Overview

Dataset statistics

Number of variables5
Number of observations5704
Missing cells3070
Missing cells (%)10.8%
Duplicate rows3
Duplicate rows (%)0.1%
Total size in memory222.9 KiB
Average record size in memory40.0 B

Variable types

Categorical1
Text4

Dataset

Description부산광역시 부산진구 내 등록된 일반음식점 현황정보 제공합니다.업종명, 업소명, 소재지(도로명), 소재지(지번), 전화번호 등의 정보를 제공합니다.
Author부산광역시 부산진구
URLhttps://www.data.go.kr/data/15025552/fileData.do

Alerts

업종명 has constant value ""Constant
Dataset has 3 (0.1%) duplicate rowsDuplicates
소재지전화 has 3032 (53.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 02:30:38.307546
Analysis finished2023-12-12 02:30:39.653432
Duration1.35 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size44.7 KiB
일반음식점
5704 

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 5704
100.0%

Length

2023-12-12T11:30:39.717104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:30:39.832850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 5704
100.0%
Distinct5433
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size44.7 KiB
2023-12-12T11:30:40.113472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length32
Mean length6.065568
Min length1

Characters and Unicode

Total characters34598
Distinct characters1021
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5214 ?
Unique (%)91.4%

Sample

1st row울산식당
2nd row서면대복집
3rd row백천식당
4th row칼국수집
5th row초량갈비
ValueCountFrequency (%)
서면점 123
 
1.8%
개금점 34
 
0.5%
양정점 28
 
0.4%
전포점 27
 
0.4%
부산서면점 24
 
0.4%
당감점 19
 
0.3%
가야점 18
 
0.3%
부산진구점 16
 
0.2%
서면본점 15
 
0.2%
초읍점 11
 
0.2%
Other values (5804) 6536
95.4%
2023-12-12T11:30:40.662558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1147
 
3.3%
1081
 
3.1%
641
 
1.9%
498
 
1.4%
473
 
1.4%
) 458
 
1.3%
( 458
 
1.3%
444
 
1.3%
444
 
1.3%
428
 
1.2%
Other values (1011) 28526
82.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29972
86.6%
Space Separator 1147
 
3.3%
Lowercase Letter 1092
 
3.2%
Uppercase Letter 797
 
2.3%
Decimal Number 518
 
1.5%
Close Punctuation 458
 
1.3%
Open Punctuation 458
 
1.3%
Other Punctuation 140
 
0.4%
Dash Punctuation 10
 
< 0.1%
Math Symbol 3
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1081
 
3.6%
641
 
2.1%
498
 
1.7%
473
 
1.6%
444
 
1.5%
444
 
1.5%
428
 
1.4%
409
 
1.4%
409
 
1.4%
387
 
1.3%
Other values (931) 24758
82.6%
Lowercase Letter
ValueCountFrequency (%)
e 133
12.2%
a 107
 
9.8%
o 105
 
9.6%
i 75
 
6.9%
t 66
 
6.0%
r 65
 
6.0%
n 63
 
5.8%
l 56
 
5.1%
s 48
 
4.4%
u 43
 
3.9%
Other values (16) 331
30.3%
Uppercase Letter
ValueCountFrequency (%)
A 71
 
8.9%
O 66
 
8.3%
E 60
 
7.5%
B 52
 
6.5%
C 50
 
6.3%
T 41
 
5.1%
N 39
 
4.9%
I 36
 
4.5%
H 35
 
4.4%
G 34
 
4.3%
Other values (16) 313
39.3%
Other Punctuation
ValueCountFrequency (%)
& 64
45.7%
. 24
 
17.1%
, 22
 
15.7%
· 7
 
5.0%
5
 
3.6%
' 5
 
3.6%
! 4
 
2.9%
/ 3
 
2.1%
# 3
 
2.1%
: 2
 
1.4%
Decimal Number
ValueCountFrequency (%)
1 116
22.4%
2 93
18.0%
0 63
12.2%
3 56
10.8%
8 39
 
7.5%
9 37
 
7.1%
5 30
 
5.8%
7 30
 
5.8%
6 28
 
5.4%
4 26
 
5.0%
Space Separator
ValueCountFrequency (%)
1147
100.0%
Close Punctuation
ValueCountFrequency (%)
) 458
100.0%
Open Punctuation
ValueCountFrequency (%)
( 458
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29955
86.6%
Common 2737
 
7.9%
Latin 1889
 
5.5%
Han 17
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1081
 
3.6%
641
 
2.1%
498
 
1.7%
473
 
1.6%
444
 
1.5%
444
 
1.5%
428
 
1.4%
409
 
1.4%
409
 
1.4%
387
 
1.3%
Other values (915) 24741
82.6%
Latin
ValueCountFrequency (%)
e 133
 
7.0%
a 107
 
5.7%
o 105
 
5.6%
i 75
 
4.0%
A 71
 
3.8%
t 66
 
3.5%
O 66
 
3.5%
r 65
 
3.4%
n 63
 
3.3%
E 60
 
3.2%
Other values (42) 1078
57.1%
Common
ValueCountFrequency (%)
1147
41.9%
) 458
 
16.7%
( 458
 
16.7%
1 116
 
4.2%
2 93
 
3.4%
& 64
 
2.3%
0 63
 
2.3%
3 56
 
2.0%
8 39
 
1.4%
9 37
 
1.4%
Other values (18) 206
 
7.5%
Han
ValueCountFrequency (%)
2
 
11.8%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
Other values (6) 6
35.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29952
86.6%
ASCII 4613
 
13.3%
CJK 17
 
< 0.1%
None 12
 
< 0.1%
Compat Jamo 3
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1147
24.9%
) 458
 
9.9%
( 458
 
9.9%
e 133
 
2.9%
1 116
 
2.5%
a 107
 
2.3%
o 105
 
2.3%
2 93
 
2.0%
i 75
 
1.6%
A 71
 
1.5%
Other values (67) 1850
40.1%
Hangul
ValueCountFrequency (%)
1081
 
3.6%
641
 
2.1%
498
 
1.7%
473
 
1.6%
444
 
1.5%
444
 
1.5%
428
 
1.4%
409
 
1.4%
409
 
1.4%
387
 
1.3%
Other values (913) 24738
82.6%
None
ValueCountFrequency (%)
· 7
58.3%
5
41.7%
CJK
ValueCountFrequency (%)
2
 
11.8%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
Other values (6) 6
35.3%
Compat Jamo
ValueCountFrequency (%)
2
66.7%
1
33.3%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%
Distinct5182
Distinct (%)91.4%
Missing37
Missing (%)0.6%
Memory size44.7 KiB
2023-12-12T11:30:41.041423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length60
Mean length32.254985
Min length22

Characters and Unicode

Total characters182789
Distinct characters358
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4815 ?
Unique (%)85.0%

Sample

1st row부산광역시 부산진구 중앙대로 795-1 (부전동)
2nd row부산광역시 부산진구 서면문화로5번길 6 (부전동,,28)
3rd row부산광역시 부산진구 동평로420번길 20 (양정동)
4th row부산광역시 부산진구 서면로 56 (부전동)
5th row부산광역시 부산진구 가야대로588번길 5 (가야동)
ValueCountFrequency (%)
부산광역시 5667
 
16.7%
부산진구 5667
 
16.7%
1층 2175
 
6.4%
부전동 1665
 
4.9%
전포동 1031
 
3.0%
2층 492
 
1.4%
양정동 456
 
1.3%
개금동 434
 
1.3%
당감동 412
 
1.2%
가야동 393
 
1.2%
Other values (2387) 15609
45.9%
2023-12-12T11:30:41.597797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28337
 
15.5%
14000
 
7.7%
11434
 
6.3%
1 7856
 
4.3%
6766
 
3.7%
) 5988
 
3.3%
( 5987
 
3.3%
5840
 
3.2%
5759
 
3.2%
5730
 
3.1%
Other values (348) 85092
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 107520
58.8%
Decimal Number 28363
 
15.5%
Space Separator 28337
 
15.5%
Close Punctuation 5990
 
3.3%
Open Punctuation 5989
 
3.3%
Other Punctuation 5113
 
2.8%
Dash Punctuation 1271
 
0.7%
Uppercase Letter 161
 
0.1%
Math Symbol 33
 
< 0.1%
Lowercase Letter 6
 
< 0.1%
Other values (3) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14000
 
13.0%
11434
 
10.6%
6766
 
6.3%
5840
 
5.4%
5759
 
5.4%
5730
 
5.3%
5687
 
5.3%
5667
 
5.3%
5649
 
5.3%
4195
 
3.9%
Other values (294) 36793
34.2%
Uppercase Letter
ValueCountFrequency (%)
B 51
31.7%
A 24
14.9%
T 13
 
8.1%
C 12
 
7.5%
G 10
 
6.2%
K 10
 
6.2%
L 7
 
4.3%
E 5
 
3.1%
P 5
 
3.1%
U 4
 
2.5%
Other values (10) 20
 
12.4%
Decimal Number
ValueCountFrequency (%)
1 7856
27.7%
2 3924
13.8%
3 2375
 
8.4%
6 2358
 
8.3%
0 2312
 
8.2%
5 2215
 
7.8%
4 2111
 
7.4%
8 1861
 
6.6%
7 1829
 
6.4%
9 1522
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 5090
99.6%
. 7
 
0.1%
& 6
 
0.1%
/ 3
 
0.1%
* 2
 
< 0.1%
: 2
 
< 0.1%
@ 2
 
< 0.1%
· 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
e 3
50.0%
l 1
 
16.7%
b 1
 
16.7%
c 1
 
16.7%
Math Symbol
ValueCountFrequency (%)
~ 31
93.9%
< 1
 
3.0%
= 1
 
3.0%
Close Punctuation
ValueCountFrequency (%)
) 5988
> 99.9%
] 2
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 5987
> 99.9%
[ 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
28337
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1271
100.0%
Letter Number
ValueCountFrequency (%)
4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 107520
58.8%
Common 75098
41.1%
Latin 171
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
14000
 
13.0%
11434
 
10.6%
6766
 
6.3%
5840
 
5.4%
5759
 
5.4%
5730
 
5.3%
5687
 
5.3%
5667
 
5.3%
5649
 
5.3%
4195
 
3.9%
Other values (294) 36793
34.2%
Common
ValueCountFrequency (%)
28337
37.7%
1 7856
 
10.5%
) 5988
 
8.0%
( 5987
 
8.0%
, 5090
 
6.8%
2 3924
 
5.2%
3 2375
 
3.2%
6 2358
 
3.1%
0 2312
 
3.1%
5 2215
 
2.9%
Other values (19) 8656
 
11.5%
Latin
ValueCountFrequency (%)
B 51
29.8%
A 24
14.0%
T 13
 
7.6%
C 12
 
7.0%
G 10
 
5.8%
K 10
 
5.8%
L 7
 
4.1%
E 5
 
2.9%
P 5
 
2.9%
U 4
 
2.3%
Other values (15) 30
17.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 107520
58.8%
ASCII 75264
41.2%
Number Forms 4
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28337
37.7%
1 7856
 
10.4%
) 5988
 
8.0%
( 5987
 
8.0%
, 5090
 
6.8%
2 3924
 
5.2%
3 2375
 
3.2%
6 2358
 
3.1%
0 2312
 
3.1%
5 2215
 
2.9%
Other values (42) 8822
 
11.7%
Hangul
ValueCountFrequency (%)
14000
 
13.0%
11434
 
10.6%
6766
 
6.3%
5840
 
5.4%
5759
 
5.4%
5730
 
5.3%
5687
 
5.3%
5667
 
5.3%
5649
 
5.3%
4195
 
3.9%
Other values (294) 36793
34.2%
Number Forms
ValueCountFrequency (%)
4
100.0%
None
ValueCountFrequency (%)
· 1
100.0%
Distinct4478
Distinct (%)78.5%
Missing1
Missing (%)< 0.1%
Memory size44.7 KiB
2023-12-12T11:30:41.891110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length58
Mean length23.892513
Min length18

Characters and Unicode

Total characters136259
Distinct characters341
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3703 ?
Unique (%)64.9%

Sample

1st row부산광역시 부산진구 부전동 58-1
2nd row부산광역시 부산진구 부전동 475-27 ,28
3rd row부산광역시 부산진구 양정동 391-2
4th row부산광역시 부산진구 부전동 256-6
5th row부산광역시 부산진구 가야동 273-1 외 271
ValueCountFrequency (%)
부산광역시 5703
22.7%
부산진구 5703
22.7%
부전동 1811
 
7.2%
전포동 1060
 
4.2%
양정동 491
 
2.0%
개금동 490
 
1.9%
당감동 464
 
1.8%
가야동 426
 
1.7%
1층 376
 
1.5%
범천동 335
 
1.3%
Other values (4289) 8303
33.0%
2023-12-12T11:30:42.355104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25088
18.4%
13744
 
10.1%
11477
 
8.4%
5855
 
4.3%
1 5756
 
4.2%
5742
 
4.2%
5722
 
4.2%
5718
 
4.2%
5715
 
4.2%
5704
 
4.2%
Other values (331) 45738
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 76158
55.9%
Decimal Number 28159
 
20.7%
Space Separator 25088
 
18.4%
Dash Punctuation 5506
 
4.0%
Close Punctuation 501
 
0.4%
Open Punctuation 500
 
0.4%
Other Punctuation 221
 
0.2%
Uppercase Letter 102
 
0.1%
Math Symbol 15
 
< 0.1%
Letter Number 4
 
< 0.1%
Other values (2) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
13744
18.0%
11477
15.1%
5855
7.7%
5742
7.5%
5722
7.5%
5718
7.5%
5715
7.5%
5704
7.5%
2991
 
3.9%
1216
 
1.6%
Other values (283) 12274
16.1%
Uppercase Letter
ValueCountFrequency (%)
B 15
14.7%
T 13
12.7%
G 10
9.8%
K 10
9.8%
C 9
8.8%
L 6
 
5.9%
A 6
 
5.9%
P 5
 
4.9%
E 5
 
4.9%
V 4
 
3.9%
Other values (10) 19
18.6%
Decimal Number
ValueCountFrequency (%)
1 5756
20.4%
2 3767
13.4%
3 3191
11.3%
5 2734
9.7%
6 2624
9.3%
4 2567
9.1%
8 2100
 
7.5%
7 2053
 
7.3%
0 1860
 
6.6%
9 1507
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 198
89.6%
. 9
 
4.1%
& 6
 
2.7%
/ 3
 
1.4%
@ 2
 
0.9%
: 2
 
0.9%
· 1
 
0.5%
Math Symbol
ValueCountFrequency (%)
~ 13
86.7%
= 1
 
6.7%
< 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
e 3
75.0%
c 1
 
25.0%
Space Separator
ValueCountFrequency (%)
25088
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5506
100.0%
Close Punctuation
ValueCountFrequency (%)
) 501
100.0%
Open Punctuation
ValueCountFrequency (%)
( 500
100.0%
Letter Number
ValueCountFrequency (%)
4
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 76158
55.9%
Common 59991
44.0%
Latin 110
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
13744
18.0%
11477
15.1%
5855
7.7%
5742
7.5%
5722
7.5%
5718
7.5%
5715
7.5%
5704
7.5%
2991
 
3.9%
1216
 
1.6%
Other values (283) 12274
16.1%
Common
ValueCountFrequency (%)
25088
41.8%
1 5756
 
9.6%
- 5506
 
9.2%
2 3767
 
6.3%
3 3191
 
5.3%
5 2734
 
4.6%
6 2624
 
4.4%
4 2567
 
4.3%
8 2100
 
3.5%
7 2053
 
3.4%
Other values (15) 4605
 
7.7%
Latin
ValueCountFrequency (%)
B 15
13.6%
T 13
11.8%
G 10
 
9.1%
K 10
 
9.1%
C 9
 
8.2%
L 6
 
5.5%
A 6
 
5.5%
P 5
 
4.5%
E 5
 
4.5%
V 4
 
3.6%
Other values (13) 27
24.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 76158
55.9%
ASCII 60096
44.1%
Number Forms 4
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25088
41.7%
1 5756
 
9.6%
- 5506
 
9.2%
2 3767
 
6.3%
3 3191
 
5.3%
5 2734
 
4.5%
6 2624
 
4.4%
4 2567
 
4.3%
8 2100
 
3.5%
7 2053
 
3.4%
Other values (36) 4710
 
7.8%
Hangul
ValueCountFrequency (%)
13744
18.0%
11477
15.1%
5855
7.7%
5742
7.5%
5722
7.5%
5718
7.5%
5715
7.5%
5704
7.5%
2991
 
3.9%
1216
 
1.6%
Other values (283) 12274
16.1%
Number Forms
ValueCountFrequency (%)
4
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

소재지전화
Text

MISSING 

Distinct2626
Distinct (%)98.3%
Missing3032
Missing (%)53.2%
Memory size44.7 KiB
2023-12-12T11:30:42.787815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length13.876497
Min length1

Characters and Unicode

Total characters37078
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

Unique2601 ?
Unique (%)97.3%

Sample

1st row 051- 809-6135
2nd row 051- 809-3714
3rd row 051- 851-1433
4th row 051- 898-9001
5th row 051- 809-1682
ValueCountFrequency (%)
051 2481
39.1%
808 70
 
1.1%
802 52
 
0.8%
891 51
 
0.8%
804 50
 
0.8%
809 49
 
0.8%
805 46
 
0.7%
818 46
 
0.7%
070 43
 
0.7%
806 41
 
0.6%
Other values (2652) 3413
53.8%
2023-12-12T11:30:43.518367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 5302
14.3%
5211
14.1%
0 5143
13.9%
1 4180
11.3%
5 4045
10.9%
8 3752
10.1%
9 2132
5.8%
6 1595
 
4.3%
2 1592
 
4.3%
7 1484
 
4.0%
Other values (2) 2642
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 26565
71.6%
Dash Punctuation 5302
 
14.3%
Space Separator 5211
 
14.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5143
19.4%
1 4180
15.7%
5 4045
15.2%
8 3752
14.1%
9 2132
8.0%
6 1595
 
6.0%
2 1592
 
6.0%
7 1484
 
5.6%
3 1461
 
5.5%
4 1181
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 5302
100.0%
Space Separator
ValueCountFrequency (%)
5211
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 37078
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 5302
14.3%
5211
14.1%
0 5143
13.9%
1 4180
11.3%
5 4045
10.9%
8 3752
10.1%
9 2132
5.8%
6 1595
 
4.3%
2 1592
 
4.3%
7 1484
 
4.0%
Other values (2) 2642
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37078
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 5302
14.3%
5211
14.1%
0 5143
13.9%
1 4180
11.3%
5 4045
10.9%
8 3752
10.1%
9 2132
5.8%
6 1595
 
4.3%
2 1592
 
4.3%
7 1484
 
4.0%
Other values (2) 2642
7.1%

Missing values

2023-12-12T11:30:39.393434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:30:39.499285image/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.
2023-12-12T11:30:39.598303image/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
0일반음식점울산식당부산광역시 부산진구 중앙대로 795-1 (부전동)부산광역시 부산진구 부전동 58-1051- 809-6135
1일반음식점서면대복집부산광역시 부산진구 서면문화로5번길 6 (부전동,,28)부산광역시 부산진구 부전동 475-27 ,28051- 809-3714
2일반음식점백천식당부산광역시 부산진구 동평로420번길 20 (양정동)부산광역시 부산진구 양정동 391-2051- 851-1433
3일반음식점칼국수집부산광역시 부산진구 서면로 56 (부전동)부산광역시 부산진구 부전동 256-6<NA>
4일반음식점초량갈비부산광역시 부산진구 가야대로588번길 5 (가야동)부산광역시 부산진구 가야동 273-1 외 271051- 898-9001
5일반음식점부영식당부산광역시 부산진구 새싹로8번길 13 (부전동)부산광역시 부산진구 부전동 262-9051- 809-1682
6일반음식점시장분식센타부산광역시 부산진구 서면로 56 (부전동)부산광역시 부산진구 부전동 256-6<NA>
7일반음식점선미식당부산광역시 부산진구 백양순환로164번가길 8 (부암동)부산광역시 부산진구 부암동 393-5051- 817-9827
8일반음식점대포집<NA>부산광역시 부산진구 당감동 253-0<NA>
9일반음식점동백<NA>부산광역시 부산진구 전포동 111-0<NA>
업종명업소명소재지(도로명)소재지(지번)소재지전화
5694일반음식점과육식당부산광역시 부산진구 서전로46번길 34, 3층 (전포동)부산광역시 부산진구 전포동 681-4<NA>
5695일반음식점팔구면옥부산광역시 부산진구 개금본동로 25, 1층 (개금동)부산광역시 부산진구 개금동 17-4<NA>
5696일반음식점에이치애비뉴호텔 서면역점부산광역시 부산진구 부전로 28, 1층 (부전동)부산광역시 부산진구 부전동 524-48<NA>
5697일반음식점일일수작 양정점부산광역시 부산진구 양지로5번길 11, 1층 (양정동)부산광역시 부산진구 양정동 353-15<NA>
5698일반음식점긴자료코 부산가야점부산광역시 부산진구 가야대로 538, 상가3동 101호 (가야동, 가야 롯데캐슬 골드아너)부산광역시 부산진구 가야동 700 가야 롯데캐슬 골드아너<NA>
5699일반음식점도쿠도쿠3호점부산광역시 부산진구 가야대로784번길 43-1, 3층 (부전동)부산광역시 부산진구 부전동 517-21<NA>
5700일반음식점덴푸라마켓부산광역시 부산진구 새싹로 266, 1층 일부 (초읍동)부산광역시 부산진구 초읍동 288-33<NA>
5701일반음식점친구랑횟집부산광역시 부산진구 중앙대로691번가길 15, 1층 (부전동)부산광역시 부산진구 부전동 515-7<NA>
5702일반음식점full moon(풀문)부산광역시 부산진구 전포대로276번길 18, 1층 (전포동)부산광역시 부산진구 전포동 178-21<NA>
5703일반음식점듭밥부산광역시 부산진구 서전로68번길 103, 1층 (전포동)부산광역시 부산진구 전포동 349-37<NA>

Duplicate rows

Most frequently occurring

업종명업소명소재지(도로명)소재지(지번)소재지전화# duplicates
0일반음식점대야성갈비부산광역시 부산진구 서면문화로5번길 12 (부전동,,18)부산광역시 부산진구 부전동 475-16 ,18051- 819-92922
1일반음식점소문부산광역시 부산진구 동천로95번길 25, 지상1층 (부전동)부산광역시 부산진구 부전동 168-8 지상1층<NA>2
2일반음식점포동푸딩부산광역시 부산진구 가야대로 772, 롯데백화점부산본점 지하2층 (부전동)부산광역시 부산진구 부전동 503-15 롯데백화점부산본점<NA>2