Overview

Dataset statistics

Number of variables8
Number of observations3277
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory214.5 KiB
Average record size in memory67.0 B

Variable types

Numeric3
Categorical2
Text2
DateTime1

Dataset

Description경상남도 거제시 거제사랑상품권가맹점현황(가맹번호, 지역, 업종, 상호, 소재지, 위도, 경도, 기준일자)에 대한 정보를 제공합니다.
Author경상남도 거제시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3080038

Alerts

기준일자 has constant value ""Constant
위도 is highly overall correlated with 지역High correlation
경도 is highly overall correlated with 지역High correlation
지역 is highly overall correlated with 위도 and 1 other fieldsHigh correlation

Reproduction

Analysis started2024-04-17 18:15:18.180562
Analysis finished2024-04-17 18:15:19.634086
Duration1.45 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

가맹번호
Real number (ℝ)

Distinct3274
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2914.9292
Minimum2
Maximum4813
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.9 KiB
2024-04-18T03:15:19.690166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile340.6
Q12055
median3171
Q33992
95-th percentile4649.2
Maximum4813
Range4811
Interquartile range (IQR)1937

Descriptive statistics

Standard deviation1332.796
Coefficient of variation (CV)0.45723101
Kurtosis-0.69051179
Mean2914.9292
Median Absolute Deviation (MAD)908
Skewness-0.60759214
Sum9552223
Variance1776345.3
MonotonicityIncreasing
2024-04-18T03:15:19.793946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1133 2
 
0.1%
47 2
 
0.1%
351 2
 
0.1%
3726 1
 
< 0.1%
3717 1
 
< 0.1%
3718 1
 
< 0.1%
3719 1
 
< 0.1%
3720 1
 
< 0.1%
3721 1
 
< 0.1%
3722 1
 
< 0.1%
Other values (3264) 3264
99.6%
ValueCountFrequency (%)
2 1
< 0.1%
3 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
10 1
< 0.1%
12 1
< 0.1%
14 1
< 0.1%
22 1
< 0.1%
23 1
< 0.1%
24 1
< 0.1%
ValueCountFrequency (%)
4813 1
< 0.1%
4812 1
< 0.1%
4811 1
< 0.1%
4810 1
< 0.1%
4809 1
< 0.1%
4808 1
< 0.1%
4807 1
< 0.1%
4806 1
< 0.1%
4805 1
< 0.1%
4804 1
< 0.1%

지역
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
고현동
1079 
옥포동
481 
장평동
346 
상문동
252 
수양동
216 
Other values (16)
903 

Length

Max length4
Median length3
Mean length3.0335673
Min length3

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row고현동
2nd row수양동
3rd row장평동
4th row장승포동
5th row장평동

Common Values

ValueCountFrequency (%)
고현동 1079
32.9%
옥포동 481
14.7%
장평동 346
 
10.6%
상문동 252
 
7.7%
수양동 216
 
6.6%
아주동 198
 
6.0%
사등면 137
 
4.2%
장승포동 106
 
3.2%
능포동 103
 
3.1%
연초면 102
 
3.1%
Other values (11) 257
 
7.8%

Length

2024-04-18T03:15:19.891009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고현동 1082
33.0%
옥포동 482
14.7%
장평동 346
 
10.6%
상문동 252
 
7.7%
수양동 216
 
6.6%
아주동 198
 
6.0%
사등면 137
 
4.2%
장승포동 106
 
3.2%
능포동 103
 
3.1%
연초면 102
 
3.1%
Other values (8) 253
 
7.7%

업종
Categorical

Distinct19
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
도소매
1468 
일반음식점
900 
이미용
229 
휴게음식
216 
서비스
192 
Other values (14)
272 

Length

Max length6
Median length3
Mean length3.6542569
Min length2

Unique

Unique5 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
도소매 1468
44.8%
일반음식점 900
27.5%
이미용 229
 
7.0%
휴게음식 216
 
6.6%
서비스 192
 
5.9%
주유소 65
 
2.0%
보건업 53
 
1.6%
교육서비스 49
 
1.5%
제조업 34
 
1.0%
숙박업 25
 
0.8%
Other values (9) 46
 
1.4%

Length

2024-04-18T03:15:19.989106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
도소매 1468
44.8%
일반음식점 900
27.5%
이미용 229
 
7.0%
휴게음식 216
 
6.6%
서비스 192
 
5.9%
주유소 65
 
2.0%
보건업 53
 
1.6%
교육서비스 49
 
1.5%
제조업 34
 
1.0%
숙박업 25
 
0.8%
Other values (9) 46
 
1.4%

상호
Text

Distinct3237
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
2024-04-18T03:15:20.246110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length21
Mean length6.9594141
Min length1

Characters and Unicode

Total characters22806
Distinct characters849
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

Unique3201 ?
Unique (%)97.7%

Sample

1st row다수리부분정비
2nd row형제명품손세차
3rd row㈜두리원
4th row경인주유소
5th row새거제주유소
ValueCountFrequency (%)
씨유 70
 
1.7%
거제고현점 51
 
1.2%
거제점 48
 
1.1%
gs25 34
 
0.8%
고현점 33
 
0.8%
세븐일레븐 31
 
0.7%
주식회사 27
 
0.6%
장평점 20
 
0.5%
아주점 18
 
0.4%
옥포동점 17
 
0.4%
Other values (3482) 3873
91.7%
2024-04-18T03:15:20.822783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
962
 
4.2%
854
 
3.7%
652
 
2.9%
625
 
2.7%
397
 
1.7%
379
 
1.7%
303
 
1.3%
292
 
1.3%
285
 
1.2%
253
 
1.1%
Other values (839) 17804
78.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20294
89.0%
Space Separator 962
 
4.2%
Uppercase Letter 496
 
2.2%
Decimal Number 251
 
1.1%
Open Punctuation 226
 
1.0%
Close Punctuation 226
 
1.0%
Lowercase Letter 196
 
0.9%
Other Punctuation 93
 
0.4%
Other Symbol 54
 
0.2%
Dash Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
854
 
4.2%
652
 
3.2%
625
 
3.1%
397
 
2.0%
379
 
1.9%
303
 
1.5%
292
 
1.4%
285
 
1.4%
253
 
1.2%
243
 
1.2%
Other values (765) 16011
78.9%
Uppercase Letter
ValueCountFrequency (%)
S 76
15.3%
G 56
 
11.3%
B 37
 
7.5%
C 29
 
5.8%
O 25
 
5.0%
A 25
 
5.0%
M 22
 
4.4%
E 22
 
4.4%
K 21
 
4.2%
L 21
 
4.2%
Other values (16) 162
32.7%
Lowercase Letter
ValueCountFrequency (%)
a 26
13.3%
e 24
12.2%
o 23
11.7%
l 14
 
7.1%
i 13
 
6.6%
r 13
 
6.6%
s 12
 
6.1%
n 11
 
5.6%
t 9
 
4.6%
m 7
 
3.6%
Other values (12) 44
22.4%
Decimal Number
ValueCountFrequency (%)
2 83
33.1%
5 65
25.9%
1 23
 
9.2%
0 21
 
8.4%
4 17
 
6.8%
6 14
 
5.6%
3 10
 
4.0%
7 7
 
2.8%
9 7
 
2.8%
8 4
 
1.6%
Other Punctuation
ValueCountFrequency (%)
& 32
34.4%
. 31
33.3%
22
23.7%
/ 2
 
2.2%
' 2
 
2.2%
# 2
 
2.2%
; 1
 
1.1%
: 1
 
1.1%
Open Punctuation
ValueCountFrequency (%)
( 225
99.6%
[ 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 225
99.6%
] 1
 
0.4%
Space Separator
ValueCountFrequency (%)
962
100.0%
Other Symbol
ValueCountFrequency (%)
54
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20343
89.2%
Common 1766
 
7.7%
Latin 692
 
3.0%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
854
 
4.2%
652
 
3.2%
625
 
3.1%
397
 
2.0%
379
 
1.9%
303
 
1.5%
292
 
1.4%
285
 
1.4%
253
 
1.2%
243
 
1.2%
Other values (762) 16060
78.9%
Latin
ValueCountFrequency (%)
S 76
 
11.0%
G 56
 
8.1%
B 37
 
5.3%
C 29
 
4.2%
a 26
 
3.8%
O 25
 
3.6%
A 25
 
3.6%
e 24
 
3.5%
o 23
 
3.3%
M 22
 
3.2%
Other values (38) 349
50.4%
Common
ValueCountFrequency (%)
962
54.5%
( 225
 
12.7%
) 225
 
12.7%
2 83
 
4.7%
5 65
 
3.7%
& 32
 
1.8%
. 31
 
1.8%
1 23
 
1.3%
22
 
1.2%
0 21
 
1.2%
Other values (15) 77
 
4.4%
Han
ValueCountFrequency (%)
2
40.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20289
89.0%
ASCII 2436
 
10.7%
None 76
 
0.3%
CJK 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
962
39.5%
( 225
 
9.2%
) 225
 
9.2%
2 83
 
3.4%
S 76
 
3.1%
5 65
 
2.7%
G 56
 
2.3%
B 37
 
1.5%
& 32
 
1.3%
. 31
 
1.3%
Other values (62) 644
26.4%
Hangul
ValueCountFrequency (%)
854
 
4.2%
652
 
3.2%
625
 
3.1%
397
 
2.0%
379
 
1.9%
303
 
1.5%
292
 
1.4%
285
 
1.4%
253
 
1.2%
243
 
1.2%
Other values (761) 16006
78.9%
None
ValueCountFrequency (%)
54
71.1%
22
28.9%
CJK
ValueCountFrequency (%)
2
40.0%
1
20.0%
1
20.0%
1
20.0%
Distinct3136
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
2024-04-18T03:15:21.053046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length48
Mean length25.226427
Min length9

Characters and Unicode

Total characters82667
Distinct characters335
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3019 ?
Unique (%)92.1%

Sample

1st row경상남도 거제시 중곡2로4길 8
2nd row경상남도 거제시 수양로 488-1 (양정동)
3rd row경상남도 거제시 거제대로 4943-8 (장평동)
4th row경상남도 거제시 장승포동 627
5th row경상남도 거제시 장평동 861-3
ValueCountFrequency (%)
거제시 3278
20.5%
경상남도 3277
20.5%
고현동 725
 
4.5%
옥포동 376
 
2.4%
거제중앙로 323
 
2.0%
장평동 248
 
1.6%
상동동 140
 
0.9%
사등면 136
 
0.9%
수양로 133
 
0.8%
아주동 131
 
0.8%
Other values (3115) 7193
45.1%
2024-04-18T03:15:21.386327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12746
 
15.4%
1 4512
 
5.5%
4123
 
5.0%
4088
 
4.9%
3815
 
4.6%
3488
 
4.2%
3342
 
4.0%
3313
 
4.0%
3295
 
4.0%
3284
 
4.0%
Other values (325) 36661
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48132
58.2%
Decimal Number 14839
 
18.0%
Space Separator 12746
 
15.4%
Open Punctuation 2079
 
2.5%
Close Punctuation 2079
 
2.5%
Other Punctuation 1689
 
2.0%
Dash Punctuation 1025
 
1.2%
Uppercase Letter 62
 
0.1%
Math Symbol 10
 
< 0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4123
 
8.6%
4088
 
8.5%
3815
 
7.9%
3488
 
7.2%
3342
 
6.9%
3313
 
6.9%
3295
 
6.8%
3284
 
6.8%
2181
 
4.5%
1199
 
2.5%
Other values (292) 16004
33.3%
Uppercase Letter
ValueCountFrequency (%)
B 38
61.3%
A 14
 
22.6%
K 2
 
3.2%
R 1
 
1.6%
P 1
 
1.6%
I 1
 
1.6%
J 1
 
1.6%
E 1
 
1.6%
S 1
 
1.6%
C 1
 
1.6%
Decimal Number
ValueCountFrequency (%)
1 4512
30.4%
2 1913
12.9%
3 1407
 
9.5%
0 1379
 
9.3%
4 1198
 
8.1%
5 1129
 
7.6%
8 894
 
6.0%
9 804
 
5.4%
7 803
 
5.4%
6 800
 
5.4%
Other Punctuation
ValueCountFrequency (%)
1662
98.4%
. 21
 
1.2%
/ 4
 
0.2%
@ 2
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 4
66.7%
c 1
 
16.7%
b 1
 
16.7%
Space Separator
ValueCountFrequency (%)
12746
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2079
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2079
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1025
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48132
58.2%
Common 34467
41.7%
Latin 68
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4123
 
8.6%
4088
 
8.5%
3815
 
7.9%
3488
 
7.2%
3342
 
6.9%
3313
 
6.9%
3295
 
6.8%
3284
 
6.8%
2181
 
4.5%
1199
 
2.5%
Other values (292) 16004
33.3%
Common
ValueCountFrequency (%)
12746
37.0%
1 4512
 
13.1%
( 2079
 
6.0%
) 2079
 
6.0%
2 1913
 
5.6%
1662
 
4.8%
3 1407
 
4.1%
0 1379
 
4.0%
4 1198
 
3.5%
5 1129
 
3.3%
Other values (9) 4363
 
12.7%
Latin
ValueCountFrequency (%)
B 38
55.9%
A 14
 
20.6%
e 4
 
5.9%
K 2
 
2.9%
R 1
 
1.5%
P 1
 
1.5%
I 1
 
1.5%
c 1
 
1.5%
J 1
 
1.5%
E 1
 
1.5%
Other values (4) 4
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48132
58.2%
ASCII 32873
39.8%
None 1662
 
2.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12746
38.8%
1 4512
 
13.7%
( 2079
 
6.3%
) 2079
 
6.3%
2 1913
 
5.8%
3 1407
 
4.3%
0 1379
 
4.2%
4 1198
 
3.6%
5 1129
 
3.4%
- 1025
 
3.1%
Other values (22) 3406
 
10.4%
Hangul
ValueCountFrequency (%)
4123
 
8.6%
4088
 
8.5%
3815
 
7.9%
3488
 
7.2%
3342
 
6.9%
3313
 
6.9%
3295
 
6.8%
3284
 
6.8%
2181
 
4.5%
1199
 
2.5%
Other values (292) 16004
33.3%
None
ValueCountFrequency (%)
1662
100.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct2047
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.884407
Minimum34.733405
Maximum35.016023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.9 KiB
2024-04-18T03:15:21.491266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.733405
5-th percentile34.850187
Q134.876603
median34.886542
Q334.893504
95-th percentile34.910788
Maximum35.016023
Range0.28261856
Interquartile range (IQR)0.01690092

Descriptive statistics

Standard deviation0.022119542
Coefficient of variation (CV)0.00063408105
Kurtosis9.5318382
Mean34.884407
Median Absolute Deviation (MAD)0.0074496
Skewness-0.18409443
Sum114316.2
Variance0.00048927413
MonotonicityNot monotonic
2024-04-18T03:15:21.605334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.88184762 244
 
7.4%
34.89507204 65
 
2.0%
34.91049107 16
 
0.5%
34.88625409 15
 
0.5%
34.88732595 11
 
0.3%
34.88820174 10
 
0.3%
34.89026208 10
 
0.3%
34.8938292 10
 
0.3%
34.89699685 10
 
0.3%
34.8898048 10
 
0.3%
Other values (2037) 2876
87.8%
ValueCountFrequency (%)
34.73340451 1
< 0.1%
34.73762473 1
< 0.1%
34.73824981 2
0.1%
34.74331041 1
< 0.1%
34.77107254 1
< 0.1%
34.77303557 1
< 0.1%
34.77330306 1
< 0.1%
34.77395734 1
< 0.1%
34.77592623 1
< 0.1%
34.7764196 1
< 0.1%
ValueCountFrequency (%)
35.01602307 1
< 0.1%
35.00487907 1
< 0.1%
34.99871986 1
< 0.1%
34.99575924 1
< 0.1%
34.99126474 1
< 0.1%
34.99110281 1
< 0.1%
34.990874 2
0.1%
34.99077954 1
< 0.1%
34.98877008 1
< 0.1%
34.9884155 1
< 0.1%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct2044
Distinct (%)62.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.64365
Minimum128.47285
Maximum128.73891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.9 KiB
2024-04-18T03:15:21.719997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.47285
5-th percentile128.58477
Q1128.62259
median128.62898
Q3128.68905
95-th percentile128.72531
Maximum128.73891
Range0.2660626
Interquartile range (IQR)0.0664566

Descriptive statistics

Standard deviation0.044614327
Coefficient of variation (CV)0.00034680551
Kurtosis1.2539154
Mean128.64365
Median Absolute Deviation (MAD)0.0117987
Skewness-0.27468201
Sum421565.24
Variance0.0019904381
MonotonicityNot monotonic
2024-04-18T03:15:21.828785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.6215655 244
 
7.4%
128.6931111 65
 
2.0%
128.5254701 16
 
0.5%
128.6236554 15
 
0.5%
128.6238277 11
 
0.3%
128.6276757 10
 
0.3%
128.6243422 10
 
0.3%
128.6300914 10
 
0.3%
128.6221069 10
 
0.3%
128.6235608 10
 
0.3%
Other values (2034) 2876
87.8%
ValueCountFrequency (%)
128.4728484 1
< 0.1%
128.4758429 1
< 0.1%
128.4768365 1
< 0.1%
128.4768869 1
< 0.1%
128.4769042 1
< 0.1%
128.4769296 1
< 0.1%
128.4770539 1
< 0.1%
128.4771978 1
< 0.1%
128.4772536 1
< 0.1%
128.4772779 1
< 0.1%
ValueCountFrequency (%)
128.738911 2
0.1%
128.7375595 1
< 0.1%
128.7374078 1
< 0.1%
128.7370418 1
< 0.1%
128.7370267 1
< 0.1%
128.7369813 1
< 0.1%
128.7369491 1
< 0.1%
128.7369205 1
< 0.1%
128.7365363 1
< 0.1%
128.7364884 1
< 0.1%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
Minimum2021-09-16 00:00:00
Maximum2021-09-16 00:00:00
2024-04-18T03:15:21.906685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:15:21.993476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-18T03:15:19.270734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:15:18.846416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:15:19.053209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:15:19.339988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:15:18.911761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:15:19.119910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:15:19.411378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:15:18.983945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:15:19.193263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-18T03:15:22.063896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
가맹번호지역업종위도경도
가맹번호1.0000.1790.2460.1620.185
지역0.1791.0000.2190.9330.926
업종0.2460.2191.0000.2390.232
위도0.1620.9330.2391.0000.731
경도0.1850.9260.2320.7311.000
2024-04-18T03:15:22.138450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종지역
업종1.0000.065
지역0.0651.000
2024-04-18T03:15:22.200683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
가맹번호위도경도지역업종
가맹번호1.000-0.0470.0350.0670.094
위도-0.0471.000-0.0620.7000.091
경도0.035-0.0621.0000.6810.089
지역0.0670.7000.6811.0000.065
업종0.0940.0910.0890.0651.000

Missing values

2024-04-18T03:15:19.506081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-18T03:15:19.595976image/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

가맹번호지역업종상호소재지위도경도기준일자
02고현동서비스다수리부분정비경상남도 거제시 중곡2로4길 834.894784128.6266632021-09-16
13수양동서비스형제명품손세차경상남도 거제시 수양로 488-1 (양정동)34.891652128.6378322021-09-16
26장평동일반음식점㈜두리원경상남도 거제시 거제대로 4943-8 (장평동)34.88904128.5967092021-09-16
37장승포동주유소경인주유소경상남도 거제시 장승포동 62734.859141128.7207622021-09-16
410장평동주유소새거제주유소경상남도 거제시 장평동 861-334.895003128.5865442021-09-16
512고현동주유소신진주유소경상남도 거제시 고현동 17-134.889885128.6275012021-09-16
614고현동일반음식점장충동B&F왕족발보쌈경상남도 거제시 서문로 79(고현동)34.890262128.6243422021-09-16
722능포동도소매대우식육점경상남도 거제시 능포동 681-634.875464128.7317122021-09-16
823고현동도소매토마토경상남도 거제시 거제중앙로 1905(고현동)34.888052128.6228812021-09-16
924옥포동도소매동은 BYC경상남도 거제시 옥포동 525-1534.894433128.6898562021-09-16
가맹번호지역업종상호소재지위도경도기준일자
32674804고현동소매업거제청과경상남도 거제시 거제중앙로 1871-134.885412128.624362021-09-16
32684805장승포동숙박업휴모텔경상남도 거제시 장승포동해안로 10,2~6층 (장승포동)34.881848128.6215662021-09-16
32694806고현동음식점업고기극찬경상남도 거제시 중곡로 1334.893829128.6300912021-09-16
32704807수양동음식점업더벤티수월점경상남도 거제시 수양로 457,1층 (수월동,글로리빌딩)34.892321128.6409662021-09-16
32714808장평동서비스바른마음 바른체형 힐링센터경상남도 거제시 장평1로 87,4층 403호34.881848128.6215662021-09-16
32724809수양동음식점업도미노피자 거제수양점경상남도 거제시 해명로 22-1034.894559128.6422422021-09-16
32734810상문동음식점업고냉삼경상남도 거제시 상동5길 1134.868366128.6364152021-09-16
32744811사등면주유소청포에너지경상남도 거제시 사등면 거제대로 607034.895509128.4998162021-09-16
32754812고현동미용업모모살롱경상남도 거제시 중곡2로6길 2734.893148128.6293532021-09-16
32764813고현동도소매커튼명가 창경상남도 거제시 거제중앙로 1854 (고현동)34.883837128.6255522021-09-16