Overview

Dataset statistics

Number of variables9
Number of observations51
Missing cells21
Missing cells (%)4.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 KiB
Average record size in memory76.6 B

Variable types

Numeric2
Text6
DateTime1

Dataset

Description부산광역시 수영구 기업체(공장 포함) 현황에 대한 데이터로 명칭, 주소, 전화번호, 업종명 항목을 제공합니다.(48건)
URLhttps://www.data.go.kr/data/3044033/fileData.do

Alerts

전화번호 has 8 (15.7%) missing valuesMissing
팩스번호 has 13 (25.5%) missing valuesMissing
순번 has unique valuesUnique
종업원수 has 1 (2.0%) zerosZeros

Reproduction

Analysis started2023-12-12 09:15:32.020248
Analysis finished2023-12-12 09:15:33.978831
Duration1.96 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-12T18:15:34.106785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.5
Q113.5
median26
Q338.5
95-th percentile48.5
Maximum51
Range50
Interquartile range (IQR)25

Descriptive statistics

Standard deviation14.866069
Coefficient of variation (CV)0.57177187
Kurtosis-1.2
Mean26
Median Absolute Deviation (MAD)13
Skewness0
Sum1326
Variance221
MonotonicityStrictly increasing
2023-12-12T18:15:34.333390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
2 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
36 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
51 1
2.0%
50 1
2.0%
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%

회사명
Text

Distinct49
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T18:15:34.661771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length10
Mean length7.0392157
Min length3

Characters and Unicode

Total characters359
Distinct characters124
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

Unique47 ?
Unique (%)92.2%

Sample

1st row(주)광시스템
2nd row(주)다인정보
3rd row(주)동진정보통신
4th row(주)미도물산
5th row(주)바이맘
ValueCountFrequency (%)
주식회사 6
 
9.8%
주)오토텍 2
 
3.3%
동영산업(주 2
 
3.3%
천우조구 1
 
1.6%
코아트 1
 
1.6%
조아해양산업(주 1
 
1.6%
부경 1
 
1.6%
s.y 1
 
1.6%
부산다이스 1
 
1.6%
부산인쇄공사 1
 
1.6%
Other values (44) 44
72.1%
2023-12-12T18:15:35.224026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 33
 
9.2%
( 26
 
7.2%
) 26
 
7.2%
사 12
 
3.3%
스 12
 
3.3%
10
 
2.8%
이 8
 
2.2%
산 7
 
1.9%
회 7
 
1.9%
식 7
 
1.9%
Other values (114) 211
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 283
78.8%
Open Punctuation 26
 
7.2%
Close Punctuation 26
 
7.2%
Space Separator 10
 
2.8%
Uppercase Letter 8
 
2.2%
Other Punctuation 3
 
0.8%
Lowercase Letter 3
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 33
 
11.7%
사 12
 
4.2%
스 12
 
4.2%
이 8
 
2.8%
산 7
 
2.5%
회 7
 
2.5%
식 7
 
2.5%
에 7
 
2.5%
업 6
 
2.1%
정 6
 
2.1%
Other values (99) 178
62.9%
Uppercase Letter
ValueCountFrequency (%)
S 2
25.0%
O 1
12.5%
L 1
12.5%
C 1
12.5%
M 1
12.5%
I 1
12.5%
Y 1
12.5%
Lowercase Letter
ValueCountFrequency (%)
d 1
33.3%
t 1
33.3%
o 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 283
78.8%
Common 65
 
18.1%
Latin 11
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 33
 
11.7%
사 12
 
4.2%
스 12
 
4.2%
이 8
 
2.8%
산 7
 
2.5%
회 7
 
2.5%
식 7
 
2.5%
에 7
 
2.5%
업 6
 
2.1%
정 6
 
2.1%
Other values (99) 178
62.9%
Latin
ValueCountFrequency (%)
S 2
18.2%
O 1
9.1%
d 1
9.1%
t 1
9.1%
L 1
9.1%
o 1
9.1%
C 1
9.1%
M 1
9.1%
I 1
9.1%
Y 1
9.1%
Common
ValueCountFrequency (%)
( 26
40.0%
) 26
40.0%
10
 
15.4%
. 2
 
3.1%
, 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 283
78.8%
ASCII 76
 
21.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 33
 
11.7%
사 12
 
4.2%
스 12
 
4.2%
이 8
 
2.8%
산 7
 
2.5%
회 7
 
2.5%
식 7
 
2.5%
에 7
 
2.5%
업 6
 
2.1%
정 6
 
2.1%
Other values (99) 178
62.9%
ASCII
ValueCountFrequency (%)
( 26
34.2%
) 26
34.2%
10
 
13.2%
. 2
 
2.6%
S 2
 
2.6%
O 1
 
1.3%
d 1
 
1.3%
t 1
 
1.3%
L 1
 
1.3%
, 1
 
1.3%
Other values (5) 5
 
6.6%

공장대표주소(도로명)
Text

Distinct50
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T18:15:35.597781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length36
Mean length31.058824
Min length21

Characters and Unicode

Total characters1584
Distinct characters106
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

Unique49 ?
Unique (%)96.1%

Sample

1st row부산광역시 수영구 광남로 50 (남천동)
2nd row부산광역시 수영구 망미로27번길 42 (광안동)
3rd row부산광역시 수영구 장대골로 75-5, 1층 (광안동)
4th row부산광역시 수영구 수영로487번길 27, 2층 (남천동)
5th row부산광역시 수영구 장대골로 41, 지하1층(광안동, 제이비클래식빌딩)
ValueCountFrequency (%)
부산광역시 51
 
16.9%
수영구 51
 
16.9%
망미동 19
 
6.3%
광안동 13
 
4.3%
1층 7
 
2.3%
2층 5
 
1.7%
수영동 4
 
1.3%
무학로 3
 
1.0%
구락로117번길 3
 
1.0%
2 3
 
1.0%
Other values (115) 142
47.2%
2023-12-12T18:15:36.197068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
250
 
15.8%
영 79
 
5.0%
수 73
 
4.6%
광 70
 
4.4%
구 60
 
3.8%
산 59
 
3.7%
) 57
 
3.6%
( 57
 
3.6%
1 56
 
3.5%
동 54
 
3.4%
Other values (96) 769
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 950
60.0%
Space Separator 250
 
15.8%
Decimal Number 223
 
14.1%
Close Punctuation 57
 
3.6%
Open Punctuation 57
 
3.6%
Other Punctuation 37
 
2.3%
Dash Punctuation 5
 
0.3%
Uppercase Letter 4
 
0.3%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 79
 
8.3%
수 73
 
7.7%
광 70
 
7.4%
구 60
 
6.3%
산 59
 
6.2%
동 54
 
5.7%
부 53
 
5.6%
시 51
 
5.4%
역 51
 
5.4%
로 51
 
5.4%
Other values (76) 349
36.7%
Decimal Number
ValueCountFrequency (%)
1 56
25.1%
2 43
19.3%
3 21
 
9.4%
7 19
 
8.5%
4 19
 
8.5%
5 17
 
7.6%
6 15
 
6.7%
0 14
 
6.3%
9 11
 
4.9%
8 8
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
O 1
25.0%
N 1
25.0%
M 1
25.0%
A 1
25.0%
Space Separator
ValueCountFrequency (%)
250
100.0%
Close Punctuation
ValueCountFrequency (%)
) 57
100.0%
Open Punctuation
ValueCountFrequency (%)
( 57
100.0%
Other Punctuation
ValueCountFrequency (%)
, 37
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 950
60.0%
Common 630
39.8%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 79
 
8.3%
수 73
 
7.7%
광 70
 
7.4%
구 60
 
6.3%
산 59
 
6.2%
동 54
 
5.7%
부 53
 
5.6%
시 51
 
5.4%
역 51
 
5.4%
로 51
 
5.4%
Other values (76) 349
36.7%
Common
ValueCountFrequency (%)
250
39.7%
) 57
 
9.0%
( 57
 
9.0%
1 56
 
8.9%
2 43
 
6.8%
, 37
 
5.9%
3 21
 
3.3%
7 19
 
3.0%
4 19
 
3.0%
5 17
 
2.7%
Other values (6) 54
 
8.6%
Latin
ValueCountFrequency (%)
O 1
25.0%
N 1
25.0%
M 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 950
60.0%
ASCII 634
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
250
39.4%
) 57
 
9.0%
( 57
 
9.0%
1 56
 
8.8%
2 43
 
6.8%
, 37
 
5.8%
3 21
 
3.3%
7 19
 
3.0%
4 19
 
3.0%
5 17
 
2.7%
Other values (10) 58
 
9.1%
Hangul
ValueCountFrequency (%)
영 79
 
8.3%
수 73
 
7.7%
광 70
 
7.4%
구 60
 
6.3%
산 59
 
6.2%
동 54
 
5.7%
부 53
 
5.6%
시 51
 
5.4%
역 51
 
5.4%
로 51
 
5.4%
Other values (76) 349
36.7%

업종명
Text

Distinct48
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T18:15:36.541847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length24
Mean length18.470588
Min length6

Characters and Unicode

Total characters942
Distinct characters134
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

Unique46 ?
Unique (%)90.2%

Sample

1st row방송장비 제조업
2nd row유선 통신장비 제조업 외 10 종
3rd row전시 및 광고용 조명장치 제조업 외 12 종
4th row근무복, 작업복 및 유사의복 제조업 외 3 종
5th row침구 및 관련제품 제조업
ValueCountFrequency (%)
제조업 47
 
15.2%
및 31
 
10.0%
외 31
 
10.0%
종 29
 
9.4%
기타 11
 
3.5%
금속 6
 
1.9%
4 6
 
1.9%
2 5
 
1.6%
통신장비 4
 
1.3%
1 4
 
1.3%
Other values (101) 136
43.9%
2023-12-12T18:15:37.081384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
259
27.5%
제 64
 
6.8%
조 55
 
5.8%
업 52
 
5.5%
외 34
 
3.6%
종 31
 
3.3%
및 31
 
3.3%
기 30
 
3.2%
용 15
 
1.6%
장 15
 
1.6%
Other values (124) 356
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 642
68.2%
Space Separator 259
27.5%
Decimal Number 33
 
3.5%
Other Punctuation 6
 
0.6%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 64
 
10.0%
조 55
 
8.6%
업 52
 
8.1%
외 34
 
5.3%
종 31
 
4.8%
및 31
 
4.8%
기 30
 
4.7%
용 15
 
2.3%
장 15
 
2.3%
품 15
 
2.3%
Other values (111) 300
46.7%
Decimal Number
ValueCountFrequency (%)
1 9
27.3%
4 6
18.2%
2 6
18.2%
6 3
 
9.1%
3 3
 
9.1%
5 2
 
6.1%
7 2
 
6.1%
9 1
 
3.0%
0 1
 
3.0%
Space Separator
ValueCountFrequency (%)
259
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 642
68.2%
Common 300
31.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 64
 
10.0%
조 55
 
8.6%
업 52
 
8.1%
외 34
 
5.3%
종 31
 
4.8%
및 31
 
4.8%
기 30
 
4.7%
용 15
 
2.3%
장 15
 
2.3%
품 15
 
2.3%
Other values (111) 300
46.7%
Common
ValueCountFrequency (%)
259
86.3%
1 9
 
3.0%
, 6
 
2.0%
4 6
 
2.0%
2 6
 
2.0%
6 3
 
1.0%
3 3
 
1.0%
5 2
 
0.7%
7 2
 
0.7%
) 1
 
0.3%
Other values (3) 3
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 642
68.2%
ASCII 300
31.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
259
86.3%
1 9
 
3.0%
, 6
 
2.0%
4 6
 
2.0%
2 6
 
2.0%
6 3
 
1.0%
3 3
 
1.0%
5 2
 
0.7%
7 2
 
0.7%
) 1
 
0.3%
Other values (3) 3
 
1.0%
Hangul
ValueCountFrequency (%)
제 64
 
10.0%
조 55
 
8.6%
업 52
 
8.1%
외 34
 
5.3%
종 31
 
4.8%
및 31
 
4.8%
기 30
 
4.7%
용 15
 
2.3%
장 15
 
2.3%
품 15
 
2.3%
Other values (111) 300
46.7%

사업개시신고일
Date

Distinct50
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum1979-05-15 00:00:00
Maximum2022-11-16 00:00:00
2023-12-12T18:15:37.281658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:15:37.462778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

전화번호
Text

MISSING 

Distinct41
Distinct (%)95.3%
Missing8
Missing (%)15.7%
Memory size540.0 B
2023-12-12T18:15:37.776528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.883721
Min length9

Characters and Unicode

Total characters511
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

Unique39 ?
Unique (%)90.7%

Sample

1st row051-627-9700
2nd row051-626-5454
3rd row051-758-0800
4th row02-337-9126
5th row02-541-3187
ValueCountFrequency (%)
051-314-9603 2
 
4.7%
051-753-8283 2
 
4.7%
051-759-0199 1
 
2.3%
051-753-5356 1
 
2.3%
051-623-3999 1
 
2.3%
051-759-4945 1
 
2.3%
051-751-8700 1
 
2.3%
051-853-1747 1
 
2.3%
051-756-0745 1
 
2.3%
051-752-1868 1
 
2.3%
Other values (31) 31
72.1%
2023-12-12T18:15:38.243913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 85
16.6%
5 84
16.4%
0 78
15.3%
1 70
13.7%
7 39
7.6%
8 35
6.8%
6 28
 
5.5%
4 25
 
4.9%
3 24
 
4.7%
2 22
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 426
83.4%
Dash Punctuation 85
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 84
19.7%
0 78
18.3%
1 70
16.4%
7 39
9.2%
8 35
8.2%
6 28
 
6.6%
4 25
 
5.9%
3 24
 
5.6%
2 22
 
5.2%
9 21
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 85
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 511
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 85
16.6%
5 84
16.4%
0 78
15.3%
1 70
13.7%
7 39
7.6%
8 35
6.8%
6 28
 
5.5%
4 25
 
4.9%
3 24
 
4.7%
2 22
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 511
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 85
16.6%
5 84
16.4%
0 78
15.3%
1 70
13.7%
7 39
7.6%
8 35
6.8%
6 28
 
5.5%
4 25
 
4.9%
3 24
 
4.7%
2 22
 
4.3%

팩스번호
Text

MISSING 

Distinct38
Distinct (%)100.0%
Missing13
Missing (%)25.5%
Memory size540.0 B
2023-12-12T18:15:38.536181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.026316
Min length11

Characters and Unicode

Total characters457
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

Unique38 ?
Unique (%)100.0%

Sample

1st row051-656-5850
2nd row051-755-3939
3rd row051-7967-8928
4th row02-515-3565
5th row051-719-9667
ValueCountFrequency (%)
051-818-2002 1
 
2.6%
051-754-0964 1
 
2.6%
051-805-1229 1
 
2.6%
051-853-1746 1
 
2.6%
051-754-2930 1
 
2.6%
051-752-1833 1
 
2.6%
051-865-8808 1
 
2.6%
051-753-8185 1
 
2.6%
051-751-9694 1
 
2.6%
051-628-9628 1
 
2.6%
Other values (28) 28
73.7%
2023-12-12T18:15:39.029164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 76
16.6%
5 75
16.4%
0 66
14.4%
1 63
13.8%
7 38
8.3%
8 31
6.8%
6 27
 
5.9%
9 26
 
5.7%
2 23
 
5.0%
4 17
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 381
83.4%
Dash Punctuation 76
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 75
19.7%
0 66
17.3%
1 63
16.5%
7 38
10.0%
8 31
8.1%
6 27
 
7.1%
9 26
 
6.8%
2 23
 
6.0%
4 17
 
4.5%
3 15
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 457
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 76
16.6%
5 75
16.4%
0 66
14.4%
1 63
13.8%
7 38
8.3%
8 31
6.8%
6 27
 
5.9%
9 26
 
5.7%
2 23
 
5.0%
4 17
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 457
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 76
16.6%
5 75
16.4%
0 66
14.4%
1 63
13.8%
7 38
8.3%
8 31
6.8%
6 27
 
5.9%
9 26
 
5.7%
2 23
 
5.0%
4 17
 
3.7%

종업원수
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)37.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.196078
Minimum0
Maximum44
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-12T18:15:39.163768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median7
Q311.5
95-th percentile38
Maximum44
Range44
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation10.707044
Coefficient of variation (CV)1.0501139
Kurtosis3.4015041
Mean10.196078
Median Absolute Deviation (MAD)4
Skewness2.0192486
Sum520
Variance114.64078
MonotonicityNot monotonic
2023-12-12T18:15:39.299578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2 7
13.7%
4 6
11.8%
8 6
11.8%
5 5
9.8%
6 3
 
5.9%
11 3
 
5.9%
10 3
 
5.9%
15 3
 
5.9%
12 3
 
5.9%
38 2
 
3.9%
Other values (9) 10
19.6%
ValueCountFrequency (%)
0 1
 
2.0%
1 1
 
2.0%
2 7
13.7%
3 2
 
3.9%
4 6
11.8%
5 5
9.8%
6 3
5.9%
7 1
 
2.0%
8 6
11.8%
10 3
5.9%
ValueCountFrequency (%)
44 1
 
2.0%
41 1
 
2.0%
38 2
3.9%
34 1
 
2.0%
25 1
 
2.0%
15 3
5.9%
13 1
 
2.0%
12 3
5.9%
11 3
5.9%
10 3
5.9%

생산품
Text

Distinct49
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T18:15:39.532653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length29
Mean length13.431373
Min length2

Characters and Unicode

Total characters685
Distinct characters209
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

Unique47 ?
Unique (%)92.2%

Sample

1st rowCCTV
2nd row전자교환기, IP전화기, CCTV 및 영상감시장치, 전광판, 방송장비, 출입통제 시스템, 컴퓨터 및 주변기기,
3rd rowCCTV, 전광판, 교환기, 방송장비, 출입통제, 계장(계측)제어장치
4th row의류
5th row난방 텐트, 모기장 텐트
ValueCountFrequency (%)
및 8
 
6.3%
cctv 5
 
4.0%
등 5
 
4.0%
자동제어반 3
 
2.4%
방송장비 3
 
2.4%
영상감시장치 3
 
2.4%
외 3
 
2.4%
간판 3
 
2.4%
출입통제 2
 
1.6%
텐트 2
 
1.6%
Other values (85) 89
70.6%
2023-12-12T18:15:39.996610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
77
 
11.2%
, 66
 
9.6%
기 29
 
4.2%
장 17
 
2.5%
C 16
 
2.3%
제 13
 
1.9%
비 12
 
1.8%
전 11
 
1.6%
판 11
 
1.6%
자 9
 
1.3%
Other values (199) 424
61.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 483
70.5%
Space Separator 77
 
11.2%
Other Punctuation 67
 
9.8%
Uppercase Letter 39
 
5.7%
Lowercase Letter 12
 
1.8%
Close Punctuation 3
 
0.4%
Open Punctuation 3
 
0.4%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 29
 
6.0%
장 17
 
3.5%
제 13
 
2.7%
비 12
 
2.5%
전 11
 
2.3%
판 11
 
2.3%
자 9
 
1.9%
및 8
 
1.7%
방 8
 
1.7%
광 8
 
1.7%
Other values (172) 357
73.9%
Lowercase Letter
ValueCountFrequency (%)
n 2
16.7%
d 1
8.3%
i 1
8.3%
k 1
8.3%
o 1
8.3%
s 1
8.3%
f 1
8.3%
r 1
8.3%
a 1
8.3%
m 1
8.3%
Uppercase Letter
ValueCountFrequency (%)
C 16
41.0%
V 8
20.5%
T 8
20.5%
I 1
 
2.6%
O 1
 
2.6%
D 1
 
2.6%
E 1
 
2.6%
L 1
 
2.6%
K 1
 
2.6%
P 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 66
98.5%
. 1
 
1.5%
Space Separator
ValueCountFrequency (%)
77
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 483
70.5%
Common 151
 
22.0%
Latin 51
 
7.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 29
 
6.0%
장 17
 
3.5%
제 13
 
2.7%
비 12
 
2.5%
전 11
 
2.3%
판 11
 
2.3%
자 9
 
1.9%
및 8
 
1.7%
방 8
 
1.7%
광 8
 
1.7%
Other values (172) 357
73.9%
Latin
ValueCountFrequency (%)
C 16
31.4%
V 8
15.7%
T 8
15.7%
n 2
 
3.9%
d 1
 
2.0%
i 1
 
2.0%
k 1
 
2.0%
o 1
 
2.0%
s 1
 
2.0%
f 1
 
2.0%
Other values (11) 11
21.6%
Common
ValueCountFrequency (%)
77
51.0%
, 66
43.7%
) 3
 
2.0%
( 3
 
2.0%
- 1
 
0.7%
. 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 483
70.5%
ASCII 202
29.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
77
38.1%
, 66
32.7%
C 16
 
7.9%
V 8
 
4.0%
T 8
 
4.0%
) 3
 
1.5%
( 3
 
1.5%
n 2
 
1.0%
d 1
 
0.5%
i 1
 
0.5%
Other values (17) 17
 
8.4%
Hangul
ValueCountFrequency (%)
기 29
 
6.0%
장 17
 
3.5%
제 13
 
2.7%
비 12
 
2.5%
전 11
 
2.3%
판 11
 
2.3%
자 9
 
1.9%
및 8
 
1.7%
방 8
 
1.7%
광 8
 
1.7%
Other values (172) 357
73.9%

Interactions

2023-12-12T18:15:33.302902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:15:33.110799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:15:33.413366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:15:33.196776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:15:40.123667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번회사명공장대표주소(도로명)업종명사업개시신고일전화번호팩스번호종업원수생산품
순번1.0001.0000.9550.8240.9551.0001.0000.2820.969
회사명1.0001.0000.9890.9690.9891.0001.0001.0000.999
공장대표주소(도로명)0.9550.9891.0001.0001.0000.9851.0001.0000.989
업종명0.8240.9691.0001.0001.0000.9831.0000.9840.981
사업개시신고일0.9550.9891.0001.0001.0000.9851.0001.0000.989
전화번호1.0001.0000.9850.9830.9851.0001.0001.0000.998
팩스번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
종업원수0.2821.0001.0000.9841.0001.0001.0001.0000.876
생산품0.9690.9990.9890.9810.9890.9981.0000.8761.000
2023-12-12T18:15:40.294175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종업원수
순번1.000-0.032
종업원수-0.0321.000

Missing values

2023-12-12T18:15:33.596030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:15:33.777210image/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.
2023-12-12T18:15:33.909172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

순번회사명공장대표주소(도로명)업종명사업개시신고일전화번호팩스번호종업원수생산품
01(주)광시스템부산광역시 수영구 광남로 50 (남천동)방송장비 제조업2014-11-28051-627-9700<NA>4CCTV
12(주)다인정보부산광역시 수영구 망미로27번길 42 (광안동)유선 통신장비 제조업 외 10 종2019-02-08051-626-5454051-656-585011전자교환기, IP전화기, CCTV 및 영상감시장치, 전광판, 방송장비, 출입통제 시스템, 컴퓨터 및 주변기기,
23(주)동진정보통신부산광역시 수영구 장대골로 75-5, 1층 (광안동)전시 및 광고용 조명장치 제조업 외 12 종2016-06-17051-758-0800051-755-393912CCTV, 전광판, 교환기, 방송장비, 출입통제, 계장(계측)제어장치
34(주)미도물산부산광역시 수영구 수영로487번길 27, 2층 (남천동)근무복, 작업복 및 유사의복 제조업 외 3 종2017-07-0402-337-9126<NA>15의류
45(주)바이맘부산광역시 수영구 장대골로 41, 지하1층(광안동, 제이비클래식빌딩)침구 및 관련제품 제조업2022-03-31<NA>051-7967-89288난방 텐트, 모기장 텐트
56(주)반도아이엔씨부산광역시 수영구 망미번영로55번길 99, 3층 (망미동, 리치부엌가구)셔츠 및 블라우스 제조업 외 6 종2020-01-1302-541-318702-515-35658셔츠 및 체육복
67(주)비트엘앤디부산광역시 수영구 수영로642번길 77 (광안동)기타 조명장치 제조업 외 7 종2007-01-17051-757-8778<NA>8LED조명장치
78(주)엠지에이치부산광역시 수영구 망미로 4, 3층(망미동)육류 포장육 및 냉동육 가공업 (가금류 제외)2022-01-19051-866-4750051-719-96675양념육, 포장육
89(주)오토텍부산광역시 수영구 장대골로31번길 16-1 (광안동)배전반 및 전기 자동제어반 제조업 외 2 종2012-02-13051-314-9603051-314-90066자동제어반 외
910(주)오토텍부산광역시 수영구 장대골로31번길 16 (광안동)전기회로 접속장치 제조업 외 2 종2018-01-12051-314-9603051-314-96068자동제어반, CCTV 외
순번회사명공장대표주소(도로명)업종명사업개시신고일전화번호팩스번호종업원수생산품
4142주식회사 무스마부산광역시 수영구 망미번영로52번길 3, 2~4층(수영동)기타 무선 통신장비 제조업2022-01-18<NA>050-7074-998241산업용 무선통신단말기, 게이트웨이
4243주식회사 신우정보기술부산광역시 수영구 망미번영로85번길 25 (망미동) 4층유선 통신장비 제조업 외 6 종2020-07-21051-851-0459051-852-04595감시카메라, 영상감시장치, 방송장비, 무선장비, 컴퓨터제조, 전기설비 및 자동제어설비, 기타음향기기, 기타주변기기
4344주식회사 에스탑부산광역시 수영구 구락로 107 (망미동)어망 및 기타 끈 가공품 제조업 외 1 종2013-09-05051-754-5353<NA>34안전모,안젠대
4445주식회사 이즈모(ISMO Co., Ltd)부산광역시 수영구 구락로117번길 14, 2층(망미동, 동영산업(주))전자기 측정, 시험 및 분석기구 제조업 외 6 종2021-07-23<NA><NA>5분석장비
4546주식회사 코아트부산광역시 수영구 망미번영로52번길 94, 1층(수영동)기타 종이 상자 및 용기 제조업2021-07-20<NA>051-754-72348커피봉투
4647천우조구부산광역시 수영구 구락로 26-6 (수영동)낚시 및 수렵용구 제조업1979-05-15051-757-0126051-753-20082낚시바늘
4748코리아푸드부산광역시 수영구 무학로 44, 1층 (광안동)가금류 가공 및 저장 처리업 외 2 종2019-01-30051-759-0199051-759-01774오리불고기, 막창
4849태화산업사부산광역시 수영구 좌수영로179번길 9 (망미동, 태화산업사)박판, 합판 및 유사 적층판 제조업1997-04-23051-754-3288051-752-21915합판,단판
4950티엘엔지니어링(주)부산광역시 수영구 민락본동로 29-1 (민락동) 1층금속 문, 창, 셔터 및 관련제품 제조업 외 4 종2020-06-22051-623-3999051-623-422238금속제 창, 조형물, 소음기, 간판, 실물모형
5051현대후렘부산광역시 수영구 좌수영로210번길 36 (망미동, 현대후램)구조용 금속 판제품 및 공작물 제조업 외 4 종1997-11-21051-751-0488051-759-048813간판 frame,알미늄금속명패,도로표지판