Overview

Dataset statistics

Number of variables4
Number of observations63
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory35.1 B

Variable types

Numeric1
Categorical1
Text2

Dataset

Description부산광역시금정구_여행업등록현황_20220210
Author부산광역시 금정구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3070504

Alerts

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

Reproduction

Analysis started2023-12-10 16:39:37.869030
Analysis finished2023-12-10 16:39:38.342930
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32
Minimum1
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-11T01:39:38.429928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.1
Q116.5
median32
Q347.5
95-th percentile59.9
Maximum63
Range62
Interquartile range (IQR)31

Descriptive statistics

Standard deviation18.330303
Coefficient of variation (CV)0.57282196
Kurtosis-1.2
Mean32
Median Absolute Deviation (MAD)16
Skewness0
Sum2016
Variance336
MonotonicityStrictly increasing
2023-12-11T01:39:38.597253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
2 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 (53) 53
84.1%
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 (%)
63 1
1.6%
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%

구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size636.0 B
국내외여행업
34 
국내여행업
23 
종합여행업
6 

Length

Max length6
Median length6
Mean length5.5396825
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내외여행업 34
54.0%
국내여행업 23
36.5%
종합여행업 6
 
9.5%

Length

2023-12-11T01:39:38.771343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:39:38.905813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 34
54.0%
국내여행업 23
36.5%
종합여행업 6
 
9.5%

여행사명
Text

Distinct45
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-11T01:39:39.121052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length8.3809524
Min length3

Characters and Unicode

Total characters528
Distinct characters132
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

Unique27 ?
Unique (%)42.9%

Sample

1st row에이원항공여행사
2nd row(주)투어클리닉관광여행사
3rd row(주)성원티앤티
4th row서희여행사(유)
5th row정진투어
ValueCountFrequency (%)
주식회사 8
 
9.8%
에이원항공여행사 2
 
2.4%
코코넛투어 2
 
2.4%
주)디제이투어 2
 
2.4%
주)투어클리닉관광여행사 2
 
2.4%
주)이제이투어 2
 
2.4%
경남고속 2
 
2.4%
드림월드여행사 2
 
2.4%
금정관광 2
 
2.4%
보문여행사 2
 
2.4%
Other values (45) 56
68.3%
2023-12-11T01:39:39.511592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 36
 
6.8%
) 30
 
5.7%
사 30
 
5.7%
( 30
 
5.7%
어 29
 
5.5%
투 29
 
5.5%
여 20
 
3.8%
행 20
 
3.8%
19
 
3.6%
이 15
 
2.8%
Other values (122) 270
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 428
81.1%
Close Punctuation 30
 
5.7%
Open Punctuation 30
 
5.7%
Space Separator 19
 
3.6%
Uppercase Letter 12
 
2.3%
Lowercase Letter 6
 
1.1%
Other Punctuation 2
 
0.4%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 36
 
8.4%
사 30
 
7.0%
어 29
 
6.8%
투 29
 
6.8%
여 20
 
4.7%
행 20
 
4.7%
이 15
 
3.5%
관 12
 
2.8%
광 12
 
2.8%
회 10
 
2.3%
Other values (102) 215
50.2%
Uppercase Letter
ValueCountFrequency (%)
E 2
16.7%
T 2
16.7%
G 1
8.3%
C 1
8.3%
O 1
8.3%
A 1
8.3%
L 1
8.3%
R 1
8.3%
S 1
8.3%
K 1
8.3%
Lowercase Letter
ValueCountFrequency (%)
r 2
33.3%
o 2
33.3%
u 1
16.7%
p 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
& 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 428
81.1%
Common 82
 
15.5%
Latin 18
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 36
 
8.4%
사 30
 
7.0%
어 29
 
6.8%
투 29
 
6.8%
여 20
 
4.7%
행 20
 
4.7%
이 15
 
3.5%
관 12
 
2.8%
광 12
 
2.8%
회 10
 
2.3%
Other values (102) 215
50.2%
Latin
ValueCountFrequency (%)
E 2
11.1%
r 2
11.1%
o 2
11.1%
T 2
11.1%
G 1
 
5.6%
u 1
 
5.6%
C 1
 
5.6%
p 1
 
5.6%
O 1
 
5.6%
A 1
 
5.6%
Other values (4) 4
22.2%
Common
ValueCountFrequency (%)
) 30
36.6%
( 30
36.6%
19
23.2%
1 1
 
1.2%
. 1
 
1.2%
& 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 428
81.1%
ASCII 100
 
18.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 36
 
8.4%
사 30
 
7.0%
어 29
 
6.8%
투 29
 
6.8%
여 20
 
4.7%
행 20
 
4.7%
이 15
 
3.5%
관 12
 
2.8%
광 12
 
2.8%
회 10
 
2.3%
Other values (102) 215
50.2%
ASCII
ValueCountFrequency (%)
) 30
30.0%
( 30
30.0%
19
19.0%
E 2
 
2.0%
r 2
 
2.0%
o 2
 
2.0%
T 2
 
2.0%
G 1
 
1.0%
1 1
 
1.0%
u 1
 
1.0%
Other values (10) 10
 
10.0%

소재지
Text

Distinct48
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-11T01:39:39.855470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length35
Mean length29.031746
Min length21

Characters and Unicode

Total characters1829
Distinct characters93
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

Unique33 ?
Unique (%)52.4%

Sample

1st row부산광역시 금정구 금단로 195 (남산동)
2nd row부산광역시 금정구 금정로60번길 6 (장전동,4층)
3rd row부산광역시 금정구 부곡로 79 (부곡동)
4th row부산광역시 금정구 금정로207번길 7-1 (구서동)
5th row부산광역시 금정구 회천로 23, 1층 (회동동)
ValueCountFrequency (%)
부산광역시 63
17.3%
금정구 63
17.3%
장전동 22
 
6.0%
구서동 15
 
4.1%
부곡동 12
 
3.3%
금정로 10
 
2.7%
2층 9
 
2.5%
중앙대로 8
 
2.2%
4층 7
 
1.9%
남산동 6
 
1.6%
Other values (96) 150
41.1%
2023-12-11T01:39:40.406289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
302
 
16.5%
금 89
 
4.9%
부 82
 
4.5%
정 80
 
4.4%
구 78
 
4.3%
산 72
 
3.9%
동 70
 
3.8%
시 68
 
3.7%
1 66
 
3.6%
) 63
 
3.4%
Other values (83) 859
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1061
58.0%
Space Separator 302
 
16.5%
Decimal Number 286
 
15.6%
Close Punctuation 63
 
3.4%
Open Punctuation 63
 
3.4%
Other Punctuation 42
 
2.3%
Dash Punctuation 10
 
0.5%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 89
 
8.4%
부 82
 
7.7%
정 80
 
7.5%
구 78
 
7.4%
산 72
 
6.8%
동 70
 
6.6%
시 68
 
6.4%
로 63
 
5.9%
역 63
 
5.9%
광 63
 
5.9%
Other values (67) 333
31.4%
Decimal Number
ValueCountFrequency (%)
1 66
23.1%
2 39
13.6%
4 29
10.1%
3 29
10.1%
0 26
 
9.1%
7 24
 
8.4%
8 23
 
8.0%
5 17
 
5.9%
9 17
 
5.9%
6 16
 
5.6%
Space Separator
ValueCountFrequency (%)
302
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Other Punctuation
ValueCountFrequency (%)
, 42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Uppercase Letter
ValueCountFrequency (%)
K 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1061
58.0%
Common 766
41.9%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 89
 
8.4%
부 82
 
7.7%
정 80
 
7.5%
구 78
 
7.4%
산 72
 
6.8%
동 70
 
6.6%
시 68
 
6.4%
로 63
 
5.9%
역 63
 
5.9%
광 63
 
5.9%
Other values (67) 333
31.4%
Common
ValueCountFrequency (%)
302
39.4%
1 66
 
8.6%
) 63
 
8.2%
( 63
 
8.2%
, 42
 
5.5%
2 39
 
5.1%
4 29
 
3.8%
3 29
 
3.8%
0 26
 
3.4%
7 24
 
3.1%
Other values (5) 83
 
10.8%
Latin
ValueCountFrequency (%)
K 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1061
58.0%
ASCII 768
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
302
39.3%
1 66
 
8.6%
) 63
 
8.2%
( 63
 
8.2%
, 42
 
5.5%
2 39
 
5.1%
4 29
 
3.8%
3 29
 
3.8%
0 26
 
3.4%
7 24
 
3.1%
Other values (6) 85
 
11.1%
Hangul
ValueCountFrequency (%)
금 89
 
8.4%
부 82
 
7.7%
정 80
 
7.5%
구 78
 
7.4%
산 72
 
6.8%
동 70
 
6.6%
시 68
 
6.4%
로 63
 
5.9%
역 63
 
5.9%
광 63
 
5.9%
Other values (67) 333
31.4%

Interactions

2023-12-11T01:39:38.099261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:39:40.556571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분여행사명소재지
연번1.0000.9370.0000.000
구분0.9371.0000.0000.000
여행사명0.0000.0001.0001.000
소재지0.0000.0001.0001.000
2023-12-11T01:39:40.676225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.864
구분0.8641.000

Missing values

2023-12-11T01:39:38.208810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:39:38.301840image/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)
12국내여행업(주)투어클리닉관광여행사부산광역시 금정구 금정로60번길 6 (장전동,4층)
23국내여행업(주)성원티앤티부산광역시 금정구 부곡로 79 (부곡동)
34국내여행업서희여행사(유)부산광역시 금정구 금정로207번길 7-1 (구서동)
45국내여행업정진투어부산광역시 금정구 회천로 23, 1층 (회동동)
56국내여행업중미스마일투어(주)부산광역시 금정구 팔송로 40, 2층 (남산동)
67국내여행업제이엠투어부산광역시 금정구 부산대학로64번길 128 (장전동)
78국내여행업주식회사 찰리정투어부산광역시 금정구 금정로 138 (장전동, K빌딩)
89국내여행업뉴부산투어 유한회사부산광역시 금정구 시실로 7 (부곡동)
910국내여행업(주)디제이투어부산광역시 금정구 중앙대로 1967 (구서동, 삼한골든뷰)
연번구분여행사명소재지
5354국내외여행업데일리투어&골프부산광역시 금정구 금강로 271-5, 7층 7103호 (장전동)
5455국내외여행업코코넛투어부산광역시 금정구 금강로 271-5, 8층 8103호 (장전동)
5556국내외여행업준투어부산광역시 금정구 중앙대로 1711, 금정빌딩 4층 (부곡동)
5657국내외여행업(주)엠넷트레킹부산광역시 금정구 금강로 271, 미주빌딩 4108호 (장전동)
5758종합여행업LETS KOREA부산광역시 금정구 반송로 380-1, 2층 1호 (서동)
5859종합여행업(주)동백티앤엘부산광역시 금정구 금정로 226 (구서동)
5960종합여행업지원투어(G1 Tour Corp.)부산광역시 금정구 두실로 19-1 (구서동)
6061종합여행업(주)천신여행사부산광역시 금정구 수림로85번길 54, 206호 (장전동)
6162종합여행업트래블메이커부산광역시 금정구 금강로 243, 3층 (장전동)
6263종합여행업(주)한세투어부산광역시 금정구 금정로 99, 오렌지비즈니스파크 302호 (장전동)