Overview

Dataset statistics

Number of variables4
Number of observations137
Missing cells28
Missing cells (%)5.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory33.0 B

Variable types

Text3
DateTime1

Dataset

Description순창군 관내 소재 식품제조 가공업 현황(업소명, 허가일, 소재지, 전화번호) 입니다
Author전라북도 순창군
URLhttps://www.data.go.kr/data/15098256/fileData.do

Alerts

소재지전화 has 28 (20.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 15:56:06.367893
Analysis finished2023-12-12 15:56:06.830104
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct136
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T00:56:07.029523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length15
Mean length10.131387
Min length3

Characters and Unicode

Total characters1388
Distinct characters241
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

Unique135 ?
Unique (%)98.5%

Sample

1st row궁중음식본가주식회사농업회사법인
2nd row순창궁전전통식품
3rd row농업회사법인 한국절임 주식회사
4th row목원 흑염소농장
5th row만석군이기남고추장
ValueCountFrequency (%)
농업회사법인 14
 
7.1%
영농조합법인 12
 
6.1%
주식회사 8
 
4.1%
유한회사 7
 
3.6%
3
 
1.5%
순창발효#10 2
 
1.0%
재단법인 2
 
1.0%
순창공장 2
 
1.0%
향적원 2
 
1.0%
순창장본가 2
 
1.0%
Other values (143) 143
72.6%
2023-12-13T00:56:07.524662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
66
 
4.8%
64
 
4.6%
60
 
4.3%
60
 
4.3%
45
 
3.2%
45
 
3.2%
45
 
3.2%
44
 
3.2%
43
 
3.1%
42
 
3.0%
Other values (231) 874
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1267
91.3%
Space Separator 60
 
4.3%
Open Punctuation 20
 
1.4%
Close Punctuation 20
 
1.4%
Decimal Number 9
 
0.6%
Lowercase Letter 6
 
0.4%
Other Punctuation 3
 
0.2%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
66
 
5.2%
64
 
5.1%
60
 
4.7%
45
 
3.6%
45
 
3.6%
45
 
3.6%
44
 
3.5%
43
 
3.4%
42
 
3.3%
41
 
3.2%
Other values (214) 772
60.9%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
s 1
16.7%
u 1
16.7%
o 1
16.7%
a 1
16.7%
Decimal Number
ValueCountFrequency (%)
2 3
33.3%
1 3
33.3%
0 2
22.2%
3 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
H 1
33.3%
T 1
33.3%
M 1
33.3%
Other Punctuation
ValueCountFrequency (%)
# 2
66.7%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
60
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1267
91.3%
Common 112
 
8.1%
Latin 9
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
66
 
5.2%
64
 
5.1%
60
 
4.7%
45
 
3.6%
45
 
3.6%
45
 
3.6%
44
 
3.5%
43
 
3.4%
42
 
3.3%
41
 
3.2%
Other values (214) 772
60.9%
Common
ValueCountFrequency (%)
60
53.6%
( 20
 
17.9%
) 20
 
17.9%
2 3
 
2.7%
1 3
 
2.7%
# 2
 
1.8%
0 2
 
1.8%
3 1
 
0.9%
. 1
 
0.9%
Latin
ValueCountFrequency (%)
e 2
22.2%
s 1
11.1%
u 1
11.1%
o 1
11.1%
H 1
11.1%
T 1
11.1%
M 1
11.1%
a 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1267
91.3%
ASCII 121
 
8.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
66
 
5.2%
64
 
5.1%
60
 
4.7%
45
 
3.6%
45
 
3.6%
45
 
3.6%
44
 
3.5%
43
 
3.4%
42
 
3.3%
41
 
3.2%
Other values (214) 772
60.9%
ASCII
ValueCountFrequency (%)
60
49.6%
( 20
 
16.5%
) 20
 
16.5%
2 3
 
2.5%
1 3
 
2.5%
e 2
 
1.7%
# 2
 
1.7%
0 2
 
1.7%
3 1
 
0.8%
s 1
 
0.8%
Other values (7) 7
 
5.8%
Distinct123
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum1973-12-19 00:00:00
Maximum2021-11-18 00:00:00
2023-12-13T00:56:07.708503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:56:07.900292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct134
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T00:56:08.838425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length29
Mean length21.963504
Min length19

Characters and Unicode

Total characters3009
Distinct characters115
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

Unique131 ?
Unique (%)95.6%

Sample

1st row전라북도 순창군 동계면 장항길 13
2nd row전라북도 순창군 순창읍 장류로 329
3rd row전라북도 순창군 순창읍 장류로 20-35
4th row전라북도 순창군 풍산면 향가로 442-5
5th row전라북도 순창군 순창읍 민속마을길 50-2
ValueCountFrequency (%)
전라북도 137
19.9%
순창군 137
19.9%
순창읍 59
 
8.6%
민속마을길 42
 
6.1%
복흥면 15
 
2.2%
쌍치면 12
 
1.7%
풍산면 11
 
1.6%
인계면 10
 
1.4%
동계면 8
 
1.2%
장류로 7
 
1.0%
Other values (196) 252
36.5%
2023-12-13T00:56:10.329247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
555
18.4%
209
 
6.9%
201
 
6.7%
139
 
4.6%
138
 
4.6%
138
 
4.6%
137
 
4.6%
137
 
4.6%
- 88
 
2.9%
2 87
 
2.9%
Other values (105) 1180
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1896
63.0%
Space Separator 555
 
18.4%
Decimal Number 470
 
15.6%
Dash Punctuation 88
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
209
 
11.0%
201
 
10.6%
139
 
7.3%
138
 
7.3%
138
 
7.3%
137
 
7.2%
137
 
7.2%
86
 
4.5%
78
 
4.1%
59
 
3.1%
Other values (93) 574
30.3%
Decimal Number
ValueCountFrequency (%)
2 87
18.5%
1 77
16.4%
5 48
10.2%
4 48
10.2%
6 42
8.9%
3 42
8.9%
7 36
7.7%
0 33
 
7.0%
9 32
 
6.8%
8 25
 
5.3%
Space Separator
ValueCountFrequency (%)
555
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1896
63.0%
Common 1113
37.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
209
 
11.0%
201
 
10.6%
139
 
7.3%
138
 
7.3%
138
 
7.3%
137
 
7.2%
137
 
7.2%
86
 
4.5%
78
 
4.1%
59
 
3.1%
Other values (93) 574
30.3%
Common
ValueCountFrequency (%)
555
49.9%
- 88
 
7.9%
2 87
 
7.8%
1 77
 
6.9%
5 48
 
4.3%
4 48
 
4.3%
6 42
 
3.8%
3 42
 
3.8%
7 36
 
3.2%
0 33
 
3.0%
Other values (2) 57
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1896
63.0%
ASCII 1113
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
555
49.9%
- 88
 
7.9%
2 87
 
7.8%
1 77
 
6.9%
5 48
 
4.3%
4 48
 
4.3%
6 42
 
3.8%
3 42
 
3.8%
7 36
 
3.2%
0 33
 
3.0%
Other values (2) 57
 
5.1%
Hangul
ValueCountFrequency (%)
209
 
11.0%
201
 
10.6%
139
 
7.3%
138
 
7.3%
138
 
7.3%
137
 
7.2%
137
 
7.2%
86
 
4.5%
78
 
4.1%
59
 
3.1%
Other values (93) 574
30.3%

소재지전화
Text

MISSING 

Distinct101
Distinct (%)92.7%
Missing28
Missing (%)20.4%
Memory size1.2 KiB
2023-12-13T00:56:10.785779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.018349
Min length12

Characters and Unicode

Total characters1310
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

Unique94 ?
Unique (%)86.2%

Sample

1st row063-653-4240
2nd row063-652-1110
3rd row063-652-1900
4th row063-653-8849
5th row063-653-3429
ValueCountFrequency (%)
063-653-7437 3
 
2.8%
063-653-9592 2
 
1.8%
063-653-3429 2
 
1.8%
063-653-3382 2
 
1.8%
063-653-4240 2
 
1.8%
063-653-3997 2
 
1.8%
063-653-7736 2
 
1.8%
063-652-0817 1
 
0.9%
063-652-8289 1
 
0.9%
063-653-3195 1
 
0.9%
Other values (91) 91
83.5%
2023-12-13T00:56:11.306560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 257
19.6%
3 235
17.9%
- 218
16.6%
0 158
12.1%
5 147
11.2%
2 94
 
7.2%
7 49
 
3.7%
1 46
 
3.5%
9 38
 
2.9%
4 36
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1092
83.4%
Dash Punctuation 218
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 257
23.5%
3 235
21.5%
0 158
14.5%
5 147
13.5%
2 94
 
8.6%
7 49
 
4.5%
1 46
 
4.2%
9 38
 
3.5%
4 36
 
3.3%
8 32
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 218
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1310
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 257
19.6%
3 235
17.9%
- 218
16.6%
0 158
12.1%
5 147
11.2%
2 94
 
7.2%
7 49
 
3.7%
1 46
 
3.5%
9 38
 
2.9%
4 36
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1310
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 257
19.6%
3 235
17.9%
- 218
16.6%
0 158
12.1%
5 147
11.2%
2 94
 
7.2%
7 49
 
3.7%
1 46
 
3.5%
9 38
 
2.9%
4 36
 
2.7%

Missing values

2023-12-13T00:56:06.663182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:56:06.778947image/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

업소명허가(신고)일소재지(도로명)소재지전화
0궁중음식본가주식회사농업회사법인2008-03-11전라북도 순창군 동계면 장항길 13063-653-4240
1순창궁전전통식품1990-11-02전라북도 순창군 순창읍 장류로 329063-652-1110
2농업회사법인 한국절임 주식회사2012-04-30전라북도 순창군 순창읍 장류로 20-35063-652-1900
3목원 흑염소농장2017-11-21전라북도 순창군 풍산면 향가로 442-5063-653-8849
4만석군이기남고추장1997-11-21전라북도 순창군 순창읍 민속마을길 50-2063-653-3429
5농업회사법인 주식회사 강천민덕원2016-12-13전라북도 순창군 팔덕면 평창길 17-18<NA>
6주식회사 에스아이지2010-04-08전라북도 순창군 인계면 물통길 22-40063-652-6726
7순창전통민들레고추장1997-07-22전라북도 순창군 순창읍 민속마을길 5-18063-652-0817
8궁중음식본가1998-04-02전라북도 순창군 순창읍 민속마을길 56-4063-653-4240
9순창전통민속고추장1998-02-18전라북도 순창군 순창읍 민속마을길 56-1063-653-0277
업소명허가(신고)일소재지(도로명)소재지전화
127대상(주)1985-05-22전라북도 순창군 순창읍 순창로 30063-650-2314
128선진농업공동사업체2010-11-25전라북도 순창군 복흥면 덕흥길 50063-652-8060
129순창고추장마을영농조합법인2005-01-24전라북도 순창군 순창읍 민속마을길 22-14063-653-2597
130순창군농산물종합가공센터2018-10-02전라북도 순창군 유등면 담순로 1548 농업기술센터063-650-5162
131농업회사법인(주)참주가2019-11-18전라북도 순창군 순창읍 신남무수길 51-24063-652-1762
132(주)시아스 순창공장2013-12-16전라북도 순창군 풍산면 풍산농공길 36063-653-2013
133순창장본가전통식품3호점2013-01-22전라북도 순창군 순창읍 민속마을길 61-40063-653-7437
134순창발효#102021-03-30전라북도 순창군 순창읍 순창6길 36063-653-0636
135명인고추장1997-10-14전라북도 순창군 순창읍 민속마을길 22-1063-653-9955
136토당식품영농조합법인1998-07-07전라북도 순창군 풍산면 향가로 334-4063-652-7480