Overview

Dataset statistics

Number of variables6
Number of observations177
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.6 KiB
Average record size in memory49.7 B

Variable types

Numeric1
Categorical1
Text3
DateTime1

Dataset

Description인천광역시 서구 실내공기질 관리대상 다중이용시설에 관한 데이터입니다. 시설군 형태, 시설명, 소재지, 연면적등의 항목을 제공합니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15040061&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 시설군형태High correlation
시설군형태 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 16:35:57.794556
Analysis finished2024-01-28 16:35:58.505591
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct177
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89
Minimum1
Maximum177
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-01-29T01:35:58.590385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.8
Q145
median89
Q3133
95-th percentile168.2
Maximum177
Range176
Interquartile range (IQR)88

Descriptive statistics

Standard deviation51.239633
Coefficient of variation (CV)0.57572621
Kurtosis-1.2
Mean89
Median Absolute Deviation (MAD)44
Skewness0
Sum15753
Variance2625.5
MonotonicityStrictly increasing
2024-01-29T01:35:58.760842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
134 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
116 1
 
0.6%
117 1
 
0.6%
118 1
 
0.6%
119 1
 
0.6%
120 1
 
0.6%
121 1
 
0.6%
Other values (167) 167
94.4%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
177 1
0.6%
176 1
0.6%
175 1
0.6%
174 1
0.6%
173 1
0.6%
172 1
0.6%
171 1
0.6%
170 1
0.6%
169 1
0.6%
168 1
0.6%

시설군형태
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
어린이집
51 
노인요양시설
32 
의료기관
24 
실내주차장
15 
PC영업시설
14 
Other values (9)
41 

Length

Max length6
Median length4
Mean length4.6666667
Min length3

Unique

Unique2 ?
Unique (%)1.1%

Sample

1st row박물관
2nd row도서관
3rd row도서관
4th row장례식장
5th row영화상영관

Common Values

ValueCountFrequency (%)
어린이집 51
28.8%
노인요양시설 32
18.1%
의료기관 24
13.6%
실내주차장 15
 
8.5%
PC영업시설 14
 
7.9%
지하역사 14
 
7.9%
대규모점포 8
 
4.5%
목욕장업 7
 
4.0%
산후조리원 4
 
2.3%
도서관 2
 
1.1%
Other values (4) 6
 
3.4%

Length

2024-01-29T01:35:58.947963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
어린이집 51
28.8%
노인요양시설 32
18.1%
의료기관 24
13.6%
실내주차장 15
 
8.5%
pc영업시설 14
 
7.9%
지하역사 14
 
7.9%
대규모점포 8
 
4.5%
목욕장업 7
 
4.0%
산후조리원 4
 
2.3%
도서관 2
 
1.1%
Other values (4) 6
 
3.4%

시설명
Text

Distinct167
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-01-29T01:35:59.253581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length8.7288136
Min length4

Characters and Unicode

Total characters1545
Distinct characters285
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

Unique157 ?
Unique (%)88.7%

Sample

1st row국립생물자원관
2nd row서구도서관(교육청)
3rd row마전도서관(인천시)
4th row㈜평화누리 국제성모병원장례식장
5th row롯데시네마 인천아시아드관
ValueCountFrequency (%)
인천2호선 14
 
5.9%
검단점 5
 
2.1%
의료법인 5
 
2.1%
pc 4
 
1.7%
루가의료재단 3
 
1.3%
3pop 3
 
1.3%
국공립 3
 
1.3%
모다아울렛 2
 
0.8%
cafe 2
 
0.8%
삼성홈플러스(가좌점 2
 
0.8%
Other values (183) 193
81.8%
2024-01-29T01:35:59.744012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 69
 
4.5%
이 65
 
4.2%
60
 
3.9%
린 53
 
3.4%
어 52
 
3.4%
집 50
 
3.2%
양 42
 
2.7%
인 42
 
2.7%
요 42
 
2.7%
천 36
 
2.3%
Other values (275) 1034
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1349
87.3%
Space Separator 60
 
3.9%
Uppercase Letter 52
 
3.4%
Lowercase Letter 27
 
1.7%
Decimal Number 19
 
1.2%
Close Punctuation 18
 
1.2%
Open Punctuation 17
 
1.1%
Other Symbol 2
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 69
 
5.1%
이 65
 
4.8%
린 53
 
3.9%
어 52
 
3.9%
집 50
 
3.7%
양 42
 
3.1%
인 42
 
3.1%
요 42
 
3.1%
천 36
 
2.7%
병 28
 
2.1%
Other values (240) 870
64.5%
Uppercase Letter
ValueCountFrequency (%)
P 18
34.6%
C 16
30.8%
J 3
 
5.8%
O 3
 
5.8%
T 2
 
3.8%
K 2
 
3.8%
S 1
 
1.9%
G 1
 
1.9%
L 1
 
1.9%
N 1
 
1.9%
Other values (4) 4
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
e 6
22.2%
a 4
14.8%
c 3
11.1%
h 2
 
7.4%
s 2
 
7.4%
f 2
 
7.4%
r 2
 
7.4%
t 2
 
7.4%
g 1
 
3.7%
k 1
 
3.7%
Other values (2) 2
 
7.4%
Decimal Number
ValueCountFrequency (%)
2 14
73.7%
3 3
 
15.8%
5 1
 
5.3%
7 1
 
5.3%
Space Separator
ValueCountFrequency (%)
60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1351
87.4%
Common 115
 
7.4%
Latin 79
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 69
 
5.1%
이 65
 
4.8%
린 53
 
3.9%
어 52
 
3.8%
집 50
 
3.7%
양 42
 
3.1%
인 42
 
3.1%
요 42
 
3.1%
천 36
 
2.7%
병 28
 
2.1%
Other values (241) 872
64.5%
Latin
ValueCountFrequency (%)
P 18
22.8%
C 16
20.3%
e 6
 
7.6%
a 4
 
5.1%
J 3
 
3.8%
O 3
 
3.8%
c 3
 
3.8%
h 2
 
2.5%
T 2
 
2.5%
K 2
 
2.5%
Other values (16) 20
25.3%
Common
ValueCountFrequency (%)
60
52.2%
) 18
 
15.7%
( 17
 
14.8%
2 14
 
12.2%
3 3
 
2.6%
5 1
 
0.9%
- 1
 
0.9%
7 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1349
87.3%
ASCII 193
 
12.5%
None 3
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 69
 
5.1%
이 65
 
4.8%
린 53
 
3.9%
어 52
 
3.9%
집 50
 
3.7%
양 42
 
3.1%
인 42
 
3.1%
요 42
 
3.1%
천 36
 
2.7%
병 28
 
2.1%
Other values (240) 870
64.5%
ASCII
ValueCountFrequency (%)
60
31.1%
) 18
 
9.3%
P 18
 
9.3%
( 17
 
8.8%
C 16
 
8.3%
2 14
 
7.3%
e 6
 
3.1%
a 4
 
2.1%
J 3
 
1.6%
O 3
 
1.6%
Other values (23) 34
17.6%
None
ValueCountFrequency (%)
㈜ 2
66.7%
é 1
33.3%

주소
Text

Distinct169
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-01-29T01:36:00.019638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length31
Mean length20.903955
Min length11

Characters and Unicode

Total characters3700
Distinct characters164
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

Unique161 ?
Unique (%)91.0%

Sample

1st row 서구 환경로 42 (경서동)
2nd row 서구 건지로334번길 45 (가좌동)
3rd row 서구 원당대로 563 (마전동)
4th row 서구 심곡로100번길 25 (심곡동)
5th row 서구 봉수대로 806 (연희동)
ValueCountFrequency (%)
서구 177
26.9%
석남동 14
 
2.1%
가정로 12
 
1.8%
가좌동 10
 
1.5%
마전동 10
 
1.5%
완정로 9
 
1.4%
서곶로 7
 
1.1%
신현동 7
 
1.1%
검단로 7
 
1.1%
심곡동 6
 
0.9%
Other values (310) 398
60.6%
2024-01-29T01:36:00.533269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
668
18.1%
서 207
 
5.6%
로 182
 
4.9%
구 177
 
4.8%
동 170
 
4.6%
) 169
 
4.6%
( 168
 
4.5%
1 134
 
3.6%
2 102
 
2.8%
길 90
 
2.4%
Other values (154) 1633
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1855
50.1%
Decimal Number 712
 
19.2%
Space Separator 668
 
18.1%
Close Punctuation 169
 
4.6%
Open Punctuation 168
 
4.5%
Other Punctuation 95
 
2.6%
Dash Punctuation 24
 
0.6%
Math Symbol 7
 
0.2%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 207
 
11.2%
로 182
 
9.8%
구 177
 
9.5%
동 170
 
9.2%
길 90
 
4.9%
번 81
 
4.4%
가 56
 
3.0%
정 39
 
2.1%
층 39
 
2.1%
곡 38
 
2.0%
Other values (135) 776
41.8%
Decimal Number
ValueCountFrequency (%)
1 134
18.8%
2 102
14.3%
3 83
11.7%
4 69
9.7%
7 63
8.8%
0 60
8.4%
8 60
8.4%
5 60
8.4%
6 47
 
6.6%
9 34
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 84
88.4%
. 11
 
11.6%
Uppercase Letter
ValueCountFrequency (%)
G 1
50.0%
L 1
50.0%
Space Separator
ValueCountFrequency (%)
668
100.0%
Close Punctuation
ValueCountFrequency (%)
) 169
100.0%
Open Punctuation
ValueCountFrequency (%)
( 168
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1855
50.1%
Common 1843
49.8%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 207
 
11.2%
로 182
 
9.8%
구 177
 
9.5%
동 170
 
9.2%
길 90
 
4.9%
번 81
 
4.4%
가 56
 
3.0%
정 39
 
2.1%
층 39
 
2.1%
곡 38
 
2.0%
Other values (135) 776
41.8%
Common
ValueCountFrequency (%)
668
36.2%
) 169
 
9.2%
( 168
 
9.1%
1 134
 
7.3%
2 102
 
5.5%
, 84
 
4.6%
3 83
 
4.5%
4 69
 
3.7%
7 63
 
3.4%
0 60
 
3.3%
Other values (7) 243
 
13.2%
Latin
ValueCountFrequency (%)
G 1
50.0%
L 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1855
50.1%
ASCII 1845
49.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
668
36.2%
) 169
 
9.2%
( 168
 
9.1%
1 134
 
7.3%
2 102
 
5.5%
, 84
 
4.6%
3 83
 
4.5%
4 69
 
3.7%
7 63
 
3.4%
0 60
 
3.3%
Other values (9) 245
 
13.3%
Hangul
ValueCountFrequency (%)
서 207
 
11.2%
로 182
 
9.8%
구 177
 
9.5%
동 170
 
9.2%
길 90
 
4.9%
번 81
 
4.4%
가 56
 
3.0%
정 39
 
2.1%
층 39
 
2.1%
곡 38
 
2.0%
Other values (135) 776
41.8%

연면적(제곱미터)
Text

Distinct175
Distinct (%)99.4%
Missing1
Missing (%)0.6%
Memory size1.5 KiB
2024-01-29T01:36:00.952866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length5.5284091
Min length3

Characters and Unicode

Total characters973
Distinct characters12
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

Unique174 ?
Unique (%)98.9%

Sample

1st row29119.89
2nd row3284
3rd row3119
4th row5573.92
5th row6472.03
ValueCountFrequency (%)
638 2
 
1.1%
2165.16 1
 
0.6%
2129.03 1
 
0.6%
1639.7 1
 
0.6%
779 1
 
0.6%
504 1
 
0.6%
889 1
 
0.6%
10793.49 1
 
0.6%
2424.66 1
 
0.6%
2370.41 1
 
0.6%
Other values (165) 165
93.8%
2024-01-29T01:36:02.038641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 110
11.3%
4 110
11.3%
1 104
10.7%
3 98
10.1%
6 92
9.5%
2 86
8.8%
8 82
8.4%
9 82
8.4%
5 77
7.9%
7 68
7.0%
Other values (2) 64
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 860
88.4%
Other Punctuation 113
 
11.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 110
12.8%
1 104
12.1%
3 98
11.4%
6 92
10.7%
2 86
10.0%
8 82
9.5%
9 82
9.5%
5 77
9.0%
7 68
7.9%
0 61
7.1%
Other Punctuation
ValueCountFrequency (%)
. 110
97.3%
, 3
 
2.7%

Most occurring scripts

ValueCountFrequency (%)
Common 973
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 110
11.3%
4 110
11.3%
1 104
10.7%
3 98
10.1%
6 92
9.5%
2 86
8.8%
8 82
8.4%
9 82
8.4%
5 77
7.9%
7 68
7.0%
Other values (2) 64
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 973
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 110
11.3%
4 110
11.3%
1 104
10.7%
3 98
10.1%
6 92
9.5%
2 86
8.8%
8 82
8.4%
9 82
8.4%
5 77
7.9%
7 68
7.0%
Other values (2) 64
6.6%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2023-10-16 00:00:00
Maximum2023-10-16 00:00:00
2024-01-29T01:36:02.188705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:36:02.302431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-29T01:35:58.174842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-29T01:36:02.401689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설군형태
연번1.0000.913
시설군형태0.9131.000
2024-01-29T01:36:02.520520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설군형태
연번1.0000.682
시설군형태0.6821.000

Missing values

2024-01-29T01:35:58.321885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T01:35:58.449825image/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

연번시설군형태시설명주소연면적(제곱미터)데이터기준일자
01박물관국립생물자원관서구 환경로 42 (경서동)29119.892023-10-16
12도서관서구도서관(교육청)서구 건지로334번길 45 (가좌동)32842023-10-16
23도서관마전도서관(인천시)서구 원당대로 563 (마전동)31192023-10-16
34장례식장㈜평화누리 국제성모병원장례식장서구 심곡로100번길 25 (심곡동)5573.922023-10-16
45영화상영관롯데시네마 인천아시아드관서구 봉수대로 806 (연희동)6472.032023-10-16
56영화상영관메가박스 검단점서구 서곶로 788,4층 (당하동, 홀리랜드)2802.932023-10-16
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