Overview

Dataset statistics

Number of variables4
Number of observations102
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory33.3 B

Variable types

Categorical1
Text3

Dataset

Description대구광역시_수성구_여행업 현황_20230911
Author대구광역시 수성구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3075495&dataSetDetailId=3075495196f16bb2c197&provdMethod=FILE

Reproduction

Analysis started2024-04-21 11:42:51.854686
Analysis finished2024-04-21 11:42:53.118822
Duration1.26 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size944.0 B
국내외여행업
62 
종합여행업
26 
국내여행업
14 

Length

Max length6
Median length6
Mean length5.6078431
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내외여행업 62
60.8%
종합여행업 26
25.5%
국내여행업 14
 
13.7%

Length

2024-04-21T20:42:53.334270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:42:53.654421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 62
60.8%
종합여행업 26
25.5%
국내여행업 14
 
13.7%

상호
Text

Distinct95
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size944.0 B
2024-04-21T20:42:54.347439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length7.9705882
Min length4

Characters and Unicode

Total characters813
Distinct characters166
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)86.3%

Sample

1st row(주)알프스여행사
2nd row(주)범어투어
3rd row삼성고속관광(주)
4th row(주)제이에스 월드
5th row제일여행
ValueCountFrequency (%)
주식회사 11
 
8.7%
여행사 4
 
3.1%
주)알프스여행사 2
 
1.6%
주)범어투어 2
 
1.6%
주 2
 
1.6%
투어 2
 
1.6%
제일여행 2
 
1.6%
주)영남투어 2
 
1.6%
골프헌터 2
 
1.6%
주)칸여행사 2
 
1.6%
Other values (95) 96
75.6%
2024-04-21T20:42:55.502861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 67
 
8.2%
( 55
 
6.8%
) 55
 
6.8%
어 40
 
4.9%
사 39
 
4.8%
투 39
 
4.8%
행 34
 
4.2%
여 33
 
4.1%
25
 
3.1%
스 21
 
2.6%
Other values (156) 405
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 676
83.1%
Open Punctuation 55
 
6.8%
Close Punctuation 55
 
6.8%
Space Separator 25
 
3.1%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 67
 
9.9%
어 40
 
5.9%
사 39
 
5.8%
투 39
 
5.8%
행 34
 
5.0%
여 33
 
4.9%
스 21
 
3.1%
이 16
 
2.4%
관 14
 
2.1%
광 14
 
2.1%
Other values (151) 359
53.1%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
& 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Space Separator
ValueCountFrequency (%)
25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 676
83.1%
Common 137
 
16.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 67
 
9.9%
어 40
 
5.9%
사 39
 
5.8%
투 39
 
5.8%
행 34
 
5.0%
여 33
 
4.9%
스 21
 
3.1%
이 16
 
2.4%
관 14
 
2.1%
광 14
 
2.1%
Other values (151) 359
53.1%
Common
ValueCountFrequency (%)
( 55
40.1%
) 55
40.1%
25
18.2%
/ 1
 
0.7%
& 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 676
83.1%
ASCII 137
 
16.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 67
 
9.9%
어 40
 
5.9%
사 39
 
5.8%
투 39
 
5.8%
행 34
 
5.0%
여 33
 
4.9%
스 21
 
3.1%
이 16
 
2.4%
관 14
 
2.1%
광 14
 
2.1%
Other values (151) 359
53.1%
ASCII
ValueCountFrequency (%)
( 55
40.1%
) 55
40.1%
25
18.2%
/ 1
 
0.7%
& 1
 
0.7%

소재지(도로명)
Text

Distinct89
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Memory size944.0 B
2024-04-21T20:42:56.423563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length42
Mean length32.264706
Min length21

Characters and Unicode

Total characters3291
Distinct characters140
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

Unique76 ?
Unique (%)74.5%

Sample

1st row대구광역시 수성구 지범로 91 (지산동)
2nd row대구광역시 수성구 달구벌대로 2378 (범어동,2층)
3rd row대구광역시 수성구 들안로 250-1 (수성동3가)
4th row대구광역시 수성구 욱수천로 38-9 (욱수동)
5th row대구광역시 수성구 범어천로 167, 진영빌딩(카페24창업센터) 5층 (수성동4가)
ValueCountFrequency (%)
대구광역시 102
 
15.7%
수성구 102
 
15.7%
범어동 29
 
4.5%
동대구로 17
 
2.6%
3층 13
 
2.0%
지산동 12
 
1.9%
만촌동 10
 
1.5%
달구벌대로 9
 
1.4%
두산동 8
 
1.2%
들안로 6
 
0.9%
Other values (205) 340
52.5%
2024-04-21T20:42:57.797714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
548
 
16.7%
구 244
 
7.4%
대 144
 
4.4%
동 137
 
4.2%
수 136
 
4.1%
성 133
 
4.0%
시 119
 
3.6%
1 108
 
3.3%
) 104
 
3.2%
( 104
 
3.2%
Other values (130) 1514
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1895
57.6%
Space Separator 548
 
16.7%
Decimal Number 527
 
16.0%
Close Punctuation 104
 
3.2%
Open Punctuation 104
 
3.2%
Other Punctuation 90
 
2.7%
Dash Punctuation 14
 
0.4%
Uppercase Letter 9
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 244
 
12.9%
대 144
 
7.6%
동 137
 
7.2%
수 136
 
7.2%
성 133
 
7.0%
시 119
 
6.3%
광 102
 
5.4%
역 102
 
5.4%
로 102
 
5.4%
범 58
 
3.1%
Other values (112) 618
32.6%
Decimal Number
ValueCountFrequency (%)
1 108
20.5%
3 67
12.7%
2 67
12.7%
0 62
11.8%
4 53
10.1%
8 41
 
7.8%
6 40
 
7.6%
9 34
 
6.5%
7 30
 
5.7%
5 25
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
S 4
44.4%
K 3
33.3%
B 2
22.2%
Space Separator
ValueCountFrequency (%)
548
100.0%
Close Punctuation
ValueCountFrequency (%)
) 104
100.0%
Open Punctuation
ValueCountFrequency (%)
( 104
100.0%
Other Punctuation
ValueCountFrequency (%)
, 90
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1895
57.6%
Common 1387
42.1%
Latin 9
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 244
 
12.9%
대 144
 
7.6%
동 137
 
7.2%
수 136
 
7.2%
성 133
 
7.0%
시 119
 
6.3%
광 102
 
5.4%
역 102
 
5.4%
로 102
 
5.4%
범 58
 
3.1%
Other values (112) 618
32.6%
Common
ValueCountFrequency (%)
548
39.5%
1 108
 
7.8%
) 104
 
7.5%
( 104
 
7.5%
, 90
 
6.5%
3 67
 
4.8%
2 67
 
4.8%
0 62
 
4.5%
4 53
 
3.8%
8 41
 
3.0%
Other values (5) 143
 
10.3%
Latin
ValueCountFrequency (%)
S 4
44.4%
K 3
33.3%
B 2
22.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1895
57.6%
ASCII 1396
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
548
39.3%
1 108
 
7.7%
) 104
 
7.4%
( 104
 
7.4%
, 90
 
6.4%
3 67
 
4.8%
2 67
 
4.8%
0 62
 
4.4%
4 53
 
3.8%
8 41
 
2.9%
Other values (8) 152
 
10.9%
Hangul
ValueCountFrequency (%)
구 244
 
12.9%
대 144
 
7.6%
동 137
 
7.2%
수 136
 
7.2%
성 133
 
7.0%
시 119
 
6.3%
광 102
 
5.4%
역 102
 
5.4%
로 102
 
5.4%
범 58
 
3.1%
Other values (112) 618
32.6%

전화번호
Text

Distinct59
Distinct (%)57.8%
Missing0
Missing (%)0.0%
Memory size944.0 B
2024-04-21T20:42:58.645758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.078431
Min length7

Characters and Unicode

Total characters1028
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)52.9%

Sample

1st row053-784-9005
2nd row053-755-8888
3rd row053-427-3077
4th row개인정보 포함
5th row053-744-1402
ValueCountFrequency (%)
개인정보 40
28.2%
포함 40
28.2%
053-755-8888 2
 
1.4%
053-744-1402 2
 
1.4%
053-247-6768 2
 
1.4%
053-784-9005 2
 
1.4%
053-755-1113 1
 
0.7%
053-655-8005 1
 
0.7%
053-759-5125 1
 
0.7%
053-252-7755 1
 
0.7%
Other values (50) 50
35.2%
2024-04-21T20:42:59.898524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 127
12.4%
- 124
12.1%
5 112
 
10.9%
3 83
 
8.1%
7 65
 
6.3%
2 54
 
5.3%
4 47
 
4.6%
8 47
 
4.6%
인 40
 
3.9%
개 40
 
3.9%
Other values (9) 289
28.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 623
60.6%
Other Letter 240
 
23.3%
Dash Punctuation 124
 
12.1%
Space Separator 40
 
3.9%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 127
20.4%
5 112
18.0%
3 83
13.3%
7 65
10.4%
2 54
8.7%
4 47
 
7.5%
8 47
 
7.5%
1 35
 
5.6%
6 34
 
5.5%
9 19
 
3.0%
Other Letter
ValueCountFrequency (%)
인 40
16.7%
개 40
16.7%
함 40
16.7%
포 40
16.7%
보 40
16.7%
정 40
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 124
100.0%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 788
76.7%
Hangul 240
 
23.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 127
16.1%
- 124
15.7%
5 112
14.2%
3 83
10.5%
7 65
8.2%
2 54
6.9%
4 47
 
6.0%
8 47
 
6.0%
40
 
5.1%
1 35
 
4.4%
Other values (3) 54
6.9%
Hangul
ValueCountFrequency (%)
인 40
16.7%
개 40
16.7%
함 40
16.7%
포 40
16.7%
보 40
16.7%
정 40
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 788
76.7%
Hangul 240
 
23.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 127
16.1%
- 124
15.7%
5 112
14.2%
3 83
10.5%
7 65
8.2%
2 54
6.9%
4 47
 
6.0%
8 47
 
6.0%
40
 
5.1%
1 35
 
4.4%
Other values (3) 54
6.9%
Hangul
ValueCountFrequency (%)
인 40
16.7%
개 40
16.7%
함 40
16.7%
포 40
16.7%
보 40
16.7%
정 40
16.7%

Correlations

2024-04-21T20:43:00.159818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종상호소재지(도로명)전화번호
업종1.0000.0000.0000.000
상호0.0001.0001.0001.000
소재지(도로명)0.0001.0001.0000.996
전화번호0.0001.0000.9961.000

Missing values

2024-04-21T20:42:52.735366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T20:42:53.012203image/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(주)알프스여행사대구광역시 수성구 지범로 91 (지산동)053-784-9005
1국내여행업(주)범어투어대구광역시 수성구 달구벌대로 2378 (범어동,2층)053-755-8888
2국내여행업삼성고속관광(주)대구광역시 수성구 들안로 250-1 (수성동3가)053-427-3077
3국내여행업(주)제이에스 월드대구광역시 수성구 욱수천로 38-9 (욱수동)개인정보 포함
4국내여행업제일여행대구광역시 수성구 범어천로 167, 진영빌딩(카페24창업센터) 5층 (수성동4가)053-744-1402
5국내여행업(주)하이투어대구광역시 수성구 동대구로 386-0 (범어동, 킹덤오피스텔 1004호)053-247-6768
6국내여행업제스트투어/제스트 디자인건축대구광역시 수성구 용학로 189, 114동 8호 (지산동, 지산시영1단지)053-262-6060
7국내여행업주식회사 에이치투커뮤니케이션즈대구광역시 수성구 수성로 149, 3층 (중동)053-767-0220
8국내여행업영진관광문화협동조합대구광역시 수성구 동대구로14길 45 (지산동)개인정보 포함
9국내여행업(주)칸여행사대구광역시 수성구 동대구로 274, 7동 103호 (범어동, 궁전맨션)개인정보 포함
업종상호소재지(도로명)전화번호
92종합여행업(주)차차차투어대구광역시 수성구 동대구로 95, 지하1층 (두산동, 수성 SK리더스뷰)053-764-2040
93종합여행업(주)더나은여행대구광역시 수성구 동원로 148, 2층 (만촌동)개인정보 포함
94종합여행업(주)투마로우랜드대구광역시 수성구 달구벌대로480길 9, 범어네거리 클래시아 501호 (범어동)070-4300-0501
95종합여행업(주)덱스코커뮤니케이션즈대구광역시 수성구 화랑로8길 11-13, 성화빌딩 6층 (만촌동)054-746-0807
96종합여행업주식회사 에스앤씨대구광역시 수성구 동대구로29길 48, 2층 (황금동)개인정보 포함
97종합여행업(주)머스트고대구광역시 수성구 명덕로 422, 10층 (수성동2가)053-255-5992
98종합여행업요아럽 글로벌대구광역시 수성구 청수로26길 36, 한성스퀘어 6층 601호 (두산동)070-4797-1712
99종합여행업해피한 여행사대구광역시 수성구 신천동로 272 (수성동1가)개인정보 포함
100종합여행업정원커뮤니케이션 주식회사대구광역시 수성구 알파시티1로4길 8, 7층 713호 (대흥동)개인정보 포함
101종합여행업(주)세일관광여행사대구광역시 수성구 지범로 70, 3층 (지산동)053-784-6701