Overview

Dataset statistics

Number of variables7
Number of observations101
Missing cells14
Missing cells (%)2.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.9 KiB
Average record size in memory60.3 B

Variable types

Numeric3
DateTime1
Text3

Dataset

Description인천광역시 미추홀구 관내에 소재한 인쇄소 현황에 대한 데이터로 연번, 상호명, 사업장 소재지(도로명주소), 좌표값 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15080696/fileData.do

Alerts

위도 has 7 (6.9%) missing valuesMissing
경도 has 7 (6.9%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:28:26.773340
Analysis finished2023-12-12 20:28:29.104844
Duration2.33 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
2023-12-13T05:28:29.191325image/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
2023-12-13T05:28:29.375396image/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%

신고일자
Date

Distinct96
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
Minimum1981-01-30 00:00:00
Maximum2023-04-12 00:00:00
2023-12-13T05:28:29.547959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:28:29.705476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

상호명
Text

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2023-12-13T05:28:30.012827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length5.6930693
Min length2

Characters and Unicode

Total characters575
Distinct characters168
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)96.0%

Sample

1st row동서문화인쇄공사
2nd row뽀빠이인쇄소
3rd row세종사
4th row중앙프린텍
5th row태흥사
ValueCountFrequency (%)
디자인 3
 
2.6%
장원문화인쇄 2
 
1.7%
도서출판 2
 
1.7%
이오기획 2
 
1.7%
m 1
 
0.9%
소나무 1
 
0.9%
디자인인쇄 1
 
0.9%
티피에스(tps 1
 
0.9%
캔버스미디어 1
 
0.9%
주식회사 1
 
0.9%
Other values (100) 100
87.0%
2023-12-13T05:28:30.566014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 55
 
9.6%
쇄 31
 
5.4%
사 27
 
4.7%
디 23
 
4.0%
자 19
 
3.3%
15
 
2.6%
화 15
 
2.6%
문 13
 
2.3%
기 13
 
2.3%
이 12
 
2.1%
Other values (158) 352
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 516
89.7%
Space Separator 15
 
2.6%
Uppercase Letter 15
 
2.6%
Open Punctuation 12
 
2.1%
Close Punctuation 12
 
2.1%
Decimal Number 3
 
0.5%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 55
 
10.7%
쇄 31
 
6.0%
사 27
 
5.2%
디 23
 
4.5%
자 19
 
3.7%
화 15
 
2.9%
문 13
 
2.5%
기 13
 
2.5%
이 12
 
2.3%
획 12
 
2.3%
Other values (140) 296
57.4%
Uppercase Letter
ValueCountFrequency (%)
P 3
20.0%
S 2
13.3%
M 2
13.3%
D 2
13.3%
N 1
 
6.7%
G 1
 
6.7%
I 1
 
6.7%
E 1
 
6.7%
T 1
 
6.7%
J 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
3 1
33.3%
0 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
/ 1
50.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 516
89.7%
Common 44
 
7.7%
Latin 15
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 55
 
10.7%
쇄 31
 
6.0%
사 27
 
5.2%
디 23
 
4.5%
자 19
 
3.7%
화 15
 
2.9%
문 13
 
2.5%
기 13
 
2.5%
이 12
 
2.3%
획 12
 
2.3%
Other values (140) 296
57.4%
Latin
ValueCountFrequency (%)
P 3
20.0%
S 2
13.3%
M 2
13.3%
D 2
13.3%
N 1
 
6.7%
G 1
 
6.7%
I 1
 
6.7%
E 1
 
6.7%
T 1
 
6.7%
J 1
 
6.7%
Common
ValueCountFrequency (%)
15
34.1%
( 12
27.3%
) 12
27.3%
. 1
 
2.3%
/ 1
 
2.3%
2 1
 
2.3%
3 1
 
2.3%
0 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 516
89.7%
ASCII 59
 
10.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 55
 
10.7%
쇄 31
 
6.0%
사 27
 
5.2%
디 23
 
4.5%
자 19
 
3.7%
화 15
 
2.9%
문 13
 
2.5%
기 13
 
2.5%
이 12
 
2.3%
획 12
 
2.3%
Other values (140) 296
57.4%
ASCII
ValueCountFrequency (%)
15
25.4%
( 12
20.3%
) 12
20.3%
P 3
 
5.1%
S 2
 
3.4%
M 2
 
3.4%
D 2
 
3.4%
. 1
 
1.7%
N 1
 
1.7%
G 1
 
1.7%
Other values (8) 8
13.6%

도로명주소
Text

Distinct96
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2023-12-13T05:28:31.015754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length37
Mean length28.693069
Min length18

Characters and Unicode

Total characters2898
Distinct characters133
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

Unique91 ?
Unique (%)90.1%

Sample

1st row인천광역시 미추홀구 숭의동 161
2nd row인천광역시 미추홀구 석정로 208, 1층 (도화동)
3rd row인천광역시 미추홀구 숭의동 124
4th row인천광역시 미추홀구 석정로 156 (도화동)
5th row인천광역시 미추홀구 경인로 323 (도화동)
ValueCountFrequency (%)
인천광역시 101
18.5%
미추홀구 101
18.5%
숭의동 30
 
5.5%
도화동 21
 
3.8%
주안동 20
 
3.7%
석정로 17
 
3.1%
인하로 10
 
1.8%
용현동 9
 
1.6%
1층 9
 
1.6%
경인로 8
 
1.5%
Other values (166) 220
40.3%
2023-12-13T05:28:31.919830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
497
 
17.1%
인 137
 
4.7%
역 104
 
3.6%
천 104
 
3.6%
미 103
 
3.6%
추 103
 
3.6%
홀 103
 
3.6%
시 102
 
3.5%
구 102
 
3.5%
광 101
 
3.5%
Other values (123) 1442
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1758
60.7%
Space Separator 497
 
17.1%
Decimal Number 374
 
12.9%
Open Punctuation 97
 
3.3%
Close Punctuation 97
 
3.3%
Other Punctuation 47
 
1.6%
Dash Punctuation 15
 
0.5%
Uppercase Letter 10
 
0.3%
Lowercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 137
 
7.8%
역 104
 
5.9%
천 104
 
5.9%
미 103
 
5.9%
추 103
 
5.9%
홀 103
 
5.9%
시 102
 
5.8%
구 102
 
5.8%
광 101
 
5.7%
동 101
 
5.7%
Other values (97) 698
39.7%
Decimal Number
ValueCountFrequency (%)
1 77
20.6%
2 75
20.1%
3 38
10.2%
6 35
9.4%
0 30
 
8.0%
4 28
 
7.5%
5 27
 
7.2%
8 25
 
6.7%
7 21
 
5.6%
9 18
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
S 3
30.0%
K 1
 
10.0%
V 1
 
10.0%
I 1
 
10.0%
E 1
 
10.0%
W 1
 
10.0%
T 1
 
10.0%
J 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
33.3%
y 1
33.3%
e 1
33.3%
Space Separator
ValueCountFrequency (%)
497
100.0%
Open Punctuation
ValueCountFrequency (%)
( 97
100.0%
Close Punctuation
ValueCountFrequency (%)
) 97
100.0%
Other Punctuation
ValueCountFrequency (%)
, 47
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1758
60.7%
Common 1127
38.9%
Latin 13
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 137
 
7.8%
역 104
 
5.9%
천 104
 
5.9%
미 103
 
5.9%
추 103
 
5.9%
홀 103
 
5.9%
시 102
 
5.8%
구 102
 
5.8%
광 101
 
5.7%
동 101
 
5.7%
Other values (97) 698
39.7%
Common
ValueCountFrequency (%)
497
44.1%
( 97
 
8.6%
) 97
 
8.6%
1 77
 
6.8%
2 75
 
6.7%
, 47
 
4.2%
3 38
 
3.4%
6 35
 
3.1%
0 30
 
2.7%
4 28
 
2.5%
Other values (5) 106
 
9.4%
Latin
ValueCountFrequency (%)
S 3
23.1%
K 1
 
7.7%
k 1
 
7.7%
y 1
 
7.7%
V 1
 
7.7%
I 1
 
7.7%
E 1
 
7.7%
W 1
 
7.7%
e 1
 
7.7%
T 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1758
60.7%
ASCII 1140
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
497
43.6%
( 97
 
8.5%
) 97
 
8.5%
1 77
 
6.8%
2 75
 
6.6%
, 47
 
4.1%
3 38
 
3.3%
6 35
 
3.1%
0 30
 
2.6%
4 28
 
2.5%
Other values (16) 119
 
10.4%
Hangul
ValueCountFrequency (%)
인 137
 
7.8%
역 104
 
5.9%
천 104
 
5.9%
미 103
 
5.9%
추 103
 
5.9%
홀 103
 
5.9%
시 102
 
5.8%
구 102
 
5.8%
광 101
 
5.7%
동 101
 
5.7%
Other values (97) 698
39.7%

지번주소
Text

Distinct93
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size940.0 B
2023-12-13T05:28:32.349378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length23.60396
Min length19

Characters and Unicode

Total characters2384
Distinct characters108
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

Unique87 ?
Unique (%)86.1%

Sample

1st row인천광역시 미추홀구 숭의동 162
2nd row인천광역시 미추홀구 도화동 89-16 1층
3rd row인천광역시 미추홀구 숭의동 125
4th row인천광역시 미추홀구 도화동 80-5
5th row인천광역시 미추홀구 도화동 377-4
ValueCountFrequency (%)
인천광역시 101
22.1%
미추홀구 101
22.1%
숭의동 33
 
7.2%
도화동 25
 
5.5%
주안동 24
 
5.3%
용현동 11
 
2.4%
1층 10
 
2.2%
2층 8
 
1.8%
학익동 5
 
1.1%
평화빌딩 3
 
0.7%
Other values (118) 136
29.8%
2023-12-13T05:28:32.914925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
446
18.7%
1 120
 
5.0%
인 104
 
4.4%
역 104
 
4.4%
동 102
 
4.3%
천 102
 
4.3%
시 102
 
4.3%
미 101
 
4.2%
홀 101
 
4.2%
구 101
 
4.2%
Other values (98) 1001
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1356
56.9%
Decimal Number 474
 
19.9%
Space Separator 446
 
18.7%
Dash Punctuation 92
 
3.9%
Uppercase Letter 10
 
0.4%
Lowercase Letter 3
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 104
 
7.7%
역 104
 
7.7%
동 102
 
7.5%
천 102
 
7.5%
시 102
 
7.5%
미 101
 
7.4%
홀 101
 
7.4%
구 101
 
7.4%
추 101
 
7.4%
광 101
 
7.4%
Other values (72) 337
24.9%
Decimal Number
ValueCountFrequency (%)
1 120
25.3%
2 56
11.8%
3 49
10.3%
5 40
 
8.4%
7 40
 
8.4%
8 38
 
8.0%
6 36
 
7.6%
0 33
 
7.0%
4 32
 
6.8%
9 30
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
S 3
30.0%
K 1
 
10.0%
V 1
 
10.0%
I 1
 
10.0%
E 1
 
10.0%
W 1
 
10.0%
J 1
 
10.0%
T 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
33.3%
y 1
33.3%
e 1
33.3%
Space Separator
ValueCountFrequency (%)
446
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1356
56.9%
Common 1015
42.6%
Latin 13
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 104
 
7.7%
역 104
 
7.7%
동 102
 
7.5%
천 102
 
7.5%
시 102
 
7.5%
미 101
 
7.4%
홀 101
 
7.4%
구 101
 
7.4%
추 101
 
7.4%
광 101
 
7.4%
Other values (72) 337
24.9%
Common
ValueCountFrequency (%)
446
43.9%
1 120
 
11.8%
- 92
 
9.1%
2 56
 
5.5%
3 49
 
4.8%
5 40
 
3.9%
7 40
 
3.9%
8 38
 
3.7%
6 36
 
3.5%
0 33
 
3.3%
Other values (5) 65
 
6.4%
Latin
ValueCountFrequency (%)
S 3
23.1%
k 1
 
7.7%
K 1
 
7.7%
y 1
 
7.7%
V 1
 
7.7%
I 1
 
7.7%
E 1
 
7.7%
W 1
 
7.7%
e 1
 
7.7%
J 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1356
56.9%
ASCII 1028
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
446
43.4%
1 120
 
11.7%
- 92
 
8.9%
2 56
 
5.4%
3 49
 
4.8%
5 40
 
3.9%
7 40
 
3.9%
8 38
 
3.7%
6 36
 
3.5%
0 33
 
3.2%
Other values (16) 78
 
7.6%
Hangul
ValueCountFrequency (%)
인 104
 
7.7%
역 104
 
7.7%
동 102
 
7.5%
천 102
 
7.5%
시 102
 
7.5%
미 101
 
7.4%
홀 101
 
7.4%
구 101
 
7.4%
추 101
 
7.4%
광 101
 
7.4%
Other values (72) 337
24.9%

위도
Real number (ℝ)

MISSING 

Distinct81
Distinct (%)86.2%
Missing7
Missing (%)6.9%
Infinite0
Infinite (%)0.0%
Mean37.459971
Minimum37.438622
Maximum37.481005
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-13T05:28:33.110344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.438622
5-th percentile37.441165
Q137.452056
median37.463039
Q337.466371
95-th percentile37.470332
Maximum37.481005
Range0.04238374
Interquartile range (IQR)0.014315952

Descriptive statistics

Standard deviation0.0090062699
Coefficient of variation (CV)0.00024042384
Kurtosis-0.13852989
Mean37.459971
Median Absolute Deviation (MAD)0.004717015
Skewness-0.61555217
Sum3521.2373
Variance8.1112898 × 10-5
MonotonicityNot monotonic
2023-12-13T05:28:33.302639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4677714 3
 
3.0%
37.4662932 3
 
3.0%
37.47440152 3
 
3.0%
37.46403167 2
 
2.0%
37.46479518 2
 
2.0%
37.45162843 2
 
2.0%
37.46381891 2
 
2.0%
37.46805388 2
 
2.0%
37.44817002 2
 
2.0%
37.46431782 2
 
2.0%
Other values (71) 71
70.3%
(Missing) 7
 
6.9%
ValueCountFrequency (%)
37.43862168 1
1.0%
37.43949224 1
1.0%
37.43978679 1
1.0%
37.4399366 1
1.0%
37.44067898 1
1.0%
37.44142747 1
1.0%
37.44448914 1
1.0%
37.44478424 1
1.0%
37.44762897 1
1.0%
37.44794026 1
1.0%
ValueCountFrequency (%)
37.48100542 1
 
1.0%
37.47440152 3
3.0%
37.47325568 1
 
1.0%
37.46875843 1
 
1.0%
37.46818173 1
 
1.0%
37.46817582 1
 
1.0%
37.46805388 2
2.0%
37.4680359 1
 
1.0%
37.46801016 1
 
1.0%
37.46796765 1
 
1.0%

경도
Real number (ℝ)

MISSING 

Distinct81
Distinct (%)86.2%
Missing7
Missing (%)6.9%
Infinite0
Infinite (%)0.0%
Mean126.66185
Minimum126.63842
Maximum126.69531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-13T05:28:33.490560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63842
5-th percentile126.64227
Q1126.64785
median126.65818
Q3126.67369
95-th percentile126.69214
Maximum126.69531
Range0.0568822
Interquartile range (IQR)0.025832475

Descriptive statistics

Standard deviation0.015929924
Coefficient of variation (CV)0.00012576734
Kurtosis-0.8039659
Mean126.66185
Median Absolute Deviation (MAD)0.0118606
Skewness0.59610226
Sum11906.213
Variance0.00025376247
MonotonicityNot monotonic
2023-12-13T05:28:33.641296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6586392 3
 
3.0%
126.6467722 3
 
3.0%
126.677486 3
 
3.0%
126.6478261 2
 
2.0%
126.644815 2
 
2.0%
126.6556376 2
 
2.0%
126.6405736 2
 
2.0%
126.6535032 2
 
2.0%
126.6916003 2
 
2.0%
126.6485176 2
 
2.0%
Other values (71) 71
70.3%
(Missing) 7
 
6.9%
ValueCountFrequency (%)
126.6384243 1
1.0%
126.6405736 2
2.0%
126.6409364 1
1.0%
126.6415704 1
1.0%
126.6426488 1
1.0%
126.6435044 1
1.0%
126.6445717 1
1.0%
126.644815 2
2.0%
126.6450629 1
1.0%
126.6451243 1
1.0%
ValueCountFrequency (%)
126.6953065 1
1.0%
126.694592 1
1.0%
126.6935741 1
1.0%
126.693432 1
1.0%
126.6922215 1
1.0%
126.6921031 1
1.0%
126.6916003 2
2.0%
126.6891204 1
1.0%
126.6884935 1
1.0%
126.6869043 1
1.0%

Interactions

2023-12-13T05:28:28.461164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:28:27.967035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:28:28.231120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:28:28.546973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:28:28.051711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:28:28.311912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:28:28.624028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:28:28.144929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:28:28.383119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:28:33.740153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번신고일자상호명도로명주소지번주소위도경도
연번1.0001.0000.9730.9740.8460.1300.000
신고일자1.0001.0000.9910.9770.9350.9700.899
상호명0.9730.9911.0000.9990.9890.9910.938
도로명주소0.9740.9770.9991.0000.9991.0001.000
지번주소0.8460.9350.9890.9991.0001.0001.000
위도0.1300.9700.9911.0001.0001.0000.720
경도0.0000.8990.9381.0001.0000.7201.000
2023-12-13T05:28:33.853563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.000-0.1920.076
위도-0.1921.000-0.265
경도0.076-0.2651.000

Missing values

2023-12-13T05:28:28.744684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:28:28.891549image/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.
2023-12-13T05:28:29.043246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번신고일자상호명도로명주소지번주소위도경도
011981-01-30동서문화인쇄공사인천광역시 미추홀구 숭의동 161인천광역시 미추홀구 숭의동 162<NA><NA>
121991-02-18뽀빠이인쇄소인천광역시 미추홀구 석정로 208, 1층 (도화동)인천광역시 미추홀구 도화동 89-16 1층37.467742126.65842
231991-02-18세종사인천광역시 미추홀구 숭의동 124인천광역시 미추홀구 숭의동 125<NA><NA>
341991-02-18중앙프린텍인천광역시 미추홀구 석정로 156 (도화동)인천광역시 미추홀구 도화동 80-537.468176126.652718
451991-02-18태흥사인천광역시 미추홀구 경인로 323 (도화동)인천광역시 미추홀구 도화동 377-437.459068126.676128
561991-05-27흥원기획인천광역시 미추홀구 경인로 283 (도화동)인천광역시 미추홀구 도화동 398-737.461505126.672894
671991-05-27정우인쇄사인천광역시 미추홀구 경인로70번길 10-13 (숭의동)인천광역시 미추홀구 숭의동 173-337.464873126.650204
781992-06-19인쇄문화인천광역시 미추홀구 석정로 210 (도화동)인천광역시 미추홀구 도화동 89-2637.467771126.658639
891992-07-21대신기획인천광역시 미추홀구 주안동 1015 37통1반인천광역시 미추홀구 주안동 1015 37통2반<NA><NA>
9101992-10-20청림인쇄공사인천광역시 미추홀구 석정로 210 (도화동)인천광역시 미추홀구 도화동 89-2637.467771126.658639
연번신고일자상호명도로명주소지번주소위도경도
91922010-08-11디자인토리인천광역시 미추홀구 용정공원로 33 (용현동, 인천 SK Sky VIEW)인천광역시 미추홀구 용현동 664 인천 SK Sky VIEW37.452015126.645063
92932020-05-28캐논인쇄출력센터인천광역시 미추홀구 용정공원로83번길 43, e편한세상 시티 인하대역 (용현동)인천광역시 미추홀구 용현동 665-19 e편한세상 시티 인하대역 102동37.447629126.647095
93942015-11-11네오아트비젼인천광역시 미추홀구 방축로 312, 주안제이타워2차 (주안동)인천광역시 미추홀구 주안동 1385-10 주안제이타워2차37.474402126.677486
94952020-11-20(주)베스라이트인천광역시 미추홀구 방축로 312, 제이타워2차 (주안동)인천광역시 미추홀구 주안동 1385-10 제이타워2차37.474402126.677486
95962021-05-04국제인쇄사인천광역시 미추홀구 석정로 164-1, 3층 (도화동)인천광역시 미추홀구 도화동 80-31 3층37.468054126.653503
96972021-07-14디자인(DESIGN)편집인천광역시 미추홀구 석정로76번길 23, 평화빌딩 2층 (숭의동)인천광역시 미추홀구 숭의동 124-116 평화빌딩 2층37.466293126.646772
97982022-01-19신촌 디자인 인쇄인천광역시 미추홀구 미추로 20, 2층 (숭의동)인천광역시 미추홀구 숭의동 190-40 2층37.462002126.647525
98992022-11-25예림디자인인천광역시 미추홀구 독정이로 54, 2층 (숭의동)인천광역시 미추홀구 숭의동 284-237.460567126.652806
991002023-04-07소나무 디자인인천광역시 미추홀구 인주대로 304, 영인빌딩 (주안동)인천광역시 미추홀구 주안동 761-5 영인빌딩37.451742126.670196
1001012023-04-12대광인쇄복사인천광역시 미추홀구 장천로 7 (숭의동)인천광역시 미추홀구 숭의동 309-637.459028126.645743