Overview

Dataset statistics

Number of variables4
Number of observations42
Missing cells16
Missing cells (%)9.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory35.1 B

Variable types

Categorical1
Text3

Dataset

Description해당 자료는 부산광역시 사상구에 위치한 위탁급식영업 현황(업소명, 소재지, 소재지전화번호)에 대한 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15025665/fileData.do

Alerts

업종명 has constant value ""Constant
소재지전화 has 16 (38.1%) missing valuesMissing
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:49:59.218596
Analysis finished2023-12-12 16:49:59.562157
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
위탁급식영업
42 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위탁급식영업 42
100.0%

Length

2023-12-13T01:49:59.647254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:49:59.738983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 42
100.0%

업소명
Text

Distinct41
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-13T01:49:59.927423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length11.619048
Min length3

Characters and Unicode

Total characters488
Distinct characters157
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

Unique40 ?
Unique (%)95.2%

Sample

1st row(주)현대그린푸드(감전)기아차부산점
2nd row(주)현대그린푸드 현대차사상하이테크센터
3rd row(주)브라운에프엔비 농심부산공장점
4th row(주)신세계푸드이마트사상점
5th row제이제이케터링(주)롯데마트사상점
ValueCountFrequency (%)
그린푸드 2
 
2.9%
주)가내찬 2
 
2.9%
서비스 2
 
2.9%
주)아워홈 2
 
2.9%
주)주원 2
 
2.9%
주식회사 2
 
2.9%
서원 1
 
1.4%
아이리점 1
 
1.4%
태원니들점 1
 
1.4%
한국특강 1
 
1.4%
Other values (53) 53
76.8%
2023-12-13T01:50:00.337962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 30
 
6.1%
27
 
5.5%
( 25
 
5.1%
) 25
 
5.1%
점 21
 
4.3%
식 13
 
2.7%
드 10
 
2.0%
스 10
 
2.0%
대 10
 
2.0%
부 9
 
1.8%
Other values (147) 308
63.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 404
82.8%
Space Separator 27
 
5.5%
Open Punctuation 25
 
5.1%
Close Punctuation 25
 
5.1%
Uppercase Letter 5
 
1.0%
Other Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 30
 
7.4%
점 21
 
5.2%
식 13
 
3.2%
드 10
 
2.5%
스 10
 
2.5%
대 10
 
2.5%
부 9
 
2.2%
이 9
 
2.2%
푸 9
 
2.2%
산 9
 
2.2%
Other values (138) 274
67.8%
Uppercase Letter
ValueCountFrequency (%)
T 1
20.0%
I 1
20.0%
S 1
20.0%
F 1
20.0%
K 1
20.0%
Space Separator
ValueCountFrequency (%)
27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 404
82.8%
Common 79
 
16.2%
Latin 5
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 30
 
7.4%
점 21
 
5.2%
식 13
 
3.2%
드 10
 
2.5%
스 10
 
2.5%
대 10
 
2.5%
부 9
 
2.2%
이 9
 
2.2%
푸 9
 
2.2%
산 9
 
2.2%
Other values (138) 274
67.8%
Latin
ValueCountFrequency (%)
T 1
20.0%
I 1
20.0%
S 1
20.0%
F 1
20.0%
K 1
20.0%
Common
ValueCountFrequency (%)
27
34.2%
( 25
31.6%
) 25
31.6%
. 2
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 404
82.8%
ASCII 84
 
17.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 30
 
7.4%
점 21
 
5.2%
식 13
 
3.2%
드 10
 
2.5%
스 10
 
2.5%
대 10
 
2.5%
부 9
 
2.2%
이 9
 
2.2%
푸 9
 
2.2%
산 9
 
2.2%
Other values (138) 274
67.8%
ASCII
ValueCountFrequency (%)
27
32.1%
( 25
29.8%
) 25
29.8%
. 2
 
2.4%
T 1
 
1.2%
I 1
 
1.2%
S 1
 
1.2%
F 1
 
1.2%
K 1
 
1.2%

소재지(도로명)
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-13T01:50:00.601662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length38
Mean length33.190476
Min length22

Characters and Unicode

Total characters1394
Distinct characters127
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

Unique42 ?
Unique (%)100.0%

Sample

1st row부산광역시 사상구 가야대로 141, A동 5층 (감전동, 기아자동차(주)부산서비스센터)
2nd row부산광역시 사상구 가야대로 86 (학장동)
3rd row부산광역시 사상구 사상로455번길 46 (모라동)
4th row부산광역시 사상구 광장로 17 (괘법동)
5th row부산광역시 사상구 낙동대로 733 (엄궁동)
ValueCountFrequency (%)
부산광역시 42
 
15.6%
사상구 42
 
15.6%
감전동 10
 
3.7%
1층 9
 
3.3%
학장동 7
 
2.6%
괘법동 6
 
2.2%
주례동 5
 
1.9%
모라동 5
 
1.9%
2층 4
 
1.5%
주례로 4
 
1.5%
Other values (100) 136
50.4%
2023-12-13T01:50:00.999698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
228
 
16.4%
동 63
 
4.5%
) 52
 
3.7%
( 52
 
3.7%
사 49
 
3.5%
산 48
 
3.4%
상 47
 
3.4%
부 47
 
3.4%
광 46
 
3.3%
1 46
 
3.3%
Other values (117) 716
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 832
59.7%
Space Separator 228
 
16.4%
Decimal Number 188
 
13.5%
Close Punctuation 52
 
3.7%
Open Punctuation 52
 
3.7%
Other Punctuation 32
 
2.3%
Uppercase Letter 9
 
0.6%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 63
 
7.6%
사 49
 
5.9%
산 48
 
5.8%
상 47
 
5.6%
부 47
 
5.6%
광 46
 
5.5%
로 43
 
5.2%
시 43
 
5.2%
구 42
 
5.0%
역 42
 
5.0%
Other values (95) 362
43.5%
Decimal Number
ValueCountFrequency (%)
1 46
24.5%
2 24
12.8%
4 22
11.7%
7 18
 
9.6%
5 17
 
9.0%
3 17
 
9.0%
6 16
 
8.5%
0 13
 
6.9%
9 8
 
4.3%
8 7
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
A 3
33.3%
C 2
22.2%
E 1
 
11.1%
S 1
 
11.1%
G 1
 
11.1%
B 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 31
96.9%
& 1
 
3.1%
Space Separator
ValueCountFrequency (%)
228
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 832
59.7%
Common 553
39.7%
Latin 9
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 63
 
7.6%
사 49
 
5.9%
산 48
 
5.8%
상 47
 
5.6%
부 47
 
5.6%
광 46
 
5.5%
로 43
 
5.2%
시 43
 
5.2%
구 42
 
5.0%
역 42
 
5.0%
Other values (95) 362
43.5%
Common
ValueCountFrequency (%)
228
41.2%
) 52
 
9.4%
( 52
 
9.4%
1 46
 
8.3%
, 31
 
5.6%
2 24
 
4.3%
4 22
 
4.0%
7 18
 
3.3%
5 17
 
3.1%
3 17
 
3.1%
Other values (6) 46
 
8.3%
Latin
ValueCountFrequency (%)
A 3
33.3%
C 2
22.2%
E 1
 
11.1%
S 1
 
11.1%
G 1
 
11.1%
B 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 832
59.7%
ASCII 562
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
228
40.6%
) 52
 
9.3%
( 52
 
9.3%
1 46
 
8.2%
, 31
 
5.5%
2 24
 
4.3%
4 22
 
3.9%
7 18
 
3.2%
5 17
 
3.0%
3 17
 
3.0%
Other values (12) 55
 
9.8%
Hangul
ValueCountFrequency (%)
동 63
 
7.6%
사 49
 
5.9%
산 48
 
5.8%
상 47
 
5.6%
부 47
 
5.6%
광 46
 
5.5%
로 43
 
5.2%
시 43
 
5.2%
구 42
 
5.0%
역 42
 
5.0%
Other values (95) 362
43.5%

소재지전화
Text

MISSING 

Distinct23
Distinct (%)88.5%
Missing16
Missing (%)38.1%
Memory size468.0 B
2023-12-13T01:50:01.209950image/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

Unique21 ?
Unique (%)80.8%

Sample

1st row051-600-6636
2nd row051-600-6636
3rd row051-366-5403
4th row051-329-1195
5th row051-324-2088
ValueCountFrequency (%)
051-714-1322 3
 
11.5%
051-600-6636 2
 
7.7%
051-326-1003 1
 
3.8%
051-860-4303 1
 
3.8%
051-302-1610 1
 
3.8%
051-323-7511 1
 
3.8%
051-315-8583 1
 
3.8%
051-831-3880 1
 
3.8%
051-831-2820 1
 
3.8%
051-528-5712 1
 
3.8%
Other values (13) 13
50.0%
2023-12-13T01:50:01.588602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 52
16.6%
1 51
16.3%
0 50
16.0%
5 37
11.8%
3 33
10.5%
2 25
8.0%
6 18
 
5.8%
8 16
 
5.1%
9 13
 
4.2%
4 10
 
3.2%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 51
19.5%
0 50
19.2%
5 37
14.2%
3 33
12.6%
2 25
9.6%
6 18
 
6.9%
8 16
 
6.1%
9 13
 
5.0%
4 10
 
3.8%
7 8
 
3.1%
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 51
16.3%
0 50
16.0%
5 37
11.8%
3 33
10.5%
2 25
8.0%
6 18
 
5.8%
8 16
 
5.1%
9 13
 
4.2%
4 10
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 313
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 52
16.6%
1 51
16.3%
0 50
16.0%
5 37
11.8%
3 33
10.5%
2 25
8.0%
6 18
 
5.8%
8 16
 
5.1%
9 13
 
4.2%
4 10
 
3.2%

Correlations

2023-12-13T01:50:01.711578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지(도로명)소재지전화
업소명1.0001.0001.000
소재지(도로명)1.0001.0001.000
소재지전화1.0001.0001.000

Missing values

2023-12-13T01:49:59.451308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:49:59.527777image/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

업종명업소명소재지(도로명)소재지전화
0위탁급식영업(주)현대그린푸드(감전)기아차부산점부산광역시 사상구 가야대로 141, A동 5층 (감전동, 기아자동차(주)부산서비스센터)051-600-6636
1위탁급식영업(주)현대그린푸드 현대차사상하이테크센터부산광역시 사상구 가야대로 86 (학장동)051-600-6636
2위탁급식영업(주)브라운에프엔비 농심부산공장점부산광역시 사상구 사상로455번길 46 (모라동)051-366-5403
3위탁급식영업(주)신세계푸드이마트사상점부산광역시 사상구 광장로 17 (괘법동)051-329-1195
4위탁급식영업제이제이케터링(주)롯데마트사상점부산광역시 사상구 낙동대로 733 (엄궁동)051-324-2088
5위탁급식영업진흥 F.S.부산광역시 사상구 광장로20번길 13, 1층 (괘법동, 삼익빌딩)051-322-2612
6위탁급식영업(주)아워홈엘지유플러스부산교환국사점부산광역시 사상구 감전천로 216 (감전동)051-710-7333
7위탁급식영업진짜루부산광역시 사상구 가야대로176번길 53 (학장동)051-328-0899
8위탁급식영업신라대 미대식당부산광역시 사상구 백양대로700번길 140 (괘법동, 신라대 미술관)051-9539-0914
9위탁급식영업(주)아워홈 대남병원부산점부산광역시 사상구 학감대로39번길 116 (학장동)051-320-6334
업종명업소명소재지(도로명)소재지전화
32위탁급식영업(주)주원 디지털대학교점부산광역시 사상구 주례로 45, 문화센터 14동 10층 (주례동)<NA>
33위탁급식영업동문식품부산광역시 사상구 낙동대로1318번길 67, 대성공업(주) 3층 (삼락동)<NA>
34위탁급식영업(주)호성식품 금강화학점부산광역시 사상구 낙동대로 1472 (주)금강화학 (삼락동)051-831-3880
35위탁급식영업대우식당부산광역시 사상구 가야대로 21, 2층 (감전동)051-315-8583
36위탁급식영업금성식당부산광역시 사상구 낙동대로1062번길 17, 1층 (감전동)<NA>
37위탁급식영업(주)유니온푸드 국제인쇄부산광역시 사상구 새벽로167번길 129, 국제인쇄(주) 1층 (감전동)051-323-7511
38위탁급식영업동서식당부산광역시 사상구 모덕로67번길 29, 1층 (모라동)<NA>
39위탁급식영업(주)파머스푸드 효심주간보호센터점부산광역시 사상구 사상로 524, 2층 (모라동)051-302-1610
40위탁급식영업KIT학생식당부산광역시 사상구 주례로 45, 1층 (주례동)<NA>
41위탁급식영업위드밀 테크노파크 엄궁점부산광역시 사상구 엄궁로 70-16, 지하1층 (엄궁동)051-542-0200