Overview

Dataset statistics

Number of variables7
Number of observations215
Missing cells231
Missing cells (%)15.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.3 KiB
Average record size in memory58.6 B

Variable types

Numeric1
Text5
Unsupported1

Dataset

Description부산광역시남구_공장등록현황_20220921
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15022991

Alerts

전화번호 has 16 (7.4%) missing valuesMissing
비고 has 215 (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 16:18:22.087806
Analysis finished2023-12-10 16:18:22.932441
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct215
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108
Minimum1
Maximum215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T01:18:23.003805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.7
Q154.5
median108
Q3161.5
95-th percentile204.3
Maximum215
Range214
Interquartile range (IQR)107

Descriptive statistics

Standard deviation62.209324
Coefficient of variation (CV)0.57601226
Kurtosis-1.2
Mean108
Median Absolute Deviation (MAD)54
Skewness0
Sum23220
Variance3870
MonotonicityStrictly increasing
2023-12-11T01:18:23.140128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
149 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%
145 1
 
0.5%
Other values (205) 205
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 (%)
215 1
0.5%
214 1
0.5%
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%

회사명
Text

Distinct212
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-11T01:18:23.347359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length6.7813953
Min length1

Characters and Unicode

Total characters1458
Distinct characters283
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique209 ?
Unique (%)97.2%

Sample

1st row(유)피피지코리아
2nd row(주)겐츠 베이커리
3rd row(주)경양엔지니어링
4th row(주)광덕창호산업
5th row(주)광명생약
ValueCountFrequency (%)
주식회사 21
 
8.6%
주)인들디자인 2
 
0.8%
주)인터오션 2
 
0.8%
주)화림제약 2
 
0.8%
국부사 2
 
0.8%
아주디자인산업(주 1
 
0.4%
용마산업 1
 
0.4%
신우팩토리 1
 
0.4%
에스에이치피(shp 1
 
0.4%
유)피피지코리아 1
 
0.4%
Other values (211) 211
86.1%
2023-12-11T01:18:23.711686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 117
 
8.0%
( 95
 
6.5%
) 95
 
6.5%
스 57
 
3.9%
이 48
 
3.3%
사 42
 
2.9%
30
 
2.1%
식 28
 
1.9%
회 26
 
1.8%
에 21
 
1.4%
Other values (273) 899
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1198
82.2%
Open Punctuation 95
 
6.5%
Close Punctuation 95
 
6.5%
Uppercase Letter 34
 
2.3%
Space Separator 30
 
2.1%
Other Punctuation 3
 
0.2%
Lowercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 117
 
9.8%
스 57
 
4.8%
이 48
 
4.0%
사 42
 
3.5%
식 28
 
2.3%
회 26
 
2.2%
에 21
 
1.8%
아 20
 
1.7%
지 18
 
1.5%
산 17
 
1.4%
Other values (246) 804
67.1%
Uppercase Letter
ValueCountFrequency (%)
P 3
 
8.8%
E 3
 
8.8%
T 3
 
8.8%
D 3
 
8.8%
H 2
 
5.9%
C 2
 
5.9%
J 2
 
5.9%
S 2
 
5.9%
N 2
 
5.9%
B 2
 
5.9%
Other values (9) 10
29.4%
Lowercase Letter
ValueCountFrequency (%)
h 1
33.3%
c 1
33.3%
e 1
33.3%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
/ 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 95
100.0%
Close Punctuation
ValueCountFrequency (%)
) 95
100.0%
Space Separator
ValueCountFrequency (%)
30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1198
82.2%
Common 223
 
15.3%
Latin 37
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 117
 
9.8%
스 57
 
4.8%
이 48
 
4.0%
사 42
 
3.5%
식 28
 
2.3%
회 26
 
2.2%
에 21
 
1.8%
아 20
 
1.7%
지 18
 
1.5%
산 17
 
1.4%
Other values (246) 804
67.1%
Latin
ValueCountFrequency (%)
P 3
 
8.1%
E 3
 
8.1%
T 3
 
8.1%
D 3
 
8.1%
H 2
 
5.4%
C 2
 
5.4%
J 2
 
5.4%
S 2
 
5.4%
N 2
 
5.4%
B 2
 
5.4%
Other values (12) 13
35.1%
Common
ValueCountFrequency (%)
( 95
42.6%
) 95
42.6%
30
 
13.5%
& 2
 
0.9%
/ 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1198
82.2%
ASCII 260
 
17.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 117
 
9.8%
스 57
 
4.8%
이 48
 
4.0%
사 42
 
3.5%
식 28
 
2.3%
회 26
 
2.2%
에 21
 
1.8%
아 20
 
1.7%
지 18
 
1.5%
산 17
 
1.4%
Other values (246) 804
67.1%
ASCII
ValueCountFrequency (%)
( 95
36.5%
) 95
36.5%
30
 
11.5%
P 3
 
1.2%
E 3
 
1.2%
T 3
 
1.2%
D 3
 
1.2%
H 2
 
0.8%
C 2
 
0.8%
J 2
 
0.8%
Other values (17) 22
 
8.5%

공장대표주소(도로명)
Text

Distinct199
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-11T01:18:24.024005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length44
Mean length31.92093
Min length19

Characters and Unicode

Total characters6863
Distinct characters203
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

Unique192 ?
Unique (%)89.3%

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 215
 
15.9%
남구 215
 
15.9%
용당동 49
 
3.6%
신선로 48
 
3.5%
문현동 47
 
3.5%
대연동 41
 
3.0%
용호동 36
 
2.7%
94 27
 
2.0%
용호로159번길 26
 
1.9%
365 24
 
1.8%
Other values (355) 625
46.2%
2023-12-11T01:18:24.581554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1138
 
16.6%
동 250
 
3.6%
부 248
 
3.6%
1 247
 
3.6%
산 235
 
3.4%
시 220
 
3.2%
광 218
 
3.2%
( 217
 
3.2%
) 217
 
3.2%
남 217
 
3.2%
Other values (193) 3656
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3887
56.6%
Space Separator 1138
 
16.6%
Decimal Number 1128
 
16.4%
Open Punctuation 217
 
3.2%
Close Punctuation 217
 
3.2%
Other Punctuation 200
 
2.9%
Dash Punctuation 43
 
0.6%
Uppercase Letter 32
 
0.5%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 250
 
6.4%
부 248
 
6.4%
산 235
 
6.0%
시 220
 
5.7%
광 218
 
5.6%
남 217
 
5.6%
구 215
 
5.5%
역 215
 
5.5%
로 209
 
5.4%
호 131
 
3.4%
Other values (163) 1729
44.5%
Uppercase Letter
ValueCountFrequency (%)
B 14
43.8%
A 5
 
15.6%
F 3
 
9.4%
I 2
 
6.2%
N 1
 
3.1%
Z 1
 
3.1%
L 1
 
3.1%
P 1
 
3.1%
O 1
 
3.1%
S 1
 
3.1%
Other values (2) 2
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 247
21.9%
3 139
12.3%
2 138
12.2%
4 109
9.7%
0 106
9.4%
5 106
9.4%
9 105
9.3%
6 74
 
6.6%
8 53
 
4.7%
7 51
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 186
93.0%
. 12
 
6.0%
/ 2
 
1.0%
Space Separator
ValueCountFrequency (%)
1138
100.0%
Open Punctuation
ValueCountFrequency (%)
( 217
100.0%
Close Punctuation
ValueCountFrequency (%)
) 217
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3887
56.6%
Common 2944
42.9%
Latin 32
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 250
 
6.4%
부 248
 
6.4%
산 235
 
6.0%
시 220
 
5.7%
광 218
 
5.6%
남 217
 
5.6%
구 215
 
5.5%
역 215
 
5.5%
로 209
 
5.4%
호 131
 
3.4%
Other values (163) 1729
44.5%
Common
ValueCountFrequency (%)
1138
38.7%
1 247
 
8.4%
( 217
 
7.4%
) 217
 
7.4%
, 186
 
6.3%
3 139
 
4.7%
2 138
 
4.7%
4 109
 
3.7%
0 106
 
3.6%
5 106
 
3.6%
Other values (8) 341
 
11.6%
Latin
ValueCountFrequency (%)
B 14
43.8%
A 5
 
15.6%
F 3
 
9.4%
I 2
 
6.2%
N 1
 
3.1%
Z 1
 
3.1%
L 1
 
3.1%
P 1
 
3.1%
O 1
 
3.1%
S 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3887
56.6%
ASCII 2976
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1138
38.2%
1 247
 
8.3%
( 217
 
7.3%
) 217
 
7.3%
, 186
 
6.2%
3 139
 
4.7%
2 138
 
4.6%
4 109
 
3.7%
0 106
 
3.6%
5 106
 
3.6%
Other values (20) 373
 
12.5%
Hangul
ValueCountFrequency (%)
동 250
 
6.4%
부 248
 
6.4%
산 235
 
6.0%
시 220
 
5.7%
광 218
 
5.6%
남 217
 
5.6%
구 215
 
5.5%
역 215
 
5.5%
로 209
 
5.4%
호 131
 
3.4%
Other values (163) 1729
44.5%

업종명
Text

Distinct151
Distinct (%)70.2%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-11T01:18:25.002521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length25
Mean length17.506977
Min length5

Characters and Unicode

Total characters3764
Distinct characters204
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

Unique119 ?
Unique (%)55.3%

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 200
15.8%
외 149
 
11.8%
종 125
 
9.9%
및 97
 
7.7%
기타 60
 
4.8%
1 58
 
4.6%
그 24
 
1.9%
셔츠 21
 
1.7%
블라우스 21
 
1.7%
2 17
 
1.3%
Other values (213) 490
38.8%
2023-12-11T01:18:25.581505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1047
27.8%
제 242
 
6.4%
업 231
 
6.1%
조 215
 
5.7%
외 150
 
4.0%
종 127
 
3.4%
기 114
 
3.0%
및 97
 
2.6%
1 65
 
1.7%
타 61
 
1.6%
Other values (194) 1415
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2555
67.9%
Space Separator 1047
27.8%
Decimal Number 132
 
3.5%
Other Punctuation 28
 
0.7%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 242
 
9.5%
업 231
 
9.0%
조 215
 
8.4%
외 150
 
5.9%
종 127
 
5.0%
기 114
 
4.5%
및 97
 
3.8%
타 61
 
2.4%
품 55
 
2.2%
장 55
 
2.2%
Other values (182) 1208
47.3%
Decimal Number
ValueCountFrequency (%)
1 65
49.2%
2 19
 
14.4%
3 18
 
13.6%
5 9
 
6.8%
6 7
 
5.3%
4 7
 
5.3%
7 5
 
3.8%
8 2
 
1.5%
Space Separator
ValueCountFrequency (%)
1047
100.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2555
67.9%
Common 1209
32.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 242
 
9.5%
업 231
 
9.0%
조 215
 
8.4%
외 150
 
5.9%
종 127
 
5.0%
기 114
 
4.5%
및 97
 
3.8%
타 61
 
2.4%
품 55
 
2.2%
장 55
 
2.2%
Other values (182) 1208
47.3%
Common
ValueCountFrequency (%)
1047
86.6%
1 65
 
5.4%
, 28
 
2.3%
2 19
 
1.6%
3 18
 
1.5%
5 9
 
0.7%
6 7
 
0.6%
4 7
 
0.6%
7 5
 
0.4%
8 2
 
0.2%
Other values (2) 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2555
67.9%
ASCII 1209
32.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1047
86.6%
1 65
 
5.4%
, 28
 
2.3%
2 19
 
1.6%
3 18
 
1.5%
5 9
 
0.7%
6 7
 
0.6%
4 7
 
0.6%
7 5
 
0.4%
8 2
 
0.2%
Other values (2) 2
 
0.2%
Hangul
ValueCountFrequency (%)
제 242
 
9.5%
업 231
 
9.0%
조 215
 
8.4%
외 150
 
5.9%
종 127
 
5.0%
기 114
 
4.5%
및 97
 
3.8%
타 61
 
2.4%
품 55
 
2.2%
장 55
 
2.2%
Other values (182) 1208
47.3%

전화번호
Text

MISSING 

Distinct189
Distinct (%)95.0%
Missing16
Missing (%)7.4%
Memory size1.8 KiB
2023-12-11T01:18:25.904184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.984925
Min length9

Characters and Unicode

Total characters2385
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

Unique180 ?
Unique (%)90.5%

Sample

1st row051-620-8221
2nd row1899-6539
3rd row051-418-6628
4th row051-628-0087
5th row051-611-2257
ValueCountFrequency (%)
051-622-5665 3
 
1.5%
051-642-7800 2
 
1.0%
051-621-6003 2
 
1.0%
051-626-6277 2
 
1.0%
051-631-8895 2
 
1.0%
051-627-9870 2
 
1.0%
051-636-6196 2
 
1.0%
051-626-7726 2
 
1.0%
051-647-0083 2
 
1.0%
051-621-6484 1
 
0.5%
Other values (179) 179
89.9%
2023-12-11T01:18:26.364731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 395
16.6%
0 343
14.4%
1 339
14.2%
5 294
12.3%
6 265
11.1%
2 193
8.1%
3 140
 
5.9%
7 130
 
5.5%
4 114
 
4.8%
8 89
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1990
83.4%
Dash Punctuation 395
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 343
17.2%
1 339
17.0%
5 294
14.8%
6 265
13.3%
2 193
9.7%
3 140
7.0%
7 130
 
6.5%
4 114
 
5.7%
8 89
 
4.5%
9 83
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 395
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2385
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 395
16.6%
0 343
14.4%
1 339
14.2%
5 294
12.3%
6 265
11.1%
2 193
8.1%
3 140
 
5.9%
7 130
 
5.5%
4 114
 
4.8%
8 89
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2385
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 395
16.6%
0 343
14.4%
1 339
14.2%
5 294
12.3%
6 265
11.1%
2 193
8.1%
3 140
 
5.9%
7 130
 
5.5%
4 114
 
4.8%
8 89
 
3.7%

생산품
Text

Distinct199
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-11T01:18:26.698536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length30
Mean length8.1348837
Min length1

Characters and Unicode

Total characters1749
Distinct characters338
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

Unique188 ?
Unique (%)87.4%

Sample

1st row페인트
2nd row제빵, 제과
3rd row선박용펌프
4th row플라스틱제 창문
5th row광명 당귀외 한약제
ValueCountFrequency (%)
및 9
 
2.5%
등 8
 
2.2%
외 7
 
1.9%
근무복 6
 
1.7%
의류 5
 
1.4%
제조 5
 
1.4%
화장품 4
 
1.1%
잠수복 4
 
1.1%
작업복 4
 
1.1%
티셔츠 4
 
1.1%
Other values (280) 307
84.6%
2023-12-11T01:18:27.144289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
150
 
8.6%
, 100
 
5.7%
기 57
 
3.3%
복 39
 
2.2%
장 38
 
2.2%
제 27
 
1.5%
전 27
 
1.5%
조 25
 
1.4%
용 25
 
1.4%
스 24
 
1.4%
Other values (328) 1237
70.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1395
79.8%
Space Separator 150
 
8.6%
Other Punctuation 100
 
5.7%
Uppercase Letter 72
 
4.1%
Lowercase Letter 15
 
0.9%
Open Punctuation 7
 
0.4%
Close Punctuation 7
 
0.4%
Decimal Number 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 57
 
4.1%
복 39
 
2.8%
장 38
 
2.7%
제 27
 
1.9%
전 27
 
1.9%
조 25
 
1.8%
용 25
 
1.8%
스 24
 
1.7%
비 23
 
1.6%
수 23
 
1.6%
Other values (293) 1087
77.9%
Uppercase Letter
ValueCountFrequency (%)
D 10
13.9%
E 10
13.9%
L 9
12.5%
C 8
11.1%
S 6
8.3%
T 6
8.3%
P 5
6.9%
V 4
 
5.6%
I 3
 
4.2%
A 2
 
2.8%
Other values (8) 9
12.5%
Lowercase Letter
ValueCountFrequency (%)
c 3
20.0%
t 2
13.3%
s 2
13.3%
i 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
33.3%
2 1
33.3%
4 1
33.3%
Space Separator
ValueCountFrequency (%)
150
100.0%
Other Punctuation
ValueCountFrequency (%)
, 100
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1395
79.8%
Common 267
 
15.3%
Latin 87
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 57
 
4.1%
복 39
 
2.8%
장 38
 
2.7%
제 27
 
1.9%
전 27
 
1.9%
조 25
 
1.8%
용 25
 
1.8%
스 24
 
1.7%
비 23
 
1.6%
수 23
 
1.6%
Other values (293) 1087
77.9%
Latin
ValueCountFrequency (%)
D 10
11.5%
E 10
11.5%
L 9
 
10.3%
C 8
 
9.2%
S 6
 
6.9%
T 6
 
6.9%
P 5
 
5.7%
V 4
 
4.6%
I 3
 
3.4%
c 3
 
3.4%
Other values (18) 23
26.4%
Common
ValueCountFrequency (%)
150
56.2%
, 100
37.5%
( 7
 
2.6%
) 7
 
2.6%
3 1
 
0.4%
2 1
 
0.4%
4 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1395
79.8%
ASCII 354
 
20.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
150
42.4%
, 100
28.2%
D 10
 
2.8%
E 10
 
2.8%
L 9
 
2.5%
C 8
 
2.3%
( 7
 
2.0%
) 7
 
2.0%
S 6
 
1.7%
T 6
 
1.7%
Other values (25) 41
 
11.6%
Hangul
ValueCountFrequency (%)
기 57
 
4.1%
복 39
 
2.8%
장 38
 
2.7%
제 27
 
1.9%
전 27
 
1.9%
조 25
 
1.8%
용 25
 
1.8%
스 24
 
1.7%
비 23
 
1.6%
수 23
 
1.6%
Other values (293) 1087
77.9%

비고
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing215
Missing (%)100.0%
Memory size2.0 KiB

Interactions

2023-12-11T01:18:22.676691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-11T01:18:22.784797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:18:22.893210image/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
01(유)피피지코리아부산광역시 남구 신선로356번길 21 (용당동)일반용 도료 및 관련제품 제조업051-620-8221페인트<NA>
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
205206폴부산광역시 남구 수영로 309, 창업보육센터(사회관B111호) (대연동, 경성대학교)컴퓨터 제조업051-924-0404pc, 서버 제작<NA>
206207한국ENG부산광역시 남구 전포대로78번길 6-4 (문현동)기체 여과기 제조업051-631-9183공조용필터<NA>
207208한국쉘석유주식회사부산광역시 남구 신선로 250 (용당동, 한국쉘석유)윤활유 및 그리스 제조업051-624-7111윤활유, 그리스<NA>
208209한국유공압시스템부산광역시 남구 신선로 428, 334호 (용당동, 동명대학교)유압기기 제조업<NA>유공압전장기기류<NA>
209210한길스포츠부산광역시 남구 석포로 92 (대연동)셔츠 및 블라우스 제조업 외 1 종051-625-3007도복(태권도)<NA>
210211한중무역클럽부산광역시 남구 우암로 82, 2층 (감만동)기타 신발 제조업051-625-6005실내용슬리퍼<NA>
211212한통레미콘주식회사부산광역시 남구 용당동 206-56레미콘 제조업051-627-3300레미콘<NA>
212213형제식품부산광역시 남구 감만동 34-127번지기타 수산동물 가공 및 저장 처리업051-634-3068어묵<NA>
213214형조산업부산광역시 남구 신선로 365, 산학협력관 422호 (용당동, 부경대학교)근무복, 작업복 및 유사의복 제조업 외 2 종070-4820-4236작업복<NA>
214215화림제약부산광역시 남구 용호로159번길 94, A동 7층 전체 (용호동)한의약품 제조업051-626-7726한약재<NA>