Overview

Dataset statistics

Number of variables6
Number of observations572
Missing cells347
Missing cells (%)10.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.5 KiB
Average record size in memory49.2 B

Variable types

Numeric1
Categorical1
Text4

Dataset

Description인천광역시 미추홀구의 즉석판매제조가공업에 대한 데이터로 연번, 업종명, 업소명, 소재지주소, 전화번호 등의 정보를 제공합니다.
Author인천광역시 미추홀구
URLhttps://www.data.go.kr/data/15080987/fileData.do

Alerts

업종명 has constant value ""Constant
소재지(도로명) has 11 (1.9%) missing valuesMissing
소재지전화 has 335 (58.6%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-23 04:25:13.427824
Analysis finished2024-03-23 04:25:18.146409
Duration4.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct572
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean286.5
Minimum1
Maximum572
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2024-03-23T04:25:19.074435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile29.55
Q1143.75
median286.5
Q3429.25
95-th percentile543.45
Maximum572
Range571
Interquartile range (IQR)285.5

Descriptive statistics

Standard deviation165.26645
Coefficient of variation (CV)0.57684625
Kurtosis-1.2
Mean286.5
Median Absolute Deviation (MAD)143
Skewness0
Sum163878
Variance27313
MonotonicityStrictly increasing
2024-03-23T04:25:20.007419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
386 1
 
0.2%
380 1
 
0.2%
381 1
 
0.2%
382 1
 
0.2%
383 1
 
0.2%
384 1
 
0.2%
385 1
 
0.2%
387 1
 
0.2%
378 1
 
0.2%
Other values (562) 562
98.3%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
572 1
0.2%
571 1
0.2%
570 1
0.2%
569 1
0.2%
568 1
0.2%
567 1
0.2%
566 1
0.2%
565 1
0.2%
564 1
0.2%
563 1
0.2%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
즉석판매제조가공업
572 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 572
100.0%

Length

2024-03-23T04:25:20.717961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T04:25:21.287761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 572
100.0%

업소명
Text

Distinct552
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2024-03-23T04:25:21.976114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length6.1958042
Min length2

Characters and Unicode

Total characters3544
Distinct characters507
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique534 ?
Unique (%)93.4%

Sample

1st row석바위기름집
2nd row충청도기름집
3rd row부산기름집
4th row한미떡방
5th row용현방아간
ValueCountFrequency (%)
주식회사 10
 
1.4%
용현점 4
 
0.6%
반찬 4
 
0.6%
카페 4
 
0.6%
케이크 4
 
0.6%
진이찬방 3
 
0.4%
금산건강원 3
 
0.4%
낙원떡방아간 3
 
0.4%
행복한 3
 
0.4%
주안점 3
 
0.4%
Other values (638) 668
94.2%
2024-03-23T04:25:23.195134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
187
 
5.3%
방 73
 
2.1%
이 68
 
1.9%
아 64
 
1.8%
떡 60
 
1.7%
원 58
 
1.6%
간 57
 
1.6%
강 51
 
1.4%
찬 48
 
1.4%
) 47
 
1.3%
Other values (497) 2831
79.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3060
86.3%
Space Separator 187
 
5.3%
Lowercase Letter 112
 
3.2%
Uppercase Letter 61
 
1.7%
Close Punctuation 47
 
1.3%
Open Punctuation 47
 
1.3%
Decimal Number 19
 
0.5%
Other Punctuation 11
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 73
 
2.4%
이 68
 
2.2%
아 64
 
2.1%
떡 60
 
2.0%
원 58
 
1.9%
간 57
 
1.9%
강 51
 
1.7%
찬 48
 
1.6%
건 44
 
1.4%
주 40
 
1.3%
Other values (440) 2497
81.6%
Lowercase Letter
ValueCountFrequency (%)
e 17
15.2%
i 14
12.5%
o 11
9.8%
a 10
 
8.9%
n 7
 
6.2%
s 6
 
5.4%
k 5
 
4.5%
l 5
 
4.5%
c 5
 
4.5%
m 5
 
4.5%
Other values (9) 27
24.1%
Uppercase Letter
ValueCountFrequency (%)
E 7
11.5%
O 6
 
9.8%
M 5
 
8.2%
S 4
 
6.6%
U 4
 
6.6%
T 4
 
6.6%
A 4
 
6.6%
N 4
 
6.6%
L 3
 
4.9%
D 3
 
4.9%
Other values (9) 17
27.9%
Decimal Number
ValueCountFrequency (%)
2 6
31.6%
1 4
21.1%
9 2
 
10.5%
7 2
 
10.5%
8 2
 
10.5%
5 1
 
5.3%
0 1
 
5.3%
3 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 2
18.2%
＆ 2
18.2%
. 2
18.2%
' 1
9.1%
; 1
9.1%
& 1
9.1%
! 1
9.1%
: 1
9.1%
Space Separator
ValueCountFrequency (%)
187
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3057
86.3%
Common 311
 
8.8%
Latin 173
 
4.9%
Han 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 73
 
2.4%
이 68
 
2.2%
아 64
 
2.1%
떡 60
 
2.0%
원 58
 
1.9%
간 57
 
1.9%
강 51
 
1.7%
찬 48
 
1.6%
건 44
 
1.4%
주 40
 
1.3%
Other values (437) 2494
81.6%
Latin
ValueCountFrequency (%)
e 17
 
9.8%
i 14
 
8.1%
o 11
 
6.4%
a 10
 
5.8%
n 7
 
4.0%
E 7
 
4.0%
s 6
 
3.5%
O 6
 
3.5%
k 5
 
2.9%
l 5
 
2.9%
Other values (28) 85
49.1%
Common
ValueCountFrequency (%)
187
60.1%
) 47
 
15.1%
( 47
 
15.1%
2 6
 
1.9%
1 4
 
1.3%
, 2
 
0.6%
9 2
 
0.6%
7 2
 
0.6%
＆ 2
 
0.6%
8 2
 
0.6%
Other values (9) 10
 
3.2%
Han
ValueCountFrequency (%)
溫 1
33.3%
愛 1
33.3%
饌 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3057
86.3%
ASCII 482
 
13.6%
CJK 3
 
0.1%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
187
38.8%
) 47
 
9.8%
( 47
 
9.8%
e 17
 
3.5%
i 14
 
2.9%
o 11
 
2.3%
a 10
 
2.1%
n 7
 
1.5%
E 7
 
1.5%
s 6
 
1.2%
Other values (46) 129
26.8%
Hangul
ValueCountFrequency (%)
방 73
 
2.4%
이 68
 
2.2%
아 64
 
2.1%
떡 60
 
2.0%
원 58
 
1.9%
간 57
 
1.9%
강 51
 
1.7%
찬 48
 
1.6%
건 44
 
1.4%
주 40
 
1.3%
Other values (437) 2494
81.6%
None
ValueCountFrequency (%)
＆ 2
100.0%
CJK
ValueCountFrequency (%)
溫 1
33.3%
愛 1
33.3%
饌 1
33.3%

소재지(도로명)
Text

MISSING 

Distinct532
Distinct (%)94.8%
Missing11
Missing (%)1.9%
Memory size4.6 KiB
2024-03-23T04:25:23.996378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length52
Mean length32.910873
Min length22

Characters and Unicode

Total characters18463
Distinct characters238
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

Unique512 ?
Unique (%)91.3%

Sample

1st row인천광역시 미추홀구 경원대로852번길 10, 석바위시장 A-10호 (주안동)
2nd row인천광역시 미추홀구 인주대로131번길 26 (용현동)
3rd row인천광역시 미추홀구 미추홀대로669번길 75 (도화동)
4th row인천광역시 미추홀구 독정이로 19-1 (용현동)
5th row인천광역시 미추홀구 인하로119번길 27 (용현동)
ValueCountFrequency (%)
인천광역시 561
 
16.1%
미추홀구 561
 
16.1%
주안동 190
 
5.4%
1층 183
 
5.2%
용현동 178
 
5.1%
숭의동 45
 
1.3%
학익동 42
 
1.2%
도화동 41
 
1.2%
관교동 40
 
1.1%
지하1층 32
 
0.9%
Other values (695) 1616
46.3%
2024-03-23T04:25:25.835655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2929
 
15.9%
1 770
 
4.2%
인 726
 
3.9%
동 620
 
3.4%
미 618
 
3.3%
홀 610
 
3.3%
추 598
 
3.2%
천 590
 
3.2%
시 576
 
3.1%
( 567
 
3.1%
Other values (228) 9859
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10896
59.0%
Space Separator 2929
 
15.9%
Decimal Number 2866
 
15.5%
Open Punctuation 567
 
3.1%
Close Punctuation 567
 
3.1%
Other Punctuation 433
 
2.3%
Dash Punctuation 121
 
0.7%
Uppercase Letter 63
 
0.3%
Lowercase Letter 19
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 726
 
6.7%
동 620
 
5.7%
미 618
 
5.7%
홀 610
 
5.6%
추 598
 
5.5%
천 590
 
5.4%
시 576
 
5.3%
역 565
 
5.2%
구 563
 
5.2%
광 562
 
5.2%
Other values (190) 4868
44.7%
Uppercase Letter
ValueCountFrequency (%)
S 11
17.5%
B 11
17.5%
A 10
15.9%
K 6
9.5%
V 5
7.9%
E 5
7.9%
W 5
7.9%
I 5
7.9%
L 2
 
3.2%
G 1
 
1.6%
Other values (2) 2
 
3.2%
Decimal Number
ValueCountFrequency (%)
1 770
26.9%
2 384
13.4%
3 315
11.0%
5 254
 
8.9%
0 239
 
8.3%
4 231
 
8.1%
6 221
 
7.7%
8 180
 
6.3%
7 154
 
5.4%
9 118
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
k 5
26.3%
y 5
26.3%
e 3
15.8%
v 1
 
5.3%
r 1
 
5.3%
w 1
 
5.3%
o 1
 
5.3%
g 1
 
5.3%
c 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 432
99.8%
/ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
2929
100.0%
Open Punctuation
ValueCountFrequency (%)
( 567
100.0%
Close Punctuation
ValueCountFrequency (%)
) 567
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 121
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10896
59.0%
Common 7485
40.5%
Latin 82
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 726
 
6.7%
동 620
 
5.7%
미 618
 
5.7%
홀 610
 
5.6%
추 598
 
5.5%
천 590
 
5.4%
시 576
 
5.3%
역 565
 
5.2%
구 563
 
5.2%
광 562
 
5.2%
Other values (190) 4868
44.7%
Latin
ValueCountFrequency (%)
S 11
13.4%
B 11
13.4%
A 10
12.2%
K 6
7.3%
k 5
 
6.1%
y 5
 
6.1%
V 5
 
6.1%
E 5
 
6.1%
W 5
 
6.1%
I 5
 
6.1%
Other values (11) 14
17.1%
Common
ValueCountFrequency (%)
2929
39.1%
1 770
 
10.3%
( 567
 
7.6%
) 567
 
7.6%
, 432
 
5.8%
2 384
 
5.1%
3 315
 
4.2%
5 254
 
3.4%
0 239
 
3.2%
4 231
 
3.1%
Other values (7) 797
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10896
59.0%
ASCII 7567
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2929
38.7%
1 770
 
10.2%
( 567
 
7.5%
) 567
 
7.5%
, 432
 
5.7%
2 384
 
5.1%
3 315
 
4.2%
5 254
 
3.4%
0 239
 
3.2%
4 231
 
3.1%
Other values (28) 879
 
11.6%
Hangul
ValueCountFrequency (%)
인 726
 
6.7%
동 620
 
5.7%
미 618
 
5.7%
홀 610
 
5.6%
추 598
 
5.5%
천 590
 
5.4%
시 576
 
5.3%
역 565
 
5.2%
구 563
 
5.2%
광 562
 
5.2%
Other values (190) 4868
44.7%

소재지(지번)
Text

Distinct524
Distinct (%)91.8%
Missing1
Missing (%)0.2%
Memory size4.6 KiB
2024-03-23T04:25:26.466842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length44
Mean length24.669002
Min length19

Characters and Unicode

Total characters14086
Distinct characters210
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

Unique501 ?
Unique (%)87.7%

Sample

1st row인천광역시 미추홀구 주안동 954-8
2nd row인천광역시 미추홀구 용현동 453-124
3rd row인천광역시 미추홀구 도화동 449-6
4th row인천광역시 미추홀구 용현동 492-29
5th row인천광역시 미추홀구 용현동 95-1
ValueCountFrequency (%)
인천광역시 571
21.3%
미추홀구 571
21.3%
주안동 204
 
7.6%
용현동 185
 
6.9%
1층 58
 
2.2%
학익동 46
 
1.7%
숭의동 46
 
1.7%
도화동 45
 
1.7%
관교동 40
 
1.5%
101호 19
 
0.7%
Other values (661) 894
33.4%
2024-03-23T04:25:27.866924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2607
18.5%
1 775
 
5.5%
인 602
 
4.3%
동 601
 
4.3%
미 599
 
4.3%
천 598
 
4.2%
시 582
 
4.1%
추 578
 
4.1%
홀 578
 
4.1%
역 575
 
4.1%
Other values (200) 5991
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7925
56.3%
Decimal Number 2921
 
20.7%
Space Separator 2607
 
18.5%
Dash Punctuation 508
 
3.6%
Other Punctuation 49
 
0.3%
Uppercase Letter 49
 
0.3%
Lowercase Letter 20
 
0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 602
 
7.6%
동 601
 
7.6%
미 599
 
7.6%
천 598
 
7.5%
시 582
 
7.3%
추 578
 
7.3%
홀 578
 
7.3%
역 575
 
7.3%
구 572
 
7.2%
광 572
 
7.2%
Other values (161) 2068
26.1%
Uppercase Letter
ValueCountFrequency (%)
S 10
20.4%
A 6
12.2%
K 5
10.2%
W 5
10.2%
E 5
10.2%
I 5
10.2%
V 5
10.2%
B 4
 
8.2%
T 1
 
2.0%
J 1
 
2.0%
Other values (2) 2
 
4.1%
Decimal Number
ValueCountFrequency (%)
1 775
26.5%
4 321
11.0%
5 276
 
9.4%
2 276
 
9.4%
3 273
 
9.3%
6 244
 
8.4%
0 217
 
7.4%
9 202
 
6.9%
7 181
 
6.2%
8 156
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
k 5
25.0%
y 5
25.0%
e 3
15.0%
c 2
 
10.0%
r 1
 
5.0%
w 1
 
5.0%
o 1
 
5.0%
v 1
 
5.0%
g 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 47
95.9%
. 1
 
2.0%
/ 1
 
2.0%
Space Separator
ValueCountFrequency (%)
2607
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 508
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7925
56.3%
Common 6092
43.2%
Latin 69
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 602
 
7.6%
동 601
 
7.6%
미 599
 
7.6%
천 598
 
7.5%
시 582
 
7.3%
추 578
 
7.3%
홀 578
 
7.3%
역 575
 
7.3%
구 572
 
7.2%
광 572
 
7.2%
Other values (161) 2068
26.1%
Latin
ValueCountFrequency (%)
S 10
14.5%
A 6
8.7%
K 5
 
7.2%
k 5
 
7.2%
W 5
 
7.2%
E 5
 
7.2%
I 5
 
7.2%
V 5
 
7.2%
y 5
 
7.2%
B 4
 
5.8%
Other values (11) 14
20.3%
Common
ValueCountFrequency (%)
2607
42.8%
1 775
 
12.7%
- 508
 
8.3%
4 321
 
5.3%
5 276
 
4.5%
2 276
 
4.5%
3 273
 
4.5%
6 244
 
4.0%
0 217
 
3.6%
9 202
 
3.3%
Other values (8) 393
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7925
56.3%
ASCII 6161
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2607
42.3%
1 775
 
12.6%
- 508
 
8.2%
4 321
 
5.2%
5 276
 
4.5%
2 276
 
4.5%
3 273
 
4.4%
6 244
 
4.0%
0 217
 
3.5%
9 202
 
3.3%
Other values (29) 462
 
7.5%
Hangul
ValueCountFrequency (%)
인 602
 
7.6%
동 601
 
7.6%
미 599
 
7.6%
천 598
 
7.5%
시 582
 
7.3%
추 578
 
7.3%
홀 578
 
7.3%
역 575
 
7.3%
구 572
 
7.2%
광 572
 
7.2%
Other values (161) 2068
26.1%

소재지전화
Text

MISSING 

Distinct236
Distinct (%)99.6%
Missing335
Missing (%)58.6%
Memory size4.6 KiB
2024-03-23T04:25:28.570082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.983122
Min length9

Characters and Unicode

Total characters2840
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

Unique235 ?
Unique (%)99.2%

Sample

1st row032-883-9816
2nd row032-863-1828
3rd row032-883-4398
4th row032-886-9683
5th row032-866-8006
ValueCountFrequency (%)
032-875-3564 2
 
0.8%
032-881-2535 1
 
0.4%
032-719-2020 1
 
0.4%
032-872-2711 1
 
0.4%
032-866-2662 1
 
0.4%
032-888-7727 1
 
0.4%
032-426-6662 1
 
0.4%
032-461-0431 1
 
0.4%
032-881-7211 1
 
0.4%
032-426-0887 1
 
0.4%
Other values (226) 226
95.4%
2024-03-23T04:25:30.074357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 472
16.6%
2 414
14.6%
3 377
13.3%
8 359
12.6%
0 354
12.5%
6 193
6.8%
4 164
 
5.8%
7 145
 
5.1%
1 138
 
4.9%
5 129
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2368
83.4%
Dash Punctuation 472
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 414
17.5%
3 377
15.9%
8 359
15.2%
0 354
14.9%
6 193
8.2%
4 164
 
6.9%
7 145
 
6.1%
1 138
 
5.8%
5 129
 
5.4%
9 95
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 472
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2840
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 472
16.6%
2 414
14.6%
3 377
13.3%
8 359
12.6%
0 354
12.5%
6 193
6.8%
4 164
 
5.8%
7 145
 
5.1%
1 138
 
4.9%
5 129
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2840
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 472
16.6%
2 414
14.6%
3 377
13.3%
8 359
12.6%
0 354
12.5%
6 193
6.8%
4 164
 
5.8%
7 145
 
5.1%
1 138
 
4.9%
5 129
 
4.5%

Interactions

2024-03-23T04:25:15.154282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-23T04:25:15.791133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T04:25:16.700522image/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.
2024-03-23T04:25:17.436008image/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

연번업종명업소명소재지(도로명)소재지(지번)소재지전화
01즉석판매제조가공업석바위기름집인천광역시 미추홀구 경원대로852번길 10, 석바위시장 A-10호 (주안동)인천광역시 미추홀구 주안동 954-8<NA>
12즉석판매제조가공업충청도기름집인천광역시 미추홀구 인주대로131번길 26 (용현동)인천광역시 미추홀구 용현동 453-124032-883-9816
23즉석판매제조가공업부산기름집인천광역시 미추홀구 미추홀대로669번길 75 (도화동)인천광역시 미추홀구 도화동 449-6<NA>
34즉석판매제조가공업한미떡방인천광역시 미추홀구 독정이로 19-1 (용현동)인천광역시 미추홀구 용현동 492-29<NA>
45즉석판매제조가공업용현방아간인천광역시 미추홀구 인하로119번길 27 (용현동)인천광역시 미추홀구 용현동 95-1032-863-1828
56즉석판매제조가공업풍년방아간인천광역시 미추홀구 능해길77번길 12 (숭의동)인천광역시 미추홀구 용현동 684-52032-883-4398
67즉석판매제조가공업제일방아간인천광역시 미추홀구 한나루로 602-7 (도화동)인천광역시 미추홀구 도화동 429-53<NA>
78즉석판매제조가공업평화방아간인천광역시 미추홀구 석정로76번길 5-7 (숭의동)인천광역시 미추홀구 숭의동 124-130032-886-9683
89즉석판매제조가공업강남방아간인천광역시 미추홀구 동주길 105 (주안동)인천광역시 미추홀구 주안동 412-36<NA>
910즉석판매제조가공업대성상회인천광역시 미추홀구 한나루로 400 (학익동,1층 156호)인천광역시 미추홀구 학익동 264-6 1층 156호032-866-8006
연번업종명업소명소재지(도로명)소재지(지번)소재지전화
562563즉석판매제조가공업휘도르인천광역시 미추홀구 인하로352번길 5, 1층 일부호 (주안동)인천광역시 미추홀구 주안동 1525-1<NA>
563564즉석판매제조가공업수라원인천광역시 미추홀구 석정로 51, 컨벤션,홈플러스 지하3층 일부호 (숭의동)인천광역시 미추홀구 숭의동 180-6 컨벤션,홈플러스<NA>
564565즉석판매제조가공업수라원인천광역시 미추홀구 소성로 6, 홈플러스 지하1층 (용현동)인천광역시 미추홀구 용현동 648 홈플러스<NA>
565566즉석판매제조가공업(주)한울에프엔비인천광역시 미추홀구 소성로 6, 홈플러스 지하1층 (용현동)인천광역시 미추홀구 용현동 648 홈플러스<NA>
566567즉석판매제조가공업경북영농조합(장원)인천광역시 미추홀구 소성로 6, 홈플러스 지하1층 (용현동)인천광역시 미추홀구 용현동 648 홈플러스031-404-2240
567568즉석판매제조가공업마망카페인천광역시 미추홀구 연남로 35, 인천종합터미널,롯데백화점 지하1층 식품관 일부호 (관교동)인천광역시 미추홀구 관교동 15 인천종합터미널,롯데백화점<NA>
568569즉석판매제조가공업주식회사 미트뱅크인천광역시 미추홀구 숙골로88번길 12, 상가동 1층 7BL 일부호 (도화동, 더샵 인천스카이타워 1단지)인천광역시 미추홀구 도화동 1011 더샵 인천스카이타워 1단지<NA>
569570즉석판매제조가공업원푸드인천광역시 미추홀구 연남로 35, 인천종합터미널,롯데백화점 지하1층 일부호 (관교동)인천광역시 미추홀구 관교동 15 인천종합터미널,롯데백화점<NA>
570571즉석판매제조가공업서울쿠키와플샵 북촌지점인천광역시 미추홀구 연남로 35, 인천종합터미널,롯데백화점 지하1층 (관교동)인천광역시 미추홀구 관교동 15 인천종합터미널,롯데백화점<NA>
571572즉석판매제조가공업버들골인천광역시 미추홀구 연남로 35, 인천종합터미널,롯데백화점 지하1층 (관교동)인천광역시 미추홀구 관교동 15 인천종합터미널,롯데백화점<NA>