Overview

Dataset statistics

Number of variables4
Number of observations44
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory35.0 B

Variable types

Text3
DateTime1

Dataset

Description충청북도 옥천군 다량배출사업장현황으로 (상호명, 주소, 전화번호, 비고, 데이터기준일) 등의 데이터를 제공합니다.
Author충청북도 옥천군
URLhttps://www.data.go.kr/data/15042956/fileData.do

Alerts

데이터기준일 has constant value ""Constant
상호 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:47:15.316372
Analysis finished2023-12-12 01:47:15.730811
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-12T10:47:15.894205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length9.7272727
Min length4

Characters and Unicode

Total characters428
Distinct characters173
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)100.0%

Sample

1st row(주)가온에프엔에스 인지컨트롤스점
2nd row(주)드림푸드서비스코스모링크점
3rd row(주)신세계푸드국제종합기계
4th row(주)아이비푸드 옥천산업지점
5th row경성만두요리전문점
ValueCountFrequency (%)
의료법인 3
 
4.8%
옥천점 2
 
3.2%
주)가온에프엔에스 1
 
1.6%
이원중학교 1
 
1.6%
울엄마 1
 
1.6%
양평해장국 1
 
1.6%
전통짜장 1
 
1.6%
유한회사 1
 
1.6%
명가 1
 
1.6%
도담의료재단 1
 
1.6%
Other values (49) 49
79.0%
2023-12-12T10:47:16.329875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19
 
4.4%
학 15
 
3.5%
교 13
 
3.0%
옥 12
 
2.8%
천 11
 
2.6%
( 10
 
2.3%
) 10
 
2.3%
등 10
 
2.3%
이 8
 
1.9%
점 7
 
1.6%
Other values (163) 313
73.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 388
90.7%
Space Separator 19
 
4.4%
Open Punctuation 10
 
2.3%
Close Punctuation 10
 
2.3%
Other Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 15
 
3.9%
교 13
 
3.4%
옥 12
 
3.1%
천 11
 
2.8%
등 10
 
2.6%
이 8
 
2.1%
점 7
 
1.8%
초 7
 
1.8%
한 7
 
1.8%
주 7
 
1.8%
Other values (159) 291
75.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 389
90.9%
Common 39
 
9.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 15
 
3.9%
교 13
 
3.3%
옥 12
 
3.1%
천 11
 
2.8%
등 10
 
2.6%
이 8
 
2.1%
점 7
 
1.8%
초 7
 
1.8%
한 7
 
1.8%
주 7
 
1.8%
Other values (160) 292
75.1%
Common
ValueCountFrequency (%)
19
48.7%
( 10
25.6%
) 10
25.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 388
90.7%
ASCII 39
 
9.1%
None 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19
48.7%
( 10
25.6%
) 10
25.6%
Hangul
ValueCountFrequency (%)
학 15
 
3.9%
교 13
 
3.4%
옥 12
 
3.1%
천 11
 
2.8%
등 10
 
2.6%
이 8
 
2.1%
점 7
 
1.8%
초 7
 
1.8%
한 7
 
1.8%
주 7
 
1.8%
Other values (159) 291
75.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

주소
Text

Distinct43
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-12T10:47:16.627945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length20.522727
Min length18

Characters and Unicode

Total characters903
Distinct characters68
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

Unique42 ?
Unique (%)95.5%

Sample

1st row충청북도 옥천군 이원면 이원농공로 70
2nd row충청북도 옥천군 이원면 이원농공로 50-3
3rd row충청북도 옥천군 옥천읍 서부로 49
4th row충청북도 옥천군 옥천읍 옥천농공길 53-7
5th row충청북도 옥천군 옥천읍 옥천로 1644
ValueCountFrequency (%)
충청북도 44
20.0%
옥천군 44
20.0%
옥천읍 34
15.5%
중앙로 6
 
2.7%
이원면 6
 
2.7%
삼양로 5
 
2.3%
25 4
 
1.8%
청산면 3
 
1.4%
옥천로 3
 
1.4%
성왕로 3
 
1.4%
Other values (64) 68
30.9%
2023-12-12T10:47:17.067602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
177
19.6%
옥 84
 
9.3%
천 84
 
9.3%
청 49
 
5.4%
충 44
 
4.9%
북 44
 
4.9%
도 44
 
4.9%
군 44
 
4.9%
읍 34
 
3.8%
로 29
 
3.2%
Other values (58) 270
29.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 590
65.3%
Space Separator 177
 
19.6%
Decimal Number 124
 
13.7%
Dash Punctuation 8
 
0.9%
Uppercase Letter 2
 
0.2%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
옥 84
14.2%
천 84
14.2%
청 49
8.3%
충 44
 
7.5%
북 44
 
7.5%
도 44
 
7.5%
군 44
 
7.5%
읍 34
 
5.8%
로 29
 
4.9%
길 17
 
2.9%
Other values (42) 117
19.8%
Decimal Number
ValueCountFrequency (%)
1 27
21.8%
2 15
12.1%
5 14
11.3%
9 14
11.3%
4 12
9.7%
6 11
8.9%
7 10
 
8.1%
8 7
 
5.6%
0 7
 
5.6%
3 7
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
J 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
177
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 590
65.3%
Common 311
34.4%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
옥 84
14.2%
천 84
14.2%
청 49
8.3%
충 44
 
7.5%
북 44
 
7.5%
도 44
 
7.5%
군 44
 
7.5%
읍 34
 
5.8%
로 29
 
4.9%
길 17
 
2.9%
Other values (42) 117
19.8%
Common
ValueCountFrequency (%)
177
56.9%
1 27
 
8.7%
2 15
 
4.8%
5 14
 
4.5%
9 14
 
4.5%
4 12
 
3.9%
6 11
 
3.5%
7 10
 
3.2%
- 8
 
2.6%
8 7
 
2.3%
Other values (4) 16
 
5.1%
Latin
ValueCountFrequency (%)
J 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 590
65.3%
ASCII 313
34.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
177
56.5%
1 27
 
8.6%
2 15
 
4.8%
5 14
 
4.5%
9 14
 
4.5%
4 12
 
3.8%
6 11
 
3.5%
7 10
 
3.2%
- 8
 
2.6%
8 7
 
2.2%
Other values (6) 18
 
5.8%
Hangul
ValueCountFrequency (%)
옥 84
14.2%
천 84
14.2%
청 49
8.3%
충 44
 
7.5%
북 44
 
7.5%
도 44
 
7.5%
군 44
 
7.5%
읍 34
 
5.8%
로 29
 
4.9%
길 17
 
2.9%
Other values (42) 117
19.8%

전화번호
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-12T10:47:17.388206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters352
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

Unique44 ?
Unique (%)100.0%

Sample

1st row730-5223
2nd row730-1263
3rd row733-7208
4th row730-5500
5th row733-8834
ValueCountFrequency (%)
730-5223 1
 
2.3%
730-1263 1
 
2.3%
732-2015 1
 
2.3%
733-4613 1
 
2.3%
733-5950 1
 
2.3%
732-0119 1
 
2.3%
733-6604 1
 
2.3%
732-2070 1
 
2.3%
731-0066 1
 
2.3%
733-8655 1
 
2.3%
Other values (34) 34
77.3%
2023-12-12T10:47:17.834981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 77
21.9%
7 53
15.1%
- 44
12.5%
0 35
9.9%
1 30
 
8.5%
2 29
 
8.2%
6 23
 
6.5%
5 22
 
6.2%
4 14
 
4.0%
9 14
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 308
87.5%
Dash Punctuation 44
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 77
25.0%
7 53
17.2%
0 35
11.4%
1 30
 
9.7%
2 29
 
9.4%
6 23
 
7.5%
5 22
 
7.1%
4 14
 
4.5%
9 14
 
4.5%
8 11
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 352
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 77
21.9%
7 53
15.1%
- 44
12.5%
0 35
9.9%
1 30
 
8.5%
2 29
 
8.2%
6 23
 
6.5%
5 22
 
6.2%
4 14
 
4.0%
9 14
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 352
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 77
21.9%
7 53
15.1%
- 44
12.5%
0 35
9.9%
1 30
 
8.5%
2 29
 
8.2%
6 23
 
6.5%
5 22
 
6.2%
4 14
 
4.0%
9 14
 
4.0%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum2023-03-03 00:00:00
Maximum2023-03-03 00:00:00
2023-12-12T10:47:17.974056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:47:18.077823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T10:47:18.189900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상호주소전화번호
상호1.0001.0001.000
주소1.0001.0001.000
전화번호1.0001.0001.000

Missing values

2023-12-12T10:47:15.582124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:47:15.687368image/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

상호주소전화번호데이터기준일
0(주)가온에프엔에스 인지컨트롤스점충청북도 옥천군 이원면 이원농공로 70730-52232023-03-03
1(주)드림푸드서비스코스모링크점충청북도 옥천군 이원면 이원농공로 50-3730-12632023-03-03
2(주)신세계푸드국제종합기계충청북도 옥천군 옥천읍 서부로 49733-72082023-03-03
3(주)아이비푸드 옥천산업지점충청북도 옥천군 옥천읍 옥천농공길 53-7730-55002023-03-03
4경성만두요리전문점충청북도 옥천군 옥천읍 옥천로 1644733-88342023-03-03
5군남초등학교충청북도 옥천군 옥천읍 서대구일로 10730-85412023-03-03
6동이초등학교충청북도 옥천군 동이면 평산길 6730-60002023-03-03
7롯데리아 옥천점충청북도 옥천군 옥천읍 중앙로 45732-79422023-03-03
8명륜진사갈비 옥천점충청북도 옥천군 옥천읍 금장로 70733-63562023-03-03
9보령물산(주) 옥천(상)휴게소충청북도 옥천군 옥천읍 옥천동이로 242-34732-30512023-03-03
상호주소전화번호데이터기준일
34청산고등학교충청북도 옥천군 청산면 청산로 92731-66602023-03-03
35청산초등학교충청북도 옥천군 청산면 지전길 36-19732-13792023-03-03
36청풍명월향수한우판매장영농조합법인충청북도 옥천군 옥천읍 가화길 86733-27112023-03-03
37충북도립대학충청북도 옥천군 옥천읍 대학길 15220-53442023-03-03
38충북산업과학고등학교충청북도 옥천군 옥천읍 중앙로 144733-29932023-03-03
39큰길명품한우충청북도 옥천군 옥천읍 중앙로 192733-00652023-03-03
40풀무원푸드앤컬처 한국엔지니어링웍스충청북도 옥천군 옥천읍 옥천농공길 79731-61712023-03-03
41한일후드㈜충청북도 옥천군 청산면 남부로 1917-12731-33352023-03-03
42한마음정육식당충청북도 옥천군 옥천읍 옥천로 1677-1732-92792023-03-03
43화평동갈비냉면만두충청북도 옥천군 옥천읍 문장로 98-18733-66062023-03-03