Overview

Dataset statistics

Number of variables6
Number of observations42
Missing cells19
Missing cells (%)7.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory51.1 B

Variable types

Categorical2
Text4

Dataset

Description경상북도 구미시 식품유통 전문판매업체 정보로 사업장명칭, 소재지, 전화번호, 관리기관 등의 데이터를 제공항고 있습니다.
URLhttps://www.data.go.kr/data/15033499/fileData.do

Alerts

업종명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지전화 has 19 (45.2%) missing valuesMissing
업소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique
소재지(지번) has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:31:12.026224
Analysis finished2023-12-12 05:31:12.635655
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
유통전문판매업
42 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유통전문판매업
2nd row유통전문판매업
3rd row유통전문판매업
4th row유통전문판매업
5th row유통전문판매업

Common Values

ValueCountFrequency (%)
유통전문판매업 42
100.0%

Length

2023-12-12T14:31:12.709345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:31:12.848302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통전문판매업 42
100.0%

업소명
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-12T14:31:13.117151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length6.7142857
Min length2

Characters and Unicode

Total characters282
Distinct characters124
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

Unique42 ?
Unique (%)100.0%

Sample

1st row(주)더불어사는마을
2nd row푸른들
3rd row(주)황토마루
4th row가야식품
5th row(주)에스제이코레
ValueCountFrequency (%)
주)더불어사는마을 1
 
2.3%
설포라바이오 1
 
2.3%
코원상사 1
 
2.3%
주식회사와이케이 1
 
2.3%
주식회사소동밀면 1
 
2.3%
유어밸런스 1
 
2.3%
싹쓰리팩토리 1
 
2.3%
주식회사교동에프앤비 1
 
2.3%
주)설프라바이오 1
 
2.3%
주식회사바로푸드 1
 
2.3%
Other values (33) 33
76.7%
2023-12-12T14:31:13.644989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16
 
5.7%
16
 
5.7%
11
 
3.9%
10
 
3.5%
9
 
3.2%
9
 
3.2%
( 8
 
2.8%
) 8
 
2.8%
6
 
2.1%
6
 
2.1%
Other values (114) 183
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 265
94.0%
Open Punctuation 8
 
2.8%
Close Punctuation 8
 
2.8%
Space Separator 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
16
 
6.0%
16
 
6.0%
11
 
4.2%
10
 
3.8%
9
 
3.4%
9
 
3.4%
6
 
2.3%
6
 
2.3%
6
 
2.3%
6
 
2.3%
Other values (111) 170
64.2%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 265
94.0%
Common 17
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
16
 
6.0%
16
 
6.0%
11
 
4.2%
10
 
3.8%
9
 
3.4%
9
 
3.4%
6
 
2.3%
6
 
2.3%
6
 
2.3%
6
 
2.3%
Other values (111) 170
64.2%
Common
ValueCountFrequency (%)
( 8
47.1%
) 8
47.1%
1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 265
94.0%
ASCII 17
 
6.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
16
 
6.0%
16
 
6.0%
11
 
4.2%
10
 
3.8%
9
 
3.4%
9
 
3.4%
6
 
2.3%
6
 
2.3%
6
 
2.3%
6
 
2.3%
Other values (111) 170
64.2%
ASCII
ValueCountFrequency (%)
( 8
47.1%
) 8
47.1%
1
 
5.9%
Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-12T14:31:14.043922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length37
Mean length30.738095
Min length23

Characters and Unicode

Total characters1291
Distinct characters97
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

Unique42 ?
Unique (%)100.0%

Sample

1st row경상북도 구미시 선산읍 선상서로 264-22
2nd row경상북도 구미시 송원서로 90 (원평동 1층)
3rd row경상북도 구미시 선산읍 선상서로 264-22 (외 1필지)
4th row경상북도 구미시 인동가산로 446-17 (신동)
5th row경상북도 구미시 고아읍 선산대로 745 1동 1층
ValueCountFrequency (%)
경상북도 42
 
15.1%
구미시 42
 
15.1%
1층 25
 
9.0%
2층 5
 
1.8%
도량동 5
 
1.8%
1동 5
 
1.8%
봉곡동 4
 
1.4%
고아읍 4
 
1.4%
선산읍 4
 
1.4%
선상서로 3
 
1.1%
Other values (118) 140
50.2%
2023-12-12T14:31:14.571661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
279
21.6%
1 87
 
6.7%
59
 
4.6%
52
 
4.0%
46
 
3.6%
45
 
3.5%
45
 
3.5%
45
 
3.5%
43
 
3.3%
42
 
3.3%
Other values (87) 548
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 691
53.5%
Space Separator 279
21.6%
Decimal Number 234
 
18.1%
Open Punctuation 31
 
2.4%
Close Punctuation 31
 
2.4%
Dash Punctuation 22
 
1.7%
Uppercase Letter 2
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
59
 
8.5%
52
 
7.5%
46
 
6.7%
45
 
6.5%
45
 
6.5%
45
 
6.5%
43
 
6.2%
42
 
6.1%
37
 
5.4%
35
 
5.1%
Other values (70) 242
35.0%
Decimal Number
ValueCountFrequency (%)
1 87
37.2%
2 37
15.8%
4 28
 
12.0%
0 17
 
7.3%
9 14
 
6.0%
5 14
 
6.0%
7 11
 
4.7%
3 11
 
4.7%
6 8
 
3.4%
8 7
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
279
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 691
53.5%
Common 598
46.3%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
59
 
8.5%
52
 
7.5%
46
 
6.7%
45
 
6.5%
45
 
6.5%
45
 
6.5%
43
 
6.2%
42
 
6.1%
37
 
5.4%
35
 
5.1%
Other values (70) 242
35.0%
Common
ValueCountFrequency (%)
279
46.7%
1 87
 
14.5%
2 37
 
6.2%
( 31
 
5.2%
) 31
 
5.2%
4 28
 
4.7%
- 22
 
3.7%
0 17
 
2.8%
9 14
 
2.3%
5 14
 
2.3%
Other values (5) 38
 
6.4%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 691
53.5%
ASCII 600
46.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
279
46.5%
1 87
 
14.5%
2 37
 
6.2%
( 31
 
5.2%
) 31
 
5.2%
4 28
 
4.7%
- 22
 
3.7%
0 17
 
2.8%
9 14
 
2.3%
5 14
 
2.3%
Other values (7) 40
 
6.7%
Hangul
ValueCountFrequency (%)
59
 
8.5%
52
 
7.5%
46
 
6.7%
45
 
6.5%
45
 
6.5%
45
 
6.5%
43
 
6.2%
42
 
6.1%
37
 
5.4%
35
 
5.1%
Other values (70) 242
35.0%

소재지(지번)
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-12T14:31:14.933350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length33
Mean length25.809524
Min length16

Characters and Unicode

Total characters1084
Distinct characters92
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

Unique42 ?
Unique (%)100.0%

Sample

1st row경상북도 구미시 선산읍 죽장리 626-1
2nd row경상북도 구미시 원평동 1049-5 1층
3rd row경상북도 구미시 선산읍 죽장리 626-1 외 1필지
4th row경상북도 구미시 신동 683
5th row경상북도 구미시 고아읍 항곡리 339 1층 1동
ValueCountFrequency (%)
경상북도 42
 
16.8%
구미시 42
 
16.8%
1층 25
 
10.0%
도량동 5
 
2.0%
2층 5
 
2.0%
1동 5
 
2.0%
봉곡동 4
 
1.6%
선산읍 4
 
1.6%
고아읍 4
 
1.6%
송정동 3
 
1.2%
Other values (97) 111
44.4%
2023-12-12T14:31:15.443032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
244
22.5%
1 70
 
6.5%
50
 
4.6%
47
 
4.3%
45
 
4.2%
45
 
4.2%
43
 
4.0%
42
 
3.9%
42
 
3.9%
42
 
3.9%
Other values (82) 414
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 569
52.5%
Space Separator 244
22.5%
Decimal Number 236
21.8%
Dash Punctuation 32
 
3.0%
Uppercase Letter 2
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
50
 
8.8%
47
 
8.3%
45
 
7.9%
45
 
7.9%
43
 
7.6%
42
 
7.4%
42
 
7.4%
42
 
7.4%
35
 
6.2%
14
 
2.5%
Other values (67) 164
28.8%
Decimal Number
ValueCountFrequency (%)
1 70
29.7%
2 31
13.1%
6 23
 
9.7%
5 21
 
8.9%
4 20
 
8.5%
3 19
 
8.1%
0 19
 
8.1%
9 13
 
5.5%
8 11
 
4.7%
7 9
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
244
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 569
52.5%
Common 513
47.3%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
50
 
8.8%
47
 
8.3%
45
 
7.9%
45
 
7.9%
43
 
7.6%
42
 
7.4%
42
 
7.4%
42
 
7.4%
35
 
6.2%
14
 
2.5%
Other values (67) 164
28.8%
Common
ValueCountFrequency (%)
244
47.6%
1 70
 
13.6%
- 32
 
6.2%
2 31
 
6.0%
6 23
 
4.5%
5 21
 
4.1%
4 20
 
3.9%
3 19
 
3.7%
0 19
 
3.7%
9 13
 
2.5%
Other values (3) 21
 
4.1%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 569
52.5%
ASCII 515
47.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
244
47.4%
1 70
 
13.6%
- 32
 
6.2%
2 31
 
6.0%
6 23
 
4.5%
5 21
 
4.1%
4 20
 
3.9%
3 19
 
3.7%
0 19
 
3.7%
9 13
 
2.5%
Other values (5) 23
 
4.5%
Hangul
ValueCountFrequency (%)
50
 
8.8%
47
 
8.3%
45
 
7.9%
45
 
7.9%
43
 
7.6%
42
 
7.4%
42
 
7.4%
42
 
7.4%
35
 
6.2%
14
 
2.5%
Other values (67) 164
28.8%

소재지전화
Text

MISSING 

Distinct22
Distinct (%)95.7%
Missing19
Missing (%)45.2%
Memory size468.0 B
2023-12-12T14:31:15.703541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12
Min length9

Characters and Unicode

Total characters276
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

Unique21 ?
Unique (%)91.3%

Sample

1st row054-481-4255
2nd row054-481-4255
3rd row070-7708-6130
4th row054-451-4569
5th row02-516-1153
ValueCountFrequency (%)
054-481-4255 2
 
8.7%
054-471-9924 1
 
4.3%
054-465-5511 1
 
4.3%
054-461-5550 1
 
4.3%
054-482-1770 1
 
4.3%
054-972-8501 1
 
4.3%
054-451-6002 1
 
4.3%
054-464-0605 1
 
4.3%
070-7778-2012 1
 
4.3%
054-472-2270 1
 
4.3%
Other values (12) 12
52.2%
2023-12-12T14:31:16.134560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 45
16.3%
5 43
15.6%
4 42
15.2%
0 40
14.5%
1 27
9.8%
7 22
8.0%
2 16
 
5.8%
6 15
 
5.4%
8 11
 
4.0%
9 10
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 231
83.7%
Dash Punctuation 45
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 43
18.6%
4 42
18.2%
0 40
17.3%
1 27
11.7%
7 22
9.5%
2 16
 
6.9%
6 15
 
6.5%
8 11
 
4.8%
9 10
 
4.3%
3 5
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 45
16.3%
5 43
15.6%
4 42
15.2%
0 40
14.5%
1 27
9.8%
7 22
8.0%
2 16
 
5.8%
6 15
 
5.4%
8 11
 
4.0%
9 10
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 45
16.3%
5 43
15.6%
4 42
15.2%
0 40
14.5%
1 27
9.8%
7 22
8.0%
2 16
 
5.8%
6 15
 
5.4%
8 11
 
4.0%
9 10
 
3.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-07-28
42 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-28
2nd row2023-07-28
3rd row2023-07-28
4th row2023-07-28
5th row2023-07-28

Common Values

ValueCountFrequency (%)
2023-07-28 42
100.0%

Length

2023-12-12T14:31:16.309721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:31:16.413257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-28 42
100.0%

Correlations

2023-12-12T14:31:16.478775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지(도로명)소재지(지번)소재지전화
업소명1.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.000
소재지(지번)1.0001.0001.0001.000
소재지전화1.0001.0001.0001.000

Missing values

2023-12-12T14:31:12.385956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:31:12.566904image/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

업종명업소명소재지(도로명)소재지(지번)소재지전화데이터기준일자
0유통전문판매업(주)더불어사는마을경상북도 구미시 선산읍 선상서로 264-22경상북도 구미시 선산읍 죽장리 626-1054-481-42552023-07-28
1유통전문판매업푸른들경상북도 구미시 송원서로 90 (원평동 1층)경상북도 구미시 원평동 1049-5 1층<NA>2023-07-28
2유통전문판매업(주)황토마루경상북도 구미시 선산읍 선상서로 264-22 (외 1필지)경상북도 구미시 선산읍 죽장리 626-1 외 1필지054-481-42552023-07-28
3유통전문판매업가야식품경상북도 구미시 인동가산로 446-17 (신동)경상북도 구미시 신동 683<NA>2023-07-28
4유통전문판매업(주)에스제이코레경상북도 구미시 고아읍 선산대로 745 1동 1층경상북도 구미시 고아읍 항곡리 339 1층 1동070-7708-61302023-07-28
5유통전문판매업비오유통경상북도 구미시 형곡로19길 18-6 1층 (형곡동)경상북도 구미시 형곡동 166-8 1층054-451-45692023-07-28
6유통전문판매업케이티비인터내셔날(주)경상북도 구미시 문장로12길 21-4 1층 (도량동)경상북도 구미시 도량동 746-19 1층02-516-11532023-07-28
7유통전문판매업자라곡마을영농조합경상북도 구미시 산동읍 강동로 1007 1층경상북도 구미시 산동읍 적림리 67-6 1층054-471-67512023-07-28
8유통전문판매업주식회사청우유통경상북도 구미시 봉곡동로 19 2층 (봉곡동)경상북도 구미시 봉곡동 225-2 2층054-481-81012023-07-28
9유통전문판매업골든벅스경상북도 구미시 비산로5안길 5-68 2층 (비산동)경상북도 구미시 비산동 106-2 2층054-461-15652023-07-28
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35유통전문판매업보깨니경상북도 구미시 문장로 111 110동 503호 (도량동 도량 롯데캐슬 골드파크)경상북도 구미시 도량동 868 도량 롯데캐슬 골드파크 110동 503호<NA>2023-07-28
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40유통전문판매업(주)바른지앤비경상북도 구미시 해평면 강동로 1250 주2동 1층경상북도 구미시 해평면 괴곡리 736-2 1층 주2동054-461-55502023-07-28
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