Overview

Dataset statistics

Number of variables7
Number of observations101
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.0 KiB
Average record size in memory61.3 B

Variable types

Numeric4
Text3

Dataset

Description인천광역시 미추홀구의 소독의무대상시설 현황(식품접객업소) 데이터로 연번, 상호명, 도로명주소, 지번주소, 규모, 좌표값 등을 제공합니다
Author인천광역시 미추홀구
URLhttps://www.data.go.kr/data/15081977/fileData.do

Alerts

연번 has unique valuesUnique
상호명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:25:38.974466
Analysis finished2023-12-11 23:25:41.134520
Duration2.16 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51
Minimum1
Maximum101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T08:25:41.504881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q126
median51
Q376
95-th percentile96
Maximum101
Range100
Interquartile range (IQR)50

Descriptive statistics

Standard deviation29.300171
Coefficient of variation (CV)0.57451315
Kurtosis-1.2
Mean51
Median Absolute Deviation (MAD)25
Skewness0
Sum5151
Variance858.5
MonotonicityStrictly increasing
2023-12-12T08:25:41.693663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
65 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%
69 1
 
1.0%
68 1
 
1.0%
Other values (91) 91
90.1%
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 (%)
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%
93 1
1.0%
92 1
1.0%

상호명
Text

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2023-12-12T08:25:41.969489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length13
Mean length8.2970297
Min length2

Characters and Unicode

Total characters838
Distinct characters249
Distinct categories8 ?
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 (%)100.0%

Sample

1st row성진물텀벙이
2nd row조선화로집 주안점
3rd row주식회사 숭의가든
4th row한우마을
5th row명가원설농탕
ValueCountFrequency (%)
스타벅스 8
 
5.5%
주안점 4
 
2.7%
주)그랜드하우스 3
 
2.1%
투썸플레이스 3
 
2.1%
준코뮤직타운 2
 
1.4%
도화점 2
 
1.4%
명륜진사갈비 2
 
1.4%
조선화로집 2
 
1.4%
주안역점 2
 
1.4%
백두산 2
 
1.4%
Other values (116) 116
79.5%
2023-12-12T08:25:42.415949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45
 
5.4%
스 42
 
5.0%
점 40
 
4.8%
주 27
 
3.2%
안 17
 
2.0%
인 15
 
1.8%
) 15
 
1.8%
( 15
 
1.8%
천 15
 
1.8%
타 14
 
1.7%
Other values (239) 593
70.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 716
85.4%
Space Separator 45
 
5.4%
Uppercase Letter 27
 
3.2%
Close Punctuation 15
 
1.8%
Open Punctuation 15
 
1.8%
Decimal Number 14
 
1.7%
Lowercase Letter 5
 
0.6%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 42
 
5.9%
점 40
 
5.6%
주 27
 
3.8%
안 17
 
2.4%
인 15
 
2.1%
천 15
 
2.1%
타 14
 
2.0%
리 13
 
1.8%
이 13
 
1.8%
우 10
 
1.4%
Other values (213) 510
71.2%
Uppercase Letter
ValueCountFrequency (%)
D 8
29.6%
T 7
25.9%
G 2
 
7.4%
S 2
 
7.4%
C 2
 
7.4%
V 1
 
3.7%
I 1
 
3.7%
A 1
 
3.7%
R 1
 
3.7%
F 1
 
3.7%
Decimal Number
ValueCountFrequency (%)
1 5
35.7%
3 3
21.4%
4 2
 
14.3%
9 2
 
14.3%
5 1
 
7.1%
2 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
s 1
20.0%
c 1
20.0%
p 1
20.0%
e 1
20.0%
a 1
20.0%
Space Separator
ValueCountFrequency (%)
45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Math Symbol
ValueCountFrequency (%)
> 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 716
85.4%
Common 90
 
10.7%
Latin 32
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 42
 
5.9%
점 40
 
5.6%
주 27
 
3.8%
안 17
 
2.4%
인 15
 
2.1%
천 15
 
2.1%
타 14
 
2.0%
리 13
 
1.8%
이 13
 
1.8%
우 10
 
1.4%
Other values (213) 510
71.2%
Latin
ValueCountFrequency (%)
D 8
25.0%
T 7
21.9%
G 2
 
6.2%
S 2
 
6.2%
C 2
 
6.2%
s 1
 
3.1%
c 1
 
3.1%
p 1
 
3.1%
e 1
 
3.1%
a 1
 
3.1%
Other values (6) 6
18.8%
Common
ValueCountFrequency (%)
45
50.0%
) 15
 
16.7%
( 15
 
16.7%
1 5
 
5.6%
3 3
 
3.3%
4 2
 
2.2%
9 2
 
2.2%
5 1
 
1.1%
2 1
 
1.1%
> 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 716
85.4%
ASCII 122
 
14.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
45
36.9%
) 15
 
12.3%
( 15
 
12.3%
D 8
 
6.6%
T 7
 
5.7%
1 5
 
4.1%
3 3
 
2.5%
G 2
 
1.6%
S 2
 
1.6%
4 2
 
1.6%
Other values (16) 18
 
14.8%
Hangul
ValueCountFrequency (%)
스 42
 
5.9%
점 40
 
5.6%
주 27
 
3.8%
안 17
 
2.4%
인 15
 
2.1%
천 15
 
2.1%
타 14
 
2.0%
리 13
 
1.8%
이 13
 
1.8%
우 10
 
1.4%
Other values (213) 510
71.2%

도로명주소
Text

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2023-12-12T08:25:42.798583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length45
Mean length32.920792
Min length22

Characters and Unicode

Total characters3325
Distinct characters156
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)98.0%

Sample

1st row인천광역시 미추홀구 독배로403번길 10 (용현동,2,3층)
2nd row인천광역시 미추홀구 미추홀대로734번길 6 (주안동)
3rd row인천광역시 미추홀구 경인로88번길 10 (숭의동)
4th row인천광역시 미추홀구 인주대로 448 (주안동)
5th row인천광역시 미추홀구 소성로 194 (학익동)
ValueCountFrequency (%)
인천광역시 101
 
16.1%
미추홀구 101
 
16.1%
주안동 49
 
7.8%
2층 16
 
2.5%
용현동 12
 
1.9%
매소홀로 11
 
1.8%
학익동 10
 
1.6%
주안로 9
 
1.4%
숭의동 9
 
1.4%
미추홀대로 8
 
1.3%
Other values (203) 302
48.1%
2023-12-12T08:25:43.360522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
528
 
15.9%
인 129
 
3.9%
홀 127
 
3.8%
1 125
 
3.8%
미 113
 
3.4%
추 113
 
3.4%
동 112
 
3.4%
, 108
 
3.2%
천 105
 
3.2%
광 102
 
3.1%
Other values (146) 1763
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1941
58.4%
Space Separator 528
 
15.9%
Decimal Number 517
 
15.5%
Other Punctuation 109
 
3.3%
Open Punctuation 101
 
3.0%
Close Punctuation 101
 
3.0%
Dash Punctuation 14
 
0.4%
Math Symbol 8
 
0.2%
Lowercase Letter 4
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 129
 
6.6%
홀 127
 
6.5%
미 113
 
5.8%
추 113
 
5.8%
동 112
 
5.8%
천 105
 
5.4%
광 102
 
5.3%
역 102
 
5.3%
시 102
 
5.3%
구 102
 
5.3%
Other values (123) 834
43.0%
Decimal Number
ValueCountFrequency (%)
1 125
24.2%
2 88
17.0%
4 57
11.0%
0 52
10.1%
3 51
9.9%
6 35
 
6.8%
8 32
 
6.2%
5 32
 
6.2%
7 25
 
4.8%
9 20
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
o 1
25.0%
w 1
25.0%
e 1
25.0%
r 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 108
99.1%
. 1
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
J 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
528
100.0%
Open Punctuation
ValueCountFrequency (%)
( 101
100.0%
Close Punctuation
ValueCountFrequency (%)
) 101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1941
58.4%
Common 1378
41.4%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 129
 
6.6%
홀 127
 
6.5%
미 113
 
5.8%
추 113
 
5.8%
동 112
 
5.8%
천 105
 
5.4%
광 102
 
5.3%
역 102
 
5.3%
시 102
 
5.3%
구 102
 
5.3%
Other values (123) 834
43.0%
Common
ValueCountFrequency (%)
528
38.3%
1 125
 
9.1%
, 108
 
7.8%
( 101
 
7.3%
) 101
 
7.3%
2 88
 
6.4%
4 57
 
4.1%
0 52
 
3.8%
3 51
 
3.7%
6 35
 
2.5%
Other values (7) 132
 
9.6%
Latin
ValueCountFrequency (%)
J 1
16.7%
T 1
16.7%
o 1
16.7%
w 1
16.7%
e 1
16.7%
r 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1941
58.4%
ASCII 1384
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
528
38.2%
1 125
 
9.0%
, 108
 
7.8%
( 101
 
7.3%
) 101
 
7.3%
2 88
 
6.4%
4 57
 
4.1%
0 52
 
3.8%
3 51
 
3.7%
6 35
 
2.5%
Other values (13) 138
 
10.0%
Hangul
ValueCountFrequency (%)
인 129
 
6.6%
홀 127
 
6.5%
미 113
 
5.8%
추 113
 
5.8%
동 112
 
5.8%
천 105
 
5.4%
광 102
 
5.3%
역 102
 
5.3%
시 102
 
5.3%
구 102
 
5.3%
Other values (123) 834
43.0%

지번주소
Text

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2023-12-12T08:25:43.641578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length41
Mean length24.891089
Min length17

Characters and Unicode

Total characters2514
Distinct characters112
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)93.1%

Sample

1st row인천광역시 미추홀구 용현동 509-17, 2층3층
2nd row인천광역시 미추홀구 주안동 143-3
3rd row인천광역시 미추홀구 숭의동 72-2
4th row인천광역시 미추홀구 주안동 1517-2
5th row인천광역시 미추홀구 학익동 657-5
ValueCountFrequency (%)
인천광역시 101
20.8%
미추홀구 101
20.8%
주안동 52
 
10.7%
용현동 15
 
3.1%
학익동 10
 
2.1%
숭의동 9
 
1.9%
도화동 8
 
1.6%
문학동 7
 
1.4%
4
 
0.8%
482 4
 
0.8%
Other values (147) 174
35.9%
2023-12-12T08:25:44.113570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
484
19.3%
1 122
 
4.9%
인 107
 
4.3%
천 104
 
4.1%
동 104
 
4.1%
홀 103
 
4.1%
광 102
 
4.1%
역 102
 
4.1%
시 102
 
4.1%
미 101
 
4.0%
Other values (102) 1083
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1423
56.6%
Decimal Number 491
 
19.5%
Space Separator 484
 
19.3%
Dash Punctuation 85
 
3.4%
Other Punctuation 22
 
0.9%
Lowercase Letter 4
 
0.2%
Math Symbol 3
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 107
 
7.5%
천 104
 
7.3%
동 104
 
7.3%
홀 103
 
7.2%
광 102
 
7.2%
역 102
 
7.2%
시 102
 
7.2%
미 101
 
7.1%
추 101
 
7.1%
구 101
 
7.1%
Other values (82) 396
27.8%
Decimal Number
ValueCountFrequency (%)
1 122
24.8%
2 70
14.3%
4 55
11.2%
3 50
10.2%
0 40
 
8.1%
6 40
 
8.1%
5 34
 
6.9%
9 31
 
6.3%
8 31
 
6.3%
7 18
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
o 1
25.0%
w 1
25.0%
e 1
25.0%
r 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
50.0%
J 1
50.0%
Space Separator
ValueCountFrequency (%)
484
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 85
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1423
56.6%
Common 1085
43.2%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 107
 
7.5%
천 104
 
7.3%
동 104
 
7.3%
홀 103
 
7.2%
광 102
 
7.2%
역 102
 
7.2%
시 102
 
7.2%
미 101
 
7.1%
추 101
 
7.1%
구 101
 
7.1%
Other values (82) 396
27.8%
Common
ValueCountFrequency (%)
484
44.6%
1 122
 
11.2%
- 85
 
7.8%
2 70
 
6.5%
4 55
 
5.1%
3 50
 
4.6%
0 40
 
3.7%
6 40
 
3.7%
5 34
 
3.1%
9 31
 
2.9%
Other values (4) 74
 
6.8%
Latin
ValueCountFrequency (%)
T 1
16.7%
J 1
16.7%
o 1
16.7%
w 1
16.7%
e 1
16.7%
r 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1423
56.6%
ASCII 1091
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
484
44.4%
1 122
 
11.2%
- 85
 
7.8%
2 70
 
6.4%
4 55
 
5.0%
3 50
 
4.6%
0 40
 
3.7%
6 40
 
3.7%
5 34
 
3.1%
9 31
 
2.8%
Other values (10) 80
 
7.3%
Hangul
ValueCountFrequency (%)
인 107
 
7.5%
천 104
 
7.3%
동 104
 
7.3%
홀 103
 
7.2%
광 102
 
7.2%
역 102
 
7.2%
시 102
 
7.2%
미 101
 
7.1%
추 101
 
7.1%
구 101
 
7.1%
Other values (82) 396
27.8%

규모(제곱미터)
Real number (ℝ)

Distinct100
Distinct (%)100.0%
Missing1
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean571.5734
Minimum300.25
Maximum5857.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T08:25:44.285732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum300.25
5-th percentile308.2135
Q1332.3925
median399.705
Q3520.475
95-th percentile1207.025
Maximum5857.04
Range5556.79
Interquartile range (IQR)188.0825

Descriptive statistics

Standard deviation643.55832
Coefficient of variation (CV)1.1259417
Kurtosis47.542032
Mean571.5734
Median Absolute Deviation (MAD)79.175
Skewness6.2898202
Sum57157.34
Variance414167.31
MonotonicityNot monotonic
2023-12-12T08:25:44.444653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
383.93 1
 
1.0%
1056.66 1
 
1.0%
1189.5 1
 
1.0%
460.25 1
 
1.0%
311.16 1
 
1.0%
1825.46 1
 
1.0%
449.1 1
 
1.0%
424.25 1
 
1.0%
442.29 1
 
1.0%
519.12 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
300.25 1
1.0%
300.52 1
1.0%
301.2 1
1.0%
306.0 1
1.0%
307.52 1
1.0%
308.25 1
1.0%
308.7 1
1.0%
308.72 1
1.0%
311.16 1
1.0%
313.71 1
1.0%
ValueCountFrequency (%)
5857.04 1
1.0%
2760.0 1
1.0%
1825.46 1
1.0%
1786.0 1
1.0%
1540.0 1
1.0%
1189.5 1
1.0%
1056.66 1
1.0%
954.52 1
1.0%
917.98 1
1.0%
835.8 1
1.0%

위도
Real number (ℝ)

Distinct90
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.456918
Minimum37.436545
Maximum37.479891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T08:25:44.606605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.436545
5-th percentile37.438196
Q137.451447
median37.458572
Q337.463603
95-th percentile37.46955
Maximum37.479891
Range0.04334586
Interquartile range (IQR)0.01215618

Descriptive statistics

Standard deviation0.0097696015
Coefficient of variation (CV)0.00026082235
Kurtosis-0.2593935
Mean37.456918
Median Absolute Deviation (MAD)0.00600442
Skewness-0.56788231
Sum3783.1487
Variance9.5445113 × 10-5
MonotonicityNot monotonic
2023-12-12T08:25:44.749417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.43654516 4
 
4.0%
37.46457632 3
 
3.0%
37.46282551 2
 
2.0%
37.46954959 2
 
2.0%
37.46347728 2
 
2.0%
37.46558683 2
 
2.0%
37.46360285 2
 
2.0%
37.46282832 2
 
2.0%
37.45064128 1
 
1.0%
37.4694746 1
 
1.0%
Other values (80) 80
79.2%
ValueCountFrequency (%)
37.43654516 4
4.0%
37.43769348 1
 
1.0%
37.43819562 1
 
1.0%
37.43823813 1
 
1.0%
37.43956952 1
 
1.0%
37.43983645 1
 
1.0%
37.43988652 1
 
1.0%
37.44002019 1
 
1.0%
37.44005379 1
 
1.0%
37.44039544 1
 
1.0%
ValueCountFrequency (%)
37.47989102 1
1.0%
37.47518834 1
1.0%
37.47196982 1
1.0%
37.4704617 1
1.0%
37.46954959 2
2.0%
37.4694746 1
1.0%
37.46935983 1
1.0%
37.46652113 1
1.0%
37.4663879 1
1.0%
37.46626944 1
1.0%

경도
Real number (ℝ)

Distinct90
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.67104
Minimum126.63249
Maximum126.69435
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T08:25:44.876870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63249
5-th percentile126.63567
Q1126.65964
median126.67964
Q3126.68225
95-th percentile126.69035
Maximum126.69435
Range0.0618632
Interquartile range (IQR)0.0226106

Descriptive statistics

Standard deviation0.016641014
Coefficient of variation (CV)0.00013137189
Kurtosis-0.42420923
Mean126.67104
Median Absolute Deviation (MAD)0.0087536
Skewness-0.83834307
Sum12793.775
Variance0.00027692335
MonotonicityNot monotonic
2023-12-12T08:25:45.009052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6864606 4
 
4.0%
126.6816779 3
 
3.0%
126.6810217 2
 
2.0%
126.6645388 2
 
2.0%
126.6825195 2
 
2.0%
126.6435082 2
 
2.0%
126.6810363 2
 
2.0%
126.6807605 2
 
2.0%
126.6803654 1
 
1.0%
126.6632619 1
 
1.0%
Other values (80) 80
79.2%
ValueCountFrequency (%)
126.6324915 1
1.0%
126.6336152 1
1.0%
126.6344363 1
1.0%
126.6351615 1
1.0%
126.6354444 1
1.0%
126.6356716 1
1.0%
126.6358522 1
1.0%
126.6422756 1
1.0%
126.6435082 2
2.0%
126.6441745 1
1.0%
ValueCountFrequency (%)
126.6943547 1
1.0%
126.692997 1
1.0%
126.6925849 1
1.0%
126.6919676 1
1.0%
126.690858 1
1.0%
126.6903479 1
1.0%
126.6890758 1
1.0%
126.6889074 1
1.0%
126.6888629 1
1.0%
126.6876059 1
1.0%

Interactions

2023-12-12T08:25:40.461082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:25:39.381393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:25:39.784236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:25:40.139411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:25:40.558085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:25:39.462381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:25:39.867684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:25:40.213113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:25:40.687484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:25:39.560756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:25:39.953042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:25:40.306530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:25:40.781131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:25:39.669631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:25:40.028014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:25:40.381297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:25:45.097543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번도로명주소지번주소규모(제곱미터)위도경도
연번1.0001.0000.9520.0000.4230.000
도로명주소1.0001.0001.0000.0001.0001.000
지번주소0.9521.0001.0000.8751.0001.000
규모(제곱미터)0.0000.0000.8751.0000.0000.154
위도0.4231.0001.0000.0001.0000.686
경도0.0001.0001.0000.1540.6861.000
2023-12-12T08:25:45.187325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번규모(제곱미터)위도경도
연번1.000-0.1300.146-0.030
규모(제곱미터)-0.1301.0000.1470.051
위도0.1460.1471.0000.005
경도-0.0300.0510.0051.000

Missing values

2023-12-12T08:25:40.925496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:25:41.078156image/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

연번상호명도로명주소지번주소규모(제곱미터)위도경도
01성진물텀벙이인천광역시 미추홀구 독배로403번길 10 (용현동,2,3층)인천광역시 미추홀구 용현동 509-17, 2층3층383.9337.456014126.649177
12조선화로집 주안점인천광역시 미추홀구 미추홀대로734번길 6 (주안동)인천광역시 미추홀구 주안동 143-3327.837.462828126.680761
23주식회사 숭의가든인천광역시 미추홀구 경인로88번길 10 (숭의동)인천광역시 미추홀구 숭의동 72-2632.1437.465394126.652139
34한우마을인천광역시 미추홀구 인주대로 448 (주안동)인천광역시 미추홀구 주안동 1517-2314.2437.45056126.686343
45명가원설농탕인천광역시 미추홀구 소성로 194 (학익동)인천광역시 미추홀구 학익동 657-5367.9837.440546126.669511
56스타인천광역시 미추홀구 주안로104번길 24 (주안동,5층)인천광역시 미추홀구 주안동 143-1, 5층319.4237.462822126.680993
67기가스인천광역시 미추홀구 인하로67번길 24-31 (용현동,지하1)인천광역시 미추홀구 용현동 195-13, 지하1394.037.452398126.65726
78황제쭈꾸미인천광역시 미추홀구 제일로 48 (도화동)인천광역시 미추홀구 도화동 444-14432.037.458502126.675452
89중앙슈퍼인천광역시 미추홀구 주안로104번길 24, 4층 (주안동)인천광역시 미추홀구 주안동 143-1470.037.462826126.681022
910백두산 신기시장본점인천광역시 미추홀구 인하로262번길 9 (주안동)인천광역시 미추홀구 주안동 1330-10315.5137.447632126.677348
연번상호명도로명주소지번주소규모(제곱미터)위도경도
9192913카페인천광역시 미추홀구 소성로 20, 지하1~1층 (용현동)인천광역시 미추홀구 용현동 286-9306.037.447622126.651959
9293셀렉토커피 인천주안역점인천광역시 미추홀구 주안로 91, 폭스모텔 지하1,지상1,2층 (주안동)인천광역시 미추홀구 주안동 237-2 폭스모텔473.3737.4646126.679369
9394스타벅스 제물포역DT점인천광역시 미추홀구 경인로 103 (숭의동)인천광역시 미추홀구 숭의동 78-2335.4437.466388126.654084
9495투썸플레이스 제물포역점인천광역시 미추홀구 경인로 154, 삼육외국어학원 1층 (숭의동)인천광역시 미추홀구 숭의동 1-5 외 2필지300.2537.466032126.659638
9596스타벅스 인천주안DT점인천광역시 미추홀구 인주대로 443, 1층2층 (주안동)인천광역시 미추홀구 주안동 1506-25387.6437.451387126.685906
9697베러덴 카페인천광역시 미추홀구 미추홀대로 729, 201호,202호,203호,205호 (주안동)인천광역시 미추홀구 주안동 225-1 201호,202호,203호,205호607.9537.462469126.679846
9798스타벅스 인천용일사거리DT점인천광역시 미추홀구 한나루로 525, 1층2층 (주안동)인천광역시 미추홀구 주안동 684-3 외 3필지437.7137.453656126.66827
9899스타벅스 인천도화DT점인천광역시 미추홀구 장고개로 28, 1,2층 (도화동)인천광역시 미추홀구 도화동 116-2463.0237.470462126.667161
99100투썸플레이스 석바위시장역점인천광역시 미추홀구 경인로 452, 센트레뷰 101호, 201호 (주안동)인천광역시 미추홀구 주안동 1542-7 센트레뷰 101호, 201호307.5237.457551126.690348
100101안스베이커리인천광역시 미추홀구 숙골로87번길 5, 204동 1-13,1-14,1-15,1-16,2-11호 (도화동, 더샵 인천스카이타워 2단지)인천광역시 미추홀구 도화동 1002 더샵 인천스카이타워 2단지<NA>37.46955126.664539