Overview

Dataset statistics

Number of variables5
Number of observations70
Missing cells44
Missing cells (%)12.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory41.9 B

Variable types

Text3
Categorical2

Dataset

Description경기도 구리시 지역내에 위치한 축산물 가공장에 대한 현황정보(사업장명칭,사업장 소재지, 전화번호 등)을 제공합니다.
URLhttps://www.data.go.kr/data/15025376/fileData.do

Alerts

관할기관 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지전화 has 44 (62.9%) missing valuesMissing

Reproduction

Analysis started2023-12-12 12:01:25.849125
Analysis finished2023-12-12 12:01:26.266602
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명칭
Text

Distinct69
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size692.0 B
2023-12-12T21:01:26.508275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length15
Mean length9.6
Min length3

Characters and Unicode

Total characters672
Distinct characters141
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

Unique68 ?
Unique (%)97.1%

Sample

1st row참내음식품
2nd row(주)진성푸드시스템
3rd rowTHE 홍 MEAT
4th row(주)한소우
5th row(주)에스에이치미트
ValueCountFrequency (%)
주식회사 18
 
16.7%
농업회사법인 8
 
7.4%
주)진성푸드시스템 2
 
1.9%
미트온 1
 
0.9%
고전푸드system 1
 
0.9%
태성푸드 1
 
0.9%
농업법인 1
 
0.9%
성림축산 1
 
0.9%
농부 1
 
0.9%
조이축산미트 1
 
0.9%
Other values (73) 73
67.6%
2023-12-12T21:01:26.963937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 48
 
7.1%
38
 
5.7%
사 33
 
4.9%
회 32
 
4.8%
드 31
 
4.6%
( 31
 
4.6%
) 31
 
4.6%
푸 30
 
4.5%
식 23
 
3.4%
농 16
 
2.4%
Other values (131) 359
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 522
77.7%
Space Separator 38
 
5.7%
Uppercase Letter 35
 
5.2%
Open Punctuation 31
 
4.6%
Close Punctuation 31
 
4.6%
Lowercase Letter 10
 
1.5%
Other Punctuation 3
 
0.4%
Decimal Number 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 48
 
9.2%
사 33
 
6.3%
회 32
 
6.1%
드 31
 
5.9%
푸 30
 
5.7%
식 23
 
4.4%
농 16
 
3.1%
업 15
 
2.9%
법 14
 
2.7%
인 14
 
2.7%
Other values (104) 266
51.0%
Uppercase Letter
ValueCountFrequency (%)
M 6
17.1%
T 4
11.4%
E 4
11.4%
S 4
11.4%
F 3
8.6%
H 3
8.6%
L 2
 
5.7%
Y 2
 
5.7%
A 2
 
5.7%
K 1
 
2.9%
Other values (4) 4
11.4%
Lowercase Letter
ValueCountFrequency (%)
a 3
30.0%
e 2
20.0%
t 1
 
10.0%
s 1
 
10.0%
i 1
 
10.0%
d 1
 
10.0%
r 1
 
10.0%
Space Separator
ValueCountFrequency (%)
38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Other Punctuation
ValueCountFrequency (%)
& 3
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 522
77.7%
Common 105
 
15.6%
Latin 45
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 48
 
9.2%
사 33
 
6.3%
회 32
 
6.1%
드 31
 
5.9%
푸 30
 
5.7%
식 23
 
4.4%
농 16
 
3.1%
업 15
 
2.9%
법 14
 
2.7%
인 14
 
2.7%
Other values (104) 266
51.0%
Latin
ValueCountFrequency (%)
M 6
13.3%
T 4
 
8.9%
E 4
 
8.9%
S 4
 
8.9%
F 3
 
6.7%
H 3
 
6.7%
a 3
 
6.7%
L 2
 
4.4%
Y 2
 
4.4%
e 2
 
4.4%
Other values (11) 12
26.7%
Common
ValueCountFrequency (%)
38
36.2%
( 31
29.5%
) 31
29.5%
& 3
 
2.9%
1 1
 
1.0%
- 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 522
77.7%
ASCII 150
 
22.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 48
 
9.2%
사 33
 
6.3%
회 32
 
6.1%
드 31
 
5.9%
푸 30
 
5.7%
식 23
 
4.4%
농 16
 
3.1%
업 15
 
2.9%
법 14
 
2.7%
인 14
 
2.7%
Other values (104) 266
51.0%
ASCII
ValueCountFrequency (%)
38
25.3%
( 31
20.7%
) 31
20.7%
M 6
 
4.0%
T 4
 
2.7%
E 4
 
2.7%
S 4
 
2.7%
F 3
 
2.0%
H 3
 
2.0%
& 3
 
2.0%
Other values (17) 23
15.3%

사업장소재지(도로명)
Text

Distinct66
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
2023-12-12T21:01:27.280731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length31
Mean length26.757143
Min length20

Characters and Unicode

Total characters1873
Distinct characters76
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)91.4%

Sample

1st row경기도 구리시 동구릉로 417-7 (사노동)
2nd row경기도 구리시 동구릉로431번길 65 (사노동)
3rd row경기도 구리시 원수택로52번길 24-14 (수택동)
4th row경기도 구리시 동구릉로395번길 50-3 (사노동)
5th row경기도 구리시 동구릉로395번길 148 (사노동)
ValueCountFrequency (%)
경기도 70
19.1%
구리시 70
19.1%
사노동 36
 
9.8%
동구릉로460번길 12
 
3.3%
1층 10
 
2.7%
동구릉로395번길 9
 
2.5%
교문동 8
 
2.2%
인창동 8
 
2.2%
동구릉로459번길 7
 
1.9%
수택동 5
 
1.4%
Other values (98) 132
36.0%
2023-12-12T21:01:27.711265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
297
 
15.9%
동 117
 
6.2%
구 112
 
6.0%
기 73
 
3.9%
경 72
 
3.8%
도 70
 
3.7%
리 70
 
3.7%
시 70
 
3.7%
) 70
 
3.7%
( 70
 
3.7%
Other values (66) 852
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1039
55.5%
Decimal Number 355
 
19.0%
Space Separator 297
 
15.9%
Close Punctuation 70
 
3.7%
Open Punctuation 70
 
3.7%
Dash Punctuation 22
 
1.2%
Other Punctuation 20
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 117
11.3%
구 112
10.8%
기 73
 
7.0%
경 72
 
6.9%
도 70
 
6.7%
리 70
 
6.7%
시 70
 
6.7%
로 65
 
6.3%
길 61
 
5.9%
번 56
 
5.4%
Other values (51) 273
26.3%
Decimal Number
ValueCountFrequency (%)
4 55
15.5%
1 54
15.2%
5 47
13.2%
2 39
11.0%
3 37
10.4%
0 31
8.7%
6 29
8.2%
9 26
7.3%
7 20
 
5.6%
8 17
 
4.8%
Space Separator
ValueCountFrequency (%)
297
100.0%
Close Punctuation
ValueCountFrequency (%)
) 70
100.0%
Open Punctuation
ValueCountFrequency (%)
( 70
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1039
55.5%
Common 834
44.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 117
11.3%
구 112
10.8%
기 73
 
7.0%
경 72
 
6.9%
도 70
 
6.7%
리 70
 
6.7%
시 70
 
6.7%
로 65
 
6.3%
길 61
 
5.9%
번 56
 
5.4%
Other values (51) 273
26.3%
Common
ValueCountFrequency (%)
297
35.6%
) 70
 
8.4%
( 70
 
8.4%
4 55
 
6.6%
1 54
 
6.5%
5 47
 
5.6%
2 39
 
4.7%
3 37
 
4.4%
0 31
 
3.7%
6 29
 
3.5%
Other values (5) 105
 
12.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1039
55.5%
ASCII 834
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
297
35.6%
) 70
 
8.4%
( 70
 
8.4%
4 55
 
6.6%
1 54
 
6.5%
5 47
 
5.6%
2 39
 
4.7%
3 37
 
4.4%
0 31
 
3.7%
6 29
 
3.5%
Other values (5) 105
 
12.6%
Hangul
ValueCountFrequency (%)
동 117
11.3%
구 112
10.8%
기 73
 
7.0%
경 72
 
6.9%
도 70
 
6.7%
리 70
 
6.7%
시 70
 
6.7%
로 65
 
6.3%
길 61
 
5.9%
번 56
 
5.4%
Other values (51) 273
26.3%

소재지전화
Text

MISSING 

Distinct25
Distinct (%)96.2%
Missing44
Missing (%)62.9%
Memory size692.0 B
2023-12-12T21:01:27.919741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.038462
Min length12

Characters and Unicode

Total characters313
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

Unique24 ?
Unique (%)92.3%

Sample

1st row031-575-5898
2nd row031-528-2524
3rd row031-3295-3474
4th row031-573-5160
5th row031-574-9336
ValueCountFrequency (%)
031-529-2200 2
 
7.7%
031-521-3103 1
 
3.8%
031-575-5898 1
 
3.8%
031-575-9597 1
 
3.8%
031-527-0000 1
 
3.8%
031-557-1103 1
 
3.8%
031-527-6401 1
 
3.8%
031-573-5315 1
 
3.8%
031-568-2231 1
 
3.8%
031-574-9322 1
 
3.8%
Other values (15) 15
57.7%
2023-12-12T21:01:28.266852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 52
16.6%
1 47
15.0%
0 43
13.7%
5 41
13.1%
3 40
12.8%
2 24
7.7%
7 18
 
5.8%
9 15
 
4.8%
4 11
 
3.5%
6 11
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 261
83.4%
Dash Punctuation 52
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 47
18.0%
0 43
16.5%
5 41
15.7%
3 40
15.3%
2 24
9.2%
7 18
 
6.9%
9 15
 
5.7%
4 11
 
4.2%
6 11
 
4.2%
8 11
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 313
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 52
16.6%
1 47
15.0%
0 43
13.7%
5 41
13.1%
3 40
12.8%
2 24
7.7%
7 18
 
5.8%
9 15
 
4.8%
4 11
 
3.5%
6 11
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 313
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 52
16.6%
1 47
15.0%
0 43
13.7%
5 41
13.1%
3 40
12.8%
2 24
7.7%
7 18
 
5.8%
9 15
 
4.8%
4 11
 
3.5%
6 11
 
3.5%

관할기관
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size692.0 B
구리시청
70 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
구리시청 70
100.0%

Length

2023-12-12T21:01:28.391870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:01:28.486019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구리시청 70
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size692.0 B
2023-06-01
70 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-01
2nd row2023-06-01
3rd row2023-06-01
4th row2023-06-01
5th row2023-06-01

Common Values

ValueCountFrequency (%)
2023-06-01 70
100.0%

Length

2023-12-12T21:01:28.585525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:01:28.697386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-01 70
100.0%

Correlations

2023-12-12T21:01:28.753904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장명칭사업장소재지(도로명)소재지전화
사업장명칭1.0001.0001.000
사업장소재지(도로명)1.0001.0001.000
소재지전화1.0001.0001.000

Missing values

2023-12-12T21:01:26.118917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:01:26.218443image/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

사업장명칭사업장소재지(도로명)소재지전화관할기관데이터기준일자
0참내음식품경기도 구리시 동구릉로 417-7 (사노동)031-575-5898구리시청2023-06-01
1(주)진성푸드시스템경기도 구리시 동구릉로431번길 65 (사노동)031-528-2524구리시청2023-06-01
2THE 홍 MEAT경기도 구리시 원수택로52번길 24-14 (수택동)<NA>구리시청2023-06-01
3(주)한소우경기도 구리시 동구릉로395번길 50-3 (사노동)<NA>구리시청2023-06-01
4(주)에스에이치미트경기도 구리시 동구릉로395번길 148 (사노동)031-3295-3474구리시청2023-06-01
5(주)YS미트경기도 구리시 동구릉로200번길 55 (인창동)<NA>구리시청2023-06-01
6하나미트경기도 구리시 동구릉로459번길 38(사노동)<NA>구리시청2023-06-01
7아리한우경기도 구리시 벌말로70번길 82 (토평동)<NA>구리시청2023-06-01
8창성푸드경기도 구리시 검배로93번길 16-4 (수택동)<NA>구리시청2023-06-01
9농업회사법인 주식회사 원미트푸드경기도 구리시 인창2로 77, 1층, 2층일부 (인창동)<NA>구리시청2023-06-01
사업장명칭사업장소재지(도로명)소재지전화관할기관데이터기준일자
60주식회사 명가그린팜 경기지점경기도 구리시 딸기원로8번길 26 (교문동)031-557-1103구리시청2023-06-01
61동화상사경기도 구리시 원수택로25번길 8, 1층 (수택동)<NA>구리시청2023-06-01
62농업회사법인 (주) 참조아경기도 구리시 동구릉로460번길 22 (사노동)<NA>구리시청2023-06-01
63(주)원일푸드경기도 구리시 동구릉로459번길 44 (사노동)031-527-0000구리시청2023-06-01
64조아육가공 주식회사경기도 구리시 동구릉로200번길 24 (인창동)<NA>구리시청2023-06-01
65주식회사 장수푸드경기도 구리시 동구릉로431번길 65 (사노동)<NA>구리시청2023-06-01
66농업회사법인 선진미트 주식회사경기도 구리시 이문안로 126-2, 동영빌딩 (토평동)031-568-0021구리시청2023-06-01
67주식회사 그린푸드시스템경기도 구리시 동구릉로395번길 18 (사노동)<NA>구리시청2023-06-01
68KM푸드경기도 구리시 동구릉로460번길 55-10, 제3동 (사노동)<NA>구리시청2023-06-01
69쭌미트경기도 구리시 왕숙천로 471, 1층 (인창동)<NA>구리시청2023-06-01