Overview

Dataset statistics

Number of variables7
Number of observations184
Missing cells73
Missing cells (%)5.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.2 KiB
Average record size in memory56.7 B

Variable types

Text7

Dataset

Description경상북도 군위군의 제조업현황에 대한 데이터로 회사명, 대표자명, 전화번호, 팩스번호, 주소, 업종명, 생산품 항목을 제공합니다.
Author경상북도 군위군
URLhttps://www.data.go.kr/data/15035026/fileData.do

Alerts

전화번호 has 25 (13.6%) missing valuesMissing
팩스번호 has 45 (24.5%) missing valuesMissing

Reproduction

Analysis started2023-12-12 08:01:26.341311
Analysis finished2023-12-12 08:01:27.304905
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회사명
Text

Distinct181
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T17:01:27.513112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length6.701087
Min length2

Characters and Unicode

Total characters1233
Distinct characters236
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

Unique178 ?
Unique (%)96.7%

Sample

1st row(주)감로파인케미칼
2nd row(주)광덕강업
3rd row(주)금강목재
4th row(주)금강목재2공장
5th row(주)금성냉동기종합상사
ValueCountFrequency (%)
주식회사 12
 
5.9%
주)보광산자 2
 
1.0%
주)대명전선 2
 
1.0%
농업회사법인 2
 
1.0%
군위지점 2
 
1.0%
태흥산업(주 2
 
1.0%
수앤테크 2
 
1.0%
이엠텍 1
 
0.5%
영풍산업 1
 
0.5%
의흥식품 1
 
0.5%
Other values (177) 177
86.8%
2023-12-12T17:01:28.041949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 103
 
8.4%
( 91
 
7.4%
) 91
 
7.4%
업 41
 
3.3%
산 36
 
2.9%
이 31
 
2.5%
사 29
 
2.4%
식 26
 
2.1%
성 22
 
1.8%
20
 
1.6%
Other values (226) 743
60.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1000
81.1%
Open Punctuation 91
 
7.4%
Close Punctuation 91
 
7.4%
Space Separator 20
 
1.6%
Lowercase Letter 13
 
1.1%
Uppercase Letter 13
 
1.1%
Decimal Number 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 103
 
10.3%
업 41
 
4.1%
산 36
 
3.6%
이 31
 
3.1%
사 29
 
2.9%
식 26
 
2.6%
성 22
 
2.2%
대 20
 
2.0%
회 19
 
1.9%
스 17
 
1.7%
Other values (198) 656
65.6%
Uppercase Letter
ValueCountFrequency (%)
E 2
15.4%
X 1
7.7%
T 1
7.7%
C 1
7.7%
S 1
7.7%
W 1
7.7%
D 1
7.7%
G 1
7.7%
N 1
7.7%
P 1
7.7%
Other values (2) 2
15.4%
Lowercase Letter
ValueCountFrequency (%)
o 3
23.1%
a 2
15.4%
k 1
 
7.7%
m 1
 
7.7%
t 1
 
7.7%
p 1
 
7.7%
i 1
 
7.7%
r 1
 
7.7%
e 1
 
7.7%
c 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
2 3
60.0%
3 1
 
20.0%
1 1
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 91
100.0%
Close Punctuation
ValueCountFrequency (%)
) 91
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1000
81.1%
Common 207
 
16.8%
Latin 26
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 103
 
10.3%
업 41
 
4.1%
산 36
 
3.6%
이 31
 
3.1%
사 29
 
2.9%
식 26
 
2.6%
성 22
 
2.2%
대 20
 
2.0%
회 19
 
1.9%
스 17
 
1.7%
Other values (198) 656
65.6%
Latin
ValueCountFrequency (%)
o 3
 
11.5%
a 2
 
7.7%
E 2
 
7.7%
X 1
 
3.8%
T 1
 
3.8%
k 1
 
3.8%
C 1
 
3.8%
S 1
 
3.8%
W 1
 
3.8%
D 1
 
3.8%
Other values (12) 12
46.2%
Common
ValueCountFrequency (%)
( 91
44.0%
) 91
44.0%
20
 
9.7%
2 3
 
1.4%
3 1
 
0.5%
1 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1000
81.1%
ASCII 233
 
18.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 103
 
10.3%
업 41
 
4.1%
산 36
 
3.6%
이 31
 
3.1%
사 29
 
2.9%
식 26
 
2.6%
성 22
 
2.2%
대 20
 
2.0%
회 19
 
1.9%
스 17
 
1.7%
Other values (198) 656
65.6%
ASCII
ValueCountFrequency (%)
( 91
39.1%
) 91
39.1%
20
 
8.6%
2 3
 
1.3%
o 3
 
1.3%
a 2
 
0.9%
E 2
 
0.9%
X 1
 
0.4%
T 1
 
0.4%
k 1
 
0.4%
Other values (18) 18
 
7.7%

대표자명
Text

Distinct173
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T17:01:28.457360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9945652
Min length2

Characters and Unicode

Total characters551
Distinct characters128
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique162 ?
Unique (%)88.0%

Sample

1st row우병도
2nd row김재학
3rd row천석희
4th row천석희
5th row김우균
ValueCountFrequency (%)
이병옥 2
 
1.1%
신묘임 2
 
1.1%
손고환 2
 
1.1%
권혁수 2
 
1.1%
전용태 2
 
1.1%
조진숙 2
 
1.1%
최말순 2
 
1.1%
백생규 2
 
1.1%
채달수 2
 
1.1%
손정락 2
 
1.1%
Other values (163) 164
89.1%
2023-12-12T17:01:29.036762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 36
 
6.5%
이 24
 
4.4%
정 18
 
3.3%
영 17
 
3.1%
박 16
 
2.9%
희 14
 
2.5%
수 13
 
2.4%
재 12
 
2.2%
성 11
 
2.0%
현 11
 
2.0%
Other values (118) 379
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 551
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 36
 
6.5%
이 24
 
4.4%
정 18
 
3.3%
영 17
 
3.1%
박 16
 
2.9%
희 14
 
2.5%
수 13
 
2.4%
재 12
 
2.2%
성 11
 
2.0%
현 11
 
2.0%
Other values (118) 379
68.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 551
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 36
 
6.5%
이 24
 
4.4%
정 18
 
3.3%
영 17
 
3.1%
박 16
 
2.9%
희 14
 
2.5%
수 13
 
2.4%
재 12
 
2.2%
성 11
 
2.0%
현 11
 
2.0%
Other values (118) 379
68.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 551
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 36
 
6.5%
이 24
 
4.4%
정 18
 
3.3%
영 17
 
3.1%
박 16
 
2.9%
희 14
 
2.5%
수 13
 
2.4%
재 12
 
2.2%
성 11
 
2.0%
현 11
 
2.0%
Other values (118) 379
68.8%

전화번호
Text

MISSING 

Distinct145
Distinct (%)91.2%
Missing25
Missing (%)13.6%
Memory size1.6 KiB
2023-12-12T17:01:29.343971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1908
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

Unique133 ?
Unique (%)83.6%

Sample

1st row054-383-4554
2nd row054-382-0828
3rd row054-382-5501
4th row054-382-5501
5th row054-383-7338
ValueCountFrequency (%)
054-383-4117 3
 
1.9%
054-383-1666 3
 
1.9%
054-383-5610 2
 
1.3%
054-383-7885 2
 
1.3%
054-383-3753 2
 
1.3%
054-382-0036 2
 
1.3%
054-383-5327 2
 
1.3%
054-383-7020 2
 
1.3%
054-383-1414 2
 
1.3%
054-382-5501 2
 
1.3%
Other values (135) 137
86.2%
2023-12-12T17:01:29.811419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 318
16.7%
3 294
15.4%
0 256
13.4%
4 220
11.5%
5 217
11.4%
8 204
10.7%
2 119
 
6.2%
1 90
 
4.7%
7 80
 
4.2%
6 62
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1590
83.3%
Dash Punctuation 318
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 294
18.5%
0 256
16.1%
4 220
13.8%
5 217
13.6%
8 204
12.8%
2 119
7.5%
1 90
 
5.7%
7 80
 
5.0%
6 62
 
3.9%
9 48
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 318
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1908
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 318
16.7%
3 294
15.4%
0 256
13.4%
4 220
11.5%
5 217
11.4%
8 204
10.7%
2 119
 
6.2%
1 90
 
4.7%
7 80
 
4.2%
6 62
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1908
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 318
16.7%
3 294
15.4%
0 256
13.4%
4 220
11.5%
5 217
11.4%
8 204
10.7%
2 119
 
6.2%
1 90
 
4.7%
7 80
 
4.2%
6 62
 
3.2%

팩스번호
Text

MISSING 

Distinct131
Distinct (%)94.2%
Missing45
Missing (%)24.5%
Memory size1.6 KiB
2023-12-12T17:01:30.094228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1668
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

Unique124 ?
Unique (%)89.2%

Sample

1st row054-383-4557
2nd row054-382-8801
3rd row054-382-8801
4th row054-382-4404
5th row054-380-5115
ValueCountFrequency (%)
054-383-7021 3
 
2.2%
054-383-8603 2
 
1.4%
054-383-2344 2
 
1.4%
054-383-6089 2
 
1.4%
054-382-9672 2
 
1.4%
054-383-3755 2
 
1.4%
054-382-8801 2
 
1.4%
054-382-1451 1
 
0.7%
054-382-8911 1
 
0.7%
054-382-5824 1
 
0.7%
Other values (121) 121
87.1%
2023-12-12T17:01:30.611282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 278
16.7%
3 260
15.6%
0 213
12.8%
4 197
11.8%
5 196
11.8%
8 179
10.7%
2 102
 
6.1%
1 70
 
4.2%
7 66
 
4.0%
9 57
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1390
83.3%
Dash Punctuation 278
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 260
18.7%
0 213
15.3%
4 197
14.2%
5 196
14.1%
8 179
12.9%
2 102
 
7.3%
1 70
 
5.0%
7 66
 
4.7%
9 57
 
4.1%
6 50
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 278
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1668
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 278
16.7%
3 260
15.6%
0 213
12.8%
4 197
11.8%
5 196
11.8%
8 179
10.7%
2 102
 
6.1%
1 70
 
4.2%
7 66
 
4.0%
9 57
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1668
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 278
16.7%
3 260
15.6%
0 213
12.8%
4 197
11.8%
5 196
11.8%
8 179
10.7%
2 102
 
6.1%
1 70
 
4.2%
7 66
 
4.0%
9 57
 
3.4%

공장대표주소
Text

Distinct148
Distinct (%)80.9%
Missing1
Missing (%)0.5%
Memory size1.6 KiB
2023-12-12T17:01:30.847143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length22.551913
Min length19

Characters and Unicode

Total characters4127
Distinct characters85
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

Unique126 ?
Unique (%)68.9%

Sample

1st row경상북도 군위군 효령면 중리길 20-23
2nd row경상북도 군위군 효령면 고곡리 852번지
3rd row경상북도 군위군 효령면 장군로 740
4th row경상북도 군위군 효령면 장군로 740
5th row경상북도 군위군 효령면 경북대로 2613
ValueCountFrequency (%)
경상북도 183
19.8%
군위군 183
19.8%
효령면 83
 
9.0%
군위읍 80
 
8.7%
군위공단길 55
 
6.0%
효령공단길 18
 
2.0%
용매로 16
 
1.7%
경북대로 14
 
1.5%
치산효령로 8
 
0.9%
하평길 8
 
0.9%
Other values (189) 274
29.7%
2023-12-12T17:01:31.244876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
744
18.0%
군 515
 
12.5%
위 322
 
7.8%
북 199
 
4.8%
경 197
 
4.8%
1 191
 
4.6%
도 186
 
4.5%
상 183
 
4.4%
효 112
 
2.7%
령 112
 
2.7%
Other values (75) 1366
33.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2609
63.2%
Space Separator 744
 
18.0%
Decimal Number 682
 
16.5%
Dash Punctuation 83
 
2.0%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 515
19.7%
위 322
12.3%
북 199
 
7.6%
경 197
 
7.6%
도 186
 
7.1%
상 183
 
7.0%
효 112
 
4.3%
령 112
 
4.3%
길 105
 
4.0%
면 102
 
3.9%
Other values (58) 576
22.1%
Decimal Number
ValueCountFrequency (%)
1 191
28.0%
2 77
11.3%
3 75
 
11.0%
5 61
 
8.9%
0 60
 
8.8%
4 53
 
7.8%
8 47
 
6.9%
9 45
 
6.6%
7 37
 
5.4%
6 36
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
P 1
33.3%
R 1
33.3%
F 1
33.3%
Space Separator
ValueCountFrequency (%)
744
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2609
63.2%
Common 1515
36.7%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 515
19.7%
위 322
12.3%
북 199
 
7.6%
경 197
 
7.6%
도 186
 
7.1%
상 183
 
7.0%
효 112
 
4.3%
령 112
 
4.3%
길 105
 
4.0%
면 102
 
3.9%
Other values (58) 576
22.1%
Common
ValueCountFrequency (%)
744
49.1%
1 191
 
12.6%
- 83
 
5.5%
2 77
 
5.1%
3 75
 
5.0%
5 61
 
4.0%
0 60
 
4.0%
4 53
 
3.5%
8 47
 
3.1%
9 45
 
3.0%
Other values (4) 79
 
5.2%
Latin
ValueCountFrequency (%)
P 1
33.3%
R 1
33.3%
F 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2609
63.2%
ASCII 1518
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
744
49.0%
1 191
 
12.6%
- 83
 
5.5%
2 77
 
5.1%
3 75
 
4.9%
5 61
 
4.0%
0 60
 
4.0%
4 53
 
3.5%
8 47
 
3.1%
9 45
 
3.0%
Other values (7) 82
 
5.4%
Hangul
ValueCountFrequency (%)
군 515
19.7%
위 322
12.3%
북 199
 
7.6%
경 197
 
7.6%
도 186
 
7.1%
상 183
 
7.0%
효 112
 
4.3%
령 112
 
4.3%
길 105
 
4.0%
면 102
 
3.9%
Other values (58) 576
22.1%

업종명
Text

Distinct115
Distinct (%)62.8%
Missing1
Missing (%)0.5%
Memory size1.6 KiB
2023-12-12T17:01:31.667589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length24
Mean length17.73224
Min length6

Characters and Unicode

Total characters3245
Distinct characters197
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

Unique79 ?
Unique (%)43.2%

Sample

1st row윤활유 및 그리스 제조업
2nd row육상 금속 골조 구조재 제조업 외 2 종
3rd row일반 제재업 외 1 종
4th row표면 가공 목재 및 특정 목적용 제재목 제조업
5th row산업용 냉장 및 냉동 장비 제조업
ValueCountFrequency (%)
제조업 151
 
14.0%
외 100
 
9.3%
및 96
 
8.9%
종 82
 
7.6%
1 52
 
4.8%
기타 39
 
3.6%
금속 19
 
1.8%
그 18
 
1.7%
플라스틱 16
 
1.5%
제품 14
 
1.3%
Other values (194) 488
45.4%
2023-12-12T17:01:32.232423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
892
27.5%
제 216
 
6.7%
업 193
 
5.9%
조 190
 
5.9%
외 103
 
3.2%
및 98
 
3.0%
종 83
 
2.6%
기 70
 
2.2%
품 66
 
2.0%
1 53
 
1.6%
Other values (187) 1281
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2231
68.8%
Space Separator 892
 
27.5%
Decimal Number 83
 
2.6%
Other Punctuation 33
 
1.0%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 216
 
9.7%
업 193
 
8.7%
조 190
 
8.5%
외 103
 
4.6%
및 98
 
4.4%
종 83
 
3.7%
기 70
 
3.1%
품 66
 
3.0%
타 41
 
1.8%
용 38
 
1.7%
Other values (175) 1133
50.8%
Decimal Number
ValueCountFrequency (%)
1 53
63.9%
2 10
 
12.0%
4 8
 
9.6%
3 7
 
8.4%
5 2
 
2.4%
6 1
 
1.2%
8 1
 
1.2%
9 1
 
1.2%
Space Separator
ValueCountFrequency (%)
892
100.0%
Other Punctuation
ValueCountFrequency (%)
, 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2231
68.8%
Common 1014
31.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 216
 
9.7%
업 193
 
8.7%
조 190
 
8.5%
외 103
 
4.6%
및 98
 
4.4%
종 83
 
3.7%
기 70
 
3.1%
품 66
 
3.0%
타 41
 
1.8%
용 38
 
1.7%
Other values (175) 1133
50.8%
Common
ValueCountFrequency (%)
892
88.0%
1 53
 
5.2%
, 33
 
3.3%
2 10
 
1.0%
4 8
 
0.8%
3 7
 
0.7%
( 3
 
0.3%
) 3
 
0.3%
5 2
 
0.2%
6 1
 
0.1%
Other values (2) 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2225
68.6%
ASCII 1014
31.2%
Compat Jamo 6
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
892
88.0%
1 53
 
5.2%
, 33
 
3.3%
2 10
 
1.0%
4 8
 
0.8%
3 7
 
0.7%
( 3
 
0.3%
) 3
 
0.3%
5 2
 
0.2%
6 1
 
0.1%
Other values (2) 2
 
0.2%
Hangul
ValueCountFrequency (%)
제 216
 
9.7%
업 193
 
8.7%
조 190
 
8.5%
외 103
 
4.6%
및 98
 
4.4%
종 83
 
3.7%
기 70
 
3.1%
품 66
 
3.0%
타 41
 
1.8%
용 38
 
1.7%
Other values (174) 1127
50.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 6
100.0%

생산품
Text

Distinct166
Distinct (%)90.7%
Missing1
Missing (%)0.5%
Memory size1.6 KiB
2023-12-12T17:01:32.473469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length33
Mean length8.7595628
Min length1

Characters and Unicode

Total characters1603
Distinct characters313
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

Unique154 ?
Unique (%)84.2%

Sample

1st row윤활유/그리이스
2nd row철구조물
3rd row각재, 판재, 가공목재 생산
4th row목재가공
5th row냉동기조립
ValueCountFrequency (%)
및 8
 
2.6%
등 7
 
2.3%
부직포 5
 
1.6%
연사 4
 
1.3%
철구조물 3
 
1.0%
자동차부품 3
 
1.0%
고무제품 3
 
1.0%
폴리에스텔 3
 
1.0%
천막지 3
 
1.0%
프로세스제어반 3
 
1.0%
Other values (249) 267
86.4%
2023-12-12T17:01:32.928771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
126
 
7.9%
, 102
 
6.4%
스 36
 
2.2%
제 35
 
2.2%
기 30
 
1.9%
품 28
 
1.7%
어 24
 
1.5%
가 22
 
1.4%
조 21
 
1.3%
수 21
 
1.3%
Other values (303) 1158
72.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1294
80.7%
Space Separator 126
 
7.9%
Other Punctuation 107
 
6.7%
Uppercase Letter 48
 
3.0%
Open Punctuation 10
 
0.6%
Close Punctuation 10
 
0.6%
Lowercase Letter 8
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 36
 
2.8%
제 35
 
2.7%
기 30
 
2.3%
품 28
 
2.2%
어 24
 
1.9%
가 22
 
1.7%
조 21
 
1.6%
수 21
 
1.6%
부 21
 
1.6%
장 20
 
1.5%
Other values (281) 1036
80.1%
Uppercase Letter
ValueCountFrequency (%)
P 14
29.2%
E 9
18.8%
C 6
12.5%
T 4
 
8.3%
A 3
 
6.2%
L 3
 
6.2%
F 2
 
4.2%
R 2
 
4.2%
Y 2
 
4.2%
V 2
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
c 3
37.5%
p 2
25.0%
e 1
 
12.5%
v 1
 
12.5%
t 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 102
95.3%
. 4
 
3.7%
/ 1
 
0.9%
Space Separator
ValueCountFrequency (%)
126
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1294
80.7%
Common 253
 
15.8%
Latin 56
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 36
 
2.8%
제 35
 
2.7%
기 30
 
2.3%
품 28
 
2.2%
어 24
 
1.9%
가 22
 
1.7%
조 21
 
1.6%
수 21
 
1.6%
부 21
 
1.6%
장 20
 
1.5%
Other values (281) 1036
80.1%
Latin
ValueCountFrequency (%)
P 14
25.0%
E 9
16.1%
C 6
10.7%
T 4
 
7.1%
A 3
 
5.4%
L 3
 
5.4%
c 3
 
5.4%
F 2
 
3.6%
R 2
 
3.6%
Y 2
 
3.6%
Other values (6) 8
14.3%
Common
ValueCountFrequency (%)
126
49.8%
, 102
40.3%
( 10
 
4.0%
) 10
 
4.0%
. 4
 
1.6%
/ 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1294
80.7%
ASCII 309
 
19.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
126
40.8%
, 102
33.0%
P 14
 
4.5%
( 10
 
3.2%
) 10
 
3.2%
E 9
 
2.9%
C 6
 
1.9%
T 4
 
1.3%
. 4
 
1.3%
A 3
 
1.0%
Other values (12) 21
 
6.8%
Hangul
ValueCountFrequency (%)
스 36
 
2.8%
제 35
 
2.7%
기 30
 
2.3%
품 28
 
2.2%
어 24
 
1.9%
가 22
 
1.7%
조 21
 
1.6%
수 21
 
1.6%
부 21
 
1.6%
장 20
 
1.5%
Other values (281) 1036
80.1%

Missing values

2023-12-12T17:01:26.943453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:01:27.075774image/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.
2023-12-12T17:01:27.221683image/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

회사명대표자명전화번호팩스번호공장대표주소업종명생산품
0(주)감로파인케미칼우병도054-383-4554054-383-4557경상북도 군위군 효령면 중리길 20-23윤활유 및 그리스 제조업윤활유/그리이스
1(주)광덕강업김재학054-382-0828<NA>경상북도 군위군 효령면 고곡리 852번지육상 금속 골조 구조재 제조업 외 2 종철구조물
2(주)금강목재천석희054-382-5501054-382-8801경상북도 군위군 효령면 장군로 740일반 제재업 외 1 종각재, 판재, 가공목재 생산
3(주)금강목재2공장천석희054-382-5501054-382-8801경상북도 군위군 효령면 장군로 740표면 가공 목재 및 특정 목적용 제재목 제조업목재가공
4(주)금성냉동기종합상사김우균054-383-7338<NA>경상북도 군위군 효령면 경북대로 2613산업용 냉장 및 냉동 장비 제조업냉동기조립
5(주)나프박재현054-382-4464054-382-4404경상북도 군위군 군위읍 경북대로 3426-37그 외 기타 분류 안된 섬유제품 제조업제면(솜)
6(주)남선장성웅054-380-5100054-380-5115경상북도 군위군 효령면 효령공단길 14-5가정용비전기식조리및난방기구제조업AL주방용품
7(주)다다식품김장수054-383-1666054-383-2344경상북도 군위군 군위읍 군위공단길 159빵류 제조업 외 1 종제과,제빵
8(주)대경알앤씨권재열054-382-1941054-382-1943경상북도 군위군 군위읍 군위공단길 39-16레미콘 제조업 외 1 종레미콘, 아스콘
9(주)대명씨엠비최동규054-383-7019054-383-7021경상북도 군위군 군위읍 군위공단길 105고무패킹류 제조업 외 1 종전선용 고무제품
회사명대표자명전화번호팩스번호공장대표주소업종명생산품
174푸른식품한복자054-382-9771054-382-9772경상북도 군위군 효령면 용매로 1055-27천연 및 혼합조제 조미료 제조업고추가루
175하이브테크김광진054-382-5032054-382-5034경상북도 군위군 군위읍 하곡리 165-3그 외 기타 플라스틱 제품 제조업플라스틱사출성형품(벌통부분품)
176한국사이언스 주식회사성명희054-383-6242054-383-5174경상북도 군위군 효령면 용매로 1011-19비금속류 해체 및 선별업 외 1 종재생칩, PE관, 호스
177한국상사양재근054-383-1666<NA>경상북도 군위군 군위읍 군위공단길 159그 외 기타 분류 안된 섬유제품 제조업디카붐붐
178한국이엠산업(주)홍남규054-382-8645054-382-7809경상북도 군위군 부계면 치산효령로 1069배합 사료 제조업 외 3 종비료,사료
179한국전관 주식회사배예솔043-882-8460031-881-5064경상북도 군위군 효령면 용매로 1011-23플라스틱 선, 봉, 관 및 호스 제조업파상형 경질PE전선관
180한도포장공업(주)이순남054-383-9700054-383-9711경상북도 군위군 효령면 점말길 6-2골판지 제조업 외 1 종골판지
181현대산업김윤진<NA><NA>경상북도 군위군 효령면 나곡길 20플라스틱 창호 제조업PVC창호
182협화스틸이종익<NA>054-382-2217경상북도 군위군 군위읍 경북대로 4022-28트레일러 및 세미트레일러 제조업 외 1 종건물 및 운송용 컨테이너
183효성종합기계최순복054-383-1605054-383-1617경상북도 군위군 효령면 하평길 80농업 및 임업용 기계 제조업농용트레일러