Overview

Dataset statistics

Number of variables9
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory79.6 B

Variable types

Numeric3
Text4
Categorical1
DateTime1

Dataset

Description경상남도 함양군 관내 모범음식점 지정 정보로 업소명, 업태, 주메뉴, 도로명주소, 위도, 경도 ,전화번호, 데이터기준일자로 구성되어 있습니다.
Author경상남도 함양군
URLhttps://www.data.go.kr/data/3065189/fileData.do

Alerts

데이터기준일 has constant value ""Constant
업태 is highly imbalanced (63.7%)Imbalance
연번 has unique valuesUnique
업소명 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:03:26.080853
Analysis finished2023-12-12 16:03:27.751869
Duration1.67 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15
Minimum1
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-13T01:03:27.817377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.4
Q18
median15
Q322
95-th percentile27.6
Maximum29
Range28
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.5146932
Coefficient of variation (CV)0.56764621
Kurtosis-1.2
Mean15
Median Absolute Deviation (MAD)7
Skewness0
Sum435
Variance72.5
MonotonicityStrictly increasing
2023-12-13T01:03:27.944188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 1
 
3.4%
2 1
 
3.4%
29 1
 
3.4%
28 1
 
3.4%
27 1
 
3.4%
26 1
 
3.4%
25 1
 
3.4%
24 1
 
3.4%
23 1
 
3.4%
22 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
1 1
3.4%
2 1
3.4%
3 1
3.4%
4 1
3.4%
5 1
3.4%
6 1
3.4%
7 1
3.4%
8 1
3.4%
9 1
3.4%
10 1
3.4%
ValueCountFrequency (%)
29 1
3.4%
28 1
3.4%
27 1
3.4%
26 1
3.4%
25 1
3.4%
24 1
3.4%
23 1
3.4%
22 1
3.4%
21 1
3.4%
20 1
3.4%

업소명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-13T01:03:28.254527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length9
Mean length4.8275862
Min length2

Characters and Unicode

Total characters140
Distinct characters98
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

Unique29 ?
Unique (%)100.0%

Sample

1st row1004 화로구이
2nd row갑을식당
3rd row노가면옥
4th row농월초계탕
5th row늘봄가든
ValueCountFrequency (%)
1004 1
 
3.1%
화로구이 1
 
3.1%
햇살마루 1
 
3.1%
해원복국 1
 
3.1%
한울 1
 
3.1%
청해수산 1
 
3.1%
청학산 1
 
3.1%
청정해역 1
 
3.1%
옛날금호식당 1
 
3.1%
예다믄 1
 
3.1%
Other values (22) 22
68.8%
2023-12-13T01:03:28.672027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 4
 
2.9%
이 4
 
2.9%
비 3
 
2.1%
원 3
 
2.1%
가 3
 
2.1%
당 3
 
2.1%
탕 3
 
2.1%
갈 3
 
2.1%
해 3
 
2.1%
구 3
 
2.1%
Other values (88) 108
77.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 132
94.3%
Decimal Number 4
 
2.9%
Space Separator 3
 
2.1%
Other Punctuation 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 4
 
3.0%
이 4
 
3.0%
비 3
 
2.3%
원 3
 
2.3%
가 3
 
2.3%
당 3
 
2.3%
탕 3
 
2.3%
갈 3
 
2.3%
해 3
 
2.3%
구 3
 
2.3%
Other values (83) 100
75.8%
Decimal Number
ValueCountFrequency (%)
0 2
50.0%
1 1
25.0%
4 1
25.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 132
94.3%
Common 8
 
5.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 4
 
3.0%
이 4
 
3.0%
비 3
 
2.3%
원 3
 
2.3%
가 3
 
2.3%
당 3
 
2.3%
탕 3
 
2.3%
갈 3
 
2.3%
해 3
 
2.3%
구 3
 
2.3%
Other values (83) 100
75.8%
Common
ValueCountFrequency (%)
3
37.5%
0 2
25.0%
& 1
 
12.5%
1 1
 
12.5%
4 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 132
94.3%
ASCII 8
 
5.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 4
 
3.0%
이 4
 
3.0%
비 3
 
2.3%
원 3
 
2.3%
가 3
 
2.3%
당 3
 
2.3%
탕 3
 
2.3%
갈 3
 
2.3%
해 3
 
2.3%
구 3
 
2.3%
Other values (83) 100
75.8%
ASCII
ValueCountFrequency (%)
3
37.5%
0 2
25.0%
& 1
 
12.5%
1 1
 
12.5%
4 1
 
12.5%

업태
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
한식
26 
횟집
 
2
중국식
 
1

Length

Max length3
Median length2
Mean length2.0344828
Min length2

Unique

Unique1 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
한식 26
89.7%
횟집 2
 
6.9%
중국식 1
 
3.4%

Length

2023-12-13T01:03:28.911073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:03:29.075473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 26
89.7%
횟집 2
 
6.9%
중국식 1
 
3.4%

주메뉴
Text

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-13T01:03:29.297252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length7.7241379
Min length3

Characters and Unicode

Total characters224
Distinct characters74
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

Unique27 ?
Unique (%)93.1%

Sample

1st row한우숯불갈비
2nd row곱창전골, 불고기백반
3rd row돼지갈비, 냉면
4th row초계막국수, 궁중한방오리
5th row오곡정식
ValueCountFrequency (%)
바다회 3
 
6.7%
갈비탕 2
 
4.4%
샤브샤브 2
 
4.4%
대구찜,대구구이 1
 
2.2%
훈제스페셜정식 1
 
2.2%
불고기백반 1
 
2.2%
메기메운탕 1
 
2.2%
메기찜 1
 
2.2%
중화요리 1
 
2.2%
갈비찜 1
 
2.2%
Other values (31) 31
68.9%
2023-12-13T01:03:29.759012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 20
 
8.9%
16
 
7.1%
탕 11
 
4.9%
갈 10
 
4.5%
비 10
 
4.5%
구 9
 
4.0%
찜 7
 
3.1%
기 6
 
2.7%
전 5
 
2.2%
샤 4
 
1.8%
Other values (64) 126
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 186
83.0%
Other Punctuation 22
 
9.8%
Space Separator 16
 
7.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
탕 11
 
5.9%
갈 10
 
5.4%
비 10
 
5.4%
구 9
 
4.8%
찜 7
 
3.8%
기 6
 
3.2%
전 5
 
2.7%
샤 4
 
2.2%
리 4
 
2.2%
이 4
 
2.2%
Other values (61) 116
62.4%
Other Punctuation
ValueCountFrequency (%)
, 20
90.9%
. 2
 
9.1%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 186
83.0%
Common 38
 
17.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
탕 11
 
5.9%
갈 10
 
5.4%
비 10
 
5.4%
구 9
 
4.8%
찜 7
 
3.8%
기 6
 
3.2%
전 5
 
2.7%
샤 4
 
2.2%
리 4
 
2.2%
이 4
 
2.2%
Other values (61) 116
62.4%
Common
ValueCountFrequency (%)
, 20
52.6%
16
42.1%
. 2
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 186
83.0%
ASCII 38
 
17.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 20
52.6%
16
42.1%
. 2
 
5.3%
Hangul
ValueCountFrequency (%)
탕 11
 
5.9%
갈 10
 
5.4%
비 10
 
5.4%
구 9
 
4.8%
찜 7
 
3.8%
기 6
 
3.2%
전 5
 
2.7%
샤 4
 
2.2%
리 4
 
2.2%
이 4
 
2.2%
Other values (61) 116
62.4%

주소
Text

Distinct27
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-13T01:03:29.997094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length20.724138
Min length18

Characters and Unicode

Total characters601
Distinct characters60
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

Unique25 ?
Unique (%)86.2%

Sample

1st row경상남도 함양군 함양읍 용평길11-11
2nd row경상남도 함양군 함양읍 함양로 1106
3rd row경상남도 함양군 함양읍 용평길 31-3
4th row경상남도 함양군 함양읍 용평중앙길 11-2
5th row경상남도 함양군 안의면 육십령로 3102
ValueCountFrequency (%)
경상남도 29
20.3%
함양군 29
20.3%
함양읍 20
14.0%
안의면 5
 
3.5%
함양로 5
 
3.5%
6 4
 
2.8%
광풍로 3
 
2.1%
용평길 2
 
1.4%
서상면 2
 
1.4%
용평1길 2
 
1.4%
Other values (38) 42
29.4%
2023-12-13T01:03:30.408956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
19.0%
함 56
 
9.3%
양 55
 
9.2%
상 32
 
5.3%
남 30
 
5.0%
경 29
 
4.8%
도 29
 
4.8%
군 29
 
4.8%
1 27
 
4.5%
읍 20
 
3.3%
Other values (50) 180
30.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 394
65.6%
Space Separator 114
 
19.0%
Decimal Number 84
 
14.0%
Dash Punctuation 9
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
함 56
14.2%
양 55
14.0%
상 32
 
8.1%
남 30
 
7.6%
경 29
 
7.4%
도 29
 
7.4%
군 29
 
7.4%
읍 20
 
5.1%
길 17
 
4.3%
로 12
 
3.0%
Other values (38) 85
21.6%
Decimal Number
ValueCountFrequency (%)
1 27
32.1%
2 12
14.3%
6 10
 
11.9%
3 8
 
9.5%
7 7
 
8.3%
4 5
 
6.0%
0 5
 
6.0%
5 4
 
4.8%
8 3
 
3.6%
9 3
 
3.6%
Space Separator
ValueCountFrequency (%)
114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 394
65.6%
Common 207
34.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
함 56
14.2%
양 55
14.0%
상 32
 
8.1%
남 30
 
7.6%
경 29
 
7.4%
도 29
 
7.4%
군 29
 
7.4%
읍 20
 
5.1%
길 17
 
4.3%
로 12
 
3.0%
Other values (38) 85
21.6%
Common
ValueCountFrequency (%)
114
55.1%
1 27
 
13.0%
2 12
 
5.8%
6 10
 
4.8%
- 9
 
4.3%
3 8
 
3.9%
7 7
 
3.4%
4 5
 
2.4%
0 5
 
2.4%
5 4
 
1.9%
Other values (2) 6
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 394
65.6%
ASCII 207
34.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
55.1%
1 27
 
13.0%
2 12
 
5.8%
6 10
 
4.8%
- 9
 
4.3%
3 8
 
3.9%
7 7
 
3.4%
4 5
 
2.4%
0 5
 
2.4%
5 4
 
1.9%
Other values (2) 6
 
2.9%
Hangul
ValueCountFrequency (%)
함 56
14.2%
양 55
14.0%
상 32
 
8.1%
남 30
 
7.6%
경 29
 
7.4%
도 29
 
7.4%
군 29
 
7.4%
읍 20
 
5.1%
길 17
 
4.3%
로 12
 
3.0%
Other values (38) 85
21.6%

위도
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.553076
Minimum35.48626
Maximum35.68203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-13T01:03:30.586976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.48626
5-th percentile35.51772
Q135.52005
median35.52317
Q335.58861
95-th percentile35.660312
Maximum35.68203
Range0.19577
Interquartile range (IQR)0.06856

Descriptive statistics

Standard deviation0.054867925
Coefficient of variation (CV)0.001543268
Kurtosis0.2124981
Mean35.553076
Median Absolute Deviation (MAD)0.00512
Skewness1.2528822
Sum1031.0392
Variance0.0030104892
MonotonicityNot monotonic
2023-12-13T01:03:30.728769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
35.51992 1
 
3.4%
35.5175 1
 
3.4%
35.62837 1
 
3.4%
35.52282 1
 
3.4%
35.62675 1
 
3.4%
35.52429 1
 
3.4%
35.48626 1
 
3.4%
35.52108 1
 
3.4%
35.51955 1
 
3.4%
35.62695 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
35.48626 1
3.4%
35.5175 1
3.4%
35.51805 1
3.4%
35.51857 1
3.4%
35.51895 1
3.4%
35.51955 1
3.4%
35.51992 1
3.4%
35.52005 1
3.4%
35.52012 1
3.4%
35.52023 1
3.4%
ValueCountFrequency (%)
35.68203 1
3.4%
35.68042 1
3.4%
35.63015 1
3.4%
35.62837 1
3.4%
35.62695 1
3.4%
35.62675 1
3.4%
35.62245 1
3.4%
35.58861 1
3.4%
35.54405 1
3.4%
35.53189 1
3.4%

경도
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.73547
Minimum127.63893
Maximum127.81187
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-13T01:03:30.857749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.63893
5-th percentile127.6884
Q1127.72245
median127.72812
Q3127.73249
95-th percentile127.81095
Maximum127.81187
Range0.17294
Interquartile range (IQR)0.01004

Descriptive statistics

Standard deviation0.039739916
Coefficient of variation (CV)0.00031111104
Kurtosis0.88879368
Mean127.73547
Median Absolute Deviation (MAD)0.00567
Skewness0.44383353
Sum3704.3288
Variance0.0015792609
MonotonicityNot monotonic
2023-12-13T01:03:31.016962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
127.72812 1
 
3.4%
127.72644 1
 
3.4%
127.81137 1
 
3.4%
127.72015 1
 
3.4%
127.8103 1
 
3.4%
127.72328 1
 
3.4%
127.6951 1
 
3.4%
127.728 1
 
3.4%
127.72861 1
 
3.4%
127.81032 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
127.63893 1
3.4%
127.68831 1
3.4%
127.68854 1
3.4%
127.6951 1
3.4%
127.71979 1
3.4%
127.72015 1
3.4%
127.7203 1
3.4%
127.72245 1
3.4%
127.72328 1
3.4%
127.72396 1
3.4%
ValueCountFrequency (%)
127.81187 1
3.4%
127.81137 1
3.4%
127.81032 1
3.4%
127.8103 1
3.4%
127.78349 1
3.4%
127.78014 1
3.4%
127.73512 1
3.4%
127.73249 1
3.4%
127.7314 1
3.4%
127.73041 1
3.4%

전화번호
Text

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-13T01:03:31.242737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters348
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

Unique27 ?
Unique (%)93.1%

Sample

1st row055-963-3844
2nd row055-962-3540
3rd row055-963-8277
4th row055-963-2154
5th row055-962-4945
ValueCountFrequency (%)
055-964-8041 2
 
6.9%
055-963-3844 1
 
3.4%
055-962-3540 1
 
3.4%
055-964-5238 1
 
3.4%
055-962-1009 1
 
3.4%
055-962-4281 1
 
3.4%
055-962-1707 1
 
3.4%
055-963-8120 1
 
3.4%
055-964-3009 1
 
3.4%
055-964-6262 1
 
3.4%
Other values (18) 18
62.1%
2023-12-13T01:03:31.621029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 68
19.5%
- 58
16.7%
0 44
12.6%
6 43
12.4%
9 35
10.1%
2 24
 
6.9%
3 23
 
6.6%
4 22
 
6.3%
8 14
 
4.0%
1 9
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 290
83.3%
Dash Punctuation 58
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 68
23.4%
0 44
15.2%
6 43
14.8%
9 35
12.1%
2 24
 
8.3%
3 23
 
7.9%
4 22
 
7.6%
8 14
 
4.8%
1 9
 
3.1%
7 8
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 348
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 68
19.5%
- 58
16.7%
0 44
12.6%
6 43
12.4%
9 35
10.1%
2 24
 
6.9%
3 23
 
6.6%
4 22
 
6.3%
8 14
 
4.0%
1 9
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 348
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 68
19.5%
- 58
16.7%
0 44
12.6%
6 43
12.4%
9 35
10.1%
2 24
 
6.9%
3 23
 
6.6%
4 22
 
6.3%
8 14
 
4.0%
1 9
 
2.6%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2021-06-16 00:00:00
Maximum2021-06-16 00:00:00
2023-12-13T01:03:31.744097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:03:31.856733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T01:03:27.180697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:03:26.545756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:03:26.843066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:03:27.273059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:03:26.655195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:03:26.948133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:03:27.382282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:03:26.745296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:03:27.070460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:03:31.958886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명업태주메뉴주소위도경도전화번호
연번1.0001.0000.0000.8840.8610.5170.4740.929
업소명1.0001.0001.0001.0001.0001.0001.0001.000
업태0.0001.0001.0001.0001.0000.3680.4691.000
주메뉴0.8841.0001.0001.0000.9690.9750.8710.990
주소0.8611.0001.0000.9691.0000.9740.9831.000
위도0.5171.0000.3680.9750.9741.0000.9911.000
경도0.4741.0000.4690.8710.9830.9911.0001.000
전화번호0.9291.0001.0000.9901.0001.0001.0001.000
2023-12-13T01:03:32.097655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도업태
연번1.0000.3120.0680.254
위도0.3121.0000.2500.230
경도0.0680.2501.0000.318
업태0.2540.2300.3181.000

Missing values

2023-12-13T01:03:27.532589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:03:27.689994image/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

연번업소명업태주메뉴주소위도경도전화번호데이터기준일
011004 화로구이한식한우숯불갈비경상남도 함양군 함양읍 용평길11-1135.51992127.72812055-963-38442021-06-16
12갑을식당한식곱창전골, 불고기백반경상남도 함양군 함양읍 함양로 110635.5175127.72644055-962-35402021-06-16
23노가면옥한식돼지갈비, 냉면경상남도 함양군 함양읍 용평길 31-335.52023127.73041055-963-82772021-06-16
34농월초계탕한식초계막국수, 궁중한방오리경상남도 함양군 함양읍 용평중앙길 11-235.51895127.72801055-963-21542021-06-16
45늘봄가든한식오곡정식경상남도 함양군 안의면 육십령로 310235.62245127.78349055-962-49452021-06-16
56닭이봉한식닭갈비, 흑미삼계탕경상남도 함양군 함양읍 뇌계길 635.53189127.73512055-964-06222021-06-16
67대가집한식육류구이,갈비경상남도 함양군 서상면 칠형정뒷길 2435.68203127.68854055-962-88852021-06-16
78대웅한식소고기 구이, 버섯전골경상남도 함양군 함양읍 학사루3길 18-135.51857127.72527055-963-73522021-06-16
89도야낙지한식낙지전골, 낙지해물칼국수경상남도 함양군 함양읍 용평1길 8-535.52012127.72872055-963-44502021-06-16
910바우석쇠한식흑삼겹, 갈비경상남도 함양군 함양읍 상림3길 635.52317127.72245055-964-66332021-06-16
연번업소명업태주메뉴주소위도경도전화번호데이터기준일
1920연밭식육식당한식삼겹살경상남도 함양군 함양읍 함양로 125735.52989127.73249055-964-62622021-06-16
2021예다믄한식훈제스페셜정식경상남도 함양군 서상면 칠형정뒷길 635.68042127.68831055-964-30092021-06-16
2122옛날금호식당한식갈비탕,갈비찜경상남도 함양군 안의면 광풍로 10735.62695127.81032055-964-80412021-06-16
2223청정해역횟집바다회, 물메기탕, 대구탕경상남도 함양군 함양읍 용평길 12-435.51955127.72861055-963-81202021-06-16
2324청학산한식한정식경상남도 함양군 함양읍 함양로 114835.52108127.728055-962-17072021-06-16
2425청해수산횟집바다회, 생대구탕경상남도 함양군 함양읍 함양로 619-635.48626127.6951055-962-42812021-06-16
2526한울한식한우전문경상남도 함양군 함양읍 뇌계길 635.52429127.72328055-962-10092021-06-16
2627해원복국한식바다회, 복어요리경상남도 함양군 안의면 광풍로 10735.62675127.8103055-964-80412021-06-16
2728햇살마루한식대구찜,대구구이경상남도 함양군 함양읍 필봉산길 3035.52282127.72015055-964-52382021-06-16
2829화림골한식오리고기경상남도 함양군 안의면 광풍로 127-235.62837127.81137055-962-06662021-06-16