Overview

Dataset statistics

Number of variables12
Number of observations105
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.2 KiB
Average record size in memory99.3 B

Variable types

Categorical4
Text6
Numeric2

Dataset

Description경기도 안산시 모범음식점 현황으로 분야명,행정읍면동,업소명,소재지도로명주소,소재지지번주소,전화번호,주차여부,영업시간,주메뉴,위도,경도,데이터기준일자 등을 제공합니다.
URLhttps://www.data.go.kr/data/3071314/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
경도 is highly overall correlated with 행정읍면동High correlation
행정읍면동 is highly overall correlated with 경도High correlation
분야명 is highly imbalanced (58.0%)Imbalance
업소명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
소재지지번주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:31:37.010112
Analysis finished2023-12-12 01:31:38.965236
Duration1.96 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

분야명
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size972.0 B
한식
89 
중국식
 
8
일식
 
5
뷔페식
 
3

Length

Max length3
Median length2
Mean length2.1047619
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한식
2nd row뷔페식
3rd row한식
4th row한식
5th row한식

Common Values

ValueCountFrequency (%)
한식 89
84.8%
중국식 8
 
7.6%
일식 5
 
4.8%
뷔페식 3
 
2.9%

Length

2023-12-12T10:31:39.035392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:31:39.148415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 89
84.8%
중국식 8
 
7.6%
일식 5
 
4.8%
뷔페식 3
 
2.9%

행정읍면동
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Memory size972.0 B
사동
25 
고잔동
25 
이동
14 
대부북동
8 
초지동
6 
Other values (12)
27 

Length

Max length4
Median length3
Mean length2.7047619
Min length2

Unique

Unique7 ?
Unique (%)6.7%

Sample

1st row대부북동
2nd row고잔동
3rd row고잔동
4th row와동
5th row초지동

Common Values

ValueCountFrequency (%)
사동 25
23.8%
고잔동 25
23.8%
이동 14
13.3%
대부북동 8
 
7.6%
초지동 6
 
5.7%
본오동 6
 
5.7%
화정동 5
 
4.8%
선부동 5
 
4.8%
성포동 2
 
1.9%
부곡동 2
 
1.9%
Other values (7) 7
 
6.7%

Length

2023-12-12T10:31:39.279553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사동 25
23.8%
고잔동 25
23.8%
이동 14
13.3%
대부북동 8
 
7.6%
초지동 6
 
5.7%
본오동 6
 
5.7%
화정동 5
 
4.8%
선부동 5
 
4.8%
부곡동 2
 
1.9%
성포동 2
 
1.9%
Other values (7) 7
 
6.7%

업소명
Text

UNIQUE 

Distinct105
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
2023-12-12T10:31:39.518965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length11
Mean length6.4
Min length2

Characters and Unicode

Total characters672
Distinct characters233
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)100.0%

Sample

1st row33호 할머니칼국수
2nd rowAW웨딩컨벤션
3rd row갈비락
4th row개성손만두요리전문점
5th row고잔숯불갈비
ValueCountFrequency (%)
원할머니보쌈 2
 
1.7%
33호 1
 
0.8%
중앙역점 1
 
0.8%
천하일미 1
 
0.8%
진짜원조소나무집 1
 
0.8%
진장어 1
 
0.8%
좋구먼한정식 1
 
0.8%
다래 1
 
0.8%
정통일식 1
 
0.8%
장군부대찌개 1
 
0.8%
Other values (108) 108
90.8%
2023-12-12T10:31:39.939025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 15
 
2.2%
14
 
2.1%
탕 13
 
1.9%
국 11
 
1.6%
지 11
 
1.6%
수 10
 
1.5%
비 10
 
1.5%
갈 10
 
1.5%
리 9
 
1.3%
어 9
 
1.3%
Other values (223) 560
83.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 639
95.1%
Space Separator 14
 
2.1%
Open Punctuation 7
 
1.0%
Close Punctuation 7
 
1.0%
Decimal Number 2
 
0.3%
Uppercase Letter 2
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 15
 
2.3%
탕 13
 
2.0%
국 11
 
1.7%
지 11
 
1.7%
수 10
 
1.6%
비 10
 
1.6%
갈 10
 
1.6%
리 9
 
1.4%
어 9
 
1.4%
개 9
 
1.4%
Other values (216) 532
83.3%
Uppercase Letter
ValueCountFrequency (%)
W 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Decimal Number
ValueCountFrequency (%)
3 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 639
95.1%
Common 31
 
4.6%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 15
 
2.3%
탕 13
 
2.0%
국 11
 
1.7%
지 11
 
1.7%
수 10
 
1.6%
비 10
 
1.6%
갈 10
 
1.6%
리 9
 
1.4%
어 9
 
1.4%
개 9
 
1.4%
Other values (216) 532
83.3%
Common
ValueCountFrequency (%)
14
45.2%
( 7
22.6%
) 7
22.6%
3 2
 
6.5%
, 1
 
3.2%
Latin
ValueCountFrequency (%)
W 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 639
95.1%
ASCII 33
 
4.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 15
 
2.3%
탕 13
 
2.0%
국 11
 
1.7%
지 11
 
1.7%
수 10
 
1.6%
비 10
 
1.6%
갈 10
 
1.6%
리 9
 
1.4%
어 9
 
1.4%
개 9
 
1.4%
Other values (216) 532
83.3%
ASCII
ValueCountFrequency (%)
14
42.4%
( 7
21.2%
) 7
21.2%
3 2
 
6.1%
W 1
 
3.0%
A 1
 
3.0%
, 1
 
3.0%

소재지도로명주소
Text

UNIQUE 

Distinct105
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
2023-12-12T10:31:40.257849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length40
Mean length29.771429
Min length18

Characters and Unicode

Total characters3126
Distinct characters133
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)100.0%

Sample

1st row경기도 안산시 단원구 대부황금로 1297, 1층 (대부북동)
2nd row경기도 안산시 단원구 광덕1로 171, 3~5층 (고잔동,AW웨딩컨벤션)
3rd row경기도 안산시 상록구 서암로3길 1, 2~3층 (사동)
4th row경기도 안산시 상록구 예술광장1로 52, 108호 (월피동)
5th row경기도 안산시 단원구 광덕4로 102, 121호 (고잔동)
ValueCountFrequency (%)
경기도 105
 
15.2%
안산시 105
 
15.2%
단원구 62
 
9.0%
상록구 42
 
6.1%
고잔동 18
 
2.6%
1층 13
 
1.9%
사동 13
 
1.9%
광덕대로 8
 
1.2%
이동 7
 
1.0%
대부북동 6
 
0.9%
Other values (215) 312
45.2%
2023-12-12T10:31:40.781712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
588
 
18.8%
1 158
 
5.1%
산 111
 
3.6%
안 110
 
3.5%
시 110
 
3.5%
동 106
 
3.4%
경 105
 
3.4%
도 105
 
3.4%
구 105
 
3.4%
기 105
 
3.4%
Other values (123) 1523
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1734
55.5%
Space Separator 588
 
18.8%
Decimal Number 521
 
16.7%
Open Punctuation 92
 
2.9%
Close Punctuation 91
 
2.9%
Other Punctuation 71
 
2.3%
Dash Punctuation 19
 
0.6%
Math Symbol 6
 
0.2%
Uppercase Letter 3
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 111
 
6.4%
안 110
 
6.3%
시 110
 
6.3%
동 106
 
6.1%
경 105
 
6.1%
도 105
 
6.1%
구 105
 
6.1%
기 105
 
6.1%
로 83
 
4.8%
원 75
 
4.3%
Other values (102) 719
41.5%
Decimal Number
ValueCountFrequency (%)
1 158
30.3%
2 87
16.7%
0 54
 
10.4%
3 51
 
9.8%
6 40
 
7.7%
7 37
 
7.1%
4 30
 
5.8%
5 30
 
5.8%
9 21
 
4.0%
8 13
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
B 1
33.3%
W 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 70
98.6%
. 1
 
1.4%
Space Separator
ValueCountFrequency (%)
588
100.0%
Open Punctuation
ValueCountFrequency (%)
( 92
100.0%
Close Punctuation
ValueCountFrequency (%)
) 91
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1734
55.5%
Common 1388
44.4%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 111
 
6.4%
안 110
 
6.3%
시 110
 
6.3%
동 106
 
6.1%
경 105
 
6.1%
도 105
 
6.1%
구 105
 
6.1%
기 105
 
6.1%
로 83
 
4.8%
원 75
 
4.3%
Other values (102) 719
41.5%
Common
ValueCountFrequency (%)
588
42.4%
1 158
 
11.4%
( 92
 
6.6%
) 91
 
6.6%
2 87
 
6.3%
, 70
 
5.0%
0 54
 
3.9%
3 51
 
3.7%
6 40
 
2.9%
7 37
 
2.7%
Other values (7) 120
 
8.6%
Latin
ValueCountFrequency (%)
A 1
25.0%
Ⅱ 1
25.0%
B 1
25.0%
W 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1734
55.5%
ASCII 1391
44.5%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
588
42.3%
1 158
 
11.4%
( 92
 
6.6%
) 91
 
6.5%
2 87
 
6.3%
, 70
 
5.0%
0 54
 
3.9%
3 51
 
3.7%
6 40
 
2.9%
7 37
 
2.7%
Other values (10) 123
 
8.8%
Hangul
ValueCountFrequency (%)
산 111
 
6.4%
안 110
 
6.3%
시 110
 
6.3%
동 106
 
6.1%
경 105
 
6.1%
도 105
 
6.1%
구 105
 
6.1%
기 105
 
6.1%
로 83
 
4.8%
원 75
 
4.3%
Other values (102) 719
41.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지지번주소
Text

UNIQUE 

Distinct105
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
2023-12-12T10:31:41.118867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length37
Mean length26.504762
Min length19

Characters and Unicode

Total characters2783
Distinct characters125
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)100.0%

Sample

1st row경기도 안산시 단원구 대부북동 1161-105 1층
2nd row경기도 안산시 단원구 고잔동 718-3 AW웨딩컨벤션 3~5층
3rd row경기도 안산시 상록구 사동 1199-17 , 2~3층
4th row경기도 안산시 상록구 월피동 445-20 뉴월피프라자 108호
5th row경기도 안산시 단원구 고잔동 681-3 신원프라자 121호
ValueCountFrequency (%)
경기도 105
16.8%
안산시 105
16.8%
단원구 62
 
9.9%
상록구 43
 
6.9%
고잔동 26
 
4.2%
사동 15
 
2.4%
1층 13
 
2.1%
이동 11
 
1.8%
월피동 8
 
1.3%
초지동 7
 
1.1%
Other values (180) 230
36.8%
2023-12-12T10:31:41.611701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
531
19.1%
1 167
 
6.0%
동 110
 
4.0%
시 109
 
3.9%
안 107
 
3.8%
산 107
 
3.8%
경 105
 
3.8%
구 105
 
3.8%
기 105
 
3.8%
도 105
 
3.8%
Other values (115) 1232
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1488
53.5%
Decimal Number 648
23.3%
Space Separator 531
 
19.1%
Dash Punctuation 95
 
3.4%
Other Punctuation 9
 
0.3%
Math Symbol 6
 
0.2%
Uppercase Letter 3
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 110
 
7.4%
시 109
 
7.3%
안 107
 
7.2%
산 107
 
7.2%
경 105
 
7.1%
구 105
 
7.1%
기 105
 
7.1%
도 105
 
7.1%
원 69
 
4.6%
단 63
 
4.2%
Other values (94) 503
33.8%
Decimal Number
ValueCountFrequency (%)
1 167
25.8%
7 82
12.7%
2 73
11.3%
5 66
 
10.2%
0 61
 
9.4%
3 55
 
8.5%
4 51
 
7.9%
6 35
 
5.4%
8 31
 
4.8%
9 27
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
B 1
33.3%
W 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 8
88.9%
. 1
 
11.1%
Space Separator
ValueCountFrequency (%)
531
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 95
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1488
53.5%
Common 1291
46.4%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 110
 
7.4%
시 109
 
7.3%
안 107
 
7.2%
산 107
 
7.2%
경 105
 
7.1%
구 105
 
7.1%
기 105
 
7.1%
도 105
 
7.1%
원 69
 
4.6%
단 63
 
4.2%
Other values (94) 503
33.8%
Common
ValueCountFrequency (%)
531
41.1%
1 167
 
12.9%
- 95
 
7.4%
7 82
 
6.4%
2 73
 
5.7%
5 66
 
5.1%
0 61
 
4.7%
3 55
 
4.3%
4 51
 
4.0%
6 35
 
2.7%
Other values (7) 75
 
5.8%
Latin
ValueCountFrequency (%)
A 1
25.0%
Ⅱ 1
25.0%
B 1
25.0%
W 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1488
53.5%
ASCII 1294
46.5%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
531
41.0%
1 167
 
12.9%
- 95
 
7.3%
7 82
 
6.3%
2 73
 
5.6%
5 66
 
5.1%
0 61
 
4.7%
3 55
 
4.3%
4 51
 
3.9%
6 35
 
2.7%
Other values (10) 78
 
6.0%
Hangul
ValueCountFrequency (%)
동 110
 
7.4%
시 109
 
7.3%
안 107
 
7.2%
산 107
 
7.2%
경 105
 
7.1%
구 105
 
7.1%
기 105
 
7.1%
도 105
 
7.1%
원 69
 
4.6%
단 63
 
4.2%
Other values (94) 503
33.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

전화번호
Text

Distinct104
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
2023-12-12T10:31:41.869967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.009524
Min length12

Characters and Unicode

Total characters1261
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

Unique103 ?
Unique (%)98.1%

Sample

1st row032-886-9908
2nd row031-501-5900
3rd row031-408-9595
4th row031-475-8999
5th row031-403-9991
ValueCountFrequency (%)
031-419-5900 2
 
1.9%
031-406-1104 1
 
0.9%
031-415-7776 1
 
0.9%
031-316-3838 1
 
0.9%
031-485-3200 1
 
0.9%
032-886-2400 1
 
0.9%
031-483-5482 1
 
0.9%
031-410-5577 1
 
0.9%
031-403-4399 1
 
0.9%
031-480-3392 1
 
0.9%
Other values (95) 95
89.6%
2023-12-12T10:31:42.230894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 217
17.2%
- 210
16.7%
1 164
13.0%
3 163
12.9%
4 119
9.4%
8 86
 
6.8%
2 75
 
5.9%
5 70
 
5.6%
9 59
 
4.7%
6 51
 
4.0%
Other values (2) 47
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1050
83.3%
Dash Punctuation 210
 
16.7%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 217
20.7%
1 164
15.6%
3 163
15.5%
4 119
11.3%
8 86
 
8.2%
2 75
 
7.1%
5 70
 
6.7%
9 59
 
5.6%
6 51
 
4.9%
7 46
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 210
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1261
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 217
17.2%
- 210
16.7%
1 164
13.0%
3 163
12.9%
4 119
9.4%
8 86
 
6.8%
2 75
 
5.9%
5 70
 
5.6%
9 59
 
4.7%
6 51
 
4.0%
Other values (2) 47
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1261
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 217
17.2%
- 210
16.7%
1 164
13.0%
3 163
12.9%
4 119
9.4%
8 86
 
6.8%
2 75
 
5.9%
5 70
 
5.6%
9 59
 
4.7%
6 51
 
4.0%
Other values (2) 47
 
3.7%

주차여부
Categorical

Distinct28
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Memory size972.0 B
주차 완비
43 
확인불가
16 
가능
15 
주차가능
 
4
지하주차장
 
2
Other values (23)
25 

Length

Max length18
Median length13
Mean length5.1142857
Min length2

Unique

Unique21 ?
Unique (%)20.0%

Sample

1st row가능
2nd row700~1,000대
3rd row가능
4th row가능
5th row주차 완비

Common Values

ValueCountFrequency (%)
주차 완비 43
41.0%
확인불가 16
 
15.2%
가능 15
 
14.3%
주차가능 4
 
3.8%
지하주차장 2
 
1.9%
주차완비 2
 
1.9%
주차 가능 2
 
1.9%
100대 가능 1
 
1.0%
100대 주차 가능 1
 
1.0%
700~1,000대 1
 
1.0%
Other values (18) 18
17.1%

Length

2023-12-12T10:31:42.384486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주차 51
28.3%
완비 43
23.9%
가능 27
15.0%
확인불가 16
 
8.9%
주차가능 5
 
2.8%
지하주차장 3
 
1.7%
주차완비 3
 
1.7%
40대 2
 
1.1%
지상 2
 
1.1%
20대 2
 
1.1%
Other values (23) 26
14.4%

영업시간
Text

Distinct64
Distinct (%)61.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
2023-12-12T10:31:42.631263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length16
Mean length18.152381
Min length4

Characters and Unicode

Total characters1906
Distinct characters66
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)48.6%

Sample

1st row매일 09:00 ~ 21:00
2nd row매일 09:00 ~ 20:00
3rd row매일 11:30 ~ 22:00
4th row매일 11:00 ~ 22:00
5th row매일 10:00 ~ 23:30
ValueCountFrequency (%)
95
20.4%
매일 90
19.3%
22:00 35
 
7.5%
10:00 31
 
6.7%
11:00 26
 
5.6%
21:00 17
 
3.6%
휴무 15
 
3.2%
23:59 12
 
2.6%
연중무휴 11
 
2.4%
확인불가 10
 
2.1%
Other values (60) 124
26.6%
2023-12-12T10:31:43.032856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 407
21.4%
362
19.0%
: 200
10.5%
1 147
 
7.7%
2 134
 
7.0%
일 109
 
5.7%
~ 100
 
5.2%
매 95
 
5.0%
3 63
 
3.3%
, 33
 
1.7%
Other values (56) 256
13.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 802
42.1%
Other Letter 390
20.5%
Space Separator 362
19.0%
Other Punctuation 234
 
12.3%
Math Symbol 100
 
5.2%
Lowercase Letter 16
 
0.8%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 109
27.9%
매 95
24.4%
휴 29
 
7.4%
무 28
 
7.2%
연 12
 
3.1%
중 12
 
3.1%
가 11
 
2.8%
인 10
 
2.6%
불 10
 
2.6%
확 10
 
2.6%
Other values (31) 64
16.4%
Decimal Number
ValueCountFrequency (%)
0 407
50.7%
1 147
 
18.3%
2 134
 
16.7%
3 63
 
7.9%
9 20
 
2.5%
5 16
 
2.0%
6 5
 
0.6%
7 5
 
0.6%
4 3
 
0.4%
8 2
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
e 4
25.0%
k 2
12.5%
a 2
12.5%
r 2
12.5%
m 2
12.5%
i 2
12.5%
t 1
 
6.2%
b 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
: 200
85.5%
, 33
 
14.1%
/ 1
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
T 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
362
100.0%
Math Symbol
ValueCountFrequency (%)
~ 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1498
78.6%
Hangul 390
 
20.5%
Latin 18
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 109
27.9%
매 95
24.4%
휴 29
 
7.4%
무 28
 
7.2%
연 12
 
3.1%
중 12
 
3.1%
가 11
 
2.8%
인 10
 
2.6%
불 10
 
2.6%
확 10
 
2.6%
Other values (31) 64
16.4%
Common
ValueCountFrequency (%)
0 407
27.2%
362
24.2%
: 200
13.4%
1 147
 
9.8%
2 134
 
8.9%
~ 100
 
6.7%
3 63
 
4.2%
, 33
 
2.2%
9 20
 
1.3%
5 16
 
1.1%
Other values (5) 16
 
1.1%
Latin
ValueCountFrequency (%)
e 4
22.2%
k 2
11.1%
a 2
11.1%
r 2
11.1%
m 2
11.1%
i 2
11.1%
T 1
 
5.6%
B 1
 
5.6%
t 1
 
5.6%
b 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1516
79.5%
Hangul 390
 
20.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 407
26.8%
362
23.9%
: 200
13.2%
1 147
 
9.7%
2 134
 
8.8%
~ 100
 
6.6%
3 63
 
4.2%
, 33
 
2.2%
9 20
 
1.3%
5 16
 
1.1%
Other values (15) 34
 
2.2%
Hangul
ValueCountFrequency (%)
일 109
27.9%
매 95
24.4%
휴 29
 
7.4%
무 28
 
7.2%
연 12
 
3.1%
중 12
 
3.1%
가 11
 
2.8%
인 10
 
2.6%
불 10
 
2.6%
확 10
 
2.6%
Other values (31) 64
16.4%

주메뉴
Text

Distinct81
Distinct (%)77.1%
Missing0
Missing (%)0.0%
Memory size972.0 B
2023-12-12T10:31:43.328029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length5.8095238
Min length1

Characters and Unicode

Total characters610
Distinct characters158
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

Unique68 ?
Unique (%)64.8%

Sample

1st row바지락칼국수
2nd row뷔페
3rd row돼지생갈비
4th row만두전골
5th row생갈비,양념갈비
ValueCountFrequency (%)
짜장면,탕수육 5
 
4.6%
추어탕 4
 
3.7%
갈비 4
 
3.7%
연포탕,낙지덮밥 3
 
2.8%
복어탕,복어찜 3
 
2.8%
순대국밥 3
 
2.8%
부대찌개 3
 
2.8%
참치회 2
 
1.8%
바지락칼국수 2
 
1.8%
설렁탕,곰탕 2
 
1.8%
Other values (75) 78
71.6%
2023-12-12T10:31:43.890139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 45
 
7.4%
탕 33
 
5.4%
갈 19
 
3.1%
비 19
 
3.1%
어 18
 
3.0%
지 17
 
2.8%
장 15
 
2.5%
수 15
 
2.5%
국 12
 
2.0%
밥 12
 
2.0%
Other values (148) 405
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 559
91.6%
Other Punctuation 45
 
7.4%
Space Separator 4
 
0.7%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
탕 33
 
5.9%
갈 19
 
3.4%
비 19
 
3.4%
어 18
 
3.2%
지 17
 
3.0%
장 15
 
2.7%
수 15
 
2.7%
국 12
 
2.1%
밥 12
 
2.1%
찜 10
 
1.8%
Other values (144) 389
69.6%
Other Punctuation
ValueCountFrequency (%)
, 45
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 559
91.6%
Common 51
 
8.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
탕 33
 
5.9%
갈 19
 
3.4%
비 19
 
3.4%
어 18
 
3.2%
지 17
 
3.0%
장 15
 
2.7%
수 15
 
2.7%
국 12
 
2.1%
밥 12
 
2.1%
찜 10
 
1.8%
Other values (144) 389
69.6%
Common
ValueCountFrequency (%)
, 45
88.2%
4
 
7.8%
( 1
 
2.0%
) 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 559
91.6%
ASCII 51
 
8.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 45
88.2%
4
 
7.8%
( 1
 
2.0%
) 1
 
2.0%
Hangul
ValueCountFrequency (%)
탕 33
 
5.9%
갈 19
 
3.4%
비 19
 
3.4%
어 18
 
3.2%
지 17
 
3.0%
장 15
 
2.7%
수 15
 
2.7%
국 12
 
2.1%
밥 12
 
2.1%
찜 10
 
1.8%
Other values (144) 389
69.6%

위도
Real number (ℝ)

Distinct99
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.313302
Minimum37.238071
Maximum37.358612
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T10:31:44.211783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.238071
5-th percentile37.276438
Q137.303506
median37.312396
Q337.329228
95-th percentile37.34888
Maximum37.358612
Range0.120541
Interquartile range (IQR)0.025722

Descriptive statistics

Standard deviation0.021714466
Coefficient of variation (CV)0.00058194973
Kurtosis1.6599893
Mean37.313302
Median Absolute Deviation (MAD)0.01111
Skewness-0.63648681
Sum3917.8967
Variance0.00047151802
MonotonicityNot monotonic
2023-12-12T10:31:44.430923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.332555 3
 
2.9%
37.319088 2
 
1.9%
37.314287 2
 
1.9%
37.314648 2
 
1.9%
37.318593 2
 
1.9%
37.272031 1
 
1.0%
37.301286 1
 
1.0%
37.334785 1
 
1.0%
37.314343 1
 
1.0%
37.311094 1
 
1.0%
Other values (89) 89
84.8%
ValueCountFrequency (%)
37.238071 1
1.0%
37.238735 1
1.0%
37.268621 1
1.0%
37.27004206 1
1.0%
37.272031 1
1.0%
37.275504 1
1.0%
37.280175 1
1.0%
37.282458 1
1.0%
37.283451 1
1.0%
37.287699 1
1.0%
ValueCountFrequency (%)
37.358612 1
1.0%
37.358361 1
1.0%
37.351665 1
1.0%
37.349421 1
1.0%
37.34929127 1
1.0%
37.3491486 1
1.0%
37.347806 1
1.0%
37.347559 1
1.0%
37.344115 1
1.0%
37.341033 1
1.0%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct99
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.81452
Minimum126.56911
Maximum126.87224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T10:31:44.606522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.56911
5-th percentile126.58289
Q1126.8166
median126.83116
Q3126.84699
95-th percentile126.86281
Maximum126.87224
Range0.303133
Interquartile range (IQR)0.030384

Descriptive statistics

Standard deviation0.07003807
Coefficient of variation (CV)0.00055228747
Kurtosis7.2704612
Mean126.81452
Median Absolute Deviation (MAD)0.015579
Skewness-2.8638778
Sum13315.524
Variance0.0049053312
MonotonicityNot monotonic
2023-12-12T10:31:44.788418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.810405 3
 
2.9%
126.829743 2
 
1.9%
126.797242 2
 
1.9%
126.831163 2
 
1.9%
126.836468 2
 
1.9%
126.57049 1
 
1.0%
126.865854 1
 
1.0%
126.85777 1
 
1.0%
126.838496 1
 
1.0%
126.828464 1
 
1.0%
Other values (89) 89
84.8%
ValueCountFrequency (%)
126.569106 1
1.0%
126.569162 1
1.0%
126.569247 1
1.0%
126.57049 1
1.0%
126.5710847 1
1.0%
126.575159 1
1.0%
126.61382 1
1.0%
126.617351 1
1.0%
126.752776 1
1.0%
126.792964 1
1.0%
ValueCountFrequency (%)
126.872239 1
1.0%
126.872157 1
1.0%
126.870679 1
1.0%
126.869289 1
1.0%
126.865854 1
1.0%
126.863412 1
1.0%
126.860407 1
1.0%
126.858599 1
1.0%
126.85777 1
1.0%
126.855734 1
1.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
2023-08-20
105 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-20
2nd row2023-08-20
3rd row2023-08-20
4th row2023-08-20
5th row2023-08-20

Common Values

ValueCountFrequency (%)
2023-08-20 105
100.0%

Length

2023-12-12T10:31:44.976465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:31:45.107667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-20 105
100.0%

Interactions

2023-12-12T10:31:38.397921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:31:37.864744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:31:38.510031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:31:37.962487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:31:45.184938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분야명행정읍면동주차여부영업시간주메뉴위도경도
분야명1.0000.0000.6510.8551.0000.0000.050
행정읍면동0.0001.0000.2550.9170.0000.6770.901
주차여부0.6510.2551.0000.9370.9350.6570.777
영업시간0.8550.9170.9371.0000.8560.0000.868
주메뉴1.0000.0000.9350.8561.0000.8220.000
위도0.0000.6770.6570.0000.8221.0000.855
경도0.0500.9010.7770.8680.0000.8551.000
2023-12-12T10:31:45.329345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분야명주차여부행정읍면동
분야명1.0000.3150.000
주차여부0.3151.0000.045
행정읍면동0.0000.0451.000
2023-12-12T10:31:45.446980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도분야명행정읍면동주차여부
위도1.000-0.0800.0000.3310.275
경도-0.0801.0000.0230.6670.425
분야명0.0000.0231.0000.0000.315
행정읍면동0.3310.6670.0001.0000.045
주차여부0.2750.4250.3150.0451.000

Missing values

2023-12-12T10:31:38.661608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:31:38.894991image/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

분야명행정읍면동업소명소재지도로명주소소재지지번주소전화번호주차여부영업시간주메뉴위도경도데이터기준일자
0한식대부북동33호 할머니칼국수경기도 안산시 단원구 대부황금로 1297, 1층 (대부북동)경기도 안산시 단원구 대부북동 1161-105 1층032-886-9908가능매일 09:00 ~ 21:00바지락칼국수37.272031126.570492023-08-20
1뷔페식고잔동AW웨딩컨벤션경기도 안산시 단원구 광덕1로 171, 3~5층 (고잔동,AW웨딩컨벤션)경기도 안산시 단원구 고잔동 718-3 AW웨딩컨벤션 3~5층031-501-5900700~1,000대매일 09:00 ~ 20:00뷔페37.308121126.8287412023-08-20
2한식고잔동갈비락경기도 안산시 상록구 서암로3길 1, 2~3층 (사동)경기도 안산시 상록구 사동 1199-17 , 2~3층031-408-9595가능매일 11:30 ~ 22:00돼지생갈비37.302402126.8499032023-08-20
3한식와동개성손만두요리전문점경기도 안산시 상록구 예술광장1로 52, 108호 (월피동)경기도 안산시 상록구 월피동 445-20 뉴월피프라자 108호031-475-8999가능매일 11:00 ~ 22:00만두전골37.328952126.8475142023-08-20
4한식초지동고잔숯불갈비경기도 안산시 단원구 광덕4로 102, 121호 (고잔동)경기도 안산시 단원구 고잔동 681-3 신원프라자 121호031-403-9991주차 완비매일 10:00 ~ 23:30생갈비,양념갈비37.315114126.8235472023-08-20
5한식사동고향순대감자탕경기도 안산시 상록구 선진4길 35 (사동)경기도 안산시 상록구 사동 1471-14031-406-0166주차 완비확인불가순대국밥37.280175126.8512112023-08-20
6한식사동광양참숯불구이경기도 안산시 단원구 광덕동로 101, 206호 (고잔동)경기도 안산시 단원구 고잔동 727-1 두일빌딩 206호031-419-923330대매일 11:00 ~ 22:30한우구이,갈비탕37.313533126.8326092023-08-20
7중국식고잔동교동중화반점경기도 안산시 단원구 화정천동로8길 6 (와동)경기도 안산시 단원구 와동 789-3031-487-500215대 주차가능매일 10:30 ~ 21:30손짜장면,탕수육37.347806126.8196552023-08-20
8한식사동구곡산장경기도 안산시 상록구 댕이길 12 (사동)경기도 안산시 상록구 사동 1352-4031-419-5292주차 완비매일 11:00 ~ 22:00오리구이37.293762126.8436612023-08-20
9한식고잔동굴다리영양탕경기도 안산시 단원구 광덕대로 206, 214호 (고잔동)경기도 안산시 단원구 고잔동 724 골든오피스텔 214호031-402-9344지상 1층 ~ 지상 5층매일 10:00 ~ 22:00토종닭,오리주물럭37.314648126.8311632023-08-20
분야명행정읍면동업소명소재지도로명주소소재지지번주소전화번호주차여부영업시간주메뉴위도경도데이터기준일자
95한식고잔동경복궁삼계탕안산점경기도 안산시 단원구 광덕1로 163, 101,102,103,104호 (고잔동, 동남레이크빌Ⅱ )경기도 안산시 단원구 고잔동 718-1 동남레이크빌Ⅱ 101,102,103,104호031-475-3988주차 완비매일 10:30 ~ 21:00삼계탕37.308374126.8278192023-08-20
96한식초지동경선진갈비 안산점경기도 안산시 단원구 초지2로 59, 2층 (초지동)경기도 안산시 단원구 초지동 734-7 2층031-483-9295주차 완비매일 11:00 ~ 23:00갈비37.306519126.8155582023-08-20
97한식사동구이명가 국민갈비경기도 안산시 상록구 항가울로 70, 1층 (사동)경기도 안산시 상록구 사동 1372-6031-416-3070주차 완비매일 11:30 ~ 22:00갈비37.28787126.8458492023-08-20
98한식대부북동낙지촌경기도 안산시 단원구 대선로 13, 1층 (대부북동)경기도 안산시 단원구 대부북동 1837-10 1층032-880-9674주차 완비매일 08:00 ~ 22:00낙지요리37.270042126.5710852023-08-20
99한식선부동본가해미청경기도 안산시 단원구 선부광장로 67 (선부동, 2층)경기도 안산시 단원구 선부동 1077-17 2층031-402-1700주차 완비매일 11:00 ~ 22:00해물찜37.333086126.8113662023-08-20
100뷔페식고잔동빅토리아경기도 안산시 단원구 광덕4로 112 (고잔동, 681-6 슈마프라자 4층)경기도 안산시 단원구 고잔동 681-6 슈마프라자 4층031-487-6868주차 완비평일 10:00 ~ 21:00, 주말 11:00 ~21:00, 매주 월요일 휴무뷔페식37.315144126.8247682023-08-20
101일식고잔동와참치경기도 안산시 단원구 광덕대로 168 (고잔동, 신화타운 117,118,119호경기도 안산시 단원구 고잔동 771031-410 -3977주차 완비매일 16:00 ~ 01:00참치회37.311267126.8308182023-08-20
102한식화정동우연경기도 안산시 단원구 쑥개길 6 (화정동, 315-5 1.2층)경기도 안산시 단원구 화정동 315-5 1.2층031-482-9595주차 완비매일 11:00 ~ 22:00소고기구이37.349291126.8205332023-08-20
103한식화정동화랑갈비경기도 안산시 단원구 쑥개길 23 (화정동, 319-6 )경기도 안산시 단원구 화정동 319-6031-410-7292주차 완비매일 11:00 ~ 22:30갈비37.349149126.8223752023-08-20
104한식이동청담물갈비(구 푸줏간생고기)경기도 안산시 상록구 광덕1로 379, 1층 112~113호 (이동, 한남빌딩)경기도 안산시 상록구 이동 715-2 한남빌딩 112~113호031-417-3892주차가능매일 11:00 ~ 23:00물갈비37.308649126.8512432023-08-20