Overview

Dataset statistics

Number of variables11
Number of observations132
Missing cells64
Missing cells (%)4.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.6 KiB
Average record size in memory90.0 B

Variable types

Categorical4
DateTime2
Text4
Numeric1

Dataset

Description강원도 원주시에 있는 제과점 (업소명, 소재지(도로명주소), 전화번호, 인허가날짜 , 영업장의 면적 등) 의 다양한 정보제공
Author강원도 원주시
URLhttps://www.data.go.kr/data/3069205/fileData.do

Alerts

업종명 has constant value ""Constant
업태명 has constant value ""Constant
관리기관 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지(도로명) has 3 (2.3%) missing valuesMissing
소재지전화 has 61 (46.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 01:47:44.037688
Analysis finished2023-12-12 01:47:45.176864
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
제과점영업
132 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 132
100.0%

Length

2023-12-12T10:47:45.245961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:47:45.365276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 132
100.0%

인허가일자
Date

Distinct126
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum1984-12-28 00:00:00
Maximum2022-07-11 00:00:00
2023-12-12T10:47:45.815342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:47:46.008008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct131
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T10:47:46.333825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length7.719697
Min length2

Characters and Unicode

Total characters1019
Distinct characters215
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

Unique130 ?
Unique (%)98.5%

Sample

1st row파리바게트삼익점
2nd row오란다제과
3rd row파리바게트원주1호점
4th row파리바케트원주단계점
5th row쉘브르베이커리
ValueCountFrequency (%)
달인의꿈 2
 
1.5%
떡참들 2
 
1.5%
별찌살롱 1
 
0.7%
스윗드림 1
 
0.7%
뚜레쥬르원주기업도시점 1
 
0.7%
베이커리궁 1
 
0.7%
쿠킹아트베이킹스튜디오 1
 
0.7%
파리바게트원주롯데캐슬점 1
 
0.7%
빠나데리아 1
 
0.7%
오케이크 1
 
0.7%
Other values (123) 123
91.1%
2023-12-12T10:47:46.860155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 57
 
5.6%
리 52
 
5.1%
주 38
 
3.7%
원 35
 
3.4%
이 31
 
3.0%
파 29
 
2.8%
바 27
 
2.6%
게 26
 
2.6%
레 24
 
2.4%
) 22
 
2.2%
Other values (205) 678
66.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 967
94.9%
Close Punctuation 22
 
2.2%
Open Punctuation 21
 
2.1%
Decimal Number 6
 
0.6%
Space Separator 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 57
 
5.9%
리 52
 
5.4%
주 38
 
3.9%
원 35
 
3.6%
이 31
 
3.2%
파 29
 
3.0%
바 27
 
2.8%
게 26
 
2.7%
레 24
 
2.5%
르 22
 
2.3%
Other values (197) 626
64.7%
Decimal Number
ValueCountFrequency (%)
2 2
33.3%
5 1
16.7%
4 1
16.7%
3 1
16.7%
1 1
16.7%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 967
94.9%
Common 52
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 57
 
5.9%
리 52
 
5.4%
주 38
 
3.9%
원 35
 
3.6%
이 31
 
3.2%
파 29
 
3.0%
바 27
 
2.8%
게 26
 
2.7%
레 24
 
2.5%
르 22
 
2.3%
Other values (197) 626
64.7%
Common
ValueCountFrequency (%)
) 22
42.3%
( 21
40.4%
3
 
5.8%
2 2
 
3.8%
5 1
 
1.9%
4 1
 
1.9%
3 1
 
1.9%
1 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 967
94.9%
ASCII 52
 
5.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 57
 
5.9%
리 52
 
5.4%
주 38
 
3.9%
원 35
 
3.6%
이 31
 
3.2%
파 29
 
3.0%
바 27
 
2.8%
게 26
 
2.7%
레 24
 
2.5%
르 22
 
2.3%
Other values (197) 626
64.7%
ASCII
ValueCountFrequency (%)
) 22
42.3%
( 21
40.4%
3
 
5.8%
2 2
 
3.8%
5 1
 
1.9%
4 1
 
1.9%
3 1
 
1.9%
1 1
 
1.9%

소재지(도로명)
Text

MISSING 

Distinct129
Distinct (%)100.0%
Missing3
Missing (%)2.3%
Memory size1.2 KiB
2023-12-12T10:47:47.195556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length41
Mean length30.503876
Min length17

Characters and Unicode

Total characters3935
Distinct characters218
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique129 ?
Unique (%)100.0%

Sample

1st row강원도 원주시 행구로 80, 지상1층 106.107.109호 (봉산동, 삼익아파트상가)
2nd row강원도 원주시 평원로 61 (중앙동)
3rd row강원도 원주시 원일로115번길 5 (일산동,362-8)
4th row강원도 원주시 백간길 74, 라이프타운 101,102,103,104,106호 (단계동)
5th row강원도 원주시 금불3길 36 (단계동)
ValueCountFrequency (%)
강원도 129
 
15.5%
원주시 129
 
15.5%
1층 45
 
5.4%
지상1층 20
 
2.4%
무실동 18
 
2.2%
단계동 15
 
1.8%
반곡동 13
 
1.6%
지정면 11
 
1.3%
단구동 10
 
1.2%
시청로 9
 
1.1%
Other values (282) 433
52.0%
2023-12-12T10:47:47.764929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
703
 
17.9%
원 296
 
7.5%
1 240
 
6.1%
시 145
 
3.7%
주 141
 
3.6%
, 136
 
3.5%
강 131
 
3.3%
도 131
 
3.3%
동 124
 
3.2%
( 117
 
3.0%
Other values (208) 1771
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2154
54.7%
Space Separator 703
 
17.9%
Decimal Number 676
 
17.2%
Other Punctuation 138
 
3.5%
Open Punctuation 117
 
3.0%
Close Punctuation 117
 
3.0%
Dash Punctuation 24
 
0.6%
Uppercase Letter 4
 
0.1%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 296
 
13.7%
시 145
 
6.7%
주 141
 
6.5%
강 131
 
6.1%
도 131
 
6.1%
동 124
 
5.8%
로 94
 
4.4%
층 77
 
3.6%
호 62
 
2.9%
지 55
 
2.6%
Other values (187) 898
41.7%
Decimal Number
ValueCountFrequency (%)
1 240
35.5%
2 78
 
11.5%
0 74
 
10.9%
3 61
 
9.0%
4 52
 
7.7%
6 41
 
6.1%
5 35
 
5.2%
9 34
 
5.0%
7 32
 
4.7%
8 29
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
B 1
25.0%
C 1
25.0%
G 1
25.0%
S 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 136
98.6%
. 2
 
1.4%
Space Separator
ValueCountFrequency (%)
703
100.0%
Open Punctuation
ValueCountFrequency (%)
( 117
100.0%
Close Punctuation
ValueCountFrequency (%)
) 117
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2154
54.7%
Common 1777
45.2%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 296
 
13.7%
시 145
 
6.7%
주 141
 
6.5%
강 131
 
6.1%
도 131
 
6.1%
동 124
 
5.8%
로 94
 
4.4%
층 77
 
3.6%
호 62
 
2.9%
지 55
 
2.6%
Other values (187) 898
41.7%
Common
ValueCountFrequency (%)
703
39.6%
1 240
 
13.5%
, 136
 
7.7%
( 117
 
6.6%
) 117
 
6.6%
2 78
 
4.4%
0 74
 
4.2%
3 61
 
3.4%
4 52
 
2.9%
6 41
 
2.3%
Other values (7) 158
 
8.9%
Latin
ValueCountFrequency (%)
B 1
25.0%
C 1
25.0%
G 1
25.0%
S 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2154
54.7%
ASCII 1781
45.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
703
39.5%
1 240
 
13.5%
, 136
 
7.6%
( 117
 
6.6%
) 117
 
6.6%
2 78
 
4.4%
0 74
 
4.2%
3 61
 
3.4%
4 52
 
2.9%
6 41
 
2.3%
Other values (11) 162
 
9.1%
Hangul
ValueCountFrequency (%)
원 296
 
13.7%
시 145
 
6.7%
주 141
 
6.5%
강 131
 
6.1%
도 131
 
6.1%
동 124
 
5.8%
로 94
 
4.4%
층 77
 
3.6%
호 62
 
2.9%
지 55
 
2.6%
Other values (187) 898
41.7%

소재지(지번)
Text

Distinct129
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T10:47:48.141879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length42
Mean length25.409091
Min length16

Characters and Unicode

Total characters3354
Distinct characters173
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

Unique126 ?
Unique (%)95.5%

Sample

1st row강원도 원주시 봉산동 1201 삼익아파트상가,지상1층106.107.109호
2nd row강원도 원주시 중앙동 72-1
3rd row강원도 원주시 일산동 72-3 362-8
4th row강원도 원주시 단계동 808-1 라이프타운
5th row강원도 원주시 단계동 813-13
ValueCountFrequency (%)
강원도 132
19.3%
원주시 132
19.3%
무실동 19
 
2.8%
1층 15
 
2.2%
단계동 15
 
2.2%
반곡동 14
 
2.0%
지정면 12
 
1.8%
단구동 12
 
1.8%
관설동 9
 
1.3%
명륜동 7
 
1.0%
Other values (237) 316
46.3%
2023-12-12T10:47:48.783210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
674
20.1%
1 291
 
8.7%
원 273
 
8.1%
주 143
 
4.3%
시 137
 
4.1%
도 133
 
4.0%
강 132
 
3.9%
동 122
 
3.6%
- 115
 
3.4%
0 79
 
2.4%
Other values (163) 1255
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1715
51.1%
Decimal Number 806
24.0%
Space Separator 674
 
20.1%
Dash Punctuation 115
 
3.4%
Other Punctuation 28
 
0.8%
Close Punctuation 7
 
0.2%
Open Punctuation 7
 
0.2%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 273
15.9%
주 143
 
8.3%
시 137
 
8.0%
도 133
 
7.8%
강 132
 
7.7%
동 122
 
7.1%
지 43
 
2.5%
호 37
 
2.2%
층 35
 
2.0%
단 29
 
1.7%
Other values (146) 631
36.8%
Decimal Number
ValueCountFrequency (%)
1 291
36.1%
0 79
 
9.8%
2 62
 
7.7%
3 61
 
7.6%
4 60
 
7.4%
5 60
 
7.4%
6 52
 
6.5%
8 51
 
6.3%
7 48
 
6.0%
9 42
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 26
92.9%
. 2
 
7.1%
Space Separator
ValueCountFrequency (%)
674
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 115
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1715
51.1%
Common 1639
48.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 273
15.9%
주 143
 
8.3%
시 137
 
8.0%
도 133
 
7.8%
강 132
 
7.7%
동 122
 
7.1%
지 43
 
2.5%
호 37
 
2.2%
층 35
 
2.0%
단 29
 
1.7%
Other values (146) 631
36.8%
Common
ValueCountFrequency (%)
674
41.1%
1 291
17.8%
- 115
 
7.0%
0 79
 
4.8%
2 62
 
3.8%
3 61
 
3.7%
4 60
 
3.7%
5 60
 
3.7%
6 52
 
3.2%
8 51
 
3.1%
Other values (7) 134
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1715
51.1%
ASCII 1639
48.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
674
41.1%
1 291
17.8%
- 115
 
7.0%
0 79
 
4.8%
2 62
 
3.8%
3 61
 
3.7%
4 60
 
3.7%
5 60
 
3.7%
6 52
 
3.2%
8 51
 
3.1%
Other values (7) 134
 
8.2%
Hangul
ValueCountFrequency (%)
원 273
15.9%
주 143
 
8.3%
시 137
 
8.0%
도 133
 
7.8%
강 132
 
7.7%
동 122
 
7.1%
지 43
 
2.5%
호 37
 
2.2%
층 35
 
2.0%
단 29
 
1.7%
Other values (146) 631
36.8%

영업장면적
Real number (ℝ)

Distinct129
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.558636
Minimum0
Maximum196
Zeros1
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T10:47:49.007780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19.395
Q137.365
median53.67
Q380.335
95-th percentile133.7665
Maximum196
Range196
Interquartile range (IQR)42.97

Descriptive statistics

Standard deviation38.758419
Coefficient of variation (CV)0.60980571
Kurtosis2.217285
Mean63.558636
Median Absolute Deviation (MAD)18.285
Skewness1.379904
Sum8389.74
Variance1502.2151
MonotonicityNot monotonic
2023-12-12T10:47:49.206337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38.95 2
 
1.5%
54.0 2
 
1.5%
59.0 2
 
1.5%
70.2 1
 
0.8%
34.68 1
 
0.8%
77.55 1
 
0.8%
191.04 1
 
0.8%
160.82 1
 
0.8%
64.0 1
 
0.8%
25.9 1
 
0.8%
Other values (119) 119
90.2%
ValueCountFrequency (%)
0.0 1
0.8%
3.52 1
0.8%
3.91 1
0.8%
6.65 1
0.8%
9.34 1
0.8%
18.34 1
0.8%
18.9 1
0.8%
19.8 1
0.8%
21.12 1
0.8%
21.6 1
0.8%
ValueCountFrequency (%)
196.0 1
0.8%
191.04 1
0.8%
185.6 1
0.8%
182.35 1
0.8%
175.24 1
0.8%
160.82 1
0.8%
134.52 1
0.8%
133.15 1
0.8%
132.56 1
0.8%
131.76 1
0.8%

소재지전화
Text

MISSING 

Distinct68
Distinct (%)95.8%
Missing61
Missing (%)46.2%
Memory size1.2 KiB
2023-12-12T10:47:49.534036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters852
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

Unique65 ?
Unique (%)91.5%

Sample

1st row033-743-7584
2nd row033-745-6076
3rd row033-731-8228
4th row033-742-4475
5th row033-732-0558
ValueCountFrequency (%)
033-735-8200 2
 
2.8%
033-731-8228 2
 
2.8%
033-730-2817 2
 
2.8%
033-743-0067 1
 
1.4%
033-7483-650 1
 
1.4%
033-761-0441 1
 
1.4%
033-731-3161 1
 
1.4%
033-743-7584 1
 
1.4%
033-732-4056 1
 
1.4%
033-743-7953 1
 
1.4%
Other values (58) 58
81.7%
2023-12-12T10:47:50.027431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 200
23.5%
- 142
16.7%
0 126
14.8%
7 103
12.1%
4 54
 
6.3%
6 49
 
5.8%
5 44
 
5.2%
2 43
 
5.0%
8 40
 
4.7%
1 35
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 710
83.3%
Dash Punctuation 142
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 200
28.2%
0 126
17.7%
7 103
14.5%
4 54
 
7.6%
6 49
 
6.9%
5 44
 
6.2%
2 43
 
6.1%
8 40
 
5.6%
1 35
 
4.9%
9 16
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 142
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 852
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 200
23.5%
- 142
16.7%
0 126
14.8%
7 103
12.1%
4 54
 
6.3%
6 49
 
5.8%
5 44
 
5.2%
2 43
 
5.0%
8 40
 
4.7%
1 35
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 852
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 200
23.5%
- 142
16.7%
0 126
14.8%
7 103
12.1%
4 54
 
6.3%
6 49
 
5.8%
5 44
 
5.2%
2 43
 
5.0%
8 40
 
4.7%
1 35
 
4.1%

업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
제과점영업
132 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 132
100.0%

Length

2023-12-12T10:47:50.196547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:47:50.303928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 132
100.0%

관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
강원도 원주시청
132 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강원도 원주시청
2nd row강원도 원주시청
3rd row강원도 원주시청
4th row강원도 원주시청
5th row강원도 원주시청

Common Values

ValueCountFrequency (%)
강원도 원주시청 132
100.0%

Length

2023-12-12T10:47:50.406888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:47:50.512798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원도 132
50.0%
원주시청 132
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
033-737-4039
132 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row033-737-4039
2nd row033-737-4039
3rd row033-737-4039
4th row033-737-4039
5th row033-737-4039

Common Values

ValueCountFrequency (%)
033-737-4039 132
100.0%

Length

2023-12-12T10:47:50.618032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:47:50.772680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
033-737-4039 132
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2022-08-23 00:00:00
Maximum2022-08-23 00:00:00
2023-12-12T10:47:50.862244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:47:50.967361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T10:47:44.608152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:47:51.035503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업장면적소재지전화
영업장면적1.0000.944
소재지전화0.9441.000

Missing values

2023-12-12T10:47:44.789784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:47:44.981230image/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.
2023-12-12T10:47:45.122062image/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

업종명인허가일자업소명소재지(도로명)소재지(지번)영업장면적소재지전화업태명관리기관관리기관전화번호데이터기준일자
0제과점영업1984-12-28파리바게트삼익점강원도 원주시 행구로 80, 지상1층 106.107.109호 (봉산동, 삼익아파트상가)강원도 원주시 봉산동 1201 삼익아파트상가,지상1층106.107.109호70.2033-743-7584제과점영업강원도 원주시청033-737-40392022-08-23
1제과점영업1986-06-21오란다제과강원도 원주시 평원로 61 (중앙동)강원도 원주시 중앙동 72-10.0033-745-6076제과점영업강원도 원주시청033-737-40392022-08-23
2제과점영업1991-11-11파리바게트원주1호점강원도 원주시 원일로115번길 5 (일산동,362-8)강원도 원주시 일산동 72-3 362-889.27033-731-8228제과점영업강원도 원주시청033-737-40392022-08-23
3제과점영업1994-08-03파리바케트원주단계점강원도 원주시 백간길 74, 라이프타운 101,102,103,104,106호 (단계동)강원도 원주시 단계동 808-1 라이프타운99.9033-742-4475제과점영업강원도 원주시청033-737-40392022-08-23
4제과점영업1994-11-01쉘브르베이커리강원도 원주시 금불3길 36 (단계동)강원도 원주시 단계동 813-1352.29033-732-0558제과점영업강원도 원주시청033-737-40392022-08-23
5제과점영업1995-02-03파리바게트우산점강원도 원주시 우산로 69 (우산동)강원도 원주시 우산동 200-444.38033-732-5359제과점영업강원도 원주시청033-737-40392022-08-23
6제과점영업1997-04-30파리바게뜨청구점강원도 원주시 남원로 441 (명륜동)강원도 원주시 명륜동 847-363.01033-763-8204제과점영업강원도 원주시청033-737-40392022-08-23
7제과점영업1998-07-01뚜레쥬르(중앙점)강원도 원주시 원일로 114 (중앙동)강원도 원주시 중앙동 60-1352.4033-746-7777제과점영업강원도 원주시청033-737-40392022-08-23
8제과점영업1998-08-18신라명과태장점강원도 원주시 흥양로51번길 9, 지상1층 (태장동)강원도 원주시 태장동 1373-4 지상1층50.97033-745-0104제과점영업강원도 원주시청033-737-40392022-08-23
9제과점영업1998-11-03뚜레쥬르원주상지대점강원도 원주시 우산로 71 (우산동)강원도 원주시 우산동 120-2335.0033-732-5100제과점영업강원도 원주시청033-737-40392022-08-23
업종명인허가일자업소명소재지(도로명)소재지(지번)영업장면적소재지전화업태명관리기관관리기관전화번호데이터기준일자
122제과점영업2021-04-26갓구운빵마을강원도 원주시 서원대로 396, 스타월드 1층 115호 (단구동)강원도 원주시 단구동 1511-2 스타월드 115호59.0<NA>제과점영업강원도 원주시청033-737-40392022-08-23
123제과점영업2021-06-07오하우스강원도 원주시 양지뜰3길 5-1, 1층 (반곡동)강원도 원주시 반곡동 1844-9 1층107.65<NA>제과점영업강원도 원주시청033-737-40392022-08-23
124제과점영업2021-06-18오크밸리씨씨클럽하우스강원도 원주시 지정면 월송석화로 950, 오크밸리씨씨클럽하우스 2층강원도 원주시 지정면 월송리 1039 오크밸리9.34033-730-3650제과점영업강원도 원주시청033-737-40392022-08-23
125제과점영업2021-07-05블럭제빵소원주무실점강원도 원주시 시청로 94, 보네르 빌딩 103호 (무실동)강원도 원주시 무실동 1642-1 보네르 빌딩36.21<NA>제과점영업강원도 원주시청033-737-40392022-08-23
126제과점영업2021-07-28냠냠강원도 원주시 반곡초교로 84, 1층 (반곡동)강원도 원주시 반곡동 1413-14 1층131.76<NA>제과점영업강원도 원주시청033-737-40392022-08-23
127제과점영업2021-09-14우노강원도 원주시 세계로 111, 상가동 1층 3호 (반곡동, 모아엘가아파트)강원도 원주시 반곡동 1964-7 모아엘가아파트 상가동 1층 3호41.6<NA>제과점영업강원도 원주시청033-737-40392022-08-23
128제과점영업2021-11-24파리바게뜨원주센트럴파크강원도 원주시 한지공원길 120, 102,103호 (무실동, 더샵원주센트럴파크1단지)강원도 원주시 무실동 12-23 더샵원주센트럴파크1단지92.53<NA>제과점영업강원도 원주시청033-737-40392022-08-23
129제과점영업2022-04-15빵대장강원도 원주시 원문로 156-2, 동보렉스3차아파트 1층 2호 (단계동)강원도 원주시 단계동 111-4 동보렉스3차아파트34.64<NA>제과점영업강원도 원주시청033-737-40392022-08-23
130제과점영업2022-07-11카페르뱅커피그립강원도 원주시 건강로 17, 1층 106호 (반곡동)강원도 원주시 반곡동 1910-146.2<NA>제과점영업강원도 원주시청033-737-40392022-08-23
131제과점영업2022-07-11카페르뱅브레드그립강원도 원주시 건강로 17, 1층 104호 (반곡동)강원도 원주시 반곡동 1910-147.68<NA>제과점영업강원도 원주시청033-737-40392022-08-23