Overview

Dataset statistics

Number of variables5
Number of observations3804
Missing cells2040
Missing cells (%)10.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory148.7 KiB
Average record size in memory40.0 B

Variable types

Categorical1
Text4

Dataset

Description부산광역시_수영구_식품접객업소현황_20230710
Author부산광역시 수영구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15014338

Alerts

업종명 is highly imbalanced (54.7%)Imbalance
소재지전화 has 2040 (53.6%) missing valuesMissing

Reproduction

Analysis started2023-12-10 17:26:26.067747
Analysis finished2023-12-10 17:26:28.304856
Duration2.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size29.8 KiB
일반음식점
2806 
휴게음식점
735 
단란주점
 
113
제과점영업
 
73
유흥주점영업
 
62

Length

Max length6
Median length5
Mean length4.9905363
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 2806
73.8%
휴게음식점 735
 
19.3%
단란주점 113
 
3.0%
제과점영업 73
 
1.9%
유흥주점영업 62
 
1.6%
위탁급식영업 15
 
0.4%

Length

2023-12-11T02:26:28.503875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:26:28.779314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 2806
73.8%
휴게음식점 735
 
19.3%
단란주점 113
 
3.0%
제과점영업 73
 
1.9%
유흥주점영업 62
 
1.6%
위탁급식영업 15
 
0.4%

업소명
Text

Distinct3726
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size29.8 KiB
2023-12-11T02:26:29.367247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33
Mean length6.7647213
Min length1

Characters and Unicode

Total characters25733
Distinct characters928
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3655 ?
Unique (%)96.1%

Sample

1st row도담추어탕
2nd row남천 할매집
3rd row용궁반점
4th row수영구청구내식당(부산수영시니어클럽 둘레상3호점)
5th row후라이드참잘하는집
ValueCountFrequency (%)
수영점 93
 
1.8%
광안점 86
 
1.7%
남천점 52
 
1.0%
세븐일레븐 39
 
0.8%
광안리점 35
 
0.7%
광안리 24
 
0.5%
망미점 22
 
0.4%
씨유 21
 
0.4%
부산수영점 19
 
0.4%
coffee 18
 
0.3%
Other values (4193) 4775
92.1%
2023-12-11T02:26:31.132190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1381
 
5.4%
점 850
 
3.3%
이 514
 
2.0%
수 458
 
1.8%
스 441
 
1.7%
) 432
 
1.7%
( 432
 
1.7%
리 428
 
1.7%
안 408
 
1.6%
광 392
 
1.5%
Other values (918) 19997
77.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20570
79.9%
Space Separator 1381
 
5.4%
Lowercase Letter 1244
 
4.8%
Uppercase Letter 1137
 
4.4%
Close Punctuation 432
 
1.7%
Open Punctuation 432
 
1.7%
Decimal Number 432
 
1.7%
Other Punctuation 89
 
0.3%
Dash Punctuation 7
 
< 0.1%
Connector Punctuation 4
 
< 0.1%
Other values (3) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 850
 
4.1%
이 514
 
2.5%
수 458
 
2.2%
스 441
 
2.1%
리 428
 
2.1%
안 408
 
2.0%
광 392
 
1.9%
영 317
 
1.5%
피 224
 
1.1%
산 223
 
1.1%
Other values (839) 16315
79.3%
Uppercase Letter
ValueCountFrequency (%)
S 103
 
9.1%
E 87
 
7.7%
C 78
 
6.9%
O 78
 
6.9%
A 73
 
6.4%
G 70
 
6.2%
B 67
 
5.9%
R 58
 
5.1%
L 55
 
4.8%
T 52
 
4.6%
Other values (16) 416
36.6%
Lowercase Letter
ValueCountFrequency (%)
e 159
12.8%
o 134
 
10.8%
a 110
 
8.8%
i 86
 
6.9%
s 73
 
5.9%
r 69
 
5.5%
n 67
 
5.4%
f 63
 
5.1%
c 61
 
4.9%
t 57
 
4.6%
Other values (15) 365
29.3%
Decimal Number
ValueCountFrequency (%)
2 99
22.9%
1 72
16.7%
5 66
15.3%
0 44
10.2%
3 38
 
8.8%
4 26
 
6.0%
7 23
 
5.3%
9 23
 
5.3%
6 22
 
5.1%
8 19
 
4.4%
Other Punctuation
ValueCountFrequency (%)
& 41
46.1%
. 19
21.3%
' 11
 
12.4%
, 9
 
10.1%
: 3
 
3.4%
# 2
 
2.2%
· 2
 
2.2%
! 1
 
1.1%
? 1
 
1.1%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
1381
100.0%
Close Punctuation
ValueCountFrequency (%)
) 432
100.0%
Open Punctuation
ValueCountFrequency (%)
( 432
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20548
79.9%
Common 2781
 
10.8%
Latin 2382
 
9.3%
Han 22
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 850
 
4.1%
이 514
 
2.5%
수 458
 
2.2%
스 441
 
2.1%
리 428
 
2.1%
안 408
 
2.0%
광 392
 
1.9%
영 317
 
1.5%
피 224
 
1.1%
산 223
 
1.1%
Other values (818) 16293
79.3%
Latin
ValueCountFrequency (%)
e 159
 
6.7%
o 134
 
5.6%
a 110
 
4.6%
S 103
 
4.3%
E 87
 
3.7%
i 86
 
3.6%
C 78
 
3.3%
O 78
 
3.3%
s 73
 
3.1%
A 73
 
3.1%
Other values (42) 1401
58.8%
Common
ValueCountFrequency (%)
1381
49.7%
) 432
 
15.5%
( 432
 
15.5%
2 99
 
3.6%
1 72
 
2.6%
5 66
 
2.4%
0 44
 
1.6%
& 41
 
1.5%
3 38
 
1.4%
4 26
 
0.9%
Other values (17) 150
 
5.4%
Han
ValueCountFrequency (%)
人 2
 
9.1%
知 1
 
4.5%
停 1
 
4.5%
川 1
 
4.5%
南 1
 
4.5%
來 1
 
4.5%
味 1
 
4.5%
蘭 1
 
4.5%
舟 1
 
4.5%
流 1
 
4.5%
Other values (11) 11
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20546
79.8%
ASCII 5160
 
20.1%
CJK 20
 
0.1%
None 2
 
< 0.1%
Compat Jamo 2
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1381
26.8%
) 432
 
8.4%
( 432
 
8.4%
e 159
 
3.1%
o 134
 
2.6%
a 110
 
2.1%
S 103
 
2.0%
2 99
 
1.9%
E 87
 
1.7%
i 86
 
1.7%
Other values (67) 2137
41.4%
Hangul
ValueCountFrequency (%)
점 850
 
4.1%
이 514
 
2.5%
수 458
 
2.2%
스 441
 
2.1%
리 428
 
2.1%
안 408
 
2.0%
광 392
 
1.9%
영 317
 
1.5%
피 224
 
1.1%
산 223
 
1.1%
Other values (817) 16291
79.3%
CJK
ValueCountFrequency (%)
人 2
 
10.0%
知 1
 
5.0%
停 1
 
5.0%
川 1
 
5.0%
南 1
 
5.0%
來 1
 
5.0%
味 1
 
5.0%
舟 1
 
5.0%
流 1
 
5.0%
交 1
 
5.0%
Other values (9) 9
45.0%
None
ValueCountFrequency (%)
· 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㄱ 2
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
蘭 1
50.0%
龍 1
50.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지(도로명)
Text

Distinct3481
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size29.8 KiB
2023-12-11T02:26:31.815539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length57
Mean length32.353049
Min length21

Characters and Unicode

Total characters123071
Distinct characters342
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

Unique3214 ?
Unique (%)84.5%

Sample

1st row부산광역시 수영구 황령대로489번길 55 (남천동)
2nd row부산광역시 수영구 황령대로489번길 33-6 (남천동)
3rd row부산광역시 수영구 무학로22번길 4, 1층 (광안동)
4th row부산광역시 수영구 남천동로 100, 지하1층 (남천동, 수영구청)
5th row부산광역시 수영구 무학로9번길 46 (광안동)
ValueCountFrequency (%)
부산광역시 3804
 
15.8%
수영구 3804
 
15.8%
1층 2092
 
8.7%
광안동 1413
 
5.9%
민락동 842
 
3.5%
남천동 729
 
3.0%
망미동 403
 
1.7%
수영동 394
 
1.6%
2층 350
 
1.5%
광안해변로 248
 
1.0%
Other values (1811) 9976
41.5%
2023-12-11T02:26:32.911470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20252
 
16.5%
광 6410
 
5.2%
1 6012
 
4.9%
수 5507
 
4.5%
영 5151
 
4.2%
동 4384
 
3.6%
산 3914
 
3.2%
부 3902
 
3.2%
구 3884
 
3.2%
시 3848
 
3.1%
Other values (332) 59807
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69989
56.9%
Decimal Number 20351
 
16.5%
Space Separator 20252
 
16.5%
Open Punctuation 3840
 
3.1%
Close Punctuation 3840
 
3.1%
Other Punctuation 3828
 
3.1%
Dash Punctuation 630
 
0.5%
Uppercase Letter 176
 
0.1%
Math Symbol 119
 
0.1%
Lowercase Letter 41
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 6410
 
9.2%
수 5507
 
7.9%
영 5151
 
7.4%
동 4384
 
6.3%
산 3914
 
5.6%
부 3902
 
5.6%
구 3884
 
5.5%
시 3848
 
5.5%
로 3823
 
5.5%
역 3817
 
5.5%
Other values (287) 25349
36.2%
Uppercase Letter
ValueCountFrequency (%)
A 34
19.3%
B 33
18.8%
C 18
10.2%
K 12
 
6.8%
S 9
 
5.1%
L 8
 
4.5%
E 8
 
4.5%
D 7
 
4.0%
P 6
 
3.4%
O 6
 
3.4%
Other values (11) 35
19.9%
Decimal Number
ValueCountFrequency (%)
1 6012
29.5%
2 2680
13.2%
0 1848
 
9.1%
3 1803
 
8.9%
4 1672
 
8.2%
5 1482
 
7.3%
6 1410
 
6.9%
7 1254
 
6.2%
9 1164
 
5.7%
8 1026
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 3812
99.6%
/ 7
 
0.2%
@ 5
 
0.1%
. 4
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 38
92.7%
c 1
 
2.4%
y 1
 
2.4%
s 1
 
2.4%
Space Separator
ValueCountFrequency (%)
20252
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3840
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3840
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 630
100.0%
Math Symbol
ValueCountFrequency (%)
~ 119
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69989
56.9%
Common 52860
43.0%
Latin 222
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 6410
 
9.2%
수 5507
 
7.9%
영 5151
 
7.4%
동 4384
 
6.3%
산 3914
 
5.6%
부 3902
 
5.6%
구 3884
 
5.5%
시 3848
 
5.5%
로 3823
 
5.5%
역 3817
 
5.5%
Other values (287) 25349
36.2%
Latin
ValueCountFrequency (%)
e 38
17.1%
A 34
15.3%
B 33
14.9%
C 18
 
8.1%
K 12
 
5.4%
S 9
 
4.1%
L 8
 
3.6%
E 8
 
3.6%
D 7
 
3.2%
P 6
 
2.7%
Other values (16) 49
22.1%
Common
ValueCountFrequency (%)
20252
38.3%
1 6012
 
11.4%
( 3840
 
7.3%
) 3840
 
7.3%
, 3812
 
7.2%
2 2680
 
5.1%
0 1848
 
3.5%
3 1803
 
3.4%
4 1672
 
3.2%
5 1482
 
2.8%
Other values (9) 5619
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69989
56.9%
ASCII 53077
43.1%
Number Forms 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20252
38.2%
1 6012
 
11.3%
( 3840
 
7.2%
) 3840
 
7.2%
, 3812
 
7.2%
2 2680
 
5.0%
0 1848
 
3.5%
3 1803
 
3.4%
4 1672
 
3.2%
5 1482
 
2.8%
Other values (34) 5836
 
11.0%
Hangul
ValueCountFrequency (%)
광 6410
 
9.2%
수 5507
 
7.9%
영 5151
 
7.4%
동 4384
 
6.3%
산 3914
 
5.6%
부 3902
 
5.6%
구 3884
 
5.5%
시 3848
 
5.5%
로 3823
 
5.5%
역 3817
 
5.5%
Other values (287) 25349
36.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
100.0%

소재지(지번)
Text

Distinct2825
Distinct (%)74.3%
Missing0
Missing (%)0.0%
Memory size29.8 KiB
2023-12-11T02:26:33.655411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length44
Mean length22.417718
Min length17

Characters and Unicode

Total characters85277
Distinct characters322
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

Unique2257 ?
Unique (%)59.3%

Sample

1st row부산광역시 수영구 남천동 195
2nd row부산광역시 수영구 남천동 234-1
3rd row부산광역시 수영구 광안동 120-124 1층
4th row부산광역시 수영구 남천동 148-15 수영구청 지하1층
5th row부산광역시 수영구 광안동 100-10
ValueCountFrequency (%)
부산광역시 3804
22.5%
수영구 3804
22.5%
광안동 1432
 
8.5%
민락동 869
 
5.1%
남천동 737
 
4.4%
망미동 405
 
2.4%
수영동 396
 
2.3%
1층 283
 
1.7%
2층 65
 
0.4%
지하1층 64
 
0.4%
Other values (2756) 5063
29.9%
2023-12-11T02:26:34.730147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16816
19.7%
광 5345
 
6.3%
1 4550
 
5.3%
영 4233
 
5.0%
수 4230
 
5.0%
동 3928
 
4.6%
시 3841
 
4.5%
산 3839
 
4.5%
부 3830
 
4.5%
역 3817
 
4.5%
Other values (312) 30848
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47090
55.2%
Decimal Number 17332
 
20.3%
Space Separator 16816
 
19.7%
Dash Punctuation 3554
 
4.2%
Open Punctuation 135
 
0.2%
Close Punctuation 135
 
0.2%
Uppercase Letter 115
 
0.1%
Other Punctuation 37
 
< 0.1%
Lowercase Letter 36
 
< 0.1%
Math Symbol 23
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 5345
11.4%
영 4233
9.0%
수 4230
9.0%
동 3928
8.3%
시 3841
8.2%
산 3839
8.2%
부 3830
8.1%
역 3817
8.1%
구 3810
8.1%
안 1523
 
3.2%
Other values (271) 8694
18.5%
Uppercase Letter
ValueCountFrequency (%)
A 14
 
12.2%
E 10
 
8.7%
S 10
 
8.7%
K 9
 
7.8%
B 9
 
7.8%
L 8
 
7.0%
W 5
 
4.3%
I 5
 
4.3%
R 5
 
4.3%
P 5
 
4.3%
Other values (10) 35
30.4%
Decimal Number
ValueCountFrequency (%)
1 4550
26.3%
2 2070
11.9%
4 1740
 
10.0%
3 1633
 
9.4%
5 1378
 
8.0%
0 1330
 
7.7%
7 1320
 
7.6%
8 1213
 
7.0%
6 1072
 
6.2%
9 1026
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 29
78.4%
@ 4
 
10.8%
/ 2
 
5.4%
. 2
 
5.4%
Space Separator
ValueCountFrequency (%)
16816
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3554
100.0%
Open Punctuation
ValueCountFrequency (%)
( 135
100.0%
Close Punctuation
ValueCountFrequency (%)
) 135
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 36
100.0%
Math Symbol
ValueCountFrequency (%)
~ 23
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47090
55.2%
Common 38032
44.6%
Latin 155
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 5345
11.4%
영 4233
9.0%
수 4230
9.0%
동 3928
8.3%
시 3841
8.2%
산 3839
8.2%
부 3830
8.1%
역 3817
8.1%
구 3810
8.1%
안 1523
 
3.2%
Other values (271) 8694
18.5%
Latin
ValueCountFrequency (%)
e 36
23.2%
A 14
 
9.0%
E 10
 
6.5%
S 10
 
6.5%
K 9
 
5.8%
B 9
 
5.8%
L 8
 
5.2%
W 5
 
3.2%
I 5
 
3.2%
R 5
 
3.2%
Other values (12) 44
28.4%
Common
ValueCountFrequency (%)
16816
44.2%
1 4550
 
12.0%
- 3554
 
9.3%
2 2070
 
5.4%
4 1740
 
4.6%
3 1633
 
4.3%
5 1378
 
3.6%
0 1330
 
3.5%
7 1320
 
3.5%
8 1213
 
3.2%
Other values (9) 2428
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47090
55.2%
ASCII 38183
44.8%
Number Forms 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16816
44.0%
1 4550
 
11.9%
- 3554
 
9.3%
2 2070
 
5.4%
4 1740
 
4.6%
3 1633
 
4.3%
5 1378
 
3.6%
0 1330
 
3.5%
7 1320
 
3.5%
8 1213
 
3.2%
Other values (30) 2579
 
6.8%
Hangul
ValueCountFrequency (%)
광 5345
11.4%
영 4233
9.0%
수 4230
9.0%
동 3928
8.3%
시 3841
8.2%
산 3839
8.2%
부 3830
8.1%
역 3817
8.1%
구 3810
8.1%
안 1523
 
3.2%
Other values (271) 8694
18.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
100.0%

소재지전화
Text

MISSING 

Distinct1733
Distinct (%)98.2%
Missing2040
Missing (%)53.6%
Memory size29.8 KiB
2023-12-11T02:26:35.334213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.019841
Min length11

Characters and Unicode

Total characters21203
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

Unique1703 ?
Unique (%)96.5%

Sample

1st row051-623-7746
2nd row051-625-4163
3rd row051-751-2267
4th row051-753-7093
5th row051-627-5291
ValueCountFrequency (%)
051-628-1142 3
 
0.2%
051-728-9339 2
 
0.1%
051-759-3320 2
 
0.1%
051-755-0072 2
 
0.1%
051-625-8400 2
 
0.1%
051-751-0224 2
 
0.1%
051-757-7100 2
 
0.1%
051-757-3334 2
 
0.1%
051-608-6022 2
 
0.1%
051-757-4034 2
 
0.1%
Other values (1723) 1743
98.8%
2023-12-11T02:26:36.328569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 3858
18.2%
- 3528
16.6%
0 2811
13.3%
1 2796
13.2%
7 2131
10.1%
2 1339
 
6.3%
6 1120
 
5.3%
3 962
 
4.5%
8 947
 
4.5%
9 868
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17675
83.4%
Dash Punctuation 3528
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 3858
21.8%
0 2811
15.9%
1 2796
15.8%
7 2131
12.1%
2 1339
 
7.6%
6 1120
 
6.3%
3 962
 
5.4%
8 947
 
5.4%
9 868
 
4.9%
4 843
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 3528
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21203
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 3858
18.2%
- 3528
16.6%
0 2811
13.3%
1 2796
13.2%
7 2131
10.1%
2 1339
 
6.3%
6 1120
 
5.3%
3 962
 
4.5%
8 947
 
4.5%
9 868
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21203
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 3858
18.2%
- 3528
16.6%
0 2811
13.3%
1 2796
13.2%
7 2131
10.1%
2 1339
 
6.3%
6 1120
 
5.3%
3 962
 
4.5%
8 947
 
4.5%
9 868
 
4.1%

Missing values

2023-12-11T02:26:27.982254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:26:28.208858image/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.

Sample

업종명업소명소재지(도로명)소재지(지번)소재지전화
0일반음식점도담추어탕부산광역시 수영구 황령대로489번길 55 (남천동)부산광역시 수영구 남천동 195051-623-7746
1일반음식점남천 할매집부산광역시 수영구 황령대로489번길 33-6 (남천동)부산광역시 수영구 남천동 234-1051-625-4163
2일반음식점용궁반점부산광역시 수영구 무학로22번길 4, 1층 (광안동)부산광역시 수영구 광안동 120-124 1층051-751-2267
3일반음식점수영구청구내식당(부산수영시니어클럽 둘레상3호점)부산광역시 수영구 남천동로 100, 지하1층 (남천동, 수영구청)부산광역시 수영구 남천동 148-15 수영구청 지하1층<NA>
4일반음식점후라이드참잘하는집부산광역시 수영구 무학로9번길 46 (광안동)부산광역시 수영구 광안동 100-10051-753-7093
5일반음식점청송양곱창부산광역시 수영구 남천동로108번길 8, 1~2층 (남천동)부산광역시 수영구 남천동 6-13051-627-5291
6일반음식점원조언양불고기부산광역시 수영구 광남로84번길 16 (광안동)부산광역시 수영구 광안동 204-8051-752-3762
7일반음식점삼호횟집부산광역시 수영구 광안해변로 278, 3층 (민락동)부산광역시 수영구 민락동 181-13 3층051-758-3536
8일반음식점오토스레스토랑부산광역시 수영구 광남로48번길 5 (남천동)부산광역시 수영구 남천동 3-56051-624-7373
9일반음식점고래진부산광역시 수영구 수영로581번길 8 (광안동)부산광역시 수영구 광안동 741-12051-752-5022
업종명업소명소재지(도로명)소재지(지번)소재지전화
3794휴게음식점영커피 수영구청점부산광역시 수영구 남천동로 103, 1층 (남천동)부산광역시 수영구 남천동 9-2<NA>
3795휴게음식점'<REPLACE>051커피망미점부산광역시 수영구 과정로 54, 1층 (망미동)부산광역시 수영구 망미동 413-9<NA>
3796휴게음식점와플칸 수영점부산광역시 수영구 무학로63번길 142, 401동 1층 110호 (민락동, 센텀비스타동원2차)부산광역시 수영구 민락동 774 센텀비스타동원2차051-759-1222
3797위탁급식영업동은상사부산광역시 수영구 구락로141번길 63, 연수동1, 1층 (망미동)부산광역시 수영구 망미동 496-4 KISWIRE CENTER051-760-1700
3798위탁급식영업(주)다조에프앤에스 수영세무서점부산광역시 수영구 남천동로19번길 28, 7층 (남천동, 수영세무서 내)부산광역시 수영구 남천동 148-57051-997-7474
3799위탁급식영업본우리집밥 KBS부산점부산광역시 수영구 수영로 429, KBS부산방송총국 11층 (남천동)부산광역시 수영구 남천동 63 KBS부산방송총국<NA>
3800제과점영업파리바게뜨 민락동방점부산광역시 수영구 광남로 203 (민락동)부산광역시 수영구 민락동 161-22051-754-2727
3801제과점영업스미다부산광역시 수영구 과정로41번길 20, 메디플러스 1층 (망미동)부산광역시 수영구 망미동 442-10 메디플러스<NA>
3802제과점영업베이크하이부산광역시 수영구 망미로7번길 9, 1층 (망미동)부산광역시 수영구 망미동 802-8051-809-1666
3803제과점영업리코케이크부산광역시 수영구 광일로29번가길 34, 상가110동 2층 202호 (광안동, 비치-그린아파트)부산광역시 수영구 광안동 529 비치-그린아파트<NA>