Overview

Dataset statistics

Number of variables6
Number of observations64
Missing cells2
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory50.1 B

Variable types

Text3
Categorical2
DateTime1

Dataset

Description인천광역시 중구 음식특화거리(특색음식거리)에 대한 정보입니다. 파일명 인천광역시 중구 음식특화거리(특색음식거리)현황 내용 업소명, 영업시간, 전화번호 등
URLhttps://www.data.go.kr/data/15075132/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 2 (3.1%) missing valuesMissing
업소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:48:52.284067
Analysis finished2023-12-12 23:48:52.906539
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-13T08:48:53.098532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length4.5625
Min length2

Characters and Unicode

Total characters292
Distinct characters113
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)100.0%

Sample

1st row인천집
2nd row인하의집
3rd row인정나라
4th row양산박
5th row본가삼치
ValueCountFrequency (%)
럭키차이나 2
 
3.0%
오성식당 2
 
3.0%
인천집 1
 
1.5%
중화원 1
 
1.5%
장안벤뎅이 1
 
1.5%
전주식당 1
 
1.5%
청하식당 1
 
1.5%
충무식당 1
 
1.5%
통큰밴댕이 1
 
1.5%
해촌 1
 
1.5%
Other values (54) 54
81.8%
2023-12-13T08:48:53.475808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 21
 
7.2%
당 21
 
7.2%
이 13
 
4.5%
8
 
2.7%
원 7
 
2.4%
성 6
 
2.1%
차 6
 
2.1%
치 6
 
2.1%
삼 6
 
2.1%
나 6
 
2.1%
Other values (103) 192
65.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 277
94.9%
Space Separator 8
 
2.7%
Close Punctuation 2
 
0.7%
Open Punctuation 2
 
0.7%
Other Punctuation 1
 
0.3%
Decimal Number 1
 
0.3%
Other Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 21
 
7.6%
당 21
 
7.6%
이 13
 
4.7%
원 7
 
2.5%
성 6
 
2.2%
차 6
 
2.2%
치 6
 
2.2%
삼 6
 
2.2%
나 6
 
2.2%
산 6
 
2.2%
Other values (97) 179
64.6%
Space Separator
ValueCountFrequency (%)
8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 278
95.2%
Common 14
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 21
 
7.6%
당 21
 
7.6%
이 13
 
4.7%
원 7
 
2.5%
성 6
 
2.2%
차 6
 
2.2%
치 6
 
2.2%
삼 6
 
2.2%
나 6
 
2.2%
산 6
 
2.2%
Other values (98) 180
64.7%
Common
ValueCountFrequency (%)
8
57.1%
) 2
 
14.3%
( 2
 
14.3%
, 1
 
7.1%
2 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 277
94.9%
ASCII 14
 
4.8%
None 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 21
 
7.6%
당 21
 
7.6%
이 13
 
4.7%
원 7
 
2.5%
성 6
 
2.2%
차 6
 
2.2%
치 6
 
2.2%
삼 6
 
2.2%
나 6
 
2.2%
산 6
 
2.2%
Other values (97) 179
64.6%
ASCII
ValueCountFrequency (%)
8
57.1%
) 2
 
14.3%
( 2
 
14.3%
, 1
 
7.1%
2 1
 
7.1%
None
ValueCountFrequency (%)
㈜ 1
100.0%

주소
Text

Distinct56
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-13T08:48:53.748732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length40
Mean length32.9375
Min length23

Characters and Unicode

Total characters2108
Distinct characters63
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)85.9%

Sample

1st row인천광역시 중구 우현로67번길 53 (전동)
2nd row인천광역시 중구 우현로67번길 57 (전동)
3rd row인천광역시 중구 우현로67번길 67-1 (전동)
4th row인천광역시 중구 홍예문로68번길 28 (전동)
5th row인천광역시 중구 우현로67번길 49, 1층 (전동)
ValueCountFrequency (%)
인천광역시 64
16.0%
중구 64
16.0%
연안부두로 30
 
7.5%
항동7가 29
 
7.2%
16 28
 
7.0%
해양센타 28
 
7.0%
차이나타운로 15
 
3.7%
1층 13
 
3.2%
전동 10
 
2.5%
북성동2가 8
 
2.0%
Other values (75) 112
27.9%
2023-12-13T08:48:54.143201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
343
 
16.3%
, 99
 
4.7%
1 74
 
3.5%
인 65
 
3.1%
동 64
 
3.0%
( 64
 
3.0%
로 64
 
3.0%
) 64
 
3.0%
천 64
 
3.0%
구 64
 
3.0%
Other values (53) 1143
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1175
55.7%
Decimal Number 351
 
16.7%
Space Separator 343
 
16.3%
Other Punctuation 100
 
4.7%
Open Punctuation 64
 
3.0%
Close Punctuation 64
 
3.0%
Dash Punctuation 10
 
0.5%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 65
 
5.5%
동 64
 
5.4%
로 64
 
5.4%
천 64
 
5.4%
구 64
 
5.4%
중 64
 
5.4%
시 64
 
5.4%
역 64
 
5.4%
광 64
 
5.4%
타 50
 
4.3%
Other values (36) 548
46.6%
Decimal Number
ValueCountFrequency (%)
1 74
21.1%
2 59
16.8%
6 49
14.0%
7 45
12.8%
3 32
9.1%
5 25
 
7.1%
4 24
 
6.8%
0 18
 
5.1%
8 14
 
4.0%
9 11
 
3.1%
Other Punctuation
ValueCountFrequency (%)
, 99
99.0%
. 1
 
1.0%
Space Separator
ValueCountFrequency (%)
343
100.0%
Open Punctuation
ValueCountFrequency (%)
( 64
100.0%
Close Punctuation
ValueCountFrequency (%)
) 64
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1175
55.7%
Common 933
44.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 65
 
5.5%
동 64
 
5.4%
로 64
 
5.4%
천 64
 
5.4%
구 64
 
5.4%
중 64
 
5.4%
시 64
 
5.4%
역 64
 
5.4%
광 64
 
5.4%
타 50
 
4.3%
Other values (36) 548
46.6%
Common
ValueCountFrequency (%)
343
36.8%
, 99
 
10.6%
1 74
 
7.9%
( 64
 
6.9%
) 64
 
6.9%
2 59
 
6.3%
6 49
 
5.3%
7 45
 
4.8%
3 32
 
3.4%
5 25
 
2.7%
Other values (7) 79
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1175
55.7%
ASCII 933
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
343
36.8%
, 99
 
10.6%
1 74
 
7.9%
( 64
 
6.9%
) 64
 
6.9%
2 59
 
6.3%
6 49
 
5.3%
7 45
 
4.8%
3 32
 
3.4%
5 25
 
2.7%
Other values (7) 79
 
8.5%
Hangul
ValueCountFrequency (%)
인 65
 
5.5%
동 64
 
5.4%
로 64
 
5.4%
천 64
 
5.4%
구 64
 
5.4%
중 64
 
5.4%
시 64
 
5.4%
역 64
 
5.4%
광 64
 
5.4%
타 50
 
4.3%
Other values (36) 548
46.6%

영업시간
Categorical

Distinct11
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size644.0 B
09:00 ~22:00
41 
11:00~21:00
7 
10:00~21:00
 
3
<NA>
 
3
09:30~21:30
 
2
Other values (6)
8 

Length

Max length12
Median length12
Mean length11.3125
Min length4

Unique

Unique4 ?
Unique (%)6.2%

Sample

1st row09:00 ~22:00
2nd row09:00 ~22:00
3rd row09:00 ~22:00
4th row09:00 ~22:00
5th row09:00 ~22:00

Common Values

ValueCountFrequency (%)
09:00 ~22:00 41
64.1%
11:00~21:00 7
 
10.9%
10:00~21:00 3
 
4.7%
<NA> 3
 
4.7%
09:30~21:30 2
 
3.1%
10:30~21:30 2
 
3.1%
10:30~21:00 2
 
3.1%
10:00~21:30 1
 
1.6%
09:00~21:00 1
 
1.6%
10:30~22:00 1
 
1.6%

Length

2023-12-13T08:48:54.268734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
09:00 41
39.0%
22:00 41
39.0%
11:00~21:00 7
 
6.7%
10:00~21:00 3
 
2.9%
na 3
 
2.9%
09:30~21:30 2
 
1.9%
10:30~21:30 2
 
1.9%
10:30~21:00 2
 
1.9%
10:00~21:30 1
 
1.0%
09:00~21:00 1
 
1.0%
Other values (2) 2
 
1.9%

휴무
Categorical

Distinct9
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
연중무휴
34 
<NA>
18 
명절
 
3
명절 당일
 
3
매주 월요일
 
2
Other values (4)
4 

Length

Max length31
Median length4
Mean length4.65625
Min length2

Unique

Unique4 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
연중무휴 34
53.1%
<NA> 18
28.1%
명절 3
 
4.7%
명절 당일 3
 
4.7%
매주 월요일 2
 
3.1%
매월 첫째 주, 셋째주 목요일+둘째 주, 넷째 주 월요일 1
 
1.6%
월요일 1
 
1.6%
매월 첫째 주, 셋째 주 월요일 1
 
1.6%
격주 수요일 1
 
1.6%

Length

2023-12-13T08:48:54.645665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:48:54.755418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
연중무휴 34
41.0%
na 18
21.7%
명절 6
 
7.2%
월요일 5
 
6.0%
주 5
 
6.0%
당일 3
 
3.6%
매주 2
 
2.4%
매월 2
 
2.4%
첫째 2
 
2.4%
셋째주 1
 
1.2%
Other values (5) 5
 
6.0%

전화번호
Text

MISSING 

Distinct58
Distinct (%)93.5%
Missing2
Missing (%)3.1%
Memory size644.0 B
2023-12-13T08:48:54.988175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.096774
Min length12

Characters and Unicode

Total characters750
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)87.1%

Sample

1st row032-764-6401
2nd row032-773-8384
3rd row032-761-1357
4th row032-772-8579
5th row032-773-3792
ValueCountFrequency (%)
032-764-0106 2
 
3.2%
032-884-1072 2
 
3.2%
032-773-3792 2
 
3.2%
032-882-4656 2
 
3.2%
032-889-6132 1
 
1.6%
032-772-5118 1
 
1.6%
032-765-7888 1
 
1.6%
032-777-8630 1
 
1.6%
032-772-2680 1
 
1.6%
032-762-1677 1
 
1.6%
Other values (48) 48
77.4%
2023-12-13T08:48:55.309190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 124
16.5%
2 102
13.6%
8 97
12.9%
3 96
12.8%
0 84
11.2%
7 82
10.9%
6 46
 
6.1%
4 33
 
4.4%
1 27
 
3.6%
9 27
 
3.6%
Other values (2) 32
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 620
82.7%
Dash Punctuation 124
 
16.5%
Space Separator 6
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 102
16.5%
8 97
15.6%
3 96
15.5%
0 84
13.5%
7 82
13.2%
6 46
7.4%
4 33
 
5.3%
1 27
 
4.4%
9 27
 
4.4%
5 26
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 124
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 750
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 124
16.5%
2 102
13.6%
8 97
12.9%
3 96
12.8%
0 84
11.2%
7 82
10.9%
6 46
 
6.1%
4 33
 
4.4%
1 27
 
3.6%
9 27
 
3.6%
Other values (2) 32
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 750
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 124
16.5%
2 102
13.6%
8 97
12.9%
3 96
12.8%
0 84
11.2%
7 82
10.9%
6 46
 
6.1%
4 33
 
4.4%
1 27
 
3.6%
9 27
 
3.6%
Other values (2) 32
 
4.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
Minimum2023-07-25 00:00:00
Maximum2023-07-25 00:00:00
2023-12-13T08:48:55.407903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:48:55.483481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-13T08:48:55.561537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명주소영업시간휴무전화번호
업소명1.0001.0001.0001.0001.000
주소1.0001.0001.0000.0000.977
영업시간1.0001.0001.0000.5620.935
휴무1.0000.0000.5621.0000.000
전화번호1.0000.9770.9350.0001.000
2023-12-13T08:48:55.642387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
휴무영업시간
휴무1.0000.292
영업시간0.2921.000
2023-12-13T08:48:55.717877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업시간휴무
영업시간1.0000.292
휴무0.2921.000

Missing values

2023-12-13T08:48:52.726928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:48:52.857926image/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

업소명주소영업시간휴무전화번호데이터기준일자
0인천집인천광역시 중구 우현로67번길 53 (전동)09:00 ~22:00연중무휴032-764-64012023-07-25
1인하의집인천광역시 중구 우현로67번길 57 (전동)09:00 ~22:00연중무휴032-773-83842023-07-25
2인정나라인천광역시 중구 우현로67번길 67-1 (전동)09:00 ~22:00연중무휴032-761-13572023-07-25
3양산박인천광역시 중구 홍예문로68번길 28 (전동)09:00 ~22:00연중무휴032-772-85792023-07-25
4본가삼치인천광역시 중구 우현로67번길 49, 1층 (전동)09:00 ~22:00연중무휴032-773-37922023-07-25
5삼치본가인천광역시 중구 우현로67번길 49, 2층 (전동)09:00 ~22:00매월 첫째 주, 셋째주 목요일+둘째 주, 넷째 주 월요일032-773-37922023-07-25
6동인천삼치인천광역시 중구 홍예문로 84 (인현동)09:00 ~22:00<NA>032-765-43202023-07-25
7바다삼치인천광역시 중구 우현로67번길 55-1 (전동)09:00 ~22:00<NA>032-765-37922023-07-25
8영흥갯마을인천광역시 중구 우현로67번길 55 (전동)09:00 ~22:00<NA>032-777-80692023-07-25
9인천삼치인천광역시 중구 우현로87번길 30 (전동)09:00 ~22:00<NA>032-777-52652023-07-25
업소명주소영업시간휴무전화번호데이터기준일자
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