Overview

Dataset statistics

Number of variables6
Number of observations322
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.5 KiB
Average record size in memory49.4 B

Variable types

Numeric1
Text5

Dataset

Description부산광역시금정구_공장등록현황_20230317
Author부산광역시 금정구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3077319

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:15:22.581439
Analysis finished2023-12-10 17:15:24.214377
Duration1.63 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct322
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean161.5
Minimum1
Maximum322
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T02:15:24.413177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17.05
Q181.25
median161.5
Q3241.75
95-th percentile305.95
Maximum322
Range321
Interquartile range (IQR)160.5

Descriptive statistics

Standard deviation93.097619
Coefficient of variation (CV)0.57645585
Kurtosis-1.2
Mean161.5
Median Absolute Deviation (MAD)80.5
Skewness0
Sum52003
Variance8667.1667
MonotonicityStrictly increasing
2023-12-11T02:15:24.796779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
243 1
 
0.3%
221 1
 
0.3%
220 1
 
0.3%
219 1
 
0.3%
218 1
 
0.3%
217 1
 
0.3%
216 1
 
0.3%
215 1
 
0.3%
214 1
 
0.3%
Other values (312) 312
96.9%
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 (%)
322 1
0.3%
321 1
0.3%
320 1
0.3%
319 1
0.3%
318 1
0.3%
317 1
0.3%
316 1
0.3%
315 1
0.3%
314 1
0.3%
313 1
0.3%

회사명
Text

Distinct319
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-11T02:15:25.341719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length6.8819876
Min length2

Characters and Unicode

Total characters2216
Distinct characters297
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

Unique316 ?
Unique (%)98.1%

Sample

1st row(주) 더헤르첸
2nd row(주)DH전장
3rd row(주)가나에스아이피
4th row(주)가람디자인
5th row(주)경동유리제경사
ValueCountFrequency (%)
주식회사 43
 
11.3%
세화씨푸드(주 3
 
0.8%
욱성화학주식회사 3
 
0.8%
대성방직(주 2
 
0.5%
포앤텍 2
 
0.5%
주)금강제경유리 2
 
0.5%
제3공장 2
 
0.5%
동남계전 2
 
0.5%
제2공장 2
 
0.5%
와이디 1
 
0.3%
Other values (317) 317
83.6%
2023-12-11T02:15:26.188921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 178
 
8.0%
( 123
 
5.6%
) 123
 
5.6%
사 84
 
3.8%
식 58
 
2.6%
57
 
2.6%
회 56
 
2.5%
이 44
 
2.0%
업 42
 
1.9%
산 39
 
1.8%
Other values (287) 1412
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1878
84.7%
Open Punctuation 123
 
5.6%
Close Punctuation 123
 
5.6%
Space Separator 57
 
2.6%
Uppercase Letter 20
 
0.9%
Decimal Number 11
 
0.5%
Other Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 178
 
9.5%
사 84
 
4.5%
식 58
 
3.1%
회 56
 
3.0%
이 44
 
2.3%
업 42
 
2.2%
산 39
 
2.1%
성 39
 
2.1%
스 37
 
2.0%
공 27
 
1.4%
Other values (264) 1274
67.8%
Uppercase Letter
ValueCountFrequency (%)
S 3
15.0%
H 3
15.0%
T 2
10.0%
E 2
10.0%
M 2
10.0%
D 1
 
5.0%
C 1
 
5.0%
K 1
 
5.0%
L 1
 
5.0%
I 1
 
5.0%
Other values (3) 3
15.0%
Decimal Number
ValueCountFrequency (%)
2 5
45.5%
3 2
 
18.2%
1 2
 
18.2%
5 1
 
9.1%
7 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
& 2
50.0%
. 2
50.0%
Open Punctuation
ValueCountFrequency (%)
( 123
100.0%
Close Punctuation
ValueCountFrequency (%)
) 123
100.0%
Space Separator
ValueCountFrequency (%)
57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1878
84.7%
Common 318
 
14.4%
Latin 20
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 178
 
9.5%
사 84
 
4.5%
식 58
 
3.1%
회 56
 
3.0%
이 44
 
2.3%
업 42
 
2.2%
산 39
 
2.1%
성 39
 
2.1%
스 37
 
2.0%
공 27
 
1.4%
Other values (264) 1274
67.8%
Latin
ValueCountFrequency (%)
S 3
15.0%
H 3
15.0%
T 2
10.0%
E 2
10.0%
M 2
10.0%
D 1
 
5.0%
C 1
 
5.0%
K 1
 
5.0%
L 1
 
5.0%
I 1
 
5.0%
Other values (3) 3
15.0%
Common
ValueCountFrequency (%)
( 123
38.7%
) 123
38.7%
57
17.9%
2 5
 
1.6%
& 2
 
0.6%
3 2
 
0.6%
. 2
 
0.6%
1 2
 
0.6%
5 1
 
0.3%
7 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1878
84.7%
ASCII 338
 
15.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 178
 
9.5%
사 84
 
4.5%
식 58
 
3.1%
회 56
 
3.0%
이 44
 
2.3%
업 42
 
2.2%
산 39
 
2.1%
성 39
 
2.1%
스 37
 
2.0%
공 27
 
1.4%
Other values (264) 1274
67.8%
ASCII
ValueCountFrequency (%)
( 123
36.4%
) 123
36.4%
57
16.9%
2 5
 
1.5%
S 3
 
0.9%
H 3
 
0.9%
& 2
 
0.6%
3 2
 
0.6%
T 2
 
0.6%
E 2
 
0.6%
Other values (13) 16
 
4.7%

대표자명
Text

Distinct300
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-11T02:15:26.853103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length3
Mean length3.2049689
Min length2

Characters and Unicode

Total characters1032
Distinct characters166
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique282 ?
Unique (%)87.6%

Sample

1st row이기수
2nd row최윤창
3rd row김병조
4th row전승옥
5th row박명분
ValueCountFrequency (%)
변준석 4
 
1.2%
김병조 3
 
0.9%
배기일 3
 
0.9%
김철수 2
 
0.6%
1명 2
 
0.6%
문은상 2
 
0.6%
이광석 2
 
0.6%
최정화 2
 
0.6%
오현택 2
 
0.6%
고재혁 2
 
0.6%
Other values (300) 309
92.8%
2023-12-11T02:15:28.038069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 66
 
6.4%
이 55
 
5.3%
정 36
 
3.5%
박 29
 
2.8%
영 28
 
2.7%
현 25
 
2.4%
기 21
 
2.0%
수 20
 
1.9%
호 17
 
1.6%
동 16
 
1.6%
Other values (156) 719
69.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 997
96.6%
Space Separator 11
 
1.1%
Uppercase Letter 11
 
1.1%
Other Punctuation 10
 
1.0%
Decimal Number 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 66
 
6.6%
이 55
 
5.5%
정 36
 
3.6%
박 29
 
2.9%
영 28
 
2.8%
현 25
 
2.5%
기 21
 
2.1%
수 20
 
2.0%
호 17
 
1.7%
동 16
 
1.6%
Other values (143) 684
68.6%
Uppercase Letter
ValueCountFrequency (%)
E 2
18.2%
A 2
18.2%
K 1
9.1%
L 1
9.1%
R 1
9.1%
B 1
9.1%
H 1
9.1%
S 1
9.1%
C 1
9.1%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 997
96.6%
Common 24
 
2.3%
Latin 11
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 66
 
6.6%
이 55
 
5.5%
정 36
 
3.6%
박 29
 
2.9%
영 28
 
2.8%
현 25
 
2.5%
기 21
 
2.1%
수 20
 
2.0%
호 17
 
1.7%
동 16
 
1.6%
Other values (143) 684
68.6%
Latin
ValueCountFrequency (%)
E 2
18.2%
A 2
18.2%
K 1
9.1%
L 1
9.1%
R 1
9.1%
B 1
9.1%
H 1
9.1%
S 1
9.1%
C 1
9.1%
Common
ValueCountFrequency (%)
11
45.8%
, 10
41.7%
1 2
 
8.3%
2 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 997
96.6%
ASCII 35
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 66
 
6.6%
이 55
 
5.5%
정 36
 
3.6%
박 29
 
2.9%
영 28
 
2.8%
현 25
 
2.5%
기 21
 
2.1%
수 20
 
2.0%
호 17
 
1.7%
동 16
 
1.6%
Other values (143) 684
68.6%
ASCII
ValueCountFrequency (%)
11
31.4%
, 10
28.6%
1 2
 
5.7%
E 2
 
5.7%
A 2
 
5.7%
K 1
 
2.9%
L 1
 
2.9%
R 1
 
2.9%
B 1
 
2.9%
H 1
 
2.9%
Other values (3) 3
 
8.6%

공장대표주소(도로명)
Text

Distinct313
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-11T02:15:28.671159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length47
Mean length29.385093
Min length18

Characters and Unicode

Total characters9462
Distinct characters205
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

Unique305 ?
Unique (%)94.7%

Sample

1st row부산광역시 금정구 금사로 75, 지하 1층(금사동)
2nd row부산광역시 금정구 공단동로41번길 10, 보림팩토피아 407호~411호 (금사동)
3rd row부산광역시 금정구 금사로 159 (회동동)
4th row부산광역시 금정구 삼어로 219 (금사동)
5th row부산광역시 금정구 반송로489번길 36(금사동, 선진제경)
ValueCountFrequency (%)
부산광역시 323
 
17.5%
금정구 323
 
17.5%
금사동 123
 
6.7%
회동동 80
 
4.3%
개좌로 53
 
2.9%
공단동로41번길 21
 
1.1%
10 21
 
1.1%
금사로 19
 
1.0%
부곡동 17
 
0.9%
2층 17
 
0.9%
Other values (462) 847
45.9%
2023-12-11T02:15:29.604637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1529
 
16.2%
금 521
 
5.5%
동 505
 
5.3%
산 368
 
3.9%
부 365
 
3.9%
) 352
 
3.7%
( 352
 
3.7%
구 341
 
3.6%
정 337
 
3.6%
광 329
 
3.5%
Other values (195) 4463
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5622
59.4%
Space Separator 1529
 
16.2%
Decimal Number 1318
 
13.9%
Close Punctuation 352
 
3.7%
Open Punctuation 352
 
3.7%
Other Punctuation 199
 
2.1%
Dash Punctuation 74
 
0.8%
Uppercase Letter 12
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 521
 
9.3%
동 505
 
9.0%
산 368
 
6.5%
부 365
 
6.5%
구 341
 
6.1%
정 337
 
6.0%
광 329
 
5.9%
시 325
 
5.8%
역 323
 
5.7%
로 322
 
5.7%
Other values (173) 1886
33.5%
Decimal Number
ValueCountFrequency (%)
1 292
22.2%
2 204
15.5%
0 135
10.2%
4 134
10.2%
6 112
 
8.5%
3 102
 
7.7%
5 96
 
7.3%
7 88
 
6.7%
9 87
 
6.6%
8 68
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
B 6
50.0%
I 2
 
16.7%
T 1
 
8.3%
N 1
 
8.3%
F 1
 
8.3%
A 1
 
8.3%
Space Separator
ValueCountFrequency (%)
1529
100.0%
Close Punctuation
ValueCountFrequency (%)
) 352
100.0%
Open Punctuation
ValueCountFrequency (%)
( 352
100.0%
Other Punctuation
ValueCountFrequency (%)
, 199
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5622
59.4%
Common 3828
40.5%
Latin 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 521
 
9.3%
동 505
 
9.0%
산 368
 
6.5%
부 365
 
6.5%
구 341
 
6.1%
정 337
 
6.0%
광 329
 
5.9%
시 325
 
5.8%
역 323
 
5.7%
로 322
 
5.7%
Other values (173) 1886
33.5%
Common
ValueCountFrequency (%)
1529
39.9%
) 352
 
9.2%
( 352
 
9.2%
1 292
 
7.6%
2 204
 
5.3%
, 199
 
5.2%
0 135
 
3.5%
4 134
 
3.5%
6 112
 
2.9%
3 102
 
2.7%
Other values (6) 417
 
10.9%
Latin
ValueCountFrequency (%)
B 6
50.0%
I 2
 
16.7%
T 1
 
8.3%
N 1
 
8.3%
F 1
 
8.3%
A 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5622
59.4%
ASCII 3840
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1529
39.8%
) 352
 
9.2%
( 352
 
9.2%
1 292
 
7.6%
2 204
 
5.3%
, 199
 
5.2%
0 135
 
3.5%
4 134
 
3.5%
6 112
 
2.9%
3 102
 
2.7%
Other values (12) 429
 
11.2%
Hangul
ValueCountFrequency (%)
금 521
 
9.3%
동 505
 
9.0%
산 368
 
6.5%
부 365
 
6.5%
구 341
 
6.1%
정 337
 
6.0%
광 329
 
5.9%
시 325
 
5.8%
역 323
 
5.7%
로 322
 
5.7%
Other values (173) 1886
33.5%

업종명
Text

Distinct237
Distinct (%)73.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-11T02:15:30.383818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length23
Mean length17.540373
Min length5

Characters and Unicode

Total characters5648
Distinct characters244
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique185 ?
Unique (%)57.5%

Sample

1st row근무복, 작업복 및 유사의복 제조업 외 25 종
2nd row전투용 차량 제조업 외 14 종
3rd row간판 및 광고물 제조업 외 1 종
4th row간판 및 광고물 제조업 외 3 종
5th row디스플레이 장치용 유리 제조업
ValueCountFrequency (%)
제조업 297
 
15.7%
외 216
 
11.4%
종 177
 
9.4%
및 134
 
7.1%
기타 85
 
4.5%
1 62
 
3.3%
그 39
 
2.1%
2 22
 
1.2%
금속 21
 
1.1%
3 20
 
1.1%
Other values (291) 818
43.3%
2023-12-11T02:15:31.513307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1569
27.8%
제 381
 
6.7%
업 339
 
6.0%
조 324
 
5.7%
외 218
 
3.9%
종 177
 
3.1%
기 169
 
3.0%
및 134
 
2.4%
품 108
 
1.9%
타 85
 
1.5%
Other values (234) 2144
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3835
67.9%
Space Separator 1569
27.8%
Decimal Number 202
 
3.6%
Other Punctuation 38
 
0.7%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 381
 
9.9%
업 339
 
8.8%
조 324
 
8.4%
외 218
 
5.7%
종 177
 
4.6%
기 169
 
4.4%
및 134
 
3.5%
품 108
 
2.8%
타 85
 
2.2%
용 77
 
2.0%
Other values (220) 1823
47.5%
Decimal Number
ValueCountFrequency (%)
1 85
42.1%
2 30
 
14.9%
3 22
 
10.9%
4 20
 
9.9%
5 14
 
6.9%
7 12
 
5.9%
6 6
 
3.0%
9 5
 
2.5%
8 5
 
2.5%
0 3
 
1.5%
Space Separator
ValueCountFrequency (%)
1569
100.0%
Other Punctuation
ValueCountFrequency (%)
, 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3835
67.9%
Common 1813
32.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 381
 
9.9%
업 339
 
8.8%
조 324
 
8.4%
외 218
 
5.7%
종 177
 
4.6%
기 169
 
4.4%
및 134
 
3.5%
품 108
 
2.8%
타 85
 
2.2%
용 77
 
2.0%
Other values (220) 1823
47.5%
Common
ValueCountFrequency (%)
1569
86.5%
1 85
 
4.7%
, 38
 
2.1%
2 30
 
1.7%
3 22
 
1.2%
4 20
 
1.1%
5 14
 
0.8%
7 12
 
0.7%
6 6
 
0.3%
9 5
 
0.3%
Other values (4) 12
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3834
67.9%
ASCII 1813
32.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1569
86.5%
1 85
 
4.7%
, 38
 
2.1%
2 30
 
1.7%
3 22
 
1.2%
4 20
 
1.1%
5 14
 
0.8%
7 12
 
0.7%
6 6
 
0.3%
9 5
 
0.3%
Other values (4) 12
 
0.7%
Hangul
ValueCountFrequency (%)
제 381
 
9.9%
업 339
 
8.8%
조 324
 
8.5%
외 218
 
5.7%
종 177
 
4.6%
기 169
 
4.4%
및 134
 
3.5%
품 108
 
2.8%
타 85
 
2.2%
용 77
 
2.0%
Other values (219) 1822
47.5%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

생산품
Text

Distinct299
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-11T02:15:32.111282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length36
Mean length9.1273292
Min length2

Characters and Unicode

Total characters2939
Distinct characters389
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

Unique291 ?
Unique (%)90.4%

Sample

1st row근무복, 작업복, 유사의복
2nd row자동차부품
3rd row간판
4th row간판 및 광고물
5th row유리가공품
ValueCountFrequency (%)
등 18
 
3.1%
의류 16
 
2.8%
및 13
 
2.3%
자동차부품 9
 
1.6%
간판 6
 
1.0%
작업복 6
 
1.0%
광고물 5
 
0.9%
전자부품 5
 
0.9%
근무복 5
 
0.9%
철구조물 4
 
0.7%
Other values (436) 488
84.9%
2023-12-11T02:15:33.118587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
255
 
8.7%
, 202
 
6.9%
기 95
 
3.2%
자 61
 
2.1%
전 59
 
2.0%
품 55
 
1.9%
제 51
 
1.7%
스 47
 
1.6%
장 45
 
1.5%
부 41
 
1.4%
Other values (379) 2028
69.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2324
79.1%
Space Separator 255
 
8.7%
Other Punctuation 206
 
7.0%
Uppercase Letter 81
 
2.8%
Open Punctuation 24
 
0.8%
Close Punctuation 24
 
0.8%
Lowercase Letter 14
 
0.5%
Decimal Number 7
 
0.2%
Math Symbol 2
 
0.1%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 95
 
4.1%
자 61
 
2.6%
전 59
 
2.5%
품 55
 
2.4%
제 51
 
2.2%
스 47
 
2.0%
장 45
 
1.9%
부 41
 
1.8%
조 33
 
1.4%
용 33
 
1.4%
Other values (341) 1804
77.6%
Uppercase Letter
ValueCountFrequency (%)
C 18
22.2%
V 9
11.1%
D 8
9.9%
E 8
9.9%
T 8
9.9%
P 7
 
8.6%
L 6
 
7.4%
A 5
 
6.2%
S 4
 
4.9%
R 3
 
3.7%
Other values (4) 5
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
r 2
14.3%
i 2
14.3%
g 1
7.1%
b 1
7.1%
a 1
7.1%
t 1
7.1%
e 1
7.1%
l 1
7.1%
f 1
7.1%
p 1
7.1%
Other values (2) 2
14.3%
Decimal Number
ValueCountFrequency (%)
3 2
28.6%
4 2
28.6%
2 1
14.3%
6 1
14.3%
1 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 202
98.1%
. 4
 
1.9%
Space Separator
ValueCountFrequency (%)
255
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Math Symbol
ValueCountFrequency (%)
= 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2324
79.1%
Common 520
 
17.7%
Latin 95
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 95
 
4.1%
자 61
 
2.6%
전 59
 
2.5%
품 55
 
2.4%
제 51
 
2.2%
스 47
 
2.0%
장 45
 
1.9%
부 41
 
1.8%
조 33
 
1.4%
용 33
 
1.4%
Other values (341) 1804
77.6%
Latin
ValueCountFrequency (%)
C 18
18.9%
V 9
9.5%
D 8
8.4%
E 8
8.4%
T 8
8.4%
P 7
 
7.4%
L 6
 
6.3%
A 5
 
5.3%
S 4
 
4.2%
R 3
 
3.2%
Other values (16) 19
20.0%
Common
ValueCountFrequency (%)
255
49.0%
, 202
38.8%
( 24
 
4.6%
) 24
 
4.6%
. 4
 
0.8%
= 2
 
0.4%
- 2
 
0.4%
3 2
 
0.4%
4 2
 
0.4%
2 1
 
0.2%
Other values (2) 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2324
79.1%
ASCII 615
 
20.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
255
41.5%
, 202
32.8%
( 24
 
3.9%
) 24
 
3.9%
C 18
 
2.9%
V 9
 
1.5%
D 8
 
1.3%
E 8
 
1.3%
T 8
 
1.3%
P 7
 
1.1%
Other values (28) 52
 
8.5%
Hangul
ValueCountFrequency (%)
기 95
 
4.1%
자 61
 
2.6%
전 59
 
2.5%
품 55
 
2.4%
제 51
 
2.2%
스 47
 
2.0%
장 45
 
1.9%
부 41
 
1.8%
조 33
 
1.4%
용 33
 
1.4%
Other values (341) 1804
77.6%

Interactions

2023-12-11T02:15:23.469400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-11T02:15:23.811715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:15:24.112255image/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)업종명생산품
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12(주)DH전장최윤창부산광역시 금정구 공단동로41번길 10, 보림팩토피아 407호~411호 (금사동)전투용 차량 제조업 외 14 종자동차부품
23(주)가나에스아이피김병조부산광역시 금정구 금사로 159 (회동동)간판 및 광고물 제조업 외 1 종간판
34(주)가람디자인전승옥부산광역시 금정구 삼어로 219 (금사동)간판 및 광고물 제조업 외 3 종간판 및 광고물
45(주)경동유리제경사박명분부산광역시 금정구 반송로489번길 36(금사동, 선진제경)디스플레이 장치용 유리 제조업유리가공품
56(주)고려식품권동주부산광역시 금정구 공단동로55번길 9 (금사동)가금류 가공 및 저장 처리업 외 2 종포장육,양념육
67(주)그린라이브정대호부산광역시 금정구 공단동로41번길 10, B1층 103 (금사동)비 및 솔 제조업칫솔
78(주)금강부러쉬김민채부산광역시 금정구 수원지로22번길 26 (회동동, 금강부러쉬)일반철물 제조업산업용 부러쉬
89(주)금강제경유리예종일부산광역시 금정구 공단로 31 (금사동)안전유리 제조업 외 6 종거울,유리가공품
910(주)금강제경유리예종일부산광역시 금정구 공단서로18번길 22 (금사동)안전유리 제조업 외 1 종강화유리
순번회사명대표자명공장대표주소(도로명)업종명생산품
312313해성정밀김남숙부산광역시 금정구 공단로 68-21 (금사동)자동차 엔진용 신품 부품 제조업자동차부품가공제조
313314해송판넬박동미부산광역시 금정구 동천로 11 (회동동)벽 및 바닥 피복용 플라스틱제품 제조업화장실 칸막이 자재
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318319협창산업사김의웅부산광역시 금정구 개좌로 91 (금사동, 협창산업사)신발 부분품 제조업신발밑창
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320321훈성산업사이영우부산광역시 금정구 공단로49번길 14 (금사동)포장용 플라스틱 성형용기 제조업플라스틱접시
321322희망복지영남방송(주)김명수부산광역시 금정구 동대로 20, A동 3층 (회동동)교통 신호장치 제조업LED교통신호등, 교통신호제어기기