Overview

Dataset statistics

Number of variables4
Number of observations40
Missing cells19
Missing cells (%)11.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory35.3 B

Variable types

Categorical1
Text3

Dataset

Description경기도 부천시 관내의 유원시설 현황 데이터로 영업종류, 시설명, 소재지(도로명), 전화번호 등의 자료를 제공합니다.
Author경기도 부천시
URLhttps://www.data.go.kr/data/15090571/fileData.do

Alerts

영업종류 is highly imbalanced (78.8%)Imbalance
전화번호 has 19 (47.5%) missing valuesMissing
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:50:11.753141
Analysis finished2023-12-12 00:50:12.203472
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

영업종류
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
기타유원시설업
38 
일반유원시설업
 
1
종합유원시설업
 
1

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique2 ?
Unique (%)5.0%

Sample

1st row일반유원시설업
2nd row기타유원시설업
3rd row기타유원시설업
4th row기타유원시설업
5th row기타유원시설업

Common Values

ValueCountFrequency (%)
기타유원시설업 38
95.0%
일반유원시설업 1
 
2.5%
종합유원시설업 1
 
2.5%

Length

2023-12-12T09:50:12.291131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:50:12.429896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타유원시설업 38
95.0%
일반유원시설업 1
 
2.5%
종합유원시설업 1
 
2.5%

시설명
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-12T09:50:12.678061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length8.575
Min length2

Characters and Unicode

Total characters343
Distinct characters117
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)100.0%

Sample

1st row부천디스코팡팡
2nd row짱오락실
3rd row노리파크 부천역곡점
4th row키즈인러브
5th row대산(키즈카페 놀자)
ValueCountFrequency (%)
부천점 3
 
5.1%
주)키즈맥스 2
 
3.4%
웅진플레이도시 2
 
3.4%
노리파크 2
 
3.4%
점핑몬스터 2
 
3.4%
상동점 2
 
3.4%
큐리키즈카페 2
 
3.4%
맘스앤키즈카페 1
 
1.7%
키즈플레이 1
 
1.7%
소사본동점 1
 
1.7%
Other values (41) 41
69.5%
2023-12-12T09:50:13.063070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 20
 
5.8%
19
 
5.5%
키 18
 
5.2%
즈 18
 
5.2%
) 10
 
2.9%
( 10
 
2.9%
페 8
 
2.3%
이 8
 
2.3%
카 8
 
2.3%
방 8
 
2.3%
Other values (107) 216
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 300
87.5%
Space Separator 19
 
5.5%
Close Punctuation 10
 
2.9%
Open Punctuation 10
 
2.9%
Lowercase Letter 4
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 20
 
6.7%
키 18
 
6.0%
즈 18
 
6.0%
페 8
 
2.7%
이 8
 
2.7%
카 8
 
2.7%
방 8
 
2.7%
리 7
 
2.3%
부 7
 
2.3%
동 7
 
2.3%
Other values (102) 191
63.7%
Lowercase Letter
ValueCountFrequency (%)
i 2
50.0%
k 2
50.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 300
87.5%
Common 39
 
11.4%
Latin 4
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 20
 
6.7%
키 18
 
6.0%
즈 18
 
6.0%
페 8
 
2.7%
이 8
 
2.7%
카 8
 
2.7%
방 8
 
2.7%
리 7
 
2.3%
부 7
 
2.3%
동 7
 
2.3%
Other values (102) 191
63.7%
Common
ValueCountFrequency (%)
19
48.7%
) 10
25.6%
( 10
25.6%
Latin
ValueCountFrequency (%)
i 2
50.0%
k 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 300
87.5%
ASCII 43
 
12.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 20
 
6.7%
키 18
 
6.0%
즈 18
 
6.0%
페 8
 
2.7%
이 8
 
2.7%
카 8
 
2.7%
방 8
 
2.7%
리 7
 
2.3%
부 7
 
2.3%
동 7
 
2.3%
Other values (102) 191
63.7%
ASCII
ValueCountFrequency (%)
19
44.2%
) 10
23.3%
( 10
23.3%
i 2
 
4.7%
k 2
 
4.7%

소재지(도로명)
Text

Distinct38
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-12T09:50:13.330999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length33.225
Min length18

Characters and Unicode

Total characters1329
Distinct characters130
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)92.5%

Sample

1st row경기도 부천시 부천로 11. 해태쇼핑 1층 109.110.111호 (심곡동)
2nd row경기도 부천시 부일로 460. 시네마존 106. 202. 203호 (심곡동)
3rd row경기도 부천시 역곡로13번길 49. 금강빌딩 4층 (역곡동)
4th row경기도 부천시 원미로124번길 6-18. 3층 (원미동)
5th row경기도 부천시 지봉로 46. 백호빌딩 3층 (역곡동)
ValueCountFrequency (%)
경기도 40
 
14.3%
부천시 40
 
14.3%
상동 17
 
6.1%
길주로 7
 
2.5%
3층 6
 
2.2%
조마루로 6
 
2.2%
2 6
 
2.2%
2층 5
 
1.8%
부천체육문화센터 4
 
1.4%
4층 4
 
1.4%
Other values (118) 144
51.6%
2023-12-12T09:50:13.998856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
239
 
18.0%
1 57
 
4.3%
부 55
 
4.1%
천 52
 
3.9%
동 52
 
3.9%
. 51
 
3.8%
도 42
 
3.2%
시 42
 
3.2%
로 41
 
3.1%
) 40
 
3.0%
Other values (120) 658
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 724
54.5%
Space Separator 239
 
18.0%
Decimal Number 222
 
16.7%
Other Punctuation 51
 
3.8%
Close Punctuation 40
 
3.0%
Open Punctuation 40
 
3.0%
Math Symbol 5
 
0.4%
Dash Punctuation 4
 
0.3%
Uppercase Letter 3
 
0.2%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 55
 
7.6%
천 52
 
7.2%
동 52
 
7.2%
도 42
 
5.8%
시 42
 
5.8%
로 41
 
5.7%
기 40
 
5.5%
경 40
 
5.5%
층 26
 
3.6%
상 22
 
3.0%
Other values (101) 312
43.1%
Decimal Number
ValueCountFrequency (%)
1 57
25.7%
3 36
16.2%
0 29
13.1%
2 28
12.6%
4 23
10.4%
7 14
 
6.3%
8 13
 
5.9%
9 10
 
4.5%
6 7
 
3.2%
5 5
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
D 1
33.3%
Space Separator
ValueCountFrequency (%)
239
100.0%
Other Punctuation
ValueCountFrequency (%)
. 51
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 724
54.5%
Common 601
45.2%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 55
 
7.6%
천 52
 
7.2%
동 52
 
7.2%
도 42
 
5.8%
시 42
 
5.8%
로 41
 
5.7%
기 40
 
5.5%
경 40
 
5.5%
층 26
 
3.6%
상 22
 
3.0%
Other values (101) 312
43.1%
Common
ValueCountFrequency (%)
239
39.8%
1 57
 
9.5%
. 51
 
8.5%
) 40
 
6.7%
( 40
 
6.7%
3 36
 
6.0%
0 29
 
4.8%
2 28
 
4.7%
4 23
 
3.8%
7 14
 
2.3%
Other values (6) 44
 
7.3%
Latin
ValueCountFrequency (%)
B 2
50.0%
Ⅲ 1
25.0%
D 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 724
54.5%
ASCII 604
45.4%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
239
39.6%
1 57
 
9.4%
. 51
 
8.4%
) 40
 
6.6%
( 40
 
6.6%
3 36
 
6.0%
0 29
 
4.8%
2 28
 
4.6%
4 23
 
3.8%
7 14
 
2.3%
Other values (8) 47
 
7.8%
Hangul
ValueCountFrequency (%)
부 55
 
7.6%
천 52
 
7.2%
동 52
 
7.2%
도 42
 
5.8%
시 42
 
5.8%
로 41
 
5.7%
기 40
 
5.5%
경 40
 
5.5%
층 26
 
3.6%
상 22
 
3.0%
Other values (101) 312
43.1%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

전화번호
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing19
Missing (%)47.5%
Memory size452.0 B
2023-12-12T09:50:14.217022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.047619
Min length11

Characters and Unicode

Total characters253
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

Unique21 ?
Unique (%)100.0%

Sample

1st row02-333-8334
2nd row032-665-0177
3rd row032-321-8502
4th row070-8880-1231
5th row032-716-6442
ValueCountFrequency (%)
02-333-8334 1
 
4.8%
031-791-6817 1
 
4.8%
032-322-7760 1
 
4.8%
032-320-7683 1
 
4.8%
070-7391-7900 1
 
4.8%
032-671-9274 1
 
4.8%
032-343-9555 1
 
4.8%
032-341-6489 1
 
4.8%
032-661-5114 1
 
4.8%
032-213-5216 1
 
4.8%
Other values (11) 11
52.4%
2023-12-12T09:50:14.547483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 42
16.6%
3 42
16.6%
0 39
15.4%
2 36
14.2%
1 24
9.5%
7 16
 
6.3%
8 15
 
5.9%
6 14
 
5.5%
4 10
 
4.0%
5 9
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 211
83.4%
Dash Punctuation 42
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 42
19.9%
0 39
18.5%
2 36
17.1%
1 24
11.4%
7 16
 
7.6%
8 15
 
7.1%
6 14
 
6.6%
4 10
 
4.7%
5 9
 
4.3%
9 6
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 253
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 42
16.6%
3 42
16.6%
0 39
15.4%
2 36
14.2%
1 24
9.5%
7 16
 
6.3%
8 15
 
5.9%
6 14
 
5.5%
4 10
 
4.0%
5 9
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 253
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 42
16.6%
3 42
16.6%
0 39
15.4%
2 36
14.2%
1 24
9.5%
7 16
 
6.3%
8 15
 
5.9%
6 14
 
5.5%
4 10
 
4.0%
5 9
 
3.6%

Correlations

2023-12-12T09:50:14.661877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업종류시설명소재지(도로명)전화번호
영업종류1.0001.0001.0001.000
시설명1.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2023-12-12T09:50:12.067774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:50:12.163806image/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

영업종류시설명소재지(도로명)전화번호
0일반유원시설업부천디스코팡팡경기도 부천시 부천로 11. 해태쇼핑 1층 109.110.111호 (심곡동)<NA>
1기타유원시설업짱오락실경기도 부천시 부일로 460. 시네마존 106. 202. 203호 (심곡동)02-333-8334
2기타유원시설업노리파크 부천역곡점경기도 부천시 역곡로13번길 49. 금강빌딩 4층 (역곡동)<NA>
3기타유원시설업키즈인러브경기도 부천시 원미로124번길 6-18. 3층 (원미동)032-665-0177
4기타유원시설업대산(키즈카페 놀자)경기도 부천시 지봉로 46. 백호빌딩 3층 (역곡동)<NA>
5기타유원시설업헬로방방중상동점경기도 부천시 길주로 219. 305~310호 (중동)032-321-8502
6기타유원시설업점핑몬스터 부천점경기도 부천시 상동로 87. 가나베스트타운 쓰리 지하1층 B04호 (상동)070-8880-1231
7기타유원시설업부천로보파크경기도 부천시 평천로 655. 부천 테크노파크 401동 2층 일부호 (약대동)032-716-6442
8기타유원시설업보물찾기(중동점)경기도 부천시 석천로183번길 43. 현대프라자 101~103호 (중동)<NA>
9종합유원시설업웅진플레이도시경기도 부천시 조마루로 2 (상동)032-310-8171
영업종류시설명소재지(도로명)전화번호
30기타유원시설업맘스앤키즈카페경기도 부천시 역곡로 493. 2층 (고강동)032-671-9274
31기타유원시설업타요방방경기도 부천시 소사로794번길 27. 2층 (원종동)070-7391-7900
32기타유원시설업키즈앤맘(쿠잉쿠잉)경기도 부천시 길주로 180. 9층 일부호 (중동. 현대백화점부천중동점)<NA>
33기타유원시설업타요키즈카페 롯데백화점중동점경기도 부천시 길주로 300. 8층 (중동. 롯데백화점중동점)032-320-7683
34기타유원시설업아띠앙쥬 부천상동점경기도 부천시 길주로 137. 상록그린힐빌딩 201 일부. 205호 (상동)<NA>
35기타유원시설업볼베어파크경기도 부천시 조마루로 2. 웅진플레이도시 2층 (상동)032-322-7760
36기타유원시설업러쉬경기도 부천시 조마루로 2. 부천체육문화센터 (상동)032-325-2878
37기타유원시설업맘스앤키즈방방경기도 부천시 중동로 413. 지층 (삼정동)<NA>
38기타유원시설업쥬키즈카페경기도 부천시 소사로 740. 정복빌딩 4층 (원종동)<NA>
39기타유원시설업육해공레져경기도 부천시 조마루로 2. 부천체육문화센터 (상동)<NA>