Overview

Dataset statistics

Number of variables3
Number of observations1386
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.6 KiB
Average record size in memory24.1 B

Variable types

Text2
Categorical1

Dataset

Description부산광역시해운대구_소독의무시설현황_20220720
Author부산광역시 해운대구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3075595

Reproduction

Analysis started2023-12-10 16:28:37.891574
Analysis finished2023-12-10 16:28:38.631645
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대상시설
Text

Distinct1379
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-11T01:28:38.891680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length99
Median length36
Mean length9.537518
Min length1

Characters and Unicode

Total characters13219
Distinct characters649
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1372 ?
Unique (%)99.0%

Sample

1st row바다풍경
2nd row라비드아틀란호텔
3rd row베스트웨스턴 해운대호텔
4th row선셋호텔(Sunset Hotel)
5th row그랜드오션/부띠크 호텔 엘리시아(마레누비움)/㈜해운대비치
ValueCountFrequency (%)
해운대 49
 
2.5%
호텔 30
 
1.5%
해운대점 23
 
1.1%
hotel 15
 
0.8%
부산 14
 
0.7%
더 10
 
0.5%
스타벅스 8
 
0.4%
센텀 8
 
0.4%
주)조선호텔앤리조트 6
 
0.3%
해운대구 6
 
0.3%
Other values (1677) 1831
91.5%
2023-12-11T01:28:39.491750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
635
 
4.8%
스 356
 
2.7%
) 353
 
2.7%
( 353
 
2.7%
대 323
 
2.4%
운 285
 
2.2%
이 282
 
2.1%
해 269
 
2.0%
텔 256
 
1.9%
호 211
 
1.6%
Other values (639) 9896
74.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10595
80.1%
Space Separator 635
 
4.8%
Uppercase Letter 591
 
4.5%
Decimal Number 357
 
2.7%
Close Punctuation 353
 
2.7%
Open Punctuation 353
 
2.7%
Lowercase Letter 214
 
1.6%
Other Punctuation 64
 
0.5%
Other Symbol 32
 
0.2%
Dash Punctuation 20
 
0.2%
Other values (3) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 356
 
3.4%
대 323
 
3.0%
운 285
 
2.7%
이 282
 
2.7%
해 269
 
2.5%
텔 256
 
2.4%
호 211
 
2.0%
트 194
 
1.8%
아 182
 
1.7%
리 155
 
1.5%
Other values (565) 8082
76.3%
Uppercase Letter
ValueCountFrequency (%)
E 57
 
9.6%
T 52
 
8.8%
L 47
 
8.0%
O 45
 
7.6%
N 39
 
6.6%
S 39
 
6.6%
H 38
 
6.4%
A 35
 
5.9%
C 30
 
5.1%
K 25
 
4.2%
Other values (14) 184
31.1%
Lowercase Letter
ValueCountFrequency (%)
e 34
15.9%
o 28
13.1%
l 17
 
7.9%
a 16
 
7.5%
t 16
 
7.5%
n 14
 
6.5%
h 13
 
6.1%
i 10
 
4.7%
u 9
 
4.2%
r 9
 
4.2%
Other values (14) 48
22.4%
Decimal Number
ValueCountFrequency (%)
1 82
23.0%
2 79
22.1%
3 51
14.3%
0 36
10.1%
7 28
 
7.8%
4 24
 
6.7%
9 19
 
5.3%
6 16
 
4.5%
5 16
 
4.5%
8 6
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 43
67.2%
& 9
 
14.1%
. 6
 
9.4%
/ 4
 
6.2%
# 1
 
1.6%
; 1
 
1.6%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
~ 1
50.0%
Space Separator
ValueCountFrequency (%)
635
100.0%
Close Punctuation
ValueCountFrequency (%)
) 353
100.0%
Open Punctuation
ValueCountFrequency (%)
( 353
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10626
80.4%
Common 1785
 
13.5%
Latin 807
 
6.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 356
 
3.4%
대 323
 
3.0%
운 285
 
2.7%
이 282
 
2.7%
해 269
 
2.5%
텔 256
 
2.4%
호 211
 
2.0%
트 194
 
1.8%
아 182
 
1.7%
리 155
 
1.5%
Other values (565) 8113
76.4%
Latin
ValueCountFrequency (%)
E 57
 
7.1%
T 52
 
6.4%
L 47
 
5.8%
O 45
 
5.6%
N 39
 
4.8%
S 39
 
4.8%
H 38
 
4.7%
A 35
 
4.3%
e 34
 
4.2%
C 30
 
3.7%
Other values (40) 391
48.5%
Common
ValueCountFrequency (%)
635
35.6%
) 353
19.8%
( 353
19.8%
1 82
 
4.6%
2 79
 
4.4%
3 51
 
2.9%
, 43
 
2.4%
0 36
 
2.0%
7 28
 
1.6%
4 24
 
1.3%
Other values (13) 101
 
5.7%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10593
80.1%
ASCII 2590
 
19.6%
None 32
 
0.2%
Number Forms 2
 
< 0.1%
CJK 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
635
24.5%
) 353
13.6%
( 353
13.6%
1 82
 
3.2%
2 79
 
3.1%
E 57
 
2.2%
T 52
 
2.0%
3 51
 
2.0%
L 47
 
1.8%
O 45
 
1.7%
Other values (61) 836
32.3%
Hangul
ValueCountFrequency (%)
스 356
 
3.4%
대 323
 
3.0%
운 285
 
2.7%
이 282
 
2.7%
해 269
 
2.5%
텔 256
 
2.4%
호 211
 
2.0%
트 194
 
1.8%
아 182
 
1.7%
리 155
 
1.5%
Other values (563) 8080
76.3%
None
ValueCountFrequency (%)
㈜ 32
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
CJK
ValueCountFrequency (%)
家 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

주소
Text

Distinct1362
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-11T01:28:39.926778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length48
Mean length31.239538
Min length13

Characters and Unicode

Total characters43298
Distinct characters318
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

Unique1339 ?
Unique (%)96.6%

Sample

1st row부산광역시 해운대구 구남로 35-13 (중동)
2nd row부산광역시 해운대구 구남로 37 (중동)
3rd row부산광역시 해운대구 구남로 42, 2층일부,3~15층 (중동)
4th row부산광역시 해운대구 구남로 46 (중동)
5th row부산광역시 해운대구 구남로 49, 엘리시아 5,6,7,9,13층 (중동)
ValueCountFrequency (%)
부산광역시 1384
 
17.9%
해운대구 1370
 
17.7%
우동 391
 
5.1%
중동 265
 
3.4%
좌동 204
 
2.6%
재송동 106
 
1.4%
송정동 85
 
1.1%
해운대해변로 75
 
1.0%
해운대로 73
 
0.9%
반여동 56
 
0.7%
Other values (1725) 3724
48.2%
2023-12-11T01:28:40.531580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6553
 
15.1%
해 1974
 
4.6%
대 1892
 
4.4%
1 1875
 
4.3%
운 1831
 
4.2%
동 1545
 
3.6%
구 1472
 
3.4%
시 1468
 
3.4%
부 1467
 
3.4%
산 1425
 
3.3%
Other values (308) 21796
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25215
58.2%
Decimal Number 7832
 
18.1%
Space Separator 6553
 
15.1%
Close Punctuation 1184
 
2.7%
Open Punctuation 1183
 
2.7%
Other Punctuation 684
 
1.6%
Dash Punctuation 488
 
1.1%
Uppercase Letter 84
 
0.2%
Math Symbol 70
 
0.2%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
해 1974
 
7.8%
대 1892
 
7.5%
운 1831
 
7.3%
동 1545
 
6.1%
구 1472
 
5.8%
시 1468
 
5.8%
부 1467
 
5.8%
산 1425
 
5.7%
광 1423
 
5.6%
역 1385
 
5.5%
Other values (278) 9333
37.0%
Uppercase Letter
ValueCountFrequency (%)
A 21
25.0%
C 17
20.2%
B 13
15.5%
E 12
14.3%
P 10
11.9%
N 4
 
4.8%
I 2
 
2.4%
S 2
 
2.4%
L 1
 
1.2%
K 1
 
1.2%
Decimal Number
ValueCountFrequency (%)
1 1875
23.9%
2 1170
14.9%
3 854
10.9%
4 736
 
9.4%
6 590
 
7.5%
5 571
 
7.3%
0 552
 
7.0%
7 536
 
6.8%
9 480
 
6.1%
8 468
 
6.0%
Other Punctuation
ValueCountFrequency (%)
, 677
99.0%
. 5
 
0.7%
· 2
 
0.3%
Space Separator
ValueCountFrequency (%)
6553
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1184
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1183
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 488
100.0%
Math Symbol
ValueCountFrequency (%)
~ 70
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25215
58.2%
Common 17994
41.6%
Latin 89
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
해 1974
 
7.8%
대 1892
 
7.5%
운 1831
 
7.3%
동 1545
 
6.1%
구 1472
 
5.8%
시 1468
 
5.8%
부 1467
 
5.8%
산 1425
 
5.7%
광 1423
 
5.6%
역 1385
 
5.5%
Other values (278) 9333
37.0%
Common
ValueCountFrequency (%)
6553
36.4%
1 1875
 
10.4%
) 1184
 
6.6%
( 1183
 
6.6%
2 1170
 
6.5%
3 854
 
4.7%
4 736
 
4.1%
, 677
 
3.8%
6 590
 
3.3%
5 571
 
3.2%
Other values (8) 2601
 
14.5%
Latin
ValueCountFrequency (%)
A 21
23.6%
C 17
19.1%
B 13
14.6%
E 12
13.5%
P 10
11.2%
e 5
 
5.6%
N 4
 
4.5%
I 2
 
2.2%
S 2
 
2.2%
L 1
 
1.1%
Other values (2) 2
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25215
58.2%
ASCII 18081
41.8%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6553
36.2%
1 1875
 
10.4%
) 1184
 
6.5%
( 1183
 
6.5%
2 1170
 
6.5%
3 854
 
4.7%
4 736
 
4.1%
, 677
 
3.7%
6 590
 
3.3%
5 571
 
3.2%
Other values (19) 2688
14.9%
Hangul
ValueCountFrequency (%)
해 1974
 
7.8%
대 1892
 
7.5%
운 1831
 
7.3%
동 1545
 
6.1%
구 1472
 
5.8%
시 1468
 
5.8%
부 1467
 
5.8%
산 1425
 
5.7%
광 1423
 
5.6%
역 1385
 
5.5%
Other values (278) 9333
37.0%
None
ValueCountFrequency (%)
· 2
100.0%

유형
Categorical

Distinct15
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
식품접객업소
366 
사무실용 및 복합용도 건축물
352 
숙박업
170 
공동주택
120 
어린이집 및 유치원
96 
Other values (10)
282 

Length

Max length15
Median length13
Mean length7.7770563
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
식품접객업소 366
26.4%
사무실용 및 복합용도 건축물 352
25.4%
숙박업 170
12.3%
공동주택 120
 
8.7%
어린이집 및 유치원 96
 
6.9%
관광숙박업소 72
 
5.2%
학교 67
 
4.8%
집단급식소 35
 
2.5%
병원 34
 
2.5%
교통시설 31
 
2.2%
Other values (5) 43
 
3.1%

Length

2023-12-11T01:28:40.748775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
및 477
17.5%
식품접객업소 366
13.5%
사무실용 352
12.9%
복합용도 352
12.9%
건축물 352
12.9%
숙박업 170
 
6.2%
공동주택 120
 
4.4%
어린이집 96
 
3.5%
유치원 96
 
3.5%
관광숙박업소 72
 
2.6%
Other values (11) 268
9.8%

Missing values

2023-12-11T01:28:38.480433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:28:38.579117image/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
0바다풍경부산광역시 해운대구 구남로 35-13 (중동)숙박업
1라비드아틀란호텔부산광역시 해운대구 구남로 37 (중동)숙박업
2베스트웨스턴 해운대호텔부산광역시 해운대구 구남로 42, 2층일부,3~15층 (중동)숙박업
3선셋호텔(Sunset Hotel)부산광역시 해운대구 구남로 46 (중동)숙박업
4그랜드오션/부띠크 호텔 엘리시아(마레누비움)/㈜해운대비치부산광역시 해운대구 구남로 49, 엘리시아 5,6,7,9,13층 (중동)숙박업
5HOTEL JUNE(호텔 준)부산광역시 해운대구 구남로12번길 19 (우동)숙박업
6더비치호텔부산광역시 해운대구 구남로12번길 22 (우동)숙박업
7에스씨 헬싱키 호텔(SC HELSINKI HOTEL)부산광역시 해운대구 구남로12번길 32 (우동)숙박업
8루이스호텔부산광역시 해운대구 구남로12번길 42 (우동)숙박업
9호텔 에스원(HOTEL S-one)부산광역시 해운대구 구남로12번길 45 (우동)숙박업
대상시설주소유형
1376대우마리나3차아파트부산광역시 해운대구 해운대해변로 115 (우동, 대우마리나3차아파트)공동주택
1377대우마리나아파트(1,2차)부산광역시 해운대구 해운대해변로 117 (우동, 대우마리나1차아파트)공동주택
1378현대베네시티부산광역시 해운대구 해운대해변로 163 (우동, 현대베네시티아파트)공동주택
1379해운대 중동 두산위브부산광역시 해운대구 해운대해변로 349-25 (중동, 해운대중동두산위브아파트)공동주택
1380해운대동일아파트부산광역시 해운대구 해운대해변로 394 (중동, 동일아파트)공동주택
1381경동아파트부산광역시 해운대구 해운대해변로 85 경동아파트(우동 974)공동주택
1382경남마리나부산광역시 해운대구 해운대해변로 99 (우동, 경남마리나아파트)공동주택
1383롯데캐슬스타부산광역시 해운대구 중동2로34번길 15 (중동, 롯데캐슬스타)공동주택
1384달맞이유림노르웨이숲부산광역시 해운대구 달맞이길65번길 33공동주택
1385센텀KCC아파트부산광역시 해운대구 반여동 1316번지 일원공동주택