Overview

Dataset statistics

Number of variables6
Number of observations424
Missing cells30
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.4 KiB
Average record size in memory49.3 B

Variable types

Numeric1
Categorical1
Text4

Dataset

Description인천광역시 모범음식점현황에 대한 항목( 번호/군구/업소명/주소/전화번호/주메뉴)에 관한 데이터를 제공하는 자료 입니다.
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15065207&srcSe=7661IVAWM27C61E190

Alerts

번호 is highly overall correlated with 군구High correlation
군구 is highly overall correlated with 번호High correlation
전화번호 has 30 (7.1%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2024-03-18 02:28:08.625024
Analysis finished2024-03-18 02:28:09.524056
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct424
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean212.5
Minimum1
Maximum424
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-03-18T11:28:09.620572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile22.15
Q1106.75
median212.5
Q3318.25
95-th percentile402.85
Maximum424
Range423
Interquartile range (IQR)211.5

Descriptive statistics

Standard deviation122.54251
Coefficient of variation (CV)0.57667063
Kurtosis-1.2
Mean212.5
Median Absolute Deviation (MAD)106
Skewness0
Sum90100
Variance15016.667
MonotonicityStrictly increasing
2024-03-18T11:28:09.747179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
293 1
 
0.2%
291 1
 
0.2%
290 1
 
0.2%
289 1
 
0.2%
288 1
 
0.2%
287 1
 
0.2%
286 1
 
0.2%
285 1
 
0.2%
284 1
 
0.2%
Other values (414) 414
97.6%
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 (%)
424 1
0.2%
423 1
0.2%
422 1
0.2%
421 1
0.2%
420 1
0.2%
419 1
0.2%
418 1
0.2%
417 1
0.2%
416 1
0.2%
415 1
0.2%

군구
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
미추홀구
89 
부평구
71 
남동구
58 
연수구
52 
강화군
42 
Other values (5)
112 

Length

Max length4
Median length3
Mean length3.0353774
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미추홀구 89
21.0%
부평구 71
16.7%
남동구 58
13.7%
연수구 52
12.3%
강화군 42
9.9%
중구 32
 
7.5%
계양구 29
 
6.8%
서구 24
 
5.7%
동구 18
 
4.2%
옹진군 9
 
2.1%

Length

2024-03-18T11:28:09.852853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T11:28:09.979280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미추홀구 89
21.0%
부평구 71
16.7%
남동구 58
13.7%
연수구 52
12.3%
강화군 42
9.9%
중구 32
 
7.5%
계양구 29
 
6.8%
서구 24
 
5.7%
동구 18
 
4.2%
옹진군 9
 
2.1%

주메뉴
Text

Distinct295
Distinct (%)69.6%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-03-18T11:28:10.245430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length5.5754717
Min length1

Characters and Unicode

Total characters2364
Distinct characters249
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

Unique243 ?
Unique (%)57.3%

Sample

1st row양구이, 한우등심구이
2nd row공화춘짜장면, 짬뽕
3rd row낙곱전골구이, 불낙전골부대찌개
4th row꾸지뽕삼계탕, 녹두삼계탕
5th row오리구이, 장어구이
ValueCountFrequency (%)
삼계탕 13
 
2.4%
돼지갈비 13
 
2.4%
보쌈 11
 
2.0%
삼겹살 11
 
2.0%
한정식 10
 
1.9%
설렁탕 9
 
1.7%
해물탕 9
 
1.7%
갈비탕 8
 
1.5%
짜장면 8
 
1.5%
꽃게탕 8
 
1.5%
Other values (277) 439
81.4%
2024-03-18T11:28:10.675013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 130
 
5.5%
탕 122
 
5.2%
116
 
4.9%
비 77
 
3.3%
갈 74
 
3.1%
지 50
 
2.1%
장 48
 
2.0%
국 46
 
1.9%
밥 41
 
1.7%
삼 38
 
1.6%
Other values (239) 1622
68.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2110
89.3%
Other Punctuation 131
 
5.5%
Space Separator 116
 
4.9%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
탕 122
 
5.8%
비 77
 
3.6%
갈 74
 
3.5%
지 50
 
2.4%
장 48
 
2.3%
국 46
 
2.2%
밥 41
 
1.9%
삼 38
 
1.8%
이 37
 
1.8%
리 36
 
1.7%
Other values (233) 1541
73.0%
Other Punctuation
ValueCountFrequency (%)
, 130
99.2%
. 1
 
0.8%
Space Separator
ValueCountFrequency (%)
116
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2110
89.3%
Common 253
 
10.7%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
탕 122
 
5.8%
비 77
 
3.6%
갈 74
 
3.5%
지 50
 
2.4%
장 48
 
2.3%
국 46
 
2.2%
밥 41
 
1.9%
삼 38
 
1.8%
이 37
 
1.8%
리 36
 
1.7%
Other values (233) 1541
73.0%
Common
ValueCountFrequency (%)
, 130
51.4%
116
45.8%
( 3
 
1.2%
) 3
 
1.2%
. 1
 
0.4%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2110
89.3%
ASCII 254
 
10.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 130
51.2%
116
45.7%
( 3
 
1.2%
) 3
 
1.2%
. 1
 
0.4%
A 1
 
0.4%
Hangul
ValueCountFrequency (%)
탕 122
 
5.8%
비 77
 
3.6%
갈 74
 
3.5%
지 50
 
2.4%
장 48
 
2.3%
국 46
 
2.2%
밥 41
 
1.9%
삼 38
 
1.8%
이 37
 
1.8%
리 36
 
1.7%
Other values (233) 1541
73.0%

업소명
Text

Distinct413
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-03-18T11:28:10.873317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length6.0141509
Min length2

Characters and Unicode

Total characters2550
Distinct characters416
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique404 ?
Unique (%)95.3%

Sample

1st row가조
2nd row공화춘
3rd row금촌집
4th row꾸지뽕삼계탕
5th row단해
ValueCountFrequency (%)
착한낙지 3
 
0.6%
백암왕순대 3
 
0.6%
계산점 3
 
0.6%
화로구이 3
 
0.6%
명가원설농탕 2
 
0.4%
조선화로집 2
 
0.4%
아우라지 2
 
0.4%
함흥관 2
 
0.4%
송도점 2
 
0.4%
보릿골 2
 
0.4%
Other values (453) 460
95.0%
2024-03-18T11:28:11.178569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
60
 
2.4%
점 50
 
2.0%
탕 47
 
1.8%
이 45
 
1.8%
가 44
 
1.7%
( 36
 
1.4%
) 36
 
1.4%
집 34
 
1.3%
주 33
 
1.3%
원 32
 
1.3%
Other values (406) 2133
83.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2363
92.7%
Space Separator 60
 
2.4%
Open Punctuation 36
 
1.4%
Close Punctuation 36
 
1.4%
Uppercase Letter 19
 
0.7%
Lowercase Letter 13
 
0.5%
Decimal Number 10
 
0.4%
Other Punctuation 7
 
0.3%
Other Symbol 5
 
0.2%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 50
 
2.1%
탕 47
 
2.0%
이 45
 
1.9%
가 44
 
1.9%
집 34
 
1.4%
주 33
 
1.4%
원 32
 
1.4%
부 30
 
1.3%
삼 29
 
1.2%
스 29
 
1.2%
Other values (371) 1990
84.2%
Uppercase Letter
ValueCountFrequency (%)
O 4
21.1%
L 3
15.8%
C 3
15.8%
D 1
 
5.3%
H 1
 
5.3%
F 1
 
5.3%
A 1
 
5.3%
X 1
 
5.3%
I 1
 
5.3%
N 1
 
5.3%
Other values (2) 2
10.5%
Lowercase Letter
ValueCountFrequency (%)
a 3
23.1%
e 2
15.4%
t 2
15.4%
o 1
 
7.7%
n 1
 
7.7%
p 1
 
7.7%
l 1
 
7.7%
i 1
 
7.7%
s 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
1 2
20.0%
0 2
20.0%
5 2
20.0%
8 1
10.0%
6 1
10.0%
9 1
10.0%
4 1
10.0%
Other Punctuation
ValueCountFrequency (%)
. 4
57.1%
& 3
42.9%
Space Separator
ValueCountFrequency (%)
60
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2352
92.2%
Common 149
 
5.8%
Latin 33
 
1.3%
Han 16
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 50
 
2.1%
탕 47
 
2.0%
이 45
 
1.9%
가 44
 
1.9%
집 34
 
1.4%
주 33
 
1.4%
원 32
 
1.4%
부 30
 
1.3%
삼 29
 
1.2%
스 29
 
1.2%
Other values (359) 1979
84.1%
Latin
ValueCountFrequency (%)
O 4
 
12.1%
a 3
 
9.1%
L 3
 
9.1%
C 3
 
9.1%
e 2
 
6.1%
t 2
 
6.1%
D 1
 
3.0%
H 1
 
3.0%
F 1
 
3.0%
A 1
 
3.0%
Other values (12) 12
36.4%
Han
ValueCountFrequency (%)
愛 3
18.8%
家 2
12.5%
黃 1
 
6.2%
福 1
 
6.2%
李 1
 
6.2%
肉 1
 
6.2%
盧 1
 
6.2%
和 1
 
6.2%
林 1
 
6.2%
本 1
 
6.2%
Other values (3) 3
18.8%
Common
ValueCountFrequency (%)
60
40.3%
( 36
24.2%
) 36
24.2%
. 4
 
2.7%
& 3
 
2.0%
1 2
 
1.3%
0 2
 
1.3%
5 2
 
1.3%
8 1
 
0.7%
6 1
 
0.7%
Other values (2) 2
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2347
92.0%
ASCII 181
 
7.1%
CJK 15
 
0.6%
None 5
 
0.2%
CJK Compat Ideographs 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
60
33.1%
( 36
19.9%
) 36
19.9%
O 4
 
2.2%
. 4
 
2.2%
& 3
 
1.7%
a 3
 
1.7%
L 3
 
1.7%
C 3
 
1.7%
e 2
 
1.1%
Other values (23) 27
14.9%
Hangul
ValueCountFrequency (%)
점 50
 
2.1%
탕 47
 
2.0%
이 45
 
1.9%
가 44
 
1.9%
집 34
 
1.4%
주 33
 
1.4%
원 32
 
1.4%
부 30
 
1.3%
삼 29
 
1.2%
스 29
 
1.2%
Other values (358) 1974
84.1%
None
ValueCountFrequency (%)
㈜ 5
100.0%
CJK
ValueCountFrequency (%)
愛 3
20.0%
家 2
13.3%
黃 1
 
6.7%
福 1
 
6.7%
肉 1
 
6.7%
盧 1
 
6.7%
和 1
 
6.7%
林 1
 
6.7%
本 1
 
6.7%
魚 1
 
6.7%
Other values (2) 2
13.3%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

주소
Text

Distinct422
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-03-18T11:28:11.467224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length54
Mean length30.235849
Min length11

Characters and Unicode

Total characters12820
Distinct characters302
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique421 ?
Unique (%)99.3%

Sample

1st row인천광역시 중구 신포로46번길 31 (내동)
2nd row인천광역시 중구 차이나타운로 43, 2,3,4층 (북성동3가)
3rd row인천광역시 중구 우현로90번길 19-1 (인현동)
4th row인천광역시 중구 우현로90번길 7 (인현동)
5th row인천광역시 중구 영종대로 120, 202,202-1호 (운서동, 두손에어파스텔)
ValueCountFrequency (%)
인천광역시 381
 
15.7%
미추홀구 89
 
3.7%
부평구 70
 
2.9%
남동구 58
 
2.4%
1층 54
 
2.2%
연수구 52
 
2.1%
강화군 42
 
1.7%
2층 37
 
1.5%
중구 32
 
1.3%
주안동 31
 
1.3%
Other values (850) 1584
65.2%
2024-03-18T11:28:11.944973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2075
 
16.2%
1 530
 
4.1%
동 501
 
3.9%
인 426
 
3.3%
, 411
 
3.2%
로 410
 
3.2%
천 402
 
3.1%
( 399
 
3.1%
) 399
 
3.1%
2 398
 
3.1%
Other values (292) 6869
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7289
56.9%
Decimal Number 2145
 
16.7%
Space Separator 2075
 
16.2%
Other Punctuation 416
 
3.2%
Open Punctuation 399
 
3.1%
Close Punctuation 399
 
3.1%
Dash Punctuation 60
 
0.5%
Uppercase Letter 27
 
0.2%
Math Symbol 8
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 501
 
6.9%
인 426
 
5.8%
로 410
 
5.6%
천 402
 
5.5%
시 392
 
5.4%
구 390
 
5.4%
광 382
 
5.2%
역 382
 
5.2%
층 223
 
3.1%
길 174
 
2.4%
Other values (262) 3607
49.5%
Decimal Number
ValueCountFrequency (%)
1 530
24.7%
2 398
18.6%
0 212
 
9.9%
3 205
 
9.6%
4 180
 
8.4%
5 161
 
7.5%
6 140
 
6.5%
7 124
 
5.8%
8 107
 
5.0%
9 88
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
B 8
29.6%
A 7
25.9%
C 3
 
11.1%
U 2
 
7.4%
M 2
 
7.4%
T 1
 
3.7%
D 1
 
3.7%
F 1
 
3.7%
N 1
 
3.7%
E 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 411
98.8%
. 4
 
1.0%
: 1
 
0.2%
Space Separator
ValueCountFrequency (%)
2075
100.0%
Open Punctuation
ValueCountFrequency (%)
( 399
100.0%
Close Punctuation
ValueCountFrequency (%)
) 399
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7289
56.9%
Common 5503
42.9%
Latin 28
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 501
 
6.9%
인 426
 
5.8%
로 410
 
5.6%
천 402
 
5.5%
시 392
 
5.4%
구 390
 
5.4%
광 382
 
5.2%
역 382
 
5.2%
층 223
 
3.1%
길 174
 
2.4%
Other values (262) 3607
49.5%
Common
ValueCountFrequency (%)
2075
37.7%
1 530
 
9.6%
, 411
 
7.5%
( 399
 
7.3%
) 399
 
7.3%
2 398
 
7.2%
0 212
 
3.9%
3 205
 
3.7%
4 180
 
3.3%
5 161
 
2.9%
Other values (9) 533
 
9.7%
Latin
ValueCountFrequency (%)
B 8
28.6%
A 7
25.0%
C 3
 
10.7%
U 2
 
7.1%
M 2
 
7.1%
T 1
 
3.6%
D 1
 
3.6%
b 1
 
3.6%
F 1
 
3.6%
N 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7289
56.9%
ASCII 5530
43.1%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2075
37.5%
1 530
 
9.6%
, 411
 
7.4%
( 399
 
7.2%
) 399
 
7.2%
2 398
 
7.2%
0 212
 
3.8%
3 205
 
3.7%
4 180
 
3.3%
5 161
 
2.9%
Other values (19) 560
 
10.1%
Hangul
ValueCountFrequency (%)
동 501
 
6.9%
인 426
 
5.8%
로 410
 
5.6%
천 402
 
5.5%
시 392
 
5.4%
구 390
 
5.4%
광 382
 
5.2%
역 382
 
5.2%
층 223
 
3.1%
길 174
 
2.4%
Other values (262) 3607
49.5%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

전화번호
Text

MISSING 

Distinct393
Distinct (%)99.7%
Missing30
Missing (%)7.1%
Memory size3.4 KiB
2024-03-18T11:28:12.162527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.015228
Min length12

Characters and Unicode

Total characters4734
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

Unique392 ?
Unique (%)99.5%

Sample

1st row032-772-6118
2nd row032-765-0571
3rd row032-772-9324
4th row032-777-0085
5th row032-746-1472
ValueCountFrequency (%)
032-421-4181 2
 
0.5%
032-511 2
 
0.5%
032-518-2357 1
 
0.3%
032-515-5951 1
 
0.3%
032-524-3300 1
 
0.3%
032-772-6118 1
 
0.3%
032-361-8752 1
 
0.3%
032-508-0120 1
 
0.3%
032-582-3119 1
 
0.3%
032-517-8777 1
 
0.3%
Other values (387) 387
97.0%
2024-03-18T11:28:12.835086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 788
16.6%
3 679
14.3%
2 670
14.2%
0 652
13.8%
5 338
7.1%
8 337
7.1%
7 311
 
6.6%
6 257
 
5.4%
1 254
 
5.4%
4 250
 
5.3%
Other values (2) 198
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3941
83.2%
Dash Punctuation 788
 
16.6%
Space Separator 5
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 679
17.2%
2 670
17.0%
0 652
16.5%
5 338
8.6%
8 337
8.6%
7 311
7.9%
6 257
 
6.5%
1 254
 
6.4%
4 250
 
6.3%
9 193
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 788
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4734
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 788
16.6%
3 679
14.3%
2 670
14.2%
0 652
13.8%
5 338
7.1%
8 337
7.1%
7 311
 
6.6%
6 257
 
5.4%
1 254
 
5.4%
4 250
 
5.3%
Other values (2) 198
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4734
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 788
16.6%
3 679
14.3%
2 670
14.2%
0 652
13.8%
5 338
7.1%
8 337
7.1%
7 311
 
6.6%
6 257
 
5.4%
1 254
 
5.4%
4 250
 
5.3%
Other values (2) 198
 
4.2%

Interactions

2024-03-18T11:28:09.318843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T11:28:12.919626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호군구
번호1.0000.975
군구0.9751.000
2024-03-18T11:28:12.987546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호군구
번호1.0000.724
군구0.7241.000

Missing values

2024-03-18T11:28:09.401439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T11:28:09.485429image/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

번호군구주메뉴업소명주소전화번호
01중구양구이, 한우등심구이가조인천광역시 중구 신포로46번길 31 (내동)032-772-6118
12중구공화춘짜장면, 짬뽕공화춘인천광역시 중구 차이나타운로 43, 2,3,4층 (북성동3가)032-765-0571
23중구낙곱전골구이, 불낙전골부대찌개금촌집인천광역시 중구 우현로90번길 19-1 (인현동)032-772-9324
34중구꾸지뽕삼계탕, 녹두삼계탕꾸지뽕삼계탕인천광역시 중구 우현로90번길 7 (인현동)032-777-0085
45중구오리구이, 장어구이단해인천광역시 중구 영종대로 120, 202,202-1호 (운서동, 두손에어파스텔)032-746-1472
56중구돼지왕갈비, 삼겹살돈비어천가인천광역시 중구 개항로53번길 10, 1~2층 (내동)032-777-1300
67중구양념소갈비코스, 갈비탕명품관인천광역시 중구 신도시남로141번길 13-5, 2층 201호 (운서동)032-746-9233
78중구망고크림소스새우, 월특꼬치짬뽕문차이나인천광역시 중구 차이나타운로 20 (북성동2가, 1층)032-881-4096
89중구죽, 비빔밥본죽앤비빔밥인천광역시 중구 신포로 18-1 (신생동)032-777-6233
910중구바지락순두부, 제육순두부부뚜막愛 순두부(신포점)인천광역시 중구 우현로35번길 24-3 (신포동)032-762-4477
번호군구주메뉴업소명주소전화번호
414415강화군소고기황소마을인천광역시 강화군 강화읍 강화대로440번길 5-1, 1층,2층<NA>
415416옹진군갈비삼삼구이인천광역시 옹진군 백령면 백령로 322032-836-3392
416417옹진군칼국수, 굴밥시골칼국수인천광역시 옹진군 백령면 백령로978번길 8-15032-836-1270
417418옹진군삼겹살, 백반사랑채인천광역시 옹진군 백령면 백령로271번길 10032-836-8859
418419옹진군성게칼국수, 성게비빔밥바다식당인천광역시 옹진군 대청면 대청로 13032-836-2476
419420옹진군굴, 바지락고추장찌개하늘가든인천광역시 옹진군 영흥면 영흥로251번길 24032-886-3916
420421옹진군산낙지철판바람의 마을인천광역시 옹진군 영흥면 선재로 63032-889-0725
421422옹진군영양탕, 토종닭장원토종마을인천광역시 옹진군 영흥면 영흥로 471032-886-3620
422423옹진군매운탕영흥가든인천광역시 옹진군 영흥면 영흥북로35번길 80032-886-3911
423424옹진군쟁반손짜장북경전통손짜장인천광역시 옹진군 영흥면 선재로 338032-889-7787