Overview

Dataset statistics

Number of variables13
Number of observations5639
Missing cells143
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory589.4 KiB
Average record size in memory107.0 B

Variable types

Numeric3
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 (51.9%)Imbalance
급수시설 is highly imbalanced (82.0%)Imbalance
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:50:50.943464
Analysis finished2023-12-10 23:50:54.242756
Duration3.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct5639
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2820
Minimum1
Maximum5639
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size49.7 KiB
2023-12-11T08:50:54.307885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile282.9
Q11410.5
median2820
Q34229.5
95-th percentile5357.1
Maximum5639
Range5638
Interquartile range (IQR)2819

Descriptive statistics

Standard deviation1627.9834
Coefficient of variation (CV)0.57729908
Kurtosis-1.2
Mean2820
Median Absolute Deviation (MAD)1410
Skewness0
Sum15901980
Variance2650330
MonotonicityStrictly increasing
2023-12-11T08:50:54.497378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3878 1
 
< 0.1%
3766 1
 
< 0.1%
3765 1
 
< 0.1%
3764 1
 
< 0.1%
3763 1
 
< 0.1%
3762 1
 
< 0.1%
3761 1
 
< 0.1%
3760 1
 
< 0.1%
3759 1
 
< 0.1%
Other values (5629) 5629
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 (%)
5639 1
< 0.1%
5638 1
< 0.1%
5637 1
< 0.1%
5636 1
< 0.1%
5635 1
< 0.1%
5634 1
< 0.1%
5633 1
< 0.1%
5632 1
< 0.1%
5631 1
< 0.1%
5630 1
< 0.1%

업종명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size44.2 KiB
일반음식점
4147 
휴게음식점
936 
유흥주점영업
 
334
제과점영업
 
91
위탁급식영업
 
71

Length

Max length6
Median length5
Mean length5.0611811
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 4147
73.5%
휴게음식점 936
 
16.6%
유흥주점영업 334
 
5.9%
제과점영업 91
 
1.6%
위탁급식영업 71
 
1.3%
단란주점 60
 
1.1%

Length

2023-12-11T08:50:54.689395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:50:54.838535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 4147
73.5%
휴게음식점 936
 
16.6%
유흥주점영업 334
 
5.9%
제과점영업 91
 
1.6%
위탁급식영업 71
 
1.3%
단란주점 60
 
1.1%

인허가일자
Date

Distinct3546
Distinct (%)62.9%
Missing0
Missing (%)0.0%
Memory size44.2 KiB
Minimum1964-10-31 00:00:00
Maximum2021-08-20 00:00:00
2023-12-11T08:50:54.963643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:50:55.115830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct5440
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size44.2 KiB
2023-12-11T08:50:55.486944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length6.8453627
Min length1

Characters and Unicode

Total characters38601
Distinct characters966
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5264 ?
Unique (%)93.3%

Sample

1st row화림
2nd row아침바다횟집
3rd row(주)엄마손푸드
4th row중국성
5th row유성횟집
ValueCountFrequency (%)
거제고현점 79
 
1.2%
고현점 59
 
0.9%
거제점 53
 
0.8%
세븐일레븐 48
 
0.7%
장평점 46
 
0.7%
옥포점 45
 
0.7%
아주점 44
 
0.6%
거제아주점 39
 
0.6%
씨유 31
 
0.5%
gs25 30
 
0.4%
Other values (5460) 6349
93.1%
2023-12-11T08:50:55.953119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 1501
 
3.9%
1189
 
3.1%
제 826
 
2.1%
거 761
 
2.0%
( 710
 
1.8%
) 709
 
1.8%
이 694
 
1.8%
스 585
 
1.5%
식 557
 
1.4%
리 499
 
1.3%
Other values (956) 30570
79.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33518
86.8%
Space Separator 1189
 
3.1%
Uppercase Letter 1002
 
2.6%
Open Punctuation 710
 
1.8%
Close Punctuation 709
 
1.8%
Lowercase Letter 694
 
1.8%
Decimal Number 572
 
1.5%
Other Punctuation 186
 
0.5%
Dash Punctuation 15
 
< 0.1%
Other Symbol 2
 
< 0.1%
Other values (3) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1501
 
4.5%
제 826
 
2.5%
거 761
 
2.3%
이 694
 
2.1%
스 585
 
1.7%
식 557
 
1.7%
리 499
 
1.5%
주 492
 
1.5%
장 476
 
1.4%
당 441
 
1.3%
Other values (875) 26686
79.6%
Uppercase Letter
ValueCountFrequency (%)
C 92
 
9.2%
S 82
 
8.2%
A 81
 
8.1%
B 75
 
7.5%
E 69
 
6.9%
O 67
 
6.7%
G 66
 
6.6%
H 45
 
4.5%
L 45
 
4.5%
N 42
 
4.2%
Other values (16) 338
33.7%
Lowercase Letter
ValueCountFrequency (%)
e 99
14.3%
a 87
12.5%
o 53
 
7.6%
r 49
 
7.1%
i 42
 
6.1%
f 39
 
5.6%
l 39
 
5.6%
t 33
 
4.8%
n 32
 
4.6%
c 31
 
4.5%
Other values (15) 190
27.4%
Other Punctuation
ValueCountFrequency (%)
& 84
45.2%
. 62
33.3%
, 17
 
9.1%
# 4
 
2.2%
' 4
 
2.2%
? 4
 
2.2%
: 4
 
2.2%
/ 3
 
1.6%
· 2
 
1.1%
; 1
 
0.5%
Decimal Number
ValueCountFrequency (%)
2 155
27.1%
5 102
17.8%
1 84
14.7%
0 71
12.4%
9 32
 
5.6%
7 29
 
5.1%
8 28
 
4.9%
4 27
 
4.7%
6 25
 
4.4%
3 19
 
3.3%
Math Symbol
ValueCountFrequency (%)
~ 1
50.0%
+ 1
50.0%
Space Separator
ValueCountFrequency (%)
1189
100.0%
Open Punctuation
ValueCountFrequency (%)
( 710
100.0%
Close Punctuation
ValueCountFrequency (%)
) 709
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 2
100.0%
Other Number
ValueCountFrequency (%)
³ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
˚ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33495
86.8%
Common 3387
 
8.8%
Latin 1696
 
4.4%
Han 23
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1501
 
4.5%
제 826
 
2.5%
거 761
 
2.3%
이 694
 
2.1%
스 585
 
1.7%
식 557
 
1.7%
리 499
 
1.5%
주 492
 
1.5%
장 476
 
1.4%
당 441
 
1.3%
Other values (856) 26663
79.6%
Latin
ValueCountFrequency (%)
e 99
 
5.8%
C 92
 
5.4%
a 87
 
5.1%
S 82
 
4.8%
A 81
 
4.8%
B 75
 
4.4%
E 69
 
4.1%
O 67
 
4.0%
G 66
 
3.9%
o 53
 
3.1%
Other values (41) 925
54.5%
Common
ValueCountFrequency (%)
1189
35.1%
( 710
21.0%
) 709
20.9%
2 155
 
4.6%
5 102
 
3.0%
& 84
 
2.5%
1 84
 
2.5%
0 71
 
2.1%
. 62
 
1.8%
9 32
 
0.9%
Other values (20) 189
 
5.6%
Han
ValueCountFrequency (%)
火 2
 
8.7%
新 2
 
8.7%
美 2
 
8.7%
辛 2
 
8.7%
食 1
 
4.3%
時 1
 
4.3%
太 1
 
4.3%
山 1
 
4.3%
人 1
 
4.3%
心 1
 
4.3%
Other values (9) 9
39.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33495
86.8%
ASCII 5077
 
13.2%
CJK 22
 
0.1%
None 3
 
< 0.1%
Letterlike Symbols 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
Modifier Letters 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 1501
 
4.5%
제 826
 
2.5%
거 761
 
2.3%
이 694
 
2.1%
스 585
 
1.7%
식 557
 
1.7%
리 499
 
1.5%
주 492
 
1.5%
장 476
 
1.4%
당 441
 
1.3%
Other values (856) 26663
79.6%
ASCII
ValueCountFrequency (%)
1189
23.4%
( 710
14.0%
) 709
14.0%
2 155
 
3.1%
5 102
 
2.0%
e 99
 
1.9%
C 92
 
1.8%
a 87
 
1.7%
& 84
 
1.7%
1 84
 
1.7%
Other values (67) 1766
34.8%
CJK
ValueCountFrequency (%)
火 2
 
9.1%
新 2
 
9.1%
美 2
 
9.1%
辛 2
 
9.1%
食 1
 
4.5%
時 1
 
4.5%
太 1
 
4.5%
山 1
 
4.5%
人 1
 
4.5%
心 1
 
4.5%
Other values (8) 8
36.4%
Letterlike Symbols
ValueCountFrequency (%)
℃ 2
100.0%
None
ValueCountFrequency (%)
· 2
66.7%
³ 1
33.3%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
100.0%
Modifier Letters
ValueCountFrequency (%)
˚ 1
100.0%

소재지(도로명)
Text

Distinct5100
Distinct (%)91.2%
Missing46
Missing (%)0.8%
Memory size44.2 KiB
2023-12-11T08:50:56.267370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length60
Mean length29.254425
Min length18

Characters and Unicode

Total characters163620
Distinct characters392
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

Unique4726 ?
Unique (%)84.5%

Sample

1st row경상남도 거제시 거제중앙로24길 12 (고현동)
2nd row경상남도 거제시 남부면 대포길 69-7 ((1층))
3rd row경상남도 거제시 동부면 거제중앙로 382 ((1층))
4th row경상남도 거제시 고현로13길 30-5 (고현동,(2층))
5th row경상남도 거제시 장평1로1길 25 (장평동)
ValueCountFrequency (%)
경상남도 5593
 
16.5%
거제시 5593
 
16.5%
1층 2575
 
7.6%
고현동 1013
 
3.0%
옥포동 654
 
1.9%
장평동 481
 
1.4%
아주동 431
 
1.3%
2층 412
 
1.2%
일운면 292
 
0.9%
거제중앙로 245
 
0.7%
Other values (2807) 16616
49.0%
2023-12-11T08:50:56.779916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28314
 
17.3%
1 9493
 
5.8%
제 7018
 
4.3%
거 6990
 
4.3%
상 6238
 
3.8%
남 5807
 
3.5%
동 5716
 
3.5%
시 5690
 
3.5%
도 5648
 
3.5%
경 5610
 
3.4%
Other values (382) 77096
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 90911
55.6%
Space Separator 28314
 
17.3%
Decimal Number 26711
 
16.3%
Open Punctuation 5561
 
3.4%
Close Punctuation 5561
 
3.4%
Other Punctuation 4913
 
3.0%
Dash Punctuation 1292
 
0.8%
Uppercase Letter 214
 
0.1%
Math Symbol 116
 
0.1%
Lowercase Letter 26
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 7018
 
7.7%
거 6990
 
7.7%
상 6238
 
6.9%
남 5807
 
6.4%
동 5716
 
6.3%
시 5690
 
6.3%
도 5648
 
6.2%
경 5610
 
6.2%
로 4881
 
5.4%
층 4034
 
4.4%
Other values (337) 33279
36.6%
Uppercase Letter
ValueCountFrequency (%)
B 85
39.7%
A 48
22.4%
K 11
 
5.1%
C 10
 
4.7%
P 10
 
4.7%
R 10
 
4.7%
I 9
 
4.2%
D 7
 
3.3%
F 5
 
2.3%
S 5
 
2.3%
Other values (8) 14
 
6.5%
Decimal Number
ValueCountFrequency (%)
1 9493
35.5%
2 4076
15.3%
3 2591
 
9.7%
0 2116
 
7.9%
4 2005
 
7.5%
5 1646
 
6.2%
6 1445
 
5.4%
7 1201
 
4.5%
8 1121
 
4.2%
9 1017
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
e 18
69.2%
o 3
 
11.5%
j 1
 
3.8%
k 1
 
3.8%
p 1
 
3.8%
r 1
 
3.8%
t 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 4885
99.4%
. 25
 
0.5%
@ 2
 
< 0.1%
/ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
28314
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5561
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5561
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1292
100.0%
Math Symbol
ValueCountFrequency (%)
~ 116
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 90911
55.6%
Common 72468
44.3%
Latin 241
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 7018
 
7.7%
거 6990
 
7.7%
상 6238
 
6.9%
남 5807
 
6.4%
동 5716
 
6.3%
시 5690
 
6.3%
도 5648
 
6.2%
경 5610
 
6.2%
로 4881
 
5.4%
층 4034
 
4.4%
Other values (337) 33279
36.6%
Latin
ValueCountFrequency (%)
B 85
35.3%
A 48
19.9%
e 18
 
7.5%
K 11
 
4.6%
C 10
 
4.1%
P 10
 
4.1%
R 10
 
4.1%
I 9
 
3.7%
D 7
 
2.9%
F 5
 
2.1%
Other values (16) 28
 
11.6%
Common
ValueCountFrequency (%)
28314
39.1%
1 9493
 
13.1%
( 5561
 
7.7%
) 5561
 
7.7%
, 4885
 
6.7%
2 4076
 
5.6%
3 2591
 
3.6%
0 2116
 
2.9%
4 2005
 
2.8%
5 1646
 
2.3%
Other values (9) 6220
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 90911
55.6%
ASCII 72708
44.4%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28314
38.9%
1 9493
 
13.1%
( 5561
 
7.6%
) 5561
 
7.6%
, 4885
 
6.7%
2 4076
 
5.6%
3 2591
 
3.6%
0 2116
 
2.9%
4 2005
 
2.8%
5 1646
 
2.3%
Other values (34) 6460
 
8.9%
Hangul
ValueCountFrequency (%)
제 7018
 
7.7%
거 6990
 
7.7%
상 6238
 
6.9%
남 5807
 
6.4%
동 5716
 
6.3%
시 5690
 
6.3%
도 5648
 
6.2%
경 5610
 
6.2%
로 4881
 
5.4%
층 4034
 
4.4%
Other values (337) 33279
36.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지(지번)
Text

Distinct4761
Distinct (%)84.5%
Missing5
Missing (%)0.1%
Memory size44.2 KiB
2023-12-11T08:50:57.128850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length52
Mean length23.481186
Min length15

Characters and Unicode

Total characters132293
Distinct characters365
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

Unique4167 ?
Unique (%)74.0%

Sample

1st row경상남도 거제시 고현동 961-162
2nd row경상남도 거제시 남부면 저구리 642-24 (1층)
3rd row경상남도 거제시 동부면 구천리 947-1 (1층)
4th row경상남도 거제시 고현동 963-8 (2층)
5th row경상남도 거제시 장평동 31-2
ValueCountFrequency (%)
경상남도 5634
20.6%
거제시 5634
20.6%
고현동 1315
 
4.8%
1층 1085
 
4.0%
옥포동 889
 
3.2%
장평동 640
 
2.3%
아주동 452
 
1.6%
2층 294
 
1.1%
일운면 293
 
1.1%
장승포동 250
 
0.9%
Other values (4321) 10927
39.9%
2023-12-11T08:50:57.585005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27084
20.5%
1 7507
 
5.7%
상 6078
 
4.6%
제 5932
 
4.5%
거 5931
 
4.5%
시 5778
 
4.4%
남 5755
 
4.4%
도 5697
 
4.3%
경 5649
 
4.3%
동 5203
 
3.9%
Other values (355) 51679
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69399
52.5%
Decimal Number 28310
21.4%
Space Separator 27084
 
20.5%
Dash Punctuation 4655
 
3.5%
Close Punctuation 1238
 
0.9%
Open Punctuation 1236
 
0.9%
Other Punctuation 155
 
0.1%
Uppercase Letter 150
 
0.1%
Math Symbol 51
 
< 0.1%
Lowercase Letter 13
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 6078
 
8.8%
제 5932
 
8.5%
거 5931
 
8.5%
시 5778
 
8.3%
남 5755
 
8.3%
도 5697
 
8.2%
경 5649
 
8.1%
동 5203
 
7.5%
층 1728
 
2.5%
포 1680
 
2.4%
Other values (318) 19968
28.8%
Uppercase Letter
ValueCountFrequency (%)
B 46
30.7%
A 23
15.3%
P 11
 
7.3%
K 9
 
6.0%
R 9
 
6.0%
I 9
 
6.0%
S 8
 
5.3%
C 8
 
5.3%
G 7
 
4.7%
F 5
 
3.3%
Other values (6) 15
 
10.0%
Decimal Number
ValueCountFrequency (%)
1 7507
26.5%
2 3294
11.6%
9 2542
 
9.0%
3 2503
 
8.8%
0 2434
 
8.6%
5 2258
 
8.0%
6 2184
 
7.7%
4 2141
 
7.6%
7 1754
 
6.2%
8 1693
 
6.0%
Other Punctuation
ValueCountFrequency (%)
, 128
82.6%
. 25
 
16.1%
@ 2
 
1.3%
Space Separator
ValueCountFrequency (%)
27084
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4655
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1238
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1236
100.0%
Math Symbol
ValueCountFrequency (%)
~ 51
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 13
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69399
52.5%
Common 62730
47.4%
Latin 164
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 6078
 
8.8%
제 5932
 
8.5%
거 5931
 
8.5%
시 5778
 
8.3%
남 5755
 
8.3%
도 5697
 
8.2%
경 5649
 
8.1%
동 5203
 
7.5%
층 1728
 
2.5%
포 1680
 
2.4%
Other values (318) 19968
28.8%
Common
ValueCountFrequency (%)
27084
43.2%
1 7507
 
12.0%
- 4655
 
7.4%
2 3294
 
5.3%
9 2542
 
4.1%
3 2503
 
4.0%
0 2434
 
3.9%
5 2258
 
3.6%
6 2184
 
3.5%
4 2141
 
3.4%
Other values (9) 6128
 
9.8%
Latin
ValueCountFrequency (%)
B 46
28.0%
A 23
14.0%
e 13
 
7.9%
P 11
 
6.7%
K 9
 
5.5%
R 9
 
5.5%
I 9
 
5.5%
S 8
 
4.9%
C 8
 
4.9%
G 7
 
4.3%
Other values (8) 21
12.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69399
52.5%
ASCII 62893
47.5%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27084
43.1%
1 7507
 
11.9%
- 4655
 
7.4%
2 3294
 
5.2%
9 2542
 
4.0%
3 2503
 
4.0%
0 2434
 
3.9%
5 2258
 
3.6%
6 2184
 
3.5%
4 2141
 
3.4%
Other values (26) 6291
 
10.0%
Hangul
ValueCountFrequency (%)
상 6078
 
8.8%
제 5932
 
8.5%
거 5931
 
8.5%
시 5778
 
8.3%
남 5755
 
8.3%
도 5697
 
8.2%
경 5649
 
8.1%
동 5203
 
7.5%
층 1728
 
2.5%
포 1680
 
2.4%
Other values (318) 19968
28.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

위도
Real number (ℝ)

Distinct3424
Distinct (%)61.2%
Missing46
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean34.883069
Minimum34.708029
Maximum35.030445
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size49.7 KiB
2023-12-11T08:50:57.735261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.708029
5-th percentile34.823699
Q134.868411
median34.889168
Q334.89336
95-th percentile34.953404
Maximum35.030445
Range0.322416
Interquartile range (IQR)0.024949

Descriptive statistics

Standard deviation0.037665353
Coefficient of variation (CV)0.0010797603
Kurtosis5.247091
Mean34.883069
Median Absolute Deviation (MAD)0.007234
Skewness-0.44475847
Sum195101.01
Variance0.0014186788
MonotonicityNot monotonic
2023-12-11T08:50:57.862048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.891051 39
 
0.7%
34.897131 29
 
0.5%
34.881668 21
 
0.4%
34.876179 20
 
0.4%
35.007887 18
 
0.3%
34.867724 17
 
0.3%
34.897527 15
 
0.3%
34.886254 15
 
0.3%
34.896997 15
 
0.3%
34.843686 14
 
0.2%
Other values (3414) 5390
95.6%
(Missing) 46
 
0.8%
ValueCountFrequency (%)
34.708029 1
< 0.1%
34.708696 1
< 0.1%
34.709187 1
< 0.1%
34.714361 1
< 0.1%
34.714586 1
< 0.1%
34.714744 1
< 0.1%
34.714915 1
< 0.1%
34.71503 1
< 0.1%
34.715256 1
< 0.1%
34.720078 1
< 0.1%
ValueCountFrequency (%)
35.030445 1
 
< 0.1%
35.03012 1
 
< 0.1%
35.030119 1
 
< 0.1%
35.026442 1
 
< 0.1%
35.022637 1
 
< 0.1%
35.021663 1
 
< 0.1%
35.017533 5
0.1%
35.011887 1
 
< 0.1%
35.010945 1
 
< 0.1%
35.010782 1
 
< 0.1%

경도
Real number (ℝ)

Distinct3472
Distinct (%)62.1%
Missing46
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean128.65172
Minimum128.47278
Maximum128.74029
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size49.7 KiB
2023-12-11T08:50:57.995934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.47278
5-th percentile128.58511
Q1128.62242
median128.63954
Q3128.69351
95-th percentile128.72821
Maximum128.74029
Range0.267511
Interquartile range (IQR)0.071088

Descriptive statistics

Standard deviation0.050027982
Coefficient of variation (CV)0.00038886369
Kurtosis0.650154
Mean128.65172
Median Absolute Deviation (MAD)0.036531
Skewness-0.549329
Sum719549.07
Variance0.002502799
MonotonicityNot monotonic
2023-12-11T08:50:58.434190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.616405 39
 
0.7%
128.610214 29
 
0.5%
128.725313 21
 
0.4%
128.731172 20
 
0.4%
128.712119 18
 
0.3%
128.729544 17
 
0.3%
128.695769 15
 
0.3%
128.623655 15
 
0.3%
128.627676 15
 
0.3%
128.703001 14
 
0.2%
Other values (3462) 5390
95.6%
(Missing) 46
 
0.8%
ValueCountFrequency (%)
128.472781 1
< 0.1%
128.472848 1
< 0.1%
128.473859 1
< 0.1%
128.475843 1
< 0.1%
128.476179 1
< 0.1%
128.47638 1
< 0.1%
128.476818 1
< 0.1%
128.476896 2
< 0.1%
128.476904 1
< 0.1%
128.47693 1
< 0.1%
ValueCountFrequency (%)
128.740292 1
 
< 0.1%
128.739698 1
 
< 0.1%
128.737455 1
 
< 0.1%
128.737387 9
0.2%
128.737042 1
 
< 0.1%
128.737021 1
 
< 0.1%
128.73699 1
 
< 0.1%
128.736981 1
 
< 0.1%
128.73692 1
 
< 0.1%
128.736847 2
 
< 0.1%

영업자시작일
Date

Distinct2379
Distinct (%)42.2%
Missing0
Missing (%)0.0%
Memory size44.2 KiB
Minimum1970-09-08 00:00:00
Maximum2021-08-23 00:00:00
2023-12-11T08:50:58.566842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:50:58.738844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태명
Categorical

HIGH CORRELATION 

Distinct43
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size44.2 KiB
한식
1338 
식육(숯불구이)
539 
호프/통닭
426 
횟집
375 
커피숍
373 
Other values (38)
2588 

Length

Max length15
Median length12
Mean length4.0308565
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row한식
2nd row횟집
3rd row경양식
4th row중국식
5th row횟집

Common Values

ValueCountFrequency (%)
한식 1338
23.7%
식육(숯불구이) 539
9.6%
호프/통닭 426
 
7.6%
횟집 375
 
6.7%
커피숍 373
 
6.6%
정종/대포집/소주방 316
 
5.6%
분식 256
 
4.5%
기타 246
 
4.4%
룸살롱 233
 
4.1%
경양식 221
 
3.9%
Other values (33) 1316
23.3%

Length

2023-12-11T08:50:58.884061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 1338
23.5%
식육(숯불구이 539
9.4%
호프/통닭 426
 
7.5%
횟집 375
 
6.6%
커피숍 373
 
6.5%
정종/대포집/소주방 316
 
5.5%
기타 311
 
5.5%
분식 256
 
4.5%
룸살롱 233
 
4.1%
경양식 221
 
3.9%
Other values (33) 1316
23.1%

급수시설
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size44.2 KiB
상수도전용
5306 
지하수전용
 
187
상수도(음용)지하수(주방용)겸용
 
77
<NA>
 
49
간이상수도
 
20

Length

Max length17
Median length5
Mean length5.1551694
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 5306
94.1%
지하수전용 187
 
3.3%
상수도(음용)지하수(주방용)겸용 77
 
1.4%
<NA> 49
 
0.9%
간이상수도 20
 
0.4%

Length

2023-12-11T08:50:58.994589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:50:59.086819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 5306
94.1%
지하수전용 187
 
3.3%
상수도(음용)지하수(주방용)겸용 77
 
1.4%
na 49
 
0.9%
간이상수도 20
 
0.4%

영업상태
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size44.2 KiB
운영중
5639 

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 5639
100.0%

Length

2023-12-11T08:50:59.190265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:50:59.275345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 5639
100.0%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size44.2 KiB
2021-09-03
5639 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-09-03
2nd row2021-09-03
3rd row2021-09-03
4th row2021-09-03
5th row2021-09-03

Common Values

ValueCountFrequency (%)
2021-09-03 5639
100.0%

Length

2023-12-11T08:50:59.360658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:50:59.441394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-09-03 5639
100.0%

Interactions

2023-12-11T08:50:53.468562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:50:52.793573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:50:53.122357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:50:53.577169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:50:52.910226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:50:53.217086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:50:53.669711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:50:53.023925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:50:53.353700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:50:59.522099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명위도경도업태명급수시설
연번1.0000.8000.2990.4990.8140.066
업종명0.8001.0000.1470.1600.9980.043
위도0.2990.1471.0000.6840.3060.190
경도0.4990.1600.6841.0000.2140.183
업태명0.8140.9980.3060.2141.0000.180
급수시설0.0660.0430.1900.1830.1801.000
2023-12-11T08:50:59.614827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업태명업종명급수시설
업태명1.0000.9790.092
업종명0.9791.0000.027
급수시설0.0920.0271.000
2023-12-11T08:50:59.714836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도업종명업태명급수시설
연번1.0000.0020.0820.5870.4420.040
위도0.0021.000-0.1330.0770.1100.115
경도0.082-0.1331.0000.0850.0750.110
업종명0.5870.0770.0851.0000.9790.027
업태명0.4420.1100.0750.9791.0000.092
급수시설0.0400.1150.1100.0270.0921.000

Missing values

2023-12-11T08:50:53.811628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:50:54.039541image/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.
2023-12-11T08:50:54.165227image/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)위도경도영업자시작일업태명급수시설영업상태데이터기준일
01일반음식점1992-10-22화림경상남도 거제시 거제중앙로24길 12 (고현동)경상남도 거제시 고현동 961-16234.888541128.6242742016-06-08한식상수도전용운영중2021-09-03
12일반음식점2003-01-02아침바다횟집경상남도 거제시 남부면 대포길 69-7 ((1층))경상남도 거제시 남부면 저구리 642-24 (1층)34.714586128.5854272003-01-02횟집상수도전용운영중2021-09-03
23일반음식점2003-01-10(주)엄마손푸드경상남도 거제시 동부면 거제중앙로 382 ((1층))경상남도 거제시 동부면 구천리 947-1 (1층)34.78836128.6311662018-03-30경양식지하수전용운영중2021-09-03
34일반음식점1996-12-26중국성경상남도 거제시 고현로13길 30-5 (고현동,(2층))경상남도 거제시 고현동 963-8 (2층)34.889548128.6264051998-11-12중국식상수도전용운영중2021-09-03
45일반음식점1996-12-21유성횟집경상남도 거제시 장평1로1길 25 (장평동)경상남도 거제시 장평동 31-234.891664128.6145831996-12-21횟집상수도전용운영중2021-09-03
56일반음식점1996-12-21거제곱창전골경상남도 거제시 장평로4길 2 (장평동)경상남도 거제시 장평동 31-1434.891476128.6144172011-12-05식육(숯불구이)상수도전용운영중2021-09-03
67일반음식점1996-11-21하이트광장경상남도 거제시 장평3로7길 19 (장평동)경상남도 거제시 장평동 346-8534.893451128.6052632011-04-26호프/통닭상수도전용운영중2021-09-03
78일반음식점1995-04-28거제집경상남도 거제시 장평1로 21 (장평동,(1층))경상남도 거제시 장평동 1195-21 (1층)34.892284128.616712018-02-20한식상수도전용운영중2021-09-03
89일반음식점1996-01-18신현장어곰장어구이경상남도 거제시 장평3로4길 50 (장평동,(1층))경상남도 거제시 장평동 78-6 (1층)34.890439128.6144531998-11-23한식상수도전용운영중2021-09-03
910일반음식점1991-10-09마포숯불구이경상남도 거제시 장평3로7길 52 (장평동)경상남도 거제시 장평동 626-834.892315128.6053432007-03-09식육(숯불구이)상수도전용운영중2021-09-03
연번업종명인허가일자업소명소재지(도로명)소재지(지번)위도경도영업자시작일업태명급수시설영업상태데이터기준일
56295630제과점영업2020-08-03샹뜨레베이커리 장목점경상남도 거제시 장목면 거제북로 1210, 장목농협 하나로마트 1동 1층경상남도 거제시 장목면 장목리 325-6334.991102128.6823762021-06-28제과점영업상수도전용운영중2021-09-03
56305631제과점영업2020-09-23경성빵집경상남도 거제시 능포로 136-1, 1층 (능포동)경상남도 거제시 능포동 681-334.875724128.7319552020-09-23제과점영업상수도전용운영중2021-09-03
56315632제과점영업2021-03-15샹뜨레베이커리 고현수협점경상남도 거제시 고현천로 52, 수협마트 1층 (고현동)경상남도 거제시 고현동 43-1 수협마트34.887443128.6256672021-06-28제과점영업상수도전용운영중2021-09-03
56325633제과점영업2021-03-19생제르망경상남도 거제시 일운면 소동3길 6, 1층경상남도 거제시 일운면 소동리 423-334.839492128.6986792021-03-19제과점영업상수도전용운영중2021-09-03
56335634제과점영업2021-04-12오송웨이브1경상남도 거제시 동부면 오송7길 3-1, 주1동 2(일부)층경상남도 거제시 동부면 오송리 308-2134.81594128.5854132021-04-12제과점영업상수도전용운영중2021-09-03
56345635제과점영업2021-04-12오송웨이브경상남도 거제시 동부면 오송7길 3, 주1동 1층경상남도 거제시 동부면 오송리 308-3034.816011128.585732021-04-12제과점영업상수도전용운영중2021-09-03
56355636제과점영업2021-04-16달아쿠키(Dal A cookie)경상남도 거제시 상동5길 117-16, 501동 지하2층 B201호 (상동동, 벽산e-솔렌스힐 2차)경상남도 거제시 상동동 927-9 벽산e-솔렌스힐 2차34.860589128.6307672021-04-16제과점영업상수도전용운영중2021-09-03
56365637제과점영업2021-05-11오쓰리(O³)경상남도 거제시 아주1로 8, 스타타워2차 1층 101호 (아주동)경상남도 거제시 아주동 1692-5 스타타워2차 101호34.868149128.6908062021-05-11제과점영업상수도전용운영중2021-09-03
56375638제과점영업2021-05-17베이커리느루경상남도 거제시 일운면 지세포로 129, 일운농협하나로마트 1층경상남도 거제시 일운면 지세포리 78634.831262128.7016822021-05-17제과점영업상수도전용운영중2021-09-03
56385639제과점영업2021-07-12스윗페탈경상남도 거제시 아주1로1길 50, 1층 (아주동)경상남도 거제시 아주동 1693-3234.865847128.6882172021-07-12제과점영업상수도전용운영중2021-09-03