Overview

Dataset statistics

Number of variables5
Number of observations1954
Missing cells793
Missing cells (%)8.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory76.5 KiB
Average record size in memory40.1 B

Variable types

Categorical1
Text4

Dataset

Description부산광역시_동구_음식점현황_20221017
Author부산광역시 동구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3057419

Alerts

소재지(도로명) has 74 (3.8%) missing valuesMissing
소재지전화 has 719 (36.8%) missing valuesMissing

Reproduction

Analysis started2023-12-10 15:59:29.694244
Analysis finished2023-12-10 15:59:31.368745
Duration1.67 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
일반음식점
1537 
휴게음식점
417 

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 1537
78.7%
휴게음식점 417
 
21.3%

Length

2023-12-11T00:59:31.437084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T00:59:31.540236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 1537
78.7%
휴게음식점 417
 
21.3%

업소명
Text

Distinct1883
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
2023-12-11T00:59:31.805346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length5.8715455
Min length1

Characters and Unicode

Total characters11473
Distinct characters737
Distinct categories10 ?
Distinct scripts5 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1823 ?
Unique (%)93.3%

Sample

1st row776
2nd row(재)케이티그룹희망나눔재단부산
3rd row(주)늘즐거운세상조선화로집범일점
4th row(주)부산랑만
5th row(주)정진홈푸드부산항국제여객터미널점
ValueCountFrequency (%)
진주식당 5
 
0.3%
청도식당 4
 
0.2%
골목집 3
 
0.2%
양지아구찜 3
 
0.2%
제일반점 3
 
0.2%
이디야 3
 
0.2%
남원추어탕 3
 
0.2%
옛날통닭 3
 
0.2%
남포동수제비 2
 
0.1%
나베야 2
 
0.1%
Other values (1873) 1923
98.4%
2023-12-11T00:59:32.328520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 369
 
3.2%
식 244
 
2.1%
부 226
 
2.0%
산 226
 
2.0%
이 219
 
1.9%
당 201
 
1.8%
스 177
 
1.5%
수 145
 
1.3%
일 142
 
1.2%
리 137
 
1.2%
Other values (727) 9387
81.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10396
90.6%
Uppercase Letter 293
 
2.6%
Lowercase Letter 275
 
2.4%
Decimal Number 212
 
1.8%
Open Punctuation 130
 
1.1%
Close Punctuation 130
 
1.1%
Other Punctuation 33
 
0.3%
Letter Number 2
 
< 0.1%
Math Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 369
 
3.5%
식 244
 
2.3%
부 226
 
2.2%
산 226
 
2.2%
이 219
 
2.1%
당 201
 
1.9%
스 177
 
1.7%
수 145
 
1.4%
일 142
 
1.4%
리 137
 
1.3%
Other values (657) 8310
79.9%
Uppercase Letter
ValueCountFrequency (%)
C 32
 
10.9%
A 27
 
9.2%
S 25
 
8.5%
B 22
 
7.5%
G 21
 
7.2%
O 19
 
6.5%
E 16
 
5.5%
T 15
 
5.1%
L 14
 
4.8%
U 11
 
3.8%
Other values (15) 91
31.1%
Lowercase Letter
ValueCountFrequency (%)
e 45
16.4%
o 32
11.6%
i 23
 
8.4%
a 21
 
7.6%
f 21
 
7.6%
n 16
 
5.8%
c 15
 
5.5%
r 15
 
5.5%
t 13
 
4.7%
l 12
 
4.4%
Other values (12) 62
22.5%
Decimal Number
ValueCountFrequency (%)
2 43
20.3%
1 37
17.5%
5 30
14.2%
8 24
11.3%
0 21
9.9%
4 17
 
8.0%
7 12
 
5.7%
6 11
 
5.2%
3 11
 
5.2%
9 6
 
2.8%
Other Punctuation
ValueCountFrequency (%)
& 16
48.5%
. 8
24.2%
, 5
 
15.2%
' 1
 
3.0%
# 1
 
3.0%
: 1
 
3.0%
/ 1
 
3.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 130
100.0%
Close Punctuation
ValueCountFrequency (%)
) 130
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10387
90.5%
Latin 570
 
5.0%
Common 507
 
4.4%
Han 7
 
0.1%
Hiragana 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 369
 
3.6%
식 244
 
2.3%
부 226
 
2.2%
산 226
 
2.2%
이 219
 
2.1%
당 201
 
1.9%
스 177
 
1.7%
수 145
 
1.4%
일 142
 
1.4%
리 137
 
1.3%
Other values (648) 8301
79.9%
Latin
ValueCountFrequency (%)
e 45
 
7.9%
o 32
 
5.6%
C 32
 
5.6%
A 27
 
4.7%
S 25
 
4.4%
i 23
 
4.0%
B 22
 
3.9%
a 21
 
3.7%
G 21
 
3.7%
f 21
 
3.7%
Other values (39) 301
52.8%
Common
ValueCountFrequency (%)
( 130
25.6%
) 130
25.6%
2 43
 
8.5%
1 37
 
7.3%
5 30
 
5.9%
8 24
 
4.7%
0 21
 
4.1%
4 17
 
3.4%
& 16
 
3.2%
7 12
 
2.4%
Other values (11) 47
 
9.3%
Han
ValueCountFrequency (%)
間 1
14.3%
空 1
14.3%
人 1
14.3%
鮮 1
14.3%
愛 1
14.3%
奎 1
14.3%
潾 1
14.3%
Hiragana
ValueCountFrequency (%)
ん 1
50.0%
せ 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10387
90.5%
ASCII 1075
 
9.4%
CJK 7
 
0.1%
Hiragana 2
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 369
 
3.6%
식 244
 
2.3%
부 226
 
2.2%
산 226
 
2.2%
이 219
 
2.1%
당 201
 
1.9%
스 177
 
1.7%
수 145
 
1.4%
일 142
 
1.4%
리 137
 
1.3%
Other values (648) 8301
79.9%
ASCII
ValueCountFrequency (%)
( 130
 
12.1%
) 130
 
12.1%
e 45
 
4.2%
2 43
 
4.0%
1 37
 
3.4%
o 32
 
3.0%
C 32
 
3.0%
5 30
 
2.8%
A 27
 
2.5%
S 25
 
2.3%
Other values (58) 544
50.6%
CJK
ValueCountFrequency (%)
間 1
14.3%
空 1
14.3%
人 1
14.3%
鮮 1
14.3%
愛 1
14.3%
奎 1
14.3%
潾 1
14.3%
Hiragana
ValueCountFrequency (%)
ん 1
50.0%
せ 1
50.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%

소재지(도로명)
Text

MISSING 

Distinct1637
Distinct (%)87.1%
Missing74
Missing (%)3.8%
Memory size15.4 KiB
2023-12-11T00:59:32.783995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length48
Mean length23.639894
Min length16

Characters and Unicode

Total characters44443
Distinct characters245
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1471 ?
Unique (%)78.2%

Sample

1st row부산광역시동구조방로49번길12-1(범일동)
2nd row부산광역시동구자성공원로23(범일동)
3rd row부산광역시동구조방로19,1층(범일동)
4th row부산광역시동구범일로125,현대백화점부산점9층(범일동)
5th row부산광역시동구충장대로206,3층(초량동,부산항국제여객터미널)
ValueCountFrequency (%)
부산광역시동구범일로125,현대백화점부산점지하2층(범일동 16
 
0.9%
부산광역시동구고관로106(수정동 7
 
0.4%
부산광역시동구중앙대로206(초량동 7
 
0.4%
부산광역시동구진시장로13(범일동 7
 
0.4%
부산광역시동구조방로49번길13(범일동 6
 
0.3%
부산광역시동구조방로48(범일동 5
 
0.3%
부산광역시동구중앙대로206(초량동,(3층 4
 
0.2%
부산광역시동구진성로9번길42(수정동 4
 
0.2%
부산광역시동구조방로26번길17(범일동 4
 
0.2%
부산광역시동구진성로9번길21(수정동 4
 
0.2%
Other values (1627) 1816
96.6%
2023-12-11T00:59:33.492724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 3881
 
8.7%
1 2429
 
5.5%
부 1988
 
4.5%
산 1970
 
4.4%
) 1944
 
4.4%
( 1943
 
4.4%
시 1923
 
4.3%
역 1911
 
4.3%
구 1894
 
4.3%
광 1883
 
4.2%
Other values (235) 22677
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30122
67.8%
Decimal Number 8567
 
19.3%
Close Punctuation 1944
 
4.4%
Open Punctuation 1943
 
4.4%
Other Punctuation 1166
 
2.6%
Dash Punctuation 642
 
1.4%
Uppercase Letter 40
 
0.1%
Math Symbol 16
 
< 0.1%
Lowercase Letter 2
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3881
 
12.9%
부 1988
 
6.6%
산 1970
 
6.5%
시 1923
 
6.4%
역 1911
 
6.3%
구 1894
 
6.3%
광 1883
 
6.3%
로 1850
 
6.1%
초 1063
 
3.5%
량 1054
 
3.5%
Other values (207) 10705
35.5%
Decimal Number
ValueCountFrequency (%)
1 2429
28.4%
2 1368
16.0%
3 957
 
11.2%
4 659
 
7.7%
9 616
 
7.2%
0 616
 
7.2%
6 548
 
6.4%
5 478
 
5.6%
7 456
 
5.3%
8 440
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
B 20
50.0%
A 11
27.5%
G 4
 
10.0%
L 2
 
5.0%
I 1
 
2.5%
D 1
 
2.5%
P 1
 
2.5%
Other Punctuation
ValueCountFrequency (%)
, 1155
99.1%
· 5
 
0.4%
/ 3
 
0.3%
. 2
 
0.2%
' 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1944
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1943
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 642
100.0%
Math Symbol
ValueCountFrequency (%)
~ 16
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30122
67.8%
Common 14278
32.1%
Latin 43
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3881
 
12.9%
부 1988
 
6.6%
산 1970
 
6.5%
시 1923
 
6.4%
역 1911
 
6.3%
구 1894
 
6.3%
광 1883
 
6.3%
로 1850
 
6.1%
초 1063
 
3.5%
량 1054
 
3.5%
Other values (207) 10705
35.5%
Common
ValueCountFrequency (%)
1 2429
17.0%
) 1944
13.6%
( 1943
13.6%
2 1368
9.6%
, 1155
8.1%
3 957
 
6.7%
4 659
 
4.6%
- 642
 
4.5%
9 616
 
4.3%
0 616
 
4.3%
Other values (9) 1949
13.7%
Latin
ValueCountFrequency (%)
B 20
46.5%
A 11
25.6%
G 4
 
9.3%
e 2
 
4.7%
L 2
 
4.7%
I 1
 
2.3%
Ⅱ 1
 
2.3%
D 1
 
2.3%
P 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30122
67.8%
ASCII 14315
32.2%
None 5
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 3881
 
12.9%
부 1988
 
6.6%
산 1970
 
6.5%
시 1923
 
6.4%
역 1911
 
6.3%
구 1894
 
6.3%
광 1883
 
6.3%
로 1850
 
6.1%
초 1063
 
3.5%
량 1054
 
3.5%
Other values (207) 10705
35.5%
ASCII
ValueCountFrequency (%)
1 2429
17.0%
) 1944
13.6%
( 1943
13.6%
2 1368
9.6%
, 1155
8.1%
3 957
 
6.7%
4 659
 
4.6%
- 642
 
4.5%
9 616
 
4.3%
0 616
 
4.3%
Other values (16) 1986
13.9%
None
ValueCountFrequency (%)
· 5
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지(지번)
Text

Distinct1570
Distinct (%)80.3%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
2023-12-11T00:59:34.054677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length44
Mean length17.607472
Min length9

Characters and Unicode

Total characters34405
Distinct characters236
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1331 ?
Unique (%)68.1%

Sample

1st row부산광역시동구범일동833-16
2nd row부산광역시동구범일동830-29
3rd row부산광역시동구범일동830-276
4th row부산광역시동구범일동62-5현대백화점부산점
5th row부산광역시동구초량동45-39부산항국제여객터미널3층
ValueCountFrequency (%)
부산광역시동구범일동62-5현대백화점부산점 21
 
1.1%
부산광역시동구범일동830-140동일타워 12
 
0.6%
부산광역시동구범일동830-140 10
 
0.5%
부산광역시동구범일동62-5 10
 
0.5%
부산광역시동구수정동170-1 7
 
0.4%
부산광역시동구초량동45-39 7
 
0.4%
부산광역시동구초량동1187-1 7
 
0.4%
부산광역시동구범일동644-10 7
 
0.4%
부산광역시동구범일동830-46 6
 
0.3%
부산광역시동구범일동830-62범일동삼정그린코아더시티 6
 
0.3%
Other values (1560) 1861
95.2%
2023-12-11T00:59:34.811494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 3958
 
11.5%
1 2376
 
6.9%
부 2083
 
6.1%
산 2028
 
5.9%
- 2019
 
5.9%
역 1980
 
5.8%
시 1971
 
5.7%
구 1955
 
5.7%
광 1952
 
5.7%
2 1385
 
4.0%
Other values (226) 12698
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21609
62.8%
Decimal Number 10356
30.1%
Dash Punctuation 2019
 
5.9%
Other Punctuation 206
 
0.6%
Close Punctuation 67
 
0.2%
Open Punctuation 67
 
0.2%
Uppercase Letter 65
 
0.2%
Math Symbol 13
 
< 0.1%
Lowercase Letter 2
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3958
18.3%
부 2083
9.6%
산 2028
9.4%
역 1980
9.2%
시 1971
9.1%
구 1955
9.0%
광 1952
9.0%
량 823
 
3.8%
초 823
 
3.8%
일 693
 
3.2%
Other values (191) 3343
15.5%
Uppercase Letter
ValueCountFrequency (%)
B 13
20.0%
E 10
15.4%
A 9
13.8%
L 7
10.8%
P 7
10.8%
C 5
 
7.7%
R 5
 
7.7%
G 4
 
6.2%
I 2
 
3.1%
V 1
 
1.5%
Other values (2) 2
 
3.1%
Decimal Number
ValueCountFrequency (%)
1 2376
22.9%
2 1385
13.4%
3 1114
10.8%
0 1026
9.9%
8 868
 
8.4%
4 853
 
8.2%
5 747
 
7.2%
6 744
 
7.2%
7 687
 
6.6%
9 556
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 196
95.1%
· 5
 
2.4%
/ 3
 
1.5%
. 1
 
0.5%
' 1
 
0.5%
Math Symbol
ValueCountFrequency (%)
> 5
38.5%
< 5
38.5%
~ 3
23.1%
Dash Punctuation
ValueCountFrequency (%)
- 2019
100.0%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21609
62.8%
Common 12728
37.0%
Latin 68
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3958
18.3%
부 2083
9.6%
산 2028
9.4%
역 1980
9.2%
시 1971
9.1%
구 1955
9.0%
광 1952
9.0%
량 823
 
3.8%
초 823
 
3.8%
일 693
 
3.2%
Other values (191) 3343
15.5%
Common
ValueCountFrequency (%)
1 2376
18.7%
- 2019
15.9%
2 1385
10.9%
3 1114
8.8%
0 1026
8.1%
8 868
 
6.8%
4 853
 
6.7%
5 747
 
5.9%
6 744
 
5.8%
7 687
 
5.4%
Other values (11) 909
 
7.1%
Latin
ValueCountFrequency (%)
B 13
19.1%
E 10
14.7%
A 9
13.2%
L 7
10.3%
P 7
10.3%
C 5
 
7.4%
R 5
 
7.4%
G 4
 
5.9%
I 2
 
2.9%
e 2
 
2.9%
Other values (4) 4
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21609
62.8%
ASCII 12790
37.2%
None 5
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 3958
18.3%
부 2083
9.6%
산 2028
9.4%
역 1980
9.2%
시 1971
9.1%
구 1955
9.0%
광 1952
9.0%
량 823
 
3.8%
초 823
 
3.8%
일 693
 
3.2%
Other values (191) 3343
15.5%
ASCII
ValueCountFrequency (%)
1 2376
18.6%
- 2019
15.8%
2 1385
10.8%
3 1114
8.7%
0 1026
8.0%
8 868
 
6.8%
4 853
 
6.7%
5 747
 
5.8%
6 744
 
5.8%
7 687
 
5.4%
Other values (23) 971
7.6%
None
ValueCountFrequency (%)
· 5
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지전화
Text

MISSING 

Distinct1194
Distinct (%)96.7%
Missing719
Missing (%)36.8%
Memory size15.4 KiB
2023-12-11T00:59:35.193090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.02753
Min length11

Characters and Unicode

Total characters14854
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

Unique1163 ?
Unique (%)94.2%

Sample

1st row051-638-7000
2nd row051-632-6032
3rd row051-465-7225
4th row051-714-2619
5th row051-466-1984
ValueCountFrequency (%)
051-463-4071 7
 
0.6%
070-7092-7130 5
 
0.4%
070-7092-7137 3
 
0.2%
051-441-5459 3
 
0.2%
051-635-0700 2
 
0.2%
051-462-8877 2
 
0.2%
051-442-6620 2
 
0.2%
051-464-0111 2
 
0.2%
051-466-2100 2
 
0.2%
051-442-1117 2
 
0.2%
Other values (1184) 1205
97.6%
2023-12-11T00:59:35.817543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2470
16.6%
0 1966
13.2%
1 1861
12.5%
5 1857
12.5%
6 1569
10.6%
4 1517
10.2%
3 874
 
5.9%
7 763
 
5.1%
2 737
 
5.0%
8 657
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12384
83.4%
Dash Punctuation 2470
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1966
15.9%
1 1861
15.0%
5 1857
15.0%
6 1569
12.7%
4 1517
12.2%
3 874
7.1%
7 763
 
6.2%
2 737
 
6.0%
8 657
 
5.3%
9 583
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 2470
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14854
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2470
16.6%
0 1966
13.2%
1 1861
12.5%
5 1857
12.5%
6 1569
10.6%
4 1517
10.2%
3 874
 
5.9%
7 763
 
5.1%
2 737
 
5.0%
8 657
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14854
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2470
16.6%
0 1966
13.2%
1 1861
12.5%
5 1857
12.5%
6 1569
10.6%
4 1517
10.2%
3 874
 
5.9%
7 763
 
5.1%
2 737
 
5.0%
8 657
 
4.4%

Missing values

2023-12-11T00:59:30.996844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T00:59:31.191446image/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.
2023-12-11T00:59:31.316375image/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
0일반음식점776부산광역시동구조방로49번길12-1(범일동)부산광역시동구범일동833-16<NA>
1일반음식점(재)케이티그룹희망나눔재단부산부산광역시동구자성공원로23(범일동)부산광역시동구범일동830-29051-638-7000
2일반음식점(주)늘즐거운세상조선화로집범일점부산광역시동구조방로19,1층(범일동)부산광역시동구범일동830-276051-632-6032
3일반음식점(주)부산랑만부산광역시동구범일로125,현대백화점부산점9층(범일동)부산광역시동구범일동62-5현대백화점부산점<NA>
4일반음식점(주)정진홈푸드부산항국제여객터미널점부산광역시동구충장대로206,3층(초량동,부산항국제여객터미널)부산광역시동구초량동45-39부산항국제여객터미널3층051-465-7225
5일반음식점(주)한솥도시락부산역앞점부산광역시동구중앙대로197(초량동,1층일부)부산광역시동구초량동1208-18<NA>
6일반음식점(주)현대그린푸드지마린서비스부산광역시동구중앙대로336(초량동)부산광역시동구초량동1151-6<NA>
7일반음식점153구포국수부산광역시동구중앙대로381,B동지상1층(수정동)부산광역시동구수정동1-110B동<NA>
8일반음식점168도시락국부산광역시동구영초길191(초량동,1층)부산광역시동구초량동994-130051-714-2619
9일반음식점1984나폴리부산진역점부산광역시동구고관로90,베스안하우스3층301호(수정동)부산광역시동구수정동116-4301호051-466-1984
업종명업소명소재지(도로명)소재지(지번)소재지전화
1944휴게음식점해리스카페일신병원부산광역시동구정공단로34(좌천동)부산광역시동구좌천동432<NA>
1945휴게음식점해피데이부산광역시동구중앙대로361번길14(수정동,,지하1층일부)부산광역시동구수정동3,지하1층일부051-441-0067
1946휴게음식점향유(이수아우리옷)부산광역시동구진시장로19-5,4층(범일동)부산광역시동구범일동652-9051-633-8530
1947휴게음식점헬로우빈부산광역시동구자성로110,백송빌딩1~2층(범일동)부산광역시동구범일동547-17백송빌딩<NA>
1948휴게음식점호랑이쥬스부산광역시동구중앙대로251번길24,1층(초량동)부산광역시동구초량동49-7<NA>
1949휴게음식점호연만두부산광역시동구초량로13번길8(초량동)부산광역시동구초량동200-2051-463-5508
1950휴게음식점호텔그레이511더치커피점부산광역시동구중앙대로286번길3-2(초량동)부산광역시동구초량동1162-35051-462-7761
1951휴게음식점홍헤원부산광역시동구범일로78,1층(범일동)부산광역시동구범일동612-17051-633-1600
1952휴게음식점환공어묵부산광역시동구중앙대로206(초량동)부산광역시동구초량동1187-1051-441-5765
1953휴게음식점히엘부산광역시동구중앙대로236번길3-10,1층(초량동)부산광역시동구초량동1194-31층<NA>