Overview

Dataset statistics

Number of variables4
Number of observations61
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory35.1 B

Variable types

Numeric1
Categorical1
Text2

Dataset

Description금정구에 소재지를 둔 여행사 관련 등록 현황으로 여행사 구분(국내여행업, 국내외여행업, 종합여행업) 및 업체명 사업장 소재지에 관한 정보를 제공합니다.
Author부산광역시 금정구
URLhttps://www.data.go.kr/data/3070504/fileData.do

Alerts

연번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 19:18:15.495068
Analysis finished2024-03-14 19:18:16.694063
Duration1.2 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31
Minimum1
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size677.0 B
2024-03-15T04:18:16.905829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q116
median31
Q346
95-th percentile58
Maximum61
Range60
Interquartile range (IQR)30

Descriptive statistics

Standard deviation17.752934
Coefficient of variation (CV)0.57267529
Kurtosis-1.2
Mean31
Median Absolute Deviation (MAD)15
Skewness0
Sum1891
Variance315.16667
MonotonicityStrictly increasing
2024-03-15T04:18:17.228323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
47 1
 
1.6%
34 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%
Other values (51) 51
83.6%
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 (%)
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%
52 1
1.6%

구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size616.0 B
국내외여행업
34 
종합여행업
14 
국내여행업
13 

Length

Max length6
Median length6
Mean length5.557377
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내외여행업 34
55.7%
종합여행업 14
23.0%
국내여행업 13
 
21.3%

Length

2024-03-15T04:18:17.473655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:18:17.897071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 34
55.7%
종합여행업 14
23.0%
국내여행업 13
 
21.3%

여행사명
Text

Distinct55
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size616.0 B
2024-03-15T04:18:18.757889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length8.557377
Min length3

Characters and Unicode

Total characters522
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

Unique49 ?
Unique (%)80.3%

Sample

1st row에이원항공여행사
2nd row서희여행사(유)
3rd row주식회사 찰리정투어
4th row뉴부산투어 유한회사
5th row(주)이제이투어
ValueCountFrequency (%)
주식회사 10
 
11.8%
경남고속 3
 
3.5%
에이원항공여행사 2
 
2.4%
뉴부산관광(주 2
 
2.4%
tour 2
 
2.4%
찰리정투어 2
 
2.4%
뉴부산투어 2
 
2.4%
서희여행사(유 2
 
2.4%
주)이제이투어 2
 
2.4%
유한회사 2
 
2.4%
Other values (56) 56
65.9%
2024-03-15T04:18:19.929481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 35
 
6.7%
사 29
 
5.6%
) 28
 
5.4%
( 28
 
5.4%
24
 
4.6%
어 23
 
4.4%
투 23
 
4.4%
여 18
 
3.4%
행 18
 
3.4%
이 14
 
2.7%
Other values (130) 282
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 405
77.6%
Uppercase Letter 29
 
5.6%
Close Punctuation 28
 
5.4%
Open Punctuation 28
 
5.4%
Space Separator 24
 
4.6%
Lowercase Letter 6
 
1.1%
Other Punctuation 1
 
0.2%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 35
 
8.6%
사 29
 
7.2%
어 23
 
5.7%
투 23
 
5.7%
여 18
 
4.4%
행 18
 
4.4%
이 14
 
3.5%
회 12
 
3.0%
식 11
 
2.7%
광 9
 
2.2%
Other values (107) 213
52.6%
Uppercase Letter
ValueCountFrequency (%)
T 5
17.2%
O 3
10.3%
E 3
10.3%
C 2
 
6.9%
A 2
 
6.9%
H 2
 
6.9%
R 2
 
6.9%
G 2
 
6.9%
U 2
 
6.9%
Y 2
 
6.9%
Other values (4) 4
13.8%
Lowercase Letter
ValueCountFrequency (%)
o 2
33.3%
r 2
33.3%
p 1
16.7%
u 1
16.7%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 405
77.6%
Common 82
 
15.7%
Latin 35
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 35
 
8.6%
사 29
 
7.2%
어 23
 
5.7%
투 23
 
5.7%
여 18
 
4.4%
행 18
 
4.4%
이 14
 
3.5%
회 12
 
3.0%
식 11
 
2.7%
광 9
 
2.2%
Other values (107) 213
52.6%
Latin
ValueCountFrequency (%)
T 5
14.3%
O 3
 
8.6%
E 3
 
8.6%
o 2
 
5.7%
C 2
 
5.7%
r 2
 
5.7%
A 2
 
5.7%
H 2
 
5.7%
R 2
 
5.7%
G 2
 
5.7%
Other values (8) 10
28.6%
Common
ValueCountFrequency (%)
) 28
34.1%
( 28
34.1%
24
29.3%
. 1
 
1.2%
1 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 405
77.6%
ASCII 117
 
22.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 35
 
8.6%
사 29
 
7.2%
어 23
 
5.7%
투 23
 
5.7%
여 18
 
4.4%
행 18
 
4.4%
이 14
 
3.5%
회 12
 
3.0%
식 11
 
2.7%
광 9
 
2.2%
Other values (107) 213
52.6%
ASCII
ValueCountFrequency (%)
) 28
23.9%
( 28
23.9%
24
20.5%
T 5
 
4.3%
O 3
 
2.6%
E 3
 
2.6%
o 2
 
1.7%
C 2
 
1.7%
r 2
 
1.7%
A 2
 
1.7%
Other values (13) 18
15.4%

소재지
Text

Distinct55
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size616.0 B
2024-03-15T04:18:21.160965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length38
Mean length30.163934
Min length21

Characters and Unicode

Total characters1840
Distinct characters113
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

Unique49 ?
Unique (%)80.3%

Sample

1st row부산광역시 금정구 금단로 195 (남산동)
2nd row부산광역시 금정구 금정로207번길 7-1 (구서동)
3rd row부산광역시 금정구 금정로 138 (장전동, K빌딩)
4th row부산광역시 금정구 시실로 7 (부곡동)
5th row부산광역시 금정구 중앙대로1841번길 3 (구서동)
ValueCountFrequency (%)
부산광역시 61
16.7%
금정구 61
16.7%
구서동 20
 
5.5%
장전동 18
 
4.9%
금정로 11
 
3.0%
2층 10
 
2.7%
부곡동 10
 
2.7%
중앙대로 9
 
2.5%
4층 8
 
2.2%
남산동 7
 
1.9%
Other values (116) 150
41.1%
2024-03-15T04:18:22.675927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
304
 
16.5%
금 88
 
4.8%
구 82
 
4.5%
부 79
 
4.3%
정 78
 
4.2%
산 74
 
4.0%
동 67
 
3.6%
시 65
 
3.5%
로 62
 
3.4%
) 62
 
3.4%
Other values (103) 879
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1068
58.0%
Space Separator 304
 
16.5%
Decimal Number 282
 
15.3%
Close Punctuation 62
 
3.4%
Open Punctuation 62
 
3.4%
Other Punctuation 46
 
2.5%
Dash Punctuation 11
 
0.6%
Uppercase Letter 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 88
 
8.2%
구 82
 
7.7%
부 79
 
7.4%
정 78
 
7.3%
산 74
 
6.9%
동 67
 
6.3%
시 65
 
6.1%
로 62
 
5.8%
광 61
 
5.7%
역 61
 
5.7%
Other values (84) 351
32.9%
Decimal Number
ValueCountFrequency (%)
1 59
20.9%
2 46
16.3%
4 33
11.7%
3 28
9.9%
0 25
8.9%
7 20
 
7.1%
5 19
 
6.7%
8 18
 
6.4%
6 17
 
6.0%
9 17
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
K 2
40.0%
C 1
20.0%
N 1
20.0%
A 1
20.0%
Space Separator
ValueCountFrequency (%)
304
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Other Punctuation
ValueCountFrequency (%)
, 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1068
58.0%
Common 767
41.7%
Latin 5
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 88
 
8.2%
구 82
 
7.7%
부 79
 
7.4%
정 78
 
7.3%
산 74
 
6.9%
동 67
 
6.3%
시 65
 
6.1%
로 62
 
5.8%
광 61
 
5.7%
역 61
 
5.7%
Other values (84) 351
32.9%
Common
ValueCountFrequency (%)
304
39.6%
) 62
 
8.1%
( 62
 
8.1%
1 59
 
7.7%
2 46
 
6.0%
, 46
 
6.0%
4 33
 
4.3%
3 28
 
3.7%
0 25
 
3.3%
7 20
 
2.6%
Other values (5) 82
 
10.7%
Latin
ValueCountFrequency (%)
K 2
40.0%
C 1
20.0%
N 1
20.0%
A 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1068
58.0%
ASCII 772
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
304
39.4%
) 62
 
8.0%
( 62
 
8.0%
1 59
 
7.6%
2 46
 
6.0%
, 46
 
6.0%
4 33
 
4.3%
3 28
 
3.6%
0 25
 
3.2%
7 20
 
2.6%
Other values (9) 87
 
11.3%
Hangul
ValueCountFrequency (%)
금 88
 
8.2%
구 82
 
7.7%
부 79
 
7.4%
정 78
 
7.3%
산 74
 
6.9%
동 67
 
6.3%
시 65
 
6.1%
로 62
 
5.8%
광 61
 
5.7%
역 61
 
5.7%
Other values (84) 351
32.9%

Interactions

2024-03-15T04:18:15.824677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T04:18:22.840496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분여행사명소재지
연번1.0000.9440.6200.620
구분0.9441.0000.0000.000
여행사명0.6200.0001.0001.000
소재지0.6200.0001.0001.000
2024-03-15T04:18:22.996833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.900
구분0.9001.000

Missing values

2024-03-15T04:18:16.170280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T04:18:16.331555image/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

연번구분여행사명소재지
01국내여행업에이원항공여행사부산광역시 금정구 금단로 195 (남산동)
12국내여행업서희여행사(유)부산광역시 금정구 금정로207번길 7-1 (구서동)
23국내여행업주식회사 찰리정투어부산광역시 금정구 금정로 138 (장전동, K빌딩)
34국내여행업뉴부산투어 유한회사부산광역시 금정구 시실로 7 (부곡동)
45국내여행업(주)이제이투어부산광역시 금정구 중앙대로1841번길 3 (구서동)
56국내여행업(주)이이비네트웍스부산광역시 금정구 동부곡로15번길 75 (부곡동)
67국내여행업산들체험학교부산광역시 금정구 중앙대로1685번길 24 (부곡동, 경남한신아파트)
78국내여행업길따라 주식회사부산광역시 금정구 중앙대로1805번길 6, 2층 (구서동, 삼백크라시앙)
89국내여행업(주)지오라인부산광역시 금정구 금샘로 388, 청담 3층층 (구서동)
910국내여행업(주)여행의 미래부산광역시 금정구 부산대학로38번길 5, 2층 (장전동)
연번구분여행사명소재지
5152종합여행업트래블메이커부산광역시 금정구 금강로 243, 3층 (장전동)
5253종합여행업(주)한세투어부산광역시 금정구 금정로 99, 오렌지비즈니스파크 302호 (장전동)
5354종합여행업주식회사 다른하루부산광역시 금정구 장전로18번길 13 (장전동)
5455종합여행업(주)부산세중부산광역시 금정구 금샘로485번길 65, 부산외국어대학교 A(글로벌센터)동 127호 (남산동)
5556종합여행업더요트(THE YACHT)부산광역시 금정구 반송로 440-7, 4층 (금사동)
5657종합여행업(주)아주항공여행사부산광역시 금정구 중앙대로 1799, 421호 (구서동, 유림노르웨이아침)
5758종합여행업내일여행 주식회사부산광역시 금정구 부산대학로63번길 2, NC백화점 2층 (장전동)
5859종합여행업YOUNG TOUR부산광역시 금정구 금강로 271-5, 해산빌딩 6303호 (장전동)
5960종합여행업주식회사 크루즈야부산광역시 금정구 중앙대로 2110, 민준빌딩 301호 (청룡동)
6061종합여행업주식회사 성화아이앤티부산광역시 금정구 금정로 226, 4층 (구서동)