Overview

Dataset statistics

Number of variables5
Number of observations75
Missing cells36
Missing cells (%)9.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory42.8 B

Variable types

Numeric1
Text4

Dataset

Description대구광역시_동구_식육포장처리업현황_20180801
Author대구광역시 동구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3055119&dataSetDetailId=30551191aea39c955e5d_201809201136&provdMethod=FILE

Alerts

소재지전화 has 36 (48.0%) missing valuesMissing
연번 has unique valuesUnique
사업장명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-10 18:55:29.491422
Analysis finished2023-12-10 18:55:30.657897
Duration1.17 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38
Minimum1
Maximum75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-11T03:55:31.162369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.7
Q119.5
median38
Q356.5
95-th percentile71.3
Maximum75
Range74
Interquartile range (IQR)37

Descriptive statistics

Standard deviation21.794495
Coefficient of variation (CV)0.57353933
Kurtosis-1.2
Mean38
Median Absolute Deviation (MAD)19
Skewness0
Sum2850
Variance475
MonotonicityStrictly increasing
2023-12-11T03:55:31.418373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.3%
49 1
 
1.3%
56 1
 
1.3%
55 1
 
1.3%
54 1
 
1.3%
53 1
 
1.3%
52 1
 
1.3%
51 1
 
1.3%
50 1
 
1.3%
48 1
 
1.3%
Other values (65) 65
86.7%
ValueCountFrequency (%)
1 1
1.3%
2 1
1.3%
3 1
1.3%
4 1
1.3%
5 1
1.3%
6 1
1.3%
7 1
1.3%
8 1
1.3%
9 1
1.3%
10 1
1.3%
ValueCountFrequency (%)
75 1
1.3%
74 1
1.3%
73 1
1.3%
72 1
1.3%
71 1
1.3%
70 1
1.3%
69 1
1.3%
68 1
1.3%
67 1
1.3%
66 1
1.3%

사업장명칭
Text

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
2023-12-11T03:55:31.737912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length6.44
Min length2

Characters and Unicode

Total characters483
Distinct characters144
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)100.0%

Sample

1st rowJ.H F
2nd row(주)진우식품 율암지점
3rd row프레시미트
4th row신천고기마트
5th row맹이축산
ValueCountFrequency (%)
주식회사 4
 
4.7%
주)진우식품 2
 
2.3%
성광축산 1
 
1.2%
천마축산 1
 
1.2%
대왕재식품(주 1
 
1.2%
행복하계(동구 1
 
1.2%
주)더좋은푸드 1
 
1.2%
구서울축산 1
 
1.2%
자연축산 1
 
1.2%
영화식품 1
 
1.2%
Other values (72) 72
83.7%
2023-12-11T03:55:32.332375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 24
 
5.0%
( 23
 
4.8%
식 23
 
4.8%
) 23
 
4.8%
품 19
 
3.9%
산 17
 
3.5%
축 16
 
3.3%
드 15
 
3.1%
푸 13
 
2.7%
대 12
 
2.5%
Other values (134) 298
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 419
86.7%
Open Punctuation 23
 
4.8%
Close Punctuation 23
 
4.8%
Space Separator 11
 
2.3%
Uppercase Letter 5
 
1.0%
Decimal Number 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 24
 
5.7%
식 23
 
5.5%
품 19
 
4.5%
산 17
 
4.1%
축 16
 
3.8%
드 15
 
3.6%
푸 13
 
3.1%
대 12
 
2.9%
사 9
 
2.1%
우 8
 
1.9%
Other values (124) 263
62.8%
Uppercase Letter
ValueCountFrequency (%)
J 1
20.0%
G 1
20.0%
Y 1
20.0%
F 1
20.0%
H 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 419
86.7%
Common 59
 
12.2%
Latin 5
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 24
 
5.7%
식 23
 
5.5%
품 19
 
4.5%
산 17
 
4.1%
축 16
 
3.8%
드 15
 
3.6%
푸 13
 
3.1%
대 12
 
2.9%
사 9
 
2.1%
우 8
 
1.9%
Other values (124) 263
62.8%
Common
ValueCountFrequency (%)
( 23
39.0%
) 23
39.0%
11
18.6%
1 1
 
1.7%
. 1
 
1.7%
Latin
ValueCountFrequency (%)
J 1
20.0%
G 1
20.0%
Y 1
20.0%
F 1
20.0%
H 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 419
86.7%
ASCII 64
 
13.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 24
 
5.7%
식 23
 
5.5%
품 19
 
4.5%
산 17
 
4.1%
축 16
 
3.8%
드 15
 
3.6%
푸 13
 
3.1%
대 12
 
2.9%
사 9
 
2.1%
우 8
 
1.9%
Other values (124) 263
62.8%
ASCII
ValueCountFrequency (%)
( 23
35.9%
) 23
35.9%
11
17.2%
J 1
 
1.6%
G 1
 
1.6%
1 1
 
1.6%
Y 1
 
1.6%
F 1
 
1.6%
H 1
 
1.6%
. 1
 
1.6%

소재지주소(지번)
Text

Distinct73
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
2023-12-11T03:55:32.782861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length28
Mean length21.44
Min length12

Characters and Unicode

Total characters1608
Distinct characters71
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)94.7%

Sample

1st row대구광역시 동구 신천동 260-9번지
2nd row대구광역시 동구 율암동 524-461번지
3rd row대구광역시 동구 부동 518-42번지
4th row대구광역시 동구 신암동 1332-11번지
5th row대구광역시 동구 신암동 705-25번지
ValueCountFrequency (%)
대구광역시 75
24.4%
동구 75
24.4%
신평동 11
 
3.6%
검사동 10
 
3.3%
신암동 8
 
2.6%
부동 6
 
2.0%
지저동 5
 
1.6%
도동 4
 
1.3%
신서동 4
 
1.3%
율하동 3
 
1.0%
Other values (93) 106
34.5%
2023-12-11T03:55:33.459853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
305
19.0%
동 154
 
9.6%
구 150
 
9.3%
지 79
 
4.9%
대 75
 
4.7%
광 75
 
4.7%
역 75
 
4.7%
시 75
 
4.7%
번 72
 
4.5%
1 62
 
3.9%
Other values (61) 486
30.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 910
56.6%
Decimal Number 326
 
20.3%
Space Separator 305
 
19.0%
Dash Punctuation 61
 
3.8%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Uppercase Letter 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 154
16.9%
구 150
16.5%
지 79
8.7%
대 75
8.2%
광 75
8.2%
역 75
8.2%
시 75
8.2%
번 72
7.9%
신 28
 
3.1%
평 11
 
1.2%
Other values (45) 116
12.7%
Decimal Number
ValueCountFrequency (%)
1 62
19.0%
3 43
13.2%
2 39
12.0%
6 31
9.5%
8 30
9.2%
4 27
8.3%
9 26
8.0%
0 26
8.0%
5 23
 
7.1%
7 19
 
5.8%
Space Separator
ValueCountFrequency (%)
305
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 910
56.6%
Common 697
43.3%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 154
16.9%
구 150
16.5%
지 79
8.7%
대 75
8.2%
광 75
8.2%
역 75
8.2%
시 75
8.2%
번 72
7.9%
신 28
 
3.1%
평 11
 
1.2%
Other values (45) 116
12.7%
Common
ValueCountFrequency (%)
305
43.8%
1 62
 
8.9%
- 61
 
8.8%
3 43
 
6.2%
2 39
 
5.6%
6 31
 
4.4%
8 30
 
4.3%
4 27
 
3.9%
9 26
 
3.7%
0 26
 
3.7%
Other values (5) 47
 
6.7%
Latin
ValueCountFrequency (%)
C 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 910
56.6%
ASCII 698
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
305
43.7%
1 62
 
8.9%
- 61
 
8.7%
3 43
 
6.2%
2 39
 
5.6%
6 31
 
4.4%
8 30
 
4.3%
4 27
 
3.9%
9 26
 
3.7%
0 26
 
3.7%
Other values (6) 48
 
6.9%
Hangul
ValueCountFrequency (%)
동 154
16.9%
구 150
16.5%
지 79
8.7%
대 75
8.2%
광 75
8.2%
역 75
8.2%
시 75
8.2%
번 72
7.9%
신 28
 
3.1%
평 11
 
1.2%
Other values (45) 116
12.7%

소재지주소(도로명)
Text

Distinct73
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
2023-12-11T03:55:33.937553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length33
Mean length24.453333
Min length20

Characters and Unicode

Total characters1834
Distinct characters102
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)94.7%

Sample

1st row대구광역시 동구 동부로16길 56 (신천동)
2nd row대구광역시 동구 반야월북로2길 16-8 (율암동)
3rd row대구광역시 동구 부동길 16 (부동)
4th row대구광역시 동구 신성로 17 (신암동)
5th row대구광역시 동구 평화로 11 (신암동)
ValueCountFrequency (%)
대구광역시 75
19.2%
동구 75
19.2%
신평동 11
 
2.8%
검사동 9
 
2.3%
신암동 8
 
2.1%
입석로 7
 
1.8%
부동 6
 
1.5%
지저동 5
 
1.3%
신덕로 5
 
1.3%
부동길 4
 
1.0%
Other values (147) 185
47.4%
2023-12-11T03:55:34.770261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
315
17.2%
동 168
 
9.2%
구 150
 
8.2%
1 80
 
4.4%
) 77
 
4.2%
( 77
 
4.2%
대 76
 
4.1%
역 76
 
4.1%
광 75
 
4.1%
시 75
 
4.1%
Other values (92) 665
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1056
57.6%
Space Separator 315
 
17.2%
Decimal Number 271
 
14.8%
Close Punctuation 77
 
4.2%
Open Punctuation 77
 
4.2%
Dash Punctuation 21
 
1.1%
Other Punctuation 15
 
0.8%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 168
15.9%
구 150
14.2%
대 76
 
7.2%
역 76
 
7.2%
광 75
 
7.1%
시 75
 
7.1%
로 73
 
6.9%
신 43
 
4.1%
길 37
 
3.5%
평 20
 
1.9%
Other values (75) 263
24.9%
Decimal Number
ValueCountFrequency (%)
1 80
29.5%
2 40
14.8%
4 27
 
10.0%
6 22
 
8.1%
3 21
 
7.7%
7 21
 
7.7%
5 19
 
7.0%
0 16
 
5.9%
9 15
 
5.5%
8 10
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
D 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
315
100.0%
Close Punctuation
ValueCountFrequency (%)
) 77
100.0%
Open Punctuation
ValueCountFrequency (%)
( 77
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1056
57.6%
Common 776
42.3%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 168
15.9%
구 150
14.2%
대 76
 
7.2%
역 76
 
7.2%
광 75
 
7.1%
시 75
 
7.1%
로 73
 
6.9%
신 43
 
4.1%
길 37
 
3.5%
평 20
 
1.9%
Other values (75) 263
24.9%
Common
ValueCountFrequency (%)
315
40.6%
1 80
 
10.3%
) 77
 
9.9%
( 77
 
9.9%
2 40
 
5.2%
4 27
 
3.5%
6 22
 
2.8%
3 21
 
2.7%
7 21
 
2.7%
- 21
 
2.7%
Other values (5) 75
 
9.7%
Latin
ValueCountFrequency (%)
D 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1056
57.6%
ASCII 778
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
315
40.5%
1 80
 
10.3%
) 77
 
9.9%
( 77
 
9.9%
2 40
 
5.1%
4 27
 
3.5%
6 22
 
2.8%
3 21
 
2.7%
7 21
 
2.7%
- 21
 
2.7%
Other values (7) 77
 
9.9%
Hangul
ValueCountFrequency (%)
동 168
15.9%
구 150
14.2%
대 76
 
7.2%
역 76
 
7.2%
광 75
 
7.1%
시 75
 
7.1%
로 73
 
6.9%
신 43
 
4.1%
길 37
 
3.5%
평 20
 
1.9%
Other values (75) 263
24.9%

소재지전화
Text

MISSING 

Distinct38
Distinct (%)97.4%
Missing36
Missing (%)48.0%
Memory size732.0 B
2023-12-11T03:55:35.152422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.051282
Min length12

Characters and Unicode

Total characters470
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

Unique37 ?
Unique (%)94.9%

Sample

1st row053-746-0092
2nd row053-956-9243
3rd row053-615-0609
4th row070-4063-9908
5th row053-427-8224
ValueCountFrequency (%)
053-746-0092 2
 
5.1%
053-984-8880 1
 
2.6%
053-955-4047 1
 
2.6%
053-963-4313 1
 
2.6%
053-984-8866 1
 
2.6%
053-965-4442 1
 
2.6%
053-266-6652 1
 
2.6%
053-986-0826 1
 
2.6%
053-982-9722 1
 
2.6%
070-8201-3210 1
 
2.6%
Other values (28) 28
71.8%
2023-12-11T03:55:35.790850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 78
16.6%
0 66
14.0%
5 60
12.8%
3 59
12.6%
9 47
10.0%
8 42
8.9%
2 31
 
6.6%
6 29
 
6.2%
4 24
 
5.1%
7 21
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 392
83.4%
Dash Punctuation 78
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 66
16.8%
5 60
15.3%
3 59
15.1%
9 47
12.0%
8 42
10.7%
2 31
7.9%
6 29
7.4%
4 24
 
6.1%
7 21
 
5.4%
1 13
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 470
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 78
16.6%
0 66
14.0%
5 60
12.8%
3 59
12.6%
9 47
10.0%
8 42
8.9%
2 31
 
6.6%
6 29
 
6.2%
4 24
 
5.1%
7 21
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 470
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 78
16.6%
0 66
14.0%
5 60
12.8%
3 59
12.6%
9 47
10.0%
8 42
8.9%
2 31
 
6.6%
6 29
 
6.2%
4 24
 
5.1%
7 21
 
4.5%

Interactions

2023-12-11T03:55:30.139699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T03:55:36.107976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사업장명칭소재지주소(지번)소재지주소(도로명)소재지전화
연번1.0001.0000.8650.8650.933
사업장명칭1.0001.0001.0001.0001.000
소재지주소(지번)0.8651.0001.0001.0001.000
소재지주소(도로명)0.8651.0001.0001.0001.000
소재지전화0.9331.0001.0001.0001.000

Missing values

2023-12-11T03:55:30.409977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T03:55:30.581987image/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

연번사업장명칭소재지주소(지번)소재지주소(도로명)소재지전화
01J.H F대구광역시 동구 신천동 260-9번지대구광역시 동구 동부로16길 56 (신천동)<NA>
12(주)진우식품 율암지점대구광역시 동구 율암동 524-461번지대구광역시 동구 반야월북로2길 16-8 (율암동)053-746-0092
23프레시미트대구광역시 동구 부동 518-42번지대구광역시 동구 부동길 16 (부동)<NA>
34신천고기마트대구광역시 동구 신암동 1332-11번지대구광역시 동구 신성로 17 (신암동)053-956-9243
45맹이축산대구광역시 동구 신암동 705-25번지대구광역시 동구 평화로 11 (신암동)053-615-0609
56YG푸드대구광역시 동구 검사동 901-12번지대구광역시 동구 입석로 97-25 (검사동)<NA>
67안심농장 축산물도매업대구광역시 동구 숙천동 210-1번지 나동대구광역시 동구 대경로 1, 나동 (숙천동)<NA>
78훈민푸드 주식회사대구광역시 동구 신평동 564-13번지대구광역시 동구 신평로 143-14 (신평동)070-4063-9908
89계림푸드대구광역시 동구 지저동 166번지대구광역시 동구 도평로 42-10 (지저동)053-427-8224
910농업회사법인 주식회사 예정미트대구광역시 동구 부동 518-42번지대구광역시 동구 부동길 16 (부동)<NA>
연번사업장명칭소재지주소(지번)소재지주소(도로명)소재지전화
6566계정대구광역시 동구 도학동 329-2번지대구광역시 동구 팔공산로 1514 (도학동)053-986-8098
6667명진식품대구광역시 동구 신암동 722-289번지대구광역시 동구 평화로 22 (신암동)053-955-4047
6768두민푸드대구광역시 동구 도동 268번지대구광역시 동구 도평로43길 11 (도동)<NA>
6869동대구식품대구광역시 동구 불로동 1000-6번지대구광역시 동구 방천로 16 (불로동)<NA>
6970신성식품대구광역시 동구 용계동 878-31번지대구광역시 동구 용계로 81-1 (용계동)<NA>
7071민아식품대구광역시 동구 봉무동 249-1번지대구광역시 동구 팔공로68길 4 (봉무동)053-382-9558
7172(주)융화식품대구광역시 동구 검사동 895-33번지대구광역시 동구 입석로 97-20 (검사동)<NA>
7273글로벌식품대구광역시 동구 지저동 736-1번지대구광역시 동구 방천로1길 105 (지저동)053-984-8866
7374최고유통대구광역시 동구 용계동 736-13번지대구광역시 동구 반야월로 60-1 (용계동)053-963-4313
7475금능식품대구광역시 동구 효목동 138-1번지대구광역시 동구 효동로15길 7 (효목동)053-956-8138