Overview

Dataset statistics

Number of variables6
Number of observations350
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.9 KiB
Average record size in memory49.4 B

Variable types

Numeric1
Text5

Dataset

Description부산광역시금정구_공장등록현황_20210304
Author부산광역시 금정구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3077319

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:15:34.973354
Analysis finished2023-12-10 17:15:36.954160
Duration1.98 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct350
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean175.5
Minimum1
Maximum350
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2023-12-11T02:15:37.085956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18.45
Q188.25
median175.5
Q3262.75
95-th percentile332.55
Maximum350
Range349
Interquartile range (IQR)174.5

Descriptive statistics

Standard deviation101.18053
Coefficient of variation (CV)0.57652725
Kurtosis-1.2
Mean175.5
Median Absolute Deviation (MAD)87.5
Skewness0
Sum61425
Variance10237.5
MonotonicityStrictly increasing
2023-12-11T02:15:37.373150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
232 1
 
0.3%
240 1
 
0.3%
239 1
 
0.3%
238 1
 
0.3%
237 1
 
0.3%
236 1
 
0.3%
235 1
 
0.3%
234 1
 
0.3%
233 1
 
0.3%
Other values (340) 340
97.1%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
350 1
0.3%
349 1
0.3%
348 1
0.3%
347 1
0.3%
346 1
0.3%
345 1
0.3%
344 1
0.3%
343 1
0.3%
342 1
0.3%
341 1
0.3%
Distinct343
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-11T02:15:37.816024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length16
Mean length6.8057143
Min length2

Characters and Unicode

Total characters2382
Distinct characters303
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

Unique336 ?
Unique (%)96.0%

Sample

1st row(주)DH전장
2nd row(주)가람디자인
3rd row(주)경동직물
4th row(주)고려식품
5th row(주)광전애드후렘
ValueCountFrequency (%)
주식회사 30
 
7.6%
욱성화학주식회사 3
 
0.8%
세화씨푸드(주 3
 
0.8%
제2공장 3
 
0.8%
대성방직(주 2
 
0.5%
제3공장 2
 
0.5%
금사공장 2
 
0.5%
주)무궁화용사촌에프앤씨(f&c 2
 
0.5%
부산지사 2
 
0.5%
주)대한방수 2
 
0.5%
Other values (340) 346
87.2%
2023-12-11T02:15:38.508786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
184
 
7.7%
( 142
 
6.0%
) 142
 
6.0%
83
 
3.5%
51
 
2.1%
50
 
2.1%
47
 
2.0%
47
 
2.0%
44
 
1.8%
43
 
1.8%
Other values (293) 1549
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2003
84.1%
Open Punctuation 142
 
6.0%
Close Punctuation 142
 
6.0%
Space Separator 47
 
2.0%
Uppercase Letter 27
 
1.1%
Decimal Number 12
 
0.5%
Other Punctuation 8
 
0.3%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
184
 
9.2%
83
 
4.1%
51
 
2.5%
50
 
2.5%
47
 
2.3%
44
 
2.2%
43
 
2.1%
41
 
2.0%
40
 
2.0%
31
 
1.5%
Other values (266) 1389
69.3%
Uppercase Letter
ValueCountFrequency (%)
E 3
11.1%
S 3
11.1%
H 3
11.1%
C 3
11.1%
T 2
 
7.4%
M 2
 
7.4%
F 2
 
7.4%
D 1
 
3.7%
K 1
 
3.7%
B 1
 
3.7%
Other values (6) 6
22.2%
Decimal Number
ValueCountFrequency (%)
2 6
50.0%
1 2
 
16.7%
3 2
 
16.7%
5 1
 
8.3%
7 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
& 4
50.0%
. 4
50.0%
Open Punctuation
ValueCountFrequency (%)
( 142
100.0%
Close Punctuation
ValueCountFrequency (%)
) 142
100.0%
Space Separator
ValueCountFrequency (%)
47
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2004
84.1%
Common 351
 
14.7%
Latin 27
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
184
 
9.2%
83
 
4.1%
51
 
2.5%
50
 
2.5%
47
 
2.3%
44
 
2.2%
43
 
2.1%
41
 
2.0%
40
 
2.0%
31
 
1.5%
Other values (267) 1390
69.4%
Latin
ValueCountFrequency (%)
E 3
11.1%
S 3
11.1%
H 3
11.1%
C 3
11.1%
T 2
 
7.4%
M 2
 
7.4%
F 2
 
7.4%
D 1
 
3.7%
K 1
 
3.7%
B 1
 
3.7%
Other values (6) 6
22.2%
Common
ValueCountFrequency (%)
( 142
40.5%
) 142
40.5%
47
 
13.4%
2 6
 
1.7%
& 4
 
1.1%
. 4
 
1.1%
1 2
 
0.6%
3 2
 
0.6%
5 1
 
0.3%
7 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2003
84.1%
ASCII 378
 
15.9%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
184
 
9.2%
83
 
4.1%
51
 
2.5%
50
 
2.5%
47
 
2.3%
44
 
2.2%
43
 
2.1%
41
 
2.0%
40
 
2.0%
31
 
1.5%
Other values (266) 1389
69.3%
ASCII
ValueCountFrequency (%)
( 142
37.6%
) 142
37.6%
47
 
12.4%
2 6
 
1.6%
& 4
 
1.1%
. 4
 
1.1%
E 3
 
0.8%
S 3
 
0.8%
H 3
 
0.8%
C 3
 
0.8%
Other values (16) 21
 
5.6%
None
ValueCountFrequency (%)
1
100.0%
Distinct324
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-11T02:15:39.065244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.0885714
Min length2

Characters and Unicode

Total characters1081
Distinct characters164
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique302 ?
Unique (%)86.3%

Sample

1st row최윤창
2nd row전승옥
3rd row전은주
4th row권동주
5th row김태곤
ValueCountFrequency (%)
변준석 5
 
1.4%
배기일 3
 
0.8%
김영옥 2
 
0.6%
문순애 2
 
0.6%
1명 2
 
0.6%
정성국 2
 
0.6%
이영임 2
 
0.6%
주석근 2
 
0.6%
김영희 2
 
0.6%
박성백 2
 
0.6%
Other values (319) 333
93.3%
2023-12-11T02:15:39.880681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
74
 
6.8%
54
 
5.0%
42
 
3.9%
36
 
3.3%
31
 
2.9%
21
 
1.9%
21
 
1.9%
20
 
1.9%
18
 
1.7%
17
 
1.6%
Other values (154) 747
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1066
98.6%
Space Separator 7
 
0.6%
Other Punctuation 4
 
0.4%
Decimal Number 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
74
 
6.9%
54
 
5.1%
42
 
3.9%
36
 
3.4%
31
 
2.9%
21
 
2.0%
21
 
2.0%
20
 
1.9%
18
 
1.7%
17
 
1.6%
Other values (150) 732
68.7%
Decimal Number
ValueCountFrequency (%)
1 3
75.0%
2 1
 
25.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1066
98.6%
Common 15
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
74
 
6.9%
54
 
5.1%
42
 
3.9%
36
 
3.4%
31
 
2.9%
21
 
2.0%
21
 
2.0%
20
 
1.9%
18
 
1.7%
17
 
1.6%
Other values (150) 732
68.7%
Common
ValueCountFrequency (%)
7
46.7%
, 4
26.7%
1 3
20.0%
2 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1066
98.6%
ASCII 15
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
74
 
6.9%
54
 
5.1%
42
 
3.9%
36
 
3.4%
31
 
2.9%
21
 
2.0%
21
 
2.0%
20
 
1.9%
18
 
1.7%
17
 
1.6%
Other values (150) 732
68.7%
ASCII
ValueCountFrequency (%)
7
46.7%
, 4
26.7%
1 3
20.0%
2 1
 
6.7%
Distinct332
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-11T02:15:40.322633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length44
Mean length29.631429
Min length18

Characters and Unicode

Total characters10371
Distinct characters219
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique315 ?
Unique (%)90.0%

Sample

1st row부산광역시 금정구 공단동로41번길 10, 보림팩토피아 407호~411호 (금사동)
2nd row부산광역시 금정구 삼어로 219 (금사동)
3rd row부산광역시 금정구 공단서로8번길 16 (금사동) 2층
4th row부산광역시 금정구 공단동로55번길 9 (금사동)
5th row부산광역시 금정구 범어천로 7-8 (남산동)
ValueCountFrequency (%)
부산광역시 350
 
17.1%
금정구 350
 
17.1%
금사동 157
 
7.7%
회동동 94
 
4.6%
개좌로 53
 
2.6%
부곡동 26
 
1.3%
2층 24
 
1.2%
서동 23
 
1.1%
남산동 23
 
1.1%
공단동로41번길 22
 
1.1%
Other values (455) 928
45.3%
2023-12-11T02:15:40.999469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1700
 
16.4%
553
 
5.3%
550
 
5.3%
422
 
4.1%
413
 
4.0%
( 388
 
3.7%
) 388
 
3.7%
365
 
3.5%
364
 
3.5%
357
 
3.4%
Other values (209) 4871
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6195
59.7%
Space Separator 1700
 
16.4%
Decimal Number 1395
 
13.5%
Open Punctuation 388
 
3.7%
Close Punctuation 388
 
3.7%
Other Punctuation 207
 
2.0%
Dash Punctuation 85
 
0.8%
Uppercase Letter 10
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
553
 
8.9%
550
 
8.9%
422
 
6.8%
413
 
6.7%
365
 
5.9%
364
 
5.9%
357
 
5.8%
353
 
5.7%
350
 
5.6%
348
 
5.6%
Other values (187) 2120
34.2%
Decimal Number
ValueCountFrequency (%)
1 308
22.1%
2 215
15.4%
4 139
10.0%
6 138
9.9%
0 129
9.2%
3 108
 
7.7%
5 101
 
7.2%
7 96
 
6.9%
8 82
 
5.9%
9 79
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
B 4
40.0%
I 2
20.0%
C 1
 
10.0%
T 1
 
10.0%
N 1
 
10.0%
F 1
 
10.0%
Space Separator
ValueCountFrequency (%)
1700
100.0%
Open Punctuation
ValueCountFrequency (%)
( 388
100.0%
Close Punctuation
ValueCountFrequency (%)
) 388
100.0%
Other Punctuation
ValueCountFrequency (%)
, 207
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 85
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6195
59.7%
Common 4166
40.2%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
553
 
8.9%
550
 
8.9%
422
 
6.8%
413
 
6.7%
365
 
5.9%
364
 
5.9%
357
 
5.8%
353
 
5.7%
350
 
5.6%
348
 
5.6%
Other values (187) 2120
34.2%
Common
ValueCountFrequency (%)
1700
40.8%
( 388
 
9.3%
) 388
 
9.3%
1 308
 
7.4%
2 215
 
5.2%
, 207
 
5.0%
4 139
 
3.3%
6 138
 
3.3%
0 129
 
3.1%
3 108
 
2.6%
Other values (6) 446
 
10.7%
Latin
ValueCountFrequency (%)
B 4
40.0%
I 2
20.0%
C 1
 
10.0%
T 1
 
10.0%
N 1
 
10.0%
F 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6195
59.7%
ASCII 4176
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1700
40.7%
( 388
 
9.3%
) 388
 
9.3%
1 308
 
7.4%
2 215
 
5.1%
, 207
 
5.0%
4 139
 
3.3%
6 138
 
3.3%
0 129
 
3.1%
3 108
 
2.6%
Other values (12) 456
 
10.9%
Hangul
ValueCountFrequency (%)
553
 
8.9%
550
 
8.9%
422
 
6.8%
413
 
6.7%
365
 
5.9%
364
 
5.9%
357
 
5.8%
353
 
5.7%
350
 
5.6%
348
 
5.6%
Other values (187) 2120
34.2%
Distinct313
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-11T02:15:41.415894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length23
Mean length7.98
Min length2

Characters and Unicode

Total characters2793
Distinct characters371
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

Unique301 ?
Unique (%)86.0%

Sample

1st row자동차부품
2nd row간판 및 광고물
3rd row의류
4th row포장육,양념육
5th row간판
ValueCountFrequency (%)
의류 21
 
3.8%
18
 
3.3%
자동차부품 13
 
2.4%
11
 
2.0%
간판 6
 
1.1%
근무복 6
 
1.1%
금형 5
 
0.9%
부품 5
 
0.9%
광고물 5
 
0.9%
작업복 5
 
0.9%
Other values (412) 453
82.7%
2023-12-11T02:15:42.149108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
198
 
7.1%
, 171
 
6.1%
96
 
3.4%
66
 
2.4%
63
 
2.3%
56
 
2.0%
50
 
1.8%
48
 
1.7%
45
 
1.6%
41
 
1.5%
Other values (361) 1959
70.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2272
81.3%
Space Separator 198
 
7.1%
Other Punctuation 179
 
6.4%
Uppercase Letter 77
 
2.8%
Close Punctuation 24
 
0.9%
Open Punctuation 24
 
0.9%
Decimal Number 9
 
0.3%
Lowercase Letter 6
 
0.2%
Dash Punctuation 2
 
0.1%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
96
 
4.2%
66
 
2.9%
63
 
2.8%
56
 
2.5%
50
 
2.2%
48
 
2.1%
45
 
2.0%
41
 
1.8%
41
 
1.8%
36
 
1.6%
Other values (328) 1730
76.1%
Uppercase Letter
ValueCountFrequency (%)
C 16
20.8%
V 9
11.7%
P 9
11.7%
D 8
10.4%
T 8
10.4%
E 7
9.1%
L 5
 
6.5%
S 4
 
5.2%
A 4
 
5.2%
R 3
 
3.9%
Other values (4) 4
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
g 1
16.7%
a 1
16.7%
b 1
16.7%
c 1
16.7%
p 1
16.7%
v 1
16.7%
Decimal Number
ValueCountFrequency (%)
3 3
33.3%
1 2
22.2%
4 2
22.2%
2 1
 
11.1%
6 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 171
95.5%
. 7
 
3.9%
/ 1
 
0.6%
Space Separator
ValueCountFrequency (%)
198
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
= 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2272
81.3%
Common 438
 
15.7%
Latin 83
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
96
 
4.2%
66
 
2.9%
63
 
2.8%
56
 
2.5%
50
 
2.2%
48
 
2.1%
45
 
2.0%
41
 
1.8%
41
 
1.8%
36
 
1.6%
Other values (328) 1730
76.1%
Latin
ValueCountFrequency (%)
C 16
19.3%
V 9
10.8%
P 9
10.8%
D 8
9.6%
T 8
9.6%
E 7
8.4%
L 5
 
6.0%
S 4
 
4.8%
A 4
 
4.8%
R 3
 
3.6%
Other values (10) 10
12.0%
Common
ValueCountFrequency (%)
198
45.2%
, 171
39.0%
) 24
 
5.5%
( 24
 
5.5%
. 7
 
1.6%
3 3
 
0.7%
1 2
 
0.5%
- 2
 
0.5%
= 2
 
0.5%
4 2
 
0.5%
Other values (3) 3
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2272
81.3%
ASCII 521
 
18.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
198
38.0%
, 171
32.8%
) 24
 
4.6%
( 24
 
4.6%
C 16
 
3.1%
V 9
 
1.7%
P 9
 
1.7%
D 8
 
1.5%
T 8
 
1.5%
. 7
 
1.3%
Other values (23) 47
 
9.0%
Hangul
ValueCountFrequency (%)
96
 
4.2%
66
 
2.9%
63
 
2.8%
56
 
2.5%
50
 
2.2%
48
 
2.1%
45
 
2.0%
41
 
1.8%
41
 
1.8%
36
 
1.6%
Other values (328) 1730
76.1%
Distinct247
Distinct (%)70.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-11T02:15:42.698112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length24
Mean length17.357143
Min length5

Characters and Unicode

Total characters6075
Distinct characters249
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique189 ?
Unique (%)54.0%

Sample

1st row자동차 엔진용 신품 부품 제조업 외 13 종
2nd row간판 및 광고물 제조업 외 3 종
3rd row남자용 겉옷 제조업 외 1 종
4th row가금류 가공 및 저장 처리업 외 2 종
5th row간판 및 광고물 제조업
ValueCountFrequency (%)
제조업 322
 
15.8%
237
 
11.6%
193
 
9.5%
140
 
6.9%
기타 89
 
4.4%
1 79
 
3.9%
44
 
2.2%
신품 21
 
1.0%
부품 20
 
1.0%
2 20
 
1.0%
Other values (303) 875
42.9%
2023-12-11T02:15:43.507544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1690
27.8%
415
 
6.8%
366
 
6.0%
348
 
5.7%
237
 
3.9%
194
 
3.2%
189
 
3.1%
140
 
2.3%
128
 
2.1%
1 101
 
1.7%
Other values (239) 2267
37.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4134
68.0%
Space Separator 1690
27.8%
Decimal Number 218
 
3.6%
Other Punctuation 33
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
415
 
10.0%
366
 
8.9%
348
 
8.4%
237
 
5.7%
194
 
4.7%
189
 
4.6%
140
 
3.4%
128
 
3.1%
94
 
2.3%
90
 
2.2%
Other values (227) 1933
46.8%
Decimal Number
ValueCountFrequency (%)
1 101
46.3%
2 27
 
12.4%
3 23
 
10.6%
4 20
 
9.2%
5 16
 
7.3%
7 11
 
5.0%
8 6
 
2.8%
9 6
 
2.8%
6 5
 
2.3%
0 3
 
1.4%
Space Separator
ValueCountFrequency (%)
1690
100.0%
Other Punctuation
ValueCountFrequency (%)
, 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4134
68.0%
Common 1941
32.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
415
 
10.0%
366
 
8.9%
348
 
8.4%
237
 
5.7%
194
 
4.7%
189
 
4.6%
140
 
3.4%
128
 
3.1%
94
 
2.3%
90
 
2.2%
Other values (227) 1933
46.8%
Common
ValueCountFrequency (%)
1690
87.1%
1 101
 
5.2%
, 33
 
1.7%
2 27
 
1.4%
3 23
 
1.2%
4 20
 
1.0%
5 16
 
0.8%
7 11
 
0.6%
8 6
 
0.3%
9 6
 
0.3%
Other values (2) 8
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4133
68.0%
ASCII 1941
32.0%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1690
87.1%
1 101
 
5.2%
, 33
 
1.7%
2 27
 
1.4%
3 23
 
1.2%
4 20
 
1.0%
5 16
 
0.8%
7 11
 
0.6%
8 6
 
0.3%
9 6
 
0.3%
Other values (2) 8
 
0.4%
Hangul
ValueCountFrequency (%)
415
 
10.0%
366
 
8.9%
348
 
8.4%
237
 
5.7%
194
 
4.7%
189
 
4.6%
140
 
3.4%
128
 
3.1%
94
 
2.3%
90
 
2.2%
Other values (226) 1932
46.7%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

Interactions

2023-12-11T02:15:35.959022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-11T02:15:36.708538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:15:36.886402image/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

순번회사명대표자명공장대표주소(도로명)생산품업종명
01(주)DH전장최윤창부산광역시 금정구 공단동로41번길 10, 보림팩토피아 407호~411호 (금사동)자동차부품자동차 엔진용 신품 부품 제조업 외 13 종
12(주)가람디자인전승옥부산광역시 금정구 삼어로 219 (금사동)간판 및 광고물간판 및 광고물 제조업 외 3 종
23(주)경동직물전은주부산광역시 금정구 공단서로8번길 16 (금사동) 2층의류남자용 겉옷 제조업 외 1 종
34(주)고려식품권동주부산광역시 금정구 공단동로55번길 9 (금사동)포장육,양념육가금류 가공 및 저장 처리업 외 2 종
45(주)광전애드후렘김태곤부산광역시 금정구 범어천로 7-8 (남산동)간판간판 및 광고물 제조업
56(주)그린라이브정대호부산광역시 금정구 공단동로41번길 10, B1층 103 (금사동)칫솔비 및 솔 제조업
67(주)금강부러쉬김민채부산광역시 금정구 수원지로22번길 26 (회동동, 금강부러쉬)부라쉬일반철물 제조업
78(주)금강제경유리예종일부산광역시 금정구 공단로 31 (금사동)거울,유리가공품안전유리 제조업 외 6 종
89(주)금강제경유리예종일부산광역시 금정구 공단서로18번길 22 (금사동)강화유리안전유리 제조업 외 1 종
910(주)금화스틸장정술부산광역시 금정구 개좌로272번길 21-12 (회동동)구조용금속판제품구조용 금속 판제품 및 공작물 제조업
순번회사명대표자명공장대표주소(도로명)생산품업종명
340341해창공업사이진걸부산광역시 금정구 개좌로 189-1 (회동동, 해창공업사)연사연사 및 가공사 제조업 외 1 종
341342해창정밀(주)이명근부산광역시 금정구 회천로 53-6 (회동동, 해창정밀)금형주형 및 금형 제조업
342343향유이엔지 주식회사정원섭부산광역시 금정구 금강로541번길 22, 3층 (구서동)자동제어반배전반 및 전기 자동제어반 제조업
343344현대금속구자천부산광역시 금정구 공단로 68-18 (금사동)단열창호, 방화문금속 문, 창, 셔터 및 관련제품 제조업 외 2 종
344345현대텍크(주)민양규부산광역시 금정구 공단동로29번길 47 (금사동)부스바, 도금물도금업 외 1 종
345346현진공업사박상철부산광역시 금정구 동천로7번길 48-14 (회동동)자동차부품자동차 차체용 신품 부품 제조업 외 1 종
346347협창산업사김의웅부산광역시 금정구 개좌로 91 (금사동, 협창산업사)신발밑창신발 부분품 제조업
347348형제산업김영옥부산광역시 금정구 반송로 381, 지하1층 (서동)구명의, 의류기타 직물제품 제조업 외 9 종
348349홍부광고산업정계현부산광역시 금정구 부곡로 162-8 (부곡동)간판,LED채널,네온사인등간판 및 광고물 제조업 외 1 종
349350훈성산업사이영우부산광역시 금정구 공단로49번길 14 (금사동)플라스틱접시포장용 플라스틱 성형용기 제조업