Overview

Dataset statistics

Number of variables7
Number of observations45
Missing cells2
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory59.9 B

Variable types

Numeric1
Text3
Categorical3

Dataset

Description본 데이터는 울산광역시 동구에 소재하는 실내 공기 질 측정 대상 업체의 목록으로 해당 업소명, 연락처, 소재지, 담당부서 및 연락처를 포함하고 있습니다
URLhttps://www.data.go.kr/data/15102216/fileData.do

Alerts

담당부서 has constant value ""Constant
담당부서 연락처 has constant value ""Constant
기준일자 has constant value ""Constant
소재지 연락처 has 2 (4.4%) missing valuesMissing
연번 has unique valuesUnique
업소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:52:14.136489
Analysis finished2023-12-12 08:52:14.879253
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23
Minimum1
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2023-12-12T17:52:14.981815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.2
Q112
median23
Q334
95-th percentile42.8
Maximum45
Range44
Interquartile range (IQR)22

Descriptive statistics

Standard deviation13.133926
Coefficient of variation (CV)0.57104024
Kurtosis-1.2
Mean23
Median Absolute Deviation (MAD)11
Skewness0
Sum1035
Variance172.5
MonotonicityStrictly increasing
2023-12-12T17:52:15.480240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
1 1
 
2.2%
35 1
 
2.2%
26 1
 
2.2%
27 1
 
2.2%
28 1
 
2.2%
29 1
 
2.2%
30 1
 
2.2%
31 1
 
2.2%
32 1
 
2.2%
33 1
 
2.2%
Other values (35) 35
77.8%
ValueCountFrequency (%)
1 1
2.2%
2 1
2.2%
3 1
2.2%
4 1
2.2%
5 1
2.2%
6 1
2.2%
7 1
2.2%
8 1
2.2%
9 1
2.2%
10 1
2.2%
ValueCountFrequency (%)
45 1
2.2%
44 1
2.2%
43 1
2.2%
42 1
2.2%
41 1
2.2%
40 1
2.2%
39 1
2.2%
38 1
2.2%
37 1
2.2%
36 1
2.2%

업소명
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-12T17:52:15.798094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length7.7333333
Min length5

Characters and Unicode

Total characters348
Distinct characters127
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)100.0%

Sample

1st row울산동구노인요양원
2nd row꽃바위어린이집
3rd row꾸러기어린이집
4th row남목어린이집
5th row남목자연어린이집
ValueCountFrequency (%)
현대예술관 2
 
3.8%
울산동구노인요양원 1
 
1.9%
울산대왕암 1
 
1.9%
pc방 1
 
1.9%
남목점 1
 
1.9%
1469pc울산본점 1
 
1.9%
나는게이머다 1
 
1.9%
pc 1
 
1.9%
전하공영주차장 1
 
1.9%
화정공영지하주차장 1
 
1.9%
Other values (41) 41
78.8%
2023-12-12T17:52:16.285060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
어 26
 
7.5%
이 26
 
7.5%
린 24
 
6.9%
집 23
 
6.6%
산 10
 
2.9%
대 9
 
2.6%
울 9
 
2.6%
동 9
 
2.6%
7
 
2.0%
원 7
 
2.0%
Other values (117) 198
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 321
92.2%
Uppercase Letter 14
 
4.0%
Space Separator 7
 
2.0%
Decimal Number 4
 
1.1%
Other Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
어 26
 
8.1%
이 26
 
8.1%
린 24
 
7.5%
집 23
 
7.2%
산 10
 
3.1%
대 9
 
2.8%
울 9
 
2.8%
동 9
 
2.8%
원 7
 
2.2%
구 6
 
1.9%
Other values (103) 172
53.6%
Uppercase Letter
ValueCountFrequency (%)
C 5
35.7%
P 3
21.4%
A 1
 
7.1%
B 1
 
7.1%
X 1
 
7.1%
O 1
 
7.1%
V 1
 
7.1%
G 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
9 1
25.0%
6 1
25.0%
4 1
25.0%
1 1
25.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 321
92.2%
Latin 14
 
4.0%
Common 13
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
어 26
 
8.1%
이 26
 
8.1%
린 24
 
7.5%
집 23
 
7.2%
산 10
 
3.1%
대 9
 
2.8%
울 9
 
2.8%
동 9
 
2.8%
원 7
 
2.2%
구 6
 
1.9%
Other values (103) 172
53.6%
Latin
ValueCountFrequency (%)
C 5
35.7%
P 3
21.4%
A 1
 
7.1%
B 1
 
7.1%
X 1
 
7.1%
O 1
 
7.1%
V 1
 
7.1%
G 1
 
7.1%
Common
ValueCountFrequency (%)
7
53.8%
, 2
 
15.4%
9 1
 
7.7%
6 1
 
7.7%
4 1
 
7.7%
1 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 321
92.2%
ASCII 27
 
7.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
어 26
 
8.1%
이 26
 
8.1%
린 24
 
7.5%
집 23
 
7.2%
산 10
 
3.1%
대 9
 
2.8%
울 9
 
2.8%
동 9
 
2.8%
원 7
 
2.2%
구 6
 
1.9%
Other values (103) 172
53.6%
ASCII
ValueCountFrequency (%)
7
25.9%
C 5
18.5%
P 3
11.1%
, 2
 
7.4%
9 1
 
3.7%
6 1
 
3.7%
4 1
 
3.7%
1 1
 
3.7%
A 1
 
3.7%
B 1
 
3.7%
Other values (4) 4
14.8%

소재지 연락처
Text

MISSING 

Distinct42
Distinct (%)97.7%
Missing2
Missing (%)4.4%
Memory size492.0 B
2023-12-12T17:52:16.567497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.837209
Min length8

Characters and Unicode

Total characters509
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

Unique41 ?
Unique (%)95.3%

Sample

1st row052-252-1100
2nd row052-234-7723
3rd row052-233-3858
4th row052-232-2051
5th row052-233-1007
ValueCountFrequency (%)
052-209-3722 2
 
4.7%
052-234-2233 1
 
2.3%
052-230-8000 1
 
2.3%
052-252-1100 1
 
2.3%
052-230-0500 1
 
2.3%
052-209-7812 1
 
2.3%
232-8500 1
 
2.3%
052-713-7004 1
 
2.3%
052-241-2314 1
 
2.3%
1522-3331 1
 
2.3%
Other values (32) 32
74.4%
2023-12-12T17:52:17.071200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 106
20.8%
2 105
20.6%
- 84
16.5%
5 70
13.8%
3 46
9.0%
1 28
 
5.5%
9 15
 
2.9%
7 15
 
2.9%
4 15
 
2.9%
8 15
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 425
83.5%
Dash Punctuation 84
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 106
24.9%
2 105
24.7%
5 70
16.5%
3 46
10.8%
1 28
 
6.6%
9 15
 
3.5%
7 15
 
3.5%
4 15
 
3.5%
8 15
 
3.5%
6 10
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 509
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 106
20.8%
2 105
20.6%
- 84
16.5%
5 70
13.8%
3 46
9.0%
1 28
 
5.5%
9 15
 
2.9%
7 15
 
2.9%
4 15
 
2.9%
8 15
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 509
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 106
20.8%
2 105
20.6%
- 84
16.5%
5 70
13.8%
3 46
9.0%
1 28
 
5.5%
9 15
 
2.9%
7 15
 
2.9%
4 15
 
2.9%
8 15
 
2.9%

소재지
Text

Distinct44
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-12T17:52:17.384873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length27
Mean length22.8
Min length16

Characters and Unicode

Total characters1026
Distinct characters90
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)95.6%

Sample

1st row울산광역시 동구 방어진순환도로 1271(서부동)
2nd row울산광역시 동구 꽃바위2가길 21 (방어동)
3rd row울산광역시 동구 문재2길 35 (방어동)
4th row울산광역시 동구 명덕6길 35 (서부동)
5th row울산광역시 동구 남목2길 28
ValueCountFrequency (%)
동구 45
20.7%
울산광역시 44
20.3%
방어진순환도로 8
 
3.7%
방어동 7
 
3.2%
서부동 7
 
3.2%
전하동 6
 
2.8%
화정동 4
 
1.8%
봉수로 4
 
1.8%
명덕로 4
 
1.8%
10 2
 
0.9%
Other values (80) 86
39.6%
2023-12-12T17:52:17.754781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
185
18.0%
동 79
 
7.7%
산 49
 
4.8%
울 46
 
4.5%
광 45
 
4.4%
구 45
 
4.4%
역 44
 
4.3%
시 44
 
4.3%
) 34
 
3.3%
( 34
 
3.3%
Other values (80) 421
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 627
61.1%
Space Separator 185
 
18.0%
Decimal Number 136
 
13.3%
Close Punctuation 34
 
3.3%
Open Punctuation 34
 
3.3%
Other Punctuation 4
 
0.4%
Dash Punctuation 4
 
0.4%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 79
 
12.6%
산 49
 
7.8%
울 46
 
7.3%
광 45
 
7.2%
구 45
 
7.2%
역 44
 
7.0%
시 44
 
7.0%
로 23
 
3.7%
길 22
 
3.5%
어 18
 
2.9%
Other values (63) 212
33.8%
Decimal Number
ValueCountFrequency (%)
1 32
23.5%
2 17
12.5%
5 15
11.0%
3 14
10.3%
6 14
10.3%
7 11
 
8.1%
4 9
 
6.6%
0 9
 
6.6%
8 9
 
6.6%
9 6
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
185
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 627
61.1%
Common 397
38.7%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 79
 
12.6%
산 49
 
7.8%
울 46
 
7.3%
광 45
 
7.2%
구 45
 
7.2%
역 44
 
7.0%
시 44
 
7.0%
로 23
 
3.7%
길 22
 
3.5%
어 18
 
2.9%
Other values (63) 212
33.8%
Common
ValueCountFrequency (%)
185
46.6%
) 34
 
8.6%
( 34
 
8.6%
1 32
 
8.1%
2 17
 
4.3%
5 15
 
3.8%
3 14
 
3.5%
6 14
 
3.5%
7 11
 
2.8%
4 9
 
2.3%
Other values (5) 32
 
8.1%
Latin
ValueCountFrequency (%)
K 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 627
61.1%
ASCII 399
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
185
46.4%
) 34
 
8.5%
( 34
 
8.5%
1 32
 
8.0%
2 17
 
4.3%
5 15
 
3.8%
3 14
 
3.5%
6 14
 
3.5%
7 11
 
2.8%
4 9
 
2.3%
Other values (7) 34
 
8.5%
Hangul
ValueCountFrequency (%)
동 79
 
12.6%
산 49
 
7.8%
울 46
 
7.3%
광 45
 
7.2%
구 45
 
7.2%
역 44
 
7.0%
시 44
 
7.0%
로 23
 
3.7%
길 22
 
3.5%
어 18
 
2.9%
Other values (63) 212
33.8%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
울산광역시 동구
45 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row울산광역시 동구
2nd row울산광역시 동구
3rd row울산광역시 동구
4th row울산광역시 동구
5th row울산광역시 동구

Common Values

ValueCountFrequency (%)
울산광역시 동구 45
100.0%

Length

2023-12-12T17:52:17.868598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:52:17.947038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울산광역시 45
50.0%
동구 45
50.0%

담당부서 연락처
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
052-209-3564
45 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row052-209-3564
2nd row052-209-3564
3rd row052-209-3564
4th row052-209-3564
5th row052-209-3564

Common Values

ValueCountFrequency (%)
052-209-3564 45
100.0%

Length

2023-12-12T17:52:18.033982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:52:18.115722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
052-209-3564 45
100.0%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-08-16
45 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-16
2nd row2023-08-16
3rd row2023-08-16
4th row2023-08-16
5th row2023-08-16

Common Values

ValueCountFrequency (%)
2023-08-16 45
100.0%

Length

2023-12-12T17:52:18.201897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:52:18.287154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-16 45
100.0%

Interactions

2023-12-12T17:52:14.521493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:52:18.343145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명소재지 연락처소재지
연번1.0001.0001.0000.945
업소명1.0001.0001.0001.000
소재지 연락처1.0001.0001.0000.995
소재지0.9451.0000.9951.000

Missing values

2023-12-12T17:52:14.672123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:52:14.820700image/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

연번업소명소재지 연락처소재지담당부서담당부서 연락처기준일자
01울산동구노인요양원052-252-1100울산광역시 동구 방어진순환도로 1271(서부동)울산광역시 동구052-209-35642023-08-16
12꽃바위어린이집052-234-7723울산광역시 동구 꽃바위2가길 21 (방어동)울산광역시 동구052-209-35642023-08-16
23꾸러기어린이집052-233-3858울산광역시 동구 문재2길 35 (방어동)울산광역시 동구052-209-35642023-08-16
34남목어린이집052-232-2051울산광역시 동구 명덕6길 35 (서부동)울산광역시 동구052-209-35642023-08-16
45남목자연어린이집052-233-1007울산광역시 동구 남목2길 28울산광역시 동구052-209-35642023-08-16
56동구어린이집052-236-4509울산광역시 동구 진성11길 126 (전하동)울산광역시 동구052-209-35642023-08-16
67방어진어린이집052-236-1900울산광역시 동구 북진4길 55 (방어동)울산광역시 동구052-209-35642023-08-16
78사과나무어린이집052-201-9006울산광역시 동구 진성13길 8 (전하동)울산광역시 동구052-209-35642023-08-16
89선재어린이집052-201-5345울산광역시 동구 화잠6길 63 (방어동)울산광역시 동구052-209-35642023-08-16
910신나는어린이집052-252-0606울산광역시 동구 대송로 142-1 -1(화정동)울산광역시 동구052-209-35642023-08-16
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3536테라스파크052-233-4700울산광역시 동구 방어진순환도로 652 (일산동)울산광역시 동구052-209-35642023-08-16
3637로즈메디 산부인과052-234-3575울산광역시 동구 방어진순환도로 747 (전하동)울산광역시 동구052-209-35642023-08-16
3738동구보건소052-209-4080울산광역시 동구 봉수로 155 (대송동)울산광역시 동구052-209-35642023-08-16
3839상록수요양병원052-232-0100울산광역시 동구 진성8길 94 (전하동)울산광역시 동구052-209-35642023-08-16
3940울산대학교병원052-250-7000울산광역시 동구 대학병원로 25 (전하동)울산광역시 동구052-209-35642023-08-16
4041미래아동병원052-235-5533울산광역시 동구 방어진순환도로 1162 (서부동)울산광역시 동구052-209-35642023-08-16
4142효림요양병원052-252-7500울산광역시 동구 방어진순환도로 693-1(일산동)울산광역시 동구052-209-35642023-08-16
4243방어진마린요양병원052-911-9988울산광역시 동구 중진길 60 (세광중공업)울산광역시 동구052-209-35642023-08-16
4344홈플러스울산동구점052-230-8000울산광역시 동구 방어진순환도로 637 (일산동)울산광역시 동구052-209-35642023-08-16
4445대왕암스파랜드052-233-9101울산광역시 동구 등대로8-4 (화정동)울산광역시 동구052-209-35642023-08-16