Overview

Dataset statistics

Number of variables6
Number of observations55
Missing cells24
Missing cells (%)7.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory51.4 B

Variable types

Numeric1
Text3
Categorical1
DateTime1

Dataset

Description인천광역시 남동구에 위치한 축산물 유통 전문 판매업 현황에 대한 데이터로 연번, 축산물유통전문판매업소명, 소재지, 전화번호, 관할구, 데이터기준일자 항목을 제공합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15090753&srcSe=7661IVAWM27C61E190

Alerts

관할구 has constant value ""Constant
전화번호 has 24 (43.6%) missing valuesMissing
연번 has unique valuesUnique
축산물유통전문판매업소명 has unique valuesUnique

Reproduction

Analysis started2024-01-28 09:57:27.101802
Analysis finished2024-01-28 09:57:27.573984
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28
Minimum1
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-01-28T18:57:27.640511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.7
Q114.5
median28
Q341.5
95-th percentile52.3
Maximum55
Range54
Interquartile range (IQR)27

Descriptive statistics

Standard deviation16.02082
Coefficient of variation (CV)0.57217214
Kurtosis-1.2
Mean28
Median Absolute Deviation (MAD)14
Skewness0
Sum1540
Variance256.66667
MonotonicityStrictly increasing
2024-01-28T18:57:27.748957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.8%
2 1
 
1.8%
31 1
 
1.8%
32 1
 
1.8%
33 1
 
1.8%
34 1
 
1.8%
35 1
 
1.8%
36 1
 
1.8%
37 1
 
1.8%
38 1
 
1.8%
Other values (45) 45
81.8%
ValueCountFrequency (%)
1 1
1.8%
2 1
1.8%
3 1
1.8%
4 1
1.8%
5 1
1.8%
6 1
1.8%
7 1
1.8%
8 1
1.8%
9 1
1.8%
10 1
1.8%
ValueCountFrequency (%)
55 1
1.8%
54 1
1.8%
53 1
1.8%
52 1
1.8%
51 1
1.8%
50 1
1.8%
49 1
1.8%
48 1
1.8%
47 1
1.8%
46 1
1.8%

축산물유통전문판매업소명
Text

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-01-28T18:57:27.912498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length7.7818182
Min length2

Characters and Unicode

Total characters428
Distinct characters140
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

Unique55 ?
Unique (%)100.0%

Sample

1st row천일식품(주)
2nd row(주)진진에프씨
3rd row하나유통
4th row(주)대대에프씨
5th row주식회사 디딤이앤에프
ValueCountFrequency (%)
주식회사 13
 
18.6%
천일식품(주 1
 
1.4%
구월오리 1
 
1.4%
디센블 1
 
1.4%
주)조은에프에스 1
 
1.4%
농업회사법인 1
 
1.4%
더좋은닭 1
 
1.4%
파르마코리아 1
 
1.4%
푸드리나(foodrina 1
 
1.4%
주)미래로푸드 1
 
1.4%
Other values (48) 48
68.6%
2024-01-28T18:57:28.187258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 40
 
9.3%
( 28
 
6.5%
) 28
 
6.5%
드 16
 
3.7%
사 16
 
3.7%
푸 16
 
3.7%
식 15
 
3.5%
회 15
 
3.5%
15
 
3.5%
에 13
 
3.0%
Other values (130) 226
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 347
81.1%
Open Punctuation 28
 
6.5%
Close Punctuation 28
 
6.5%
Space Separator 15
 
3.5%
Uppercase Letter 9
 
2.1%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 40
 
11.5%
드 16
 
4.6%
사 16
 
4.6%
푸 16
 
4.6%
식 15
 
4.3%
회 15
 
4.3%
에 13
 
3.7%
프 9
 
2.6%
스 8
 
2.3%
이 7
 
2.0%
Other values (118) 192
55.3%
Uppercase Letter
ValueCountFrequency (%)
O 2
22.2%
A 1
11.1%
I 1
11.1%
N 1
11.1%
R 1
11.1%
G 1
11.1%
D 1
11.1%
F 1
11.1%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 347
81.1%
Common 72
 
16.8%
Latin 9
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 40
 
11.5%
드 16
 
4.6%
사 16
 
4.6%
푸 16
 
4.6%
식 15
 
4.3%
회 15
 
4.3%
에 13
 
3.7%
프 9
 
2.6%
스 8
 
2.3%
이 7
 
2.0%
Other values (118) 192
55.3%
Latin
ValueCountFrequency (%)
O 2
22.2%
A 1
11.1%
I 1
11.1%
N 1
11.1%
R 1
11.1%
G 1
11.1%
D 1
11.1%
F 1
11.1%
Common
ValueCountFrequency (%)
( 28
38.9%
) 28
38.9%
15
20.8%
1 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 347
81.1%
ASCII 81
 
18.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 40
 
11.5%
드 16
 
4.6%
사 16
 
4.6%
푸 16
 
4.6%
식 15
 
4.3%
회 15
 
4.3%
에 13
 
3.7%
프 9
 
2.6%
스 8
 
2.3%
이 7
 
2.0%
Other values (118) 192
55.3%
ASCII
ValueCountFrequency (%)
( 28
34.6%
) 28
34.6%
15
18.5%
O 2
 
2.5%
A 1
 
1.2%
I 1
 
1.2%
N 1
 
1.2%
R 1
 
1.2%
1 1
 
1.2%
G 1
 
1.2%
Other values (2) 2
 
2.5%

소재지
Text

Distinct54
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-01-28T18:57:28.421298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length35
Mean length30.145455
Min length23

Characters and Unicode

Total characters1658
Distinct characters98
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

Unique53 ?
Unique (%)96.4%

Sample

1st row인천광역시 남동구 앵고개로 426 (고잔동)
2nd row인천광역시 남동구 장승남로81번길 50 (만수동)
3rd row인천광역시 남동구 구월말로58번길 58, 우측호 (만수동,1층)
4th row인천광역시 남동구 앵고개로 547 (고잔동)
5th row인천광역시 남동구 논현로46번길 39-24 (논현동, 2층)
ValueCountFrequency (%)
인천광역시 55
 
17.4%
남동구 55
 
17.4%
고잔동 20
 
6.3%
구월동 13
 
4.1%
서창동 5
 
1.6%
논현동 5
 
1.6%
3층 5
 
1.6%
4층 5
 
1.6%
2층 4
 
1.3%
앵고개로 4
 
1.3%
Other values (126) 145
45.9%
2024-01-28T18:57:28.766427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
261
 
15.7%
동 120
 
7.2%
구 72
 
4.3%
남 63
 
3.8%
인 58
 
3.5%
로 56
 
3.4%
천 56
 
3.4%
광 55
 
3.3%
역 55
 
3.3%
시 55
 
3.3%
Other values (88) 807
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 946
57.1%
Decimal Number 290
 
17.5%
Space Separator 261
 
15.7%
Close Punctuation 55
 
3.3%
Open Punctuation 55
 
3.3%
Other Punctuation 32
 
1.9%
Dash Punctuation 14
 
0.8%
Uppercase Letter 4
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 120
 
12.7%
구 72
 
7.6%
남 63
 
6.7%
인 58
 
6.1%
로 56
 
5.9%
천 56
 
5.9%
광 55
 
5.8%
역 55
 
5.8%
시 55
 
5.8%
고 34
 
3.6%
Other values (69) 322
34.0%
Decimal Number
ValueCountFrequency (%)
1 49
16.9%
5 37
12.8%
4 36
12.4%
3 35
12.1%
2 32
11.0%
0 30
10.3%
8 19
 
6.6%
6 19
 
6.6%
9 18
 
6.2%
7 15
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
A 2
50.0%
D 1
25.0%
B 1
25.0%
Space Separator
ValueCountFrequency (%)
261
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Other Punctuation
ValueCountFrequency (%)
, 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 946
57.1%
Common 708
42.7%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 120
 
12.7%
구 72
 
7.6%
남 63
 
6.7%
인 58
 
6.1%
로 56
 
5.9%
천 56
 
5.9%
광 55
 
5.8%
역 55
 
5.8%
시 55
 
5.8%
고 34
 
3.6%
Other values (69) 322
34.0%
Common
ValueCountFrequency (%)
261
36.9%
) 55
 
7.8%
( 55
 
7.8%
1 49
 
6.9%
5 37
 
5.2%
4 36
 
5.1%
3 35
 
4.9%
2 32
 
4.5%
, 32
 
4.5%
0 30
 
4.2%
Other values (6) 86
 
12.1%
Latin
ValueCountFrequency (%)
A 2
50.0%
D 1
25.0%
B 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 946
57.1%
ASCII 712
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
261
36.7%
) 55
 
7.7%
( 55
 
7.7%
1 49
 
6.9%
5 37
 
5.2%
4 36
 
5.1%
3 35
 
4.9%
2 32
 
4.5%
, 32
 
4.5%
0 30
 
4.2%
Other values (9) 90
 
12.6%
Hangul
ValueCountFrequency (%)
동 120
 
12.7%
구 72
 
7.6%
남 63
 
6.7%
인 58
 
6.1%
로 56
 
5.9%
천 56
 
5.9%
광 55
 
5.8%
역 55
 
5.8%
시 55
 
5.8%
고 34
 
3.6%
Other values (69) 322
34.0%

전화번호
Text

MISSING 

Distinct31
Distinct (%)100.0%
Missing24
Missing (%)43.6%
Memory size572.0 B
2024-01-28T18:57:28.965024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.935484
Min length9

Characters and Unicode

Total characters370
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 row032-812-9700
2nd row032-466-1882
3rd row032-822-9248
4th row032-819-6870
5th row032-822-9240
ValueCountFrequency (%)
032-812-9700 1
 
3.2%
032-421-8606 1
 
3.2%
032-822-8513 1
 
3.2%
032-822-8874 1
 
3.2%
070-4632-3512 1
 
3.2%
070-4554-6094 1
 
3.2%
032-719-7783 1
 
3.2%
032-435-9293 1
 
3.2%
032-201-3691 1
 
3.2%
032-463-1025 1
 
3.2%
Other values (21) 21
67.7%
2024-01-28T18:57:29.250393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 60
16.2%
2 55
14.9%
0 50
13.5%
3 43
11.6%
8 36
9.7%
1 29
7.8%
7 26
7.0%
4 22
 
5.9%
6 18
 
4.9%
5 17
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 310
83.8%
Dash Punctuation 60
 
16.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 55
17.7%
0 50
16.1%
3 43
13.9%
8 36
11.6%
1 29
9.4%
7 26
8.4%
4 22
 
7.1%
6 18
 
5.8%
5 17
 
5.5%
9 14
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 370
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 60
16.2%
2 55
14.9%
0 50
13.5%
3 43
11.6%
8 36
9.7%
1 29
7.8%
7 26
7.0%
4 22
 
5.9%
6 18
 
4.9%
5 17
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 370
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 60
16.2%
2 55
14.9%
0 50
13.5%
3 43
11.6%
8 36
9.7%
1 29
7.8%
7 26
7.0%
4 22
 
5.9%
6 18
 
4.9%
5 17
 
4.6%

관할구
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
남동구
55 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남동구 55
100.0%

Length

2024-01-28T18:57:29.356195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T18:57:29.437196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남동구 55
100.0%

데이터기준일자
Date

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum2023-09-07 00:00:00
Maximum2023-09-11 00:00:00
2024-01-28T18:57:29.501575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:57:29.579782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

Interactions

2024-01-28T18:57:27.365138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T18:57:29.646086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번축산물유통전문판매업소명소재지전화번호데이터기준일자
연번1.0001.0001.0001.0000.000
축산물유통전문판매업소명1.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.000NaN
데이터기준일자0.0001.0001.000NaN1.000

Missing values

2024-01-28T18:57:27.446791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T18:57:27.533143image/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

연번축산물유통전문판매업소명소재지전화번호관할구데이터기준일자
01천일식품(주)인천광역시 남동구 앵고개로 426 (고잔동)032-812-9700남동구2023-09-11
12(주)진진에프씨인천광역시 남동구 장승남로81번길 50 (만수동)032-466-1882남동구2023-09-11
23하나유통인천광역시 남동구 구월말로58번길 58, 우측호 (만수동,1층)<NA>남동구2023-09-11
34(주)대대에프씨인천광역시 남동구 앵고개로 547 (고잔동)032-822-9248남동구2023-09-11
45주식회사 디딤이앤에프인천광역시 남동구 논현로46번길 39-24 (논현동, 2층)032-819-6870남동구2023-09-11
56(주)대대푸드원인천광역시 남동구 앵고개로 547 (고잔동)032-822-9240남동구2023-09-11
67(주)착한미트인천광역시 남동구 앵고개로815번길 81-10 (고잔동)032-437-5633남동구2023-09-11
78농업회사법인육화원(주)인천광역시 남동구 논현고잔로128번길 68-19 (고잔동)032-441-8801남동구2023-09-11
89동윤에프앤비인천광역시 남동구 논현고잔로 182 (고잔동)032-421-7284남동구2023-09-11
910제이앤에스인천광역시 남동구 구월남로 123, 4층 (구월동)<NA>남동구2023-09-11
연번축산물유통전문판매업소명소재지전화번호관할구데이터기준일자
4546대단한에프앤비인천광역시 남동구 서창방산로 55, 304~306호 (서창동)032-719-7783남동구2023-09-11
4647일등인천광역시 남동구 서창방산로 55, 509호 (서창동)<NA>남동구2023-09-11
4748플랜엘팜스인천광역시 남동구 장아산로 134-3, 3층 302호 (서창동)<NA>남동구2023-09-11
4849(주)정정당당인천광역시 남동구 은봉로 51, 남동테크노파크 A동 (논현동)<NA>남동구2023-09-11
4950주식회사 잇다컴퍼니인천광역시 남동구 성리로 12, 탑프라자 3층 (구월동)070-4554-6094남동구2023-09-11
5051주식회사 쿤컴퍼니인천광역시 남동구 성리로 12, 탑프라자 2층 (구월동)070-4632-3512남동구2023-09-11
5152주식회사 부자유통인천광역시 남동구 고잔로41번길 29-5(고잔동)032-822-8874남동구2023-09-11
5253(주)한경어게인인천광역시 남동구 선수촌공원로 33, 로데오프라자 403호 (구월동)1661-7798남동구2023-09-11
5354엄마굴비인천광역시 남동구 서창방산로 51, 201호 (서창동)<NA>남동구2023-09-11
5455페퍼피그 주식회사인천광역시 남동구 선수촌공원로23번길 6-29, 402호 (구월동)<NA>남동구2023-09-07