Overview

Dataset statistics

Number of variables4
Number of observations22
Missing cells5
Missing cells (%)5.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory836.0 B
Average record size in memory38.0 B

Variable types

Text3
Categorical1

Dataset

Description인천광역시 중구 골프연습장의 업체명, 도로명주소, 연락처 등에 대한 정보입니다.파일명 인천광역시 중구_골프연습장내용 상호, 시설주소, 시설전화번호 등
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15074868&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
시설전화번호 has 5 (22.7%) missing valuesMissing
상호 has unique valuesUnique
시설주소(도로명) has unique valuesUnique

Reproduction

Analysis started2024-01-28 16:40:29.795607
Analysis finished2024-01-28 16:40:30.224443
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-01-29T01:40:30.375447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length8.2727273
Min length5

Characters and Unicode

Total characters182
Distinct characters75
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

Unique22 ?
Unique (%)100.0%

Sample

1st row고려스포랙스
2nd row한일골프클럽
3rd row(주)하프짐휘트니스
4th row드림골프레인지연습장
5th row윤스골프클럽
ValueCountFrequency (%)
골프 2
 
6.7%
고려스포랙스 1
 
3.3%
영종골프연습장 1
 
3.3%
하와이 1
 
3.3%
골프아카데미&카페 1
 
3.3%
더심 1
 
3.3%
아카데미 1
 
3.3%
메가 1
 
3.3%
골프랜드 1
 
3.3%
벨로디 1
 
3.3%
Other values (19) 19
63.3%
2024-01-29T01:40:30.766650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
프 19
 
10.4%
골 18
 
9.9%
스 11
 
6.0%
8
 
4.4%
카 5
 
2.7%
하 4
 
2.2%
존 4
 
2.2%
크 4
 
2.2%
이 4
 
2.2%
장 4
 
2.2%
Other values (65) 101
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 162
89.0%
Space Separator 8
 
4.4%
Uppercase Letter 7
 
3.8%
Open Punctuation 2
 
1.1%
Close Punctuation 2
 
1.1%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
프 19
 
11.7%
골 18
 
11.1%
스 11
 
6.8%
카 5
 
3.1%
하 4
 
2.5%
존 4
 
2.5%
크 4
 
2.5%
이 4
 
2.5%
장 4
 
2.5%
럽 3
 
1.9%
Other values (55) 86
53.1%
Uppercase Letter
ValueCountFrequency (%)
G 2
28.6%
S 1
14.3%
Y 1
14.3%
E 1
14.3%
P 1
14.3%
A 1
14.3%
Space Separator
ValueCountFrequency (%)
8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 162
89.0%
Common 13
 
7.1%
Latin 7
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
프 19
 
11.7%
골 18
 
11.1%
스 11
 
6.8%
카 5
 
3.1%
하 4
 
2.5%
존 4
 
2.5%
크 4
 
2.5%
이 4
 
2.5%
장 4
 
2.5%
럽 3
 
1.9%
Other values (55) 86
53.1%
Latin
ValueCountFrequency (%)
G 2
28.6%
S 1
14.3%
Y 1
14.3%
E 1
14.3%
P 1
14.3%
A 1
14.3%
Common
ValueCountFrequency (%)
8
61.5%
( 2
 
15.4%
) 2
 
15.4%
& 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 162
89.0%
ASCII 20
 
11.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
프 19
 
11.7%
골 18
 
11.1%
스 11
 
6.8%
카 5
 
3.1%
하 4
 
2.5%
존 4
 
2.5%
크 4
 
2.5%
이 4
 
2.5%
장 4
 
2.5%
럽 3
 
1.9%
Other values (55) 86
53.1%
ASCII
ValueCountFrequency (%)
8
40.0%
G 2
 
10.0%
( 2
 
10.0%
) 2
 
10.0%
S 1
 
5.0%
Y 1
 
5.0%
& 1
 
5.0%
E 1
 
5.0%
P 1
 
5.0%
A 1
 
5.0%

시설주소(도로명)
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-01-29T01:40:31.048104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length36
Mean length32.181818
Min length22

Characters and Unicode

Total characters708
Distinct characters109
Distinct categories9 ?
Distinct scripts3 ?
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 row인천광역시 중구 연안부두로43번길 18 (항동7가)
2nd row인천광역시 중구 서해대로 340 (신흥동3가, 한일스포츠클럽)
3rd row인천광역시 중구 홍예문로 90 (인현동, 뉴코아타운아파트)
4th row인천광역시 중구 영종해안북로847번길 42 (운서동, 스카이72)
5th row인천광역시 중구 신포로 8 (사동, 농협,윤스골크,구몬,국민연금)
ValueCountFrequency (%)
인천광역시 22
 
15.9%
중구 22
 
15.9%
운서동 6
 
4.3%
운남동 5
 
3.6%
중산동 4
 
2.9%
3층 3
 
2.2%
하늘달빛로 3
 
2.2%
24 3
 
2.2%
사동 3
 
2.2%
5층 2
 
1.4%
Other values (60) 65
47.1%
2024-01-29T01:40:31.474010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
116
 
16.4%
중 29
 
4.1%
시 25
 
3.5%
, 25
 
3.5%
인 23
 
3.2%
광 23
 
3.2%
구 23
 
3.2%
동 23
 
3.2%
역 22
 
3.1%
천 22
 
3.1%
Other values (99) 377
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 403
56.9%
Space Separator 116
 
16.4%
Decimal Number 114
 
16.1%
Other Punctuation 26
 
3.7%
Close Punctuation 22
 
3.1%
Open Punctuation 22
 
3.1%
Dash Punctuation 2
 
0.3%
Uppercase Letter 2
 
0.3%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 29
 
7.2%
시 25
 
6.2%
인 23
 
5.7%
광 23
 
5.7%
구 23
 
5.7%
동 23
 
5.7%
역 22
 
5.5%
천 22
 
5.5%
로 22
 
5.5%
운 18
 
4.5%
Other values (80) 173
42.9%
Decimal Number
ValueCountFrequency (%)
1 17
14.9%
2 15
13.2%
4 14
12.3%
3 13
11.4%
0 12
10.5%
9 12
10.5%
8 11
9.6%
5 9
7.9%
7 7
6.1%
6 4
 
3.5%
Other Punctuation
ValueCountFrequency (%)
, 25
96.2%
. 1
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
P 1
50.0%
Space Separator
ValueCountFrequency (%)
116
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 403
56.9%
Common 303
42.8%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 29
 
7.2%
시 25
 
6.2%
인 23
 
5.7%
광 23
 
5.7%
구 23
 
5.7%
동 23
 
5.7%
역 22
 
5.5%
천 22
 
5.5%
로 22
 
5.5%
운 18
 
4.5%
Other values (80) 173
42.9%
Common
ValueCountFrequency (%)
116
38.3%
, 25
 
8.3%
) 22
 
7.3%
( 22
 
7.3%
1 17
 
5.6%
2 15
 
5.0%
4 14
 
4.6%
3 13
 
4.3%
0 12
 
4.0%
9 12
 
4.0%
Other values (7) 35
 
11.6%
Latin
ValueCountFrequency (%)
K 1
50.0%
P 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 403
56.9%
ASCII 305
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
116
38.0%
, 25
 
8.2%
) 22
 
7.2%
( 22
 
7.2%
1 17
 
5.6%
2 15
 
4.9%
4 14
 
4.6%
3 13
 
4.3%
0 12
 
3.9%
9 12
 
3.9%
Other values (9) 37
 
12.1%
Hangul
ValueCountFrequency (%)
중 29
 
7.2%
시 25
 
6.2%
인 23
 
5.7%
광 23
 
5.7%
구 23
 
5.7%
동 23
 
5.7%
역 22
 
5.5%
천 22
 
5.5%
로 22
 
5.5%
운 18
 
4.5%
Other values (80) 173
42.9%

시설전화번호
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing5
Missing (%)22.7%
Memory size308.0 B
2024-01-29T01:40:31.705704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.470588
Min length9

Characters and Unicode

Total characters195
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

Unique17 ?
Unique (%)100.0%

Sample

1st row032-881-8211
2nd row032-885-7989
3rd row032-777-6969
4th row1644-7222
5th row032-764-3888
ValueCountFrequency (%)
032-881-8211 1
 
5.9%
032-752-5850 1
 
5.9%
032-885-7989 1
 
5.9%
1533-1593 1
 
5.9%
1644-5304 1
 
5.9%
032-752-4383 1
 
5.9%
032-746-6500 1
 
5.9%
032-751-3601 1
 
5.9%
032-752-0753 1
 
5.9%
032-777-6969 1
 
5.9%
Other values (7) 7
41.2%
2024-01-29T01:40:32.496183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 31
15.9%
3 26
13.3%
2 25
12.8%
0 21
10.8%
7 21
10.8%
5 17
8.7%
1 14
7.2%
6 13
6.7%
8 12
 
6.2%
4 8
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 164
84.1%
Dash Punctuation 31
 
15.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 26
15.9%
2 25
15.2%
0 21
12.8%
7 21
12.8%
5 17
10.4%
1 14
8.5%
6 13
7.9%
8 12
7.3%
4 8
 
4.9%
9 7
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 195
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 31
15.9%
3 26
13.3%
2 25
12.8%
0 21
10.8%
7 21
10.8%
5 17
8.7%
1 14
7.2%
6 13
6.7%
8 12
 
6.2%
4 8
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 195
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 31
15.9%
3 26
13.3%
2 25
12.8%
0 21
10.8%
7 21
10.8%
5 17
8.7%
1 14
7.2%
6 13
6.7%
8 12
 
6.2%
4 8
 
4.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-08-01
22 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-01
2nd row2023-08-01
3rd row2023-08-01
4th row2023-08-01
5th row2023-08-01

Common Values

ValueCountFrequency (%)
2023-08-01 22
100.0%

Length

2024-01-29T01:40:32.674459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T01:40:32.797144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-01 22
100.0%

Correlations

2024-01-29T01:40:32.879056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상호시설주소(도로명)시설전화번호
상호1.0001.0001.000
시설주소(도로명)1.0001.0001.000
시설전화번호1.0001.0001.000

Missing values

2024-01-29T01:40:30.025667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T01:40:30.171088image/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

상호시설주소(도로명)시설전화번호데이터기준일자
0고려스포랙스인천광역시 중구 연안부두로43번길 18 (항동7가)032-881-82112023-08-01
1한일골프클럽인천광역시 중구 서해대로 340 (신흥동3가, 한일스포츠클럽)032-885-79892023-08-01
2(주)하프짐휘트니스인천광역시 중구 홍예문로 90 (인현동, 뉴코아타운아파트)032-777-69692023-08-01
3드림골프레인지연습장인천광역시 중구 영종해안북로847번길 42 (운서동, 스카이72)1644-72222023-08-01
4윤스골프클럽인천광역시 중구 신포로 8 (사동, 농협,윤스골크,구몬,국민연금)032-764-38882023-08-01
5PGA스크린골프연습장인천광역시 중구 신도시남로142번길 17 (운서동)032-752-07262023-08-01
6한일골프존인천광역시 중구 제물량로 175 (사동, 한일골프존)032-763-79892023-08-01
7신도시스크린골프인천광역시 중구 신도시남로141번길 16 (운서동)032-751-36162023-08-01
8마이스터 골프인천광역시 중구 신도시남로141번길 5-8, 4층 401,402호 (운서동)032-752-77532023-08-01
9하늘스크린골프존인천광역시 중구 하늘중앙로195번길 24, 5층 (중산동, 광장프라자)032-752-07532023-08-01
상호시설주소(도로명)시설전화번호데이터기준일자
12티업비전(하늘도시점)인천광역시 중구 하늘달빛로 90-21, 6층 (중산동, K.P타워)<NA>2023-08-01
13YE골프아카데미인천광역시 중구 하늘달빛로 88, 채운 에비뉴 3층 305호 (중산동)<NA>2023-08-01
14영종골프연습장인천광역시 중구 운중로 24, 5층 (운남동)032-751-36012023-08-01
15한일스포츠클럽인천광역시 중구 우현로9번길 43 (사동)<NA>2023-08-01
16SG골프 영종점인천광역시 중구 운남동로3번길 11 (운남동)032-746-65002023-08-01
17삼거리 골프존인천광역시 중구 넙디로 38, 토건빌딩 3층 (운서동)032-752-43832023-08-01
18벨로디 골프랜드인천광역시 중구 백운로 562 (운북동)1644-53042023-08-01
19메가 골프 아카데미인천광역시 중구 흰바위로 236, 메가타워 9층 901,902,903호 (운남동)1533-15932023-08-01
20더심 골프아카데미&카페인천광역시 중구 흰바위로 258, 센타프라자 9층 901~907호 (운남동)032-721-51612023-08-01
21하와이 골프스튜디오인천광역시 중구 흰바위로59번길 8, 223호 (운서동)<NA>2023-08-01