Overview

Dataset statistics

Number of variables5
Number of observations4317
Missing cells2318
Missing cells (%)10.7%
Duplicate rows329
Duplicate rows (%)7.6%
Total size in memory168.8 KiB
Average record size in memory40.0 B

Variable types

Categorical1
Text4

Dataset

Description부산광역시_금정구_식품접객업현황_20230913
Author부산광역시 금정구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15025827

Alerts

Dataset has 329 (7.6%) duplicate rowsDuplicates
업종명 is highly imbalanced (57.8%)Imbalance
소재지전화 has 2274 (52.7%) missing valuesMissing

Reproduction

Analysis started2023-12-10 17:04:54.854961
Analysis finished2023-12-10 17:04:56.791797
Duration1.94 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.9 KiB
일반음식점
3286 
휴게음식점
785 
단란주점
 
85
제과점영업
 
69
유흥주점영업
 
64

Length

Max length6
Median length5
Mean length5.0016215
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 3286
76.1%
휴게음식점 785
 
18.2%
단란주점 85
 
2.0%
제과점영업 69
 
1.6%
유흥주점영업 64
 
1.5%
위탁급식영업 28
 
0.6%

Length

2023-12-11T02:04:56.931057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:04:57.158144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 3286
76.1%
휴게음식점 785
 
18.2%
단란주점 85
 
2.0%
제과점영업 69
 
1.6%
유흥주점영업 64
 
1.5%
위탁급식영업 28
 
0.6%

업소명
Text

Distinct3872
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size33.9 KiB
2023-12-11T02:04:57.650378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length30
Mean length6.6435024
Min length1

Characters and Unicode

Total characters28680
Distinct characters917
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3466 ?
Unique (%)80.3%

Sample

1st row내꿈은 미스코리아 였다
2nd row동래골프장식당
3rd row부산컨트리구내식당
4th row밀양집
5th row풍년집
ValueCountFrequency (%)
부산대점 159
 
2.8%
구서점 55
 
1.0%
남산점 35
 
0.6%
세븐일레븐 28
 
0.5%
서동점 27
 
0.5%
부곡점 26
 
0.5%
장전점 24
 
0.4%
금정점 19
 
0.3%
카페 18
 
0.3%
씨유 17
 
0.3%
Other values (4254) 5358
92.9%
2023-12-11T02:04:58.511091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1450
 
5.1%
점 1032
 
3.6%
산 643
 
2.2%
부 575
 
2.0%
이 526
 
1.8%
대 475
 
1.7%
스 433
 
1.5%
) 396
 
1.4%
( 392
 
1.4%
리 351
 
1.2%
Other values (907) 22407
78.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24007
83.7%
Space Separator 1450
 
5.1%
Lowercase Letter 915
 
3.2%
Uppercase Letter 858
 
3.0%
Decimal Number 532
 
1.9%
Close Punctuation 397
 
1.4%
Open Punctuation 393
 
1.4%
Other Punctuation 114
 
0.4%
Dash Punctuation 10
 
< 0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1032
 
4.3%
산 643
 
2.7%
부 575
 
2.4%
이 526
 
2.2%
대 475
 
2.0%
스 433
 
1.8%
리 351
 
1.5%
식 324
 
1.3%
장 302
 
1.3%
구 300
 
1.2%
Other values (828) 19046
79.3%
Uppercase Letter
ValueCountFrequency (%)
C 95
 
11.1%
S 88
 
10.3%
E 64
 
7.5%
G 55
 
6.4%
P 52
 
6.1%
O 48
 
5.6%
B 48
 
5.6%
A 47
 
5.5%
T 44
 
5.1%
H 41
 
4.8%
Other values (16) 276
32.2%
Lowercase Letter
ValueCountFrequency (%)
e 149
16.3%
a 93
 
10.2%
o 86
 
9.4%
i 58
 
6.3%
f 49
 
5.4%
c 48
 
5.2%
n 48
 
5.2%
s 46
 
5.0%
l 44
 
4.8%
r 44
 
4.8%
Other values (15) 250
27.3%
Decimal Number
ValueCountFrequency (%)
2 123
23.1%
1 93
17.5%
5 81
15.2%
0 66
12.4%
3 43
 
8.1%
7 32
 
6.0%
4 26
 
4.9%
9 25
 
4.7%
6 22
 
4.1%
8 21
 
3.9%
Other Punctuation
ValueCountFrequency (%)
& 55
48.2%
. 18
 
15.8%
, 15
 
13.2%
' 14
 
12.3%
? 4
 
3.5%
! 3
 
2.6%
# 2
 
1.8%
: 1
 
0.9%
; 1
 
0.9%
· 1
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 396
99.7%
] 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 392
99.7%
[ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
1450
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23976
83.6%
Common 2898
 
10.1%
Latin 1775
 
6.2%
Han 31
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1032
 
4.3%
산 643
 
2.7%
부 575
 
2.4%
이 526
 
2.2%
대 475
 
2.0%
스 433
 
1.8%
리 351
 
1.5%
식 324
 
1.4%
장 302
 
1.3%
구 300
 
1.3%
Other values (808) 19015
79.3%
Latin
ValueCountFrequency (%)
e 149
 
8.4%
C 95
 
5.4%
a 93
 
5.2%
S 88
 
5.0%
o 86
 
4.8%
E 64
 
3.6%
i 58
 
3.3%
G 55
 
3.1%
P 52
 
2.9%
f 49
 
2.8%
Other values (42) 986
55.5%
Common
ValueCountFrequency (%)
1450
50.0%
) 396
 
13.7%
( 392
 
13.5%
2 123
 
4.2%
1 93
 
3.2%
5 81
 
2.8%
0 66
 
2.3%
& 55
 
1.9%
3 43
 
1.5%
7 32
 
1.1%
Other values (17) 167
 
5.8%
Han
ValueCountFrequency (%)
家 7
22.6%
魚 3
 
9.7%
愛 3
 
9.7%
食 2
 
6.5%
然 1
 
3.2%
生 1
 
3.2%
李 1
 
3.2%
月 1
 
3.2%
友 1
 
3.2%
上 1
 
3.2%
Other values (10) 10
32.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23976
83.6%
ASCII 4670
 
16.3%
CJK 31
 
0.1%
Number Forms 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1450
31.0%
) 396
 
8.5%
( 392
 
8.4%
e 149
 
3.2%
2 123
 
2.6%
C 95
 
2.0%
a 93
 
2.0%
1 93
 
2.0%
S 88
 
1.9%
o 86
 
1.8%
Other values (67) 1705
36.5%
Hangul
ValueCountFrequency (%)
점 1032
 
4.3%
산 643
 
2.7%
부 575
 
2.4%
이 526
 
2.2%
대 475
 
2.0%
스 433
 
1.8%
리 351
 
1.5%
식 324
 
1.4%
장 302
 
1.3%
구 300
 
1.3%
Other values (808) 19015
79.3%
CJK
ValueCountFrequency (%)
家 7
22.6%
魚 3
 
9.7%
愛 3
 
9.7%
食 2
 
6.5%
然 1
 
3.2%
生 1
 
3.2%
李 1
 
3.2%
月 1
 
3.2%
友 1
 
3.2%
上 1
 
3.2%
Other values (10) 10
32.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

소재지(도로명)
Text

Distinct3443
Distinct (%)80.5%
Missing41
Missing (%)0.9%
Memory size33.9 KiB
2023-12-11T02:04:59.153372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length51
Mean length28.390786
Min length20

Characters and Unicode

Total characters121399
Distinct characters339
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2849 ?
Unique (%)66.6%

Sample

1st row부산광역시 금정구 장전로 47-1 (장전동)
2nd row부산광역시 금정구 하정로 66 (선동, 외 6필지)
3rd row부산광역시 금정구 중앙대로2327번길 112 (노포동)
4th row부산광역시 금정구 공해2길 14 (금성동)
5th row부산광역시 금정구 공해2길 38 (금성동)
ValueCountFrequency (%)
부산광역시 4276
17.6%
금정구 4276
17.6%
장전동 1449
 
6.0%
1층 1291
 
5.3%
구서동 678
 
2.8%
부곡동 652
 
2.7%
서동 547
 
2.3%
남산동 514
 
2.1%
금강로 457
 
1.9%
2층 223
 
0.9%
Other values (1885) 9869
40.7%
2023-12-11T02:05:00.172843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19957
 
16.4%
금 5832
 
4.8%
부 5765
 
4.7%
산 5414
 
4.5%
1 5097
 
4.2%
구 5095
 
4.2%
동 4981
 
4.1%
정 4696
 
3.9%
시 4409
 
3.6%
역 4295
 
3.5%
Other values (329) 55858
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71017
58.5%
Space Separator 19957
 
16.4%
Decimal Number 18533
 
15.3%
Open Punctuation 4295
 
3.5%
Close Punctuation 4293
 
3.5%
Other Punctuation 2344
 
1.9%
Dash Punctuation 848
 
0.7%
Uppercase Letter 86
 
0.1%
Math Symbol 23
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 5832
 
8.2%
부 5765
 
8.1%
산 5414
 
7.6%
구 5095
 
7.2%
동 4981
 
7.0%
정 4696
 
6.6%
시 4409
 
6.2%
역 4295
 
6.0%
광 4279
 
6.0%
로 4223
 
5.9%
Other values (291) 22028
31.0%
Uppercase Letter
ValueCountFrequency (%)
B 24
27.9%
A 14
16.3%
N 12
14.0%
C 12
14.0%
D 6
 
7.0%
E 4
 
4.7%
F 3
 
3.5%
G 3
 
3.5%
Z 2
 
2.3%
H 1
 
1.2%
Other values (5) 5
 
5.8%
Decimal Number
ValueCountFrequency (%)
1 5097
27.5%
2 2611
14.1%
3 1781
 
9.6%
5 1534
 
8.3%
4 1493
 
8.1%
6 1411
 
7.6%
0 1301
 
7.0%
7 1230
 
6.6%
9 1105
 
6.0%
8 970
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 2342
99.9%
. 1
 
< 0.1%
* 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 4294
> 99.9%
[ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 4292
> 99.9%
] 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
s 1
50.0%
k 1
50.0%
Space Separator
ValueCountFrequency (%)
19957
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 848
100.0%
Math Symbol
ValueCountFrequency (%)
~ 23
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71017
58.5%
Common 50293
41.4%
Latin 89
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 5832
 
8.2%
부 5765
 
8.1%
산 5414
 
7.6%
구 5095
 
7.2%
동 4981
 
7.0%
정 4696
 
6.6%
시 4409
 
6.2%
역 4295
 
6.0%
광 4279
 
6.0%
로 4223
 
5.9%
Other values (291) 22028
31.0%
Common
ValueCountFrequency (%)
19957
39.7%
1 5097
 
10.1%
( 4294
 
8.5%
) 4292
 
8.5%
2 2611
 
5.2%
, 2342
 
4.7%
3 1781
 
3.5%
5 1534
 
3.1%
4 1493
 
3.0%
6 1411
 
2.8%
Other values (10) 5481
 
10.9%
Latin
ValueCountFrequency (%)
B 24
27.0%
A 14
15.7%
N 12
13.5%
C 12
13.5%
D 6
 
6.7%
E 4
 
4.5%
F 3
 
3.4%
G 3
 
3.4%
Z 2
 
2.2%
Ⅰ 1
 
1.1%
Other values (8) 8
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71017
58.5%
ASCII 50381
41.5%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19957
39.6%
1 5097
 
10.1%
( 4294
 
8.5%
) 4292
 
8.5%
2 2611
 
5.2%
, 2342
 
4.6%
3 1781
 
3.5%
5 1534
 
3.0%
4 1493
 
3.0%
6 1411
 
2.8%
Other values (27) 5569
 
11.1%
Hangul
ValueCountFrequency (%)
금 5832
 
8.2%
부 5765
 
8.1%
산 5414
 
7.6%
구 5095
 
7.2%
동 4981
 
7.0%
정 4696
 
6.6%
시 4409
 
6.2%
역 4295
 
6.0%
광 4279
 
6.0%
로 4223
 
5.9%
Other values (291) 22028
31.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

소재지(지번)
Text

Distinct2927
Distinct (%)67.8%
Missing3
Missing (%)0.1%
Memory size33.9 KiB
2023-12-11T02:05:00.869548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length42
Mean length21.222763
Min length16

Characters and Unicode

Total characters91555
Distinct characters311
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

Unique2070 ?
Unique (%)48.0%

Sample

1st row부산광역시 금정구 장전동 360-15
2nd row부산광역시 금정구 선동 834-1 외6필지
3rd row부산광역시 금정구 노포동 368
4th row부산광역시 금정구 금성동 886
5th row부산광역시 금정구 금성동 981
ValueCountFrequency (%)
부산광역시 4314
24.0%
금정구 4314
24.0%
장전동 1460
 
8.1%
구서동 690
 
3.8%
부곡동 658
 
3.7%
서동 549
 
3.1%
남산동 521
 
2.9%
청룡동 133
 
0.7%
금사동 122
 
0.7%
금성동 95
 
0.5%
Other values (3049) 5126
28.5%
2023-12-11T02:05:01.907331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17950
19.6%
부 5048
 
5.5%
구 5048
 
5.5%
산 4926
 
5.4%
금 4578
 
5.0%
동 4421
 
4.8%
정 4371
 
4.8%
시 4357
 
4.8%
역 4331
 
4.7%
광 4317
 
4.7%
Other values (301) 32208
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 49928
54.5%
Decimal Number 19487
 
21.3%
Space Separator 17950
 
19.6%
Dash Punctuation 4081
 
4.5%
Uppercase Letter 39
 
< 0.1%
Open Punctuation 28
 
< 0.1%
Close Punctuation 26
 
< 0.1%
Other Punctuation 13
 
< 0.1%
Lowercase Letter 2
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 5048
10.1%
구 5048
10.1%
산 4926
9.9%
금 4578
9.2%
동 4421
8.9%
정 4371
8.8%
시 4357
8.7%
역 4331
8.7%
광 4317
8.6%
장 1516
 
3.0%
Other values (263) 7015
14.1%
Uppercase Letter
ValueCountFrequency (%)
B 6
15.4%
A 4
10.3%
N 4
10.3%
F 3
 
7.7%
K 3
 
7.7%
C 3
 
7.7%
T 2
 
5.1%
E 2
 
5.1%
Z 2
 
5.1%
P 1
 
2.6%
Other values (9) 9
23.1%
Decimal Number
ValueCountFrequency (%)
1 3876
19.9%
2 3097
15.9%
4 2275
11.7%
3 2191
11.2%
0 1493
 
7.7%
5 1464
 
7.5%
9 1453
 
7.5%
6 1390
 
7.1%
8 1172
 
6.0%
7 1076
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 12
92.3%
@ 1
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
s 1
50.0%
k 1
50.0%
Space Separator
ValueCountFrequency (%)
17950
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4081
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 49928
54.5%
Common 41585
45.4%
Latin 42
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 5048
10.1%
구 5048
10.1%
산 4926
9.9%
금 4578
9.2%
동 4421
8.9%
정 4371
8.8%
시 4357
8.7%
역 4331
8.7%
광 4317
8.6%
장 1516
 
3.0%
Other values (263) 7015
14.1%
Latin
ValueCountFrequency (%)
B 6
14.3%
A 4
 
9.5%
N 4
 
9.5%
F 3
 
7.1%
K 3
 
7.1%
C 3
 
7.1%
T 2
 
4.8%
E 2
 
4.8%
Z 2
 
4.8%
P 1
 
2.4%
Other values (12) 12
28.6%
Common
ValueCountFrequency (%)
17950
43.2%
- 4081
 
9.8%
1 3876
 
9.3%
2 3097
 
7.4%
4 2275
 
5.5%
3 2191
 
5.3%
0 1493
 
3.6%
5 1464
 
3.5%
9 1453
 
3.5%
6 1390
 
3.3%
Other values (6) 2315
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 49928
54.5%
ASCII 41626
45.5%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17950
43.1%
- 4081
 
9.8%
1 3876
 
9.3%
2 3097
 
7.4%
4 2275
 
5.5%
3 2191
 
5.3%
0 1493
 
3.6%
5 1464
 
3.5%
9 1453
 
3.5%
6 1390
 
3.3%
Other values (27) 2356
 
5.7%
Hangul
ValueCountFrequency (%)
부 5048
10.1%
구 5048
10.1%
산 4926
9.9%
금 4578
9.2%
동 4421
8.9%
정 4371
8.8%
시 4357
8.7%
역 4331
8.7%
광 4317
8.6%
장 1516
 
3.0%
Other values (263) 7015
14.1%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

소재지전화
Text

MISSING 

Distinct1764
Distinct (%)86.3%
Missing2274
Missing (%)52.7%
Memory size33.9 KiB
2023-12-11T02:05:02.449515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.034753
Min length10

Characters and Unicode

Total characters24587
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

Unique1503 ?
Unique (%)73.6%

Sample

1st row051-580-0361
2nd row051-508-0782
3rd row051-517-1636
4th row051-517-1251
5th row051-517-1905
ValueCountFrequency (%)
02 9
 
0.4%
051-510-3748 7
 
0.3%
051-508-2163 5
 
0.2%
051-518-2166 3
 
0.1%
051-517-6870 3
 
0.1%
051-606-1054 3
 
0.1%
051-580-0360 3
 
0.1%
051-517-0586 3
 
0.1%
051-581-2939 3
 
0.1%
051-508-5081 3
 
0.1%
Other values (1758) 2015
98.0%
2023-12-11T02:05:03.213072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 4959
20.2%
- 4086
16.6%
1 3939
16.0%
0 3156
12.8%
8 1594
 
6.5%
2 1558
 
6.3%
3 1240
 
5.0%
7 1169
 
4.8%
9 1003
 
4.1%
4 938
 
3.8%
Other values (2) 945
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20486
83.3%
Dash Punctuation 4086
 
16.6%
Space Separator 15
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 4959
24.2%
1 3939
19.2%
0 3156
15.4%
8 1594
 
7.8%
2 1558
 
7.6%
3 1240
 
6.1%
7 1169
 
5.7%
9 1003
 
4.9%
4 938
 
4.6%
6 930
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 4086
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24587
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 4959
20.2%
- 4086
16.6%
1 3939
16.0%
0 3156
12.8%
8 1594
 
6.5%
2 1558
 
6.3%
3 1240
 
5.0%
7 1169
 
4.8%
9 1003
 
4.1%
4 938
 
3.8%
Other values (2) 945
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24587
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 4959
20.2%
- 4086
16.6%
1 3939
16.0%
0 3156
12.8%
8 1594
 
6.5%
2 1558
 
6.3%
3 1240
 
5.0%
7 1169
 
4.8%
9 1003
 
4.1%
4 938
 
3.8%
Other values (2) 945
 
3.8%

Missing values

2023-12-11T02:04:56.332201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:04:56.503558image/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.
2023-12-11T02:04:56.679543image/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
0일반음식점내꿈은 미스코리아 였다부산광역시 금정구 장전로 47-1 (장전동)부산광역시 금정구 장전동 360-15<NA>
1일반음식점동래골프장식당부산광역시 금정구 하정로 66 (선동, 외 6필지)부산광역시 금정구 선동 834-1 외6필지051-580-0361
2일반음식점부산컨트리구내식당부산광역시 금정구 중앙대로2327번길 112 (노포동)부산광역시 금정구 노포동 368051-508-0782
3일반음식점밀양집부산광역시 금정구 공해2길 14 (금성동)부산광역시 금정구 금성동 886051-517-1636
4일반음식점풍년집부산광역시 금정구 공해2길 38 (금성동)부산광역시 금정구 금성동 981<NA>
5일반음식점창녕두부집부산광역시 금정구 중리2길 6 (금성동)부산광역시 금정구 금성동 545051-517-1251
6일반음식점소나무집부산광역시 금정구 공해2길 38 (금성동)부산광역시 금정구 금성동 981051-517-1905
7일반음식점연자방아부산광역시 금정구 공해2길 35 (금성동)부산광역시 금정구 금성동 980051-517-6870
8일반음식점산성집부산광역시 금정구 산성로 524 (금성동)부산광역시 금정구 금성동 864051-517-7900
9일반음식점홍기와집부산광역시 금정구 공해1길 26 (금성동)부산광역시 금정구 금성동 977051-517-1232
업종명업소명소재지(도로명)소재지(지번)소재지전화
4307휴게음식점노이비(noi-b)부산광역시 금정구 식물원로 61-1, 1층 (장전동)부산광역시 금정구 장전동 579-5<NA>
4308휴게음식점던킨 부산세웅병원점부산광역시 금정구 서동로 162, 세웅병원 1층 (서동)부산광역시 금정구 서동 199-16 세웅병원051-525-6869
4309휴게음식점힌터그룬트 부산대부산광역시 금정구 부산대학로 29, 네오스퀘어 107, 111, 112호 (장전동)부산광역시 금정구 장전동 414-23 네오스퀘어<NA>
4310휴게음식점포케올데이 부산대점부산광역시 금정구 금강로279번길 20, 2층 (장전동)부산광역시 금정구 장전동 387-15<NA>
4311위탁급식영업(주)한솔 동일고무벨트 부산점부산광역시 금정구 공단동로55번길 28, 2층 (금사동, 동일고무벨트)부산광역시 금정구 금사동 7-1 동일고무벨트070-4227-4936
4312제과점영업느루베이커리부산광역시 금정구 구서로 11, 1층 (구서동)부산광역시 금정구 구서동 414-3<NA>
4313제과점영업데이너 커피부산광역시 금정구 금정로 97-1, 1층 (장전동)부산광역시 금정구 장전동 390-5 동민빌딩<NA>
4314제과점영업레엠부산광역시 금정구 금강로 612, 1층 (남산동)부산광역시 금정구 남산동 132-1<NA>
4315제과점영업홍쌀빵부산광역시 금정구 금샘로 488, 1~2층 (남산동)부산광역시 금정구 남산동 989-14<NA>
4316제과점영업누룩꽃이 핀다부산광역시 금정구 금샘로 578, 1층 (남산동)부산광역시 금정구 남산동 960-7<NA>

Duplicate rows

Most frequently occurring

업종명업소명소재지(도로명)소재지(지번)소재지전화# duplicates
1일반음식점25센치꼬치앤오뎅바 부산대점부산광역시 금정구 부산대학로50번길 17 (장전동)부산광역시 금정구 장전동 418-20<NA>3
115일반음식점바로바로도매횟집부산광역시 금정구 오시게로42번길 9 (부곡동)부산광역시 금정구 부곡동 391-16<NA>3
0일반음식점1.5담미수제만두부산광역시 금정구 부산대학로63번길 43 (장전동)부산광역시 금정구 장전동 424-32<NA>2
2일반음식점愛(애)부산광역시 금정구 금강로 256-9 (장전동)부산광역시 금정구 장전동 420-33051-518-53282
3일반음식점가고파대구뽈찜부산광역시 금정구 부곡로 147-1 (부곡동)부산광역시 금정구 부곡동 273-13051-515-94282
4일반음식점가마치통닭 장전역점2부산광역시 금정구 부곡온천천로 140 (부곡동)부산광역시 금정구 부곡동 224-54051-513-35132
5일반음식점가장맛있는족발부산대점부산광역시 금정구 부산대학로49번길 22 (장전동)부산광역시 금정구 장전동 420-6051-514-11942
6일반음식점강나루부산광역시 금정구 서동로194번길 19 (서동)부산광역시 금정구 서동 208-13051-524-13532
7일반음식점강남웰빙보리밥부산광역시 금정구 청룡로 47 (남산동)부산광역시 금정구 남산동 133-2051-513-89972
8일반음식점거누광장부산광역시 금정구 부산대학로50번길 13 (장전동)부산광역시 금정구 장전동 418-14051-784-82302