Overview

Dataset statistics

Number of variables6
Number of observations560
Missing cells468
Missing cells (%)13.9%
Duplicate rows2
Duplicate rows (%)0.4%
Total size in memory27.5 KiB
Average record size in memory50.2 B

Variable types

Text4
Numeric2

Dataset

Description전북특별자치도 전주시의 편의점을 제공하며, 상호명, 소재지도로명주소, 소재지지번주소, 위도, 경도, 전화번호를 제공합니다.항목 : 상호명, 소재지도로명주소, 소재지지번주소, 위도, 경도, 전화번호제공부서 : 정보화정책과
Author전북특별자치도 전주시
URLhttps://www.data.go.kr/data/15113231/fileData.do

Alerts

Dataset has 2 (0.4%) duplicate rowsDuplicates
전화번호 has 468 (83.6%) missing valuesMissing

Reproduction

Analysis started2024-03-14 12:56:29.095066
Analysis finished2024-03-14 12:56:31.484399
Duration2.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호명
Text

Distinct558
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2024-03-14T21:56:32.167710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length14
Mean length9.7696429
Min length5

Characters and Unicode

Total characters5471
Distinct characters281
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique556 ?
Unique (%)99.3%

Sample

1st rowCUKCC스위첸점
2nd rowCUSK코끼리주유소점
3rd rowCU객리단길점
4th rowCU고시점
5th rowCU공단대로점
ValueCountFrequency (%)
cu전주한옥태조로점 2
 
0.4%
cu전주대스타빌점 2
 
0.4%
gs25전주대뉴타운점 1
 
0.2%
gs25효문여중점 1
 
0.2%
gs25효자원룸점 1
 
0.2%
gs25효자시티점 1
 
0.2%
gs25효자센터점 1
 
0.2%
gs25하가빅스타점 1
 
0.2%
gs25효자서부점 1
 
0.2%
gs25효자꽃길점 1
 
0.2%
Other values (552) 552
97.9%
2024-03-14T21:56:33.498289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 559
 
10.2%
전 386
 
7.1%
주 355
 
6.5%
븐 344
 
6.3%
C 210
 
3.8%
U 202
 
3.7%
일 192
 
3.5%
2 191
 
3.5%
S 188
 
3.4%
G 187
 
3.4%
Other values (271) 2657
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4286
78.3%
Uppercase Letter 795
 
14.5%
Decimal Number 384
 
7.0%
Space Separator 4
 
0.1%
Dash Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 559
 
13.0%
전 386
 
9.0%
주 355
 
8.3%
븐 344
 
8.0%
일 192
 
4.5%
세 176
 
4.1%
레 174
 
4.1%
중 65
 
1.5%
대 63
 
1.5%
천 53
 
1.2%
Other values (256) 1919
44.8%
Uppercase Letter
ValueCountFrequency (%)
C 210
26.4%
U 202
25.4%
S 188
23.6%
G 187
23.5%
K 4
 
0.5%
I 3
 
0.4%
V 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
2 191
49.7%
5 186
48.4%
1 4
 
1.0%
7 2
 
0.5%
3 1
 
0.3%
Space Separator
ValueCountFrequency (%)
4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4286
78.3%
Latin 795
 
14.5%
Common 390
 
7.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 559
 
13.0%
전 386
 
9.0%
주 355
 
8.3%
븐 344
 
8.0%
일 192
 
4.5%
세 176
 
4.1%
레 174
 
4.1%
중 65
 
1.5%
대 63
 
1.5%
천 53
 
1.2%
Other values (256) 1919
44.8%
Common
ValueCountFrequency (%)
2 191
49.0%
5 186
47.7%
1 4
 
1.0%
4
 
1.0%
7 2
 
0.5%
- 1
 
0.3%
, 1
 
0.3%
3 1
 
0.3%
Latin
ValueCountFrequency (%)
C 210
26.4%
U 202
25.4%
S 188
23.6%
G 187
23.5%
K 4
 
0.5%
I 3
 
0.4%
V 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4286
78.3%
ASCII 1185
 
21.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 559
 
13.0%
전 386
 
9.0%
주 355
 
8.3%
븐 344
 
8.0%
일 192
 
4.5%
세 176
 
4.1%
레 174
 
4.1%
중 65
 
1.5%
대 63
 
1.5%
천 53
 
1.2%
Other values (256) 1919
44.8%
ASCII
ValueCountFrequency (%)
C 210
17.7%
U 202
17.0%
2 191
16.1%
S 188
15.9%
G 187
15.8%
5 186
15.7%
1 4
 
0.3%
K 4
 
0.3%
4
 
0.3%
I 3
 
0.3%
Other values (5) 6
 
0.5%

소재지도로명주소
Text

Distinct555
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2024-03-14T21:56:34.712140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length57
Mean length36.391071
Min length1

Characters and Unicode

Total characters20379
Distinct characters316
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique552 ?
Unique (%)98.6%

Sample

1st row전북특별자치도 전주시 덕진구 오송1길 37-13 (송천동1가)
2nd row전북특별자치도 전주시 완산구 거마평로 47 (삼천동1가)
3rd row전북특별자치도 전주시 완산구 전주객사2길 73 (다가동4가)
4th row전북특별자치도 전주시 덕진구 팔달로 356 진북동 (진북동)
5th row전북특별자치도 전주시 덕진구 기린대로 702 1층 (팔복동1가)
ValueCountFrequency (%)
전북특별자치도 556
 
14.2%
전주시 556
 
14.2%
완산구 282
 
7.2%
덕진구 274
 
7.0%
1층 172
 
4.4%
효자동3가 53
 
1.4%
금암동 39
 
1.0%
101호 37
 
0.9%
서신동 33
 
0.8%
인후동1가 32
 
0.8%
Other values (895) 1891
48.2%
2024-03-14T21:56:36.245908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3557
 
17.5%
전 1166
 
5.7%
1 946
 
4.6%
동 737
 
3.6%
자 675
 
3.3%
주 595
 
2.9%
북 590
 
2.9%
시 580
 
2.8%
도 567
 
2.8%
구 567
 
2.8%
Other values (306) 10399
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12963
63.6%
Space Separator 3557
 
17.5%
Decimal Number 2652
 
13.0%
Close Punctuation 555
 
2.7%
Open Punctuation 555
 
2.7%
Dash Punctuation 71
 
0.3%
Uppercase Letter 24
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 1166
 
9.0%
동 737
 
5.7%
자 675
 
5.2%
주 595
 
4.6%
북 590
 
4.6%
시 580
 
4.5%
도 567
 
4.4%
구 567
 
4.4%
별 558
 
4.3%
치 558
 
4.3%
Other values (278) 6370
49.1%
Uppercase Letter
ValueCountFrequency (%)
B 4
16.7%
E 3
12.5%
C 3
12.5%
S 2
8.3%
G 2
8.3%
I 2
8.3%
D 2
8.3%
L 1
 
4.2%
A 1
 
4.2%
K 1
 
4.2%
Other values (3) 3
12.5%
Decimal Number
ValueCountFrequency (%)
1 946
35.7%
2 443
16.7%
3 298
 
11.2%
0 228
 
8.6%
4 152
 
5.7%
5 148
 
5.6%
7 135
 
5.1%
6 122
 
4.6%
8 91
 
3.4%
9 89
 
3.4%
Space Separator
ValueCountFrequency (%)
3557
100.0%
Close Punctuation
ValueCountFrequency (%)
) 555
100.0%
Open Punctuation
ValueCountFrequency (%)
( 555
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 71
100.0%
Other Punctuation
ValueCountFrequency (%)
: 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12963
63.6%
Common 7392
36.3%
Latin 24
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 1166
 
9.0%
동 737
 
5.7%
자 675
 
5.2%
주 595
 
4.6%
북 590
 
4.6%
시 580
 
4.5%
도 567
 
4.4%
구 567
 
4.4%
별 558
 
4.3%
치 558
 
4.3%
Other values (278) 6370
49.1%
Common
ValueCountFrequency (%)
3557
48.1%
1 946
 
12.8%
) 555
 
7.5%
( 555
 
7.5%
2 443
 
6.0%
3 298
 
4.0%
0 228
 
3.1%
4 152
 
2.1%
5 148
 
2.0%
7 135
 
1.8%
Other values (5) 375
 
5.1%
Latin
ValueCountFrequency (%)
B 4
16.7%
E 3
12.5%
C 3
12.5%
S 2
8.3%
G 2
8.3%
I 2
8.3%
D 2
8.3%
L 1
 
4.2%
A 1
 
4.2%
K 1
 
4.2%
Other values (3) 3
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12963
63.6%
ASCII 7416
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3557
48.0%
1 946
 
12.8%
) 555
 
7.5%
( 555
 
7.5%
2 443
 
6.0%
3 298
 
4.0%
0 228
 
3.1%
4 152
 
2.0%
5 148
 
2.0%
7 135
 
1.8%
Other values (18) 399
 
5.4%
Hangul
ValueCountFrequency (%)
전 1166
 
9.0%
동 737
 
5.7%
자 675
 
5.2%
주 595
 
4.6%
북 590
 
4.6%
시 580
 
4.5%
도 567
 
4.4%
구 567
 
4.4%
별 558
 
4.3%
치 558
 
4.3%
Other values (278) 6370
49.1%

소재지지번주소
Text

Distinct558
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2024-03-14T21:56:37.180661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length57
Mean length34.791071
Min length25

Characters and Unicode

Total characters19483
Distinct characters240
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique556 ?
Unique (%)99.3%

Sample

1st row전북특별자치도 전주시 덕진구 송천동1가 97-6번지
2nd row전북특별자치도 전주시 완산구 삼천동1가 287-15번지
3rd row전북특별자치도 전주시 완산구 다가동4가 57-1번지
4th row전북특별자치도 전주시 덕진구 진북동 368-12번지 진북동
5th row전북특별자치도 전주시 덕진구 팔복동1가 139-15번지 1층
ValueCountFrequency (%)
전북특별자치도 560
16.3%
전주시 560
16.3%
완산구 285
 
8.3%
덕진구 275
 
8.0%
1층 174
 
5.1%
효자동3가 57
 
1.7%
금암동 43
 
1.2%
서신동 41
 
1.2%
인후동1가 37
 
1.1%
상가동 33
 
1.0%
Other values (814) 1380
40.1%
2024-03-14T21:56:38.592135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3268
 
16.8%
전 1147
 
5.9%
1 1110
 
5.7%
동 727
 
3.7%
자 675
 
3.5%
주 586
 
3.0%
시 583
 
3.0%
북 582
 
3.0%
지 580
 
3.0%
도 566
 
2.9%
Other values (230) 9659
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12182
62.5%
Decimal Number 3537
 
18.2%
Space Separator 3268
 
16.8%
Dash Punctuation 468
 
2.4%
Uppercase Letter 24
 
0.1%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 1147
 
9.4%
동 727
 
6.0%
자 675
 
5.5%
주 586
 
4.8%
시 583
 
4.8%
북 582
 
4.8%
지 580
 
4.8%
도 566
 
4.6%
별 562
 
4.6%
치 562
 
4.6%
Other values (204) 5612
46.1%
Uppercase Letter
ValueCountFrequency (%)
B 4
16.7%
E 3
12.5%
C 3
12.5%
S 2
8.3%
G 2
8.3%
I 2
8.3%
D 2
8.3%
A 1
 
4.2%
L 1
 
4.2%
M 1
 
4.2%
Other values (3) 3
12.5%
Decimal Number
ValueCountFrequency (%)
1 1110
31.4%
2 462
13.1%
3 348
 
9.8%
6 286
 
8.1%
0 283
 
8.0%
7 234
 
6.6%
5 231
 
6.5%
4 209
 
5.9%
8 202
 
5.7%
9 172
 
4.9%
Space Separator
ValueCountFrequency (%)
3268
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 468
100.0%
Other Punctuation
ValueCountFrequency (%)
: 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12182
62.5%
Common 7277
37.4%
Latin 24
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 1147
 
9.4%
동 727
 
6.0%
자 675
 
5.5%
주 586
 
4.8%
시 583
 
4.8%
북 582
 
4.8%
지 580
 
4.8%
도 566
 
4.6%
별 562
 
4.6%
치 562
 
4.6%
Other values (204) 5612
46.1%
Common
ValueCountFrequency (%)
3268
44.9%
1 1110
 
15.3%
- 468
 
6.4%
2 462
 
6.3%
3 348
 
4.8%
6 286
 
3.9%
0 283
 
3.9%
7 234
 
3.2%
5 231
 
3.2%
4 209
 
2.9%
Other values (3) 378
 
5.2%
Latin
ValueCountFrequency (%)
B 4
16.7%
E 3
12.5%
C 3
12.5%
S 2
8.3%
G 2
8.3%
I 2
8.3%
D 2
8.3%
A 1
 
4.2%
L 1
 
4.2%
M 1
 
4.2%
Other values (3) 3
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12182
62.5%
ASCII 7301
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3268
44.8%
1 1110
 
15.2%
- 468
 
6.4%
2 462
 
6.3%
3 348
 
4.8%
6 286
 
3.9%
0 283
 
3.9%
7 234
 
3.2%
5 231
 
3.2%
4 209
 
2.9%
Other values (16) 402
 
5.5%
Hangul
ValueCountFrequency (%)
전 1147
 
9.4%
동 727
 
6.0%
자 675
 
5.5%
주 586
 
4.8%
시 583
 
4.8%
북 582
 
4.8%
지 580
 
4.8%
도 566
 
4.6%
별 562
 
4.6%
치 562
 
4.6%
Other values (204) 5612
46.1%

위도
Real number (ℝ)

Distinct553
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.829504
Minimum35.766762
Maximum35.886716
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2024-03-14T21:56:38.998820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.766762
5-th percentile35.793413
Q135.81463
median35.830134
Q335.843618
95-th percentile35.868517
Maximum35.886716
Range0.11995408
Interquartile range (IQR)0.028987457

Descriptive statistics

Standard deviation0.022455281
Coefficient of variation (CV)0.00062672596
Kurtosis-0.43539761
Mean35.829504
Median Absolute Deviation (MAD)0.01431908
Skewness0.067567406
Sum20064.522
Variance0.00050423962
MonotonicityNot monotonic
2024-03-14T21:56:39.443850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.81616752 3
 
0.5%
35.81718896 2
 
0.4%
35.84788096 2
 
0.4%
35.81782843 2
 
0.4%
35.79981342 2
 
0.4%
35.81681235 2
 
0.4%
35.81966941 1
 
0.2%
35.85932315 1
 
0.2%
35.79848718 1
 
0.2%
35.8254752 1
 
0.2%
Other values (543) 543
97.0%
ValueCountFrequency (%)
35.76676158 1
0.2%
35.77856894 1
0.2%
35.78304648 1
0.2%
35.78321845 1
0.2%
35.78327738 1
0.2%
35.78341106 1
0.2%
35.78386437 1
0.2%
35.78442991 1
0.2%
35.78505463 1
0.2%
35.78510188 1
0.2%
ValueCountFrequency (%)
35.88671566 1
0.2%
35.88123874 1
0.2%
35.87988356 1
0.2%
35.87920917 1
0.2%
35.87790077 1
0.2%
35.87633737 1
0.2%
35.8761435 1
0.2%
35.87587933 1
0.2%
35.87488168 1
0.2%
35.87434205 1
0.2%

경도
Real number (ℝ)

Distinct553
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.12342
Minimum127.05599
Maximum127.17769
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2024-03-14T21:56:39.865181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.05599
5-th percentile127.07502
Q1127.10713
median127.12418
Q3127.14082
95-th percentile127.16802
Maximum127.17769
Range0.1217059
Interquartile range (IQR)0.0336986

Descriptive statistics

Standard deviation0.026683118
Coefficient of variation (CV)0.0002098993
Kurtosis-0.25206871
Mean127.12342
Median Absolute Deviation (MAD)0.0169615
Skewness-0.23851255
Sum71189.117
Variance0.00071198877
MonotonicityNot monotonic
2024-03-14T21:56:40.330144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0888808 3
 
0.5%
127.0857042 2
 
0.4%
127.1411028 2
 
0.4%
127.1356717 2
 
0.4%
127.1112167 2
 
0.4%
127.1550593 2
 
0.4%
127.1003056 1
 
0.2%
127.1519187 1
 
0.2%
127.1196286 1
 
0.2%
127.1041137 1
 
0.2%
Other values (543) 543
97.0%
ValueCountFrequency (%)
127.055988 1
0.2%
127.0563986 1
0.2%
127.0577596 1
0.2%
127.0587463 1
0.2%
127.0589961 1
0.2%
127.0592894 1
0.2%
127.0594959 1
0.2%
127.0599733 1
0.2%
127.0601209 1
0.2%
127.0601437 1
0.2%
ValueCountFrequency (%)
127.1776939 1
0.2%
127.1756922 1
0.2%
127.1747685 1
0.2%
127.1741642 1
0.2%
127.1736328 1
0.2%
127.1731173 1
0.2%
127.1729668 1
0.2%
127.1728906 1
0.2%
127.1728581 1
0.2%
127.1728136 1
0.2%

전화번호
Text

MISSING 

Distinct92
Distinct (%)100.0%
Missing468
Missing (%)83.6%
Memory size4.5 KiB
2024-03-14T21:56:41.282146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.076087
Min length12

Characters and Unicode

Total characters1111
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

Unique92 ?
Unique (%)100.0%

Sample

1st row063-272-8909
2nd row063-222-8086
3rd row063-903-6288
4th row063-255-2590
5th row070-7769-2564
ValueCountFrequency (%)
063-231-6285 1
 
1.1%
063-221-0258 1
 
1.1%
063-907-9500 1
 
1.1%
063-241-9434 1
 
1.1%
063-246-2949 1
 
1.1%
063-226-3339 1
 
1.1%
063-230-8990 1
 
1.1%
063-245-3774 1
 
1.1%
063-274-6305 1
 
1.1%
063-232-7441 1
 
1.1%
Other values (82) 82
89.1%
2024-03-14T21:56:42.598352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 184
16.6%
0 154
13.9%
3 150
13.5%
2 150
13.5%
6 124
11.2%
7 74
6.7%
5 66
 
5.9%
4 59
 
5.3%
9 57
 
5.1%
1 48
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 927
83.4%
Dash Punctuation 184
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 154
16.6%
3 150
16.2%
2 150
16.2%
6 124
13.4%
7 74
8.0%
5 66
7.1%
4 59
 
6.4%
9 57
 
6.1%
1 48
 
5.2%
8 45
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 184
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1111
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 184
16.6%
0 154
13.9%
3 150
13.5%
2 150
13.5%
6 124
11.2%
7 74
6.7%
5 66
 
5.9%
4 59
 
5.3%
9 57
 
5.1%
1 48
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1111
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 184
16.6%
0 154
13.9%
3 150
13.5%
2 150
13.5%
6 124
11.2%
7 74
6.7%
5 66
 
5.9%
4 59
 
5.3%
9 57
 
5.1%
1 48
 
4.3%

Interactions

2024-03-14T21:56:30.381105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:56:29.862993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:56:30.642475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:56:30.118724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T21:56:42.800233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도전화번호
위도1.0000.6151.000
경도0.6151.0001.000
전화번호1.0001.0001.000
2024-03-14T21:56:43.148959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.000-0.015
경도-0.0151.000

Missing values

2024-03-14T21:56:31.000190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T21:56:31.346401image/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

상호명소재지도로명주소소재지지번주소위도경도전화번호
0CUKCC스위첸점전북특별자치도 전주시 덕진구 오송1길 37-13 (송천동1가)전북특별자치도 전주시 덕진구 송천동1가 97-6번지35.863957127.130665063-272-8909
1CUSK코끼리주유소점전북특별자치도 전주시 완산구 거마평로 47 (삼천동1가)전북특별자치도 전주시 완산구 삼천동1가 287-15번지35.796888127.11667063-222-8086
2CU객리단길점전북특별자치도 전주시 완산구 전주객사2길 73 (다가동4가)전북특별자치도 전주시 완산구 다가동4가 57-1번지35.819922127.139744063-903-6288
3CU고시점전북특별자치도 전주시 덕진구 팔달로 356 진북동 (진북동)전북특별자치도 전주시 덕진구 진북동 368-12번지 진북동35.832276127.138116063-255-2590
4CU공단대로점전북특별자치도 전주시 덕진구 기린대로 702 1층 (팔복동1가)전북특별자치도 전주시 덕진구 팔복동1가 139-15번지 1층35.853875127.105212070-7769-2564
5CU국민연금관리공단점전북특별자치도 전주시 덕진구 기지로 180 만성동 (만성동)전북특별자치도 전주시 덕진구 만성동 1165번지 만성동35.837202127.072148<NA>
6CU금암본점전북특별자치도 전주시 덕진구 떡전4길 31 금암동 (금암동)전북특별자치도 전주시 덕진구 금암동 754-8번지 금암동35.836845127.130562063-275-7357
7CU금암스타점전북특별자치도 전주시 덕진구 떡전로 18 금암동 (금암동)전북특별자치도 전주시 덕진구 금암동 793-28번지 금암동35.836564127.127754<NA>
8CU금암원룸점전북특별자치도 전주시 덕진구 금암6길 21 금암동 (금암동)전북특별자치도 전주시 덕진구 금암동 533-10번지 금암동35.8387127.136475<NA>
9CU금암파크점전북특별자치도 전주시 덕진구 용산1길 12 1층 1호 금암상가(금암동 금암상가)전북특별자치도 전주시 덕진구 금암동 765-1번지 금암상가 금암상가 1층 1호35.83497127.130472063-252-7199
상호명소재지도로명주소소재지지번주소위도경도전화번호
550세븐일레븐전주효자마을점전북특별자치도 전주시 완산구 봉곡1길 36-2 (효자동2가)전북특별자치도 전주시 완산구 효자동2가 1250-3번지35.813004127.100845<NA>
551세븐일레븐전주효자봉곡로점전북특별자치도 전주시 완산구 봉곡1길 26 (효자동2가)전북특별자치도 전주시 완산구 효자동2가 1248-2번지35.813122127.099826<NA>
552세븐일레븐전주효자삼성점전북특별자치도 전주시 완산구 효자천변2길 10 1층 (효자동1가)전북특별자치도 전주시 완산구 효자동1가 650-3번지 1층35.805005127.113648<NA>
553세븐일레븐전주효자스토리점전북특별자치도 전주시 완산구 봉곡2길 23 101호 (효자동3가)전북특별자치도 전주시 완산구 효자동3가 1725-13번지 101호35.812977127.094826<NA>
554세븐일레븐전주효자점전북특별자치도 전주시 완산구 척동5길 19 (효자동3가)전북특별자치도 전주시 완산구 효자동3가 1654-1번지35.82314127.09792<NA>
555세븐일레븐전주효자행복점전북특별자치도 전주시 완산구 배학3길 13 (효자동3가)전북특별자치도 전주시 완산구 효자동3가 1677-1번지35.819778127.095502<NA>
556세븐일레븐전주효자휴먼시아점전북특별자치도 전주시 완산구 용호로 34 (효자동2가)전북특별자치도 전주시 완산구 효자동2가 1201-2번지35.807429127.100255<NA>
557세븐일레븐전주효자희망점전북특별자치도 전주시 완산구 척동8길 5-2 (효자동3가)전북특별자치도 전주시 완산구 효자동3가 1635-10번지35.823665127.100615<NA>
558세븐일레븐전주효천세종점전북특별자치도 전주시 완산구 효자동2가 1326-4번지 1층 108 109호35.803506127.103508<NA>
559세븐일레븐전주효천점전북특별자치도 전주시 완산구 효천천변길 24 (효자동2가)전북특별자치도 전주시 완산구 효자동2가 1359-6번지35.80181127.102177<NA>

Duplicate rows

Most frequently occurring

상호명소재지도로명주소소재지지번주소위도경도전화번호# duplicates
0CU전주대스타빌점전북특별자치도 전주시 완산구 백마산길 67-7 노벨가 1층 (효자동3가)전북특별자치도 전주시 완산구 효자동3가 1339번지 노벨가 1층35.817189127.085704<NA>2
1CU전주한옥태조로점전북특별자치도 전주시 완산구 간납로 1 (풍남동3가)전북특별자치도 전주시 완산구 풍남동3가 26-21번지35.816812127.155059<NA>2