Overview

Dataset statistics

Number of variables7
Number of observations50
Missing cells19
Missing cells (%)5.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory59.6 B

Variable types

Numeric1
Text3
Categorical3

Dataset

Description인천광역시 서구 식품제조가공업(수산물가공품)에 대한 데이터로 업소명, 소재지, 업종, 식품유형 등의 정보가 포함되어 있습니다.
Author인천광역시 서구
URLhttps://www.data.go.kr/data/15090780/fileData.do

Alerts

업종 has constant value ""Constant
식품유형 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 has 19 (38.0%) missing valuesMissing
연번 has unique valuesUnique
업소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:03:18.890037
Analysis finished2023-12-12 13:03:19.391648
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.5
Minimum1
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T22:03:19.455644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.45
Q113.25
median25.5
Q337.75
95-th percentile47.55
Maximum50
Range49
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation14.57738
Coefficient of variation (CV)0.57166195
Kurtosis-1.2
Mean25.5
Median Absolute Deviation (MAD)12.5
Skewness0
Sum1275
Variance212.5
MonotonicityStrictly increasing
2023-12-12T22:03:19.622079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
39 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
36 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
50 1
2.0%
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%

업소명
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-12T22:03:19.877283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length7.18
Min length2

Characters and Unicode

Total characters359
Distinct characters119
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

Unique50 ?
Unique (%)100.0%

Sample

1st row대인에프앤씨 주식회사
2nd row삼우종합식품
3rd row농부마을
4th row(주)미트뱅크
5th row(주)우리찬
ValueCountFrequency (%)
주식회사 3
 
5.1%
주)식탁이 1
 
1.7%
주)미라지식품 1
 
1.7%
인천지점 1
 
1.7%
에이비씨푸드 1
 
1.7%
다해에프앤비 1
 
1.7%
주)엠엔디 1
 
1.7%
컴퍼니 1
 
1.7%
주)거성씨푸드 1
 
1.7%
주)야마끼코리아 1
 
1.7%
Other values (47) 47
79.7%
2023-12-12T22:03:20.272295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 27
 
7.5%
( 26
 
7.2%
) 26
 
7.2%
드 17
 
4.7%
푸 16
 
4.5%
씨 12
 
3.3%
식 12
 
3.3%
에 10
 
2.8%
9
 
2.5%
품 7
 
1.9%
Other values (109) 197
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 291
81.1%
Open Punctuation 26
 
7.2%
Close Punctuation 26
 
7.2%
Space Separator 9
 
2.5%
Uppercase Letter 6
 
1.7%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 27
 
9.3%
드 17
 
5.8%
푸 16
 
5.5%
씨 12
 
4.1%
식 12
 
4.1%
에 10
 
3.4%
품 7
 
2.4%
이 7
 
2.4%
사 6
 
2.1%
프 6
 
2.1%
Other values (100) 171
58.8%
Uppercase Letter
ValueCountFrequency (%)
F 2
33.3%
D 1
16.7%
J 1
16.7%
S 1
16.7%
C 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 291
81.1%
Common 62
 
17.3%
Latin 6
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 27
 
9.3%
드 17
 
5.8%
푸 16
 
5.5%
씨 12
 
4.1%
식 12
 
4.1%
에 10
 
3.4%
품 7
 
2.4%
이 7
 
2.4%
사 6
 
2.1%
프 6
 
2.1%
Other values (100) 171
58.8%
Latin
ValueCountFrequency (%)
F 2
33.3%
D 1
16.7%
J 1
16.7%
S 1
16.7%
C 1
16.7%
Common
ValueCountFrequency (%)
( 26
41.9%
) 26
41.9%
9
 
14.5%
& 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 291
81.1%
ASCII 68
 
18.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 27
 
9.3%
드 17
 
5.8%
푸 16
 
5.5%
씨 12
 
4.1%
식 12
 
4.1%
에 10
 
3.4%
품 7
 
2.4%
이 7
 
2.4%
사 6
 
2.1%
프 6
 
2.1%
Other values (100) 171
58.8%
ASCII
ValueCountFrequency (%)
( 26
38.2%
) 26
38.2%
9
 
13.2%
F 2
 
2.9%
D 1
 
1.5%
J 1
 
1.5%
S 1
 
1.5%
C 1
 
1.5%
& 1
 
1.5%

소재지(도로명)
Text

Distinct48
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-12T22:03:20.614569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length42
Mean length32.9
Min length25

Characters and Unicode

Total characters1645
Distinct characters108
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)92.0%

Sample

1st row인천광역시 서구 소담2로 14, 1층, 2층일부(I-FOOD Park 산업단지내) (금곡동)
2nd row인천광역시 서구 가정로151번길 21-1 (가좌동)
3rd row인천광역시 서구 검단로 119 (오류동, 1층일부)
4th row인천광역시 서구 단봉로36번길 23 (오류동)
5th row인천광역시 서구 보도진로42번길 10, 1~2층 (가좌동)
ValueCountFrequency (%)
인천광역시 50
 
15.0%
서구 50
 
15.0%
가좌동 16
 
4.8%
1층 10
 
3.0%
금곡동 10
 
3.0%
2층 9
 
2.7%
오류동 8
 
2.4%
석남동 7
 
2.1%
1층일부 5
 
1.5%
park 4
 
1.2%
Other values (111) 165
49.4%
2023-12-12T22:03:21.056420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
284
 
17.3%
1 72
 
4.4%
동 58
 
3.5%
) 56
 
3.4%
( 56
 
3.4%
2 55
 
3.3%
, 54
 
3.3%
천 50
 
3.0%
인 50
 
3.0%
구 50
 
3.0%
Other values (98) 860
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 870
52.9%
Space Separator 284
 
17.3%
Decimal Number 266
 
16.2%
Close Punctuation 56
 
3.4%
Open Punctuation 56
 
3.4%
Other Punctuation 55
 
3.3%
Uppercase Letter 28
 
1.7%
Dash Punctuation 15
 
0.9%
Lowercase Letter 12
 
0.7%
Math Symbol 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 58
 
6.7%
천 50
 
5.7%
인 50
 
5.7%
구 50
 
5.7%
서 50
 
5.7%
시 50
 
5.7%
역 50
 
5.7%
광 50
 
5.7%
로 50
 
5.7%
층 38
 
4.4%
Other values (70) 374
43.0%
Decimal Number
ValueCountFrequency (%)
1 72
27.1%
2 55
20.7%
3 35
13.2%
0 21
 
7.9%
5 19
 
7.1%
6 17
 
6.4%
9 15
 
5.6%
4 14
 
5.3%
8 12
 
4.5%
7 6
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
O 8
28.6%
I 4
14.3%
F 4
14.3%
D 4
14.3%
P 4
14.3%
A 2
 
7.1%
B 1
 
3.6%
C 1
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
a 4
33.3%
r 4
33.3%
k 4
33.3%
Other Punctuation
ValueCountFrequency (%)
, 54
98.2%
. 1
 
1.8%
Space Separator
ValueCountFrequency (%)
284
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 870
52.9%
Common 735
44.7%
Latin 40
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 58
 
6.7%
천 50
 
5.7%
인 50
 
5.7%
구 50
 
5.7%
서 50
 
5.7%
시 50
 
5.7%
역 50
 
5.7%
광 50
 
5.7%
로 50
 
5.7%
층 38
 
4.4%
Other values (70) 374
43.0%
Common
ValueCountFrequency (%)
284
38.6%
1 72
 
9.8%
) 56
 
7.6%
( 56
 
7.6%
2 55
 
7.5%
, 54
 
7.3%
3 35
 
4.8%
0 21
 
2.9%
5 19
 
2.6%
6 17
 
2.3%
Other values (7) 66
 
9.0%
Latin
ValueCountFrequency (%)
O 8
20.0%
I 4
10.0%
F 4
10.0%
D 4
10.0%
P 4
10.0%
a 4
10.0%
r 4
10.0%
k 4
10.0%
A 2
 
5.0%
B 1
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 870
52.9%
ASCII 775
47.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
284
36.6%
1 72
 
9.3%
) 56
 
7.2%
( 56
 
7.2%
2 55
 
7.1%
, 54
 
7.0%
3 35
 
4.5%
0 21
 
2.7%
5 19
 
2.5%
6 17
 
2.2%
Other values (18) 106
 
13.7%
Hangul
ValueCountFrequency (%)
동 58
 
6.7%
천 50
 
5.7%
인 50
 
5.7%
구 50
 
5.7%
서 50
 
5.7%
시 50
 
5.7%
역 50
 
5.7%
광 50
 
5.7%
로 50
 
5.7%
층 38
 
4.4%
Other values (70) 374
43.0%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
식품제조가공업
50 

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 50
100.0%

Length

2023-12-12T22:03:21.209127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:03:21.310008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 50
100.0%

식품유형
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
기타 수산물가공품
50 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타 수산물가공품
2nd row기타 수산물가공품
3rd row기타 수산물가공품
4th row기타 수산물가공품
5th row기타 수산물가공품

Common Values

ValueCountFrequency (%)
기타 수산물가공품 50
100.0%

Length

2023-12-12T22:03:21.434143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:03:21.543398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 50
50.0%
수산물가공품 50
50.0%

전화번호
Text

MISSING 

Distinct31
Distinct (%)100.0%
Missing19
Missing (%)38.0%
Memory size532.0 B
2023-12-12T22:03:21.760693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12
Min length11

Characters and Unicode

Total characters372
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

Unique31 ?
Unique (%)100.0%

Sample

1st row032-503-7611
2nd row032-577-2129
3rd row032-568-1240
4th row032-561-5269
5th row032-583-2300
ValueCountFrequency (%)
032-503-7611 1
 
3.2%
032-583-8311 1
 
3.2%
032-584-4567 1
 
3.2%
032-461-1294 1
 
3.2%
032-572-5222 1
 
3.2%
02-332-6150 1
 
3.2%
031-983-0957 1
 
3.2%
031-388-5738 1
 
3.2%
02-572-7770 1
 
3.2%
032-277-7790 1
 
3.2%
Other values (21) 21
67.7%
2023-12-12T22:03:22.238778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 62
16.7%
0 54
14.5%
2 49
13.2%
3 48
12.9%
5 37
9.9%
7 33
8.9%
1 23
 
6.2%
8 23
 
6.2%
6 21
 
5.6%
9 15
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 310
83.3%
Dash Punctuation 62
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 54
17.4%
2 49
15.8%
3 48
15.5%
5 37
11.9%
7 33
10.6%
1 23
7.4%
8 23
7.4%
6 21
 
6.8%
9 15
 
4.8%
4 7
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 372
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 62
16.7%
0 54
14.5%
2 49
13.2%
3 48
12.9%
5 37
9.9%
7 33
8.9%
1 23
 
6.2%
8 23
 
6.2%
6 21
 
5.6%
9 15
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 372
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 62
16.7%
0 54
14.5%
2 49
13.2%
3 48
12.9%
5 37
9.9%
7 33
8.9%
1 23
 
6.2%
8 23
 
6.2%
6 21
 
5.6%
9 15
 
4.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2022-09-06
50 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-06
2nd row2022-09-06
3rd row2022-09-06
4th row2022-09-06
5th row2022-09-06

Common Values

ValueCountFrequency (%)
2022-09-06 50
100.0%

Length

2023-12-12T22:03:22.387663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:03:22.485559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-06 50
100.0%

Interactions

2023-12-12T22:03:19.128812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:03:22.553527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명소재지(도로명)전화번호
연번1.0001.0001.0001.000
업소명1.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2023-12-12T22:03:19.239784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:03:19.345509image/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

연번업소명소재지(도로명)업종식품유형전화번호데이터기준일자
01대인에프앤씨 주식회사인천광역시 서구 소담2로 14, 1층, 2층일부(I-FOOD Park 산업단지내) (금곡동)식품제조가공업기타 수산물가공품032-503-76112022-09-06
12삼우종합식품인천광역시 서구 가정로151번길 21-1 (가좌동)식품제조가공업기타 수산물가공품032-577-21292022-09-06
23농부마을인천광역시 서구 검단로 119 (오류동, 1층일부)식품제조가공업기타 수산물가공품032-568-12402022-09-06
34(주)미트뱅크인천광역시 서구 단봉로36번길 23 (오류동)식품제조가공업기타 수산물가공품032-561-52692022-09-06
45(주)우리찬인천광역시 서구 보도진로42번길 10, 1~2층 (가좌동)식품제조가공업기타 수산물가공품032-583-23002022-09-06
56(주)한아담식품인천광역시 서구 검단로93번길 27 (오류동, 한솔제과1동 )식품제조가공업기타 수산물가공품032-569-58572022-09-06
67(주)선봉식품인천광역시 서구 검단로93번길 31 (오류동)식품제조가공업기타 수산물가공품032-581-81002022-09-06
78남양인천광역시 서구 원창로64번길 16, 2, 3층 (원창동)식품제조가공업기타 수산물가공품032-579-83802022-09-06
89(주)대흥푸드인천광역시 서구 검단로93번길 9 (오류동, (주)대흥푸드)식품제조가공업기타 수산물가공품032-715-57852022-09-06
910(주)혜진수산인천광역시 서구 소담2로 36, I-FOOD Park 산업단지내 1동 1층 (금곡동)식품제조가공업기타 수산물가공품032-556-34562022-09-06
연번업소명소재지(도로명)업종식품유형전화번호데이터기준일자
4041동호유통인천광역시 서구 건지로 120-10, 2층 B호 (가좌동)식품제조가공업기타 수산물가공품<NA>2022-09-06
4142이석푸드인천광역시 서구 건지로 120-10, 2층 C호 (가좌동)식품제조가공업기타 수산물가공품<NA>2022-09-06
4243다온인천광역시 서구 백범로934번길 30-12, 2층 일부호 (가좌동)식품제조가공업기타 수산물가공품<NA>2022-09-06
4344정운에프에스(FS)인천광역시 서구 봉수대로182번길 15, 2층 (가좌동)식품제조가공업기타 수산물가공품<NA>2022-09-06
4445현대식품인천광역시 서구 가현산로 196-1 (대곡동)식품제조가공업기타 수산물가공품<NA>2022-09-06
4546푸드존인천광역시 서구 봉수대로182번길 15, 2층 일부호 (가좌동)식품제조가공업기타 수산물가공품<NA>2022-09-06
4647육라운드인천광역시 서구 검암로9번길 20-15, 1층일부 (검암동)식품제조가공업기타 수산물가공품<NA>2022-09-06
4748신승에프에스인천광역시 서구 봉수대로161번길 28, 2층 (가좌동)식품제조가공업기타 수산물가공품<NA>2022-09-06
4849(주)미라지식품 인천지점인천광역시 서구 소담로 62, 1~3층(I-FOOD Park 산업단지내) (금곡동)식품제조가공업기타 수산물가공품032-461-12942022-09-06
4950우영수산(주)인천공장인천광역시 서구 소담1로 49, 아이푸드파크 내 (금곡동)식품제조가공업기타 수산물가공품032-710-91812022-09-06