Overview

Dataset statistics

Number of variables9
Number of observations626
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory45.4 KiB
Average record size in memory74.2 B

Variable types

Numeric2
Categorical2
DateTime2
Text3

Dataset

Description인천광역시 옹진군 소재 일반음식점 현황<br/>(업종명, 인허가일자, 업소명, 소재지, 영업장면적, 전화, 업태명)의<br/>데이터를 제공합니다
Author인천광역시 옹진군
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15035885&srcSe=7661IVAWM27C61E190

Alerts

업종명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-18 02:57:47.520592
Analysis finished2024-03-18 02:57:48.766338
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct626
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean313.5
Minimum1
Maximum626
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 KiB
2024-03-18T11:57:48.820966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile32.25
Q1157.25
median313.5
Q3469.75
95-th percentile594.75
Maximum626
Range625
Interquartile range (IQR)312.5

Descriptive statistics

Standard deviation180.85491
Coefficient of variation (CV)0.57688968
Kurtosis-1.2
Mean313.5
Median Absolute Deviation (MAD)156.5
Skewness0
Sum196251
Variance32708.5
MonotonicityStrictly increasing
2024-03-18T11:57:48.929434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
422 1
 
0.2%
415 1
 
0.2%
416 1
 
0.2%
417 1
 
0.2%
418 1
 
0.2%
419 1
 
0.2%
420 1
 
0.2%
421 1
 
0.2%
423 1
 
0.2%
Other values (616) 616
98.4%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
626 1
0.2%
625 1
0.2%
624 1
0.2%
623 1
0.2%
622 1
0.2%
621 1
0.2%
620 1
0.2%
619 1
0.2%
618 1
0.2%
617 1
0.2%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
일반음식점
626 

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 626
100.0%

Length

2024-03-18T11:57:49.034715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T11:57:49.119605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 626
100.0%

인허가일자
Date

Distinct542
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
Minimum1984-05-21 00:00:00
Maximum2023-08-11 00:00:00
2024-03-18T11:57:49.477860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:57:49.608615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct615
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2024-03-18T11:57:49.841560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length17
Mean length5.4552716
Min length1

Characters and Unicode

Total characters3415
Distinct characters484
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique604 ?
Unique (%)96.5%

Sample

1st row미영식당
2nd row25시연장전
3rd row장미식당
4th row카페우리
5th row충북회집
ValueCountFrequency (%)
식당 13
 
1.7%
카페 9
 
1.1%
백령도점 4
 
0.5%
아일랜드 4
 
0.5%
섬 3
 
0.4%
백령점 3
 
0.4%
바다 3
 
0.4%
영흥 3
 
0.4%
장경리 2
 
0.3%
cafe 2
 
0.3%
Other values (710) 738
94.1%
2024-03-18T11:57:50.212439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
158
 
4.6%
식 120
 
3.5%
당 112
 
3.3%
이 63
 
1.8%
집 60
 
1.8%
네 51
 
1.5%
바 50
 
1.5%
가 46
 
1.3%
리 46
 
1.3%
수 41
 
1.2%
Other values (474) 2668
78.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3017
88.3%
Space Separator 158
 
4.6%
Uppercase Letter 74
 
2.2%
Lowercase Letter 62
 
1.8%
Decimal Number 27
 
0.8%
Other Punctuation 26
 
0.8%
Open Punctuation 24
 
0.7%
Close Punctuation 24
 
0.7%
Math Symbol 2
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 120
 
4.0%
당 112
 
3.7%
이 63
 
2.1%
집 60
 
2.0%
네 51
 
1.7%
바 50
 
1.7%
가 46
 
1.5%
리 46
 
1.5%
수 41
 
1.4%
다 39
 
1.3%
Other values (412) 2389
79.2%
Uppercase Letter
ValueCountFrequency (%)
C 10
13.5%
A 9
12.2%
E 8
10.8%
L 6
 
8.1%
I 5
 
6.8%
S 4
 
5.4%
O 4
 
5.4%
B 4
 
5.4%
H 4
 
5.4%
P 3
 
4.1%
Other values (10) 17
23.0%
Lowercase Letter
ValueCountFrequency (%)
e 11
17.7%
o 9
14.5%
f 5
8.1%
c 5
8.1%
a 5
8.1%
s 4
 
6.5%
h 3
 
4.8%
r 3
 
4.8%
b 3
 
4.8%
k 3
 
4.8%
Other values (9) 11
17.7%
Decimal Number
ValueCountFrequency (%)
1 6
22.2%
2 5
18.5%
5 4
14.8%
8 3
11.1%
0 3
11.1%
6 2
 
7.4%
3 2
 
7.4%
7 1
 
3.7%
4 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
& 11
42.3%
, 5
19.2%
· 3
 
11.5%
' 2
 
7.7%
. 2
 
7.7%
! 1
 
3.8%
＆ 1
 
3.8%
% 1
 
3.8%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
158
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3016
88.3%
Common 262
 
7.7%
Latin 136
 
4.0%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 120
 
4.0%
당 112
 
3.7%
이 63
 
2.1%
집 60
 
2.0%
네 51
 
1.7%
바 50
 
1.7%
가 46
 
1.5%
리 46
 
1.5%
수 41
 
1.4%
다 39
 
1.3%
Other values (411) 2388
79.2%
Latin
ValueCountFrequency (%)
e 11
 
8.1%
C 10
 
7.4%
A 9
 
6.6%
o 9
 
6.6%
E 8
 
5.9%
L 6
 
4.4%
f 5
 
3.7%
c 5
 
3.7%
I 5
 
3.7%
a 5
 
3.7%
Other values (29) 63
46.3%
Common
ValueCountFrequency (%)
158
60.3%
( 24
 
9.2%
) 24
 
9.2%
& 11
 
4.2%
1 6
 
2.3%
, 5
 
1.9%
2 5
 
1.9%
5 4
 
1.5%
· 3
 
1.1%
8 3
 
1.1%
Other values (13) 19
 
7.3%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3016
88.3%
ASCII 394
 
11.5%
None 4
 
0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
158
40.1%
( 24
 
6.1%
) 24
 
6.1%
e 11
 
2.8%
& 11
 
2.8%
C 10
 
2.5%
A 9
 
2.3%
o 9
 
2.3%
E 8
 
2.0%
1 6
 
1.5%
Other values (50) 124
31.5%
Hangul
ValueCountFrequency (%)
식 120
 
4.0%
당 112
 
3.7%
이 63
 
2.1%
집 60
 
2.0%
네 51
 
1.7%
바 50
 
1.7%
가 46
 
1.5%
리 46
 
1.5%
수 41
 
1.4%
다 39
 
1.3%
Other values (411) 2388
79.2%
None
ValueCountFrequency (%)
· 3
75.0%
＆ 1
 
25.0%
CJK
ValueCountFrequency (%)
愛 1
100.0%

소재지(도로명)
Text

Distinct612
Distinct (%)97.9%
Missing1
Missing (%)0.2%
Memory size5.0 KiB
2024-03-18T11:57:50.463094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length45
Mean length26.752
Min length19

Characters and Unicode

Total characters16720
Distinct characters176
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique599 ?
Unique (%)95.8%

Sample

1st row인천광역시 옹진군 연평면 연평로137번길 42
2nd row인천광역시 옹진군 백령면 백령로278번길 38-31
3rd row인천광역시 옹진군 백령면 당후길 31, 장미식당
4th row인천광역시 옹진군 백령면 당후길 13
5th row인천광역시 옹진군 백령면 두무진로 556-19
ValueCountFrequency (%)
인천광역시 625
17.3%
옹진군 625
17.3%
영흥면 266
 
7.3%
백령면 163
 
4.5%
1층 119
 
3.3%
영흥로 87
 
2.4%
백령로 67
 
1.9%
북도면 53
 
1.5%
영흥북로 49
 
1.4%
연평면 47
 
1.3%
Other values (606) 1520
42.0%
2024-03-18T11:57:50.877324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2996
 
17.9%
1 756
 
4.5%
진 664
 
4.0%
시 631
 
3.8%
광 626
 
3.7%
인 625
 
3.7%
천 625
 
3.7%
역 625
 
3.7%
옹 625
 
3.7%
군 625
 
3.7%
Other values (166) 7922
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10213
61.1%
Space Separator 2996
 
17.9%
Decimal Number 2926
 
17.5%
Other Punctuation 261
 
1.6%
Dash Punctuation 204
 
1.2%
Close Punctuation 40
 
0.2%
Open Punctuation 40
 
0.2%
Math Symbol 23
 
0.1%
Uppercase Letter 15
 
0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 664
 
6.5%
시 631
 
6.2%
광 626
 
6.1%
인 625
 
6.1%
천 625
 
6.1%
역 625
 
6.1%
옹 625
 
6.1%
군 625
 
6.1%
면 625
 
6.1%
로 598
 
5.9%
Other values (144) 3944
38.6%
Decimal Number
ValueCountFrequency (%)
1 756
25.8%
2 458
15.7%
3 274
 
9.4%
0 270
 
9.2%
5 227
 
7.8%
4 220
 
7.5%
7 193
 
6.6%
6 185
 
6.3%
9 175
 
6.0%
8 168
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
A 12
80.0%
B 2
 
13.3%
M 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 260
99.6%
/ 1
 
0.4%
Space Separator
ValueCountFrequency (%)
2996
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 204
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Math Symbol
ValueCountFrequency (%)
~ 23
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10213
61.1%
Common 6491
38.8%
Latin 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 664
 
6.5%
시 631
 
6.2%
광 626
 
6.1%
인 625
 
6.1%
천 625
 
6.1%
역 625
 
6.1%
옹 625
 
6.1%
군 625
 
6.1%
면 625
 
6.1%
로 598
 
5.9%
Other values (144) 3944
38.6%
Common
ValueCountFrequency (%)
2996
46.2%
1 756
 
11.6%
2 458
 
7.1%
3 274
 
4.2%
0 270
 
4.2%
, 260
 
4.0%
5 227
 
3.5%
4 220
 
3.4%
- 204
 
3.1%
7 193
 
3.0%
Other values (8) 633
 
9.8%
Latin
ValueCountFrequency (%)
A 12
75.0%
B 2
 
12.5%
M 1
 
6.2%
b 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10213
61.1%
ASCII 6507
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2996
46.0%
1 756
 
11.6%
2 458
 
7.0%
3 274
 
4.2%
0 270
 
4.1%
, 260
 
4.0%
5 227
 
3.5%
4 220
 
3.4%
- 204
 
3.1%
7 193
 
3.0%
Other values (12) 649
 
10.0%
Hangul
ValueCountFrequency (%)
진 664
 
6.5%
시 631
 
6.2%
광 626
 
6.1%
인 625
 
6.1%
천 625
 
6.1%
역 625
 
6.1%
옹 625
 
6.1%
군 625
 
6.1%
면 625
 
6.1%
로 598
 
5.9%
Other values (144) 3944
38.6%

영업장면적
Real number (ℝ)

Distinct505
Distinct (%)80.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.178115
Minimum3.91
Maximum605.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 KiB
2024-03-18T11:57:51.002583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.91
5-th percentile27
Q153.1375
median81.86
Q3126.2875
95-th percentile212.0975
Maximum605.06
Range601.15
Interquartile range (IQR)73.15

Descriptive statistics

Standard deviation67.841437
Coefficient of variation (CV)0.69100366
Kurtosis8.6066097
Mean98.178115
Median Absolute Deviation (MAD)34.42
Skewness2.2217022
Sum61459.5
Variance4602.4606
MonotonicityNot monotonic
2024-03-18T11:57:51.114419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40.32 35
 
5.6%
66.0 9
 
1.4%
162.72 9
 
1.4%
25.67 6
 
1.0%
163.17 5
 
0.8%
198.0 5
 
0.8%
33.0 4
 
0.6%
90.0 3
 
0.5%
131.04 3
 
0.5%
65.52 3
 
0.5%
Other values (495) 544
86.9%
ValueCountFrequency (%)
3.91 1
0.2%
12.01 1
0.2%
14.04 1
0.2%
15.0 1
0.2%
15.84 1
0.2%
16.12 1
0.2%
17.24 1
0.2%
17.4 1
0.2%
20.0 2
0.3%
21.13 1
0.2%
ValueCountFrequency (%)
605.06 1
0.2%
451.5 1
0.2%
419.6 1
0.2%
414.08 1
0.2%
397.74 1
0.2%
386.54 1
0.2%
359.24 1
0.2%
337.32 1
0.2%
326.19 1
0.2%
315.89 1
0.2%

소재지전화
Text

Distinct384
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2024-03-18T11:57:51.363972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.8929712
Min length6

Characters and Unicode

Total characters6193
Distinct characters17
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

Unique361 ?
Unique (%)57.7%

Sample

1st row032-831-4327
2nd row032-836-0125
3rd row032-836-0339
4th row032-836-0333
5th row032-836-1124
ValueCountFrequency (%)
데이터미수집 220
35.1%
032-836-0333 3
 
0.5%
032-836-1124 2
 
0.3%
032-836-5557 2
 
0.3%
032-831-8663 2
 
0.3%
032-832-1178 2
 
0.3%
032-836-2219 2
 
0.3%
032-836-1132 2
 
0.3%
032-832-4253 2
 
0.3%
032-831-1566 2
 
0.3%
Other values (374) 387
61.8%
2024-03-18T11:57:51.799654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 812
13.1%
3 775
12.5%
8 695
11.2%
0 678
10.9%
2 604
9.8%
6 332
 
5.4%
1 242
 
3.9%
이 220
 
3.6%
데 220
 
3.6%
집 220
 
3.6%
Other values (7) 1395
22.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4061
65.6%
Other Letter 1320
 
21.3%
Dash Punctuation 812
 
13.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 775
19.1%
8 695
17.1%
0 678
16.7%
2 604
14.9%
6 332
8.2%
1 242
 
6.0%
5 216
 
5.3%
7 202
 
5.0%
9 178
 
4.4%
4 139
 
3.4%
Other Letter
ValueCountFrequency (%)
이 220
16.7%
데 220
16.7%
집 220
16.7%
수 220
16.7%
미 220
16.7%
터 220
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 812
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4873
78.7%
Hangul 1320
 
21.3%

Most frequent character per script

Common
ValueCountFrequency (%)
- 812
16.7%
3 775
15.9%
8 695
14.3%
0 678
13.9%
2 604
12.4%
6 332
6.8%
1 242
 
5.0%
5 216
 
4.4%
7 202
 
4.1%
9 178
 
3.7%
Hangul
ValueCountFrequency (%)
이 220
16.7%
데 220
16.7%
집 220
16.7%
수 220
16.7%
미 220
16.7%
터 220
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4873
78.7%
Hangul 1320
 
21.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 812
16.7%
3 775
15.9%
8 695
14.3%
0 678
13.9%
2 604
12.4%
6 332
6.8%
1 242
 
5.0%
5 216
 
4.4%
7 202
 
4.1%
9 178
 
3.7%
Hangul
ValueCountFrequency (%)
이 220
16.7%
데 220
16.7%
집 220
16.7%
수 220
16.7%
미 220
16.7%
터 220
16.7%

업태명
Categorical

Distinct19
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
한식
316 
기타
85 
횟집
81 
호프/통닭
42 
분식
 
19
Other values (14)
83 

Length

Max length10
Median length2
Mean length2.5383387
Min length2

Unique

Unique4 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
한식 316
50.5%
기타 85
 
13.6%
횟집 81
 
12.9%
호프/통닭 42
 
6.7%
분식 19
 
3.0%
일식 16
 
2.6%
중국식 15
 
2.4%
정종/대포집/소주방 8
 
1.3%
경양식 8
 
1.3%
식육(숯불구이) 7
 
1.1%
Other values (9) 29
 
4.6%

Length

2024-03-18T11:57:51.934346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 316
50.5%
기타 85
 
13.6%
횟집 81
 
12.9%
호프/통닭 42
 
6.7%
분식 19
 
3.0%
일식 16
 
2.6%
중국식 15
 
2.4%
정종/대포집/소주방 8
 
1.3%
경양식 8
 
1.3%
까페 7
 
1.1%
Other values (9) 29
 
4.6%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
Minimum2023-08-31 00:00:00
Maximum2023-08-31 00:00:00
2024-03-18T11:57:52.023659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:57:52.120902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-18T11:57:48.431253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:57:48.288033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:57:48.506578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:57:48.359916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T11:57:52.241815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번영업장면적업태명
연번1.0000.1610.436
영업장면적0.1611.0000.263
업태명0.4360.2631.000
2024-03-18T11:57:52.334210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번영업장면적업태명
연번1.0000.1240.178
영업장면적0.1241.0000.105
업태명0.1780.1051.000

Missing values

2024-03-18T11:57:48.623471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T11:57:48.726486image/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

연번업종명인허가일자업소명소재지(도로명)영업장면적소재지전화업태명데이터기준일자
01일반음식점1984-05-21미영식당인천광역시 옹진군 연평면 연평로137번길 4233.59032-831-4327한식2023-08-31
12일반음식점1987-06-2625시연장전인천광역시 옹진군 백령면 백령로278번길 38-31138.6032-836-0125한식2023-08-31
23일반음식점1987-06-25장미식당인천광역시 옹진군 백령면 당후길 31, 장미식당85.84032-836-0339한식2023-08-31
34일반음식점1987-06-26카페우리인천광역시 옹진군 백령면 당후길 1328.0032-836-0333기타2023-08-31
45일반음식점1988-11-21충북회집인천광역시 옹진군 백령면 두무진로 556-1954.9032-836-1124일식2023-08-31
56일반음식점1988-11-1163빌딩인천광역시 옹진군 백령면 백령로280번길 17-140.76032-836-1710분식2023-08-31
67일반음식점1988-09-06선미회관인천광역시 옹진군 백령면 당후길 32102.0032-836-1886한식2023-08-31
78일반음식점1988-03-31대성회집인천광역시 옹진군 백령면 두무진로556번길 942.5032-836-0363일식2023-08-31
89일반음식점1989-03-25송림식당인천광역시 옹진군 연평면 연평로167번길 4234.0032-833-1050한식2023-08-31
910일반음식점1989-10-27대청식당인천광역시 옹진군 대청면 대청남로 6-148.31032-836-2124한식2023-08-31
연번업종명인허가일자업소명소재지(도로명)영업장면적소재지전화업태명데이터기준일자
616617일반음식점2023-03-13해바라기 퓨전포차인천광역시 옹진군 덕적면 굴업로 128-27, 일부호36.04데이터미수집호프/통닭2023-08-31
617618일반음식점2023-03-23하늘고래 카페인천광역시 옹진군 영흥면 영흥북로 79, 1층287.0데이터미수집기타2023-08-31
618619일반음식점2023-03-31뉴 마도로스 식당인천광역시 옹진군 연평면 연평로167번길 2, 1층 일부호16.12데이터미수집분식2023-08-31
619620일반음식점2023-05-23투다리 덕적지점인천광역시 옹진군 덕적면 덕적북로 58, 1동 1층71.07데이터미수집기타2023-08-31
620621일반음식점2023-06-15오일장버거&돈까스카레인천광역시 옹진군 연평면 연평로137번길 58, 1층63.08032-834-6820경양식2023-08-31
621622일반음식점2023-06-21거북이네인천광역시 옹진군 영흥면 영흥로 109-12, 라동 37호40.32데이터미수집횟집2023-08-31
622623일반음식점2023-06-21방가네인천광역시 옹진군 영흥면 선재로 289, 가동 4호78.65데이터미수집한식2023-08-31
623624일반음식점2023-06-21춘향이네인천광역시 옹진군 영흥면 영흥로 109-12, 라동 40호40.32데이터미수집횟집2023-08-31
624625일반음식점2023-07-13해변의 여인인천광역시 옹진군 영흥면 영흥북로 420-11, 1층109.41데이터미수집한식2023-08-31
625626일반음식점2023-08-11보은인천광역시 옹진군 영흥면 영흥서로 355-49, 1동 1층 일부호23.65032-880-8441한식2023-08-31