Overview

Dataset statistics

Number of variables8
Number of observations103
Missing cells8
Missing cells (%)1.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.0 KiB
Average record size in memory69.3 B

Variable types

Numeric4
Text3
Categorical1

Dataset

Description인천광역시 연수구 실내공기질 측정대상 다중이용시설 현황 공공데이터로서 연번, 시설명, 시설군형태, 시설면적, 위치, 연락처 등의 항목으로 이루어져 있습니다.
Author인천광역시 연수구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15087421&srcSe=7661IVAWM27C61E190

Alerts

연번 is highly overall correlated with 시설군 형태High correlation
시설군 형태 is highly overall correlated with 연번High correlation
연락처 has 8 (7.8%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-05-03 19:32:24.735988
Analysis finished2024-05-03 19:32:30.905939
Duration6.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52
Minimum1
Maximum103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-03T19:32:31.140680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.1
Q126.5
median52
Q377.5
95-th percentile97.9
Maximum103
Range102
Interquartile range (IQR)51

Descriptive statistics

Standard deviation29.877528
Coefficient of variation (CV)0.57456784
Kurtosis-1.2
Mean52
Median Absolute Deviation (MAD)26
Skewness0
Sum5356
Variance892.66667
MonotonicityStrictly increasing
2024-05-03T19:32:31.543647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
2 1
 
1.0%
77 1
 
1.0%
76 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
Other values (93) 93
90.3%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
103 1
1.0%
102 1
1.0%
101 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%

시설명
Text

Distinct99
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size956.0 B
2024-05-03T19:32:32.076337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length7.407767
Min length3

Characters and Unicode

Total characters763
Distinct characters215
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)92.2%

Sample

1st row롯데마트 연수점
2nd row이마트 연수점
3rd row홈플러스 인천연수점
4th row스퀘어원
5th row엘에프네트웍스연수점
ValueCountFrequency (%)
연수점 4
 
3.1%
pc 3
 
2.3%
롯데마트 2
 
1.5%
인천연수점 2
 
1.5%
bob 2
 
1.5%
cafe 2
 
1.5%
이마트 2
 
1.5%
키즈카페 2
 
1.5%
홈플러스 2
 
1.5%
나사렛국제병원 2
 
1.5%
Other values (104) 108
82.4%
2024-05-03T19:32:33.060066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 31
 
4.1%
29
 
3.8%
린 25
 
3.3%
어 23
 
3.0%
집 22
 
2.9%
원 22
 
2.9%
수 18
 
2.4%
인 18
 
2.4%
연 17
 
2.2%
천 14
 
1.8%
Other values (205) 544
71.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 676
88.6%
Uppercase Letter 45
 
5.9%
Space Separator 29
 
3.8%
Decimal Number 7
 
0.9%
Open Punctuation 3
 
0.4%
Close Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 31
 
4.6%
린 25
 
3.7%
어 23
 
3.4%
집 22
 
3.3%
원 22
 
3.3%
수 18
 
2.7%
인 18
 
2.7%
연 17
 
2.5%
천 14
 
2.1%
스 14
 
2.1%
Other values (183) 472
69.8%
Uppercase Letter
ValueCountFrequency (%)
C 13
28.9%
P 9
20.0%
A 4
 
8.9%
B 4
 
8.9%
V 2
 
4.4%
G 2
 
4.4%
E 2
 
4.4%
F 2
 
4.4%
O 2
 
4.4%
M 1
 
2.2%
Other values (4) 4
 
8.9%
Decimal Number
ValueCountFrequency (%)
2 3
42.9%
3 1
 
14.3%
1 1
 
14.3%
5 1
 
14.3%
4 1
 
14.3%
Space Separator
ValueCountFrequency (%)
29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 676
88.6%
Latin 45
 
5.9%
Common 42
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 31
 
4.6%
린 25
 
3.7%
어 23
 
3.4%
집 22
 
3.3%
원 22
 
3.3%
수 18
 
2.7%
인 18
 
2.7%
연 17
 
2.5%
천 14
 
2.1%
스 14
 
2.1%
Other values (183) 472
69.8%
Latin
ValueCountFrequency (%)
C 13
28.9%
P 9
20.0%
A 4
 
8.9%
B 4
 
8.9%
V 2
 
4.4%
G 2
 
4.4%
E 2
 
4.4%
F 2
 
4.4%
O 2
 
4.4%
M 1
 
2.2%
Other values (4) 4
 
8.9%
Common
ValueCountFrequency (%)
29
69.0%
( 3
 
7.1%
) 3
 
7.1%
2 3
 
7.1%
3 1
 
2.4%
1 1
 
2.4%
5 1
 
2.4%
4 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 676
88.6%
ASCII 87
 
11.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 31
 
4.6%
린 25
 
3.7%
어 23
 
3.4%
집 22
 
3.3%
원 22
 
3.3%
수 18
 
2.7%
인 18
 
2.7%
연 17
 
2.5%
천 14
 
2.1%
스 14
 
2.1%
Other values (183) 472
69.8%
ASCII
ValueCountFrequency (%)
29
33.3%
C 13
14.9%
P 9
 
10.3%
A 4
 
4.6%
B 4
 
4.6%
( 3
 
3.4%
) 3
 
3.4%
2 3
 
3.4%
V 2
 
2.3%
G 2
 
2.3%
Other values (12) 15
17.2%

시설군 형태
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Memory size956.0 B
실내주차장
28 
어린이집
22 
인터넷컴퓨터게임시설제공업
10 
노인요양시설
9 
의료기관
8 
Other values (8)
26 

Length

Max length13
Median length7
Mean length5.4951456
Min length3

Unique

Unique3 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
실내주차장 28
27.2%
어린이집 22
21.4%
인터넷컴퓨터게임시설제공업 10
 
9.7%
노인요양시설 9
 
8.7%
의료기관 8
 
7.8%
목욕장업 6
 
5.8%
지하역사 6
 
5.8%
대규모점포 5
 
4.9%
놀이제공영업소 4
 
3.9%
영화상영관 2
 
1.9%
Other values (3) 3
 
2.9%

Length

2024-05-03T19:32:33.456331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
실내주차장 28
27.2%
어린이집 22
21.4%
인터넷컴퓨터게임시설제공업 10
 
9.7%
노인요양시설 9
 
8.7%
의료기관 8
 
7.8%
목욕장업 6
 
5.8%
지하역사 6
 
5.8%
대규모점포 5
 
4.9%
놀이제공영업소 4
 
3.9%
영화상영관 2
 
1.9%
Other values (3) 3
 
2.9%

시설면적(제곱미터)
Real number (ℝ)

Distinct102
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7101.5579
Minimum315.13
Maximum169052.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-03T19:32:33.833322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum315.13
5-th percentile344.352
Q1773.26
median2356.07
Q35079.52
95-th percentile18306.159
Maximum169052.13
Range168737
Interquartile range (IQR)4306.26

Descriptive statistics

Standard deviation20331.966
Coefficient of variation (CV)2.863029
Kurtosis45.355778
Mean7101.5579
Median Absolute Deviation (MAD)1798.89
Skewness6.3866215
Sum731460.46
Variance4.1338884 × 108
MonotonicityNot monotonic
2024-05-03T19:32:34.170404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2209.29 2
 
1.9%
14249.0 1
 
1.0%
343.48 1
 
1.0%
2555.97 1
 
1.0%
5830.93 1
 
1.0%
5343.98 1
 
1.0%
326.16 1
 
1.0%
325.68 1
 
1.0%
315.13 1
 
1.0%
321.03 1
 
1.0%
Other values (92) 92
89.3%
ValueCountFrequency (%)
315.13 1
1.0%
321.03 1
1.0%
324.54 1
1.0%
325.68 1
1.0%
326.16 1
1.0%
343.48 1
1.0%
352.2 1
1.0%
382.8 1
1.0%
388.33 1
1.0%
432.1 1
1.0%
ValueCountFrequency (%)
169052.13 1
1.0%
108250.18 1
1.0%
48452.0 1
1.0%
30378.17 1
1.0%
30039.7 1
1.0%
18368.0 1
1.0%
17749.59 1
1.0%
17180.0 1
1.0%
14346.03 1
1.0%
14249.0 1
1.0%

위치 (주소)
Text

Distinct102
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
2024-05-03T19:32:34.711122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length39
Mean length23.15534
Min length8

Characters and Unicode

Total characters2385
Distinct characters139
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

Unique101 ?
Unique (%)98.1%

Sample

1st row연수구 청능대로 87
2nd row연수구 경원대로
3rd row연수구 청능대로 210
4th row연수구 청능대로 210
5th row연수구 청능대로23번길 11
ValueCountFrequency (%)
연수구 62
 
13.2%
인천광역시 54
 
11.5%
연수동 23
 
4.9%
동춘동 19
 
4.1%
청능대로 14
 
3.0%
옥련동 13
 
2.8%
청학동 12
 
2.6%
원인재로 9
 
1.9%
먼우금로 8
 
1.7%
경원대로 7
 
1.5%
Other values (188) 248
52.9%
2024-05-03T19:32:35.975003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
367
 
15.4%
동 126
 
5.3%
로 104
 
4.4%
1 97
 
4.1%
연 92
 
3.9%
수 92
 
3.9%
) 92
 
3.9%
( 92
 
3.9%
인 70
 
2.9%
구 63
 
2.6%
Other values (129) 1190
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1386
58.1%
Decimal Number 396
 
16.6%
Space Separator 367
 
15.4%
Close Punctuation 92
 
3.9%
Open Punctuation 92
 
3.9%
Other Punctuation 35
 
1.5%
Dash Punctuation 9
 
0.4%
Uppercase Letter 6
 
0.3%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 126
 
9.1%
로 104
 
7.5%
연 92
 
6.6%
수 92
 
6.6%
인 70
 
5.1%
구 63
 
4.5%
천 60
 
4.3%
시 58
 
4.2%
광 54
 
3.9%
역 54
 
3.9%
Other values (110) 613
44.2%
Decimal Number
ValueCountFrequency (%)
1 97
24.5%
2 56
14.1%
0 41
10.4%
4 39
9.8%
3 33
 
8.3%
8 31
 
7.8%
5 27
 
6.8%
6 27
 
6.8%
9 25
 
6.3%
7 20
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
B 4
66.7%
F 1
 
16.7%
L 1
 
16.7%
Space Separator
ValueCountFrequency (%)
367
100.0%
Close Punctuation
ValueCountFrequency (%)
) 92
100.0%
Open Punctuation
ValueCountFrequency (%)
( 92
100.0%
Other Punctuation
ValueCountFrequency (%)
, 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1386
58.1%
Common 993
41.6%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 126
 
9.1%
로 104
 
7.5%
연 92
 
6.6%
수 92
 
6.6%
인 70
 
5.1%
구 63
 
4.5%
천 60
 
4.3%
시 58
 
4.2%
광 54
 
3.9%
역 54
 
3.9%
Other values (110) 613
44.2%
Common
ValueCountFrequency (%)
367
37.0%
1 97
 
9.8%
) 92
 
9.3%
( 92
 
9.3%
2 56
 
5.6%
0 41
 
4.1%
4 39
 
3.9%
, 35
 
3.5%
3 33
 
3.3%
8 31
 
3.1%
Other values (6) 110
 
11.1%
Latin
ValueCountFrequency (%)
B 4
66.7%
F 1
 
16.7%
L 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1386
58.1%
ASCII 999
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
367
36.7%
1 97
 
9.7%
) 92
 
9.2%
( 92
 
9.2%
2 56
 
5.6%
0 41
 
4.1%
4 39
 
3.9%
, 35
 
3.5%
3 33
 
3.3%
8 31
 
3.1%
Other values (9) 116
 
11.6%
Hangul
ValueCountFrequency (%)
동 126
 
9.1%
로 104
 
7.5%
연 92
 
6.6%
수 92
 
6.6%
인 70
 
5.1%
구 63
 
4.5%
천 60
 
4.3%
시 58
 
4.2%
광 54
 
3.9%
역 54
 
3.9%
Other values (110) 613
44.2%

위도
Real number (ℝ)

Distinct90
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.417265
Minimum37.399651
Maximum37.435912
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-03T19:32:36.416645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.399651
5-th percentile37.405953
Q137.413628
median37.416889
Q337.422556
95-th percentile37.42862
Maximum37.435912
Range0.036261
Interquartile range (IQR)0.0089275

Descriptive statistics

Standard deviation0.0075187235
Coefficient of variation (CV)0.00020094263
Kurtosis-0.27099465
Mean37.417265
Median Absolute Deviation (MAD)0.004557
Skewness0.15097851
Sum3853.9783
Variance5.6531204 × 10-5
MonotonicityNot monotonic
2024-05-03T19:32:36.851660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.417019 3
 
2.9%
37.418596 3
 
2.9%
37.406106 3
 
2.9%
37.415057 2
 
1.9%
37.427835 2
 
1.9%
37.417588 2
 
1.9%
37.407683 2
 
1.9%
37.422474 2
 
1.9%
37.413628 2
 
1.9%
37.419741 2
 
1.9%
Other values (80) 80
77.7%
ValueCountFrequency (%)
37.399651 1
 
1.0%
37.402665 1
 
1.0%
37.404158 1
 
1.0%
37.404525 1
 
1.0%
37.405395 1
 
1.0%
37.405936 1
 
1.0%
37.406106 3
2.9%
37.406771 1
 
1.0%
37.407132 1
 
1.0%
37.407216 1
 
1.0%
ValueCountFrequency (%)
37.435912 1
1.0%
37.434866 1
1.0%
37.434309 1
1.0%
37.430693 1
1.0%
37.429424 1
1.0%
37.428657 1
1.0%
37.428286 1
1.0%
37.427835 2
1.9%
37.427564 1
1.0%
37.427495 1
1.0%

경도
Real number (ℝ)

Distinct90
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.67398
Minimum126.64267
Maximum126.70273
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-03T19:32:37.340089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.64267
5-th percentile126.64702
Q1126.66798
median126.67597
Q3126.68289
95-th percentile126.69801
Maximum126.70273
Range0.060053
Interquartile range (IQR)0.014912

Descriptive statistics

Standard deviation0.013871657
Coefficient of variation (CV)0.00010950676
Kurtosis-0.14563831
Mean126.67398
Median Absolute Deviation (MAD)0.007216
Skewness-0.31379661
Sum13047.419
Variance0.00019242287
MonotonicityNot monotonic
2024-05-03T19:32:37.885504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.678112 3
 
2.9%
126.688837 3
 
2.9%
126.683724 3
 
2.9%
126.675168 2
 
1.9%
126.655015 2
 
1.9%
126.677207 2
 
1.9%
126.671176 2
 
1.9%
126.669874 2
 
1.9%
126.675972 2
 
1.9%
126.669166 2
 
1.9%
Other values (80) 80
77.7%
ValueCountFrequency (%)
126.642673 1
1.0%
126.644426 1
1.0%
126.645617 1
1.0%
126.645626 1
1.0%
126.645705 1
1.0%
126.646838 1
1.0%
126.6487 1
1.0%
126.651134 1
1.0%
126.651584 1
1.0%
126.653046 1
1.0%
ValueCountFrequency (%)
126.702726 1
1.0%
126.70152 1
1.0%
126.700594 1
1.0%
126.698893 1
1.0%
126.698819 1
1.0%
126.698136 1
1.0%
126.696847 1
1.0%
126.694942 1
1.0%
126.693546 1
1.0%
126.690184 1
1.0%

연락처
Text

MISSING 

Distinct91
Distinct (%)95.8%
Missing8
Missing (%)7.8%
Memory size956.0 B
2024-05-03T19:32:38.474124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.989474
Min length9

Characters and Unicode

Total characters1139
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)93.7%

Sample

1st row032-810-2525
2nd row032-820-1052
3rd row032-430-8123
4th row02-2689-0035
5th row032-819-2330
ValueCountFrequency (%)
032-570-7155 4
 
4.2%
032-899-4000 2
 
2.1%
032-818-9222 1
 
1.1%
032-818-3134 1
 
1.1%
032-432-4089 1
 
1.1%
032-899-7523 1
 
1.1%
032-817-5339 1
 
1.1%
032-822-5804 1
 
1.1%
02-371-6661 1
 
1.1%
02-371-6660 1
 
1.1%
Other values (81) 81
85.3%
2024-05-03T19:32:39.679276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 189
16.6%
2 174
15.3%
0 171
15.0%
3 161
14.1%
1 110
9.7%
8 107
9.4%
5 58
 
5.1%
7 46
 
4.0%
9 44
 
3.9%
4 44
 
3.9%
Other values (2) 35
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 947
83.1%
Dash Punctuation 189
 
16.6%
Space Separator 3
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 174
18.4%
0 171
18.1%
3 161
17.0%
1 110
11.6%
8 107
11.3%
5 58
 
6.1%
7 46
 
4.9%
9 44
 
4.6%
4 44
 
4.6%
6 32
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 189
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1139
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 189
16.6%
2 174
15.3%
0 171
15.0%
3 161
14.1%
1 110
9.7%
8 107
9.4%
5 58
 
5.1%
7 46
 
4.0%
9 44
 
3.9%
4 44
 
3.9%
Other values (2) 35
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1139
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 189
16.6%
2 174
15.3%
0 171
15.0%
3 161
14.1%
1 110
9.7%
8 107
9.4%
5 58
 
5.1%
7 46
 
4.0%
9 44
 
3.9%
4 44
 
3.9%
Other values (2) 35
 
3.1%

Interactions

2024-05-03T19:32:29.591848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:32:26.351820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:32:27.357589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:32:28.448858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:32:29.750552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:32:26.588262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:32:27.663996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:32:28.711147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:32:29.947599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:32:26.842724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:32:27.926943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:32:28.978396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:32:30.130093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:32:27.110470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:32:28.194563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:32:29.241158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-03T19:32:39.953755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설명시설군 형태시설면적(제곱미터)위도경도연락처
연번1.0000.7340.9240.0000.4970.5240.982
시설명0.7341.0000.9200.8540.9890.9960.992
시설군 형태0.9240.9201.0000.6420.2890.3331.000
시설면적(제곱미터)0.0000.8540.6421.0000.0000.0001.000
위도0.4970.9890.2890.0001.0000.8700.958
경도0.5240.9960.3330.0000.8701.0000.975
연락처0.9820.9921.0001.0000.9580.9751.000
2024-05-03T19:32:40.188948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설면적(제곱미터)위도경도시설군 형태
연번1.0000.149-0.2240.0870.717
시설면적(제곱미터)0.1491.000-0.1150.2300.399
위도-0.224-0.1151.000-0.0230.116
경도0.0870.230-0.0231.0000.137
시설군 형태0.7170.3990.1160.1371.000

Missing values

2024-05-03T19:32:30.502962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-03T19:32:30.785943image/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

연번시설명시설군 형태시설면적(제곱미터)위치 (주소)위도경도연락처
01롯데마트 연수점대규모점포14249.0연수구 청능대로 8737.415057126.675168032-810-2525
12이마트 연수점대규모점포48452.0연수구 경원대로37.418265126.690184032-820-1052
23홈플러스 인천연수점대규모점포18368.0연수구 청능대로 21037.413628126.675972032-430-8123
34스퀘어원대규모점포108250.18연수구 청능대로 21037.413628126.67597202-2689-0035
45엘에프네트웍스연수점대규모점포17180.0연수구 청능대로23번길 1137.419741126.669166032-819-2330
56우리산후조리원산후조리원800.69인천광역시 연수구 앵고개로 248 (동춘동)37.408315126.671248032-816-5464
67스파렉스 대중사우나목욕장업1063.64인천광역시 연수구 먼우금로 189, 소망글로벌 801호 (청학동)37.422474126.669874032-816-7775
78진부령 한증막목욕장업1478.09인천광역시 연수구 청량로97번길 41 (동춘동)37.41547126.654604032-833-1444
89태평양사우나목욕장업1506.18인천광역시 연수구 비류대로 170, 지하 1층B01호, 지하2층 B02호 (옥련동)37.428286126.653432070-7462-8000
910선학스파24시불한증막사우나목욕장업2122.9인천광역시 연수구 선학로 101, 지하 1층 101호 (선학동, 뉴서울아파트상가동 )37.425768126.700594032-815-2288
연번시설명시설군 형태시설면적(제곱미터)위치 (주소)위도경도연락처
9394샘말공원지하공영주차장실내주차장2138.85샘말로 68-5 (연수동)37.414126.680396032-570-7155
9495브랫슬실내주차장4949.24벚꽃로 114 (연수동)37.417019126.678112032-811-3667
9596롯데슈퍼연수점실내주차장5314.11앵고개로 266 (동춘동)37.405395126.672745032-816-1100
9697롯데마트 연수점실내주차장8801.09청능대로 87 (청학동)37.415057126.675168032-810-2500
9798두손이리옴3실내주차장2798.9먼우금로188번길 12 (연수동)37.413384126.676506032-811-6123
9899두손이리옴1실내주차장2466.89청능대로 93 (청학동)37.414254126.675685032-818-3134
99100늘봄공원주차장실내주차장2209.29샘말로 37-7 (연수동)37.41305126.678237032-570-7155
100101광장프라자실내주차장6592.34벚꽃로 106 (청학동)37.417588126.677207032-818-9222
101102가천대학교실내주차장2504.24함박뫼로 191 (연수동)37.422401126.687998032-820-4047
102103동춘동 공영주차장실내주차장2209.29앵고개로246번길 7-14 (동춘동)37.407683126.671176032-570-7155