Overview

Dataset statistics

Number of variables10
Number of observations155
Missing cells15
Missing cells (%)1.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.5 KiB
Average record size in memory82.9 B

Variable types

Numeric2
Categorical4
Text4

Dataset

Description남양주시 모범음식점 정보 데이터로 업테(뷔페식,양식,한식 등), 주메뉴, 업소명, 주소, 전화번호 등의 항목을 제공합니다.
Author경기도 남양주시
URLhttps://www.data.go.kr/data/3045042/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지전화번호 has 14 (9.0%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:11:08.694030
Analysis finished2023-12-12 12:11:10.371113
Duration1.68 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct155
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78
Minimum1
Maximum155
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-12T21:11:10.469366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.7
Q139.5
median78
Q3116.5
95-th percentile147.3
Maximum155
Range154
Interquartile range (IQR)77

Descriptive statistics

Standard deviation44.888751
Coefficient of variation (CV)0.57549681
Kurtosis-1.2
Mean78
Median Absolute Deviation (MAD)39
Skewness0
Sum12090
Variance2015
MonotonicityStrictly increasing
2023-12-12T21:11:10.684548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
108 1
 
0.6%
101 1
 
0.6%
102 1
 
0.6%
103 1
 
0.6%
104 1
 
0.6%
105 1
 
0.6%
106 1
 
0.6%
107 1
 
0.6%
109 1
 
0.6%
Other values (145) 145
93.5%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
155 1
0.6%
154 1
0.6%
153 1
0.6%
152 1
0.6%
151 1
0.6%
150 1
0.6%
149 1
0.6%
148 1
0.6%
147 1
0.6%
146 1
0.6%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
경기도
155 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 155
100.0%

Length

2023-12-12T21:11:10.887452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:11:11.035657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 155
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
남양주시
155 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남양주시 155
100.0%

Length

2023-12-12T21:11:11.175804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:11:11.290370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남양주시 155
100.0%

업태명
Categorical

Distinct11
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
한식
97 
식육(숯불구이)
22 
경양식
 
8
기타
 
8
탕류(보신용)
 
6
Other values (6)
14 

Length

Max length8
Median length2
Mean length3.1419355
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row한식
2nd row식육(숯불구이)
3rd row한식
4th row식육(숯불구이)
5th row한식

Common Values

ValueCountFrequency (%)
한식 97
62.6%
식육(숯불구이) 22
 
14.2%
경양식 8
 
5.2%
기타 8
 
5.2%
탕류(보신용) 6
 
3.9%
중국식 5
 
3.2%
분식 2
 
1.3%
횟집 2
 
1.3%
일식 2
 
1.3%
뷔페식 2
 
1.3%

Length

2023-12-12T21:11:11.427450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 97
62.6%
식육(숯불구이 22
 
14.2%
경양식 8
 
5.2%
기타 8
 
5.2%
탕류(보신용 6
 
3.9%
중국식 5
 
3.2%
분식 2
 
1.3%
횟집 2
 
1.3%
일식 2
 
1.3%
뷔페식 2
 
1.3%

주된음식
Text

Distinct107
Distinct (%)69.5%
Missing1
Missing (%)0.6%
Memory size1.3 KiB
2023-12-12T21:11:11.742316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length4.7857143
Min length1

Characters and Unicode

Total characters737
Distinct characters163
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

Unique84 ?
Unique (%)54.5%

Sample

1st row구이류 한정식
2nd row소고기 구이류
3rd row국밥 등심모듬
4th row장어구이
5th row안심스테이크 스파게티
ValueCountFrequency (%)
구이류 10
 
5.0%
돼지갈비 8
 
4.0%
한정식 8
 
4.0%
삼계탕 6
 
3.0%
갈비탕 5
 
2.5%
족발 5
 
2.5%
장어구이 5
 
2.5%
뷔페 3
 
1.5%
생선구이 3
 
1.5%
능이버섯백숙 3
 
1.5%
Other values (111) 143
71.9%
2023-12-12T21:11:12.266397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45
 
6.1%
이 33
 
4.5%
비 27
 
3.7%
구 26
 
3.5%
탕 26
 
3.5%
갈 23
 
3.1%
리 16
 
2.2%
장 15
 
2.0%
국 15
 
2.0%
한 15
 
2.0%
Other values (153) 496
67.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 692
93.9%
Space Separator 45
 
6.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 33
 
4.8%
비 27
 
3.9%
구 26
 
3.8%
탕 26
 
3.8%
갈 23
 
3.3%
리 16
 
2.3%
장 15
 
2.2%
국 15
 
2.2%
한 15
 
2.2%
식 14
 
2.0%
Other values (152) 482
69.7%
Space Separator
ValueCountFrequency (%)
45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 692
93.9%
Common 45
 
6.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 33
 
4.8%
비 27
 
3.9%
구 26
 
3.8%
탕 26
 
3.8%
갈 23
 
3.3%
리 16
 
2.3%
장 15
 
2.2%
국 15
 
2.2%
한 15
 
2.2%
식 14
 
2.0%
Other values (152) 482
69.7%
Common
ValueCountFrequency (%)
45
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 692
93.9%
ASCII 45
 
6.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
45
100.0%
Hangul
ValueCountFrequency (%)
이 33
 
4.8%
비 27
 
3.9%
구 26
 
3.8%
탕 26
 
3.8%
갈 23
 
3.3%
리 16
 
2.3%
장 15
 
2.2%
국 15
 
2.2%
한 15
 
2.2%
식 14
 
2.0%
Other values (152) 482
69.7%

업소명
Text

Distinct154
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T21:11:12.573904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length12
Mean length6.5677419
Min length2

Characters and Unicode

Total characters1018
Distinct characters291
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique153 ?
Unique (%)98.7%

Sample

1st row(주)더늘봄
2nd row(주)삼봉푸줏간
3rd row(주)우렁찬한우명품
4th row(주)천마산강장어
5th row(주)푸드팩토리
ValueCountFrequency (%)
돈까스클럽 2
 
1.1%
덕소점 2
 
1.1%
굴뚝능이버섯백숙 2
 
1.1%
별내점 2
 
1.1%
외할머니집 1
 
0.6%
일심본가콩요리 1
 
0.6%
오월뷔페 1
 
0.6%
오형제손짜장 1
 
0.6%
다산신도시점 1
 
0.6%
옹기종기 1
 
0.6%
Other values (164) 164
92.1%
2023-12-12T21:11:13.062179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 25
 
2.5%
23
 
2.3%
가 20
 
2.0%
비 19
 
1.9%
( 19
 
1.9%
) 19
 
1.9%
이 18
 
1.8%
리 17
 
1.7%
갈 16
 
1.6%
마 14
 
1.4%
Other values (281) 828
81.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 937
92.0%
Space Separator 23
 
2.3%
Open Punctuation 19
 
1.9%
Close Punctuation 19
 
1.9%
Decimal Number 10
 
1.0%
Lowercase Letter 4
 
0.4%
Uppercase Letter 4
 
0.4%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 25
 
2.7%
가 20
 
2.1%
비 19
 
2.0%
이 18
 
1.9%
리 17
 
1.8%
갈 16
 
1.7%
마 14
 
1.5%
탕 13
 
1.4%
수 12
 
1.3%
한 12
 
1.3%
Other values (267) 771
82.3%
Decimal Number
ValueCountFrequency (%)
3 3
30.0%
0 3
30.0%
6 3
30.0%
8 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
T 2
50.0%
N 1
25.0%
K 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
50.0%
h 2
50.0%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 937
92.0%
Common 73
 
7.2%
Latin 8
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 25
 
2.7%
가 20
 
2.1%
비 19
 
2.0%
이 18
 
1.9%
리 17
 
1.8%
갈 16
 
1.7%
마 14
 
1.5%
탕 13
 
1.4%
수 12
 
1.3%
한 12
 
1.3%
Other values (267) 771
82.3%
Common
ValueCountFrequency (%)
23
31.5%
( 19
26.0%
) 19
26.0%
3 3
 
4.1%
0 3
 
4.1%
6 3
 
4.1%
8 1
 
1.4%
, 1
 
1.4%
. 1
 
1.4%
Latin
ValueCountFrequency (%)
e 2
25.0%
T 2
25.0%
h 2
25.0%
N 1
12.5%
K 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 937
92.0%
ASCII 81
 
8.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 25
 
2.7%
가 20
 
2.1%
비 19
 
2.0%
이 18
 
1.9%
리 17
 
1.8%
갈 16
 
1.7%
마 14
 
1.5%
탕 13
 
1.4%
수 12
 
1.3%
한 12
 
1.3%
Other values (267) 771
82.3%
ASCII
ValueCountFrequency (%)
23
28.4%
( 19
23.5%
) 19
23.5%
3 3
 
3.7%
0 3
 
3.7%
6 3
 
3.7%
e 2
 
2.5%
T 2
 
2.5%
h 2
 
2.5%
N 1
 
1.2%
Other values (4) 4
 
4.9%

소재지(도로명)
Text

Distinct154
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T21:11:13.409716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length35
Mean length25.535484
Min length18

Characters and Unicode

Total characters3958
Distinct characters146
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

Unique153 ?
Unique (%)98.7%

Sample

1st row경기도 남양주시 진접읍 금강로 1845 늘봄가든
2nd row경기도 남양주시 조안면 북한강로855번길 6-8
3rd row경기도 남양주시 고산로 180-1 (삼패동)
4th row경기도 남양주시 화도읍 경춘로 1779
5th row경기도 남양주시 와부읍 경강로 896-2
ValueCountFrequency (%)
경기도 155
 
17.8%
남양주시 155
 
17.8%
1층 33
 
3.8%
화도읍 29
 
3.3%
와부읍 24
 
2.8%
진접읍 22
 
2.5%
2층 12
 
1.4%
오남읍 12
 
1.4%
호평동 12
 
1.4%
별내동 11
 
1.3%
Other values (269) 404
46.5%
2023-12-12T21:11:13.875092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
715
18.1%
1 204
 
5.2%
도 185
 
4.7%
남 180
 
4.5%
경 175
 
4.4%
양 160
 
4.0%
주 156
 
3.9%
기 155
 
3.9%
시 155
 
3.9%
로 154
 
3.9%
Other values (136) 1719
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2350
59.4%
Decimal Number 717
 
18.1%
Space Separator 715
 
18.1%
Close Punctuation 63
 
1.6%
Open Punctuation 63
 
1.6%
Dash Punctuation 46
 
1.2%
Other Punctuation 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 185
 
7.9%
남 180
 
7.7%
경 175
 
7.4%
양 160
 
6.8%
주 156
 
6.6%
기 155
 
6.6%
시 155
 
6.6%
로 154
 
6.6%
읍 91
 
3.9%
동 66
 
2.8%
Other values (120) 873
37.1%
Decimal Number
ValueCountFrequency (%)
1 204
28.5%
2 99
13.8%
6 66
 
9.2%
3 61
 
8.5%
5 59
 
8.2%
8 47
 
6.6%
0 47
 
6.6%
4 46
 
6.4%
7 46
 
6.4%
9 42
 
5.9%
Space Separator
ValueCountFrequency (%)
715
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2350
59.4%
Common 1608
40.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 185
 
7.9%
남 180
 
7.7%
경 175
 
7.4%
양 160
 
6.8%
주 156
 
6.6%
기 155
 
6.6%
시 155
 
6.6%
로 154
 
6.6%
읍 91
 
3.9%
동 66
 
2.8%
Other values (120) 873
37.1%
Common
ValueCountFrequency (%)
715
44.5%
1 204
 
12.7%
2 99
 
6.2%
6 66
 
4.1%
) 63
 
3.9%
( 63
 
3.9%
3 61
 
3.8%
5 59
 
3.7%
8 47
 
2.9%
0 47
 
2.9%
Other values (6) 184
 
11.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2350
59.4%
ASCII 1608
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
715
44.5%
1 204
 
12.7%
2 99
 
6.2%
6 66
 
4.1%
) 63
 
3.9%
( 63
 
3.9%
3 61
 
3.8%
5 59
 
3.7%
8 47
 
2.9%
0 47
 
2.9%
Other values (6) 184
 
11.4%
Hangul
ValueCountFrequency (%)
도 185
 
7.9%
남 180
 
7.7%
경 175
 
7.4%
양 160
 
6.8%
주 156
 
6.6%
기 155
 
6.6%
시 155
 
6.6%
로 154
 
6.6%
읍 91
 
3.9%
동 66
 
2.8%
Other values (120) 873
37.1%

소재지전화번호
Text

MISSING 

Distinct141
Distinct (%)100.0%
Missing14
Missing (%)9.0%
Memory size1.3 KiB
2023-12-12T21:11:14.185830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1692
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

Unique141 ?
Unique (%)100.0%

Sample

1st row031-572-4447
2nd row031-577-8833
3rd row031-576-0130
4th row031-521-9292
5th row031-566-7777
ValueCountFrequency (%)
031-593-5311 1
 
0.7%
031-511-6499 1
 
0.7%
031-511-6668 1
 
0.7%
031-567-8700 1
 
0.7%
031-576-5588 1
 
0.7%
031-593-4942 1
 
0.7%
031-521-2080 1
 
0.7%
031-571-7470 1
 
0.7%
031-576-3733 1
 
0.7%
031-528-9250 1
 
0.7%
Other values (131) 131
92.9%
2023-12-12T21:11:14.641828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 282
16.7%
3 224
13.2%
1 223
13.2%
5 223
13.2%
0 204
12.1%
7 126
7.4%
9 107
 
6.3%
8 92
 
5.4%
2 88
 
5.2%
6 62
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1410
83.3%
Dash Punctuation 282
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 224
15.9%
1 223
15.8%
5 223
15.8%
0 204
14.5%
7 126
8.9%
9 107
7.6%
8 92
6.5%
2 88
 
6.2%
6 62
 
4.4%
4 61
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 282
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1692
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 282
16.7%
3 224
13.2%
1 223
13.2%
5 223
13.2%
0 204
12.1%
7 126
7.4%
9 107
 
6.3%
8 92
 
5.4%
2 88
 
5.2%
6 62
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1692
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 282
16.7%
3 224
13.2%
1 223
13.2%
5 223
13.2%
0 204
12.1%
7 126
7.4%
9 107
 
6.3%
8 92
 
5.4%
2 88
 
5.2%
6 62
 
3.7%

면적
Real number (ℝ)

Distinct147
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean238.09387
Minimum56.1
Maximum1497.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-12T21:11:14.866806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56.1
5-th percentile90.55
Q1141.44
median195.21
Q3269.695
95-th percentile543.741
Maximum1497.9
Range1441.8
Interquartile range (IQR)128.255

Descriptive statistics

Standard deviation174.67631
Coefficient of variation (CV)0.7336447
Kurtosis18.900596
Mean238.09387
Median Absolute Deviation (MAD)58.71
Skewness3.5063087
Sum36904.55
Variance30511.812
MonotonicityNot monotonic
2023-12-12T21:11:15.045525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198.0 4
 
2.6%
196.0 2
 
1.3%
229.5 2
 
1.3%
165.0 2
 
1.3%
148.5 2
 
1.3%
197.0 2
 
1.3%
1497.9 1
 
0.6%
111.19 1
 
0.6%
191.65 1
 
0.6%
177.25 1
 
0.6%
Other values (137) 137
88.4%
ValueCountFrequency (%)
56.1 1
0.6%
71.2 1
0.6%
79.0 1
0.6%
80.0 1
0.6%
80.39 1
0.6%
82.5 1
0.6%
84.64 1
0.6%
86.0 1
0.6%
92.5 1
0.6%
93.9 1
0.6%
ValueCountFrequency (%)
1497.9 1
0.6%
974.0 1
0.6%
720.24 1
0.6%
709.59 1
0.6%
648.7 1
0.6%
577.02 1
0.6%
556.43 1
0.6%
548.27 1
0.6%
541.8 1
0.6%
520.8 1
0.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2022-01-01
155 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-01-01
2nd row2022-01-01
3rd row2022-01-01
4th row2022-01-01
5th row2022-01-01

Common Values

ValueCountFrequency (%)
2022-01-01 155
100.0%

Length

2023-12-12T21:11:15.220684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:11:15.360185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-01-01 155
100.0%

Interactions

2023-12-12T21:11:09.402398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:11:09.175786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:11:09.507446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:11:09.294069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:11:15.456939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업태명면적
연번1.0000.0000.183
업태명0.0001.0000.438
면적0.1830.4381.000
2023-12-12T21:11:15.583408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면적업태명
연번1.0000.0280.000
면적0.0281.0000.230
업태명0.0000.2301.000

Missing values

2023-12-12T21:11:09.663425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:11:09.852364image/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.
2023-12-12T21:11:10.307372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번시도명시군구명업태명주된음식업소명소재지(도로명)소재지전화번호면적데이터기준일자
01경기도남양주시한식구이류 한정식(주)더늘봄경기도 남양주시 진접읍 금강로 1845 늘봄가든031-572-44471497.92022-01-01
12경기도남양주시식육(숯불구이)소고기 구이류(주)삼봉푸줏간경기도 남양주시 조안면 북한강로855번길 6-8<NA>709.592022-01-01
23경기도남양주시한식국밥 등심모듬(주)우렁찬한우명품경기도 남양주시 고산로 180-1 (삼패동)031-577-8833191.732022-01-01
34경기도남양주시식육(숯불구이)장어구이(주)천마산강장어경기도 남양주시 화도읍 경춘로 1779<NA>350.612022-01-01
45경기도남양주시한식안심스테이크 스파게티(주)푸드팩토리경기도 남양주시 와부읍 경강로 896-2031-576-0130371.262022-01-01
56경기도남양주시한식구이류30년전통옥수돼지숯불갈비경기도 남양주시 와부읍 수레로1번길 7031-521-9292126.02022-01-01
67경기도남양주시경양식양식가든갤러리경기도 남양주시 강변북로632번길 57-28 (수석동)031-566-7777198.62022-01-01
78경기도남양주시한식설렁탕감미옥설렁탕경기도 남양주시 오남읍 경복대로 56 주건축물제2동 1층<NA>160.02022-01-01
89경기도남양주시한식돈까스갓지은 솥밥(진접)경기도 남양주시 진접읍 해밀예당1로 8-12031-528-2714328.462022-01-01
910경기도남양주시분식칼국수강가네칼국수경기도 남양주시 화도읍 수레로 1171-5031-593-5311198.02022-01-01
연번시도명시군구명업태명주된음식업소명소재지(도로명)소재지전화번호면적데이터기준일자
145146경기도남양주시식육(숯불구이)갈비평창갈비(호평점)경기도 남양주시 늘을1로16번길 15 (호평동 (1.2.3층))031-594-9944520.82022-01-01
146147경기도남양주시식육(숯불구이)구이류한다리 이향갈비경기도 남양주시 진접읍 양진로1020번길 34 1층031-571-4455290.02022-01-01
147148경기도남양주시한식숯불갈비한마당숯불갈비경기도 남양주시 진건읍 사릉로446번길 27-1031-573-8693203.82022-01-01
148149경기도남양주시한식갈비찜함경면옥 별내점경기도 남양주시 두물로11번길 40-40 1층 일부(102~107호) (별내동)031-574-1999235.712022-01-01
149150경기도남양주시한식해물찜해물이네(화도점)경기도 남양주시 화도읍 경춘로 1896-8031-595-5167245.192022-01-01
150151경기도남양주시한식삼계탕해천삼계탕경기도 남양주시 진접읍 장현로 167 (2층)031-528-8979231.12022-01-01
151152경기도남양주시한식생선조림햇반경기도 남양주시 화도읍 북한강로 1373031-594-7403139.32022-01-01
152153경기도남양주시한식햇살촌밥상햇살촌경기도 남양주시 수동면 비룡로850번길 2 1층031-593-3314248.42022-01-01
153154경기도남양주시기타회행복한바다경기도 남양주시 화도읍 비룡로141번길 6031-511-9966198.02022-01-01
154155경기도남양주시한식설렁탕홍익돈까스(진접점)경기도 남양주시 진접읍 금강로 1609 (외4필지)031-575-2482453.02022-01-01