Overview

Dataset statistics

Number of variables15
Number of observations24
Missing cells24
Missing cells (%)6.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory130.5 B

Variable types

Text5
Categorical5
Numeric4
Boolean1

Dataset

Description어린이집명, 유형, 정원수 등
Author전라남도 완도군
URLhttps://www.data.go.kr/data/15010796/fileData.do

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 2 other fieldsHigh correlation
보육교직원수 is highly overall correlated with 정원수 and 2 other fieldsHigh correlation
보육실수 is highly overall correlated with 정원수 and 3 other fieldsHigh correlation
CCTV설치수 is highly overall correlated with 정원수 and 2 other fieldsHigh correlation
통학차량운영여부 is highly overall correlated with 보육실수High correlation
통학차량운영여부 is highly imbalanced (58.6%)Imbalance
어린이집팩스번호 has 1 (4.2%) missing valuesMissing
홈페이지주소 has 23 (95.8%) missing valuesMissing
어린이집명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
어린이집전화번호 has unique valuesUnique
보육실수 has 1 (4.2%) zerosZeros

Reproduction

Analysis started2023-12-12 14:00:23.541327
Analysis finished2023-12-12 14:00:26.397637
Duration2.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

어린이집명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T23:00:26.557190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length8
Mean length7.25
Min length6

Characters and Unicode

Total characters174
Distinct characters47
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

Unique24 ?
Unique (%)100.0%

Sample

1st row고금중앙어린이집
2nd row금당예꼬어린이집
3rd row금일제일어린이집
4th row노화소망어린이집
5th row보길성신어린이집
ValueCountFrequency (%)
어린이집 2
 
7.7%
고금중앙어린이집 1
 
3.8%
옥토어린이집 1
 
3.8%
한빛어린이집 1
 
3.8%
청해어린이집분원넙도어린이집 1
 
3.8%
청해어린이집 1
 
3.8%
청산 1
 
3.8%
장보고어린이집 1
 
3.8%
우리어린이집 1
 
3.8%
우리아이어린이집 1
 
3.8%
Other values (15) 15
57.7%
2023-12-12T23:00:26.944012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 26
14.9%
어 25
14.4%
린 25
14.4%
집 25
14.4%
도 4
 
2.3%
일 4
 
2.3%
완 3
 
1.7%
제 3
 
1.7%
보 3
 
1.7%
청 3
 
1.7%
Other values (37) 53
30.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 172
98.9%
Space Separator 2
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 26
15.1%
어 25
14.5%
린 25
14.5%
집 25
14.5%
도 4
 
2.3%
일 4
 
2.3%
완 3
 
1.7%
제 3
 
1.7%
보 3
 
1.7%
청 3
 
1.7%
Other values (36) 51
29.7%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 172
98.9%
Common 2
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 26
15.1%
어 25
14.5%
린 25
14.5%
집 25
14.5%
도 4
 
2.3%
일 4
 
2.3%
완 3
 
1.7%
제 3
 
1.7%
보 3
 
1.7%
청 3
 
1.7%
Other values (36) 51
29.7%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 172
98.9%
ASCII 2
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 26
15.1%
어 25
14.5%
린 25
14.5%
집 25
14.5%
도 4
 
2.3%
일 4
 
2.3%
완 3
 
1.7%
제 3
 
1.7%
보 3
 
1.7%
청 3
 
1.7%
Other values (36) 51
29.7%
ASCII
ValueCountFrequency (%)
2
100.0%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
전라남도
24 

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 24
100.0%

Length

2023-12-12T23:00:27.090139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:00:27.182963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 24
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
완도군
24 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
완도군 24
100.0%

Length

2023-12-12T23:00:27.270870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:00:27.365776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
완도군 24
100.0%

어린이집유형구분
Categorical

Distinct5
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
사회복지법인
6 
국공립
5 
법인·단체
5 
민간
5 
가정
3 

Length

Max length6
Median length5
Mean length3.8333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사회복지법인
2nd row국공립
3rd row법인·단체
4th row사회복지법인
5th row법인·단체

Common Values

ValueCountFrequency (%)
사회복지법인 6
25.0%
국공립 5
20.8%
법인·단체 5
20.8%
민간 5
20.8%
가정 3
12.5%

Length

2023-12-12T23:00:27.469190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:00:27.593528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사회복지법인 6
25.0%
국공립 5
20.8%
법인·단체 5
20.8%
민간 5
20.8%
가정 3
12.5%

정원수
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.791667
Minimum9
Maximum137
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T23:00:27.725241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile15.75
Q133
median39
Q374.5
95-th percentile97.35
Maximum137
Range128
Interquartile range (IQR)41.5

Descriptive statistics

Standard deviation31.683186
Coefficient of variation (CV)0.61174293
Kurtosis0.58169573
Mean51.791667
Median Absolute Deviation (MAD)19
Skewness0.91677692
Sum1243
Variance1003.8243
MonotonicityNot monotonic
2023-12-12T23:00:27.858880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
39 7
29.2%
20 3
12.5%
88 1
 
4.2%
45 1
 
4.2%
9 1
 
4.2%
73 1
 
4.2%
36 1
 
4.2%
67 1
 
4.2%
99 1
 
4.2%
137 1
 
4.2%
Other values (6) 6
25.0%
ValueCountFrequency (%)
9 1
 
4.2%
15 1
 
4.2%
20 3
12.5%
24 1
 
4.2%
36 1
 
4.2%
39 7
29.2%
45 1
 
4.2%
67 1
 
4.2%
69 1
 
4.2%
73 1
 
4.2%
ValueCountFrequency (%)
137 1
4.2%
99 1
4.2%
88 1
4.2%
85 1
4.2%
84 1
4.2%
79 1
4.2%
73 1
4.2%
69 1
4.2%
67 1
4.2%
45 1
4.2%

보육교직원수
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.2916667
Minimum2
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T23:00:27.986190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4.15
Q16.75
median7.5
Q311
95-th percentile16.85
Maximum23
Range21
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation4.7500953
Coefficient of variation (CV)0.51122102
Kurtosis1.758894
Mean9.2916667
Median Absolute Deviation (MAD)2.5
Skewness1.214473
Sum223
Variance22.563406
MonotonicityNot monotonic
2023-12-12T23:00:28.099826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
7 6
25.0%
10 3
12.5%
5 2
 
8.3%
11 2
 
8.3%
6 2
 
8.3%
15 1
 
4.2%
13 1
 
4.2%
17 1
 
4.2%
4 1
 
4.2%
23 1
 
4.2%
Other values (4) 4
16.7%
ValueCountFrequency (%)
2 1
 
4.2%
4 1
 
4.2%
5 2
 
8.3%
6 2
 
8.3%
7 6
25.0%
8 1
 
4.2%
9 1
 
4.2%
10 3
12.5%
11 2
 
8.3%
13 1
 
4.2%
ValueCountFrequency (%)
23 1
 
4.2%
17 1
 
4.2%
16 1
 
4.2%
15 1
 
4.2%
13 1
 
4.2%
11 2
 
8.3%
10 3
12.5%
9 1
 
4.2%
8 1
 
4.2%
7 6
25.0%

소재지도로명주소
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T23:00:28.323427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length27
Mean length24.583333
Min length19

Characters and Unicode

Total characters590
Distinct characters63
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row전라남도 완도군 고금면 고금동로 17-28
2nd row전라남도 완도군 금당면 금당로113번길 14-6
3rd row전라남도 완도군 금일읍 도장길 18-2
4th row전라남도 완도군 노화읍 이목25번길 23-14
5th row전라남도 완도군 보길면 보길월송길 43-1
ValueCountFrequency (%)
전라남도 24
19.5%
완도군 24
19.5%
완도읍 11
 
8.9%
노화읍 3
 
2.4%
청해진남로23번길 2
 
1.6%
보길면 2
 
1.6%
개포로145번길 2
 
1.6%
고금동로 2
 
1.6%
고금면 2
 
1.6%
42-1 1
 
0.8%
Other values (50) 50
40.7%
2023-12-12T23:00:28.725490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
99
16.8%
도 61
 
10.3%
완 35
 
5.9%
1 28
 
4.7%
남 27
 
4.6%
전 24
 
4.1%
라 24
 
4.1%
군 24
 
4.1%
4 19
 
3.2%
- 18
 
3.1%
Other values (53) 231
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 360
61.0%
Decimal Number 113
 
19.2%
Space Separator 99
 
16.8%
Dash Punctuation 18
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 61
16.9%
완 35
 
9.7%
남 27
 
7.5%
전 24
 
6.7%
라 24
 
6.7%
군 24
 
6.7%
길 18
 
5.0%
로 16
 
4.4%
읍 15
 
4.2%
번 10
 
2.8%
Other values (41) 106
29.4%
Decimal Number
ValueCountFrequency (%)
1 28
24.8%
4 19
16.8%
2 16
14.2%
3 12
10.6%
5 11
 
9.7%
6 7
 
6.2%
8 6
 
5.3%
0 5
 
4.4%
9 5
 
4.4%
7 4
 
3.5%
Space Separator
ValueCountFrequency (%)
99
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 360
61.0%
Common 230
39.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 61
16.9%
완 35
 
9.7%
남 27
 
7.5%
전 24
 
6.7%
라 24
 
6.7%
군 24
 
6.7%
길 18
 
5.0%
로 16
 
4.4%
읍 15
 
4.2%
번 10
 
2.8%
Other values (41) 106
29.4%
Common
ValueCountFrequency (%)
99
43.0%
1 28
 
12.2%
4 19
 
8.3%
- 18
 
7.8%
2 16
 
7.0%
3 12
 
5.2%
5 11
 
4.8%
6 7
 
3.0%
8 6
 
2.6%
0 5
 
2.2%
Other values (2) 9
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 360
61.0%
ASCII 230
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
99
43.0%
1 28
 
12.2%
4 19
 
8.3%
- 18
 
7.8%
2 16
 
7.0%
3 12
 
5.2%
5 11
 
4.8%
6 7
 
3.0%
8 6
 
2.6%
0 5
 
2.2%
Other values (2) 9
 
3.9%
Hangul
ValueCountFrequency (%)
도 61
16.9%
완 35
 
9.7%
남 27
 
7.5%
전 24
 
6.7%
라 24
 
6.7%
군 24
 
6.7%
길 18
 
5.0%
로 16
 
4.4%
읍 15
 
4.2%
번 10
 
2.8%
Other values (41) 106
29.4%

어린이집전화번호
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T23:00:28.971335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters288
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

Unique24 ?
Unique (%)100.0%

Sample

1st row061-553-0852
2nd row061-843-7717
3rd row061-555-1323
4th row061-554-9004
5th row061-554-5732
ValueCountFrequency (%)
061-553-0852 1
 
4.2%
061-843-7717 1
 
4.2%
061-554-1455 1
 
4.2%
061-552-2183 1
 
4.2%
061-554-2183 1
 
4.2%
061-555-5690 1
 
4.2%
061-554-4884 1
 
4.2%
061-554-1977 1
 
4.2%
061-554-4780 1
 
4.2%
061-554-5532 1
 
4.2%
Other values (14) 14
58.3%
2023-12-12T23:00:29.367548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 65
22.6%
- 48
16.7%
1 36
12.5%
0 34
11.8%
6 32
11.1%
4 23
 
8.0%
3 13
 
4.5%
2 12
 
4.2%
7 11
 
3.8%
8 10
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 240
83.3%
Dash Punctuation 48
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 65
27.1%
1 36
15.0%
0 34
14.2%
6 32
13.3%
4 23
 
9.6%
3 13
 
5.4%
2 12
 
5.0%
7 11
 
4.6%
8 10
 
4.2%
9 4
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 288
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 65
22.6%
- 48
16.7%
1 36
12.5%
0 34
11.8%
6 32
11.1%
4 23
 
8.0%
3 13
 
4.5%
2 12
 
4.2%
7 11
 
3.8%
8 10
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 288
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 65
22.6%
- 48
16.7%
1 36
12.5%
0 34
11.8%
6 32
11.1%
4 23
 
8.0%
3 13
 
4.5%
2 12
 
4.2%
7 11
 
3.8%
8 10
 
3.5%

어린이집팩스번호
Text

MISSING 

Distinct23
Distinct (%)100.0%
Missing1
Missing (%)4.2%
Memory size324.0 B
2023-12-12T23:00:29.631840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters276
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

Unique23 ?
Unique (%)100.0%

Sample

1st row061-555-0853
2nd row061-843-3992
3rd row061-555-1322
4th row061-554-9004
5th row061-552-9182
ValueCountFrequency (%)
061-555-0853 1
 
4.3%
061-555-1122 1
 
4.3%
061-552-2183 1
 
4.3%
061-554-2184 1
 
4.3%
061-555-5691 1
 
4.3%
061-554-4224 1
 
4.3%
061-554-1979 1
 
4.3%
061-554-4780 1
 
4.3%
061-555-1788 1
 
4.3%
061-554-4651 1
 
4.3%
Other values (13) 13
56.5%
2023-12-12T23:00:30.026864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 60
21.7%
- 46
16.7%
1 38
13.8%
0 34
12.3%
6 31
11.2%
2 20
 
7.2%
4 17
 
6.2%
8 10
 
3.6%
3 9
 
3.3%
9 7
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
83.3%
Dash Punctuation 46
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 60
26.1%
1 38
16.5%
0 34
14.8%
6 31
13.5%
2 20
 
8.7%
4 17
 
7.4%
8 10
 
4.3%
3 9
 
3.9%
9 7
 
3.0%
7 4
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 60
21.7%
- 46
16.7%
1 38
13.8%
0 34
12.3%
6 31
11.2%
2 20
 
7.2%
4 17
 
6.2%
8 10
 
3.6%
3 9
 
3.3%
9 7
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 60
21.7%
- 46
16.7%
1 38
13.8%
0 34
12.3%
6 31
11.2%
2 20
 
7.2%
4 17
 
6.2%
8 10
 
3.6%
3 9
 
3.3%
9 7
 
2.5%

보육실수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct9
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8333333
Minimum0
Maximum10
Zeros1
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T23:00:30.181684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median4
Q37
95-th percentile8
Maximum10
Range10
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.4257077
Coefficient of variation (CV)0.50187056
Kurtosis-0.40168
Mean4.8333333
Median Absolute Deviation (MAD)2
Skewness0.21194086
Sum116
Variance5.884058
MonotonicityNot monotonic
2023-12-12T23:00:30.309547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
4 6
25.0%
7 3
12.5%
2 3
12.5%
8 3
12.5%
3 3
12.5%
5 2
 
8.3%
6 2
 
8.3%
0 1
 
4.2%
10 1
 
4.2%
ValueCountFrequency (%)
0 1
 
4.2%
2 3
12.5%
3 3
12.5%
4 6
25.0%
5 2
 
8.3%
6 2
 
8.3%
7 3
12.5%
8 3
12.5%
10 1
 
4.2%
ValueCountFrequency (%)
10 1
 
4.2%
8 3
12.5%
7 3
12.5%
6 2
 
8.3%
5 2
 
8.3%
4 6
25.0%
3 3
12.5%
2 3
12.5%
0 1
 
4.2%

놀이터수
Categorical

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
1
15 
2
5 
0
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 15
62.5%
2 5
 
20.8%
0 4
 
16.7%

Length

2023-12-12T23:00:30.449652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:00:30.552203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 15
62.5%
2 5
 
20.8%
0 4
 
16.7%

CCTV설치수
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)45.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4583333
Minimum4
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T23:00:30.660817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q14
median6.5
Q313
95-th percentile15.85
Maximum21
Range17
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.0215117
Coefficient of variation (CV)0.59367626
Kurtosis-0.16095618
Mean8.4583333
Median Absolute Deviation (MAD)2.5
Skewness0.94743288
Sum203
Variance25.21558
MonotonicityNot monotonic
2023-12-12T23:00:30.770910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
4 7
29.2%
5 4
16.7%
7 3
12.5%
15 2
 
8.3%
13 2
 
8.3%
11 1
 
4.2%
21 1
 
4.2%
10 1
 
4.2%
6 1
 
4.2%
16 1
 
4.2%
ValueCountFrequency (%)
4 7
29.2%
5 4
16.7%
6 1
 
4.2%
7 3
12.5%
10 1
 
4.2%
11 1
 
4.2%
13 2
 
8.3%
14 1
 
4.2%
15 2
 
8.3%
16 1
 
4.2%
ValueCountFrequency (%)
21 1
 
4.2%
16 1
 
4.2%
15 2
8.3%
14 1
 
4.2%
13 2
8.3%
11 1
 
4.2%
10 1
 
4.2%
7 3
12.5%
6 1
 
4.2%
5 4
16.7%

통학차량운영여부
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size156.0 B
True
22 
False
 
2
ValueCountFrequency (%)
True 22
91.7%
False 2
 
8.3%
2023-12-12T23:00:30.894836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

홈페이지주소
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing23
Missing (%)95.8%
Memory size324.0 B
2023-12-12T23:00:31.038627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters21
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowhttp://www.wdsk.or.kr
ValueCountFrequency (%)
http://www.wdsk.or.kr 1
100.0%
2023-12-12T23:00:31.370087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 4
19.0%
. 3
14.3%
t 2
9.5%
/ 2
9.5%
k 2
9.5%
r 2
9.5%
h 1
 
4.8%
p 1
 
4.8%
: 1
 
4.8%
d 1
 
4.8%
Other values (2) 2
9.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 15
71.4%
Other Punctuation 6
 
28.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 4
26.7%
t 2
13.3%
k 2
13.3%
r 2
13.3%
h 1
 
6.7%
p 1
 
6.7%
d 1
 
6.7%
s 1
 
6.7%
o 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 3
50.0%
/ 2
33.3%
: 1
 
16.7%

Most occurring scripts

ValueCountFrequency (%)
Latin 15
71.4%
Common 6
 
28.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 4
26.7%
t 2
13.3%
k 2
13.3%
r 2
13.3%
h 1
 
6.7%
p 1
 
6.7%
d 1
 
6.7%
s 1
 
6.7%
o 1
 
6.7%
Common
ValueCountFrequency (%)
. 3
50.0%
/ 2
33.3%
: 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 4
19.0%
. 3
14.3%
t 2
9.5%
/ 2
9.5%
k 2
9.5%
r 2
9.5%
h 1
 
4.8%
p 1
 
4.8%
: 1
 
4.8%
d 1
 
4.8%
Other values (2) 2
9.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
2019-06-28
24 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-06-28
2nd row2019-06-28
3rd row2019-06-28
4th row2019-06-28
5th row2019-06-28

Common Values

ValueCountFrequency (%)
2019-06-28 24
100.0%

Length

2023-12-12T23:00:31.518904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:00:31.622380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-06-28 24
100.0%

Interactions

2023-12-12T23:00:25.244656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:24.103260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:24.512298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:24.843686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:25.339349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:24.213872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:24.590355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:24.947159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:25.418441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:24.309666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:24.676064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:25.024992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:25.533005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:24.414835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:24.759261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:25.116383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:00:31.692950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
어린이집명어린이집유형구분정원수보육교직원수소재지도로명주소어린이집전화번호어린이집팩스번호보육실수놀이터수CCTV설치수통학차량운영여부
어린이집명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
어린이집유형구분1.0001.0000.4470.2791.0001.0001.0000.5490.3500.0000.380
정원수1.0000.4471.0000.7461.0001.0001.0000.7750.5300.9460.367
보육교직원수1.0000.2790.7461.0001.0001.0001.0000.8580.0000.8320.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
어린이집전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
어린이집팩스번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
보육실수1.0000.5490.7750.8581.0001.0001.0001.0000.6800.7260.666
놀이터수1.0000.3500.5300.0001.0001.0001.0000.6801.0000.0000.000
CCTV설치수1.0000.0000.9460.8321.0001.0001.0000.7260.0001.0000.000
통학차량운영여부1.0000.3800.3670.0001.0001.0001.0000.6660.0000.0001.000
2023-12-12T23:00:31.851454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
어린이집유형구분통학차량운영여부놀이터수
어린이집유형구분1.0000.4230.255
통학차량운영여부0.4231.0000.000
놀이터수0.2550.0001.000
2023-12-12T23:00:31.974010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정원수보육교직원수보육실수CCTV설치수어린이집유형구분놀이터수통학차량운영여부
정원수1.0000.8760.9490.8770.2560.3280.207
보육교직원수0.8761.0000.8520.7980.0670.0000.000
보육실수0.9490.8521.0000.8670.2920.3080.549
CCTV설치수0.8770.7980.8671.0000.0000.0000.000
어린이집유형구분0.2560.0670.2920.0001.0000.2550.423
놀이터수0.3280.0000.3080.0000.2551.0000.000
통학차량운영여부0.2070.0000.5490.0000.4230.0001.000

Missing values

2023-12-12T23:00:25.685999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:00:26.187085image/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.
2023-12-12T23:00:26.340265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

어린이집명시도명시군구명어린이집유형구분정원수보육교직원수소재지도로명주소어린이집전화번호어린이집팩스번호보육실수놀이터수CCTV설치수통학차량운영여부홈페이지주소데이터기준일자
0고금중앙어린이집전라남도완도군사회복지법인8815전라남도 완도군 고금면 고금동로 17-28061-553-0852061-555-08537111Y<NA>2019-06-28
1금당예꼬어린이집전라남도완도군국공립155전라남도 완도군 금당면 금당로113번길 14-6061-843-7717061-843-3992204N<NA>2019-06-28
2금일제일어린이집전라남도완도군법인·단체397전라남도 완도군 금일읍 도장길 18-2061-555-1323061-555-1322424Y<NA>2019-06-28
3노화소망어린이집전라남도완도군사회복지법인8413전라남도 완도군 노화읍 이목25번길 23-14061-554-9004061-554-90048121Y<NA>2019-06-28
4보길성신어린이집전라남도완도군법인·단체6911전라남도 완도군 보길면 보길월송길 43-1061-554-5732061-552-91828110Y<NA>2019-06-28
5보길어린이집전라남도완도군국공립397전라남도 완도군 보길면 부황길 124-39061-554-0661061-552-0661404Y<NA>2019-06-28
6샤론어린이집전라남도완도군민간247전라남도 완도군 완도읍 개포로145번길 44-3061-555-1533061-555-1533214Y<NA>2019-06-28
7성광 어린이집전라남도완도군법인·단체8517전라남도 완도군 완도읍 신기길 56-63061-552-4100061-552-41067115Yhttp://www.wdsk.or.kr2019-06-28
8소안어린이집전라남도완도군사회복지법인396전라남도 완도군 소안면 비자34번길 18061-554-0676061-554-0676426Y<NA>2019-06-28
9신지제일어린이집전라남도완도군법인·단체397전라남도 완도군 신지면 신지로 542-1061-554-8622061-554-8622415Y<NA>2019-06-28
어린이집명시도명시군구명어린이집유형구분정원수보육교직원수소재지도로명주소어린이집전화번호어린이집팩스번호보육실수놀이터수CCTV설치수통학차량운영여부홈페이지주소데이터기준일자
14완도제일어린이집전라남도완도군법인·단체458전라남도 완도군 완도읍 청해진남로23번길 15-1061-554-4655061-554-4651517Y<NA>2019-06-28
15완도중앙어린이집전라남도완도군사회복지법인9916전라남도 완도군 완도읍 청해진로 1496061-554-5532061-555-17887213Y<NA>2019-06-28
16우리아이어린이집전라남도완도군가정206전라남도 완도군 완도읍 개포로145번길 8-12 청해진맨션 104호061-554-4780061-554-4780304Y<NA>2019-06-28
17우리어린이집전라남도완도군민간679전라남도 완도군 고금면 고금동로 17-20061-554-1977061-554-19796115Y<NA>2019-06-28
18장보고어린이집전라남도완도군사회복지법인3610전라남도 완도군 완도읍 청해진남로 44061-554-4884061-554-4224315Y<NA>2019-06-28
19청산 어린이집전라남도완도군국공립397전라남도 완도군 청산면 청산로 1579-57061-555-5690061-555-5691427Y<NA>2019-06-28
20청해어린이집전라남도완도군국공립7311전라남도 완도군 완도읍 소가용길35061-554-2183061-554-21846114Y<NA>2019-06-28
21청해어린이집분원넙도어린이집전라남도완도군국공립92전라남도 완도군 노화읍 넙도108번길 29-12061-552-2183061-552-2183214N<NA>2019-06-28
22한빛어린이집전라남도완도군민간395전라남도 완도군 노화읍 노화서로 416-4061-554-1455<NA>425Y<NA>2019-06-28
23햇살어린이집전라남도완도군가정207전라남도 완도군 완도읍 개포로135번길 16-61 금호그린빌 가동102호061-554-7850061-554-0505314Y<NA>2019-06-28