Overview

Dataset statistics

Number of variables12
Number of observations49
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory100.7 B

Variable types

Categorical7
Numeric1
Text4

Dataset

Description경기도 구리시 모범음식점 지정현황 입니다. 구리시 전역에있는 음식점중 모범음식점으로 인증된 모든 음식점에 대한 목록, 지정일, 위치, 상품 등 전반적인 정보를 제공합니다.
Author경기도 구리시
URLhttps://www.data.go.kr/data/15073987/fileData.do

Alerts

구분 has constant value ""Constant
최신재지정일자 has constant value ""Constant
(재)지정년도 has constant value ""Constant
데이터기준일자 has constant value ""Constant
(재)지정번호 is highly overall correlated with 지정일자High correlation
지정일자 is highly overall correlated with (재)지정번호High correlation
업소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique
소재지전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:34:57.533563
Analysis finished2023-12-12 07:34:58.463229
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
재지정
49 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
재지정 49
100.0%

Length

2023-12-12T16:34:58.524551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:34:58.628753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재지정 49
100.0%

지정일자
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)44.9%
Missing0
Missing (%)0.0%
Memory size524.0 B
2016-05-12
9 
2015-04-09
5 
2019-12-13
4 
2005-08-10
4 
2014-06-11
3 
Other values (17)
24 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique11 ?
Unique (%)22.4%

Sample

1st row1999-07-30
2nd row2018-06-04
3rd row2016-05-12
4th row2016-05-12
5th row2007-12-20

Common Values

ValueCountFrequency (%)
2016-05-12 9
18.4%
2015-04-09 5
 
10.2%
2019-12-13 4
 
8.2%
2005-08-10 4
 
8.2%
2014-06-11 3
 
6.1%
2018-06-04 3
 
6.1%
2005-10-12 2
 
4.1%
2009-12-21 2
 
4.1%
2008-09-22 2
 
4.1%
2006-08-29 2
 
4.1%
Other values (12) 13
26.5%

Length

2023-12-12T16:34:58.730086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2016-05-12 9
18.4%
2015-04-09 5
 
10.2%
2019-12-13 4
 
8.2%
2005-08-10 4
 
8.2%
2014-06-11 3
 
6.1%
2018-06-04 3
 
6.1%
2005-10-12 2
 
4.1%
2009-12-21 2
 
4.1%
2008-09-22 2
 
4.1%
2006-08-29 2
 
4.1%
Other values (12) 13
26.5%

최신재지정일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2021-11-09
49 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-11-09
2nd row2021-11-09
3rd row2021-11-09
4th row2021-11-09
5th row2021-11-09

Common Values

ValueCountFrequency (%)
2021-11-09 49
100.0%

Length

2023-12-12T16:34:58.846163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:34:58.967840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-11-09 49
100.0%

(재)지정년도
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2021
49 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 49
100.0%

Length

2023-12-12T16:34:59.088716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:34:59.213349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 49
100.0%

(재)지정번호
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.591837
Minimum1
Maximum78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T16:34:59.340446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q314
95-th percentile75.2
Maximum78
Range77
Interquartile range (IQR)11

Descriptive statistics

Standard deviation21.177738
Coefficient of variation (CV)1.3582581
Kurtosis3.4901118
Mean15.591837
Median Absolute Deviation (MAD)5
Skewness2.0880201
Sum764
Variance448.4966
MonotonicityNot monotonic
2023-12-12T16:34:59.513616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 6
 
12.2%
6 5
 
10.2%
5 4
 
8.2%
3 4
 
8.2%
2 4
 
8.2%
14 3
 
6.1%
8 3
 
6.1%
11 2
 
4.1%
4 2
 
4.1%
41 1
 
2.0%
Other values (15) 15
30.6%
ValueCountFrequency (%)
1 6
12.2%
2 4
8.2%
3 4
8.2%
4 2
 
4.1%
5 4
8.2%
6 5
10.2%
8 3
6.1%
9 1
 
2.0%
10 1
 
2.0%
11 2
 
4.1%
ValueCountFrequency (%)
78 1
2.0%
77 1
2.0%
76 1
2.0%
74 1
2.0%
49 1
2.0%
41 1
2.0%
38 1
2.0%
31 1
2.0%
24 1
2.0%
23 1
2.0%

업소명
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-12T16:34:59.814096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length6.6938776
Min length1

Characters and Unicode

Total characters328
Distinct characters157
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

Unique49 ?
Unique (%)100.0%

Sample

1st row강씨네 아천칡냉면
2nd row강창구찹쌀진순대
3rd row고구려
4th row귀품찬구리직영점
5th row금강농원
ValueCountFrequency (%)
구리점 2
 
2.6%
구리인창점 2
 
2.6%
토평점 2
 
2.6%
구리갈매점 2
 
2.6%
구리교문점 1
 
1.3%
조선화로집 1
 
1.3%
양촌리 1
 
1.3%
엄나무보쌈 1
 
1.3%
오백년 1
 
1.3%
누룽지백숙 1
 
1.3%
Other values (62) 62
81.6%
2023-12-12T16:35:00.301770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27
 
8.2%
점 11
 
3.4%
리 11
 
3.4%
구 11
 
3.4%
탕 8
 
2.4%
갈 7
 
2.1%
어 6
 
1.8%
비 5
 
1.5%
진 4
 
1.2%
촌 4
 
1.2%
Other values (147) 234
71.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 300
91.5%
Space Separator 27
 
8.2%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 11
 
3.7%
리 11
 
3.7%
구 11
 
3.7%
탕 8
 
2.7%
갈 7
 
2.3%
어 6
 
2.0%
비 5
 
1.7%
진 4
 
1.3%
촌 4
 
1.3%
도 4
 
1.3%
Other values (145) 229
76.3%
Space Separator
ValueCountFrequency (%)
27
100.0%
Decimal Number
ValueCountFrequency (%)
5 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 300
91.5%
Common 28
 
8.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 11
 
3.7%
리 11
 
3.7%
구 11
 
3.7%
탕 8
 
2.7%
갈 7
 
2.3%
어 6
 
2.0%
비 5
 
1.7%
진 4
 
1.3%
촌 4
 
1.3%
도 4
 
1.3%
Other values (145) 229
76.3%
Common
ValueCountFrequency (%)
27
96.4%
5 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 300
91.5%
ASCII 28
 
8.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27
96.4%
5 1
 
3.6%
Hangul
ValueCountFrequency (%)
점 11
 
3.7%
리 11
 
3.7%
구 11
 
3.7%
탕 8
 
2.7%
갈 7
 
2.3%
어 6
 
2.0%
비 5
 
1.7%
진 4
 
1.3%
촌 4
 
1.3%
도 4
 
1.3%
Other values (145) 229
76.3%

소재지(도로명)
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-12T16:35:00.590389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length31
Mean length26.877551
Min length20

Characters and Unicode

Total characters1317
Distinct characters78
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

Unique49 ?
Unique (%)100.0%

Sample

1st row경기도 구리시 원수택로 4 (수택동)
2nd row경기도 구리시 검배로 74, 2층 (수택동)
3rd row경기도 구리시 우미내길 6 (아천동, 1층)
4th row경기도 구리시 벌말로 78, 2,3,4층 (토평동)
5th row경기도 구리시 벌말로 67-7 (토평동, 1층)
ValueCountFrequency (%)
경기도 49
18.0%
구리시 49
18.0%
1층 12
 
4.4%
수택동 10
 
3.7%
토평동 9
 
3.3%
벌말로 9
 
3.3%
안골로 6
 
2.2%
교문동 5
 
1.8%
2층 5
 
1.8%
토평동,(1층 5
 
1.8%
Other values (86) 113
41.5%
2023-12-12T16:35:01.033570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
223
 
16.9%
( 62
 
4.7%
) 62
 
4.7%
1 59
 
4.5%
경 54
 
4.1%
동 52
 
3.9%
구 50
 
3.8%
기 49
 
3.7%
, 49
 
3.7%
시 49
 
3.7%
Other values (68) 608
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 704
53.5%
Space Separator 223
 
16.9%
Decimal Number 205
 
15.6%
Open Punctuation 62
 
4.7%
Close Punctuation 62
 
4.7%
Other Punctuation 51
 
3.9%
Dash Punctuation 9
 
0.7%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 54
 
7.7%
동 52
 
7.4%
구 50
 
7.1%
기 49
 
7.0%
시 49
 
7.0%
도 49
 
7.0%
리 49
 
7.0%
로 46
 
6.5%
층 36
 
5.1%
수 18
 
2.6%
Other values (51) 252
35.8%
Decimal Number
ValueCountFrequency (%)
1 59
28.8%
2 30
14.6%
7 23
 
11.2%
3 21
 
10.2%
4 20
 
9.8%
6 15
 
7.3%
5 15
 
7.3%
9 11
 
5.4%
0 6
 
2.9%
8 5
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 49
96.1%
. 2
 
3.9%
Space Separator
ValueCountFrequency (%)
223
100.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 704
53.5%
Common 612
46.5%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 54
 
7.7%
동 52
 
7.4%
구 50
 
7.1%
기 49
 
7.0%
시 49
 
7.0%
도 49
 
7.0%
리 49
 
7.0%
로 46
 
6.5%
층 36
 
5.1%
수 18
 
2.6%
Other values (51) 252
35.8%
Common
ValueCountFrequency (%)
223
36.4%
( 62
 
10.1%
) 62
 
10.1%
1 59
 
9.6%
, 49
 
8.0%
2 30
 
4.9%
7 23
 
3.8%
3 21
 
3.4%
4 20
 
3.3%
6 15
 
2.5%
Other values (6) 48
 
7.8%
Latin
ValueCountFrequency (%)
C 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 704
53.5%
ASCII 613
46.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
223
36.4%
( 62
 
10.1%
) 62
 
10.1%
1 59
 
9.6%
, 49
 
8.0%
2 30
 
4.9%
7 23
 
3.8%
3 21
 
3.4%
4 20
 
3.3%
6 15
 
2.4%
Other values (7) 49
 
8.0%
Hangul
ValueCountFrequency (%)
경 54
 
7.7%
동 52
 
7.4%
구 50
 
7.1%
기 49
 
7.0%
시 49
 
7.0%
도 49
 
7.0%
리 49
 
7.0%
로 46
 
6.5%
층 36
 
5.1%
수 18
 
2.6%
Other values (51) 252
35.8%

소재지전화번호
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-12T16:35:01.363409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.979592
Min length11

Characters and Unicode

Total characters587
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

Unique49 ?
Unique (%)100.0%

Sample

1st row031-557-0999
2nd row031-565-9174
3rd row02-456-9788
4th row031-569-8292
5th row031-566-9244
ValueCountFrequency (%)
031-557-0999 1
 
2.0%
031-564-0148 1
 
2.0%
031-565-7088 1
 
2.0%
031-556-6501 1
 
2.0%
031-566-3655 1
 
2.0%
031-566-5292 1
 
2.0%
02-3436-5575 1
 
2.0%
031-558-0998 1
 
2.0%
031-564-1919 1
 
2.0%
031-555-3316 1
 
2.0%
Other values (39) 39
79.6%
2023-12-12T16:35:01.777428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 103
17.5%
- 98
16.7%
3 77
13.1%
1 77
13.1%
0 73
12.4%
6 45
7.7%
2 29
 
4.9%
7 28
 
4.8%
9 24
 
4.1%
8 20
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 489
83.3%
Dash Punctuation 98
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 103
21.1%
3 77
15.7%
1 77
15.7%
0 73
14.9%
6 45
9.2%
2 29
 
5.9%
7 28
 
5.7%
9 24
 
4.9%
8 20
 
4.1%
4 13
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 587
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 103
17.5%
- 98
16.7%
3 77
13.1%
1 77
13.1%
0 73
12.4%
6 45
7.7%
2 29
 
4.9%
7 28
 
4.8%
9 24
 
4.1%
8 20
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 587
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 103
17.5%
- 98
16.7%
3 77
13.1%
1 77
13.1%
0 73
12.4%
6 45
7.7%
2 29
 
4.9%
7 28
 
4.8%
9 24
 
4.1%
8 20
 
3.4%

업태명
Categorical

Distinct6
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
한식
37 
식육(숯불구이)
5 
일식
 
3
중국식
 
2
냉면집
 
1

Length

Max length8
Median length2
Mean length2.6938776
Min length2

Unique

Unique2 ?
Unique (%)4.1%

Sample

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

Common Values

ValueCountFrequency (%)
한식 37
75.5%
식육(숯불구이) 5
 
10.2%
일식 3
 
6.1%
중국식 2
 
4.1%
냉면집 1
 
2.0%
경양식 1
 
2.0%

Length

2023-12-12T16:35:01.910105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:35:02.041665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 37
75.5%
식육(숯불구이 5
 
10.2%
일식 3
 
6.1%
중국식 2
 
4.1%
냉면집 1
 
2.0%
경양식 1
 
2.0%

주된음식
Text

Distinct46
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-12T16:35:02.256322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length5.2653061
Min length2

Characters and Unicode

Total characters258
Distinct characters99
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

Unique43 ?
Unique (%)87.8%

Sample

1st row칡냉면,만두
2nd row순대국, 해장국
3rd row소등심
4th row소갈비
5th row등심
ValueCountFrequency (%)
등심 4
 
7.0%
추어탕 3
 
5.3%
숯불구이 2
 
3.5%
한정식 2
 
3.5%
순대국 2
 
3.5%
돼지갈비,백반 1
 
1.8%
칡냉면,만두 1
 
1.8%
오리돌구이훈제 1
 
1.8%
추어튀김 1
 
1.8%
삼선자장,자장면 1
 
1.8%
Other values (39) 39
68.4%
2023-12-12T16:35:02.649325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 23
 
8.9%
갈 11
 
4.3%
비 11
 
4.3%
탕 10
 
3.9%
지 9
 
3.5%
9
 
3.5%
등 7
 
2.7%
심 7
 
2.7%
국 7
 
2.7%
돼 6
 
2.3%
Other values (89) 158
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 226
87.6%
Other Punctuation 23
 
8.9%
Space Separator 9
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
갈 11
 
4.9%
비 11
 
4.9%
탕 10
 
4.4%
지 9
 
4.0%
등 7
 
3.1%
심 7
 
3.1%
국 7
 
3.1%
돼 6
 
2.7%
소 6
 
2.7%
리 5
 
2.2%
Other values (87) 147
65.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 226
87.6%
Common 32
 
12.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
갈 11
 
4.9%
비 11
 
4.9%
탕 10
 
4.4%
지 9
 
4.0%
등 7
 
3.1%
심 7
 
3.1%
국 7
 
3.1%
돼 6
 
2.7%
소 6
 
2.7%
리 5
 
2.2%
Other values (87) 147
65.0%
Common
ValueCountFrequency (%)
, 23
71.9%
9
 
28.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 226
87.6%
ASCII 32
 
12.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 23
71.9%
9
 
28.1%
Hangul
ValueCountFrequency (%)
갈 11
 
4.9%
비 11
 
4.9%
탕 10
 
4.4%
지 9
 
4.0%
등 7
 
3.1%
심 7
 
3.1%
국 7
 
3.1%
돼 6
 
2.7%
소 6
 
2.7%
리 5
 
2.2%
Other values (87) 147
65.0%

행정동
Categorical

Distinct7
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size524.0 B
수택3동
15 
교문1동
9 
수택1동
8 
수택2동
6 
동구동
4 
Other values (2)
7 

Length

Max length4
Median length4
Mean length3.7755102
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수택2동
2nd row수택2동
3rd row교문1동
4th row수택3동
5th row수택3동

Common Values

ValueCountFrequency (%)
수택3동 15
30.6%
교문1동 9
18.4%
수택1동 8
16.3%
수택2동 6
 
12.2%
동구동 4
 
8.2%
인창동 4
 
8.2%
갈매동 3
 
6.1%

Length

2023-12-12T16:35:02.793506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:35:02.917728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수택3동 15
30.6%
교문1동 9
18.4%
수택1동 8
16.3%
수택2동 6
 
12.2%
동구동 4
 
8.2%
인창동 4
 
8.2%
갈매동 3
 
6.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2022-05-20
49 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-05-20
2nd row2022-05-20
3rd row2022-05-20
4th row2022-05-20
5th row2022-05-20

Common Values

ValueCountFrequency (%)
2022-05-20 49
100.0%

Length

2023-12-12T16:35:03.110666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:35:03.233972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-05-20 49
100.0%

Interactions

2023-12-12T16:34:57.995252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:35:03.310595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정일자(재)지정번호업소명소재지(도로명)소재지전화번호업태명주된음식행정동
지정일자1.0000.9331.0001.0001.0000.7670.9620.388
(재)지정번호0.9331.0001.0001.0001.0000.3610.0000.430
업소명1.0001.0001.0001.0001.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.0001.0001.0001.0001.000
소재지전화번호1.0001.0001.0001.0001.0001.0001.0001.000
업태명0.7670.3611.0001.0001.0001.0001.0000.076
주된음식0.9620.0001.0001.0001.0001.0001.0000.830
행정동0.3880.4301.0001.0001.0000.0760.8301.000
2023-12-12T16:35:03.437383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동지정일자업태명
행정동1.0000.1010.000
지정일자0.1011.0000.374
업태명0.0000.3741.000
2023-12-12T16:35:03.526849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
(재)지정번호지정일자업태명행정동
(재)지정번호1.0000.5960.1970.237
지정일자0.5961.0000.3740.101
업태명0.1970.3741.0000.000
행정동0.2370.1010.0001.000

Missing values

2023-12-12T16:34:58.213025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:34:58.396292image/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

구분지정일자최신재지정일자(재)지정년도(재)지정번호업소명소재지(도로명)소재지전화번호업태명주된음식행정동데이터기준일자
0재지정1999-07-302021-11-09202114강씨네 아천칡냉면경기도 구리시 원수택로 4 (수택동)031-557-0999냉면집칡냉면,만두수택2동2022-05-20
1재지정2018-06-042021-11-0920216강창구찹쌀진순대경기도 구리시 검배로 74, 2층 (수택동)031-565-9174한식순대국, 해장국수택2동2022-05-20
2재지정2016-05-122021-11-0920215고구려경기도 구리시 우미내길 6 (아천동, 1층)02-456-9788한식소등심교문1동2022-05-20
3재지정2016-05-122021-11-09202113귀품찬구리직영점경기도 구리시 벌말로 78, 2,3,4층 (토평동)031-569-8292한식소갈비수택3동2022-05-20
4재지정2007-12-202021-11-09202114금강농원경기도 구리시 벌말로 67-7 (토평동, 1층)031-566-9244한식등심수택3동2022-05-20
5재지정2014-06-112021-11-0920213남가네 설악추어탕 토평점경기도 구리시 벌말로 70 (토평동,(1층))031-555-7111한식추어탕수택3동2022-05-20
6재지정2019-12-132021-11-09202177다인한정식경기도 구리시 벌말로 98, 1,2층 (토평동)031-568-3977한식한정식수택3동2022-05-20
7재지정2010-12-232021-11-0920216당진아구동태찜탕경기도 구리시 검배로 67 (수택동)031-569-1568한식돼지갈비수택2동2022-05-20
8재지정2005-08-102021-11-0920211도야족발경기도 구리시 원수택로 62 (수택동)031-555-0903한식돼지족발수택2동2022-05-20
9재지정2008-03-312021-11-0920212동원한방족발경기도 구리시 안골로 61 (수택동)031-557-3338한식등심, 갈비수택1동2022-05-20
구분지정일자최신재지정일자(재)지정년도(재)지정번호업소명소재지(도로명)소재지전화번호업태명주된음식행정동데이터기준일자
39재지정2014-06-112021-11-0920215초향경기도 구리시 안골로 4 (교문동,1층)031-551-0717한식복지리, 복사시미인창동2022-05-20
40재지정2000-11-282021-11-09202123큰집돌솥설렁탕경기도 구리시 안골로 51, 2층 (교문동, 외1필지(1-31))031-552-6633한식설렁탕,갈비탕,도가니교문1동2022-05-20
41재지정2005-08-102021-11-0920218토평낙지마당경기도 구리시 이문안로152번길 8 (토평동,(1층))031-555-5725한식낙지전골수택3동2022-05-20
42재지정2006-08-292021-11-09202116파스타 아미고경기도 구리시 벌말로70번길 67 (토평동, 1,2층)031-562-4357경양식파스타수택3동2022-05-20
43재지정2019-12-132021-11-09202178풍어촌경기도 구리시 벌말로 94 (토평동)031-563-3232한식낚지볶음, 연포탕수택3동2022-05-20
44재지정2015-04-092021-11-0920214하루덕 구리인창점경기도 구리시 건원대로99번길 99 (인창동, 1층)031-552-2280한식훈제오리,주물럭인창동2022-05-20
45재지정2006-08-292021-11-0920216학경기도 구리시 안골로 47 (교문동)031-552-2027일식생선회,회정식,초밥교문1동2022-05-20
46재지정2016-05-122021-11-09202112한솥도시락 구리교문점경기도 구리시 경춘로172번길 5 (교문동,1층)031-515-3036한식돼지갈비,백반인창동2022-05-20
47재지정2014-06-112021-11-0920211한우명가 어서오소경기도 구리시 안골로 56 (수택동, 1층)031-562-4105한식한식부페수택1동2022-05-20
48재지정2015-04-092021-11-09202111화로상회 구리인창점경기도 구리시 건원대로 79 (인창동, 2층)031-565-3374한식삼겹살구이인창동2022-05-20