Overview

Dataset statistics

Number of variables12
Number of observations137
Missing cells19
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.5 KiB
Average record size in memory100.9 B

Variable types

Text4
Categorical5
Numeric3

Dataset

Description부산광역시 기장군 소재 어린이집에 대한 현황자료입니다. 내용은 어린이집명, 유형, 정원수, 소재지, 전화번호 등 입니다
Author부산광역시 기장군
URLhttps://www.data.go.kr/data/3072039/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
정원 is highly overall correlated with 보육교직원현원 and 1 other fieldsHigh correlation
보육교직원현원 is highly overall correlated with 정원 and 1 other fieldsHigh correlation
보육실수 is highly overall correlated with 정원 and 1 other fieldsHigh correlation
팩스번호 has 19 (13.9%) missing valuesMissing
어린이집명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-15 02:01:17.709722
Analysis finished2024-03-15 02:01:21.752034
Duration4.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

어린이집명
Text

UNIQUE 

Distinct137
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-15T11:01:22.505736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length8.270073
Min length6

Characters and Unicode

Total characters1133
Distinct characters194
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

Unique137 ?
Unique (%)100.0%

Sample

1st rowEG아이숲어린이집
2nd row가동캐슬어린이집
3rd row가온어린이집
4th row가화사랑어린이집
5th row가화숲어린이집
ValueCountFrequency (%)
어린이집 4
 
2.8%
eg아이숲어린이집 1
 
0.7%
아이조아어린이집 1
 
0.7%
장안어린이집 1
 
0.7%
자연어린이집 1
 
0.7%
일광한신더휴센트럴포레2어린이집 1
 
0.7%
일광한신더휴센트럴포레1어린이집 1
 
0.7%
일광자이푸르지오2어린이집 1
 
0.7%
일광자이푸르지오1어린이집 1
 
0.7%
일광이지더원3차메르센포레어린이집 1
 
0.7%
Other values (131) 131
91.0%
2024-03-15T11:01:24.037097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 162
 
14.3%
린 139
 
12.3%
어 138
 
12.2%
집 137
 
12.1%
동 21
 
1.9%
일 20
 
1.8%
아 19
 
1.7%
원 16
 
1.4%
광 13
 
1.1%
차 12
 
1.1%
Other values (184) 456
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1098
96.9%
Decimal Number 23
 
2.0%
Space Separator 7
 
0.6%
Uppercase Letter 2
 
0.2%
Lowercase Letter 1
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 162
 
14.8%
린 139
 
12.7%
어 138
 
12.6%
집 137
 
12.5%
동 21
 
1.9%
일 20
 
1.8%
아 19
 
1.7%
원 16
 
1.5%
광 13
 
1.2%
차 12
 
1.1%
Other values (170) 421
38.3%
Decimal Number
ValueCountFrequency (%)
2 9
39.1%
1 5
21.7%
3 3
 
13.0%
5 2
 
8.7%
8 1
 
4.3%
7 1
 
4.3%
6 1
 
4.3%
4 1
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
E 1
50.0%
G 1
50.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1098
96.9%
Common 32
 
2.8%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 162
 
14.8%
린 139
 
12.7%
어 138
 
12.6%
집 137
 
12.5%
동 21
 
1.9%
일 20
 
1.8%
아 19
 
1.7%
원 16
 
1.5%
광 13
 
1.2%
차 12
 
1.1%
Other values (170) 421
38.3%
Common
ValueCountFrequency (%)
2 9
28.1%
7
21.9%
1 5
15.6%
3 3
 
9.4%
5 2
 
6.2%
( 1
 
3.1%
8 1
 
3.1%
7 1
 
3.1%
6 1
 
3.1%
4 1
 
3.1%
Latin
ValueCountFrequency (%)
e 1
33.3%
E 1
33.3%
G 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1098
96.9%
ASCII 35
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 162
 
14.8%
린 139
 
12.7%
어 138
 
12.6%
집 137
 
12.5%
동 21
 
1.9%
일 20
 
1.8%
아 19
 
1.7%
원 16
 
1.5%
광 13
 
1.2%
차 12
 
1.1%
Other values (170) 421
38.3%
ASCII
ValueCountFrequency (%)
2 9
25.7%
7
20.0%
1 5
14.3%
3 3
 
8.6%
5 2
 
5.7%
e 1
 
2.9%
( 1
 
2.9%
8 1
 
2.9%
7 1
 
2.9%
6 1
 
2.9%
Other values (4) 4
11.4%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
부산광역시
137 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산광역시 137
100.0%

Length

2024-03-15T11:01:24.447754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T11:01:24.751560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 137
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
기장군
137 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기장군 137
100.0%

Length

2024-03-15T11:01:25.078520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T11:01:25.388954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기장군 137
100.0%

어린이집유형
Categorical

Distinct6
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
가정
48 
민간
47 
국공립
30 
직장
6 
사회복지법인
5 

Length

Max length6
Median length2
Mean length2.3649635
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
가정 48
35.0%
민간 47
34.3%
국공립 30
21.9%
직장 6
 
4.4%
사회복지법인 5
 
3.6%
협동 1
 
0.7%

Length

2024-03-15T11:01:25.608935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T11:01:25.927903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정 48
35.0%
민간 47
34.3%
국공립 30
21.9%
직장 6
 
4.4%
사회복지법인 5
 
3.6%
협동 1
 
0.7%

정원
Real number (ℝ)

HIGH CORRELATION 

Distinct45
Distinct (%)32.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.759124
Minimum16
Maximum210
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-15T11:01:26.154511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile20
Q120
median39
Q361
95-th percentile138.4
Maximum210
Range194
Interquartile range (IQR)41

Descriptive statistics

Standard deviation38.463796
Coefficient of variation (CV)0.7888533
Kurtosis2.7753563
Mean48.759124
Median Absolute Deviation (MAD)19
Skewness1.7370937
Sum6680
Variance1479.4636
MonotonicityNot monotonic
2024-03-15T11:01:26.504694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
20 44
32.1%
39 24
17.5%
21 5
 
3.6%
49 5
 
3.6%
19 4
 
2.9%
62 3
 
2.2%
70 3
 
2.2%
150 2
 
1.5%
78 2
 
1.5%
54 2
 
1.5%
Other values (35) 43
31.4%
ValueCountFrequency (%)
16 1
 
0.7%
18 1
 
0.7%
19 4
 
2.9%
20 44
32.1%
21 5
 
3.6%
25 2
 
1.5%
33 2
 
1.5%
34 1
 
0.7%
37 2
 
1.5%
39 24
17.5%
ValueCountFrequency (%)
210 1
0.7%
164 1
0.7%
153 1
0.7%
150 2
1.5%
144 1
0.7%
140 1
0.7%
138 1
0.7%
136 1
0.7%
130 1
0.7%
121 1
0.7%

보육교직원현원
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.452555
Minimum2
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-15T11:01:26.822838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median9
Q313
95-th percentile21.2
Maximum48
Range46
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.7509217
Coefficient of variation (CV)0.55019293
Kurtosis12.420425
Mean10.452555
Median Absolute Deviation (MAD)3
Skewness2.4290849
Sum1432
Variance33.0731
MonotonicityNot monotonic
2024-03-15T11:01:27.332080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
7 15
10.9%
12 14
10.2%
6 14
10.2%
9 13
9.5%
8 11
 
8.0%
10 10
 
7.3%
5 9
 
6.6%
15 7
 
5.1%
14 7
 
5.1%
11 6
 
4.4%
Other values (12) 31
22.6%
ValueCountFrequency (%)
2 3
 
2.2%
3 3
 
2.2%
4 3
 
2.2%
5 9
6.6%
6 14
10.2%
7 15
10.9%
8 11
8.0%
9 13
9.5%
10 10
7.3%
11 6
 
4.4%
ValueCountFrequency (%)
48 1
 
0.7%
23 3
2.2%
22 3
2.2%
21 1
 
0.7%
19 3
2.2%
18 1
 
0.7%
17 2
 
1.5%
16 4
2.9%
15 7
5.1%
14 7
5.1%

주소
Text

Distinct136
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-15T11:01:28.816048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length37
Mean length30.934307
Min length17

Characters and Unicode

Total characters4238
Distinct characters150
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

Unique135 ?
Unique (%)98.5%

Sample

1st row부산광역시 기장군 정관읍 정관로 350 이지더원 3차 관리동
2nd row부산광역시 기장군 정관읍 가동3로 19 이진캐스빌2차 104동 105호
3rd row부산광역시 기장군 정관읍 정관4로 24 동일스위트 1차 109-104
4th row부산광역시 기장군 정관읍 방곡로 39 가화정관타운 관리동
5th row부산광역시 기장군 정관읍 구연방곡로 120 가화만사성더테라스아파트
ValueCountFrequency (%)
부산광역시 137
 
15.5%
기장군 137
 
15.5%
정관읍 80
 
9.1%
기장읍 31
 
3.5%
관리동 29
 
3.3%
24 12
 
1.4%
9 10
 
1.1%
정관4로 10
 
1.1%
정관2로 9
 
1.0%
정관3로 9
 
1.0%
Other values (239) 418
47.4%
2024-03-15T11:01:30.562977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
747
 
17.6%
1 218
 
5.1%
장 174
 
4.1%
기 170
 
4.0%
관 167
 
3.9%
산 151
 
3.6%
광 145
 
3.4%
시 142
 
3.4%
부 141
 
3.3%
정 138
 
3.3%
Other values (140) 2045
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2657
62.7%
Decimal Number 769
 
18.1%
Space Separator 747
 
17.6%
Dash Punctuation 32
 
0.8%
Open Punctuation 12
 
0.3%
Close Punctuation 12
 
0.3%
Uppercase Letter 4
 
0.1%
Lowercase Letter 3
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 174
 
6.5%
기 170
 
6.4%
관 167
 
6.3%
산 151
 
5.7%
광 145
 
5.5%
시 142
 
5.3%
부 141
 
5.3%
정 138
 
5.2%
역 137
 
5.2%
군 137
 
5.2%
Other values (118) 1155
43.5%
Decimal Number
ValueCountFrequency (%)
1 218
28.3%
2 113
14.7%
0 112
14.6%
4 90
11.7%
3 82
 
10.7%
5 58
 
7.5%
6 39
 
5.1%
9 26
 
3.4%
7 16
 
2.1%
8 15
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
G 1
25.0%
E 1
25.0%
H 1
25.0%
L 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
h 1
33.3%
e 1
33.3%
t 1
33.3%
Space Separator
ValueCountFrequency (%)
747
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2657
62.7%
Common 1574
37.1%
Latin 7
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 174
 
6.5%
기 170
 
6.4%
관 167
 
6.3%
산 151
 
5.7%
광 145
 
5.5%
시 142
 
5.3%
부 141
 
5.3%
정 138
 
5.2%
역 137
 
5.2%
군 137
 
5.2%
Other values (118) 1155
43.5%
Common
ValueCountFrequency (%)
747
47.5%
1 218
 
13.9%
2 113
 
7.2%
0 112
 
7.1%
4 90
 
5.7%
3 82
 
5.2%
5 58
 
3.7%
6 39
 
2.5%
- 32
 
2.0%
9 26
 
1.7%
Other values (5) 57
 
3.6%
Latin
ValueCountFrequency (%)
G 1
14.3%
h 1
14.3%
e 1
14.3%
t 1
14.3%
E 1
14.3%
H 1
14.3%
L 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2657
62.7%
ASCII 1581
37.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
747
47.2%
1 218
 
13.8%
2 113
 
7.1%
0 112
 
7.1%
4 90
 
5.7%
3 82
 
5.2%
5 58
 
3.7%
6 39
 
2.5%
- 32
 
2.0%
9 26
 
1.6%
Other values (12) 64
 
4.0%
Hangul
ValueCountFrequency (%)
장 174
 
6.5%
기 170
 
6.4%
관 167
 
6.3%
산 151
 
5.7%
광 145
 
5.5%
시 142
 
5.3%
부 141
 
5.3%
정 138
 
5.2%
역 137
 
5.2%
군 137
 
5.2%
Other values (118) 1155
43.5%

전화번호
Text

UNIQUE 

Distinct137
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-15T11:01:31.589475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.007299
Min length12

Characters and Unicode

Total characters1645
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

Unique137 ?
Unique (%)100.0%

Sample

1st row051-728-0055
2nd row051-996-1002
3rd row051-728-5528
4th row051-723-5050
5th row051-728-0332
ValueCountFrequency (%)
051-728-0055 1
 
0.7%
051-723-9911 1
 
0.7%
051-727-5852 1
 
0.7%
051-728-4289 1
 
0.7%
051-723-6242 1
 
0.7%
051-723-1252 1
 
0.7%
051-710-9876 1
 
0.7%
051-995-3004 1
 
0.7%
051-723-8780 1
 
0.7%
051-723-5003 1
 
0.7%
Other values (127) 127
92.7%
2024-03-15T11:01:33.340039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 274
16.7%
0 227
13.8%
1 226
13.7%
7 210
12.8%
5 207
12.6%
2 189
11.5%
8 89
 
5.4%
3 70
 
4.3%
9 60
 
3.6%
4 49
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1371
83.3%
Dash Punctuation 274
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 227
16.6%
1 226
16.5%
7 210
15.3%
5 207
15.1%
2 189
13.8%
8 89
 
6.5%
3 70
 
5.1%
9 60
 
4.4%
4 49
 
3.6%
6 44
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 274
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1645
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 274
16.7%
0 227
13.8%
1 226
13.7%
7 210
12.8%
5 207
12.6%
2 189
11.5%
8 89
 
5.4%
3 70
 
4.3%
9 60
 
3.6%
4 49
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1645
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 274
16.7%
0 227
13.8%
1 226
13.7%
7 210
12.8%
5 207
12.6%
2 189
11.5%
8 89
 
5.4%
3 70
 
4.3%
9 60
 
3.6%
4 49
 
3.0%

팩스번호
Text

MISSING 

Distinct118
Distinct (%)100.0%
Missing19
Missing (%)13.9%
Memory size1.2 KiB
2024-03-15T11:01:34.461901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.09322
Min length12

Characters and Unicode

Total characters1427
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

Unique118 ?
Unique (%)100.0%

Sample

1st row051-996-1002
2nd row051-724-9500
3rd row051-931-5050
4th row051-728-7978
5th row051-723-0565
ValueCountFrequency (%)
051-728-7087 1
 
0.8%
051-727-2774 1
 
0.8%
051-911-0555 1
 
0.8%
051-727-5662 1
 
0.8%
051-723-0116 1
 
0.8%
051-727-3343 1
 
0.8%
051-723-6243 1
 
0.8%
051-724-1252 1
 
0.8%
051-710-9875 1
 
0.8%
051-995-3005 1
 
0.8%
Other values (108) 108
91.5%
2024-03-15T11:01:36.003077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 236
16.5%
0 215
15.1%
1 176
12.3%
7 173
12.1%
5 171
12.0%
2 149
10.4%
8 86
 
6.0%
3 72
 
5.0%
9 62
 
4.3%
4 45
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1191
83.5%
Dash Punctuation 236
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 215
18.1%
1 176
14.8%
7 173
14.5%
5 171
14.4%
2 149
12.5%
8 86
 
7.2%
3 72
 
6.0%
9 62
 
5.2%
4 45
 
3.8%
6 42
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 236
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1427
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 236
16.5%
0 215
15.1%
1 176
12.3%
7 173
12.1%
5 171
12.0%
2 149
10.4%
8 86
 
6.0%
3 72
 
5.0%
9 62
 
4.3%
4 45
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1427
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 236
16.5%
0 215
15.1%
1 176
12.3%
7 173
12.1%
5 171
12.0%
2 149
10.4%
8 86
 
6.0%
3 72
 
5.0%
9 62
 
4.3%
4 45
 
3.2%

보육실수
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.9927007
Minimum3
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-15T11:01:36.384400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q14
median4
Q35
95-th percentile9
Maximum15
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.0561828
Coefficient of variation (CV)0.41183777
Kurtosis5.2727314
Mean4.9927007
Median Absolute Deviation (MAD)1
Skewness2.0236306
Sum684
Variance4.2278875
MonotonicityNot monotonic
2024-03-15T11:01:36.776741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
4 49
35.8%
5 32
23.4%
3 24
17.5%
6 9
 
6.6%
7 7
 
5.1%
8 6
 
4.4%
9 4
 
2.9%
10 3
 
2.2%
13 1
 
0.7%
11 1
 
0.7%
ValueCountFrequency (%)
3 24
17.5%
4 49
35.8%
5 32
23.4%
6 9
 
6.6%
7 7
 
5.1%
8 6
 
4.4%
9 4
 
2.9%
10 3
 
2.2%
11 1
 
0.7%
13 1
 
0.7%
ValueCountFrequency (%)
15 1
 
0.7%
13 1
 
0.7%
11 1
 
0.7%
10 3
 
2.2%
9 4
 
2.9%
8 6
 
4.4%
7 7
 
5.1%
6 9
 
6.6%
5 32
23.4%
4 49
35.8%

놀이터수
Categorical

Distinct4
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
79 
1
41 
2
13 
3
 
4

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 79
57.7%
1 41
29.9%
2 13
 
9.5%
3 4
 
2.9%

Length

2024-03-15T11:01:37.219713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T11:01:37.551926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 79
57.7%
1 41
29.9%
2 13
 
9.5%
3 4
 
2.9%

차량운영
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
운영
111 
미운영
26 

Length

Max length3
Median length2
Mean length2.189781
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영 111
81.0%
미운영 26
 
19.0%

Length

2024-03-15T11:01:37.935909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T11:01:38.252176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영 111
81.0%
미운영 26
 
19.0%

Interactions

2024-03-15T11:01:19.930812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:01:18.406087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:01:19.183139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:01:20.405418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:01:18.675520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:01:19.440849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:01:20.648226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:01:18.927162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:01:19.686875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T11:01:38.439133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
어린이집유형정원보육교직원현원보육실수놀이터수차량운영
어린이집유형1.0000.7350.6990.5710.5250.654
정원0.7351.0000.8200.9430.6530.164
보육교직원현원0.6990.8201.0000.8070.3810.077
보육실수0.5710.9430.8071.0000.6570.105
놀이터수0.5250.6530.3810.6571.0000.000
차량운영0.6540.1640.0770.1050.0001.000
2024-03-15T11:01:38.637979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
어린이집유형놀이터수차량운영
어린이집유형1.0000.3620.471
놀이터수0.3621.0000.000
차량운영0.4710.0001.000
2024-03-15T11:01:38.799935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정원보육교직원현원보육실수어린이집유형놀이터수차량운영
정원1.0000.7330.8200.4680.4740.158
보육교직원현원0.7331.0000.6620.3180.2510.052
보육실수0.8200.6621.0000.3290.4660.083
어린이집유형0.4680.3180.3291.0000.3620.471
놀이터수0.4740.2510.4660.3621.0000.000
차량운영0.1580.0520.0830.4710.0001.000

Missing values

2024-03-15T11:01:21.006426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T11:01:21.543749image/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

어린이집명시도명시군구명어린이집유형정원보육교직원현원주소전화번호팩스번호보육실수놀이터수차량운영
0EG아이숲어린이집부산광역시기장군민간3912부산광역시 기장군 정관읍 정관로 350 이지더원 3차 관리동051-728-0055<NA>50운영
1가동캐슬어린이집부산광역시기장군가정206부산광역시 기장군 정관읍 가동3로 19 이진캐스빌2차 104동 105호051-996-1002051-996-100230운영
2가온어린이집부산광역시기장군가정209부산광역시 기장군 정관읍 정관4로 24 동일스위트 1차 109-104051-728-5528<NA>40운영
3가화사랑어린이집부산광역시기장군민간3912부산광역시 기장군 정관읍 방곡로 39 가화정관타운 관리동051-723-5050051-724-950050운영
4가화숲어린이집부산광역시기장군민간3912부산광역시 기장군 정관읍 구연방곡로 120 가화만사성더테라스아파트051-728-0332<NA>40운영
5가화아이어린이집부산광역시기장군민간217부산광역시 기장군 이천10길 37 가화일광타워 101동 1층051-723-3700051-931-505030미운영
6가화행복어린이집부산광역시기장군민간217부산광역시 기장군 정관읍 구연방곡로 106 가화만사성더테라스2차051-728-7977051-728-797840운영
7고촌어린이집부산광역시기장군국공립338부산광역시 기장군 철마면 고촌로44번길 16 112호 고촌어린이집051-915-5000051-723-056541운영
8그린맘어린이집부산광역시기장군가정203부산광역시 기장군 정관읍 정관2로 9 이지더원2차 203-104051-721-0939051-721-093940운영
9그림나라어린이집부산광역시기장군민간8022부산광역시 기장군 기장읍 차성서로101번길 14051-722-4370051-722-437082운영
어린이집명시도명시군구명어린이집유형정원보육교직원현원주소전화번호팩스번호보육실수놀이터수차량운영
127한성어린이집부산광역시기장군사회복지법인7812부산광역시 기장군 정관읍 정관덕산1길 20051-728-7111070-8677-201051운영
128한솔어린이집부산광역시기장군사회복지법인10322부산광역시 기장군 기장읍 대청로45번길 6051-722-7488051-722-748071운영
129한수원 한빛어린이집부산광역시기장군직장21048부산광역시 기장군 장안읍 천산로 28 한빛아파트 2단지내051-727-3994051-727-3995151미운영
130한신어린이집부산광역시기장군가정196부산광역시 기장군 기장읍 차성로344번길 13 한신아파트 106동 104호051-723-0828051-723-082830운영
131한울어린이집부산광역시기장군가정208부산광역시 기장군 정관읍 정관4로 24 동일스위트 1차 113-105051-903-6988051-903-698840미운영
132해모로어린이집부산광역시기장군민간396부산광역시 기장군 정관읍 정관로 548 정관신도시한진해모로 관리동(정관면)051-727-7267051-727-726742운영
133햇님어린이집부산광역시기장군가정199부산광역시 기장군 기장읍 차성동로172번길 15 103-105 (부전타워)051-722-9969051-722-996940운영
134현대어린이집부산광역시기장군가정198부산광역시 기장군 기장읍 기장대로 563 106-107051-724-5659051-724-565940운영
135현진에버빌 어린이집부산광역시기장군가정207부산광역시 기장군 정관읍 정관2로 40 106-105(정관현진에버빌아파트)051-727-6226051-727-626040운영
136휴먼시아어린이집부산광역시기장군가정2010부산광역시 기장군 정관읍 구연방곡로 10 센트럴파크 107-104051-728-2002051-728-224240운영