Overview

Dataset statistics

Number of variables5
Number of observations127
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.1 KiB
Average record size in memory41.0 B

Variable types

DateTime1
Categorical1
Text3

Dataset

Description강원특별자치도 원주시에 등록되어 있는 여행업체들에 대한 데이터로 상호명, 등록일자, 업종 구분, 소재지, 전화번호에 대한 정보를 제공합니다.
Author강원특별자치도 원주시
URLhttps://www.data.go.kr/data/15069230/fileData.do

Reproduction

Analysis started2024-04-21 01:37:53.401687
Analysis finished2024-04-21 01:37:54.994063
Duration1.59 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록일자
Date

Distinct110
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1990-01-25 00:00:00
Maximum2024-03-26 00:00:00
2024-04-21T10:37:55.071575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:37:55.214077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업종
Categorical

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
국내외여행업
69 
종합여행업
30 
국내여행업
28 

Length

Max length6
Median length6
Mean length5.5433071
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내외여행업 69
54.3%
종합여행업 30
23.6%
국내여행업 28
22.0%

Length

2024-04-21T10:37:55.372769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:37:55.481527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 69
54.3%
종합여행업 30
23.6%
국내여행업 28
22.0%

상호
Text

Distinct108
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-21T10:37:55.699165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length13
Mean length7.992126
Min length3

Characters and Unicode

Total characters1015
Distinct characters201
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)70.1%

Sample

1st row(합)원진고속관광
2nd row합자회사 원주롯데관광
3rd row(주)영서관광
4th row(합)모두여행사
5th row(합)한수관광여행사
ValueCountFrequency (%)
주식회사 24
 
13.6%
합자회사 7
 
4.0%
투어 4
 
2.3%
대한여행사 3
 
1.7%
여행사 3
 
1.7%
합)원진고속관광 2
 
1.1%
스케치 2
 
1.1%
씨티투어 2
 
1.1%
천호투어 2
 
1.1%
하나트래블(ak플라자 2
 
1.1%
Other values (113) 126
71.2%
2024-04-21T10:37:56.099955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 63
 
6.2%
50
 
4.9%
주 49
 
4.8%
어 46
 
4.5%
투 46
 
4.5%
( 40
 
3.9%
) 40
 
3.9%
행 36
 
3.5%
여 35
 
3.4%
회 33
 
3.3%
Other values (191) 577
56.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 834
82.2%
Space Separator 50
 
4.9%
Open Punctuation 40
 
3.9%
Close Punctuation 40
 
3.9%
Lowercase Letter 25
 
2.5%
Uppercase Letter 19
 
1.9%
Decimal Number 5
 
0.5%
Dash Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 63
 
7.6%
주 49
 
5.9%
어 46
 
5.5%
투 46
 
5.5%
행 36
 
4.3%
여 35
 
4.2%
회 33
 
4.0%
이 27
 
3.2%
식 25
 
3.0%
합 24
 
2.9%
Other values (158) 450
54.0%
Lowercase Letter
ValueCountFrequency (%)
a 4
16.0%
c 3
12.0%
e 3
12.0%
n 2
8.0%
i 2
8.0%
r 2
8.0%
k 2
8.0%
l 1
 
4.0%
p 1
 
4.0%
b 1
 
4.0%
Other values (4) 4
16.0%
Uppercase Letter
ValueCountFrequency (%)
T 3
15.8%
K 3
15.8%
A 3
15.8%
L 2
10.5%
D 2
10.5%
R 1
 
5.3%
U 1
 
5.3%
O 1
 
5.3%
V 1
 
5.3%
C 1
 
5.3%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
2 2
40.0%
3 1
20.0%
Space Separator
ValueCountFrequency (%)
50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 833
82.1%
Common 137
 
13.5%
Latin 44
 
4.3%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 63
 
7.6%
주 49
 
5.9%
어 46
 
5.5%
투 46
 
5.5%
행 36
 
4.3%
여 35
 
4.2%
회 33
 
4.0%
이 27
 
3.2%
식 25
 
3.0%
합 24
 
2.9%
Other values (157) 449
53.9%
Latin
ValueCountFrequency (%)
a 4
 
9.1%
T 3
 
6.8%
c 3
 
6.8%
K 3
 
6.8%
e 3
 
6.8%
A 3
 
6.8%
n 2
 
4.5%
i 2
 
4.5%
r 2
 
4.5%
L 2
 
4.5%
Other values (15) 17
38.6%
Common
ValueCountFrequency (%)
50
36.5%
( 40
29.2%
) 40
29.2%
1 2
 
1.5%
2 2
 
1.5%
- 1
 
0.7%
3 1
 
0.7%
, 1
 
0.7%
Han
ValueCountFrequency (%)
旅 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 833
82.1%
ASCII 181
 
17.8%
CJK 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 63
 
7.6%
주 49
 
5.9%
어 46
 
5.5%
투 46
 
5.5%
행 36
 
4.3%
여 35
 
4.2%
회 33
 
4.0%
이 27
 
3.2%
식 25
 
3.0%
합 24
 
2.9%
Other values (157) 449
53.9%
ASCII
ValueCountFrequency (%)
50
27.6%
( 40
22.1%
) 40
22.1%
a 4
 
2.2%
T 3
 
1.7%
c 3
 
1.7%
K 3
 
1.7%
e 3
 
1.7%
A 3
 
1.7%
n 2
 
1.1%
Other values (23) 30
16.6%
CJK
ValueCountFrequency (%)
旅 1
100.0%

소재지
Text

Distinct107
Distinct (%)84.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-21T10:37:56.429867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length43
Mean length30.606299
Min length23

Characters and Unicode

Total characters3887
Distinct characters193
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

Unique90 ?
Unique (%)70.9%

Sample

1st row강원특별자치도 원주시 원문로 4 (학성동)
2nd row강원특별자치도 원주시 평원로 6, 1층 (평원동)
3rd row강원특별자치도 원주시 천사로 203 (일산동)
4th row강원특별자치도 원주시 평원로 6, 1층 (평원동)
5th row강원특별자치도 원주시 북원로2475번길 75, 203호 (우산동, 동우아파트)
ValueCountFrequency (%)
강원특별자치도 127
 
16.7%
원주시 127
 
16.7%
단구동 19
 
2.5%
단계동 19
 
2.5%
1층 15
 
2.0%
무실동 15
 
2.0%
2층 13
 
1.7%
서원대로 11
 
1.4%
반곡동 11
 
1.4%
평원로 10
 
1.3%
Other values (231) 392
51.6%
2024-04-21T10:37:56.895434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
632
 
16.3%
원 312
 
8.0%
치 138
 
3.6%
주 137
 
3.5%
시 135
 
3.5%
자 130
 
3.3%
강 128
 
3.3%
도 127
 
3.3%
별 127
 
3.3%
특 127
 
3.3%
Other values (183) 1894
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2395
61.6%
Space Separator 632
 
16.3%
Decimal Number 529
 
13.6%
Close Punctuation 111
 
2.9%
Open Punctuation 111
 
2.9%
Other Punctuation 80
 
2.1%
Dash Punctuation 26
 
0.7%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 312
 
13.0%
치 138
 
5.8%
주 137
 
5.7%
시 135
 
5.6%
자 130
 
5.4%
강 128
 
5.3%
도 127
 
5.3%
별 127
 
5.3%
특 127
 
5.3%
동 124
 
5.2%
Other values (165) 910
38.0%
Decimal Number
ValueCountFrequency (%)
1 123
23.3%
2 107
20.2%
0 73
13.8%
3 47
 
8.9%
5 39
 
7.4%
6 37
 
7.0%
4 34
 
6.4%
8 34
 
6.4%
7 18
 
3.4%
9 17
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
K 1
33.3%
A 1
33.3%
F 1
33.3%
Space Separator
ValueCountFrequency (%)
632
100.0%
Close Punctuation
ValueCountFrequency (%)
) 111
100.0%
Open Punctuation
ValueCountFrequency (%)
( 111
100.0%
Other Punctuation
ValueCountFrequency (%)
, 80
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2395
61.6%
Common 1489
38.3%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 312
 
13.0%
치 138
 
5.8%
주 137
 
5.7%
시 135
 
5.6%
자 130
 
5.4%
강 128
 
5.3%
도 127
 
5.3%
별 127
 
5.3%
특 127
 
5.3%
동 124
 
5.2%
Other values (165) 910
38.0%
Common
ValueCountFrequency (%)
632
42.4%
1 123
 
8.3%
) 111
 
7.5%
( 111
 
7.5%
2 107
 
7.2%
, 80
 
5.4%
0 73
 
4.9%
3 47
 
3.2%
5 39
 
2.6%
6 37
 
2.5%
Other values (5) 129
 
8.7%
Latin
ValueCountFrequency (%)
K 1
33.3%
A 1
33.3%
F 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2395
61.6%
ASCII 1492
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
632
42.4%
1 123
 
8.2%
) 111
 
7.4%
( 111
 
7.4%
2 107
 
7.2%
, 80
 
5.4%
0 73
 
4.9%
3 47
 
3.2%
5 39
 
2.6%
6 37
 
2.5%
Other values (8) 132
 
8.8%
Hangul
ValueCountFrequency (%)
원 312
 
13.0%
치 138
 
5.8%
주 137
 
5.7%
시 135
 
5.6%
자 130
 
5.4%
강 128
 
5.3%
도 127
 
5.3%
별 127
 
5.3%
특 127
 
5.3%
동 124
 
5.2%
Other values (165) 910
38.0%

전화번호
Text

Distinct59
Distinct (%)46.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-21T10:37:57.130888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.023622
Min length12

Characters and Unicode

Total characters1527
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

Unique43 ?
Unique (%)33.9%

Sample

1st row033-744-4014
2nd row033-734-7000
3rd row033-765-1996
4th row033-734-7000
5th row033-000-0000
ValueCountFrequency (%)
033-000-0000 52
40.9%
033-732-8840 3
 
2.4%
033-734-7000 3
 
2.4%
033-745-1314 2
 
1.6%
033-744-4014 2
 
1.6%
033-763-1005 2
 
1.6%
033-735-1137 2
 
1.6%
033-748-8832 2
 
1.6%
033-745-6541 2
 
1.6%
033-748-7890 2
 
1.6%
Other values (49) 55
43.3%
2024-04-21T10:37:57.462427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 542
35.5%
3 306
20.0%
- 254
16.6%
7 105
 
6.9%
4 76
 
5.0%
5 51
 
3.3%
2 49
 
3.2%
8 42
 
2.8%
6 40
 
2.6%
1 38
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1273
83.4%
Dash Punctuation 254
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 542
42.6%
3 306
24.0%
7 105
 
8.2%
4 76
 
6.0%
5 51
 
4.0%
2 49
 
3.8%
8 42
 
3.3%
6 40
 
3.1%
1 38
 
3.0%
9 24
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 254
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1527
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 542
35.5%
3 306
20.0%
- 254
16.6%
7 105
 
6.9%
4 76
 
5.0%
5 51
 
3.3%
2 49
 
3.2%
8 42
 
2.8%
6 40
 
2.6%
1 38
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1527
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 542
35.5%
3 306
20.0%
- 254
16.6%
7 105
 
6.9%
4 76
 
5.0%
5 51
 
3.3%
2 49
 
3.2%
8 42
 
2.8%
6 40
 
2.6%
1 38
 
2.5%

Correlations

2024-04-21T10:37:57.564867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종전화번호
업종1.0000.000
전화번호0.0001.000

Missing values

2024-04-21T10:37:54.804865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:37:54.946601image/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

등록일자업종상호소재지전화번호
01997-05-20국내여행업(합)원진고속관광강원특별자치도 원주시 원문로 4 (학성동)033-744-4014
12001-07-25국내여행업합자회사 원주롯데관광강원특별자치도 원주시 평원로 6, 1층 (평원동)033-734-7000
22003-10-31국내여행업(주)영서관광강원특별자치도 원주시 천사로 203 (일산동)033-765-1996
32005-05-06국내여행업(합)모두여행사강원특별자치도 원주시 평원로 6, 1층 (평원동)033-734-7000
42005-09-16국내여행업(합)한수관광여행사강원특별자치도 원주시 북원로2475번길 75, 203호 (우산동, 동우아파트)033-000-0000
52007-04-19국내여행업스카이투어강원특별자치도 원주시 서원대로 125-3 (단계동)033-744-5989
62007-05-18국내여행업(합)서원여행사강원특별자치도 원주시 시청로 100 (무실동)033-735-2255
72008-06-11국내여행업하나여행사강원특별자치도 원주시 천사로 196 (일산동)033-745-1314
82009-10-26국내여행업이지투어강원특별자치도 원주시 치악로 1522-1 (단구동)033-747-5458
92013-04-24국내여행업(주)힐링투어강원특별자치도 원주시 치악로 1489 (관설동, 홈플러스 2층)033-743-7735
등록일자업종상호소재지전화번호
1172022-07-08종합여행업우아한가 주식회사강원특별자치도 원주시 소초면 무쇠점2길 24033-000-0000
1182022-08-08종합여행업DV투어강원특별자치도 원주시 천매봉길 26-12 (단구동)033-904-9783
1192022-09-06종합여행업(주)와이지투어강원특별자치도 원주시 양지로 80, 112호 (반곡동)033-000-0000
1202023-02-09종합여행업감성 여행사강원특별자치도 원주시 북원로 1928, 이마트 원주점 1층 (무실동)033-000-0000
1212023-02-10종합여행업旅, 다비강원특별자치도 원주시 송림길 18-2, 1층 (개운동)033-000-0000
1222023-07-07종합여행업(주)한국농업농촌센터강원특별자치도 원주시 능라동길 7, 401호 (무실동)033-765-0293
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