Overview

Dataset statistics

Number of variables23
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.4 KiB
Average record size in memory198.5 B

Variable types

Categorical6
Numeric10
Text4
Boolean1
DateTime2

Dataset

Description전라남도 영암군 관내 어린이집 현황 (어린이집명, 어린이집 유형, 위치, 정원수, 전화번호, 통학차량운행여부 등)
Author전라남도 영암군
URLhttps://www.data.go.kr/data/15009906/fileData.do

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 (60.2%)Imbalance
어린이집코드 has unique valuesUnique
어린이집명 has unique valuesUnique
상세주소 has unique valuesUnique
어린이집전화번호 has unique valuesUnique
어린이집팩스번호 has unique valuesUnique
보육실 면적 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
인가일자 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:33:48.204349
Analysis finished2023-12-12 06:33:48.524920
Duration0.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
전라남도
38 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라남도 38
100.0%

Length

2023-12-12T15:33:48.589976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:33:48.690280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 38
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
영암군
38 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영암군 38
100.0%

Length

2023-12-12T15:33:48.785789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:33:48.881919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영암군 38
100.0%

어린이집코드
Real number (ℝ)

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.683 × 1010
Minimum4.683 × 1010
Maximum4.683 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T15:33:48.996567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.683 × 1010
5-th percentile4.683 × 1010
Q14.683 × 1010
median4.683 × 1010
Q34.683 × 1010
95-th percentile4.683 × 1010
Maximum4.683 × 1010
Range52
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation15.991819
Coefficient of variation (CV)3.4148663 × 10-10
Kurtosis-1.2337035
Mean4.683 × 1010
Median Absolute Deviation (MAD)12
Skewness0.30772091
Sum1.77954 × 1012
Variance255.73826
MonotonicityNot monotonic
2023-12-12T15:33:49.145023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
46830000045 1
 
2.6%
46830000048 1
 
2.6%
46830000024 1
 
2.6%
46830000005 1
 
2.6%
46830000049 1
 
2.6%
46830000004 1
 
2.6%
46830000021 1
 
2.6%
46830000016 1
 
2.6%
46830000034 1
 
2.6%
46830000019 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
46830000001 1
2.6%
46830000004 1
2.6%
46830000005 1
2.6%
46830000007 1
2.6%
46830000008 1
2.6%
46830000009 1
2.6%
46830000010 1
2.6%
46830000011 1
2.6%
46830000012 1
2.6%
46830000013 1
2.6%
ValueCountFrequency (%)
46830000053 1
2.6%
46830000052 1
2.6%
46830000051 1
2.6%
46830000050 1
2.6%
46830000049 1
2.6%
46830000048 1
2.6%
46830000047 1
2.6%
46830000046 1
2.6%
46830000045 1
2.6%
46830000043 1
2.6%

어린이집명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T15:33:49.373689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length7.7631579
Min length6

Characters and Unicode

Total characters295
Distinct characters86
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

Unique38 ?
Unique (%)100.0%

Sample

1st row공립금정어린이집
2nd row공립삼호아이숲어린이집
3rd row공립아이린어린이집
4th row공립아이조아어린이집
5th row공립에벤에셀어린이집
ValueCountFrequency (%)
어린이집 2
 
4.8%
공립금정어린이집 1
 
2.4%
영애어린이집 1
 
2.4%
황토어린이집 1
 
2.4%
신북교회어린이집 1
 
2.4%
썬대교어린이집 1
 
2.4%
아이스타어린이집 1
 
2.4%
영암바다마을 1
 
2.4%
해군어린이집 1
 
2.4%
영암원광어린이집 1
 
2.4%
Other values (31) 31
73.8%
2023-12-12T15:33:49.715092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 42
 
14.2%
린 39
 
13.2%
어 38
 
12.9%
집 38
 
12.9%
교 6
 
2.0%
삼 6
 
2.0%
공 5
 
1.7%
암 5
 
1.7%
립 5
 
1.7%
아 5
 
1.7%
Other values (76) 106
35.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 291
98.6%
Space Separator 4
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 42
14.4%
린 39
 
13.4%
어 38
 
13.1%
집 38
 
13.1%
교 6
 
2.1%
삼 6
 
2.1%
공 5
 
1.7%
암 5
 
1.7%
립 5
 
1.7%
아 5
 
1.7%
Other values (75) 102
35.1%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 291
98.6%
Common 4
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 42
14.4%
린 39
 
13.4%
어 38
 
13.1%
집 38
 
13.1%
교 6
 
2.1%
삼 6
 
2.1%
공 5
 
1.7%
암 5
 
1.7%
립 5
 
1.7%
아 5
 
1.7%
Other values (75) 102
35.1%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 291
98.6%
ASCII 4
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 42
14.4%
린 39
 
13.4%
어 38
 
13.1%
집 38
 
13.1%
교 6
 
2.1%
삼 6
 
2.1%
공 5
 
1.7%
암 5
 
1.7%
립 5
 
1.7%
아 5
 
1.7%
Other values (75) 102
35.1%
ASCII
ValueCountFrequency (%)
4
100.0%

어린이집유형구분
Categorical

Distinct6
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size436.0 B
사회복지법인
14 
민간
6 
가정
6 
국공립
5 
법인·단체
4 

Length

Max length6
Median length5
Mean length3.9210526
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사회복지법인 14
36.8%
민간 6
15.8%
가정 6
15.8%
국공립 5
 
13.2%
법인·단체 4
 
10.5%
직장 3
 
7.9%

Length

2023-12-12T15:33:49.843142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:33:49.968733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사회복지법인 14
36.8%
민간 6
15.8%
가정 6
15.8%
국공립 5
 
13.2%
법인·단체 4
 
10.5%
직장 3
 
7.9%

운영현황
Boolean

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size170.0 B
True
38 
ValueCountFrequency (%)
True 38
100.0%
2023-12-12T15:33:50.062770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

우편번호
Real number (ℝ)

Distinct23
Distinct (%)60.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57681.263
Minimum52675
Maximum58465
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T15:33:50.171092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52675
5-th percentile52680
Q158410.25
median58439
Q358455
95-th percentile58459.45
Maximum58465
Range5790
Interquartile range (IQR)44.75

Descriptive statistics

Standard deviation1971.943
Coefficient of variation (CV)0.034186891
Kurtosis3.3261739
Mean57681.263
Median Absolute Deviation (MAD)19
Skewness-2.2699724
Sum2191888
Variance3888559.4
MonotonicityNot monotonic
2023-12-12T15:33:50.274855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
58449 3
 
7.9%
58401 3
 
7.9%
58458 3
 
7.9%
58459 3
 
7.9%
58455 3
 
7.9%
52689 2
 
5.3%
58414 2
 
5.3%
58429 2
 
5.3%
58439 2
 
5.3%
52680 2
 
5.3%
Other values (13) 13
34.2%
ValueCountFrequency (%)
52675 1
 
2.6%
52680 2
5.3%
52689 2
5.3%
58401 3
7.9%
58405 1
 
2.6%
58409 1
 
2.6%
58414 2
5.3%
58417 1
 
2.6%
58420 1
 
2.6%
58427 1
 
2.6%
ValueCountFrequency (%)
58465 1
 
2.6%
58462 1
 
2.6%
58459 3
7.9%
58458 3
7.9%
58457 1
 
2.6%
58455 3
7.9%
58454 1
 
2.6%
58450 1
 
2.6%
58449 3
7.9%
58445 1
 
2.6%

상세주소
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T15:33:50.524710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length39
Mean length25.552632
Min length19

Characters and Unicode

Total characters971
Distinct characters101
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st row전라남도 영암군 금정면 용두로 11-21
2nd row전라남도 영암군 삼호읍 대불주거6로 16
3rd row전라남도 영암군 삼호읍 삼호중앙로 214,용앙휴먼시아 1차
4th row전라남도 영암군 삼호읍 삼호중앙로 222 (영암용앙2휴먼시아)
5th row전라남도 영암군 삼호읍 이라니길 30
ValueCountFrequency (%)
전라남도 38
18.3%
영암군 38
18.3%
삼호읍 22
 
10.6%
영암읍 6
 
2.9%
삼호중앙로 5
 
2.4%
대불주거로 4
 
1.9%
모밀항길 3
 
1.4%
30 2
 
1.0%
신항로 2
 
1.0%
39-18 2
 
1.0%
Other values (79) 86
41.3%
2023-12-12T15:33:50.973411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
170
 
17.5%
1 48
 
4.9%
영 47
 
4.8%
암 46
 
4.7%
남 41
 
4.2%
도 39
 
4.0%
군 39
 
4.0%
라 39
 
4.0%
전 38
 
3.9%
호 33
 
3.4%
Other values (91) 431
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 604
62.2%
Space Separator 170
 
17.5%
Decimal Number 159
 
16.4%
Dash Punctuation 18
 
1.9%
Other Punctuation 10
 
1.0%
Open Punctuation 5
 
0.5%
Close Punctuation 5
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 47
 
7.8%
암 46
 
7.6%
남 41
 
6.8%
도 39
 
6.5%
군 39
 
6.5%
라 39
 
6.5%
전 38
 
6.3%
호 33
 
5.5%
읍 28
 
4.6%
로 28
 
4.6%
Other values (76) 226
37.4%
Decimal Number
ValueCountFrequency (%)
1 48
30.2%
2 27
17.0%
0 21
13.2%
3 18
 
11.3%
6 15
 
9.4%
8 8
 
5.0%
9 7
 
4.4%
7 6
 
3.8%
5 6
 
3.8%
4 3
 
1.9%
Space Separator
ValueCountFrequency (%)
170
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 604
62.2%
Common 367
37.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 47
 
7.8%
암 46
 
7.6%
남 41
 
6.8%
도 39
 
6.5%
군 39
 
6.5%
라 39
 
6.5%
전 38
 
6.3%
호 33
 
5.5%
읍 28
 
4.6%
로 28
 
4.6%
Other values (76) 226
37.4%
Common
ValueCountFrequency (%)
170
46.3%
1 48
 
13.1%
2 27
 
7.4%
0 21
 
5.7%
- 18
 
4.9%
3 18
 
4.9%
6 15
 
4.1%
, 10
 
2.7%
8 8
 
2.2%
9 7
 
1.9%
Other values (5) 25
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 604
62.2%
ASCII 367
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
170
46.3%
1 48
 
13.1%
2 27
 
7.4%
0 21
 
5.7%
- 18
 
4.9%
3 18
 
4.9%
6 15
 
4.1%
, 10
 
2.7%
8 8
 
2.2%
9 7
 
1.9%
Other values (5) 25
 
6.8%
Hangul
ValueCountFrequency (%)
영 47
 
7.8%
암 46
 
7.6%
남 41
 
6.8%
도 39
 
6.5%
군 39
 
6.5%
라 39
 
6.5%
전 38
 
6.3%
호 33
 
5.5%
읍 28
 
4.6%
로 28
 
4.6%
Other values (76) 226
37.4%

어린이집전화번호
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T15:33:51.309495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters456
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

Unique38 ?
Unique (%)100.0%

Sample

1st row061-471-4513
2nd row061-462-1230
3rd row061-462-1805
4th row061-464-1235
5th row061-462-4700
ValueCountFrequency (%)
061-471-4513 1
 
2.6%
061-471-0071 1
 
2.6%
061-471-0471 1
 
2.6%
061-471-6004 1
 
2.6%
061-461-1533 1
 
2.6%
061-462-0975 1
 
2.6%
061-464-0027 1
 
2.6%
061-473-2354 1
 
2.6%
061-473-3760 1
 
2.6%
061-462-0111 1
 
2.6%
Other values (28) 28
73.7%
2023-12-12T15:33:51.789433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 76
16.7%
0 74
16.2%
1 68
14.9%
6 67
14.7%
4 57
12.5%
3 31
6.8%
7 30
 
6.6%
2 30
 
6.6%
5 13
 
2.9%
9 6
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 380
83.3%
Dash Punctuation 76
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 74
19.5%
1 68
17.9%
6 67
17.6%
4 57
15.0%
3 31
8.2%
7 30
7.9%
2 30
7.9%
5 13
 
3.4%
9 6
 
1.6%
8 4
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 456
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 76
16.7%
0 74
16.2%
1 68
14.9%
6 67
14.7%
4 57
12.5%
3 31
6.8%
7 30
 
6.6%
2 30
 
6.6%
5 13
 
2.9%
9 6
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 456
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 76
16.7%
0 74
16.2%
1 68
14.9%
6 67
14.7%
4 57
12.5%
3 31
6.8%
7 30
 
6.6%
2 30
 
6.6%
5 13
 
2.9%
9 6
 
1.3%

어린이집팩스번호
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T15:33:52.079080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.736842
Min length1

Characters and Unicode

Total characters446
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

Unique38 ?
Unique (%)100.0%

Sample

1st row061-471-4513
2nd row061-462-1235
3rd row061-464-1805
4th row061-464-1232
5th row061-462-5902
ValueCountFrequency (%)
061-471-4513 1
 
2.6%
061-471-0071 1
 
2.6%
061-471-2447 1
 
2.6%
061-471-6007 1
 
2.6%
061-461-1534 1
 
2.6%
061-462-0975 1
 
2.6%
061-464-0028 1
 
2.6%
061-472-1955 1
 
2.6%
061-471-3760 1
 
2.6%
061-462-0111 1
 
2.6%
Other values (28) 28
73.7%
2023-12-12T15:33:52.527138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 75
16.8%
0 68
15.2%
6 68
15.2%
1 68
15.2%
4 53
11.9%
2 31
7.0%
7 26
 
5.8%
3 25
 
5.6%
5 16
 
3.6%
9 9
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 371
83.2%
Dash Punctuation 75
 
16.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 68
18.3%
6 68
18.3%
1 68
18.3%
4 53
14.3%
2 31
8.4%
7 26
 
7.0%
3 25
 
6.7%
5 16
 
4.3%
9 9
 
2.4%
8 7
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 75
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 446
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 75
16.8%
0 68
15.2%
6 68
15.2%
1 68
15.2%
4 53
11.9%
2 31
7.0%
7 26
 
5.8%
3 25
 
5.6%
5 16
 
3.6%
9 9
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 446
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 75
16.8%
0 68
15.2%
6 68
15.2%
1 68
15.2%
4 53
11.9%
2 31
7.0%
7 26
 
5.8%
3 25
 
5.6%
5 16
 
3.6%
9 9
 
2.0%

보육실수
Real number (ℝ)

Distinct9
Distinct (%)23.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.1052632
Minimum3
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T15:33:52.658572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median5
Q35.75
95-th percentile9.3
Maximum12
Range9
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation2.2152966
Coefficient of variation (CV)0.43392408
Kurtosis2.1537995
Mean5.1052632
Median Absolute Deviation (MAD)1.5
Skewness1.450128
Sum194
Variance4.9075391
MonotonicityNot monotonic
2023-12-12T15:33:52.770453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
5 12
31.6%
3 11
28.9%
4 5
13.2%
7 3
 
7.9%
6 2
 
5.3%
8 2
 
5.3%
12 1
 
2.6%
11 1
 
2.6%
9 1
 
2.6%
ValueCountFrequency (%)
3 11
28.9%
4 5
13.2%
5 12
31.6%
6 2
 
5.3%
7 3
 
7.9%
8 2
 
5.3%
9 1
 
2.6%
11 1
 
2.6%
12 1
 
2.6%
ValueCountFrequency (%)
12 1
 
2.6%
11 1
 
2.6%
9 1
 
2.6%
8 2
 
5.3%
7 3
 
7.9%
6 2
 
5.3%
5 12
31.6%
4 5
13.2%
3 11
28.9%

보육실 면적
Real number (ℝ)

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean227.42105
Minimum45
Maximum718
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T15:33:52.881625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45
5-th percentile51.95
Q1127.25
median211
Q3305.25
95-th percentile468.45
Maximum718
Range673
Interquartile range (IQR)178

Descriptive statistics

Standard deviation148.93235
Coefficient of variation (CV)0.65487495
Kurtosis1.9787582
Mean227.42105
Median Absolute Deviation (MAD)92
Skewness1.1825697
Sum8642
Variance22180.845
MonotonicityNot monotonic
2023-12-12T15:33:53.043809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
57 1
 
2.6%
158 1
 
2.6%
367 1
 
2.6%
60 1
 
2.6%
195 1
 
2.6%
449 1
 
2.6%
221 1
 
2.6%
358 1
 
2.6%
718 1
 
2.6%
224 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
45 1
2.6%
46 1
2.6%
53 1
2.6%
57 1
2.6%
59 1
2.6%
60 1
2.6%
66 1
2.6%
77 1
2.6%
110 1
2.6%
126 1
2.6%
ValueCountFrequency (%)
718 1
2.6%
539 1
2.6%
456 1
2.6%
449 1
2.6%
367 1
2.6%
360 1
2.6%
358 1
2.6%
339 1
2.6%
330 1
2.6%
310 1
2.6%

놀이터수
Categorical

Distinct4
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
1
24 
0
12 
3
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)5.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 24
63.2%
0 12
31.6%
3 1
 
2.6%
2 1
 
2.6%

Length

2023-12-12T15:33:53.223547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:33:53.333918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 24
63.2%
0 12
31.6%
3 1
 
2.6%
2 1
 
2.6%

CCTV설치수
Real number (ℝ)

Distinct15
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8157895
Minimum3
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T15:33:53.454789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q14.5
median8
Q311.75
95-th percentile23
Maximum25
Range22
Interquartile range (IQR)7.25

Descriptive statistics

Standard deviation6.1418162
Coefficient of variation (CV)0.62570782
Kurtosis0.52558649
Mean9.8157895
Median Absolute Deviation (MAD)4
Skewness1.1499221
Sum373
Variance37.721906
MonotonicityNot monotonic
2023-12-12T15:33:53.593777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
4 7
18.4%
8 5
13.2%
7 4
10.5%
10 4
10.5%
9 3
7.9%
3 3
7.9%
16 2
 
5.3%
13 2
 
5.3%
23 2
 
5.3%
22 1
 
2.6%
Other values (5) 5
13.2%
ValueCountFrequency (%)
3 3
7.9%
4 7
18.4%
6 1
 
2.6%
7 4
10.5%
8 5
13.2%
9 3
7.9%
10 4
10.5%
11 1
 
2.6%
12 1
 
2.6%
13 2
 
5.3%
ValueCountFrequency (%)
25 1
 
2.6%
23 2
5.3%
22 1
 
2.6%
21 1
 
2.6%
16 2
5.3%
13 2
5.3%
12 1
 
2.6%
11 1
 
2.6%
10 4
10.5%
9 3
7.9%

보육교직원수
Real number (ℝ)

Distinct15
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.0263158
Minimum3
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T15:33:53.727427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q16
median8
Q311
95-th percentile18.15
Maximum22
Range19
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.5529132
Coefficient of variation (CV)0.50440438
Kurtosis0.96192241
Mean9.0263158
Median Absolute Deviation (MAD)2.5
Skewness1.0865346
Sum343
Variance20.729018
MonotonicityNot monotonic
2023-12-12T15:33:53.857115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
8 7
18.4%
7 4
10.5%
9 4
10.5%
14 3
7.9%
3 3
7.9%
6 3
7.9%
5 3
7.9%
11 3
7.9%
4 2
 
5.3%
19 1
 
2.6%
Other values (5) 5
13.2%
ValueCountFrequency (%)
3 3
7.9%
4 2
 
5.3%
5 3
7.9%
6 3
7.9%
7 4
10.5%
8 7
18.4%
9 4
10.5%
10 1
 
2.6%
11 3
7.9%
12 1
 
2.6%
ValueCountFrequency (%)
22 1
 
2.6%
19 1
 
2.6%
18 1
 
2.6%
17 1
 
2.6%
14 3
7.9%
12 1
 
2.6%
11 3
7.9%
10 1
 
2.6%
9 4
10.5%
8 7
18.4%

정원수
Real number (ℝ)

Distinct30
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64
Minimum16
Maximum162
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T15:33:54.007321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile17.7
Q131
median55
Q391.25
95-th percentile144.3
Maximum162
Range146
Interquartile range (IQR)60.25

Descriptive statistics

Standard deviation40.82527
Coefficient of variation (CV)0.63789485
Kurtosis-0.23355298
Mean64
Median Absolute Deviation (MAD)32.5
Skewness0.75480895
Sum2432
Variance1666.7027
MonotonicityNot monotonic
2023-12-12T15:33:54.477389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
19 2
 
5.3%
79 2
 
5.3%
55 2
 
5.3%
18 2
 
5.3%
99 2
 
5.3%
45 2
 
5.3%
16 2
 
5.3%
34 2
 
5.3%
144 1
 
2.6%
49 1
 
2.6%
Other values (20) 20
52.6%
ValueCountFrequency (%)
16 2
5.3%
18 2
5.3%
19 2
5.3%
20 1
2.6%
22 1
2.6%
23 1
2.6%
30 1
2.6%
34 2
5.3%
36 1
2.6%
45 2
5.3%
ValueCountFrequency (%)
162 1
2.6%
146 1
2.6%
144 1
2.6%
139 1
2.6%
111 1
2.6%
105 1
2.6%
99 2
5.3%
95 1
2.6%
92 1
2.6%
89 1
2.6%

현원수
Real number (ℝ)

Distinct30
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.078947
Minimum4
Maximum108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T15:33:54.619291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6
Q118.25
median30.5
Q343.25
95-th percentile87.45
Maximum108
Range104
Interquartile range (IQR)25

Descriptive statistics

Standard deviation25.036602
Coefficient of variation (CV)0.71372159
Kurtosis1.0513366
Mean35.078947
Median Absolute Deviation (MAD)13
Skewness1.157623
Sum1333
Variance626.83144
MonotonicityNot monotonic
2023-12-12T15:33:54.746672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
22 2
 
5.3%
9 2
 
5.3%
63 2
 
5.3%
35 2
 
5.3%
20 2
 
5.3%
38 2
 
5.3%
6 2
 
5.3%
41 2
 
5.3%
50 1
 
2.6%
15 1
 
2.6%
Other values (20) 20
52.6%
ValueCountFrequency (%)
4 1
2.6%
6 2
5.3%
9 2
5.3%
11 1
2.6%
12 1
2.6%
14 1
2.6%
15 1
2.6%
18 1
2.6%
19 1
2.6%
20 2
5.3%
ValueCountFrequency (%)
108 1
2.6%
90 1
2.6%
87 1
2.6%
74 1
2.6%
63 2
5.3%
58 1
2.6%
55 1
2.6%
50 1
2.6%
44 1
2.6%
41 2
5.3%

위도
Real number (ℝ)

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.770507
Minimum34.698953
Maximum34.883754
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T15:33:54.883432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.698953
5-th percentile34.727098
Q134.746279
median34.752656
Q334.796071
95-th percentile34.862367
Maximum34.883754
Range0.184801
Interquartile range (IQR)0.04979205

Descriptive statistics

Standard deviation0.0409236
Coefficient of variation (CV)0.001176963
Kurtosis1.1478911
Mean34.770507
Median Absolute Deviation (MAD)0.008652
Skewness1.2185255
Sum1321.2793
Variance0.001674741
MonotonicityNot monotonic
2023-12-12T15:33:55.041830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
34.862012 1
 
2.6%
34.745496 1
 
2.6%
34.748559 1
 
2.6%
34.752186 1
 
2.6%
34.762063 1
 
2.6%
34.796975 1
 
2.6%
34.799127 1
 
2.6%
34.793033 1
 
2.6%
34.744723 1
 
2.6%
34.763225 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
34.698953 1
2.6%
34.726064 1
2.6%
34.727281 1
2.6%
34.743488 1
2.6%
34.744519 1
2.6%
34.744723 1
2.6%
34.744905 1
2.6%
34.744989 1
2.6%
34.745496 1
2.6%
34.745971 1
2.6%
ValueCountFrequency (%)
34.883754 1
2.6%
34.864379 1
2.6%
34.862012 1
2.6%
34.842957 1
2.6%
34.819827 1
2.6%
34.805248 1
2.6%
34.799127 1
2.6%
34.796975 1
2.6%
34.796738 1
2.6%
34.7963004 1
2.6%

경도
Real number (ℝ)

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.53348
Minimum126.33775
Maximum126.7485
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T15:33:55.209693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.33775
5-th percentile126.37887
Q1126.45898
median126.46907
Q3126.67376
95-th percentile126.70171
Maximum126.7485
Range0.410743
Interquartile range (IQR)0.21477825

Descriptive statistics

Standard deviation0.12120881
Coefficient of variation (CV)0.00095791888
Kurtosis-1.2964652
Mean126.53348
Median Absolute Deviation (MAD)0.0812725
Skewness0.3676163
Sum4808.2722
Variance0.014691575
MonotonicityNot monotonic
2023-12-12T15:33:55.361248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
126.748495 1
 
2.6%
126.464257 1
 
2.6%
126.375987 1
 
2.6%
126.390026 1
 
2.6%
126.388559 1
 
2.6%
126.696449 1
 
2.6%
126.693857 1
 
2.6%
126.686974 1
 
2.6%
126.468891 1
 
2.6%
126.634126 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
126.337752 1
2.6%
126.375987 1
2.6%
126.379384 1
2.6%
126.387043 1
2.6%
126.388559 1
2.6%
126.390026 1
2.6%
126.458462 1
2.6%
126.458591 1
2.6%
126.458689 1
2.6%
126.458867 1
2.6%
ValueCountFrequency (%)
126.748495 1
2.6%
126.713 1
2.6%
126.699712 1
2.6%
126.699592 1
2.6%
126.699527 1
2.6%
126.698972 1
2.6%
126.696449 1
2.6%
126.693857 1
2.6%
126.691114 1
2.6%
126.686974 1
2.6%

통학차량운영여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
운영
35 
미운영
 
3

Length

Max length3
Median length2
Mean length2.0789474
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영 35
92.1%
미운영 3
 
7.9%

Length

2023-12-12T15:33:55.531465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:33:55.659303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영 35
92.1%
미운영 3
 
7.9%

인가일자
Date

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
Minimum1970-01-02 00:00:00
Maximum2021-04-01 00:00:00
2023-12-12T15:33:55.765867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:33:55.912837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

제공서비스
Categorical

Distinct4
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
일반
27 
시간연장형
8 
영아전담
 
2
장애아전문
 
1

Length

Max length5
Median length2
Mean length2.8157895
Min length2

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
일반 27
71.1%
시간연장형 8
 
21.1%
영아전담 2
 
5.3%
장애아전문 1
 
2.6%

Length

2023-12-12T15:33:56.105824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:33:56.256000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 27
71.1%
시간연장형 8
 
21.1%
영아전담 2
 
5.3%
장애아전문 1
 
2.6%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
Minimum2021-04-07 00:00:00
Maximum2021-04-07 00:00:00
2023-12-12T15:33:56.371611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:33:56.490398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

시도명시군구명어린이집코드어린이집명어린이집유형구분운영현황우편번호상세주소어린이집전화번호어린이집팩스번호보육실수보육실 면적놀이터수CCTV설치수보육교직원수정원수현원수위도경도통학차량운영여부인가일자제공서비스데이터기준일자
0전라남도영암군46830000045공립금정어린이집국공립Y58405전라남도 영암군 금정면 용두로 11-21061-471-4513061-471-4513357144201134.862012126.748495운영2013-01-02일반2021-04-07
1전라남도영암군46830000052공립삼호아이숲어린이집국공립Y58455전라남도 영암군 삼호읍 대불주거6로 16061-462-1230061-462-1235621011614666334.7963126.713운영2019-11-27일반2021-04-07
2전라남도영암군46830000051공립아이린어린이집국공립Y58401전라남도 영암군 삼호읍 삼호중앙로 214,용앙휴먼시아 1차061-462-1805061-464-18055310078342634.744905126.475466운영1994-03-04시간연장형2021-04-07
3전라남도영암군46830000043공립아이조아어린이집국공립Y58458전라남도 영암군 삼호읍 삼호중앙로 222 (영암용앙2휴먼시아)061-464-1235061-464-12323204048233034.744519126.473888운영2011-02-24시간연장형2021-04-07
4전라남도영암군46830000053공립에벤에셀어린이집국공립Y58454전라남도 영암군 삼호읍 이라니길 30061-462-4700061-462-5902727111014614134.747999126.466384운영2021-04-01일반2021-04-07
5전라남도영암군46830000031나란타어린이집민간Y52689전라남도 영암군 영암읍 역몰길 10-1 역몰길 12061-473-5736061-471-033355309834634.805248126.698972운영2002-07-24일반2021-04-07
6전라남도영암군46830000018다솜어린이집가정Y58414전라남도 영암군 삼호읍 대불주거로 160, 106동 103호(용앙리, 금호타운)061-462-2287061-462-22873165033162534.753791126.458867운영2002-12-17일반2021-04-07
7전라남도영암군46830000038대불나래어린이집직장Y58455전라남도 영암군 삼호읍 대불주거3로 75061-463-0191061-463-0168545122679934.753359126.458591운영2003-11-01일반2021-04-07
8전라남도영암군46830000050도포 한마음 어린이집사회복지법인Y58457전라남도 영암군 도포면 마한로 791061-471-0027061-471-102752481107993134.842957126.633393운영2016-06-16일반2021-04-07
9전라남도영암군46830000009독천교회낭주어린이집사회복지법인Y58429전라남도 영암군 학산면 영산로 28-13061-472-4205061-472-42015330187744134.727281126.568172운영1997-12-19일반2021-04-07
시도명시군구명어린이집코드어린이집명어린이집유형구분운영현황우편번호상세주소어린이집전화번호어린이집팩스번호보육실수보육실 면적놀이터수CCTV설치수보육교직원수정원수현원수위도경도통학차량운영여부인가일자제공서비스데이터기준일자
28전라남도영암군46830000034예원어린이집민간Y58459전라남도 영암군 삼호읍 삼호중앙로 42061-462-4200061-462-32017718125111464434.744723126.468891운영2003-03-27시간연장형2021-04-07
29전라남도영암군46830000048오감키즈어린이집가정Y58459전라남도 영암군 삼호읍 삼호중앙로 129, 203-109(퀸스빌아파트)061-462-0111061-462-01113158034181534.745496126.464257운영2016-01-29일반2021-04-07
30전라남도영암군46830000019왕인어린이집사회복지법인Y58434전라남도 영암군 군서면 왕인로 518-13061-471-0003061-471-00034224168842234.763225126.634126운영1996-06-29일반2021-04-07
31전라남도영암군46830000035우리교회 어린이집민간Y58450전라남도 영암군 삼호읍 모밀항길 82-13061-462-1904061-462-1906522611111995034.748964126.387043운영2002-11-18시간연장형2021-04-07
32전라남도영암군46830000012월출어린이집사회복지법인Y58409전라남도 영암군 덕진면 새터신정길 58061-471-0016050-4396-559452911811926334.819827126.699527운영1993-03-04일반2021-04-07
33전라남도영암군46830000020은혜어린이집민간Y58429전라남도 영암군 삼호읍 대불주거로 102061-462-1040061-462-10603110077302134.750462126.462096운영2003-12-29영아전담2021-04-07
34전라남도영암군46830000014일오삼어린이집사회복지법인Y52689전라남도 영암군 삼호읍 삼호중앙로 66061-463-0153061-464-0153413411312493834.743488126.458462운영2005-06-20영아전담2021-04-07
35전라남도영암군46830000023천사나라어린이집사회복지법인Y58455전라남도 영암군 삼호읍 대불주거2로3길 22061-462-1004061-462-90049360121171448734.754539126.460753운영1997-02-21일반2021-04-07
36전라남도영암군46830000015황토어린이집사회복지법인Y52680전라남도 영암군 영암읍 남문밖길 3-21061-471-0471061-471-244783391129453534.795382126.699592운영2004-10-28일반2021-04-07
37전라남도영암군46830000046희망가어린이집민간Y58449전라남도 영암군 삼호읍 모밀항길 39-18, 희망가아파트 복리동061-463-0033061-463-003437704622634.747202126.337752운영2013-01-29일반2021-04-07