Overview

Dataset statistics

Number of variables6
Number of observations37
Missing cells16
Missing cells (%)7.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory52.6 B

Variable types

Numeric1
Text4
DateTime1

Dataset

Description울산광역시 중구 관할구역 내 소재한 식품가공제조업의 업소명 및 소재지주소, 전화번호, 식품유형, 데이터 기준일 등의 현황
URLhttps://www.data.go.kr/data/15028154/fileData.do

Alerts

데이터기준일 has constant value ""Constant
전화번호 has 15 (40.5%) missing valuesMissing
식품의유형 has 1 (2.7%) missing valuesMissing
번호 has unique valuesUnique
업소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-11 22:55:44.865275
Analysis finished2023-12-11 22:55:45.433235
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19
Minimum1
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T07:55:45.486001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.8
Q110
median19
Q328
95-th percentile35.2
Maximum37
Range36
Interquartile range (IQR)18

Descriptive statistics

Standard deviation10.824355
Coefficient of variation (CV)0.56970291
Kurtosis-1.2
Mean19
Median Absolute Deviation (MAD)9
Skewness0
Sum703
Variance117.16667
MonotonicityStrictly increasing
2023-12-12T07:55:45.590413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
1 1
 
2.7%
29 1
 
2.7%
22 1
 
2.7%
23 1
 
2.7%
24 1
 
2.7%
25 1
 
2.7%
26 1
 
2.7%
27 1
 
2.7%
28 1
 
2.7%
30 1
 
2.7%
Other values (27) 27
73.0%
ValueCountFrequency (%)
1 1
2.7%
2 1
2.7%
3 1
2.7%
4 1
2.7%
5 1
2.7%
6 1
2.7%
7 1
2.7%
8 1
2.7%
9 1
2.7%
10 1
2.7%
ValueCountFrequency (%)
37 1
2.7%
36 1
2.7%
35 1
2.7%
34 1
2.7%
33 1
2.7%
32 1
2.7%
31 1
2.7%
30 1
2.7%
29 1
2.7%
28 1
2.7%

업소명
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T07:55:45.858510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length6.972973
Min length3

Characters and Unicode

Total characters258
Distinct characters135
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

Unique37 ?
Unique (%)100.0%

Sample

1st row부산식품부산어묵
2nd row갈매기식품
3rd row복된두부
4th row(주)태능푸드시스템
5th row한양식품
ValueCountFrequency (%)
roasters 2
 
4.9%
부산식품부산어묵 1
 
2.4%
주)모손푸드 1
 
2.4%
메타포션 1
 
2.4%
대박농산 1
 
2.4%
나온상회 1
 
2.4%
다비커피로스터스 1
 
2.4%
라뽈리스로스터스 1
 
2.4%
예담식품 1
 
2.4%
난다식품 1
 
2.4%
Other values (30) 30
73.2%
2023-12-12T07:55:46.173584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 12
 
4.7%
식 11
 
4.3%
품 11
 
4.3%
( 7
 
2.7%
) 7
 
2.7%
산 6
 
2.3%
피 5
 
1.9%
로 5
 
1.9%
다 5
 
1.9%
프 5
 
1.9%
Other values (125) 184
71.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 201
77.9%
Lowercase Letter 20
 
7.8%
Uppercase Letter 19
 
7.4%
Open Punctuation 7
 
2.7%
Close Punctuation 7
 
2.7%
Space Separator 4
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 12
 
6.0%
식 11
 
5.5%
품 11
 
5.5%
산 6
 
3.0%
피 5
 
2.5%
로 5
 
2.5%
다 5
 
2.5%
프 5
 
2.5%
부 5
 
2.5%
터 4
 
2.0%
Other values (96) 132
65.7%
Uppercase Letter
ValueCountFrequency (%)
R 3
15.8%
F 2
10.5%
O 2
10.5%
S 2
10.5%
D 1
 
5.3%
L 1
 
5.3%
N 1
 
5.3%
C 1
 
5.3%
U 1
 
5.3%
G 1
 
5.3%
Other values (4) 4
21.1%
Lowercase Letter
ValueCountFrequency (%)
i 3
15.0%
e 3
15.0%
r 3
15.0%
a 2
10.0%
s 2
10.0%
c 1
 
5.0%
l 1
 
5.0%
t 1
 
5.0%
u 1
 
5.0%
m 1
 
5.0%
Other values (2) 2
10.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 201
77.9%
Latin 39
 
15.1%
Common 18
 
7.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 12
 
6.0%
식 11
 
5.5%
품 11
 
5.5%
산 6
 
3.0%
피 5
 
2.5%
로 5
 
2.5%
다 5
 
2.5%
프 5
 
2.5%
부 5
 
2.5%
터 4
 
2.0%
Other values (96) 132
65.7%
Latin
ValueCountFrequency (%)
i 3
 
7.7%
e 3
 
7.7%
r 3
 
7.7%
R 3
 
7.7%
a 2
 
5.1%
F 2
 
5.1%
O 2
 
5.1%
S 2
 
5.1%
s 2
 
5.1%
c 1
 
2.6%
Other values (16) 16
41.0%
Common
ValueCountFrequency (%)
( 7
38.9%
) 7
38.9%
4
22.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 201
77.9%
ASCII 57
 
22.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 12
 
6.0%
식 11
 
5.5%
품 11
 
5.5%
산 6
 
3.0%
피 5
 
2.5%
로 5
 
2.5%
다 5
 
2.5%
프 5
 
2.5%
부 5
 
2.5%
터 4
 
2.0%
Other values (96) 132
65.7%
ASCII
ValueCountFrequency (%)
( 7
 
12.3%
) 7
 
12.3%
4
 
7.0%
i 3
 
5.3%
e 3
 
5.3%
r 3
 
5.3%
R 3
 
5.3%
a 2
 
3.5%
F 2
 
3.5%
O 2
 
3.5%
Other values (19) 21
36.8%

소재지(도로명)
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T07:55:46.430925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length30
Mean length26.405405
Min length21

Characters and Unicode

Total characters977
Distinct characters78
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)100.0%

Sample

1st row울산광역시 중구 중앙길 47 (성남동)
2nd row울산광역시 중구 반구로 10 (반구동)
3rd row울산광역시 중구 병영성4길 36-3, 1층 (남외동)
4th row울산광역시 중구 성안2길 5 (성안동)
5th row울산광역시 중구 다운7길 140 (다운동)
ValueCountFrequency (%)
울산광역시 37
17.1%
중구 37
17.1%
1층 22
 
10.1%
성안동 9
 
4.1%
다운동 6
 
2.8%
학성동 5
 
2.3%
태화동 4
 
1.8%
2층 3
 
1.4%
23 3
 
1.4%
약사동 3
 
1.4%
Other values (75) 88
40.6%
2023-12-12T07:55:46.810579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
180
18.4%
1 49
 
5.0%
구 42
 
4.3%
산 40
 
4.1%
중 39
 
4.0%
시 38
 
3.9%
울 37
 
3.8%
( 37
 
3.8%
동 37
 
3.8%
) 37
 
3.8%
Other values (68) 441
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 536
54.9%
Space Separator 180
 
18.4%
Decimal Number 152
 
15.6%
Open Punctuation 37
 
3.8%
Close Punctuation 37
 
3.8%
Other Punctuation 30
 
3.1%
Dash Punctuation 4
 
0.4%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 42
 
7.8%
산 40
 
7.5%
중 39
 
7.3%
시 38
 
7.1%
울 37
 
6.9%
동 37
 
6.9%
광 37
 
6.9%
역 37
 
6.9%
길 30
 
5.6%
성 30
 
5.6%
Other values (52) 169
31.5%
Decimal Number
ValueCountFrequency (%)
1 49
32.2%
2 23
15.1%
3 20
13.2%
4 18
 
11.8%
5 10
 
6.6%
7 10
 
6.6%
0 9
 
5.9%
6 6
 
3.9%
9 5
 
3.3%
8 2
 
1.3%
Space Separator
ValueCountFrequency (%)
180
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Other Punctuation
ValueCountFrequency (%)
, 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 536
54.9%
Common 441
45.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 42
 
7.8%
산 40
 
7.5%
중 39
 
7.3%
시 38
 
7.1%
울 37
 
6.9%
동 37
 
6.9%
광 37
 
6.9%
역 37
 
6.9%
길 30
 
5.6%
성 30
 
5.6%
Other values (52) 169
31.5%
Common
ValueCountFrequency (%)
180
40.8%
1 49
 
11.1%
( 37
 
8.4%
) 37
 
8.4%
, 30
 
6.8%
2 23
 
5.2%
3 20
 
4.5%
4 18
 
4.1%
5 10
 
2.3%
7 10
 
2.3%
Other values (6) 27
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 536
54.9%
ASCII 441
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
180
40.8%
1 49
 
11.1%
( 37
 
8.4%
) 37
 
8.4%
, 30
 
6.8%
2 23
 
5.2%
3 20
 
4.5%
4 18
 
4.1%
5 10
 
2.3%
7 10
 
2.3%
Other values (6) 27
 
6.1%
Hangul
ValueCountFrequency (%)
구 42
 
7.8%
산 40
 
7.5%
중 39
 
7.3%
시 38
 
7.1%
울 37
 
6.9%
동 37
 
6.9%
광 37
 
6.9%
역 37
 
6.9%
길 30
 
5.6%
성 30
 
5.6%
Other values (52) 169
31.5%

전화번호
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing15
Missing (%)40.5%
Memory size428.0 B
2023-12-12T07:55:46.988160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.045455
Min length12

Characters and Unicode

Total characters265
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

Unique22 ?
Unique (%)100.0%

Sample

1st row052-244-3429
2nd row052-293-9010
3rd row052-296-6251
4th row052-245-6070
5th row052-249-7469
ValueCountFrequency (%)
080-737-3333 1
 
4.5%
052-296-6251 1
 
4.5%
052-248-2727 1
 
4.5%
052-265-4338 1
 
4.5%
052-245-9112 1
 
4.5%
052-248-2929 1
 
4.5%
052-249-4324 1
 
4.5%
052-223-5679 1
 
4.5%
052-256-5375 1
 
4.5%
070-4062-3257 1
 
4.5%
Other values (12) 12
54.5%
2023-12-12T07:55:47.274448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 53
20.0%
- 44
16.6%
0 39
14.7%
5 33
12.5%
9 22
8.3%
4 22
8.3%
3 15
 
5.7%
7 14
 
5.3%
6 10
 
3.8%
1 7
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 221
83.4%
Dash Punctuation 44
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 53
24.0%
0 39
17.6%
5 33
14.9%
9 22
10.0%
4 22
10.0%
3 15
 
6.8%
7 14
 
6.3%
6 10
 
4.5%
1 7
 
3.2%
8 6
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 265
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 53
20.0%
- 44
16.6%
0 39
14.7%
5 33
12.5%
9 22
8.3%
4 22
8.3%
3 15
 
5.7%
7 14
 
5.3%
6 10
 
3.8%
1 7
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 265
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 53
20.0%
- 44
16.6%
0 39
14.7%
5 33
12.5%
9 22
8.3%
4 22
8.3%
3 15
 
5.7%
7 14
 
5.3%
6 10
 
3.8%
1 7
 
2.6%

식품의유형
Text

MISSING 

Distinct22
Distinct (%)61.1%
Missing1
Missing (%)2.7%
Memory size428.0 B
2023-12-12T07:55:47.439760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length81
Median length60
Mean length11.416667
Min length4

Characters and Unicode

Total characters411
Distinct characters68
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

Unique17 ?
Unique (%)47.2%

Sample

1st row 어육반제품
2nd row 조미김
3rd row 두부
4th row 곡류가공품, 즉석섭취식품
5th row 참기름, 고춧가루, 곡류가공품, 기타가공품
ValueCountFrequency (%)
커피 9
 
13.4%
소스 6
 
9.0%
곡류가공품 4
 
6.0%
두부 4
 
6.0%
기타가공품 4
 
6.0%
복합조미식품 4
 
6.0%
참기름 3
 
4.5%
향신료조제품 3
 
4.5%
천연향신료 3
 
4.5%
조미김 2
 
3.0%
Other values (22) 25
37.3%
2023-12-12T07:55:47.720202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
131
31.9%
, 28
 
6.8%
품 27
 
6.6%
가 16
 
3.9%
공 14
 
3.4%
조 12
 
2.9%
식 10
 
2.4%
류 10
 
2.4%
커 10
 
2.4%
피 10
 
2.4%
Other values (58) 143
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 251
61.1%
Space Separator 131
31.9%
Other Punctuation 29
 
7.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 27
 
10.8%
가 16
 
6.4%
공 14
 
5.6%
조 12
 
4.8%
식 10
 
4.0%
류 10
 
4.0%
커 10
 
4.0%
피 10
 
4.0%
기 8
 
3.2%
신 7
 
2.8%
Other values (55) 127
50.6%
Other Punctuation
ValueCountFrequency (%)
, 28
96.6%
. 1
 
3.4%
Space Separator
ValueCountFrequency (%)
131
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 251
61.1%
Common 160
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 27
 
10.8%
가 16
 
6.4%
공 14
 
5.6%
조 12
 
4.8%
식 10
 
4.0%
류 10
 
4.0%
커 10
 
4.0%
피 10
 
4.0%
기 8
 
3.2%
신 7
 
2.8%
Other values (55) 127
50.6%
Common
ValueCountFrequency (%)
131
81.9%
, 28
 
17.5%
. 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 251
61.1%
ASCII 160
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
131
81.9%
, 28
 
17.5%
. 1
 
0.6%
Hangul
ValueCountFrequency (%)
품 27
 
10.8%
가 16
 
6.4%
공 14
 
5.6%
조 12
 
4.8%
식 10
 
4.0%
류 10
 
4.0%
커 10
 
4.0%
피 10
 
4.0%
기 8
 
3.2%
신 7
 
2.8%
Other values (55) 127
50.6%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
Minimum2023-08-08 00:00:00
Maximum2023-08-08 00:00:00
2023-12-12T07:55:47.822975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:55:47.902658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T07:55:45.127980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T07:55:47.965583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호업소명소재지(도로명)전화번호식품의유형
번호1.0001.0001.0001.0000.578
업소명1.0001.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000
식품의유형0.5781.0001.0001.0001.000

Missing values

2023-12-12T07:55:45.233197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T07:55:45.323255image/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.
2023-12-12T07:55:45.396090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

번호업소명소재지(도로명)전화번호식품의유형데이터기준일
01부산식품부산어묵울산광역시 중구 중앙길 47 (성남동)052-244-3429어육반제품2023-08-08
12갈매기식품울산광역시 중구 반구로 10 (반구동)052-293-9010조미김2023-08-08
23복된두부울산광역시 중구 병영성4길 36-3, 1층 (남외동)052-296-6251두부2023-08-08
34(주)태능푸드시스템울산광역시 중구 성안2길 5 (성안동)052-245-6070곡류가공품, 즉석섭취식품2023-08-08
45한양식품울산광역시 중구 다운7길 140 (다운동)052-249-7469참기름, 고춧가루, 곡류가공품, 기타가공품2023-08-08
56미래종합식품울산광역시 중구 운곡6길 2, 104호 (다운동)<NA>두부2023-08-08
67예방앗간울산광역시 중구 성안14길 44 (성안동)052-246-0029참기름, 고춧가루, 향신료조제품, 땅콩 또는 견과류가공품, 곡류가공품, 두류가공품, 기타가공품2023-08-08
78다꾸다꾸울산광역시 중구 중앙길 20, 1층 (성남동)<NA>소스2023-08-08
89강고집한우사골곰국울산광역시 중구 함월22길 14 (성안동)052-243-4009추출가공식품2023-08-08
910다진식품울산광역시 중구 학성1길 43, 1층 (학성동)052-297-2494떡류2023-08-08
번호업소명소재지(도로명)전화번호식품의유형데이터기준일
2728예담식품울산광역시 중구 새벽시장3길 10-3, 1층 (학성동)<NA>참기름2023-08-08
2829난다식품울산광역시 중구 학성공원2길 5 (학성동)<NA><NA>2023-08-08
2930청담부각울산광역시 중구 성안15길 54, 1층 102호 (성안동)<NA>조미김2023-08-08
3031참사랑식품울산광역시 중구 평산4길 72, 1~2층 (약사동)052-265-4338두부, 묵류2023-08-08
3132프라이로스터스(Frei roasters)울산광역시 중구 학성로 24, 2층 (성남동)<NA>커피원두2023-08-08
3233해랑에프엔비울산광역시 중구 도화골3길 15, 1층 (복산동)<NA>복합조미식품2023-08-08
3334함월커피 컴퍼니울산광역시 중구 성안로 144, 1층 (성안동)<NA>커피2023-08-08
3435태화푸드울산광역시 중구 다운13길 17, 1층 (다운동)052-950-9900즉석조리식품2023-08-08
3536팔곡에프앤씨(FNC)울산광역시 중구 성안6길 35, 1층 (성안동)<NA>소스, 복합조미식품2023-08-08
3637델리시움랩(Delicium Lab)울산광역시 중구 태화강국가정원길 199, 2층 (태화동)<NA>커피2023-08-08