Overview

Dataset statistics

Number of variables8
Number of observations73
Missing cells17
Missing cells (%)2.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory66.8 B

Variable types

Numeric1
Text5
Categorical1
DateTime1

Dataset

Description인천광역시 서구에 위치한 전자부품 제조업체에 관한 데이터셋입니다. 인천광역시 서구에 위치한 전자부품 제조업체의 회사명, 생산품, 업종명, 대표주소, 전화번호, 팩스번호에 관한 정보를 포함하고 있습니다.
Author인천광역시 서구
URLhttps://www.data.go.kr/data/15089586/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
대표주소 has 2 (2.7%) missing valuesMissing
전화번호 has 7 (9.6%) missing valuesMissing
팩스번호 has 8 (11.0%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:34:13.757086
Analysis finished2023-12-12 15:34:15.156928
Duration1.4 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct73
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37
Minimum1
Maximum73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2023-12-13T00:34:15.248046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.6
Q119
median37
Q355
95-th percentile69.4
Maximum73
Range72
Interquartile range (IQR)36

Descriptive statistics

Standard deviation21.217131
Coefficient of variation (CV)0.57343598
Kurtosis-1.2
Mean37
Median Absolute Deviation (MAD)18
Skewness0
Sum2701
Variance450.16667
MonotonicityStrictly increasing
2023-12-13T00:34:15.446217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
56 1
 
1.4%
54 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
Other values (63) 63
86.3%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
73 1
1.4%
72 1
1.4%
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%

회사명
Text

Distinct71
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size716.0 B
2023-12-13T00:34:15.833271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length6.9315068
Min length3

Characters and Unicode

Total characters506
Distinct characters138
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

Unique69 ?
Unique (%)94.5%

Sample

1st row(주)기인테크
2nd row(주)뉴로시스
3rd row(주)동우콘트롤
4th row(주)라비닉스
5th row(주)분성하이테크
ValueCountFrequency (%)
동서기공 2
 
2.5%
tester 2
 
2.5%
fine 2
 
2.5%
주)아모텍 2
 
2.5%
싱크프리 1
 
1.3%
원진물산(주 1
 
1.3%
우생공업 1
 
1.3%
엘티메탈(주 1
 
1.3%
에이치케이트레이딩(주 1
 
1.3%
알파나인 1
 
1.3%
Other values (65) 65
82.3%
2023-12-13T00:34:16.322232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 43
 
8.5%
( 40
 
7.9%
) 40
 
7.9%
크 18
 
3.6%
테 16
 
3.2%
스 14
 
2.8%
이 12
 
2.4%
전 11
 
2.2%
E 10
 
2.0%
에 9
 
1.8%
Other values (128) 293
57.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 376
74.3%
Uppercase Letter 42
 
8.3%
Open Punctuation 40
 
7.9%
Close Punctuation 40
 
7.9%
Space Separator 6
 
1.2%
Decimal Number 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 43
 
11.4%
크 18
 
4.8%
테 16
 
4.3%
스 14
 
3.7%
이 12
 
3.2%
전 11
 
2.9%
에 9
 
2.4%
자 9
 
2.4%
공 9
 
2.4%
업 8
 
2.1%
Other values (112) 227
60.4%
Uppercase Letter
ValueCountFrequency (%)
E 10
23.8%
T 6
14.3%
N 6
14.3%
S 4
 
9.5%
I 4
 
9.5%
G 3
 
7.1%
R 3
 
7.1%
F 2
 
4.8%
M 1
 
2.4%
Y 1
 
2.4%
Other values (2) 2
 
4.8%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 376
74.3%
Common 88
 
17.4%
Latin 42
 
8.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 43
 
11.4%
크 18
 
4.8%
테 16
 
4.3%
스 14
 
3.7%
이 12
 
3.2%
전 11
 
2.9%
에 9
 
2.4%
자 9
 
2.4%
공 9
 
2.4%
업 8
 
2.1%
Other values (112) 227
60.4%
Latin
ValueCountFrequency (%)
E 10
23.8%
T 6
14.3%
N 6
14.3%
S 4
 
9.5%
I 4
 
9.5%
G 3
 
7.1%
R 3
 
7.1%
F 2
 
4.8%
M 1
 
2.4%
Y 1
 
2.4%
Other values (2) 2
 
4.8%
Common
ValueCountFrequency (%)
( 40
45.5%
) 40
45.5%
6
 
6.8%
1 2
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 376
74.3%
ASCII 130
 
25.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 43
 
11.4%
크 18
 
4.8%
테 16
 
4.3%
스 14
 
3.7%
이 12
 
3.2%
전 11
 
2.9%
에 9
 
2.4%
자 9
 
2.4%
공 9
 
2.4%
업 8
 
2.1%
Other values (112) 227
60.4%
ASCII
ValueCountFrequency (%)
( 40
30.8%
) 40
30.8%
E 10
 
7.7%
T 6
 
4.6%
6
 
4.6%
N 6
 
4.6%
S 4
 
3.1%
I 4
 
3.1%
G 3
 
2.3%
R 3
 
2.3%
Other values (6) 8
 
6.2%

생산품
Text

Distinct62
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Memory size716.0 B
2023-12-13T00:34:16.638188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length18
Mean length9
Min length2

Characters and Unicode

Total characters657
Distinct characters184
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

Unique58 ?
Unique (%)79.5%

Sample

1st row양면테이프
2nd rowPCB Controller
3rd row전자부품
4th rowpba
5th row전자부품, 에어컨부품, 자동차부품
ValueCountFrequency (%)
전자부품 16
 
12.9%
부품 4
 
3.2%
pcb 3
 
2.4%
방열판 2
 
1.6%
제어보드 2
 
1.6%
등 2
 
1.6%
controller 2
 
1.6%
smt 2
 
1.6%
인쇄회로기판 2
 
1.6%
롤 1
 
0.8%
Other values (88) 88
71.0%
2023-12-13T00:34:17.067119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
51
 
7.8%
전 34
 
5.2%
부 32
 
4.9%
품 32
 
4.9%
, 29
 
4.4%
자 27
 
4.1%
기 25
 
3.8%
C 12
 
1.8%
판 10
 
1.5%
E 8
 
1.2%
Other values (174) 397
60.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 444
67.6%
Uppercase Letter 96
 
14.6%
Space Separator 51
 
7.8%
Other Punctuation 31
 
4.7%
Lowercase Letter 26
 
4.0%
Open Punctuation 4
 
0.6%
Close Punctuation 4
 
0.6%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 34
 
7.7%
부 32
 
7.2%
품 32
 
7.2%
자 27
 
6.1%
기 25
 
5.6%
판 10
 
2.3%
용 8
 
1.8%
드 8
 
1.8%
장 8
 
1.8%
트 8
 
1.8%
Other values (132) 252
56.8%
Uppercase Letter
ValueCountFrequency (%)
C 12
12.5%
E 8
 
8.3%
B 7
 
7.3%
O 7
 
7.3%
T 7
 
7.3%
S 7
 
7.3%
L 6
 
6.2%
R 6
 
6.2%
P 6
 
6.2%
D 5
 
5.2%
Other values (12) 25
26.0%
Lowercase Letter
ValueCountFrequency (%)
l 5
19.2%
e 3
11.5%
r 3
11.5%
o 3
11.5%
t 2
 
7.7%
n 2
 
7.7%
a 2
 
7.7%
i 1
 
3.8%
h 1
 
3.8%
s 1
 
3.8%
Other values (3) 3
11.5%
Other Punctuation
ValueCountFrequency (%)
, 29
93.5%
. 1
 
3.2%
/ 1
 
3.2%
Space Separator
ValueCountFrequency (%)
51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 444
67.6%
Latin 122
 
18.6%
Common 91
 
13.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 34
 
7.7%
부 32
 
7.2%
품 32
 
7.2%
자 27
 
6.1%
기 25
 
5.6%
판 10
 
2.3%
용 8
 
1.8%
드 8
 
1.8%
장 8
 
1.8%
트 8
 
1.8%
Other values (132) 252
56.8%
Latin
ValueCountFrequency (%)
C 12
 
9.8%
E 8
 
6.6%
B 7
 
5.7%
O 7
 
5.7%
T 7
 
5.7%
S 7
 
5.7%
L 6
 
4.9%
R 6
 
4.9%
P 6
 
4.9%
l 5
 
4.1%
Other values (25) 51
41.8%
Common
ValueCountFrequency (%)
51
56.0%
, 29
31.9%
( 4
 
4.4%
) 4
 
4.4%
. 1
 
1.1%
3 1
 
1.1%
/ 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 444
67.6%
ASCII 213
32.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
51
23.9%
, 29
 
13.6%
C 12
 
5.6%
E 8
 
3.8%
B 7
 
3.3%
O 7
 
3.3%
T 7
 
3.3%
S 7
 
3.3%
L 6
 
2.8%
R 6
 
2.8%
Other values (32) 73
34.3%
Hangul
ValueCountFrequency (%)
전 34
 
7.7%
부 32
 
7.2%
품 32
 
7.2%
자 27
 
6.1%
기 25
 
5.6%
판 10
 
2.3%
용 8
 
1.8%
드 8
 
1.8%
장 8
 
1.8%
트 8
 
1.8%
Other values (132) 252
56.8%

업종명
Categorical

Distinct8
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size716.0 B
그 외 기타 전자부품 제조업 외 1 종
27 
그 외 기타 전자부품 제조업
23 
전자부품 실장기판 제조업
12 
전자부품 실장기판 제조업 외 1 종
4 
그 외 기타 전자부품 제조업 외 3 종
3 
Other values (3)
4 

Length

Max length21
Median length19
Mean length17.657534
Min length13

Unique

Unique2 ?
Unique (%)2.7%

Sample

1st row그 외 기타 전자부품 제조업
2nd row그 외 기타 전자부품 제조업 외 1 종
3rd row전자부품 실장기판 제조업
4th row전자부품 실장기판 제조업
5th row그 외 기타 전자부품 제조업 외 1 종

Common Values

ValueCountFrequency (%)
그 외 기타 전자부품 제조업 외 1 종 27
37.0%
그 외 기타 전자부품 제조업 23
31.5%
전자부품 실장기판 제조업 12
16.4%
전자부품 실장기판 제조업 외 1 종 4
 
5.5%
그 외 기타 전자부품 제조업 외 3 종 3
 
4.1%
그 외 기타 전자부품 제조업 외 2 종 2
 
2.7%
전자부품 실장기판 제조업 외 3 종 1
 
1.4%
그 외 기타 전자부품 제조업 외 7 종 1
 
1.4%

Length

2023-12-13T00:34:17.248522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:34:17.426913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외 94
21.1%
전자부품 73
16.4%
제조업 73
16.4%
그 56
12.6%
기타 56
12.6%
종 38
8.5%
1 31
 
7.0%
실장기판 17
 
3.8%
3 4
 
0.9%
2 2
 
0.4%

대표주소
Text

MISSING 

Distinct67
Distinct (%)94.4%
Missing2
Missing (%)2.7%
Memory size716.0 B
2023-12-13T00:34:17.818513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length43
Mean length30.042254
Min length20

Characters and Unicode

Total characters2133
Distinct characters117
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

Unique64 ?
Unique (%)90.1%

Sample

1st row인천광역시 서구 봉수대로161번길 36(가좌동)
2nd row인천광역시 서구 가재울로 119 (가좌동)
3rd row인천광역시 서구 가남로 61, 301호,302호,303호,316호,317호호(가좌동, 토지산업2차 지식산업센터) 301호,302호,303호,316호,317호호
4th row인천광역시 서구 건지로109번길 49-1 (석남동, 청구공업(주))
5th row인천광역시 서구 백범로678번길 30 (가좌동)
ValueCountFrequency (%)
인천광역시 71
 
16.7%
서구 71
 
16.7%
가좌동 34
 
8.0%
오류동 12
 
2.8%
1동 8
 
1.9%
석남동 7
 
1.6%
검단로 6
 
1.4%
23 5
 
1.2%
외 5
 
1.2%
1필지 4
 
0.9%
Other values (149) 202
47.5%
2023-12-13T00:34:18.303605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
354
 
16.6%
1 94
 
4.4%
동 86
 
4.0%
천 73
 
3.4%
서 73
 
3.4%
인 73
 
3.4%
구 72
 
3.4%
( 72
 
3.4%
) 72
 
3.4%
시 71
 
3.3%
Other values (107) 1093
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1191
55.8%
Decimal Number 381
 
17.9%
Space Separator 354
 
16.6%
Open Punctuation 72
 
3.4%
Close Punctuation 72
 
3.4%
Other Punctuation 40
 
1.9%
Dash Punctuation 13
 
0.6%
Uppercase Letter 10
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 86
 
7.2%
천 73
 
6.1%
서 73
 
6.1%
인 73
 
6.1%
구 72
 
6.0%
시 71
 
6.0%
로 71
 
6.0%
역 71
 
6.0%
광 71
 
6.0%
가 54
 
4.5%
Other values (86) 476
40.0%
Decimal Number
ValueCountFrequency (%)
1 94
24.7%
2 47
12.3%
3 44
11.5%
0 34
 
8.9%
4 31
 
8.1%
5 31
 
8.1%
7 27
 
7.1%
6 27
 
7.1%
8 26
 
6.8%
9 20
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
B 6
60.0%
A 1
 
10.0%
S 1
 
10.0%
T 1
 
10.0%
M 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 39
97.5%
& 1
 
2.5%
Space Separator
ValueCountFrequency (%)
354
100.0%
Open Punctuation
ValueCountFrequency (%)
( 72
100.0%
Close Punctuation
ValueCountFrequency (%)
) 72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1191
55.8%
Common 932
43.7%
Latin 10
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 86
 
7.2%
천 73
 
6.1%
서 73
 
6.1%
인 73
 
6.1%
구 72
 
6.0%
시 71
 
6.0%
로 71
 
6.0%
역 71
 
6.0%
광 71
 
6.0%
가 54
 
4.5%
Other values (86) 476
40.0%
Common
ValueCountFrequency (%)
354
38.0%
1 94
 
10.1%
( 72
 
7.7%
) 72
 
7.7%
2 47
 
5.0%
3 44
 
4.7%
, 39
 
4.2%
0 34
 
3.6%
4 31
 
3.3%
5 31
 
3.3%
Other values (6) 114
 
12.2%
Latin
ValueCountFrequency (%)
B 6
60.0%
A 1
 
10.0%
S 1
 
10.0%
T 1
 
10.0%
M 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1191
55.8%
ASCII 942
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
354
37.6%
1 94
 
10.0%
( 72
 
7.6%
) 72
 
7.6%
2 47
 
5.0%
3 44
 
4.7%
, 39
 
4.1%
0 34
 
3.6%
4 31
 
3.3%
5 31
 
3.3%
Other values (11) 124
 
13.2%
Hangul
ValueCountFrequency (%)
동 86
 
7.2%
천 73
 
6.1%
서 73
 
6.1%
인 73
 
6.1%
구 72
 
6.0%
시 71
 
6.0%
로 71
 
6.0%
역 71
 
6.0%
광 71
 
6.0%
가 54
 
4.5%
Other values (86) 476
40.0%

전화번호
Text

MISSING 

Distinct62
Distinct (%)93.9%
Missing7
Missing (%)9.6%
Memory size716.0 B
2023-12-13T00:34:18.568447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.984848
Min length11

Characters and Unicode

Total characters791
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

Unique59 ?
Unique (%)89.4%

Sample

1st row032-577-8066
2nd row032-578-7001
3rd row032-581-8900
4th row032-766-3336
5th row032-577-2993
ValueCountFrequency (%)
032-567-8005 3
 
4.5%
032-812-6414 2
 
3.0%
032-581-6132 2
 
3.0%
032-572-8935 1
 
1.5%
032-577-0240 1
 
1.5%
032-811-6044 1
 
1.5%
032-578-1201 1
 
1.5%
032-578-9025 1
 
1.5%
032-816-0552 1
 
1.5%
032-569-0305 1
 
1.5%
Other values (52) 52
78.8%
2023-12-13T00:34:18.982577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 132
16.7%
0 112
14.2%
2 112
14.2%
3 98
12.4%
5 79
10.0%
7 67
8.5%
8 55
7.0%
1 48
 
6.1%
6 41
 
5.2%
4 28
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 659
83.3%
Dash Punctuation 132
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 112
17.0%
2 112
17.0%
3 98
14.9%
5 79
12.0%
7 67
10.2%
8 55
8.3%
1 48
7.3%
6 41
 
6.2%
4 28
 
4.2%
9 19
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 791
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 132
16.7%
0 112
14.2%
2 112
14.2%
3 98
12.4%
5 79
10.0%
7 67
8.5%
8 55
7.0%
1 48
 
6.1%
6 41
 
5.2%
4 28
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 791
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 132
16.7%
0 112
14.2%
2 112
14.2%
3 98
12.4%
5 79
10.0%
7 67
8.5%
8 55
7.0%
1 48
 
6.1%
6 41
 
5.2%
4 28
 
3.5%

팩스번호
Text

MISSING 

Distinct61
Distinct (%)93.8%
Missing8
Missing (%)11.0%
Memory size716.0 B
2023-12-13T00:34:19.237311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12
Min length11

Characters and Unicode

Total characters780
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

Unique58 ?
Unique (%)89.2%

Sample

1st row032-583-8066
2nd row032-578-7008
3rd row032-581-8311
4th row032-577-2990
5th row032-507-8307
ValueCountFrequency (%)
032-567-8004 3
 
4.6%
032-812-6415 2
 
3.1%
032-582-5613 2
 
3.1%
032-573-2019 1
 
1.5%
032-572-8937 1
 
1.5%
032-565-2885 1
 
1.5%
032-554-1646 1
 
1.5%
032-582-8716 1
 
1.5%
032-816-0557 1
 
1.5%
032-569-0310 1
 
1.5%
Other values (51) 51
78.5%
2023-12-13T00:34:19.644204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 130
16.7%
0 106
13.6%
2 106
13.6%
3 100
12.8%
5 78
10.0%
7 64
8.2%
8 55
7.1%
1 41
 
5.3%
6 40
 
5.1%
4 34
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 650
83.3%
Dash Punctuation 130
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 106
16.3%
2 106
16.3%
3 100
15.4%
5 78
12.0%
7 64
9.8%
8 55
8.5%
1 41
 
6.3%
6 40
 
6.2%
4 34
 
5.2%
9 26
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 130
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 780
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 130
16.7%
0 106
13.6%
2 106
13.6%
3 100
12.8%
5 78
10.0%
7 64
8.2%
8 55
7.1%
1 41
 
5.3%
6 40
 
5.1%
4 34
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 780
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 130
16.7%
0 106
13.6%
2 106
13.6%
3 100
12.8%
5 78
10.0%
7 64
8.2%
8 55
7.1%
1 41
 
5.3%
6 40
 
5.1%
4 34
 
4.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size716.0 B
Minimum2022-09-19 00:00:00
Maximum2022-09-19 00:00:00
2023-12-13T00:34:19.764519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:34:19.871264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T00:34:14.606664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:34:19.956128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번회사명생산품업종명대표주소전화번호팩스번호
순번1.0000.9730.5680.4350.9410.9460.944
회사명0.9731.0000.9941.0000.9911.0001.000
생산품0.5680.9941.0000.8120.9890.9860.985
업종명0.4351.0000.8121.0000.9631.0001.000
대표주소0.9410.9910.9890.9631.0000.9950.995
전화번호0.9461.0000.9861.0000.9951.0001.000
팩스번호0.9441.0000.9851.0000.9951.0001.000
2023-12-13T00:34:20.065251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번업종명
순번1.0000.217
업종명0.2171.000

Missing values

2023-12-13T00:34:14.801605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:34:14.967936image/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.
2023-12-13T00:34:15.094977image/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

순번회사명생산품업종명대표주소전화번호팩스번호데이터기준일자
01(주)기인테크양면테이프그 외 기타 전자부품 제조업인천광역시 서구 봉수대로161번길 36(가좌동)032-577-8066032-583-80662022-09-19
12(주)뉴로시스PCB Controller그 외 기타 전자부품 제조업 외 1 종인천광역시 서구 가재울로 119 (가좌동)032-578-7001032-578-70082022-09-19
23(주)동우콘트롤전자부품전자부품 실장기판 제조업인천광역시 서구 가남로 61, 301호,302호,303호,316호,317호호(가좌동, 토지산업2차 지식산업센터) 301호,302호,303호,316호,317호호032-581-8900032-581-83112022-09-19
34(주)라비닉스pba전자부품 실장기판 제조업<NA>032-766-3336<NA>2022-09-19
45(주)분성하이테크전자부품, 에어컨부품, 자동차부품그 외 기타 전자부품 제조업 외 1 종인천광역시 서구 건지로109번길 49-1 (석남동, 청구공업(주))032-577-2993032-577-29902022-09-19
56(주)성진정밀전자부품(방열판)그 외 기타 전자부품 제조업 외 1 종인천광역시 서구 백범로678번길 30 (가좌동)032-507-8308032-507-83072022-09-19
67(주)아모그린텍AMB 기판그 외 기타 전자부품 제조업인천광역시 서구 검단로 57 (오류동)032-567-8005032-567-80042022-09-19
78(주)아모텍전자부품그 외 기타 전자부품 제조업인천광역시 서구 검단로 57 (오류동)032-567-8005032-567-80042022-09-19
89(주)아모텍 원료공장페라이트그 외 기타 전자부품 제조업인천광역시 서구 마중로 171 (오류동)032-567-8005032-567-80042022-09-19
910(주)알에스텍전자부품그 외 기타 전자부품 제조업 외 1 종인천광역시 서구 가정로151번길 25-1 (가좌동)032-583-2228032-583-22292022-09-19
순번회사명생산품업종명대표주소전화번호팩스번호데이터기준일자
6364초이스테크(주)전자부품, 미용기기전자부품 실장기판 제조업 외 1 종인천광역시 서구 가좌로12번길 23, 2층 (가좌동)032-573-2432032-583-24322022-09-19
6465태광특수배선전자부품.절연선그 외 기타 전자부품 제조업 외 3 종인천광역시 서구 봉수대로501번길 40 (원창동) 외 1필지032-511-8388032-513-83822022-09-19
6566태승전자(주)PCB CONTROLLER전자부품 실장기판 제조업인천광역시 서구 로봇랜드로249번길 62-8 (청라동)032-329-7600032-329-76042022-09-19
6667태양전자PCB보드조립그 외 기타 전자부품 제조업 외 1 종인천광역시 서구 거북로 17 (석남동, 인천테크피아)032-573-2971032-573-29732022-09-19
6768태원하이테크(주)Nylon Washer, Oil Felt, 전선조립그 외 기타 전자부품 제조업 외 1 종인천광역시 서구 원창로64번길 18, 지하1층, 3층(원창동)032-571-4245032-571-42482022-09-19
6869피엠텍롤 와이퍼, 핸드와이퍼그 외 기타 전자부품 제조업 외 1 종인천광역시 서구 가좌로29번길 14, 주안 뷰티&테크노센터 312호 (가좌동)032-765-8152<NA>2022-09-19
6970하이테크노히터전열기구그 외 기타 전자부품 제조업 외 1 종인천광역시 서구 가정로57번길 9 (가좌동)032-572-8935032-572-89372022-09-19
7071한국테크PCB전자부품 실장기판 제조업인천광역시 서구 중봉대로396번길 9(원창동)032-573-2019032-573-20192022-09-19
7172한라상공사방열판그 외 기타 전자부품 제조업인천광역시 서구 가좌로 54, 2층 205호 (가좌동) 2층 205호032-589-6176032-589-61752022-09-19
7273현우산업(주)인쇄회로기판그 외 기타 전자부품 제조업인천광역시 서구 검단로 51 (오류동)032-720-1325032-720-16012022-09-19