Overview

Dataset statistics

Number of variables7
Number of observations231
Missing cells243
Missing cells (%)15.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.2 KiB
Average record size in memory58.6 B

Variable types

Numeric1
Text5
Unsupported1

Dataset

Description부산광역시 해운대구의 공장등록 현황 입니다. 부산광역시 해운대구 관내 공장의 상호 및 소재지 주소 등에 대한 정보를 제공합니다.
Author부산광역시 해운대구
URLhttps://www.data.go.kr/data/3075338/fileData.do

Alerts

연락처 has 12 (5.2%) missing valuesMissing
팩스번호 has 231 (100.0%) missing valuesMissing
연번 has unique valuesUnique
팩스번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 04:06:00.157731
Analysis finished2023-12-12 04:06:01.135259
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct231
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116
Minimum1
Maximum231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T13:06:01.231712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.5
Q158.5
median116
Q3173.5
95-th percentile219.5
Maximum231
Range230
Interquartile range (IQR)115

Descriptive statistics

Standard deviation66.828138
Coefficient of variation (CV)0.57610464
Kurtosis-1.2
Mean116
Median Absolute Deviation (MAD)58
Skewness0
Sum26796
Variance4466
MonotonicityStrictly increasing
2023-12-12T13:06:01.449307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
160 1
 
0.4%
148 1
 
0.4%
149 1
 
0.4%
150 1
 
0.4%
151 1
 
0.4%
152 1
 
0.4%
153 1
 
0.4%
154 1
 
0.4%
155 1
 
0.4%
Other values (221) 221
95.7%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
231 1
0.4%
230 1
0.4%
229 1
0.4%
228 1
0.4%
227 1
0.4%
226 1
0.4%
225 1
0.4%
224 1
0.4%
223 1
0.4%
222 1
0.4%
Distinct227
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T13:06:01.837691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length7.4458874
Min length2

Characters and Unicode

Total characters1720
Distinct characters263
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique223 ?
Unique (%)96.5%

Sample

1st row(사복)영광직업재활원
2nd row(주)가가대소
3rd row(주)감성플랜
4th row(주)갭스앤디컴퍼니
5th row(주)국도섬유
ValueCountFrequency (%)
주식회사 11
 
4.3%
부산지점 3
 
1.2%
주)시화 2
 
0.8%
삼항led 2
 
0.8%
주)플러크 2
 
0.8%
주)한국유닉스 2
 
0.8%
오스템임플란트(주 2
 
0.8%
주)브이엠에스 2
 
0.8%
삼영몰드 1
 
0.4%
삼양상사 1
 
0.4%
Other values (227) 227
89.0%
2023-12-12T13:06:02.374370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
162
 
9.4%
( 153
 
8.9%
) 153
 
8.9%
67
 
3.9%
53
 
3.1%
49
 
2.8%
33
 
1.9%
32
 
1.9%
25
 
1.5%
22
 
1.3%
Other values (253) 971
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1346
78.3%
Open Punctuation 153
 
8.9%
Close Punctuation 153
 
8.9%
Space Separator 49
 
2.8%
Uppercase Letter 18
 
1.0%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
162
 
12.0%
67
 
5.0%
53
 
3.9%
33
 
2.5%
32
 
2.4%
25
 
1.9%
22
 
1.6%
21
 
1.6%
21
 
1.6%
20
 
1.5%
Other values (240) 890
66.1%
Uppercase Letter
ValueCountFrequency (%)
D 4
22.2%
C 3
16.7%
L 3
16.7%
E 3
16.7%
I 1
 
5.6%
K 1
 
5.6%
T 1
 
5.6%
S 1
 
5.6%
J 1
 
5.6%
Open Punctuation
ValueCountFrequency (%)
( 153
100.0%
Close Punctuation
ValueCountFrequency (%)
) 153
100.0%
Space Separator
ValueCountFrequency (%)
49
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1346
78.3%
Common 356
 
20.7%
Latin 18
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
162
 
12.0%
67
 
5.0%
53
 
3.9%
33
 
2.5%
32
 
2.4%
25
 
1.9%
22
 
1.6%
21
 
1.6%
21
 
1.6%
20
 
1.5%
Other values (240) 890
66.1%
Latin
ValueCountFrequency (%)
D 4
22.2%
C 3
16.7%
L 3
16.7%
E 3
16.7%
I 1
 
5.6%
K 1
 
5.6%
T 1
 
5.6%
S 1
 
5.6%
J 1
 
5.6%
Common
ValueCountFrequency (%)
( 153
43.0%
) 153
43.0%
49
 
13.8%
& 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1346
78.3%
ASCII 374
 
21.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
162
 
12.0%
67
 
5.0%
53
 
3.9%
33
 
2.5%
32
 
2.4%
25
 
1.9%
22
 
1.6%
21
 
1.6%
21
 
1.6%
20
 
1.5%
Other values (240) 890
66.1%
ASCII
ValueCountFrequency (%)
( 153
40.9%
) 153
40.9%
49
 
13.1%
D 4
 
1.1%
C 3
 
0.8%
L 3
 
0.8%
E 3
 
0.8%
I 1
 
0.3%
& 1
 
0.3%
K 1
 
0.3%
Other values (3) 3
 
0.8%
Distinct219
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T13:06:02.674609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length19
Mean length8.0692641
Min length2

Characters and Unicode

Total characters1864
Distinct characters297
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique212 ?
Unique (%)91.8%

Sample

1st row면장갑
2nd row코코아제품및과자류
3rd row조형물, 전시용 모형, 사인물
4th row경인쇄업
5th row잠바
ValueCountFrequency (%)
18
 
4.9%
18
 
4.9%
전자부품 8
 
2.2%
5
 
1.4%
제조 5
 
1.4%
자동측정 4
 
1.1%
컴퓨터 4
 
1.1%
제어장치 3
 
0.8%
조명기구 3
 
0.8%
led조명 3
 
0.8%
Other values (278) 298
80.8%
2023-12-12T13:06:03.150697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
150
 
8.0%
111
 
6.0%
62
 
3.3%
, 61
 
3.3%
50
 
2.7%
46
 
2.5%
42
 
2.3%
36
 
1.9%
32
 
1.7%
28
 
1.5%
Other values (287) 1246
66.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1554
83.4%
Space Separator 150
 
8.0%
Other Punctuation 64
 
3.4%
Uppercase Letter 43
 
2.3%
Lowercase Letter 42
 
2.3%
Decimal Number 5
 
0.3%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
111
 
7.1%
62
 
4.0%
50
 
3.2%
46
 
3.0%
42
 
2.7%
36
 
2.3%
32
 
2.1%
28
 
1.8%
26
 
1.7%
26
 
1.7%
Other values (249) 1095
70.5%
Lowercase Letter
ValueCountFrequency (%)
e 6
14.3%
t 6
14.3%
s 4
9.5%
c 4
9.5%
l 3
7.1%
v 3
7.1%
o 3
7.1%
y 2
 
4.8%
m 2
 
4.8%
d 2
 
4.8%
Other values (6) 7
16.7%
Uppercase Letter
ValueCountFrequency (%)
L 10
23.3%
D 8
18.6%
E 8
18.6%
C 6
14.0%
P 2
 
4.7%
T 2
 
4.7%
R 1
 
2.3%
V 1
 
2.3%
A 1
 
2.3%
N 1
 
2.3%
Other values (3) 3
 
7.0%
Other Punctuation
ValueCountFrequency (%)
, 61
95.3%
/ 3
 
4.7%
Decimal Number
ValueCountFrequency (%)
1 4
80.0%
6 1
 
20.0%
Close Punctuation
ValueCountFrequency (%)
) 2
66.7%
] 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 2
66.7%
[ 1
33.3%
Space Separator
ValueCountFrequency (%)
150
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1554
83.4%
Common 225
 
12.1%
Latin 85
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
111
 
7.1%
62
 
4.0%
50
 
3.2%
46
 
3.0%
42
 
2.7%
36
 
2.3%
32
 
2.1%
28
 
1.8%
26
 
1.7%
26
 
1.7%
Other values (249) 1095
70.5%
Latin
ValueCountFrequency (%)
L 10
 
11.8%
D 8
 
9.4%
E 8
 
9.4%
C 6
 
7.1%
e 6
 
7.1%
t 6
 
7.1%
s 4
 
4.7%
c 4
 
4.7%
l 3
 
3.5%
v 3
 
3.5%
Other values (19) 27
31.8%
Common
ValueCountFrequency (%)
150
66.7%
, 61
27.1%
1 4
 
1.8%
/ 3
 
1.3%
) 2
 
0.9%
( 2
 
0.9%
6 1
 
0.4%
] 1
 
0.4%
[ 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1554
83.4%
ASCII 310
 
16.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
150
48.4%
, 61
19.7%
L 10
 
3.2%
D 8
 
2.6%
E 8
 
2.6%
C 6
 
1.9%
e 6
 
1.9%
t 6
 
1.9%
1 4
 
1.3%
s 4
 
1.3%
Other values (28) 47
 
15.2%
Hangul
ValueCountFrequency (%)
111
 
7.1%
62
 
4.0%
50
 
3.2%
46
 
3.0%
42
 
2.7%
36
 
2.3%
32
 
2.1%
28
 
1.8%
26
 
1.7%
26
 
1.7%
Other values (249) 1095
70.5%
Distinct219
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T13:06:03.448700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length19
Mean length8.0692641
Min length2

Characters and Unicode

Total characters1864
Distinct characters297
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique212 ?
Unique (%)91.8%

Sample

1st row면장갑
2nd row코코아제품및과자류
3rd row조형물, 전시용 모형, 사인물
4th row경인쇄업
5th row잠바
ValueCountFrequency (%)
18
 
4.9%
18
 
4.9%
전자부품 8
 
2.2%
5
 
1.4%
제조 5
 
1.4%
자동측정 4
 
1.1%
컴퓨터 4
 
1.1%
제어장치 3
 
0.8%
조명기구 3
 
0.8%
led조명 3
 
0.8%
Other values (278) 298
80.8%
2023-12-12T13:06:04.011919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
150
 
8.0%
111
 
6.0%
62
 
3.3%
, 61
 
3.3%
50
 
2.7%
46
 
2.5%
42
 
2.3%
36
 
1.9%
32
 
1.7%
28
 
1.5%
Other values (287) 1246
66.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1554
83.4%
Space Separator 150
 
8.0%
Other Punctuation 64
 
3.4%
Uppercase Letter 43
 
2.3%
Lowercase Letter 42
 
2.3%
Decimal Number 5
 
0.3%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
111
 
7.1%
62
 
4.0%
50
 
3.2%
46
 
3.0%
42
 
2.7%
36
 
2.3%
32
 
2.1%
28
 
1.8%
26
 
1.7%
26
 
1.7%
Other values (249) 1095
70.5%
Lowercase Letter
ValueCountFrequency (%)
e 6
14.3%
t 6
14.3%
s 4
9.5%
c 4
9.5%
l 3
7.1%
v 3
7.1%
o 3
7.1%
y 2
 
4.8%
m 2
 
4.8%
d 2
 
4.8%
Other values (6) 7
16.7%
Uppercase Letter
ValueCountFrequency (%)
L 10
23.3%
D 8
18.6%
E 8
18.6%
C 6
14.0%
P 2
 
4.7%
T 2
 
4.7%
R 1
 
2.3%
V 1
 
2.3%
A 1
 
2.3%
N 1
 
2.3%
Other values (3) 3
 
7.0%
Other Punctuation
ValueCountFrequency (%)
, 61
95.3%
/ 3
 
4.7%
Decimal Number
ValueCountFrequency (%)
1 4
80.0%
6 1
 
20.0%
Close Punctuation
ValueCountFrequency (%)
) 2
66.7%
] 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 2
66.7%
[ 1
33.3%
Space Separator
ValueCountFrequency (%)
150
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1554
83.4%
Common 225
 
12.1%
Latin 85
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
111
 
7.1%
62
 
4.0%
50
 
3.2%
46
 
3.0%
42
 
2.7%
36
 
2.3%
32
 
2.1%
28
 
1.8%
26
 
1.7%
26
 
1.7%
Other values (249) 1095
70.5%
Latin
ValueCountFrequency (%)
L 10
 
11.8%
D 8
 
9.4%
E 8
 
9.4%
C 6
 
7.1%
e 6
 
7.1%
t 6
 
7.1%
s 4
 
4.7%
c 4
 
4.7%
l 3
 
3.5%
v 3
 
3.5%
Other values (19) 27
31.8%
Common
ValueCountFrequency (%)
150
66.7%
, 61
27.1%
1 4
 
1.8%
/ 3
 
1.3%
) 2
 
0.9%
( 2
 
0.9%
6 1
 
0.4%
] 1
 
0.4%
[ 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1554
83.4%
ASCII 310
 
16.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
150
48.4%
, 61
19.7%
L 10
 
3.2%
D 8
 
2.6%
E 8
 
2.6%
C 6
 
1.9%
e 6
 
1.9%
t 6
 
1.9%
1 4
 
1.3%
s 4
 
1.3%
Other values (28) 47
 
15.2%
Hangul
ValueCountFrequency (%)
111
 
7.1%
62
 
4.0%
50
 
3.2%
46
 
3.0%
42
 
2.7%
36
 
2.3%
32
 
2.1%
28
 
1.8%
26
 
1.7%
26
 
1.7%
Other values (249) 1095
70.5%
Distinct223
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T13:06:04.437448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length60
Mean length38.852814
Min length23

Characters and Unicode

Total characters8975
Distinct characters174
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

Unique215 ?
Unique (%)93.1%

Sample

1st row부산광역시 해운대구 삼어로91번길 11 (반여동)
2nd row부산광역시 해운대구 우동3로11번길 28, 2층 (우동)
3rd row부산광역시 해운대구 센텀중앙로 78, 12층 1205 (우동, 센텀그린타워(CENTUM GREEN TOWER))
4th row부산광역시 해운대구 센텀중앙로 66, 801호 (태아티타워) (우동)
5th row부산광역시 해운대구 선수촌로 137 (반여동)
ValueCountFrequency (%)
부산광역시 231
 
13.8%
해운대구 231
 
13.8%
재송동 91
 
5.5%
우동 54
 
3.2%
센텀중앙로 52
 
3.1%
석대동 38
 
2.3%
60 29
 
1.7%
센텀동로 28
 
1.7%
반여동 28
 
1.7%
센텀북대로 26
 
1.6%
Other values (380) 860
51.6%
2023-12-12T13:06:05.003702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1463
 
16.3%
1 330
 
3.7%
315
 
3.5%
, 301
 
3.4%
296
 
3.3%
259
 
2.9%
) 248
 
2.8%
( 248
 
2.8%
244
 
2.7%
244
 
2.7%
Other values (164) 5027
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4853
54.1%
Decimal Number 1584
 
17.6%
Space Separator 1463
 
16.3%
Other Punctuation 301
 
3.4%
Close Punctuation 248
 
2.8%
Open Punctuation 248
 
2.8%
Uppercase Letter 201
 
2.2%
Dash Punctuation 49
 
0.5%
Lowercase Letter 21
 
0.2%
Math Symbol 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
315
 
6.5%
296
 
6.1%
259
 
5.3%
244
 
5.0%
244
 
5.0%
233
 
4.8%
233
 
4.8%
232
 
4.8%
232
 
4.8%
231
 
4.8%
Other values (126) 2334
48.1%
Uppercase Letter
ValueCountFrequency (%)
E 32
15.9%
N 28
13.9%
B 27
13.4%
A 21
10.4%
T 16
8.0%
R 16
8.0%
O 9
 
4.5%
W 8
 
4.0%
G 8
 
4.0%
M 8
 
4.0%
Other values (7) 28
13.9%
Decimal Number
ValueCountFrequency (%)
1 330
20.8%
0 221
14.0%
2 159
10.0%
6 158
10.0%
3 146
9.2%
5 144
9.1%
7 131
 
8.3%
9 115
 
7.3%
4 103
 
6.5%
8 77
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
e 15
71.4%
s 2
 
9.5%
n 2
 
9.5%
b 1
 
4.8%
i 1
 
4.8%
Space Separator
ValueCountFrequency (%)
1463
100.0%
Other Punctuation
ValueCountFrequency (%)
, 301
100.0%
Close Punctuation
ValueCountFrequency (%)
) 248
100.0%
Open Punctuation
ValueCountFrequency (%)
( 248
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4853
54.1%
Common 3900
43.5%
Latin 222
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
315
 
6.5%
296
 
6.1%
259
 
5.3%
244
 
5.0%
244
 
5.0%
233
 
4.8%
233
 
4.8%
232
 
4.8%
232
 
4.8%
231
 
4.8%
Other values (126) 2334
48.1%
Latin
ValueCountFrequency (%)
E 32
14.4%
N 28
12.6%
B 27
12.2%
A 21
9.5%
T 16
 
7.2%
R 16
 
7.2%
e 15
 
6.8%
O 9
 
4.1%
W 8
 
3.6%
G 8
 
3.6%
Other values (12) 42
18.9%
Common
ValueCountFrequency (%)
1463
37.5%
1 330
 
8.5%
, 301
 
7.7%
) 248
 
6.4%
( 248
 
6.4%
0 221
 
5.7%
2 159
 
4.1%
6 158
 
4.1%
3 146
 
3.7%
5 144
 
3.7%
Other values (6) 482
 
12.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4853
54.1%
ASCII 4122
45.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1463
35.5%
1 330
 
8.0%
, 301
 
7.3%
) 248
 
6.0%
( 248
 
6.0%
0 221
 
5.4%
2 159
 
3.9%
6 158
 
3.8%
3 146
 
3.5%
5 144
 
3.5%
Other values (28) 704
17.1%
Hangul
ValueCountFrequency (%)
315
 
6.5%
296
 
6.1%
259
 
5.3%
244
 
5.0%
244
 
5.0%
233
 
4.8%
233
 
4.8%
232
 
4.8%
232
 
4.8%
231
 
4.8%
Other values (126) 2334
48.1%

연락처
Text

MISSING 

Distinct212
Distinct (%)96.8%
Missing12
Missing (%)5.2%
Memory size1.9 KiB
2023-12-12T13:06:05.362084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2628
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

Unique205 ?
Unique (%)93.6%

Sample

1st row_051_5235421
2nd row_051_9136884
3rd row_051_7469055
4th row_051_9119890
5th row_051_5246001
ValueCountFrequency (%)
051_7822360 2
 
0.9%
051_7818735 2
 
0.9%
051_6346331 2
 
0.9%
2
 
0.9%
051_8502510 2
 
0.9%
07086569010 2
 
0.9%
051_5258535 2
 
0.9%
15883809 2
 
0.9%
051_5235421 1
 
0.5%
051_7595252 1
 
0.5%
Other values (201) 201
91.8%
2023-12-12T13:06:05.842568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
_ 453
17.2%
0 429
16.3%
5 367
14.0%
1 362
13.8%
7 198
7.5%
2 166
 
6.3%
3 160
 
6.1%
8 158
 
6.0%
4 121
 
4.6%
6 109
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2175
82.8%
Connector Punctuation 453
 
17.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 429
19.7%
5 367
16.9%
1 362
16.6%
7 198
9.1%
2 166
 
7.6%
3 160
 
7.4%
8 158
 
7.3%
4 121
 
5.6%
6 109
 
5.0%
9 105
 
4.8%
Connector Punctuation
ValueCountFrequency (%)
_ 453
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2628
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
_ 453
17.2%
0 429
16.3%
5 367
14.0%
1 362
13.8%
7 198
7.5%
2 166
 
6.3%
3 160
 
6.1%
8 158
 
6.0%
4 121
 
4.6%
6 109
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2628
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
_ 453
17.2%
0 429
16.3%
5 367
14.0%
1 362
13.8%
7 198
7.5%
2 166
 
6.3%
3 160
 
6.1%
8 158
 
6.0%
4 121
 
4.6%
6 109
 
4.1%

팩스번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing231
Missing (%)100.0%
Memory size2.2 KiB

Interactions

2023-12-12T13:06:00.754239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T13:06:00.900956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:06:01.073212image/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

연번업체명대표 업종생산품소재지연락처팩스번호
01(사복)영광직업재활원면장갑면장갑부산광역시 해운대구 삼어로91번길 11 (반여동)_051_5235421<NA>
12(주)가가대소코코아제품및과자류코코아제품및과자류부산광역시 해운대구 우동3로11번길 28, 2층 (우동)_051_9136884<NA>
23(주)감성플랜조형물, 전시용 모형, 사인물조형물, 전시용 모형, 사인물부산광역시 해운대구 센텀중앙로 78, 12층 1205 (우동, 센텀그린타워(CENTUM GREEN TOWER))_051_7469055<NA>
34(주)갭스앤디컴퍼니경인쇄업경인쇄업부산광역시 해운대구 센텀중앙로 66, 801호 (태아티타워) (우동)_051_9119890<NA>
45(주)국도섬유잠바잠바부산광역시 해운대구 선수촌로 137 (반여동)_051_5246001<NA>
56(주)그린테크아이앤씨물질검사,측정및분석기구제조물질검사,측정및분석기구제조부산광역시 해운대구 센텀중앙로 97, A동 13층 1308 (재송동, 센텀스카이비즈), B3층B308_051_5280578<NA>
67(주)글로벌엔씨전자기전자기부산광역시 해운대구 센텀북대로 60, B4층 405 (재송동, 센텀 아이에스타워)_051_8644441<NA>
78(주)금양이앤에스유선통신장비 등유선통신장비 등부산광역시 해운대구 센텀중앙로 78, 21층 2103 (우동, 센텀그린타워(CENTUM GREEN TOWER)), B1층B101_051_6427803<NA>
89(주)기수정밀클러치, 무단변속기클러치, 무단변속기부산광역시 해운대구 반송로513번길 66-48 (석대동)_051_7289913<NA>
910(주)네스아이CCTV 외CCTV 외부산광역시 해운대구 해운대로61번가길 6, 상가동 302호 (재송동, 재송삼익아파트)_051_8539799<NA>
연번업체명대표 업종생산품소재지연락처팩스번호
221222하이투젠기타봉재의복기타봉재의복부산광역시 해운대구 재반로112번길 9, 지하1층 (재송동, 법률사무소)____________<NA>
222223한국베로(주)감광센서감광센서부산광역시 해운대구 센텀중앙로 48, 17층 1711 (우동)_051_6215981<NA>
223224한국산전(주)지점프로그램콘트롤러제작프로그램콘트롤러제작부산광역시 해운대구 반송로525번길 53 (석대동)_051_5233258<NA>
224225한국샌드빅(주)기타 엔지니어링서비스업기타 엔지니어링서비스업부산광역시 해운대구 센텀중앙로 78, 19층 1904~5 (우동, 센텀그린타워(CENTUM GREEN TOWER))_051_7435811<NA>
225226한국솔빗단열커버단열커버부산광역시 해운대구 삼어로 180 (반여동)_051_7280521<NA>
226227한독메디칼의료용기기의료용기기부산광역시 해운대구 센텀동로 99, 4층 401 (재송동, 벽산e센텀클래스원)_051_8167085<NA>
227228한일전기변압기, ct변압기, ct부산광역시 해운대구 해운대로177번길 16 (재송동)_051_8048700<NA>
228229해창정밀플라스틱사출금형플라스틱사출금형부산광역시 해운대구 반송로513번길 66-34 (석대동)_051_5272095<NA>
229230화인산업플라스틱 창호플라스틱 창호부산광역시 해운대구 반송로 589 (석대동)_051_7553534<NA>
230231화인전자무선통신기기 제조무선통신기기 제조부산광역시 해운대구 센텀동로 35, 3층 5 (우동, 센텀SH밸리)_051_7828107<NA>