Overview

Dataset statistics

Number of variables5
Number of observations100
Missing cells7
Missing cells (%)1.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory41.3 B

Variable types

Categorical1
Text4

Dataset

Description수영구에 설치,운영 신고된 집단급식소의 공공데이터로 급식소 명칭, 도로명 주소, 전화번호 등의 항목을 제공하고 있습니다.
Author부산광역시 수영구
URLhttps://www.data.go.kr/data/15026430/fileData.do

Alerts

업종명 has constant value ""Constant
소재지전화 has 7 (7.0%) missing valuesMissing
업소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2024-03-14 14:31:59.549378
Analysis finished2024-03-14 14:32:00.699703
Duration1.15 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size928.0 B
집단급식소
100 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
집단급식소 100
100.0%

Length

2024-03-14T23:32:00.909757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:32:01.201044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 100
100.0%

업소명
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size928.0 B
2024-03-14T23:32:02.142370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length8.32
Min length3

Characters and Unicode

Total characters832
Distinct characters175
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st row고려제강주식회사
2nd row의료법인 선우의료재단 수영한서병원
3rd row부산배화학교
4th row광안초등학교
5th row광남초등학교
ValueCountFrequency (%)
의료법인 5
 
3.9%
어린이집 4
 
3.1%
사회복지법인 2
 
1.6%
고려제강주식회사 1
 
0.8%
동산어린이집 1
 
0.8%
분도유치원 1
 
0.8%
사랑가득 1
 
0.8%
성분도어버이집 1
 
0.8%
천사유치원 1
 
0.8%
주)부산도시가스 1
 
0.8%
Other values (109) 109
85.8%
2024-03-14T23:32:03.326569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
 
4.3%
29
 
3.5%
27
 
3.2%
27
 
3.2%
25
 
3.0%
24
 
2.9%
23
 
2.8%
22
 
2.6%
20
 
2.4%
20
 
2.4%
Other values (165) 579
69.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 792
95.2%
Space Separator 27
 
3.2%
Open Punctuation 4
 
0.5%
Close Punctuation 4
 
0.5%
Other Punctuation 2
 
0.2%
Uppercase Letter 2
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
36
 
4.5%
29
 
3.7%
27
 
3.4%
25
 
3.2%
24
 
3.0%
23
 
2.9%
22
 
2.8%
20
 
2.5%
20
 
2.5%
18
 
2.3%
Other values (157) 548
69.2%
Other Punctuation
ValueCountFrequency (%)
· 1
50.0%
& 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 792
95.2%
Common 38
 
4.6%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
36
 
4.5%
29
 
3.7%
27
 
3.4%
25
 
3.2%
24
 
3.0%
23
 
2.9%
22
 
2.8%
20
 
2.5%
20
 
2.5%
18
 
2.3%
Other values (157) 548
69.2%
Common
ValueCountFrequency (%)
27
71.1%
( 4
 
10.5%
) 4
 
10.5%
· 1
 
2.6%
1 1
 
2.6%
& 1
 
2.6%
Latin
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 792
95.2%
ASCII 39
 
4.7%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
36
 
4.5%
29
 
3.7%
27
 
3.4%
25
 
3.2%
24
 
3.0%
23
 
2.9%
22
 
2.8%
20
 
2.5%
20
 
2.5%
18
 
2.3%
Other values (157) 548
69.2%
ASCII
ValueCountFrequency (%)
27
69.2%
( 4
 
10.3%
) 4
 
10.3%
1 1
 
2.6%
S 1
 
2.6%
& 1
 
2.6%
K 1
 
2.6%
None
ValueCountFrequency (%)
· 1
100.0%
Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size928.0 B
2024-03-14T23:32:04.184105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length41
Mean length30.28
Min length22

Characters and Unicode

Total characters3028
Distinct characters132
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st row부산광역시 수영구 구락로141번길 63, 연수동1 1층 (망미동)
2nd row부산광역시 수영구 수영로 615, 9층 (광안동)
3rd row부산광역시 수영구 연수로310번길 73 (망미동)
4th row부산광역시 수영구 광안로21번가길 35 (광안동)
5th row부산광역시 수영구 광안해변로 115 (남천동)
ValueCountFrequency (%)
수영구 101
 
17.1%
부산광역시 100
 
16.9%
광안동 39
 
6.6%
남천동 23
 
3.9%
망미동 21
 
3.5%
수영로 17
 
2.9%
1층 12
 
2.0%
민락동 12
 
2.0%
2층 6
 
1.0%
3층 5
 
0.8%
Other values (200) 256
43.2%
2024-03-14T23:32:05.300923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
492
 
16.2%
162
 
5.4%
144
 
4.8%
135
 
4.5%
119
 
3.9%
118
 
3.9%
107
 
3.5%
103
 
3.4%
101
 
3.3%
100
 
3.3%
Other values (122) 1447
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1814
59.9%
Space Separator 492
 
16.2%
Decimal Number 444
 
14.7%
Close Punctuation 100
 
3.3%
Open Punctuation 100
 
3.3%
Other Punctuation 66
 
2.2%
Dash Punctuation 7
 
0.2%
Lowercase Letter 3
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
162
 
8.9%
144
 
7.9%
135
 
7.4%
119
 
6.6%
118
 
6.5%
107
 
5.9%
103
 
5.7%
101
 
5.6%
100
 
5.5%
100
 
5.5%
Other values (102) 625
34.5%
Decimal Number
ValueCountFrequency (%)
1 85
19.1%
2 51
11.5%
5 51
11.5%
3 49
11.0%
7 48
10.8%
4 42
9.5%
0 36
8.1%
6 30
 
6.8%
9 27
 
6.1%
8 25
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 64
97.0%
& 1
 
1.5%
· 1
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
c 2
66.7%
k 1
33.3%
Space Separator
ValueCountFrequency (%)
492
100.0%
Close Punctuation
ValueCountFrequency (%)
) 100
100.0%
Open Punctuation
ValueCountFrequency (%)
( 100
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1814
59.9%
Common 1209
39.9%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
162
 
8.9%
144
 
7.9%
135
 
7.4%
119
 
6.6%
118
 
6.5%
107
 
5.9%
103
 
5.7%
101
 
5.6%
100
 
5.5%
100
 
5.5%
Other values (102) 625
34.5%
Common
ValueCountFrequency (%)
492
40.7%
) 100
 
8.3%
( 100
 
8.3%
1 85
 
7.0%
, 64
 
5.3%
2 51
 
4.2%
5 51
 
4.2%
3 49
 
4.1%
7 48
 
4.0%
4 42
 
3.5%
Other values (7) 127
 
10.5%
Latin
ValueCountFrequency (%)
B 2
40.0%
c 2
40.0%
k 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1814
59.9%
ASCII 1213
40.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
492
40.6%
) 100
 
8.2%
( 100
 
8.2%
1 85
 
7.0%
, 64
 
5.3%
2 51
 
4.2%
5 51
 
4.2%
3 49
 
4.0%
7 48
 
4.0%
4 42
 
3.5%
Other values (9) 131
 
10.8%
Hangul
ValueCountFrequency (%)
162
 
8.9%
144
 
7.9%
135
 
7.4%
119
 
6.6%
118
 
6.5%
107
 
5.9%
103
 
5.7%
101
 
5.6%
100
 
5.5%
100
 
5.5%
Other values (102) 625
34.5%
None
ValueCountFrequency (%)
· 1
100.0%
Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size928.0 B
2024-03-14T23:32:06.499686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length34
Mean length22.39
Min length17

Characters and Unicode

Total characters2239
Distinct characters122
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)96.0%

Sample

1st row부산광역시 수영구 망미동 496-4 KISWIRE CENTER
2nd row부산광역시 수영구 광안동 491-10
3rd row부산광역시 수영구 망미동 787
4th row부산광역시 수영구 광안동 154-0
5th row부산광역시 수영구 남천동 147
ValueCountFrequency (%)
수영구 101
22.6%
부산광역시 100
22.4%
광안동 40
 
8.9%
남천동 23
 
5.1%
망미동 22
 
4.9%
민락동 12
 
2.7%
수영동 5
 
1.1%
3
 
0.7%
t통b반 3
 
0.7%
1077-12 2
 
0.4%
Other values (133) 136
30.4%
2024-03-14T23:32:07.975987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
447
20.0%
142
 
6.3%
110
 
4.9%
107
 
4.8%
107
 
4.8%
106
 
4.7%
104
 
4.6%
101
 
4.5%
100
 
4.5%
100
 
4.5%
Other values (112) 815
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1271
56.8%
Space Separator 447
 
20.0%
Decimal Number 415
 
18.5%
Dash Punctuation 81
 
3.6%
Uppercase Letter 19
 
0.8%
Lowercase Letter 3
 
0.1%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
142
11.2%
110
8.7%
107
8.4%
107
8.4%
106
8.3%
104
8.2%
101
7.9%
100
 
7.9%
100
 
7.9%
42
 
3.3%
Other values (85) 252
19.8%
Decimal Number
ValueCountFrequency (%)
1 75
18.1%
7 56
13.5%
2 48
11.6%
4 46
11.1%
5 42
10.1%
3 35
8.4%
9 32
7.7%
0 29
 
7.0%
8 26
 
6.3%
6 26
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
T 4
21.1%
E 3
15.8%
B 3
15.8%
R 2
10.5%
I 2
10.5%
W 1
 
5.3%
K 1
 
5.3%
S 1
 
5.3%
C 1
 
5.3%
N 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
& 1
33.3%
· 1
33.3%
, 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
c 2
66.7%
k 1
33.3%
Space Separator
ValueCountFrequency (%)
447
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1271
56.8%
Common 946
42.3%
Latin 22
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
142
11.2%
110
8.7%
107
8.4%
107
8.4%
106
8.3%
104
8.2%
101
7.9%
100
 
7.9%
100
 
7.9%
42
 
3.3%
Other values (85) 252
19.8%
Common
ValueCountFrequency (%)
447
47.3%
- 81
 
8.6%
1 75
 
7.9%
7 56
 
5.9%
2 48
 
5.1%
4 46
 
4.9%
5 42
 
4.4%
3 35
 
3.7%
9 32
 
3.4%
0 29
 
3.1%
Other values (5) 55
 
5.8%
Latin
ValueCountFrequency (%)
T 4
18.2%
E 3
13.6%
B 3
13.6%
R 2
9.1%
I 2
9.1%
c 2
9.1%
W 1
 
4.5%
K 1
 
4.5%
k 1
 
4.5%
S 1
 
4.5%
Other values (2) 2
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1271
56.8%
ASCII 967
43.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
447
46.2%
- 81
 
8.4%
1 75
 
7.8%
7 56
 
5.8%
2 48
 
5.0%
4 46
 
4.8%
5 42
 
4.3%
3 35
 
3.6%
9 32
 
3.3%
0 29
 
3.0%
Other values (16) 76
 
7.9%
Hangul
ValueCountFrequency (%)
142
11.2%
110
8.7%
107
8.4%
107
8.4%
106
8.3%
104
8.2%
101
7.9%
100
 
7.9%
100
 
7.9%
42
 
3.3%
Other values (85) 252
19.8%
None
ValueCountFrequency (%)
· 1
100.0%

소재지전화
Text

MISSING 

Distinct93
Distinct (%)100.0%
Missing7
Missing (%)7.0%
Memory size928.0 B
2024-03-14T23:32:08.983564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1116
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

Unique93 ?
Unique (%)100.0%

Sample

1st row051-760-1707
2nd row051-756-0081
3rd row051-760-2500
4th row051-790-2200
5th row051-627-6547
ValueCountFrequency (%)
051-712-3600 1
 
1.1%
051-752-2982 1
 
1.1%
051-625-0709 1
 
1.1%
051-628-0252 1
 
1.1%
051-936-2121 1
 
1.1%
051-792-2500 1
 
1.1%
051-751-0260 1
 
1.1%
051-757-1505 1
 
1.1%
051-755-8555 1
 
1.1%
051-753-3579 1
 
1.1%
Other values (83) 83
89.2%
2024-03-14T23:32:10.228772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 196
17.6%
0 193
17.3%
- 186
16.7%
1 152
13.6%
7 122
10.9%
2 71
 
6.4%
6 58
 
5.2%
9 50
 
4.5%
3 37
 
3.3%
8 32
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 930
83.3%
Dash Punctuation 186
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 196
21.1%
0 193
20.8%
1 152
16.3%
7 122
13.1%
2 71
 
7.6%
6 58
 
6.2%
9 50
 
5.4%
3 37
 
4.0%
8 32
 
3.4%
4 19
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 186
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1116
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 196
17.6%
0 193
17.3%
- 186
16.7%
1 152
13.6%
7 122
10.9%
2 71
 
6.4%
6 58
 
5.2%
9 50
 
4.5%
3 37
 
3.3%
8 32
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1116
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 196
17.6%
0 193
17.3%
- 186
16.7%
1 152
13.6%
7 122
10.9%
2 71
 
6.4%
6 58
 
5.2%
9 50
 
4.5%
3 37
 
3.3%
8 32
 
2.9%

Correlations

2024-03-14T23:32:10.387331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지(도로명)소재지(지번)소재지전화
업소명1.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.000
소재지(지번)1.0001.0001.0001.000
소재지전화1.0001.0001.0001.000

Missing values

2024-03-14T23:32:00.254039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T23:32:00.574029image/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)소재지(지번)소재지전화
0집단급식소고려제강주식회사부산광역시 수영구 구락로141번길 63, 연수동1 1층 (망미동)부산광역시 수영구 망미동 496-4 KISWIRE CENTER051-760-1707
1집단급식소의료법인 선우의료재단 수영한서병원부산광역시 수영구 수영로 615, 9층 (광안동)부산광역시 수영구 광안동 491-10051-756-0081
2집단급식소부산배화학교부산광역시 수영구 연수로310번길 73 (망미동)부산광역시 수영구 망미동 787051-760-2500
3집단급식소광안초등학교부산광역시 수영구 광안로21번가길 35 (광안동)부산광역시 수영구 광안동 154-0051-790-2200
4집단급식소광남초등학교부산광역시 수영구 광안해변로 115 (남천동)부산광역시 수영구 남천동 147051-627-6547
5집단급식소남천초등학교부산광역시 수영구 남천서로 14 (남천동)부산광역시 수영구 남천동 69-27051-610-3770
6집단급식소망미초등학교부산광역시 수영구 수미로35번길 27 (망미동)부산광역시 수영구 망미동 268-2051-754-0031
7집단급식소민락초등학교부산광역시 수영구 광남로257번길 12 (민락동)부산광역시 수영구 민락동 12-1051-753-9791
8집단급식소민안초등학교부산광역시 수영구 감포로38번길 33 (민락동)부산광역시 수영구 민락동 551-12051-750-2691
9집단급식소배산초등학교부산광역시 수영구 망미배산로48번길 85-15 (망미동)부산광역시 수영구 망미동 920051-759-0259
업종명업소명소재지(도로명)소재지(지번)소재지전화
90집단급식소광안노인복지관부산광역시 수영구 장대골로 75-8, 1층 (광안동)부산광역시 수영구 광안동 1148-3051-715-6099
91집단급식소한나병원부산광역시 수영구 황령대로481번길 7, 남천동 한나산부인과 (남천동)부산광역시 수영구 남천동 304 남천동 한나산부인과051-625-2300
92집단급식소좋은강안병원(암센터)부산광역시 수영구 수영로 480, 씨드이 빌딩 지하1층 (남천동)부산광역시 수영구 남천동 36-7 씨드이 빌딩051-610-9170
93집단급식소박원욱병원부산광역시 수영구 광안로 4, 광안동에스케이뷰 106동 501호 (광안동)부산광역시 수영구 광안동 473-2 광안동에스케이뷰<NA>
94집단급식소광안자이 어린이집부산광역시 수영구 호암로29번길 50, 202동 1층 (광안동, 광안자이)부산광역시 수영구 광안동 1257 광안자이051-791-2553
95집단급식소하니데이케어센터부산광역시 수영구 광안해변로278번길 42, 오션브릿지 B동 2층 B201호 (민락동)부산광역시 수영구 민락동 181-154 오션브릿지<NA>
96집단급식소코스트코코리아 부산점부산광역시 수영구 구락로 137, 코스트코홀세일 부산점 1층 (망미동)부산광역시 수영구 망미동 195-1 코스트코홀세일 부산점<NA>
97집단급식소남부소방서부산광역시 수영구 광일로 64, 남부소방서 지하1층 (광안동)부산광역시 수영구 광안동 517-5 남부소방서051-760-4800
98집단급식소남천더샵어린이집부산광역시 수영구 수영로 389, 105동 1층 (남천동, 더샵 남천프레스티지)부산광역시 수영구 남천동 599 더샵 남천프레스티지051-988-1001
99집단급식소남천자이어린이집부산광역시 수영구 남천동로 46, 999동 1호 (남천동)부산광역시 수영구 남천동 148-28051-710-7953