Overview

Dataset statistics

Number of variables5
Number of observations181
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.2 KiB
Average record size in memory40.7 B

Variable types

Categorical1
Text4

Dataset

Description부산광역시 북구 관내에 존재하는 집단급식소의 현황 데이터로 시설명, 소재지 도로명주소, 지번주소, 전화번호등의 항목을 제공합니다.
Author부산광역시 북구
URLhttps://www.data.go.kr/data/3070105/fileData.do

Alerts

업종명 has constant value ""Constant

Reproduction

Analysis started2023-12-12 03:43:38.488792
Analysis finished2023-12-12 03:43:39.147000
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
집단급식소
181 

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 181
100.0%

Length

2023-12-12T12:43:39.249964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:43:39.416268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 181
100.0%
Distinct180
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T12:43:39.712198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length8.2872928
Min length5

Characters and Unicode

Total characters1500
Distinct characters239
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

Unique179 ?
Unique (%)98.9%

Sample

1st row화정종합복지관
2nd row구포성심병원
3rd row구포초등학교
4th row구남초등학교
5th row대천리초등학교
ValueCountFrequency (%)
의료법인인당의료재단 2
 
1.0%
화명일신기독병원 2
 
1.0%
의료법인 2
 
1.0%
부민병원 2
 
1.0%
노벨어린이집 1
 
0.5%
원효정사유치원 1
 
0.5%
해뜨락요양병원 1
 
0.5%
롯데캐슬카이저유치원 1
 
0.5%
21세기어린이집 1
 
0.5%
덕천요양병원 1
 
0.5%
Other values (185) 185
93.0%
2023-12-12T12:43:40.311740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
73
 
4.9%
62
 
4.1%
60
 
4.0%
44
 
2.9%
43
 
2.9%
42
 
2.8%
42
 
2.8%
42
 
2.8%
33
 
2.2%
33
 
2.2%
Other values (229) 1026
68.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1453
96.9%
Space Separator 18
 
1.2%
Open Punctuation 7
 
0.5%
Close Punctuation 7
 
0.5%
Uppercase Letter 7
 
0.5%
Decimal Number 6
 
0.4%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
73
 
5.0%
62
 
4.3%
60
 
4.1%
44
 
3.0%
43
 
3.0%
42
 
2.9%
42
 
2.9%
42
 
2.9%
33
 
2.3%
33
 
2.3%
Other values (215) 979
67.4%
Uppercase Letter
ValueCountFrequency (%)
N 1
14.3%
A 1
14.3%
C 1
14.3%
M 1
14.3%
Y 1
14.3%
T 1
14.3%
G 1
14.3%
Decimal Number
ValueCountFrequency (%)
1 4
66.7%
2 2
33.3%
Other Punctuation
ValueCountFrequency (%)
· 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1453
96.9%
Common 40
 
2.7%
Latin 7
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
73
 
5.0%
62
 
4.3%
60
 
4.1%
44
 
3.0%
43
 
3.0%
42
 
2.9%
42
 
2.9%
42
 
2.9%
33
 
2.3%
33
 
2.3%
Other values (215) 979
67.4%
Common
ValueCountFrequency (%)
18
45.0%
( 7
 
17.5%
) 7
 
17.5%
1 4
 
10.0%
2 2
 
5.0%
· 1
 
2.5%
. 1
 
2.5%
Latin
ValueCountFrequency (%)
N 1
14.3%
A 1
14.3%
C 1
14.3%
M 1
14.3%
Y 1
14.3%
T 1
14.3%
G 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1453
96.9%
ASCII 46
 
3.1%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
73
 
5.0%
62
 
4.3%
60
 
4.1%
44
 
3.0%
43
 
3.0%
42
 
2.9%
42
 
2.9%
42
 
2.9%
33
 
2.3%
33
 
2.3%
Other values (215) 979
67.4%
ASCII
ValueCountFrequency (%)
18
39.1%
( 7
 
15.2%
) 7
 
15.2%
1 4
 
8.7%
2 2
 
4.3%
N 1
 
2.2%
A 1
 
2.2%
C 1
 
2.2%
M 1
 
2.2%
Y 1
 
2.2%
Other values (3) 3
 
6.5%
None
ValueCountFrequency (%)
· 1
100.0%
Distinct170
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T12:43:40.729143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length42
Mean length27.751381
Min length21

Characters and Unicode

Total characters5023
Distinct characters179
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

Unique159 ?
Unique (%)87.8%

Sample

1st row부산광역시 북구 효열로 76 (금곡동)
2nd row부산광역시 북구 낙동대로 1786 (구포동)
3rd row부산광역시 북구 백양대로1124번길 20 (구포동)
4th row부산광역시 북구 구남로14번가길 23 (구포동)
5th row부산광역시 북구 산성로 87-10 (화명동)
ValueCountFrequency (%)
부산광역시 181
18.2%
북구 181
18.2%
화명동 52
 
5.2%
만덕동 35
 
3.5%
구포동 35
 
3.5%
덕천동 31
 
3.1%
금곡동 25
 
2.5%
금곡대로 17
 
1.7%
효열로 11
 
1.1%
화명대로 10
 
1.0%
Other values (268) 416
41.9%
2023-12-12T12:43:41.363662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
814
 
16.2%
222
 
4.4%
206
 
4.1%
205
 
4.1%
194
 
3.9%
1 187
 
3.7%
186
 
3.7%
185
 
3.7%
( 182
 
3.6%
) 182
 
3.6%
Other values (169) 2460
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2994
59.6%
Space Separator 814
 
16.2%
Decimal Number 753
 
15.0%
Open Punctuation 182
 
3.6%
Close Punctuation 182
 
3.6%
Other Punctuation 69
 
1.4%
Dash Punctuation 23
 
0.5%
Uppercase Letter 5
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
222
 
7.4%
206
 
6.9%
205
 
6.8%
194
 
6.5%
186
 
6.2%
185
 
6.2%
181
 
6.0%
181
 
6.0%
174
 
5.8%
113
 
3.8%
Other values (148) 1147
38.3%
Decimal Number
ValueCountFrequency (%)
1 187
24.8%
2 102
13.5%
0 70
 
9.3%
3 67
 
8.9%
4 67
 
8.9%
5 64
 
8.5%
6 64
 
8.5%
8 55
 
7.3%
7 41
 
5.4%
9 36
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
K 1
20.0%
T 1
20.0%
H 1
20.0%
A 1
20.0%
L 1
20.0%
Space Separator
ValueCountFrequency (%)
814
100.0%
Open Punctuation
ValueCountFrequency (%)
( 182
100.0%
Close Punctuation
ValueCountFrequency (%)
) 182
100.0%
Other Punctuation
ValueCountFrequency (%)
, 69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Lowercase Letter
ValueCountFrequency (%)
o 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2994
59.6%
Common 2023
40.3%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
222
 
7.4%
206
 
6.9%
205
 
6.8%
194
 
6.5%
186
 
6.2%
185
 
6.2%
181
 
6.0%
181
 
6.0%
174
 
5.8%
113
 
3.8%
Other values (148) 1147
38.3%
Common
ValueCountFrequency (%)
814
40.2%
1 187
 
9.2%
( 182
 
9.0%
) 182
 
9.0%
2 102
 
5.0%
0 70
 
3.5%
, 69
 
3.4%
3 67
 
3.3%
4 67
 
3.3%
5 64
 
3.2%
Other values (5) 219
 
10.8%
Latin
ValueCountFrequency (%)
K 1
16.7%
T 1
16.7%
H 1
16.7%
A 1
16.7%
L 1
16.7%
o 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2994
59.6%
ASCII 2029
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
814
40.1%
1 187
 
9.2%
( 182
 
9.0%
) 182
 
9.0%
2 102
 
5.0%
0 70
 
3.4%
, 69
 
3.4%
3 67
 
3.3%
4 67
 
3.3%
5 64
 
3.2%
Other values (11) 225
 
11.1%
Hangul
ValueCountFrequency (%)
222
 
7.4%
206
 
6.9%
205
 
6.8%
194
 
6.5%
186
 
6.2%
185
 
6.2%
181
 
6.0%
181
 
6.0%
174
 
5.8%
113
 
3.8%
Other values (148) 1147
38.3%
Distinct160
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T12:43:41.884977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length17.651934
Min length14

Characters and Unicode

Total characters3195
Distinct characters28
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique143 ?
Unique (%)79.0%

Sample

1st row부산광역시 북구 금곡동 1108
2nd row부산광역시 북구 구포동 146-3
3rd row부산광역시 북구 구포동 725
4th row부산광역시 북구 구포동 1076-1
5th row부산광역시 북구 화명동 507
ValueCountFrequency (%)
부산광역시 181
25.0%
북구 181
25.0%
화명동 52
 
7.2%
구포동 37
 
5.1%
만덕동 35
 
4.8%
덕천동 31
 
4.3%
금곡동 26
 
3.6%
2324 4
 
0.6%
1170-1 3
 
0.4%
1255-2 3
 
0.4%
Other values (157) 171
23.6%
2023-12-12T12:43:42.695435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
543
17.0%
218
 
6.8%
181
 
5.7%
181
 
5.7%
181
 
5.7%
181
 
5.7%
181
 
5.7%
181
 
5.7%
181
 
5.7%
1 158
 
4.9%
Other values (18) 1009
31.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1810
56.7%
Decimal Number 728
22.8%
Space Separator 543
 
17.0%
Dash Punctuation 114
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
218
12.0%
181
10.0%
181
10.0%
181
10.0%
181
10.0%
181
10.0%
181
10.0%
181
10.0%
66
 
3.6%
52
 
2.9%
Other values (6) 207
11.4%
Decimal Number
ValueCountFrequency (%)
1 158
21.7%
2 111
15.2%
3 80
11.0%
9 62
 
8.5%
5 61
 
8.4%
8 60
 
8.2%
7 56
 
7.7%
4 53
 
7.3%
0 51
 
7.0%
6 36
 
4.9%
Space Separator
ValueCountFrequency (%)
543
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1810
56.7%
Common 1385
43.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
218
12.0%
181
10.0%
181
10.0%
181
10.0%
181
10.0%
181
10.0%
181
10.0%
181
10.0%
66
 
3.6%
52
 
2.9%
Other values (6) 207
11.4%
Common
ValueCountFrequency (%)
543
39.2%
1 158
 
11.4%
- 114
 
8.2%
2 111
 
8.0%
3 80
 
5.8%
9 62
 
4.5%
5 61
 
4.4%
8 60
 
4.3%
7 56
 
4.0%
4 53
 
3.8%
Other values (2) 87
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1810
56.7%
ASCII 1385
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
543
39.2%
1 158
 
11.4%
- 114
 
8.2%
2 111
 
8.0%
3 80
 
5.8%
9 62
 
4.5%
5 61
 
4.4%
8 60
 
4.3%
7 56
 
4.0%
4 53
 
3.8%
Other values (2) 87
 
6.3%
Hangul
ValueCountFrequency (%)
218
12.0%
181
10.0%
181
10.0%
181
10.0%
181
10.0%
181
10.0%
181
10.0%
181
10.0%
66
 
3.6%
52
 
2.9%
Other values (6) 207
11.4%
Distinct174
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T12:43:43.044862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12
Min length9

Characters and Unicode

Total characters2172
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique167 ?
Unique (%)92.3%

Sample

1st row051-362-0111
2nd row051-330-2049
3rd row051-330-5972
4th row051-336-6606
5th row051-366-2782
ValueCountFrequency (%)
051-343-5200 2
 
1.1%
051-333-7655 2
 
1.1%
051-333-8600 2
 
1.1%
051-332-7800 2
 
1.1%
051-330-3000 2
 
1.1%
051-334-0019 2
 
1.1%
051-330-3790 2
 
1.1%
051-333-8135 1
 
0.6%
051-3430-567 1
 
0.6%
051-332-5060 1
 
0.6%
Other values (164) 164
90.6%
2023-12-12T12:43:43.628483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 372
17.1%
- 361
16.6%
3 356
16.4%
1 281
12.9%
5 271
12.5%
6 131
 
6.0%
7 106
 
4.9%
2 87
 
4.0%
4 81
 
3.7%
9 64
 
2.9%
Other values (2) 62
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1809
83.3%
Dash Punctuation 361
 
16.6%
Space Separator 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 372
20.6%
3 356
19.7%
1 281
15.5%
5 271
15.0%
6 131
 
7.2%
7 106
 
5.9%
2 87
 
4.8%
4 81
 
4.5%
9 64
 
3.5%
8 60
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 361
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2172
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 372
17.1%
- 361
16.6%
3 356
16.4%
1 281
12.9%
5 271
12.5%
6 131
 
6.0%
7 106
 
4.9%
2 87
 
4.0%
4 81
 
3.7%
9 64
 
2.9%
Other values (2) 62
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2172
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 372
17.1%
- 361
16.6%
3 356
16.4%
1 281
12.9%
5 271
12.5%
6 131
 
6.0%
7 106
 
4.9%
2 87
 
4.0%
4 81
 
3.7%
9 64
 
2.9%
Other values (2) 62
 
2.9%

Missing values

2023-12-12T12:43:38.912634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:43:39.084436image/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)전화번호
0집단급식소화정종합복지관부산광역시 북구 효열로 76 (금곡동)부산광역시 북구 금곡동 1108051-362-0111
1집단급식소구포성심병원부산광역시 북구 낙동대로 1786 (구포동)부산광역시 북구 구포동 146-3051-330-2049
2집단급식소구포초등학교부산광역시 북구 백양대로1124번길 20 (구포동)부산광역시 북구 구포동 725051-330-5972
3집단급식소구남초등학교부산광역시 북구 구남로14번가길 23 (구포동)부산광역시 북구 구포동 1076-1051-336-6606
4집단급식소대천리초등학교부산광역시 북구 산성로 87-10 (화명동)부산광역시 북구 화명동 507051-366-2782
5집단급식소덕성초등학교부산광역시 북구 만덕대로39번길 45 (덕천동)부산광역시 북구 덕천동 335-1051-330-3674
6집단급식소명덕초등학교부산광역시 북구 금곡대로186번길 43 (화명동)부산광역시 북구 화명동 2327051-330-6899
7집단급식소백산초등학교부산광역시 북구 덕천로259번길 23 (만덕동)부산광역시 북구 만덕동 923051-336-7753
8집단급식소화명초등학교부산광역시 북구 대천천길 65 (화명동)부산광역시 북구 화명동 261-1051-330-3571
9집단급식소금곡초등학교부산광역시 북구 효열로 174 (금곡동)부산광역시 북구 금곡동 99-1051-330-5588
업종명업소명소재지(도로명)소재지(지번)전화번호
171집단급식소서울우리요양병원부산광역시 북구 화명대로 42, 우리메디컬센터 4층 (화명동)부산광역시 북구 화명동 2277-2051-361-3500
172집단급식소남산정종합사회복지관부산광역시 북구 만덕대로155번길 86-9 (덕천동, 덕천2지구도개공아파트)부산광역시 북구 덕천동 814-3051-342-8206
173집단급식소체담한방병원부산광역시 북구 만덕대로 23, 폴라렉스 11,12층 (덕천동)부산광역시 북구 덕천동 398-3051-753-1500
174집단급식소빛고운어린이집부산광역시 북구 화명신도시로 219, 주민복지관동 1층 (금곡동, 화명뜨란채아파트)부산광역시 북구 금곡동 1895051-363-5559
175집단급식소노벨어린이집부산광역시 북구 만덕3로23번길 8 (만덕동)부산광역시 북구 만덕동 757-57051-331-1959
176집단급식소백산유치원부산광역시 북구 만덕3로48번다길 21, 3층 (만덕동)부산광역시 북구 만덕동 912-2051-341-2216
177집단급식소화명유림어린이집부산광역시 북구 화명대로 110, 보육시설동 (화명동, 화명유림아파트)부산광역시 북구 화명동 749051-363-9933
178집단급식소금곡나래유치원부산광역시 북구 효열로220번길 35 (금곡동)부산광역시 북구 금곡동 57-11051-790-9500
179집단급식소화명꿈유치원부산광역시 북구 금곡대로 359, 화명꿈유치원 4층 (금곡동)부산광역시 북구 금곡동 1899051-790-3200
180집단급식소부산광역시시각장애인복지관부산광역시 북구 시랑로132번길 38, 부산시각장애인복지관 에이동 지하층 (구포동)부산광역시 북구 구포동 1254-3051-341-0017