Overview

Dataset statistics

Number of variables15
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory126.0 B

Variable types

Unsupported4
Text7
Categorical4

Dataset

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

Alerts

Unnamed: 3 is highly overall correlated with Unnamed: 14High correlation
Unnamed: 4 is highly overall correlated with Unnamed: 14High correlation
Unnamed: 13 is highly overall correlated with Unnamed: 14High correlation
Unnamed: 14 is highly overall correlated with Unnamed: 3 and 2 other fieldsHigh correlation
Unnamed: 3 is highly imbalanced (73.3%)Imbalance
Unnamed: 4 is highly imbalanced (73.3%)Imbalance
Unnamed: 13 is highly imbalanced (73.3%)Imbalance
Unnamed: 1 has unique valuesUnique
Unnamed: 2 has unique valuesUnique
Unnamed: 5 has unique valuesUnique
Unnamed: 6 has unique valuesUnique
Unnamed: 7 has unique valuesUnique
Unnamed: 8 has unique valuesUnique
지역아동센터 운영현황 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 10 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 11 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 12 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-06 10:29:20.407292
Analysis finished2024-04-06 10:29:21.696104
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역아동센터 운영현황
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size308.0 B

Unnamed: 1
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-06T19:29:21.939255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.772727
Min length7

Characters and Unicode

Total characters259
Distinct characters18
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 row시설 신고번호
2nd row20050303-006
3rd row20050729-008
4th row20050922-010
5th row20070320-013
ValueCountFrequency (%)
시설 1
 
4.3%
20090301-001 1
 
4.3%
20121205-001 1
 
4.3%
20120919-001 1
 
4.3%
20120601-001 1
 
4.3%
20111125-001 1
 
4.3%
20110805-001 1
 
4.3%
20110801-001 1
 
4.3%
20090717-001 1
 
4.3%
20090626-001 1
 
4.3%
Other values (13) 13
56.5%
2024-04-06T19:29:22.456553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 101
39.0%
1 48
18.5%
2 37
 
14.3%
- 21
 
8.1%
3 9
 
3.5%
9 8
 
3.1%
7 8
 
3.1%
5 7
 
2.7%
6 7
 
2.7%
8 5
 
1.9%
Other values (8) 8
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 231
89.2%
Dash Punctuation 21
 
8.1%
Other Letter 6
 
2.3%
Control 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 101
43.7%
1 48
20.8%
2 37
 
16.0%
3 9
 
3.9%
9 8
 
3.5%
7 8
 
3.5%
5 7
 
3.0%
6 7
 
3.0%
8 5
 
2.2%
4 1
 
0.4%
Other Letter
ValueCountFrequency (%)
시 1
16.7%
설 1
16.7%
호 1
16.7%
번 1
16.7%
고 1
16.7%
신 1
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 253
97.7%
Hangul 6
 
2.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 101
39.9%
1 48
19.0%
2 37
 
14.6%
- 21
 
8.3%
3 9
 
3.6%
9 8
 
3.2%
7 8
 
3.2%
5 7
 
2.8%
6 7
 
2.8%
8 5
 
2.0%
Other values (2) 2
 
0.8%
Hangul
ValueCountFrequency (%)
시 1
16.7%
설 1
16.7%
호 1
16.7%
번 1
16.7%
고 1
16.7%
신 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 253
97.7%
Hangul 6
 
2.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 101
39.9%
1 48
19.0%
2 37
 
14.6%
- 21
 
8.3%
3 9
 
3.6%
9 8
 
3.2%
7 8
 
3.2%
5 7
 
2.8%
6 7
 
2.8%
8 5
 
2.0%
Other values (2) 2
 
0.8%
Hangul
ValueCountFrequency (%)
시 1
16.7%
설 1
16.7%
호 1
16.7%
번 1
16.7%
고 1
16.7%
신 1
16.7%

Unnamed: 2
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-06T19:29:22.779248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length10.181818
Min length3

Characters and Unicode

Total characters224
Distinct characters73
Distinct categories3 ?
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 row시설명
2nd row지역아동센터 사랑의공부방
3rd row나욧아카데미 지역아동센터
4th row강북지역아동센터
5th row하늘씨앗 지역아동센터
ValueCountFrequency (%)
지역아동센터 14
35.9%
시설명 1
 
2.6%
동산비젼스쿨 1
 
2.6%
산지역아동센터 1
 
2.6%
사랑의 1
 
2.6%
우리지역아동센터 1
 
2.6%
꾸러기지역아동센터 1
 
2.6%
독립문지역아동센터 1
 
2.6%
작은학교 1
 
2.6%
속 1
 
2.6%
Other values (16) 16
41.0%
2024-04-06T19:29:23.301733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 23
 
10.3%
동 23
 
10.3%
지 20
 
8.9%
역 20
 
8.9%
센 20
 
8.9%
터 20
 
8.9%
14
 
6.2%
6
 
2.7%
산 3
 
1.3%
의 3
 
1.3%
Other values (63) 72
32.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 204
91.1%
Control 14
 
6.2%
Space Separator 6
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 23
 
11.3%
동 23
 
11.3%
지 20
 
9.8%
역 20
 
9.8%
센 20
 
9.8%
터 20
 
9.8%
산 3
 
1.5%
의 3
 
1.5%
방 2
 
1.0%
카 2
 
1.0%
Other values (61) 68
33.3%
Control
ValueCountFrequency (%)
14
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 204
91.1%
Common 20
 
8.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 23
 
11.3%
동 23
 
11.3%
지 20
 
9.8%
역 20
 
9.8%
센 20
 
9.8%
터 20
 
9.8%
산 3
 
1.5%
의 3
 
1.5%
방 2
 
1.0%
카 2
 
1.0%
Other values (61) 68
33.3%
Common
ValueCountFrequency (%)
14
70.0%
6
30.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 204
91.1%
ASCII 20
 
8.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 23
 
11.3%
동 23
 
11.3%
지 20
 
9.8%
역 20
 
9.8%
센 20
 
9.8%
터 20
 
9.8%
산 3
 
1.5%
의 3
 
1.5%
방 2
 
1.0%
카 2
 
1.0%
Other values (61) 68
33.3%
ASCII
ValueCountFrequency (%)
14
70.0%
6
30.0%

Unnamed: 3
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
아동복지시설
21 
시설유형
 
1

Length

Max length6
Median length6
Mean length5.9090909
Min length4

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
아동복지시설 21
95.5%
시설유형 1
 
4.5%

Length

2024-04-06T19:29:23.537567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:29:23.689598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아동복지시설 21
95.5%
시설유형 1
 
4.5%

Unnamed: 4
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
지역아동센터
21 
시설종류
 
1

Length

Max length6
Median length6
Mean length5.9090909
Min length4

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
지역아동센터 21
95.5%
시설종류 1
 
4.5%

Length

2024-04-06T19:29:23.867105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:29:24.083765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지역아동센터 21
95.5%
시설종류 1
 
4.5%

Unnamed: 5
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-06T19:29:24.357878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length15.954545
Min length3

Characters and Unicode

Total characters351
Distinct characters54
Distinct categories8 ?
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 row소재지
2nd row 한천로105길 33 (번동,유치원상가 3층)
3rd row 삼각산로 157 (수유동)
4th row 삼양로118길 27 (수유동)
5th row 삼양로 246 (미아동)
ValueCountFrequency (%)
수유동 8
 
12.1%
미아동 5
 
7.6%
번동 3
 
4.5%
한천로105길 2
 
3.0%
솔샘로 2
 
3.0%
삼양로 2
 
3.0%
24 2
 
3.0%
삼각산로 2
 
3.0%
48호 1
 
1.5%
7 1
 
1.5%
Other values (38) 38
57.6%
2024-04-06T19:29:24.962602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
65
18.5%
동 22
 
6.3%
2 20
 
5.7%
1 19
 
5.4%
로 18
 
5.1%
( 18
 
5.1%
) 18
 
5.1%
길 11
 
3.1%
0 10
 
2.8%
7 9
 
2.6%
Other values (44) 141
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 146
41.6%
Decimal Number 95
27.1%
Space Separator 65
18.5%
Open Punctuation 18
 
5.1%
Close Punctuation 18
 
5.1%
Other Punctuation 6
 
1.7%
Control 2
 
0.6%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 22
15.1%
로 18
12.3%
길 11
 
7.5%
유 9
 
6.2%
번 8
 
5.5%
수 8
 
5.5%
삼 8
 
5.5%
미 6
 
4.1%
아 6
 
4.1%
양 6
 
4.1%
Other values (28) 44
30.1%
Decimal Number
ValueCountFrequency (%)
2 20
21.1%
1 19
20.0%
0 10
10.5%
7 9
9.5%
4 9
9.5%
3 9
9.5%
8 7
 
7.4%
5 5
 
5.3%
9 5
 
5.3%
6 2
 
2.1%
Space Separator
ValueCountFrequency (%)
65
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Control
ValueCountFrequency (%)
2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 205
58.4%
Hangul 146
41.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 22
15.1%
로 18
12.3%
길 11
 
7.5%
유 9
 
6.2%
번 8
 
5.5%
수 8
 
5.5%
삼 8
 
5.5%
미 6
 
4.1%
아 6
 
4.1%
양 6
 
4.1%
Other values (28) 44
30.1%
Common
ValueCountFrequency (%)
65
31.7%
2 20
 
9.8%
1 19
 
9.3%
( 18
 
8.8%
) 18
 
8.8%
0 10
 
4.9%
7 9
 
4.4%
4 9
 
4.4%
3 9
 
4.4%
8 7
 
3.4%
Other values (6) 21
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 205
58.4%
Hangul 146
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
65
31.7%
2 20
 
9.8%
1 19
 
9.3%
( 18
 
8.8%
) 18
 
8.8%
0 10
 
4.9%
7 9
 
4.4%
4 9
 
4.4%
3 9
 
4.4%
8 7
 
3.4%
Other values (6) 21
 
10.2%
Hangul
ValueCountFrequency (%)
동 22
15.1%
로 18
12.3%
길 11
 
7.5%
유 9
 
6.2%
번 8
 
5.5%
수 8
 
5.5%
삼 8
 
5.5%
미 6
 
4.1%
아 6
 
4.1%
양 6
 
4.1%
Other values (28) 44
30.1%

Unnamed: 6
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-06T19:29:25.305995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.909091
Min length4

Characters and Unicode

Total characters240
Distinct characters15
Distinct categories3 ?
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 row전화번호
2nd row02-987-4988
3rd row02-6497-1318
4th row070-7404-1747
5th row02-981-7891
ValueCountFrequency (%)
전화번호 1
 
4.5%
02-987-4988 1
 
4.5%
02-984-0504 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%
02-918-0865 1
 
4.5%
Other values (12) 12
54.5%
2024-04-06T19:29:25.800730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 42
17.5%
0 34
14.2%
2 32
13.3%
8 30
12.5%
9 26
10.8%
7 15
 
6.2%
4 15
 
6.2%
1 12
 
5.0%
6 11
 
4.6%
5 11
 
4.6%
Other values (5) 12
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 194
80.8%
Dash Punctuation 42
 
17.5%
Other Letter 4
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 34
17.5%
2 32
16.5%
8 30
15.5%
9 26
13.4%
7 15
7.7%
4 15
7.7%
1 12
 
6.2%
6 11
 
5.7%
5 11
 
5.7%
3 8
 
4.1%
Other Letter
ValueCountFrequency (%)
전 1
25.0%
화 1
25.0%
번 1
25.0%
호 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 236
98.3%
Hangul 4
 
1.7%

Most frequent character per script

Common
ValueCountFrequency (%)
- 42
17.8%
0 34
14.4%
2 32
13.6%
8 30
12.7%
9 26
11.0%
7 15
 
6.4%
4 15
 
6.4%
1 12
 
5.1%
6 11
 
4.7%
5 11
 
4.7%
Hangul
ValueCountFrequency (%)
전 1
25.0%
화 1
25.0%
번 1
25.0%
호 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 236
98.3%
Hangul 4
 
1.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 42
17.8%
0 34
14.4%
2 32
13.6%
8 30
12.7%
9 26
11.0%
7 15
 
6.4%
4 15
 
6.4%
1 12
 
5.1%
6 11
 
4.7%
5 11
 
4.7%
Hangul
ValueCountFrequency (%)
전 1
25.0%
화 1
25.0%
번 1
25.0%
호 1
25.0%

Unnamed: 7
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-06T19:29:26.112114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters66
Distinct characters44
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 row대표자
2nd row박세형
3rd row임길호
4th row이돈주
5th row김옥성
ValueCountFrequency (%)
대표자 1
 
4.5%
박세형 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%
이성희 1
 
4.5%
Other values (12) 12
54.5%
2024-04-06T19:29:26.629921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 5
 
7.6%
성 4
 
6.1%
영 3
 
4.5%
박 3
 
4.5%
윤 3
 
4.5%
이 3
 
4.5%
정 2
 
3.0%
채 2
 
3.0%
형 2
 
3.0%
임 2
 
3.0%
Other values (34) 37
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 5
 
7.6%
성 4
 
6.1%
영 3
 
4.5%
박 3
 
4.5%
윤 3
 
4.5%
이 3
 
4.5%
정 2
 
3.0%
채 2
 
3.0%
형 2
 
3.0%
임 2
 
3.0%
Other values (34) 37
56.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 5
 
7.6%
성 4
 
6.1%
영 3
 
4.5%
박 3
 
4.5%
윤 3
 
4.5%
이 3
 
4.5%
정 2
 
3.0%
채 2
 
3.0%
형 2
 
3.0%
임 2
 
3.0%
Other values (34) 37
56.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 5
 
7.6%
성 4
 
6.1%
영 3
 
4.5%
박 3
 
4.5%
윤 3
 
4.5%
이 3
 
4.5%
정 2
 
3.0%
채 2
 
3.0%
형 2
 
3.0%
임 2
 
3.0%
Other values (34) 37
56.1%

Unnamed: 8
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-06T19:29:26.976230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters66
Distinct characters46
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 row시설장
2nd row이경란
3rd row김희정
4th row서금옥
5th row온민숙
ValueCountFrequency (%)
시설장 1
 
4.5%
이경란 1
 
4.5%
엄경희 1
 
4.5%
장명임 1
 
4.5%
이정림 1
 
4.5%
이정연 1
 
4.5%
곽은아 1
 
4.5%
최윤경 1
 
4.5%
강선미 1
 
4.5%
이성희 1
 
4.5%
Other values (12) 12
54.5%
2024-04-06T19:29:27.618230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 5
 
7.6%
경 5
 
7.6%
정 4
 
6.1%
희 4
 
6.1%
옥 3
 
4.5%
윤 2
 
3.0%
최 2
 
3.0%
김 2
 
3.0%
장 2
 
3.0%
선 1
 
1.5%
Other values (36) 36
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 5
 
7.6%
경 5
 
7.6%
정 4
 
6.1%
희 4
 
6.1%
옥 3
 
4.5%
윤 2
 
3.0%
최 2
 
3.0%
김 2
 
3.0%
장 2
 
3.0%
선 1
 
1.5%
Other values (36) 36
54.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 5
 
7.6%
경 5
 
7.6%
정 4
 
6.1%
희 4
 
6.1%
옥 3
 
4.5%
윤 2
 
3.0%
최 2
 
3.0%
김 2
 
3.0%
장 2
 
3.0%
선 1
 
1.5%
Other values (36) 36
54.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 5
 
7.6%
경 5
 
7.6%
정 4
 
6.1%
희 4
 
6.1%
옥 3
 
4.5%
윤 2
 
3.0%
최 2
 
3.0%
김 2
 
3.0%
장 2
 
3.0%
선 1
 
1.5%
Other values (36) 36
54.5%

Unnamed: 9
Text

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-06T19:29:27.938545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.954545
Min length4

Characters and Unicode

Total characters241
Distinct characters15
Distinct categories3 ?
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 (%)90.9%

Sample

1st row시설전화
2nd row070-7404-1747
3rd row02-994-1318
4th row070-7404-1747
5th row02-981-7891
ValueCountFrequency (%)
070-7404-1747 2
 
9.1%
시설전화 1
 
4.5%
02-998-5621 1
 
4.5%
02-988-0934 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 (11) 11
50.0%
2024-04-06T19:29:28.515212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 42
17.4%
0 33
13.7%
2 31
12.9%
8 29
12.0%
9 28
11.6%
7 15
 
6.2%
4 15
 
6.2%
1 14
 
5.8%
6 12
 
5.0%
3 9
 
3.7%
Other values (5) 13
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 195
80.9%
Dash Punctuation 42
 
17.4%
Other Letter 4
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 33
16.9%
2 31
15.9%
8 29
14.9%
9 28
14.4%
7 15
7.7%
4 15
7.7%
1 14
7.2%
6 12
 
6.2%
3 9
 
4.6%
5 9
 
4.6%
Other Letter
ValueCountFrequency (%)
시 1
25.0%
설 1
25.0%
전 1
25.0%
화 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 237
98.3%
Hangul 4
 
1.7%

Most frequent character per script

Common
ValueCountFrequency (%)
- 42
17.7%
0 33
13.9%
2 31
13.1%
8 29
12.2%
9 28
11.8%
7 15
 
6.3%
4 15
 
6.3%
1 14
 
5.9%
6 12
 
5.1%
3 9
 
3.8%
Hangul
ValueCountFrequency (%)
시 1
25.0%
설 1
25.0%
전 1
25.0%
화 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 237
98.3%
Hangul 4
 
1.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 42
17.7%
0 33
13.9%
2 31
13.1%
8 29
12.2%
9 28
11.8%
7 15
 
6.3%
4 15
 
6.3%
1 14
 
5.9%
6 12
 
5.1%
3 9
 
3.8%
Hangul
ValueCountFrequency (%)
시 1
25.0%
설 1
25.0%
전 1
25.0%
화 1
25.0%

Unnamed: 10
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size308.0 B

Unnamed: 11
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size308.0 B

Unnamed: 12
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size308.0 B

Unnamed: 13
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
운영
21 
영업상태
 
1

Length

Max length4
Median length2
Mean length2.0909091
Min length2

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
운영 21
95.5%
영업상태 1
 
4.5%

Length

2024-04-06T19:29:28.775357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:29:29.008009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영 21
95.5%
영업상태 1
 
4.5%

Unnamed: 14
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
12 
토요운영
6 
토요운영 특수목적
2 
특성운영
 
1
토요운영 거점형
 
1

Length

Max length9
Median length4
Mean length4.6363636
Min length4

Unique

Unique2 ?
Unique (%)9.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 12
54.5%
토요운영 6
27.3%
토요운영 특수목적 2
 
9.1%
특성운영 1
 
4.5%
토요운영 거점형 1
 
4.5%

Length

2024-04-06T19:29:29.237771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:29:29.468490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 12
48.0%
토요운영 9
36.0%
특수목적 2
 
8.0%
특성운영 1
 
4.0%
거점형 1
 
4.0%

Correlations

2024-04-06T19:29:29.641308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 13Unnamed: 14
Unnamed: 11.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 21.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 31.0001.0001.0000.6321.0001.0001.0001.0001.0000.6321.000
Unnamed: 41.0001.0000.6321.0001.0001.0001.0001.0001.0000.6321.000
Unnamed: 51.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 61.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 71.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 81.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 91.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 131.0001.0000.6320.6321.0001.0001.0001.0001.0001.0001.000
Unnamed: 141.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-04-06T19:29:29.887439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 3Unnamed: 4Unnamed: 13Unnamed: 14
Unnamed: 31.0000.4340.4340.866
Unnamed: 40.4341.0000.4340.866
Unnamed: 130.4340.4341.0000.866
Unnamed: 140.8660.8660.8661.000
2024-04-06T19:29:30.050617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 3Unnamed: 4Unnamed: 13Unnamed: 14
Unnamed: 31.0000.4340.4340.866
Unnamed: 40.4341.0000.4340.866
Unnamed: 130.4340.4341.0000.866
Unnamed: 140.8660.8660.8661.000

Missing values

2024-04-06T19:29:21.187375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T19:29:21.577392image/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

지역아동센터 운영현황Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14
0연번시설 신고번호시설명시설유형시설종류소재지전화번호대표자시설장시설전화정원이용\n아동신고일자영업상태특성운영
1120050303-006지역아동센터 사랑의공부방아동복지시설지역아동센터한천로105길 33 (번동,유치원상가 3층)02-987-4988박세형이경란070-7404-1747292420050303운영<NA>
2220050729-008나욧아카데미 지역아동센터아동복지시설지역아동센터삼각산로 157 (수유동)02-6497-1318임길호김희정02-994-1318393720031115운영토요운영
3320050922-010강북지역아동센터아동복지시설지역아동센터삼양로118길 27 (수유동)070-7404-1747이돈주서금옥070-7404-1747191520050905운영토요운영
4420070320-013하늘씨앗 지역아동센터아동복지시설지역아동센터삼양로 246 (미아동)02-981-7891김옥성온민숙02-981-7891192020070320운영<NA>
5520071023-001삼동 지역아동센터아동복지시설지역아동센터한천로105길 24, 201동 212호(번동,201)02-984-3886김태회옥수복02-984-3886191819980301운영토요운영
6620071120-001성심중앙 지역아동센터아동복지시설지역아동센터삼양로117길 58 (수유동)02-900-4577김병열김병열02-998-1669192320040730운영<NA>
7720071120-002비타민 지역아동센터아동복지시설지역아동센터월계로7나길 24 (미아동)02-988-1255윤주영윤주영02-988-1255191720060827운영토요운영 거점형
8820071226-015옹달샘 지역아동센터아동복지시설지역아동센터삼각산로 98 (수유동)02-991-2458신종국신종국02-991-2458191520020220운영<NA>
9920080110-016돌산공부방 지역아동센터아동복지시설지역아동센터솔샘로 272 (미아동)02-986-2882김성훈이현정02-986-2882293119900610운영토요운영 특수목적
지역아동센터 운영현황Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14
121220090314-001서라벌아카데미 지역아동센터아동복지시설지역아동센터삼양로 617 (우이동)02-998-5621박중규박중규02-998-5621343420090314운영토요운영
131320090626-001으뜸지역아동센터아동복지시설지역아동센터수유동 280-2902-918-0865이성희이성희02-918-0865191920090626운영토요운영 특수목적
141420090717-001마을 속 작은학교아동복지시설지역아동센터노해로23길 32 (수유동)02-903-6678정외영강선미02-903-6678292320090717운영<NA>
151520110801-001독립문지역아동센터아동복지시설지역아동센터덕릉로40길 14 (번동,3층)02-994-3152최윤경최윤경02-994-3152192620110801운영<NA>
161620110805-001꾸러기지역아동센터아동복지시설지역아동센터도봉로28나길 7 (미아동,1층)070-8833-7721곽은아곽은아070-8833-7721192020110805운영<NA>
171720111125-001우리지역아동센터아동복지시설지역아동센터오현로31길 21, 2층 (번동)02-980-6625윤형식이정연02-980-6625191920111125운영<NA>
181820120601-001사랑의 지역아동센터아동복지시설지역아동센터삼양로20길 53 (미아동)02-986-5788김충성이정림02-986-5788192420120601운영<NA>
191920120919-001산지역아동센터아동복지시설지역아동센터수유동 410번지 48호02-905-8432장명임장명임02-905-8432191720120919운영토요운영
202020121205-001동산비젼스쿨 지역아동센터아동복지시설지역아동센터번동 148번지 309호02-984-0504안병채엄경희02-988-0934292520121205운영<NA>
212120131101-001희망의집 지역아동센터아동복지시설지역아동센터삼양로79길 20 (수유동)02-981-4422이정희최경희02-981-4422403520131101운영<NA>