Overview

Dataset statistics

Number of variables5
Number of observations28
Missing cells23
Missing cells (%)16.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory44.7 B

Variable types

Categorical2
Text3

Dataset

Description인천광역시 중구 유원시설업에 대한 정보입니다.파일명: 인천광역시 중구 유원시설업.내용: 업종, 업체명, 도로명주소 등.
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15074876&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 23 (82.1%) missing valuesMissing

Reproduction

Analysis started2024-01-28 05:27:38.068346
Analysis finished2024-01-28 05:27:38.710375
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
기타유원시설업
21 
일반유원시설업
7 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타유원시설업 21
75.0%
일반유원시설업 7
 
25.0%

Length

2024-01-28T14:27:38.781175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T14:27:38.867425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타유원시설업 21
75.0%
일반유원시설업 7
 
25.0%

상호
Text

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-01-28T14:27:39.040112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length6.1785714
Min length3

Characters and Unicode

Total characters173
Distinct characters88
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
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 row놀이동산
2nd row마이랜드
3rd row비취랜드
4th row월미 비치랜드
5th row(주)슬링샷 코리아
ValueCountFrequency (%)
비취랜드 2
 
5.4%
오락실 2
 
5.4%
재미삼아다트사격장 1
 
2.7%
마이랜드 1
 
2.7%
팡팡오락실 1
 
2.7%
놀이동산 1
 
2.7%
대박전자오락실 1
 
2.7%
nba오락실 1
 
2.7%
타겟19 1
 
2.7%
카카게임장 1
 
2.7%
Other values (25) 25
67.6%
2024-01-28T14:27:39.358959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9
 
5.2%
오 8
 
4.6%
락 8
 
4.6%
실 8
 
4.6%
랜 6
 
3.5%
드 6
 
3.5%
미 6
 
3.5%
월 5
 
2.9%
이 4
 
2.3%
트 4
 
2.3%
Other values (78) 109
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 157
90.8%
Space Separator 9
 
5.2%
Uppercase Letter 3
 
1.7%
Decimal Number 2
 
1.2%
Open Punctuation 1
 
0.6%
Close Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
오 8
 
5.1%
락 8
 
5.1%
실 8
 
5.1%
랜 6
 
3.8%
드 6
 
3.8%
미 6
 
3.8%
월 5
 
3.2%
이 4
 
2.5%
트 4
 
2.5%
도 4
 
2.5%
Other values (70) 98
62.4%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
B 1
33.3%
N 1
33.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
9 1
50.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 157
90.8%
Common 13
 
7.5%
Latin 3
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
오 8
 
5.1%
락 8
 
5.1%
실 8
 
5.1%
랜 6
 
3.8%
드 6
 
3.8%
미 6
 
3.8%
월 5
 
3.2%
이 4
 
2.5%
트 4
 
2.5%
도 4
 
2.5%
Other values (70) 98
62.4%
Common
ValueCountFrequency (%)
9
69.2%
1 1
 
7.7%
9 1
 
7.7%
( 1
 
7.7%
) 1
 
7.7%
Latin
ValueCountFrequency (%)
A 1
33.3%
B 1
33.3%
N 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 157
90.8%
ASCII 16
 
9.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9
56.2%
A 1
 
6.2%
B 1
 
6.2%
N 1
 
6.2%
1 1
 
6.2%
9 1
 
6.2%
( 1
 
6.2%
) 1
 
6.2%
Hangul
ValueCountFrequency (%)
오 8
 
5.1%
락 8
 
5.1%
실 8
 
5.1%
랜 6
 
3.8%
드 6
 
3.8%
미 6
 
3.8%
월 5
 
3.2%
이 4
 
2.5%
트 4
 
2.5%
도 4
 
2.5%
Other values (70) 98
62.4%

소재지(도로명)
Text

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-01-28T14:27:39.559000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length29
Mean length26.214286
Min length22

Characters and Unicode

Total characters734
Distinct characters50
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

Unique26 ?
Unique (%)92.9%

Sample

1st row인천광역시 중구 북성동1가 98-338
2nd row인천광역시 중구 북성동1가 98-330
3rd row인천광역시 중구 북성동1가 98-334
4th row인천광역시 중구 북성동1가 98-333
5th row인천광역시 중구 북성동1가 98-298
ValueCountFrequency (%)
인천광역시 28
19.9%
중구 28
19.9%
북성동1가 25
17.7%
월미문화로 13
 
9.2%
98-333 2
 
1.4%
월미로234번길 2
 
1.4%
1층 2
 
1.4%
월미로242번길 2
 
1.4%
2층 2
 
1.4%
서해대로 1
 
0.7%
Other values (36) 36
25.5%
2024-01-28T14:27:39.869695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
 
16.3%
1 42
 
5.7%
인 29
 
4.0%
중 29
 
4.0%
광 28
 
3.8%
역 28
 
3.8%
시 28
 
3.8%
구 28
 
3.8%
천 28
 
3.8%
동 28
 
3.8%
Other values (40) 346
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 419
57.1%
Decimal Number 133
 
18.1%
Space Separator 120
 
16.3%
Close Punctuation 21
 
2.9%
Open Punctuation 21
 
2.9%
Dash Punctuation 13
 
1.8%
Other Punctuation 7
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 29
 
6.9%
중 29
 
6.9%
광 28
 
6.7%
역 28
 
6.7%
시 28
 
6.7%
구 28
 
6.7%
천 28
 
6.7%
동 28
 
6.7%
가 27
 
6.4%
성 26
 
6.2%
Other values (25) 140
33.4%
Decimal Number
ValueCountFrequency (%)
1 42
31.6%
3 23
17.3%
2 14
 
10.5%
8 14
 
10.5%
9 11
 
8.3%
4 10
 
7.5%
5 6
 
4.5%
0 5
 
3.8%
7 5
 
3.8%
6 3
 
2.3%
Space Separator
ValueCountFrequency (%)
120
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 419
57.1%
Common 315
42.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 29
 
6.9%
중 29
 
6.9%
광 28
 
6.7%
역 28
 
6.7%
시 28
 
6.7%
구 28
 
6.7%
천 28
 
6.7%
동 28
 
6.7%
가 27
 
6.4%
성 26
 
6.2%
Other values (25) 140
33.4%
Common
ValueCountFrequency (%)
120
38.1%
1 42
 
13.3%
3 23
 
7.3%
) 21
 
6.7%
( 21
 
6.7%
2 14
 
4.4%
8 14
 
4.4%
- 13
 
4.1%
9 11
 
3.5%
4 10
 
3.2%
Other values (5) 26
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 419
57.1%
ASCII 315
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
38.1%
1 42
 
13.3%
3 23
 
7.3%
) 21
 
6.7%
( 21
 
6.7%
2 14
 
4.4%
8 14
 
4.4%
- 13
 
4.1%
9 11
 
3.5%
4 10
 
3.2%
Other values (5) 26
 
8.3%
Hangul
ValueCountFrequency (%)
인 29
 
6.9%
중 29
 
6.9%
광 28
 
6.7%
역 28
 
6.7%
시 28
 
6.7%
구 28
 
6.7%
천 28
 
6.7%
동 28
 
6.7%
가 27
 
6.4%
성 26
 
6.2%
Other values (25) 140
33.4%

전화번호
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing23
Missing (%)82.1%
Memory size356.0 B
2024-01-28T14:27:40.019240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters60
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

Unique5 ?
Unique (%)100.0%

Sample

1st row032-888-1133
2nd row032-765-8560
3rd row032-762-0997
4th row032-772-1942
5th row032-772-9036
ValueCountFrequency (%)
032-888-1133 1
20.0%
032-765-8560 1
20.0%
032-762-0997 1
20.0%
032-772-1942 1
20.0%
032-772-9036 1
20.0%
2024-01-28T14:27:40.268165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 10
16.7%
2 9
15.0%
0 8
13.3%
3 8
13.3%
7 7
11.7%
8 4
 
6.7%
6 4
 
6.7%
9 4
 
6.7%
1 3
 
5.0%
5 2
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 50
83.3%
Dash Punctuation 10
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 9
18.0%
0 8
16.0%
3 8
16.0%
7 7
14.0%
8 4
8.0%
6 4
8.0%
9 4
8.0%
1 3
 
6.0%
5 2
 
4.0%
4 1
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 60
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 10
16.7%
2 9
15.0%
0 8
13.3%
3 8
13.3%
7 7
11.7%
8 4
 
6.7%
6 4
 
6.7%
9 4
 
6.7%
1 3
 
5.0%
5 2
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 60
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 10
16.7%
2 9
15.0%
0 8
13.3%
3 8
13.3%
7 7
11.7%
8 4
 
6.7%
6 4
 
6.7%
9 4
 
6.7%
1 3
 
5.0%
5 2
 
3.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-08-31
28 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-31
2nd row2023-08-31
3rd row2023-08-31
4th row2023-08-31
5th row2023-08-31

Common Values

ValueCountFrequency (%)
2023-08-31 28
100.0%

Length

2024-01-28T14:27:40.398157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T14:27:40.477409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-31 28
100.0%

Correlations

2024-01-28T14:27:40.529669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종상호소재지(도로명)전화번호
업종1.0000.0000.0001.000
상호0.0001.0000.9951.000
소재지(도로명)0.0000.9951.0001.000
전화번호1.0001.0001.0001.000

Missing values

2024-01-28T14:27:38.569623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T14:27:38.670667image/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

업종상호소재지(도로명)전화번호데이터기준일자
0일반유원시설업놀이동산인천광역시 중구 북성동1가 98-338<NA>2023-08-31
1일반유원시설업마이랜드인천광역시 중구 북성동1가 98-330<NA>2023-08-31
2일반유원시설업비취랜드인천광역시 중구 북성동1가 98-334<NA>2023-08-31
3일반유원시설업월미 비치랜드인천광역시 중구 북성동1가 98-333032-888-11332023-08-31
4일반유원시설업(주)슬링샷 코리아인천광역시 중구 북성동1가 98-298<NA>2023-08-31
5일반유원시설업월미테마파크인천광역시 중구 북성동1가 98-580<NA>2023-08-31
6일반유원시설업월미랜드인천광역시 중구 월미로 237 (북성동1가)<NA>2023-08-31
7기타유원시설업비취랜드인천광역시 중구 북성동1가 98-333<NA>2023-08-31
8기타유원시설업스크림인천광역시 중구 월미로242번길 8-1, 지하층 (북성동1가)032-765-85602023-08-31
9기타유원시설업차피패밀리파크인천광역시 중구 월미문화로 81, 2층 (북성동1가)032-762-09972023-08-31
업종상호소재지(도로명)전화번호데이터기준일자
18기타유원시설업NBA오락실인천광역시 중구 월미문화로 37-1 (북성동1가)<NA>2023-08-31
19기타유원시설업타겟19인천광역시 중구 월미문화로 95, 106호 (북성동1가)<NA>2023-08-31
20기타유원시설업재미삼아다트사격장인천광역시 중구 월미로234번길 12, 108호 (북성동1가)<NA>2023-08-31
21기타유원시설업카카게임장인천광역시 중구 월미문화로 41 (북성동1가)<NA>2023-08-31
22기타유원시설업월미상륙작전인천광역시 중구 월미문화로 29 (북성동1가)<NA>2023-08-31
23기타유원시설업월미도도도인천광역시 중구 월미문화로 35 (북성동1가)<NA>2023-08-31
24기타유원시설업펀앤펀이벤트컴퍼니인천광역시 중구 서해대로 428 (신흥동3가)<NA>2023-08-31
25기타유원시설업앙코르오락실인천광역시 중구 월미문화로 55, 1층 (북성동1가)<NA>2023-08-31
26기타유원시설업짱나라인천광역시 중구 차이나타운로 31 (북성동3가)<NA>2023-08-31
27기타유원시설업뽑기랜드인천광역시 중구 월미문화로 67-1, 1층 일부 (북성동1가)<NA>2023-08-31