Overview

Dataset statistics

Number of variables6
Number of observations2214
Missing cells99
Missing cells (%)0.7%
Duplicate rows27
Duplicate rows (%)1.2%
Total size in memory108.2 KiB
Average record size in memory50.1 B

Variable types

Text3
Numeric2
Categorical1

Dataset

Description전북특별자치도 전주시 내 의료기기 판매업소 현황입니다.항목 : 영업소명, 영업소소재지(도로명), 영업소소재지(지번), 위도, 경도자료제공 : 보건소 보건행정과
Author전북특별자치도 전주시
URLhttps://www.data.go.kr/data/15053259/fileData.do

Alerts

데이터기준일 has constant value ""Constant
Dataset has 27 (1.2%) duplicate rowsDuplicates
영업소소재지(지번) has 33 (1.5%) missing valuesMissing
위도 has 33 (1.5%) missing valuesMissing
경도 has 33 (1.5%) missing valuesMissing

Reproduction

Analysis started2024-03-15 02:06:11.652967
Analysis finished2024-03-15 02:06:14.103317
Duration2.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

영업소명
Text

Distinct2078
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size17.4 KiB
2024-03-15T11:06:14.861741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length21
Mean length7.7041554
Min length2

Characters and Unicode

Total characters17057
Distinct characters587
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1958 ?
Unique (%)88.4%

Sample

1st row누리코리아
2nd row다비치안경전주객사중앙점
3rd row전주맑은소리보청기
4th row세화E.N.G
5th row비엠헬스케어
ValueCountFrequency (%)
세븐일레븐 114
 
4.3%
주식회사 39
 
1.5%
유한회사 20
 
0.7%
주)코리아세븐 16
 
0.6%
주)하이프라자 12
 
0.4%
전주점 10
 
0.4%
쉔픽스의료기 9
 
0.3%
송천점 7
 
0.3%
뉴랜드알로에 7
 
0.3%
평화점 6
 
0.2%
Other values (2133) 2429
91.0%
2024-03-15T11:06:16.425048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 701
 
4.1%
점 660
 
3.9%
전 517
 
3.0%
456
 
2.7%
디 446
 
2.6%
메 440
 
2.6%
이 419
 
2.5%
스 401
 
2.4%
기 378
 
2.2%
) 337
 
2.0%
Other values (577) 12302
72.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14894
87.3%
Uppercase Letter 555
 
3.3%
Space Separator 456
 
2.7%
Close Punctuation 337
 
2.0%
Open Punctuation 331
 
1.9%
Decimal Number 291
 
1.7%
Lowercase Letter 129
 
0.8%
Other Symbol 31
 
0.2%
Other Punctuation 24
 
0.1%
Dash Punctuation 6
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 701
 
4.7%
점 660
 
4.4%
전 517
 
3.5%
디 446
 
3.0%
메 440
 
3.0%
이 419
 
2.8%
스 401
 
2.7%
기 378
 
2.5%
의 293
 
2.0%
료 280
 
1.9%
Other values (512) 10359
69.6%
Uppercase Letter
ValueCountFrequency (%)
S 141
25.4%
G 125
22.5%
C 58
10.5%
U 41
 
7.4%
M 27
 
4.9%
H 21
 
3.8%
B 16
 
2.9%
E 15
 
2.7%
I 14
 
2.5%
J 13
 
2.3%
Other values (13) 84
15.1%
Lowercase Letter
ValueCountFrequency (%)
e 28
21.7%
d 11
 
8.5%
i 10
 
7.8%
c 9
 
7.0%
n 9
 
7.0%
a 9
 
7.0%
t 7
 
5.4%
l 7
 
5.4%
h 6
 
4.7%
m 5
 
3.9%
Other values (12) 28
21.7%
Decimal Number
ValueCountFrequency (%)
2 125
43.0%
5 122
41.9%
3 16
 
5.5%
1 8
 
2.7%
0 6
 
2.1%
7 5
 
1.7%
6 5
 
1.7%
4 3
 
1.0%
8 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
& 12
50.0%
. 10
41.7%
, 2
 
8.3%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
< 1
50.0%
Space Separator
ValueCountFrequency (%)
456
100.0%
Close Punctuation
ValueCountFrequency (%)
) 337
100.0%
Open Punctuation
ValueCountFrequency (%)
( 331
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14920
87.5%
Common 1447
 
8.5%
Latin 685
 
4.0%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 701
 
4.7%
점 660
 
4.4%
전 517
 
3.5%
디 446
 
3.0%
메 440
 
2.9%
이 419
 
2.8%
스 401
 
2.7%
기 378
 
2.5%
의 293
 
2.0%
료 280
 
1.9%
Other values (508) 10385
69.6%
Latin
ValueCountFrequency (%)
S 141
20.6%
G 125
18.2%
C 58
 
8.5%
U 41
 
6.0%
e 28
 
4.1%
M 27
 
3.9%
H 21
 
3.1%
B 16
 
2.3%
E 15
 
2.2%
I 14
 
2.0%
Other values (36) 199
29.1%
Common
ValueCountFrequency (%)
456
31.5%
) 337
23.3%
( 331
22.9%
2 125
 
8.6%
5 122
 
8.4%
3 16
 
1.1%
& 12
 
0.8%
. 10
 
0.7%
1 8
 
0.6%
0 6
 
0.4%
Other values (8) 24
 
1.7%
Han
ValueCountFrequency (%)
情 1
20.0%
昇 1
20.0%
志 1
20.0%
東 1
20.0%
玗 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14889
87.3%
ASCII 2131
 
12.5%
None 31
 
0.2%
CJK 5
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 701
 
4.7%
점 660
 
4.4%
전 517
 
3.5%
디 446
 
3.0%
메 440
 
3.0%
이 419
 
2.8%
스 401
 
2.7%
기 378
 
2.5%
의 293
 
2.0%
료 280
 
1.9%
Other values (507) 10354
69.5%
ASCII
ValueCountFrequency (%)
456
21.4%
) 337
15.8%
( 331
15.5%
S 141
 
6.6%
2 125
 
5.9%
G 125
 
5.9%
5 122
 
5.7%
C 58
 
2.7%
U 41
 
1.9%
e 28
 
1.3%
Other values (53) 367
17.2%
None
ValueCountFrequency (%)
㈜ 31
100.0%
CJK
ValueCountFrequency (%)
情 1
20.0%
昇 1
20.0%
志 1
20.0%
東 1
20.0%
玗 1
20.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

영업소소재지(도로명)
Text

Distinct1931
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Memory size17.4 KiB
2024-03-15T11:06:18.035894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length55
Mean length34.317525
Min length27

Characters and Unicode

Total characters75979
Distinct characters417
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1702 ?
Unique (%)76.9%

Sample

1st row전북특별자치도 전주시 완산구 따박골6길 39 (중화산동2가)
2nd row전북특별자치도 전주시 완산구 충경로 48, 2층 (중앙동3가)
3rd row전북특별자치도 전주시 완산구 당산로 49, 제일비사벌아파트 상가 109동 203호 (서신동)
4th row전북특별자치도 전주시 완산구 구이로 2074(평화동2가)
5th row전북특별자치도 전주시 완산구 효동2길 22-1, 2층 201호 (효자동1가)
ValueCountFrequency (%)
전북특별자치도 2214
 
15.3%
전주시 2214
 
15.3%
완산구 1311
 
9.1%
덕진구 903
 
6.2%
효자동3가 236
 
1.6%
1층 184
 
1.3%
2층 156
 
1.1%
중화산동2가 154
 
1.1%
서신동 153
 
1.1%
효자동1가 143
 
1.0%
Other values (1739) 6810
47.0%
2024-03-15T11:06:19.756176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12267
 
16.1%
전 4627
 
6.1%
자 2760
 
3.6%
1 2396
 
3.2%
동 2385
 
3.1%
주 2329
 
3.1%
북 2319
 
3.1%
( 2270
 
3.0%
) 2270
 
3.0%
구 2247
 
3.0%
Other values (407) 40109
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48288
63.6%
Space Separator 12267
 
16.1%
Decimal Number 9273
 
12.2%
Open Punctuation 2270
 
3.0%
Close Punctuation 2270
 
3.0%
Other Punctuation 1013
 
1.3%
Dash Punctuation 488
 
0.6%
Uppercase Letter 99
 
0.1%
Lowercase Letter 8
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 4627
 
9.6%
자 2760
 
5.7%
동 2385
 
4.9%
주 2329
 
4.8%
북 2319
 
4.8%
구 2247
 
4.7%
도 2238
 
4.6%
시 2229
 
4.6%
치 2226
 
4.6%
별 2217
 
4.6%
Other values (361) 22711
47.0%
Uppercase Letter
ValueCountFrequency (%)
S 11
11.1%
A 10
 
10.1%
G 8
 
8.1%
L 7
 
7.1%
M 7
 
7.1%
I 7
 
7.1%
E 6
 
6.1%
O 6
 
6.1%
K 6
 
6.1%
R 5
 
5.1%
Other values (10) 26
26.3%
Decimal Number
ValueCountFrequency (%)
1 2396
25.8%
2 1914
20.6%
3 1260
13.6%
4 713
 
7.7%
5 618
 
6.7%
0 598
 
6.4%
6 556
 
6.0%
7 506
 
5.5%
8 362
 
3.9%
9 350
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
y 1
12.5%
t 1
12.5%
i 1
12.5%
c 1
12.5%
r 1
12.5%
e 1
12.5%
w 1
12.5%
o 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 1010
99.7%
. 2
 
0.2%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
12267
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2270
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2270
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 488
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48288
63.6%
Common 27584
36.3%
Latin 107
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 4627
 
9.6%
자 2760
 
5.7%
동 2385
 
4.9%
주 2329
 
4.8%
북 2319
 
4.8%
구 2247
 
4.7%
도 2238
 
4.6%
시 2229
 
4.6%
치 2226
 
4.6%
별 2217
 
4.6%
Other values (361) 22711
47.0%
Latin
ValueCountFrequency (%)
S 11
 
10.3%
A 10
 
9.3%
G 8
 
7.5%
L 7
 
6.5%
M 7
 
6.5%
I 7
 
6.5%
E 6
 
5.6%
O 6
 
5.6%
K 6
 
5.6%
R 5
 
4.7%
Other values (18) 34
31.8%
Common
ValueCountFrequency (%)
12267
44.5%
1 2396
 
8.7%
( 2270
 
8.2%
) 2270
 
8.2%
2 1914
 
6.9%
3 1260
 
4.6%
, 1010
 
3.7%
4 713
 
2.6%
5 618
 
2.2%
0 598
 
2.2%
Other values (8) 2268
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48288
63.6%
ASCII 27691
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12267
44.3%
1 2396
 
8.7%
( 2270
 
8.2%
) 2270
 
8.2%
2 1914
 
6.9%
3 1260
 
4.6%
, 1010
 
3.6%
4 713
 
2.6%
5 618
 
2.2%
0 598
 
2.2%
Other values (36) 2375
 
8.6%
Hangul
ValueCountFrequency (%)
전 4627
 
9.6%
자 2760
 
5.7%
동 2385
 
4.9%
주 2329
 
4.8%
북 2319
 
4.8%
구 2247
 
4.7%
도 2238
 
4.6%
시 2229
 
4.6%
치 2226
 
4.6%
별 2217
 
4.6%
Other values (361) 22711
47.0%

영업소소재지(지번)
Text

MISSING 

Distinct1591
Distinct (%)72.9%
Missing33
Missing (%)1.5%
Memory size17.4 KiB
2024-03-15T11:06:21.167361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length29
Mean length26.837231
Min length21

Characters and Unicode

Total characters58532
Distinct characters70
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1207 ?
Unique (%)55.3%

Sample

1st row전북특별자치도 전주시 완산구 중화산동2가 550-2
2nd row전북특별자치도 전주시 완산구 중앙동3가 16
3rd row전북특별자치도 전주시 완산구 서신동 764-2
4th row전북특별자치도 전주시 완산구 평화동2가 899-4
5th row전북특별자치도 전주시 완산구 효자동1가 209-6
ValueCountFrequency (%)
전북특별자치도 2181
20.0%
전주시 2181
20.0%
완산구 1287
 
11.8%
덕진구 894
 
8.2%
효자동3가 243
 
2.2%
서신동 160
 
1.5%
중화산동2가 157
 
1.4%
효자동1가 144
 
1.3%
금암동 143
 
1.3%
인후동1가 123
 
1.1%
Other values (1612) 3408
31.2%
2024-03-15T11:06:22.693615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8740
 
14.9%
전 4387
 
7.5%
자 2668
 
4.6%
1 2481
 
4.2%
북 2250
 
3.8%
동 2197
 
3.8%
주 2181
 
3.7%
구 2181
 
3.7%
시 2181
 
3.7%
도 2181
 
3.7%
Other values (60) 27085
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36658
62.6%
Decimal Number 11110
 
19.0%
Space Separator 8740
 
14.9%
Dash Punctuation 2024
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 4387
 
12.0%
자 2668
 
7.3%
북 2250
 
6.1%
동 2197
 
6.0%
주 2181
 
5.9%
구 2181
 
5.9%
시 2181
 
5.9%
도 2181
 
5.9%
치 2181
 
5.9%
별 2181
 
5.9%
Other values (48) 12070
32.9%
Decimal Number
ValueCountFrequency (%)
1 2481
22.3%
2 1628
14.7%
3 1223
11.0%
6 1017
9.2%
5 1007
9.1%
4 973
 
8.8%
7 890
 
8.0%
8 732
 
6.6%
9 655
 
5.9%
0 504
 
4.5%
Space Separator
ValueCountFrequency (%)
8740
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2024
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36658
62.6%
Common 21874
37.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 4387
 
12.0%
자 2668
 
7.3%
북 2250
 
6.1%
동 2197
 
6.0%
주 2181
 
5.9%
구 2181
 
5.9%
시 2181
 
5.9%
도 2181
 
5.9%
치 2181
 
5.9%
별 2181
 
5.9%
Other values (48) 12070
32.9%
Common
ValueCountFrequency (%)
8740
40.0%
1 2481
 
11.3%
- 2024
 
9.3%
2 1628
 
7.4%
3 1223
 
5.6%
6 1017
 
4.6%
5 1007
 
4.6%
4 973
 
4.4%
7 890
 
4.1%
8 732
 
3.3%
Other values (2) 1159
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36658
62.6%
ASCII 21874
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8740
40.0%
1 2481
 
11.3%
- 2024
 
9.3%
2 1628
 
7.4%
3 1223
 
5.6%
6 1017
 
4.6%
5 1007
 
4.6%
4 973
 
4.4%
7 890
 
4.1%
8 732
 
3.3%
Other values (2) 1159
 
5.3%
Hangul
ValueCountFrequency (%)
전 4387
 
12.0%
자 2668
 
7.3%
북 2250
 
6.1%
동 2197
 
6.0%
주 2181
 
5.9%
구 2181
 
5.9%
시 2181
 
5.9%
도 2181
 
5.9%
치 2181
 
5.9%
별 2181
 
5.9%
Other values (48) 12070
32.9%

위도
Real number (ℝ)

MISSING 

Distinct1599
Distinct (%)73.3%
Missing33
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean35.82822
Minimum35.76676
Maximum35.883156
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.6 KiB
2024-03-15T11:06:22.946804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.76676
5-th percentile35.795562
Q135.815161
median35.828057
Q335.840382
95-th percentile35.864384
Maximum35.883156
Range0.11639568
Interquartile range (IQR)0.02522125

Descriptive statistics

Standard deviation0.01960905
Coefficient of variation (CV)0.00054730741
Kurtosis-0.15148934
Mean35.82822
Median Absolute Deviation (MAD)0.01258411
Skewness0.17783001
Sum78141.347
Variance0.00038451485
MonotonicityNot monotonic
2024-03-15T11:06:23.302642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.83446212 17
 
0.8%
35.82522552 11
 
0.5%
35.82365108 10
 
0.5%
35.80657657 9
 
0.4%
35.84751071 8
 
0.4%
35.80551485 7
 
0.3%
35.81684124 7
 
0.3%
35.87593535 6
 
0.3%
35.78312716 6
 
0.3%
35.8163324 6
 
0.3%
Other values (1589) 2094
94.6%
(Missing) 33
 
1.5%
ValueCountFrequency (%)
35.76675982 1
 
< 0.1%
35.7737075 1
 
< 0.1%
35.78283657 1
 
< 0.1%
35.78287439 1
 
< 0.1%
35.78304754 1
 
< 0.1%
35.7830491 1
 
< 0.1%
35.78312716 6
0.3%
35.78341264 1
 
< 0.1%
35.78597888 1
 
< 0.1%
35.78602705 1
 
< 0.1%
ValueCountFrequency (%)
35.8831555 5
0.2%
35.87902725 1
 
< 0.1%
35.87727093 1
 
< 0.1%
35.8771342 2
 
0.1%
35.87672452 2
 
0.1%
35.87635712 1
 
< 0.1%
35.87593535 6
0.3%
35.87564895 1
 
< 0.1%
35.87535968 1
 
< 0.1%
35.8751547 1
 
< 0.1%

경도
Real number (ℝ)

MISSING 

Distinct1598
Distinct (%)73.3%
Missing33
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean127.12582
Minimum127.03103
Maximum127.18456
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.6 KiB
2024-03-15T11:06:23.762740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.03103
5-th percentile127.08768
Q1127.11273
median127.12402
Q3127.14367
95-th percentile127.16097
Maximum127.18456
Range0.1535332
Interquartile range (IQR)0.030936

Descriptive statistics

Standard deviation0.022702382
Coefficient of variation (CV)0.00017858199
Kurtosis0.51518301
Mean127.12582
Median Absolute Deviation (MAD)0.0165254
Skewness-0.41170354
Sum277261.41
Variance0.00051539813
MonotonicityNot monotonic
2024-03-15T11:06:24.027547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1218374 17
 
0.8%
127.1424578 11
 
0.5%
127.1501124 10
 
0.5%
127.1142487 9
 
0.4%
127.1528945 8
 
0.4%
127.1064661 7
 
0.3%
127.1144693 7
 
0.3%
127.1025105 6
 
0.3%
127.123852 6
 
0.3%
127.0399166 6
 
0.3%
Other values (1588) 2094
94.6%
(Missing) 33
 
1.5%
ValueCountFrequency (%)
127.0310316 2
 
0.1%
127.0399166 6
0.3%
127.0577638 1
 
< 0.1%
127.0580791 1
 
< 0.1%
127.0596848 1
 
< 0.1%
127.0599762 1
 
< 0.1%
127.0601417 3
0.1%
127.0612055 3
0.1%
127.0617193 1
 
< 0.1%
127.0625717 5
0.2%
ValueCountFrequency (%)
127.1845648 1
< 0.1%
127.1749687 2
0.1%
127.1748828 1
< 0.1%
127.1747698 1
< 0.1%
127.1743592 1
< 0.1%
127.1743121 1
< 0.1%
127.1736287 1
< 0.1%
127.1731674 1
< 0.1%
127.1729686 2
0.1%
127.172888 2
0.1%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.4 KiB
2023-11-07
2214 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-07
2nd row2023-11-07
3rd row2023-11-07
4th row2023-11-07
5th row2023-11-07

Common Values

ValueCountFrequency (%)
2023-11-07 2214
100.0%

Length

2024-03-15T11:06:24.408568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T11:06:24.720100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-07 2214
100.0%

Interactions

2024-03-15T11:06:13.142429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:06:12.666178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:06:13.314335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:06:12.929801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T11:06:24.905979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.702
경도0.7021.000
2024-03-15T11:06:25.136682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.062
경도0.0621.000

Missing values

2024-03-15T11:06:13.561614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T11:06:13.753848image/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.
2024-03-15T11:06:13.939310image/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

영업소명영업소소재지(도로명)영업소소재지(지번)위도경도데이터기준일
0누리코리아전북특별자치도 전주시 완산구 따박골6길 39 (중화산동2가)전북특별자치도 전주시 완산구 중화산동2가 550-235.810148127.12822023-11-07
1다비치안경전주객사중앙점전북특별자치도 전주시 완산구 충경로 48, 2층 (중앙동3가)전북특별자치도 전주시 완산구 중앙동3가 1635.817679127.1444362023-11-07
2전주맑은소리보청기전북특별자치도 전주시 완산구 당산로 49, 제일비사벌아파트 상가 109동 203호 (서신동)전북특별자치도 전주시 완산구 서신동 764-235.832344127.1135952023-11-07
3세화E.N.G전북특별자치도 전주시 완산구 구이로 2074(평화동2가)전북특별자치도 전주시 완산구 평화동2가 899-435.782837127.1301072023-11-07
4비엠헬스케어전북특별자치도 전주시 완산구 효동2길 22-1, 2층 201호 (효자동1가)전북특별자치도 전주시 완산구 효자동1가 209-635.804586127.1265532023-11-07
5주식회사 정석비즈클럽일호전북특별자치도 전주시 완산구 우전로 283, 301호 (효자동3가)전북특별자치도 전주시 완산구 효자동3가 1692-635.819935127.1016452023-11-07
6이글루랩 eGluLab전북특별자치도 전주시 완산구 홍산로 260, 엠스퀘어 7층 (효자동3가)전북특별자치도 전주시 완산구 효자동3가 1531-235.816841127.1064662023-11-07
7스타키보청기전주센터전북특별자치도 전주시 완산구 팔달로 220, 1층 (서노송동)전북특별자치도 전주시 완산구 서노송동 605-2235.821901127.1458852023-11-07
8주식회사 씨아이바이오메디컬전북특별자치도 전주시 완산구 전라감영4길 13-10(중앙동2가)전북특별자치도 전주시 완산구 중앙동2가 19-135.816746127.144082023-11-07
9에코텍스전북특별자치도 전주시 덕진구 송천로 30, 벽란도 3층 (송천동1가)전북특별자치도 전주시 덕진구 송천동1가 382-135.856078127.1191972023-11-07
영업소명영업소소재지(도로명)영업소소재지(지번)위도경도데이터기준일
2204중앙의료기상사전북특별자치도 전주시 덕진구 삼송5길 7 (금암동)전북특별자치도 전주시 덕진구 금암동 1548-935.84261127.1368822023-11-07
2205해곡무역전북특별자치도 전주시 덕진구 백제대로 781 (우아동3가, 한일관)전북특별자치도 전주시 덕진구 우아동3가 732-535.84744127.1541322023-11-07
2206㈜하심전북특별자치도 전주시 덕진구 견훤로 366 (우아동3가)전북특별자치도 전주시 덕진구 우아동3가 754-135.843805127.1540852023-11-07
2207아시아나콘택트렌즈전북특별자치도 전주시 덕진구 기린대로 471-2 (덕진동1가)전북특별자치도 전주시 덕진구 덕진동1가 1267-2735.841788127.1257862023-11-07
2208동남의료기전북특별자치도 전주시 완산구 안터1길 14 (서신동)전북특별자치도 전주시 완산구 서신동 254-235.827382127.116962023-11-07
2209국제콘택트렌즈전북특별자치도 전주시 완산구 팔달로 237 (서노송동, 김안과의원)전북특별자치도 전주시 완산구 서노송동 636-235.823509127.144692023-11-07
2210동인의료기상사전북특별자치도 전주시 완산구 팔달로 211 (고사동)전북특별자치도 전주시 완산구 고사동 11-335.821107127.1457512023-11-07
2211제일의료기주식회사전북특별자치도 전주시 덕진구 백제대로 676 (금암동)전북특별자치도 전주시 덕진구 금암동 1597-3435.843526127.1432612023-11-07
2212㈜세기메디칼전북특별자치도 전주시 덕진구 송천중앙로 114 (송천동1가, KIA MOTORS)전북특별자치도 전주시 덕진구 송천동1가 395-2135.85694127.1208172023-11-07
2213세계상사전북특별자치도 전주시 완산구 서곡5길 13-5 (효자동3가)전북특별자치도 전주시 완산구 효자동3가 1414-1135.837026127.1012382023-11-07

Duplicate rows

Most frequently occurring

영업소명영업소소재지(도로명)영업소소재지(지번)위도경도데이터기준일# duplicates
0(주)티엔티리써치전북특별자치도 전주시 덕진구 원장동길 102 (장동)전북특별자치도 전주시 덕진구 장동 101-135.849738127.0625722023-11-072
1(주)하이프라자 서전주점전북특별자치도 전주시 완산구 용머리로 10 (효자동1가)전북특별자치도 전주시 완산구 효자동1가 410-4735.804835127.1115752023-11-072
2GS25전주비전대점전북특별자치도 전주시 완산구 천잠로 227-51 (효자동2가)전북특별자치도 전주시 완산구 효자동2가 1031-535.807555127.0903032023-11-072
3GS25전주중앙점전북특별자치도 전주시 완산구 전주객사4길 47 (고사동)전북특별자치도 전주시 완산구 고사동 375-335.819751127.1434042023-11-072
4GS25전주혁신로점전북특별자치도 전주시 덕진구 혁신로 465 (장동)전북특별자치도 전주시 덕진구 장동 603-435.854595127.0659232023-11-072
5GS25전주효자점전북특별자치도 전주시 완산구 범안3길 7 (효자동2가)전북특별자치도 전주시 완산구 효자동2가 1167-335.812389127.1073552023-11-072
6다비치안경체인객사점전북특별자치도 전주시 완산구 팔달로 194-1 (경원동3가)전북특별자치도 전주시 완산구 경원동3가 56-635.819745127.1467352023-11-072
7만나집전북특별자치도 전주시 완산구 서곡1길 5-9, 1층 (효자동3가)전북특별자치도 전주시 완산구 효자동3가 1457-935.834337127.0999812023-11-072
8미소의료기 송천점전북특별자치도 전주시 덕진구 송천중앙로 133 (송천동1가)전북특별자치도 전주시 덕진구 송천동1가 474-3435.858956127.1208912023-11-072
9세븐일레븐 전북대점전북특별자치도 전주시 덕진구 명륜4길 18 (덕진동1가)전북특별자치도 전주시 덕진구 덕진동1가 1263-2135.843297127.1270132023-11-072