Overview

Dataset statistics

Number of variables3
Number of observations1337
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.5 KiB
Average record size in memory24.1 B

Variable types

Text2
Categorical1

Dataset

Description부산광역시해운대구_소독의무시설현황_20200630
Author부산광역시 해운대구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3075595

Reproduction

Analysis started2023-12-10 16:28:47.942285
Analysis finished2023-12-10 16:28:48.666558
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대상시설
Text

Distinct1330
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
2023-12-11T01:28:48.907256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length37
Mean length9.3186238
Min length1

Characters and Unicode

Total characters12459
Distinct characters638
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1323 ?
Unique (%)99.0%

Sample

1st row라비드아틀란호텔
2nd row라마다 앙코르 해운대 호텔
3rd row소사이어티에스 호텔
4th row선트리 호텔
5th row휘겔리
ValueCountFrequency (%)
급식실 44
 
2.2%
호텔 35
 
1.7%
해운대 28
 
1.4%
포함 19
 
0.9%
해운대점 18
 
0.9%
hotel 16
 
0.8%
모텔 11
 
0.5%
주상복합 10
 
0.5%
부산 9
 
0.4%
스타벅스 7
 
0.3%
Other values (1678) 1821
90.2%
2023-12-11T01:28:49.413038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
711
 
5.7%
) 362
 
2.9%
( 362
 
2.9%
스 305
 
2.4%
대 278
 
2.2%
이 268
 
2.2%
텔 242
 
1.9%
운 228
 
1.8%
해 221
 
1.8%
호 182
 
1.5%
Other values (628) 9300
74.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9926
79.7%
Space Separator 711
 
5.7%
Uppercase Letter 534
 
4.3%
Close Punctuation 363
 
2.9%
Open Punctuation 363
 
2.9%
Decimal Number 269
 
2.2%
Lowercase Letter 174
 
1.4%
Other Punctuation 75
 
0.6%
Other Symbol 34
 
0.3%
Dash Punctuation 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 305
 
3.1%
대 278
 
2.8%
이 268
 
2.7%
텔 242
 
2.4%
운 228
 
2.3%
해 221
 
2.2%
호 182
 
1.8%
센 140
 
1.4%
산 137
 
1.4%
아 136
 
1.4%
Other values (554) 7789
78.5%
Uppercase Letter
ValueCountFrequency (%)
T 46
 
8.6%
L 45
 
8.4%
E 45
 
8.4%
O 40
 
7.5%
S 37
 
6.9%
N 35
 
6.6%
H 34
 
6.4%
C 29
 
5.4%
A 29
 
5.4%
I 24
 
4.5%
Other values (15) 170
31.8%
Lowercase Letter
ValueCountFrequency (%)
o 25
14.4%
e 23
13.2%
n 15
8.6%
l 14
 
8.0%
a 13
 
7.5%
t 12
 
6.9%
i 12
 
6.9%
m 9
 
5.2%
s 8
 
4.6%
r 8
 
4.6%
Other values (13) 35
20.1%
Decimal Number
ValueCountFrequency (%)
2 71
26.4%
1 58
21.6%
3 47
17.5%
0 22
 
8.2%
4 20
 
7.4%
9 14
 
5.2%
7 12
 
4.5%
5 11
 
4.1%
6 10
 
3.7%
8 4
 
1.5%
Other Punctuation
ValueCountFrequency (%)
, 51
68.0%
. 11
 
14.7%
& 7
 
9.3%
※ 3
 
4.0%
! 1
 
1.3%
/ 1
 
1.3%
# 1
 
1.3%
Close Punctuation
ValueCountFrequency (%)
) 362
99.7%
] 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 362
99.7%
[ 1
 
0.3%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Space Separator
ValueCountFrequency (%)
711
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9960
79.9%
Common 1789
 
14.4%
Latin 710
 
5.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 305
 
3.1%
대 278
 
2.8%
이 268
 
2.7%
텔 242
 
2.4%
운 228
 
2.3%
해 221
 
2.2%
호 182
 
1.8%
센 140
 
1.4%
산 137
 
1.4%
아 136
 
1.4%
Other values (555) 7823
78.5%
Latin
ValueCountFrequency (%)
T 46
 
6.5%
L 45
 
6.3%
E 45
 
6.3%
O 40
 
5.6%
S 37
 
5.2%
N 35
 
4.9%
H 34
 
4.8%
C 29
 
4.1%
A 29
 
4.1%
o 25
 
3.5%
Other values (40) 345
48.6%
Common
ValueCountFrequency (%)
711
39.7%
) 362
20.2%
( 362
20.2%
2 71
 
4.0%
1 58
 
3.2%
, 51
 
2.9%
3 47
 
2.6%
0 22
 
1.2%
4 20
 
1.1%
9 14
 
0.8%
Other values (13) 71
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9926
79.7%
ASCII 2494
 
20.0%
None 34
 
0.3%
Punctuation 3
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
711
28.5%
) 362
14.5%
( 362
14.5%
2 71
 
2.8%
1 58
 
2.3%
, 51
 
2.0%
3 47
 
1.9%
T 46
 
1.8%
L 45
 
1.8%
E 45
 
1.8%
Other values (60) 696
27.9%
Hangul
ValueCountFrequency (%)
스 305
 
3.1%
대 278
 
2.8%
이 268
 
2.7%
텔 242
 
2.4%
운 228
 
2.3%
해 221
 
2.2%
호 182
 
1.8%
센 140
 
1.4%
산 137
 
1.4%
아 136
 
1.4%
Other values (554) 7789
78.5%
None
ValueCountFrequency (%)
㈜ 34
100.0%
Punctuation
ValueCountFrequency (%)
※ 3
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%

주소
Text

Distinct1316
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
2023-12-11T01:28:49.714567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length35
Mean length18.444278
Min length6

Characters and Unicode

Total characters24660
Distinct characters305
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1296 ?
Unique (%)96.9%

Sample

1st row 구남로 37 (중동)
2nd row 구남로 9 (우동)
3rd row 구남로12번길 37(우동)
4th row 달맞이길 209 (중동)
5th row 달맞이길62번가길 37, 6층
ValueCountFrequency (%)
우동 392
 
8.5%
중동 232
 
5.0%
좌동 221
 
4.8%
재송동 105
 
2.3%
해운대해변로 92
 
2.0%
79
 
1.7%
해운대로 73
 
1.6%
송정동 71
 
1.5%
반여동 60
 
1.3%
좌동순환로 38
 
0.8%
Other values (1526) 3247
70.4%
2023-12-11T01:28:50.239667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3549
 
14.4%
1 1584
 
6.4%
동 1465
 
5.9%
2 1022
 
4.1%
( 948
 
3.8%
) 947
 
3.8%
로 945
 
3.8%
3 707
 
2.9%
, 694
 
2.8%
4 603
 
2.4%
Other values (295) 12196
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11463
46.5%
Decimal Number 6521
26.4%
Space Separator 3549
 
14.4%
Open Punctuation 948
 
3.8%
Close Punctuation 947
 
3.8%
Other Punctuation 713
 
2.9%
Dash Punctuation 393
 
1.6%
Math Symbol 60
 
0.2%
Uppercase Letter 58
 
0.2%
Lowercase Letter 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1465
 
12.8%
로 945
 
8.2%
해 530
 
4.6%
길 492
 
4.3%
우 459
 
4.0%
대 454
 
4.0%
번 436
 
3.8%
운 399
 
3.5%
층 390
 
3.4%
송 386
 
3.4%
Other values (264) 5507
48.0%
Decimal Number
ValueCountFrequency (%)
1 1584
24.3%
2 1022
15.7%
3 707
10.8%
4 603
 
9.2%
0 494
 
7.6%
6 463
 
7.1%
5 455
 
7.0%
7 433
 
6.6%
9 391
 
6.0%
8 369
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
A 14
24.1%
B 12
20.7%
C 11
19.0%
E 8
13.8%
P 5
 
8.6%
N 4
 
6.9%
I 1
 
1.7%
K 1
 
1.7%
J 1
 
1.7%
L 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 694
97.3%
. 9
 
1.3%
@ 8
 
1.1%
· 2
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
e 7
87.5%
s 1
 
12.5%
Space Separator
ValueCountFrequency (%)
3549
100.0%
Open Punctuation
ValueCountFrequency (%)
( 948
100.0%
Close Punctuation
ValueCountFrequency (%)
) 947
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 393
100.0%
Math Symbol
ValueCountFrequency (%)
~ 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13131
53.2%
Hangul 11463
46.5%
Latin 66
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1465
 
12.8%
로 945
 
8.2%
해 530
 
4.6%
길 492
 
4.3%
우 459
 
4.0%
대 454
 
4.0%
번 436
 
3.8%
운 399
 
3.5%
층 390
 
3.4%
송 386
 
3.4%
Other values (264) 5507
48.0%
Common
ValueCountFrequency (%)
3549
27.0%
1 1584
12.1%
2 1022
 
7.8%
( 948
 
7.2%
) 947
 
7.2%
3 707
 
5.4%
, 694
 
5.3%
4 603
 
4.6%
0 494
 
3.8%
6 463
 
3.5%
Other values (9) 2120
16.1%
Latin
ValueCountFrequency (%)
A 14
21.2%
B 12
18.2%
C 11
16.7%
E 8
12.1%
e 7
10.6%
P 5
 
7.6%
N 4
 
6.1%
I 1
 
1.5%
s 1
 
1.5%
K 1
 
1.5%
Other values (2) 2
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13195
53.5%
Hangul 11463
46.5%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3549
26.9%
1 1584
12.0%
2 1022
 
7.7%
( 948
 
7.2%
) 947
 
7.2%
3 707
 
5.4%
, 694
 
5.3%
4 603
 
4.6%
0 494
 
3.7%
6 463
 
3.5%
Other values (20) 2184
16.6%
Hangul
ValueCountFrequency (%)
동 1465
 
12.8%
로 945
 
8.2%
해 530
 
4.6%
길 492
 
4.3%
우 459
 
4.0%
대 454
 
4.0%
번 436
 
3.8%
운 399
 
3.5%
층 390
 
3.4%
송 386
 
3.4%
Other values (264) 5507
48.0%
None
ValueCountFrequency (%)
· 2
100.0%

유형
Categorical

Distinct12
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
2식품접객업소
379 
11대형건축물
312 
1숙박업소
229 
13공동주택
117 
12어린이집 및유치원
97 
Other values (7)
203 

Length

Max length11
Median length7
Mean length6.4106208
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1숙박업소
2nd row1숙박업소
3rd row1숙박업소
4th row1숙박업소
5th row1숙박업소

Common Values

ValueCountFrequency (%)
2식품접객업소 379
28.3%
11대형건축물 312
23.3%
1숙박업소 229
17.1%
13공동주택 117
 
8.8%
12어린이집 및유치원 97
 
7.3%
9학교 70
 
5.2%
5병원 38
 
2.8%
3교통시설 30
 
2.2%
6집단급식소 29
 
2.2%
4대형유통 28
 
2.1%
Other values (2) 8
 
0.6%

Length

2023-12-11T01:28:50.396579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2식품접객업소 379
26.4%
11대형건축물 312
21.8%
1숙박업소 229
16.0%
13공동주택 117
 
8.2%
12어린이집 97
 
6.8%
및유치원 97
 
6.8%
9학교 70
 
4.9%
5병원 38
 
2.6%
3교통시설 30
 
2.1%
6집단급식소 29
 
2.0%
Other values (3) 36
 
2.5%

Missing values

2023-12-11T01:28:48.523663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:28:48.625476image/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

대상시설주소유형
0라비드아틀란호텔구남로 37 (중동)1숙박업소
1라마다 앙코르 해운대 호텔구남로 9 (우동)1숙박업소
2소사이어티에스 호텔구남로12번길 37(우동)1숙박업소
3선트리 호텔달맞이길 209 (중동)1숙박업소
4휘겔리달맞이길62번가길 37, 6층1숙박업소
5해운대비치달맞이길62번길 53, 6~7층 (중동)1숙박업소
6그랑빌달맞이길62번길781숙박업소
7센텀프리미어호텔센텀1로 17 (우동)1숙박업소
8호텔 메리케이 센텀센텀3로 20 (우동)1숙박업소
9MRINE K POOL VILLA (마린케이풀빌라)송정광어골로 3(송정동)1숙박업소
대상시설주소유형
1327신재초등학교 (급식실)해운대로 81번길 55( 재송2동 1024 )9학교
1328부산국제외국어고등학교해운대로469번길 50 (우동)9학교
1329부산문화여자고등학교해운대로469번길 50 (우동)9학교
1330해운대공업고등학교 (급식실)해운대로469번길 96 (우동)9학교
1331해강중학교 (급식실)해운대해변로 17( 우2동 1417-1번지 )9학교
1332해강고등학교 (급식실)해운대해변로 33 (우동, 지상1층 )9학교
1333해강초등학교 (급식실)해운대해변로 43( 우1동 1388 )9학교
1334부산골프고등학교반여동 1183-259학교
1335동부산대학운봉길 60(반송동)9학교
1336센텀고등학교 (급식실)해운대로 246 (재송동)9학교