Overview

Dataset statistics

Number of variables3
Number of observations44
Missing cells5
Missing cells (%)3.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory27.0 B

Variable types

Text3

Dataset

Description인천광역시 골프연습장 현황입니다.(업종,상호,시설주소(도로명),시설전화번호)ex) 골프연습장업,동아골프연습장,인천광역시 부평구 부평문화로 37 (부평동, 부평동아아파트),032-264-7279
Author인천광역시
URLhttps://www.incheon.go.kr/data/DATA010201/view?docId=15083688

Alerts

시설전화번호 has 5 (11.4%) missing valuesMissing
상호 has unique valuesUnique
시설주소(도로명) has unique valuesUnique

Reproduction

Analysis started2024-01-28 09:27:54.493519
Analysis finished2024-01-28 09:27:54.749594
Duration0.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-01-28T18:27:54.882255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length7.8409091
Min length4

Characters and Unicode

Total characters345
Distinct characters98
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)100.0%

Sample

1st row한화골프연습장
2nd row대아골프랜드
3rd row미라클 골프아카데미
4th rowJMS골프클럽
5th row경남골프
ValueCountFrequency (%)
스크린골프 4
 
7.3%
골프아카데미 2
 
3.6%
주식회사 2
 
3.6%
한화골프연습장 1
 
1.8%
현대스포츠(골프 1
 
1.8%
주)진미선골프클럽 1
 
1.8%
경인스크린 1
 
1.8%
프로골프연습장 1
 
1.8%
월드스크린골프장존 1
 
1.8%
스카이72골프죤 1
 
1.8%
Other values (40) 40
72.7%
2024-01-28T18:27:55.188130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
프 41
 
11.9%
골 40
 
11.6%
스 24
 
7.0%
린 18
 
5.2%
크 18
 
5.2%
장 11
 
3.2%
11
 
3.2%
연 10
 
2.9%
습 10
 
2.9%
아 9
 
2.6%
Other values (88) 153
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 308
89.3%
Uppercase Letter 13
 
3.8%
Space Separator 11
 
3.2%
Decimal Number 5
 
1.4%
Lowercase Letter 4
 
1.2%
Close Punctuation 2
 
0.6%
Open Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
프 41
 
13.3%
골 40
 
13.0%
스 24
 
7.8%
린 18
 
5.8%
크 18
 
5.8%
장 11
 
3.6%
연 10
 
3.2%
습 10
 
3.2%
아 9
 
2.9%
카 8
 
2.6%
Other values (67) 119
38.6%
Uppercase Letter
ValueCountFrequency (%)
K 2
15.4%
J 2
15.4%
M 2
15.4%
S 2
15.4%
U 1
7.7%
R 1
7.7%
P 1
7.7%
O 1
7.7%
C 1
7.7%
Decimal Number
ValueCountFrequency (%)
7 1
20.0%
2 1
20.0%
5 1
20.0%
6 1
20.0%
3 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
i 1
25.0%
m 1
25.0%
a 1
25.0%
r 1
25.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 308
89.3%
Common 20
 
5.8%
Latin 17
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
프 41
 
13.3%
골 40
 
13.0%
스 24
 
7.8%
린 18
 
5.8%
크 18
 
5.8%
장 11
 
3.6%
연 10
 
3.2%
습 10
 
3.2%
아 9
 
2.9%
카 8
 
2.6%
Other values (67) 119
38.6%
Latin
ValueCountFrequency (%)
K 2
11.8%
J 2
11.8%
M 2
11.8%
S 2
11.8%
U 1
 
5.9%
R 1
 
5.9%
i 1
 
5.9%
m 1
 
5.9%
P 1
 
5.9%
a 1
 
5.9%
Other values (3) 3
17.6%
Common
ValueCountFrequency (%)
11
55.0%
) 2
 
10.0%
( 2
 
10.0%
7 1
 
5.0%
2 1
 
5.0%
5 1
 
5.0%
6 1
 
5.0%
3 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 308
89.3%
ASCII 37
 
10.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
프 41
 
13.3%
골 40
 
13.0%
스 24
 
7.8%
린 18
 
5.8%
크 18
 
5.8%
장 11
 
3.6%
연 10
 
3.2%
습 10
 
3.2%
아 9
 
2.9%
카 8
 
2.6%
Other values (67) 119
38.6%
ASCII
ValueCountFrequency (%)
11
29.7%
) 2
 
5.4%
K 2
 
5.4%
( 2
 
5.4%
J 2
 
5.4%
M 2
 
5.4%
S 2
 
5.4%
7 1
 
2.7%
2 1
 
2.7%
U 1
 
2.7%
Other values (11) 11
29.7%

시설주소(도로명)
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-01-28T18:27:55.446891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length37
Mean length31.727273
Min length23

Characters and Unicode

Total characters1396
Distinct characters121
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

Unique44 ?
Unique (%)100.0%

Sample

1st row인천광역시 부평구 마장로324번길 27-7 (산곡동)
2nd row인천광역시 부평구 광장로 16 (부평동, 부평민자역사)
3rd row인천광역시 부평구 주부토로 231 (갈산동, 갈산홈프라자)
4th row인천광역시 부평구 무네미로 487 (일신동)
5th row인천광역시 부평구 안남로222번길 27 (산곡동, 경남아파트)
ValueCountFrequency (%)
인천광역시 44
 
16.2%
부평구 44
 
16.2%
산곡동 9
 
3.3%
부평동 9
 
3.3%
삼산동 8
 
2.9%
청천동 6
 
2.2%
십정동 6
 
2.2%
장제로 5
 
1.8%
세월천로 4
 
1.5%
무네미로 3
 
1.1%
Other values (114) 134
49.3%
2024-01-28T18:27:55.813093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
228
 
16.3%
부 69
 
4.9%
평 59
 
4.2%
천 56
 
4.0%
동 52
 
3.7%
인 45
 
3.2%
광 45
 
3.2%
역 45
 
3.2%
구 45
 
3.2%
( 44
 
3.2%
Other values (111) 708
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 838
60.0%
Space Separator 228
 
16.3%
Decimal Number 194
 
13.9%
Open Punctuation 44
 
3.2%
Close Punctuation 44
 
3.2%
Other Punctuation 43
 
3.1%
Dash Punctuation 3
 
0.2%
Math Symbol 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 69
 
8.2%
평 59
 
7.0%
천 56
 
6.7%
동 52
 
6.2%
인 45
 
5.4%
광 45
 
5.4%
역 45
 
5.4%
구 45
 
5.4%
시 44
 
5.3%
로 44
 
5.3%
Other values (94) 334
39.9%
Decimal Number
ValueCountFrequency (%)
1 34
17.5%
2 29
14.9%
3 26
13.4%
4 25
12.9%
5 18
9.3%
7 16
8.2%
6 14
7.2%
0 13
 
6.7%
8 11
 
5.7%
9 8
 
4.1%
Space Separator
ValueCountFrequency (%)
228
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Other Punctuation
ValueCountFrequency (%)
, 43
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 838
60.0%
Common 557
39.9%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 69
 
8.2%
평 59
 
7.0%
천 56
 
6.7%
동 52
 
6.2%
인 45
 
5.4%
광 45
 
5.4%
역 45
 
5.4%
구 45
 
5.4%
시 44
 
5.3%
로 44
 
5.3%
Other values (94) 334
39.9%
Common
ValueCountFrequency (%)
228
40.9%
( 44
 
7.9%
) 44
 
7.9%
, 43
 
7.7%
1 34
 
6.1%
2 29
 
5.2%
3 26
 
4.7%
4 25
 
4.5%
5 18
 
3.2%
7 16
 
2.9%
Other values (6) 50
 
9.0%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 838
60.0%
ASCII 558
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
228
40.9%
( 44
 
7.9%
) 44
 
7.9%
, 43
 
7.7%
1 34
 
6.1%
2 29
 
5.2%
3 26
 
4.7%
4 25
 
4.5%
5 18
 
3.2%
7 16
 
2.9%
Other values (7) 51
 
9.1%
Hangul
ValueCountFrequency (%)
부 69
 
8.2%
평 59
 
7.0%
천 56
 
6.7%
동 52
 
6.2%
인 45
 
5.4%
광 45
 
5.4%
역 45
 
5.4%
구 45
 
5.4%
시 44
 
5.3%
로 44
 
5.3%
Other values (94) 334
39.9%

시설전화번호
Text

MISSING 

Distinct38
Distinct (%)97.4%
Missing5
Missing (%)11.4%
Memory size484.0 B
2024-01-28T18:27:55.984200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters468
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

Unique37 ?
Unique (%)94.9%

Sample

1st row032-526-0536
2nd row032-529-9998
3rd row032-508-2040
4th row032-504-8605
5th row032-508-1500
ValueCountFrequency (%)
032-504-8605 2
 
5.1%
032-330-0707 1
 
2.6%
032-511-7288 1
 
2.6%
032-330-8880 1
 
2.6%
032-505-3777 1
 
2.6%
032-571-0753 1
 
2.6%
032-501-1000 1
 
2.6%
032-431-4400 1
 
2.6%
032-506-7088 1
 
2.6%
032-515-0626 1
 
2.6%
Other values (28) 28
71.8%
2024-01-28T18:27:56.245397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 99
21.2%
- 78
16.7%
3 68
14.5%
2 67
14.3%
5 44
9.4%
7 31
 
6.6%
1 25
 
5.3%
8 16
 
3.4%
6 14
 
3.0%
9 14
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 390
83.3%
Dash Punctuation 78
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 99
25.4%
3 68
17.4%
2 67
17.2%
5 44
11.3%
7 31
 
7.9%
1 25
 
6.4%
8 16
 
4.1%
6 14
 
3.6%
9 14
 
3.6%
4 12
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 468
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 99
21.2%
- 78
16.7%
3 68
14.5%
2 67
14.3%
5 44
9.4%
7 31
 
6.6%
1 25
 
5.3%
8 16
 
3.4%
6 14
 
3.0%
9 14
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 468
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 99
21.2%
- 78
16.7%
3 68
14.5%
2 67
14.3%
5 44
9.4%
7 31
 
6.6%
1 25
 
5.3%
8 16
 
3.4%
6 14
 
3.0%
9 14
 
3.0%

Correlations

2024-01-28T18:27:56.328816image/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

2024-01-28T18:27:54.660038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T18:27:54.724130image/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)시설전화번호
0한화골프연습장인천광역시 부평구 마장로324번길 27-7 (산곡동)032-526-0536
1대아골프랜드인천광역시 부평구 광장로 16 (부평동, 부평민자역사)<NA>
2미라클 골프아카데미인천광역시 부평구 주부토로 231 (갈산동, 갈산홈프라자)032-529-9998
3JMS골프클럽인천광역시 부평구 무네미로 487 (일신동)032-508-2040
4경남골프인천광역시 부평구 안남로222번길 27 (산곡동, 경남아파트)032-504-8605
5골프아카데미인천광역시 부평구 원길로21번길 7 (청천동)032-508-1500
6제이플러스제이 주식회사인천광역시 부평구 가재울로 169 (십정동)032-578-7070
7문국진 골프 아카데미인천광역시 부평구 영성중로 50 (삼산동, 미래타워)032-511-6274
8Par골프아카데미인천광역시 부평구 마장로272번길 54, A동 지하2층 (산곡동)032-521-2020
9청천새마을금고골프연습장인천광역시 부평구 세월천로 29 (청천동)<NA>
상호시설주소(도로명)시설전화번호
34대우골프연습장인천광역시 부평구 세월천로 16, 1차상가동 지하1층 1호 (청천동, 청천푸르지오아파트)032-529-3003
35열우물스크린골프인천광역시 부평구 열우물로 164, 지하1층 (십정동, 십정경기장)032-522-0073
36SM스크린골프연습장인천광역시 부평구 부흥로 384, 4층 (부개동, 르노삼성빌딩)032-362-0790
37오라골프존인천광역시 부평구 열우물로 141, 3층 (십정동)032-583-7077
38현대스크린인천광역시 부평구 경원대로 1286, 4층 4호 (부평동, 부평메디아나센터)032-511-7288
39주식회사 탑헬스시그너스인천광역시 부평구 부흥로304번길 17, 102-1호 (부평동, 건영캐스빌)032-511-1259
40경남골프존인천광역시 부평구 안남로222번길 27, 3층 (산곡동, 경남아파트)032-504-8605
41파인스크린골프인천광역시 부평구 세월천로 35, 명성월드프라자 4층 401호 (청천동)032-523-8111
42RU 골프연습장인천광역시 부평구 마장로 489, 아이즈빌아울렛 5동 3502호,6동 3601호 (청천동)<NA>
43JC골프연습장인천광역시 부평구 장제로 116, 8층 (부평동)<NA>