Overview

Dataset statistics

Number of variables15
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory129.0 B

Variable types

Text8
Categorical4
Numeric3

Dataset

Description파일 다운로드
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-11604/S/1/datasetView.do

Alerts

시설유형 has constant value ""Constant
시설종류 has constant value ""Constant
영업상태 has constant value ""Constant
정원 is highly overall correlated with 이용아동High correlation
이용아동 is highly overall correlated with 정원High correlation
연번 has unique valuesUnique
시설신고번호 has unique valuesUnique
시설명 has unique valuesUnique
소재지 has unique valuesUnique
전화번호 has unique valuesUnique
대표자 has unique valuesUnique
시설전화 has unique valuesUnique
신고일자 has unique valuesUnique

Reproduction

Analysis started2024-04-06 10:29:04.838403
Analysis finished2024-04-06 10:29:07.670318
Duration2.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-06T19:29:07.856613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length1.7727273
Min length1

Characters and Unicode

Total characters39
Distinct characters14
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

Unique22 ?
Unique (%)100.0%

Sample

1st row1
2nd row2
3rd row3
4th row4
5th row5
ValueCountFrequency (%)
1 1
 
4.5%
2 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
15 1
 
4.5%
14 1
 
4.5%
Other values (12) 12
54.5%
2024-04-06T19:29:08.384887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 13
33.3%
2 6
15.4%
3 2
 
5.1%
4 2
 
5.1%
5 2
 
5.1%
6 2
 
5.1%
7 2
 
5.1%
8 2
 
5.1%
9 2
 
5.1%
0 2
 
5.1%
Other values (4) 4
 
10.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 35
89.7%
Other Letter 2
 
5.1%
Open Punctuation 1
 
2.6%
Close Punctuation 1
 
2.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 13
37.1%
2 6
17.1%
3 2
 
5.7%
4 2
 
5.7%
5 2
 
5.7%
6 2
 
5.7%
7 2
 
5.7%
8 2
 
5.7%
9 2
 
5.7%
0 2
 
5.7%
Other Letter
ValueCountFrequency (%)
삭 1
50.0%
제 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 37
94.9%
Hangul 2
 
5.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 13
35.1%
2 6
16.2%
3 2
 
5.4%
4 2
 
5.4%
5 2
 
5.4%
6 2
 
5.4%
7 2
 
5.4%
8 2
 
5.4%
9 2
 
5.4%
0 2
 
5.4%
Other values (2) 2
 
5.4%
Hangul
ValueCountFrequency (%)
삭 1
50.0%
제 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37
94.9%
Hangul 2
 
5.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 13
35.1%
2 6
16.2%
3 2
 
5.4%
4 2
 
5.4%
5 2
 
5.4%
6 2
 
5.4%
7 2
 
5.4%
8 2
 
5.4%
9 2
 
5.4%
0 2
 
5.4%
Other values (2) 2
 
5.4%
Hangul
ValueCountFrequency (%)
삭 1
50.0%
제 1
50.0%

시설신고번호
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-06T19:29:08.709032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters264
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

Unique22 ?
Unique (%)100.0%

Sample

1st row20050303-006
2nd row20200101-001
3rd row20050922-010
4th row20070320-013
5th row20071023-001
ValueCountFrequency (%)
20050303-006 1
 
4.5%
20200101-001 1
 
4.5%
20131101-001 1
 
4.5%
20121205-001 1
 
4.5%
20120919-001 1
 
4.5%
20120601-001 1
 
4.5%
20111125-001 1
 
4.5%
20110805-001 1
 
4.5%
20110801-001 1
 
4.5%
20090717-001 1
 
4.5%
Other values (12) 12
54.5%
2024-04-06T19:29:09.198162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 107
40.5%
1 54
20.5%
2 39
 
14.8%
- 22
 
8.3%
3 9
 
3.4%
6 7
 
2.7%
9 7
 
2.7%
7 7
 
2.7%
5 6
 
2.3%
8 4
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 242
91.7%
Dash Punctuation 22
 
8.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 107
44.2%
1 54
22.3%
2 39
 
16.1%
3 9
 
3.7%
6 7
 
2.9%
9 7
 
2.9%
7 7
 
2.9%
5 6
 
2.5%
8 4
 
1.7%
4 2
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 264
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 107
40.5%
1 54
20.5%
2 39
 
14.8%
- 22
 
8.3%
3 9
 
3.4%
6 7
 
2.7%
9 7
 
2.7%
7 7
 
2.7%
5 6
 
2.3%
8 4
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 264
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 107
40.5%
1 54
20.5%
2 39
 
14.8%
- 22
 
8.3%
3 9
 
3.4%
6 7
 
2.7%
9 7
 
2.7%
7 7
 
2.7%
5 6
 
2.3%
8 4
 
1.5%

시설명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-06T19:29:09.510797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length10.090909
Min length7

Characters and Unicode

Total characters222
Distinct characters68
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

Unique22 ?
Unique (%)100.0%

Sample

1st row지역아동센터 사랑의공부방
2nd row나욧지역아동센터
3rd row강북지역아동센터
4th row하늘씨앗지역아동센터
5th row삼동지역아동센터
ValueCountFrequency (%)
지역아동센터 8
26.7%
서라벌아카데미 1
 
3.3%
희망의집 1
 
3.3%
동산비젼스쿨 1
 
3.3%
산지역아동센터 1
 
3.3%
사랑의 1
 
3.3%
우리지역아동센터 1
 
3.3%
꾸러기지역아동센터 1
 
3.3%
독립문지역아동센터 1
 
3.3%
마을속작은학교지역아동센터 1
 
3.3%
Other values (13) 13
43.3%
2024-04-06T19:29:10.065941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 26
 
11.7%
아 24
 
10.8%
지 22
 
9.9%
센 22
 
9.9%
터 22
 
9.9%
역 22
 
9.9%
8
 
3.6%
산 3
 
1.4%
의 3
 
1.4%
공 3
 
1.4%
Other values (58) 67
30.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 214
96.4%
Space Separator 8
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 26
 
12.1%
아 24
 
11.2%
지 22
 
10.3%
센 22
 
10.3%
터 22
 
10.3%
역 22
 
10.3%
산 3
 
1.4%
의 3
 
1.4%
공 3
 
1.4%
강 2
 
0.9%
Other values (57) 65
30.4%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 214
96.4%
Common 8
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 26
 
12.1%
아 24
 
11.2%
지 22
 
10.3%
센 22
 
10.3%
터 22
 
10.3%
역 22
 
10.3%
산 3
 
1.4%
의 3
 
1.4%
공 3
 
1.4%
강 2
 
0.9%
Other values (57) 65
30.4%
Common
ValueCountFrequency (%)
8
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 214
96.4%
ASCII 8
 
3.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 26
 
12.1%
아 24
 
11.2%
지 22
 
10.3%
센 22
 
10.3%
터 22
 
10.3%
역 22
 
10.3%
산 3
 
1.4%
의 3
 
1.4%
공 3
 
1.4%
강 2
 
0.9%
Other values (57) 65
30.4%
ASCII
ValueCountFrequency (%)
8
100.0%

시설유형
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
아동복지시설
22 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
아동복지시설 22
100.0%

Length

2024-04-06T19:29:10.308296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:29:10.456844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아동복지시설 22
100.0%

시설종류
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
지역아동센터
22 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지역아동센터 22
100.0%

Length

2024-04-06T19:29:10.637932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:29:10.834343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지역아동센터 22
100.0%

소재지
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-06T19:29:11.153498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length17.5
Mean length14.863636
Min length5

Characters and Unicode

Total characters327
Distinct characters49
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

Unique22 ?
Unique (%)100.0%

Sample

1st row 한천로105길 33 (번동유치원상가 3층)
2nd row 삼각산로 157 (수유동)
3rd row 삼양로118길 27 (수유동)
4th row 삼양로 246 (미아동)
5th row 한천로105길 24 201동 212호(번동201)
ValueCountFrequency (%)
수유동 4
 
6.7%
미아동 4
 
6.7%
한천로105길 2
 
3.3%
번동 2
 
3.3%
삼각산로 2
 
3.3%
삼양로118길 2
 
3.3%
삼양로 2
 
3.3%
솔샘로 2
 
3.3%
14 2
 
3.3%
미아동1층 1
 
1.7%
Other values (37) 37
61.7%
2024-04-06T19:29:11.710162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
53
16.2%
1 26
 
8.0%
로 22
 
6.7%
동 18
 
5.5%
) 17
 
5.2%
2 17
 
5.2%
( 17
 
5.2%
길 11
 
3.4%
3 11
 
3.4%
삼 10
 
3.1%
Other values (39) 125
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 140
42.8%
Decimal Number 96
29.4%
Space Separator 53
 
16.2%
Close Punctuation 17
 
5.2%
Open Punctuation 17
 
5.2%
Dash Punctuation 2
 
0.6%
Other Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 22
15.7%
동 18
12.9%
길 11
 
7.9%
삼 10
 
7.1%
양 7
 
5.0%
아 6
 
4.3%
미 6
 
4.3%
유 6
 
4.3%
수 5
 
3.6%
번 5
 
3.6%
Other values (23) 44
31.4%
Decimal Number
ValueCountFrequency (%)
1 26
27.1%
2 17
17.7%
3 11
11.5%
4 8
 
8.3%
0 8
 
8.3%
7 7
 
7.3%
5 6
 
6.2%
8 6
 
6.2%
9 4
 
4.2%
6 3
 
3.1%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 187
57.2%
Hangul 140
42.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 22
15.7%
동 18
12.9%
길 11
 
7.9%
삼 10
 
7.1%
양 7
 
5.0%
아 6
 
4.3%
미 6
 
4.3%
유 6
 
4.3%
수 5
 
3.6%
번 5
 
3.6%
Other values (23) 44
31.4%
Common
ValueCountFrequency (%)
53
28.3%
1 26
13.9%
) 17
 
9.1%
2 17
 
9.1%
( 17
 
9.1%
3 11
 
5.9%
4 8
 
4.3%
0 8
 
4.3%
7 7
 
3.7%
5 6
 
3.2%
Other values (6) 17
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 187
57.2%
Hangul 140
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
53
28.3%
1 26
13.9%
) 17
 
9.1%
2 17
 
9.1%
( 17
 
9.1%
3 11
 
5.9%
4 8
 
4.3%
0 8
 
4.3%
7 7
 
3.7%
5 6
 
3.2%
Other values (6) 17
 
9.1%
Hangul
ValueCountFrequency (%)
로 22
15.7%
동 18
12.9%
길 11
 
7.9%
삼 10
 
7.1%
양 7
 
5.0%
아 6
 
4.3%
미 6
 
4.3%
유 6
 
4.3%
수 5
 
3.6%
번 5
 
3.6%
Other values (23) 44
31.4%

전화번호
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-06T19:29:12.021334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.181818
Min length11

Characters and Unicode

Total characters246
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

Unique22 ?
Unique (%)100.0%

Sample

1st row02-987-4988
2nd row02-994-1318
3rd row070-7404-1747
4th row02-981-7891
5th row02-984-3886
ValueCountFrequency (%)
02-987-4988 1
 
4.5%
02-994-1318 1
 
4.5%
02-981-4422 1
 
4.5%
02-945-5240 1
 
4.5%
02-905-8432 1
 
4.5%
02-986-5788 1
 
4.5%
02-980-6625 1
 
4.5%
070-8833-7721 1
 
4.5%
02-994-3152 1
 
4.5%
02-903-6678 1
 
4.5%
Other values (12) 12
54.5%
2024-04-06T19:29:12.532866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 44
17.9%
0 35
14.2%
2 34
13.8%
9 31
12.6%
8 30
12.2%
1 15
 
6.1%
4 14
 
5.7%
7 13
 
5.3%
5 11
 
4.5%
6 10
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 202
82.1%
Dash Punctuation 44
 
17.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 35
17.3%
2 34
16.8%
9 31
15.3%
8 30
14.9%
1 15
7.4%
4 14
 
6.9%
7 13
 
6.4%
5 11
 
5.4%
6 10
 
5.0%
3 9
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 246
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 44
17.9%
0 35
14.2%
2 34
13.8%
9 31
12.6%
8 30
12.2%
1 15
 
6.1%
4 14
 
5.7%
7 13
 
5.3%
5 11
 
4.5%
6 10
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 246
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 44
17.9%
0 35
14.2%
2 34
13.8%
9 31
12.6%
8 30
12.2%
1 15
 
6.1%
4 14
 
5.7%
7 13
 
5.3%
5 11
 
4.5%
6 10
 
4.1%

대표자
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-06T19:29:12.849631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters66
Distinct characters42
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row박세형
2nd row임길호
3rd row이돈주
4th row김옥성
5th row김태회
ValueCountFrequency (%)
박세형 1
 
4.5%
임길호 1
 
4.5%
박정우 1
 
4.5%
안병채 1
 
4.5%
장명임 1
 
4.5%
김충성 1
 
4.5%
윤형식 1
 
4.5%
곽은아 1
 
4.5%
최윤경 1
 
4.5%
정외영 1
 
4.5%
Other values (12) 12
54.5%
2024-04-06T19:29:13.367308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 5
 
7.6%
박 4
 
6.1%
윤 4
 
6.1%
성 4
 
6.1%
영 3
 
4.5%
정 2
 
3.0%
최 2
 
3.0%
곽 2
 
3.0%
병 2
 
3.0%
희 2
 
3.0%
Other values (32) 36
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 5
 
7.6%
박 4
 
6.1%
윤 4
 
6.1%
성 4
 
6.1%
영 3
 
4.5%
정 2
 
3.0%
최 2
 
3.0%
곽 2
 
3.0%
병 2
 
3.0%
희 2
 
3.0%
Other values (32) 36
54.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 5
 
7.6%
박 4
 
6.1%
윤 4
 
6.1%
성 4
 
6.1%
영 3
 
4.5%
정 2
 
3.0%
최 2
 
3.0%
곽 2
 
3.0%
병 2
 
3.0%
희 2
 
3.0%
Other values (32) 36
54.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 5
 
7.6%
박 4
 
6.1%
윤 4
 
6.1%
성 4
 
6.1%
영 3
 
4.5%
정 2
 
3.0%
최 2
 
3.0%
곽 2
 
3.0%
병 2
 
3.0%
희 2
 
3.0%
Other values (32) 36
54.5%

시설장
Text

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-06T19:29:13.637131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters66
Distinct characters43
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)90.9%

Sample

1st row이경란
2nd row김희정
3rd row서금옥
4th row온민숙
5th row송성희
ValueCountFrequency (%)
김희정 2
 
9.1%
이경란 1
 
4.5%
박중규 1
 
4.5%
김경숙 1
 
4.5%
장명임 1
 
4.5%
이정애 1
 
4.5%
김지아 1
 
4.5%
곽은아 1
 
4.5%
최윤경 1
 
4.5%
강선미 1
 
4.5%
Other values (11) 11
50.0%
2024-04-06T19:29:14.128473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 5
 
7.6%
정 5
 
7.6%
이 5
 
7.6%
희 4
 
6.1%
경 4
 
6.1%
숙 2
 
3.0%
윤 2
 
3.0%
아 2
 
3.0%
성 2
 
3.0%
옥 2
 
3.0%
Other values (33) 33
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 5
 
7.6%
정 5
 
7.6%
이 5
 
7.6%
희 4
 
6.1%
경 4
 
6.1%
숙 2
 
3.0%
윤 2
 
3.0%
아 2
 
3.0%
성 2
 
3.0%
옥 2
 
3.0%
Other values (33) 33
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 5
 
7.6%
정 5
 
7.6%
이 5
 
7.6%
희 4
 
6.1%
경 4
 
6.1%
숙 2
 
3.0%
윤 2
 
3.0%
아 2
 
3.0%
성 2
 
3.0%
옥 2
 
3.0%
Other values (33) 33
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 5
 
7.6%
정 5
 
7.6%
이 5
 
7.6%
희 4
 
6.1%
경 4
 
6.1%
숙 2
 
3.0%
윤 2
 
3.0%
아 2
 
3.0%
성 2
 
3.0%
옥 2
 
3.0%
Other values (33) 33
50.0%

시설전화
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-06T19:29:14.452456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.181818
Min length11

Characters and Unicode

Total characters246
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

Unique22 ?
Unique (%)100.0%

Sample

1st row02-987-4988
2nd row02-994-1318
3rd row070-7404-1747
4th row02-981-7891
5th row02-984-3886
ValueCountFrequency (%)
02-987-4988 1
 
4.5%
02-994-1318 1
 
4.5%
02-981-4422 1
 
4.5%
02-945-5240 1
 
4.5%
02-905-8432 1
 
4.5%
02-986-5788 1
 
4.5%
02-980-6625 1
 
4.5%
070-8833-7721 1
 
4.5%
02-994-3152 1
 
4.5%
02-903-6678 1
 
4.5%
Other values (12) 12
54.5%
2024-04-06T19:29:14.984532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 44
17.9%
0 35
14.2%
2 34
13.8%
9 31
12.6%
8 30
12.2%
1 15
 
6.1%
4 14
 
5.7%
7 13
 
5.3%
5 11
 
4.5%
6 10
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 202
82.1%
Dash Punctuation 44
 
17.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 35
17.3%
2 34
16.8%
9 31
15.3%
8 30
14.9%
1 15
7.4%
4 14
 
6.9%
7 13
 
6.4%
5 11
 
5.4%
6 10
 
5.0%
3 9
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 246
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 44
17.9%
0 35
14.2%
2 34
13.8%
9 31
12.6%
8 30
12.2%
1 15
 
6.1%
4 14
 
5.7%
7 13
 
5.3%
5 11
 
4.5%
6 10
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 246
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 44
17.9%
0 35
14.2%
2 34
13.8%
9 31
12.6%
8 30
12.2%
1 15
 
6.1%
4 14
 
5.7%
7 13
 
5.3%
5 11
 
4.5%
6 10
 
4.1%

정원
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)31.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.681818
Minimum19
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-06T19:29:15.195665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile19
Q119
median19
Q329
95-th percentile38.8
Maximum40
Range21
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.4984847
Coefficient of variation (CV)0.30380601
Kurtosis-0.79863395
Mean24.681818
Median Absolute Deviation (MAD)0
Skewness0.84069185
Sum543
Variance56.227273
MonotonicityNot monotonic
2024-04-06T19:29:15.350375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
19 13
59.1%
29 4
 
18.2%
39 1
 
4.5%
35 1
 
4.5%
34 1
 
4.5%
40 1
 
4.5%
32 1
 
4.5%
ValueCountFrequency (%)
19 13
59.1%
29 4
 
18.2%
32 1
 
4.5%
34 1
 
4.5%
35 1
 
4.5%
39 1
 
4.5%
40 1
 
4.5%
ValueCountFrequency (%)
40 1
 
4.5%
39 1
 
4.5%
35 1
 
4.5%
34 1
 
4.5%
32 1
 
4.5%
29 4
 
18.2%
19 13
59.1%

이용아동
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.181818
Minimum15
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-06T19:29:15.547366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile15
Q118.25
median23
Q325.75
95-th percentile34.95
Maximum37
Range22
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation6.6593033
Coefficient of variation (CV)0.28726406
Kurtosis-0.42390649
Mean23.181818
Median Absolute Deviation (MAD)4.5
Skewness0.70982833
Sum510
Variance44.34632
MonotonicityNot monotonic
2024-04-06T19:29:15.729495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
15 3
13.6%
23 3
13.6%
19 2
9.1%
20 2
9.1%
17 2
9.1%
24 2
9.1%
37 1
 
4.5%
18 1
 
4.5%
29 1
 
4.5%
34 1
 
4.5%
Other values (4) 4
18.2%
ValueCountFrequency (%)
15 3
13.6%
17 2
9.1%
18 1
 
4.5%
19 2
9.1%
20 2
9.1%
23 3
13.6%
24 2
9.1%
25 1
 
4.5%
26 1
 
4.5%
29 1
 
4.5%
ValueCountFrequency (%)
37 1
 
4.5%
35 1
 
4.5%
34 1
 
4.5%
32 1
 
4.5%
29 1
 
4.5%
26 1
 
4.5%
25 1
 
4.5%
24 2
9.1%
23 3
13.6%
20 2
9.1%

신고일자
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20073431
Minimum19900610
Maximum20141002
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-06T19:29:15.909693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19900610
5-th percentile19982297
Q120050454
median20090308
Q320111045
95-th percentile20130606
Maximum20141002
Range240392
Interquartile range (IQR)60591.5

Descriptive statistics

Standard deviation55859.865
Coefficient of variation (CV)0.0027827762
Kurtosis3.249844
Mean20073431
Median Absolute Deviation (MAD)30452.5
Skewness-1.5798389
Sum4.4161548 × 108
Variance3.1203245 × 109
MonotonicityNot monotonic
2024-04-06T19:29:16.140871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
20050303 1
 
4.5%
20090626 1
 
4.5%
20141002 1
 
4.5%
20131101 1
 
4.5%
20121205 1
 
4.5%
20120919 1
 
4.5%
20120601 1
 
4.5%
20111125 1
 
4.5%
20110805 1
 
4.5%
20110801 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
19900610 1
4.5%
19980301 1
4.5%
20020220 1
4.5%
20031115 1
4.5%
20040730 1
4.5%
20050303 1
4.5%
20050905 1
4.5%
20060827 1
4.5%
20070320 1
4.5%
20080630 1
4.5%
ValueCountFrequency (%)
20141002 1
4.5%
20131101 1
4.5%
20121205 1
4.5%
20120919 1
4.5%
20120601 1
4.5%
20111125 1
4.5%
20110805 1
4.5%
20110801 1
4.5%
20090717 1
4.5%
20090626 1
4.5%

영업상태
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
운영
22 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영 22
100.0%

Length

2024-04-06T19:29:16.346766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:29:16.527190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영 22
100.0%

특성운영
Categorical

Distinct4
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
14 
토요운영
5 
특수목적/토요운영
2 
2019.12.31.폐업
 
1

Length

Max length13
Median length4
Mean length4.8636364
Min length4

Unique

Unique1 ?
Unique (%)4.5%

Sample

1st row<NA>
2nd row토요운영
3rd row<NA>
4th row<NA>
5th row토요운영

Common Values

ValueCountFrequency (%)
<NA> 14
63.6%
토요운영 5
 
22.7%
특수목적/토요운영 2
 
9.1%
2019.12.31.폐업 1
 
4.5%

Length

2024-04-06T19:29:16.693763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:29:16.879781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 14
63.6%
토요운영 5
 
22.7%
특수목적/토요운영 2
 
9.1%
2019.12.31.폐업 1
 
4.5%

Interactions

2024-04-06T19:29:06.697267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:29:05.978045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:29:06.338268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:29:06.830154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:29:06.084294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:29:06.456222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:29:06.965901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:29:06.205035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:29:06.577911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T19:29:17.019991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설신고번호시설명소재지전화번호대표자시설장시설전화정원이용아동신고일자특성운영
연번1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시설신고번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시설장1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.8741.000
시설전화1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
정원1.0001.0001.0001.0001.0001.0001.0001.0001.0000.9840.0000.000
이용아동1.0001.0001.0001.0001.0001.0001.0001.0000.9841.0000.0000.000
신고일자1.0001.0001.0001.0001.0001.0000.8741.0000.0000.0001.0000.323
특성운영1.0001.0001.0001.0001.0001.0001.0001.0000.0000.0000.3231.000
2024-04-06T19:29:17.198188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정원이용아동신고일자특성운영
정원1.0000.7850.1830.000
이용아동0.7851.0000.2590.000
신고일자0.1830.2591.0000.271
특성운영0.0000.0000.2711.000

Missing values

2024-04-06T19:29:07.199345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T19:29:07.523913image/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

연번시설신고번호시설명시설유형시설종류소재지전화번호대표자시설장시설전화정원이용아동신고일자영업상태특성운영
0120050303-006지역아동센터 사랑의공부방아동복지시설지역아동센터한천로105길 33 (번동유치원상가 3층)02-987-4988박세형이경란02-987-4988191920050303운영<NA>
1220200101-001나욧지역아동센터아동복지시설지역아동센터삼각산로 157 (수유동)02-994-1318임길호김희정02-994-1318393720031115운영토요운영
2320050922-010강북지역아동센터아동복지시설지역아동센터삼양로118길 27 (수유동)070-7404-1747이돈주서금옥070-7404-1747191520050905운영<NA>
3420070320-013하늘씨앗지역아동센터아동복지시설지역아동센터삼양로 246 (미아동)02-981-7891김옥성온민숙02-981-7891192020070320운영<NA>
4520071023-001삼동지역아동센터아동복지시설지역아동센터한천로105길 24 201동 212호(번동201)02-984-3886김태회송성희02-984-3886191819980301운영토요운영
5620071120-001성심중앙지역아동센터아동복지시설지역아동센터삼양로117길 58 (수유동)02-993-0191김병열나석준02-993-0191192320040730운영<NA>
6720071120-002송중동지역아동센터아동복지시설지역아동센터오패산로31길 1402-988-1255윤주영윤주영02-988-1255191720060827운영<NA>
7(삭제)820071226-015옹달샘지역아동센터아동복지시설지역아동센터삼각산로 98 (수유동)02-991-2458신종국신종국02-991-2458191520020220운영2019.12.31.폐업
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