Overview

Dataset statistics

Number of variables5
Number of observations75
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory42.8 B

Variable types

Numeric1
Categorical1
Text2
DateTime1

Dataset

Description인천광역시 중구 관내에 위치한 실내공기질 측정대상 다중이용시설에 대한 데이터 입니다.파일명 인천광역시_중구_ 실내공기질 측정대상 다중이용시설파일내용 시설군 형태, 시설명, 소재지 등
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15086266&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 시설군 형태High correlation
시설군 형태 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-18 05:56:32.286568
Analysis finished2024-03-18 05:56:34.927278
Duration2.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38
Minimum1
Maximum75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-03-18T14:56:35.023623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.7
Q119.5
median38
Q356.5
95-th percentile71.3
Maximum75
Range74
Interquartile range (IQR)37

Descriptive statistics

Standard deviation21.794495
Coefficient of variation (CV)0.57353933
Kurtosis-1.2
Mean38
Median Absolute Deviation (MAD)19
Skewness0
Sum2850
Variance475
MonotonicityStrictly increasing
2024-03-18T14:56:35.230349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.3%
49 1
 
1.3%
56 1
 
1.3%
55 1
 
1.3%
54 1
 
1.3%
53 1
 
1.3%
52 1
 
1.3%
51 1
 
1.3%
50 1
 
1.3%
48 1
 
1.3%
Other values (65) 65
86.7%
ValueCountFrequency (%)
1 1
1.3%
2 1
1.3%
3 1
1.3%
4 1
1.3%
5 1
1.3%
6 1
1.3%
7 1
1.3%
8 1
1.3%
9 1
1.3%
10 1
1.3%
ValueCountFrequency (%)
75 1
1.3%
74 1
1.3%
73 1
1.3%
72 1
1.3%
71 1
1.3%
70 1
1.3%
69 1
1.3%
68 1
1.3%
67 1
1.3%
66 1
1.3%

시설군 형태
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
실내주차장
21 
노인요양시설
11 
어린이집
11 
의료기관
지하도상가
Other values (9)
20 

Length

Max length8
Median length6
Mean length4.8266667
Min length3

Unique

Unique3 ?
Unique (%)4.0%

Sample

1st row게임방
2nd row게임방
3rd row공항시설
4th row공항시설
5th row공항시설

Common Values

ValueCountFrequency (%)
실내주차장 21
28.0%
노인요양시설 11
14.7%
어린이집 11
14.7%
의료기관 7
 
9.3%
지하도상가 5
 
6.7%
지하역사 5
 
6.7%
공항시설 3
 
4.0%
목욕장(찜질방) 3
 
4.0%
게임방 2
 
2.7%
대규모점포 2
 
2.7%
Other values (4) 5
 
6.7%

Length

2024-03-18T14:56:35.401783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
실내주차장 21
28.0%
노인요양시설 11
14.7%
어린이집 11
14.7%
의료기관 7
 
9.3%
지하도상가 5
 
6.7%
지하역사 5
 
6.7%
공항시설 3
 
4.0%
목욕장(찜질방 3
 
4.0%
게임방 2
 
2.7%
대규모점포 2
 
2.7%
Other values (4) 5
 
6.7%
Distinct71
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
2024-03-18T14:56:35.680263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length8
Min length4

Characters and Unicode

Total characters600
Distinct characters163
Distinct categories5 ?
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 (%)90.7%

Sample

1st row유니넷PC존
2nd row프랜드PC방
3rd row인천국제공항 1여객터미널
4th row인천국제공항 2여객터미널
5th row인천국제공항 탑승동
ValueCountFrequency (%)
인천국제공항 4
 
4.4%
인하대병원 3
 
3.3%
동인천점 2
 
2.2%
더위크앤리조트 2
 
2.2%
㈜신세계이마트 2
 
2.2%
블루오션 2
 
2.2%
인천항 2
 
2.2%
수인선 2
 
2.2%
인천삼성요양병원 1
 
1.1%
애관극장 1
 
1.1%
Other values (69) 69
76.7%
2024-03-18T14:56:36.112131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33
 
5.5%
27
 
4.5%
21
 
3.5%
17
 
2.8%
15
 
2.5%
15
 
2.5%
14
 
2.3%
14
 
2.3%
12
 
2.0%
12
 
2.0%
Other values (153) 420
70.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 560
93.3%
Space Separator 15
 
2.5%
Uppercase Letter 14
 
2.3%
Decimal Number 8
 
1.3%
Other Symbol 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
33
 
5.9%
27
 
4.8%
21
 
3.8%
17
 
3.0%
15
 
2.7%
14
 
2.5%
14
 
2.5%
12
 
2.1%
12
 
2.1%
12
 
2.1%
Other values (142) 383
68.4%
Uppercase Letter
ValueCountFrequency (%)
C 5
35.7%
P 3
21.4%
B 2
 
14.3%
D 1
 
7.1%
I 1
 
7.1%
A 1
 
7.1%
M 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 4
50.0%
1 4
50.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 563
93.8%
Common 23
 
3.8%
Latin 14
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
33
 
5.9%
27
 
4.8%
21
 
3.7%
17
 
3.0%
15
 
2.7%
14
 
2.5%
14
 
2.5%
12
 
2.1%
12
 
2.1%
12
 
2.1%
Other values (143) 386
68.6%
Latin
ValueCountFrequency (%)
C 5
35.7%
P 3
21.4%
B 2
 
14.3%
D 1
 
7.1%
I 1
 
7.1%
A 1
 
7.1%
M 1
 
7.1%
Common
ValueCountFrequency (%)
15
65.2%
2 4
 
17.4%
1 4
 
17.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 560
93.3%
ASCII 37
 
6.2%
None 3
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
33
 
5.9%
27
 
4.8%
21
 
3.8%
17
 
3.0%
15
 
2.7%
14
 
2.5%
14
 
2.5%
12
 
2.1%
12
 
2.1%
12
 
2.1%
Other values (142) 383
68.4%
ASCII
ValueCountFrequency (%)
15
40.5%
C 5
 
13.5%
2 4
 
10.8%
1 4
 
10.8%
P 3
 
8.1%
B 2
 
5.4%
D 1
 
2.7%
I 1
 
2.7%
A 1
 
2.7%
M 1
 
2.7%
None
ValueCountFrequency (%)
3
100.0%
Distinct63
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
2024-03-18T14:56:36.394036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length17.88
Min length15

Characters and Unicode

Total characters1341
Distinct characters74
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)74.7%

Sample

1st row인천광역시 중구 홍예문로90
2nd row인천광역시 중구 우현로87번길 17
3rd row인천광역시 중구 공항로 271
4th row인천광역시 중구 공항로 271
5th row인천광역시 중구 공항로 271
ValueCountFrequency (%)
인천광역시 75
26.0%
중구 75
26.0%
참외전로 6
 
2.1%
117-15 5
 
1.7%
인항로 4
 
1.4%
제물량로 4
 
1.4%
홍예문로 3
 
1.0%
개항로 3
 
1.0%
인중로 3
 
1.0%
27 3
 
1.0%
Other values (88) 107
37.2%
2024-03-18T14:56:36.808585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
213
15.9%
82
 
6.1%
79
 
5.9%
75
 
5.6%
75
 
5.6%
75
 
5.6%
75
 
5.6%
75
 
5.6%
74
 
5.5%
1 63
 
4.7%
Other values (64) 455
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 858
64.0%
Decimal Number 255
 
19.0%
Space Separator 213
 
15.9%
Dash Punctuation 15
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
82
9.6%
79
9.2%
75
 
8.7%
75
 
8.7%
75
 
8.7%
75
 
8.7%
75
 
8.7%
74
 
8.6%
27
 
3.1%
26
 
3.0%
Other values (52) 195
22.7%
Decimal Number
ValueCountFrequency (%)
1 63
24.7%
2 36
14.1%
7 33
12.9%
3 22
 
8.6%
6 20
 
7.8%
9 20
 
7.8%
4 18
 
7.1%
0 16
 
6.3%
5 14
 
5.5%
8 13
 
5.1%
Space Separator
ValueCountFrequency (%)
213
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 858
64.0%
Common 483
36.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
82
9.6%
79
9.2%
75
 
8.7%
75
 
8.7%
75
 
8.7%
75
 
8.7%
75
 
8.7%
74
 
8.6%
27
 
3.1%
26
 
3.0%
Other values (52) 195
22.7%
Common
ValueCountFrequency (%)
213
44.1%
1 63
 
13.0%
2 36
 
7.5%
7 33
 
6.8%
3 22
 
4.6%
6 20
 
4.1%
9 20
 
4.1%
4 18
 
3.7%
0 16
 
3.3%
- 15
 
3.1%
Other values (2) 27
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 858
64.0%
ASCII 483
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
213
44.1%
1 63
 
13.0%
2 36
 
7.5%
7 33
 
6.8%
3 22
 
4.6%
6 20
 
4.1%
9 20
 
4.1%
4 18
 
3.7%
0 16
 
3.3%
- 15
 
3.1%
Other values (2) 27
 
5.6%
Hangul
ValueCountFrequency (%)
82
9.6%
79
9.2%
75
 
8.7%
75
 
8.7%
75
 
8.7%
75
 
8.7%
75
 
8.7%
74
 
8.6%
27
 
3.1%
26
 
3.0%
Other values (52) 195
22.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
Minimum2023-08-19 00:00:00
Maximum2023-08-19 00:00:00
2024-03-18T14:56:36.968638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:56:37.120332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-18T14:56:34.509397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T14:56:37.221925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설군 형태시설명소재지
연번1.0000.9050.9110.937
시설군 형태0.9051.0000.0000.918
시설명0.9110.0001.0001.000
소재지0.9370.9181.0001.000
2024-03-18T14:56:37.362217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설군 형태
연번1.0000.648
시설군 형태0.6481.000

Missing values

2024-03-18T14:56:34.736792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T14:56:34.860876image/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

연번시설군 형태시설명소재지데이터기준일자
01게임방유니넷PC존인천광역시 중구 홍예문로902023-08-19
12게임방프랜드PC방인천광역시 중구 우현로87번길 172023-08-19
23공항시설인천국제공항 1여객터미널인천광역시 중구 공항로 2712023-08-19
34공항시설인천국제공항 2여객터미널인천광역시 중구 공항로 2712023-08-19
45공항시설인천국제공항 탑승동인천광역시 중구 공항로 2712023-08-19
56노인요양시설가족같은효성요양원인천광역시 중구 연안부두로55번길 52023-08-19
67노인요양시설예봄요양원인천광역시 중구 우현로67번길 1-62023-08-19
78노인요양시설다정노인요양원인천광역시 중구 개항로 722023-08-19
89노인요양시설수요양원인천광역시 중구 큰우물로 162023-08-19
910노인요양시설우리들효요양원인천광역시 중구 인중로 1782023-08-19
연번시설군 형태시설명소재지데이터기준일자
6566지하도상가새동인천지하상가인천광역시 중구 참외전로 117-152023-08-19
6667지하도상가중앙로지하상가인천광역시 중구 참외전로 117-152023-08-19
6768지하도상가신포지하상가인천광역시 중구 참외전로 117-152023-08-19
6869지하역사수인선 인천역인천광역시 중구 제물량로 2692023-08-19
6970지하역사수인선 신포역인천광역시 중구 우현로 지하32023-08-19
7071지하역사인천국제공항1터미널역인천광역시 중구 공항로2712023-08-19
7172지하역사인천국제공항2터미널역인천광역시 중구 제2터미널대로 4442023-08-19
7273지하역사공항화물청사역인천광역시 중구 공항동로135번길862023-08-19
7374항만대합실인천항 제2국제여객터미널인천광역시 중구 내항로 2002023-08-19
7475항만대합실인천항 제1국제여객터미널인천광역시 중구 연안부두로 882023-08-19