Overview

Dataset statistics

Number of variables7
Number of observations213
Missing cells228
Missing cells (%)15.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.2 KiB
Average record size in memory58.6 B

Variable types

Numeric1
Text5
Unsupported1

Dataset

Description부산광역시남구_공장등록현황_20210823
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15022991

Alerts

전화번호 has 15 (7.0%) missing valuesMissing
비고 has 213 (100.0%) missing valuesMissing
순번 has unique valuesUnique
비고 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 16:18:28.665611
Analysis finished2023-12-10 16:18:29.605863
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107
Minimum1
Maximum213
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T01:18:29.739112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.6
Q154
median107
Q3160
95-th percentile202.4
Maximum213
Range212
Interquartile range (IQR)106

Descriptive statistics

Standard deviation61.631972
Coefficient of variation (CV)0.57599974
Kurtosis-1.2
Mean107
Median Absolute Deviation (MAD)53
Skewness0
Sum22791
Variance3798.5
MonotonicityStrictly increasing
2023-12-11T01:18:29.914487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
135 1
 
0.5%
137 1
 
0.5%
138 1
 
0.5%
139 1
 
0.5%
140 1
 
0.5%
141 1
 
0.5%
142 1
 
0.5%
143 1
 
0.5%
144 1
 
0.5%
Other values (203) 203
95.3%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
213 1
0.5%
212 1
0.5%
211 1
0.5%
210 1
0.5%
209 1
0.5%
208 1
0.5%
207 1
0.5%
206 1
0.5%
205 1
0.5%
204 1
0.5%

회사명
Text

Distinct208
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-11T01:18:30.623431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length6.8779343
Min length1

Characters and Unicode

Total characters1465
Distinct characters288
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

Unique203 ?
Unique (%)95.3%

Sample

1st row(유)피피지코리아
2nd row(주)겐츠 베이커리
3rd row(주)경양엔지니어링
4th row(주)광덕창호산업
5th row(주)광명생약
ValueCountFrequency (%)
주식회사 20
 
8.2%
주)인들디자인 2
 
0.8%
케이시스 2
 
0.8%
주)비앤에스컴 2
 
0.8%
주)인터오션 2
 
0.8%
주)화림제약 2
 
0.8%
씨오션전자주식회사 1
 
0.4%
아주디자인산업(주 1
 
0.4%
남부산지점 1
 
0.4%
아이언 1
 
0.4%
Other values (209) 209
86.0%
2023-12-11T01:18:31.228388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 117
 
8.0%
) 96
 
6.6%
( 96
 
6.6%
스 58
 
4.0%
이 48
 
3.3%
사 40
 
2.7%
30
 
2.0%
식 27
 
1.8%
회 25
 
1.7%
에 20
 
1.4%
Other values (278) 908
62.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1198
81.8%
Close Punctuation 96
 
6.6%
Open Punctuation 96
 
6.6%
Uppercase Letter 31
 
2.1%
Space Separator 30
 
2.0%
Lowercase Letter 10
 
0.7%
Other Punctuation 3
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 117
 
9.8%
스 58
 
4.8%
이 48
 
4.0%
사 40
 
3.3%
식 27
 
2.3%
회 25
 
2.1%
에 20
 
1.7%
지 19
 
1.6%
디 18
 
1.5%
어 18
 
1.5%
Other values (246) 808
67.4%
Uppercase Letter
ValueCountFrequency (%)
E 4
12.9%
D 3
 
9.7%
T 3
 
9.7%
C 2
 
6.5%
F 2
 
6.5%
N 2
 
6.5%
P 2
 
6.5%
B 2
 
6.5%
U 2
 
6.5%
O 1
 
3.2%
Other values (8) 8
25.8%
Lowercase Letter
ValueCountFrequency (%)
e 2
20.0%
c 2
20.0%
i 1
10.0%
h 1
10.0%
o 1
10.0%
r 1
10.0%
n 1
10.0%
d 1
10.0%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
/ 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 96
100.0%
Open Punctuation
ValueCountFrequency (%)
( 96
100.0%
Space Separator
ValueCountFrequency (%)
30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1198
81.8%
Common 226
 
15.4%
Latin 41
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 117
 
9.8%
스 58
 
4.8%
이 48
 
4.0%
사 40
 
3.3%
식 27
 
2.3%
회 25
 
2.1%
에 20
 
1.7%
지 19
 
1.6%
디 18
 
1.5%
어 18
 
1.5%
Other values (246) 808
67.4%
Latin
ValueCountFrequency (%)
E 4
 
9.8%
D 3
 
7.3%
T 3
 
7.3%
C 2
 
4.9%
e 2
 
4.9%
c 2
 
4.9%
F 2
 
4.9%
N 2
 
4.9%
P 2
 
4.9%
B 2
 
4.9%
Other values (16) 17
41.5%
Common
ValueCountFrequency (%)
) 96
42.5%
( 96
42.5%
30
 
13.3%
& 2
 
0.9%
/ 1
 
0.4%
- 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1198
81.8%
ASCII 267
 
18.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 117
 
9.8%
스 58
 
4.8%
이 48
 
4.0%
사 40
 
3.3%
식 27
 
2.3%
회 25
 
2.1%
에 20
 
1.7%
지 19
 
1.6%
디 18
 
1.5%
어 18
 
1.5%
Other values (246) 808
67.4%
ASCII
ValueCountFrequency (%)
) 96
36.0%
( 96
36.0%
30
 
11.2%
E 4
 
1.5%
D 3
 
1.1%
T 3
 
1.1%
C 2
 
0.7%
e 2
 
0.7%
c 2
 
0.7%
F 2
 
0.7%
Other values (22) 27
 
10.1%

공장대표주소(도로명)
Text

Distinct197
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-11T01:18:31.526340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length44
Mean length31.859155
Min length19

Characters and Unicode

Total characters6786
Distinct characters201
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

Unique190 ?
Unique (%)89.2%

Sample

1st row부산광역시 남구 신선로356번길 21 (용당동)
2nd row부산광역시 남구 용호로159번길 94, B1층 103~107호 (용호동)
3rd row부산광역시 남구 신선로 217-10 (감만동)
4th row부산광역시 남구 수영로325번길 159-38 (대연동)
5th row부산광역시 남구 용호로159번길 94 (용호동, .)
ValueCountFrequency (%)
부산광역시 213
 
15.8%
남구 213
 
15.8%
용당동 49
 
3.6%
문현동 48
 
3.6%
대연동 47
 
3.5%
신선로 47
 
3.5%
용호동 36
 
2.7%
94 25
 
1.8%
용호로159번길 24
 
1.8%
365 24
 
1.8%
Other values (346) 626
46.3%
2023-12-11T01:18:32.011496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1139
 
16.8%
동 247
 
3.6%
부 246
 
3.6%
1 234
 
3.4%
산 233
 
3.4%
시 217
 
3.2%
광 216
 
3.2%
( 215
 
3.2%
) 215
 
3.2%
남 215
 
3.2%
Other values (191) 3609
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3845
56.7%
Space Separator 1139
 
16.8%
Decimal Number 1103
 
16.3%
Open Punctuation 215
 
3.2%
Close Punctuation 215
 
3.2%
Other Punctuation 196
 
2.9%
Dash Punctuation 40
 
0.6%
Uppercase Letter 32
 
0.5%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 247
 
6.4%
부 246
 
6.4%
산 233
 
6.1%
시 217
 
5.6%
광 216
 
5.6%
남 215
 
5.6%
구 213
 
5.5%
역 213
 
5.5%
로 207
 
5.4%
호 125
 
3.3%
Other values (161) 1713
44.6%
Uppercase Letter
ValueCountFrequency (%)
B 13
40.6%
A 5
 
15.6%
F 4
 
12.5%
I 2
 
6.2%
Z 1
 
3.1%
P 1
 
3.1%
N 1
 
3.1%
O 1
 
3.1%
S 1
 
3.1%
V 1
 
3.1%
Other values (2) 2
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 234
21.2%
2 139
12.6%
3 137
12.4%
4 107
9.7%
5 107
9.7%
9 103
9.3%
0 102
9.2%
6 72
 
6.5%
8 52
 
4.7%
7 50
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 182
92.9%
. 12
 
6.1%
/ 2
 
1.0%
Space Separator
ValueCountFrequency (%)
1139
100.0%
Open Punctuation
ValueCountFrequency (%)
( 215
100.0%
Close Punctuation
ValueCountFrequency (%)
) 215
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3845
56.7%
Common 2909
42.9%
Latin 32
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 247
 
6.4%
부 246
 
6.4%
산 233
 
6.1%
시 217
 
5.6%
광 216
 
5.6%
남 215
 
5.6%
구 213
 
5.5%
역 213
 
5.5%
로 207
 
5.4%
호 125
 
3.3%
Other values (161) 1713
44.6%
Common
ValueCountFrequency (%)
1139
39.2%
1 234
 
8.0%
( 215
 
7.4%
) 215
 
7.4%
, 182
 
6.3%
2 139
 
4.8%
3 137
 
4.7%
4 107
 
3.7%
5 107
 
3.7%
9 103
 
3.5%
Other values (8) 331
 
11.4%
Latin
ValueCountFrequency (%)
B 13
40.6%
A 5
 
15.6%
F 4
 
12.5%
I 2
 
6.2%
Z 1
 
3.1%
P 1
 
3.1%
N 1
 
3.1%
O 1
 
3.1%
S 1
 
3.1%
V 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3845
56.7%
ASCII 2941
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1139
38.7%
1 234
 
8.0%
( 215
 
7.3%
) 215
 
7.3%
, 182
 
6.2%
2 139
 
4.7%
3 137
 
4.7%
4 107
 
3.6%
5 107
 
3.6%
9 103
 
3.5%
Other values (20) 363
 
12.3%
Hangul
ValueCountFrequency (%)
동 247
 
6.4%
부 246
 
6.4%
산 233
 
6.1%
시 217
 
5.6%
광 216
 
5.6%
남 215
 
5.6%
구 213
 
5.5%
역 213
 
5.5%
로 207
 
5.4%
호 125
 
3.3%
Other values (161) 1713
44.6%

업종명
Text

Distinct150
Distinct (%)70.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-11T01:18:32.457809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length25
Mean length17.422535
Min length5

Characters and Unicode

Total characters3711
Distinct characters205
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique121 ?
Unique (%)56.8%

Sample

1st row일반용 도료 및 관련제품 제조업
2nd row빵류 제조업
3rd row액체 펌프 제조업 외 1 종
4th row플라스틱 창호 제조업 외 1 종
5th row한의약품 제조업
ValueCountFrequency (%)
제조업 199
16.0%
외 147
 
11.8%
종 122
 
9.8%
및 95
 
7.6%
기타 61
 
4.9%
1 54
 
4.3%
그 25
 
2.0%
셔츠 22
 
1.8%
블라우스 22
 
1.8%
2 19
 
1.5%
Other values (216) 476
38.3%
2023-12-11T01:18:33.012960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1029
27.7%
제 241
 
6.5%
업 229
 
6.2%
조 213
 
5.7%
외 148
 
4.0%
종 124
 
3.3%
기 116
 
3.1%
및 95
 
2.6%
타 62
 
1.7%
1 61
 
1.6%
Other values (195) 1393
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2524
68.0%
Space Separator 1029
27.7%
Decimal Number 129
 
3.5%
Other Punctuation 27
 
0.7%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 241
 
9.5%
업 229
 
9.1%
조 213
 
8.4%
외 148
 
5.9%
종 124
 
4.9%
기 116
 
4.6%
및 95
 
3.8%
타 62
 
2.5%
품 53
 
2.1%
장 52
 
2.1%
Other values (183) 1191
47.2%
Decimal Number
ValueCountFrequency (%)
1 61
47.3%
2 21
 
16.3%
3 17
 
13.2%
5 10
 
7.8%
4 6
 
4.7%
6 6
 
4.7%
7 6
 
4.7%
8 2
 
1.6%
Space Separator
ValueCountFrequency (%)
1029
100.0%
Other Punctuation
ValueCountFrequency (%)
, 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2524
68.0%
Common 1187
32.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 241
 
9.5%
업 229
 
9.1%
조 213
 
8.4%
외 148
 
5.9%
종 124
 
4.9%
기 116
 
4.6%
및 95
 
3.8%
타 62
 
2.5%
품 53
 
2.1%
장 52
 
2.1%
Other values (183) 1191
47.2%
Common
ValueCountFrequency (%)
1029
86.7%
1 61
 
5.1%
, 27
 
2.3%
2 21
 
1.8%
3 17
 
1.4%
5 10
 
0.8%
4 6
 
0.5%
6 6
 
0.5%
7 6
 
0.5%
8 2
 
0.2%
Other values (2) 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2524
68.0%
ASCII 1187
32.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1029
86.7%
1 61
 
5.1%
, 27
 
2.3%
2 21
 
1.8%
3 17
 
1.4%
5 10
 
0.8%
4 6
 
0.5%
6 6
 
0.5%
7 6
 
0.5%
8 2
 
0.2%
Other values (2) 2
 
0.2%
Hangul
ValueCountFrequency (%)
제 241
 
9.5%
업 229
 
9.1%
조 213
 
8.4%
외 148
 
5.9%
종 124
 
4.9%
기 116
 
4.6%
및 95
 
3.8%
타 62
 
2.5%
품 53
 
2.1%
장 52
 
2.1%
Other values (183) 1191
47.2%

전화번호
Text

MISSING 

Distinct188
Distinct (%)94.9%
Missing15
Missing (%)7.0%
Memory size1.8 KiB
2023-12-11T01:18:33.289598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.005051
Min length9

Characters and Unicode

Total characters2377
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

Unique179 ?
Unique (%)90.4%

Sample

1st row051-620-8221
2nd row1899-6539
3rd row051-418-6628
4th row051-628-0087
5th row051-611-2257
ValueCountFrequency (%)
051-642-7800 3
 
1.5%
051-631-8895 2
 
1.0%
051-626-7726 2
 
1.0%
051-627-9870 2
 
1.0%
051-951-0007 2
 
1.0%
051-621-6003 2
 
1.0%
051-622-5665 2
 
1.0%
051-626-6277 2
 
1.0%
051-647-0083 2
 
1.0%
051-626-5954 1
 
0.5%
Other values (178) 178
89.9%
2023-12-11T01:18:33.782281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 394
16.6%
0 351
14.8%
1 338
14.2%
5 287
12.1%
6 256
10.8%
2 197
8.3%
3 139
 
5.8%
7 129
 
5.4%
4 116
 
4.9%
8 90
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1983
83.4%
Dash Punctuation 394
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 351
17.7%
1 338
17.0%
5 287
14.5%
6 256
12.9%
2 197
9.9%
3 139
 
7.0%
7 129
 
6.5%
4 116
 
5.8%
8 90
 
4.5%
9 80
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 394
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2377
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 394
16.6%
0 351
14.8%
1 338
14.2%
5 287
12.1%
6 256
10.8%
2 197
8.3%
3 139
 
5.8%
7 129
 
5.4%
4 116
 
4.9%
8 90
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2377
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 394
16.6%
0 351
14.8%
1 338
14.2%
5 287
12.1%
6 256
10.8%
2 197
8.3%
3 139
 
5.8%
7 129
 
5.4%
4 116
 
4.9%
8 90
 
3.8%

생산품
Text

Distinct197
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-11T01:18:34.060852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length28
Mean length7.8779343
Min length1

Characters and Unicode

Total characters1678
Distinct characters334
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

Unique186 ?
Unique (%)87.3%

Sample

1st row페인트
2nd row제빵, 제과
3rd row선박용펌프
4th row플라스틱제 창문
5th row광명 당귀외 한약제
ValueCountFrequency (%)
및 9
 
2.6%
등 8
 
2.3%
외 7
 
2.0%
근무복 6
 
1.7%
의류 6
 
1.7%
화장품 4
 
1.1%
제조 4
 
1.1%
티셔츠 4
 
1.1%
잠수복 4
 
1.1%
한약재 3
 
0.9%
Other values (270) 295
84.3%
2023-12-11T01:18:34.491062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
139
 
8.3%
, 91
 
5.4%
기 57
 
3.4%
장 34
 
2.0%
복 33
 
2.0%
제 30
 
1.8%
전 27
 
1.6%
조 26
 
1.5%
용 25
 
1.5%
스 24
 
1.4%
Other values (324) 1192
71.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1347
80.3%
Space Separator 139
 
8.3%
Other Punctuation 91
 
5.4%
Uppercase Letter 68
 
4.1%
Lowercase Letter 15
 
0.9%
Close Punctuation 7
 
0.4%
Open Punctuation 7
 
0.4%
Decimal Number 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 57
 
4.2%
장 34
 
2.5%
복 33
 
2.4%
제 30
 
2.2%
전 27
 
2.0%
조 26
 
1.9%
용 25
 
1.9%
스 24
 
1.8%
수 22
 
1.6%
자 20
 
1.5%
Other values (288) 1049
77.9%
Uppercase Letter
ValueCountFrequency (%)
E 10
14.7%
D 10
14.7%
L 9
13.2%
C 6
8.8%
S 6
8.8%
T 5
7.4%
P 5
7.4%
I 3
 
4.4%
V 3
 
4.4%
A 2
 
2.9%
Other values (8) 9
13.2%
Lowercase Letter
ValueCountFrequency (%)
c 3
20.0%
i 2
13.3%
s 2
13.3%
t 2
13.3%
p 1
 
6.7%
f 1
 
6.7%
y 1
 
6.7%
e 1
 
6.7%
m 1
 
6.7%
v 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
3 1
25.0%
5 1
25.0%
4 1
25.0%
2 1
25.0%
Space Separator
ValueCountFrequency (%)
139
100.0%
Other Punctuation
ValueCountFrequency (%)
, 91
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1347
80.3%
Common 248
 
14.8%
Latin 83
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 57
 
4.2%
장 34
 
2.5%
복 33
 
2.4%
제 30
 
2.2%
전 27
 
2.0%
조 26
 
1.9%
용 25
 
1.9%
스 24
 
1.8%
수 22
 
1.6%
자 20
 
1.5%
Other values (288) 1049
77.9%
Latin
ValueCountFrequency (%)
E 10
12.0%
D 10
12.0%
L 9
 
10.8%
C 6
 
7.2%
S 6
 
7.2%
T 5
 
6.0%
P 5
 
6.0%
I 3
 
3.6%
c 3
 
3.6%
V 3
 
3.6%
Other values (18) 23
27.7%
Common
ValueCountFrequency (%)
139
56.0%
, 91
36.7%
) 7
 
2.8%
( 7
 
2.8%
3 1
 
0.4%
5 1
 
0.4%
4 1
 
0.4%
2 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1347
80.3%
ASCII 331
 
19.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
139
42.0%
, 91
27.5%
E 10
 
3.0%
D 10
 
3.0%
L 9
 
2.7%
) 7
 
2.1%
( 7
 
2.1%
C 6
 
1.8%
S 6
 
1.8%
T 5
 
1.5%
Other values (26) 41
 
12.4%
Hangul
ValueCountFrequency (%)
기 57
 
4.2%
장 34
 
2.5%
복 33
 
2.4%
제 30
 
2.2%
전 27
 
2.0%
조 26
 
1.9%
용 25
 
1.9%
스 24
 
1.8%
수 22
 
1.6%
자 20
 
1.5%
Other values (288) 1049
77.9%

비고
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing213
Missing (%)100.0%
Memory size2.0 KiB

Interactions

2023-12-11T01:18:29.219186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-11T01:18:29.360279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:18:29.543268image/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

순번회사명공장대표주소(도로명)업종명전화번호생산품비고
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12(주)겐츠 베이커리부산광역시 남구 용호로159번길 94, B1층 103~107호 (용호동)빵류 제조업1899-6539제빵, 제과<NA>
23(주)경양엔지니어링부산광역시 남구 신선로 217-10 (감만동)액체 펌프 제조업 외 1 종051-418-6628선박용펌프<NA>
34(주)광덕창호산업부산광역시 남구 수영로325번길 159-38 (대연동)플라스틱 창호 제조업 외 1 종051-628-0087플라스틱제 창문<NA>
45(주)광명생약부산광역시 남구 용호로159번길 94 (용호동, .)한의약품 제조업051-611-2257광명 당귀외 한약제<NA>
56(주)광성계측기부산광역시 남구 용호로 159, 94 10층 1001호 (용호동)배전반 및 전기 자동제어반 제조업 외 2 종051-723-3000전력제어기 외 4종<NA>
67(주)금광어패럴부산광역시 남구 고동골로 130-31, 2층 (문현동)셔츠 및 블라우스 제조업 외 1 종051-631-8895셔츠 및 블라우스, 근무복<NA>
78(주)나인텔레콤넷부산광역시 남구 유엔평화로126번길 19, 상가동 1층 (용당동, 용당 대광아파트)유선 통신장비 제조업 외 7 종051-900-0114통신장비, 기계장비, 엘리베이터장비, 전화기,전광판,비상벨기판<NA>
89(주)농협사료부산광역시 남구 우암로 337 (문현동, 부산특수사료공장)배합 사료 제조업 외 1 종02-6932-9700배합사료<NA>
910(주)누리칸부산광역시 남구 신선로 365, 산학협력단 신관 402,403호 (창업보육센터 402,403호) (용당동)기타 전기 변환장치 제조업 외 21 종051-627-9870애니맥스<NA>
순번회사명공장대표주소(도로명)업종명전화번호생산품비고
203204한국ENG부산광역시 남구 전포대로78번길 6-4 (문현동)기체 여과기 제조업051-631-9183공조용필터<NA>
204205한국쉘석유주식회사부산광역시 남구 신선로 250 (용당동, 한국쉘석유)윤활유 및 그리스 제조업051-624-7111윤활유, 그리스<NA>
205206한국유공압시스템부산광역시 남구 신선로 428, 334호 (용당동, 동명대학교)유압기기 제조업<NA>유공압전장기기류<NA>
206207한길스포츠부산광역시 남구 석포로 92 (대연동)셔츠 및 블라우스 제조업 외 1 종051-625-3007도복(태권도)<NA>
207208한중무역클럽부산광역시 남구 우암로 82, 2층 (감만동)기타 신발 제조업051-625-6005실내용슬리퍼<NA>
208209한통레미콘주식회사부산광역시 남구 용당동 206-56레미콘 제조업051-627-3300레미콘<NA>
209210형제식품부산광역시 남구 감만동 34-127번지기타 수산동물 가공 및 저장 처리업051-634-3068어묵<NA>
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