Overview

Dataset statistics

Number of variables9
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory77.2 B

Variable types

Categorical1
Text4
Numeric2
DateTime2

Dataset

Description경상남도 거제시 목욕업등록현황(업종명, 업소명, 주소, 좌표, 전화번호, 영업시작일, 기준일자)등의 정보를 제공합니다.
Author경상남도 거제시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3079217

Alerts

업종명 has constant value ""Constant
기준일자 has constant value ""Constant
영업소주소(도로명) has unique valuesUnique
영업소주소(지번) has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:47:21.743465
Analysis finished2023-12-10 23:47:22.566073
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
목욕장업
41 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
목욕장업 41
100.0%

Length

2023-12-11T08:47:22.619299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:47:22.713656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
목욕장업 41
100.0%

업소명
Text

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-11T08:47:22.894502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length5.9756098
Min length3

Characters and Unicode

Total characters245
Distinct characters100
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)95.1%

Sample

1st row계룡목욕탕
2nd row부영탕
3rd row옥수탕
4th row능수탕
5th row은하탕
ValueCountFrequency (%)
수정탕 2
 
4.7%
일운목욕탕 1
 
2.3%
계룡산온천 1
 
2.3%
거제도해수보양온천 1
 
2.3%
해금강워터랜드 1
 
2.3%
삼성중공업거제호텔사우나 1
 
2.3%
학산토굴황토방 1
 
2.3%
오량황토찜질방 1
 
2.3%
대성오아시스 1
 
2.3%
계룡목욕탕 1
 
2.3%
Other values (32) 32
74.4%
2023-12-11T08:47:23.193930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
탕 22
 
9.0%
수 10
 
4.1%
나 10
 
4.1%
사 8
 
3.3%
우 8
 
3.3%
목 8
 
3.3%
욕 7
 
2.9%
해 6
 
2.4%
제 6
 
2.4%
거 6
 
2.4%
Other values (90) 154
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 239
97.6%
Space Separator 2
 
0.8%
Decimal Number 2
 
0.8%
Open Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
탕 22
 
9.2%
수 10
 
4.2%
나 10
 
4.2%
사 8
 
3.3%
우 8
 
3.3%
목 8
 
3.3%
욕 7
 
2.9%
해 6
 
2.5%
제 6
 
2.5%
거 6
 
2.5%
Other values (85) 148
61.9%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
4 1
50.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 239
97.6%
Common 6
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
탕 22
 
9.2%
수 10
 
4.2%
나 10
 
4.2%
사 8
 
3.3%
우 8
 
3.3%
목 8
 
3.3%
욕 7
 
2.9%
해 6
 
2.5%
제 6
 
2.5%
거 6
 
2.5%
Other values (85) 148
61.9%
Common
ValueCountFrequency (%)
2
33.3%
2 1
16.7%
4 1
16.7%
( 1
16.7%
) 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 239
97.6%
ASCII 6
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
탕 22
 
9.2%
수 10
 
4.2%
나 10
 
4.2%
사 8
 
3.3%
우 8
 
3.3%
목 8
 
3.3%
욕 7
 
2.9%
해 6
 
2.5%
제 6
 
2.5%
거 6
 
2.5%
Other values (85) 148
61.9%
ASCII
ValueCountFrequency (%)
2
33.3%
2 1
16.7%
4 1
16.7%
( 1
16.7%
) 1
16.7%

영업소주소(도로명)
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-11T08:47:23.449145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length36
Mean length25.780488
Min length18

Characters and Unicode

Total characters1057
Distinct characters95
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row경상남도 거제시 거제중앙로 1879-1 (고현동)
2nd row경상남도 거제시 능포로2길 57 (능포동)
3rd row경상남도 거제시 거제면 동상1길 11
4th row경상남도 거제시 옥수로6길 153 (능포동)
5th row경상남도 거제시 능포로2길 65-1 (능포동)
ValueCountFrequency (%)
경상남도 41
 
18.6%
거제시 41
 
18.6%
고현동 8
 
3.6%
옥포동 6
 
2.7%
거제중앙로 3
 
1.4%
거제대로 3
 
1.4%
능포동 3
 
1.4%
거제면 3
 
1.4%
사등면 3
 
1.4%
일운면 3
 
1.4%
Other values (91) 106
48.2%
2023-12-11T08:47:24.092855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
179
 
16.9%
제 58
 
5.5%
거 58
 
5.5%
상 43
 
4.1%
남 42
 
4.0%
시 42
 
4.0%
경 41
 
3.9%
도 41
 
3.9%
1 39
 
3.7%
로 37
 
3.5%
Other values (85) 477
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 633
59.9%
Space Separator 179
 
16.9%
Decimal Number 158
 
14.9%
Open Punctuation 31
 
2.9%
Close Punctuation 31
 
2.9%
Other Punctuation 13
 
1.2%
Dash Punctuation 10
 
0.9%
Math Symbol 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 58
 
9.2%
거 58
 
9.2%
상 43
 
6.8%
남 42
 
6.6%
시 42
 
6.6%
경 41
 
6.5%
도 41
 
6.5%
로 37
 
5.8%
동 32
 
5.1%
포 23
 
3.6%
Other values (69) 216
34.1%
Decimal Number
ValueCountFrequency (%)
1 39
24.7%
2 27
17.1%
3 18
11.4%
7 15
 
9.5%
0 15
 
9.5%
5 13
 
8.2%
6 13
 
8.2%
4 8
 
5.1%
9 5
 
3.2%
8 5
 
3.2%
Space Separator
ValueCountFrequency (%)
179
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 633
59.9%
Common 424
40.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 58
 
9.2%
거 58
 
9.2%
상 43
 
6.8%
남 42
 
6.6%
시 42
 
6.6%
경 41
 
6.5%
도 41
 
6.5%
로 37
 
5.8%
동 32
 
5.1%
포 23
 
3.6%
Other values (69) 216
34.1%
Common
ValueCountFrequency (%)
179
42.2%
1 39
 
9.2%
( 31
 
7.3%
) 31
 
7.3%
2 27
 
6.4%
3 18
 
4.2%
7 15
 
3.5%
0 15
 
3.5%
, 13
 
3.1%
5 13
 
3.1%
Other values (6) 43
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 633
59.9%
ASCII 424
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
179
42.2%
1 39
 
9.2%
( 31
 
7.3%
) 31
 
7.3%
2 27
 
6.4%
3 18
 
4.2%
7 15
 
3.5%
0 15
 
3.5%
, 13
 
3.1%
5 13
 
3.1%
Other values (6) 43
 
10.1%
Hangul
ValueCountFrequency (%)
제 58
 
9.2%
거 58
 
9.2%
상 43
 
6.8%
남 42
 
6.6%
시 42
 
6.6%
경 41
 
6.5%
도 41
 
6.5%
로 37
 
5.8%
동 32
 
5.1%
포 23
 
3.6%
Other values (69) 216
34.1%

영업소주소(지번)
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-11T08:47:24.329752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length21.04878
Min length15

Characters and Unicode

Total characters863
Distinct characters80
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row경상남도 거제시 고현동 98-15
2nd row경상남도 거제시 능포동 664-2
3rd row경상남도 거제시 거제면 동상리 635-1
4th row경상남도 거제시 능포동 449-2
5th row경상남도 거제시 능포동 332-6
ValueCountFrequency (%)
경상남도 41
21.5%
거제시 41
21.5%
고현동 8
 
4.2%
옥포동 7
 
3.7%
능포동 4
 
2.1%
사등면 3
 
1.6%
일운면 3
 
1.6%
거제면 3
 
1.6%
장평동 3
 
1.6%
동부면 2
 
1.0%
Other values (75) 76
39.8%
2023-12-11T08:47:24.674197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
150
17.4%
제 46
 
5.3%
거 46
 
5.3%
상 43
 
5.0%
남 42
 
4.9%
시 41
 
4.8%
경 41
 
4.8%
도 41
 
4.8%
1 39
 
4.5%
동 34
 
3.9%
Other values (70) 340
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 499
57.8%
Decimal Number 175
 
20.3%
Space Separator 150
 
17.4%
Dash Punctuation 30
 
3.5%
Other Punctuation 3
 
0.3%
Math Symbol 2
 
0.2%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 46
 
9.2%
거 46
 
9.2%
상 43
 
8.6%
남 42
 
8.4%
시 41
 
8.2%
경 41
 
8.2%
도 41
 
8.2%
동 34
 
6.8%
포 15
 
3.0%
면 14
 
2.8%
Other values (54) 136
27.3%
Decimal Number
ValueCountFrequency (%)
1 39
22.3%
2 25
14.3%
6 21
12.0%
3 20
11.4%
4 19
10.9%
5 16
9.1%
9 12
 
6.9%
7 11
 
6.3%
0 8
 
4.6%
8 4
 
2.3%
Space Separator
ValueCountFrequency (%)
150
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 499
57.8%
Common 364
42.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 46
 
9.2%
거 46
 
9.2%
상 43
 
8.6%
남 42
 
8.4%
시 41
 
8.2%
경 41
 
8.2%
도 41
 
8.2%
동 34
 
6.8%
포 15
 
3.0%
면 14
 
2.8%
Other values (54) 136
27.3%
Common
ValueCountFrequency (%)
150
41.2%
1 39
 
10.7%
- 30
 
8.2%
2 25
 
6.9%
6 21
 
5.8%
3 20
 
5.5%
4 19
 
5.2%
5 16
 
4.4%
9 12
 
3.3%
7 11
 
3.0%
Other values (6) 21
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 499
57.8%
ASCII 364
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
150
41.2%
1 39
 
10.7%
- 30
 
8.2%
2 25
 
6.9%
6 21
 
5.8%
3 20
 
5.5%
4 19
 
5.2%
5 16
 
4.4%
9 12
 
3.3%
7 11
 
3.0%
Other values (6) 21
 
5.8%
Hangul
ValueCountFrequency (%)
제 46
 
9.2%
거 46
 
9.2%
상 43
 
8.6%
남 42
 
8.4%
시 41
 
8.2%
경 41
 
8.2%
도 41
 
8.2%
동 34
 
6.8%
포 15
 
3.0%
면 14
 
2.8%
Other values (54) 136
27.3%

위도
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.87766
Minimum34.776671
Maximum35.007888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-11T08:47:24.804890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.776671
5-th percentile34.822064
Q134.867091
median34.883084
Q334.892918
95-th percentile34.8971
Maximum35.007888
Range0.23121632
Interquartile range (IQR)0.0258268

Descriptive statistics

Standard deviation0.03423452
Coefficient of variation (CV)0.00098156012
Kurtosis5.9124519
Mean34.87766
Median Absolute Deviation (MAD)0.01113793
Skewness0.38387082
Sum1429.984
Variance0.0011720023
MonotonicityNot monotonic
2023-12-11T08:47:24.923630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
34.8860554 1
 
2.4%
34.88819926 1
 
2.4%
34.89536387 1
 
2.4%
34.87760982 1
 
2.4%
34.89089246 1
 
2.4%
34.89094929 1
 
2.4%
34.89615741 1
 
2.4%
34.86709112 1
 
2.4%
34.88308398 1
 
2.4%
34.88275627 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
34.77667146 1
2.4%
34.81149117 1
2.4%
34.82206415 1
2.4%
34.82968153 1
2.4%
34.842309 1
2.4%
34.84379126 1
2.4%
34.84959557 1
2.4%
34.84980745 1
2.4%
34.86151174 1
2.4%
34.86572915 1
2.4%
ValueCountFrequency (%)
35.00788778 1
2.4%
34.91426555 1
2.4%
34.89709996 1
2.4%
34.89664526 1
2.4%
34.89615741 1
2.4%
34.89593623 1
2.4%
34.89536387 1
2.4%
34.89530426 1
2.4%
34.89422191 1
2.4%
34.89378723 1
2.4%

경도
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.64665
Minimum128.47683
Maximum128.73472
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-11T08:47:25.023351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.47683
5-th percentile128.50959
Q1128.61384
median128.63524
Q3128.6962
95-th percentile128.73241
Maximum128.73472
Range0.2578881
Interquartile range (IQR)0.0823605

Descriptive statistics

Standard deviation0.066339668
Coefficient of variation (CV)0.00051567348
Kurtosis0.34830597
Mean128.64665
Median Absolute Deviation (MAD)0.0532634
Skewness-0.76885698
Sum5274.5128
Variance0.0044009516
MonotonicityNot monotonic
2023-12-11T08:47:25.126501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
128.6240315 1
 
2.4%
128.5380014 1
 
2.4%
128.6284614 1
 
2.4%
128.6282693 1
 
2.4%
128.6352414 1
 
2.4%
128.6039936 1
 
2.4%
128.6123224 1
 
2.4%
128.4870783 1
 
2.4%
128.5095916 1
 
2.4%
128.6250776 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
128.4768317 1
2.4%
128.4870783 1
2.4%
128.5095916 1
2.4%
128.5380014 1
2.4%
128.5890596 1
2.4%
128.5924116 1
2.4%
128.593421 1
2.4%
128.6039936 1
2.4%
128.6068822 1
2.4%
128.6123224 1
2.4%
ValueCountFrequency (%)
128.7347198 1
2.4%
128.7326461 1
2.4%
128.7324079 1
2.4%
128.7323511 1
2.4%
128.7269456 1
2.4%
128.7229727 1
2.4%
128.712119 1
2.4%
128.7058695 1
2.4%
128.7040067 1
2.4%
128.7029426 1
2.4%

전화번호
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-11T08:47:25.305676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.926829
Min length9

Characters and Unicode

Total characters489
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

Unique41 ?
Unique (%)100.0%

Sample

1st row055-635-2149
2nd row055-681-4850
3rd row055-633-3504
4th row055-681-8212
5th row055-681-4512
ValueCountFrequency (%)
055-635-2149 1
 
2.4%
055-633-6006 1
 
2.4%
055-638-0072 1
 
2.4%
055-638-0002 1
 
2.4%
055-638-3000 1
 
2.4%
055-633-7120 1
 
2.4%
055-631-2622 1
 
2.4%
055-637-0028 1
 
2.4%
055-632-0544 1
 
2.4%
055-632-2588 1
 
2.4%
Other values (31) 31
75.6%
2023-12-11T08:47:25.591083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 101
20.7%
- 81
16.6%
0 80
16.4%
6 53
10.8%
3 38
 
7.8%
8 37
 
7.6%
2 32
 
6.5%
7 26
 
5.3%
1 22
 
4.5%
4 11
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 408
83.4%
Dash Punctuation 81
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 101
24.8%
0 80
19.6%
6 53
13.0%
3 38
 
9.3%
8 37
 
9.1%
2 32
 
7.8%
7 26
 
6.4%
1 22
 
5.4%
4 11
 
2.7%
9 8
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 489
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 101
20.7%
- 81
16.6%
0 80
16.4%
6 53
10.8%
3 38
 
7.8%
8 37
 
7.6%
2 32
 
6.5%
7 26
 
5.3%
1 22
 
4.5%
4 11
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 489
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 101
20.7%
- 81
16.6%
0 80
16.4%
6 53
10.8%
3 38
 
7.8%
8 37
 
7.6%
2 32
 
6.5%
7 26
 
5.3%
1 22
 
4.5%
4 11
 
2.2%

영업시작일
Date

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum1981-09-05 00:00:00
Maximum2021-05-27 00:00:00
2023-12-11T08:47:25.699084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:47:25.807208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum2021-08-30 00:00:00
Maximum2021-08-30 00:00:00
2023-12-11T08:47:25.904788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:47:25.978982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T08:47:22.237848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:47:22.105295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:47:22.314633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:47:22.166138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:47:26.039507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명영업소주소(도로명)영업소주소(지번)위도경도전화번호영업시작일
업소명1.0001.0001.0000.9430.9771.0000.995
영업소주소(도로명)1.0001.0001.0001.0001.0001.0001.000
영업소주소(지번)1.0001.0001.0001.0001.0001.0001.000
위도0.9431.0001.0001.0000.4401.0000.000
경도0.9771.0001.0000.4401.0001.0000.935
전화번호1.0001.0001.0001.0001.0001.0001.000
영업시작일0.9951.0001.0000.0000.9351.0001.000
2023-12-11T08:47:26.131627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.025
경도0.0251.000

Missing values

2023-12-11T08:47:22.420040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:47:22.526751image/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

업종명업소명영업소주소(도로명)영업소주소(지번)위도경도전화번호영업시작일기준일자
0목욕장업계룡목욕탕경상남도 거제시 거제중앙로 1879-1 (고현동)경상남도 거제시 고현동 98-1534.886055128.624032055-635-21492008-07-012021-08-30
1목욕장업부영탕경상남도 거제시 능포로2길 57 (능포동)경상남도 거제시 능포동 664-234.876303128.732408055-681-48502008-01-182021-08-30
2목욕장업옥수탕경상남도 거제시 거제면 동상1길 11경상남도 거제시 거제면 동상리 635-134.849807128.593421055-633-35041981-09-052021-08-30
3목욕장업능수탕경상남도 거제시 옥수로6길 153 (능포동)경상남도 거제시 능포동 449-234.88049128.73472055-681-82122019-12-102021-08-30
4목욕장업은하탕경상남도 거제시 능포로2길 65-1 (능포동)경상남도 거제시 능포동 332-634.877079128.732646055-681-45122005-09-232021-08-30
5목욕장업대원탕경상남도 거제시 능포로 150-1경상남도 거제시 능포동 660-134.876799128.732351055-682-23332012-02-152021-08-30
6목욕장업성호탕경상남도 거제시 거제중앙로17길 26 (고현동)경상남도 거제시 고현동 735-234.884246128.622227055-632-04762002-03-122021-08-30
7목욕장업동남탕경상남도 거제시 거제면 읍내로11길 8경상남도 거제시 거제면 남동리 11234.849596128.58906055-632-97771985-10-182021-08-30
8목욕장업청금탕경상남도 거제시 옥포로24길 13 (옥포동)경상남도 거제시 옥포동 512-1334.895936128.692076055-687-28742004-01-122021-08-30
9목욕장업연초탕경상남도 거제시 연초면 거제북로 40-1경상남도 거제시 연초면 죽토리 1104-1534.914266128.655897055-636-01351998-03-112021-08-30
업종명업소명영업소주소(도로명)영업소주소(지번)위도경도전화번호영업시작일기준일자
31목욕장업금세기관광목장황토찜질방경상남도 거제시 사등면 언양로 320경상남도 거제시 사등면 사등리 1316-1634.888199128.538001055-636-37272009-09-102021-08-30
32목욕장업옥포24시사우나경상남도 거제시 옥포대첩로6길 13 (옥포동,(1층~5층))경상남도 거제시 옥포동 542-2 (1층~5층)34.892918128.694165055-687-92152019-07-242021-08-30
33목욕장업카멜리아경상남도 거제시 일운면 거제대로 2190 (지하3층)경상남도 거제시 일운면 와현리 622 지하3층34.811491128.704007055-730-11002014-10-282021-08-30
34목욕장업거제황토파라스파찜질방경상남도 거제시 거제면 오수2길 75경상남도 거제시 거제면 오수리 673-134.842309128.592412055-632-88092013-01-182021-08-30
35목욕장업소노캄거제목욕장(사우나)경상남도 거제시 일운면 거제대로 2660, 지2,지3층 (외36필지)경상남도 거제시 일운면 소동리 115 외36필지 지2층,지3층34.843791128.702943055-773-72012021-05-272021-08-30
36목욕장업바토해수찜리조트경상남도 거제시 동부면 거제중앙로 20, 1~3층경상남도 거제시 동부면 학동리 266-6 1층~3층34.776671128.640803055-637-05052021-02-152021-08-30
37목욕장업아주사우나 휘트니스 찜질방경상남도 거제시 아주로9길 7 (아주동)경상남도 거제시 아주동 1271 외 7필지34.865729128.68041055-682-17802015-03-032021-08-30
38목욕장업사우나경상남도 거제시 장목면 거제북로 2501-40, 한화리조트 거제 벨버디어 지하3층경상남도 거제시 장목면 농소리 25 한화리조트 거제 벨버디어35.007888128.7121191670-99772018-09-202021-08-30
39목욕장업일운목욕탕경상남도 거제시 일운면 지세포해안로 97, 지세포어민복지센타 2층경상남도 거제시 일운면 지세포리 931-57 지세포어민복지센타34.829682128.70587055-682-05352019-06-052021-08-30
40목욕장업거제시하나행복나눔복지회관목욕장경상남도 거제시 동부면 동부로2길 21, 거제시하나행복나눔복지회관 1층경상남도 거제시 동부면 산양리 36334.822064128.606882055-636-11032021-02-152021-08-30