Overview

Dataset statistics

Number of variables5
Number of observations65
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory43.0 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description대전 중구에서 식품제조가공업소(식품을 제조가공생산하여 유통시킬수 있는 업종)로 등록한 업체명, 소재지, 전화번호, 가공식품종류에 관한 데이터 입니다.
URLhttps://www.data.go.kr/data/15120067/fileData.do

Alerts

업종 has constant value ""Constant
연번 has unique valuesUnique
업소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:47:14.656283
Analysis finished2023-12-12 02:47:15.374236
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33
Minimum1
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-12T11:47:15.474220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.2
Q117
median33
Q349
95-th percentile61.8
Maximum65
Range64
Interquartile range (IQR)32

Descriptive statistics

Standard deviation18.90767
Coefficient of variation (CV)0.57295971
Kurtosis-1.2
Mean33
Median Absolute Deviation (MAD)16
Skewness0
Sum2145
Variance357.5
MonotonicityStrictly increasing
2023-12-12T11:47:15.687529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
50 1
 
1.5%
36 1
 
1.5%
37 1
 
1.5%
38 1
 
1.5%
39 1
 
1.5%
40 1
 
1.5%
41 1
 
1.5%
42 1
 
1.5%
43 1
 
1.5%
Other values (55) 55
84.6%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%
58 1
1.5%
57 1
1.5%
56 1
1.5%

업소명
Text

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-12T11:47:16.023874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length14
Mean length6.4615385
Min length2

Characters and Unicode

Total characters420
Distinct characters170
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

Unique65 ?
Unique (%)100.0%

Sample

1st row대원정식품
2nd row그래인에프앤디
3rd row남일제과
4th row(주)충남연식품
5th row문창식품
ValueCountFrequency (%)
주식회사 2
 
2.7%
대원정식품 1
 
1.4%
돈우 1
 
1.4%
더프레쉬 1
 
1.4%
대전곤충산업협동조합 1
 
1.4%
진초원 1
 
1.4%
착한푸드 1
 
1.4%
리드원푸드 1
 
1.4%
두두담 1
 
1.4%
주)농업회사법인다소니푸드 1
 
1.4%
Other values (62) 62
84.9%
2023-12-12T11:47:16.810793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 22
 
5.2%
주 17
 
4.0%
드 16
 
3.8%
품 16
 
3.8%
) 13
 
3.1%
( 12
 
2.9%
푸 12
 
2.9%
사 11
 
2.6%
회 8
 
1.9%
8
 
1.9%
Other values (160) 285
67.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 386
91.9%
Close Punctuation 13
 
3.1%
Open Punctuation 12
 
2.9%
Space Separator 8
 
1.9%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 22
 
5.7%
주 17
 
4.4%
드 16
 
4.1%
품 16
 
4.1%
푸 12
 
3.1%
사 11
 
2.8%
회 8
 
2.1%
리 8
 
2.1%
스 8
 
2.1%
원 6
 
1.6%
Other values (156) 262
67.9%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 386
91.9%
Common 34
 
8.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 22
 
5.7%
주 17
 
4.4%
드 16
 
4.1%
품 16
 
4.1%
푸 12
 
3.1%
사 11
 
2.8%
회 8
 
2.1%
리 8
 
2.1%
스 8
 
2.1%
원 6
 
1.6%
Other values (156) 262
67.9%
Common
ValueCountFrequency (%)
) 13
38.2%
( 12
35.3%
8
23.5%
2 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 386
91.9%
ASCII 34
 
8.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 22
 
5.7%
주 17
 
4.4%
드 16
 
4.1%
품 16
 
4.1%
푸 12
 
3.1%
사 11
 
2.8%
회 8
 
2.1%
리 8
 
2.1%
스 8
 
2.1%
원 6
 
1.6%
Other values (156) 262
67.9%
ASCII
ValueCountFrequency (%)
) 13
38.2%
( 12
35.3%
8
23.5%
2 1
 
2.9%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
식품제조가공업
65 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품제조가공업 65
100.0%

Length

2023-12-12T11:47:16.987259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:47:17.097759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 65
100.0%

소재지(도로명)
Text

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-12T11:47:17.441729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length35
Mean length29.384615
Min length20

Characters and Unicode

Total characters1910
Distinct characters112
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)100.0%

Sample

1st row대전광역시 중구 범골로 52, 1층 (호동)
2nd row대전광역시 중구 대전천서로163번길 15 (석교동)
3rd row대전광역시 중구 대종로171번길 154, 1층 (호동)
4th row대전광역시 중구 오류로 119-15 (오류동)
5th row대전광역시 중구 문창로 14-15, 1~2층 (문창동)
ValueCountFrequency (%)
대전광역시 65
 
16.8%
중구 65
 
16.8%
1층 30
 
7.7%
안영동 10
 
2.6%
문화동 8
 
2.1%
호동 4
 
1.0%
유천동 4
 
1.0%
2층 4
 
1.0%
45 4
 
1.0%
산성동 4
 
1.0%
Other values (145) 190
49.0%
2023-12-12T11:47:17.996655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
323
 
16.9%
1 97
 
5.1%
대 86
 
4.5%
중 77
 
4.0%
) 70
 
3.7%
( 70
 
3.7%
전 69
 
3.6%
동 67
 
3.5%
시 65
 
3.4%
구 65
 
3.4%
Other values (102) 921
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1061
55.5%
Space Separator 323
 
16.9%
Decimal Number 311
 
16.3%
Close Punctuation 70
 
3.7%
Open Punctuation 70
 
3.7%
Other Punctuation 60
 
3.1%
Dash Punctuation 11
 
0.6%
Math Symbol 3
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 86
 
8.1%
중 77
 
7.3%
전 69
 
6.5%
동 67
 
6.3%
시 65
 
6.1%
구 65
 
6.1%
역 65
 
6.1%
로 65
 
6.1%
광 65
 
6.1%
층 50
 
4.7%
Other values (85) 387
36.5%
Decimal Number
ValueCountFrequency (%)
1 97
31.2%
2 42
13.5%
4 30
 
9.6%
3 27
 
8.7%
7 24
 
7.7%
5 24
 
7.7%
0 20
 
6.4%
8 16
 
5.1%
9 16
 
5.1%
6 15
 
4.8%
Space Separator
ValueCountFrequency (%)
323
100.0%
Close Punctuation
ValueCountFrequency (%)
) 70
100.0%
Open Punctuation
ValueCountFrequency (%)
( 70
100.0%
Other Punctuation
ValueCountFrequency (%)
, 60
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1061
55.5%
Common 848
44.4%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 86
 
8.1%
중 77
 
7.3%
전 69
 
6.5%
동 67
 
6.3%
시 65
 
6.1%
구 65
 
6.1%
역 65
 
6.1%
로 65
 
6.1%
광 65
 
6.1%
층 50
 
4.7%
Other values (85) 387
36.5%
Common
ValueCountFrequency (%)
323
38.1%
1 97
 
11.4%
) 70
 
8.3%
( 70
 
8.3%
, 60
 
7.1%
2 42
 
5.0%
4 30
 
3.5%
3 27
 
3.2%
7 24
 
2.8%
5 24
 
2.8%
Other values (6) 81
 
9.6%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1061
55.5%
ASCII 849
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
323
38.0%
1 97
 
11.4%
) 70
 
8.2%
( 70
 
8.2%
, 60
 
7.1%
2 42
 
4.9%
4 30
 
3.5%
3 27
 
3.2%
7 24
 
2.8%
5 24
 
2.8%
Other values (7) 82
 
9.7%
Hangul
ValueCountFrequency (%)
대 86
 
8.1%
중 77
 
7.3%
전 69
 
6.5%
동 67
 
6.3%
시 65
 
6.1%
구 65
 
6.1%
역 65
 
6.1%
로 65
 
6.1%
광 65
 
6.1%
층 50
 
4.7%
Other values (85) 387
36.5%

식품의종류
Text

Distinct42
Distinct (%)64.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-12T11:47:18.196725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length45
Mean length18.384615
Min length4

Characters and Unicode

Total characters1195
Distinct characters56
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)50.8%

Sample

1st row 과자류, 과자류, 과자류, 과자류, 과자류, 빵류 또는 떡류
2nd row 과자류, 과자류, 기타식품류, 과자류, 빵류 또는 떡류, 농산가공식품류
3rd row 과자류, 과자류, 빵류 또는 떡류
4th row 두부류또는묵류, 두부
5th row 빵또는떡류
ValueCountFrequency (%)
과자류 28
14.4%
조미식품 22
 
11.3%
또는 17
 
8.7%
떡류 13
 
6.7%
빵류 12
 
6.2%
농산가공식품류 11
 
5.6%
기타식품류 11
 
5.6%
규격외일반가공식품 8
 
4.1%
수산가공식품류 8
 
4.1%
즉석식품류 7
 
3.6%
Other values (26) 58
29.7%
2023-12-12T11:47:18.581487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
342
28.6%
류 135
 
11.3%
, 94
 
7.9%
식 77
 
6.4%
품 77
 
6.4%
가 33
 
2.8%
공 33
 
2.8%
과 29
 
2.4%
자 29
 
2.4%
는 28
 
2.3%
Other values (46) 318
26.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 759
63.5%
Space Separator 342
28.6%
Other Punctuation 94
 
7.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
류 135
17.8%
식 77
 
10.1%
품 77
 
10.1%
가 33
 
4.3%
공 33
 
4.3%
과 29
 
3.8%
자 29
 
3.8%
는 28
 
3.7%
또 28
 
3.7%
조 25
 
3.3%
Other values (44) 265
34.9%
Space Separator
ValueCountFrequency (%)
342
100.0%
Other Punctuation
ValueCountFrequency (%)
, 94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 759
63.5%
Common 436
36.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
류 135
17.8%
식 77
 
10.1%
품 77
 
10.1%
가 33
 
4.3%
공 33
 
4.3%
과 29
 
3.8%
자 29
 
3.8%
는 28
 
3.7%
또 28
 
3.7%
조 25
 
3.3%
Other values (44) 265
34.9%
Common
ValueCountFrequency (%)
342
78.4%
, 94
 
21.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 759
63.5%
ASCII 436
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
342
78.4%
, 94
 
21.6%
Hangul
ValueCountFrequency (%)
류 135
17.8%
식 77
 
10.1%
품 77
 
10.1%
가 33
 
4.3%
공 33
 
4.3%
과 29
 
3.8%
자 29
 
3.8%
는 28
 
3.7%
또 28
 
3.7%
조 25
 
3.3%
Other values (44) 265
34.9%

Interactions

2023-12-12T11:47:15.051460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:47:18.667336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명소재지(도로명)식품의종류
연번1.0001.0001.0000.813
업소명1.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.000
식품의종류0.8131.0001.0001.000

Missing values

2023-12-12T11:47:15.206936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:47:15.323198image/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

연번업소명업종소재지(도로명)식품의종류
01대원정식품식품제조가공업대전광역시 중구 범골로 52, 1층 (호동)과자류, 과자류, 과자류, 과자류, 과자류, 빵류 또는 떡류
12그래인에프앤디식품제조가공업대전광역시 중구 대전천서로163번길 15 (석교동)과자류, 과자류, 기타식품류, 과자류, 빵류 또는 떡류, 농산가공식품류
23남일제과식품제조가공업대전광역시 중구 대종로171번길 154, 1층 (호동)과자류, 과자류, 빵류 또는 떡류
34(주)충남연식품식품제조가공업대전광역시 중구 오류로 119-15 (오류동)두부류또는묵류, 두부
45문창식품식품제조가공업대전광역시 중구 문창로 14-15, 1~2층 (문창동)빵또는떡류
56엄마손식품식품제조가공업대전광역시 중구 성산로4번길 13-8, 1층 (안영동)절임식품
67황금식품식품제조가공업대전광역시 중구 대종로334번길 60, 1,2층 (문창동)과자류, 면류, 과자류, 빵류 또는 떡류
78로쏘(주)성심당식품제조가공업대전광역시 중구 중교로73번길 7, 지하1~지상4층 (은행동)과자류, 빵또는떡류, 빵또는떡류, 과자류, 과자, 빵또는떡류, 떡류, 조미식품, 기타식품류, 과자류, 빵류 또는 떡류
89경진식품(주)식품제조가공업대전광역시 중구 보문산로294번길 50-11, 2,3층 (문화동)어육가공품, 건포류, 어육가공품, 수산가공식품류
910삼성떡집식품제조가공업대전광역시 중구 계룡로 852, 상가동 208, 209호 (오류동, 삼성아파트)과자류, 빵류 또는 떡류, 농산가공식품류
연번업소명업종소재지(도로명)식품의종류
5556제이컴퍼니식품제조가공업대전광역시 중구 오류로 72, 1(일부)층 (오류동)식용유지류, 조미식품, 수산가공식품류
5657모두모두소스식품제조가공업대전광역시 중구 계백로 1569, 수련빌딩 2층 일부호 (유천동)조미식품
5758유천식품식품제조가공업대전광역시 중구 유천로17번길 45, 1층 (유천동, 소망빌라)절임류 또는 조림류, 농산가공식품류, 식육가공품 및 포장육, 수산가공식품류, 즉석식품류, 기타식품류
5859페어리스트리(대전사정공장)식품제조가공업대전광역시 중구 대둔산로300번길 8, 1(일부)층 (사정동)잼류, 음료류, 조미식품, 절임류 또는 조림류
5960선화동쭈꾸미식품제조가공업대전광역시 중구 선화서로43번길 8, 1층 (선화동, 성우주택)수산가공식품류
6061(주)인터뷰베이커리식품제조가공업대전광역시 중구 안영로6번길 31, 1층 (안영동)과자류, 빵류 또는 떡류
6162선영식품식품제조가공업대전광역시 중구 산성로 11, 1층 (산성동)수산가공식품류
6263이김식품제조가공업대전광역시 중구 성산로20번길 17, 1층 (안영동)수산가공식품류
6364(주)에스엔푸드시스템식품제조가공업대전광역시 중구 대둔산로200번길 23-5, 1층 (안영동)수산가공식품류
6465썬엠바이오식품제조가공업대전광역시 중구 계백로1566번길 80, 1층 (유천동)기타식품류