Overview

Dataset statistics

Number of variables5
Number of observations4422
Missing cells2462
Missing cells (%)11.1%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory172.9 KiB
Average record size in memory40.0 B

Variable types

Categorical1
Text4

Dataset

Description전북특별자치도 군산시에 소재한 음식점의 데이터로 업소명, 소재지, 전화번호 등의 항목을 제공합니다. 군산 방문하실 때 참고하시기 바랍니다.
Author전라북도
URLhttps://www.bigdatahub.go.kr/index.jeonbuk?startPage=3&menuCd=DOM_000000103007001000&pListTypeStr=&pId=3077228

Alerts

업종명 has constant value ""Constant
Dataset has 1 (< 0.1%) duplicate rowsDuplicates
소재지(도로명) has 54 (1.2%) missing valuesMissing
소재지전화 has 2383 (53.9%) missing valuesMissing

Reproduction

Analysis started2024-03-14 02:40:45.302058
Analysis finished2024-03-14 02:40:46.590264
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.7 KiB
일반음식점
4422 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 4422
100.0%

Length

2024-03-14T11:40:46.638710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:40:46.711408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 4422
100.0%

업소명
Text

Distinct4226
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size34.7 KiB
2024-03-14T11:40:46.934285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27
Mean length5.8039349
Min length1

Characters and Unicode

Total characters25665
Distinct characters892
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4056 ?
Unique (%)91.7%

Sample

1st row옥산집
2nd row용궁반점
3rd row한식집
4th row신가네식당
5th row신풍옥
ValueCountFrequency (%)
군산점 40
 
0.8%
군산수송점 24
 
0.5%
수송점 19
 
0.4%
군산조촌점 15
 
0.3%
조촌점 13
 
0.3%
군산 12
 
0.2%
나운점 11
 
0.2%
카페 9
 
0.2%
지곡점 9
 
0.2%
군산나운점 9
 
0.2%
Other values (4455) 4829
96.8%
2024-03-14T11:40:47.274921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 752
 
2.9%
산 625
 
2.4%
568
 
2.2%
군 496
 
1.9%
이 478
 
1.9%
식 452
 
1.8%
리 374
 
1.5%
당 363
 
1.4%
수 339
 
1.3%
집 314
 
1.2%
Other values (882) 20904
81.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23503
91.6%
Space Separator 568
 
2.2%
Uppercase Letter 403
 
1.6%
Lowercase Letter 323
 
1.3%
Decimal Number 281
 
1.1%
Close Punctuation 230
 
0.9%
Open Punctuation 229
 
0.9%
Other Punctuation 121
 
0.5%
Dash Punctuation 4
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 752
 
3.2%
산 625
 
2.7%
군 496
 
2.1%
이 478
 
2.0%
식 452
 
1.9%
리 374
 
1.6%
당 363
 
1.5%
수 339
 
1.4%
집 314
 
1.3%
장 279
 
1.2%
Other values (804) 19031
81.0%
Uppercase Letter
ValueCountFrequency (%)
O 39
 
9.7%
B 38
 
9.4%
A 29
 
7.2%
C 26
 
6.5%
S 23
 
5.7%
E 23
 
5.7%
F 21
 
5.2%
N 20
 
5.0%
T 20
 
5.0%
L 18
 
4.5%
Other values (16) 146
36.2%
Lowercase Letter
ValueCountFrequency (%)
e 55
17.0%
o 42
13.0%
a 24
 
7.4%
i 19
 
5.9%
r 18
 
5.6%
n 18
 
5.6%
f 18
 
5.6%
s 16
 
5.0%
t 15
 
4.6%
u 15
 
4.6%
Other values (13) 83
25.7%
Other Punctuation
ValueCountFrequency (%)
& 55
45.5%
, 26
21.5%
. 7
 
5.8%
· 7
 
5.8%
? 7
 
5.8%
' 6
 
5.0%
# 3
 
2.5%
/ 3
 
2.5%
% 2
 
1.7%
* 2
 
1.7%
Other values (2) 3
 
2.5%
Decimal Number
ValueCountFrequency (%)
1 66
23.5%
2 47
16.7%
9 42
14.9%
3 29
10.3%
0 22
 
7.8%
8 19
 
6.8%
4 17
 
6.0%
5 16
 
5.7%
6 12
 
4.3%
7 11
 
3.9%
Math Symbol
ValueCountFrequency (%)
> 1
33.3%
< 1
33.3%
+ 1
33.3%
Space Separator
ValueCountFrequency (%)
568
100.0%
Close Punctuation
ValueCountFrequency (%)
) 230
100.0%
Open Punctuation
ValueCountFrequency (%)
( 229
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23493
91.5%
Common 1436
 
5.6%
Latin 726
 
2.8%
Han 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 752
 
3.2%
산 625
 
2.7%
군 496
 
2.1%
이 478
 
2.0%
식 452
 
1.9%
리 374
 
1.6%
당 363
 
1.5%
수 339
 
1.4%
집 314
 
1.3%
장 279
 
1.2%
Other values (794) 19021
81.0%
Latin
ValueCountFrequency (%)
e 55
 
7.6%
o 42
 
5.8%
O 39
 
5.4%
B 38
 
5.2%
A 29
 
4.0%
C 26
 
3.6%
a 24
 
3.3%
S 23
 
3.2%
E 23
 
3.2%
F 21
 
2.9%
Other values (39) 406
55.9%
Common
ValueCountFrequency (%)
568
39.6%
) 230
16.0%
( 229
15.9%
1 66
 
4.6%
& 55
 
3.8%
2 47
 
3.3%
9 42
 
2.9%
3 29
 
2.0%
, 26
 
1.8%
0 22
 
1.5%
Other values (19) 122
 
8.5%
Han
ValueCountFrequency (%)
味 1
10.0%
家 1
10.0%
人 1
10.0%
昭 1
10.0%
福 1
10.0%
晝 1
10.0%
宵 1
10.0%
愛 1
10.0%
賢 1
10.0%
月 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23493
91.5%
ASCII 2155
 
8.4%
CJK 10
 
< 0.1%
None 7
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 752
 
3.2%
산 625
 
2.7%
군 496
 
2.1%
이 478
 
2.0%
식 452
 
1.9%
리 374
 
1.6%
당 363
 
1.5%
수 339
 
1.4%
집 314
 
1.3%
장 279
 
1.2%
Other values (794) 19021
81.0%
ASCII
ValueCountFrequency (%)
568
26.4%
) 230
 
10.7%
( 229
 
10.6%
1 66
 
3.1%
& 55
 
2.6%
e 55
 
2.6%
2 47
 
2.2%
9 42
 
1.9%
o 42
 
1.9%
O 39
 
1.8%
Other values (67) 782
36.3%
None
ValueCountFrequency (%)
· 7
100.0%
CJK
ValueCountFrequency (%)
味 1
10.0%
家 1
10.0%
人 1
10.0%
昭 1
10.0%
福 1
10.0%
晝 1
10.0%
宵 1
10.0%
愛 1
10.0%
賢 1
10.0%
月 1
10.0%

소재지(도로명)
Text

MISSING 

Distinct3922
Distinct (%)89.8%
Missing54
Missing (%)1.2%
Memory size34.7 KiB
2024-03-14T11:40:47.616336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length56
Mean length28.385073
Min length21

Characters and Unicode

Total characters123986
Distinct characters379
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

Unique3605 ?
Unique (%)82.5%

Sample

1st row전북특별자치도 군산시 동신영길 9 (신영동)
2nd row전북특별자치도 군산시 옥구읍 옥구남로 5-1
3rd row전북특별자치도 군산시 대학로 150 (문화동)
4th row전북특별자치도 군산시 해망로 34 (경암동)
5th row전북특별자치도 군산시 구영6길 120, 1층 (영화동)
ValueCountFrequency (%)
전북특별자치도 4368
 
17.8%
군산시 4368
 
17.8%
1층 1031
 
4.2%
나운동 763
 
3.1%
수송동 539
 
2.2%
조촌동 329
 
1.3%
산북동 258
 
1.1%
소룡동 231
 
0.9%
지곡동 213
 
0.9%
미룡동 205
 
0.8%
Other values (1921) 12239
49.9%
2024-03-14T11:40:48.082498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20179
 
16.3%
1 5078
 
4.1%
산 4917
 
4.0%
도 4832
 
3.9%
북 4700
 
3.8%
동 4631
 
3.7%
시 4455
 
3.6%
군 4444
 
3.6%
자 4415
 
3.6%
전 4401
 
3.5%
Other values (369) 61934
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 76621
61.8%
Space Separator 20179
 
16.3%
Decimal Number 16231
 
13.1%
Close Punctuation 3981
 
3.2%
Open Punctuation 3981
 
3.2%
Other Punctuation 2136
 
1.7%
Dash Punctuation 765
 
0.6%
Uppercase Letter 61
 
< 0.1%
Math Symbol 19
 
< 0.1%
Lowercase Letter 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 4917
 
6.4%
도 4832
 
6.3%
북 4700
 
6.1%
동 4631
 
6.0%
시 4455
 
5.8%
군 4444
 
5.8%
자 4415
 
5.8%
전 4401
 
5.7%
치 4370
 
5.7%
별 4369
 
5.7%
Other values (319) 31087
40.6%
Uppercase Letter
ValueCountFrequency (%)
A 17
27.9%
B 11
18.0%
D 6
 
9.8%
C 4
 
6.6%
G 2
 
3.3%
T 2
 
3.3%
P 2
 
3.3%
I 2
 
3.3%
E 2
 
3.3%
L 2
 
3.3%
Other values (10) 11
18.0%
Decimal Number
ValueCountFrequency (%)
1 5078
31.3%
2 2435
15.0%
3 1779
 
11.0%
4 1342
 
8.3%
0 1238
 
7.6%
5 1049
 
6.5%
6 992
 
6.1%
7 940
 
5.8%
8 713
 
4.4%
9 665
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
e 3
25.0%
r 2
16.7%
s 2
16.7%
o 1
 
8.3%
a 1
 
8.3%
c 1
 
8.3%
t 1
 
8.3%
n 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 2077
97.2%
. 52
 
2.4%
· 3
 
0.1%
* 2
 
0.1%
@ 2
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 3978
99.9%
] 3
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 3978
99.9%
[ 3
 
0.1%
Space Separator
ValueCountFrequency (%)
20179
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 765
100.0%
Math Symbol
ValueCountFrequency (%)
~ 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 76621
61.8%
Common 47292
38.1%
Latin 73
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 4917
 
6.4%
도 4832
 
6.3%
북 4700
 
6.1%
동 4631
 
6.0%
시 4455
 
5.8%
군 4444
 
5.8%
자 4415
 
5.8%
전 4401
 
5.7%
치 4370
 
5.7%
별 4369
 
5.7%
Other values (319) 31087
40.6%
Latin
ValueCountFrequency (%)
A 17
23.3%
B 11
15.1%
D 6
 
8.2%
C 4
 
5.5%
e 3
 
4.1%
G 2
 
2.7%
T 2
 
2.7%
P 2
 
2.7%
r 2
 
2.7%
I 2
 
2.7%
Other values (18) 22
30.1%
Common
ValueCountFrequency (%)
20179
42.7%
1 5078
 
10.7%
) 3978
 
8.4%
( 3978
 
8.4%
2 2435
 
5.1%
, 2077
 
4.4%
3 1779
 
3.8%
4 1342
 
2.8%
0 1238
 
2.6%
5 1049
 
2.2%
Other values (12) 4159
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 76621
61.8%
ASCII 47362
38.2%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20179
42.6%
1 5078
 
10.7%
) 3978
 
8.4%
( 3978
 
8.4%
2 2435
 
5.1%
, 2077
 
4.4%
3 1779
 
3.8%
4 1342
 
2.8%
0 1238
 
2.6%
5 1049
 
2.2%
Other values (39) 4229
 
8.9%
Hangul
ValueCountFrequency (%)
산 4917
 
6.4%
도 4832
 
6.3%
북 4700
 
6.1%
동 4631
 
6.0%
시 4455
 
5.8%
군 4444
 
5.8%
자 4415
 
5.8%
전 4401
 
5.7%
치 4370
 
5.7%
별 4369
 
5.7%
Other values (319) 31087
40.6%
None
ValueCountFrequency (%)
· 3
100.0%

소재지(지번)
Text

Distinct3872
Distinct (%)88.1%
Missing25
Missing (%)0.6%
Memory size34.7 KiB
2024-03-14T11:40:48.416975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length50
Mean length24.446213
Min length17

Characters and Unicode

Total characters107490
Distinct characters348
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

Unique3493 ?
Unique (%)79.4%

Sample

1st row전북특별자치도 군산시 신영동 14-10
2nd row전북특별자치도 군산시 옥구읍 선제리 518
3rd row전북특별자치도 군산시 대야면 지경리 771
4th row전북특별자치도 군산시 금암동 7
5th row전북특별자치도 군산시 문화동 876-3
ValueCountFrequency (%)
전북특별자치도 4397
22.1%
군산시 4397
22.1%
나운동 765
 
3.8%
수송동 537
 
2.7%
조촌동 329
 
1.7%
1층 287
 
1.4%
산북동 256
 
1.3%
소룡동 234
 
1.2%
지곡동 215
 
1.1%
미룡동 204
 
1.0%
Other values (3537) 8316
41.7%
2024-03-14T11:40:48.927078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19399
18.0%
산 4902
 
4.6%
도 4804
 
4.5%
북 4666
 
4.3%
1 4527
 
4.2%
시 4453
 
4.1%
군 4440
 
4.1%
자 4426
 
4.1%
전 4409
 
4.1%
별 4398
 
4.1%
Other values (338) 47066
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63000
58.6%
Decimal Number 20856
 
19.4%
Space Separator 19399
 
18.0%
Dash Punctuation 3871
 
3.6%
Other Punctuation 125
 
0.1%
Open Punctuation 80
 
0.1%
Close Punctuation 80
 
0.1%
Uppercase Letter 65
 
0.1%
Math Symbol 10
 
< 0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 4902
 
7.8%
도 4804
 
7.6%
북 4666
 
7.4%
시 4453
 
7.1%
군 4440
 
7.0%
자 4426
 
7.0%
전 4409
 
7.0%
별 4398
 
7.0%
특 4397
 
7.0%
치 4397
 
7.0%
Other values (296) 17708
28.1%
Uppercase Letter
ValueCountFrequency (%)
A 29
44.6%
B 9
 
13.8%
D 7
 
10.8%
C 4
 
6.2%
P 2
 
3.1%
T 2
 
3.1%
I 1
 
1.5%
L 1
 
1.5%
G 1
 
1.5%
J 1
 
1.5%
Other values (8) 8
 
12.3%
Decimal Number
ValueCountFrequency (%)
1 4527
21.7%
2 2318
11.1%
5 2186
10.5%
8 2145
10.3%
3 2139
10.3%
4 1781
 
8.5%
6 1649
 
7.9%
0 1557
 
7.5%
7 1408
 
6.8%
9 1146
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 81
64.8%
. 39
31.2%
· 4
 
3.2%
@ 1
 
0.8%
Lowercase Letter
ValueCountFrequency (%)
s 2
50.0%
e 1
25.0%
c 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 79
98.8%
[ 1
 
1.2%
Close Punctuation
ValueCountFrequency (%)
) 79
98.8%
] 1
 
1.2%
Space Separator
ValueCountFrequency (%)
19399
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3871
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63000
58.6%
Common 44421
41.3%
Latin 69
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 4902
 
7.8%
도 4804
 
7.6%
북 4666
 
7.4%
시 4453
 
7.1%
군 4440
 
7.0%
자 4426
 
7.0%
전 4409
 
7.0%
별 4398
 
7.0%
특 4397
 
7.0%
치 4397
 
7.0%
Other values (296) 17708
28.1%
Common
ValueCountFrequency (%)
19399
43.7%
1 4527
 
10.2%
- 3871
 
8.7%
2 2318
 
5.2%
5 2186
 
4.9%
8 2145
 
4.8%
3 2139
 
4.8%
4 1781
 
4.0%
6 1649
 
3.7%
0 1557
 
3.5%
Other values (11) 2849
 
6.4%
Latin
ValueCountFrequency (%)
A 29
42.0%
B 9
 
13.0%
D 7
 
10.1%
C 4
 
5.8%
s 2
 
2.9%
P 2
 
2.9%
T 2
 
2.9%
I 1
 
1.4%
L 1
 
1.4%
G 1
 
1.4%
Other values (11) 11
 
15.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63000
58.6%
ASCII 44486
41.4%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19399
43.6%
1 4527
 
10.2%
- 3871
 
8.7%
2 2318
 
5.2%
5 2186
 
4.9%
8 2145
 
4.8%
3 2139
 
4.8%
4 1781
 
4.0%
6 1649
 
3.7%
0 1557
 
3.5%
Other values (31) 2914
 
6.6%
Hangul
ValueCountFrequency (%)
산 4902
 
7.8%
도 4804
 
7.6%
북 4666
 
7.4%
시 4453
 
7.1%
군 4440
 
7.0%
자 4426
 
7.0%
전 4409
 
7.0%
별 4398
 
7.0%
특 4397
 
7.0%
치 4397
 
7.0%
Other values (296) 17708
28.1%
None
ValueCountFrequency (%)
· 4
100.0%

소재지전화
Text

MISSING 

Distinct1990
Distinct (%)97.6%
Missing2383
Missing (%)53.9%
Memory size34.7 KiB
2024-03-14T11:40:49.124116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length13.916626
Min length6

Characters and Unicode

Total characters28376
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1955 ?
Unique (%)95.9%

Sample

1st row 063- 464-9797
2nd row063-4510-3946
3rd row 063- 462-3415
4th row063 - 462-1817
5th row 063- 443-3672
ValueCountFrequency (%)
063 1812
43.5%
97
 
2.3%
465 20
 
0.5%
466 16
 
0.4%
464 14
 
0.3%
445 13
 
0.3%
467 12
 
0.3%
471 12
 
0.3%
451 11
 
0.3%
468 11
 
0.3%
Other values (2019) 2152
51.6%
2024-03-14T11:40:49.420970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 4078
14.4%
6 4011
14.1%
3819
13.5%
0 3265
11.5%
4 3260
11.5%
3 3082
10.9%
5 1464
 
5.2%
2 1283
 
4.5%
1 1115
 
3.9%
7 1098
 
3.9%
Other values (2) 1901
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20479
72.2%
Dash Punctuation 4078
 
14.4%
Space Separator 3819
 
13.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 4011
19.6%
0 3265
15.9%
4 3260
15.9%
3 3082
15.0%
5 1464
 
7.1%
2 1283
 
6.3%
1 1115
 
5.4%
7 1098
 
5.4%
8 1026
 
5.0%
9 875
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 4078
100.0%
Space Separator
ValueCountFrequency (%)
3819
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28376
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 4078
14.4%
6 4011
14.1%
3819
13.5%
0 3265
11.5%
4 3260
11.5%
3 3082
10.9%
5 1464
 
5.2%
2 1283
 
4.5%
1 1115
 
3.9%
7 1098
 
3.9%
Other values (2) 1901
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28376
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 4078
14.4%
6 4011
14.1%
3819
13.5%
0 3265
11.5%
4 3260
11.5%
3 3082
10.9%
5 1464
 
5.2%
2 1283
 
4.5%
1 1115
 
3.9%
7 1098
 
3.9%
Other values (2) 1901
6.7%

Missing values

2024-03-14T11:40:46.304382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T11:40:46.390713image/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.
2024-03-14T11:40:46.525865image/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

업종명업소명소재지(도로명)소재지(지번)소재지전화
0일반음식점옥산집전북특별자치도 군산시 동신영길 9 (신영동)전북특별자치도 군산시 신영동 14-10<NA>
1일반음식점용궁반점전북특별자치도 군산시 옥구읍 옥구남로 5-1전북특별자치도 군산시 옥구읍 선제리 518063- 464-9797
2일반음식점한식집<NA>전북특별자치도 군산시 대야면 지경리 771063-4510-3946
3일반음식점신가네식당<NA>전북특별자치도 군산시 금암동 7<NA>
4일반음식점신풍옥전북특별자치도 군산시 대학로 150 (문화동)전북특별자치도 군산시 문화동 876-3063- 462-3415
5일반음식점충남옥<NA>전북특별자치도 군산시 신영동 138<NA>
6일반음식점미나식당<NA>전북특별자치도 군산시 소룡동 산 7063 - 462-1817
7일반음식점군산이화찹쌀피순대전북특별자치도 군산시 해망로 34 (경암동)전북특별자치도 군산시 경암동 612-3063- 443-3672
8일반음식점송강식당전북특별자치도 군산시 구영6길 120, 1층 (영화동)전북특별자치도 군산시 영화동 10-11063- 445-0255
9일반음식점원조설렁탕전북특별자치도 군산시 검다메2길 19 (조촌동)전북특별자치도 군산시 조촌동 749-3063- 452-4807
업종명업소명소재지(도로명)소재지(지번)소재지전화
4412일반음식점수송돈7길카츠전북특별자치도 군산시 수송안7길 26, 1층 (수송동)전북특별자치도 군산시 수송동 870-6<NA>
4413일반음식점가람롤김밥전북특별자치도 군산시 나운안길 27, 강천아케이트 1층 151호 (나운동)전북특별자치도 군산시 나운동 101-12 강천아케이트 151호<NA>
4414일반음식점사계전북특별자치도 군산시 소룡안3길 33, 1층 (소룡동)전북특별자치도 군산시 소룡동 1573-3<NA>
4415일반음식점이자카야시선 조촌점전북특별자치도 군산시 궁포안1길 21, 101호 (조촌동)전북특별자치도 군산시 조촌동 2-59 101호<NA>
4416일반음식점우향전북특별자치도 군산시 서수송안1길 25-6, 1층 (나운동)전북특별자치도 군산시 나운동 1533-9<NA>
4417일반음식점우정회관전북특별자치도 군산시 자유로 135-29, 우정회관 1동 1층 (소룡동)전북특별자치도 군산시 소룡동 1614-1 우정회관 1동<NA>
4418일반음식점군산피자나라치킨공주 중앙점전북특별자치도 군산시 중앙로 94, 1층 (중앙로2가)전북특별자치도 군산시 중앙로2가 147-1<NA>
4419일반음식점홍찬전북특별자치도 군산시 수송로 56, 101-1호 (나운동)전북특별자치도 군산시 나운동 95-2<NA>
4420일반음식점피자스쿨 군산디오션점전북특별자치도 군산시 궁포3로 14, 1층 102호 (조촌동)전북특별자치도 군산시 조촌동 2-36 102호<NA>
4421일반음식점우림전북특별자치도 군산시 새만금산단1로 3, 1층 101호 (오식도동)전북특별자치도 군산시 오식도동 1029 101호<NA>

Duplicate rows

Most frequently occurring

업종명업소명소재지(도로명)소재지(지번)소재지전화# duplicates
0일반음식점군산스테이주식회사전북특별자치도 군산시 성산면 철새로 56, 군산스테이관광호텔 A동 1층전북특별자치도 군산시 성산면 성덕리 428-4 군산스테이관광호텔063-451 -00552