Overview

Dataset statistics

Number of variables6
Number of observations69
Missing cells2
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory50.9 B

Variable types

Text3
Categorical1
Numeric1
DateTime1

Dataset

Description실내공기질관리법 대상인 울산광역시 중구 다중이용시설 현황(시설명,도로명주소,전화번호,개인전화번호,연면적)
Author울산광역시 중구
URLhttps://www.data.go.kr/data/15028147/fileData.do

Alerts

데이터기준일 has constant value ""Constant
전화번호 has 2 (2.9%) missing valuesMissing

Reproduction

Analysis started2023-12-12 00:44:11.086969
Analysis finished2023-12-12 00:44:11.736185
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct62
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-12T09:44:11.904308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length9.3333333
Min length3

Characters and Unicode

Total characters644
Distinct characters176
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)79.7%

Sample

1st row의료법인 동강의료재단 동강병원
2nd row중구보건소
3rd row의료법인 에스엠씨의료재단 울산세민병원
4th row의료법인 성덕의료재단 위너스자연요양병원
5th row맘스여성병원
ValueCountFrequency (%)
의료법인 7
 
7.4%
동강의료재단 3
 
3.2%
울산시립미술관 2
 
2.1%
건강증진의원 2
 
2.1%
신중앙시장 2
 
2.1%
리버플레이스(디앤아이 2
 
2.1%
한국건강관리협회 2
 
2.1%
홈플러스울산점 2
 
2.1%
성남프라자 2
 
2.1%
센트럴프라자 2
 
2.1%
Other values (68) 68
72.3%
2023-12-12T09:44:12.326321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27
 
4.2%
23
 
3.6%
21
 
3.3%
18
 
2.8%
17
 
2.6%
16
 
2.5%
15
 
2.3%
14
 
2.2%
14
 
2.2%
13
 
2.0%
Other values (166) 466
72.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 596
92.5%
Space Separator 27
 
4.2%
Decimal Number 8
 
1.2%
Uppercase Letter 6
 
0.9%
Open Punctuation 3
 
0.5%
Close Punctuation 3
 
0.5%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
23
 
3.9%
21
 
3.5%
18
 
3.0%
17
 
2.9%
16
 
2.7%
15
 
2.5%
14
 
2.3%
14
 
2.3%
13
 
2.2%
13
 
2.2%
Other values (155) 432
72.5%
Uppercase Letter
ValueCountFrequency (%)
C 2
33.3%
P 2
33.3%
H 1
16.7%
M 1
16.7%
Decimal Number
ValueCountFrequency (%)
1 5
62.5%
2 2
 
25.0%
0 1
 
12.5%
Space Separator
ValueCountFrequency (%)
27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 596
92.5%
Common 42
 
6.5%
Latin 6
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
23
 
3.9%
21
 
3.5%
18
 
3.0%
17
 
2.9%
16
 
2.7%
15
 
2.5%
14
 
2.3%
14
 
2.3%
13
 
2.2%
13
 
2.2%
Other values (155) 432
72.5%
Common
ValueCountFrequency (%)
27
64.3%
1 5
 
11.9%
( 3
 
7.1%
) 3
 
7.1%
2 2
 
4.8%
, 1
 
2.4%
0 1
 
2.4%
Latin
ValueCountFrequency (%)
C 2
33.3%
P 2
33.3%
H 1
16.7%
M 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 596
92.5%
ASCII 48
 
7.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27
56.2%
1 5
 
10.4%
( 3
 
6.2%
) 3
 
6.2%
2 2
 
4.2%
C 2
 
4.2%
P 2
 
4.2%
H 1
 
2.1%
M 1
 
2.1%
, 1
 
2.1%
Hangul
ValueCountFrequency (%)
23
 
3.9%
21
 
3.5%
18
 
3.0%
17
 
2.9%
16
 
2.7%
15
 
2.5%
14
 
2.3%
14
 
2.3%
13
 
2.2%
13
 
2.2%
Other values (155) 432
72.5%
Distinct57
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-12T09:44:12.676974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length21.666667
Min length15

Characters and Unicode

Total characters1495
Distinct characters93
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)66.7%

Sample

1st row울산광역시 중구 태화로 239(태화동)
2nd row울산광역시 중구 외솔큰길 225(남외동)
3rd row울산광역시 중구 학성로 184(학성동)
4th row울산광역시 중구 함월20길 89(성안동)
5th row울산광역시 중구 남외2길 36(남외동)
ValueCountFrequency (%)
울산광역시 69
24.6%
중구 69
24.6%
번영로 8
 
2.9%
종가로 5
 
1.8%
구교로 3
 
1.1%
외솔큰길 3
 
1.1%
태화로 3
 
1.1%
남외2길 3
 
1.1%
33(성남동 3
 
1.1%
젊음의2거리 3
 
1.1%
Other values (91) 111
39.6%
2023-12-12T09:44:13.532573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
212
 
14.2%
82
 
5.5%
77
 
5.2%
71
 
4.7%
70
 
4.7%
69
 
4.6%
69
 
4.6%
69
 
4.6%
) 66
 
4.4%
66
 
4.4%
Other values (83) 644
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 927
62.0%
Decimal Number 213
 
14.2%
Space Separator 212
 
14.2%
Close Punctuation 66
 
4.4%
Open Punctuation 66
 
4.4%
Other Punctuation 6
 
0.4%
Dash Punctuation 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
82
 
8.8%
77
 
8.3%
71
 
7.7%
70
 
7.6%
69
 
7.4%
69
 
7.4%
69
 
7.4%
66
 
7.1%
33
 
3.6%
30
 
3.2%
Other values (68) 291
31.4%
Decimal Number
ValueCountFrequency (%)
1 38
17.8%
2 33
15.5%
3 31
14.6%
4 22
10.3%
0 20
9.4%
5 19
8.9%
6 17
8.0%
9 14
 
6.6%
8 10
 
4.7%
7 9
 
4.2%
Space Separator
ValueCountFrequency (%)
212
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 927
62.0%
Common 568
38.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
82
 
8.8%
77
 
8.3%
71
 
7.7%
70
 
7.6%
69
 
7.4%
69
 
7.4%
69
 
7.4%
66
 
7.1%
33
 
3.6%
30
 
3.2%
Other values (68) 291
31.4%
Common
ValueCountFrequency (%)
212
37.3%
) 66
 
11.6%
( 66
 
11.6%
1 38
 
6.7%
2 33
 
5.8%
3 31
 
5.5%
4 22
 
3.9%
0 20
 
3.5%
5 19
 
3.3%
6 17
 
3.0%
Other values (5) 44
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 927
62.0%
ASCII 568
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
212
37.3%
) 66
 
11.6%
( 66
 
11.6%
1 38
 
6.7%
2 33
 
5.8%
3 31
 
5.5%
4 22
 
3.9%
0 20
 
3.5%
5 19
 
3.3%
6 17
 
3.0%
Other values (5) 44
 
7.7%
Hangul
ValueCountFrequency (%)
82
 
8.8%
77
 
8.3%
71
 
7.7%
70
 
7.6%
69
 
7.4%
69
 
7.4%
69
 
7.4%
66
 
7.1%
33
 
3.6%
30
 
3.2%
Other values (68) 291
31.4%

시설군
Categorical

Distinct12
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
실내주차장
21 
보육시설
13 
의료기관
12 
대규모점포
노인요양시설
Other values (7)
12 

Length

Max length9
Median length6
Mean length4.7246377
Min length3

Unique

Unique2 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
실내주차장 21
30.4%
보육시설 13
18.8%
의료기관 12
17.4%
대규모점포 6
 
8.7%
노인요양시설 5
 
7.2%
장례식장 2
 
2.9%
산후조리원 2
 
2.9%
영화관 2
 
2.9%
pc영업시설 2
 
2.9%
실내어린이놀이시설 2
 
2.9%
Other values (2) 2
 
2.9%

Length

2023-12-12T09:44:13.699727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
실내주차장 21
30.4%
보육시설 13
18.8%
의료기관 12
17.4%
대규모점포 6
 
8.7%
노인요양시설 5
 
7.2%
장례식장 2
 
2.9%
산후조리원 2
 
2.9%
영화관 2
 
2.9%
pc영업시설 2
 
2.9%
실내어린이놀이시설 2
 
2.9%
Other values (2) 2
 
2.9%

전화번호
Text

MISSING 

Distinct62
Distinct (%)92.5%
Missing2
Missing (%)2.9%
Memory size684.0 B
2023-12-12T09:44:13.985011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.985075
Min length9

Characters and Unicode

Total characters803
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)85.1%

Sample

1st row052-241-1081
2nd row052-290-4314
3rd row052-292-2000
4th row052-245-0002
5th row052-290-6721
ValueCountFrequency (%)
052-296-0826 2
 
3.0%
052-243-5678 2
 
3.0%
052-241-5000 2
 
3.0%
052-229-8435 2
 
3.0%
052-243-2911 2
 
3.0%
052-241-1081 1
 
1.5%
052-211-2006 1
 
1.5%
052-294-7082 1
 
1.5%
052-245-6785 1
 
1.5%
052-210-5043 1
 
1.5%
Other values (52) 52
77.6%
2023-12-12T09:44:14.551804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 162
20.2%
0 143
17.8%
- 133
16.6%
5 98
12.2%
4 53
 
6.6%
1 53
 
6.6%
9 38
 
4.7%
6 36
 
4.5%
8 33
 
4.1%
3 27
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 670
83.4%
Dash Punctuation 133
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 162
24.2%
0 143
21.3%
5 98
14.6%
4 53
 
7.9%
1 53
 
7.9%
9 38
 
5.7%
6 36
 
5.4%
8 33
 
4.9%
3 27
 
4.0%
7 27
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 133
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 803
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 162
20.2%
0 143
17.8%
- 133
16.6%
5 98
12.2%
4 53
 
6.6%
1 53
 
6.6%
9 38
 
4.7%
6 36
 
4.5%
8 33
 
4.1%
3 27
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 803
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 162
20.2%
0 143
17.8%
- 133
16.6%
5 98
12.2%
4 53
 
6.6%
1 53
 
6.6%
9 38
 
4.7%
6 36
 
4.5%
8 33
 
4.1%
3 27
 
3.4%

연면적
Real number (ℝ)

Distinct67
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4674.4638
Minimum450
Maximum30345
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2023-12-12T09:44:14.768390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450
5-th percentile481.6
Q11207
median2607
Q35873
95-th percentile14665
Maximum30345
Range29895
Interquartile range (IQR)4666

Descriptive statistics

Standard deviation5623.5587
Coefficient of variation (CV)1.2030383
Kurtosis8.8544893
Mean4674.4638
Median Absolute Deviation (MAD)2033
Skewness2.7000586
Sum322538
Variance31624413
MonotonicityNot monotonic
2023-12-12T09:44:14.978620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5985 2
 
2.9%
2158 2
 
2.9%
515 1
 
1.4%
11099 1
 
1.4%
16377 1
 
1.4%
10614 1
 
1.4%
15487 1
 
1.4%
6845 1
 
1.4%
30345 1
 
1.4%
27282 1
 
1.4%
Other values (57) 57
82.6%
ValueCountFrequency (%)
450 1
1.4%
459 1
1.4%
465 1
1.4%
480 1
1.4%
484 1
1.4%
503 1
1.4%
515 1
1.4%
540 1
1.4%
551 1
1.4%
564 1
1.4%
ValueCountFrequency (%)
30345 1
1.4%
27282 1
1.4%
16377 1
1.4%
15487 1
1.4%
13432 1
1.4%
11450 1
1.4%
11099 1
1.4%
10614 1
1.4%
10227 1
1.4%
9804 1
1.4%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
Minimum2023-09-20 00:00:00
Maximum2023-09-20 00:00:00
2023-12-12T09:44:15.213133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:44:15.380271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T09:44:11.436221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:44:15.491229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명도로명주소시설군전화번호연면적
시설명1.0001.0000.7581.0000.000
도로명주소1.0001.0000.0001.0000.000
시설군0.7580.0001.0000.0000.514
전화번호1.0001.0000.0001.0000.000
연면적0.0000.0000.5140.0001.000
2023-12-12T09:44:15.614776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연면적시설군
연면적1.0000.239
시설군0.2391.000

Missing values

2023-12-12T09:44:11.571527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:44:11.691017image/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

시설명도로명주소시설군전화번호연면적데이터기준일
0의료법인 동강의료재단 동강병원울산광역시 중구 태화로 239(태화동)의료기관052-241-1081272822023-09-20
1중구보건소울산광역시 중구 외솔큰길 225(남외동)의료기관052-290-431437572023-09-20
2의료법인 에스엠씨의료재단 울산세민병원울산광역시 중구 학성로 184(학성동)의료기관052-292-200049872023-09-20
3의료법인 성덕의료재단 위너스자연요양병원울산광역시 중구 함월20길 89(성안동)의료기관052-245-000230572023-09-20
4맘스여성병원울산광역시 중구 남외2길 36(남외동)의료기관052-290-672132412023-09-20
5의료법인우아의료재단 길메리요양병원울산광역시 중구 서원10길 10-2(반구동)의료기관052-296-003022272023-09-20
6울산H병원울산광역시 중구 화합로 363(반구동)의료기관052-295-710133372023-09-20
7의료법인 주보배의료재단 주성혜요양병원울산광역시 중구 도화골14길 3(복산동)의료기관052-700-827526072023-09-20
8한국건강관리협회 건강증진의원울산광역시 중구 번영로 360(학산동)의료기관052-281-268121582023-09-20
9의료법인 청남의료재단 세민에스요양병원울산광역시 중구 내황4길 11 (반구동)의료기관052-293-200091742023-09-20
시설명도로명주소시설군전화번호연면적데이터기준일
59스카이리조트울산광역시 중구 함월18길 32-1(성안동)목욕장업052-248-580018932023-09-20
60맘스산후조리원울산광역시 중구 남외2길 36(남외동)산후조리원052-290-688011742023-09-20
61피오레산후조리원울산광역시 중구 종가로310(우정동), 엠타워10층산후조리원052-256-601112072023-09-20
62메가박스울산점울산광역시 중구 젊음의거리 73(성남동)영화관070-7016-352259752023-09-20
63롯데시네마 울산성남점울산광역시 중구 젊음의2거리 33(성남동)영화관070-7493-291356632023-09-20
64스카이존PC방울산광역시 중구 번영로 580(남외동)pc영업시설<NA>4502023-09-20
65비버PC방울산광역시 중구 구교로 52 (학산동)pc영업시설<NA>4842023-09-20
66아이와키즈카페울산광역시 중구 종가로 657(서동), 4층실내어린이놀이시설052-292-155413502023-09-20
67피터스원울산광역시 중구 종가로 310(우정동), 5층실내어린이놀이시설052-211-14716352023-09-20
68울산시립미술관울산광역시 중구 도서관길 72(북정동)미술관052-229-8435102272023-09-20