Overview

Dataset statistics

Number of variables4
Number of observations53
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory35.5 B

Variable types

Numeric1
Categorical1
Text2

Dataset

Description부산광역시금정구_여행업등록현황_20230210
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 16:39:33.170734
Analysis finished2023-12-10 16:39:33.831347
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27
Minimum1
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-11T01:39:33.951305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.6
Q114
median27
Q340
95-th percentile50.4
Maximum53
Range52
Interquartile range (IQR)26

Descriptive statistics

Standard deviation15.443445
Coefficient of variation (CV)0.57197945
Kurtosis-1.2
Mean27
Median Absolute Deviation (MAD)13
Skewness0
Sum1431
Variance238.5
MonotonicityStrictly increasing
2023-12-11T01:39:34.163132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
41 1
 
1.9%
30 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
Other values (43) 43
81.1%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
53 1
1.9%
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%
44 1
1.9%

구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
국내외여행업
31 
국내여행업
13 
종합여행업
9 

Length

Max length6
Median length6
Mean length5.5849057
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내외여행업 31
58.5%
국내여행업 13
24.5%
종합여행업 9
 
17.0%

Length

2023-12-11T01:39:34.356001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:39:34.488958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 31
58.5%
국내여행업 13
24.5%
종합여행업 9
 
17.0%

여행사명
Text

Distinct46
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-11T01:39:34.780753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length8.3584906
Min length3

Characters and Unicode

Total characters443
Distinct characters130
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

Unique39 ?
Unique (%)73.6%

Sample

1st row에이원항공여행사
2nd row서희여행사(유)
3rd row정진투어
4th row주식회사 찰리정투어
5th row뉴부산투어 유한회사
ValueCountFrequency (%)
주식회사 8
 
11.1%
에이원항공여행사 2
 
2.8%
찰리정투어 2
 
2.8%
뉴부산투어 2
 
2.8%
유한회사 2
 
2.8%
주)이제이투어 2
 
2.8%
서희여행사(유 2
 
2.8%
경남고속 2
 
2.8%
뉴부산관광(주 2
 
2.8%
정진투어 2
 
2.8%
Other values (46) 46
63.9%
2023-12-11T01:39:35.275899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 29
 
6.5%
사 26
 
5.9%
) 23
 
5.2%
( 23
 
5.2%
어 22
 
5.0%
투 22
 
5.0%
19
 
4.3%
여 16
 
3.6%
행 16
 
3.6%
이 13
 
2.9%
Other values (120) 234
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 358
80.8%
Close Punctuation 23
 
5.2%
Open Punctuation 23
 
5.2%
Space Separator 19
 
4.3%
Uppercase Letter 12
 
2.7%
Lowercase Letter 6
 
1.4%
Decimal Number 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 29
 
8.1%
사 26
 
7.3%
어 22
 
6.1%
투 22
 
6.1%
여 16
 
4.5%
행 16
 
4.5%
이 13
 
3.6%
회 10
 
2.8%
식 9
 
2.5%
광 8
 
2.2%
Other values (101) 187
52.2%
Uppercase Letter
ValueCountFrequency (%)
E 2
16.7%
T 2
16.7%
C 1
8.3%
G 1
8.3%
A 1
8.3%
R 1
8.3%
O 1
8.3%
K 1
8.3%
S 1
8.3%
L 1
8.3%
Lowercase Letter
ValueCountFrequency (%)
o 2
33.3%
r 2
33.3%
p 1
16.7%
u 1
16.7%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 358
80.8%
Common 67
 
15.1%
Latin 18
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 29
 
8.1%
사 26
 
7.3%
어 22
 
6.1%
투 22
 
6.1%
여 16
 
4.5%
행 16
 
4.5%
이 13
 
3.6%
회 10
 
2.8%
식 9
 
2.5%
광 8
 
2.2%
Other values (101) 187
52.2%
Latin
ValueCountFrequency (%)
E 2
11.1%
o 2
11.1%
T 2
11.1%
r 2
11.1%
C 1
 
5.6%
p 1
 
5.6%
u 1
 
5.6%
G 1
 
5.6%
A 1
 
5.6%
R 1
 
5.6%
Other values (4) 4
22.2%
Common
ValueCountFrequency (%)
) 23
34.3%
( 23
34.3%
19
28.4%
1 1
 
1.5%
. 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 358
80.8%
ASCII 85
 
19.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 29
 
8.1%
사 26
 
7.3%
어 22
 
6.1%
투 22
 
6.1%
여 16
 
4.5%
행 16
 
4.5%
이 13
 
3.6%
회 10
 
2.8%
식 9
 
2.5%
광 8
 
2.2%
Other values (101) 187
52.2%
ASCII
ValueCountFrequency (%)
) 23
27.1%
( 23
27.1%
19
22.4%
E 2
 
2.4%
o 2
 
2.4%
T 2
 
2.4%
r 2
 
2.4%
C 1
 
1.2%
1 1
 
1.2%
. 1
 
1.2%
Other values (9) 9
 
10.6%

소재지
Text

Distinct47
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-11T01:39:35.644092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length39
Mean length29.660377
Min length21

Characters and Unicode

Total characters1572
Distinct characters104
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

Unique41 ?
Unique (%)77.4%

Sample

1st row부산광역시 금정구 금단로 195 (남산동)
2nd row부산광역시 금정구 금정로207번길 7-1 (구서동)
3rd row부산광역시 금정구 회천로 23, 1층 (회동동)
4th row부산광역시 금정구 금정로 138 (장전동, K빌딩)
5th row부산광역시 금정구 시실로 7 (부곡동)
ValueCountFrequency (%)
부산광역시 53
16.9%
금정구 53
16.9%
구서동 15
 
4.8%
장전동 14
 
4.5%
부곡동 12
 
3.8%
금정로 10
 
3.2%
2층 9
 
2.9%
중앙대로 8
 
2.6%
4층 6
 
1.9%
남산동 6
 
1.9%
Other values (103) 127
40.6%
2023-12-11T01:39:36.266846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
260
 
16.5%
금 74
 
4.7%
부 72
 
4.6%
구 69
 
4.4%
정 68
 
4.3%
동 61
 
3.9%
산 61
 
3.9%
1 58
 
3.7%
시 57
 
3.6%
로 54
 
3.4%
Other values (94) 738
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 913
58.1%
Space Separator 260
 
16.5%
Decimal Number 242
 
15.4%
Close Punctuation 54
 
3.4%
Open Punctuation 54
 
3.4%
Other Punctuation 37
 
2.4%
Dash Punctuation 9
 
0.6%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 74
 
8.1%
부 72
 
7.9%
구 69
 
7.6%
정 68
 
7.4%
동 61
 
6.7%
산 61
 
6.7%
시 57
 
6.2%
로 54
 
5.9%
광 53
 
5.8%
역 53
 
5.8%
Other values (77) 291
31.9%
Decimal Number
ValueCountFrequency (%)
1 58
24.0%
2 39
16.1%
3 24
9.9%
4 23
 
9.5%
0 21
 
8.7%
8 17
 
7.0%
7 17
 
7.0%
5 16
 
6.6%
9 14
 
5.8%
6 13
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
K 2
66.7%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
260
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Other Punctuation
ValueCountFrequency (%)
, 37
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 913
58.1%
Common 656
41.7%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 74
 
8.1%
부 72
 
7.9%
구 69
 
7.6%
정 68
 
7.4%
동 61
 
6.7%
산 61
 
6.7%
시 57
 
6.2%
로 54
 
5.9%
광 53
 
5.8%
역 53
 
5.8%
Other values (77) 291
31.9%
Common
ValueCountFrequency (%)
260
39.6%
1 58
 
8.8%
) 54
 
8.2%
( 54
 
8.2%
2 39
 
5.9%
, 37
 
5.6%
3 24
 
3.7%
4 23
 
3.5%
0 21
 
3.2%
8 17
 
2.6%
Other values (5) 69
 
10.5%
Latin
ValueCountFrequency (%)
K 2
66.7%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 913
58.1%
ASCII 659
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
260
39.5%
1 58
 
8.8%
) 54
 
8.2%
( 54
 
8.2%
2 39
 
5.9%
, 37
 
5.6%
3 24
 
3.6%
4 23
 
3.5%
0 21
 
3.2%
8 17
 
2.6%
Other values (7) 72
 
10.9%
Hangul
ValueCountFrequency (%)
금 74
 
8.1%
부 72
 
7.9%
구 69
 
7.6%
정 68
 
7.4%
동 61
 
6.7%
산 61
 
6.7%
시 57
 
6.2%
로 54
 
5.9%
광 53
 
5.8%
역 53
 
5.8%
Other values (77) 291
31.9%

Interactions

2023-12-11T01:39:33.501999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:39:36.420728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분여행사명소재지
연번1.0000.9290.5740.634
구분0.9291.0000.0000.000
여행사명0.5740.0001.0001.000
소재지0.6340.0001.0001.000
2023-12-11T01:39:36.536200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.838
구분0.8381.000

Missing values

2023-12-11T01:39:33.665395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:39:33.787558image/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)
23국내여행업정진투어부산광역시 금정구 회천로 23, 1층 (회동동)
34국내여행업주식회사 찰리정투어부산광역시 금정구 금정로 138 (장전동, K빌딩)
45국내여행업뉴부산투어 유한회사부산광역시 금정구 시실로 7 (부곡동)
56국내여행업(주)이제이투어부산광역시 금정구 중앙대로1841번길 3 (구서동)
67국내여행업(주)이이비네트웍스부산광역시 금정구 동부곡로15번길 75 (부곡동)
78국내여행업산들체험학교부산광역시 금정구 중앙대로1685번길 24 (부곡동, 경남한신아파트)
89국내여행업길따라 주식회사부산광역시 금정구 중앙대로1805번길 6, 2층 (구서동, 삼백크라시앙)
910국내여행업(주)지오라인부산광역시 금정구 금샘로 388, 청담 3층층 (구서동)
연번구분여행사명소재지
4344국내외여행업캠퍼스스테이부산광역시 금정구 중앙대로 1617-12, 101동 상가215층 7호 (부곡동, 푸르지오아파트)
4445종합여행업LETS KOREA부산광역시 금정구 반송로 380-1, 2층 1호 (서동)
4546종합여행업(주)동백티앤엘부산광역시 금정구 금정로 226 (구서동)
4647종합여행업지원투어(G1 Tour Corp.)부산광역시 금정구 두실로 19-1 (구서동)
4748종합여행업(주)천신여행사부산광역시 금정구 수림로85번길 54, 206호 (장전동)
4849종합여행업트래블메이커부산광역시 금정구 금강로 243, 3층 (장전동)
4950종합여행업(주)한세투어부산광역시 금정구 금정로 99, 오렌지비즈니스파크 302호 (장전동)
5051종합여행업동백디앤피부산광역시 금정구 부곡로 133-15, 2층 201호 (부곡동)
5152종합여행업주식회사 다른하루부산광역시 금정구 장전로18번길 13 (장전동)
5253종합여행업(주)부산세중부산광역시 금정구 금샘로485번길 65, 부산외국어대학교 A(글로벌센터)동 127호 (남산동)