
2.3%
35.37660991 1
2.3%
35.37717045 1
2.3%
35.39606998 1
2.3%
35.45323854 1
2.3%
35.45923569 1
2.3%
35.46196197 1
2.3%
35.46216339 1
2.3%
35.47278338 1
2.3%
ValueCountFrequency (%)
37.56647 1
2.3%
35.5116217 1
2.3%
35.51117677 1
2.3%
35.50816959 1
2.3%
35.50620626 1
2.3%
35.50617334 1
2.3%
35.50420997 1
2.3%
35.50398501 1
2.3%
35.50341237 1
2.3%
35.50145108 1
2.3%

경도
Real number (ℝ)

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.70966
Minimum126.97796
Maximum128.84979
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-11T09:21:35.954057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.97796
5-th percentile128.71046
Q1128.74213
median128.74879
Q3128.75514
95-th percentile128.77335
Maximum128.84979
Range1.8718296
Interquartile range (IQR)0.0130104

Descriptive statistics

Standard deviation0.26815656
Coefficient of variation (CV)0.0020834222
Kurtosis43.28651
Mean128.70966
Median Absolute Deviation (MAD)0.006635
Skewness-6.5530135
Sum5663.225
Variance0.07190794
MonotonicityNot monotonic
2023-12-11T09:21:36.088977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
128.7520859 1
 
2.3%
128.7262965 1
 
2.3%
128.7533538 1
 
2.3%
128.7459361 1
 
2.3%
128.7474401 1
 
2.3%
128.7470925 1
 
2.3%
128.74593 1
 
2.3%
128.8497926 1
 
2.3%
128.7513099 1
 
2.3%
128.74884 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
126.977963 1
2.3%
128.690168 1
2.3%
128.7103319 1
2.3%
128.7111617 1
2.3%
128.7262965 1
2.3%
128.7328784 1
2.3%
128.7331358 1
2.3%
128.7347303 1
2.3%
128.7347784 1
2.3%
128.7374369 1
2.3%
ValueCountFrequency (%)
128.8497926 1
2.3%
128.8065458 1
2.3%
128.7734972 1
2.3%
128.7725472 1
2.3%
128.7622792 1
2.3%
128.7610617 1
2.3%
128.7604462 1
2.3%
128.7582769 1
2.3%
128.7578613 1
2.3%
128.7562057 1
2.3%

통학차량운영여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
운영(신고)
42 
미운영
 
2

Length

Max length6
Median length6
Mean length5.8636364
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영(신고) 42
95.5%
미운영 2
 
4.5%

Length

2023-12-11T09:21:36.221085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:21:36.318823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영(신고 42
95.5%
미운영 2
 
4.5%

인가일자
Date

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum1990-06-30 00:00:00
Maximum2021-08-02 00:00:00
2023-12-11T09:21:36.423399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:21:36.582492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

제공서비스
Categorical

Distinct4
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size484.0 B
일반
24 
야간연장
18 
야간연장,시간제보육
 
1
장애아통합,야간연장
 
1

Length

Max length10
Median length2
Mean length3.1818182
Min length2

Unique

Unique2 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
일반 24
54.5%
야간연장 18
40.9%
야간연장,시간제보육 1
 
2.3%
장애아통합,야간연장 1
 
2.3%

Length

2023-12-11T09:21:36.778558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:21:36.899388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 24
54.5%
야간연장 18
40.9%
야간연장,시간제보육 1
 
2.3%
장애아통합,야간연장 1
 
2.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum2023-08-21 00:00:00
Maximum2023-08-21 00:00:00
2023-12-11T09:21:37.020951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:21:37.108033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

시도명시군구명어린이집코드어린이집명어린이집유형구분운영현황우편번호상세주소어린이집전화번호어린이집팩스번호보육실수보육실 면적놀이터수CCTV설치수보육교직원수정원수현원수위도경도통학차량운영여부인가일자제공서비스데이터기준일자
0경상남도밀양시48270000117가온어린이집가정Y50439경상남도 밀양시 밀양대로 1755 제일훼미리 102-103055-927-8112055-927-811248005420935.480897128.752086운영(신고)2012-06-26일반2023-08-21
1경상남도밀양시48270000137꼬마대통령어린이집국공립Y50435경상남도 밀양시 삼문로 33-8055-354-3664055-604-6846512211012404035.488912128.742272운영(신고)2020-07-01야간연장2023-08-21
2경상남도밀양시48270000057꼬마사랑어린이집국공립Y50460경상남도 밀양시 하남읍 수산동촌4길 9-7055-391-4888<NA>52101711524935.37717128.711162운영(신고)2007-03-02야간연장2023-08-21
3경상남도밀양시48270000102꽃동산어린이집가정Y50420경상남도 밀양시 교동로5길 5-13055-353-5775055-353-5776458044201335.511177128.756206운영(신고)2010-12-08일반2023-08-21
4경상남도밀양시48270000045꿈나무어린이집가정Y50421경상남도 밀양시 미리벌로2길 48 106동 106호(세경웰러스)055-355-0264055-355-0264359046201235.500374128.755006운영(신고)1995-12-09야간연장2023-08-21
5경상남도밀양시48270000127내이어린이집국공립Y50419경상남도 밀양시 창밀로 3535 (내이동, LH아파트 단지 내 내이어린이집)055-355-0090055-355-00914124059391835.506206128.737437운영(신고)2014-07-18야간연장2023-08-21
6경상남도밀양시48270000132도뮤토어린이집민간Y50425경상남도 밀양시 점필재로 45-25 도뮤토아파트관리동055-354-8279055-354-2267386046281535.496927128.741701운영(신고)2015-11-09일반2023-08-21
7경상남도밀양시48270000060로뎀나무어린이집민간Y50450경상남도 밀양시 상남면 상남로 1187-42055-355-4866055-355-4865385045321035.462163128.750706운영(신고)2007-02-23일반2023-08-21
8경상남도밀양시48270000051미성어린이집사회복지법인Y50420경상남도 밀양시 교동로 32 (교동)055-355-5006055-356-7006827111410873235.506173128.752309운영(신고)2005-03-30야간연장2023-08-21
9경상남도밀양시48270000038밀신어린이집사회복지법인Y50405경상남도 밀양시 무안면 무안로 411-3055-355-0750050-4494-0158733428141108535.491112128.690168운영(신고)1990-06-30야간연장2023-08-21
시도명시군구명어린이집코드어린이집명어린이집유형구분운영현황우편번호상세주소어린이집전화번호어린이집팩스번호보육실수보육실 면적놀이터수CCTV설치수보육교직원수정원수현원수위도경도통학차량운영여부인가일자제공서비스데이터기준일자
34경상남도밀양시48270000135코끼리어린이집국공립Y50449경상남도 밀양시 고노실중앙길 41 코끼리어린이집055-354-4702<NA>41202713996735.459236128.751151운영(신고)2019-12-01야간연장,시간제보육2023-08-21
35경상남도밀양시48270000134파란하늘어린이집국공립Y50460경상남도 밀양시 하남읍 수산동촌3길 4 파란하늘어린이집055-391-6864055-391-721961922149723435.37661128.710332운영(신고)2019-08-01야간연장2023-08-21
36경상남도밀양시48270000047하남어린이집사회복지법인Y50461경상남도 밀양시 하남읍 대평4길 41055-391-7218055-391-01294215154652035.367694128.733136운영(신고)1995-06-09일반2023-08-21
37경상남도밀양시48270000028하남작은아이어린이집사회복지법인Y50461경상남도 밀양시 하남읍 대평4길 39-6055-391-7214055-391-0129413314446435.367695128.732878운영(신고)2005-03-31일반2023-08-21
38경상남도밀양시48270000123하늘별어린이집가정Y50438경상남도 밀양시 미리벌중앙로3길 47 푸르지오 102-104055-352-2698<NA>35204419535.479942128.74643운영(신고)2013-07-30일반2023-08-21
39경상남도밀양시48270000039한사랑어린이집사회복지법인Y50449경상남도 밀양시 상남면 상남로 1088-8055-354-0551055-354-055172982781083235.453239128.75323운영(신고)1997-02-11야간연장2023-08-21
40경상남도밀양시48270000140한신더휴어린이집국공립Y50424경상남도 밀양시 창밀로 3530055-356-1388<NA>53150814494337.56647126.977963운영(신고)2021-08-02일반2023-08-21
41경상남도밀양시48270000084해맑은어린이집민간Y50438경상남도 밀양시 미리벌중앙로1길 12-13055-351-2694070-4009-43215246389392435.48217128.74834운영(신고)2009-10-05야간연장2023-08-21
42경상남도밀양시48270000009해와달어린이집민간Y50403경상남도 밀양시 부북면 춘화로 45055-355-3302055-354-3382115531153116614935.50817128.745965운영(신고)2004-03-31장애아통합,야간연장2023-08-21
43경상남도밀양시48270000099해피코아루어린이집가정Y50434경상남도 밀양시 미리벌로3길 45 코아루아파트 107동102호 (삼문동)055-354-5433<NA>452046191735.483096128.744009운영(신고)2010-10-21일반2023-08-21