Overview

Dataset statistics

Number of variables11
Number of observations5401
Missing cells51
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory469.6 KiB
Average record size in memory89.0 B

Variable types

Numeric1
Categorical5
DateTime2
Text3

Dataset

Description경상남도 거제시 식품위생업소 현황(업종명, 업소명, 인허가일자, 영업자시작일, 주소, 전화번호, 급수시설, 업태명, 좌표, 데이터기준일)등에 대한 정보를 제공합니다.
Author경상남도 거제시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3079230

Alerts

영업상태 has constant value ""Constant
데이터기준일 has constant value ""Constant
업태명 is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 업종명High correlation
업종명 is highly imbalanced (53.2%)Imbalance
급수시설 is highly imbalanced (80.8%)Imbalance
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:51:45.377593
Analysis finished2023-12-10 23:51:47.316477
Duration1.94 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct5401
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2701
Minimum1
Maximum5401
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.6 KiB
2023-12-11T08:51:47.406772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile271
Q11351
median2701
Q34051
95-th percentile5131
Maximum5401
Range5400
Interquartile range (IQR)2700

Descriptive statistics

Standard deviation1559.2787
Coefficient of variation (CV)0.57729683
Kurtosis-1.2
Mean2701
Median Absolute Deviation (MAD)1350
Skewness0
Sum14588101
Variance2431350.2
MonotonicityStrictly increasing
2023-12-11T08:51:47.577724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3599 1
 
< 0.1%
3607 1
 
< 0.1%
3606 1
 
< 0.1%
3605 1
 
< 0.1%
3604 1
 
< 0.1%
3603 1
 
< 0.1%
3602 1
 
< 0.1%
3601 1
 
< 0.1%
3600 1
 
< 0.1%
Other values (5391) 5391
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
5401 1
< 0.1%
5400 1
< 0.1%
5399 1
< 0.1%
5398 1
< 0.1%
5397 1
< 0.1%
5396 1
< 0.1%
5395 1
< 0.1%
5394 1
< 0.1%
5393 1
< 0.1%
5392 1
< 0.1%

업종명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size42.3 KiB
일반음식점
4074 
휴게음식점
749 
유흥주점영업
 
368
제과점영업
 
81
위탁급식영업
 
69

Length

Max length6
Median length5
Mean length5.0698019
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 4074
75.4%
휴게음식점 749
 
13.9%
유흥주점영업 368
 
6.8%
제과점영업 81
 
1.5%
위탁급식영업 69
 
1.3%
단란주점 60
 
1.1%

Length

2023-12-11T08:51:47.747150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:51:47.879811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 4074
75.4%
휴게음식점 749
 
13.9%
유흥주점영업 368
 
6.8%
제과점영업 81
 
1.5%
위탁급식영업 69
 
1.3%
단란주점 60
 
1.1%

인허가일자
Date

Distinct3383
Distinct (%)62.6%
Missing0
Missing (%)0.0%
Memory size42.3 KiB
Minimum1964-10-31 00:00:00
Maximum2019-03-13 00:00:00
2023-12-11T08:51:48.009915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:51:48.159836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct5190
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size42.3 KiB
2023-12-11T08:51:48.454248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length6.687095
Min length1

Characters and Unicode

Total characters36117
Distinct characters921
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5013 ?
Unique (%)92.8%

Sample

1st row천화원
2nd row해중식당
3rd row만리향
4th row연화횟집
5th row부산횟집
ValueCountFrequency (%)
거제고현점 47
 
0.7%
거제점 45
 
0.7%
고현점 43
 
0.7%
옥포점 43
 
0.7%
장평점 37
 
0.6%
세븐일레븐 35
 
0.5%
아주점 32
 
0.5%
지에스25 27
 
0.4%
gs25 26
 
0.4%
상동점 23
 
0.4%
Other values (5290) 6022
94.4%
2023-12-11T08:51:48.901408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 1415
 
3.9%
984
 
2.7%
( 746
 
2.1%
) 746
 
2.1%
제 658
 
1.8%
이 627
 
1.7%
거 608
 
1.7%
스 575
 
1.6%
식 555
 
1.5%
리 493
 
1.4%
Other values (911) 28710
79.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31528
87.3%
Space Separator 984
 
2.7%
Uppercase Letter 794
 
2.2%
Open Punctuation 746
 
2.1%
Close Punctuation 746
 
2.1%
Lowercase Letter 674
 
1.9%
Decimal Number 495
 
1.4%
Other Punctuation 139
 
0.4%
Dash Punctuation 9
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1415
 
4.5%
제 658
 
2.1%
이 627
 
2.0%
거 608
 
1.9%
스 575
 
1.8%
식 555
 
1.8%
리 493
 
1.6%
주 488
 
1.5%
장 459
 
1.5%
당 443
 
1.4%
Other values (834) 25207
80.0%
Lowercase Letter
ValueCountFrequency (%)
e 87
12.9%
a 86
 
12.8%
o 62
 
9.2%
r 49
 
7.3%
f 32
 
4.7%
n 30
 
4.5%
i 30
 
4.5%
t 28
 
4.2%
h 27
 
4.0%
l 27
 
4.0%
Other values (16) 216
32.0%
Uppercase Letter
ValueCountFrequency (%)
C 85
 
10.7%
S 71
 
8.9%
A 65
 
8.2%
G 58
 
7.3%
O 56
 
7.1%
B 56
 
7.1%
E 55
 
6.9%
H 35
 
4.4%
T 35
 
4.4%
L 32
 
4.0%
Other values (16) 246
31.0%
Decimal Number
ValueCountFrequency (%)
2 135
27.3%
5 101
20.4%
1 66
13.3%
0 62
12.5%
7 27
 
5.5%
8 27
 
5.5%
6 23
 
4.6%
9 22
 
4.4%
4 17
 
3.4%
3 15
 
3.0%
Other Punctuation
ValueCountFrequency (%)
& 64
46.0%
. 47
33.8%
, 13
 
9.4%
# 6
 
4.3%
! 3
 
2.2%
: 2
 
1.4%
· 2
 
1.4%
/ 1
 
0.7%
% 1
 
0.7%
Space Separator
ValueCountFrequency (%)
984
100.0%
Open Punctuation
ValueCountFrequency (%)
( 746
100.0%
Close Punctuation
ValueCountFrequency (%)
) 746
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Modifier Symbol
ValueCountFrequency (%)
˚ 1
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31508
87.2%
Common 3121
 
8.6%
Latin 1468
 
4.1%
Han 20
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1415
 
4.5%
제 658
 
2.1%
이 627
 
2.0%
거 608
 
1.9%
스 575
 
1.8%
식 555
 
1.8%
리 493
 
1.6%
주 488
 
1.5%
장 459
 
1.5%
당 443
 
1.4%
Other values (816) 25187
79.9%
Latin
ValueCountFrequency (%)
e 87
 
5.9%
a 86
 
5.9%
C 85
 
5.8%
S 71
 
4.8%
A 65
 
4.4%
o 62
 
4.2%
G 58
 
4.0%
O 56
 
3.8%
B 56
 
3.8%
E 55
 
3.7%
Other values (42) 787
53.6%
Common
ValueCountFrequency (%)
984
31.5%
( 746
23.9%
) 746
23.9%
2 135
 
4.3%
5 101
 
3.2%
1 66
 
2.1%
& 64
 
2.1%
0 62
 
2.0%
. 47
 
1.5%
7 27
 
0.9%
Other values (15) 143
 
4.6%
Han
ValueCountFrequency (%)
辛 2
 
10.0%
新 2
 
10.0%
十 1
 
5.0%
九 1
 
5.0%
生 1
 
5.0%
大 1
 
5.0%
林 1
 
5.0%
人 1
 
5.0%
火 1
 
5.0%
多 1
 
5.0%
Other values (8) 8
40.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31508
87.2%
ASCII 4585
 
12.7%
CJK 20
 
0.1%
None 2
 
< 0.1%
Modifier Letters 1
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 1415
 
4.5%
제 658
 
2.1%
이 627
 
2.0%
거 608
 
1.9%
스 575
 
1.8%
식 555
 
1.8%
리 493
 
1.6%
주 488
 
1.5%
장 459
 
1.5%
당 443
 
1.4%
Other values (816) 25187
79.9%
ASCII
ValueCountFrequency (%)
984
21.5%
( 746
16.3%
) 746
16.3%
2 135
 
2.9%
5 101
 
2.2%
e 87
 
1.9%
a 86
 
1.9%
C 85
 
1.9%
S 71
 
1.5%
1 66
 
1.4%
Other values (64) 1478
32.2%
None
ValueCountFrequency (%)
· 2
100.0%
CJK
ValueCountFrequency (%)
辛 2
 
10.0%
新 2
 
10.0%
十 1
 
5.0%
九 1
 
5.0%
生 1
 
5.0%
大 1
 
5.0%
林 1
 
5.0%
人 1
 
5.0%
火 1
 
5.0%
多 1
 
5.0%
Other values (8) 8
40.0%
Modifier Letters
ValueCountFrequency (%)
˚ 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

소재지(도로명)
Text

Distinct4894
Distinct (%)91.3%
Missing43
Missing (%)0.8%
Memory size42.3 KiB
2023-12-11T08:51:49.217309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length60
Mean length28.85349
Min length18

Characters and Unicode

Total characters154597
Distinct characters359
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4540 ?
Unique (%)84.7%

Sample

1st row경상남도 거제시 신부로 2-4 (장승포동)
2nd row경상남도 거제시 신부로1길 6 (장승포동)
3rd row경상남도 거제시 일운면 지세포로 96-1
4th row경상남도 거제시 일운면 구조라로 38
5th row경상남도 거제시 일운면 구조라로 36
ValueCountFrequency (%)
경상남도 5358
 
16.9%
거제시 5358
 
16.9%
1층 2032
 
6.4%
고현동 934
 
3.0%
옥포동 629
 
2.0%
장평동 450
 
1.4%
아주동 369
 
1.2%
2층 367
 
1.2%
거제중앙로 263
 
0.8%
일운면 257
 
0.8%
Other values (2648) 15621
49.4%
2023-12-11T08:51:49.633988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26285
 
17.0%
1 8588
 
5.6%
제 6715
 
4.3%
거 6675
 
4.3%
상 5952
 
3.9%
( 5612
 
3.6%
) 5610
 
3.6%
남 5559
 
3.6%
시 5456
 
3.5%
도 5410
 
3.5%
Other values (349) 72735
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 86156
55.7%
Space Separator 26285
 
17.0%
Decimal Number 24969
 
16.2%
Open Punctuation 5612
 
3.6%
Close Punctuation 5610
 
3.6%
Other Punctuation 4510
 
2.9%
Dash Punctuation 1234
 
0.8%
Uppercase Letter 137
 
0.1%
Math Symbol 68
 
< 0.1%
Lowercase Letter 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 6715
 
7.8%
거 6675
 
7.7%
상 5952
 
6.9%
남 5559
 
6.5%
시 5456
 
6.3%
도 5410
 
6.3%
동 5395
 
6.3%
경 5369
 
6.2%
로 4739
 
5.5%
층 3520
 
4.1%
Other values (313) 31366
36.4%
Uppercase Letter
ValueCountFrequency (%)
B 62
45.3%
A 40
29.2%
C 6
 
4.4%
F 4
 
2.9%
P 4
 
2.9%
D 4
 
2.9%
J 3
 
2.2%
I 3
 
2.2%
R 3
 
2.2%
K 3
 
2.2%
Other values (5) 5
 
3.6%
Decimal Number
ValueCountFrequency (%)
1 8588
34.4%
2 3827
15.3%
3 2494
 
10.0%
0 1970
 
7.9%
4 1906
 
7.6%
5 1599
 
6.4%
6 1356
 
5.4%
7 1130
 
4.5%
8 1093
 
4.4%
9 1006
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 4480
99.3%
. 27
 
0.6%
@ 2
 
< 0.1%
/ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
26285
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5612
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5610
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1234
100.0%
Math Symbol
ValueCountFrequency (%)
~ 68
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 15
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 86156
55.7%
Common 68288
44.2%
Latin 153
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 6715
 
7.8%
거 6675
 
7.7%
상 5952
 
6.9%
남 5559
 
6.5%
시 5456
 
6.3%
도 5410
 
6.3%
동 5395
 
6.3%
경 5369
 
6.2%
로 4739
 
5.5%
층 3520
 
4.1%
Other values (313) 31366
36.4%
Common
ValueCountFrequency (%)
26285
38.5%
1 8588
 
12.6%
( 5612
 
8.2%
) 5610
 
8.2%
, 4480
 
6.6%
2 3827
 
5.6%
3 2494
 
3.7%
0 1970
 
2.9%
4 1906
 
2.8%
5 1599
 
2.3%
Other values (9) 5917
 
8.7%
Latin
ValueCountFrequency (%)
B 62
40.5%
A 40
26.1%
e 15
 
9.8%
C 6
 
3.9%
F 4
 
2.6%
P 4
 
2.6%
D 4
 
2.6%
J 3
 
2.0%
I 3
 
2.0%
R 3
 
2.0%
Other values (7) 9
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 86156
55.7%
ASCII 68440
44.3%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26285
38.4%
1 8588
 
12.5%
( 5612
 
8.2%
) 5610
 
8.2%
, 4480
 
6.5%
2 3827
 
5.6%
3 2494
 
3.6%
0 1970
 
2.9%
4 1906
 
2.8%
5 1599
 
2.3%
Other values (25) 6069
 
8.9%
Hangul
ValueCountFrequency (%)
제 6715
 
7.8%
거 6675
 
7.7%
상 5952
 
6.9%
남 5559
 
6.5%
시 5456
 
6.3%
도 5410
 
6.3%
동 5395
 
6.3%
경 5369
 
6.2%
로 4739
 
5.5%
층 3520
 
4.1%
Other values (313) 31366
36.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지(지번)
Text

Distinct4626
Distinct (%)85.8%
Missing8
Missing (%)0.1%
Memory size42.3 KiB
2023-12-11T08:51:49.987655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length58
Mean length25.539959
Min length16

Characters and Unicode

Total characters137737
Distinct characters335
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4101 ?
Unique (%)76.0%

Sample

1st row경상남도 거제시 장승포동 232번지 29호
2nd row경상남도 거제시 장승포동 283번지 18호
3rd row경상남도 거제시 일운면 지세포리 935번지 3호
4th row경상남도 거제시 일운면 구조라리 81번지
5th row경상남도 거제시 일운면 구조라리 80번지
ValueCountFrequency (%)
경상남도 5393
 
17.6%
거제시 5393
 
17.6%
고현동 1287
 
4.2%
1층 1141
 
3.7%
옥포동 900
 
2.9%
장평동 647
 
2.1%
1호 640
 
2.1%
2호 474
 
1.5%
아주동 401
 
1.3%
3호 340
 
1.1%
Other values (2189) 14090
45.9%
2023-12-11T08:51:50.495406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25401
18.4%
1 7520
 
5.5%
지 5882
 
4.3%
상 5820
 
4.2%
제 5640
 
4.1%
거 5632
 
4.1%
시 5528
 
4.0%
남 5508
 
4.0%
도 5461
 
4.0%
경 5402
 
3.9%
Other values (325) 59943
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 81148
58.9%
Decimal Number 27825
 
20.2%
Space Separator 25401
 
18.4%
Close Punctuation 1468
 
1.1%
Open Punctuation 1466
 
1.1%
Other Punctuation 177
 
0.1%
Uppercase Letter 103
 
0.1%
Dash Punctuation 89
 
0.1%
Math Symbol 46
 
< 0.1%
Lowercase Letter 12
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 5882
 
7.2%
상 5820
 
7.2%
제 5640
 
7.0%
거 5632
 
6.9%
시 5528
 
6.8%
남 5508
 
6.8%
도 5461
 
6.7%
경 5402
 
6.7%
번 5394
 
6.6%
호 5100
 
6.3%
Other values (288) 25781
31.8%
Uppercase Letter
ValueCountFrequency (%)
B 47
45.6%
A 20
19.4%
C 6
 
5.8%
L 5
 
4.9%
F 5
 
4.9%
R 3
 
2.9%
K 3
 
2.9%
P 3
 
2.9%
I 3
 
2.9%
J 2
 
1.9%
Other values (5) 6
 
5.8%
Decimal Number
ValueCountFrequency (%)
1 7520
27.0%
2 3242
11.7%
0 2458
 
8.8%
9 2434
 
8.7%
3 2433
 
8.7%
5 2217
 
8.0%
6 2163
 
7.8%
4 2113
 
7.6%
7 1652
 
5.9%
8 1593
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 145
81.9%
. 29
 
16.4%
@ 2
 
1.1%
/ 1
 
0.6%
Space Separator
ValueCountFrequency (%)
25401
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1468
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1466
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 89
100.0%
Math Symbol
ValueCountFrequency (%)
~ 46
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 12
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 81148
58.9%
Common 56473
41.0%
Latin 116
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 5882
 
7.2%
상 5820
 
7.2%
제 5640
 
7.0%
거 5632
 
6.9%
시 5528
 
6.8%
남 5508
 
6.8%
도 5461
 
6.7%
경 5402
 
6.7%
번 5394
 
6.6%
호 5100
 
6.3%
Other values (288) 25781
31.8%
Common
ValueCountFrequency (%)
25401
45.0%
1 7520
 
13.3%
2 3242
 
5.7%
0 2458
 
4.4%
9 2434
 
4.3%
3 2433
 
4.3%
5 2217
 
3.9%
6 2163
 
3.8%
4 2113
 
3.7%
7 1652
 
2.9%
Other values (10) 4840
 
8.6%
Latin
ValueCountFrequency (%)
B 47
40.5%
A 20
17.2%
e 12
 
10.3%
C 6
 
5.2%
L 5
 
4.3%
F 5
 
4.3%
R 3
 
2.6%
K 3
 
2.6%
P 3
 
2.6%
I 3
 
2.6%
Other values (7) 9
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 81148
58.9%
ASCII 56588
41.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25401
44.9%
1 7520
 
13.3%
2 3242
 
5.7%
0 2458
 
4.3%
9 2434
 
4.3%
3 2433
 
4.3%
5 2217
 
3.9%
6 2163
 
3.8%
4 2113
 
3.7%
7 1652
 
2.9%
Other values (26) 4955
 
8.8%
Hangul
ValueCountFrequency (%)
지 5882
 
7.2%
상 5820
 
7.2%
제 5640
 
7.0%
거 5632
 
6.9%
시 5528
 
6.8%
남 5508
 
6.8%
도 5461
 
6.7%
경 5402
 
6.7%
번 5394
 
6.6%
호 5100
 
6.3%
Other values (288) 25781
31.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

영업자시작일
Date

Distinct2217
Distinct (%)41.0%
Missing0
Missing (%)0.0%
Memory size42.3 KiB
Minimum1970-09-08 00:00:00
Maximum2019-03-13 00:00:00
2023-12-11T08:51:50.648455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:51:50.792782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태명
Categorical

HIGH CORRELATION 

Distinct44
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size42.3 KiB
한식
1292 
식육(숯불구이)
551 
호프/통닭
453 
회집
391 
정종/대포집/소주방
280 
Other values (39)
2434 

Length

Max length15
Median length12
Mean length4.0801703
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
한식 1292
23.9%
식육(숯불구이) 551
10.2%
호프/통닭 453
 
8.4%
회집 391
 
7.2%
정종/대포집/소주방 280
 
5.2%
커피숍 255
 
4.7%
룸살롱 253
 
4.7%
기타 220
 
4.1%
분식 204
 
3.8%
편의점 178
 
3.3%
Other values (34) 1324
24.5%

Length

2023-12-11T08:51:51.345110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 1292
23.6%
식육(숯불구이 551
10.1%
호프/통닭 453
 
8.3%
회집 391
 
7.1%
기타 292
 
5.3%
정종/대포집/소주방 280
 
5.1%
커피숍 255
 
4.7%
룸살롱 253
 
4.6%
분식 204
 
3.7%
편의점 178
 
3.3%
Other values (34) 1324
24.2%

급수시설
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size42.3 KiB
상수도전용
5058 
지하수전용
 
182
상수도(음용)지하수(주방용)겸용
 
92
<NA>
 
47
간이상수도
 
22

Length

Max length17
Median length5
Mean length5.1957045
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 5058
93.6%
지하수전용 182
 
3.4%
상수도(음용)지하수(주방용)겸용 92
 
1.7%
<NA> 47
 
0.9%
간이상수도 22
 
0.4%

Length

2023-12-11T08:51:51.572735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:51:51.706198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 5058
93.6%
지하수전용 182
 
3.4%
상수도(음용)지하수(주방용)겸용 92
 
1.7%
na 47
 
0.9%
간이상수도 22
 
0.4%

영업상태
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size42.3 KiB
운영중
5401 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 5401
100.0%

Length

2023-12-11T08:51:51.839851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:51:51.951113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 5401
100.0%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size42.3 KiB
2020-03-16
5401 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-03-16
2nd row2020-03-16
3rd row2020-03-16
4th row2020-03-16
5th row2020-03-16

Common Values

ValueCountFrequency (%)
2020-03-16 5401
100.0%

Length

2023-12-11T08:51:52.070941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:51:52.171781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-03-16 5401
100.0%

Interactions

2023-12-11T08:51:46.711765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:51:52.250977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명업태명급수시설
연번1.0000.7600.7980.085
업종명0.7601.0000.9970.066
업태명0.7980.9971.0000.141
급수시설0.0850.0660.1411.000
2023-12-11T08:51:52.361112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업태명업종명급수시설
업태명1.0000.9760.072
업종명0.9761.0000.043
급수시설0.0720.0431.000
2023-12-11T08:51:52.490417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명업태명급수시설
연번1.0000.5340.4210.051
업종명0.5341.0000.9760.043
업태명0.4210.9761.0000.072
급수시설0.0510.0430.0721.000

Missing values

2023-12-11T08:51:46.898402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:51:47.089758image/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.
2023-12-11T08:51:47.232520image/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

연번업종명인허가일자업소명소재지(도로명)소재지(지번)영업자시작일업태명급수시설영업상태데이터기준일
01일반음식점1970-07-08천화원경상남도 거제시 신부로 2-4 (장승포동)경상남도 거제시 장승포동 232번지 29호2016-06-08중국식상수도전용운영중2020-03-16
12일반음식점1972-09-16해중식당경상남도 거제시 신부로1길 6 (장승포동)경상남도 거제시 장승포동 283번지 18호2005-12-05한식상수도전용운영중2020-03-16
23일반음식점1972-05-22만리향경상남도 거제시 일운면 지세포로 96-1경상남도 거제시 일운면 지세포리 935번지 3호1972-05-22중국식상수도전용운영중2020-03-16
34일반음식점1973-11-16연화횟집경상남도 거제시 일운면 구조라로 38경상남도 거제시 일운면 구조라리 81번지2015-10-05회집상수도전용운영중2020-03-16
45일반음식점1973-05-04부산횟집경상남도 거제시 일운면 구조라로 36경상남도 거제시 일운면 구조라리 80번지1973-05-04회집상수도전용운영중2020-03-16
56일반음식점1973-12-29보영반점<NA>경상남도 거제시 장목면 장목리 302번지2009-03-18중국식상수도전용운영중2020-03-16
67일반음식점1974-07-15왔다반점경상남도 거제시 두모길 10 (두모동)경상남도 거제시 두모동 365번지 1호2010-03-19중국식상수도전용운영중2020-03-16
78일반음식점1976-04-20청포횟집경상남도 거제시 장승포로 117 (장승포동)경상남도 거제시 장승포동 166번지1976-04-20회집상수도전용운영중2020-03-16
89일반음식점1976-07-06종점식당<NA>경상남도 거제시 사등면 성포리 351번지2013-03-29한식상수도전용운영중2020-03-16
910일반음식점1976-01-23평화횟집경상남도 거제시 사등면 성포로3길 12경상남도 거제시 사등면 성포리 350번지 10호1976-01-23회집상수도전용운영중2020-03-16
연번업종명인허가일자업소명소재지(도로명)소재지(지번)영업자시작일업태명급수시설영업상태데이터기준일
53915392제과점영업2017-08-02하나로베이커리경상남도 거제시 하청면 하청로 34경상남도 거제시 하청면 하청리 604번지 4호2017-08-02제과점영업상수도전용운영중2020-03-16
53925393제과점영업2017-09-19블럭제빵소(상동점)경상남도 거제시 상동5길 117-40, 1층 107호 (상동동, 상동프라자)경상남도 거제시 상동동 931번지 19호 상동프라자 107호2017-09-19제과점영업상수도전용운영중2020-03-16
53935394제과점영업2018-02-13블럭제빵소 거제옥포점경상남도 거제시 옥포대첩로5길 8, 1층 (옥포동)경상남도 거제시 옥포동 531번지 1호 1층2018-02-13제과점영업상수도전용운영중2020-03-16
53945395제과점영업2018-03-27빵사부식빵공방경상남도 거제시 고현로11길 24, 삼덕빌딩 1층 101호 (고현동)경상남도 거제시 고현동 961번지 55호 삼덕빌딩2018-03-27제과점영업상수도전용운영중2020-03-16
53955396제과점영업2018-04-25블루일경상남도 거제시 상동5길 25-1, 1~3층 (상동동)경상남도 거제시 상동동 208번지 16호 1~3층2018-04-25제과점영업상수도전용운영중2020-03-16
53965397제과점영업2018-07-27외도널서리경상남도 거제시 일운면 구조라로4길 21, 주1동,부2동 1층경상남도 거제시 일운면 구조라리 415번지 5호 주1동,부2동2018-07-27제과점영업상수도전용운영중2020-03-16
53975398제과점영업2018-08-23달인의꿈 장목점경상남도 거제시 장목면 거제북로 1210, 장목농협 하나로마트 1동경상남도 거제시 장목면 장목리 325번지 63호 장목농협 하나로마트 1동2018-08-23제과점영업상수도전용운영중2020-03-16
53985399제과점영업2018-10-10외도파티쉐리경상남도 거제시 일운면 구조라로2길 23-3, 1~2층경상남도 거제시 일운면 구조라리 409번지 5호2018-10-10제과점영업상수도전용운영중2020-03-16
53995400제과점영업2018-10-18메르디스빅토리경상남도 거제시 제산로3길 18, 1동 1층 101호 (양정동)경상남도 거제시 양정동 870번지 1호2018-10-18제과점영업상수도전용운영중2020-03-16
54005401제과점영업2019-01-07자연드림 상동점경상남도 거제시 상동5길 11, 1층 (상동동)경상남도 거제시 상동동 185번지 2호2019-01-07제과점영업상수도전용운영중2020-03-16