Overview

Dataset statistics

Number of variables9
Number of observations44
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory75.0 B

Variable types

Text6
Categorical3

Dataset

Description경기도 광명시 내 모범음식점 현황입니다. 모범음식점으로 선정된 업소의 위치, 주메뉴, 전화번호 등의 정보를 제공합니다.
Author경기도 광명시
URLhttps://www.data.go.kr/data/3065774/fileData.do

Alerts

업소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique
소재지전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:16:51.714908
Analysis finished2023-12-12 20:16:52.435014
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-13T05:16:52.594124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length6.9772727
Min length2

Characters and Unicode

Total characters307
Distinct characters147
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

Unique44 ?
Unique (%)100.0%

Sample

1st row청해해물
2nd row가장맛있는족발광명사거리역점
3rd row광명참숮화로구이 > 황금돼지무한리필
4th row김명태(광명점)
5th row이향각양꼬치
ValueCountFrequency (%)
청해해물 1
 
2.0%
육대장 1
 
2.0%
스시가든엔예스카페 1
 
2.0%
마라1번지 1
 
2.0%
두끼철산씨지브이점 1
 
2.0%
월드인삼참치 1
 
2.0%
주)신화아이푸드청담본갈비광명지점 1
 
2.0%
추오정남원추어탕 1
 
2.0%
청평민물매운탕 1
 
2.0%
은행나무 1
 
2.0%
Other values (39) 39
79.6%
2023-12-13T05:16:53.005861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
명 12
 
3.9%
가 9
 
2.9%
점 8
 
2.6%
이 7
 
2.3%
탕 7
 
2.3%
광 7
 
2.3%
산 6
 
2.0%
치 5
 
1.6%
철 5
 
1.6%
5
 
1.6%
Other values (137) 236
76.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 295
96.1%
Space Separator 5
 
1.6%
Open Punctuation 2
 
0.7%
Close Punctuation 2
 
0.7%
Decimal Number 2
 
0.7%
Math Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
명 12
 
4.1%
가 9
 
3.1%
점 8
 
2.7%
이 7
 
2.4%
탕 7
 
2.4%
광 7
 
2.4%
산 6
 
2.0%
치 5
 
1.7%
철 5
 
1.7%
참 5
 
1.7%
Other values (131) 224
75.9%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
> 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 295
96.1%
Common 12
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
명 12
 
4.1%
가 9
 
3.1%
점 8
 
2.7%
이 7
 
2.4%
탕 7
 
2.4%
광 7
 
2.4%
산 6
 
2.0%
치 5
 
1.7%
철 5
 
1.7%
참 5
 
1.7%
Other values (131) 224
75.9%
Common
ValueCountFrequency (%)
5
41.7%
( 2
 
16.7%
) 2
 
16.7%
1 1
 
8.3%
> 1
 
8.3%
2 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 295
96.1%
ASCII 12
 
3.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
명 12
 
4.1%
가 9
 
3.1%
점 8
 
2.7%
이 7
 
2.4%
탕 7
 
2.4%
광 7
 
2.4%
산 6
 
2.0%
치 5
 
1.7%
철 5
 
1.7%
참 5
 
1.7%
Other values (131) 224
75.9%
ASCII
ValueCountFrequency (%)
5
41.7%
( 2
 
16.7%
) 2
 
16.7%
1 1
 
8.3%
> 1
 
8.3%
2 1
 
8.3%

소재지(도로명)
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-13T05:16:53.264417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length36
Mean length28.818182
Min length20

Characters and Unicode

Total characters1268
Distinct characters66
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

Unique44 ?
Unique (%)100.0%

Sample

1st row경기도 광명시 광명로 954, 1층 102호 (광명동)
2nd row경기도 광명시 오리로985번길 11,1층 102호,103호 (광명동)
3rd row경기도 광명시 오리로949번길 8-1, 1층 (광명동)
4th row경기도 광명시 오리로 986 1층(광명동)
5th row경기도 광명시 오리로 1003-1, 2층(광명동)
ValueCountFrequency (%)
경기도 44
 
16.5%
광명시 44
 
16.5%
철산동 17
 
6.4%
2층 11
 
4.1%
소하동 8
 
3.0%
1층 8
 
3.0%
하안동 8
 
3.0%
철산로30번길 5
 
1.9%
철산로 5
 
1.9%
오리로 5
 
1.9%
Other values (86) 112
41.9%
2023-12-13T05:16:53.672210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
223
 
17.6%
1 59
 
4.7%
광 51
 
4.0%
명 50
 
3.9%
, 48
 
3.8%
시 45
 
3.5%
기 45
 
3.5%
동 45
 
3.5%
경 44
 
3.5%
도 44
 
3.5%
Other values (56) 614
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 665
52.4%
Decimal Number 234
 
18.5%
Space Separator 223
 
17.6%
Other Punctuation 48
 
3.8%
Close Punctuation 44
 
3.5%
Open Punctuation 44
 
3.5%
Dash Punctuation 7
 
0.6%
Math Symbol 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 51
 
7.7%
명 50
 
7.5%
시 45
 
6.8%
기 45
 
6.8%
동 45
 
6.8%
경 44
 
6.6%
도 44
 
6.6%
로 44
 
6.6%
층 33
 
5.0%
산 32
 
4.8%
Other values (40) 232
34.9%
Decimal Number
ValueCountFrequency (%)
1 59
25.2%
2 39
16.7%
0 29
12.4%
5 23
 
9.8%
8 22
 
9.4%
4 20
 
8.5%
9 14
 
6.0%
3 14
 
6.0%
6 9
 
3.8%
7 5
 
2.1%
Space Separator
ValueCountFrequency (%)
223
100.0%
Other Punctuation
ValueCountFrequency (%)
, 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 665
52.4%
Common 603
47.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 51
 
7.7%
명 50
 
7.5%
시 45
 
6.8%
기 45
 
6.8%
동 45
 
6.8%
경 44
 
6.6%
도 44
 
6.6%
로 44
 
6.6%
층 33
 
5.0%
산 32
 
4.8%
Other values (40) 232
34.9%
Common
ValueCountFrequency (%)
223
37.0%
1 59
 
9.8%
, 48
 
8.0%
) 44
 
7.3%
( 44
 
7.3%
2 39
 
6.5%
0 29
 
4.8%
5 23
 
3.8%
8 22
 
3.6%
4 20
 
3.3%
Other values (6) 52
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 665
52.4%
ASCII 603
47.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
223
37.0%
1 59
 
9.8%
, 48
 
8.0%
) 44
 
7.3%
( 44
 
7.3%
2 39
 
6.5%
0 29
 
4.8%
5 23
 
3.8%
8 22
 
3.6%
4 20
 
3.3%
Other values (6) 52
 
8.6%
Hangul
ValueCountFrequency (%)
광 51
 
7.7%
명 50
 
7.5%
시 45
 
6.8%
기 45
 
6.8%
동 45
 
6.8%
경 44
 
6.6%
도 44
 
6.6%
로 44
 
6.6%
층 33
 
5.0%
산 32
 
4.8%
Other values (40) 232
34.9%

주된음식
Text

Distinct36
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-13T05:16:53.875066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length9
Mean length4.3863636
Min length2

Characters and Unicode

Total characters193
Distinct characters86
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)68.2%

Sample

1st row해물찜, 아귀찜
2nd row족발,보쌈
3rd row갈비
4th row부대찌개
5th row샤브샤브
ValueCountFrequency (%)
참치회 4
 
8.3%
샤브샤브 2
 
4.2%
한정식 2
 
4.2%
감자탕 2
 
4.2%
돼지갈비 2
 
4.2%
갈비 2
 
4.2%
소고기 2
 
4.2%
해물찜 1
 
2.1%
생선초밥(무한리필),광어활어회 1
 
2.1%
자장면,짬봉 1
 
2.1%
Other values (29) 29
60.4%
2023-12-13T05:16:54.275491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 7
 
3.6%
탕 7
 
3.6%
장 6
 
3.1%
회 6
 
3.1%
갈 6
 
3.1%
비 6
 
3.1%
치 5
 
2.6%
기 5
 
2.6%
지 5
 
2.6%
돼 4
 
2.1%
Other values (76) 136
70.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 180
93.3%
Other Punctuation 7
 
3.6%
Space Separator 4
 
2.1%
Close Punctuation 1
 
0.5%
Open Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
탕 7
 
3.9%
장 6
 
3.3%
회 6
 
3.3%
갈 6
 
3.3%
비 6
 
3.3%
치 5
 
2.8%
기 5
 
2.8%
지 5
 
2.8%
돼 4
 
2.2%
찜 4
 
2.2%
Other values (72) 126
70.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 180
93.3%
Common 13
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
탕 7
 
3.9%
장 6
 
3.3%
회 6
 
3.3%
갈 6
 
3.3%
비 6
 
3.3%
치 5
 
2.8%
기 5
 
2.8%
지 5
 
2.8%
돼 4
 
2.2%
찜 4
 
2.2%
Other values (72) 126
70.0%
Common
ValueCountFrequency (%)
, 7
53.8%
4
30.8%
) 1
 
7.7%
( 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 180
93.3%
ASCII 13
 
6.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 7
53.8%
4
30.8%
) 1
 
7.7%
( 1
 
7.7%
Hangul
ValueCountFrequency (%)
탕 7
 
3.9%
장 6
 
3.3%
회 6
 
3.3%
갈 6
 
3.3%
비 6
 
3.3%
치 5
 
2.8%
기 5
 
2.8%
지 5
 
2.8%
돼 4
 
2.2%
찜 4
 
2.2%
Other values (72) 126
70.0%

영업시간
Text

Distinct24
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-13T05:16:54.495564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.818182
Min length3

Characters and Unicode

Total characters476
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)29.5%

Sample

1st row11:00~22:00
2nd row15:00~02:00
3rd row10:00~22:00
4th row10:00~22:30
5th row10:00~22:00
ValueCountFrequency (%)
10:00~22:00 7
15.9%
11:00~22:00 4
 
9.1%
11:00~21:00 3
 
6.8%
11:00~23:00 3
 
6.8%
11:00~24:00 2
 
4.5%
11:30~22:00 2
 
4.5%
11:30~21:30 2
 
4.5%
10:00~24:00 2
 
4.5%
10:30~22:30 2
 
4.5%
10:30~22:00 2
 
4.5%
Other values (14) 15
34.1%
2023-12-13T05:16:54.822401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 175
36.8%
: 86
18.1%
1 71
14.9%
2 63
 
13.2%
~ 43
 
9.0%
3 27
 
5.7%
4 6
 
1.3%
시 1
 
0.2%
5 1
 
0.2%
7 1
 
0.2%
Other values (2) 2
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 346
72.7%
Other Punctuation 86
 
18.1%
Math Symbol 43
 
9.0%
Other Letter 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 175
50.6%
1 71
20.5%
2 63
 
18.2%
3 27
 
7.8%
4 6
 
1.7%
5 1
 
0.3%
7 1
 
0.3%
6 1
 
0.3%
8 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
: 86
100.0%
Math Symbol
ValueCountFrequency (%)
~ 43
100.0%
Other Letter
ValueCountFrequency (%)
시 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 475
99.8%
Hangul 1
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 175
36.8%
: 86
18.1%
1 71
14.9%
2 63
 
13.3%
~ 43
 
9.1%
3 27
 
5.7%
4 6
 
1.3%
5 1
 
0.2%
7 1
 
0.2%
6 1
 
0.2%
Hangul
ValueCountFrequency (%)
시 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 475
99.8%
Hangul 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 175
36.8%
: 86
18.1%
1 71
14.9%
2 63
 
13.3%
~ 43
 
9.1%
3 27
 
5.7%
4 6
 
1.3%
5 1
 
0.2%
7 1
 
0.2%
6 1
 
0.2%
Hangul
ValueCountFrequency (%)
시 1
100.0%

휴무안내
Categorical

Distinct9
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
설,추석
27 
연중무휴
9 
매주 일요일
 
2
2, 4주 화요일
 
1
1,3주 일요일
 
1
Other values (4)
4 

Length

Max length9
Median length4
Mean length4.3863636
Min length3

Unique

Unique6 ?
Unique (%)13.6%

Sample

1st row2, 4주 화요일
2nd row설,추석
3rd row설,추석
4th row설,추석
5th row설,추석

Common Values

ValueCountFrequency (%)
설,추석 27
61.4%
연중무휴 9
 
20.5%
매주 일요일 2
 
4.5%
2, 4주 화요일 1
 
2.3%
1,3주 일요일 1
 
2.3%
연중휴무 1
 
2.3%
1,3 일요일 1
 
2.3%
매주 월요일 1
 
2.3%
화요일 1
 
2.3%

Length

2023-12-13T05:16:54.971716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:16:55.115684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
설,추석 27
52.9%
연중무휴 9
 
17.6%
일요일 4
 
7.8%
매주 3
 
5.9%
화요일 2
 
3.9%
2 1
 
2.0%
4주 1
 
2.0%
1,3주 1
 
2.0%
연중휴무 1
 
2.0%
1,3 1
 
2.0%

좌석안내
Text

Distinct26
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-13T05:16:55.324950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.4545455
Min length3

Characters and Unicode

Total characters152
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)36.4%

Sample

1st row40석
2nd row66석
3rd row48석
4th row60석
5th row120석
ValueCountFrequency (%)
100석 6
 
13.6%
120석 4
 
9.1%
60석 3
 
6.8%
80석 3
 
6.8%
48석 2
 
4.5%
40석 2
 
4.5%
70석 2
 
4.5%
130석 2
 
4.5%
96석 2
 
4.5%
88석 2
 
4.5%
Other values (16) 16
36.4%
2023-12-13T05:16:55.664562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
석 44
28.9%
0 37
24.3%
1 16
 
10.5%
2 13
 
8.6%
8 12
 
7.9%
6 9
 
5.9%
4 7
 
4.6%
3 5
 
3.3%
9 4
 
2.6%
7 3
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 108
71.1%
Other Letter 44
28.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 37
34.3%
1 16
14.8%
2 13
 
12.0%
8 12
 
11.1%
6 9
 
8.3%
4 7
 
6.5%
3 5
 
4.6%
9 4
 
3.7%
7 3
 
2.8%
5 2
 
1.9%
Other Letter
ValueCountFrequency (%)
석 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 108
71.1%
Hangul 44
28.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 37
34.3%
1 16
14.8%
2 13
 
12.0%
8 12
 
11.1%
6 9
 
8.3%
4 7
 
6.5%
3 5
 
4.6%
9 4
 
3.7%
7 3
 
2.8%
5 2
 
1.9%
Hangul
ValueCountFrequency (%)
석 44
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 108
71.1%
Hangul 44
28.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
석 44
100.0%
ASCII
ValueCountFrequency (%)
0 37
34.3%
1 16
14.8%
2 13
 
12.0%
8 12
 
11.1%
6 9
 
8.3%
4 7
 
6.5%
3 5
 
4.6%
9 4
 
3.7%
7 3
 
2.8%
5 2
 
1.9%

주차안내
Categorical

Distinct16
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
8 
2시간무료
7 
1시간무료
6 
30대
4 
20대
4 
Other values (11)
15 

Length

Max length7
Median length5
Mean length3.9090909
Min length2

Unique

Unique7 ?
Unique (%)15.9%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row1시간무료
5th row2시간무료

Common Values

ValueCountFrequency (%)
<NA> 8
18.2%
2시간무료 7
15.9%
1시간무료 6
13.6%
30대 4
9.1%
20대 4
9.1%
5대 2
 
4.5%
6대 2
 
4.5%
아울렛 주차장 2
 
4.5%
10대 2
 
4.5%
지하주차장 1
 
2.3%
Other values (6) 6
13.6%

Length

2023-12-13T05:16:55.847698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 8
17.4%
2시간무료 7
15.2%
1시간무료 6
13.0%
30대 4
8.7%
20대 4
8.7%
아울렛 2
 
4.3%
10대 2
 
4.3%
주차장 2
 
4.3%
6대 2
 
4.3%
5대 2
 
4.3%
Other values (7) 7
15.2%

소재지전화번호
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-13T05:16:56.133914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.636364
Min length11

Characters and Unicode

Total characters512
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

Unique44 ?
Unique (%)100.0%

Sample

1st row02-2682-4973
2nd row02-2686-2255
3rd row02-2616-5003
4th row02-2611-3140
5th row02-2687-7770
ValueCountFrequency (%)
02-2682-4973 1
 
2.3%
02-2686-2255 1
 
2.3%
02-897-4255 1
 
2.3%
02-6337-7959 1
 
2.3%
02-2682-7755 1
 
2.3%
02-899-0787 1
 
2.3%
02-898-2377 1
 
2.3%
02-805-4747 1
 
2.3%
02-897-0099 1
 
2.3%
02-804-9169 1
 
2.3%
Other values (34) 34
77.3%
2023-12-13T05:16:56.588307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 94
18.4%
- 88
17.2%
0 87
17.0%
6 44
8.6%
8 42
8.2%
9 42
8.2%
7 33
 
6.4%
5 23
 
4.5%
1 22
 
4.3%
3 21
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 424
82.8%
Dash Punctuation 88
 
17.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 94
22.2%
0 87
20.5%
6 44
10.4%
8 42
9.9%
9 42
9.9%
7 33
 
7.8%
5 23
 
5.4%
1 22
 
5.2%
3 21
 
5.0%
4 16
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 512
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 94
18.4%
- 88
17.2%
0 87
17.0%
6 44
8.6%
8 42
8.2%
9 42
8.2%
7 33
 
6.4%
5 23
 
4.5%
1 22
 
4.3%
3 21
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 512
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 94
18.4%
- 88
17.2%
0 87
17.0%
6 44
8.6%
8 42
8.2%
9 42
8.2%
7 33
 
6.4%
5 23
 
4.5%
1 22
 
4.3%
3 21
 
4.1%

행정동
Categorical

Distinct11
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
철산3동
17 
소하1동
6 
광명4동
4 
하안3동
4 
소하2동
4 
Other values (6)
9 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique4 ?
Unique (%)9.1%

Sample

1st row광명2동
2nd row광명4동
3rd row광명4동
4th row광명4동
5th row광명4동

Common Values

ValueCountFrequency (%)
철산3동 17
38.6%
소하1동 6
 
13.6%
광명4동 4
 
9.1%
하안3동 4
 
9.1%
소하2동 4
 
9.1%
하안1동 3
 
6.8%
철산1동 2
 
4.5%
광명2동 1
 
2.3%
철산2동 1
 
2.3%
철산4동 1
 
2.3%

Length

2023-12-13T05:16:56.743342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
철산3동 17
38.6%
소하1동 6
 
13.6%
광명4동 4
 
9.1%
하안3동 4
 
9.1%
소하2동 4
 
9.1%
하안1동 3
 
6.8%
철산1동 2
 
4.5%
광명2동 1
 
2.3%
철산2동 1
 
2.3%
철산4동 1
 
2.3%

Correlations

2023-12-13T05:16:56.835774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지(도로명)주된음식영업시간휴무안내좌석안내주차안내소재지전화번호행정동
업소명1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.0001.0001.0001.0001.0001.000
주된음식1.0001.0001.0000.7270.9740.8880.0001.0000.000
영업시간1.0001.0000.7271.0000.5540.7080.9331.0000.602
휴무안내1.0001.0000.9740.5541.0000.0000.0001.0000.683
좌석안내1.0001.0000.8880.7080.0001.0000.7861.0000.000
주차안내1.0001.0000.0000.9330.0000.7861.0001.0000.717
소재지전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
행정동1.0001.0000.0000.6020.6830.0000.7171.0001.000
2023-12-13T05:16:56.960695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
휴무안내주차안내행정동
휴무안내1.0000.0000.376
주차안내0.0001.0000.327
행정동0.3760.3271.000
2023-12-13T05:16:57.075852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
휴무안내주차안내행정동
휴무안내1.0000.0000.376
주차안내0.0001.0000.327
행정동0.3760.3271.000

Missing values

2023-12-13T05:16:52.207404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:16:52.372975image/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

업소명소재지(도로명)주된음식영업시간휴무안내좌석안내주차안내소재지전화번호행정동
0청해해물경기도 광명시 광명로 954, 1층 102호 (광명동)해물찜, 아귀찜11:00~22:002, 4주 화요일40석<NA>02-2682-4973광명2동
1가장맛있는족발광명사거리역점경기도 광명시 오리로985번길 11,1층 102호,103호 (광명동)족발,보쌈15:00~02:00설,추석66석<NA>02-2686-2255광명4동
2광명참숮화로구이 > 황금돼지무한리필경기도 광명시 오리로949번길 8-1, 1층 (광명동)갈비10:00~22:00설,추석48석<NA>02-2616-5003광명4동
3김명태(광명점)경기도 광명시 오리로 986 1층(광명동)부대찌개10:00~22:30설,추석60석1시간무료02-2611-3140광명4동
4이향각양꼬치경기도 광명시 오리로 1003-1, 2층(광명동)샤브샤브10:00~22:00설,추석120석2시간무료02-2687-7770광명4동
5철산명가양마루경기도 광명시 안양천로 459, 4층 (철산동)양대창구이11:30~22:30설,추석88석30대02-2060-0292철산1동
6가마솥밥상 철산본점경기도 광명시 안양천로 459 (철산동,2층)한정식11:30~21:30설,추석118석30대02-2060-9219철산1동
7명품경기도 광명시 시청로 15, 지하층 2호,4호,5호 (철산동)자장면11:00~21:00설,추석100석<NA>02-2066-0977철산2동
8사조참치경기도 광명시 철산로30번길 11 1층(철산동,광동빌딩)참치회10:00~24:00설,추석100석<NA>02-2611-8013철산3동
9본가갈비경기도 광명시 오리로856번길 14 (철산동)갈비10:00~23:00설,추석152석2시간무료02-2681-3983철산3동
업소명소재지(도로명)주된음식영업시간휴무안내좌석안내주차안내소재지전화번호행정동
34본가왕뼈감자탕경기도 광명시 소하로 77 201호~203호 (소하동, 골든프라자)감자탕11:00~24:00설,추석160석2시간무료02-899-8700소하1동
35이맛이감자탕경기도 광명시 금하로 458, 201호 (소하동)감자탕11:00~22:30설,추석100석146대02-899-1001소하1동
36소담촌경기도 광명시 오리로 518, 2층 (소하동)샤브샤브11:00~22:00설,추석88석10대02-899-5985소하1동
37참치가경기도 광명시 오리로 518, 2층 (소하동, 대교빌딩)참치회11:00~24:00연중무휴100석10대02-2060-6355소하1동
38꽃피다한우경기도 광명시 소하로109번길 15, 801~804호 (소하동, 소하토피아)소고기16:30~23:00연중무휴96석50때02-876-9800소하1동
39재미나반점경기도 광명시 신촌로15번길 23-1, 1층 일부호 (소하동)자장면,짬봉10:00~20:00화요일40석<NA>02-897-4402소하1동
40상상초월경기도 광명시 영당로 14, 1층 (소하동)돼지갈비10:00~24:00연중무휴300석20대02-898-2500소하2동
41돼지집경기도 광명시 기아로 56, 1층 (소하동)돼지두루치기08:30~23:00연중무휴260석50대02-805-9407소하2동
42풍원장광명점경기도 광명시 일직로 17, 5층 (일직동)한정식11:00~21:00설,추석120석아울렛 주차장02-6226-2722소하2동
43서울경복궁경기도 광명시 양달로 8, 4층 (일직동)갈비구이11:10~22:00설,추석220석18대02-898-9293소하2동