Overview

Dataset statistics

Number of variables5
Number of observations56
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory42.4 B

Variable types

Categorical1
Text3
DateTime1

Dataset

Description충청남도 부여군에 등록된 숙박업 현황에 대한 정보입니다.(업종명, 업소명, 도로명주소, 대표전화, 객실수, 데이터기준일자)
Author충청남도 부여군
URLhttps://www.data.go.kr/data/3046038/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
업소명 has unique valuesUnique
영업소 주소(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:16:57.602140
Analysis finished2023-12-12 01:16:58.109147
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
숙박업(일반)
48 
숙박업(생활)
8 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row숙박업(일반)
2nd row숙박업(일반)
3rd row숙박업(일반)
4th row숙박업(일반)
5th row숙박업(일반)

Common Values

ValueCountFrequency (%)
숙박업(일반) 48
85.7%
숙박업(생활) 8
 
14.3%

Length

2023-12-12T10:16:58.199912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:16:58.334627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
숙박업(일반 48
85.7%
숙박업(생활 8
 
14.3%

업소명
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-12T10:16:58.941339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length5.3928571
Min length1

Characters and Unicode

Total characters302
Distinct characters112
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)100.0%

Sample

1st row명성모텔
2nd row모텔스카이
3rd row엘리제
4th row대우장
5th row파라다이스모텔
ValueCountFrequency (%)
모텔 3
 
4.5%
부여 2
 
3.0%
명성모텔 1
 
1.5%
금수장 1
 
1.5%
고란초 1
 
1.5%
프린스장 1
 
1.5%
문스톤 1
 
1.5%
명진모텔 1
 
1.5%
강가모텔 1
 
1.5%
사비장 1
 
1.5%
Other values (53) 53
80.3%
2023-12-12T10:16:59.383040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
텔 26
 
8.6%
모 18
 
6.0%
스 16
 
5.3%
장 11
 
3.6%
트 11
 
3.6%
10
 
3.3%
크 9
 
3.0%
라 9
 
3.0%
파 8
 
2.6%
리 7
 
2.3%
Other values (102) 177
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 273
90.4%
Uppercase Letter 11
 
3.6%
Space Separator 10
 
3.3%
Decimal Number 4
 
1.3%
Open Punctuation 2
 
0.7%
Close Punctuation 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
텔 26
 
9.5%
모 18
 
6.6%
스 16
 
5.9%
장 11
 
4.0%
트 11
 
4.0%
크 9
 
3.3%
라 9
 
3.3%
파 8
 
2.9%
리 7
 
2.6%
아 7
 
2.6%
Other values (87) 151
55.3%
Uppercase Letter
ValueCountFrequency (%)
C 3
27.3%
D 1
 
9.1%
E 1
 
9.1%
B 1
 
9.1%
A 1
 
9.1%
S 1
 
9.1%
V 1
 
9.1%
I 1
 
9.1%
P 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
9 1
25.0%
5 1
25.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 273
90.4%
Common 18
 
6.0%
Latin 11
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
텔 26
 
9.5%
모 18
 
6.6%
스 16
 
5.9%
장 11
 
4.0%
트 11
 
4.0%
크 9
 
3.3%
라 9
 
3.3%
파 8
 
2.9%
리 7
 
2.6%
아 7
 
2.6%
Other values (87) 151
55.3%
Latin
ValueCountFrequency (%)
C 3
27.3%
D 1
 
9.1%
E 1
 
9.1%
B 1
 
9.1%
A 1
 
9.1%
S 1
 
9.1%
V 1
 
9.1%
I 1
 
9.1%
P 1
 
9.1%
Common
ValueCountFrequency (%)
10
55.6%
( 2
 
11.1%
) 2
 
11.1%
1 2
 
11.1%
9 1
 
5.6%
5 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 273
90.4%
ASCII 29
 
9.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
텔 26
 
9.5%
모 18
 
6.6%
스 16
 
5.9%
장 11
 
4.0%
트 11
 
4.0%
크 9
 
3.3%
라 9
 
3.3%
파 8
 
2.9%
리 7
 
2.6%
아 7
 
2.6%
Other values (87) 151
55.3%
ASCII
ValueCountFrequency (%)
10
34.5%
C 3
 
10.3%
( 2
 
6.9%
) 2
 
6.9%
1 2
 
6.9%
D 1
 
3.4%
E 1
 
3.4%
B 1
 
3.4%
A 1
 
3.4%
S 1
 
3.4%
Other values (5) 5
17.2%

영업소 주소(도로명)
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-12T10:16:59.670552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length22.035714
Min length19

Characters and Unicode

Total characters1234
Distinct characters69
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)100.0%

Sample

1st row충청남도 부여군 부여읍 사비로99번길 8-7
2nd row충청남도 부여군 부여읍 사비로72번길 12
3rd row충청남도 부여군 부여읍 중앙로 6-15
4th row충청남도 부여군 부여읍 흑천로12번길 34
5th row충청남도 부여군 부여읍 사비로72번길 13-3
ValueCountFrequency (%)
충청남도 56
19.6%
부여군 56
19.6%
부여읍 32
 
11.2%
규암면 12
 
4.2%
서궁로 9
 
3.2%
정림로 6
 
2.1%
1~4층 5
 
1.8%
사비로72번길 4
 
1.4%
외산면 4
 
1.4%
은산면 4
 
1.4%
Other values (80) 97
34.0%
2023-12-12T10:17:00.141514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
229
18.6%
부 89
 
7.2%
여 89
 
7.2%
충 61
 
4.9%
로 56
 
4.5%
남 56
 
4.5%
도 56
 
4.5%
군 56
 
4.5%
청 56
 
4.5%
1 42
 
3.4%
Other values (59) 444
36.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 762
61.8%
Space Separator 229
 
18.6%
Decimal Number 206
 
16.7%
Dash Punctuation 27
 
2.2%
Other Punctuation 5
 
0.4%
Math Symbol 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 89
11.7%
여 89
11.7%
충 61
 
8.0%
로 56
 
7.3%
남 56
 
7.3%
도 56
 
7.3%
군 56
 
7.3%
청 56
 
7.3%
읍 32
 
4.2%
면 24
 
3.1%
Other values (45) 187
24.5%
Decimal Number
ValueCountFrequency (%)
1 42
20.4%
4 30
14.6%
2 27
13.1%
3 24
11.7%
9 18
8.7%
5 17
8.3%
7 16
 
7.8%
8 15
 
7.3%
6 12
 
5.8%
0 5
 
2.4%
Space Separator
ValueCountFrequency (%)
229
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 762
61.8%
Common 472
38.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 89
11.7%
여 89
11.7%
충 61
 
8.0%
로 56
 
7.3%
남 56
 
7.3%
도 56
 
7.3%
군 56
 
7.3%
청 56
 
7.3%
읍 32
 
4.2%
면 24
 
3.1%
Other values (45) 187
24.5%
Common
ValueCountFrequency (%)
229
48.5%
1 42
 
8.9%
4 30
 
6.4%
- 27
 
5.7%
2 27
 
5.7%
3 24
 
5.1%
9 18
 
3.8%
5 17
 
3.6%
7 16
 
3.4%
8 15
 
3.2%
Other values (4) 27
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 762
61.8%
ASCII 472
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
229
48.5%
1 42
 
8.9%
4 30
 
6.4%
- 27
 
5.7%
2 27
 
5.7%
3 24
 
5.1%
9 18
 
3.8%
5 17
 
3.6%
7 16
 
3.4%
8 15
 
3.2%
Other values (4) 27
 
5.7%
Hangul
ValueCountFrequency (%)
부 89
11.7%
여 89
11.7%
충 61
 
8.0%
로 56
 
7.3%
남 56
 
7.3%
도 56
 
7.3%
군 56
 
7.3%
청 56
 
7.3%
읍 32
 
4.2%
면 24
 
3.1%
Other values (45) 187
24.5%

소재지전화
Text

Distinct52
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-12T10:17:00.433370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.035714
Min length12

Characters and Unicode

Total characters674
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

Unique51 ?
Unique (%)91.1%

Sample

1st row041-833-8855
2nd row041-835-3331
3rd row041-834-2277
4th row041-835-3017
5th row041-837-3535
ValueCountFrequency (%)
041-834-5000 5
 
8.9%
041-833-8855 1
 
1.8%
041-833-3005 1
 
1.8%
041-835-0870 1
 
1.8%
041-833-6688 1
 
1.8%
041-836-7200 1
 
1.8%
041-835-4010 1
 
1.8%
041-837-5551 1
 
1.8%
041-834-4932 1
 
1.8%
041-837-3388 1
 
1.8%
Other values (42) 42
75.0%
2023-12-12T10:17:00.950919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 112
16.6%
0 108
16.0%
3 83
12.3%
1 79
11.7%
8 78
11.6%
4 75
11.1%
5 38
 
5.6%
6 32
 
4.7%
7 26
 
3.9%
9 22
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 562
83.4%
Dash Punctuation 112
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 108
19.2%
3 83
14.8%
1 79
14.1%
8 78
13.9%
4 75
13.3%
5 38
 
6.8%
6 32
 
5.7%
7 26
 
4.6%
9 22
 
3.9%
2 21
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 674
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 112
16.6%
0 108
16.0%
3 83
12.3%
1 79
11.7%
8 78
11.6%
4 75
11.1%
5 38
 
5.6%
6 32
 
4.7%
7 26
 
3.9%
9 22
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 674
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 112
16.6%
0 108
16.0%
3 83
12.3%
1 79
11.7%
8 78
11.6%
4 75
11.1%
5 38
 
5.6%
6 32
 
4.7%
7 26
 
3.9%
9 22
 
3.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size580.0 B
Minimum2023-10-31 00:00:00
Maximum2023-10-31 00:00:00
2023-12-12T10:17:01.107486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:17:01.221715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T10:17:01.320604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명업소명영업소 주소(도로명)소재지전화
업종명1.0001.0001.0001.000
업소명1.0001.0001.0001.000
영업소 주소(도로명)1.0001.0001.0001.000
소재지전화1.0001.0001.0001.000

Missing values

2023-12-12T10:16:57.918395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:16:58.054924image/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

업종명업소명영업소 주소(도로명)소재지전화데이터기준일자
0숙박업(일반)명성모텔충청남도 부여군 부여읍 사비로99번길 8-7041-833-88552023-10-31
1숙박업(일반)모텔스카이충청남도 부여군 부여읍 사비로72번길 12041-835-33312023-10-31
2숙박업(일반)엘리제충청남도 부여군 부여읍 중앙로 6-15041-834-22772023-10-31
3숙박업(일반)대우장충청남도 부여군 부여읍 흑천로12번길 34041-835-30172023-10-31
4숙박업(일반)파라다이스모텔충청남도 부여군 부여읍 사비로72번길 13-3041-837-35352023-10-31
5숙박업(일반)거북장충청남도 부여군 부여읍 계백로 289-11041-836-52282023-10-31
6숙박업(일반)그린장충청남도 부여군 부여읍 정림로 55-5041-835-34662023-10-31
7숙박업(일반)크라운장충청남도 부여군 부여읍 중앙로 6-11041-833-66662023-10-31
8숙박업(일반)다정한 모텔충청남도 부여군 부여읍 계백로 283-4041-832-91992023-10-31
9숙박업(일반)센스온 모텔충청남도 부여군 부여읍 정림로 47-7041-834-19662023-10-31
업종명업소명영업소 주소(도로명)소재지전화데이터기준일자
46숙박업(일반)무인텔골프충청남도 부여군 규암면 서궁로 142041-836-69692023-10-31
47숙박업(일반)백제CC골프트레이닝센터충청남도 부여군 은산면 충절로 3734-12041-830-07132023-10-31
48숙박업(생활)(주)호텔롯데 롯데리조트부여충청남도 부여군 규암면 백제문로 400041-939-11032023-10-31
49숙박업(생활)파크아트빌라스A충청남도 부여군 규암면 서궁로 129, 1~4층041-834-50002023-10-31
50숙박업(생활)파크아트빌라스B충청남도 부여군 규암면 서궁로 129-2, 1~4층041-834-50002023-10-31
51숙박업(생활)파크아트빌라스C충청남도 부여군 규암면 서궁로 129-3, 1~4층041-834-50002023-10-31
52숙박업(생활)파크아트빌라스D충청남도 부여군 규암면 서궁로 129-4, 1~4층041-834-50002023-10-31
53숙박업(생활)파크아트빌라스E충청남도 부여군 규암면 서궁로 129-5, 1~4층041-834-50002023-10-31
54숙박업(생활)골프 가족텔충청남도 부여군 규암면 서궁로 1430507-1359-76612023-10-31
55숙박업(생활)부여 서울농장충청남도 부여군 장암면 의자로1235번길 15041-835-62792023-10-31