Overview

Dataset statistics

Number of variables14
Number of observations29
Missing cells1
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.5 KiB
Average record size in memory122.6 B

Variable types

Categorical5
Text4
DateTime1
Numeric4

Dataset

Description대전광역시 아동복지시설 및 기관운영현황에 대한 데이터로 (시설명, 설립일자, 전화번호 등) 의 항목을 제공합니다.
Author대전광역시
URLhttps://www.data.go.kr/data/15061177/fileData.do

Alerts

광역시도코드 has constant value ""Constant
광역시도명 has constant value ""Constant
시군구명 is highly overall correlated with 행정동코드 and 2 other fieldsHigh correlation
시군구코드 is highly overall correlated with 행정동코드 and 2 other fieldsHigh correlation
정원 is highly overall correlated with 사업종류High correlation
행정동코드 is highly overall correlated with X좌표 and 2 other fieldsHigh correlation
X좌표 is highly overall correlated with 행정동코드 and 2 other fieldsHigh correlation
사업종류 is highly overall correlated with 정원High correlation
전화번호 has 1 (3.4%) missing valuesMissing
시설명 has unique valuesUnique
설립년월일 has unique valuesUnique
소재지 has unique valuesUnique
X좌표 has unique valuesUnique
Y좌표 has unique valuesUnique

Reproduction

Analysis started2024-03-23 05:37:49.622653
Analysis finished2024-03-23 05:37:54.443922
Duration4.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업종류
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
아동공동생활가정
16 
양육시설
11 
보호치료시설
 
1
자립지원시설
 
1

Length

Max length8
Median length8
Mean length6.3448276
Min length4

Unique

Unique2 ?
Unique (%)6.9%

Sample

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

Common Values

ValueCountFrequency (%)
아동공동생활가정 16
55.2%
양육시설 11
37.9%
보호치료시설 1
 
3.4%
자립지원시설 1
 
3.4%

Length

2024-03-23T14:37:54.586623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:37:54.785285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아동공동생활가정 16
55.2%
양육시설 11
37.9%
보호치료시설 1
 
3.4%
자립지원시설 1
 
3.4%

시설명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-03-23T14:37:55.076819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length7
Mean length5.4137931
Min length2

Characters and Unicode

Total characters157
Distinct characters89
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

Unique29 ?
Unique (%)100.0%

Sample

1st row늘사랑아동센터
2nd row자혜아동복지센터
3rd row평화의마을아동복지쎈터
4th row성심원
5th row구세군대전혜생원
ValueCountFrequency (%)
이삭의집 2
 
6.5%
늘사랑아동센터 1
 
3.2%
자혜아동복지센터 1
 
3.2%
샤인하우스 1
 
3.2%
행복한우리집 1
 
3.2%
즐겁고행복한집 1
 
3.2%
마르지않는샘 1
 
3.2%
애뜰 1
 
3.2%
햇살가득한집 1
 
3.2%
열매마을의집 1
 
3.2%
Other values (20) 20
64.5%
2024-03-23T14:37:55.744557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
집 11
 
7.0%
의 8
 
5.1%
원 8
 
5.1%
마 5
 
3.2%
동 4
 
2.5%
자 4
 
2.5%
복 4
 
2.5%
보 3
 
1.9%
한 3
 
1.9%
우 3
 
1.9%
Other values (79) 104
66.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 155
98.7%
Space Separator 2
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
집 11
 
7.1%
의 8
 
5.2%
원 8
 
5.2%
마 5
 
3.2%
동 4
 
2.6%
자 4
 
2.6%
복 4
 
2.6%
보 3
 
1.9%
한 3
 
1.9%
우 3
 
1.9%
Other values (78) 102
65.8%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 155
98.7%
Common 2
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
집 11
 
7.1%
의 8
 
5.2%
원 8
 
5.2%
마 5
 
3.2%
동 4
 
2.6%
자 4
 
2.6%
복 4
 
2.6%
보 3
 
1.9%
한 3
 
1.9%
우 3
 
1.9%
Other values (78) 102
65.8%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 155
98.7%
ASCII 2
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
집 11
 
7.1%
의 8
 
5.2%
원 8
 
5.2%
마 5
 
3.2%
동 4
 
2.6%
자 4
 
2.6%
복 4
 
2.6%
보 3
 
1.9%
한 3
 
1.9%
우 3
 
1.9%
Other values (78) 102
65.8%
ASCII
ValueCountFrequency (%)
2
100.0%

설립년월일
Date

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum1947-10-01 00:00:00
Maximum2023-02-01 00:00:00
2024-03-23T14:37:56.094289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:37:56.382872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

소재지
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-03-23T14:37:56.806899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length25.034483
Min length21

Characters and Unicode

Total characters726
Distinct characters86
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row대전광역시 중구 학고개로34번길 33 (옥계동)
2nd row대전광역시 동구 미래길 16 (소제동)
3rd row대전광역시 동구 가양로 85 (가양동)
4th row대전광역시 동구 산내로386번길 8-26 (하소동)
5th row대전광역시 서구 오량4길 61 (복수동)
ValueCountFrequency (%)
대전광역시 29
 
20.4%
유성구 8
 
5.6%
동구 8
 
5.6%
서구 6
 
4.2%
중구 5
 
3.5%
원내동 3
 
2.1%
정림동 3
 
2.1%
33 2
 
1.4%
대덕구 2
 
1.4%
대전로1033번길 1
 
0.7%
Other values (75) 75
52.8%
2024-03-23T14:37:57.826393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
113
 
15.6%
동 40
 
5.5%
대 38
 
5.2%
전 32
 
4.4%
구 30
 
4.1%
) 29
 
4.0%
( 29
 
4.0%
시 29
 
4.0%
역 29
 
4.0%
광 29
 
4.0%
Other values (76) 328
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 425
58.5%
Decimal Number 121
 
16.7%
Space Separator 113
 
15.6%
Close Punctuation 29
 
4.0%
Open Punctuation 29
 
4.0%
Dash Punctuation 9
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 40
 
9.4%
대 38
 
8.9%
전 32
 
7.5%
구 30
 
7.1%
시 29
 
6.8%
역 29
 
6.8%
광 29
 
6.8%
로 25
 
5.9%
길 19
 
4.5%
번 15
 
3.5%
Other values (62) 139
32.7%
Decimal Number
ValueCountFrequency (%)
1 21
17.4%
3 19
15.7%
4 14
11.6%
0 14
11.6%
6 14
11.6%
5 13
10.7%
8 10
8.3%
2 9
7.4%
7 4
 
3.3%
9 3
 
2.5%
Space Separator
ValueCountFrequency (%)
113
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 425
58.5%
Common 301
41.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 40
 
9.4%
대 38
 
8.9%
전 32
 
7.5%
구 30
 
7.1%
시 29
 
6.8%
역 29
 
6.8%
광 29
 
6.8%
로 25
 
5.9%
길 19
 
4.5%
번 15
 
3.5%
Other values (62) 139
32.7%
Common
ValueCountFrequency (%)
113
37.5%
) 29
 
9.6%
( 29
 
9.6%
1 21
 
7.0%
3 19
 
6.3%
4 14
 
4.7%
0 14
 
4.7%
6 14
 
4.7%
5 13
 
4.3%
8 10
 
3.3%
Other values (4) 25
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 425
58.5%
ASCII 301
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
113
37.5%
) 29
 
9.6%
( 29
 
9.6%
1 21
 
7.0%
3 19
 
6.3%
4 14
 
4.7%
0 14
 
4.7%
6 14
 
4.7%
5 13
 
4.3%
8 10
 
3.3%
Other values (4) 25
 
8.3%
Hangul
ValueCountFrequency (%)
동 40
 
9.4%
대 38
 
8.9%
전 32
 
7.5%
구 30
 
7.1%
시 29
 
6.8%
역 29
 
6.8%
광 29
 
6.8%
로 25
 
5.9%
길 19
 
4.5%
번 15
 
3.5%
Other values (62) 139
32.7%

정원
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)44.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.655172
Minimum5
Maximum115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-03-23T14:37:58.059483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile7
Q17
median7
Q348
95-th percentile73.8
Maximum115
Range110
Interquartile range (IQR)41

Descriptive statistics

Standard deviation28.463355
Coefficient of variation (CV)1.0292235
Kurtosis1.5342321
Mean27.655172
Median Absolute Deviation (MAD)0
Skewness1.3404998
Sum802
Variance810.16256
MonotonicityNot monotonic
2024-03-23T14:37:58.303658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
7 15
51.7%
54 2
 
6.9%
48 2
 
6.9%
57 1
 
3.4%
50 1
 
3.4%
75 1
 
3.4%
30 1
 
3.4%
72 1
 
3.4%
40 1
 
3.4%
15 1
 
3.4%
Other values (3) 3
 
10.3%
ValueCountFrequency (%)
5 1
 
3.4%
7 15
51.7%
15 1
 
3.4%
30 1
 
3.4%
34 1
 
3.4%
40 1
 
3.4%
48 2
 
6.9%
50 1
 
3.4%
54 2
 
6.9%
57 1
 
3.4%
ValueCountFrequency (%)
115 1
3.4%
75 1
3.4%
72 1
3.4%
57 1
3.4%
54 2
6.9%
50 1
3.4%
48 2
6.9%
40 1
3.4%
34 1
3.4%
30 1
3.4%

전화번호
Text

MISSING 

Distinct27
Distinct (%)96.4%
Missing1
Missing (%)3.4%
Memory size364.0 B
2024-03-23T14:37:58.660052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.142857
Min length12

Characters and Unicode

Total characters340
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)92.9%

Sample

1st row042-634-0061
2nd row042-672-8262
3rd row042-672-1418
4th row042-273-4249
5th row042-582-0215
ValueCountFrequency (%)
042-584-9393 2
 
6.9%
042-634-0061 1
 
3.4%
042-672-8262 1
 
3.4%
042-585-0191 1
 
3.4%
042-585-4298 1
 
3.4%
070-4065-4012 1
 
3.4%
042-321-9093 1
 
3.4%
042-933-0188 1
 
3.4%
070-8738-8875 1
 
3.4%
070-8828-1592 1
 
3.4%
Other values (18) 18
62.1%
2024-03-23T14:37:59.279751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 56
16.5%
2 52
15.3%
0 47
13.8%
4 39
11.5%
8 27
7.9%
3 22
 
6.5%
7 22
 
6.5%
5 21
 
6.2%
6 18
 
5.3%
1 18
 
5.3%
Other values (2) 18
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 283
83.2%
Dash Punctuation 56
 
16.5%
Space Separator 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 52
18.4%
0 47
16.6%
4 39
13.8%
8 27
9.5%
3 22
7.8%
7 22
7.8%
5 21
7.4%
6 18
 
6.4%
1 18
 
6.4%
9 17
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 340
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 56
16.5%
2 52
15.3%
0 47
13.8%
4 39
11.5%
8 27
7.9%
3 22
 
6.5%
7 22
 
6.5%
5 21
 
6.2%
6 18
 
5.3%
1 18
 
5.3%
Other values (2) 18
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 340
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 56
16.5%
2 52
15.3%
0 47
13.8%
4 39
11.5%
8 27
7.9%
3 22
 
6.5%
7 22
 
6.5%
5 21
 
6.2%
6 18
 
5.3%
1 18
 
5.3%
Other values (2) 18
 
5.3%

광역시도코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
30
29 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row30
2nd row30
3rd row30
4th row30
5th row30

Common Values

ValueCountFrequency (%)
30 29
100.0%

Length

2024-03-23T14:37:59.521060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:37:59.676950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30 29
100.0%

광역시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
대전광역시
29 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대전광역시 29
100.0%

Length

2024-03-23T14:37:59.920222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:38:00.296018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대전광역시 29
100.0%

시군구코드
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
30110
8 
30200
8 
30170
6 
30140
5 
30230
2 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row30140
2nd row30110
3rd row30110
4th row30110
5th row30170

Common Values

ValueCountFrequency (%)
30110 8
27.6%
30200 8
27.6%
30170 6
20.7%
30140 5
17.2%
30230 2
 
6.9%

Length

2024-03-23T14:38:00.493646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:38:00.842984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30110 8
27.6%
30200 8
27.6%
30170 6
20.7%
30140 5
17.2%
30230 2
 
6.9%

시군구명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
동구
8 
유성구
8 
서구
6 
중구
5 
대덕구
2 

Length

Max length3
Median length2
Mean length2.3448276
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중구
2nd row동구
3rd row동구
4th row동구
5th row서구

Common Values

ValueCountFrequency (%)
동구 8
27.6%
유성구 8
27.6%
서구 6
20.7%
중구 5
17.2%
대덕구 2
 
6.9%

Length

2024-03-23T14:38:01.172043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:38:01.361466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동구 8
27.6%
유성구 8
27.6%
서구 6
20.7%
중구 5
17.2%
대덕구 2
 
6.9%

행정동코드
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0161269 × 109
Minimum3.0110515 × 109
Maximum3.0230525 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-03-23T14:38:01.617588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.0110515 × 109
5-th percentile3.0110554 × 109
Q13.011074 × 109
median3.017053 × 109
Q33.020052 × 109
95-th percentile3.0218546 × 109
Maximum3.0230525 × 109
Range12001000
Interquartile range (IQR)8978000

Descriptive statistics

Standard deviation4012723.3
Coefficient of variation (CV)0.0013304226
Kurtosis-1.3262671
Mean3.0161269 × 109
Median Absolute Deviation (MAD)2999000
Skewness0.041952349
Sum8.7467681 × 1010
Variance1.6101948 × 1013
MonotonicityNot monotonic
2024-03-23T14:38:01.853950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
3020052000 4
 
13.8%
3017053500 3
 
10.3%
3011074000 2
 
6.9%
3014062000 1
 
3.4%
3023051000 1
 
3.4%
3011053000 1
 
3.4%
3014074000 1
 
3.4%
3014057500 1
 
3.4%
3017053000 1
 
3.4%
3020060000 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
3011051500 1
3.4%
3011053000 1
3.4%
3011059000 1
3.4%
3011062000 1
3.4%
3011064000 1
3.4%
3011067000 1
3.4%
3011074000 2
6.9%
3014055000 1
3.4%
3014057500 1
3.4%
3014062000 1
3.4%
ValueCountFrequency (%)
3023052500 1
 
3.4%
3023051000 1
 
3.4%
3020060000 1
 
3.4%
3020055000 1
 
3.4%
3020054600 1
 
3.4%
3020054000 1
 
3.4%
3020052000 4
13.8%
3017057500 1
 
3.4%
3017053500 3
10.3%
3017053000 1
 
3.4%

행정동명
Text

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-03-23T14:38:02.148722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.1034483
Min length2

Characters and Unicode

Total characters90
Distinct characters39
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

Unique20 ?
Unique (%)69.0%

Sample

1st row석교동
2nd row중앙동
3rd row가양1동
4th row산내동
5th row복수동
ValueCountFrequency (%)
진잠동 4
 
13.8%
정림동 3
 
10.3%
산내동 2
 
6.9%
홍도동 1
 
3.4%
석교동 1
 
3.4%
오정동 1
 
3.4%
산성동 1
 
3.4%
대흥동 1
 
3.4%
도마2동 1
 
3.4%
관평동 1
 
3.4%
Other values (13) 13
44.8%
2024-03-23T14:38:02.754179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 29
32.2%
진 4
 
4.4%
정 4
 
4.4%
잠 4
 
4.4%
림 3
 
3.3%
산 3
 
3.3%
내 3
 
3.3%
2 3
 
3.3%
용 2
 
2.2%
양 2
 
2.2%
Other values (29) 33
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 85
94.4%
Decimal Number 5
 
5.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 29
34.1%
진 4
 
4.7%
정 4
 
4.7%
잠 4
 
4.7%
림 3
 
3.5%
산 3
 
3.5%
내 3
 
3.5%
용 2
 
2.4%
양 2
 
2.4%
도 2
 
2.4%
Other values (27) 29
34.1%
Decimal Number
ValueCountFrequency (%)
2 3
60.0%
1 2
40.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 85
94.4%
Common 5
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 29
34.1%
진 4
 
4.7%
정 4
 
4.7%
잠 4
 
4.7%
림 3
 
3.5%
산 3
 
3.5%
내 3
 
3.5%
용 2
 
2.4%
양 2
 
2.4%
도 2
 
2.4%
Other values (27) 29
34.1%
Common
ValueCountFrequency (%)
2 3
60.0%
1 2
40.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 85
94.4%
ASCII 5
 
5.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 29
34.1%
진 4
 
4.7%
정 4
 
4.7%
잠 4
 
4.7%
림 3
 
3.5%
산 3
 
3.5%
내 3
 
3.5%
용 2
 
2.4%
양 2
 
2.4%
도 2
 
2.4%
Other values (27) 29
34.1%
ASCII
ValueCountFrequency (%)
2 3
60.0%
1 2
40.0%

X좌표
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.39158
Minimum127.3147
Maximum127.46538
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-03-23T14:38:02.980680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.3147
5-th percentile127.31592
Q1127.35369
median127.38629
Q3127.43451
95-th percentile127.45361
Maximum127.46538
Range0.1506794
Interquartile range (IQR)0.0808214

Descriptive statistics

Standard deviation0.048353487
Coefficient of variation (CV)0.00037956579
Kurtosis-1.2558864
Mean127.39158
Median Absolute Deviation (MAD)0.043605
Skewness-0.1932012
Sum3694.3559
Variance0.0023380597
MonotonicityNot monotonic
2024-03-23T14:38:03.303642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
127.4521278 1
 
3.4%
127.4409674 1
 
3.4%
127.3147 1
 
3.4%
127.4546 1
 
3.4%
127.3862864 1
 
3.4%
127.432031 1
 
3.4%
127.369578 1
 
3.4%
127.3861439 1
 
3.4%
127.3156921 1
 
3.4%
127.3441204 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
127.3147 1
3.4%
127.3156921 1
3.4%
127.3162729 1
3.4%
127.3200579 1
3.4%
127.3230491 1
3.4%
127.3441204 1
3.4%
127.3525108 1
3.4%
127.35369 1
3.4%
127.367183 1
3.4%
127.369578 1
3.4%
ValueCountFrequency (%)
127.4653794 1
3.4%
127.4546 1
3.4%
127.4521278 1
3.4%
127.4516016 1
3.4%
127.44164 1
3.4%
127.4416088 1
3.4%
127.4409674 1
3.4%
127.4345114 1
3.4%
127.432031 1
3.4%
127.4298914 1
3.4%

Y좌표
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.325401
Minimum36.218624
Maximum36.421757
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-03-23T14:38:03.541804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.218624
5-th percentile36.286994
Q136.3007
median36.320822
Q336.345156
95-th percentile36.389701
Maximum36.421757
Range0.20313303
Interquartile range (IQR)0.04445648

Descriptive statistics

Standard deviation0.040008528
Coefficient of variation (CV)0.0011013926
Kurtosis1.3484277
Mean36.325401
Median Absolute Deviation (MAD)0.02278849
Skewness0.13108661
Sum1053.4366
Variance0.0016006823
MonotonicityNot monotonic
2024-03-23T14:38:03.765857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
36.29735264 1
 
3.4%
36.33236003 1
 
3.4%
36.3007 1
 
3.4%
36.3322 1
 
3.4%
36.29688941 1
 
3.4%
36.32509896 1
 
3.4%
36.31034855 1
 
3.4%
36.42175661 1
 
3.4%
36.30152705 1
 
3.4%
36.38244692 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
36.21862358 1
3.4%
36.28063096 1
3.4%
36.29653779 1
3.4%
36.29688941 1
3.4%
36.29735264 1
3.4%
36.29803379 1
3.4%
36.29924918 1
3.4%
36.3007 1
3.4%
36.30152705 1
3.4%
36.30259384 1
3.4%
ValueCountFrequency (%)
36.42175661 1
3.4%
36.38985093 1
3.4%
36.38947722 1
3.4%
36.38244692 1
3.4%
36.35990669 1
3.4%
36.35183286 1
3.4%
36.34825101 1
3.4%
36.34515648 1
3.4%
36.34427775 1
3.4%
36.34239507 1
3.4%

Interactions

2024-03-23T14:37:53.021337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:37:50.542053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:37:51.407136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:37:52.124617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:37:53.216422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:37:50.745752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:37:51.587206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:37:52.304868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:37:53.417075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:37:50.940813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:37:51.750628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:37:52.526390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:37:53.659046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:37:51.188665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:37:51.920551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:37:52.810778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T14:38:03.957036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업종류시설명설립년월일소재지정원전화번호시군구코드시군구명행정동코드행정동명X좌표Y좌표
사업종류1.0001.0001.0001.0000.9481.0000.1520.1520.0000.7390.4860.224
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
설립년월일1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
정원0.9481.0001.0001.0001.0001.0000.0000.0000.2370.0000.0000.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시군구코드0.1521.0001.0001.0000.0001.0001.0001.0001.0001.0000.9530.577
시군구명0.1521.0001.0001.0000.0001.0001.0001.0001.0001.0000.9530.577
행정동코드0.0001.0001.0001.0000.2371.0001.0001.0001.0001.0000.8360.538
행정동명0.7391.0001.0001.0000.0001.0001.0001.0001.0001.0000.9880.899
X좌표0.4861.0001.0001.0000.0001.0000.9530.9530.8360.9881.0000.538
Y좌표0.2241.0001.0001.0000.0001.0000.5770.5770.5380.8990.5381.000
2024-03-23T14:38:04.207314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업종류시군구명시군구코드
사업종류1.0000.0970.097
시군구명0.0971.0001.000
시군구코드0.0971.0001.000
2024-03-23T14:38:04.399289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정원행정동코드X좌표Y좌표사업종류시군구코드시군구명
정원1.000-0.0290.149-0.2900.8140.0000.000
행정동코드-0.0291.000-0.7230.2020.0000.9790.979
X좌표0.149-0.7231.0000.0480.2500.6190.619
Y좌표-0.2900.2020.0481.0000.1150.3920.392
사업종류0.8140.0000.2500.1151.0000.0970.097
시군구코드0.0000.9790.6190.3920.0971.0001.000
시군구명0.0000.9790.6190.3920.0971.0001.000

Missing values

2024-03-23T14:37:53.943257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T14:37:54.311572image/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

사업종류시설명설립년월일소재지정원전화번호광역시도코드광역시도명시군구코드시군구명행정동코드행정동명X좌표Y좌표
0양육시설늘사랑아동센터1965-06-19대전광역시 중구 학고개로34번길 33 (옥계동)54042-634-006130대전광역시30140중구3014062000석교동127.45212836.297353
1양육시설자혜아동복지센터1947-10-01대전광역시 동구 미래길 16 (소제동)48042-672-826230대전광역시30110동구3011051500중앙동127.44096736.33236
2양육시설평화의마을아동복지쎈터1961-08-02대전광역시 동구 가양로 85 (가양동)54042-672-141830대전광역시30110동구3011062000가양1동127.4416436.344278
3양육시설성심원1952-04-09대전광역시 동구 산내로386번길 8-26 (하소동)57042-273-424930대전광역시30110동구3011074000산내동127.44160936.218624
4양육시설구세군대전혜생원1952-05-10대전광역시 서구 오량4길 61 (복수동)50042-582-021530대전광역시30170서구3017051000복수동127.37838636.309007
5양육시설시온보육원1957-11-09대전광역시 서구 도솔길267번길 8 (내동)48042-533-407830대전광역시30170서구3017057500내동127.3536936.296538
6양육시설후생학원1957-10-23대전광역시 서구 정림서로138번길 65-5 (정림동)75042-583-266730대전광역시30170서구3017053500정림동127.36718336.298034
7양육시설정림원1957-04-07대전광역시 서구 정림동로30번길 15 (정림동)30042-583-367930대전광역시30170서구3017053500정림동127.36962436.304626
8양육시설천양원1952-03-01대전광역시 유성구 현충원로 473(장대동)72042-822-022730대전광역시30200유성구3020054000온천2동127.32304936.359907
9양육시설성우보육원1952-11-14대전광역시 대덕구 신탄진로 101 (연축동)40042-627-680030대전광역시30230대덕구3023052500회덕동127.42014736.389851
사업종류시설명설립년월일소재지정원전화번호광역시도코드광역시도명시군구코드시군구명행정동코드행정동명X좌표Y좌표
19아동공동생활가정이삭의집 남자2013-06-25대전광역시 유성구 진잠로160번길 31-9 (원내동)7042-584-939330대전광역시30200유성구3020052000진잠동127.32005836.302678
20아동공동생활가정이삭의집 여자2007-10-24대전광역시 유성구 진잠로124번길 5-10 (원내동)7042-584-939330대전광역시30200유성구3020052000진잠동127.31627336.302594
21아동공동생활가정열매마을의집2010-04-19대전광역시 유성구 노은로416 (지족동)7070-8738-887530대전광역시30200유성구3020054600노은1동127.3441236.382447
22아동공동생활가정햇살가득한집2008-02-18대전광역시 유성구 진잠로106번길 5-12 (원내동)7042-933-018830대전광역시30200유성구3020052000진잠동127.31569236.301527
23아동공동생활가정애뜰2010-12-22대전광역시 유성구 배울2로 24 (관평동)7042-321-909330대전광역시30200유성구3020060000관평동127.38614436.421757
24아동공동생활가정마르지않는샘2011-05-17대전광역시 서구 도림4길 66 (도마동)7070-4065-401230대전광역시30170서구3017053000도마2동127.36957836.310349
25아동공동생활가정즐겁고행복한집2012-06-27대전광역시 중구 대전천서로 401 (대흥동)7042-585-429830대전광역시30140중구3014057500대흥동127.43203136.325099
26아동공동생활가정행복한우리집2010-11-23대전광역시 중구 대둔산로350번길 102-3(사정동)7042-585-019130대전광역시30140중구3014074000산성동127.38628636.296889
27아동공동생활가정샤인하우스2019-02-08대전광역시 동구 대학로 23 (용운동)7<NA>30대전광역시30110동구3011053000용운동127.454636.3322
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