Overview

Dataset statistics

Number of variables5
Number of observations51
Missing cells40
Missing cells (%)15.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory43.6 B

Variable types

Categorical1
Text3
Numeric1

Dataset

Description관내에 소재한 여행업등록의 현황에 관한 데이터로 여행업구분, 여행사명칭, 소재지 등의 항목에 대해 정보를 제공합니다.
Author부산광역시 사상구
URLhttps://www.data.go.kr/data/15025640/fileData.do

Alerts

전화번호 has 40 (78.4%) missing valuesMissing

Reproduction

Analysis started2024-04-21 01:01:59.030508
Analysis finished2024-04-21 01:02:01.213752
Duration2.18 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

분류
Categorical

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
국내외여행업
21 
종합여행업
20 
국내여행업
10 

Length

Max length6
Median length5
Mean length5.4117647
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내외여행업 21
41.2%
종합여행업 20
39.2%
국내여행업 10
19.6%

Length

2024-04-21T10:02:01.271696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:02:01.362868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 21
41.2%
종합여행업 20
39.2%
국내여행업 10
19.6%

상호
Text

Distinct46
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-04-21T10:02:01.553689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length9.1372549
Min length4

Characters and Unicode

Total characters466
Distinct characters146
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

Unique41 ?
Unique (%)80.4%

Sample

1st row융투어(주)
2nd row형제글로벌
3rd row(주)트레블스테이션
4th row더블유투어(W Tour)
5th row(주)에이앤투어인터내셔널
ValueCountFrequency (%)
주식회사 15
 
19.7%
tour 3
 
3.9%
주)트립플러스 2
 
2.6%
에코웰 2
 
2.6%
지구촌투어인터네셔날 2
 
2.6%
낙동강테마관광 2
 
2.6%
여행사 2
 
2.6%
가자투어 2
 
2.6%
주)한빛투어 1
 
1.3%
형제글로벌 1
 
1.3%
Other values (44) 44
57.9%
2024-04-21T10:02:01.877253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 32
 
6.9%
25
 
5.4%
어 24
 
5.2%
투 23
 
4.9%
( 20
 
4.3%
) 20
 
4.3%
사 18
 
3.9%
식 15
 
3.2%
회 15
 
3.2%
T 7
 
1.5%
Other values (136) 267
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 346
74.2%
Uppercase Letter 34
 
7.3%
Space Separator 25
 
5.4%
Open Punctuation 20
 
4.3%
Close Punctuation 20
 
4.3%
Lowercase Letter 15
 
3.2%
Decimal Number 3
 
0.6%
Dash Punctuation 2
 
0.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 32
 
9.2%
어 24
 
6.9%
투 23
 
6.6%
사 18
 
5.2%
식 15
 
4.3%
회 15
 
4.3%
스 7
 
2.0%
이 6
 
1.7%
트 6
 
1.7%
행 5
 
1.4%
Other values (106) 195
56.4%
Uppercase Letter
ValueCountFrequency (%)
T 7
20.6%
R 6
17.6%
O 3
8.8%
E 3
8.8%
A 2
 
5.9%
N 2
 
5.9%
I 2
 
5.9%
H 2
 
5.9%
D 1
 
2.9%
G 1
 
2.9%
Other values (5) 5
14.7%
Lowercase Letter
ValueCountFrequency (%)
o 4
26.7%
r 3
20.0%
e 2
13.3%
a 2
13.3%
u 2
13.3%
g 1
 
6.7%
n 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
5 1
33.3%
1 1
33.3%
0 1
33.3%
Space Separator
ValueCountFrequency (%)
25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 346
74.2%
Common 71
 
15.2%
Latin 49
 
10.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 32
 
9.2%
어 24
 
6.9%
투 23
 
6.6%
사 18
 
5.2%
식 15
 
4.3%
회 15
 
4.3%
스 7
 
2.0%
이 6
 
1.7%
트 6
 
1.7%
행 5
 
1.4%
Other values (106) 195
56.4%
Latin
ValueCountFrequency (%)
T 7
14.3%
R 6
 
12.2%
o 4
 
8.2%
r 3
 
6.1%
O 3
 
6.1%
E 3
 
6.1%
A 2
 
4.1%
N 2
 
4.1%
I 2
 
4.1%
e 2
 
4.1%
Other values (12) 15
30.6%
Common
ValueCountFrequency (%)
25
35.2%
( 20
28.2%
) 20
28.2%
- 2
 
2.8%
& 1
 
1.4%
5 1
 
1.4%
1 1
 
1.4%
0 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 346
74.2%
ASCII 120
 
25.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 32
 
9.2%
어 24
 
6.9%
투 23
 
6.6%
사 18
 
5.2%
식 15
 
4.3%
회 15
 
4.3%
스 7
 
2.0%
이 6
 
1.7%
트 6
 
1.7%
행 5
 
1.4%
Other values (106) 195
56.4%
ASCII
ValueCountFrequency (%)
25
20.8%
( 20
16.7%
) 20
16.7%
T 7
 
5.8%
R 6
 
5.0%
o 4
 
3.3%
r 3
 
2.5%
O 3
 
2.5%
E 3
 
2.5%
A 2
 
1.7%
Other values (20) 27
22.5%

우편번호
Real number (ℝ)

Distinct34
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46968
Minimum46901
Maximum47049
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-04-21T10:02:01.995315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46901
5-th percentile46913
Q146944
median46972
Q346988
95-th percentile47016.5
Maximum47049
Range148
Interquartile range (IQR)44

Descriptive statistics

Standard deviation35.170442
Coefficient of variation (CV)0.00074881711
Kurtosis-0.51837833
Mean46968
Median Absolute Deviation (MAD)25
Skewness-0.12727959
Sum2395368
Variance1236.96
MonotonicityNot monotonic
2024-04-21T10:02:02.135755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
46972 6
 
11.8%
46988 3
 
5.9%
46913 3
 
5.9%
46918 3
 
5.9%
46973 2
 
3.9%
46901 2
 
3.9%
46964 2
 
3.9%
46929 2
 
3.9%
46986 2
 
3.9%
46956 2
 
3.9%
Other values (24) 24
47.1%
ValueCountFrequency (%)
46901 2
3.9%
46913 3
5.9%
46918 3
5.9%
46926 1
 
2.0%
46929 2
3.9%
46941 1
 
2.0%
46943 1
 
2.0%
46945 1
 
2.0%
46948 1
 
2.0%
46956 2
3.9%
ValueCountFrequency (%)
47049 1
2.0%
47029 1
2.0%
47017 1
2.0%
47016 1
2.0%
47011 1
2.0%
47009 1
2.0%
47008 1
2.0%
47007 1
2.0%
47006 1
2.0%
47004 1
2.0%

소재지(도로명)
Text

Distinct46
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-04-21T10:02:02.402096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length39
Mean length33.176471
Min length22

Characters and Unicode

Total characters1692
Distinct characters125
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)80.4%

Sample

1st row부산광역시 사상구 광장로 74 (괘법동)
2nd row부산광역시 사상구 덕상로 20, 상가동 201호 (덕포동, 덕포신익타운)
3rd row부산광역시 사상구 광장로 62, 5층 538호 (괘법동)
4th row부산광역시 사상구 사상로 332 (덕포동)
5th row부산광역시 사상구 광장로103번길 30, 2층 (괘법동)
ValueCountFrequency (%)
부산광역시 51
 
15.4%
사상구 51
 
15.4%
괘법동 14
 
4.2%
주례동 10
 
3.0%
광장로 9
 
2.7%
감전동 8
 
2.4%
2층 7
 
2.1%
덕포동 7
 
2.1%
1층 6
 
1.8%
모라동 6
 
1.8%
Other values (115) 163
49.1%
2024-04-21T10:02:02.774810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
281
 
16.6%
광 65
 
3.8%
동 63
 
3.7%
상 63
 
3.7%
산 61
 
3.6%
부 58
 
3.4%
사 56
 
3.3%
시 53
 
3.1%
( 51
 
3.0%
로 51
 
3.0%
Other values (115) 890
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 998
59.0%
Space Separator 281
 
16.6%
Decimal Number 261
 
15.4%
Open Punctuation 51
 
3.0%
Close Punctuation 51
 
3.0%
Other Punctuation 46
 
2.7%
Dash Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 65
 
6.5%
동 63
 
6.3%
상 63
 
6.3%
산 61
 
6.1%
부 58
 
5.8%
사 56
 
5.6%
시 53
 
5.3%
로 51
 
5.1%
구 51
 
5.1%
역 51
 
5.1%
Other values (100) 426
42.7%
Decimal Number
ValueCountFrequency (%)
1 45
17.2%
3 45
17.2%
2 39
14.9%
0 33
12.6%
6 22
8.4%
5 18
 
6.9%
7 16
 
6.1%
9 15
 
5.7%
8 14
 
5.4%
4 14
 
5.4%
Space Separator
ValueCountFrequency (%)
281
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Other Punctuation
ValueCountFrequency (%)
, 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 998
59.0%
Common 694
41.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 65
 
6.5%
동 63
 
6.3%
상 63
 
6.3%
산 61
 
6.1%
부 58
 
5.8%
사 56
 
5.6%
시 53
 
5.3%
로 51
 
5.1%
구 51
 
5.1%
역 51
 
5.1%
Other values (100) 426
42.7%
Common
ValueCountFrequency (%)
281
40.5%
( 51
 
7.3%
) 51
 
7.3%
, 46
 
6.6%
1 45
 
6.5%
3 45
 
6.5%
2 39
 
5.6%
0 33
 
4.8%
6 22
 
3.2%
5 18
 
2.6%
Other values (5) 63
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 998
59.0%
ASCII 694
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
281
40.5%
( 51
 
7.3%
) 51
 
7.3%
, 46
 
6.6%
1 45
 
6.5%
3 45
 
6.5%
2 39
 
5.6%
0 33
 
4.8%
6 22
 
3.2%
5 18
 
2.6%
Other values (5) 63
 
9.1%
Hangul
ValueCountFrequency (%)
광 65
 
6.5%
동 63
 
6.3%
상 63
 
6.3%
산 61
 
6.1%
부 58
 
5.8%
사 56
 
5.6%
시 53
 
5.3%
로 51
 
5.1%
구 51
 
5.1%
역 51
 
5.1%
Other values (100) 426
42.7%

전화번호
Text

MISSING 

Distinct11
Distinct (%)100.0%
Missing40
Missing (%)78.4%
Memory size540.0 B
2024-04-21T10:02:02.950531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.090909
Min length12

Characters and Unicode

Total characters133
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

Unique11 ?
Unique (%)100.0%

Sample

1st row051-315-0202
2nd row070-4898-6688
3rd row051-317-3312
4th row051-317-1557
5th row051-921-1010
ValueCountFrequency (%)
051-315-0202 1
9.1%
070-4898-6688 1
9.1%
051-317-3312 1
9.1%
051-317-1557 1
9.1%
051-921-1010 1
9.1%
051-637-1538 1
9.1%
051-311-8200 1
9.1%
051-316-2626 1
9.1%
051-896-0062 1
9.1%
051-462-7775 1
9.1%
2024-04-21T10:02:03.218658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 22
16.5%
- 22
16.5%
0 20
15.0%
5 16
12.0%
3 12
9.0%
2 10
7.5%
6 9
6.8%
7 8
 
6.0%
8 7
 
5.3%
9 5
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 111
83.5%
Dash Punctuation 22
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 22
19.8%
0 20
18.0%
5 16
14.4%
3 12
10.8%
2 10
9.0%
6 9
8.1%
7 8
 
7.2%
8 7
 
6.3%
9 5
 
4.5%
4 2
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 133
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 22
16.5%
- 22
16.5%
0 20
15.0%
5 16
12.0%
3 12
9.0%
2 10
7.5%
6 9
6.8%
7 8
 
6.0%
8 7
 
5.3%
9 5
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 133
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 22
16.5%
- 22
16.5%
0 20
15.0%
5 16
12.0%
3 12
9.0%
2 10
7.5%
6 9
6.8%
7 8
 
6.0%
8 7
 
5.3%
9 5
 
3.8%

Interactions

2024-04-21T10:02:00.897684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:02:03.296125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류상호우편번호소재지(도로명)전화번호
분류1.0000.0000.2930.0001.000
상호0.0001.0001.0001.0001.000
우편번호0.2931.0001.0001.0001.000
소재지(도로명)0.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000
2024-04-21T10:02:03.377726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호분류
우편번호1.0000.000
분류0.0001.000

Missing values

2024-04-21T10:02:01.073089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:02:01.177857image/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

분류상호우편번호소재지(도로명)전화번호
0종합여행업융투어(주)46973부산광역시 사상구 광장로 74 (괘법동)051-315-0202
1종합여행업형제글로벌46941부산광역시 사상구 덕상로 20, 상가동 201호 (덕포동, 덕포신익타운)<NA>
2종합여행업(주)트레블스테이션46972부산광역시 사상구 광장로 62, 5층 538호 (괘법동)<NA>
3종합여행업더블유투어(W Tour)46945부산광역시 사상구 사상로 332 (덕포동)<NA>
4종합여행업(주)에이앤투어인터내셔널46967부산광역시 사상구 광장로103번길 30, 2층 (괘법동)070-4898-6688
5종합여행업(주)클럽투어46975부산광역시 사상구 광장로86번길 27, 1층 (괘법동)<NA>
6종합여행업(주)허브플랫폼47001부산광역시 사상구 학감대로222번길 83 (주례동)<NA>
7종합여행업케이비스투어 주식회사46964부산광역시 사상구 광장로81번길 55, 소르젠떼호텔 9층 (괘법동)<NA>
8종합여행업리트레버(RETRAVER)46943부산광역시 사상구 사상로 403, 2층 (덕포동)<NA>
9종합여행업모닝투어(MORNING TOUR)46913부산광역시 사상구 사상로309번길 61, 동아조각방전 (삼락동)<NA>
분류상호우편번호소재지(도로명)전화번호
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