Overview

Dataset statistics

Number of variables3
Number of observations72
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory26.8 B

Variable types

Numeric1
Text2

Dataset

Description실내공기질을 유지기준에 적합하게 관리하여 그 시설을 이용하는 국민의 건강을 보호하고 환경상의 위해를 예방하기 위하여 다중이용시설 중 실내공기질 관리대상 현황자료를 첨부합니다.
Author경상북도 경주시
URLhttps://www.data.go.kr/data/15086336/fileData.do

Alerts

연 번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:05:12.180533
Analysis finished2023-12-12 17:05:14.065978
Duration1.89 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연 번
Real number (ℝ)

UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.5
Minimum1
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-13T02:05:14.153912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.55
Q118.75
median36.5
Q354.25
95-th percentile68.45
Maximum72
Range71
Interquartile range (IQR)35.5

Descriptive statistics

Standard deviation20.92845
Coefficient of variation (CV)0.57338218
Kurtosis-1.2
Mean36.5
Median Absolute Deviation (MAD)18
Skewness0
Sum2628
Variance438
MonotonicityStrictly increasing
2023-12-13T02:05:14.300496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
38 1
 
1.4%
54 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
Other values (62) 62
86.1%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
72 1
1.4%
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%

시 설 명
Text

Distinct70
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size708.0 B
2023-12-13T02:05:14.578330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length9.1805556
Min length3

Characters and Unicode

Total characters661
Distinct characters195
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)94.4%

Sample

1st row신경주역
2nd row경주시립도서관
3rd row국립경주박물관
4th row우양미술관
5th row경주시립노인전문요양병원
ValueCountFrequency (%)
경주 3
 
3.4%
동국대학교의료원(경주 2
 
2.2%
화백컨벤션센터 2
 
2.2%
영남권 1
 
1.1%
현대자동차그룹 1
 
1.1%
푸르뫼어린이집 1
 
1.1%
한수원 1
 
1.1%
신경주역 1
 
1.1%
한수원도담어린이집 1
 
1.1%
신축 1
 
1.1%
Other values (75) 75
84.3%
2023-12-13T02:05:15.082248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 30
 
4.5%
이 25
 
3.8%
주 25
 
3.8%
경 24
 
3.6%
집 23
 
3.5%
린 21
 
3.2%
어 21
 
3.2%
병 20
 
3.0%
양 18
 
2.7%
요 17
 
2.6%
Other values (185) 437
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 602
91.1%
Space Separator 17
 
2.6%
Open Punctuation 15
 
2.3%
Close Punctuation 15
 
2.3%
Other Symbol 3
 
0.5%
Other Punctuation 3
 
0.5%
Lowercase Letter 2
 
0.3%
Uppercase Letter 2
 
0.3%
Decimal Number 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 30
 
5.0%
이 25
 
4.2%
주 25
 
4.2%
경 24
 
4.0%
집 23
 
3.8%
린 21
 
3.5%
어 21
 
3.5%
병 20
 
3.3%
양 18
 
3.0%
요 17
 
2.8%
Other values (173) 378
62.8%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
p 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
R 1
50.0%
V 1
50.0%
Decimal Number
ValueCountFrequency (%)
0 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 605
91.5%
Common 52
 
7.9%
Latin 4
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 30
 
5.0%
이 25
 
4.1%
주 25
 
4.1%
경 24
 
4.0%
집 23
 
3.8%
린 21
 
3.5%
어 21
 
3.5%
병 20
 
3.3%
양 18
 
3.0%
요 17
 
2.8%
Other values (174) 381
63.0%
Common
ValueCountFrequency (%)
17
32.7%
( 15
28.8%
) 15
28.8%
. 2
 
3.8%
, 1
 
1.9%
0 1
 
1.9%
2 1
 
1.9%
Latin
ValueCountFrequency (%)
c 1
25.0%
p 1
25.0%
R 1
25.0%
V 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 602
91.1%
ASCII 56
 
8.5%
None 3
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 30
 
5.0%
이 25
 
4.2%
주 25
 
4.2%
경 24
 
4.0%
집 23
 
3.8%
린 21
 
3.5%
어 21
 
3.5%
병 20
 
3.3%
양 18
 
3.0%
요 17
 
2.8%
Other values (173) 378
62.8%
ASCII
ValueCountFrequency (%)
17
30.4%
( 15
26.8%
) 15
26.8%
. 2
 
3.6%
, 1
 
1.8%
c 1
 
1.8%
p 1
 
1.8%
R 1
 
1.8%
V 1
 
1.8%
0 1
 
1.8%
None
ValueCountFrequency (%)
㈜ 3
100.0%

주 소
Text

Distinct68
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size708.0 B
2023-12-13T02:05:15.381322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length24
Mean length18.930556
Min length11

Characters and Unicode

Total characters1363
Distinct characters128
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

Unique64 ?
Unique (%)88.9%

Sample

1st row경주시 건천읍 신경주역로 80
2nd row경주시 원화로 431-12(황성동)
3rd row경주시 일정로 186(인왕동)
4th row경주시 보문로 484-7(신평동, 보문로)
5th row경주시 현곡면 충현로 610-120(상구리)
ValueCountFrequency (%)
경주시 72
26.6%
보문로 12
 
4.4%
안강읍 6
 
2.2%
경상북도 6
 
2.2%
현곡면 5
 
1.8%
충현로 4
 
1.5%
원화로 4
 
1.5%
155 3
 
1.1%
507 3
 
1.1%
동국대학병원(석장동 2
 
0.7%
Other values (136) 154
56.8%
2023-12-13T02:05:15.902845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
203
 
14.9%
경 82
 
6.0%
시 74
 
5.4%
주 74
 
5.4%
동 56
 
4.1%
로 53
 
3.9%
( 51
 
3.7%
) 51
 
3.7%
1 45
 
3.3%
2 37
 
2.7%
Other values (118) 637
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 776
56.9%
Decimal Number 252
 
18.5%
Space Separator 203
 
14.9%
Open Punctuation 51
 
3.7%
Close Punctuation 51
 
3.7%
Dash Punctuation 27
 
2.0%
Other Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 82
 
10.6%
시 74
 
9.5%
주 74
 
9.5%
동 56
 
7.2%
로 53
 
6.8%
길 30
 
3.9%
강 15
 
1.9%
문 14
 
1.8%
구 12
 
1.5%
현 12
 
1.5%
Other values (103) 354
45.6%
Decimal Number
ValueCountFrequency (%)
1 45
17.9%
2 37
14.7%
5 31
12.3%
3 29
11.5%
7 21
8.3%
6 21
8.3%
4 20
7.9%
8 20
7.9%
0 17
 
6.7%
9 11
 
4.4%
Space Separator
ValueCountFrequency (%)
203
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 776
56.9%
Common 587
43.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 82
 
10.6%
시 74
 
9.5%
주 74
 
9.5%
동 56
 
7.2%
로 53
 
6.8%
길 30
 
3.9%
강 15
 
1.9%
문 14
 
1.8%
구 12
 
1.5%
현 12
 
1.5%
Other values (103) 354
45.6%
Common
ValueCountFrequency (%)
203
34.6%
( 51
 
8.7%
) 51
 
8.7%
1 45
 
7.7%
2 37
 
6.3%
5 31
 
5.3%
3 29
 
4.9%
- 27
 
4.6%
7 21
 
3.6%
6 21
 
3.6%
Other values (5) 71
 
12.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 776
56.9%
ASCII 587
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
203
34.6%
( 51
 
8.7%
) 51
 
8.7%
1 45
 
7.7%
2 37
 
6.3%
5 31
 
5.3%
3 29
 
4.9%
- 27
 
4.6%
7 21
 
3.6%
6 21
 
3.6%
Other values (5) 71
 
12.1%
Hangul
ValueCountFrequency (%)
경 82
 
10.6%
시 74
 
9.5%
주 74
 
9.5%
동 56
 
7.2%
로 53
 
6.8%
길 30
 
3.9%
강 15
 
1.9%
문 14
 
1.8%
구 12
 
1.5%
현 12
 
1.5%
Other values (103) 354
45.6%

Interactions

2023-12-13T02:05:13.735373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:05:16.034754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연 번시 설 명주 소
연 번1.0000.8930.905
시 설 명0.8931.0001.000
주 소0.9051.0001.000

Missing values

2023-12-13T02:05:13.938442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:05:14.026874image/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

연 번시 설 명주 소
01신경주역경주시 건천읍 신경주역로 80
12경주시립도서관경주시 원화로 431-12(황성동)
23국립경주박물관경주시 일정로 186(인왕동)
34우양미술관경주시 보문로 484-7(신평동, 보문로)
45경주시립노인전문요양병원경주시 현곡면 충현로 610-120(상구리)
56청하요양병원 인왕점경주시 원화로 168(인왕동)
67동국대학교의료원(경주)경주시 동대로 87 동국대학병원(석장동)
78안강중앙병원경주시 안강읍 안강중앙로 150-3(산대리)
89새빛병원(성산의료재단)경주시 원효로 93-1(노동동)
910새천년병원경주시 화랑로 129(성동동)
연 번시 설 명주 소
6263쓰리디팩토리(엠브이알, 밀레니엄VR)경상북도 경주시 보문로 507 (신평동)
6364해피로pc노동점경상북도 경주시 계림로 107, 천년빌딩 3층 (노동동)
6465켄싱턴리조트경주시 보문로 182-29
6566한화콘도(경주한화리조트)경주시 보문로 182-27
6667㈜더케이호텔경주경주시 엑스포로 45
6768현대중공업㈜ 호텔현대경주(라한셀렉트 경주)경주시 보문로 338
6869일성레저산업㈜경주지점(일성경주보문리조트)경주시 보문로 365
6970대명리조트 경주(소노벨)(소노호텔앤리조트)경주시 보문로 402-12
7071화백컨벤션센터경주시 보문로 507
7172현대자동차그룹 영남권 교육 연구시설경주시 양남면 양남로 175-27