Overview

Dataset statistics

Number of variables6
Number of observations148
Missing cells164
Missing cells (%)18.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.1 KiB
Average record size in memory48.9 B

Variable types

Text6

Dataset

Description경상북도 군위군에 위치한 산업체정보에 대한 데이터로 업체명, 대표자명, 주소, 주생산품, 전화번호, 홈페이지 주소 항목을 제공합니다.
Author경상북도 군위군
URLhttps://www.data.go.kr/data/3069506/fileData.do

Alerts

전화번호 has 25 (16.9%) missing valuesMissing
홈페이지 has 139 (93.9%) missing valuesMissing

Reproduction

Analysis started2023-12-12 14:32:19.404568
Analysis finished2023-12-12 14:32:20.174246
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

Distinct143
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T23:32:20.366565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length6.8445946
Min length2

Characters and Unicode

Total characters1013
Distinct characters208
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

Unique139 ?
Unique (%)93.9%

Sample

1st row(주)감로파인케미칼
2nd row(주)광덕강업
3rd row(주)금강목재
4th row(주)금강목재2공장
5th row(주)나프
ValueCountFrequency (%)
주식회사 10
 
6.1%
주)대명전선 4
 
2.4%
제2공장 2
 
1.2%
주)보광산자 2
 
1.2%
수앤테크 2
 
1.2%
주)대원그린 2
 
1.2%
농업회사법인 2
 
1.2%
의흥식품 1
 
0.6%
유성산업 1
 
0.6%
우정tex 1
 
0.6%
Other values (138) 138
83.6%
2023-12-12T23:32:20.860036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 87
 
8.6%
( 75
 
7.4%
) 75
 
7.4%
업 35
 
3.5%
산 29
 
2.9%
이 28
 
2.8%
사 23
 
2.3%
대 21
 
2.1%
식 19
 
1.9%
성 19
 
1.9%
Other values (198) 602
59.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 826
81.5%
Open Punctuation 75
 
7.4%
Close Punctuation 75
 
7.4%
Space Separator 17
 
1.7%
Uppercase Letter 16
 
1.6%
Decimal Number 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 87
 
10.5%
업 35
 
4.2%
산 29
 
3.5%
이 28
 
3.4%
사 23
 
2.8%
대 21
 
2.5%
식 19
 
2.3%
성 19
 
2.3%
회 17
 
2.1%
스 17
 
2.1%
Other values (179) 531
64.3%
Uppercase Letter
ValueCountFrequency (%)
E 2
12.5%
C 2
12.5%
X 1
 
6.2%
T 1
 
6.2%
S 1
 
6.2%
D 1
 
6.2%
W 1
 
6.2%
P 1
 
6.2%
F 1
 
6.2%
B 1
 
6.2%
Other values (4) 4
25.0%
Decimal Number
ValueCountFrequency (%)
2 3
75.0%
1 1
 
25.0%
Open Punctuation
ValueCountFrequency (%)
( 75
100.0%
Close Punctuation
ValueCountFrequency (%)
) 75
100.0%
Space Separator
ValueCountFrequency (%)
17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 826
81.5%
Common 171
 
16.9%
Latin 16
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 87
 
10.5%
업 35
 
4.2%
산 29
 
3.5%
이 28
 
3.4%
사 23
 
2.8%
대 21
 
2.5%
식 19
 
2.3%
성 19
 
2.3%
회 17
 
2.1%
스 17
 
2.1%
Other values (179) 531
64.3%
Latin
ValueCountFrequency (%)
E 2
12.5%
C 2
12.5%
X 1
 
6.2%
T 1
 
6.2%
S 1
 
6.2%
D 1
 
6.2%
W 1
 
6.2%
P 1
 
6.2%
F 1
 
6.2%
B 1
 
6.2%
Other values (4) 4
25.0%
Common
ValueCountFrequency (%)
( 75
43.9%
) 75
43.9%
17
 
9.9%
2 3
 
1.8%
1 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 826
81.5%
ASCII 187
 
18.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 87
 
10.5%
업 35
 
4.2%
산 29
 
3.5%
이 28
 
3.4%
사 23
 
2.8%
대 21
 
2.5%
식 19
 
2.3%
성 19
 
2.3%
회 17
 
2.1%
스 17
 
2.1%
Other values (179) 531
64.3%
ASCII
ValueCountFrequency (%)
( 75
40.1%
) 75
40.1%
17
 
9.1%
2 3
 
1.6%
E 2
 
1.1%
C 2
 
1.1%
X 1
 
0.5%
T 1
 
0.5%
S 1
 
0.5%
D 1
 
0.5%
Other values (9) 9
 
4.8%

대표자
Text

Distinct136
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T23:32:21.220704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.277027
Min length2

Characters and Unicode

Total characters485
Distinct characters117
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique126 ?
Unique (%)85.1%

Sample

1st row우병도
2nd row김재학
3rd row천석희
4th row천석희
5th row박재현
ValueCountFrequency (%)
최동규 6
 
3.9%
손고환 4
 
2.6%
조진숙 2
 
1.3%
손정락 2
 
1.3%
권혁수 2
 
1.3%
최말순 2
 
1.3%
전용태 2
 
1.3%
신묘임 2
 
1.3%
천석희 2
 
1.3%
김민석 2
 
1.3%
Other values (129) 129
83.2%
2023-12-12T23:32:21.755652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 32
 
6.6%
이 22
 
4.5%
영 14
 
2.9%
정 13
 
2.7%
최 13
 
2.7%
박 13
 
2.7%
희 13
 
2.7%
재 10
 
2.1%
손 9
 
1.9%
수 9
 
1.9%
Other values (107) 337
69.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 469
96.7%
Other Punctuation 8
 
1.6%
Space Separator 7
 
1.4%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 32
 
6.8%
이 22
 
4.7%
영 14
 
3.0%
정 13
 
2.8%
최 13
 
2.8%
박 13
 
2.8%
희 13
 
2.8%
재 10
 
2.1%
손 9
 
1.9%
수 9
 
1.9%
Other values (104) 321
68.4%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 469
96.7%
Common 16
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 32
 
6.8%
이 22
 
4.7%
영 14
 
3.0%
정 13
 
2.8%
최 13
 
2.8%
박 13
 
2.8%
희 13
 
2.8%
재 10
 
2.1%
손 9
 
1.9%
수 9
 
1.9%
Other values (104) 321
68.4%
Common
ValueCountFrequency (%)
, 8
50.0%
7
43.8%
1 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 469
96.7%
ASCII 16
 
3.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 32
 
6.8%
이 22
 
4.7%
영 14
 
3.0%
정 13
 
2.8%
최 13
 
2.8%
박 13
 
2.8%
희 13
 
2.8%
재 10
 
2.1%
손 9
 
1.9%
수 9
 
1.9%
Other values (104) 321
68.4%
ASCII
ValueCountFrequency (%)
, 8
50.0%
7
43.8%
1 1
 
6.2%

주소
Text

Distinct126
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T23:32:22.149943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length32
Mean length23.128378
Min length19

Characters and Unicode

Total characters3423
Distinct characters99
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

Unique111 ?
Unique (%)75.0%

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 군위읍 경북대로 3426-37
ValueCountFrequency (%)
경상북도 148
19.6%
군위군 148
19.6%
효령면 70
 
9.2%
군위읍 66
 
8.7%
군위공단길 47
 
6.2%
효령공단길 15
 
2.0%
경북대로 13
 
1.7%
용매로 12
 
1.6%
치산효령로 8
 
1.1%
하평길 6
 
0.8%
Other values (169) 224
29.6%
2023-12-12T23:32:22.716898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
630
18.4%
군 421
 
12.3%
위 265
 
7.7%
경 164
 
4.8%
북 164
 
4.8%
1 155
 
4.5%
도 151
 
4.4%
상 148
 
4.3%
효 98
 
2.9%
령 98
 
2.9%
Other values (89) 1129
33.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2156
63.0%
Space Separator 630
 
18.4%
Decimal Number 548
 
16.0%
Dash Punctuation 65
 
1.9%
Open Punctuation 8
 
0.2%
Close Punctuation 8
 
0.2%
Uppercase Letter 5
 
0.1%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 421
19.5%
위 265
12.3%
경 164
 
7.6%
북 164
 
7.6%
도 151
 
7.0%
상 148
 
6.9%
효 98
 
4.5%
령 98
 
4.5%
길 89
 
4.1%
면 81
 
3.8%
Other values (70) 477
22.1%
Decimal Number
ValueCountFrequency (%)
1 155
28.3%
2 61
 
11.1%
3 55
 
10.0%
0 54
 
9.9%
5 49
 
8.9%
4 40
 
7.3%
8 38
 
6.9%
9 36
 
6.6%
7 33
 
6.0%
6 27
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
A 2
40.0%
F 1
20.0%
R 1
20.0%
P 1
20.0%
Space Separator
ValueCountFrequency (%)
630
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 65
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2156
63.0%
Common 1262
36.9%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 421
19.5%
위 265
12.3%
경 164
 
7.6%
북 164
 
7.6%
도 151
 
7.0%
상 148
 
6.9%
효 98
 
4.5%
령 98
 
4.5%
길 89
 
4.1%
면 81
 
3.8%
Other values (70) 477
22.1%
Common
ValueCountFrequency (%)
630
49.9%
1 155
 
12.3%
- 65
 
5.2%
2 61
 
4.8%
3 55
 
4.4%
0 54
 
4.3%
5 49
 
3.9%
4 40
 
3.2%
8 38
 
3.0%
9 36
 
2.9%
Other values (5) 79
 
6.3%
Latin
ValueCountFrequency (%)
A 2
40.0%
F 1
20.0%
R 1
20.0%
P 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2156
63.0%
ASCII 1267
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
630
49.7%
1 155
 
12.2%
- 65
 
5.1%
2 61
 
4.8%
3 55
 
4.3%
0 54
 
4.3%
5 49
 
3.9%
4 40
 
3.2%
8 38
 
3.0%
9 36
 
2.8%
Other values (9) 84
 
6.6%
Hangul
ValueCountFrequency (%)
군 421
19.5%
위 265
12.3%
경 164
 
7.6%
북 164
 
7.6%
도 151
 
7.0%
상 148
 
6.9%
효 98
 
4.5%
령 98
 
4.5%
길 89
 
4.1%
면 81
 
3.8%
Other values (70) 477
22.1%

주생산품
Text

Distinct135
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T23:32:22.975191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length33
Mean length9.1891892
Min length2

Characters and Unicode

Total characters1360
Distinct characters281
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

Unique125 ?
Unique (%)84.5%

Sample

1st row윤활유/그리이스
2nd row철구조물
3rd row각재, 판재, 가공목재 생산
4th row목재가공
5th row제면(솜)
ValueCountFrequency (%)
등 6
 
2.4%
고무제품 5
 
2.0%
및 5
 
2.0%
부직포 5
 
2.0%
연사 4
 
1.6%
자동차부품 3
 
1.2%
플라스틱 3
 
1.2%
프로세스제어반 3
 
1.2%
철구조물 3
 
1.2%
전선용 2
 
0.8%
Other values (194) 209
84.3%
2023-12-12T23:32:23.422459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
100
 
7.4%
, 93
 
6.8%
제 33
 
2.4%
스 31
 
2.3%
기 29
 
2.1%
품 26
 
1.9%
어 24
 
1.8%
조 21
 
1.5%
부 20
 
1.5%
용 19
 
1.4%
Other values (271) 964
70.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1097
80.7%
Space Separator 100
 
7.4%
Other Punctuation 98
 
7.2%
Uppercase Letter 35
 
2.6%
Close Punctuation 11
 
0.8%
Open Punctuation 11
 
0.8%
Lowercase Letter 8
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 33
 
3.0%
스 31
 
2.8%
기 29
 
2.6%
품 26
 
2.4%
어 24
 
2.2%
조 21
 
1.9%
부 20
 
1.8%
용 19
 
1.7%
수 16
 
1.5%
장 16
 
1.5%
Other values (249) 862
78.6%
Uppercase Letter
ValueCountFrequency (%)
P 11
31.4%
E 7
20.0%
C 4
 
11.4%
T 3
 
8.6%
Y 2
 
5.7%
A 2
 
5.7%
V 2
 
5.7%
F 1
 
2.9%
R 1
 
2.9%
L 1
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
c 3
37.5%
p 2
25.0%
e 1
 
12.5%
t 1
 
12.5%
v 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 93
94.9%
. 4
 
4.1%
/ 1
 
1.0%
Space Separator
ValueCountFrequency (%)
100
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1097
80.7%
Common 220
 
16.2%
Latin 43
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 33
 
3.0%
스 31
 
2.8%
기 29
 
2.6%
품 26
 
2.4%
어 24
 
2.2%
조 21
 
1.9%
부 20
 
1.8%
용 19
 
1.7%
수 16
 
1.5%
장 16
 
1.5%
Other values (249) 862
78.6%
Latin
ValueCountFrequency (%)
P 11
25.6%
E 7
16.3%
C 4
 
9.3%
c 3
 
7.0%
T 3
 
7.0%
Y 2
 
4.7%
A 2
 
4.7%
V 2
 
4.7%
p 2
 
4.7%
e 1
 
2.3%
Other values (6) 6
14.0%
Common
ValueCountFrequency (%)
100
45.5%
, 93
42.3%
) 11
 
5.0%
( 11
 
5.0%
. 4
 
1.8%
/ 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1097
80.7%
ASCII 263
 
19.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
100
38.0%
, 93
35.4%
) 11
 
4.2%
P 11
 
4.2%
( 11
 
4.2%
E 7
 
2.7%
C 4
 
1.5%
. 4
 
1.5%
c 3
 
1.1%
T 3
 
1.1%
Other values (12) 16
 
6.1%
Hangul
ValueCountFrequency (%)
제 33
 
3.0%
스 31
 
2.8%
기 29
 
2.6%
품 26
 
2.4%
어 24
 
2.2%
조 21
 
1.9%
부 20
 
1.8%
용 19
 
1.7%
수 16
 
1.5%
장 16
 
1.5%
Other values (249) 862
78.6%

전화번호
Text

MISSING 

Distinct112
Distinct (%)91.1%
Missing25
Missing (%)16.9%
Memory size1.3 KiB
2023-12-12T23:32:23.715652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1476
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

Unique102 ?
Unique (%)82.9%

Sample

1st row054-383-4554
2nd row054-382-0828
3rd row054-382-5501
4th row054-382-5501
5th row054-382-4464
ValueCountFrequency (%)
054-383-4117 3
 
2.4%
054-383-7020 2
 
1.6%
054-383-5610 2
 
1.6%
054-383-6090 2
 
1.6%
054-383-7885 2
 
1.6%
054-383-1414 2
 
1.6%
054-383-5327 2
 
1.6%
054-383-7019 2
 
1.6%
054-382-5501 2
 
1.6%
054-382-2268 2
 
1.6%
Other values (102) 102
82.9%
2023-12-12T23:32:24.117011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 246
16.7%
3 220
14.9%
0 198
13.4%
5 171
11.6%
4 167
11.3%
8 163
11.0%
2 97
 
6.6%
1 71
 
4.8%
7 59
 
4.0%
6 43
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1230
83.3%
Dash Punctuation 246
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 220
17.9%
0 198
16.1%
5 171
13.9%
4 167
13.6%
8 163
13.3%
2 97
7.9%
1 71
 
5.8%
7 59
 
4.8%
6 43
 
3.5%
9 41
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 246
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1476
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 246
16.7%
3 220
14.9%
0 198
13.4%
5 171
11.6%
4 167
11.3%
8 163
11.0%
2 97
 
6.6%
1 71
 
4.8%
7 59
 
4.0%
6 43
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1476
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 246
16.7%
3 220
14.9%
0 198
13.4%
5 171
11.6%
4 167
11.3%
8 163
11.0%
2 97
 
6.6%
1 71
 
4.8%
7 59
 
4.0%
6 43
 
2.9%

홈페이지
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing139
Missing (%)93.9%
Memory size1.3 KiB
2023-12-12T23:32:24.335130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length16.888889
Min length13

Characters and Unicode

Total characters152
Distinct characters23
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)100.0%

Sample

1st rowwww.nfiber.co.kr
2nd rowwww.daewongreen.com
3rd rowwww.emicrodisplay.com
4th rowwww.sinjincon.com
5th rowwww.woorigisul.com
ValueCountFrequency (%)
www.nfiber.co.kr 1
11.1%
www.daewongreen.com 1
11.1%
www.emicrodisplay.com 1
11.1%
www.sinjincon.com 1
11.1%
www.woorigisul.com 1
11.1%
www.hantiso.co.kr 1
11.1%
www.minsoklpc.com 1
11.1%
www.stm.co.kr 1
11.1%
www.emks.co.kr 1
11.1%
2023-12-12T23:32:24.745229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 29
19.1%
. 22
14.5%
o 16
10.5%
c 12
7.9%
m 9
 
5.9%
i 9
 
5.9%
n 8
 
5.3%
r 8
 
5.3%
s 7
 
4.6%
e 6
 
3.9%
Other values (13) 26
17.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 130
85.5%
Other Punctuation 22
 
14.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 29
22.3%
o 16
12.3%
c 12
9.2%
m 9
 
6.9%
i 9
 
6.9%
n 8
 
6.2%
r 8
 
6.2%
s 7
 
5.4%
e 6
 
4.6%
k 6
 
4.6%
Other values (12) 20
15.4%
Other Punctuation
ValueCountFrequency (%)
. 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 130
85.5%
Common 22
 
14.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 29
22.3%
o 16
12.3%
c 12
9.2%
m 9
 
6.9%
i 9
 
6.9%
n 8
 
6.2%
r 8
 
6.2%
s 7
 
5.4%
e 6
 
4.6%
k 6
 
4.6%
Other values (12) 20
15.4%
Common
ValueCountFrequency (%)
. 22
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 152
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 29
19.1%
. 22
14.5%
o 16
10.5%
c 12
7.9%
m 9
 
5.9%
i 9
 
5.9%
n 8
 
5.3%
r 8
 
5.3%
s 7
 
4.6%
e 6
 
3.9%
Other values (13) 26
17.1%

Missing values

2023-12-12T23:32:19.891902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:32:20.003366image/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.
2023-12-12T23:32:20.118311image/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

업체명대표자주소주생산품전화번호홈페이지
0(주)감로파인케미칼우병도경상북도 군위군 효령면 중리길 20-23윤활유/그리이스054-383-4554<NA>
1(주)광덕강업김재학경상북도 군위군 효령면 고곡리 852번지철구조물054-382-0828<NA>
2(주)금강목재천석희경상북도 군위군 효령면 장군로 740각재, 판재, 가공목재 생산054-382-5501<NA>
3(주)금강목재2공장천석희경상북도 군위군 효령면 장군로 740목재가공054-382-5501<NA>
4(주)나프박재현경상북도 군위군 군위읍 경북대로 3426-37제면(솜)054-382-4464www.nfiber.co.kr
5(주)남선장성웅경상북도 군위군 효령면 효령공단길 14-5AL주방용품054-380-5100<NA>
6(주)대경알앤씨권재열경상북도 군위군 군위읍 군위공단길 39-16레미콘, 아스콘054-382-1941<NA>
7(주)대명CMB 제2공장최동규경상북도 군위군 군위읍 군위공단길 101전선용 고무제품<NA><NA>
8(주)대명씨엠비최동규경상북도 군위군 군위읍 군위공단길 105전선용 고무제품054-383-7019<NA>
9(주)대명전선손고환, 최동규경상북도 군위군 군위읍 군위공단길 113전선054-383-7019<NA>
업체명대표자주소주생산품전화번호홈페이지
138태성케미컬박태성경상북도 군위군 효령면 용매로 1055-29PE시트(평판)<NA><NA>
139태양섬유하동근경상북도 군위군 효령면 용매로 1055-45안전망, 분진망054-382-0834<NA>
140태인건업최현석경상북도 군위군 효령면 장군로 736철골구조제054-383-1373<NA>
141하이브테크김광진경상북도 군위군 군위읍 하곡리 165-3플라스틱사출성형품(벌통부분품)054-382-5032<NA>
142한국사이언스 주식회사성명희경상북도 군위군 효령면 용매로 1011-19재생칩, PE관, 호스054-383-6242<NA>
143한국이엠산업(주)홍남규경상북도 군위군 부계면 치산효령로 1069비료,사료054-382-8645www.emks.co.kr
144한도포장공업(주)이순남경상북도 군위군 효령면 점말길 6-2골판지054-383-9700<NA>
145현대산업김윤진경상북도 군위군 효령면 나곡길 20PVC창호<NA><NA>
146협화스틸이종익경상북도 군위군 군위읍 경북대로 4022-28건물 및 운송용 컨테이너<NA><NA>
147효성종합기계최순복경상북도 군위군 효령면 하평길 80농용트레일러054-383-1605<NA>