Overview

Dataset statistics

Number of variables15
Number of observations64
Missing cells81
Missing cells (%)8.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.9 KiB
Average record size in memory127.1 B

Variable types

Text4
Categorical5
Numeric3
Unsupported1
Boolean1
DateTime1

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
홈페이지주소 has constant value ""Constant
데이터기준일자 has constant value ""Constant
정원수 is highly overall correlated with 보육교직원수 and 1 other fieldsHigh correlation
보육교직원수 is highly overall correlated with 정원수 and 1 other fieldsHigh correlation
보육실수 is highly overall correlated with 정원수 and 1 other fieldsHigh correlation
어린이집유형구분 is highly overall correlated with 통학차량운영여부High correlation
통학차량운영여부 is highly overall correlated with 어린이집유형구분High correlation
통학차량운영여부 is highly imbalanced (79.9%)Imbalance
어린이집팩스번호 has 17 (26.6%) missing valuesMissing
CCTV설치수 has 64 (100.0%) missing valuesMissing
어린이집명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
어린이집전화번호 has unique valuesUnique
CCTV설치수 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 00:21:21.139901
Analysis finished2023-12-11 00:21:22.787071
Duration1.65 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

어린이집명
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-11T09:21:22.942678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length7.109375
Min length6

Characters and Unicode

Total characters455
Distinct characters115
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

Unique64 ?
Unique (%)100.0%

Sample

1st row가람어린이집
2nd row가온어린이집
3rd row금곡어린이집
4th row깜비어린이집
5th row꼬마대통령 어린이집
ValueCountFrequency (%)
어린이집 3
 
4.5%
가람어린이집 1
 
1.5%
아띠몬테소리어린이집 1
 
1.5%
예랑어린이집 1
 
1.5%
엔젤어린이집 1
 
1.5%
아이원어린이집 1
 
1.5%
아이숲어린이집 1
 
1.5%
아이뜰어린이집 1
 
1.5%
아랑자연어린이집 1
 
1.5%
아가페어린이집 1
 
1.5%
Other values (55) 55
82.1%
2023-12-11T09:21:23.320103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 70
15.4%
어 64
14.1%
린 64
14.1%
집 64
14.1%
아 9
 
2.0%
랑 8
 
1.8%
사 7
 
1.5%
은 5
 
1.1%
하 5
 
1.1%
밀 4
 
0.9%
Other values (105) 155
34.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 452
99.3%
Space Separator 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 70
15.5%
어 64
14.2%
린 64
14.2%
집 64
14.2%
아 9
 
2.0%
랑 8
 
1.8%
사 7
 
1.5%
은 5
 
1.1%
하 5
 
1.1%
밀 4
 
0.9%
Other values (104) 152
33.6%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 452
99.3%
Common 3
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 70
15.5%
어 64
14.2%
린 64
14.2%
집 64
14.2%
아 9
 
2.0%
랑 8
 
1.8%
사 7
 
1.5%
은 5
 
1.1%
하 5
 
1.1%
밀 4
 
0.9%
Other values (104) 152
33.6%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 452
99.3%
ASCII 3
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 70
15.5%
어 64
14.2%
린 64
14.2%
집 64
14.2%
아 9
 
2.0%
랑 8
 
1.8%
사 7
 
1.5%
은 5
 
1.1%
하 5
 
1.1%
밀 4
 
0.9%
Other values (104) 152
33.6%
ASCII
ValueCountFrequency (%)
3
100.0%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
경상남도
64 

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 64
100.0%

Length

2023-12-11T09:21:23.455988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:21:23.548576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 64
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
밀양시
64 

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 64
100.0%

Length

2023-12-11T09:21:23.643713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:21:23.729908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
밀양시 64
100.0%

어린이집유형구분
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size644.0 B
민간
28 
가정
23 
사회복지법인
8 
국공립
3 
직장
 
1

Length

Max length6
Median length2
Mean length2.59375
Min length2

Unique

Unique2 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
민간 28
43.8%
가정 23
35.9%
사회복지법인 8
 
12.5%
국공립 3
 
4.7%
직장 1
 
1.6%
법인·단체 1
 
1.6%

Length

2023-12-11T09:21:23.851524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:21:23.968083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간 28
43.8%
가정 23
35.9%
사회복지법인 8
 
12.5%
국공립 3
 
4.7%
직장 1
 
1.6%
법인·단체 1
 
1.6%

정원수
Real number (ℝ)

HIGH CORRELATION 

Distinct32
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.265625
Minimum13
Maximum194
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-11T09:21:24.093215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile19
Q120
median37
Q357.5
95-th percentile125.3
Maximum194
Range181
Interquartile range (IQR)37.5

Descriptive statistics

Standard deviation37.788149
Coefficient of variation (CV)0.78292053
Kurtosis3.3508016
Mean48.265625
Median Absolute Deviation (MAD)17
Skewness1.7987091
Sum3089
Variance1427.9442
MonotonicityNot monotonic
2023-12-11T09:21:24.209982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
20 13
20.3%
19 8
 
12.5%
39 7
 
10.9%
49 3
 
4.7%
46 2
 
3.1%
37 2
 
3.1%
31 2
 
3.1%
99 2
 
3.1%
28 2
 
3.1%
77 1
 
1.6%
Other values (22) 22
34.4%
ValueCountFrequency (%)
13 1
 
1.6%
16 1
 
1.6%
19 8
12.5%
20 13
20.3%
28 2
 
3.1%
31 2
 
3.1%
32 1
 
1.6%
34 1
 
1.6%
35 1
 
1.6%
36 1
 
1.6%
ValueCountFrequency (%)
194 1
1.6%
159 1
1.6%
130 1
1.6%
128 1
1.6%
110 1
1.6%
108 1
1.6%
104 1
1.6%
99 2
3.1%
87 1
1.6%
80 1
1.6%

보육교직원수
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.296875
Minimum2
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-11T09:21:24.345251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16
median7
Q39
95-th percentile17.7
Maximum29
Range27
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.7765289
Coefficient of variation (CV)0.57570216
Kurtosis5.7043241
Mean8.296875
Median Absolute Deviation (MAD)2
Skewness2.133979
Sum531
Variance22.815228
MonotonicityNot monotonic
2023-12-11T09:21:24.468270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
6 13
20.3%
8 9
14.1%
7 7
10.9%
5 7
10.9%
9 5
 
7.8%
4 5
 
7.8%
10 4
 
6.2%
11 3
 
4.7%
3 2
 
3.1%
16 2
 
3.1%
Other values (6) 7
10.9%
ValueCountFrequency (%)
2 1
 
1.6%
3 2
 
3.1%
4 5
 
7.8%
5 7
10.9%
6 13
20.3%
7 7
10.9%
8 9
14.1%
9 5
 
7.8%
10 4
 
6.2%
11 3
 
4.7%
ValueCountFrequency (%)
29 1
 
1.6%
22 1
 
1.6%
20 1
 
1.6%
18 1
 
1.6%
16 2
 
3.1%
15 2
 
3.1%
11 3
 
4.7%
10 4
6.2%
9 5
7.8%
8 9
14.1%

소재지도로명주소
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-11T09:21:24.776312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length36
Mean length26.71875
Min length15

Characters and Unicode

Total characters1710
Distinct characters134
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

Unique64 ?
Unique (%)100.0%

Sample

1st row경상남도 밀양시 미리벌로2길 48 세경웰러스 106-102
2nd row경상남도 밀양시 밀양대로 1755 제일훼미리 102-103
3rd row경상남도 밀양시 산외면 산외로 697-3
4th row경상남도 밀양시 교동로5길 22-10
5th row경상남도 밀양시 삼문로 33-8
ValueCountFrequency (%)
경상남도 64
 
18.7%
밀양시 64
 
18.7%
하남읍 6
 
1.7%
삼문동 6
 
1.7%
미리벌로2길 6
 
1.7%
중앙로 5
 
1.5%
상남면 5
 
1.5%
상남로 5
 
1.5%
48 4
 
1.2%
내이동 4
 
1.2%
Other values (142) 174
50.7%
2023-12-11T09:21:25.179622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
280
 
16.4%
1 87
 
5.1%
남 80
 
4.7%
상 74
 
4.3%
경 70
 
4.1%
밀 70
 
4.1%
양 68
 
4.0%
시 68
 
4.0%
도 65
 
3.8%
로 51
 
3.0%
Other values (124) 797
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1015
59.4%
Decimal Number 321
 
18.8%
Space Separator 280
 
16.4%
Dash Punctuation 35
 
2.0%
Close Punctuation 22
 
1.3%
Open Punctuation 22
 
1.3%
Other Punctuation 6
 
0.4%
Lowercase Letter 5
 
0.3%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 80
 
7.9%
상 74
 
7.3%
경 70
 
6.9%
밀 70
 
6.9%
양 68
 
6.7%
시 68
 
6.7%
도 65
 
6.4%
로 51
 
5.0%
동 42
 
4.1%
길 35
 
3.4%
Other values (101) 392
38.6%
Decimal Number
ValueCountFrequency (%)
1 87
27.1%
0 40
12.5%
3 38
11.8%
2 31
 
9.7%
4 30
 
9.3%
5 27
 
8.4%
8 22
 
6.9%
7 19
 
5.9%
6 16
 
5.0%
9 11
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
l 2
40.0%
s 1
20.0%
u 1
20.0%
e 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
W 1
25.0%
L 1
25.0%
H 1
25.0%
Space Separator
ValueCountFrequency (%)
280
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1015
59.4%
Common 686
40.1%
Latin 9
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 80
 
7.9%
상 74
 
7.3%
경 70
 
6.9%
밀 70
 
6.9%
양 68
 
6.7%
시 68
 
6.7%
도 65
 
6.4%
로 51
 
5.0%
동 42
 
4.1%
길 35
 
3.4%
Other values (101) 392
38.6%
Common
ValueCountFrequency (%)
280
40.8%
1 87
 
12.7%
0 40
 
5.8%
3 38
 
5.5%
- 35
 
5.1%
2 31
 
4.5%
4 30
 
4.4%
5 27
 
3.9%
8 22
 
3.2%
) 22
 
3.2%
Other values (5) 74
 
10.8%
Latin
ValueCountFrequency (%)
l 2
22.2%
A 1
11.1%
s 1
11.1%
u 1
11.1%
W 1
11.1%
e 1
11.1%
L 1
11.1%
H 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1015
59.4%
ASCII 695
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
280
40.3%
1 87
 
12.5%
0 40
 
5.8%
3 38
 
5.5%
- 35
 
5.0%
2 31
 
4.5%
4 30
 
4.3%
5 27
 
3.9%
8 22
 
3.2%
) 22
 
3.2%
Other values (13) 83
 
11.9%
Hangul
ValueCountFrequency (%)
남 80
 
7.9%
상 74
 
7.3%
경 70
 
6.9%
밀 70
 
6.9%
양 68
 
6.7%
시 68
 
6.7%
도 65
 
6.4%
로 51
 
5.0%
동 42
 
4.1%
길 35
 
3.4%
Other values (101) 392
38.6%

어린이집전화번호
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-11T09:21:25.431011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.015625
Min length12

Characters and Unicode

Total characters769
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

Unique64 ?
Unique (%)100.0%

Sample

1st row055-355-5441
2nd row055-927-8112
3rd row055-351-1351
4th row055-351-2004
5th row055-354-3664
ValueCountFrequency (%)
055-355-5441 1
 
1.6%
055-927-8112 1
 
1.6%
055-356-5294 1
 
1.6%
055-352-8859 1
 
1.6%
055-356-6828 1
 
1.6%
055-353-6543 1
 
1.6%
055-352-8777 1
 
1.6%
055-355-8696 1
 
1.6%
055-355-1479 1
 
1.6%
055-354-6030 1
 
1.6%
Other values (54) 54
84.4%
2023-12-11T09:21:25.844040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 226
29.4%
- 128
16.6%
0 103
13.4%
3 93
12.1%
1 46
 
6.0%
2 34
 
4.4%
4 32
 
4.2%
6 30
 
3.9%
7 27
 
3.5%
8 26
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 641
83.4%
Dash Punctuation 128
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 226
35.3%
0 103
16.1%
3 93
14.5%
1 46
 
7.2%
2 34
 
5.3%
4 32
 
5.0%
6 30
 
4.7%
7 27
 
4.2%
8 26
 
4.1%
9 24
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 128
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 769
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 226
29.4%
- 128
16.6%
0 103
13.4%
3 93
12.1%
1 46
 
6.0%
2 34
 
4.4%
4 32
 
4.2%
6 30
 
3.9%
7 27
 
3.5%
8 26
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 769
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 226
29.4%
- 128
16.6%
0 103
13.4%
3 93
12.1%
1 46
 
6.0%
2 34
 
4.4%
4 32
 
4.2%
6 30
 
3.9%
7 27
 
3.5%
8 26
 
3.4%

어린이집팩스번호
Text

MISSING 

Distinct45
Distinct (%)95.7%
Missing17
Missing (%)26.6%
Memory size644.0 B
2023-12-11T09:21:26.060106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters564
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

Unique43 ?
Unique (%)91.5%

Sample

1st row055-355-5441
2nd row055-927-8112
3rd row055-351-1350
4th row055-351-2045
5th row055-604-6846
ValueCountFrequency (%)
055-352-7079 2
 
4.3%
055-391-0129 2
 
4.3%
055-355-8252 1
 
2.1%
055-353-1157 1
 
2.1%
055-353-7093 1
 
2.1%
055-355-9272 1
 
2.1%
055-355-5441 1
 
2.1%
055-352-1253 1
 
2.1%
055-355-0070 1
 
2.1%
055-352-8777 1
 
2.1%
Other values (35) 35
74.5%
2023-12-11T09:21:26.371963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 169
30.0%
- 94
16.7%
0 76
13.5%
3 62
 
11.0%
1 36
 
6.4%
2 30
 
5.3%
7 24
 
4.3%
4 21
 
3.7%
9 20
 
3.5%
6 20
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 470
83.3%
Dash Punctuation 94
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 169
36.0%
0 76
16.2%
3 62
 
13.2%
1 36
 
7.7%
2 30
 
6.4%
7 24
 
5.1%
4 21
 
4.5%
9 20
 
4.3%
6 20
 
4.3%
8 12
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 564
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 169
30.0%
- 94
16.7%
0 76
13.5%
3 62
 
11.0%
1 36
 
6.4%
2 30
 
5.3%
7 24
 
4.3%
4 21
 
3.7%
9 20
 
3.5%
6 20
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 564
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 169
30.0%
- 94
16.7%
0 76
13.5%
3 62
 
11.0%
1 36
 
6.4%
2 30
 
5.3%
7 24
 
4.3%
4 21
 
3.7%
9 20
 
3.5%
6 20
 
3.5%

보육실수
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.84375
Minimum2
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-11T09:21:26.484210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median4
Q36
95-th percentile9
Maximum13
Range11
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.262312
Coefficient of variation (CV)0.46705796
Kurtosis2.5754105
Mean4.84375
Median Absolute Deviation (MAD)1
Skewness1.6180181
Sum310
Variance5.1180556
MonotonicityNot monotonic
2023-12-11T09:21:26.582498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
4 26
40.6%
3 15
23.4%
7 8
 
12.5%
5 4
 
6.2%
2 2
 
3.1%
6 2
 
3.1%
8 2
 
3.1%
11 2
 
3.1%
9 2
 
3.1%
13 1
 
1.6%
ValueCountFrequency (%)
2 2
 
3.1%
3 15
23.4%
4 26
40.6%
5 4
 
6.2%
6 2
 
3.1%
7 8
 
12.5%
8 2
 
3.1%
9 2
 
3.1%
11 2
 
3.1%
13 1
 
1.6%
ValueCountFrequency (%)
13 1
 
1.6%
11 2
 
3.1%
9 2
 
3.1%
8 2
 
3.1%
7 8
 
12.5%
6 2
 
3.1%
5 4
 
6.2%
4 26
40.6%
3 15
23.4%
2 2
 
3.1%

놀이터수
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
35 
1
29 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 35
54.7%
1 29
45.3%

Length

2023-12-11T09:21:26.920135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:21:27.005742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
54.7%
1 29
45.3%

CCTV설치수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

통학차량운영여부
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size196.0 B
True
62 
False
 
2
ValueCountFrequency (%)
True 62
96.9%
False 2
 
3.1%
2023-12-11T09:21:27.080556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

홈페이지주소
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
없음
64 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
없음 64
100.0%

Length

2023-12-11T09:21:27.177085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:21:27.267699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 64
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
Minimum2017-11-23 00:00:00
Maximum2017-11-23 00:00:00
2023-12-11T09:21:27.335230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:21:27.416689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T09:21:22.222664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:21:21.675692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:21:21.965002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:21:22.302543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:21:21.787251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:21:22.072356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:21:22.399154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:21:21.872794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:21:22.146153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:21:27.484028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
어린이집명어린이집유형구분정원수보육교직원수소재지도로명주소어린이집전화번호어린이집팩스번호보육실수놀이터수통학차량운영여부
어린이집명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
어린이집유형구분1.0001.0000.6690.0001.0001.0001.0000.4910.2640.869
정원수1.0000.6691.0000.9371.0001.0000.8890.9630.0000.000
보육교직원수1.0000.0000.9371.0001.0001.0000.5750.9120.2590.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
어린이집전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
어린이집팩스번호1.0001.0000.8890.5751.0001.0001.0000.9980.665NaN
보육실수1.0000.4910.9630.9121.0001.0000.9981.0000.0000.000
놀이터수1.0000.2640.0000.2591.0001.0000.6650.0001.0000.000
통학차량운영여부1.0000.8690.0000.0001.0001.000NaN0.0000.0001.000
2023-12-11T09:21:27.630682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
어린이집유형구분통학차량운영여부놀이터수
어린이집유형구분1.0000.6560.180
통학차량운영여부0.6561.0000.000
놀이터수0.1800.0001.000
2023-12-11T09:21:27.721029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정원수보육교직원수보육실수어린이집유형구분놀이터수통학차량운영여부
정원수1.0000.6700.7880.3950.0000.000
보육교직원수0.6701.0000.5810.0000.2400.000
보육실수0.7880.5811.0000.2580.0000.000
어린이집유형구분0.3950.0000.2581.0000.1800.656
놀이터수0.0000.2400.0000.1801.0000.000
통학차량운영여부0.0000.0000.0000.6560.0001.000

Missing values

2023-12-11T09:21:22.512771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:21:22.708864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

어린이집명시도명시군구명어린이집유형구분정원수보육교직원수소재지도로명주소어린이집전화번호어린이집팩스번호보육실수놀이터수CCTV설치수통학차량운영여부홈페이지주소데이터기준일자
0가람어린이집경상남도밀양시가정206경상남도 밀양시 미리벌로2길 48 세경웰러스 106-102055-355-5441055-355-544130<NA>Y없음2017-11-23
1가온어린이집경상남도밀양시가정206경상남도 밀양시 밀양대로 1755 제일훼미리 102-103055-927-8112055-927-811240<NA>Y없음2017-11-23
2금곡어린이집경상남도밀양시가정202경상남도 밀양시 산외면 산외로 697-3055-351-1351055-351-135020<NA>Y없음2017-11-23
3깜비어린이집경상남도밀양시가정193경상남도 밀양시 교동로5길 22-10055-351-2004055-351-204531<NA>Y없음2017-11-23
4꼬마대통령 어린이집경상남도밀양시민간3611경상남도 밀양시 삼문로 33-8055-354-3664055-604-684641<NA>Y없음2017-11-23
5꼬마또래어린이집경상남도밀양시가정194경상남도 밀양시 밀성로 20 궁전하이츠빌라 1차 101호1층 꼬마또래어린이집070-7354-8836<NA>41<NA>Y없음2017-11-23
6꼬마사랑어린이집경상남도밀양시민간5211경상남도 밀양시 하남읍 수산동촌4길 9-7055-391-4888<NA>51<NA>Y없음2017-11-23
7꽃동산어린이집경상남도밀양시가정206경상남도 밀양시 교동로5길 5-13055-353-5775055-353-577641<NA>Y없음2017-11-23
8꿈나무어린이집경상남도밀양시가정208경상남도 밀양시 미리벌로2길 48 106동 106호(세경웰러스)055-355-0264055-355-026431<NA>Y없음2017-11-23
9내이어린이집경상남도밀양시국공립3910경상남도 밀양시 창밀로 3535 (내이동, LH아파트 단지 내 내이어린이집)055-355-0090055-355-009141<NA>Y없음2017-11-23
어린이집명시도명시군구명어린이집유형구분정원수보육교직원수소재지도로명주소어린이집전화번호어린이집팩스번호보육실수놀이터수CCTV설치수통학차량운영여부홈페이지주소데이터기준일자
54초록별어린이집경상남도밀양시민간374경상남도 밀양시 북성로5길 26 (내이동)055-353-1500<NA>40<NA>Y없음2017-11-23
55파란하늘어린이집경상남도밀양시민간779경상남도 밀양시 하남읍 수산동촌3길 4055-391-6864055-391-721970<NA>Y없음2017-11-23
56하남어린이집경상남도밀양시사회복지법인654경상남도 밀양시 하남읍 대평4길 41055-391-7218055-391-012941<NA>Y없음2017-11-23
57하남작은아이어린이집경상남도밀양시사회복지법인468경상남도 밀양시 하남읍 대평4길 39-6055-391-7214055-391-012940<NA>Y없음2017-11-23
58하늘별어린이집경상남도밀양시가정195경상남도 밀양시 미리벌중앙로3길 47 푸르지오 102-104055-352-2698<NA>30<NA>Y없음2017-11-23
59하니어린이집경상남도밀양시가정195경상남도 밀양시 밀양대로 1755 103동 107호(삼문동, 제일훼미리아파트)055-355-8252055-355-825240<NA>Y없음2017-11-23
60한사랑어린이집경상남도밀양시사회복지법인1089경상남도 밀양시 상남면 상남로 1088-8055-354-0551055-354-055170<NA>Y없음2017-11-23
61해맑은어린이집경상남도밀양시민간497경상남도 밀양시 미리벌중앙로1길 12-13055-351-2694<NA>70<NA>Y없음2017-11-23
62해와달어린이집경상남도밀양시민간15929경상남도 밀양시 부북면 춘화로 45055-355-3302055-354-3382110<NA>Y없음2017-11-23
63해피코아루어린이집경상남도밀양시가정195경상남도 밀양시 미리벌로3길 45 코아루아파트 107동102허 (삼문동)055-354-5433<NA>40<NA>Y없음2017-11-23