Overview

Dataset statistics

Number of variables5
Number of observations201
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.2 KiB
Average record size in memory41.7 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description부산광역시 해운대구에서 관리 중인 실내공기질관리법 적용 대상 다중이용시설 현황으로 소재지, 용도, 연면적에 대한 자료를 제공합니다.
Author부산광역시 해운대구
URLhttps://www.data.go.kr/data/15092056/fileData.do

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:27:26.353717
Analysis finished2023-12-12 06:27:27.068740
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct201
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101
Minimum1
Maximum201
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T15:27:27.207051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11
Q151
median101
Q3151
95-th percentile191
Maximum201
Range200
Interquartile range (IQR)100

Descriptive statistics

Standard deviation58.167861
Coefficient of variation (CV)0.57591941
Kurtosis-1.2
Mean101
Median Absolute Deviation (MAD)50
Skewness0
Sum20301
Variance3383.5
MonotonicityStrictly increasing
2023-12-12T15:27:27.472214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
139 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
131 1
 
0.5%
132 1
 
0.5%
133 1
 
0.5%
134 1
 
0.5%
135 1
 
0.5%
136 1
 
0.5%
Other values (191) 191
95.0%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
201 1
0.5%
200 1
0.5%
199 1
0.5%
198 1
0.5%
197 1
0.5%
196 1
0.5%
195 1
0.5%
194 1
0.5%
193 1
0.5%
192 1
0.5%

시설명
Text

Distinct185
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T15:27:27.794224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length9.3631841
Min length3

Characters and Unicode

Total characters1882
Distinct characters322
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

Unique173 ?
Unique (%)86.1%

Sample

1st row이마트해운대점
2nd row이마트해운대점
3rd row홈플러스 센텀시티점
4th row홈플러스 센텀시티점
5th row세이브존리베라
ValueCountFrequency (%)
해운대 11
 
3.6%
어린이집 11
 
3.6%
센텀시티점 8
 
2.6%
신세계백화점 6
 
2.0%
의료법인 6
 
2.0%
벡스코 4
 
1.3%
홈플러스 4
 
1.3%
오피스텔 3
 
1.0%
부산 3
 
1.0%
㈜파라다이스호텔 2
 
0.7%
Other values (230) 244
80.8%
2023-12-12T15:27:28.306990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
101
 
5.4%
이 54
 
2.9%
대 50
 
2.7%
스 46
 
2.4%
운 46
 
2.4%
해 44
 
2.3%
센 42
 
2.2%
텀 38
 
2.0%
점 33
 
1.8%
원 32
 
1.7%
Other values (312) 1396
74.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1596
84.8%
Space Separator 101
 
5.4%
Uppercase Letter 87
 
4.6%
Other Punctuation 23
 
1.2%
Lowercase Letter 22
 
1.2%
Close Punctuation 16
 
0.9%
Open Punctuation 16
 
0.9%
Decimal Number 11
 
0.6%
Other Symbol 8
 
0.4%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 54
 
3.4%
대 50
 
3.1%
스 46
 
2.9%
운 46
 
2.9%
해 44
 
2.8%
센 42
 
2.6%
텀 38
 
2.4%
점 33
 
2.1%
원 32
 
2.0%
어 30
 
1.9%
Other values (264) 1181
74.0%
Uppercase Letter
ValueCountFrequency (%)
C 20
23.0%
P 16
18.4%
N 8
 
9.2%
S 4
 
4.6%
K 4
 
4.6%
R 3
 
3.4%
E 3
 
3.4%
A 3
 
3.4%
O 3
 
3.4%
T 3
 
3.4%
Other values (12) 20
23.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
22.7%
a 3
13.6%
n 3
13.6%
o 3
13.6%
t 2
 
9.1%
i 1
 
4.5%
y 1
 
4.5%
l 1
 
4.5%
m 1
 
4.5%
s 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
/ 18
78.3%
. 3
 
13.0%
& 1
 
4.3%
, 1
 
4.3%
Decimal Number
ValueCountFrequency (%)
2 7
63.6%
3 2
 
18.2%
1 1
 
9.1%
4 1
 
9.1%
Close Punctuation
ValueCountFrequency (%)
) 15
93.8%
] 1
 
6.2%
Open Punctuation
ValueCountFrequency (%)
( 15
93.8%
[ 1
 
6.2%
Space Separator
ValueCountFrequency (%)
101
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1604
85.2%
Common 169
 
9.0%
Latin 109
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 54
 
3.4%
대 50
 
3.1%
스 46
 
2.9%
운 46
 
2.9%
해 44
 
2.7%
센 42
 
2.6%
텀 38
 
2.4%
점 33
 
2.1%
원 32
 
2.0%
어 30
 
1.9%
Other values (265) 1189
74.1%
Latin
ValueCountFrequency (%)
C 20
18.3%
P 16
 
14.7%
N 8
 
7.3%
e 5
 
4.6%
S 4
 
3.7%
K 4
 
3.7%
R 3
 
2.8%
E 3
 
2.8%
A 3
 
2.8%
O 3
 
2.8%
Other values (23) 40
36.7%
Common
ValueCountFrequency (%)
101
59.8%
/ 18
 
10.7%
) 15
 
8.9%
( 15
 
8.9%
2 7
 
4.1%
. 3
 
1.8%
- 2
 
1.2%
3 2
 
1.2%
& 1
 
0.6%
, 1
 
0.6%
Other values (4) 4
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1596
84.8%
ASCII 278
 
14.8%
None 8
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
101
36.3%
C 20
 
7.2%
/ 18
 
6.5%
P 16
 
5.8%
) 15
 
5.4%
( 15
 
5.4%
N 8
 
2.9%
2 7
 
2.5%
e 5
 
1.8%
S 4
 
1.4%
Other values (37) 69
24.8%
Hangul
ValueCountFrequency (%)
이 54
 
3.4%
대 50
 
3.1%
스 46
 
2.9%
운 46
 
2.9%
해 44
 
2.8%
센 42
 
2.6%
텀 38
 
2.4%
점 33
 
2.1%
원 32
 
2.0%
어 30
 
1.9%
Other values (264) 1181
74.0%
None
ValueCountFrequency (%)
㈜ 8
100.0%

소재지
Text

Distinct181
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T15:27:28.622540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length42
Mean length26.970149
Min length18

Characters and Unicode

Total characters5421
Distinct characters161
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

Unique166 ?
Unique (%)82.6%

Sample

1st row부산광역시 해운대구 좌동순환로 511 (중동)
2nd row부산광역시 해운대구 좌동순환로 511 (중동)
3rd row부산광역시 해운대구 센텀동로 6 (우동)
4th row부산광역시 해운대구 센텀동로 6 (우동)
5th row부산광역시 해운대구 구남로29번길 21 (중동)
ValueCountFrequency (%)
부산광역시 201
19.6%
해운대구 201
19.6%
우동 69
 
6.7%
해운대로 38
 
3.7%
좌동 29
 
2.8%
중동 26
 
2.5%
해운대해변로 13
 
1.3%
재송동 11
 
1.1%
센텀남대로 10
 
1.0%
좌동순환로 9
 
0.9%
Other values (285) 416
40.7%
2023-12-12T15:27:29.121597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
824
 
15.2%
대 287
 
5.3%
해 286
 
5.3%
운 272
 
5.0%
동 231
 
4.3%
시 213
 
3.9%
구 206
 
3.8%
부 204
 
3.8%
산 203
 
3.7%
역 201
 
3.7%
Other values (151) 2494
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3413
63.0%
Space Separator 824
 
15.2%
Decimal Number 683
 
12.6%
Close Punctuation 192
 
3.5%
Open Punctuation 192
 
3.5%
Other Punctuation 60
 
1.1%
Uppercase Letter 38
 
0.7%
Dash Punctuation 15
 
0.3%
Math Symbol 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 287
 
8.4%
해 286
 
8.4%
운 272
 
8.0%
동 231
 
6.8%
시 213
 
6.2%
구 206
 
6.0%
부 204
 
6.0%
산 203
 
5.9%
역 201
 
5.9%
광 201
 
5.9%
Other values (128) 1109
32.5%
Decimal Number
ValueCountFrequency (%)
1 108
15.8%
2 101
14.8%
5 75
11.0%
3 73
10.7%
7 65
9.5%
6 58
8.5%
4 55
8.1%
9 51
7.5%
0 49
7.2%
8 48
7.0%
Uppercase Letter
ValueCountFrequency (%)
C 9
23.7%
A 8
21.1%
P 8
21.1%
E 8
21.1%
N 3
 
7.9%
K 1
 
2.6%
J 1
 
2.6%
Space Separator
ValueCountFrequency (%)
824
100.0%
Close Punctuation
ValueCountFrequency (%)
) 192
100.0%
Open Punctuation
ValueCountFrequency (%)
( 192
100.0%
Other Punctuation
ValueCountFrequency (%)
, 60
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3413
63.0%
Common 1970
36.3%
Latin 38
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 287
 
8.4%
해 286
 
8.4%
운 272
 
8.0%
동 231
 
6.8%
시 213
 
6.2%
구 206
 
6.0%
부 204
 
6.0%
산 203
 
5.9%
역 201
 
5.9%
광 201
 
5.9%
Other values (128) 1109
32.5%
Common
ValueCountFrequency (%)
824
41.8%
) 192
 
9.7%
( 192
 
9.7%
1 108
 
5.5%
2 101
 
5.1%
5 75
 
3.8%
3 73
 
3.7%
7 65
 
3.3%
, 60
 
3.0%
6 58
 
2.9%
Other values (6) 222
 
11.3%
Latin
ValueCountFrequency (%)
C 9
23.7%
A 8
21.1%
P 8
21.1%
E 8
21.1%
N 3
 
7.9%
K 1
 
2.6%
J 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3413
63.0%
ASCII 2008
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
824
41.0%
) 192
 
9.6%
( 192
 
9.6%
1 108
 
5.4%
2 101
 
5.0%
5 75
 
3.7%
3 73
 
3.6%
7 65
 
3.2%
, 60
 
3.0%
6 58
 
2.9%
Other values (13) 260
 
12.9%
Hangul
ValueCountFrequency (%)
대 287
 
8.4%
해 286
 
8.4%
운 272
 
8.0%
동 231
 
6.8%
시 213
 
6.2%
구 206
 
6.0%
부 204
 
6.0%
산 203
 
5.9%
역 201
 
5.9%
광 201
 
5.9%
Other values (128) 1109
32.5%

주용도
Categorical

Distinct27
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
실내주차장
87 
보육시설
24 
의료기관
23 
대규모점포
13 
PC방
13 
Other values (22)
41 

Length

Max length17
Median length5
Mean length4.7910448
Min length2

Unique

Unique15 ?
Unique (%)7.5%

Sample

1st row대규모점포
2nd row실내주차장
3rd row대규모점포
4th row실내주차장
5th row대규모점포

Common Values

ValueCountFrequency (%)
실내주차장 87
43.3%
보육시설 24
 
11.9%
의료기관 23
 
11.4%
대규모점포 13
 
6.5%
PC방 13
 
6.5%
지하역사 7
 
3.5%
영화관 6
 
3.0%
목욕장 3
 
1.5%
산후조리원 3
 
1.5%
학원 3
 
1.5%
Other values (17) 19
 
9.5%

Length

2023-12-12T15:27:29.304573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
실내주차장 87
42.9%
보육시설 24
 
11.8%
의료기관 23
 
11.3%
대규모점포 13
 
6.4%
pc방 13
 
6.4%
지하역사 7
 
3.4%
영화관 6
 
3.0%
목욕장 3
 
1.5%
산후조리원 3
 
1.5%
학원 3
 
1.5%
Other values (18) 21
 
10.3%

연면적(미터제곱)
Text

Distinct198
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T15:27:29.719213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length4
Mean length4.2487562
Min length3

Characters and Unicode

Total characters854
Distinct characters13
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

Unique195 ?
Unique (%)97.0%

Sample

1st row18304
2nd row19813
3rd row31834.17
4th row23500
5th row16491
ValueCountFrequency (%)
525 2
 
1.0%
307 2
 
1.0%
494 2
 
1.0%
6525 1
 
0.5%
532 1
 
0.5%
455 1
 
0.5%
57841 1
 
0.5%
17471 1
 
0.5%
18304 1
 
0.5%
40800 1
 
0.5%
Other values (190) 190
93.6%
2023-12-12T15:27:30.206445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 125
14.6%
4 96
11.2%
5 90
10.5%
3 87
10.2%
2 85
10.0%
9 78
9.1%
7 75
8.8%
6 75
8.8%
0 69
8.1%
8 63
7.4%
Other values (3) 11
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 843
98.7%
Other Punctuation 9
 
1.1%
Space Separator 2
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 125
14.8%
4 96
11.4%
5 90
10.7%
3 87
10.3%
2 85
10.1%
9 78
9.3%
7 75
8.9%
6 75
8.9%
0 69
8.2%
8 63
7.5%
Other Punctuation
ValueCountFrequency (%)
. 8
88.9%
/ 1
 
11.1%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 854
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 125
14.6%
4 96
11.2%
5 90
10.5%
3 87
10.2%
2 85
10.0%
9 78
9.1%
7 75
8.8%
6 75
8.8%
0 69
8.1%
8 63
7.4%
Other values (3) 11
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 854
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 125
14.6%
4 96
11.2%
5 90
10.5%
3 87
10.2%
2 85
10.0%
9 78
9.1%
7 75
8.8%
6 75
8.8%
0 69
8.1%
8 63
7.4%
Other values (3) 11
 
1.3%

Interactions

2023-12-12T15:27:26.710691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:27:30.310835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번주용도
연번1.0000.645
주용도0.6451.000
2023-12-12T15:27:30.398042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번주용도
연번1.0000.280
주용도0.2801.000

Missing values

2023-12-12T15:27:26.858927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:27:26.970667image/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

연번시설명소재지주용도연면적(미터제곱)
01이마트해운대점부산광역시 해운대구 좌동순환로 511 (중동)대규모점포18304
12이마트해운대점부산광역시 해운대구 좌동순환로 511 (중동)실내주차장19813
23홈플러스 센텀시티점부산광역시 해운대구 센텀동로 6 (우동)대규모점포31834.17
34홈플러스 센텀시티점부산광역시 해운대구 센텀동로 6 (우동)실내주차장23500
45세이브존리베라부산광역시 해운대구 구남로29번길 21 (중동)대규모점포16491
56㈜파라다이스호텔부산광역시 해운대구 해운대해변로 296 (중동)실내주차장(신관)13025.14
67㈜파라다이스호텔부산광역시 해운대구 해운대해변로 296 (중동)실내주차장(본관)5506.99
78홈플러스 해운대점부산광역시 해운대구 해운대해변로 140 (우동)대규모점포26753
89화목데파트 상가부산광역시 해운대구 세실로 64 (좌동, 화목데파트)대규모점포4159
910화목데파트 상가부산광역시 해운대구 세실로 64 (좌동, 화목데파트)실내주차장9695
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191192㈜호텔롯데 시그니엘 부산부산광역시 해운대구 달맞이길 30(중동,시그니엘 부산 지하2층 영업지원팀)실내주차장14556
192193엘시티더레지던스부산광역시 해운대구 달맞이길 30(중동, 랜드마크타워동 레지던스 방제실)실내주차장44486
193194대한예수교장로회오산교회부산광역시 해운대구 좌동순환로412번길 8실내주차장2968
194195대한예수교장로회수영로교회부산광역시 해운대구 해운대해변로 43실내주차장11237
195196대한예수교장로회수영로교회/교육관부산광역시 해운대구 해운대해변로 47실내주차장6616
196197퀸즈파크여성병원부산광역시 해운대구 해운대로 794, 10층, 11층 (좌동)의료기관2549
197198엘시티 더몰부산광역시 해운대구 달맞이길 30(중동, 엘시티 포디움동)대규모점포28555
198199아세안문화박물관부산광역시 해운대구 좌동로 162(좌동)박물관6525
199200영화진흥위원회부산광역시 해운대구 수영강변대로 130 (우동)실내주차장2579
200201해운대 오션프라임부산광역시 해운대구 해운대해변로 353 (중동)실내주차장3581