Overview

Dataset statistics

Number of variables4
Number of observations111
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)0.9%
Total size in memory3.6 KiB
Average record size in memory33.2 B

Variable types

Categorical1
Text3

Dataset

Description목포시 여행사 등록 현황에 대하여 업종, 상호, 소재지(도로명), 전화번호에 연간주기로 자료를 현행화하여 제공하고 있습니다. (개인정보 보호법에 의거, 휴대폰 번호는 삭제처리 함)
URLhttps://www.data.go.kr/data/3079079/fileData.do

Alerts

Dataset has 1 (0.9%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 00:03:28.080877
Analysis finished2023-12-12 00:03:28.434367
Duration0.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1020.0 B
국내외여행업
64 
국내여행업
27 
종합여행업
20 

Length

Max length6
Median length6
Mean length5.5765766
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내외여행업 64
57.7%
국내여행업 27
24.3%
종합여행업 20
 
18.0%

Length

2023-12-12T09:03:28.494622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:03:28.598296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 64
57.7%
국내여행업 27
24.3%
종합여행업 20
 
18.0%

상호
Text

Distinct108
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2023-12-12T09:03:28.848419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length7.6306306
Min length3

Characters and Unicode

Total characters847
Distinct characters193
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)94.6%

Sample

1st row(합)목포관광
2nd row(유)정보테마관광여행사
3rd row씨월드고속훼리
4th row(주)뉴월드컵관광여행사
5th row유한회사 힐링여행사
ValueCountFrequency (%)
유한회사 3
 
2.4%
여행사 3
 
2.4%
나라몰투어 2
 
1.6%
유)나나고속관광여행사 2
 
1.6%
유)와이디여행과체험 2
 
1.6%
유)여행친구 1
 
0.8%
엔젤투어 1
 
0.8%
주)오렌지 1
 
0.8%
유)태평투어 1
 
0.8%
유)대박여행사 1
 
0.8%
Other values (107) 107
86.3%
2023-12-12T09:03:29.245248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 68
 
8.0%
) 68
 
8.0%
유 50
 
5.9%
여 50
 
5.9%
행 50
 
5.9%
사 48
 
5.7%
투 38
 
4.5%
어 38
 
4.5%
주 22
 
2.6%
관 17
 
2.0%
Other values (183) 398
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 688
81.2%
Open Punctuation 68
 
8.0%
Close Punctuation 68
 
8.0%
Space Separator 13
 
1.5%
Other Symbol 4
 
0.5%
Lowercase Letter 3
 
0.4%
Uppercase Letter 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 50
 
7.3%
여 50
 
7.3%
행 50
 
7.3%
사 48
 
7.0%
투 38
 
5.5%
어 38
 
5.5%
주 22
 
3.2%
관 17
 
2.5%
광 17
 
2.5%
나 10
 
1.5%
Other values (173) 348
50.6%
Lowercase Letter
ValueCountFrequency (%)
h 1
33.3%
e 1
33.3%
t 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
E 1
33.3%
R 1
33.3%
N 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 68
100.0%
Close Punctuation
ValueCountFrequency (%)
) 68
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 692
81.7%
Common 149
 
17.6%
Latin 6
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 50
 
7.2%
여 50
 
7.2%
행 50
 
7.2%
사 48
 
6.9%
투 38
 
5.5%
어 38
 
5.5%
주 22
 
3.2%
관 17
 
2.5%
광 17
 
2.5%
나 10
 
1.4%
Other values (174) 352
50.9%
Latin
ValueCountFrequency (%)
h 1
16.7%
e 1
16.7%
t 1
16.7%
E 1
16.7%
R 1
16.7%
N 1
16.7%
Common
ValueCountFrequency (%)
( 68
45.6%
) 68
45.6%
13
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 688
81.2%
ASCII 155
 
18.3%
None 4
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 68
43.9%
) 68
43.9%
13
 
8.4%
h 1
 
0.6%
e 1
 
0.6%
t 1
 
0.6%
E 1
 
0.6%
R 1
 
0.6%
N 1
 
0.6%
Hangul
ValueCountFrequency (%)
유 50
 
7.3%
여 50
 
7.3%
행 50
 
7.3%
사 48
 
7.0%
투 38
 
5.5%
어 38
 
5.5%
주 22
 
3.2%
관 17
 
2.5%
광 17
 
2.5%
나 10
 
1.5%
Other values (173) 348
50.6%
None
ValueCountFrequency (%)
㈜ 4
100.0%

소재지(도로명)
Text

Distinct105
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2023-12-12T09:03:29.534235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length39
Mean length27.369369
Min length20

Characters and Unicode

Total characters3038
Distinct characters124
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

Unique99 ?
Unique (%)89.2%

Sample

1st row전라남도 목포시 해안로148번길 35 (해안동1가)
2nd row전라남도 목포시 산정로 33 (동명동)
3rd row전라남도 목포시 해안로148번길 14 (해안동1가)
4th row전라남도 목포시 원산로 114 (연산동)
5th row전라남도 목포시 양을로 91, 103동 103호 (산정동, 일신아파트)
ValueCountFrequency (%)
전라남도 111
 
17.7%
목포시 111
 
17.7%
산정동 18
 
2.9%
2층 15
 
2.4%
영산로 15
 
2.4%
상동 14
 
2.2%
석현동 9
 
1.4%
3층 9
 
1.4%
해안동1가 8
 
1.3%
옥암동 7
 
1.1%
Other values (194) 310
49.4%
2023-12-12T09:03:30.013824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
517
 
17.0%
1 122
 
4.0%
남 121
 
4.0%
동 120
 
3.9%
포 119
 
3.9%
목 118
 
3.9%
전 115
 
3.8%
라 112
 
3.7%
도 111
 
3.7%
) 111
 
3.7%
Other values (114) 1472
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1730
56.9%
Space Separator 517
 
17.0%
Decimal Number 485
 
16.0%
Close Punctuation 111
 
3.7%
Open Punctuation 111
 
3.7%
Other Punctuation 54
 
1.8%
Dash Punctuation 30
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 121
 
7.0%
동 120
 
6.9%
포 119
 
6.9%
목 118
 
6.8%
전 115
 
6.6%
라 112
 
6.5%
도 111
 
6.4%
시 111
 
6.4%
로 110
 
6.4%
산 61
 
3.5%
Other values (99) 632
36.5%
Decimal Number
ValueCountFrequency (%)
1 122
25.2%
3 76
15.7%
2 68
14.0%
4 44
 
9.1%
0 42
 
8.7%
9 33
 
6.8%
5 30
 
6.2%
6 30
 
6.2%
8 25
 
5.2%
7 15
 
3.1%
Space Separator
ValueCountFrequency (%)
517
100.0%
Close Punctuation
ValueCountFrequency (%)
) 111
100.0%
Open Punctuation
ValueCountFrequency (%)
( 111
100.0%
Other Punctuation
ValueCountFrequency (%)
, 54
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1730
56.9%
Common 1308
43.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 121
 
7.0%
동 120
 
6.9%
포 119
 
6.9%
목 118
 
6.8%
전 115
 
6.6%
라 112
 
6.5%
도 111
 
6.4%
시 111
 
6.4%
로 110
 
6.4%
산 61
 
3.5%
Other values (99) 632
36.5%
Common
ValueCountFrequency (%)
517
39.5%
1 122
 
9.3%
) 111
 
8.5%
( 111
 
8.5%
3 76
 
5.8%
2 68
 
5.2%
, 54
 
4.1%
4 44
 
3.4%
0 42
 
3.2%
9 33
 
2.5%
Other values (5) 130
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1730
56.9%
ASCII 1308
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
517
39.5%
1 122
 
9.3%
) 111
 
8.5%
( 111
 
8.5%
3 76
 
5.8%
2 68
 
5.2%
, 54
 
4.1%
4 44
 
3.4%
0 42
 
3.2%
9 33
 
2.5%
Other values (5) 130
 
9.9%
Hangul
ValueCountFrequency (%)
남 121
 
7.0%
동 120
 
6.9%
포 119
 
6.9%
목 118
 
6.8%
전 115
 
6.6%
라 112
 
6.5%
도 111
 
6.4%
시 111
 
6.4%
로 110
 
6.4%
산 61
 
3.5%
Other values (99) 632
36.5%

전화번호
Text

Distinct75
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2023-12-12T09:03:30.281457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length13.243243
Min length9

Characters and Unicode

Total characters1470
Distinct characters24
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

Unique72 ?
Unique (%)64.9%

Sample

1st row061-242-3357
2nd row061-277-8888
3rd row061-243-1927
4th row061-278-4091
5th row061-273-6900
ValueCountFrequency (%)
개인정보로 35
16.2%
데이터 35
16.2%
미입력 35
16.2%
인한 35
16.2%
061-242-4025 2
 
0.9%
061-245-1859 2
 
0.9%
061-273-0443 1
 
0.5%
061-242-9225 1
 
0.5%
061-984-9908 1
 
0.5%
061-284-1006 1
 
0.5%
Other values (68) 68
31.5%
2023-12-12T09:03:30.701913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 151
 
10.3%
0 140
 
9.5%
2 113
 
7.7%
1 107
 
7.3%
105
 
7.1%
6 95
 
6.5%
4 71
 
4.8%
인 70
 
4.8%
8 67
 
4.6%
5 47
 
3.2%
Other values (14) 504
34.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 759
51.6%
Other Letter 455
31.0%
Dash Punctuation 151
 
10.3%
Space Separator 105
 
7.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 70
15.4%
개 35
7.7%
입 35
7.7%
미 35
7.7%
터 35
7.7%
이 35
7.7%
데 35
7.7%
한 35
7.7%
로 35
7.7%
보 35
7.7%
Other values (2) 70
15.4%
Decimal Number
ValueCountFrequency (%)
0 140
18.4%
2 113
14.9%
1 107
14.1%
6 95
12.5%
4 71
9.4%
8 67
8.8%
5 47
 
6.2%
3 45
 
5.9%
7 41
 
5.4%
9 33
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 151
100.0%
Space Separator
ValueCountFrequency (%)
105
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1015
69.0%
Hangul 455
31.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 151
14.9%
0 140
13.8%
2 113
11.1%
1 107
10.5%
105
10.3%
6 95
9.4%
4 71
7.0%
8 67
6.6%
5 47
 
4.6%
3 45
 
4.4%
Other values (2) 74
7.3%
Hangul
ValueCountFrequency (%)
인 70
15.4%
개 35
7.7%
입 35
7.7%
미 35
7.7%
터 35
7.7%
이 35
7.7%
데 35
7.7%
한 35
7.7%
로 35
7.7%
보 35
7.7%
Other values (2) 70
15.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1015
69.0%
Hangul 455
31.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 151
14.9%
0 140
13.8%
2 113
11.1%
1 107
10.5%
105
10.3%
6 95
9.4%
4 71
7.0%
8 67
6.6%
5 47
 
4.6%
3 45
 
4.4%
Other values (2) 74
7.3%
Hangul
ValueCountFrequency (%)
인 70
15.4%
개 35
7.7%
입 35
7.7%
미 35
7.7%
터 35
7.7%
이 35
7.7%
데 35
7.7%
한 35
7.7%
로 35
7.7%
보 35
7.7%
Other values (2) 70
15.4%

Correlations

2023-12-12T09:03:30.793732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종전화번호
업종1.0000.000
전화번호0.0001.000

Missing values

2023-12-12T09:03:28.313325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:03:28.405169image/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)전화번호
0국내여행업(합)목포관광전라남도 목포시 해안로148번길 35 (해안동1가)061-242-3357
1국내여행업(유)정보테마관광여행사전라남도 목포시 산정로 33 (동명동)061-277-8888
2국내여행업씨월드고속훼리전라남도 목포시 해안로148번길 14 (해안동1가)061-243-1927
3국내여행업(주)뉴월드컵관광여행사전라남도 목포시 원산로 114 (연산동)061-278-4091
4국내여행업유한회사 힐링여행사전라남도 목포시 양을로 91, 103동 103호 (산정동, 일신아파트)061-273-6900
5국내여행업(유)박계장투어전라남도 목포시 영산로59번길 8 (무안동)개인정보로 인한 데이터 미입력
6국내여행업(유)와이디여행과체험전라남도 목포시 영산로609번길 5, 우진아트빌 상가동 201호 (석현동, 우진아트빌)개인정보로 인한 데이터 미입력
7국내여행업(주)목포항공여행사전라남도 목포시 수문로 44 (남교동)061-282-9900
8국내여행업(유)뉴승달항공관광운수사전라남도 목포시 양을로 250, 2층 (용해동)061-277-5322
9국내여행업무지개여행사전라남도 목포시 해안로173번길 4-1 (해안동1가)061-244-4556
업종상호소재지(도로명)전화번호
101종합여행업한중여행사전라남도 목포시 청호로 14 (호남동)개인정보로 인한 데이터 미입력
102종합여행업(유)에스엘전라남도 목포시 해안로148번길 14 (해안동1가)061-240-2543
103종합여행업(주)레인아이전라남도 목포시 석현로 46, 목포벤처지원센터 203호 (석현동)061-277-6797
104종합여행업(주)엘비엔투어전라남도 목포시 석현로 18, 스타팰리스 608호 (석현동)개인정보로 인한 데이터 미입력
105종합여행업흰여울에듀투어전라남도 목포시 옥암로 126, 2층 (옥암동)061-285-8258
106종합여행업(유)와이디여행과체험전라남도 목포시 영산로 607, 우진아트빌 상가동 202호(석현동)061-287-3007
107종합여행업한국투어전라남도 목포시 산정로 134, 1층 (산정동)061-247-0042
108종합여행업㈜로컬에듀스토리전라남도 목포시 번화로 36-2(중앙동1가)개인정보로 인한 데이터 미입력
109종합여행업(유)나나고속관광여행사전라남도 목포시 삼학로183번길 1, 2층(산정동)061-245-1859
110종합여행업㈜오렌지전라남도 목포시 석현로 46, 311호(석현동, 목포벤처 지원센터)개인정보로 인한 데이터 미입력

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업종상호소재지(도로명)전화번호# duplicates
0국내여행업나라몰투어전라남도 목포시 영산로 93-1, 전남빌딩 3층 323호 (명륜동)061-242-40252