Overview

Dataset statistics

Number of variables12
Number of observations25
Missing cells13
Missing cells (%)4.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory103.3 B

Variable types

Numeric2
Text8
Categorical1
DateTime1

Dataset

Description경상북도 영양군_제조업체에 대한 데이터로 회사명, 대표자명, 전화번호, 팩스번호, 생산품, 공장홈페이지 정보등을 제공합니다.
Author경상북도 영양군
URLhttps://www.data.go.kr/data/15020722/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
공장홈페이지 is highly imbalanced (59.6%)Imbalance
팩스번호 has 13 (52.0%) missing valuesMissing
순번 has unique valuesUnique
회사명 has unique valuesUnique
전화번호 has unique valuesUnique
공장대표주소(도로명주소) has unique valuesUnique
공장대표주소(지번) has unique valuesUnique

Reproduction

Analysis started2023-12-11 22:52:17.712448
Analysis finished2023-12-11 22:52:18.684913
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-12T07:52:18.742333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q17
median13
Q319
95-th percentile23.8
Maximum25
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.3598007
Coefficient of variation (CV)0.56613852
Kurtosis-1.2
Mean13
Median Absolute Deviation (MAD)6
Skewness0
Sum325
Variance54.166667
MonotonicityStrictly increasing
2023-12-12T07:52:18.864287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
25 1
 
4.0%
24 1
 
4.0%
23 1
 
4.0%
22 1
 
4.0%
21 1
 
4.0%
20 1
 
4.0%
19 1
 
4.0%
18 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
1 1
4.0%
2 1
4.0%
3 1
4.0%
4 1
4.0%
5 1
4.0%
6 1
4.0%
7 1
4.0%
8 1
4.0%
9 1
4.0%
10 1
4.0%
ValueCountFrequency (%)
25 1
4.0%
24 1
4.0%
23 1
4.0%
22 1
4.0%
21 1
4.0%
20 1
4.0%
19 1
4.0%
18 1
4.0%
17 1
4.0%
16 1
4.0%

회사명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T07:52:19.041293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length8.2
Min length4

Characters and Unicode

Total characters205
Distinct characters75
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

Unique25 ?
Unique (%)100.0%

Sample

1st row(주)나래
2nd row(주)네이처셀 영양공장
3rd row(주)대동산업
4th row(주)삼영건설영양지점
5th row(주)상원
ValueCountFrequency (%)
주식회사 3
 
9.4%
주)나래 1
 
3.1%
주)네이처셀 1
 
3.1%
영농조합법인 1
 
3.1%
참자연마을 1
 
3.1%
인화푸드 1
 
3.1%
영양식품 1
 
3.1%
다산식품 1
 
3.1%
전통식품영양농원가공공장 1
 
3.1%
작품제작소 1
 
3.1%
Other values (20) 20
62.5%
2023-12-12T07:52:19.324565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
영 18
 
8.8%
양 15
 
7.3%
주 12
 
5.9%
( 8
 
3.9%
) 8
 
3.9%
사 8
 
3.9%
식 7
 
3.4%
7
 
3.4%
공 6
 
2.9%
업 5
 
2.4%
Other values (65) 111
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 182
88.8%
Open Punctuation 8
 
3.9%
Close Punctuation 8
 
3.9%
Space Separator 7
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 18
 
9.9%
양 15
 
8.2%
주 12
 
6.6%
사 8
 
4.4%
식 7
 
3.8%
공 6
 
3.3%
업 5
 
2.7%
품 5
 
2.7%
회 5
 
2.7%
장 5
 
2.7%
Other values (62) 96
52.7%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 182
88.8%
Common 23
 
11.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 18
 
9.9%
양 15
 
8.2%
주 12
 
6.6%
사 8
 
4.4%
식 7
 
3.8%
공 6
 
3.3%
업 5
 
2.7%
품 5
 
2.7%
회 5
 
2.7%
장 5
 
2.7%
Other values (62) 96
52.7%
Common
ValueCountFrequency (%)
( 8
34.8%
) 8
34.8%
7
30.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 182
88.8%
ASCII 23
 
11.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
영 18
 
9.9%
양 15
 
8.2%
주 12
 
6.6%
사 8
 
4.4%
식 7
 
3.8%
공 6
 
3.3%
업 5
 
2.7%
품 5
 
2.7%
회 5
 
2.7%
장 5
 
2.7%
Other values (62) 96
52.7%
ASCII
ValueCountFrequency (%)
( 8
34.8%
) 8
34.8%
7
30.4%

대표자명
Text

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T07:52:19.488330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters75
Distinct characters49
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

Unique23 ?
Unique (%)92.0%

Sample

1st row황경모
2nd row라정찬
3rd row이호근
4th row조승재
5th row이중재
ValueCountFrequency (%)
김장래 2
 
8.0%
황경모 1
 
4.0%
정중호 1
 
4.0%
안길수 1
 
4.0%
박찬태 1
 
4.0%
박주윤 1
 
4.0%
윤근목 1
 
4.0%
권선화 1
 
4.0%
김효숙 1
 
4.0%
김기칠 1
 
4.0%
Other values (14) 14
56.0%
2023-12-12T07:52:19.761207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 5
 
6.7%
호 4
 
5.3%
찬 3
 
4.0%
박 3
 
4.0%
권 2
 
2.7%
윤 2
 
2.7%
태 2
 
2.7%
오 2
 
2.7%
정 2
 
2.7%
장 2
 
2.7%
Other values (39) 48
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 75
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 5
 
6.7%
호 4
 
5.3%
찬 3
 
4.0%
박 3
 
4.0%
권 2
 
2.7%
윤 2
 
2.7%
태 2
 
2.7%
오 2
 
2.7%
정 2
 
2.7%
장 2
 
2.7%
Other values (39) 48
64.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 75
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 5
 
6.7%
호 4
 
5.3%
찬 3
 
4.0%
박 3
 
4.0%
권 2
 
2.7%
윤 2
 
2.7%
태 2
 
2.7%
오 2
 
2.7%
정 2
 
2.7%
장 2
 
2.7%
Other values (39) 48
64.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 75
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 5
 
6.7%
호 4
 
5.3%
찬 3
 
4.0%
박 3
 
4.0%
권 2
 
2.7%
윤 2
 
2.7%
태 2
 
2.7%
오 2
 
2.7%
정 2
 
2.7%
장 2
 
2.7%
Other values (39) 48
64.0%

전화번호
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T07:52:19.951982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.08
Min length12

Characters and Unicode

Total characters302
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

Unique25 ?
Unique (%)100.0%

Sample

1st row054-683-0020
2nd row070-7019-6876
3rd row054-682-6937
4th row054-682-5473
5th row054-683-9116
ValueCountFrequency (%)
054-683-0020 1
 
4.0%
054-682-2004 1
 
4.0%
054-682-0601 1
 
4.0%
031-528-0977 1
 
4.0%
054-683-5388 1
 
4.0%
054-683-5020 1
 
4.0%
054-682-2810 1
 
4.0%
054-682-7415 1
 
4.0%
054-682-6578 1
 
4.0%
054-682-1360 1
 
4.0%
Other values (15) 15
60.0%
2023-12-12T07:52:20.267321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 50
16.6%
0 46
15.2%
6 32
10.6%
8 32
10.6%
5 31
10.3%
4 29
9.6%
3 22
7.3%
2 21
7.0%
7 16
 
5.3%
1 12
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 252
83.4%
Dash Punctuation 50
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 46
18.3%
6 32
12.7%
8 32
12.7%
5 31
12.3%
4 29
11.5%
3 22
8.7%
2 21
8.3%
7 16
 
6.3%
1 12
 
4.8%
9 11
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 302
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 50
16.6%
0 46
15.2%
6 32
10.6%
8 32
10.6%
5 31
10.3%
4 29
9.6%
3 22
7.3%
2 21
7.0%
7 16
 
5.3%
1 12
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 302
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 50
16.6%
0 46
15.2%
6 32
10.6%
8 32
10.6%
5 31
10.3%
4 29
9.6%
3 22
7.3%
2 21
7.0%
7 16
 
5.3%
1 12
 
4.0%

팩스번호
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing13
Missing (%)52.0%
Memory size332.0 B
2023-12-12T07:52:20.446041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.083333
Min length12

Characters and Unicode

Total characters145
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

Unique12 ?
Unique (%)100.0%

Sample

1st row054-682-6938
2nd row054-682-2337
3rd row054-682-0306
4th row054-683-4421
5th row0505-665-2002
ValueCountFrequency (%)
054-682-6938 1
8.3%
054-682-2337 1
8.3%
054-682-0306 1
8.3%
054-683-4421 1
8.3%
0505-665-2002 1
8.3%
054-783-2882 1
8.3%
054-680-6269 1
8.3%
054-683-9798 1
8.3%
054-682-7655 1
8.3%
054-682-6578 1
8.3%
Other values (2) 2
16.7%
2023-12-12T07:52:20.741359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 24
16.6%
0 20
13.8%
6 20
13.8%
5 17
11.7%
8 16
11.0%
4 15
10.3%
2 13
9.0%
3 8
 
5.5%
7 6
 
4.1%
9 5
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 121
83.4%
Dash Punctuation 24
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 20
16.5%
6 20
16.5%
5 17
14.0%
8 16
13.2%
4 15
12.4%
2 13
10.7%
3 8
 
6.6%
7 6
 
5.0%
9 5
 
4.1%
1 1
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 145
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 24
16.6%
0 20
13.8%
6 20
13.8%
5 17
11.7%
8 16
11.0%
4 15
10.3%
2 13
9.0%
3 8
 
5.5%
7 6
 
4.1%
9 5
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 145
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 24
16.6%
0 20
13.8%
6 20
13.8%
5 17
11.7%
8 16
11.0%
4 15
10.3%
2 13
9.0%
3 8
 
5.5%
7 6
 
4.1%
9 5
 
3.4%

생산품
Text

Distinct21
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T07:52:20.973596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length13
Mean length7.6
Min length1

Characters and Unicode

Total characters190
Distinct characters96
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

Unique19 ?
Unique (%)76.0%

Sample

1st rowCCTV, 스피커
2nd row전통장류
3rd row레미콘
4th row아스팔트콘크리트
5th row먹는샘물
ValueCountFrequency (%)
고추가루 4
 
9.1%
및 3
 
6.8%
레미콘 2
 
4.5%
김치 1
 
2.3%
옥외용벤치 1
 
2.3%
고추장 1
 
2.3%
회초장 1
 
2.3%
반찬 1
 
2.3%
절임 1
 
2.3%
육수 1
 
2.3%
Other values (28) 28
63.6%
2023-12-12T07:52:21.667754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20
 
10.5%
, 8
 
4.2%
가 7
 
3.7%
루 7
 
3.7%
고 6
 
3.2%
류 6
 
3.2%
장 5
 
2.6%
추 5
 
2.6%
및 4
 
2.1%
제 4
 
2.1%
Other values (86) 118
62.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 152
80.0%
Space Separator 20
 
10.5%
Other Punctuation 8
 
4.2%
Uppercase Letter 4
 
2.1%
Close Punctuation 3
 
1.6%
Open Punctuation 3
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 7
 
4.6%
루 7
 
4.6%
고 6
 
3.9%
류 6
 
3.9%
장 5
 
3.3%
추 5
 
3.3%
및 4
 
2.6%
제 4
 
2.6%
스 4
 
2.6%
치 3
 
2.0%
Other values (79) 101
66.4%
Uppercase Letter
ValueCountFrequency (%)
C 2
50.0%
V 1
25.0%
T 1
25.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 152
80.0%
Common 34
 
17.9%
Latin 4
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 7
 
4.6%
루 7
 
4.6%
고 6
 
3.9%
류 6
 
3.9%
장 5
 
3.3%
추 5
 
3.3%
및 4
 
2.6%
제 4
 
2.6%
스 4
 
2.6%
치 3
 
2.0%
Other values (79) 101
66.4%
Common
ValueCountFrequency (%)
20
58.8%
, 8
 
23.5%
) 3
 
8.8%
( 3
 
8.8%
Latin
ValueCountFrequency (%)
C 2
50.0%
V 1
25.0%
T 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 152
80.0%
ASCII 38
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20
52.6%
, 8
 
21.1%
) 3
 
7.9%
( 3
 
7.9%
C 2
 
5.3%
V 1
 
2.6%
T 1
 
2.6%
Hangul
ValueCountFrequency (%)
가 7
 
4.6%
루 7
 
4.6%
고 6
 
3.9%
류 6
 
3.9%
장 5
 
3.3%
추 5
 
3.3%
및 4
 
2.6%
제 4
 
2.6%
스 4
 
2.6%
치 3
 
2.0%
Other values (79) 101
66.4%

공장홈페이지
Categorical

IMBALANCE 

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
22 
<NA>
 
2
www.yyrptc.or.kr
 
1

Length

Max length16
Median length1
Mean length1.84
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st row
2nd row<NA>
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
22
88.0%
<NA> 2
 
8.0%
www.yyrptc.or.kr 1
 
4.0%

Length

2023-12-12T07:52:21.826925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:52:21.956418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2
66.7%
www.yyrptc.or.kr 1
33.3%

공장우편번호
Real number (ℝ)

Distinct16
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36525.04
Minimum36501
Maximum36551
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-12T07:52:22.070542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36501
5-th percentile36507
Q136512
median36515
Q336542
95-th percentile36548
Maximum36551
Range50
Interquartile range (IQR)30

Descriptive statistics

Standard deviation16.959461
Coefficient of variation (CV)0.00046432424
Kurtosis-1.7717618
Mean36525.04
Median Absolute Deviation (MAD)8
Skewness0.24812851
Sum913126
Variance287.62333
MonotonicityNot monotonic
2023-12-12T07:52:22.209224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
36513 3
12.0%
36542 2
 
8.0%
36545 2
 
8.0%
36548 2
 
8.0%
36508 2
 
8.0%
36514 2
 
8.0%
36507 2
 
8.0%
36540 2
 
8.0%
36538 1
 
4.0%
36536 1
 
4.0%
Other values (6) 6
24.0%
ValueCountFrequency (%)
36501 1
 
4.0%
36507 2
8.0%
36508 2
8.0%
36510 1
 
4.0%
36512 1
 
4.0%
36513 3
12.0%
36514 2
8.0%
36515 1
 
4.0%
36516 1
 
4.0%
36536 1
 
4.0%
ValueCountFrequency (%)
36551 1
4.0%
36548 2
8.0%
36545 2
8.0%
36542 2
8.0%
36540 2
8.0%
36538 1
4.0%
36536 1
4.0%
36516 1
4.0%
36515 1
4.0%
36514 2
8.0%

공장대표주소(도로명주소)
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T07:52:22.444477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length21.28
Min length19

Characters and Unicode

Total characters532
Distinct characters49
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row경상북도 영양군 영양읍 황용천길 66, 2층
2nd row경상북도 영양군 일월면 주실1길 64
3rd row경상북도 영양군 일월면 영양로 2492-25
4th row경상북도 영양군 입암면 양항길 28
5th row경상북도 영양군 일월면 오리도곡로 435
ValueCountFrequency (%)
경상북도 25
19.8%
영양군 25
19.8%
일월면 9
 
7.1%
영양읍 6
 
4.8%
청기면 5
 
4.0%
입암면 5
 
4.0%
청기로 4
 
3.2%
영양로 3
 
2.4%
재일로 3
 
2.4%
주실1길 3
 
2.4%
Other values (35) 38
30.2%
2023-12-12T07:52:22.851537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
102
19.2%
양 38
 
7.1%
영 36
 
6.8%
도 26
 
4.9%
경 25
 
4.7%
북 25
 
4.7%
군 25
 
4.7%
상 25
 
4.7%
면 19
 
3.6%
2 16
 
3.0%
Other values (39) 195
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 334
62.8%
Space Separator 102
 
19.2%
Decimal Number 87
 
16.4%
Dash Punctuation 8
 
1.5%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 38
11.4%
영 36
10.8%
도 26
 
7.8%
경 25
 
7.5%
북 25
 
7.5%
군 25
 
7.5%
상 25
 
7.5%
면 19
 
5.7%
로 15
 
4.5%
일 12
 
3.6%
Other values (26) 88
26.3%
Decimal Number
ValueCountFrequency (%)
2 16
18.4%
1 14
16.1%
6 11
12.6%
4 11
12.6%
3 10
11.5%
5 8
9.2%
7 6
 
6.9%
0 5
 
5.7%
8 3
 
3.4%
9 3
 
3.4%
Space Separator
ValueCountFrequency (%)
102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 334
62.8%
Common 198
37.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 38
11.4%
영 36
10.8%
도 26
 
7.8%
경 25
 
7.5%
북 25
 
7.5%
군 25
 
7.5%
상 25
 
7.5%
면 19
 
5.7%
로 15
 
4.5%
일 12
 
3.6%
Other values (26) 88
26.3%
Common
ValueCountFrequency (%)
102
51.5%
2 16
 
8.1%
1 14
 
7.1%
6 11
 
5.6%
4 11
 
5.6%
3 10
 
5.1%
- 8
 
4.0%
5 8
 
4.0%
7 6
 
3.0%
0 5
 
2.5%
Other values (3) 7
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 334
62.8%
ASCII 198
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
102
51.5%
2 16
 
8.1%
1 14
 
7.1%
6 11
 
5.6%
4 11
 
5.6%
3 10
 
5.1%
- 8
 
4.0%
5 8
 
4.0%
7 6
 
3.0%
0 5
 
2.5%
Other values (3) 7
 
3.5%
Hangul
ValueCountFrequency (%)
양 38
11.4%
영 36
10.8%
도 26
 
7.8%
경 25
 
7.5%
북 25
 
7.5%
군 25
 
7.5%
상 25
 
7.5%
면 19
 
5.7%
로 15
 
4.5%
일 12
 
3.6%
Other values (26) 88
26.3%

공장대표주소(지번)
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T07:52:23.088934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length25
Mean length23.2
Min length21

Characters and Unicode

Total characters580
Distinct characters48
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

Unique25 ?
Unique (%)100.0%

Sample

1st row경상북도 영양군 영양읍 동부리 507-5번지
2nd row경상북도 영양군 일월면 주곡리 586-9번지
3rd row경상북도 영양군 일월면 도계리 30-1번지
4th row경상북도 영양군 입암면 신구리 39번지
5th row경상북도 영양군 일월면 오리리 736-1번지
ValueCountFrequency (%)
경상북도 25
19.7%
영양군 25
19.7%
일월면 9
 
7.1%
영양읍 6
 
4.7%
청기면 5
 
3.9%
입암면 5
 
3.9%
동부리 4
 
3.1%
주곡리 3
 
2.4%
청기리 2
 
1.6%
신구리 2
 
1.6%
Other values (38) 41
32.3%
2023-12-12T07:52:23.481740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
103
17.8%
영 31
 
5.3%
양 31
 
5.3%
도 27
 
4.7%
리 26
 
4.5%
상 26
 
4.5%
북 25
 
4.3%
군 25
 
4.3%
번 25
 
4.3%
지 25
 
4.3%
Other values (38) 236
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 373
64.3%
Space Separator 103
 
17.8%
Decimal Number 86
 
14.8%
Dash Punctuation 18
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 31
 
8.3%
양 31
 
8.3%
도 27
 
7.2%
리 26
 
7.0%
상 26
 
7.0%
북 25
 
6.7%
군 25
 
6.7%
번 25
 
6.7%
지 25
 
6.7%
경 25
 
6.7%
Other values (26) 107
28.7%
Decimal Number
ValueCountFrequency (%)
2 13
15.1%
1 13
15.1%
3 11
12.8%
5 9
10.5%
7 9
10.5%
8 8
9.3%
6 8
9.3%
0 6
7.0%
9 5
 
5.8%
4 4
 
4.7%
Space Separator
ValueCountFrequency (%)
103
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 373
64.3%
Common 207
35.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 31
 
8.3%
양 31
 
8.3%
도 27
 
7.2%
리 26
 
7.0%
상 26
 
7.0%
북 25
 
6.7%
군 25
 
6.7%
번 25
 
6.7%
지 25
 
6.7%
경 25
 
6.7%
Other values (26) 107
28.7%
Common
ValueCountFrequency (%)
103
49.8%
- 18
 
8.7%
2 13
 
6.3%
1 13
 
6.3%
3 11
 
5.3%
5 9
 
4.3%
7 9
 
4.3%
8 8
 
3.9%
6 8
 
3.9%
0 6
 
2.9%
Other values (2) 9
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 373
64.3%
ASCII 207
35.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
103
49.8%
- 18
 
8.7%
2 13
 
6.3%
1 13
 
6.3%
3 11
 
5.3%
5 9
 
4.3%
7 9
 
4.3%
8 8
 
3.9%
6 8
 
3.9%
0 6
 
2.9%
Other values (2) 9
 
4.3%
Hangul
ValueCountFrequency (%)
영 31
 
8.3%
양 31
 
8.3%
도 27
 
7.2%
리 26
 
7.0%
상 26
 
7.0%
북 25
 
6.7%
군 25
 
6.7%
번 25
 
6.7%
지 25
 
6.7%
경 25
 
6.7%
Other values (26) 107
28.7%

업종명
Text

Distinct19
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T07:52:23.712951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length13.36
Min length6

Characters and Unicode

Total characters334
Distinct characters71
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

Unique16 ?
Unique (%)64.0%

Sample

1st row방송장비 제조업 외 1 종
2nd row장류 제조업 외 2 종
3rd row레미콘 제조업
4th row아스팔트 콘크리트 및 혼합제품 제조업
5th row생수 생산업
ValueCountFrequency (%)
제조업 23
21.5%
및 9
 
8.4%
종 8
 
7.5%
외 8
 
7.5%
조미료 6
 
5.6%
천연 5
 
4.7%
혼합조제 5
 
4.7%
2 4
 
3.7%
기타 4
 
3.7%
1 3
 
2.8%
Other values (27) 32
29.9%
2023-12-12T07:52:24.126170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
82
24.6%
조 34
 
10.2%
제 32
 
9.6%
업 25
 
7.5%
및 9
 
2.7%
합 8
 
2.4%
미 8
 
2.4%
료 8
 
2.4%
외 8
 
2.4%
종 8
 
2.4%
Other values (61) 112
33.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 243
72.8%
Space Separator 82
 
24.6%
Decimal Number 8
 
2.4%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 34
 
14.0%
제 32
 
13.2%
업 25
 
10.3%
및 9
 
3.7%
합 8
 
3.3%
미 8
 
3.3%
료 8
 
3.3%
외 8
 
3.3%
종 8
 
3.3%
류 7
 
2.9%
Other values (56) 96
39.5%
Decimal Number
ValueCountFrequency (%)
2 4
50.0%
1 3
37.5%
4 1
 
12.5%
Space Separator
ValueCountFrequency (%)
82
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 243
72.8%
Common 91
 
27.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 34
 
14.0%
제 32
 
13.2%
업 25
 
10.3%
및 9
 
3.7%
합 8
 
3.3%
미 8
 
3.3%
료 8
 
3.3%
외 8
 
3.3%
종 8
 
3.3%
류 7
 
2.9%
Other values (56) 96
39.5%
Common
ValueCountFrequency (%)
82
90.1%
2 4
 
4.4%
1 3
 
3.3%
, 1
 
1.1%
4 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 243
72.8%
ASCII 91
 
27.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
82
90.1%
2 4
 
4.4%
1 3
 
3.3%
, 1
 
1.1%
4 1
 
1.1%
Hangul
ValueCountFrequency (%)
조 34
 
14.0%
제 32
 
13.2%
업 25
 
10.3%
및 9
 
3.7%
합 8
 
3.3%
미 8
 
3.3%
료 8
 
3.3%
외 8
 
3.3%
종 8
 
3.3%
류 7
 
2.9%
Other values (56) 96
39.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2023-10-27 00:00:00
Maximum2023-10-27 00:00:00
2023-12-12T07:52:24.290368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:52:24.389404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T07:52:18.306939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:52:18.157315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:52:18.373161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:52:18.239576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T07:52:24.480046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번회사명대표자명전화번호팩스번호생산품공장홈페이지공장우편번호공장대표주소(도로명주소)공장대표주소(지번)업종명
순번1.0001.0000.9141.0001.0000.7030.4880.4251.0001.0000.580
회사명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
대표자명0.9141.0001.0001.0001.0000.9790.0001.0001.0001.0000.973
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
팩스번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
생산품0.7031.0000.9791.0001.0001.0001.0000.0001.0001.0001.000
공장홈페이지0.4881.0000.0001.0001.0001.0001.0000.0001.0001.0001.000
공장우편번호0.4251.0001.0001.0001.0000.0000.0001.0001.0001.0000.000
공장대표주소(도로명주소)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
공장대표주소(지번)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
업종명0.5801.0000.9731.0001.0001.0001.0000.0001.0001.0001.000
2023-12-12T07:52:24.652556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번공장우편번호공장홈페이지
순번1.000-0.1480.000
공장우편번호-0.1481.0000.000
공장홈페이지0.0000.0001.000

Missing values

2023-12-12T07:52:18.472103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T07:52:18.625218image/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

순번회사명대표자명전화번호팩스번호생산품공장홈페이지공장우편번호공장대표주소(도로명주소)공장대표주소(지번)업종명데이터기준일자
01(주)나래황경모054-683-0020<NA>CCTV, 스피커36542경상북도 영양군 영양읍 황용천길 66, 2층경상북도 영양군 영양읍 동부리 507-5번지방송장비 제조업 외 1 종2023-10-27
12(주)네이처셀 영양공장라정찬070-7019-6876<NA>전통장류<NA>36514경상북도 영양군 일월면 주실1길 64경상북도 영양군 일월면 주곡리 586-9번지장류 제조업 외 2 종2023-10-27
23(주)대동산업이호근054-682-6937054-682-6938레미콘36515경상북도 영양군 일월면 영양로 2492-25경상북도 영양군 일월면 도계리 30-1번지레미콘 제조업2023-10-27
34(주)삼영건설영양지점조승재054-682-5473054-682-2337아스팔트콘크리트36548경상북도 영양군 입암면 양항길 28경상북도 영양군 입암면 신구리 39번지아스팔트 콘크리트 및 혼합제품 제조업2023-10-27
45(주)상원이중재054-683-9116<NA>먹는샘물36512경상북도 영양군 일월면 오리도곡로 435경상북도 영양군 일월면 오리리 736-1번지생수 생산업2023-10-27
56(주)영양레미콘고희권054-682-0303054-682-0306레미콘36548경상북도 영양군 입암면 양항길 42경상북도 영양군 입암면 신구리 43-2번지레미콘 제조업2023-10-27
67(주)영양칠보석재최수영054-683-9901<NA>성형가공석재및석제품제조업36516경상북도 영양군 일월면 영양로 2750경상북도 영양군 일월면 섬촌리 80-3번지기타 석제품 제조업2023-10-27
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89농업회사법인 영양그린푸드(주)남호섭070-7433-75150505-665-2002소스류,장류,김치,음료수36513경상북도 영양군 일월면 주실1길 80경상북도 영양군 일월면 주곡리 607 번지김치류 제조업 외 4 종2023-10-27
910동명철망최석문054-783-6028054-783-2882돌망태36510경상북도 영양군 일월면 영양로 3259-15경상북도 영양군 일월면 문암리 79번지금속선 가공제품 제조업2023-10-27
순번회사명대표자명전화번호팩스번호생산품공장홈페이지공장우편번호공장대표주소(도로명주소)공장대표주소(지번)업종명데이터기준일자
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