Overview

Dataset statistics

Number of variables9
Number of observations783
Missing cells294
Missing cells (%)4.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory55.2 KiB
Average record size in memory72.2 B

Variable types

Text4
DateTime2
Categorical3

Dataset

Description강원도 고성군 음식점 현황
Author강원도 고성군
URLhttps://www.data.go.kr/data/15017268/fileData.do

Alerts

기준일자 has constant value ""Constant
업종명 is highly overall correlated with 업태명High correlation
업태명 is highly overall correlated with 업종명High correlation
업종명 is highly imbalanced (54.6%)Imbalance
소재지(도로명) has 8 (1.0%) missing valuesMissing
소재지(지번) has 47 (6.0%) missing valuesMissing
소재지전화 has 239 (30.5%) missing valuesMissing

Reproduction

Analysis started2023-12-11 23:39:06.384232
Analysis finished2023-12-11 23:39:07.394990
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct774
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-12T08:39:07.598200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length24
Mean length6.0689655
Min length2

Characters and Unicode

Total characters4752
Distinct characters562
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

Unique765 ?
Unique (%)97.7%

Sample

1st row가마솥 소머리&순대국
2nd row한일식당
3rd row진부령식당
4th row신설식당
5th row형제식당
ValueCountFrequency (%)
횟집 8
 
0.8%
간성점 7
 
0.7%
gs25 7
 
0.7%
막국수 4
 
0.4%
거진 4
 
0.4%
거진점 4
 
0.4%
고성간성점 4
 
0.4%
베이커리 4
 
0.4%
바다정원 4
 
0.4%
공현진 3
 
0.3%
Other values (876) 926
95.0%
2023-12-12T08:39:08.061860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
192
 
4.0%
집 104
 
2.2%
식 103
 
2.2%
이 100
 
2.1%
점 89
 
1.9%
당 89
 
1.9%
성 80
 
1.7%
스 75
 
1.6%
수 68
 
1.4%
횟 67
 
1.4%
Other values (552) 3785
79.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4168
87.7%
Space Separator 192
 
4.0%
Uppercase Letter 145
 
3.1%
Lowercase Letter 92
 
1.9%
Decimal Number 77
 
1.6%
Open Punctuation 30
 
0.6%
Close Punctuation 30
 
0.6%
Other Punctuation 13
 
0.3%
Dash Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
집 104
 
2.5%
식 103
 
2.5%
이 100
 
2.4%
점 89
 
2.1%
당 89
 
2.1%
성 80
 
1.9%
스 75
 
1.8%
수 68
 
1.6%
횟 67
 
1.6%
리 64
 
1.5%
Other values (488) 3329
79.9%
Uppercase Letter
ValueCountFrequency (%)
A 15
 
10.3%
S 15
 
10.3%
E 11
 
7.6%
G 11
 
7.6%
R 11
 
7.6%
O 9
 
6.2%
B 8
 
5.5%
T 8
 
5.5%
C 7
 
4.8%
M 7
 
4.8%
Other values (15) 43
29.7%
Lowercase Letter
ValueCountFrequency (%)
o 12
13.0%
e 11
12.0%
t 9
 
9.8%
c 7
 
7.6%
n 6
 
6.5%
l 5
 
5.4%
r 5
 
5.4%
s 5
 
5.4%
f 5
 
5.4%
b 4
 
4.3%
Other values (11) 23
25.0%
Decimal Number
ValueCountFrequency (%)
2 19
24.7%
1 13
16.9%
5 12
15.6%
3 7
 
9.1%
0 7
 
9.1%
8 6
 
7.8%
9 4
 
5.2%
7 4
 
5.2%
4 3
 
3.9%
6 2
 
2.6%
Other Punctuation
ValueCountFrequency (%)
& 7
53.8%
, 3
23.1%
' 2
 
15.4%
. 1
 
7.7%
Space Separator
ValueCountFrequency (%)
192
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4168
87.7%
Common 347
 
7.3%
Latin 237
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
집 104
 
2.5%
식 103
 
2.5%
이 100
 
2.4%
점 89
 
2.1%
당 89
 
2.1%
성 80
 
1.9%
스 75
 
1.8%
수 68
 
1.6%
횟 67
 
1.6%
리 64
 
1.5%
Other values (488) 3329
79.9%
Latin
ValueCountFrequency (%)
A 15
 
6.3%
S 15
 
6.3%
o 12
 
5.1%
E 11
 
4.6%
G 11
 
4.6%
e 11
 
4.6%
R 11
 
4.6%
O 9
 
3.8%
t 9
 
3.8%
B 8
 
3.4%
Other values (36) 125
52.7%
Common
ValueCountFrequency (%)
192
55.3%
( 30
 
8.6%
) 30
 
8.6%
2 19
 
5.5%
1 13
 
3.7%
5 12
 
3.5%
& 7
 
2.0%
3 7
 
2.0%
0 7
 
2.0%
8 6
 
1.7%
Other values (8) 24
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4168
87.7%
ASCII 584
 
12.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
192
32.9%
( 30
 
5.1%
) 30
 
5.1%
2 19
 
3.3%
A 15
 
2.6%
S 15
 
2.6%
1 13
 
2.2%
o 12
 
2.1%
5 12
 
2.1%
E 11
 
1.9%
Other values (54) 235
40.2%
Hangul
ValueCountFrequency (%)
집 104
 
2.5%
식 103
 
2.5%
이 100
 
2.4%
점 89
 
2.1%
당 89
 
2.1%
성 80
 
1.9%
스 75
 
1.8%
수 68
 
1.6%
횟 67
 
1.6%
리 64
 
1.5%
Other values (488) 3329
79.9%

소재지(도로명)
Text

MISSING 

Distinct627
Distinct (%)80.9%
Missing8
Missing (%)1.0%
Memory size6.2 KiB
2023-12-12T08:39:08.437130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length21.212903
Min length17

Characters and Unicode

Total characters16440
Distinct characters241
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

Unique555 ?
Unique (%)71.6%

Sample

1st row강원도 고성군 간성읍 간성로 75
2nd row강원도 고성군 거진읍 거진길 48
3rd row강원도 고성군 간성읍 진부령로 662
4th row강원도 고성군 토성면 천진1길 3
5th row강원도 고성군 토성면 아야진1길 14
ValueCountFrequency (%)
강원도 775
19.4%
고성군 775
19.4%
토성면 239
 
6.0%
간성읍 182
 
4.6%
거진읍 164
 
4.1%
죽왕면 127
 
3.2%
간성로 81
 
2.0%
현내면 63
 
1.6%
거탄진로 60
 
1.5%
토성로 49
 
1.2%
Other values (567) 1476
37.0%
2023-12-12T08:39:08.972248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3216
19.6%
성 1405
 
8.5%
고 799
 
4.9%
강 796
 
4.8%
도 789
 
4.8%
원 788
 
4.8%
군 775
 
4.7%
1 567
 
3.4%
진 442
 
2.7%
면 431
 
2.6%
Other values (231) 6432
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10646
64.8%
Space Separator 3216
 
19.6%
Decimal Number 2245
 
13.7%
Dash Punctuation 202
 
1.2%
Other Punctuation 110
 
0.7%
Uppercase Letter 16
 
0.1%
Lowercase Letter 3
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 1405
 
13.2%
고 799
 
7.5%
강 796
 
7.5%
도 789
 
7.4%
원 788
 
7.4%
군 775
 
7.3%
진 442
 
4.2%
면 431
 
4.0%
길 413
 
3.9%
로 390
 
3.7%
Other values (206) 3618
34.0%
Decimal Number
ValueCountFrequency (%)
1 567
25.3%
2 295
13.1%
3 234
10.4%
5 216
 
9.6%
4 212
 
9.4%
6 163
 
7.3%
7 158
 
7.0%
8 140
 
6.2%
9 133
 
5.9%
0 127
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
B 4
25.0%
C 3
18.8%
U 3
18.8%
A 3
18.8%
G 1
 
6.2%
S 1
 
6.2%
Q 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 105
95.5%
& 5
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
c 2
66.7%
u 1
33.3%
Space Separator
ValueCountFrequency (%)
3216
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 202
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10646
64.8%
Common 5775
35.1%
Latin 19
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 1405
 
13.2%
고 799
 
7.5%
강 796
 
7.5%
도 789
 
7.4%
원 788
 
7.4%
군 775
 
7.3%
진 442
 
4.2%
면 431
 
4.0%
길 413
 
3.9%
로 390
 
3.7%
Other values (206) 3618
34.0%
Common
ValueCountFrequency (%)
3216
55.7%
1 567
 
9.8%
2 295
 
5.1%
3 234
 
4.1%
5 216
 
3.7%
4 212
 
3.7%
- 202
 
3.5%
6 163
 
2.8%
7 158
 
2.7%
8 140
 
2.4%
Other values (6) 372
 
6.4%
Latin
ValueCountFrequency (%)
B 4
21.1%
C 3
15.8%
U 3
15.8%
A 3
15.8%
c 2
10.5%
G 1
 
5.3%
S 1
 
5.3%
Q 1
 
5.3%
u 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10646
64.8%
ASCII 5794
35.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3216
55.5%
1 567
 
9.8%
2 295
 
5.1%
3 234
 
4.0%
5 216
 
3.7%
4 212
 
3.7%
- 202
 
3.5%
6 163
 
2.8%
7 158
 
2.7%
8 140
 
2.4%
Other values (15) 391
 
6.7%
Hangul
ValueCountFrequency (%)
성 1405
 
13.2%
고 799
 
7.5%
강 796
 
7.5%
도 789
 
7.4%
원 788
 
7.4%
군 775
 
7.3%
진 442
 
4.2%
면 431
 
4.0%
길 413
 
3.9%
로 390
 
3.7%
Other values (206) 3618
34.0%

소재지(지번)
Text

MISSING 

Distinct633
Distinct (%)86.0%
Missing47
Missing (%)6.0%
Memory size6.2 KiB
2023-12-12T08:39:09.260338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length39
Mean length23.168478
Min length18

Characters and Unicode

Total characters17052
Distinct characters251
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

Unique571 ?
Unique (%)77.6%

Sample

1st row강원도 고성군 간성읍 하리 22-2
2nd row강원도 고성군 거진읍 48-58
3rd row강원도 고성군 간성읍 662-0
4th row강원도 고성군 토성면 천진리 179-17
5th row강원도 고성군 토성면 아야진리 0-14
ValueCountFrequency (%)
강원도 736
18.9%
고성군 736
18.9%
토성면 228
 
5.9%
간성읍 173
 
4.4%
거진읍 155
 
4.0%
거진리 138
 
3.5%
죽왕면 119
 
3.1%
신안리 96
 
2.5%
현내면 61
 
1.6%
봉포리 54
 
1.4%
Other values (728) 1395
35.9%
2023-12-12T08:39:09.685303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3858
22.6%
성 1150
 
6.7%
원 771
 
4.5%
리 764
 
4.5%
도 750
 
4.4%
고 742
 
4.4%
강 737
 
4.3%
군 737
 
4.3%
1 616
 
3.6%
- 587
 
3.4%
Other values (241) 6340
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9611
56.4%
Space Separator 3858
22.6%
Decimal Number 2944
 
17.3%
Dash Punctuation 587
 
3.4%
Uppercase Letter 26
 
0.2%
Other Punctuation 20
 
0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 1150
12.0%
원 771
 
8.0%
리 764
 
7.9%
도 750
 
7.8%
고 742
 
7.7%
강 737
 
7.7%
군 737
 
7.7%
진 463
 
4.8%
면 410
 
4.3%
읍 328
 
3.4%
Other values (213) 2759
28.7%
Decimal Number
ValueCountFrequency (%)
1 616
20.9%
2 532
18.1%
3 305
10.4%
4 274
9.3%
7 245
 
8.3%
8 242
 
8.2%
5 218
 
7.4%
6 193
 
6.6%
0 171
 
5.8%
9 148
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
E 6
23.1%
B 4
15.4%
C 3
11.5%
U 3
11.5%
A 3
11.5%
N 2
 
7.7%
V 2
 
7.7%
L 2
 
7.7%
Q 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 15
75.0%
& 4
 
20.0%
/ 1
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
u 1
50.0%
Space Separator
ValueCountFrequency (%)
3858
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 587
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9611
56.4%
Common 7413
43.5%
Latin 28
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 1150
12.0%
원 771
 
8.0%
리 764
 
7.9%
도 750
 
7.8%
고 742
 
7.7%
강 737
 
7.7%
군 737
 
7.7%
진 463
 
4.8%
면 410
 
4.3%
읍 328
 
3.4%
Other values (213) 2759
28.7%
Common
ValueCountFrequency (%)
3858
52.0%
1 616
 
8.3%
- 587
 
7.9%
2 532
 
7.2%
3 305
 
4.1%
4 274
 
3.7%
7 245
 
3.3%
8 242
 
3.3%
5 218
 
2.9%
6 193
 
2.6%
Other values (7) 343
 
4.6%
Latin
ValueCountFrequency (%)
E 6
21.4%
B 4
14.3%
C 3
10.7%
U 3
10.7%
A 3
10.7%
N 2
 
7.1%
V 2
 
7.1%
L 2
 
7.1%
c 1
 
3.6%
u 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9611
56.4%
ASCII 7441
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3858
51.8%
1 616
 
8.3%
- 587
 
7.9%
2 532
 
7.1%
3 305
 
4.1%
4 274
 
3.7%
7 245
 
3.3%
8 242
 
3.3%
5 218
 
2.9%
6 193
 
2.6%
Other values (18) 371
 
5.0%
Hangul
ValueCountFrequency (%)
성 1150
12.0%
원 771
 
8.0%
리 764
 
7.9%
도 750
 
7.8%
고 742
 
7.7%
강 737
 
7.7%
군 737
 
7.7%
진 463
 
4.8%
면 410
 
4.3%
읍 328
 
3.4%
Other values (213) 2759
28.7%

인허가일자
Date

Distinct680
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
Minimum1969-02-20 00:00:00
Maximum2020-09-29 00:00:00
2023-12-12T08:39:09.830781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:39:09.983968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업자시작일
Date

Distinct643
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
Minimum1971-11-01 00:00:00
Maximum2020-10-20 00:00:00
2023-12-12T08:39:10.189384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:39:10.342012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지전화
Text

MISSING 

Distinct514
Distinct (%)94.5%
Missing239
Missing (%)30.5%
Memory size6.2 KiB
2023-12-12T08:39:10.614796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.005515
Min length12

Characters and Unicode

Total characters6531
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

Unique501 ?
Unique (%)92.1%

Sample

1st row033-682-2260
2nd row033-681-4735
3rd row033-636-5970
4th row033-633-5926
5th row033-681-0903
ValueCountFrequency (%)
033-638-5362 7
 
1.3%
033-639-8441 6
 
1.1%
033-639-3611 5
 
0.9%
033-636-1096 4
 
0.7%
033-630-6300 4
 
0.7%
033-680-7800 3
 
0.6%
033-631-3811 2
 
0.4%
033-681-1213 2
 
0.4%
033-635-3006 2
 
0.4%
033-631-9331 2
 
0.4%
Other values (504) 507
93.2%
2023-12-12T08:39:11.034577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1621
24.8%
- 1088
16.7%
0 868
13.3%
6 749
11.5%
8 582
 
8.9%
1 441
 
6.8%
2 396
 
6.1%
9 224
 
3.4%
5 212
 
3.2%
7 201
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5443
83.3%
Dash Punctuation 1088
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1621
29.8%
0 868
15.9%
6 749
13.8%
8 582
 
10.7%
1 441
 
8.1%
2 396
 
7.3%
9 224
 
4.1%
5 212
 
3.9%
7 201
 
3.7%
4 149
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 1088
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6531
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1621
24.8%
- 1088
16.7%
0 868
13.3%
6 749
11.5%
8 582
 
8.9%
1 441
 
6.8%
2 396
 
6.1%
9 224
 
3.4%
5 212
 
3.2%
7 201
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6531
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1621
24.8%
- 1088
16.7%
0 868
13.3%
6 749
11.5%
8 582
 
8.9%
1 441
 
6.8%
2 396
 
6.1%
9 224
 
3.4%
5 212
 
3.2%
7 201
 
3.1%

업종명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
일반음식점
654 
휴게음식점
117 
제과점영업
 
12

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 654
83.5%
휴게음식점 117
 
14.9%
제과점영업 12
 
1.5%

Length

2023-12-12T08:39:11.249914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:39:11.389610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 654
83.5%
휴게음식점 117
 
14.9%
제과점영업 12
 
1.5%

업태명
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
한식
321 
횟집
80 
기타
56 
커피숍
47 
호프/통닭
38 
Other values (20)
241 

Length

Max length10
Median length2
Mean length3.109834
Min length2

Unique

Unique3 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
한식 321
41.0%
횟집 80
 
10.2%
기타 56
 
7.2%
커피숍 47
 
6.0%
호프/통닭 38
 
4.9%
식육(숯불구이) 30
 
3.8%
분식 27
 
3.4%
중국식 23
 
2.9%
정종/대포집/소주방 19
 
2.4%
편의점 19
 
2.4%
Other values (15) 123
 
15.7%

Length

2023-12-12T08:39:11.538603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 321
40.0%
횟집 80
 
10.0%
기타 75
 
9.4%
커피숍 47
 
5.9%
호프/통닭 38
 
4.7%
식육(숯불구이 30
 
3.7%
분식 27
 
3.4%
중국식 23
 
2.9%
정종/대포집/소주방 19
 
2.4%
편의점 19
 
2.4%
Other values (15) 123
 
15.3%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2020-10-20
783 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-10-20
2nd row2020-10-20
3rd row2020-10-20
4th row2020-10-20
5th row2020-10-20

Common Values

ValueCountFrequency (%)
2020-10-20 783
100.0%

Length

2023-12-12T08:39:11.666080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:39:11.758286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-10-20 783
100.0%

Correlations

2023-12-12T08:39:11.817765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명업태명
업종명1.0000.996
업태명0.9961.000
2023-12-12T08:39:12.141324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명업태명
업종명1.0000.981
업태명0.9811.000
2023-12-12T08:39:12.234361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명업태명
업종명1.0000.981
업태명0.9811.000

Missing values

2023-12-12T08:39:07.054599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:39:07.199610image/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.
2023-12-12T08:39:07.323973image/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

업소명소재지(도로명)소재지(지번)인허가일자영업자시작일소재지전화업종명업태명기준일자
0가마솥 소머리&순대국강원도 고성군 간성읍 간성로 75강원도 고성군 간성읍 하리 22-21969-02-202016-09-23<NA>일반음식점한식2020-10-20
1한일식당강원도 고성군 거진읍 거진길 48강원도 고성군 거진읍 48-581971-11-011971-11-01033-682-2260일반음식점한식2020-10-20
2진부령식당강원도 고성군 간성읍 진부령로 662강원도 고성군 간성읍 662-01973-06-161995-03-15033-681-4735일반음식점한식2020-10-20
3신설식당강원도 고성군 토성면 천진1길 3강원도 고성군 토성면 천진리 179-171974-04-232011-09-08033-636-5970일반음식점한식2020-10-20
4형제식당강원도 고성군 토성면 아야진1길 14강원도 고성군 토성면 아야진리 0-141974-12-052005-05-31033-633-5926일반음식점한식2020-10-20
5종로묵은지감자탕강원도 고성군 간성읍 간성로 69강원도 고성군 간성읍 하리 21-81975-09-182010-08-16033-681-0903일반음식점한식2020-10-20
6삼거리기사식당강원도 고성군 거진읍 대대3길 7강원도 고성군 거진읍 대대리 300-6 2통1반1976-03-172002-12-02033-682-4458일반음식점한식2020-10-20
7장미경양식강원도 고성군 거진읍 거진길 37-1강원도 고성군 거진읍 거진리 427-25 7통8반1979-10-022020-10-14033-682-2084일반음식점경양식2020-10-20
8만리장성강원도 고성군 토성면 교암길 69강원도 고성군 토성면 교암리 43-9 2통1981-12-242010-01-18033-632-1520일반음식점한식2020-10-20
9군청구내식당강원도 고성군 간성읍 고성중앙길 9강원도 고성군 간성읍 하리 121982-02-252018-01-05033-680-3589일반음식점한식2020-10-20
업소명소재지(도로명)소재지(지번)인허가일자영업자시작일소재지전화업종명업태명기준일자
773파리바게트강원도 고성군 거진읍 거진길 40강원도 고성군 거진읍 거진리 281-52000-12-192000-12-19033-682-2316제과점영업제과점영업2020-10-20
774파리바게트강원도 고성군 간성읍 간성로 37-1강원도 고성군 간성읍 신안리 2452004-08-242012-04-25033-681-8910제과점영업제과점영업2020-10-20
775베이커리앤카페(BAKERY&CAFE)강원도 고성군 토성면 미시령옛길 1153<NA>2012-08-082019-11-01033-639-8441제과점영업제과점영업2020-10-20
776스타트하우스 제과점강원도 고성군 토성면 미시령옛길 1153<NA>2013-03-262019-11-01033-639-8444제과점영업제과점영업2020-10-20
777바다정원 신관 베이커리강원도 고성군 토성면 버리깨길 23강원도 고성군 토성면 용촌리 75-362016-04-082020-04-21033-636-1096제과점영업제과점영업2020-10-20
778빵굼터강원도 고성군 토성면 천진1길 11 (농협하나로마트 내)강원도 고성군 토성면 천진리 161-22017-09-042017-09-04033-633-5839제과점영업제과점영업2020-10-20
779스퀘어루트 베이커리강원도 고성군 죽왕면 가향길 2-10강원도 고성군 죽왕면 가진리 2712018-08-272019-10-31<NA>제과점영업제과점영업2020-10-20
780빵드림강원도 고성군 간성읍 간성로 65-1강원도 고성군 간성읍 하리 19-22019-04-302019-04-30<NA>제과점영업제과점영업2020-10-20
781고성군 로컬푸드 베이커리강원도 고성군 토성면 동해대로 4830-5강원도 고성군 토성면 봉포리 40-192020-05-082020-05-08033-635-9399제과점영업제과점영업2020-10-20
782바다정원 캬라멜하우스 베이커리강원도 고성군 토성면 버리깨길 31, 바다정원강원도 고성군 토성면 용촌리 59-1 바다정원2020-07-312020-07-31033-636-1096제과점영업제과점영업2020-10-20