Overview

Dataset statistics

Number of variables4
Number of observations97
Missing cells23
Missing cells (%)5.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory33.4 B

Variable types

Categorical1
Text3

Dataset

Description인천광역시 남동구 여행업 현황에 대한 데이터로(국외/국내여행 등록업종, 업체명, 업체 도로명주소, 전화번호)등을 제공합니다.
Author인천광역시 남동구
URLhttps://www.data.go.kr/data/3077705/fileData.do

Alerts

전화번호 has 23 (23.7%) missing valuesMissing

Reproduction

Analysis started2023-12-12 14:55:11.082642
Analysis finished2023-12-12 14:55:11.775218
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록업종
Categorical

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
국내외여행업
47 
국내여행업
27 
종합여행업
23 

Length

Max length6
Median length5
Mean length5.4845361
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내외여행업 47
48.5%
국내여행업 27
27.8%
종합여행업 23
23.7%

Length

2023-12-12T23:55:11.856221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:55:11.969996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 47
48.5%
국내여행업 27
27.8%
종합여행업 23
23.7%

업체명
Text

Distinct77
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Memory size908.0 B
2023-12-12T23:55:12.223854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length7.7525773
Min length3

Characters and Unicode

Total characters752
Distinct characters161
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

Unique57 ?
Unique (%)58.8%

Sample

1st row주식회사 그랜드항공여행사
2nd row(주)준여행사
3rd row주식회사 하늘여행
4th row드림투어 간석지점
5th row(주)위드티앤씨
ValueCountFrequency (%)
주식회사 17
 
12.1%
앤 3
 
2.1%
트립 3
 
2.1%
코리아 3
 
2.1%
주)도울항공 2
 
1.4%
우노웍스 2
 
1.4%
그랜드항공여행사 2
 
1.4%
더쎈골프 2
 
1.4%
오션스테이 2
 
1.4%
찐투어 2
 
1.4%
Other values (85) 103
73.0%
2023-12-12T23:55:12.669314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 51
 
6.8%
44
 
5.9%
사 41
 
5.5%
어 34
 
4.5%
) 33
 
4.4%
( 33
 
4.4%
투 25
 
3.3%
여 24
 
3.2%
행 24
 
3.2%
회 19
 
2.5%
Other values (151) 424
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 642
85.4%
Space Separator 44
 
5.9%
Close Punctuation 33
 
4.4%
Open Punctuation 33
 
4.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 51
 
7.9%
사 41
 
6.4%
어 34
 
5.3%
투 25
 
3.9%
여 24
 
3.7%
행 24
 
3.7%
회 19
 
3.0%
스 19
 
3.0%
식 17
 
2.6%
이 15
 
2.3%
Other values (148) 373
58.1%
Space Separator
ValueCountFrequency (%)
44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 642
85.4%
Common 110
 
14.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 51
 
7.9%
사 41
 
6.4%
어 34
 
5.3%
투 25
 
3.9%
여 24
 
3.7%
행 24
 
3.7%
회 19
 
3.0%
스 19
 
3.0%
식 17
 
2.6%
이 15
 
2.3%
Other values (148) 373
58.1%
Common
ValueCountFrequency (%)
44
40.0%
) 33
30.0%
( 33
30.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 642
85.4%
ASCII 110
 
14.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 51
 
7.9%
사 41
 
6.4%
어 34
 
5.3%
투 25
 
3.9%
여 24
 
3.7%
행 24
 
3.7%
회 19
 
3.0%
스 19
 
3.0%
식 17
 
2.6%
이 15
 
2.3%
Other values (148) 373
58.1%
ASCII
ValueCountFrequency (%)
44
40.0%
) 33
30.0%
( 33
30.0%

도로명 주소
Text

Distinct78
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Memory size908.0 B
2023-12-12T23:55:13.010743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length45
Mean length37.051546
Min length23

Characters and Unicode

Total characters3594
Distinct characters184
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)60.8%

Sample

1st row인천광역시 남동구 구월로 121 (간석동)
2nd row인천광역시 남동구 백범로 210 (만수동)
3rd row인천광역시 남동구 경인로 656 (간석동)
4th row인천광역시 남동구 경원대로 971, 1층 (간석동, 홈플러스)
5th row인천광역시 남동구 청능대로 581, 201호 (논현동)
ValueCountFrequency (%)
인천광역시 97
 
14.2%
남동구 97
 
14.2%
구월동 38
 
5.6%
간석동 19
 
2.8%
논현동 17
 
2.5%
고잔동 9
 
1.3%
만수동 9
 
1.3%
2층 7
 
1.0%
예술로 7
 
1.0%
3층 6
 
0.9%
Other values (227) 376
55.1%
2023-12-12T23:55:13.462700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
586
 
16.3%
동 225
 
6.3%
구 155
 
4.3%
인 119
 
3.3%
남 117
 
3.3%
, 115
 
3.2%
1 114
 
3.2%
천 107
 
3.0%
시 103
 
2.9%
역 102
 
2.8%
Other values (174) 1851
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2067
57.5%
Decimal Number 593
 
16.5%
Space Separator 586
 
16.3%
Other Punctuation 117
 
3.3%
Open Punctuation 99
 
2.8%
Close Punctuation 99
 
2.8%
Uppercase Letter 18
 
0.5%
Dash Punctuation 15
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 225
 
10.9%
구 155
 
7.5%
인 119
 
5.8%
남 117
 
5.7%
천 107
 
5.2%
시 103
 
5.0%
역 102
 
4.9%
광 97
 
4.7%
로 97
 
4.7%
호 70
 
3.4%
Other values (148) 875
42.3%
Decimal Number
ValueCountFrequency (%)
1 114
19.2%
2 95
16.0%
0 80
13.5%
3 74
12.5%
4 48
8.1%
6 42
 
7.1%
5 40
 
6.7%
8 40
 
6.7%
7 34
 
5.7%
9 26
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
A 5
27.8%
B 3
16.7%
N 2
 
11.1%
O 2
 
11.1%
V 1
 
5.6%
C 1
 
5.6%
G 1
 
5.6%
D 1
 
5.6%
K 1
 
5.6%
J 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 115
98.3%
. 2
 
1.7%
Space Separator
ValueCountFrequency (%)
586
100.0%
Open Punctuation
ValueCountFrequency (%)
( 99
100.0%
Close Punctuation
ValueCountFrequency (%)
) 99
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2067
57.5%
Common 1509
42.0%
Latin 18
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 225
 
10.9%
구 155
 
7.5%
인 119
 
5.8%
남 117
 
5.7%
천 107
 
5.2%
시 103
 
5.0%
역 102
 
4.9%
광 97
 
4.7%
로 97
 
4.7%
호 70
 
3.4%
Other values (148) 875
42.3%
Common
ValueCountFrequency (%)
586
38.8%
, 115
 
7.6%
1 114
 
7.6%
( 99
 
6.6%
) 99
 
6.6%
2 95
 
6.3%
0 80
 
5.3%
3 74
 
4.9%
4 48
 
3.2%
6 42
 
2.8%
Other values (6) 157
 
10.4%
Latin
ValueCountFrequency (%)
A 5
27.8%
B 3
16.7%
N 2
 
11.1%
O 2
 
11.1%
V 1
 
5.6%
C 1
 
5.6%
G 1
 
5.6%
D 1
 
5.6%
K 1
 
5.6%
J 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2067
57.5%
ASCII 1527
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
586
38.4%
, 115
 
7.5%
1 114
 
7.5%
( 99
 
6.5%
) 99
 
6.5%
2 95
 
6.2%
0 80
 
5.2%
3 74
 
4.8%
4 48
 
3.1%
6 42
 
2.8%
Other values (16) 175
 
11.5%
Hangul
ValueCountFrequency (%)
동 225
 
10.9%
구 155
 
7.5%
인 119
 
5.8%
남 117
 
5.7%
천 107
 
5.2%
시 103
 
5.0%
역 102
 
4.9%
광 97
 
4.7%
로 97
 
4.7%
호 70
 
3.4%
Other values (148) 875
42.3%

전화번호
Text

MISSING 

Distinct56
Distinct (%)75.7%
Missing23
Missing (%)23.7%
Memory size908.0 B
2023-12-12T23:55:13.721281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.918919
Min length9

Characters and Unicode

Total characters882
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

Unique38 ?
Unique (%)51.4%

Sample

1st row032-421-2161
2nd row032-464-9950
3rd row032-434-3366
4th row032-582-9400
5th row032-426-3100
ValueCountFrequency (%)
070-4239-5236 2
 
2.7%
032-874-9001 2
 
2.7%
032-421-2161 2
 
2.7%
032-431-2525 2
 
2.7%
070-4135-6198 2
 
2.7%
032-863-1117 2
 
2.7%
032-442-7777 2
 
2.7%
032-422-0268 2
 
2.7%
1833-3278 2
 
2.7%
070-7677-9677 2
 
2.7%
Other values (46) 54
73.0%
2023-12-12T23:55:14.139219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 143
16.2%
0 133
15.1%
2 129
14.6%
3 119
13.5%
4 77
8.7%
1 59
6.7%
7 58
6.6%
6 48
 
5.4%
5 47
 
5.3%
8 45
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 739
83.8%
Dash Punctuation 143
 
16.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 133
18.0%
2 129
17.5%
3 119
16.1%
4 77
10.4%
1 59
8.0%
7 58
7.8%
6 48
 
6.5%
5 47
 
6.4%
8 45
 
6.1%
9 24
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 143
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 882
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 143
16.2%
0 133
15.1%
2 129
14.6%
3 119
13.5%
4 77
8.7%
1 59
6.7%
7 58
6.6%
6 48
 
5.4%
5 47
 
5.3%
8 45
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 882
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 143
16.2%
0 133
15.1%
2 129
14.6%
3 119
13.5%
4 77
8.7%
1 59
6.7%
7 58
6.6%
6 48
 
5.4%
5 47
 
5.3%
8 45
 
5.1%

Correlations

2023-12-12T23:55:14.247843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록업종업체명도로명 주소전화번호
등록업종1.0000.0000.0000.000
업체명0.0001.0001.0001.000
도로명 주소0.0001.0001.0001.000
전화번호0.0001.0001.0001.000

Missing values

2023-12-12T23:55:11.643693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:55:11.740886image/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

등록업종업체명도로명 주소전화번호
0국내여행업주식회사 그랜드항공여행사인천광역시 남동구 구월로 121 (간석동)032-421-2161
1국내여행업(주)준여행사인천광역시 남동구 백범로 210 (만수동)032-464-9950
2국내여행업주식회사 하늘여행인천광역시 남동구 경인로 656 (간석동)032-434-3366
3국내여행업드림투어 간석지점인천광역시 남동구 경원대로 971, 1층 (간석동, 홈플러스)032-582-9400
4국내여행업(주)위드티앤씨인천광역시 남동구 청능대로 581, 201호 (논현동)032-426-3100
5국내여행업투어맥스인천광역시 남동구 청능대로 596, 지하1층 (논현동)032-435-0551
6국내여행업어게인 콜 커뮤니케이션인천광역시 남동구 용천로 3, 뉴인천빌딩 202호 (구월동)032-249-7682
7국내여행업주식회사 글로벌코리아상사인천광역시 남동구 구월로 324, 은성빌딩 3층 (만수동)032-463-8300
8국내여행업(주)도울항공인천광역시 남동구 선수촌공원로23번길 11, 네이쳐프라자 7층 705호 (구월동)<NA>
9국내여행업(주)심지항공여행사인천광역시 남동구 호구포로 818, 315호 (구월동, 퍼스트하임프라자)032-432-0017
등록업종업체명도로명 주소전화번호
87종합여행업매일투어인천광역시 남동구 선수촌공원로23번길 11, 네이쳐프라자 5층 502-27호 (구월동)<NA>
88종합여행업주식회사 시원국제인천광역시 남동구 구월남로 120, 백세빌딩 6층 47호 (구월동)<NA>
89종합여행업티켓투어(주)인천광역시 남동구 남동대로215번길 30, 인천종합비즈니스센터 304호 (고잔동)032-258-8008
90종합여행업코코 코리아인천광역시 남동구 미래로 45, 벤처빌딩 603호 (구월동)<NA>
91종합여행업더바이크인천광역시 남동구 호구포로 183, 후이즈스마트타워 702호 (고잔동)<NA>
92종합여행업후엔인천인천광역시 남동구 논현로26번길 34, 논현시네마타워 2층 203-1호 (논현동)<NA>
93종합여행업협동조합 꿈꾸는 문화놀이터 뜻인천광역시 남동구 인주대로888번길 36, 3층 301호 (만수동)032-468-5432
94종합여행업라파클럽인천광역시 남동구 논현로46번길 39-60, 203호 (논현동)070-8876-7479
95종합여행업브라보여행(주)인천광역시 남동구 은청로 4-7, 남동공단산업용품상가 비동 312호 (고잔동)<NA>
96종합여행업뉴스타관광(주)인천광역시 남동구 인주대로888번길 10, 흥농빌딩 202호 (만수동)032-442-7777