Overview

Dataset statistics

Number of variables11
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory93.3 B

Variable types

Text5
Categorical1
Numeric1
DateTime2
Boolean2

Dataset

Description경상남도 합천군 착한가격 업소 현황 데이터로 경상남도 합천군의 읍면별, 업소별 착한 가격 업소 현황과 업소주요메뉴에 관한 데이터 정보를 제공합니다.
Author경상남도 합천군
URLhttps://www.data.go.kr/data/3069023/fileData.do

Alerts

업종 is highly overall correlated with 배달가능여부High correlation
배달가능여부 is highly overall correlated with 업종High correlation
업종 is highly imbalanced (53.5%)Imbalance
배달가능여부 is highly imbalanced (65.5%)Imbalance
업소명 has unique valuesUnique
대표자 has unique valuesUnique
소재지 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:18:06.830723
Analysis finished2023-12-12 00:18:07.523451
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T09:18:07.660167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.2258065
Min length3

Characters and Unicode

Total characters162
Distinct characters97
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row만복식당
2nd row클우동
3rd row강변식육식당
4th row남정이발관
5th row행복한목욕탕
ValueCountFrequency (%)
만복식당 1
 
3.2%
세진숯불갈비 1
 
3.2%
목화세탁소 1
 
3.2%
대가한우 1
 
3.2%
다라국수 1
 
3.2%
황대감약도라지백숙 1
 
3.2%
송이대구뽈찜 1
 
3.2%
대병돼지국밥 1
 
3.2%
삼가명품한우 1
 
3.2%
연하정 1
 
3.2%
Other values (21) 21
67.7%
2023-12-12T09:18:08.009723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 12
 
7.4%
당 9
 
5.6%
대 5
 
3.1%
가 4
 
2.5%
지 4
 
2.5%
삼 3
 
1.9%
탕 3
 
1.9%
한 3
 
1.9%
세 3
 
1.9%
수 3
 
1.9%
Other values (87) 113
69.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 162
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 12
 
7.4%
당 9
 
5.6%
대 5
 
3.1%
가 4
 
2.5%
지 4
 
2.5%
삼 3
 
1.9%
탕 3
 
1.9%
한 3
 
1.9%
세 3
 
1.9%
수 3
 
1.9%
Other values (87) 113
69.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 162
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 12
 
7.4%
당 9
 
5.6%
대 5
 
3.1%
가 4
 
2.5%
지 4
 
2.5%
삼 3
 
1.9%
탕 3
 
1.9%
한 3
 
1.9%
세 3
 
1.9%
수 3
 
1.9%
Other values (87) 113
69.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 162
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 12
 
7.4%
당 9
 
5.6%
대 5
 
3.1%
가 4
 
2.5%
지 4
 
2.5%
삼 3
 
1.9%
탕 3
 
1.9%
한 3
 
1.9%
세 3
 
1.9%
수 3
 
1.9%
Other values (87) 113
69.8%

대표자
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T09:18:08.221617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters93
Distinct characters54
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row성순옥
2nd row최용욱
3rd row손순희
4th row이두원
5th row김숙희
ValueCountFrequency (%)
성순옥 1
 
3.2%
유갑선 1
 
3.2%
이봉재 1
 
3.2%
최현란 1
 
3.2%
강영미 1
 
3.2%
강종민 1
 
3.2%
이주연 1
 
3.2%
황선희 1
 
3.2%
도경준 1
 
3.2%
문유정 1
 
3.2%
Other values (21) 21
67.7%
2023-12-12T09:18:08.510628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
희 7
 
7.5%
이 6
 
6.5%
순 6
 
6.5%
최 3
 
3.2%
김 3
 
3.2%
숙 3
 
3.2%
영 3
 
3.2%
정 3
 
3.2%
성 2
 
2.2%
안 2
 
2.2%
Other values (44) 55
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 93
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
희 7
 
7.5%
이 6
 
6.5%
순 6
 
6.5%
최 3
 
3.2%
김 3
 
3.2%
숙 3
 
3.2%
영 3
 
3.2%
정 3
 
3.2%
성 2
 
2.2%
안 2
 
2.2%
Other values (44) 55
59.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 93
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
희 7
 
7.5%
이 6
 
6.5%
순 6
 
6.5%
최 3
 
3.2%
김 3
 
3.2%
숙 3
 
3.2%
영 3
 
3.2%
정 3
 
3.2%
성 2
 
2.2%
안 2
 
2.2%
Other values (44) 55
59.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 93
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
희 7
 
7.5%
이 6
 
6.5%
순 6
 
6.5%
최 3
 
3.2%
김 3
 
3.2%
숙 3
 
3.2%
영 3
 
3.2%
정 3
 
3.2%
성 2
 
2.2%
안 2
 
2.2%
Other values (44) 55
59.1%

소재지
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T09:18:08.713008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length25
Mean length21
Min length19

Characters and Unicode

Total characters651
Distinct characters59
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

Unique31 ?
Unique (%)100.0%

Sample

1st row경상남도 합천군 삼가면 삼가중앙길 26
2nd row경상남도 합천군 합천읍 충효로 71
3rd row경상남도 합천군 합천읍 남정길 17
4th row경상남도 합천군 합천읍 남정길 18
5th row경상남도 합천군 합천읍 충효로 51-1
ValueCountFrequency (%)
합천군 32
20.4%
경상남도 31
19.7%
합천읍 12
 
7.6%
서부로 5
 
3.2%
충효로 4
 
2.5%
삼가면 4
 
2.5%
옥산로 4
 
2.5%
대병면 3
 
1.9%
봉산면 3
 
1.9%
회양관광단지길 2
 
1.3%
Other values (50) 57
36.3%
2023-12-12T09:18:09.058501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
126
19.4%
합 44
 
6.8%
천 44
 
6.8%
남 33
 
5.1%
군 32
 
4.9%
경 31
 
4.8%
도 31
 
4.8%
상 31
 
4.8%
1 23
 
3.5%
로 22
 
3.4%
Other values (49) 234
35.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 425
65.3%
Space Separator 126
 
19.4%
Decimal Number 90
 
13.8%
Dash Punctuation 10
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
합 44
 
10.4%
천 44
 
10.4%
남 33
 
7.8%
군 32
 
7.5%
경 31
 
7.3%
도 31
 
7.3%
상 31
 
7.3%
로 22
 
5.2%
면 19
 
4.5%
읍 12
 
2.8%
Other values (37) 126
29.6%
Decimal Number
ValueCountFrequency (%)
1 23
25.6%
3 13
14.4%
8 10
11.1%
2 10
11.1%
6 7
 
7.8%
4 7
 
7.8%
7 6
 
6.7%
9 6
 
6.7%
5 5
 
5.6%
0 3
 
3.3%
Space Separator
ValueCountFrequency (%)
126
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 425
65.3%
Common 226
34.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
합 44
 
10.4%
천 44
 
10.4%
남 33
 
7.8%
군 32
 
7.5%
경 31
 
7.3%
도 31
 
7.3%
상 31
 
7.3%
로 22
 
5.2%
면 19
 
4.5%
읍 12
 
2.8%
Other values (37) 126
29.6%
Common
ValueCountFrequency (%)
126
55.8%
1 23
 
10.2%
3 13
 
5.8%
8 10
 
4.4%
- 10
 
4.4%
2 10
 
4.4%
6 7
 
3.1%
4 7
 
3.1%
7 6
 
2.7%
9 6
 
2.7%
Other values (2) 8
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 425
65.3%
ASCII 226
34.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
126
55.8%
1 23
 
10.2%
3 13
 
5.8%
8 10
 
4.4%
- 10
 
4.4%
2 10
 
4.4%
6 7
 
3.1%
4 7
 
3.1%
7 6
 
2.7%
9 6
 
2.7%
Other values (2) 8
 
3.5%
Hangul
ValueCountFrequency (%)
합 44
 
10.4%
천 44
 
10.4%
남 33
 
7.8%
군 32
 
7.5%
경 31
 
7.3%
도 31
 
7.3%
상 31
 
7.3%
로 22
 
5.2%
면 19
 
4.5%
읍 12
 
2.8%
Other values (37) 126
29.6%

연락처
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T09:18:09.258192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters372
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

Unique31 ?
Unique (%)100.0%

Sample

1st row055-932-4660
2nd row055-934-1808
3rd row055-933-0186
4th row055-933-9999
5th row055-931-1151
ValueCountFrequency (%)
055-932-4660 1
 
3.2%
055-933-6453 1
 
3.2%
055-932-1804 1
 
3.2%
055-932-1106 1
 
3.2%
055-931-7245 1
 
3.2%
055-931-1870 1
 
3.2%
055-931-5488 1
 
3.2%
055-933-2316 1
 
3.2%
055-931-5004 1
 
3.2%
055-931-5253 1
 
3.2%
Other values (21) 21
67.7%
2023-12-12T09:18:09.916840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 72
19.4%
- 62
16.7%
3 54
14.5%
0 49
13.2%
9 41
11.0%
1 30
8.1%
2 17
 
4.6%
6 15
 
4.0%
4 13
 
3.5%
8 11
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 310
83.3%
Dash Punctuation 62
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 72
23.2%
3 54
17.4%
0 49
15.8%
9 41
13.2%
1 30
9.7%
2 17
 
5.5%
6 15
 
4.8%
4 13
 
4.2%
8 11
 
3.5%
7 8
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 372
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 72
19.4%
- 62
16.7%
3 54
14.5%
0 49
13.2%
9 41
11.0%
1 30
8.1%
2 17
 
4.6%
6 15
 
4.0%
4 13
 
3.5%
8 11
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 372
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 72
19.4%
- 62
16.7%
3 54
14.5%
0 49
13.2%
9 41
11.0%
1 30
8.1%
2 17
 
4.6%
6 15
 
4.0%
4 13
 
3.5%
8 11
 
3.0%

업종
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
한식
25 
목욕업
 
2
세탁업
 
2
기타양식
 
1
이미용업
 
1

Length

Max length4
Median length2
Mean length2.2580645
Min length2

Unique

Unique2 ?
Unique (%)6.5%

Sample

1st row한식
2nd row기타양식
3rd row한식
4th row이미용업
5th row목욕업

Common Values

ValueCountFrequency (%)
한식 25
80.6%
목욕업 2
 
6.5%
세탁업 2
 
6.5%
기타양식 1
 
3.2%
이미용업 1
 
3.2%

Length

2023-12-12T09:18:10.067667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:18:10.176515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 25
80.6%
목욕업 2
 
6.5%
세탁업 2
 
6.5%
기타양식 1
 
3.2%
이미용업 1
 
3.2%

대표품목
Text

Distinct24
Distinct (%)77.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T09:18:10.373992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.6451613
Min length2

Characters and Unicode

Total characters175
Distinct characters69
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

Unique19 ?
Unique (%)61.3%

Sample

1st row비빔밥
2nd row돈가스
3rd row삽겹살(200g)
4th row이발료
5th row목욕료(대인)
ValueCountFrequency (%)
삼겹살(200g 3
 
9.7%
삼겹살(180g 3
 
9.7%
목욕료(대인 2
 
6.5%
수선료 2
 
6.5%
돼지국밥 2
 
6.5%
쇠고기전골 1
 
3.2%
비빔밥 1
 
3.2%
삼계탕 1
 
3.2%
국수 1
 
3.2%
오리약도라지백숙 1
 
3.2%
Other values (14) 14
45.2%
2023-12-12T09:18:10.701346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 11
 
6.3%
0 11
 
6.3%
) 11
 
6.3%
삼 8
 
4.6%
살 8
 
4.6%
겹 8
 
4.6%
g 7
 
4.0%
료 5
 
2.9%
2 4
 
2.3%
밥 4
 
2.3%
Other values (59) 98
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 124
70.9%
Decimal Number 21
 
12.0%
Open Punctuation 11
 
6.3%
Close Punctuation 11
 
6.3%
Lowercase Letter 7
 
4.0%
Math Symbol 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
삼 8
 
6.5%
살 8
 
6.5%
겹 8
 
6.5%
료 5
 
4.0%
밥 4
 
3.2%
국 4
 
3.2%
지 4
 
3.2%
수 4
 
3.2%
구 3
 
2.4%
이 3
 
2.4%
Other values (51) 73
58.9%
Decimal Number
ValueCountFrequency (%)
0 11
52.4%
2 4
 
19.0%
8 3
 
14.3%
1 3
 
14.3%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Lowercase Letter
ValueCountFrequency (%)
g 7
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 124
70.9%
Common 44
 
25.1%
Latin 7
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
삼 8
 
6.5%
살 8
 
6.5%
겹 8
 
6.5%
료 5
 
4.0%
밥 4
 
3.2%
국 4
 
3.2%
지 4
 
3.2%
수 4
 
3.2%
구 3
 
2.4%
이 3
 
2.4%
Other values (51) 73
58.9%
Common
ValueCountFrequency (%)
( 11
25.0%
0 11
25.0%
) 11
25.0%
2 4
 
9.1%
8 3
 
6.8%
1 3
 
6.8%
+ 1
 
2.3%
Latin
ValueCountFrequency (%)
g 7
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 124
70.9%
ASCII 51
29.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 11
21.6%
0 11
21.6%
) 11
21.6%
g 7
13.7%
2 4
 
7.8%
8 3
 
5.9%
1 3
 
5.9%
+ 1
 
2.0%
Hangul
ValueCountFrequency (%)
삼 8
 
6.5%
살 8
 
6.5%
겹 8
 
6.5%
료 5
 
4.0%
밥 4
 
3.2%
국 4
 
3.2%
지 4
 
3.2%
수 4
 
3.2%
구 3
 
2.4%
이 3
 
2.4%
Other values (51) 73
58.9%

가격
Real number (ℝ)

Distinct10
Distinct (%)32.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8612.9032
Minimum3000
Maximum50000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T09:18:10.860514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000
5-th percentile3000
Q15000
median8000
Q38000
95-th percentile16500
Maximum50000
Range47000
Interquartile range (IQR)3000

Descriptive statistics

Standard deviation8460.4075
Coefficient of variation (CV)0.9822945
Kurtosis20.372122
Mean8612.9032
Median Absolute Deviation (MAD)2000
Skewness4.2893665
Sum267000
Variance71578495
MonotonicityNot monotonic
2023-12-12T09:18:11.014597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
8000 9
29.0%
5000 6
19.4%
3000 3
 
9.7%
6000 3
 
9.7%
9000 3
 
9.7%
7000 2
 
6.5%
10000 2
 
6.5%
23000 1
 
3.2%
50000 1
 
3.2%
4000 1
 
3.2%
ValueCountFrequency (%)
3000 3
 
9.7%
4000 1
 
3.2%
5000 6
19.4%
6000 3
 
9.7%
7000 2
 
6.5%
8000 9
29.0%
9000 3
 
9.7%
10000 2
 
6.5%
23000 1
 
3.2%
50000 1
 
3.2%
ValueCountFrequency (%)
50000 1
 
3.2%
23000 1
 
3.2%
10000 2
 
6.5%
9000 3
 
9.7%
8000 9
29.0%
7000 2
 
6.5%
6000 3
 
9.7%
5000 6
19.4%
4000 1
 
3.2%
3000 3
 
9.7%

영업시작시간
Date

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2023-12-12 05:00:00
Maximum2023-12-12 11:00:00
2023-12-12T09:18:11.124929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:18:11.212859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

영업종료시간
Date

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2023-12-12 19:00:00
Maximum2023-12-12 23:00:00
2023-12-12T09:18:11.293744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:18:11.388299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

배달가능여부
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size163.0 B
False
29 
True
 
2
ValueCountFrequency (%)
False 29
93.5%
True 2
 
6.5%
2023-12-12T09:18:11.529318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

주차가능여부
Boolean

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size163.0 B
True
25 
False
6 
ValueCountFrequency (%)
True 25
80.6%
False 6
 
19.4%
2023-12-12T09:18:11.623118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2023-12-12T09:18:07.221350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:18:11.701313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명대표자소재지연락처업종대표품목가격영업시작시간영업종료시간배달가능여부주차가능여부
업소명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
업종1.0001.0001.0001.0001.0001.0000.0000.6640.0000.5290.237
대표품목1.0001.0001.0001.0001.0001.0001.0000.8770.0001.0000.559
가격1.0001.0001.0001.0000.0001.0001.0000.0000.0000.0000.211
영업시작시간1.0001.0001.0001.0000.6640.8770.0001.0000.3760.3450.352
영업종료시간1.0001.0001.0001.0000.0000.0000.0000.3761.0000.0000.183
배달가능여부1.0001.0001.0001.0000.5291.0000.0000.3450.0001.0000.000
주차가능여부1.0001.0001.0001.0000.2370.5590.2110.3520.1830.0001.000
2023-12-12T09:18:11.829415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종배달가능여부주차가능여부
업종1.0000.6050.267
배달가능여부0.6051.0000.000
주차가능여부0.2670.0001.000
2023-12-12T09:18:11.916066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
가격업종배달가능여부주차가능여부
가격1.0000.0000.0000.141
업종0.0001.0000.6050.267
배달가능여부0.0000.6051.0000.000
주차가능여부0.1410.2670.0001.000

Missing values

2023-12-12T09:18:07.325097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:18:07.471049image/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

업소명대표자소재지연락처업종대표품목가격영업시작시간영업종료시간배달가능여부주차가능여부
0만복식당성순옥경상남도 합천군 삼가면 삼가중앙길 26055-932-4660한식비빔밥500011:0021:00YY
1클우동최용욱경상남도 합천군 합천읍 충효로 71055-934-1808기타양식돈가스500011:0021:00YN
2강변식육식당손순희경상남도 합천군 합천읍 남정길 17055-933-0186한식삽겹살(200g)800011:0021:00NY
3남정이발관이두원경상남도 합천군 합천읍 남정길 18055-933-9999이미용업이발료800009:0021:00NY
4행복한목욕탕김숙희경상남도 합천군 합천읍 충효로 51-1055-931-1151목욕업목욕료(대인)500005:0022:00NY
5만수탕박연순경상남도 합천군 합천읍 중앙로 76-9055-931-8369목욕업목욕료(대인)500005:0022:00NY
6삼가세탁소김미애경상남도 합천군 합천군 삼가면 중앙2길 7-6055-931-4414세탁업수선료300010:0021:00NY
7원조할매추어탕오명순경상남도 합천군 합천읍 옥산로 62055-932-0667한식추어탕600011:0020:00NN
8중앙식육식당배진희경상남도 합천군 합천읍 충효로 81055-931-2246한식돼지국밥500011:0021:00NN
9돈먹쇠숯불갈비안상기경상남도 합천군 초계면 초계2길 2055-933-9669한식삼겹살(200g)800010:0021:00NY
업소명대표자소재지연락처업종대표품목가격영업시작시간영업종료시간배달가능여부주차가능여부
21수미정식당이순희경상남도 합천군 가야면 가조가야로 2880055-931-1613한식쇠고기전골900010:0022:00NY
22연하정문유정경상남도 합천군 쌍책면 성산큰길 19055-931-5253한식김치찌개600010:0022:00NY
23삼가명품한우도경준경상남도 합천군 삼가면 서부로 39055-931-5004한식삼겹살(200g)800010:0022:00NY
24대병돼지국밥황선희경상남도 합천군 대병면 신성동길 18055-933-2316한식돼지머리수육(소)1000010:0022:00NN
25송이대구뽈찜이주연경상남도 합천군 합천읍 충효로 81-9055-931-5488한식생아구탕700011:0021:00NN
26황대감약도라지백숙강종민경상남도 합천군 가회면 서부로 1536055-931-1870한식오리약도라지백숙5000011:0021:00NY
27다라국수강영미경상남도 합천군 합천읍 옥산로 67 평화빌딩055-931-7245한식국수400010:0021:00NY
28대가한우최현란경상남도 합천군 삼가면 삼가1로 115-1055-932-1106한식삼겹살(200g)800010:0019:00NY
29목화세탁소이봉재경상남도 합천군 초계면 중앙로 35-2055-932-1804세탁업수선료300009:0020:00NN
30둥지막창삼겹살전문점안희성경상남도 합천군 합천읍 대야로 813055-931-9312한식삼겹살800011:0023:00NY