Overview

Dataset statistics

Number of variables5
Number of observations3819
Missing cells1699
Missing cells (%)8.9%
Duplicate rows908
Duplicate rows (%)23.8%
Total size in memory149.3 KiB
Average record size in memory40.0 B

Variable types

Categorical1
Text4

Dataset

Description식품접객업소 현황(일반 및 휴게음식점, 유흥 및 단란주점, 위탁급식업소, 제과점) 주소 및 업소 전화번호가 포함되어 있습니다.
Author부산광역시 수영구
URLhttps://www.data.go.kr/data/15014338/fileData.do

Alerts

Dataset has 908 (23.8%) duplicate rowsDuplicates
업종명 is highly imbalanced (67.6%)Imbalance
소재지전화 has 1699 (44.5%) missing valuesMissing

Reproduction

Analysis started2024-03-14 11:06:10.050670
Analysis finished2024-03-14 11:06:11.808723
Duration1.76 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size30.0 KiB
일반음식점
3215 
휴게음식점
442 
단란주점
 
70
제과점영업
 
47
유흥주점영업
 
33

Length

Max length6
Median length5
Mean length4.9934538
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 3215
84.2%
휴게음식점 442
 
11.6%
단란주점 70
 
1.8%
제과점영업 47
 
1.2%
유흥주점영업 33
 
0.9%
위탁급식영업 12
 
0.3%

Length

2024-03-14T20:06:12.058268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:06:12.427562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 3215
84.2%
휴게음식점 442
 
11.6%
단란주점 70
 
1.8%
제과점영업 47
 
1.2%
유흥주점영업 33
 
0.9%
위탁급식영업 12
 
0.3%

업소명
Text

Distinct2869
Distinct (%)75.1%
Missing0
Missing (%)0.0%
Memory size30.0 KiB
2024-03-14T20:06:13.742367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length31
Mean length6.4828489
Min length1

Characters and Unicode

Total characters24758
Distinct characters877
Distinct categories12 ?
Distinct scripts5 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1957 ?
Unique (%)51.2%

Sample

1st row더벤티 남천역점
2nd row대가호
3rd row남천식육식당
4th row삼거리식당
5th row도담추어탕
ValueCountFrequency (%)
수영점 92
 
1.8%
광안점 83
 
1.6%
남천점 48
 
0.9%
광안리점 35
 
0.7%
광안리 31
 
0.6%
세븐일레븐 26
 
0.5%
coffee 17
 
0.3%
부산수영점 14
 
0.3%
망미점 13
 
0.3%
광안역점 13
 
0.3%
Other values (3278) 4753
92.7%
2024-03-14T20:06:15.542177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1308
 
5.3%
점 754
 
3.0%
이 496
 
2.0%
수 449
 
1.8%
리 409
 
1.7%
안 386
 
1.6%
( 373
 
1.5%
) 373
 
1.5%
광 371
 
1.5%
스 356
 
1.4%
Other values (867) 19483
78.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20235
81.7%
Space Separator 1308
 
5.3%
Lowercase Letter 1045
 
4.2%
Uppercase Letter 978
 
4.0%
Open Punctuation 373
 
1.5%
Close Punctuation 373
 
1.5%
Decimal Number 348
 
1.4%
Other Punctuation 86
 
0.3%
Dash Punctuation 4
 
< 0.1%
Connector Punctuation 3
 
< 0.1%
Other values (2) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 754
 
3.7%
이 496
 
2.5%
수 449
 
2.2%
리 409
 
2.0%
안 386
 
1.9%
광 371
 
1.8%
스 356
 
1.8%
영 311
 
1.5%
집 260
 
1.3%
산 220
 
1.1%
Other values (790) 16223
80.2%
Uppercase Letter
ValueCountFrequency (%)
S 76
 
7.8%
A 74
 
7.6%
C 73
 
7.5%
E 71
 
7.3%
B 68
 
7.0%
O 57
 
5.8%
L 52
 
5.3%
N 49
 
5.0%
G 43
 
4.4%
R 43
 
4.4%
Other values (16) 372
38.0%
Lowercase Letter
ValueCountFrequency (%)
e 148
14.2%
o 118
11.3%
a 106
 
10.1%
i 71
 
6.8%
f 57
 
5.5%
r 56
 
5.4%
s 54
 
5.2%
n 53
 
5.1%
c 48
 
4.6%
l 48
 
4.6%
Other values (15) 286
27.4%
Decimal Number
ValueCountFrequency (%)
2 79
22.7%
1 69
19.8%
0 47
13.5%
5 39
11.2%
3 27
 
7.8%
9 22
 
6.3%
4 20
 
5.7%
6 19
 
5.5%
7 15
 
4.3%
8 11
 
3.2%
Other Punctuation
ValueCountFrequency (%)
& 36
41.9%
. 22
25.6%
, 10
 
11.6%
' 10
 
11.6%
# 4
 
4.7%
? 2
 
2.3%
: 1
 
1.2%
· 1
 
1.2%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
1308
100.0%
Open Punctuation
ValueCountFrequency (%)
( 373
100.0%
Close Punctuation
ValueCountFrequency (%)
) 373
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20206
81.6%
Common 2500
 
10.1%
Latin 2023
 
8.2%
Han 27
 
0.1%
Hiragana 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 754
 
3.7%
이 496
 
2.5%
수 449
 
2.2%
리 409
 
2.0%
안 386
 
1.9%
광 371
 
1.8%
스 356
 
1.8%
영 311
 
1.5%
집 260
 
1.3%
산 220
 
1.1%
Other values (772) 16194
80.1%
Latin
ValueCountFrequency (%)
e 148
 
7.3%
o 118
 
5.8%
a 106
 
5.2%
S 76
 
3.8%
A 74
 
3.7%
C 73
 
3.6%
i 71
 
3.5%
E 71
 
3.5%
B 68
 
3.4%
f 57
 
2.8%
Other values (41) 1161
57.4%
Common
ValueCountFrequency (%)
1308
52.3%
( 373
 
14.9%
) 373
 
14.9%
2 79
 
3.2%
1 69
 
2.8%
0 47
 
1.9%
5 39
 
1.6%
& 36
 
1.4%
3 27
 
1.1%
9 22
 
0.9%
Other values (16) 127
 
5.1%
Han
ValueCountFrequency (%)
多 6
22.2%
家 2
 
7.4%
情 2
 
7.4%
釜 2
 
7.4%
人 2
 
7.4%
生 2
 
7.4%
知 1
 
3.7%
相 1
 
3.7%
味 1
 
3.7%
來 1
 
3.7%
Other values (7) 7
25.9%
Hiragana
ValueCountFrequency (%)
は 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20202
81.6%
ASCII 4522
 
18.3%
CJK 27
 
0.1%
Compat Jamo 4
 
< 0.1%
Hiragana 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1308
28.9%
( 373
 
8.2%
) 373
 
8.2%
e 148
 
3.3%
o 118
 
2.6%
a 106
 
2.3%
2 79
 
1.7%
S 76
 
1.7%
A 74
 
1.6%
C 73
 
1.6%
Other values (66) 1794
39.7%
Hangul
ValueCountFrequency (%)
점 754
 
3.7%
이 496
 
2.5%
수 449
 
2.2%
리 409
 
2.0%
안 386
 
1.9%
광 371
 
1.8%
스 356
 
1.8%
영 311
 
1.5%
집 260
 
1.3%
산 220
 
1.1%
Other values (771) 16190
80.1%
CJK
ValueCountFrequency (%)
多 6
22.2%
家 2
 
7.4%
情 2
 
7.4%
釜 2
 
7.4%
人 2
 
7.4%
生 2
 
7.4%
知 1
 
3.7%
相 1
 
3.7%
味 1
 
3.7%
來 1
 
3.7%
Other values (7) 7
25.9%
Compat Jamo
ValueCountFrequency (%)
ㄱ 4
100.0%
Hiragana
ValueCountFrequency (%)
は 2
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

소재지(도로명)
Text

Distinct2709
Distinct (%)70.9%
Missing0
Missing (%)0.0%
Memory size30.0 KiB
2024-03-14T20:06:16.641155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length56
Mean length31.668238
Min length21

Characters and Unicode

Total characters120941
Distinct characters325
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

Unique1776 ?
Unique (%)46.5%

Sample

1st row부산광역시 수영구 수영로384번길 6, 1층 (남천동)
2nd row부산광역시 수영구 구락로 54-3, 1층 (수영동)
3rd row부산광역시 수영구 수영로464번길 10, 1층 (남천동)
4th row부산광역시 수영구 수영로521번길 13-6 (광안동)
5th row부산광역시 수영구 황령대로489번길 55 (남천동)
ValueCountFrequency (%)
부산광역시 3819
 
16.2%
수영구 3819
 
16.2%
1층 1965
 
8.3%
광안동 1366
 
5.8%
민락동 866
 
3.7%
남천동 745
 
3.2%
수영동 407
 
1.7%
망미동 381
 
1.6%
2층 329
 
1.4%
광안해변로 266
 
1.1%
Other values (1563) 9633
40.8%
2024-03-14T20:06:18.187221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19778
 
16.4%
광 6393
 
5.3%
1 5795
 
4.8%
수 5490
 
4.5%
영 5148
 
4.3%
동 4355
 
3.6%
구 3905
 
3.2%
산 3902
 
3.2%
부 3889
 
3.2%
) 3853
 
3.2%
Other values (315) 58433
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69105
57.1%
Decimal Number 19839
 
16.4%
Space Separator 19778
 
16.4%
Close Punctuation 3854
 
3.2%
Open Punctuation 3854
 
3.2%
Other Punctuation 3631
 
3.0%
Dash Punctuation 637
 
0.5%
Math Symbol 111
 
0.1%
Uppercase Letter 108
 
0.1%
Lowercase Letter 19
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 6393
 
9.3%
수 5490
 
7.9%
영 5148
 
7.4%
동 4355
 
6.3%
구 3905
 
5.7%
산 3902
 
5.6%
부 3889
 
5.6%
시 3852
 
5.6%
로 3838
 
5.6%
역 3825
 
5.5%
Other values (269) 24508
35.5%
Uppercase Letter
ValueCountFrequency (%)
B 25
23.1%
A 22
20.4%
C 11
10.2%
K 9
 
8.3%
O 8
 
7.4%
E 4
 
3.7%
S 4
 
3.7%
D 4
 
3.7%
P 3
 
2.8%
H 3
 
2.8%
Other values (11) 15
13.9%
Decimal Number
ValueCountFrequency (%)
1 5795
29.2%
2 2562
12.9%
0 1792
 
9.0%
3 1777
 
9.0%
4 1638
 
8.3%
5 1469
 
7.4%
6 1298
 
6.5%
7 1235
 
6.2%
9 1189
 
6.0%
8 1084
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 3612
99.5%
@ 8
 
0.2%
/ 6
 
0.2%
. 4
 
0.1%
* 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 3853
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 3853
> 99.9%
[ 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
e 18
94.7%
c 1
 
5.3%
Space Separator
ValueCountFrequency (%)
19778
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 637
100.0%
Math Symbol
ValueCountFrequency (%)
~ 111
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69105
57.1%
Common 51704
42.8%
Latin 132
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 6393
 
9.3%
수 5490
 
7.9%
영 5148
 
7.4%
동 4355
 
6.3%
구 3905
 
5.7%
산 3902
 
5.6%
부 3889
 
5.6%
시 3852
 
5.6%
로 3838
 
5.6%
역 3825
 
5.5%
Other values (269) 24508
35.5%
Latin
ValueCountFrequency (%)
B 25
18.9%
A 22
16.7%
e 18
13.6%
C 11
8.3%
K 9
 
6.8%
O 8
 
6.1%
Ⅱ 5
 
3.8%
E 4
 
3.0%
S 4
 
3.0%
D 4
 
3.0%
Other values (14) 22
16.7%
Common
ValueCountFrequency (%)
19778
38.3%
1 5795
 
11.2%
) 3853
 
7.5%
( 3853
 
7.5%
, 3612
 
7.0%
2 2562
 
5.0%
0 1792
 
3.5%
3 1777
 
3.4%
4 1638
 
3.2%
5 1469
 
2.8%
Other values (12) 5575
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69105
57.1%
ASCII 51831
42.9%
Number Forms 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19778
38.2%
1 5795
 
11.2%
) 3853
 
7.4%
( 3853
 
7.4%
, 3612
 
7.0%
2 2562
 
4.9%
0 1792
 
3.5%
3 1777
 
3.4%
4 1638
 
3.2%
5 1469
 
2.8%
Other values (35) 5702
 
11.0%
Hangul
ValueCountFrequency (%)
광 6393
 
9.3%
수 5490
 
7.9%
영 5148
 
7.4%
동 4355
 
6.3%
구 3905
 
5.7%
산 3902
 
5.6%
부 3889
 
5.6%
시 3852
 
5.6%
로 3838
 
5.6%
역 3825
 
5.5%
Other values (269) 24508
35.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
100.0%

소재지(지번)
Text

Distinct2323
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Memory size30.0 KiB
2024-03-14T20:06:19.427016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length44
Mean length22.324954
Min length17

Characters and Unicode

Total characters85259
Distinct characters300
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

Unique1320 ?
Unique (%)34.6%

Sample

1st row부산광역시 수영구 남천동 258-2
2nd row부산광역시 수영구 수영동 488-36
3rd row부산광역시 수영구 남천동 29-12
4th row부산광역시 수영구 광안동 380-28
5th row부산광역시 수영구 남천동 195
ValueCountFrequency (%)
부산광역시 3819
22.5%
수영구 3819
22.5%
광안동 1394
 
8.2%
민락동 898
 
5.3%
남천동 755
 
4.5%
1층 414
 
2.4%
수영동 410
 
2.4%
망미동 385
 
2.3%
2층 77
 
0.5%
지하1층 48
 
0.3%
Other values (2308) 4942
29.1%
2024-03-14T20:06:21.112643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16828
19.7%
광 5303
 
6.2%
1 4800
 
5.6%
영 4253
 
5.0%
수 4247
 
5.0%
동 3926
 
4.6%
시 3846
 
4.5%
산 3844
 
4.5%
부 3839
 
4.5%
역 3825
 
4.5%
Other values (290) 30548
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46534
54.6%
Decimal Number 17771
 
20.8%
Space Separator 16828
 
19.7%
Dash Punctuation 3593
 
4.2%
Open Punctuation 181
 
0.2%
Close Punctuation 181
 
0.2%
Uppercase Letter 68
 
0.1%
Other Punctuation 52
 
0.1%
Math Symbol 30
 
< 0.1%
Lowercase Letter 18
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 5303
11.4%
영 4253
9.1%
수 4247
9.1%
동 3926
8.4%
시 3846
8.3%
산 3844
8.3%
부 3839
8.2%
역 3825
8.2%
구 3822
8.2%
안 1463
 
3.1%
Other values (248) 8166
17.5%
Uppercase Letter
ValueCountFrequency (%)
K 8
11.8%
B 7
10.3%
E 6
 
8.8%
A 6
 
8.8%
S 6
 
8.8%
O 5
 
7.4%
C 4
 
5.9%
R 3
 
4.4%
I 3
 
4.4%
L 3
 
4.4%
Other values (11) 17
25.0%
Decimal Number
ValueCountFrequency (%)
1 4800
27.0%
2 2131
12.0%
4 1744
 
9.8%
3 1596
 
9.0%
0 1436
 
8.1%
5 1395
 
7.8%
7 1282
 
7.2%
8 1234
 
6.9%
6 1105
 
6.2%
9 1048
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 41
78.8%
@ 6
 
11.5%
. 3
 
5.8%
/ 2
 
3.8%
Space Separator
ValueCountFrequency (%)
16828
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3593
100.0%
Open Punctuation
ValueCountFrequency (%)
( 181
100.0%
Close Punctuation
ValueCountFrequency (%)
) 181
100.0%
Math Symbol
ValueCountFrequency (%)
~ 30
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 18
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46534
54.6%
Common 38636
45.3%
Latin 89
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 5303
11.4%
영 4253
9.1%
수 4247
9.1%
동 3926
8.4%
시 3846
8.3%
산 3844
8.3%
부 3839
8.2%
역 3825
8.2%
구 3822
8.2%
안 1463
 
3.1%
Other values (248) 8166
17.5%
Latin
ValueCountFrequency (%)
e 18
20.2%
K 8
 
9.0%
B 7
 
7.9%
E 6
 
6.7%
A 6
 
6.7%
S 6
 
6.7%
O 5
 
5.6%
C 4
 
4.5%
R 3
 
3.4%
I 3
 
3.4%
Other values (13) 23
25.8%
Common
ValueCountFrequency (%)
16828
43.6%
1 4800
 
12.4%
- 3593
 
9.3%
2 2131
 
5.5%
4 1744
 
4.5%
3 1596
 
4.1%
0 1436
 
3.7%
5 1395
 
3.6%
7 1282
 
3.3%
8 1234
 
3.2%
Other values (9) 2597
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46534
54.6%
ASCII 38722
45.4%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16828
43.5%
1 4800
 
12.4%
- 3593
 
9.3%
2 2131
 
5.5%
4 1744
 
4.5%
3 1596
 
4.1%
0 1436
 
3.7%
5 1395
 
3.6%
7 1282
 
3.3%
8 1234
 
3.2%
Other values (31) 2683
 
6.9%
Hangul
ValueCountFrequency (%)
광 5303
11.4%
영 4253
9.1%
수 4247
9.1%
동 3926
8.4%
시 3846
8.3%
산 3844
8.3%
부 3839
8.2%
역 3825
8.2%
구 3822
8.2%
안 1463
 
3.1%
Other values (248) 8166
17.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
100.0%

소재지전화
Text

MISSING 

Distinct1436
Distinct (%)67.7%
Missing1699
Missing (%)44.5%
Memory size30.0 KiB
2024-03-14T20:06:22.139828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters25440
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

Unique767 ?
Unique (%)36.2%

Sample

1st row051-622-0537
2nd row051-757-9828
3rd row051-627-0683
4th row051-757-5840
5th row051-623-7746
ValueCountFrequency (%)
051-625-8400 4
 
0.2%
051-759-8616 4
 
0.2%
051-759-3320 3
 
0.1%
051-757-3334 3
 
0.1%
051-611-6551 3
 
0.1%
051-625-5544 3
 
0.1%
051-625-4456 3
 
0.1%
051-751-9233 3
 
0.1%
051-758-3337 3
 
0.1%
051-757-1954 3
 
0.1%
Other values (1426) 2088
98.5%
2024-03-14T20:06:23.587664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 4781
18.8%
- 4240
16.7%
1 3383
13.3%
0 3240
12.7%
7 2526
9.9%
2 1629
 
6.4%
6 1360
 
5.3%
3 1178
 
4.6%
8 1054
 
4.1%
9 1040
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21200
83.3%
Dash Punctuation 4240
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 4781
22.6%
1 3383
16.0%
0 3240
15.3%
7 2526
11.9%
2 1629
 
7.7%
6 1360
 
6.4%
3 1178
 
5.6%
8 1054
 
5.0%
9 1040
 
4.9%
4 1009
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 4240
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25440
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 4781
18.8%
- 4240
16.7%
1 3383
13.3%
0 3240
12.7%
7 2526
9.9%
2 1629
 
6.4%
6 1360
 
5.3%
3 1178
 
4.6%
8 1054
 
4.1%
9 1040
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25440
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 4781
18.8%
- 4240
16.7%
1 3383
13.3%
0 3240
12.7%
7 2526
9.9%
2 1629
 
6.4%
6 1360
 
5.3%
3 1178
 
4.6%
8 1054
 
4.1%
9 1040
 
4.1%

Missing values

2024-03-14T20:06:11.350432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T20:06:11.665777image/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
0일반음식점더벤티 남천역점부산광역시 수영구 수영로384번길 6, 1층 (남천동)부산광역시 수영구 남천동 258-2051-622-0537
1일반음식점대가호부산광역시 수영구 구락로 54-3, 1층 (수영동)부산광역시 수영구 수영동 488-36051-757-9828
2일반음식점남천식육식당부산광역시 수영구 수영로464번길 10, 1층 (남천동)부산광역시 수영구 남천동 29-12051-627-0683
3일반음식점삼거리식당부산광역시 수영구 수영로521번길 13-6 (광안동)부산광역시 수영구 광안동 380-28051-757-5840
4일반음식점도담추어탕부산광역시 수영구 황령대로489번길 55 (남천동)부산광역시 수영구 남천동 195051-623-7746
5일반음식점미트(MIT)부산광역시 수영구 황령대로489번길 47, 1층 (남천동)부산광역시 수영구 남천동 210 (1층)<NA>
6일반음식점남천회관부산광역시 수영구 황령대로481번길 60-8, 1층 (남천동)부산광역시 수영구 남천동 201 1층051-623-5296
7일반음식점남천 할매집부산광역시 수영구 황령대로489번길 33-6 (남천동)부산광역시 수영구 남천동 234-1051-625-4163
8일반음식점소라횟집부산광역시 수영구 황령대로489번길 57 (남천동)부산광역시 수영구 남천동 194051-622-5715
9일반음식점이씨집부산광역시 수영구 황령대로481번길 60-17 (남천동)부산광역시 수영구 남천동 196051-623-9100
업종명업소명소재지(도로명)소재지(지번)소재지전화
3809휴게음식점영커피 수영구청점부산광역시 수영구 남천동로 103, 1층 (남천동)부산광역시 수영구 남천동 9-2<NA>
3810휴게음식점'<REPLACE>051커피망미점부산광역시 수영구 과정로 54, 1층 (망미동)부산광역시 수영구 망미동 413-9<NA>
3811휴게음식점와플칸 수영점부산광역시 수영구 무학로63번길 142, 401동 1층 110호 (민락동, 센텀비스타동원2차)부산광역시 수영구 민락동 774 센텀비스타동원2차051-759-1222
3812휴게음식점백억커피수영점부산광역시 수영구 수영로 637, 1층 (광안동)부산광역시 수영구 광안동 659-5<NA>
3813위탁급식영업동은상사부산광역시 수영구 구락로141번길 63, 연수동1, 1층 (망미동)부산광역시 수영구 망미동 496-4 KISWIRE CENTER051-760-1700
3814위탁급식영업(주)다조에프앤에스 수영세무서점부산광역시 수영구 남천동로19번길 28, 7층 (남천동, 수영세무서 내)부산광역시 수영구 남천동 148-57051-997-7474
3815위탁급식영업본우리집밥 KBS부산점부산광역시 수영구 수영로 429, KBS부산방송총국 11층 (남천동)부산광역시 수영구 남천동 63 KBS부산방송총국<NA>
3816제과점영업파리바게뜨 민락동방점부산광역시 수영구 광남로 203 (민락동)부산광역시 수영구 민락동 161-22051-754-2727
3817제과점영업스미다부산광역시 수영구 과정로41번길 20, 메디플러스 1층 (망미동)부산광역시 수영구 망미동 442-10 메디플러스<NA>
3818제과점영업리코케이크부산광역시 수영구 광일로29번가길 34, 상가110동 2층 202호 (광안동, 비치-그린아파트)부산광역시 수영구 광안동 529 비치-그린아파트<NA>

Duplicate rows

Most frequently occurring

업종명업소명소재지(도로명)소재지(지번)소재지전화# duplicates
0일반음식점(주) C.H.B Company 이랴이랴부산광역시 수영구 광안로 9, 2~3층 (광안동)부산광역시 수영구 광안동 144-11 외1필지 (2~3층)051-751-10242
1일반음식점153구포국수 수영점부산광역시 수영구 수영로705번길 14, 1층 (수영동)부산광역시 수영구 수영동 444-2051-754-04102
2일반음식점16돈부산광역시 수영구 광안로16번길 65, A동 1층 102호 (광안동, 동신빌라)부산광역시 수영구 광안동 167-59 동신빌라 A동 102호<NA>2
3일반음식점2000 짜장나라부산광역시 수영구 연수로415번길 30-13 (수영동)부산광역시 수영구 수영동 312-2051-752-49472
4일반음식점24시부산왕돼지국밥부산광역시 수영구 과정로 57, 1층 (망미동)부산광역시 수영구 망미동 432-32051-757-38552
5일반음식점25센치부산광역시 수영구 수영로702번길 28, 1층 (광안동)부산광역시 수영구 광안동 75-2<NA>2
6일반음식점302 플레이스(place)부산광역시 수영구 수영로546번길 21, 2층 (광안동)부산광역시 수영구 광안동 166-18051-759-86162
7일반음식점30년전통할매국수부산광역시 수영구 무학로 57, 1층 (민락동)부산광역시 수영구 민락동 149-14<NA>2
8일반음식점611(육일일)부산광역시 수영구 황령산로 14-1, 2층 (남천동)부산광역시 수영구 남천동 50-24 2층<NA>2
9일반음식점700비어 수영점부산광역시 수영구 감포로 100, 1층 106,107호 (민락동, 카라디움)부산광역시 수영구 민락동 129-3 카라디움 1층(106,107호)051-754-94002