Overview

Dataset statistics

Number of variables5
Number of observations425
Missing cells3
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.7 KiB
Average record size in memory40.3 B

Variable types

Text5

Dataset

Description울산광역시 남구 제조업 현황에 대한 데이터로 회사명, 공장대표주소(도로명), 업종명, 생산품, 전화번호 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15035000/fileData.do

Reproduction

Analysis started2023-12-12 12:47:44.212479
Analysis finished2023-12-12 12:47:44.969311
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회사명
Text

Distinct420
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-12T21:47:45.146140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length17
Mean length7.9788235
Min length2

Characters and Unicode

Total characters3391
Distinct characters329
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique415 ?
Unique (%)97.6%

Sample

1st row도투락식품
2nd row고래국수
3rd row(주)삼양사 울산2공장
4th row(주)삼양사 울산1공장
5th row경남냉동
ValueCountFrequency (%)
주식회사 19
 
3.7%
울산공장 11
 
2.2%
2공장 10
 
2.0%
1공장 4
 
0.8%
울산2공장 3
 
0.6%
울산1공장 3
 
0.6%
효성화학(주 3
 
0.6%
한화솔루션(주 3
 
0.6%
금호석유화학(주 2
 
0.4%
어프로티움㈜ 2
 
0.4%
Other values (429) 447
88.2%
2023-12-12T21:47:45.634419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 251
 
7.4%
( 236
 
7.0%
) 236
 
7.0%
산 103
 
3.0%
공 88
 
2.6%
85
 
2.5%
장 73
 
2.2%
이 69
 
2.0%
업 68
 
2.0%
스 66
 
1.9%
Other values (319) 2116
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2691
79.4%
Open Punctuation 236
 
7.0%
Close Punctuation 236
 
7.0%
Space Separator 85
 
2.5%
Other Symbol 57
 
1.7%
Uppercase Letter 52
 
1.5%
Decimal Number 31
 
0.9%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 251
 
9.3%
산 103
 
3.8%
공 88
 
3.3%
장 73
 
2.7%
이 69
 
2.6%
업 68
 
2.5%
스 66
 
2.5%
화 52
 
1.9%
에 49
 
1.8%
울 48
 
1.8%
Other values (296) 1824
67.8%
Uppercase Letter
ValueCountFrequency (%)
S 12
23.1%
K 10
19.2%
E 6
11.5%
C 4
 
7.7%
P 4
 
7.7%
G 3
 
5.8%
N 3
 
5.8%
M 3
 
5.8%
T 2
 
3.8%
X 2
 
3.8%
Other values (3) 3
 
5.8%
Decimal Number
ValueCountFrequency (%)
2 17
54.8%
1 9
29.0%
3 4
 
12.9%
4 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
/ 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 236
100.0%
Close Punctuation
ValueCountFrequency (%)
) 236
100.0%
Space Separator
ValueCountFrequency (%)
85
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2748
81.0%
Common 591
 
17.4%
Latin 52
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 251
 
9.1%
산 103
 
3.7%
공 88
 
3.2%
장 73
 
2.7%
이 69
 
2.5%
업 68
 
2.5%
스 66
 
2.4%
㈜ 57
 
2.1%
화 52
 
1.9%
에 49
 
1.8%
Other values (297) 1872
68.1%
Latin
ValueCountFrequency (%)
S 12
23.1%
K 10
19.2%
E 6
11.5%
C 4
 
7.7%
P 4
 
7.7%
G 3
 
5.8%
N 3
 
5.8%
M 3
 
5.8%
T 2
 
3.8%
X 2
 
3.8%
Other values (3) 3
 
5.8%
Common
ValueCountFrequency (%)
( 236
39.9%
) 236
39.9%
85
 
14.4%
2 17
 
2.9%
1 9
 
1.5%
3 4
 
0.7%
& 2
 
0.3%
4 1
 
0.2%
/ 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2691
79.4%
ASCII 643
 
19.0%
None 57
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 251
 
9.3%
산 103
 
3.8%
공 88
 
3.3%
장 73
 
2.7%
이 69
 
2.6%
업 68
 
2.5%
스 66
 
2.5%
화 52
 
1.9%
에 49
 
1.8%
울 48
 
1.8%
Other values (296) 1824
67.8%
ASCII
ValueCountFrequency (%)
( 236
36.7%
) 236
36.7%
85
 
13.2%
2 17
 
2.6%
S 12
 
1.9%
K 10
 
1.6%
1 9
 
1.4%
E 6
 
0.9%
3 4
 
0.6%
C 4
 
0.6%
Other values (12) 24
 
3.7%
None
ValueCountFrequency (%)
㈜ 57
100.0%

공장대표주소(도로명)
Text

Distinct399
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-12T21:47:45.986564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length42
Mean length28.037647
Min length15

Characters and Unicode

Total characters11916
Distinct characters246
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

Unique373 ?
Unique (%)87.8%

Sample

1st row울산광역시 남구 돋질로 446번길 19
2nd row울산광역시 남구 장생포고래로 271-1 14동 (매암동)
3rd row울산광역시 남구 매암로 115 (매암동)
4th row울산광역시 남구 장생포로 285 (매암동, 삼양사(주))
5th row울산광역시 남구 산업로 432 (여천동, 경남냉동) (총 5 필지)
ValueCountFrequency (%)
남구 426
 
18.1%
울산광역시 425
 
18.0%
여천동 98
 
4.2%
처용로 32
 
1.4%
용연동 30
 
1.3%
총 30
 
1.3%
필지 30
 
1.3%
부곡동 28
 
1.2%
선암동 28
 
1.2%
신정동 25
 
1.1%
Other values (561) 1204
51.1%
2023-12-12T21:47:46.545372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1944
 
16.3%
산 547
 
4.6%
) 498
 
4.2%
( 498
 
4.2%
울 437
 
3.7%
광 435
 
3.7%
남 433
 
3.6%
구 428
 
3.6%
로 427
 
3.6%
시 426
 
3.6%
Other values (236) 5843
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6929
58.1%
Space Separator 1944
 
16.3%
Decimal Number 1726
 
14.5%
Close Punctuation 498
 
4.2%
Open Punctuation 498
 
4.2%
Other Punctuation 190
 
1.6%
Dash Punctuation 83
 
0.7%
Uppercase Letter 35
 
0.3%
Lowercase Letter 10
 
0.1%
Other Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 547
 
7.9%
울 437
 
6.3%
광 435
 
6.3%
남 433
 
6.2%
구 428
 
6.2%
로 427
 
6.2%
시 426
 
6.1%
역 425
 
6.1%
동 406
 
5.9%
번 197
 
2.8%
Other values (202) 2768
39.9%
Uppercase Letter
ValueCountFrequency (%)
A 7
20.0%
K 6
17.1%
B 6
17.1%
S 6
17.1%
P 2
 
5.7%
T 2
 
5.7%
G 2
 
5.7%
F 1
 
2.9%
E 1
 
2.9%
N 1
 
2.9%
Decimal Number
ValueCountFrequency (%)
1 333
19.3%
2 227
13.2%
3 204
11.8%
4 195
11.3%
5 163
9.4%
0 140
8.1%
9 126
 
7.3%
8 118
 
6.8%
6 110
 
6.4%
7 110
 
6.4%
Lowercase Letter
ValueCountFrequency (%)
a 6
60.0%
b 1
 
10.0%
p 1
 
10.0%
i 1
 
10.0%
c 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 184
96.8%
. 4
 
2.1%
: 2
 
1.1%
Space Separator
ValueCountFrequency (%)
1944
100.0%
Close Punctuation
ValueCountFrequency (%)
) 498
100.0%
Open Punctuation
ValueCountFrequency (%)
( 498
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6932
58.2%
Common 4939
41.4%
Latin 45
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 547
 
7.9%
울 437
 
6.3%
광 435
 
6.3%
남 433
 
6.2%
구 428
 
6.2%
로 427
 
6.2%
시 426
 
6.1%
역 425
 
6.1%
동 406
 
5.9%
번 197
 
2.8%
Other values (203) 2771
40.0%
Common
ValueCountFrequency (%)
1944
39.4%
) 498
 
10.1%
( 498
 
10.1%
1 333
 
6.7%
2 227
 
4.6%
3 204
 
4.1%
4 195
 
3.9%
, 184
 
3.7%
5 163
 
3.3%
0 140
 
2.8%
Other values (7) 553
 
11.2%
Latin
ValueCountFrequency (%)
A 7
15.6%
K 6
13.3%
B 6
13.3%
S 6
13.3%
a 6
13.3%
P 2
 
4.4%
T 2
 
4.4%
G 2
 
4.4%
b 1
 
2.2%
F 1
 
2.2%
Other values (6) 6
13.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6929
58.1%
ASCII 4984
41.8%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1944
39.0%
) 498
 
10.0%
( 498
 
10.0%
1 333
 
6.7%
2 227
 
4.6%
3 204
 
4.1%
4 195
 
3.9%
, 184
 
3.7%
5 163
 
3.3%
0 140
 
2.8%
Other values (23) 598
 
12.0%
Hangul
ValueCountFrequency (%)
산 547
 
7.9%
울 437
 
6.3%
광 435
 
6.3%
남 433
 
6.2%
구 428
 
6.2%
로 427
 
6.2%
시 426
 
6.1%
역 425
 
6.1%
동 406
 
5.9%
번 197
 
2.8%
Other values (202) 2768
39.9%
None
ValueCountFrequency (%)
㈜ 3
100.0%

업종명
Text

Distinct261
Distinct (%)61.4%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-12T21:47:46.795992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length24
Mean length16.752941
Min length3

Characters and Unicode

Total characters7120
Distinct characters235
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique204 ?
Unique (%)48.0%

Sample

1st row빵류 제조업 외 1 종
2nd row면류+마카로니 및 유사식품 제조업
3rd row전분제품 및 당류 제조업
4th row설탕 제조업
5th row얼음 제조업 외 1 종
ValueCountFrequency (%)
제조업 335
 
15.4%
외 202
 
9.3%
및 150
 
6.9%
종 144
 
6.6%
기타 116
 
5.3%
1 78
 
3.6%
그 49
 
2.3%
기초 37
 
1.7%
화학물질 36
 
1.7%
금속 35
 
1.6%
Other values (336) 991
45.6%
2023-12-12T21:47:47.192623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1751
24.6%
제 470
 
6.6%
업 442
 
6.2%
조 423
 
5.9%
기 310
 
4.4%
외 219
 
3.1%
및 160
 
2.2%
종 155
 
2.2%
타 123
 
1.7%
화 103
 
1.4%
Other values (225) 2964
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5153
72.4%
Space Separator 1751
 
24.6%
Decimal Number 167
 
2.3%
Math Symbol 38
 
0.5%
Other Punctuation 5
 
0.1%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 470
 
9.1%
업 442
 
8.6%
조 423
 
8.2%
기 310
 
6.0%
외 219
 
4.2%
및 160
 
3.1%
종 155
 
3.0%
타 123
 
2.4%
화 103
 
2.0%
물 101
 
2.0%
Other values (210) 2647
51.4%
Decimal Number
ValueCountFrequency (%)
1 97
58.1%
2 27
 
16.2%
3 19
 
11.4%
4 12
 
7.2%
5 4
 
2.4%
6 3
 
1.8%
9 2
 
1.2%
7 2
 
1.2%
0 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
/ 3
60.0%
. 2
40.0%
Space Separator
ValueCountFrequency (%)
1751
100.0%
Math Symbol
ValueCountFrequency (%)
+ 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5153
72.4%
Common 1967
 
27.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 470
 
9.1%
업 442
 
8.6%
조 423
 
8.2%
기 310
 
6.0%
외 219
 
4.2%
및 160
 
3.1%
종 155
 
3.0%
타 123
 
2.4%
화 103
 
2.0%
물 101
 
2.0%
Other values (210) 2647
51.4%
Common
ValueCountFrequency (%)
1751
89.0%
1 97
 
4.9%
+ 38
 
1.9%
2 27
 
1.4%
3 19
 
1.0%
4 12
 
0.6%
5 4
 
0.2%
) 3
 
0.2%
( 3
 
0.2%
/ 3
 
0.2%
Other values (5) 10
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5153
72.4%
ASCII 1967
 
27.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1751
89.0%
1 97
 
4.9%
+ 38
 
1.9%
2 27
 
1.4%
3 19
 
1.0%
4 12
 
0.6%
5 4
 
0.2%
) 3
 
0.2%
( 3
 
0.2%
/ 3
 
0.2%
Other values (5) 10
 
0.5%
Hangul
ValueCountFrequency (%)
제 470
 
9.1%
업 442
 
8.6%
조 423
 
8.2%
기 310
 
6.0%
외 219
 
4.2%
및 160
 
3.1%
종 155
 
3.0%
타 123
 
2.4%
화 103
 
2.0%
물 101
 
2.0%
Other values (210) 2647
51.4%

생산품
Text

Distinct401
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-12T21:47:47.427434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length26
Mean length10.24
Min length1

Characters and Unicode

Total characters4352
Distinct characters409
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

Unique380 ?
Unique (%)89.4%

Sample

1st row빵+ 과자
2nd row국수
3rd row전분+전분당+솔비톨 등
4th row설탕+이온수지
5th row칵테일얼음
ValueCountFrequency (%)
등 19
 
2.5%
및 15
 
2.0%
외 14
 
1.9%
제작 7
 
0.9%
철구조물 6
 
0.8%
자동차 6
 
0.8%
간판 5
 
0.7%
배전반 5
 
0.7%
인쇄물 4
 
0.5%
부품 4
 
0.5%
Other values (584) 671
88.8%
2023-12-12T21:47:47.824134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
337
 
7.7%
+ 261
 
6.0%
제 91
 
2.1%
기 90
 
2.1%
스 71
 
1.6%
C 55
 
1.3%
품 54
 
1.2%
P 51
 
1.2%
자 48
 
1.1%
산 46
 
1.1%
Other values (399) 3248
74.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2943
67.6%
Uppercase Letter 451
 
10.4%
Space Separator 337
 
7.7%
Math Symbol 261
 
6.0%
Lowercase Letter 241
 
5.5%
Open Punctuation 36
 
0.8%
Close Punctuation 36
 
0.8%
Decimal Number 28
 
0.6%
Other Punctuation 13
 
0.3%
Dash Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 91
 
3.1%
기 90
 
3.1%
스 71
 
2.4%
품 54
 
1.8%
자 48
 
1.6%
산 46
 
1.6%
용 43
 
1.5%
리 43
 
1.5%
수 42
 
1.4%
조 40
 
1.4%
Other values (338) 2375
80.7%
Uppercase Letter
ValueCountFrequency (%)
C 55
12.2%
P 51
11.3%
A 39
 
8.6%
T 37
 
8.2%
E 32
 
7.1%
D 29
 
6.4%
L 22
 
4.9%
S 21
 
4.7%
V 21
 
4.7%
M 18
 
4.0%
Other values (14) 126
27.9%
Lowercase Letter
ValueCountFrequency (%)
e 37
15.4%
l 22
9.1%
o 20
 
8.3%
n 19
 
7.9%
t 19
 
7.9%
a 18
 
7.5%
r 17
 
7.1%
i 14
 
5.8%
y 11
 
4.6%
u 10
 
4.1%
Other values (13) 54
22.4%
Decimal Number
ValueCountFrequency (%)
3 14
50.0%
2 7
25.0%
0 4
 
14.3%
4 2
 
7.1%
7 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
/ 6
46.2%
. 3
23.1%
: 2
 
15.4%
& 2
 
15.4%
Space Separator
ValueCountFrequency (%)
337
100.0%
Math Symbol
ValueCountFrequency (%)
+ 261
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2943
67.6%
Common 717
 
16.5%
Latin 692
 
15.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 91
 
3.1%
기 90
 
3.1%
스 71
 
2.4%
품 54
 
1.8%
자 48
 
1.6%
산 46
 
1.6%
용 43
 
1.5%
리 43
 
1.5%
수 42
 
1.4%
조 40
 
1.4%
Other values (338) 2375
80.7%
Latin
ValueCountFrequency (%)
C 55
 
7.9%
P 51
 
7.4%
A 39
 
5.6%
e 37
 
5.3%
T 37
 
5.3%
E 32
 
4.6%
D 29
 
4.2%
L 22
 
3.2%
l 22
 
3.2%
S 21
 
3.0%
Other values (37) 347
50.1%
Common
ValueCountFrequency (%)
337
47.0%
+ 261
36.4%
( 36
 
5.0%
) 36
 
5.0%
3 14
 
2.0%
2 7
 
1.0%
- 6
 
0.8%
/ 6
 
0.8%
0 4
 
0.6%
. 3
 
0.4%
Other values (4) 7
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2943
67.6%
ASCII 1409
32.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
337
23.9%
+ 261
18.5%
C 55
 
3.9%
P 51
 
3.6%
A 39
 
2.8%
e 37
 
2.6%
T 37
 
2.6%
( 36
 
2.6%
) 36
 
2.6%
E 32
 
2.3%
Other values (51) 488
34.6%
Hangul
ValueCountFrequency (%)
제 91
 
3.1%
기 90
 
3.1%
스 71
 
2.4%
품 54
 
1.8%
자 48
 
1.6%
산 46
 
1.6%
용 43
 
1.5%
리 43
 
1.5%
수 42
 
1.4%
조 40
 
1.4%
Other values (338) 2375
80.7%

전화번호
Text

Distinct396
Distinct (%)93.8%
Missing3
Missing (%)0.7%
Memory size3.4 KiB
2023-12-12T21:47:48.044176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length12
Mean length12.751185
Min length12

Characters and Unicode

Total characters5381
Distinct characters16
Distinct categories7 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique378 ?
Unique (%)89.6%

Sample

1st row052-273-3199
2nd row052-278-2511/2512
3rd row052-279-4541
4th row052-257-7200
5th row052-228-4812
ValueCountFrequency (%)
052-259-8883 4
 
0.9%
052-226-8821 3
 
0.7%
052-276-4431 3
 
0.7%
052-208-6023 3
 
0.7%
052-260-3311 3
 
0.7%
052-208-9000 3
 
0.7%
052-260-9300 3
 
0.7%
052-267-8366 2
 
0.5%
052-256-8951 2
 
0.5%
052-278-7000 2
 
0.5%
Other values (388) 396
93.4%
2023-12-12T21:47:48.451891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1080
20.1%
- 884
16.4%
0 833
15.5%
5 706
13.1%
7 343
 
6.4%
6 322
 
6.0%
1 295
 
5.5%
8 266
 
4.9%
3 217
 
4.0%
9 209
 
3.9%
Other values (6) 226
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4467
83.0%
Dash Punctuation 884
 
16.4%
Other Punctuation 24
 
0.4%
Space Separator 2
 
< 0.1%
Math Symbol 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1080
24.2%
0 833
18.6%
5 706
15.8%
7 343
 
7.7%
6 322
 
7.2%
1 295
 
6.6%
8 266
 
6.0%
3 217
 
4.9%
9 209
 
4.7%
4 196
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 884
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 24
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5381
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1080
20.1%
- 884
16.4%
0 833
15.5%
5 706
13.1%
7 343
 
6.4%
6 322
 
6.0%
1 295
 
5.5%
8 266
 
4.9%
3 217
 
4.0%
9 209
 
3.9%
Other values (6) 226
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5381
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1080
20.1%
- 884
16.4%
0 833
15.5%
5 706
13.1%
7 343
 
6.4%
6 322
 
6.0%
1 295
 
5.5%
8 266
 
4.9%
3 217
 
4.0%
9 209
 
3.9%
Other values (6) 226
 
4.2%

Missing values

2023-12-12T21:47:44.834998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:47:44.926622image/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

회사명공장대표주소(도로명)업종명생산품전화번호
0도투락식품울산광역시 남구 돋질로 446번길 19빵류 제조업 외 1 종빵+ 과자052-273-3199
1고래국수울산광역시 남구 장생포고래로 271-1 14동 (매암동)면류+마카로니 및 유사식품 제조업국수<NA>
2(주)삼양사 울산2공장울산광역시 남구 매암로 115 (매암동)전분제품 및 당류 제조업전분+전분당+솔비톨 등052-278-2511/2512
3(주)삼양사 울산1공장울산광역시 남구 장생포로 285 (매암동, 삼양사(주))설탕 제조업설탕+이온수지052-279-4541
4경남냉동울산광역시 남구 산업로 432 (여천동, 경남냉동) (총 5 필지)얼음 제조업 외 1 종칵테일얼음052-257-7200
5(주)농협사료 울산지사울산광역시 남구 용잠로 461 (용잠동, 울산배합사료공장)배합 사료 제조업 외 1 종배합사료(대가축)052-228-4812
6대한제당(주) 울산공장울산광역시 남구 용잠로 457 (용잠동, 대한제당울산사료공장)동물용 사료 및 조제식품 제조업배합사료052-226-4004
7은지부산어묵울산광역시 남구 봉월로102번길 34-1 (신정동)수산동물훈제조리 및 유사조제식품 제조업어묵052-258-4889
8청아푸드울산광역시 남구 산업로340번길 22 (선암동)도시락류 제조업 외 1 종도시락 및 빵류 제조052-287-7705
9야망떡집울산광역시 남구 돋질로 95-2떡류제조업떡052-243-8013
회사명공장대표주소(도로명)업종명생산품전화번호
415(주)한양금속울산광역시 남구 신두왕로 32(두왕동)비철금속 제조업AL COIL052-289-2114
416(주)한양금속울산광역시 남구 대학로21번길 5-1, 1층(무거동)기타 인쇄업기록매체(고지서)052-227-1120
417에스알테크울산광역시 남구 정광로 8, 101호(무거동)일반용 전기 조명장치 제조업스마트LED조명052-951-5148
418(주)윤영테크울산광역시 남구 테크노산업로29번길 116(두왕동)자동차용 금속 압형제품 제조업BOLT052-256-5601
419지아이컴퍼니울산광역시 남구 테크노산업로55번길 104(두왕동)그외 기타1차 철강제조업철판절단 및 가공052-259-8883
420거상산업울산광역시 남구 장생포로 32강관 가공품 및 관 연결구류 제조업 외 1종프레타이+세파볼트052-900-8877
421주식회사 케이오에스울산광역시 남구 여천로 198(여천동)바이오 연료 및 혼합물 제조업 외 1종바이오중유052-222-1616
422(주)용진유화울산광역시 남구 테크노산업로55번길 80-17(두왕동)고무+ 화학섬유 및 플라스틱 성형기 제조업 외 1종브래다+ R WAX등052-255-9632
423주식회사 진우기술울산광역시 남구 장생포로 54(여천동)강관 가공품 및 관 연결구류 제조업산업기계제작 및 설치052-915-3553
424주식회사 에이스금속울산광역시 남구 납도로 90 (여천동)그 외 기타 1차 철강 제조업철판가공052-266-1700