Overview

Dataset statistics

Number of variables5
Number of observations5578
Missing cells2905
Missing cells (%)10.4%
Duplicate rows2
Duplicate rows (%)< 0.1%
Total size in memory218.0 KiB
Average record size in memory40.0 B

Variable types

Categorical1
Text4

Dataset

Description부산광역시부산진구일반음식점현황_20221017
Author부산광역시 부산진구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15025552

Alerts

업종명 has constant value ""Constant
Dataset has 2 (< 0.1%) duplicate rowsDuplicates
전화번호 has 2867 (51.4%) missing valuesMissing

Reproduction

Analysis started2023-12-10 16:40:55.309331
Analysis finished2023-12-10 16:40:57.246861
Duration1.94 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size43.7 KiB
일반음식점
5578 

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 5578
100.0%

Length

2023-12-11T01:40:57.345485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:40:57.465529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 5578
100.0%

업소명
Text

Distinct5286
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size43.7 KiB
2023-12-11T01:40:57.750439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length32
Mean length5.9365364
Min length1

Characters and Unicode

Total characters33114
Distinct characters1011
Distinct categories11 ?
Distinct scripts5 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5055 ?
Unique (%)90.6%

Sample

1st row울산식당
2nd row서면대복집
3rd row백천식당
4th row칼국수집
5th row초량갈비
ValueCountFrequency (%)
서면점 92
 
1.4%
부산서면점 21
 
0.3%
양정점 17
 
0.3%
개금점 14
 
0.2%
전포점 14
 
0.2%
당감점 12
 
0.2%
가야점 12
 
0.2%
주식회사 11
 
0.2%
가마치통닭 9
 
0.1%
부산진구점 9
 
0.1%
Other values (5629) 6229
96.7%
2023-12-11T01:40:58.348379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 942
 
2.8%
862
 
2.6%
이 613
 
1.9%
식 457
 
1.4%
면 452
 
1.4%
당 449
 
1.4%
) 448
 
1.4%
( 448
 
1.4%
서 433
 
1.3%
스 406
 
1.2%
Other values (1001) 27604
83.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28844
87.1%
Lowercase Letter 1076
 
3.2%
Space Separator 862
 
2.6%
Uppercase Letter 814
 
2.5%
Decimal Number 477
 
1.4%
Close Punctuation 448
 
1.4%
Open Punctuation 448
 
1.4%
Other Punctuation 130
 
0.4%
Dash Punctuation 10
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 942
 
3.3%
이 613
 
2.1%
식 457
 
1.6%
면 452
 
1.6%
당 449
 
1.6%
서 433
 
1.5%
스 406
 
1.4%
리 398
 
1.4%
부 383
 
1.3%
가 369
 
1.3%
Other values (921) 23942
83.0%
Lowercase Letter
ValueCountFrequency (%)
e 142
13.2%
o 108
 
10.0%
a 107
 
9.9%
i 74
 
6.9%
n 63
 
5.9%
l 63
 
5.9%
r 61
 
5.7%
t 51
 
4.7%
s 47
 
4.4%
u 44
 
4.1%
Other values (16) 316
29.4%
Uppercase Letter
ValueCountFrequency (%)
O 71
 
8.7%
E 61
 
7.5%
B 58
 
7.1%
C 55
 
6.8%
A 55
 
6.8%
N 47
 
5.8%
T 36
 
4.4%
D 35
 
4.3%
H 35
 
4.3%
M 33
 
4.1%
Other values (16) 328
40.3%
Other Punctuation
ValueCountFrequency (%)
& 53
40.8%
. 26
20.0%
, 24
18.5%
· 6
 
4.6%
! 5
 
3.8%
' 5
 
3.8%
# 4
 
3.1%
: 2
 
1.5%
/ 2
 
1.5%
? 2
 
1.5%
Decimal Number
ValueCountFrequency (%)
1 105
22.0%
2 81
17.0%
0 63
13.2%
3 41
 
8.6%
9 41
 
8.6%
8 39
 
8.2%
7 31
 
6.5%
4 28
 
5.9%
6 25
 
5.2%
5 23
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 9
90.0%
― 1
 
10.0%
Space Separator
ValueCountFrequency (%)
862
100.0%
Close Punctuation
ValueCountFrequency (%)
) 448
100.0%
Open Punctuation
ValueCountFrequency (%)
( 448
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28823
87.0%
Common 2380
 
7.2%
Latin 1890
 
5.7%
Han 18
 
0.1%
Katakana 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 942
 
3.3%
이 613
 
2.1%
식 457
 
1.6%
면 452
 
1.6%
당 449
 
1.6%
서 433
 
1.5%
스 406
 
1.4%
리 398
 
1.4%
부 383
 
1.3%
가 369
 
1.3%
Other values (901) 23921
83.0%
Latin
ValueCountFrequency (%)
e 142
 
7.5%
o 108
 
5.7%
a 107
 
5.7%
i 74
 
3.9%
O 71
 
3.8%
n 63
 
3.3%
l 63
 
3.3%
E 61
 
3.2%
r 61
 
3.2%
B 58
 
3.1%
Other values (42) 1082
57.2%
Common
ValueCountFrequency (%)
862
36.2%
) 448
18.8%
( 448
18.8%
1 105
 
4.4%
2 81
 
3.4%
0 63
 
2.6%
& 53
 
2.2%
3 41
 
1.7%
9 41
 
1.7%
8 39
 
1.6%
Other values (18) 199
 
8.4%
Han
ValueCountFrequency (%)
漁 2
 
11.1%
肉 1
 
5.6%
目 1
 
5.6%
下 1
 
5.6%
夜 1
 
5.6%
代 1
 
5.6%
朴 1
 
5.6%
色 1
 
5.6%
志 1
 
5.6%
酒 1
 
5.6%
Other values (7) 7
38.9%
Katakana
ValueCountFrequency (%)
ブ 1
33.3%
ル 1
33.3%
ス 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28820
87.0%
ASCII 4262
 
12.9%
CJK 18
 
0.1%
None 7
 
< 0.1%
Compat Jamo 3
 
< 0.1%
Katakana 3
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 942
 
3.3%
이 613
 
2.1%
식 457
 
1.6%
면 452
 
1.6%
당 449
 
1.6%
서 433
 
1.5%
스 406
 
1.4%
리 398
 
1.4%
부 383
 
1.3%
가 369
 
1.3%
Other values (899) 23918
83.0%
ASCII
ValueCountFrequency (%)
862
20.2%
) 448
 
10.5%
( 448
 
10.5%
e 142
 
3.3%
o 108
 
2.5%
a 107
 
2.5%
1 105
 
2.5%
2 81
 
1.9%
i 74
 
1.7%
O 71
 
1.7%
Other values (67) 1816
42.6%
None
ValueCountFrequency (%)
· 6
85.7%
＆ 1
 
14.3%
CJK
ValueCountFrequency (%)
漁 2
 
11.1%
肉 1
 
5.6%
目 1
 
5.6%
下 1
 
5.6%
夜 1
 
5.6%
代 1
 
5.6%
朴 1
 
5.6%
色 1
 
5.6%
志 1
 
5.6%
酒 1
 
5.6%
Other values (7) 7
38.9%
Compat Jamo
ValueCountFrequency (%)
ㅁ 2
66.7%
ㄷ 1
33.3%
Katakana
ValueCountFrequency (%)
ブ 1
33.3%
ル 1
33.3%
ス 1
33.3%
Punctuation
ValueCountFrequency (%)
― 1
100.0%

소재지(도로명)
Text

Distinct5082
Distinct (%)91.7%
Missing37
Missing (%)0.7%
Memory size43.7 KiB
2023-12-11T01:40:58.699441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length60
Mean length32.175781
Min length22

Characters and Unicode

Total characters178286
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

Unique4736 ?
Unique (%)85.5%

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 5541
 
16.8%
부산진구 5541
 
16.8%
1층 2013
 
6.1%
부전동 1646
 
5.0%
전포동 916
 
2.8%
양정동 457
 
1.4%
2층 448
 
1.4%
개금동 420
 
1.3%
당감동 408
 
1.2%
가야동 383
 
1.2%
Other values (2399) 15279
46.2%
2023-12-11T01:40:59.325887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27514
 
15.4%
부 13725
 
7.7%
산 11174
 
6.3%
1 7631
 
4.3%
동 6591
 
3.7%
) 5887
 
3.3%
( 5886
 
3.3%
광 5717
 
3.2%
진 5635
 
3.2%
시 5614
 
3.1%
Other values (348) 82912
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 104991
58.9%
Decimal Number 27615
 
15.5%
Space Separator 27514
 
15.4%
Close Punctuation 5888
 
3.3%
Open Punctuation 5887
 
3.3%
Other Punctuation 4933
 
2.8%
Dash Punctuation 1260
 
0.7%
Uppercase Letter 152
 
0.1%
Math Symbol 39
 
< 0.1%
Lowercase Letter 3
 
< 0.1%
Other values (3) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 13725
 
13.1%
산 11174
 
10.6%
동 6591
 
6.3%
광 5717
 
5.4%
진 5635
 
5.4%
시 5614
 
5.3%
역 5558
 
5.3%
구 5541
 
5.3%
로 5522
 
5.3%
층 4029
 
3.8%
Other values (296) 35885
34.2%
Uppercase Letter
ValueCountFrequency (%)
B 47
30.9%
A 22
14.5%
T 13
 
8.6%
C 11
 
7.2%
K 10
 
6.6%
G 10
 
6.6%
L 6
 
3.9%
P 5
 
3.3%
E 5
 
3.3%
H 4
 
2.6%
Other values (9) 19
12.5%
Decimal Number
ValueCountFrequency (%)
1 7631
27.6%
2 3793
13.7%
3 2331
 
8.4%
6 2324
 
8.4%
0 2249
 
8.1%
5 2187
 
7.9%
4 2059
 
7.5%
8 1782
 
6.5%
7 1775
 
6.4%
9 1484
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 4907
99.5%
. 9
 
0.2%
& 6
 
0.1%
/ 4
 
0.1%
@ 3
 
0.1%
: 2
 
< 0.1%
· 1
 
< 0.1%
* 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 37
94.9%
< 1
 
2.6%
= 1
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
c 1
33.3%
b 1
33.3%
l 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 5887
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 5886
> 99.9%
[ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
27514
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1260
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 104991
58.9%
Common 73138
41.0%
Latin 157
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 13725
 
13.1%
산 11174
 
10.6%
동 6591
 
6.3%
광 5717
 
5.4%
진 5635
 
5.4%
시 5614
 
5.3%
역 5558
 
5.3%
구 5541
 
5.3%
로 5522
 
5.3%
층 4029
 
3.8%
Other values (296) 35885
34.2%
Common
ValueCountFrequency (%)
27514
37.6%
1 7631
 
10.4%
) 5887
 
8.0%
( 5886
 
8.0%
, 4907
 
6.7%
2 3793
 
5.2%
3 2331
 
3.2%
6 2324
 
3.2%
0 2249
 
3.1%
5 2187
 
3.0%
Other values (19) 8429
 
11.5%
Latin
ValueCountFrequency (%)
B 47
29.9%
A 22
14.0%
T 13
 
8.3%
C 11
 
7.0%
K 10
 
6.4%
G 10
 
6.4%
L 6
 
3.8%
P 5
 
3.2%
E 5
 
3.2%
H 4
 
2.5%
Other values (13) 24
15.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 104991
58.9%
ASCII 73292
41.1%
Number Forms 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27514
37.5%
1 7631
 
10.4%
) 5887
 
8.0%
( 5886
 
8.0%
, 4907
 
6.7%
2 3793
 
5.2%
3 2331
 
3.2%
6 2324
 
3.2%
0 2249
 
3.1%
5 2187
 
3.0%
Other values (40) 8583
 
11.7%
Hangul
ValueCountFrequency (%)
부 13725
 
13.1%
산 11174
 
10.6%
동 6591
 
6.3%
광 5717
 
5.4%
진 5635
 
5.4%
시 5614
 
5.3%
역 5558
 
5.3%
구 5541
 
5.3%
로 5522
 
5.3%
층 4029
 
3.8%
Other values (296) 35885
34.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

소재지(지번)
Text

Distinct4449
Distinct (%)79.8%
Missing1
Missing (%)< 0.1%
Memory size43.7 KiB
2023-12-11T01:40:59.733079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length58
Mean length23.968442
Min length18

Characters and Unicode

Total characters133672
Distinct characters338
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

Unique3736 ?
Unique (%)67.0%

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 5577
22.6%
부산진구 5577
22.6%
부전동 1803
 
7.3%
전포동 946
 
3.8%
양정동 494
 
2.0%
개금동 479
 
1.9%
당감동 462
 
1.9%
가야동 419
 
1.7%
1층 388
 
1.6%
범천동 333
 
1.4%
Other values (4247) 8174
33.2%
2023-12-11T01:41:00.311453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24581
18.4%
부 13474
 
10.1%
산 11215
 
8.4%
1 5733
 
4.3%
동 5733
 
4.3%
시 5617
 
4.2%
진 5595
 
4.2%
광 5589
 
4.2%
역 5589
 
4.2%
구 5577
 
4.2%
Other values (328) 44969
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 74531
55.8%
Decimal Number 27741
 
20.8%
Space Separator 24581
 
18.4%
Dash Punctuation 5396
 
4.0%
Close Punctuation 532
 
0.4%
Open Punctuation 531
 
0.4%
Other Punctuation 239
 
0.2%
Uppercase Letter 100
 
0.1%
Math Symbol 17
 
< 0.1%
Letter Number 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 13474
18.1%
산 11215
15.0%
동 5733
7.7%
시 5617
7.5%
진 5595
7.5%
광 5589
7.5%
역 5589
7.5%
구 5577
7.5%
전 2865
 
3.8%
층 1285
 
1.7%
Other values (282) 11992
16.1%
Uppercase Letter
ValueCountFrequency (%)
T 14
14.0%
B 13
13.0%
K 10
10.0%
G 10
10.0%
C 9
9.0%
A 6
 
6.0%
P 6
 
6.0%
E 5
 
5.0%
L 5
 
5.0%
V 4
 
4.0%
Other values (9) 18
18.0%
Decimal Number
ValueCountFrequency (%)
1 5733
20.7%
2 3764
13.6%
3 3079
11.1%
5 2661
9.6%
6 2623
9.5%
4 2514
9.1%
8 2080
 
7.5%
7 2015
 
7.3%
0 1800
 
6.5%
9 1472
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 214
89.5%
. 9
 
3.8%
& 6
 
2.5%
/ 4
 
1.7%
@ 3
 
1.3%
: 2
 
0.8%
· 1
 
0.4%
Math Symbol
ValueCountFrequency (%)
~ 15
88.2%
< 1
 
5.9%
= 1
 
5.9%
Space Separator
ValueCountFrequency (%)
24581
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5396
100.0%
Close Punctuation
ValueCountFrequency (%)
) 532
100.0%
Open Punctuation
ValueCountFrequency (%)
( 531
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 74531
55.8%
Common 59038
44.2%
Latin 103
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 13474
18.1%
산 11215
15.0%
동 5733
7.7%
시 5617
7.5%
진 5595
7.5%
광 5589
7.5%
역 5589
7.5%
구 5577
7.5%
전 2865
 
3.8%
층 1285
 
1.7%
Other values (282) 11992
16.1%
Common
ValueCountFrequency (%)
24581
41.6%
1 5733
 
9.7%
- 5396
 
9.1%
2 3764
 
6.4%
3 3079
 
5.2%
5 2661
 
4.5%
6 2623
 
4.4%
4 2514
 
4.3%
8 2080
 
3.5%
7 2015
 
3.4%
Other values (15) 4592
 
7.8%
Latin
ValueCountFrequency (%)
T 14
13.6%
B 13
12.6%
K 10
9.7%
G 10
9.7%
C 9
8.7%
A 6
 
5.8%
P 6
 
5.8%
E 5
 
4.9%
L 5
 
4.9%
V 4
 
3.9%
Other values (11) 21
20.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 74531
55.8%
ASCII 59138
44.2%
Number Forms 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24581
41.6%
1 5733
 
9.7%
- 5396
 
9.1%
2 3764
 
6.4%
3 3079
 
5.2%
5 2661
 
4.5%
6 2623
 
4.4%
4 2514
 
4.3%
8 2080
 
3.5%
7 2015
 
3.4%
Other values (34) 4692
 
7.9%
Hangul
ValueCountFrequency (%)
부 13474
18.1%
산 11215
15.0%
동 5733
7.7%
시 5617
7.5%
진 5595
7.5%
광 5589
7.5%
역 5589
7.5%
구 5577
7.5%
전 2865
 
3.8%
층 1285
 
1.7%
Other values (282) 11992
16.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

전화번호
Text

MISSING 

Distinct2664
Distinct (%)98.3%
Missing2867
Missing (%)51.4%
Memory size43.7 KiB
2023-12-11T01:41:00.623584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.022501
Min length10

Characters and Unicode

Total characters32593
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

Unique2620 ?
Unique (%)96.6%

Sample

1st row051-809-6135
2nd row051-809-3714
3rd row051-851-1433
4th row051-898-9001
5th row051-809-1682
ValueCountFrequency (%)
051-643-7722 3
 
0.1%
051-810-5601 3
 
0.1%
051-805-5449 3
 
0.1%
051-807-9084 2
 
0.1%
051-806-2998 2
 
0.1%
051-893-7707 2
 
0.1%
051-807-6709 2
 
0.1%
051-801-1040 2
 
0.1%
051-809-2100 2
 
0.1%
051-909-2770 2
 
0.1%
Other values (2654) 2688
99.2%
2023-12-11T01:41:01.325772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 5422
16.6%
0 5261
16.1%
1 4290
13.2%
5 4134
12.7%
8 3862
11.8%
9 2179
6.7%
6 1654
 
5.1%
2 1598
 
4.9%
7 1509
 
4.6%
3 1492
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 27171
83.4%
Dash Punctuation 5422
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5261
19.4%
1 4290
15.8%
5 4134
15.2%
8 3862
14.2%
9 2179
8.0%
6 1654
 
6.1%
2 1598
 
5.9%
7 1509
 
5.6%
3 1492
 
5.5%
4 1192
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 5422
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32593
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 5422
16.6%
0 5261
16.1%
1 4290
13.2%
5 4134
12.7%
8 3862
11.8%
9 2179
6.7%
6 1654
 
5.1%
2 1598
 
4.9%
7 1509
 
4.6%
3 1492
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32593
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 5422
16.6%
0 5261
16.1%
1 4290
13.2%
5 4134
12.7%
8 3862
11.8%
9 2179
6.7%
6 1654
 
5.1%
2 1598
 
4.9%
7 1509
 
4.6%
3 1492
 
4.6%

Missing values

2023-12-11T01:40:56.833170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:40:56.998538image/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.
2023-12-11T01:40:57.158083image/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)전화번호
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)전화번호
5568일반음식점카우머치(Cowmuch)부산광역시 부산진구 복지로8번길 18, 2층 12호 (개금동)부산광역시 부산진구 개금동 501-3<NA>
5569일반음식점보름달부산광역시 부산진구 동성로 61-1, 3층 (전포동)부산광역시 부산진구 전포동 287-1<NA>
5570일반음식점백소정 서면점부산광역시 부산진구 중앙대로702번길 13, 2층 (부전동)부산광역시 부산진구 부전동 168-197<NA>
5571일반음식점이가네사각김밥부산광역시 부산진구 양지로11번길 16, 1층 (양정동)부산광역시 부산진구 양정동 361-1<NA>
5572일반음식점그레잇 벌스부산광역시 부산진구 전포대로176번길 34, 1층 (전포동)부산광역시 부산진구 전포동 359-19<NA>
5573일반음식점(주)우미남 서면점부산광역시 부산진구 부전로 34, 황제주차빌딩 1층 (부전동)부산광역시 부산진구 부전동 524-43 (외 1필지), 지상1층<NA>
5574일반음식점더 보일링 하우스(The Boiling House)부산광역시 부산진구 서전로68번길 60, 2층 (전포동)부산광역시 부산진구 전포동 313-2<NA>
5575일반음식점유케야 가야동의대점부산광역시 부산진구 대학로 16, 1층 (가야동)부산광역시 부산진구 가야동 271-39<NA>
5576일반음식점홀덤펍TOP부산광역시 부산진구 동천로95번길 13, 5층 (부전동)부산광역시 부산진구 부전동 168-367<NA>
5577일반음식점아덴블랑제리 부암역점부산광역시 부산진구 가야대로 702, 101동 1층 상가103호 (범천동, 서면 이-편한세상)부산광역시 부산진구 범천동 1054 서면 이-편한세상<NA>

Duplicate rows

Most frequently occurring

업종명업소명소재지(도로명)소재지(지번)전화번호# 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