Overview

Dataset statistics

Number of variables5
Number of observations457
Missing cells56
Missing cells (%)2.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.0 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.
Author울산광역시 남구
URLhttps://www.data.go.kr/data/15035000/fileData.do

Alerts

전화번호 has 56 (12.3%) missing valuesMissing

Reproduction

Analysis started2024-04-06 08:27:36.498067
Analysis finished2024-04-06 08:27:37.836456
Duration1.34 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct452
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-04-06T17:27:38.089552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length8.0875274
Min length2

Characters and Unicode

Total characters3696
Distinct characters346
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique448 ?
Unique (%)98.0%

Sample

1st row도투락식품
2nd row고래국수
3rd row(주)삼양사 울산2공장
4th row(주)삼양사 울산1공장
5th row경남냉동
ValueCountFrequency (%)
주식회사 28
 
5.0%
울산공장 10
 
1.8%
2공장 9
 
1.6%
1공장 5
 
0.9%
주)용진유화 3
 
0.5%
한화솔루션(주 3
 
0.5%
효성화학(주 3
 
0.5%
3
 
0.5%
울산2공장 3
 
0.5%
울산1공장 3
 
0.5%
Other values (466) 485
87.4%
2024-04-06T17:27:38.781710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
276
 
7.5%
( 255
 
6.9%
) 255
 
6.9%
103
 
2.8%
103
 
2.8%
89
 
2.4%
80
 
2.2%
76
 
2.1%
69
 
1.9%
66
 
1.8%
Other values (336) 2324
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2945
79.7%
Open Punctuation 255
 
6.9%
Close Punctuation 255
 
6.9%
Space Separator 103
 
2.8%
Other Symbol 55
 
1.5%
Uppercase Letter 47
 
1.3%
Decimal Number 32
 
0.9%
Other Punctuation 2
 
0.1%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
276
 
9.4%
103
 
3.5%
89
 
3.0%
80
 
2.7%
76
 
2.6%
69
 
2.3%
66
 
2.2%
56
 
1.9%
54
 
1.8%
50
 
1.7%
Other values (312) 2026
68.8%
Uppercase Letter
ValueCountFrequency (%)
S 8
17.0%
K 7
14.9%
E 5
10.6%
C 4
8.5%
D 4
8.5%
G 3
 
6.4%
P 3
 
6.4%
M 3
 
6.4%
N 3
 
6.4%
H 2
 
4.3%
Other values (3) 5
10.6%
Decimal Number
ValueCountFrequency (%)
2 17
53.1%
1 10
31.2%
3 4
 
12.5%
4 1
 
3.1%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
s 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 255
100.0%
Close Punctuation
ValueCountFrequency (%)
) 255
100.0%
Space Separator
ValueCountFrequency (%)
103
100.0%
Other Symbol
ValueCountFrequency (%)
55
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3000
81.2%
Common 647
 
17.5%
Latin 49
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
276
 
9.2%
103
 
3.4%
89
 
3.0%
80
 
2.7%
76
 
2.5%
69
 
2.3%
66
 
2.2%
56
 
1.9%
55
 
1.8%
54
 
1.8%
Other values (313) 2076
69.2%
Latin
ValueCountFrequency (%)
S 8
16.3%
K 7
14.3%
E 5
10.2%
C 4
8.2%
D 4
8.2%
G 3
 
6.1%
P 3
 
6.1%
M 3
 
6.1%
N 3
 
6.1%
H 2
 
4.1%
Other values (5) 7
14.3%
Common
ValueCountFrequency (%)
( 255
39.4%
) 255
39.4%
103
15.9%
2 17
 
2.6%
1 10
 
1.5%
3 4
 
0.6%
& 2
 
0.3%
4 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2945
79.7%
ASCII 696
 
18.8%
None 55
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
276
 
9.4%
103
 
3.5%
89
 
3.0%
80
 
2.7%
76
 
2.6%
69
 
2.3%
66
 
2.2%
56
 
1.9%
54
 
1.8%
50
 
1.7%
Other values (312) 2026
68.8%
ASCII
ValueCountFrequency (%)
( 255
36.6%
) 255
36.6%
103
14.8%
2 17
 
2.4%
1 10
 
1.4%
S 8
 
1.1%
K 7
 
1.0%
E 5
 
0.7%
C 4
 
0.6%
3 4
 
0.6%
Other values (13) 28
 
4.0%
None
ValueCountFrequency (%)
55
100.0%
Distinct420
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-04-06T17:27:39.558101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length48
Mean length28.028446
Min length15

Characters and Unicode

Total characters12809
Distinct characters255
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

Unique387 ?
Unique (%)84.7%

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 458
 
18.3%
울산광역시 457
 
18.2%
여천동 102
 
4.1%
처용로 36
 
1.4%
선암동 31
 
1.2%
용연동 30
 
1.2%
필지 29
 
1.2%
29
 
1.2%
테크노산업로55번길 28
 
1.1%
부곡동 27
 
1.1%
Other values (580) 1282
51.1%
2024-04-06T17:27:40.485265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2064
 
16.1%
600
 
4.7%
) 524
 
4.1%
( 524
 
4.1%
466
 
3.6%
466
 
3.6%
465
 
3.6%
460
 
3.6%
459
 
3.6%
458
 
3.6%
Other values (245) 6323
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7456
58.2%
Space Separator 2064
 
16.1%
Decimal Number 1887
 
14.7%
Close Punctuation 524
 
4.1%
Open Punctuation 524
 
4.1%
Other Punctuation 191
 
1.5%
Dash Punctuation 95
 
0.7%
Uppercase Letter 51
 
0.4%
Lowercase Letter 13
 
0.1%
Other Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
600
 
8.0%
466
 
6.2%
466
 
6.2%
465
 
6.2%
460
 
6.2%
459
 
6.2%
458
 
6.1%
457
 
6.1%
434
 
5.8%
218
 
2.9%
Other values (204) 2973
39.9%
Uppercase Letter
ValueCountFrequency (%)
B 11
21.6%
A 11
21.6%
S 8
15.7%
K 7
13.7%
P 4
 
7.8%
C 2
 
3.9%
G 2
 
3.9%
T 2
 
3.9%
F 1
 
2.0%
D 1
 
2.0%
Other values (2) 2
 
3.9%
Decimal Number
ValueCountFrequency (%)
1 360
19.1%
2 249
13.2%
3 231
12.2%
5 209
11.1%
4 186
9.9%
0 160
8.5%
9 135
 
7.2%
7 124
 
6.6%
8 119
 
6.3%
6 114
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
b 4
30.8%
a 2
15.4%
i 2
15.4%
p 1
 
7.7%
c 1
 
7.7%
t 1
 
7.7%
o 1
 
7.7%
l 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 181
94.8%
. 5
 
2.6%
: 2
 
1.0%
/ 2
 
1.0%
& 1
 
0.5%
Space Separator
ValueCountFrequency (%)
2064
100.0%
Close Punctuation
ValueCountFrequency (%)
) 524
100.0%
Open Punctuation
ValueCountFrequency (%)
( 524
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 95
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7459
58.2%
Common 5286
41.3%
Latin 64
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
600
 
8.0%
466
 
6.2%
466
 
6.2%
465
 
6.2%
460
 
6.2%
459
 
6.2%
458
 
6.1%
457
 
6.1%
434
 
5.8%
218
 
2.9%
Other values (205) 2976
39.9%
Common
ValueCountFrequency (%)
2064
39.0%
) 524
 
9.9%
( 524
 
9.9%
1 360
 
6.8%
2 249
 
4.7%
3 231
 
4.4%
5 209
 
4.0%
4 186
 
3.5%
, 181
 
3.4%
0 160
 
3.0%
Other values (10) 598
 
11.3%
Latin
ValueCountFrequency (%)
B 11
17.2%
A 11
17.2%
S 8
12.5%
K 7
10.9%
b 4
 
6.2%
P 4
 
6.2%
C 2
 
3.1%
a 2
 
3.1%
i 2
 
3.1%
G 2
 
3.1%
Other values (10) 11
17.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7456
58.2%
ASCII 5350
41.8%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2064
38.6%
) 524
 
9.8%
( 524
 
9.8%
1 360
 
6.7%
2 249
 
4.7%
3 231
 
4.3%
5 209
 
3.9%
4 186
 
3.5%
, 181
 
3.4%
0 160
 
3.0%
Other values (30) 662
 
12.4%
Hangul
ValueCountFrequency (%)
600
 
8.0%
466
 
6.2%
466
 
6.2%
465
 
6.2%
460
 
6.2%
459
 
6.2%
458
 
6.1%
457
 
6.1%
434
 
5.8%
218
 
2.9%
Other values (204) 2973
39.9%
None
ValueCountFrequency (%)
3
100.0%
Distinct291
Distinct (%)63.7%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-04-06T17:27:41.046278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length24
Mean length16.606127
Min length3

Characters and Unicode

Total characters7589
Distinct characters249
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

Unique226 ?
Unique (%)49.5%

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 362
 
15.7%
220
 
9.5%
160
 
6.9%
160
 
6.9%
기타 125
 
5.4%
1 84
 
3.6%
51
 
2.2%
금속 38
 
1.6%
기초 37
 
1.6%
화학물질 36
 
1.6%
Other values (342) 1039
44.9%
2024-04-06T17:27:42.025225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1858
24.5%
500
 
6.6%
474
 
6.2%
460
 
6.1%
339
 
4.5%
237
 
3.1%
172
 
2.3%
170
 
2.2%
133
 
1.8%
1 104
 
1.4%
Other values (239) 3142
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5497
72.4%
Space Separator 1858
 
24.5%
Decimal Number 185
 
2.4%
Math Symbol 40
 
0.5%
Other Punctuation 5
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
500
 
9.1%
474
 
8.6%
460
 
8.4%
339
 
6.2%
237
 
4.3%
172
 
3.1%
170
 
3.1%
133
 
2.4%
104
 
1.9%
102
 
1.9%
Other values (224) 2806
51.0%
Decimal Number
ValueCountFrequency (%)
1 104
56.2%
2 34
 
18.4%
3 21
 
11.4%
4 12
 
6.5%
5 5
 
2.7%
9 3
 
1.6%
6 3
 
1.6%
7 2
 
1.1%
0 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
/ 3
60.0%
. 2
40.0%
Space Separator
ValueCountFrequency (%)
1858
100.0%
Math Symbol
ValueCountFrequency (%)
+ 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5497
72.4%
Common 2092
 
27.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
500
 
9.1%
474
 
8.6%
460
 
8.4%
339
 
6.2%
237
 
4.3%
172
 
3.1%
170
 
3.1%
133
 
2.4%
104
 
1.9%
102
 
1.9%
Other values (224) 2806
51.0%
Common
ValueCountFrequency (%)
1858
88.8%
1 104
 
5.0%
+ 40
 
1.9%
2 34
 
1.6%
3 21
 
1.0%
4 12
 
0.6%
5 5
 
0.2%
9 3
 
0.1%
/ 3
 
0.1%
6 3
 
0.1%
Other values (5) 9
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5497
72.4%
ASCII 2092
 
27.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1858
88.8%
1 104
 
5.0%
+ 40
 
1.9%
2 34
 
1.6%
3 21
 
1.0%
4 12
 
0.6%
5 5
 
0.2%
9 3
 
0.1%
/ 3
 
0.1%
6 3
 
0.1%
Other values (5) 9
 
0.4%
Hangul
ValueCountFrequency (%)
500
 
9.1%
474
 
8.6%
460
 
8.4%
339
 
6.2%
237
 
4.3%
172
 
3.1%
170
 
3.1%
133
 
2.4%
104
 
1.9%
102
 
1.9%
Other values (224) 2806
51.0%
Distinct436
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-04-06T17:27:42.504022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length31
Mean length10.503282
Min length1

Characters and Unicode

Total characters4800
Distinct characters433
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

Unique419 ?
Unique (%)91.7%

Sample

1st row빵+과자
2nd row국수
3rd row전분+전분당+솔비톨 등
4th row설탕+이온수지
5th row칵테일얼음
ValueCountFrequency (%)
22
 
3.0%
20
 
2.8%
13
 
1.8%
제조 6
 
0.8%
제작 6
 
0.8%
철구조물 5
 
0.7%
자동차 5
 
0.7%
가공 5
 
0.7%
재생공드럼 4
 
0.6%
선박 4
 
0.6%
Other values (577) 635
87.6%
2024-04-06T17:27:43.443935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 296
 
6.2%
272
 
5.7%
115
 
2.4%
112
 
2.3%
73
 
1.5%
C 60
 
1.2%
58
 
1.2%
56
 
1.2%
P 55
 
1.1%
52
 
1.1%
Other values (423) 3651
76.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3341
69.6%
Uppercase Letter 475
 
9.9%
Math Symbol 296
 
6.2%
Lowercase Letter 278
 
5.8%
Space Separator 272
 
5.7%
Open Punctuation 41
 
0.9%
Close Punctuation 41
 
0.9%
Decimal Number 32
 
0.7%
Other Punctuation 18
 
0.4%
Dash Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
115
 
3.4%
112
 
3.4%
73
 
2.2%
58
 
1.7%
56
 
1.7%
52
 
1.6%
51
 
1.5%
51
 
1.5%
51
 
1.5%
45
 
1.3%
Other values (361) 2677
80.1%
Uppercase Letter
ValueCountFrequency (%)
C 60
12.6%
P 55
11.6%
A 41
 
8.6%
T 38
 
8.0%
D 33
 
6.9%
E 31
 
6.5%
V 24
 
5.1%
S 22
 
4.6%
L 22
 
4.6%
M 19
 
4.0%
Other values (14) 130
27.4%
Lowercase Letter
ValueCountFrequency (%)
e 42
15.1%
l 25
 
9.0%
o 23
 
8.3%
t 23
 
8.3%
a 22
 
7.9%
n 19
 
6.8%
r 18
 
6.5%
i 15
 
5.4%
u 11
 
4.0%
p 9
 
3.2%
Other values (13) 71
25.5%
Decimal Number
ValueCountFrequency (%)
3 18
56.2%
2 7
 
21.9%
0 4
 
12.5%
4 2
 
6.2%
7 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
/ 10
55.6%
. 3
 
16.7%
& 2
 
11.1%
: 2
 
11.1%
' 1
 
5.6%
Math Symbol
ValueCountFrequency (%)
+ 296
100.0%
Space Separator
ValueCountFrequency (%)
272
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3341
69.6%
Latin 753
 
15.7%
Common 706
 
14.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
115
 
3.4%
112
 
3.4%
73
 
2.2%
58
 
1.7%
56
 
1.7%
52
 
1.6%
51
 
1.5%
51
 
1.5%
51
 
1.5%
45
 
1.3%
Other values (361) 2677
80.1%
Latin
ValueCountFrequency (%)
C 60
 
8.0%
P 55
 
7.3%
e 42
 
5.6%
A 41
 
5.4%
T 38
 
5.0%
D 33
 
4.4%
E 31
 
4.1%
l 25
 
3.3%
V 24
 
3.2%
o 23
 
3.1%
Other values (37) 381
50.6%
Common
ValueCountFrequency (%)
+ 296
41.9%
272
38.5%
( 41
 
5.8%
) 41
 
5.8%
3 18
 
2.5%
/ 10
 
1.4%
2 7
 
1.0%
- 6
 
0.8%
0 4
 
0.6%
. 3
 
0.4%
Other values (5) 8
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3341
69.6%
ASCII 1459
30.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 296
20.3%
272
18.6%
C 60
 
4.1%
P 55
 
3.8%
e 42
 
2.9%
( 41
 
2.8%
) 41
 
2.8%
A 41
 
2.8%
T 38
 
2.6%
D 33
 
2.3%
Other values (52) 540
37.0%
Hangul
ValueCountFrequency (%)
115
 
3.4%
112
 
3.4%
73
 
2.2%
58
 
1.7%
56
 
1.7%
52
 
1.6%
51
 
1.5%
51
 
1.5%
51
 
1.5%
45
 
1.3%
Other values (361) 2677
80.1%

전화번호
Text

MISSING 

Distinct382
Distinct (%)95.3%
Missing56
Missing (%)12.3%
Memory size3.7 KiB
2024-04-06T17:27:43.912615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length12
Mean length13.149626
Min length11

Characters and Unicode

Total characters5273
Distinct characters21
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

Unique368 ?
Unique (%)91.8%

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
 
1.0%
052-276-4431 3
 
0.7%
052-226-8821 3
 
0.7%
052-208-9000 3
 
0.7%
052-271-7737 2
 
0.5%
052-275-5634 2
 
0.5%
052-275-9848 2
 
0.5%
052-260-3311 2
 
0.5%
052-259-7810 2
 
0.5%
052-231-7300/052-231-7411 2
 
0.5%
Other values (372) 376
93.8%
2024-04-06T17:27:44.687199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1024
19.4%
- 853
16.2%
0 805
15.3%
5 688
13.0%
7 337
 
6.4%
6 320
 
6.1%
1 293
 
5.6%
8 258
 
4.9%
3 218
 
4.1%
9 208
 
3.9%
Other values (11) 269
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4355
82.6%
Dash Punctuation 853
 
16.2%
Other Punctuation 35
 
0.7%
Math Symbol 13
 
0.2%
Other Letter 9
 
0.2%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1024
23.5%
0 805
18.5%
5 688
15.8%
7 337
 
7.7%
6 320
 
7.3%
1 293
 
6.7%
8 258
 
5.9%
3 218
 
5.0%
9 208
 
4.8%
4 204
 
4.7%
Other Letter
ValueCountFrequency (%)
3
33.3%
3
33.3%
1
 
11.1%
1
 
11.1%
1
 
11.1%
Math Symbol
ValueCountFrequency (%)
+ 11
84.6%
~ 2
 
15.4%
Dash Punctuation
ValueCountFrequency (%)
- 853
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5264
99.8%
Hangul 9
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1024
19.5%
- 853
16.2%
0 805
15.3%
5 688
13.1%
7 337
 
6.4%
6 320
 
6.1%
1 293
 
5.6%
8 258
 
4.9%
3 218
 
4.1%
9 208
 
4.0%
Other values (6) 260
 
4.9%
Hangul
ValueCountFrequency (%)
3
33.3%
3
33.3%
1
 
11.1%
1
 
11.1%
1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5264
99.8%
Hangul 9
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1024
19.5%
- 853
16.2%
0 805
15.3%
5 688
13.1%
7 337
 
6.4%
6 320
 
6.1%
1 293
 
5.6%
8 258
 
4.9%
3 218
 
4.1%
9 208
 
4.0%
Other values (6) 260
 
4.9%
Hangul
ValueCountFrequency (%)
3
33.3%
3
33.3%
1
 
11.1%
1
 
11.1%
1
 
11.1%

Missing values

2024-04-06T17:27:37.582188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:27:37.753611image/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
6은지부산어묵울산광역시 남구 봉월로102번길 34-1 (신정동)수산동물훈제조리 및 유사조제식품 제조업어묵<NA>
7청아푸드울산광역시 남구 산업로340번길 22 (선암동)도시락류 제조업 외 1 종도시락 및 빵류 제조<NA>
8야망떡집울산광역시 남구 돋질로 95-2떡류제조업<NA>
9(주)동주산업울산광역시 남구 용잠로 418 (용잠동, 동주산업(주))표면처리 및 적층 직물 제조업 외 3 종마블+라미네이트052-256-0436
회사명공장대표주소(도로명)업종명생산품전화번호
447하우덴코리아(유)울산광역시 남구 산안로 12-1 (여천동)기타 일반 기계 및 장비 수리업 외 1 종압축기 수리+배관제작052-266-1011
448한국산업기계기술(주)울산광역시 남구 테크노산업로55번길 79-10, 307A (두왕동) 307A전동기 및 발전기 제조업 외 29 종펌프+발전기+터보블로워+송풍기+제트펜052-269-1718
449한국제어기술울산광역시 남구 테크노산업로29번길 124 (두왕동)유압기기 제조업자동밸브052-238-6533
450HD현대마린솔루션(사명변경)울산광역시 남구 신두왕로 50 (두왕동)전기회로 개폐+보호장치 제조업 외 1 종선박용 디지털/제어 펌프<NA>
451형제ENG울산광역시 남구 남창로5길 20 (두왕동)전동기 및 발전기 제조업전기모터052-275-6776
452호에비거코리아울산광역시 남구 테크노산업로29번길 108 (두왕동)탭+밸브 및 유사장치 제조업밸브052-227-3720
453오에스하이팩울산광역시 남구 산업로 430-2, (358-8) (여천동, (주)태성산업)봉투제조업알루미늄포장재<NA>
454주상기업울산광역시 남구 산업로 404 (여천동, 동해가스산업(주))탭+밸브및 유사장치제조밸브052-260-3841
455에이디엠앤아이㈜울산광역시 남구 신여천로 96 (여천동)기계제조업산업기계제조052-261-3344
456(주)용진유화울산광역시 남구 여천로 215-84화학제품+제조업외1종SUVPRAX052-228-9600(본사)+255-9623