Overview

Dataset statistics

Number of variables9
Number of observations25
Missing cells10
Missing cells (%)4.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory81.3 B

Variable types

Numeric3
Text4
Categorical2

Dataset

Description예천군 모범음식점으로 선정된 업체 정보(상호명, 주소, 전화번호, 주메뉴, 수용인원, 주차가능 대수, 차량현황, 모범음식점 지정일)입니다.
Author경상북도 예천군
URLhttps://www.data.go.kr/data/3047940/fileData.do

Alerts

데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 수용인원High correlation
수용인원 is highly overall correlated with 연번High correlation
주차가능 대수 has 10 (40.0%) missing valuesMissing
연번 has unique valuesUnique
상호명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:47:50.322568
Analysis finished2023-12-12 04:47:51.977892
Duration1.66 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-12T13:47:52.049185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q17
median13
Q319
95-th percentile23.8
Maximum25
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.3598007
Coefficient of variation (CV)0.56613852
Kurtosis-1.2
Mean13
Median Absolute Deviation (MAD)6
Skewness0
Sum325
Variance54.166667
MonotonicityStrictly increasing
2023-12-12T13:47:52.189772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
25 1
 
4.0%
24 1
 
4.0%
23 1
 
4.0%
22 1
 
4.0%
21 1
 
4.0%
20 1
 
4.0%
19 1
 
4.0%
18 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
1 1
4.0%
2 1
4.0%
3 1
4.0%
4 1
4.0%
5 1
4.0%
6 1
4.0%
7 1
4.0%
8 1
4.0%
9 1
4.0%
10 1
4.0%
ValueCountFrequency (%)
25 1
4.0%
24 1
4.0%
23 1
4.0%
22 1
4.0%
21 1
4.0%
20 1
4.0%
19 1
4.0%
18 1
4.0%
17 1
4.0%
16 1
4.0%

상호명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T13:47:52.413153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length5.08
Min length2

Characters and Unicode

Total characters127
Distinct characters82
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

Unique25 ?
Unique (%)100.0%

Sample

1st row참우촌식당
2nd row가자한우물회
3rd row황소네집
4th row산호식당
5th row청기와
ValueCountFrequency (%)
참우촌식당 1
 
3.8%
가자한우물회 1
 
3.8%
부림해물손수제비칼국수 1
 
3.8%
마실 1
 
3.8%
경북도청점 1
 
3.8%
화요옥 1
 
3.8%
새대구숯불구이 1
 
3.8%
에밀테라스 1
 
3.8%
숲속이야기 1
 
3.8%
한국관복어집 1
 
3.8%
Other values (16) 16
61.5%
2023-12-12T13:47:52.947200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 4
 
3.1%
당 4
 
3.1%
한 4
 
3.1%
집 4
 
3.1%
불 3
 
2.4%
수 3
 
2.4%
숯 3
 
2.4%
우 3
 
2.4%
대 3
 
2.4%
기 3
 
2.4%
Other values (72) 93
73.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 126
99.2%
Space Separator 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 4
 
3.2%
당 4
 
3.2%
한 4
 
3.2%
집 4
 
3.2%
불 3
 
2.4%
수 3
 
2.4%
숯 3
 
2.4%
우 3
 
2.4%
대 3
 
2.4%
기 3
 
2.4%
Other values (71) 92
73.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 126
99.2%
Common 1
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 4
 
3.2%
당 4
 
3.2%
한 4
 
3.2%
집 4
 
3.2%
불 3
 
2.4%
수 3
 
2.4%
숯 3
 
2.4%
우 3
 
2.4%
대 3
 
2.4%
기 3
 
2.4%
Other values (71) 92
73.0%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 126
99.2%
ASCII 1
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 4
 
3.2%
당 4
 
3.2%
한 4
 
3.2%
집 4
 
3.2%
불 3
 
2.4%
수 3
 
2.4%
숯 3
 
2.4%
우 3
 
2.4%
대 3
 
2.4%
기 3
 
2.4%
Other values (71) 92
73.0%
ASCII
ValueCountFrequency (%)
1
100.0%

주소
Text

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T13:47:53.197605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length20.64
Min length18

Characters and Unicode

Total characters516
Distinct characters49
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

Unique23 ?
Unique (%)92.0%

Sample

1st row경상북도 예천군 예천읍 시장로 152
2nd row경상북도 예천군 예천읍 충효로 390-3
3rd row경상북도 예천군 예천읍 맛고을길 55, 1층
4th row경상북도 예천군 예천읍 맛고을길 32
5th row경상북도 예천군 예천읍 군청길 44
ValueCountFrequency (%)
경상북도 25
19.8%
예천군 25
19.8%
예천읍 20
15.9%
맛고을길 6
 
4.8%
시장로 4
 
3.2%
군청길 3
 
2.4%
충효로 3
 
2.4%
112-1 2
 
1.6%
용궁로 2
 
1.6%
용궁면 2
 
1.6%
Other values (34) 34
27.0%
2023-12-12T13:47:53.610626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
101
19.6%
천 46
 
8.9%
예 45
 
8.7%
군 28
 
5.4%
상 26
 
5.0%
경 25
 
4.8%
북 25
 
4.8%
도 25
 
4.8%
1 21
 
4.1%
읍 20
 
3.9%
Other values (39) 154
29.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 333
64.5%
Space Separator 101
 
19.6%
Decimal Number 73
 
14.1%
Dash Punctuation 8
 
1.6%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 46
13.8%
예 45
13.5%
군 28
8.4%
상 26
 
7.8%
경 25
 
7.5%
북 25
 
7.5%
도 25
 
7.5%
읍 20
 
6.0%
길 13
 
3.9%
로 12
 
3.6%
Other values (26) 68
20.4%
Decimal Number
ValueCountFrequency (%)
1 21
28.8%
4 13
17.8%
5 10
13.7%
2 8
 
11.0%
3 7
 
9.6%
7 6
 
8.2%
0 3
 
4.1%
6 2
 
2.7%
8 2
 
2.7%
9 1
 
1.4%
Space Separator
ValueCountFrequency (%)
101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 333
64.5%
Common 183
35.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 46
13.8%
예 45
13.5%
군 28
8.4%
상 26
 
7.8%
경 25
 
7.5%
북 25
 
7.5%
도 25
 
7.5%
읍 20
 
6.0%
길 13
 
3.9%
로 12
 
3.6%
Other values (26) 68
20.4%
Common
ValueCountFrequency (%)
101
55.2%
1 21
 
11.5%
4 13
 
7.1%
5 10
 
5.5%
- 8
 
4.4%
2 8
 
4.4%
3 7
 
3.8%
7 6
 
3.3%
0 3
 
1.6%
6 2
 
1.1%
Other values (3) 4
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 333
64.5%
ASCII 183
35.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
101
55.2%
1 21
 
11.5%
4 13
 
7.1%
5 10
 
5.5%
- 8
 
4.4%
2 8
 
4.4%
3 7
 
3.8%
7 6
 
3.3%
0 3
 
1.6%
6 2
 
1.1%
Other values (3) 4
 
2.2%
Hangul
ValueCountFrequency (%)
천 46
13.8%
예 45
13.5%
군 28
8.4%
상 26
 
7.8%
경 25
 
7.5%
북 25
 
7.5%
도 25
 
7.5%
읍 20
 
6.0%
길 13
 
3.9%
로 12
 
3.6%
Other values (26) 68
20.4%

전화번호
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T13:47:53.881258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters300
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

Unique25 ?
Unique (%)100.0%

Sample

1st row054-655-4288
2nd row054-652-9595
3rd row054-655-9293
4th row054-654-2277
5th row054-652-7754
ValueCountFrequency (%)
054-655-4288 1
 
4.0%
054-653-3237 1
 
4.0%
054-652-2277 1
 
4.0%
054-653-6446 1
 
4.0%
054-654-5600 1
 
4.0%
054-654-1547 1
 
4.0%
054-652-3053 1
 
4.0%
054-654-9289 1
 
4.0%
054-654-3369 1
 
4.0%
054-654-4949 1
 
4.0%
Other values (15) 15
60.0%
2023-12-12T13:47:54.379773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 62
20.7%
- 50
16.7%
4 43
14.3%
0 39
13.0%
6 33
11.0%
2 21
 
7.0%
3 18
 
6.0%
7 14
 
4.7%
9 10
 
3.3%
8 7
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 250
83.3%
Dash Punctuation 50
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 62
24.8%
4 43
17.2%
0 39
15.6%
6 33
13.2%
2 21
 
8.4%
3 18
 
7.2%
7 14
 
5.6%
9 10
 
4.0%
8 7
 
2.8%
1 3
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 300
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 62
20.7%
- 50
16.7%
4 43
14.3%
0 39
13.0%
6 33
11.0%
2 21
 
7.0%
3 18
 
6.0%
7 14
 
4.7%
9 10
 
3.3%
8 7
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 62
20.7%
- 50
16.7%
4 43
14.3%
0 39
13.0%
6 33
11.0%
2 21
 
7.0%
3 18
 
6.0%
7 14
 
4.7%
9 10
 
3.3%
8 7
 
2.3%

주메뉴
Text

Distinct21
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T13:47:54.623283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length9.68
Min length4

Characters and Unicode

Total characters242
Distinct characters69
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)68.0%

Sample

1st row한우등심, 한우갈비
2nd row한우물회
3rd row한우등심, 한우갈비
4th row냉면전문점
5th row보쌈,감자탕
ValueCountFrequency (%)
한우등심 4
 
12.5%
복어탕,복불고기 2
 
6.2%
순대,순대국밥,오징어불고기 2
 
6.2%
한우불고기,한우등심 2
 
6.2%
한우갈비 2
 
6.2%
스테이크,파스타 1
 
3.1%
등심돈까스 1
 
3.1%
마늘양념갈매기살,돼지갈비 1
 
3.1%
해물수제비 1
 
3.1%
해물칼국수 1
 
3.1%
Other values (15) 15
46.9%
2023-12-12T13:47:55.078085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 25
 
10.3%
우 16
 
6.6%
한 15
 
6.2%
기 13
 
5.4%
고 11
 
4.5%
불 10
 
4.1%
등 8
 
3.3%
심 8
 
3.3%
비 8
 
3.3%
7
 
2.9%
Other values (59) 121
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 210
86.8%
Other Punctuation 25
 
10.3%
Space Separator 7
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
우 16
 
7.6%
한 15
 
7.1%
기 13
 
6.2%
고 11
 
5.2%
불 10
 
4.8%
등 8
 
3.8%
심 8
 
3.8%
비 8
 
3.8%
갈 7
 
3.3%
어 5
 
2.4%
Other values (57) 109
51.9%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 210
86.8%
Common 32
 
13.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
우 16
 
7.6%
한 15
 
7.1%
기 13
 
6.2%
고 11
 
5.2%
불 10
 
4.8%
등 8
 
3.8%
심 8
 
3.8%
비 8
 
3.8%
갈 7
 
3.3%
어 5
 
2.4%
Other values (57) 109
51.9%
Common
ValueCountFrequency (%)
, 25
78.1%
7
 
21.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 210
86.8%
ASCII 32
 
13.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 25
78.1%
7
 
21.9%
Hangul
ValueCountFrequency (%)
우 16
 
7.6%
한 15
 
7.1%
기 13
 
6.2%
고 11
 
5.2%
불 10
 
4.8%
등 8
 
3.8%
심 8
 
3.8%
비 8
 
3.8%
갈 7
 
3.3%
어 5
 
2.4%
Other values (57) 109
51.9%

수용인원
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.6
Minimum40
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-12T13:47:55.233459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile44.8
Q176
median100
Q3140
95-th percentile150
Maximum300
Range260
Interquartile range (IQR)64

Descriptive statistics

Standard deviation53.640781
Coefficient of variation (CV)0.49852026
Kurtosis5.9760877
Mean107.6
Median Absolute Deviation (MAD)40
Skewness1.8943003
Sum2690
Variance2877.3333
MonotonicityNot monotonic
2023-12-12T13:47:55.369183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
100 8
32.0%
150 5
20.0%
60 2
 
8.0%
140 2
 
8.0%
80 2
 
8.0%
300 1
 
4.0%
76 1
 
4.0%
48 1
 
4.0%
44 1
 
4.0%
72 1
 
4.0%
ValueCountFrequency (%)
40 1
 
4.0%
44 1
 
4.0%
48 1
 
4.0%
60 2
 
8.0%
72 1
 
4.0%
76 1
 
4.0%
80 2
 
8.0%
100 8
32.0%
140 2
 
8.0%
150 5
20.0%
ValueCountFrequency (%)
300 1
 
4.0%
150 5
20.0%
140 2
 
8.0%
100 8
32.0%
80 2
 
8.0%
76 1
 
4.0%
72 1
 
4.0%
60 2
 
8.0%
48 1
 
4.0%
44 1
 
4.0%

주차가능 대수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)40.0%
Missing10
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean13.466667
Minimum2
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-12T13:47:55.476008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4.1
Q17.5
median15
Q320
95-th percentile23
Maximum30
Range28
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation7.7170189
Coefficient of variation (CV)0.57304596
Kurtosis-0.20084246
Mean13.466667
Median Absolute Deviation (MAD)5
Skewness0.39315249
Sum202
Variance59.552381
MonotonicityNot monotonic
2023-12-12T13:47:55.577156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20 4
 
16.0%
5 3
 
12.0%
15 3
 
12.0%
10 3
 
12.0%
30 1
 
4.0%
2 1
 
4.0%
(Missing) 10
40.0%
ValueCountFrequency (%)
2 1
 
4.0%
5 3
12.0%
10 3
12.0%
15 3
12.0%
20 4
16.0%
30 1
 
4.0%
ValueCountFrequency (%)
30 1
 
4.0%
20 4
16.0%
15 3
12.0%
10 3
12.0%
5 3
12.0%
2 1
 
4.0%

차랑현황(인승)
Categorical

Distinct6
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
16 
12
4 
25
2 
13
 
1
15
 
1

Length

Max length4
Median length4
Mean length3.28
Min length2

Unique

Unique3 ?
Unique (%)12.0%

Sample

1st row12
2nd row12
3rd row13
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 16
64.0%
12 4
 
16.0%
25 2
 
8.0%
13 1
 
4.0%
15 1
 
4.0%
35 1
 
4.0%

Length

2023-12-12T13:47:55.714360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:47:55.838719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
64.0%
12 4
 
16.0%
25 2
 
8.0%
13 1
 
4.0%
15 1
 
4.0%
35 1
 
4.0%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-11-17
25 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-17
2nd row2023-11-17
3rd row2023-11-17
4th row2023-11-17
5th row2023-11-17

Common Values

ValueCountFrequency (%)
2023-11-17 25
100.0%

Length

2023-12-12T13:47:55.961582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:47:56.077488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-17 25
100.0%

Interactions

2023-12-12T13:47:51.339637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:47:50.729041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:47:51.008579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:47:51.423262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:47:50.814827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:47:51.114977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:47:51.558733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:47:50.910760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:47:51.220078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:47:56.152139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명주소전화번호주메뉴수용인원주차가능 대수차랑현황(인승)
연번1.0001.0000.9431.0000.9520.5150.7630.000
상호명1.0001.0001.0001.0001.0001.0001.0001.000
주소0.9431.0001.0001.0000.9701.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.000
주메뉴0.9521.0000.9701.0001.0000.0000.8560.714
수용인원0.5151.0001.0001.0000.0001.0000.3200.519
주차가능 대수0.7631.0001.0001.0000.8560.3201.0000.000
차랑현황(인승)0.0001.0001.0001.0000.7140.5190.0001.000
2023-12-12T13:47:56.282751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번수용인원주차가능 대수차랑현황(인승)
연번1.000-0.5300.0870.000
수용인원-0.5301.0000.1540.298
주차가능 대수0.0870.1541.0000.000
차랑현황(인승)0.0000.2980.0001.000

Missing values

2023-12-12T13:47:51.731957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:47:51.904352image/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

연번상호명주소전화번호주메뉴수용인원주차가능 대수차랑현황(인승)데이터기준일
01참우촌식당경상북도 예천군 예천읍 시장로 152054-655-4288한우등심, 한우갈비30020122023-11-17
12가자한우물회경상북도 예천군 예천읍 충효로 390-3054-652-9595한우물회1505122023-11-17
23황소네집경상북도 예천군 예천읍 맛고을길 55, 1층054-655-9293한우등심, 한우갈비1005132023-11-17
34산호식당경상북도 예천군 예천읍 맛고을길 32054-654-2277냉면전문점10015<NA>2023-11-17
45청기와경상북도 예천군 예천읍 군청길 44054-652-7754보쌈,감자탕100<NA><NA>2023-11-17
56백수식당경상북도 예천군 예천읍 충효로 284054-652-7777소고기육회,육회비빔밥10010<NA>2023-11-17
67오르비경상북도 예천군 예천읍 시장로 112-1054-654-3053한우불고기,한우등심60<NA><NA>2023-11-17
78제주복집경상북도 예천군 예천읍 이미기길 71054-652-1005복어탕,복불고기10010122023-11-17
89김서방숯불경상북도 예천군 예천읍 맛고을길 34054-652-0903한우불고기,한우등심15015122023-11-17
910신라식당경상북도 예천군 예천읍 군청길 37054-655-8400쌈밥정식,소불고기전골150<NA><NA>2023-11-17
연번상호명주소전화번호주메뉴수용인원주차가능 대수차랑현황(인승)데이터기준일
1516낙천갈비경상북도 예천군 예천읍 맛고을길 50-3054-654-3432마늘양념갈매기살,돼지갈비100<NA><NA>2023-11-17
1617송담추어탕경상북도 예천군 예천읍 봉덕로 41054-654-4949추어탕전문1502<NA>2023-11-17
1718한국관복어집경상북도 예천군 예천읍 군청길 42-4054-654-3369복어탕,복불고기76<NA><NA>2023-11-17
1819숲속이야기경상북도 예천군 예천읍 대심1길 115054-654-9289쌈제육정식14020252023-11-17
1920에밀테라스경상북도 예천군 예천읍 시장로 112-1054-652-3053스테이크,파스타48<NA><NA>2023-11-17
2021새대구숯불구이경상북도 예천군 예천읍 시장로 61054-654-1547소불고기80<NA><NA>2023-11-17
2122화요옥 경북도청점경상북도 예천군 호명면 양지4길 20-5054-654-5600불고기,만두전골805<NA>2023-11-17
2223마실경상북도 예천군 예천읍 맛고을길 74054-653-6446생선구이, 무우시래기정식44<NA><NA>2023-11-17
2324부림해물손수제비칼국수경상북도 예천군 예천읍 한천길 7054-652-2277해물칼국수, 해물수제비72<NA><NA>2023-11-17
2425카라경상북도 예천군 예천읍 맛고을길 47054-654-2166등심돈까스, 치즈돈까스40<NA><NA>2023-11-17