Overview

Dataset statistics

Number of variables5
Number of observations62
Missing cells13
Missing cells (%)4.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory43.1 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description부산광역시 수영구 여행업(국내, 국내외, 종합) 등록현황 데이터로 상호명, 주소, 연락처 등의 정보를 제공합니다.
Author부산광역시 수영구
URLhttps://www.data.go.kr/data/3042065/fileData.do

Alerts

연번 is highly overall correlated with 업종High correlation
업종 is highly overall correlated with 연번High correlation
전화번호 has 13 (21.0%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 20:36:41.541097
Analysis finished2024-03-14 20:36:42.796596
Duration1.26 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.5
Minimum1
Maximum62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size686.0 B
2024-03-15T05:36:42.949276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.05
Q116.25
median31.5
Q346.75
95-th percentile58.95
Maximum62
Range61
Interquartile range (IQR)30.5

Descriptive statistics

Standard deviation18.041619
Coefficient of variation (CV)0.5727498
Kurtosis-1.2
Mean31.5
Median Absolute Deviation (MAD)15.5
Skewness0
Sum1953
Variance325.5
MonotonicityStrictly increasing
2024-03-15T05:36:43.209615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
48 1
 
1.6%
35 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
42 1
 
1.6%
Other values (52) 52
83.9%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
62 1
1.6%
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%
54 1
1.6%
53 1
1.6%

업종
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size624.0 B
국내외여행업
36 
종합여행업
17 
국내여행업
9 

Length

Max length6
Median length6
Mean length5.5806452
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내외여행업 36
58.1%
종합여행업 17
27.4%
국내여행업 9
 
14.5%

Length

2024-03-15T05:36:43.642523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:36:43.922833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 36
58.1%
종합여행업 17
27.4%
국내여행업 9
 
14.5%

업체명
Text

Distinct59
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size624.0 B
2024-03-15T05:36:44.878674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12.5
Mean length8.0645161
Min length4

Characters and Unicode

Total characters500
Distinct characters140
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)90.3%

Sample

1st row강남고속관광투어(주)
2nd row웰빙투어
3rd row(주)에버그린투어
4th row동해여행사
5th row다모여투어
ValueCountFrequency (%)
주식회사 6
 
7.8%
강남고속관광투어(주 2
 
2.6%
하하투어 2
 
2.6%
투어 2
 
2.6%
주)에버그린투어 2
 
2.6%
서비스 1
 
1.3%
시스템 1
 
1.3%
고고투어엔마이스(주 1
 
1.3%
에이블투어 1
 
1.3%
주)월드시티글로벌 1
 
1.3%
Other values (58) 58
75.3%
2024-03-15T05:36:46.273991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 37
 
7.4%
) 31
 
6.2%
( 31
 
6.2%
투 29
 
5.8%
어 28
 
5.6%
사 19
 
3.8%
여 18
 
3.6%
스 18
 
3.6%
행 16
 
3.2%
15
 
3.0%
Other values (130) 258
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 417
83.4%
Close Punctuation 31
 
6.2%
Open Punctuation 31
 
6.2%
Space Separator 15
 
3.0%
Other Punctuation 3
 
0.6%
Uppercase Letter 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 37
 
8.9%
투 29
 
7.0%
어 28
 
6.7%
사 19
 
4.6%
여 18
 
4.3%
스 18
 
4.3%
행 16
 
3.8%
이 12
 
2.9%
하 8
 
1.9%
에 6
 
1.4%
Other values (123) 226
54.2%
Other Punctuation
ValueCountFrequency (%)
· 2
66.7%
. 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
W 2
66.7%
O 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 417
83.4%
Common 80
 
16.0%
Latin 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 37
 
8.9%
투 29
 
7.0%
어 28
 
6.7%
사 19
 
4.6%
여 18
 
4.3%
스 18
 
4.3%
행 16
 
3.8%
이 12
 
2.9%
하 8
 
1.9%
에 6
 
1.4%
Other values (123) 226
54.2%
Common
ValueCountFrequency (%)
) 31
38.8%
( 31
38.8%
15
18.8%
· 2
 
2.5%
. 1
 
1.2%
Latin
ValueCountFrequency (%)
W 2
66.7%
O 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 417
83.4%
ASCII 81
 
16.2%
None 2
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 37
 
8.9%
투 29
 
7.0%
어 28
 
6.7%
사 19
 
4.6%
여 18
 
4.3%
스 18
 
4.3%
행 16
 
3.8%
이 12
 
2.9%
하 8
 
1.9%
에 6
 
1.4%
Other values (123) 226
54.2%
ASCII
ValueCountFrequency (%)
) 31
38.3%
( 31
38.3%
15
18.5%
W 2
 
2.5%
O 1
 
1.2%
. 1
 
1.2%
None
ValueCountFrequency (%)
· 2
100.0%

소재지(도로명)
Text

Distinct57
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size624.0 B
2024-03-15T05:36:47.524821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length42.5
Mean length34.483871
Min length23

Characters and Unicode

Total characters2138
Distinct characters130
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

Unique52 ?
Unique (%)83.9%

Sample

1st row부산광역시 수영구 과정로 55 (망미동, 망미1동 새마을금고)
2nd row부산광역시 수영구 장대골로7번길 45, 1423호 (광안동, 광안유림노르웨이아침)
3rd row부산광역시 수영구 연수로 265-1, 1층 (망미동)
4th row부산광역시 수영구 수영로 662 (광안동)
5th row부산광역시 수영구 수영로 754, 상가동 201호 (민락동, 센텀비스타동원)
ValueCountFrequency (%)
부산광역시 62
 
14.7%
수영구 62
 
14.7%
수영로 23
 
5.4%
광안동 23
 
5.4%
남천동 16
 
3.8%
3층 10
 
2.4%
4층 10
 
2.4%
수영동 9
 
2.1%
망미동 7
 
1.7%
민락동 7
 
1.7%
Other values (133) 194
45.9%
2024-03-15T05:36:49.156273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
361
 
16.9%
수 110
 
5.1%
영 104
 
4.9%
광 100
 
4.7%
동 76
 
3.6%
, 66
 
3.1%
로 66
 
3.1%
1 65
 
3.0%
구 65
 
3.0%
산 63
 
2.9%
Other values (120) 1062
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1221
57.1%
Space Separator 361
 
16.9%
Decimal Number 357
 
16.7%
Other Punctuation 66
 
3.1%
Close Punctuation 62
 
2.9%
Open Punctuation 62
 
2.9%
Dash Punctuation 7
 
0.3%
Uppercase Letter 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 110
 
9.0%
영 104
 
8.5%
광 100
 
8.2%
동 76
 
6.2%
로 66
 
5.4%
구 65
 
5.3%
산 63
 
5.2%
시 63
 
5.2%
역 63
 
5.2%
부 62
 
5.1%
Other values (103) 449
36.8%
Decimal Number
ValueCountFrequency (%)
1 65
18.2%
2 46
12.9%
4 39
10.9%
6 39
10.9%
3 38
10.6%
5 36
10.1%
0 33
9.2%
7 26
 
7.3%
9 20
 
5.6%
8 15
 
4.2%
Space Separator
ValueCountFrequency (%)
361
100.0%
Other Punctuation
ValueCountFrequency (%)
, 66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1221
57.1%
Common 915
42.8%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 110
 
9.0%
영 104
 
8.5%
광 100
 
8.2%
동 76
 
6.2%
로 66
 
5.4%
구 65
 
5.3%
산 63
 
5.2%
시 63
 
5.2%
역 63
 
5.2%
부 62
 
5.1%
Other values (103) 449
36.8%
Common
ValueCountFrequency (%)
361
39.5%
, 66
 
7.2%
1 65
 
7.1%
) 62
 
6.8%
( 62
 
6.8%
2 46
 
5.0%
4 39
 
4.3%
6 39
 
4.3%
3 38
 
4.2%
5 36
 
3.9%
Other values (5) 101
 
11.0%
Latin
ValueCountFrequency (%)
F 1
50.0%
e 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1221
57.1%
ASCII 917
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
361
39.4%
, 66
 
7.2%
1 65
 
7.1%
) 62
 
6.8%
( 62
 
6.8%
2 46
 
5.0%
4 39
 
4.3%
6 39
 
4.3%
3 38
 
4.1%
5 36
 
3.9%
Other values (7) 103
 
11.2%
Hangul
ValueCountFrequency (%)
수 110
 
9.0%
영 104
 
8.5%
광 100
 
8.2%
동 76
 
6.2%
로 66
 
5.4%
구 65
 
5.3%
산 63
 
5.2%
시 63
 
5.2%
역 63
 
5.2%
부 62
 
5.1%
Other values (103) 449
36.8%

전화번호
Text

MISSING 

Distinct45
Distinct (%)91.8%
Missing13
Missing (%)21.0%
Memory size624.0 B
2024-03-15T05:36:50.083444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.755102
Min length9

Characters and Unicode

Total characters576
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

Unique41 ?
Unique (%)83.7%

Sample

1st row051-529-9898
2nd row051-919-2231
3rd row051-632-9977
4th row051-861-2991
5th row051-304-3991
ValueCountFrequency (%)
051-632-9977 2
 
4.1%
051-622-7253 2
 
4.1%
051-529-9898 2
 
4.1%
070-4320-6549 2
 
4.1%
051-624-2972 1
 
2.0%
051-757-0088 1
 
2.0%
1800-8757 1
 
2.0%
1666-6662 1
 
2.0%
051-747-4807 1
 
2.0%
070-7012-4162 1
 
2.0%
Other values (35) 35
71.4%
2024-03-15T05:36:51.442841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 93
16.1%
0 85
14.8%
5 80
13.9%
1 76
13.2%
2 46
8.0%
6 42
7.3%
7 41
7.1%
8 38
6.6%
9 32
 
5.6%
4 22
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 483
83.9%
Dash Punctuation 93
 
16.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 85
17.6%
5 80
16.6%
1 76
15.7%
2 46
9.5%
6 42
8.7%
7 41
8.5%
8 38
7.9%
9 32
 
6.6%
4 22
 
4.6%
3 21
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 93
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 576
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 93
16.1%
0 85
14.8%
5 80
13.9%
1 76
13.2%
2 46
8.0%
6 42
7.3%
7 41
7.1%
8 38
6.6%
9 32
 
5.6%
4 22
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 576
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 93
16.1%
0 85
14.8%
5 80
13.9%
1 76
13.2%
2 46
8.0%
6 42
7.3%
7 41
7.1%
8 38
6.6%
9 32
 
5.6%
4 22
 
3.8%

Interactions

2024-03-15T05:36:42.019436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T05:36:51.708417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종업체명소재지(도로명)전화번호
연번1.0000.9310.8250.6920.762
업종0.9311.0000.0000.0000.000
업체명0.8250.0001.0001.0001.000
소재지(도로명)0.6920.0001.0001.0000.999
전화번호0.7620.0001.0000.9991.000
2024-03-15T05:36:52.182040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종
연번1.0000.852
업종0.8521.000

Missing values

2024-03-15T05:36:42.348986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T05:36:42.663169image/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

연번업종업체명소재지(도로명)전화번호
01국내여행업강남고속관광투어(주)부산광역시 수영구 과정로 55 (망미동, 망미1동 새마을금고)051-529-9898
12국내여행업웰빙투어부산광역시 수영구 장대골로7번길 45, 1423호 (광안동, 광안유림노르웨이아침)051-919-2231
23국내여행업(주)에버그린투어부산광역시 수영구 연수로 265-1, 1층 (망미동)051-632-9977
34국내여행업동해여행사부산광역시 수영구 수영로 662 (광안동)051-861-2991
45국내여행업다모여투어부산광역시 수영구 수영로 754, 상가동 201호 (민락동, 센텀비스타동원)051-304-3991
56국내여행업하하투어부산광역시 수영구 수영로 411, 글로리메디컬센터 6층 641호 (남천동)051-622-7253
67국내여행업모닝투어부산광역시 수영구 수영로 421-1, 로얄오피스텔 907호 (남천동)051-626-8066
78국내여행업모아디자인부산광역시 수영구 무학로 46, 금강빌딩 4층 (광안동)<NA>
89국내여행업WOW 부산여행사부산광역시 수영구 수영로 662, 5층 (광안동)<NA>
910국내외여행업(주)아프로투어부산광역시 수영구 황령대로 479, 4층 (남천동)1600-8532
연번업종업체명소재지(도로명)전화번호
5253종합여행업주식회사 해암부산광역시 수영구 광일로 63, 102동 4층 402호 (광안동, 광원아파트)051-726-8882
5354종합여행업여왕의 놀이터부산광역시 수영구 연수로357번길 35 (수영동)<NA>
5455종합여행업(주)부산의아름다운길부산광역시 수영구 광남로 37, 하나은행 4층 (남천동)051-898-4573
5556종합여행업(주)뚱스커뮤니티부산광역시 수영구 수영로528번길 22, 601호 (광안동, 상상가)051-928-7788
5657종합여행업(주)금손투어부산광역시 수영구 수영로 668, 화목오피스텔 1009호 (광안동)051-756-1009
5758종합여행업주식회사 투게더부산광역시 수영구 광안해변로 423-1, 3층 (민락동)051-711-2228
5859종합여행업투어뱅크 주식회사부산광역시 수영구 수영로 668, 화목오피스텔 11층 1101호 (광안동)051-753-4809
5960종합여행업와이썬코리아(주)부산광역시 수영구 수영로575번길 33, 4층 (광안동)<NA>
6061종합여행업지엠피 서비스 시스템부산광역시 수영구 수영로 759, 알파오피스텔 3층 307호 (수영동)051-757-0088
6162종합여행업해운대고속관광 협동조합부산광역시 수영구 구락로 158 (망미동)051-514-9111