Overview

Dataset statistics

Number of variables7
Number of observations7125
Missing cells38
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory396.7 KiB
Average record size in memory57.0 B

Variable types

Numeric1
Categorical2
DateTime1
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

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:51:14.973112
Analysis finished2023-12-10 23:51:16.791064
Duration1.82 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct7125
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3563
Minimum1
Maximum7125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size62.8 KiB
2023-12-11T08:51:16.880593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile357.2
Q11782
median3563
Q35344
95-th percentile6768.8
Maximum7125
Range7124
Interquartile range (IQR)3562

Descriptive statistics

Standard deviation2056.9547
Coefficient of variation (CV)0.57730976
Kurtosis-1.2
Mean3563
Median Absolute Deviation (MAD)1781
Skewness0
Sum25386375
Variance4231062.5
MonotonicityStrictly increasing
2023-12-11T08:51:17.074292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
4748 1
 
< 0.1%
4759 1
 
< 0.1%
4758 1
 
< 0.1%
4757 1
 
< 0.1%
4756 1
 
< 0.1%
4755 1
 
< 0.1%
4754 1
 
< 0.1%
4753 1
 
< 0.1%
4752 1
 
< 0.1%
Other values (7115) 7115
99.9%
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 (%)
7125 1
< 0.1%
7124 1
< 0.1%
7123 1
< 0.1%
7122 1
< 0.1%
7121 1
< 0.1%
7120 1
< 0.1%
7119 1
< 0.1%
7118 1
< 0.1%
7117 1
< 0.1%
7116 1
< 0.1%

업종명
Categorical

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size55.8 KiB
일반음식점
4160 
휴게음식점
1015 
건강기능식품일반판매업
 
392
즉석판매제조가공업
 
354
유흥주점영업
 
332
Other values (12)
872 

Length

Max length13
Median length5
Mean length5.7350175
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 4160
58.4%
휴게음식점 1015
 
14.2%
건강기능식품일반판매업 392
 
5.5%
즉석판매제조가공업 354
 
5.0%
유흥주점영업 332
 
4.7%
집단급식소 236
 
3.3%
식품자동판매기영업 172
 
2.4%
제과점영업 93
 
1.3%
위탁급식영업 77
 
1.1%
식품제조가공업 75
 
1.1%
Other values (7) 219
 
3.1%

Length

2023-12-11T08:51:17.248655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반음식점 4160
58.2%
휴게음식점 1015
 
14.2%
건강기능식품일반판매업 392
 
5.5%
즉석판매제조가공업 354
 
5.0%
유흥주점영업 332
 
4.6%
집단급식소 254
 
3.6%
식품자동판매기영업 172
 
2.4%
제과점영업 93
 
1.3%
위탁급식영업 77
 
1.1%
식품제조가공업 75
 
1.0%
Other values (7) 219
 
3.1%

인허가일자
Date

Distinct3796
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Memory size55.8 KiB
Minimum1964-10-31 00:00:00
Maximum2023-07-11 00:00:00
2023-12-11T08:51:17.389211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:51:17.556628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct6324
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Memory size55.8 KiB
2023-12-11T08:51:17.903416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length7.4990877
Min length1

Characters and Unicode

Total characters53431
Distinct characters1008
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5588 ?
Unique (%)78.4%

Sample

1st row해중식당
2nd row하이오커피 장승포점
3rd row남천해물전문점
4th row돌고래
5th row오리명가
ValueCountFrequency (%)
거제고현점 103
 
1.1%
세븐일레븐 85
 
0.9%
거제점 80
 
0.9%
고현점 74
 
0.8%
씨유 64
 
0.7%
거제아주점 63
 
0.7%
아주점 59
 
0.6%
옥포점 56
 
0.6%
장평점 40
 
0.4%
거제장평점 35
 
0.4%
Other values (6524) 8520
92.8%
2023-12-11T08:51:18.698798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2058
 
3.9%
점 1999
 
3.7%
제 1373
 
2.6%
거 1279
 
2.4%
( 1138
 
2.1%
) 1136
 
2.1%
이 1033
 
1.9%
스 830
 
1.6%
주 717
 
1.3%
리 639
 
1.2%
Other values (998) 41229
77.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44576
83.4%
Space Separator 2058
 
3.9%
Uppercase Letter 1975
 
3.7%
Lowercase Letter 1487
 
2.8%
Open Punctuation 1138
 
2.1%
Close Punctuation 1136
 
2.1%
Decimal Number 777
 
1.5%
Other Punctuation 251
 
0.5%
Dash Punctuation 22
 
< 0.1%
Math Symbol 5
 
< 0.1%
Other values (5) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1999
 
4.5%
제 1373
 
3.1%
거 1279
 
2.9%
이 1033
 
2.3%
스 830
 
1.9%
주 717
 
1.6%
리 639
 
1.4%
식 587
 
1.3%
장 585
 
1.3%
포 564
 
1.3%
Other values (913) 34970
78.5%
Lowercase Letter
ValueCountFrequency (%)
e 200
13.4%
a 170
 
11.4%
o 130
 
8.7%
r 110
 
7.4%
n 92
 
6.2%
i 89
 
6.0%
c 74
 
5.0%
l 67
 
4.5%
f 67
 
4.5%
s 63
 
4.2%
Other values (16) 425
28.6%
Uppercase Letter
ValueCountFrequency (%)
A 185
 
9.4%
C 168
 
8.5%
E 161
 
8.2%
S 156
 
7.9%
B 133
 
6.7%
G 108
 
5.5%
O 104
 
5.3%
H 92
 
4.7%
M 83
 
4.2%
I 82
 
4.2%
Other values (16) 703
35.6%
Other Punctuation
ValueCountFrequency (%)
& 100
39.8%
. 76
30.3%
, 29
 
11.6%
' 12
 
4.8%
· 9
 
3.6%
# 8
 
3.2%
: 5
 
2.0%
/ 4
 
1.6%
? 3
 
1.2%
! 3
 
1.2%
Other values (2) 2
 
0.8%
Decimal Number
ValueCountFrequency (%)
2 226
29.1%
5 138
17.8%
1 112
14.4%
0 67
 
8.6%
4 54
 
6.9%
9 49
 
6.3%
3 41
 
5.3%
7 31
 
4.0%
8 30
 
3.9%
6 29
 
3.7%
Math Symbol
ValueCountFrequency (%)
~ 3
60.0%
+ 2
40.0%
Space Separator
ValueCountFrequency (%)
2058
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1138
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1136
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
˚ 1
100.0%
Other Number
ValueCountFrequency (%)
³ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44547
83.4%
Common 5392
 
10.1%
Latin 3463
 
6.5%
Han 29
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1999
 
4.5%
제 1373
 
3.1%
거 1279
 
2.9%
이 1033
 
2.3%
스 830
 
1.9%
주 717
 
1.6%
리 639
 
1.4%
식 587
 
1.3%
장 585
 
1.3%
포 564
 
1.3%
Other values (891) 34941
78.4%
Latin
ValueCountFrequency (%)
e 200
 
5.8%
A 185
 
5.3%
a 170
 
4.9%
C 168
 
4.9%
E 161
 
4.6%
S 156
 
4.5%
B 133
 
3.8%
o 130
 
3.8%
r 110
 
3.2%
G 108
 
3.1%
Other values (43) 1942
56.1%
Common
ValueCountFrequency (%)
2058
38.2%
( 1138
21.1%
) 1136
21.1%
2 226
 
4.2%
5 138
 
2.6%
1 112
 
2.1%
& 100
 
1.9%
. 76
 
1.4%
0 67
 
1.2%
4 54
 
1.0%
Other values (22) 287
 
5.3%
Han
ValueCountFrequency (%)
美 3
 
10.3%
新 3
 
10.3%
時 2
 
6.9%
火 2
 
6.9%
辛 2
 
6.9%
禹 1
 
3.4%
李 1
 
3.4%
家 1
 
3.4%
水 1
 
3.4%
羊 1
 
3.4%
Other values (12) 12
41.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44544
83.4%
ASCII 8841
 
16.5%
CJK 27
 
0.1%
None 11
 
< 0.1%
Compat Jamo 3
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%
Number Forms 1
 
< 0.1%
Modifier Letters 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2058
23.3%
( 1138
 
12.9%
) 1136
 
12.8%
2 226
 
2.6%
e 200
 
2.3%
A 185
 
2.1%
a 170
 
1.9%
C 168
 
1.9%
E 161
 
1.8%
S 156
 
1.8%
Other values (69) 3243
36.7%
Hangul
ValueCountFrequency (%)
점 1999
 
4.5%
제 1373
 
3.1%
거 1279
 
2.9%
이 1033
 
2.3%
스 830
 
1.9%
주 717
 
1.6%
리 639
 
1.4%
식 587
 
1.3%
장 585
 
1.3%
포 564
 
1.3%
Other values (888) 34938
78.4%
None
ValueCountFrequency (%)
· 9
81.8%
＆ 1
 
9.1%
³ 1
 
9.1%
CJK
ValueCountFrequency (%)
美 3
 
11.1%
新 3
 
11.1%
時 2
 
7.4%
火 2
 
7.4%
辛 2
 
7.4%
禹 1
 
3.7%
家 1
 
3.7%
水 1
 
3.7%
羊 1
 
3.7%
食 1
 
3.7%
Other values (10) 10
37.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
33.3%
ㅈ 1
33.3%
ㅅ 1
33.3%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
50.0%
林 1
50.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
Modifier Letters
ValueCountFrequency (%)
˚ 1
100.0%

소재지(도로명)
Text

Distinct5853
Distinct (%)82.5%
Missing28
Missing (%)0.4%
Memory size55.8 KiB
2023-12-11T08:51:19.122369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length59
Mean length30.040299
Min length18

Characters and Unicode

Total characters213196
Distinct characters437
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4932 ?
Unique (%)69.5%

Sample

1st row경상남도 거제시 신부로1길 6 (장승포동)
2nd row경상남도 거제시 장승포로 13 (장승포동)
3rd row경상남도 거제시 고현로9길 6 (고현동, (1층))
4th row경상남도 거제시 일운면 지세포해안로 90-5
5th row경상남도 거제시 능포로2길 55 (능포동)
ValueCountFrequency (%)
거제시 7099
 
15.9%
경상남도 7097
 
15.9%
1층 3610
 
8.1%
고현동 1340
 
3.0%
옥포동 829
 
1.9%
아주동 624
 
1.4%
장평동 621
 
1.4%
2층 527
 
1.2%
일운면 394
 
0.9%
거제중앙로 352
 
0.8%
Other values (3298) 22054
49.5%
2023-12-11T08:51:19.766035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37456
 
17.6%
1 12546
 
5.9%
제 9150
 
4.3%
거 9065
 
4.3%
상 7987
 
3.7%
동 7508
 
3.5%
남 7354
 
3.4%
시 7249
 
3.4%
도 7190
 
3.4%
경 7121
 
3.3%
Other values (427) 100570
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 118507
55.6%
Space Separator 37456
 
17.6%
Decimal Number 35208
 
16.5%
Other Punctuation 6621
 
3.1%
Open Punctuation 6606
 
3.1%
Close Punctuation 6606
 
3.1%
Dash Punctuation 1638
 
0.8%
Uppercase Letter 299
 
0.1%
Math Symbol 187
 
0.1%
Lowercase Letter 67
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 9150
 
7.7%
거 9065
 
7.6%
상 7987
 
6.7%
동 7508
 
6.3%
남 7354
 
6.2%
시 7249
 
6.1%
도 7190
 
6.1%
경 7121
 
6.0%
로 6129
 
5.2%
층 5440
 
4.6%
Other values (381) 44314
37.4%
Uppercase Letter
ValueCountFrequency (%)
B 90
30.1%
A 71
23.7%
K 24
 
8.0%
R 20
 
6.7%
P 19
 
6.4%
I 18
 
6.0%
C 17
 
5.7%
S 8
 
2.7%
D 8
 
2.7%
T 5
 
1.7%
Other values (8) 19
 
6.4%
Decimal Number
ValueCountFrequency (%)
1 12546
35.6%
2 5242
14.9%
3 3376
 
9.6%
0 3017
 
8.6%
4 2606
 
7.4%
5 2194
 
6.2%
6 1803
 
5.1%
7 1593
 
4.5%
8 1534
 
4.4%
9 1297
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
e 51
76.1%
o 6
 
9.0%
p 2
 
3.0%
r 2
 
3.0%
k 2
 
3.0%
t 2
 
3.0%
j 2
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 6599
99.7%
. 17
 
0.3%
/ 2
 
< 0.1%
@ 2
 
< 0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
37456
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6606
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6606
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1638
100.0%
Math Symbol
ValueCountFrequency (%)
~ 187
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 118505
55.6%
Common 94322
44.2%
Latin 367
 
0.2%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 9150
 
7.7%
거 9065
 
7.6%
상 7987
 
6.7%
동 7508
 
6.3%
남 7354
 
6.2%
시 7249
 
6.1%
도 7190
 
6.1%
경 7121
 
6.0%
로 6129
 
5.2%
층 5440
 
4.6%
Other values (380) 44312
37.4%
Latin
ValueCountFrequency (%)
B 90
24.5%
A 71
19.3%
e 51
13.9%
K 24
 
6.5%
R 20
 
5.4%
P 19
 
5.2%
I 18
 
4.9%
C 17
 
4.6%
S 8
 
2.2%
D 8
 
2.2%
Other values (16) 41
11.2%
Common
ValueCountFrequency (%)
37456
39.7%
1 12546
 
13.3%
( 6606
 
7.0%
) 6606
 
7.0%
, 6599
 
7.0%
2 5242
 
5.6%
3 3376
 
3.6%
0 3017
 
3.2%
4 2606
 
2.8%
5 2194
 
2.3%
Other values (10) 8074
 
8.6%
Han
ValueCountFrequency (%)
家 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 118505
55.6%
ASCII 94688
44.4%
CJK 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37456
39.6%
1 12546
 
13.2%
( 6606
 
7.0%
) 6606
 
7.0%
, 6599
 
7.0%
2 5242
 
5.5%
3 3376
 
3.6%
0 3017
 
3.2%
4 2606
 
2.8%
5 2194
 
2.3%
Other values (35) 8440
 
8.9%
Hangul
ValueCountFrequency (%)
제 9150
 
7.7%
거 9065
 
7.6%
상 7987
 
6.7%
동 7508
 
6.3%
남 7354
 
6.2%
시 7249
 
6.1%
도 7190
 
6.1%
경 7121
 
6.0%
로 6129
 
5.2%
층 5440
 
4.6%
Other values (380) 44312
37.4%
CJK
ValueCountFrequency (%)
家 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지(지번)
Text

Distinct5290
Distinct (%)74.3%
Missing10
Missing (%)0.1%
Memory size55.8 KiB
2023-12-11T08:51:20.121005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length48
Mean length23.362474
Min length15

Characters and Unicode

Total characters166224
Distinct characters405
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4157 ?
Unique (%)58.4%

Sample

1st row경상남도 거제시 장승포동 283-18
2nd row경상남도 거제시 장승포동 499-32
3rd row경상남도 거제시 고현동 819-9
4th row경상남도 거제시 일운면 지세포리 931-39
5th row경상남도 거제시 능포동 663-1
ValueCountFrequency (%)
거제시 7118
20.6%
경상남도 7115
20.6%
고현동 1613
 
4.7%
1층 1063
 
3.1%
옥포동 1046
 
3.0%
장평동 768
 
2.2%
아주동 638
 
1.8%
일운면 397
 
1.1%
상동동 335
 
1.0%
장승포동 300
 
0.9%
Other values (4840) 14164
41.0%
2023-12-11T08:51:20.636452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34131
20.5%
1 9078
 
5.5%
상 7729
 
4.6%
제 7622
 
4.6%
거 7607
 
4.6%
시 7300
 
4.4%
남 7257
 
4.4%
도 7194
 
4.3%
경 7137
 
4.3%
동 6568
 
4.0%
Other values (395) 64601
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 88891
53.5%
Decimal Number 34726
 
20.9%
Space Separator 34131
 
20.5%
Dash Punctuation 5689
 
3.4%
Close Punctuation 1176
 
0.7%
Open Punctuation 1175
 
0.7%
Uppercase Letter 189
 
0.1%
Other Punctuation 150
 
0.1%
Math Symbol 52
 
< 0.1%
Lowercase Letter 41
 
< 0.1%
Other values (3) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 7729
 
8.7%
제 7622
 
8.6%
거 7607
 
8.6%
시 7300
 
8.2%
남 7257
 
8.2%
도 7194
 
8.1%
경 7137
 
8.0%
동 6568
 
7.4%
포 1993
 
2.2%
리 1860
 
2.1%
Other values (357) 26624
30.0%
Uppercase Letter
ValueCountFrequency (%)
B 42
22.2%
A 32
16.9%
K 22
11.6%
P 20
10.6%
I 19
10.1%
R 18
9.5%
C 11
 
5.8%
D 6
 
3.2%
L 5
 
2.6%
J 3
 
1.6%
Other values (6) 11
 
5.8%
Decimal Number
ValueCountFrequency (%)
1 9078
26.1%
2 4091
11.8%
3 3156
 
9.1%
9 3143
 
9.1%
0 2986
 
8.6%
5 2795
 
8.0%
4 2630
 
7.6%
6 2606
 
7.5%
7 2188
 
6.3%
8 2053
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 130
86.7%
. 18
 
12.0%
@ 2
 
1.3%
Space Separator
ValueCountFrequency (%)
34131
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5689
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1176
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1175
100.0%
Math Symbol
ValueCountFrequency (%)
~ 52
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 41
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 88892
53.5%
Common 77100
46.4%
Latin 231
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 7729
 
8.7%
제 7622
 
8.6%
거 7607
 
8.6%
시 7300
 
8.2%
남 7257
 
8.2%
도 7194
 
8.1%
경 7137
 
8.0%
동 6568
 
7.4%
포 1993
 
2.2%
리 1860
 
2.1%
Other values (357) 26625
30.0%
Common
ValueCountFrequency (%)
34131
44.3%
1 9078
 
11.8%
- 5689
 
7.4%
2 4091
 
5.3%
3 3156
 
4.1%
9 3143
 
4.1%
0 2986
 
3.9%
5 2795
 
3.6%
4 2630
 
3.4%
6 2606
 
3.4%
Other values (9) 6795
 
8.8%
Latin
ValueCountFrequency (%)
B 42
18.2%
e 41
17.7%
A 32
13.9%
K 22
9.5%
P 20
8.7%
I 19
8.2%
R 18
7.8%
C 11
 
4.8%
D 6
 
2.6%
L 5
 
2.2%
Other values (8) 15
 
6.5%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 88890
53.5%
ASCII 77330
46.5%
None 2
 
< 0.1%
CJK 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
34131
44.1%
1 9078
 
11.7%
- 5689
 
7.4%
2 4091
 
5.3%
3 3156
 
4.1%
9 3143
 
4.1%
0 2986
 
3.9%
5 2795
 
3.6%
4 2630
 
3.4%
6 2606
 
3.4%
Other values (26) 7025
 
9.1%
Hangul
ValueCountFrequency (%)
상 7729
 
8.7%
제 7622
 
8.6%
거 7607
 
8.6%
시 7300
 
8.2%
남 7257
 
8.2%
도 7194
 
8.1%
경 7137
 
8.0%
동 6568
 
7.4%
포 1993
 
2.2%
리 1860
 
2.1%
Other values (356) 26623
30.0%
None
ValueCountFrequency (%)
㈜ 2
100.0%
CJK
ValueCountFrequency (%)
家 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.8 KiB
2023-08-24
7125 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-24
2nd row2023-08-24
3rd row2023-08-24
4th row2023-08-24
5th row2023-08-24

Common Values

ValueCountFrequency (%)
2023-08-24 7125
100.0%

Length

2023-12-11T08:51:20.792031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:51:20.891884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-24 7125
100.0%

Interactions

2023-12-11T08:51:16.246233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:51:20.949159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.289
업종명0.2891.000
2023-12-11T08:51:21.026923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.116
업종명0.1161.000

Missing values

2023-12-11T08:51:16.421536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:51:16.576196image/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.
2023-12-11T08:51:16.707743image/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)데이터기준일자
01일반음식점1972-09-16해중식당경상남도 거제시 신부로1길 6 (장승포동)경상남도 거제시 장승포동 283-182023-08-24
12일반음식점1977-04-15하이오커피 장승포점경상남도 거제시 장승포로 13 (장승포동)경상남도 거제시 장승포동 499-322023-08-24
23일반음식점1979-11-29남천해물전문점경상남도 거제시 고현로9길 6 (고현동, (1층))경상남도 거제시 고현동 819-92023-08-24
34일반음식점1981-05-21돌고래경상남도 거제시 일운면 지세포해안로 90-5경상남도 거제시 일운면 지세포리 931-392023-08-24
45일반음식점1982-09-02오리명가경상남도 거제시 능포로2길 55 (능포동)경상남도 거제시 능포동 663-12023-08-24
56일반음식점1985-06-20동은참치전문점경상남도 거제시 옥포로6길 9 (옥포동)경상남도 거제시 옥포동 159-42023-08-24
67일반음식점1985-11-04태백산맥경상남도 거제시 장평1로14길 12 (장평동)경상남도 거제시 장평동 346-942023-08-24
78일반음식점1988-06-02토지감자탕경상남도 거제시 고현로6길 7 (고현동)경상남도 거제시 고현동 8052023-08-24
89일반음식점1988-12-31거제기사식당경상남도 거제시 거제면 거제남서로 3394경상남도 거제시 거제면 남동리 29-4052023-08-24
910일반음식점1993-03-10만고강산경상남도 거제시 옥포로 163 (옥포동)경상남도 거제시 옥포동 552-12023-08-24
연번업종명인허가일자업소명소재지(도로명)소재지(지번)데이터기준일자
71157116건강기능식품일반판매업2022-11-30케이에스씨경상남도 거제시 제산로 51, 104동 13층 1305호 (양정동, 거제 수월 힐스테이트)경상남도 거제시 양정동 885 거제 수월 힐스테이트 104동 1305호2023-08-24
71167117건강기능식품일반판매업2022-12-13신인셀덤경상남도 거제시 옥포대첩로7길 31, 신강보람빌라 1층 상가7호 (옥포동)경상남도 거제시 옥포동 520-19 신강보람빌라 상가7호2023-08-24
71177118건강기능식품일반판매업2022-12-27이에스샵경상남도 거제시 사등면 두동로 30, 110동 19층 1903호 (경남 아너스빌)경상남도 거제시 사등면 사곡리 918 거제경남아너스빌 110동 1903호2023-08-24
71187119건강기능식품일반판매업2023-01-19도도헵번경상남도 거제시 상동5길 117-50, 301동 2층 203호 (상동동, 벽산 e-솔렌스힐 3차)경상남도 거제시 상동동 54-9 벽산 e-솔렌스힐 3차2023-08-24
71197120건강기능식품일반판매업2023-02-03장승포농협 하나로마트 옥수점경상남도 거제시 능포로 88, 장승포지역농협청사 1층 (장승포동)경상남도 거제시 장승포동 360-22023-08-24
71207121건강기능식품일반판매업2023-03-03투에스건강경상남도 거제시 해명로4길 8, 102동 5층 501호 (수월동, 엘리유리안2차)경상남도 거제시 수월동 1059 엘리유리안2차 102동 501호2023-08-24
71217122건강기능식품일반판매업2023-05-23제이케이퍼스트점경상남도 거제시 아주로 100-11, 202호동 7층 703호 (아주동, 덕산아내 프리미엄 2차)경상남도 거제시 아주동 1681 덕산아내 프리미엄 2차 202호동 703호2023-08-24
71227123건강기능식품일반판매업2023-05-25리셀 화장품 루비대리점(제이케이)경상남도 거제시 거제중앙로13길 33-12, 2층 (고현동)경상남도 거제시 고현동 161-192023-08-24
71237124건강기능식품일반판매업2023-06-12세븐일레븐 거제아주푸르지오점경상남도 거제시 용소1길 17-7, 211동 1층 101호 (아주동, 거제 마린 푸르지오 2단지)경상남도 거제시 아주동 590 거제 마린 푸르지오 2단지2023-08-24
71247125건강기능식품일반판매업2023-06-21스마트블리경상남도 거제시 용소1길 17-7, 203동 15층 1501호 (아주동, 거제 마린 푸르지오 2단지)경상남도 거제시 아주동 590 거제 마린 푸르지오 2단지2023-08-24