Overview

Dataset statistics

Number of variables5
Number of observations325
Missing cells128
Missing cells (%)7.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.1 KiB
Average record size in memory41.4 B

Variable types

Numeric1
Text4

Dataset

Description부산광역시 해운대구 숙박업 현황(2024.3.15.기준)으로, 업소명, 소재지, 연락처, 객실수 등을 제공합니다.
Author부산광역시 해운대구
URLhttps://www.data.go.kr/data/3075790/fileData.do

Alerts

소재지전화 has 128 (39.4%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-30 07:36:43.308384
Analysis finished2024-03-30 07:36:45.579320
Duration2.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct325
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean163
Minimum1
Maximum325
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-03-30T07:36:45.993886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17.2
Q182
median163
Q3244
95-th percentile308.8
Maximum325
Range324
Interquartile range (IQR)162

Descriptive statistics

Standard deviation93.963645
Coefficient of variation (CV)0.57646408
Kurtosis-1.2
Mean163
Median Absolute Deviation (MAD)81
Skewness0
Sum52975
Variance8829.1667
MonotonicityStrictly increasing
2024-03-30T07:36:46.838857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
205 1
 
0.3%
223 1
 
0.3%
222 1
 
0.3%
221 1
 
0.3%
220 1
 
0.3%
219 1
 
0.3%
218 1
 
0.3%
217 1
 
0.3%
216 1
 
0.3%
Other values (315) 315
96.9%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
325 1
0.3%
324 1
0.3%
323 1
0.3%
322 1
0.3%
321 1
0.3%
320 1
0.3%
319 1
0.3%
318 1
0.3%
317 1
0.3%
316 1
0.3%

업소명
Text

Distinct318
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-30T07:36:47.824208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length25
Mean length8.3630769
Min length2

Characters and Unicode

Total characters2718
Distinct characters329
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique311 ?
Unique (%)95.7%

Sample

1st row은재모텔
2nd row물고기 미포
3rd row송정여인숙
4th row센텀1972
5th row합천여인숙
ValueCountFrequency (%)
호텔 29
 
5.4%
해운대 20
 
3.7%
hotel 11
 
2.0%
송정 10
 
1.9%
해운대점 6
 
1.1%
펜션 5
 
0.9%
부산 5
 
0.9%
풀빌라 5
 
0.9%
호스텔 4
 
0.7%
스위트 4
 
0.7%
Other values (392) 440
81.6%
2024-03-30T07:36:49.300684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
214
 
7.9%
텔 155
 
5.7%
호 129
 
4.7%
스 118
 
4.3%
이 72
 
2.6%
운 55
 
2.0%
) 52
 
1.9%
( 52
 
1.9%
대 52
 
1.9%
트 51
 
1.9%
Other values (319) 1768
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1983
73.0%
Uppercase Letter 244
 
9.0%
Space Separator 214
 
7.9%
Lowercase Letter 120
 
4.4%
Close Punctuation 52
 
1.9%
Open Punctuation 52
 
1.9%
Decimal Number 38
 
1.4%
Other Punctuation 10
 
0.4%
Letter Number 3
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
텔 155
 
7.8%
호 129
 
6.5%
스 118
 
6.0%
이 72
 
3.6%
운 55
 
2.8%
대 52
 
2.6%
트 51
 
2.6%
해 50
 
2.5%
라 40
 
2.0%
리 35
 
1.8%
Other values (257) 1226
61.8%
Uppercase Letter
ValueCountFrequency (%)
H 27
11.1%
E 26
10.7%
L 26
10.7%
T 24
9.8%
A 21
 
8.6%
O 21
 
8.6%
N 12
 
4.9%
S 11
 
4.5%
B 10
 
4.1%
I 9
 
3.7%
Other values (15) 57
23.4%
Lowercase Letter
ValueCountFrequency (%)
e 23
19.2%
t 11
9.2%
o 11
9.2%
a 10
 
8.3%
l 8
 
6.7%
u 7
 
5.8%
r 7
 
5.8%
h 6
 
5.0%
n 6
 
5.0%
i 6
 
5.0%
Other values (10) 25
20.8%
Decimal Number
ValueCountFrequency (%)
1 6
15.8%
9 6
15.8%
5 5
13.2%
6 5
13.2%
4 4
10.5%
7 4
10.5%
2 4
10.5%
3 2
 
5.3%
0 2
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 8
80.0%
& 2
 
20.0%
Space Separator
ValueCountFrequency (%)
214
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1984
73.0%
Common 367
 
13.5%
Latin 367
 
13.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
텔 155
 
7.8%
호 129
 
6.5%
스 118
 
5.9%
이 72
 
3.6%
운 55
 
2.8%
대 52
 
2.6%
트 51
 
2.6%
해 50
 
2.5%
라 40
 
2.0%
리 35
 
1.8%
Other values (258) 1227
61.8%
Latin
ValueCountFrequency (%)
H 27
 
7.4%
E 26
 
7.1%
L 26
 
7.1%
T 24
 
6.5%
e 23
 
6.3%
A 21
 
5.7%
O 21
 
5.7%
N 12
 
3.3%
t 11
 
3.0%
o 11
 
3.0%
Other values (36) 165
45.0%
Common
ValueCountFrequency (%)
214
58.3%
) 52
 
14.2%
( 52
 
14.2%
. 8
 
2.2%
1 6
 
1.6%
9 6
 
1.6%
5 5
 
1.4%
6 5
 
1.4%
4 4
 
1.1%
7 4
 
1.1%
Other values (5) 11
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1983
73.0%
ASCII 731
 
26.9%
Number Forms 3
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
214
29.3%
) 52
 
7.1%
( 52
 
7.1%
H 27
 
3.7%
E 26
 
3.6%
L 26
 
3.6%
T 24
 
3.3%
e 23
 
3.1%
A 21
 
2.9%
O 21
 
2.9%
Other values (50) 245
33.5%
Hangul
ValueCountFrequency (%)
텔 155
 
7.8%
호 129
 
6.5%
스 118
 
6.0%
이 72
 
3.6%
운 55
 
2.8%
대 52
 
2.6%
트 51
 
2.6%
해 50
 
2.5%
라 40
 
2.0%
리 35
 
1.8%
Other values (257) 1226
61.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
100.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

영업소 주소(도로명)
Text

Distinct301
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-30T07:36:50.124261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length45
Mean length30.569231
Min length21

Characters and Unicode

Total characters9935
Distinct characters132
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

Unique288 ?
Unique (%)88.6%

Sample

1st row부산광역시 해운대구 윗반송로31번길 99-23 (반송동)
2nd row부산광역시 해운대구 달맞이길62번가길 43 (중동)
3rd row부산광역시 해운대구 송정1로8번길 49 (송정동)
4th row부산광역시 해운대구 해운대로 333 (우동)
5th row부산광역시 해운대구 윗반송로31번길 113-12 (반송동)
ValueCountFrequency (%)
부산광역시 325
17.9%
해운대구 325
17.9%
송정동 106
 
5.8%
우동 94
 
5.2%
중동 92
 
5.1%
송정광어골로 25
 
1.4%
재송동 23
 
1.3%
송정해변로 21
 
1.2%
해운대해변로 20
 
1.1%
해운대해변로298번길 16
 
0.9%
Other values (332) 772
42.4%
2024-03-30T07:36:51.657112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1494
 
15.0%
해 535
 
5.4%
운 447
 
4.5%
대 446
 
4.5%
구 375
 
3.8%
동 353
 
3.6%
광 351
 
3.5%
시 345
 
3.5%
부 330
 
3.3%
( 328
 
3.3%
Other values (122) 4931
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6116
61.6%
Space Separator 1494
 
15.0%
Decimal Number 1413
 
14.2%
Open Punctuation 328
 
3.3%
Close Punctuation 328
 
3.3%
Other Punctuation 150
 
1.5%
Dash Punctuation 66
 
0.7%
Math Symbol 35
 
0.4%
Uppercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
해 535
 
8.7%
운 447
 
7.3%
대 446
 
7.3%
구 375
 
6.1%
동 353
 
5.8%
광 351
 
5.7%
시 345
 
5.6%
부 330
 
5.4%
산 326
 
5.3%
역 325
 
5.3%
Other values (104) 2283
37.3%
Decimal Number
ValueCountFrequency (%)
1 285
20.2%
2 239
16.9%
3 177
12.5%
9 129
9.1%
6 112
 
7.9%
4 110
 
7.8%
5 100
 
7.1%
0 99
 
7.0%
8 81
 
5.7%
7 81
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
A 3
60.0%
B 2
40.0%
Space Separator
ValueCountFrequency (%)
1494
100.0%
Open Punctuation
ValueCountFrequency (%)
( 328
100.0%
Close Punctuation
ValueCountFrequency (%)
) 328
100.0%
Other Punctuation
ValueCountFrequency (%)
, 150
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%
Math Symbol
ValueCountFrequency (%)
~ 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6116
61.6%
Common 3814
38.4%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
해 535
 
8.7%
운 447
 
7.3%
대 446
 
7.3%
구 375
 
6.1%
동 353
 
5.8%
광 351
 
5.7%
시 345
 
5.6%
부 330
 
5.4%
산 326
 
5.3%
역 325
 
5.3%
Other values (104) 2283
37.3%
Common
ValueCountFrequency (%)
1494
39.2%
( 328
 
8.6%
) 328
 
8.6%
1 285
 
7.5%
2 239
 
6.3%
3 177
 
4.6%
, 150
 
3.9%
9 129
 
3.4%
6 112
 
2.9%
4 110
 
2.9%
Other values (6) 462
 
12.1%
Latin
ValueCountFrequency (%)
A 3
60.0%
B 2
40.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6116
61.6%
ASCII 3819
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1494
39.1%
( 328
 
8.6%
) 328
 
8.6%
1 285
 
7.5%
2 239
 
6.3%
3 177
 
4.6%
, 150
 
3.9%
9 129
 
3.4%
6 112
 
2.9%
4 110
 
2.9%
Other values (8) 467
 
12.2%
Hangul
ValueCountFrequency (%)
해 535
 
8.7%
운 447
 
7.3%
대 446
 
7.3%
구 375
 
6.1%
동 353
 
5.8%
광 351
 
5.7%
시 345
 
5.6%
부 330
 
5.4%
산 326
 
5.3%
역 325
 
5.3%
Other values (104) 2283
37.3%

소재지전화
Text

MISSING 

Distinct192
Distinct (%)97.5%
Missing128
Missing (%)39.4%
Memory size2.7 KiB
2024-03-30T07:36:52.584962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.446701
Min length9

Characters and Unicode

Total characters2452
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

Unique187 ?
Unique (%)94.9%

Sample

1st row 051-531-8946
2nd row 051-746-9688
3rd row 051-703-8090
4th row 051-543-8150
5th row051-746-1232
ValueCountFrequency (%)
051-741-7711 3
 
1.5%
051-742-2277 2
 
1.0%
051-501-9440 2
 
1.0%
051-781-0601 2
 
1.0%
051-720-9000 2
 
1.0%
1855-0788 2
 
1.0%
051-746-0006 1
 
0.5%
051-746-3215 1
 
0.5%
051-750-9000 1
 
0.5%
051-531-8946 1
 
0.5%
Other values (180) 180
91.4%
2024-03-30T07:36:54.112496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 415
16.9%
- 391
15.9%
1 354
14.4%
7 274
11.2%
5 269
11.0%
4 172
7.0%
2 108
 
4.4%
3 106
 
4.3%
8 99
 
4.0%
93
 
3.8%
Other values (2) 171
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1968
80.3%
Dash Punctuation 391
 
15.9%
Space Separator 93
 
3.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 415
21.1%
1 354
18.0%
7 274
13.9%
5 269
13.7%
4 172
8.7%
2 108
 
5.5%
3 106
 
5.4%
8 99
 
5.0%
6 88
 
4.5%
9 83
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 391
100.0%
Space Separator
ValueCountFrequency (%)
93
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2452
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 415
16.9%
- 391
15.9%
1 354
14.4%
7 274
11.2%
5 269
11.0%
4 172
7.0%
2 108
 
4.4%
3 106
 
4.3%
8 99
 
4.0%
93
 
3.8%
Other values (2) 171
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2452
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 415
16.9%
- 391
15.9%
1 354
14.4%
7 274
11.2%
5 269
11.0%
4 172
7.0%
2 108
 
4.4%
3 106
 
4.3%
8 99
 
4.0%
93
 
3.8%
Other values (2) 171
7.0%

객실수
Text

Distinct101
Distinct (%)31.1%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-30T07:36:55.159498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length2
Mean length1.8307692
Min length1

Characters and Unicode

Total characters595
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)16.0%

Sample

1st row6
2nd row3
3rd row7
4th row7
5th row6
ValueCountFrequency (%)
8 14
 
4.3%
4 14
 
4.3%
30 13
 
4.0%
7 12
 
3.7%
2 12
 
3.7%
1 10
 
3.1%
10 10
 
3.1%
9 10
 
3.1%
3 10
 
3.1%
5 9
 
2.8%
Other values (91) 211
64.9%
2024-03-30T07:36:56.590448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 99
16.6%
2 97
16.3%
1 94
15.8%
4 59
9.9%
5 48
8.1%
0 47
7.9%
7 44
7.4%
8 37
 
6.2%
6 32
 
5.4%
9 28
 
4.7%
Other values (9) 10
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 585
98.3%
Uppercase Letter 7
 
1.2%
Math Symbol 2
 
0.3%
Other Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 99
16.9%
2 97
16.6%
1 94
16.1%
4 59
10.1%
5 48
8.2%
0 47
8.0%
7 44
7.5%
8 37
 
6.3%
6 32
 
5.5%
9 28
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
E 2
28.6%
R 1
14.3%
P 1
14.3%
L 1
14.3%
A 1
14.3%
C 1
14.3%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Other Punctuation
ValueCountFrequency (%)
' 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 588
98.8%
Latin 7
 
1.2%

Most frequent character per script

Common
ValueCountFrequency (%)
3 99
16.8%
2 97
16.5%
1 94
16.0%
4 59
10.0%
5 48
8.2%
0 47
8.0%
7 44
7.5%
8 37
 
6.3%
6 32
 
5.4%
9 28
 
4.8%
Other values (3) 3
 
0.5%
Latin
ValueCountFrequency (%)
E 2
28.6%
R 1
14.3%
P 1
14.3%
L 1
14.3%
A 1
14.3%
C 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 595
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 99
16.6%
2 97
16.3%
1 94
15.8%
4 59
9.9%
5 48
8.1%
0 47
7.9%
7 44
7.4%
8 37
 
6.2%
6 32
 
5.4%
9 28
 
4.7%
Other values (9) 10
 
1.7%

Interactions

2024-03-30T07:36:44.248149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-30T07:36:44.765713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-30T07:36:45.387950image/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

연번업소명영업소 주소(도로명)소재지전화객실수
01은재모텔부산광역시 해운대구 윗반송로31번길 99-23 (반송동)051-531-89466
12물고기 미포부산광역시 해운대구 달맞이길62번가길 43 (중동)051-746-96883
23송정여인숙부산광역시 해운대구 송정1로8번길 49 (송정동)051-703-80907
34센텀1972부산광역시 해운대구 해운대로 333 (우동)<NA>7
45합천여인숙부산광역시 해운대구 윗반송로31번길 113-12 (반송동)051-543-81506
56비트윈 해운대 게스트하우스부산광역시 해운대구 구남로21번길 9-22 (우동)051-746-123210
67(주)조선호텔앤리조트 부산부산광역시 해운대구 동백로 67 (우동)051-742-7411285
78자다 앤 가다부산광역시 해운대구 중동1로 45 (중동)<NA>23
89수복장모텔부산광역시 해운대구 아랫반송로21번길 153 (반송동)051-544-333715
910가든장부산광역시 해운대구 재반로 263 (반여동)051-782-370912
연번업소명영업소 주소(도로명)소재지전화객실수
315316더블유레지던스호텔해운대부산광역시 해운대구 해운대로 620, 해운대 라뮤에뜨 (우동)<NA>30
316317보나트레블부산광역시 해운대구 구남로21번길 6, 1807호 (중동)<NA>27
317318빌라 드 버틀러부산광역시 해운대구 중동1로19번길 7 (중동)<NA>2
318319보다스테이 5호점(송정)부산광역시 해운대구 송정광어골로 29, 수정빌딩 4층 (송정동)<NA>2
319320와이컬렉션 by UH FLAT 해운대비치부산광역시 해운대구 해운대해변로298번길 25, 영무 파라드 호텔 (중동)<NA>30
320321더솔리드부산광역시 해운대구 구남로21번길 6, 705호 (중동)<NA>48
321322패밀리 하우스(Family house 710)부산광역시 해운대구 중동1로19번길 7, 3층 (중동)<NA>1
322323로미스테이부산광역시 해운대구 해운대해변로298번길 29, 해운대푸르지오시티 B동 1209호 (중동)<NA>30
323324해운대센텀호텔부산광역시 해운대구 센텀3로 20, 벡스코 비지니스호텔 (우동)051-720-900033
324325라비앙즈부산광역시 해운대구 구남로21번길 6, 805호 (중동)<NA>30