Overview

Dataset statistics

Number of variables7
Number of observations115
Missing cells4
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.8 KiB
Average record size in memory60.1 B

Variable types

Numeric3
Text4

Dataset

Description인천광역시 미추홀구의 소독의무대상시설(숙박업소) 데이터로 연번, 상호명, 지번주소,도로명주소,전화번호, 죄표값 등을 제공합니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15081970&srcSe=7661IVAWM27C61E190

Alerts

전화번호 has 4 (3.5%) missing valuesMissing
연번 has unique valuesUnique
지번주소 has unique valuesUnique
도로명주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2024-03-18 05:48:22.622049
Analysis finished2024-03-18 05:48:25.110527
Duration2.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct115
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58
Minimum1
Maximum115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-18T14:48:25.173177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.7
Q129.5
median58
Q386.5
95-th percentile109.3
Maximum115
Range114
Interquartile range (IQR)57

Descriptive statistics

Standard deviation33.341666
Coefficient of variation (CV)0.5748563
Kurtosis-1.2
Mean58
Median Absolute Deviation (MAD)29
Skewness0
Sum6670
Variance1111.6667
MonotonicityStrictly increasing
2024-03-18T14:48:25.300019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
74 1
 
0.9%
86 1
 
0.9%
85 1
 
0.9%
84 1
 
0.9%
83 1
 
0.9%
82 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
Other values (105) 105
91.3%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
115 1
0.9%
114 1
0.9%
113 1
0.9%
112 1
0.9%
111 1
0.9%
110 1
0.9%
109 1
0.9%
108 1
0.9%
107 1
0.9%
106 1
0.9%

상호명
Text

Distinct114
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-18T14:48:25.522423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length6.4695652
Min length1

Characters and Unicode

Total characters744
Distinct characters194
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

Unique113 ?
Unique (%)98.3%

Sample

1st row미광장여관
2nd row옥천모텔
3rd row쓰리에스(3S) 호텔
4th row테마모텔
5th row블루마린
ValueCountFrequency (%)
호텔 17
 
10.8%
호텔나무 2
 
1.3%
hotel 2
 
1.3%
인천 2
 
1.3%
썬플라워 2
 
1.3%
디데이호텔(d-day 1
 
0.6%
파티오 1
 
0.6%
홀인원 1
 
0.6%
나이스호텔 1
 
0.6%
호텔바네(vane 1
 
0.6%
Other values (128) 128
81.0%
2024-03-18T14:48:25.889753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
텔 78
 
10.5%
호 46
 
6.2%
43
 
5.8%
모 32
 
4.3%
스 23
 
3.1%
( 21
 
2.8%
) 21
 
2.8%
이 19
 
2.6%
에 13
 
1.7%
리 11
 
1.5%
Other values (184) 437
58.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 529
71.1%
Uppercase Letter 63
 
8.5%
Lowercase Letter 44
 
5.9%
Space Separator 43
 
5.8%
Open Punctuation 21
 
2.8%
Close Punctuation 21
 
2.8%
Decimal Number 14
 
1.9%
Other Punctuation 7
 
0.9%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
텔 78
 
14.7%
호 46
 
8.7%
모 32
 
6.0%
스 23
 
4.3%
이 19
 
3.6%
에 13
 
2.5%
리 11
 
2.1%
여 10
 
1.9%
라 9
 
1.7%
관 9
 
1.7%
Other values (137) 279
52.7%
Uppercase Letter
ValueCountFrequency (%)
H 10
15.9%
A 6
9.5%
O 6
9.5%
S 5
 
7.9%
E 5
 
7.9%
D 4
 
6.3%
L 4
 
6.3%
F 3
 
4.8%
T 3
 
4.8%
N 3
 
4.8%
Other values (10) 14
22.2%
Lowercase Letter
ValueCountFrequency (%)
e 8
18.2%
t 8
18.2%
l 7
15.9%
o 5
11.4%
a 5
11.4%
r 3
 
6.8%
u 2
 
4.5%
c 1
 
2.3%
w 1
 
2.3%
d 1
 
2.3%
Other values (3) 3
 
6.8%
Decimal Number
ValueCountFrequency (%)
5 2
14.3%
2 2
14.3%
6 2
14.3%
4 2
14.3%
1 2
14.3%
3 2
14.3%
9 1
7.1%
7 1
7.1%
Other Punctuation
ValueCountFrequency (%)
. 6
85.7%
& 1
 
14.3%
Space Separator
ValueCountFrequency (%)
43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 529
71.1%
Common 108
 
14.5%
Latin 107
 
14.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
텔 78
 
14.7%
호 46
 
8.7%
모 32
 
6.0%
스 23
 
4.3%
이 19
 
3.6%
에 13
 
2.5%
리 11
 
2.1%
여 10
 
1.9%
라 9
 
1.7%
관 9
 
1.7%
Other values (137) 279
52.7%
Latin
ValueCountFrequency (%)
H 10
 
9.3%
e 8
 
7.5%
t 8
 
7.5%
l 7
 
6.5%
A 6
 
5.6%
O 6
 
5.6%
o 5
 
4.7%
a 5
 
4.7%
S 5
 
4.7%
E 5
 
4.7%
Other values (23) 42
39.3%
Common
ValueCountFrequency (%)
43
39.8%
( 21
19.4%
) 21
19.4%
. 6
 
5.6%
5 2
 
1.9%
2 2
 
1.9%
6 2
 
1.9%
4 2
 
1.9%
- 2
 
1.9%
1 2
 
1.9%
Other values (4) 5
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 529
71.1%
ASCII 215
28.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
텔 78
 
14.7%
호 46
 
8.7%
모 32
 
6.0%
스 23
 
4.3%
이 19
 
3.6%
에 13
 
2.5%
리 11
 
2.1%
여 10
 
1.9%
라 9
 
1.7%
관 9
 
1.7%
Other values (137) 279
52.7%
ASCII
ValueCountFrequency (%)
43
20.0%
( 21
 
9.8%
) 21
 
9.8%
H 10
 
4.7%
e 8
 
3.7%
t 8
 
3.7%
l 7
 
3.3%
A 6
 
2.8%
O 6
 
2.8%
. 6
 
2.8%
Other values (37) 79
36.7%

지번주소
Text

UNIQUE 

Distinct115
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-18T14:48:26.179505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length36
Mean length22.121739
Min length20

Characters and Unicode

Total characters2544
Distinct characters40
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

Unique115 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 주안동 961-1
2nd row인천광역시 미추홀구 주안동 18-12
3rd row인천광역시 미추홀구 용현동 628-6
4th row인천광역시 미추홀구 주안동 210-2
5th row인천광역시 미추홀구 숭의동 128-2
ValueCountFrequency (%)
인천광역시 115
24.1%
미추홀구 115
24.1%
주안동 79
16.6%
용현동 25
 
5.2%
숭의동 6
 
1.3%
도화동 5
 
1.0%
관련지번 2
 
0.4%
107-2 1
 
0.2%
93-3 1
 
0.2%
271-31 1
 
0.2%
Other values (127) 127
26.6%
2024-03-18T14:48:26.560704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
476
18.7%
- 118
 
4.6%
인 115
 
4.5%
추 115
 
4.5%
천 115
 
4.5%
구 115
 
4.5%
홀 115
 
4.5%
동 115
 
4.5%
미 115
 
4.5%
시 115
 
4.5%
Other values (30) 1030
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1397
54.9%
Decimal Number 541
 
21.3%
Space Separator 476
 
18.7%
Dash Punctuation 118
 
4.6%
Other Punctuation 6
 
0.2%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 115
8.2%
추 115
8.2%
천 115
8.2%
구 115
8.2%
홀 115
8.2%
동 115
8.2%
미 115
8.2%
시 115
8.2%
역 115
8.2%
광 115
8.2%
Other values (15) 247
17.7%
Decimal Number
ValueCountFrequency (%)
1 106
19.6%
2 84
15.5%
6 59
10.9%
0 51
9.4%
5 44
8.1%
9 42
 
7.8%
3 42
 
7.8%
4 41
 
7.6%
8 39
 
7.2%
7 33
 
6.1%
Space Separator
ValueCountFrequency (%)
476
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1397
54.9%
Common 1147
45.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 115
8.2%
추 115
8.2%
천 115
8.2%
구 115
8.2%
홀 115
8.2%
동 115
8.2%
미 115
8.2%
시 115
8.2%
역 115
8.2%
광 115
8.2%
Other values (15) 247
17.7%
Common
ValueCountFrequency (%)
476
41.5%
- 118
 
10.3%
1 106
 
9.2%
2 84
 
7.3%
6 59
 
5.1%
0 51
 
4.4%
5 44
 
3.8%
9 42
 
3.7%
3 42
 
3.7%
4 41
 
3.6%
Other values (5) 84
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1397
54.9%
ASCII 1147
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
476
41.5%
- 118
 
10.3%
1 106
 
9.2%
2 84
 
7.3%
6 59
 
5.1%
0 51
 
4.4%
5 44
 
3.8%
9 42
 
3.7%
3 42
 
3.7%
4 41
 
3.6%
Other values (5) 84
 
7.3%
Hangul
ValueCountFrequency (%)
인 115
8.2%
추 115
8.2%
천 115
8.2%
구 115
8.2%
홀 115
8.2%
동 115
8.2%
미 115
8.2%
시 115
8.2%
역 115
8.2%
광 115
8.2%
Other values (15) 247
17.7%

도로명주소
Text

UNIQUE 

Distinct115
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-18T14:48:26.835829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length31
Mean length27.617391
Min length23

Characters and Unicode

Total characters3176
Distinct characters64
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

Unique115 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 경원대로 911-3 (주안동)
2nd row인천광역시 미추홀구 석정로 419 (주안동)
3rd row인천광역시 미추홀구 아암대로 73 (용현동)
4th row인천광역시 미추홀구 미추홀대로719번길 7-11 (주안동)
5th row인천광역시 미추홀구 경인로41번길 41 (숭의동)
ValueCountFrequency (%)
인천광역시 115
20.0%
미추홀구 115
20.0%
주안동 78
 
13.6%
용현동 24
 
4.2%
미추홀대로722번길 8
 
1.4%
주안중로 8
 
1.4%
석바위로 7
 
1.2%
숭의동 6
 
1.0%
주안동로12번길 6
 
1.0%
10 6
 
1.0%
Other values (129) 202
35.1%
2024-03-18T14:48:27.220695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
460
 
14.5%
인 135
 
4.3%
미 132
 
4.2%
추 132
 
4.2%
홀 131
 
4.1%
동 122
 
3.8%
천 115
 
3.6%
) 115
 
3.6%
( 115
 
3.6%
로 115
 
3.6%
Other values (54) 1604
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1992
62.7%
Decimal Number 461
 
14.5%
Space Separator 460
 
14.5%
Close Punctuation 115
 
3.6%
Open Punctuation 115
 
3.6%
Dash Punctuation 29
 
0.9%
Other Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 135
 
6.8%
미 132
 
6.6%
추 132
 
6.6%
홀 131
 
6.6%
동 122
 
6.1%
천 115
 
5.8%
로 115
 
5.8%
시 115
 
5.8%
구 115
 
5.8%
광 115
 
5.8%
Other values (39) 765
38.4%
Decimal Number
ValueCountFrequency (%)
1 106
23.0%
3 66
14.3%
2 62
13.4%
4 57
12.4%
5 44
9.5%
7 38
 
8.2%
8 26
 
5.6%
9 22
 
4.8%
6 21
 
4.6%
0 19
 
4.1%
Space Separator
ValueCountFrequency (%)
460
100.0%
Close Punctuation
ValueCountFrequency (%)
) 115
100.0%
Open Punctuation
ValueCountFrequency (%)
( 115
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1992
62.7%
Common 1184
37.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 135
 
6.8%
미 132
 
6.6%
추 132
 
6.6%
홀 131
 
6.6%
동 122
 
6.1%
천 115
 
5.8%
로 115
 
5.8%
시 115
 
5.8%
구 115
 
5.8%
광 115
 
5.8%
Other values (39) 765
38.4%
Common
ValueCountFrequency (%)
460
38.9%
) 115
 
9.7%
( 115
 
9.7%
1 106
 
9.0%
3 66
 
5.6%
2 62
 
5.2%
4 57
 
4.8%
5 44
 
3.7%
7 38
 
3.2%
- 29
 
2.4%
Other values (5) 92
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1992
62.7%
ASCII 1184
37.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
460
38.9%
) 115
 
9.7%
( 115
 
9.7%
1 106
 
9.0%
3 66
 
5.6%
2 62
 
5.2%
4 57
 
4.8%
5 44
 
3.7%
7 38
 
3.2%
- 29
 
2.4%
Other values (5) 92
 
7.8%
Hangul
ValueCountFrequency (%)
인 135
 
6.8%
미 132
 
6.6%
추 132
 
6.6%
홀 131
 
6.6%
동 122
 
6.1%
천 115
 
5.8%
로 115
 
5.8%
시 115
 
5.8%
구 115
 
5.8%
광 115
 
5.8%
Other values (39) 765
38.4%

전화번호
Text

MISSING 

Distinct111
Distinct (%)100.0%
Missing4
Missing (%)3.5%
Memory size1.0 KiB
2024-03-18T14:48:27.435465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.009009
Min length12

Characters and Unicode

Total characters1333
Distinct characters11
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

Unique111 ?
Unique (%)100.0%

Sample

1st row032-427-7908
2nd row032-864-6933
3rd row032-888-3154
4th row032-865-6502
5th row032-882-3637
ValueCountFrequency (%)
032-427-7908 1
 
0.9%
032-435-2343 1
 
0.9%
032-873-5123 1
 
0.9%
032-424-3601 1
 
0.9%
032-441-4654 1
 
0.9%
032-421-1266 1
 
0.9%
032-429-3821 1
 
0.9%
032-428-7822 1
 
0.9%
032-423-6374 1
 
0.9%
032-429-3350 1
 
0.9%
Other values (101) 101
91.0%
2024-03-18T14:48:27.766361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 222
16.7%
3 202
15.2%
2 195
14.6%
0 169
12.7%
8 153
11.5%
4 96
7.2%
6 83
 
6.2%
1 64
 
4.8%
7 58
 
4.4%
5 58
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1111
83.3%
Dash Punctuation 222
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 202
18.2%
2 195
17.6%
0 169
15.2%
8 153
13.8%
4 96
8.6%
6 83
7.5%
1 64
 
5.8%
7 58
 
5.2%
5 58
 
5.2%
9 33
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 222
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1333
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 222
16.7%
3 202
15.2%
2 195
14.6%
0 169
12.7%
8 153
11.5%
4 96
7.2%
6 83
 
6.2%
1 64
 
4.8%
7 58
 
4.4%
5 58
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1333
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 222
16.7%
3 202
15.2%
2 195
14.6%
0 169
12.7%
8 153
11.5%
4 96
7.2%
6 83
 
6.2%
1 64
 
4.8%
7 58
 
4.4%
5 58
 
4.4%

위도
Real number (ℝ)

UNIQUE 

Distinct115
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.459891
Minimum37.451964
Maximum37.466855
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-18T14:48:27.890730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.451964
5-th percentile37.454779
Q137.458599
median37.459733
Q337.461945
95-th percentile37.464634
Maximum37.466855
Range0.01489068
Interquartile range (IQR)0.003345985

Descriptive statistics

Standard deviation0.0030137988
Coefficient of variation (CV)8.0454021 × 10-5
Kurtosis-0.014160938
Mean37.459891
Median Absolute Deviation (MAD)0.00188607
Skewness-0.27892398
Sum4307.8874
Variance9.0829834 × 10-6
MonotonicityNot monotonic
2024-03-18T14:48:28.031639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.46400407 1
 
0.9%
37.45633027 1
 
0.9%
37.4594783 1
 
0.9%
37.45948215 1
 
0.9%
37.45923053 1
 
0.9%
37.45920583 1
 
0.9%
37.46030094 1
 
0.9%
37.45940491 1
 
0.9%
37.46265048 1
 
0.9%
37.45906857 1
 
0.9%
Other values (105) 105
91.3%
ValueCountFrequency (%)
37.4519643 1
0.9%
37.45205793 1
0.9%
37.45333751 1
0.9%
37.4542916 1
0.9%
37.45457372 1
0.9%
37.4547548101548 1
0.9%
37.4547898 1
0.9%
37.45489926 1
0.9%
37.45490571 1
0.9%
37.45501229 1
0.9%
ValueCountFrequency (%)
37.46685498 1
0.9%
37.46592298 1
0.9%
37.46575428 1
0.9%
37.46531101 1
0.9%
37.46519772 1
0.9%
37.46492785 1
0.9%
37.46450754 1
0.9%
37.46400407 1
0.9%
37.46381595 1
0.9%
37.46375212 1
0.9%

경도
Real number (ℝ)

UNIQUE 

Distinct115
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.67093
Minimum126.63268
Maximum126.6896
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-18T14:48:28.175881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63268
5-th percentile126.63481
Q1126.65106
median126.68155
Q3126.68474
95-th percentile126.6883
Maximum126.6896
Range0.0569195
Interquartile range (IQR)0.033684

Descriptive statistics

Standard deviation0.019739612
Coefficient of variation (CV)0.0001558338
Kurtosis-0.74081367
Mean126.67093
Median Absolute Deviation (MAD)0.0048188187
Skewness-0.9956394
Sum14567.157
Variance0.00038965227
MonotonicityNot monotonic
2024-03-18T14:48:28.314436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6895982 1
 
0.9%
126.6363018 1
 
0.9%
126.688262 1
 
0.9%
126.6880799 1
 
0.9%
126.6879902 1
 
0.9%
126.6877125 1
 
0.9%
126.6829499 1
 
0.9%
126.6884117 1
 
0.9%
126.6830103 1
 
0.9%
126.6856591 1
 
0.9%
Other values (105) 105
91.3%
ValueCountFrequency (%)
126.6326787 1
0.9%
126.6328774 1
0.9%
126.633656 1
0.9%
126.6344994 1
0.9%
126.6345587 1
0.9%
126.6347473 1
0.9%
126.6348303 1
0.9%
126.6349037 1
0.9%
126.6350329 1
0.9%
126.6352154 1
0.9%
ValueCountFrequency (%)
126.6895982 1
0.9%
126.6893588 1
0.9%
126.6888287 1
0.9%
126.6888127 1
0.9%
126.6884117 1
0.9%
126.6883799 1
0.9%
126.688262 1
0.9%
126.688093 1
0.9%
126.6880799 1
0.9%
126.6880685 1
0.9%

Interactions

2024-03-18T14:48:24.668560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:48:24.106761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:48:24.419618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:48:24.746954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:48:24.252051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:48:24.492818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:48:24.844976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:48:24.339073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:48:24.585187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T14:48:28.432268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.4540.206
위도0.4541.0000.797
경도0.2060.7971.000
2024-03-18T14:48:28.529349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.0790.296
위도0.0791.0000.219
경도0.2960.2191.000

Missing values

2024-03-18T14:48:24.976321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T14:48:25.070786image/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

연번상호명지번주소도로명주소전화번호위도경도
01미광장여관인천광역시 미추홀구 주안동 961-1인천광역시 미추홀구 경원대로 911-3 (주안동)032-427-790837.464004126.689598
12옥천모텔인천광역시 미추홀구 주안동 18-12인천광역시 미추홀구 석정로 419 (주안동)032-864-693337.466855126.682254
23쓰리에스(3S) 호텔인천광역시 미추홀구 용현동 628-6인천광역시 미추홀구 아암대로 73 (용현동)032-888-315437.454906126.634499
34테마모텔인천광역시 미추홀구 주안동 210-2인천광역시 미추홀구 미추홀대로719번길 7-11 (주안동)032-865-650237.461534126.679756
45블루마린인천광역시 미추홀구 숭의동 128-2인천광역시 미추홀구 경인로41번길 41 (숭의동)032-882-363737.465923126.64656
56베드스테이션인천광역시 미추홀구 주안동 137-2 3호인천광역시 미추홀구 미추홀대로734번길 25-11 (주안동)032-428-358837.463256126.681726
67붐모텔인천광역시 미추홀구 주안동 268-6인천광역시 미추홀구 주안서로 55 (주안동)032-874-662237.463688126.677722
78대성모텔인천광역시 미추홀구 주안동 993-8인천광역시 미추홀구 석바위로 137 (주안동)032-428-231037.460001126.688068
89프라하모텔인천광역시 미추홀구 주안동 1006-2인천광역시 미추홀구 경인로435번길 10 (주안동)032-427-888837.458439126.688829
910아젤리아모텔인천광역시 미추홀구 용현동 624-6인천광역시 미추홀구 아암대로53번길 11 (용현동)032-885-886337.456418126.636131
연번상호명지번주소도로명주소전화번호위도경도
105106피카소모텔인천광역시 미추홀구 숭의동 160-5인천광역시 미추홀구 미추로 45-13 (숭의동)032-882-556037.463816126.645801
106107호텔여기어때 주안점인천광역시 미추홀구 주안동 154-1인천광역시 미추홀구 미추홀대로722번길 40 (주안동)032-426-033337.461684126.682571
107108데이 앤 나잇 호텔인천광역시 미추홀구 주안동 172-1인천광역시 미추홀구 석바위로 72 (주안동)<NA>37.460891126.681054
108109마네모네인천광역시 미추홀구 주안동 81-18인천광역시 미추홀구 주안중로16번길 8 (주안동)032-442-112137.459758126.683105
109110오루체인천광역시 미추홀구 주안동 69-26인천광역시 미추홀구 경원대로851번길 40 (주안동)<NA>37.459118126.687113
110111코리아빌인천광역시 미추홀구 주안동 70-30인천광역시 미추홀구 경원대로851번길 51 (주안동)032-431-553437.458773126.686372
111112렉스인천광역시 미추홀구 주안동 197-13인천광역시 미추홀구 경인로 333-26 (주안동)032-864-077737.459398126.677131
112113우리레지던스인천광역시 미추홀구 숭의동 406-5 2,3인천광역시 미추홀구 인중로26번길 6-16 (숭의동)032-889-196237.463404126.640591
113114청춘호텔인천광역시 미추홀구 주안동 66-3인천광역시 미추홀구 주안동로12번길 31 (주안동)032-321-513337.459419126.68728
114115아이클래스 레지던스인천광역시 미추홀구 용현동 573-7인천광역시 미추홀구 아암대로 15 (용현동)070-8852-508737.459356126.637908