Overview

Dataset statistics

Number of variables8
Number of observations159
Missing cells89
Missing cells (%)7.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.2 KiB
Average record size in memory65.8 B

Variable types

Numeric1
Categorical2
DateTime1
Text4

Dataset

Description연수구 내 식품접객업소 중 현재 운영 중인 중국식당 현황 (업종명, 인허가일자, 업소명, 소재지, 소재지전화, 업태명)
Author인천광역시 연수구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15067544&srcSe=7661IVAWM27C61E190

Alerts

업종명 has constant value ""Constant
업태명 has constant value ""Constant
소재지전화 has 89 (56.0%) missing valuesMissing
연번 has unique valuesUnique
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2024-01-28 04:56:45.705668
Analysis finished2024-01-28 04:56:46.277909
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct159
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80
Minimum1
Maximum159
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-01-28T13:56:46.333069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.9
Q140.5
median80
Q3119.5
95-th percentile151.1
Maximum159
Range158
Interquartile range (IQR)79

Descriptive statistics

Standard deviation46.043458
Coefficient of variation (CV)0.57554322
Kurtosis-1.2
Mean80
Median Absolute Deviation (MAD)40
Skewness0
Sum12720
Variance2120
MonotonicityStrictly increasing
2024-01-28T13:56:46.438345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
2 1
 
0.6%
103 1
 
0.6%
104 1
 
0.6%
105 1
 
0.6%
106 1
 
0.6%
107 1
 
0.6%
108 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
Other values (149) 149
93.7%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
159 1
0.6%
158 1
0.6%
157 1
0.6%
156 1
0.6%
155 1
0.6%
154 1
0.6%
153 1
0.6%
152 1
0.6%
151 1
0.6%
150 1
0.6%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
일반음식점
159 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 159
100.0%

Length

2024-01-28T13:56:46.551100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T13:56:46.623825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 159
100.0%

인허가일자
Date

Distinct154
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum1992-06-19 00:00:00
Maximum2023-03-16 00:00:00
2024-01-28T13:56:46.705042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T13:56:46.807089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct158
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-01-28T13:56:46.977560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length6.7924528
Min length1

Characters and Unicode

Total characters1080
Distinct characters271
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique157 ?
Unique (%)98.7%

Sample

1st row만리성
2nd row대성반점
3rd row자금성
4th row경남자금성
5th row야래향
ValueCountFrequency (%)
송도점 16
 
7.3%
마라탕 3
 
1.4%
홍콩반점0410 3
 
1.4%
마화쿵부마라탕 2
 
0.9%
마라공방 2
 
0.9%
연수 2
 
0.9%
china 2
 
0.9%
인천스퀘어원점 2
 
0.9%
차이나 2
 
0.9%
트리플스트리트 2
 
0.9%
Other values (179) 184
83.6%
2024-01-28T13:56:47.254740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
61
 
5.6%
점 58
 
5.4%
라 36
 
3.3%
마 35
 
3.2%
도 34
 
3.1%
이 31
 
2.9%
송 29
 
2.7%
탕 26
 
2.4%
( 19
 
1.8%
) 19
 
1.8%
Other values (261) 732
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 883
81.8%
Space Separator 61
 
5.6%
Uppercase Letter 37
 
3.4%
Decimal Number 35
 
3.2%
Lowercase Letter 22
 
2.0%
Open Punctuation 19
 
1.8%
Close Punctuation 19
 
1.8%
Other Punctuation 3
 
0.3%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 58
 
6.6%
라 36
 
4.1%
마 35
 
4.0%
도 34
 
3.9%
이 31
 
3.5%
송 29
 
3.3%
탕 26
 
2.9%
차 17
 
1.9%
리 16
 
1.8%
반 15
 
1.7%
Other values (216) 586
66.4%
Uppercase Letter
ValueCountFrequency (%)
N 5
13.5%
C 5
13.5%
U 4
10.8%
A 3
 
8.1%
H 3
 
8.1%
O 2
 
5.4%
E 2
 
5.4%
I 2
 
5.4%
J 1
 
2.7%
K 1
 
2.7%
Other values (9) 9
24.3%
Lowercase Letter
ValueCountFrequency (%)
i 5
22.7%
a 3
13.6%
n 3
13.6%
h 3
13.6%
e 1
 
4.5%
l 1
 
4.5%
m 1
 
4.5%
t 1
 
4.5%
u 1
 
4.5%
o 1
 
4.5%
Other values (2) 2
 
9.1%
Decimal Number
ValueCountFrequency (%)
0 10
28.6%
1 8
22.9%
4 6
17.1%
7 3
 
8.6%
2 3
 
8.6%
9 2
 
5.7%
8 2
 
5.7%
5 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
' 1
33.3%
Space Separator
ValueCountFrequency (%)
61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 879
81.4%
Common 137
 
12.7%
Latin 60
 
5.6%
Han 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 58
 
6.6%
라 36
 
4.1%
마 35
 
4.0%
도 34
 
3.9%
이 31
 
3.5%
송 29
 
3.3%
탕 26
 
3.0%
차 17
 
1.9%
리 16
 
1.8%
반 15
 
1.7%
Other values (212) 582
66.2%
Latin
ValueCountFrequency (%)
N 5
 
8.3%
C 5
 
8.3%
i 5
 
8.3%
U 4
 
6.7%
a 3
 
5.0%
A 3
 
5.0%
n 3
 
5.0%
H 3
 
5.0%
h 3
 
5.0%
O 2
 
3.3%
Other values (22) 24
40.0%
Common
ValueCountFrequency (%)
61
44.5%
( 19
 
13.9%
) 19
 
13.9%
0 10
 
7.3%
1 8
 
5.8%
4 6
 
4.4%
7 3
 
2.2%
2 3
 
2.2%
9 2
 
1.5%
& 2
 
1.5%
Other values (3) 4
 
2.9%
Han
ValueCountFrequency (%)
東 1
25.0%
和 1
25.0%
辛 1
25.0%
火 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 879
81.4%
ASCII 196
 
18.1%
CJK 4
 
0.4%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
61
31.1%
( 19
 
9.7%
) 19
 
9.7%
0 10
 
5.1%
1 8
 
4.1%
4 6
 
3.1%
N 5
 
2.6%
C 5
 
2.6%
i 5
 
2.6%
U 4
 
2.0%
Other values (34) 54
27.6%
Hangul
ValueCountFrequency (%)
점 58
 
6.6%
라 36
 
4.1%
마 35
 
4.0%
도 34
 
3.9%
이 31
 
3.5%
송 29
 
3.3%
탕 26
 
3.0%
차 17
 
1.9%
리 16
 
1.8%
반 15
 
1.7%
Other values (212) 582
66.2%
CJK
ValueCountFrequency (%)
東 1
25.0%
和 1
25.0%
辛 1
25.0%
火 1
25.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

소재지(도로명)
Text

UNIQUE 

Distinct159
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-01-28T13:56:47.462778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length53
Mean length43.610063
Min length22

Characters and Unicode

Total characters6934
Distinct characters236
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

Unique159 ?
Unique (%)100.0%

Sample

1st row인천광역시 연수구 선학로 90 (선학동)
2nd row인천광역시 연수구 능허대로79번길 30 (옥련동,럭키송도 일반상가105)
3rd row인천광역시 연수구 청능대로 124 (동춘동,청량동 연수타운 (지상2층213호))
4th row인천광역시 연수구 원인재로 310, 2층 204호 (연수동)
5th row인천광역시 연수구 새말로 59, 지상1층 (연수동)
ValueCountFrequency (%)
인천광역시 159
 
12.8%
연수구 159
 
12.8%
송도동 88
 
7.1%
1층 27
 
2.2%
지상1층 26
 
2.1%
송도 21
 
1.7%
지상2층 18
 
1.4%
동춘동 17
 
1.4%
연수동 15
 
1.2%
컨벤시아대로 13
 
1.0%
Other values (417) 700
56.3%
2024-01-28T13:56:48.001511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1087
 
15.7%
1 381
 
5.5%
, 249
 
3.6%
동 229
 
3.3%
2 218
 
3.1%
시 195
 
2.8%
수 186
 
2.7%
연 185
 
2.7%
인 172
 
2.5%
( 171
 
2.5%
Other values (226) 3861
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3919
56.5%
Decimal Number 1208
 
17.4%
Space Separator 1087
 
15.7%
Other Punctuation 249
 
3.6%
Open Punctuation 171
 
2.5%
Close Punctuation 171
 
2.5%
Uppercase Letter 86
 
1.2%
Dash Punctuation 28
 
0.4%
Lowercase Letter 14
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 229
 
5.8%
시 195
 
5.0%
수 186
 
4.7%
연 185
 
4.7%
인 172
 
4.4%
천 169
 
4.3%
로 162
 
4.1%
송 161
 
4.1%
광 160
 
4.1%
역 159
 
4.1%
Other values (188) 2141
54.6%
Uppercase Letter
ValueCountFrequency (%)
A 16
18.6%
B 14
16.3%
C 12
14.0%
D 8
9.3%
U 5
 
5.8%
T 5
 
5.8%
M 5
 
5.8%
S 4
 
4.7%
E 4
 
4.7%
N 3
 
3.5%
Other values (7) 10
11.6%
Decimal Number
ValueCountFrequency (%)
1 381
31.5%
2 218
18.0%
0 144
 
11.9%
3 109
 
9.0%
4 83
 
6.9%
5 78
 
6.5%
6 60
 
5.0%
8 51
 
4.2%
7 48
 
4.0%
9 36
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
s 4
28.6%
a 3
21.4%
b 3
21.4%
t 2
14.3%
m 2
14.3%
Space Separator
ValueCountFrequency (%)
1087
100.0%
Other Punctuation
ValueCountFrequency (%)
, 249
100.0%
Open Punctuation
ValueCountFrequency (%)
( 171
100.0%
Close Punctuation
ValueCountFrequency (%)
) 171
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3919
56.5%
Common 2915
42.0%
Latin 100
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 229
 
5.8%
시 195
 
5.0%
수 186
 
4.7%
연 185
 
4.7%
인 172
 
4.4%
천 169
 
4.3%
로 162
 
4.1%
송 161
 
4.1%
광 160
 
4.1%
역 159
 
4.1%
Other values (188) 2141
54.6%
Latin
ValueCountFrequency (%)
A 16
16.0%
B 14
14.0%
C 12
12.0%
D 8
 
8.0%
U 5
 
5.0%
T 5
 
5.0%
M 5
 
5.0%
S 4
 
4.0%
E 4
 
4.0%
s 4
 
4.0%
Other values (12) 23
23.0%
Common
ValueCountFrequency (%)
1087
37.3%
1 381
 
13.1%
, 249
 
8.5%
2 218
 
7.5%
( 171
 
5.9%
) 171
 
5.9%
0 144
 
4.9%
3 109
 
3.7%
4 83
 
2.8%
5 78
 
2.7%
Other values (6) 224
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3919
56.5%
ASCII 3015
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1087
36.1%
1 381
 
12.6%
, 249
 
8.3%
2 218
 
7.2%
( 171
 
5.7%
) 171
 
5.7%
0 144
 
4.8%
3 109
 
3.6%
4 83
 
2.8%
5 78
 
2.6%
Other values (28) 324
 
10.7%
Hangul
ValueCountFrequency (%)
동 229
 
5.8%
시 195
 
5.0%
수 186
 
4.7%
연 185
 
4.7%
인 172
 
4.4%
천 169
 
4.3%
로 162
 
4.1%
송 161
 
4.1%
광 160
 
4.1%
역 159
 
4.1%
Other values (188) 2141
54.6%

소재지(지번)
Text

Distinct151
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-01-28T13:56:48.257317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length42
Mean length31.213836
Min length19

Characters and Unicode

Total characters4963
Distinct characters196
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

Unique144 ?
Unique (%)90.6%

Sample

1st row인천광역시 연수구 선학동 353 아주상가 201호
2nd row인천광역시 연수구 옥련동 626 럭키송도 일반상가105
3rd row인천광역시 연수구 동춘동 923 청량동 연수타운 (지상2층213호)
4th row인천광역시 연수구 연수동 532 연수경남상가 204호(2층)
5th row인천광역시 연수구 연수동 550-13 지상1층
ValueCountFrequency (%)
인천광역시 159
 
16.4%
연수구 159
 
16.4%
송도동 90
 
9.3%
지상1층 21
 
2.2%
송도 20
 
2.1%
연수동 20
 
2.1%
동춘동 18
 
1.9%
옥련동 13
 
1.3%
청학동 10
 
1.0%
1층 9
 
0.9%
Other values (328) 452
46.5%
2024-01-28T13:56:48.674372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
925
 
18.6%
1 272
 
5.5%
동 211
 
4.3%
수 187
 
3.8%
연 186
 
3.7%
2 174
 
3.5%
시 172
 
3.5%
인 162
 
3.3%
천 161
 
3.2%
광 160
 
3.2%
Other values (186) 2353
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2832
57.1%
Decimal Number 951
 
19.2%
Space Separator 925
 
18.6%
Dash Punctuation 136
 
2.7%
Uppercase Letter 59
 
1.2%
Other Punctuation 25
 
0.5%
Open Punctuation 12
 
0.2%
Close Punctuation 11
 
0.2%
Lowercase Letter 11
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 211
 
7.5%
수 187
 
6.6%
연 186
 
6.6%
시 172
 
6.1%
인 162
 
5.7%
천 161
 
5.7%
광 160
 
5.6%
역 159
 
5.6%
구 159
 
5.6%
도 136
 
4.8%
Other values (148) 1139
40.2%
Uppercase Letter
ValueCountFrequency (%)
B 9
15.3%
D 6
10.2%
A 6
10.2%
M 5
8.5%
U 5
8.5%
T 4
 
6.8%
E 4
 
6.8%
S 4
 
6.8%
C 3
 
5.1%
N 3
 
5.1%
Other values (7) 10
16.9%
Decimal Number
ValueCountFrequency (%)
1 272
28.6%
2 174
18.3%
0 95
 
10.0%
3 86
 
9.0%
4 75
 
7.9%
5 59
 
6.2%
6 56
 
5.9%
9 56
 
5.9%
8 48
 
5.0%
7 30
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
s 4
36.4%
a 3
27.3%
m 2
18.2%
t 2
18.2%
Other Punctuation
ValueCountFrequency (%)
, 24
96.0%
/ 1
 
4.0%
Space Separator
ValueCountFrequency (%)
925
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 136
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2832
57.1%
Common 2061
41.5%
Latin 70
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 211
 
7.5%
수 187
 
6.6%
연 186
 
6.6%
시 172
 
6.1%
인 162
 
5.7%
천 161
 
5.7%
광 160
 
5.6%
역 159
 
5.6%
구 159
 
5.6%
도 136
 
4.8%
Other values (148) 1139
40.2%
Latin
ValueCountFrequency (%)
B 9
12.9%
D 6
 
8.6%
A 6
 
8.6%
M 5
 
7.1%
U 5
 
7.1%
s 4
 
5.7%
T 4
 
5.7%
E 4
 
5.7%
S 4
 
5.7%
C 3
 
4.3%
Other values (11) 20
28.6%
Common
ValueCountFrequency (%)
925
44.9%
1 272
 
13.2%
2 174
 
8.4%
- 136
 
6.6%
0 95
 
4.6%
3 86
 
4.2%
4 75
 
3.6%
5 59
 
2.9%
6 56
 
2.7%
9 56
 
2.7%
Other values (7) 127
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2832
57.1%
ASCII 2131
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
925
43.4%
1 272
 
12.8%
2 174
 
8.2%
- 136
 
6.4%
0 95
 
4.5%
3 86
 
4.0%
4 75
 
3.5%
5 59
 
2.8%
6 56
 
2.6%
9 56
 
2.6%
Other values (28) 197
 
9.2%
Hangul
ValueCountFrequency (%)
동 211
 
7.5%
수 187
 
6.6%
연 186
 
6.6%
시 172
 
6.1%
인 162
 
5.7%
천 161
 
5.7%
광 160
 
5.6%
역 159
 
5.6%
구 159
 
5.6%
도 136
 
4.8%
Other values (148) 1139
40.2%

소재지전화
Text

MISSING 

Distinct69
Distinct (%)98.6%
Missing89
Missing (%)56.0%
Memory size1.4 KiB
2024-01-28T13:56:48.872630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.985714
Min length13

Characters and Unicode

Total characters979
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

Unique68 ?
Unique (%)97.1%

Sample

1st row 032- 815-2535
2nd row 032- 831-3001
3rd row 032- 813-0031
4th row 032- 813-8181
5th row032 -822 -4888
ValueCountFrequency (%)
032 61
34.9%
822 5
 
2.9%
832 4
 
2.3%
4
 
2.3%
831 4
 
2.3%
833 3
 
1.7%
851 3
 
1.7%
070 2
 
1.1%
710-2039 2
 
1.1%
813 2
 
1.1%
Other values (84) 85
48.6%
2024-01-28T13:56:49.167828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 140
14.3%
137
14.0%
0 132
13.5%
3 126
12.9%
2 112
11.4%
8 98
10.0%
1 69
7.0%
7 42
 
4.3%
5 42
 
4.3%
4 37
 
3.8%
Other values (2) 44
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 702
71.7%
Dash Punctuation 140
 
14.3%
Space Separator 137
 
14.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 132
18.8%
3 126
17.9%
2 112
16.0%
8 98
14.0%
1 69
9.8%
7 42
 
6.0%
5 42
 
6.0%
4 37
 
5.3%
6 23
 
3.3%
9 21
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 140
100.0%
Space Separator
ValueCountFrequency (%)
137
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 979
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 140
14.3%
137
14.0%
0 132
13.5%
3 126
12.9%
2 112
11.4%
8 98
10.0%
1 69
7.0%
7 42
 
4.3%
5 42
 
4.3%
4 37
 
3.8%
Other values (2) 44
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 979
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 140
14.3%
137
14.0%
0 132
13.5%
3 126
12.9%
2 112
11.4%
8 98
10.0%
1 69
7.0%
7 42
 
4.3%
5 42
 
4.3%
4 37
 
3.8%
Other values (2) 44
 
4.5%

업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
중국식
159 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중국식 159
100.0%

Length

2024-01-28T13:56:49.273411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T13:56:49.347481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중국식 159
100.0%

Interactions

2024-01-28T13:56:46.046945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T13:56:49.391694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소재지전화
연번1.0001.000
소재지전화1.0001.000

Missing values

2024-01-28T13:56:46.146869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T13:56:46.240253image/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

연번업종명인허가일자업소명소재지(도로명)소재지(지번)소재지전화업태명
01일반음식점1992-06-19만리성인천광역시 연수구 선학로 90 (선학동)인천광역시 연수구 선학동 353 아주상가 201호032- 815-2535중국식
12일반음식점1993-09-15대성반점인천광역시 연수구 능허대로79번길 30 (옥련동,럭키송도 일반상가105)인천광역시 연수구 옥련동 626 럭키송도 일반상가105032- 831-3001중국식
23일반음식점1993-07-06자금성인천광역시 연수구 청능대로 124 (동춘동,청량동 연수타운 (지상2층213호))인천광역시 연수구 동춘동 923 청량동 연수타운 (지상2층213호)032- 813-0031중국식
34일반음식점1993-08-25경남자금성인천광역시 연수구 원인재로 310, 2층 204호 (연수동)인천광역시 연수구 연수동 532 연수경남상가 204호(2층)032- 813-8181중국식
45일반음식점1994-07-26야래향인천광역시 연수구 새말로 59, 지상1층 (연수동)인천광역시 연수구 연수동 550-13 지상1층032 -822 -4888중국식
56일반음식점1994-07-26북경인천광역시 연수구 청량로79번길 16 (동춘동, 지상1층)인천광역시 연수구 동춘동 801-9 지상1층032- 832-4400중국식
67일반음식점1994-07-01왕짬뽕인천광역시 연수구 한나루로196번길 14 (옥련동,(지상1층))인천광역시 연수구 옥련동 308-18 (지상1층)<NA>중국식
78일반음식점1994-08-04만강홍인천광역시 연수구 원인재로 88, 2동 지상2층 202호 (동춘동, 대우삼환상가)인천광역시 연수구 동춘동 925-7 대우삼환상가 2/202032 -811 -8946중국식
89일반음식점1996-12-2624시 이사반점인천광역시 연수구 청명로3번길 8-6, 1층 (청학동)인천광역시 연수구 청학동 487-8 1층032- 815-7070중국식
910일반음식점1996-05-09중국관인천광역시 연수구 샘말로30번길 9, 2동 지상1층 (연수동)인천광역시 연수구 연수동 627-9 2동 지상1층032- 811-8803중국식
연번업종명인허가일자업소명소재지(도로명)소재지(지번)소재지전화업태명
149150일반음식점2023-01-02오늘의 중식인천광역시 연수구 하모니로36번길 3, 은하프라자 2층 201호 일부(6)호 (송도동)인천광역시 연수구 송도동 3-21 은하프라자<NA>중국식
150151일반음식점2023-01-18춘리마라탕 송도동점인천광역시 연수구 신송로 161, 더 하이츠 1층 120호 (송도동)인천광역시 연수구 송도동 21-14 송도 하이츠032 -834 -5557중국식
151152일반음식점2023-02-06백옥양꼬치인천광역시 연수구 송도과학로16번길 33-2, 송도 트리플스트리트 B동 1층 101호 (송도동)인천광역시 연수구 송도동 174-3 송도 트리플스트리트<NA>중국식
152153일반음식점2023-02-13마라매니아인천광역시 연수구 해돋이로172번길 38, BS프라자 1층 102호 (송도동)인천광역시 연수구 송도동 21-2 BS프라자<NA>중국식
153154일반음식점2023-02-13동화(東和)인천광역시 연수구 컨벤시아대로230번길 42, 송도아라플라자 1층 119호 (송도동)인천광역시 연수구 송도동 98-2 송도아라플라자<NA>중국식
154155일반음식점2023-02-17차이나는 클라스인천광역시 연수구 새말로35번길 9, 1층 일부호 (연수동)인천광역시 연수구 연수동 539-7<NA>중국식
155156일반음식점2023-03-07매란방 연수이마트점인천광역시 연수구 경원대로 184, 이마트 지상1층 일부호 (동춘동)인천광역시 연수구 동춘동 926-9 이마트 일부호<NA>중국식
156157일반음식점2023-03-08청킹객잔 송도점인천광역시 연수구 컨벤시아대로 116, 1층 106,107호 (송도동, 푸르지오월드마크)인천광역시 연수구 송도동 22-21 푸르지오월드마크<NA>중국식
157158일반음식점2023-03-14중국문화예술뮤지엄인천광역시 연수구 하모니로 158, 송도타임스페이스 3층 A-313일부호 (송도동)인천광역시 연수구 송도동 8-21 송도타임스페이스032 -212 -3660중국식
158159일반음식점2023-03-16메리화인천광역시 연수구 봉재산로54번길 6, 1층 102,103호 (동춘동)인천광역시 연수구 동춘동 1141-2 1층, 102호 및 103호<NA>중국식