Overview

Dataset statistics

Number of variables4
Number of observations96
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory33.4 B

Variable types

Categorical2
Text2

Dataset

Description대구광역시 중구 실내공기질 관리대상시설에 대한 정보를 제공합니다.(시설군, 시설명, 소재지도로명주소, 데이터기준일자)
Author대구광역시 중구
URLhttps://www.data.go.kr/data/15073501/fileData.do

Alerts

데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2023-12-12 20:04:35.332774
Analysis finished2023-12-12 20:04:35.981302
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설군
Categorical

Distinct12
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size900.0 B
실내주차장
33 
의료기관
20 
대규모점포
지하역사
어린이집
Other values (7)
24 

Length

Max length13
Median length5
Mean length5.0520833
Min length2

Unique

Unique3 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
실내주차장 33
34.4%
의료기관 20
20.8%
대규모점포 7
 
7.3%
지하역사 6
 
6.2%
어린이집 6
 
6.2%
영화상영관 6
 
6.2%
인터넷컴퓨터게임시설제공업 6
 
6.2%
학원 5
 
5.2%
지하도상가 4
 
4.2%
노인요양시설 1
 
1.0%
Other values (2) 2
 
2.1%

Length

2023-12-13T05:04:36.034660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
실내주차장 33
34.4%
의료기관 20
20.8%
대규모점포 7
 
7.3%
지하역사 6
 
6.2%
어린이집 6
 
6.2%
영화상영관 6
 
6.2%
인터넷컴퓨터게임시설제공업 6
 
6.2%
학원 5
 
5.2%
지하도상가 4
 
4.2%
노인요양시설 1
 
1.0%
Other values (2) 2
 
2.1%
Distinct89
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size900.0 B
2023-12-13T05:04:36.199480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length8.9270833
Min length2

Characters and Unicode

Total characters857
Distinct characters219
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)85.4%

Sample

1st row중앙로역(1호선)
2nd row반월당역(1호선)
3rd row반월당역(2호선)
4th row명덕역(1호선)
5th row청라언덕역(2호선)
ValueCountFrequency (%)
대구점 4
 
3.4%
태왕스파크 2
 
1.7%
㈜서원유통 2
 
1.7%
현대백화점 2
 
1.7%
경북대학교병원 2
 
1.7%
탑마트 2
 
1.7%
롯데시네마 2
 
1.7%
경북대학교치과병원 2
 
1.7%
대백프라자 2
 
1.7%
민경엔터프라이즈㈜(구.자이유 2
 
1.7%
Other values (96) 97
81.5%
2023-12-13T05:04:36.478880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
 
4.3%
34
 
4.0%
28
 
3.3%
25
 
2.9%
20
 
2.3%
) 16
 
1.9%
( 16
 
1.9%
14
 
1.6%
14
 
1.6%
13
 
1.5%
Other values (209) 640
74.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 736
85.9%
Uppercase Letter 35
 
4.1%
Space Separator 25
 
2.9%
Close Punctuation 16
 
1.9%
Open Punctuation 16
 
1.9%
Other Symbol 12
 
1.4%
Decimal Number 11
 
1.3%
Other Punctuation 6
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
37
 
5.0%
34
 
4.6%
28
 
3.8%
20
 
2.7%
14
 
1.9%
14
 
1.9%
13
 
1.8%
11
 
1.5%
11
 
1.5%
11
 
1.5%
Other values (188) 543
73.8%
Uppercase Letter
ValueCountFrequency (%)
C 8
22.9%
P 6
17.1%
G 4
11.4%
M 4
11.4%
V 3
 
8.6%
B 2
 
5.7%
D 2
 
5.7%
O 1
 
2.9%
A 1
 
2.9%
L 1
 
2.9%
Other values (3) 3
 
8.6%
Decimal Number
ValueCountFrequency (%)
2 6
54.5%
1 4
36.4%
3 1
 
9.1%
Space Separator
ValueCountFrequency (%)
25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Other Symbol
ValueCountFrequency (%)
12
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 748
87.3%
Common 74
 
8.6%
Latin 35
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
37
 
4.9%
34
 
4.5%
28
 
3.7%
20
 
2.7%
14
 
1.9%
14
 
1.9%
13
 
1.7%
12
 
1.6%
11
 
1.5%
11
 
1.5%
Other values (189) 554
74.1%
Latin
ValueCountFrequency (%)
C 8
22.9%
P 6
17.1%
G 4
11.4%
M 4
11.4%
V 3
 
8.6%
B 2
 
5.7%
D 2
 
5.7%
O 1
 
2.9%
A 1
 
2.9%
L 1
 
2.9%
Other values (3) 3
 
8.6%
Common
ValueCountFrequency (%)
25
33.8%
) 16
21.6%
( 16
21.6%
. 6
 
8.1%
2 6
 
8.1%
1 4
 
5.4%
3 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 736
85.9%
ASCII 109
 
12.7%
None 12
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
37
 
5.0%
34
 
4.6%
28
 
3.8%
20
 
2.7%
14
 
1.9%
14
 
1.9%
13
 
1.8%
11
 
1.5%
11
 
1.5%
11
 
1.5%
Other values (188) 543
73.8%
ASCII
ValueCountFrequency (%)
25
22.9%
) 16
14.7%
( 16
14.7%
C 8
 
7.3%
. 6
 
5.5%
P 6
 
5.5%
2 6
 
5.5%
G 4
 
3.7%
M 4
 
3.7%
1 4
 
3.7%
Other values (10) 14
12.8%
None
ValueCountFrequency (%)
12
100.0%
Distinct87
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size900.0 B
2023-12-13T05:04:36.678287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length42
Mean length27.53125
Min length16

Characters and Unicode

Total characters2643
Distinct characters126
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

Unique81 ?
Unique (%)84.4%

Sample

1st row대구광역시 중구 중앙대로 지하424(남일동)
2nd row대구광역시 중구 달구벌대로 지하2100(덕산동)
3rd row대구광역시 중구 달구벌대로 지하2100(덕산동)
4th row대구광역시 중구 명덕로 지하185(남산동)
5th row대구광역시 중구 달구벌대로 지하2000(남산동)
ValueCountFrequency (%)
대구광역시 95
21.3%
중구 95
21.3%
달구벌대로 22
 
4.9%
국채보상로 17
 
3.8%
중앙대로 9
 
2.0%
동성로 6
 
1.3%
동덕로 5
 
1.1%
동성로3길 4
 
0.9%
명덕로 4
 
0.9%
태평로 4
 
0.9%
Other values (157) 185
41.5%
2023-12-13T05:04:37.164999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
350
 
13.2%
216
 
8.2%
149
 
5.6%
125
 
4.7%
112
 
4.2%
107
 
4.0%
( 96
 
3.6%
96
 
3.6%
) 96
 
3.6%
95
 
3.6%
Other values (116) 1201
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1611
61.0%
Decimal Number 423
 
16.0%
Space Separator 350
 
13.2%
Open Punctuation 96
 
3.6%
Close Punctuation 96
 
3.6%
Other Punctuation 54
 
2.0%
Dash Punctuation 8
 
0.3%
Uppercase Letter 3
 
0.1%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
216
13.4%
149
 
9.2%
125
 
7.8%
112
 
7.0%
107
 
6.6%
96
 
6.0%
95
 
5.9%
95
 
5.9%
45
 
2.8%
35
 
2.2%
Other values (96) 536
33.3%
Decimal Number
ValueCountFrequency (%)
2 87
20.6%
1 77
18.2%
3 51
12.1%
0 45
10.6%
5 40
9.5%
6 37
8.7%
4 24
 
5.7%
9 23
 
5.4%
7 22
 
5.2%
8 17
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
33.3%
A 1
33.3%
B 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 53
98.1%
/ 1
 
1.9%
Space Separator
ValueCountFrequency (%)
350
100.0%
Open Punctuation
ValueCountFrequency (%)
( 96
100.0%
Close Punctuation
ValueCountFrequency (%)
) 96
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1611
61.0%
Common 1029
38.9%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
216
13.4%
149
 
9.2%
125
 
7.8%
112
 
7.0%
107
 
6.6%
96
 
6.0%
95
 
5.9%
95
 
5.9%
45
 
2.8%
35
 
2.2%
Other values (96) 536
33.3%
Common
ValueCountFrequency (%)
350
34.0%
( 96
 
9.3%
) 96
 
9.3%
2 87
 
8.5%
1 77
 
7.5%
, 53
 
5.2%
3 51
 
5.0%
0 45
 
4.4%
5 40
 
3.9%
6 37
 
3.6%
Other values (7) 97
 
9.4%
Latin
ValueCountFrequency (%)
L 1
33.3%
A 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1611
61.0%
ASCII 1032
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
350
33.9%
( 96
 
9.3%
) 96
 
9.3%
2 87
 
8.4%
1 77
 
7.5%
, 53
 
5.1%
3 51
 
4.9%
0 45
 
4.4%
5 40
 
3.9%
6 37
 
3.6%
Other values (10) 100
 
9.7%
Hangul
ValueCountFrequency (%)
216
13.4%
149
 
9.2%
125
 
7.8%
112
 
7.0%
107
 
6.6%
96
 
6.0%
95
 
5.9%
95
 
5.9%
45
 
2.8%
35
 
2.2%
Other values (96) 536
33.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
2022-08-26
96 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-08-26
2nd row2022-08-26
3rd row2022-08-26
4th row2022-08-26
5th row2022-08-26

Common Values

ValueCountFrequency (%)
2022-08-26 96
100.0%

Length

2023-12-13T05:04:37.349710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:04:37.470223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-08-26 96
100.0%

Correlations

2023-12-13T05:04:37.555228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설군시설명소재지도로명주소
시설군1.0000.9350.859
시설명0.9351.0000.998
소재지도로명주소0.8590.9981.000

Missing values

2023-12-13T05:04:35.892518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:04:35.955054image/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

시설군시설명소재지도로명주소데이터기준일자
0지하역사중앙로역(1호선)대구광역시 중구 중앙대로 지하424(남일동)2022-08-26
1지하역사반월당역(1호선)대구광역시 중구 달구벌대로 지하2100(덕산동)2022-08-26
2지하역사반월당역(2호선)대구광역시 중구 달구벌대로 지하2100(덕산동)2022-08-26
3지하역사명덕역(1호선)대구광역시 중구 명덕로 지하185(남산동)2022-08-26
4지하역사청라언덕역(2호선)대구광역시 중구 달구벌대로 지하2000(남산동)2022-08-26
5지하역사경대병원역(2호선)대구광역시 중구 달구벌대로 지하2190(삼덕동2가)2022-08-26
6지하도상가대신지하상가대구광역시 중구 국채보상로 지하470(대신동)2022-08-26
7지하도상가㈜대현프리몰대구광역시 중구 국채보상로 지하580(동성로2가, 대현프리몰) 전기실2022-08-26
8지하도상가㈜메트로센터대구광역시 중구 달구벌대로 지하2100(덕산동)2022-08-26
9지하도상가메트로프라자대구광역시 중구 달구벌대로 지하2160(봉산동)2022-08-26
시설군시설명소재지도로명주소데이터기준일자
86실내주차장서문시장2지구종합상가 주차장대구광역시 중구 큰장로26길 25(대신동)2022-08-26
87실내주차장대구콘서트하우스대구광역시 중구 태평로 141(태평로2가) 대구콘서트하우스관리소2022-08-26
88실내주차장디스퀘어몰대구광역시 중구 동성로3길 20(삼덕동1가) 관리사무실2022-08-26
89실내주차장한라비엠(화성파크드림시티)대구광역시 중구 국채보상로 655(동인동2가)2022-08-26
90실내주차장경일빌딩대구광역시 중구 달구벌대로 2195(삼덕동2가, 경일빌딩) 기전실2022-08-26
91실내주차장㈜서원유통 탑마트 대구점대구광역시 중구 중앙대로66길 20(남산동)2022-08-26
92실내주차장김광석길 공영주차장대구광역시 중구 신천대로 677(대봉동)2022-08-26
93실내주차장반월당클래시아2차대구광역시 중구 명륜로23길 106(봉산동)2022-08-26
94실내주차장태왕스파크대구광역시 중구 동성로6길 61(공평동)2022-08-26
95실내주차장삼덕교회대구광역시 중구 공평로4길 11(삼덕동2가)2022-08-26