Overview

Dataset statistics

Number of variables5
Number of observations3688
Missing cells1889
Missing cells (%)10.2%
Duplicate rows282
Duplicate rows (%)7.6%
Total size in memory144.2 KiB
Average record size in memory40.0 B

Variable types

Categorical1
Text4

Dataset

Description부산광역시남구식품접객업소현황_20230411
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3081505

Alerts

Dataset has 282 (7.6%) duplicate rowsDuplicates
소재지전화 has 1866 (50.6%) missing valuesMissing

Reproduction

Analysis started2024-04-21 07:57:00.138440
Analysis finished2024-04-21 07:57:02.670732
Duration2.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.9 KiB
일반음식점
2899 
휴게음식점
720 
제과점영업
 
69

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 2899
78.6%
휴게음식점 720
 
19.5%
제과점영업 69
 
1.9%

Length

2024-04-21T16:57:02.881416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:57:03.200401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 2899
78.6%
휴게음식점 720
 
19.5%
제과점영업 69
 
1.9%

업소명
Text

Distinct3318
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size28.9 KiB
2024-04-21T16:57:04.230782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length28
Mean length7.1778742
Min length1

Characters and Unicode

Total characters26472
Distinct characters895
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2981 ?
Unique (%)80.8%

Sample

1st row중국성
2nd row웨이양
3rd row동원식당
4th row다리집
5th row시골밥상
ValueCountFrequency (%)
대연점 122
 
2.3%
경성대점 62
 
1.2%
용호점 55
 
1.0%
문현점 47
 
0.9%
세븐일레븐 24
 
0.4%
부경대점 24
 
0.4%
씨유 22
 
0.4%
부산대연점 21
 
0.4%
경성대부경대점 20
 
0.4%
카페 18
 
0.3%
Other values (3754) 4934
92.2%
2024-04-21T16:57:05.789277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1662
 
6.3%
점 994
 
3.8%
대 639
 
2.4%
이 514
 
1.9%
( 405
 
1.5%
) 404
 
1.5%
스 387
 
1.5%
부 359
 
1.4%
연 338
 
1.3%
리 314
 
1.2%
Other values (885) 20456
77.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21444
81.0%
Space Separator 1662
 
6.3%
Uppercase Letter 1042
 
3.9%
Lowercase Letter 956
 
3.6%
Decimal Number 442
 
1.7%
Open Punctuation 407
 
1.5%
Close Punctuation 406
 
1.5%
Other Punctuation 87
 
0.3%
Dash Punctuation 13
 
< 0.1%
Letter Number 5
 
< 0.1%
Other values (4) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 994
 
4.6%
대 639
 
3.0%
이 514
 
2.4%
스 387
 
1.8%
부 359
 
1.7%
연 338
 
1.6%
리 314
 
1.5%
경 263
 
1.2%
산 258
 
1.2%
호 250
 
1.2%
Other values (800) 17128
79.9%
Uppercase Letter
ValueCountFrequency (%)
C 100
 
9.6%
S 87
 
8.3%
G 74
 
7.1%
E 71
 
6.8%
O 70
 
6.7%
A 64
 
6.1%
B 63
 
6.0%
P 48
 
4.6%
I 45
 
4.3%
F 45
 
4.3%
Other values (16) 375
36.0%
Lowercase Letter
ValueCountFrequency (%)
e 138
14.4%
a 96
 
10.0%
o 96
 
10.0%
n 66
 
6.9%
i 58
 
6.1%
t 51
 
5.3%
f 49
 
5.1%
c 46
 
4.8%
s 44
 
4.6%
r 43
 
4.5%
Other values (15) 269
28.1%
Decimal Number
ValueCountFrequency (%)
2 95
21.5%
5 76
17.2%
1 72
16.3%
0 48
10.9%
3 36
 
8.1%
4 29
 
6.6%
9 29
 
6.6%
6 19
 
4.3%
8 19
 
4.3%
7 19
 
4.3%
Other Punctuation
ValueCountFrequency (%)
& 38
43.7%
, 17
19.5%
. 10
 
11.5%
' 6
 
6.9%
! 5
 
5.7%
: 4
 
4.6%
# 3
 
3.4%
· 2
 
2.3%
; 1
 
1.1%
* 1
 
1.1%
Open Punctuation
ValueCountFrequency (%)
( 405
99.5%
[ 2
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 404
99.5%
] 2
 
0.5%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
80.0%
Ⅰ 1
 
20.0%
Other Symbol
ValueCountFrequency (%)
° 2
66.7%
℃ 1
33.3%
Math Symbol
ValueCountFrequency (%)
= 1
50.0%
× 1
50.0%
Space Separator
ValueCountFrequency (%)
1662
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21432
81.0%
Common 3025
 
11.4%
Latin 2003
 
7.6%
Han 12
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 994
 
4.6%
대 639
 
3.0%
이 514
 
2.4%
스 387
 
1.8%
부 359
 
1.7%
연 338
 
1.6%
리 314
 
1.5%
경 263
 
1.2%
산 258
 
1.2%
호 250
 
1.2%
Other values (789) 17116
79.9%
Latin
ValueCountFrequency (%)
e 138
 
6.9%
C 100
 
5.0%
a 96
 
4.8%
o 96
 
4.8%
S 87
 
4.3%
G 74
 
3.7%
E 71
 
3.5%
O 70
 
3.5%
n 66
 
3.3%
A 64
 
3.2%
Other values (43) 1141
57.0%
Common
ValueCountFrequency (%)
1662
54.9%
( 405
 
13.4%
) 404
 
13.4%
2 95
 
3.1%
5 76
 
2.5%
1 72
 
2.4%
0 48
 
1.6%
& 38
 
1.3%
3 36
 
1.2%
4 29
 
1.0%
Other values (22) 160
 
5.3%
Han
ValueCountFrequency (%)
人 2
16.7%
海 1
8.3%
晶 1
8.3%
麻 1
8.3%
辣 1
8.3%
林 1
8.3%
娟 1
8.3%
食 1
8.3%
休 1
8.3%
愛 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21432
81.0%
ASCII 5017
 
19.0%
CJK 12
 
< 0.1%
Number Forms 5
 
< 0.1%
None 5
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1662
33.1%
( 405
 
8.1%
) 404
 
8.1%
e 138
 
2.8%
C 100
 
2.0%
a 96
 
1.9%
o 96
 
1.9%
2 95
 
1.9%
S 87
 
1.7%
5 76
 
1.5%
Other values (69) 1858
37.0%
Hangul
ValueCountFrequency (%)
점 994
 
4.6%
대 639
 
3.0%
이 514
 
2.4%
스 387
 
1.8%
부 359
 
1.7%
연 338
 
1.6%
리 314
 
1.5%
경 263
 
1.2%
산 258
 
1.2%
호 250
 
1.2%
Other values (789) 17116
79.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
80.0%
Ⅰ 1
 
20.0%
None
ValueCountFrequency (%)
· 2
40.0%
° 2
40.0%
× 1
20.0%
CJK
ValueCountFrequency (%)
人 2
16.7%
海 1
8.3%
晶 1
8.3%
麻 1
8.3%
辣 1
8.3%
林 1
8.3%
娟 1
8.3%
食 1
8.3%
休 1
8.3%
愛 1
8.3%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

소재지(도로명)
Text

Distinct3123
Distinct (%)85.2%
Missing22
Missing (%)0.6%
Memory size28.9 KiB
2024-04-21T16:57:06.841543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length97
Median length63
Mean length30.881069
Min length20

Characters and Unicode

Total characters113210
Distinct characters390
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

Unique2720 ?
Unique (%)74.2%

Sample

1st row부산광역시 남구 무민사로 41 (감만동)
2nd row부산광역시 남구 용소로7번길 78 (대연동)
3rd row부산광역시 남구 홍곡로 359 (대연동)
4th row부산광역시 남구 신선로329번길 92 (용당동)
5th row부산광역시 남구 유엔로120번길 43 (대연동, 1층 일부분)
ValueCountFrequency (%)
부산광역시 3666
 
16.1%
남구 3666
 
16.1%
대연동 1947
 
8.5%
1층 1167
 
5.1%
용호동 809
 
3.5%
문현동 543
 
2.4%
2층 257
 
1.1%
일부호 254
 
1.1%
수영로 229
 
1.0%
분포로 152
 
0.7%
Other values (1855) 10138
44.4%
2024-04-21T16:57:08.396907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19164
 
16.9%
1 5868
 
5.2%
동 4592
 
4.1%
부 4268
 
3.8%
) 3923
 
3.5%
( 3923
 
3.5%
남 3820
 
3.4%
시 3776
 
3.3%
산 3767
 
3.3%
로 3737
 
3.3%
Other values (380) 56372
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63649
56.2%
Space Separator 19164
 
16.9%
Decimal Number 18556
 
16.4%
Close Punctuation 3923
 
3.5%
Open Punctuation 3923
 
3.5%
Other Punctuation 2905
 
2.6%
Dash Punctuation 605
 
0.5%
Uppercase Letter 404
 
0.4%
Lowercase Letter 52
 
< 0.1%
Math Symbol 29
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 4592
 
7.2%
부 4268
 
6.7%
남 3820
 
6.0%
시 3776
 
5.9%
산 3767
 
5.9%
로 3737
 
5.9%
광 3681
 
5.8%
역 3670
 
5.8%
구 3669
 
5.8%
대 2397
 
3.8%
Other values (325) 26272
41.3%
Uppercase Letter
ValueCountFrequency (%)
A 98
24.3%
B 77
19.1%
S 51
12.6%
G 37
 
9.2%
I 22
 
5.4%
C 21
 
5.2%
F 15
 
3.7%
E 15
 
3.7%
K 15
 
3.7%
W 12
 
3.0%
Other values (12) 41
10.1%
Lowercase Letter
ValueCountFrequency (%)
l 17
32.7%
i 10
19.2%
s 9
17.3%
a 4
 
7.7%
o 2
 
3.8%
f 2
 
3.8%
n 2
 
3.8%
r 2
 
3.8%
w 1
 
1.9%
t 1
 
1.9%
Other values (2) 2
 
3.8%
Decimal Number
ValueCountFrequency (%)
1 5868
31.6%
2 2516
13.6%
3 1926
 
10.4%
0 1552
 
8.4%
4 1532
 
8.3%
5 1209
 
6.5%
6 1204
 
6.5%
7 955
 
5.1%
9 932
 
5.0%
8 862
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 2893
99.6%
. 7
 
0.2%
& 2
 
0.1%
@ 1
 
< 0.1%
: 1
 
< 0.1%
/ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
19164
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3923
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3923
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 605
100.0%
Math Symbol
ValueCountFrequency (%)
~ 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63649
56.2%
Common 49105
43.4%
Latin 456
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 4592
 
7.2%
부 4268
 
6.7%
남 3820
 
6.0%
시 3776
 
5.9%
산 3767
 
5.9%
로 3737
 
5.9%
광 3681
 
5.8%
역 3670
 
5.8%
구 3669
 
5.8%
대 2397
 
3.8%
Other values (325) 26272
41.3%
Latin
ValueCountFrequency (%)
A 98
21.5%
B 77
16.9%
S 51
11.2%
G 37
 
8.1%
I 22
 
4.8%
C 21
 
4.6%
l 17
 
3.7%
F 15
 
3.3%
E 15
 
3.3%
K 15
 
3.3%
Other values (24) 88
19.3%
Common
ValueCountFrequency (%)
19164
39.0%
1 5868
 
11.9%
) 3923
 
8.0%
( 3923
 
8.0%
, 2893
 
5.9%
2 2516
 
5.1%
3 1926
 
3.9%
0 1552
 
3.2%
4 1532
 
3.1%
5 1209
 
2.5%
Other values (11) 4599
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63649
56.2%
ASCII 49561
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19164
38.7%
1 5868
 
11.8%
) 3923
 
7.9%
( 3923
 
7.9%
, 2893
 
5.8%
2 2516
 
5.1%
3 1926
 
3.9%
0 1552
 
3.1%
4 1532
 
3.1%
5 1209
 
2.4%
Other values (45) 5055
 
10.2%
Hangul
ValueCountFrequency (%)
동 4592
 
7.2%
부 4268
 
6.7%
남 3820
 
6.0%
시 3776
 
5.9%
산 3767
 
5.9%
로 3737
 
5.9%
광 3681
 
5.8%
역 3670
 
5.8%
구 3669
 
5.8%
대 2397
 
3.8%
Other values (325) 26272
41.3%

소재지(지번)
Text

Distinct2505
Distinct (%)67.9%
Missing1
Missing (%)< 0.1%
Memory size28.9 KiB
2024-04-21T16:57:09.675784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length46
Mean length22.069704
Min length15

Characters and Unicode

Total characters81371
Distinct characters446
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

Unique1848 ?
Unique (%)50.1%

Sample

1st row부산광역시 남구 감만동 292-3
2nd row부산광역시 남구 대연동 34-21
3rd row부산광역시 남구 대연동 1169-1
4th row부산광역시 남구 용당동 218-13
5th row부산광역시 남구 대연동 1090-17 1층 일부분
ValueCountFrequency (%)
부산광역시 3687
22.2%
남구 3687
22.2%
대연동 2007
 
12.1%
용호동 822
 
4.9%
문현동 561
 
3.4%
감만동 147
 
0.9%
용당동 93
 
0.6%
1층 89
 
0.5%
954 80
 
0.5%
더블유 79
 
0.5%
Other values (2828) 5387
32.4%
2024-04-21T16:57:11.425602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16460
20.2%
동 3909
 
4.8%
부 3829
 
4.7%
산 3802
 
4.7%
시 3787
 
4.7%
광 3702
 
4.5%
남 3695
 
4.5%
구 3693
 
4.5%
역 3690
 
4.5%
1 3654
 
4.5%
Other values (436) 31150
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43644
53.6%
Decimal Number 17259
 
21.2%
Space Separator 16460
 
20.2%
Dash Punctuation 3393
 
4.2%
Uppercase Letter 270
 
0.3%
Open Punctuation 104
 
0.1%
Close Punctuation 103
 
0.1%
Other Punctuation 69
 
0.1%
Lowercase Letter 62
 
0.1%
Math Symbol 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3909
9.0%
부 3829
8.8%
산 3802
8.7%
시 3787
8.7%
광 3702
8.5%
남 3695
8.5%
구 3693
8.5%
역 3690
8.5%
대 2207
 
5.1%
연 2131
 
4.9%
Other values (379) 9199
21.1%
Uppercase Letter
ValueCountFrequency (%)
S 56
20.7%
G 36
13.3%
A 30
11.1%
B 22
 
8.1%
K 18
 
6.7%
E 15
 
5.6%
I 11
 
4.1%
T 10
 
3.7%
W 10
 
3.7%
H 10
 
3.7%
Other values (13) 52
19.3%
Lowercase Letter
ValueCountFrequency (%)
l 18
29.0%
s 10
16.1%
i 10
16.1%
n 4
 
6.5%
a 4
 
6.5%
c 3
 
4.8%
r 3
 
4.8%
o 3
 
4.8%
b 2
 
3.2%
p 2
 
3.2%
Other values (3) 3
 
4.8%
Decimal Number
ValueCountFrequency (%)
1 3654
21.2%
2 2000
11.6%
5 1970
11.4%
3 1806
10.5%
4 1604
9.3%
7 1400
 
8.1%
6 1390
 
8.1%
9 1176
 
6.8%
8 1133
 
6.6%
0 1126
 
6.5%
Other Punctuation
ValueCountFrequency (%)
, 53
76.8%
. 10
 
14.5%
/ 2
 
2.9%
& 2
 
2.9%
@ 1
 
1.4%
: 1
 
1.4%
Space Separator
ValueCountFrequency (%)
16460
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3393
100.0%
Open Punctuation
ValueCountFrequency (%)
( 104
100.0%
Close Punctuation
ValueCountFrequency (%)
) 103
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43644
53.6%
Common 37395
46.0%
Latin 332
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3909
9.0%
부 3829
8.8%
산 3802
8.7%
시 3787
8.7%
광 3702
8.5%
남 3695
8.5%
구 3693
8.5%
역 3690
8.5%
대 2207
 
5.1%
연 2131
 
4.9%
Other values (379) 9199
21.1%
Latin
ValueCountFrequency (%)
S 56
16.9%
G 36
 
10.8%
A 30
 
9.0%
B 22
 
6.6%
K 18
 
5.4%
l 18
 
5.4%
E 15
 
4.5%
I 11
 
3.3%
T 10
 
3.0%
s 10
 
3.0%
Other values (26) 106
31.9%
Common
ValueCountFrequency (%)
16460
44.0%
1 3654
 
9.8%
- 3393
 
9.1%
2 2000
 
5.3%
5 1970
 
5.3%
3 1806
 
4.8%
4 1604
 
4.3%
7 1400
 
3.7%
6 1390
 
3.7%
9 1176
 
3.1%
Other values (11) 2542
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43644
53.6%
ASCII 37727
46.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16460
43.6%
1 3654
 
9.7%
- 3393
 
9.0%
2 2000
 
5.3%
5 1970
 
5.2%
3 1806
 
4.8%
4 1604
 
4.3%
7 1400
 
3.7%
6 1390
 
3.7%
9 1176
 
3.1%
Other values (47) 2874
 
7.6%
Hangul
ValueCountFrequency (%)
동 3909
9.0%
부 3829
8.8%
산 3802
8.7%
시 3787
8.7%
광 3702
8.5%
남 3695
8.5%
구 3693
8.5%
역 3690
8.5%
대 2207
 
5.1%
연 2131
 
4.9%
Other values (379) 9199
21.1%

소재지전화
Text

MISSING 

Distinct1578
Distinct (%)86.6%
Missing1866
Missing (%)50.6%
Memory size28.9 KiB
2024-04-21T16:57:12.403211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.002195
Min length5

Characters and Unicode

Total characters21868
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

Unique1350 ?
Unique (%)74.1%

Sample

1st row051-646-2777
2nd row051-627-5326
3rd row051-624-0257
4th row051-645-1377
5th row051-626-8292
ValueCountFrequency (%)
051 8
 
0.4%
051-643-0127 4
 
0.2%
051-632-2705 3
 
0.2%
051-638-7212 3
 
0.2%
051-627-7551 3
 
0.2%
051-635-9977 3
 
0.2%
051-626-7796 3
 
0.2%
051-626-6170 3
 
0.2%
051-627-4319 3
 
0.2%
051-625-6366 3
 
0.2%
Other values (1568) 1786
98.0%
2024-04-21T16:57:13.780411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 3644
16.7%
1 3110
14.2%
0 2892
13.2%
5 2703
12.4%
6 2431
11.1%
2 2057
9.4%
3 1298
 
5.9%
7 1103
 
5.0%
8 943
 
4.3%
9 858
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18224
83.3%
Dash Punctuation 3644
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3110
17.1%
0 2892
15.9%
5 2703
14.8%
6 2431
13.3%
2 2057
11.3%
3 1298
7.1%
7 1103
 
6.1%
8 943
 
5.2%
9 858
 
4.7%
4 829
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 3644
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21868
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 3644
16.7%
1 3110
14.2%
0 2892
13.2%
5 2703
12.4%
6 2431
11.1%
2 2057
9.4%
3 1298
 
5.9%
7 1103
 
5.0%
8 943
 
4.3%
9 858
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21868
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 3644
16.7%
1 3110
14.2%
0 2892
13.2%
5 2703
12.4%
6 2431
11.1%
2 2057
9.4%
3 1298
 
5.9%
7 1103
 
5.0%
8 943
 
4.3%
9 858
 
3.9%

Missing values

2024-04-21T16:57:01.743411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T16:57:02.057356image/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.
2024-04-21T16:57:02.526231image/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
0일반음식점중국성부산광역시 남구 무민사로 41 (감만동)부산광역시 남구 감만동 292-3051-646-2777
1일반음식점웨이양부산광역시 남구 용소로7번길 78 (대연동)부산광역시 남구 대연동 34-21<NA>
2일반음식점동원식당부산광역시 남구 홍곡로 359 (대연동)부산광역시 남구 대연동 1169-1051-627-5326
3일반음식점다리집부산광역시 남구 신선로329번길 92 (용당동)부산광역시 남구 용당동 218-13051-624-0257
4일반음식점시골밥상부산광역시 남구 유엔로120번길 43 (대연동, 1층 일부분)부산광역시 남구 대연동 1090-17 1층 일부분<NA>
5일반음식점랑맥(RANG MACC)부산광역시 남구 수영로334번길 5 (대연동)부산광역시 남구 대연동 39-21<NA>
6일반음식점우암식당<NA>부산광역시 남구 우암동 189<NA>
7일반음식점옥이집<NA>부산광역시 남구 용당동 193<NA>
8일반음식점우암집<NA>부산광역시 남구 우암동 189<NA>
9일반음식점돼지집<NA>부산광역시 남구 우암동 155<NA>
업종명업소명소재지(도로명)소재지(지번)소재지전화
3678휴게음식점미니스톱 대연정원점부산광역시 남구 유엔평화로29번길 29, 1층 102호 (대연동, 정원힐타워)부산광역시 남구 대연동 875-8 정원힐타워<NA>
3679휴게음식점카페더블유(cafe W)부산광역시 남구 황령대로492번길 24, 세영빌딩 2층 202호 (대연동)부산광역시 남구 대연동 18-1 세영빌딩<NA>
3680휴게음식점GS25부경삼광점부산광역시 남구 용소로64번길 3, 1층 (대연동)부산광역시 남구 대연동 561-2 금산빌딩051-628-9790
3681휴게음식점제이드 PC부산광역시 남구 용소로13번길 17, 2층 (대연동)부산광역시 남구 대연동 56-3051-623-3411
3682휴게음식점(주)에스에이엠 감만판테라점부산광역시 남구 무민사로 13, 지하1층 102호 (감만동, 판테라오피스텔)부산광역시 남구 감만동 500-2 판테라오피스텔051-464-8301
3683제과점영업자연드림 용호점부산광역시 남구 신선로 566, 401동 147-6호 (용호동, GS하이츠자이아파트)부산광역시 남구 용호동 197 GS하이츠자이아파트 401동 147-6호051-621-6251
3684제과점영업브레드(bread)365부산광역시 남구 못골로41번길 13, 205동 1층 101호 (대연동, 대연2차동원로얄듀크)부산광역시 남구 대연동 1272-2 대연2차동원로얄듀크051-711-1951
3685제과점영업파리바게뜨 용호더블유부산광역시 남구 분포로 145, 더블유스퀘어동 1층 1022,1023호 (용호동, 더블유)부산광역시 남구 용호동 954 더블유<NA>
3686제과점영업만나꽈배기부산광역시 남구 석포로 105, 1층 (대연동)부산광역시 남구 대연동 1136-17<NA>
3687제과점영업옵스 더블유스퀘어점부산광역시 남구 분포로 145, 더블유스퀘어동 2층 2022호 (용호동, 더블유)부산광역시 남구 용호동 954 더블유051-741-1278

Duplicate rows

Most frequently occurring

업종명업소명소재지(도로명)소재지(지번)소재지전화# duplicates
0일반음식점10다리부산광역시 남구 지게골로 16 (문현동)부산광역시 남구 문현동 863-3<NA>2
1일반음식점7080아지트부산광역시 남구 석포로 28 (감만동)부산광역시 남구 감만동 15-5<NA>2
2일반음식점87식당부산광역시 남구 지게골로 6 (문현동)부산광역시 남구 문현동 859-2<NA>2
3일반음식점TOP라이브부산광역시 남구 천제등로 8 (대연동)부산광역시 남구 대연동 1765-3<NA>2
4일반음식점가야포차 선지국밥부산광역시 남구 고동골로 20 (문현동)부산광역시 남구 문현동 202-56051-644-21382
5일반음식점가이아부산광역시 남구 용소로7번길 21 (대연동)부산광역시 남구 대연동 55-11051-621-06862
6일반음식점감만점 굽네치킨부산광역시 남구 우암로79번길 1 (감만동)부산광역시 남구 감만동 89-13051-642-72292
7일반음식점강가네 우돈가부산광역시 남구 동명로132번길 13 (용호동)부산광역시 남구 용호동 395-260051-627-37222
8일반음식점강가네손만두동명대점부산광역시 남구 유엔평화로 168 (용당동)부산광역시 남구 용당동 482-1<NA>2
9일반음식점강남돼지부산광역시 남구 유엔평화로10번길 3 (대연동)부산광역시 남구 대연동 1748-4051-612-14122