Overview

Dataset statistics

Number of variables9
Number of observations109
Missing cells2
Missing cells (%)0.2%
Duplicate rows1
Duplicate rows (%)0.9%
Total size in memory8.0 KiB
Average record size in memory75.2 B

Variable types

Text3
Categorical1
DateTime3
Numeric2

Dataset

Description경기도 수원시의 식품접객업 신고 현황 중 옥외영업을 신고한 업소에 대한 정보(업소명, 업종, 인허가일자, 옥외영업신고일자, 소재지주소, 소재지위경도)를 포함합니다.
URLhttps://www.data.go.kr/data/15099929/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 1 (0.9%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 16:29:32.570493
Analysis finished2023-12-12 16:29:34.101346
Duration1.53 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct108
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1004.0 B
2023-12-13T01:29:34.315268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length18
Mean length8.5963303
Min length2

Characters and Unicode

Total characters937
Distinct characters288
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

Unique107 ?
Unique (%)98.2%

Sample

1st row육식
2nd row장작클라스
3rd row(주)이학순제빵소
4th row아지트
5th row로스타임
ValueCountFrequency (%)
행궁점 4
 
2.5%
광교호수공원점 3
 
1.9%
논샬랑 2
 
1.2%
수원성대점 2
 
1.2%
커피 2
 
1.2%
정지영커피로스터즈 2
 
1.2%
나혜석점 2
 
1.2%
두강곱창 2
 
1.2%
coffee 2
 
1.2%
메가엠지씨커피 2
 
1.2%
Other values (137) 138
85.7%
2023-12-13T01:29:34.731005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
53
 
5.7%
점 29
 
3.1%
( 25
 
2.7%
) 25
 
2.7%
이 22
 
2.3%
수 20
 
2.1%
스 19
 
2.0%
원 17
 
1.8%
커 15
 
1.6%
o 13
 
1.4%
Other values (278) 699
74.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 660
70.4%
Lowercase Letter 83
 
8.9%
Uppercase Letter 72
 
7.7%
Space Separator 53
 
5.7%
Open Punctuation 25
 
2.7%
Close Punctuation 25
 
2.7%
Decimal Number 17
 
1.8%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 29
 
4.4%
이 22
 
3.3%
수 20
 
3.0%
스 19
 
2.9%
원 17
 
2.6%
커 15
 
2.3%
피 13
 
2.0%
리 11
 
1.7%
교 10
 
1.5%
지 10
 
1.5%
Other values (223) 494
74.8%
Lowercase Letter
ValueCountFrequency (%)
o 13
15.7%
e 10
12.0%
r 6
 
7.2%
n 6
 
7.2%
a 6
 
7.2%
c 5
 
6.0%
u 5
 
6.0%
i 5
 
6.0%
s 5
 
6.0%
t 4
 
4.8%
Other values (11) 18
21.7%
Uppercase Letter
ValueCountFrequency (%)
E 11
15.3%
F 7
9.7%
B 7
9.7%
C 7
9.7%
H 6
 
8.3%
O 5
 
6.9%
M 4
 
5.6%
N 3
 
4.2%
T 3
 
4.2%
J 2
 
2.8%
Other values (11) 17
23.6%
Decimal Number
ValueCountFrequency (%)
9 5
29.4%
1 4
23.5%
2 2
 
11.8%
5 2
 
11.8%
3 1
 
5.9%
4 1
 
5.9%
7 1
 
5.9%
8 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
' 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
53
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 660
70.4%
Latin 155
 
16.5%
Common 122
 
13.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 29
 
4.4%
이 22
 
3.3%
수 20
 
3.0%
스 19
 
2.9%
원 17
 
2.6%
커 15
 
2.3%
피 13
 
2.0%
리 11
 
1.7%
교 10
 
1.5%
지 10
 
1.5%
Other values (223) 494
74.8%
Latin
ValueCountFrequency (%)
o 13
 
8.4%
E 11
 
7.1%
e 10
 
6.5%
F 7
 
4.5%
B 7
 
4.5%
C 7
 
4.5%
r 6
 
3.9%
H 6
 
3.9%
n 6
 
3.9%
a 6
 
3.9%
Other values (32) 76
49.0%
Common
ValueCountFrequency (%)
53
43.4%
( 25
20.5%
) 25
20.5%
9 5
 
4.1%
1 4
 
3.3%
2 2
 
1.6%
5 2
 
1.6%
3 1
 
0.8%
4 1
 
0.8%
' 1
 
0.8%
Other values (3) 3
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 660
70.4%
ASCII 277
29.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
53
19.1%
( 25
 
9.0%
) 25
 
9.0%
o 13
 
4.7%
E 11
 
4.0%
e 10
 
3.6%
F 7
 
2.5%
B 7
 
2.5%
C 7
 
2.5%
r 6
 
2.2%
Other values (45) 113
40.8%
Hangul
ValueCountFrequency (%)
점 29
 
4.4%
이 22
 
3.3%
수 20
 
3.0%
스 19
 
2.9%
원 17
 
2.6%
커 15
 
2.3%
피 13
 
2.0%
리 11
 
1.7%
교 10
 
1.5%
지 10
 
1.5%
Other values (223) 494
74.8%

업종명
Categorical

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1004.0 B
일반음식점
86 
휴게음식점
21 
제과점영업
 
2

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 86
78.9%
휴게음식점 21
 
19.3%
제과점영업 2
 
1.8%

Length

2023-12-13T01:29:34.867095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:29:34.973389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 86
78.9%
휴게음식점 21
 
19.3%
제과점영업 2
 
1.8%

인허가일자
Date

Distinct103
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size1004.0 B
Minimum1991-08-29 00:00:00
Maximum2023-12-27 00:00:00
2023-12-13T01:29:35.091739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:29:35.214511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

옥외영업 신고일자
Date

Distinct92
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Memory size1004.0 B
Minimum2021-01-30 00:00:00
Maximum2023-04-21 00:00:00
2023-12-13T01:29:35.340628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:29:35.479021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지(도로명)
Text

Distinct106
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size1004.0 B
2023-12-13T01:29:35.792207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length49
Mean length36.844037
Min length27

Characters and Unicode

Total characters4016
Distinct characters174
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

Unique103 ?
Unique (%)94.5%

Sample

1st row경기도 수원시 장안구 율전로 92, 1층 106호 (율전동)
2nd row경기도 수원시 장안구 율전로108번길 10-8, 1층 (율전동)
3rd row경기도 수원시 장안구 경수대로 1252, 1,2층 (파장동)
4th row경기도 수원시 장안구 대평로90번길 32, 선일주차타운빌딩 1동 128호 (정자동)
5th row경기도 수원시 장안구 대평로90번길 32, 선일주차타운빌딩동 125호 (정자동)
ValueCountFrequency (%)
경기도 109
 
12.8%
수원시 109
 
12.8%
팔달구 54
 
6.3%
1층 32
 
3.8%
영통구 31
 
3.6%
장안구 18
 
2.1%
인계동 17
 
2.0%
하동 14
 
1.6%
광교 12
 
1.4%
법조로 12
 
1.4%
Other values (262) 445
52.2%
2023-12-13T01:29:36.228715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
744
 
18.5%
1 163
 
4.1%
수 129
 
3.2%
원 129
 
3.2%
동 120
 
3.0%
로 114
 
2.8%
시 113
 
2.8%
구 111
 
2.8%
경 111
 
2.8%
기 109
 
2.7%
Other values (164) 2173
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2181
54.3%
Space Separator 744
 
18.5%
Decimal Number 665
 
16.6%
Close Punctuation 109
 
2.7%
Open Punctuation 109
 
2.7%
Math Symbol 64
 
1.6%
Other Punctuation 60
 
1.5%
Dash Punctuation 33
 
0.8%
Uppercase Letter 33
 
0.8%
Lowercase Letter 16
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 129
 
5.9%
원 129
 
5.9%
동 120
 
5.5%
로 114
 
5.2%
시 113
 
5.2%
구 111
 
5.1%
경 111
 
5.1%
기 109
 
5.0%
도 109
 
5.0%
층 78
 
3.6%
Other values (126) 1058
48.5%
Decimal Number
ValueCountFrequency (%)
1 163
24.5%
2 106
15.9%
3 77
11.6%
0 64
 
9.6%
8 60
 
9.0%
5 55
 
8.3%
4 45
 
6.8%
6 37
 
5.6%
9 36
 
5.4%
7 22
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
B 21
63.6%
K 2
 
6.1%
S 2
 
6.1%
N 2
 
6.1%
I 1
 
3.0%
V 1
 
3.0%
E 1
 
3.0%
L 1
 
3.0%
W 1
 
3.0%
J 1
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
a 5
31.2%
e 3
18.8%
n 2
 
12.5%
p 2
 
12.5%
y 1
 
6.2%
s 1
 
6.2%
t 1
 
6.2%
k 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 59
98.3%
& 1
 
1.7%
Math Symbol
ValueCountFrequency (%)
+ 59
92.2%
~ 5
 
7.8%
Letter Number
ValueCountFrequency (%)
Ⅵ 1
50.0%
Ⅰ 1
50.0%
Space Separator
ValueCountFrequency (%)
744
100.0%
Close Punctuation
ValueCountFrequency (%)
) 109
100.0%
Open Punctuation
ValueCountFrequency (%)
( 109
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2181
54.3%
Common 1784
44.4%
Latin 51
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 129
 
5.9%
원 129
 
5.9%
동 120
 
5.5%
로 114
 
5.2%
시 113
 
5.2%
구 111
 
5.1%
경 111
 
5.1%
기 109
 
5.0%
도 109
 
5.0%
층 78
 
3.6%
Other values (126) 1058
48.5%
Latin
ValueCountFrequency (%)
B 21
41.2%
a 5
 
9.8%
e 3
 
5.9%
K 2
 
3.9%
S 2
 
3.9%
n 2
 
3.9%
N 2
 
3.9%
p 2
 
3.9%
I 1
 
2.0%
V 1
 
2.0%
Other values (10) 10
19.6%
Common
ValueCountFrequency (%)
744
41.7%
1 163
 
9.1%
) 109
 
6.1%
( 109
 
6.1%
2 106
 
5.9%
3 77
 
4.3%
0 64
 
3.6%
8 60
 
3.4%
, 59
 
3.3%
+ 59
 
3.3%
Other values (8) 234
 
13.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2181
54.3%
ASCII 1833
45.6%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
744
40.6%
1 163
 
8.9%
) 109
 
5.9%
( 109
 
5.9%
2 106
 
5.8%
3 77
 
4.2%
0 64
 
3.5%
8 60
 
3.3%
, 59
 
3.2%
+ 59
 
3.2%
Other values (26) 283
 
15.4%
Hangul
ValueCountFrequency (%)
수 129
 
5.9%
원 129
 
5.9%
동 120
 
5.5%
로 114
 
5.2%
시 113
 
5.2%
구 111
 
5.1%
경 111
 
5.1%
기 109
 
5.0%
도 109
 
5.0%
층 78
 
3.6%
Other values (126) 1058
48.5%
Number Forms
ValueCountFrequency (%)
Ⅵ 1
50.0%
Ⅰ 1
50.0%

소재지(지번)
Text

Distinct93
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Memory size1004.0 B
2023-12-13T01:29:36.561621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length36
Mean length25.715596
Min length19

Characters and Unicode

Total characters2803
Distinct characters135
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)79.8%

Sample

1st row경기도 수원시 장안구 율전동 399-17 106호
2nd row경기도 수원시 장안구 율전동 298-17
3rd row경기도 수원시 장안구 파장동 43-3 (1,2층)
4th row경기도 수원시 장안구 정자동 875 선일주차타운빌딩 1동 128호
5th row경기도 수원시 장안구 정자동 875 선일주차타운빌딩동 125호
ValueCountFrequency (%)
경기도 109
17.0%
수원시 109
17.0%
팔달구 54
 
8.4%
영통구 31
 
4.8%
인계동 18
 
2.8%
장안구 18
 
2.8%
하동 14
 
2.2%
광교 12
 
1.9%
1019 11
 
1.7%
더샵 10
 
1.6%
Other values (164) 254
39.7%
2023-12-13T01:29:37.099313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
630
22.5%
1 167
 
6.0%
수 121
 
4.3%
원 117
 
4.2%
동 112
 
4.0%
도 110
 
3.9%
구 110
 
3.9%
경 109
 
3.9%
시 109
 
3.9%
기 109
 
3.9%
Other values (125) 1109
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1553
55.4%
Space Separator 630
22.5%
Decimal Number 504
 
18.0%
Dash Punctuation 75
 
2.7%
Lowercase Letter 16
 
0.6%
Uppercase Letter 12
 
0.4%
Other Punctuation 9
 
0.3%
Letter Number 2
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 121
 
7.8%
원 117
 
7.5%
동 112
 
7.2%
도 110
 
7.1%
구 110
 
7.1%
경 109
 
7.0%
시 109
 
7.0%
기 109
 
7.0%
팔 56
 
3.6%
달 56
 
3.6%
Other values (89) 544
35.0%
Decimal Number
ValueCountFrequency (%)
1 167
33.1%
2 76
15.1%
0 43
 
8.5%
9 36
 
7.1%
4 36
 
7.1%
3 34
 
6.7%
7 30
 
6.0%
5 28
 
5.6%
8 27
 
5.4%
6 27
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
B 2
16.7%
N 2
16.7%
S 1
8.3%
K 1
8.3%
V 1
8.3%
I 1
8.3%
E 1
8.3%
W 1
8.3%
L 1
8.3%
J 1
8.3%
Lowercase Letter
ValueCountFrequency (%)
a 5
31.2%
e 3
18.8%
n 2
 
12.5%
p 2
 
12.5%
y 1
 
6.2%
t 1
 
6.2%
s 1
 
6.2%
k 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 8
88.9%
& 1
 
11.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅵ 1
50.0%
Space Separator
ValueCountFrequency (%)
630
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 75
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1553
55.4%
Common 1220
43.5%
Latin 30
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 121
 
7.8%
원 117
 
7.5%
동 112
 
7.2%
도 110
 
7.1%
구 110
 
7.1%
경 109
 
7.0%
시 109
 
7.0%
기 109
 
7.0%
팔 56
 
3.6%
달 56
 
3.6%
Other values (89) 544
35.0%
Latin
ValueCountFrequency (%)
a 5
16.7%
e 3
 
10.0%
B 2
 
6.7%
N 2
 
6.7%
n 2
 
6.7%
p 2
 
6.7%
Ⅰ 1
 
3.3%
S 1
 
3.3%
K 1
 
3.3%
V 1
 
3.3%
Other values (10) 10
33.3%
Common
ValueCountFrequency (%)
630
51.6%
1 167
 
13.7%
2 76
 
6.2%
- 75
 
6.1%
0 43
 
3.5%
9 36
 
3.0%
4 36
 
3.0%
3 34
 
2.8%
7 30
 
2.5%
5 28
 
2.3%
Other values (6) 65
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1553
55.4%
ASCII 1248
44.5%
Number Forms 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
630
50.5%
1 167
 
13.4%
2 76
 
6.1%
- 75
 
6.0%
0 43
 
3.4%
9 36
 
2.9%
4 36
 
2.9%
3 34
 
2.7%
7 30
 
2.4%
5 28
 
2.2%
Other values (24) 93
 
7.5%
Hangul
ValueCountFrequency (%)
수 121
 
7.8%
원 117
 
7.5%
동 112
 
7.2%
도 110
 
7.1%
구 110
 
7.1%
경 109
 
7.0%
시 109
 
7.0%
기 109
 
7.0%
팔 56
 
3.6%
달 56
 
3.6%
Other values (89) 544
35.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅵ 1
50.0%

위도
Real number (ℝ)

Distinct82
Distinct (%)75.9%
Missing1
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean37.2785
Minimum37.236294
Maximum37.334091
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T01:29:37.265006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.236294
5-th percentile37.247467
Q137.265146
median37.284828
Q337.287358
95-th percentile37.297872
Maximum37.334091
Range0.09779691
Interquartile range (IQR)0.022212137

Descriptive statistics

Standard deviation0.017312126
Coefficient of variation (CV)0.00046439975
Kurtosis0.66915352
Mean37.2785
Median Absolute Deviation (MAD)0.00970432
Skewness-0.079223571
Sum4026.078
Variance0.00029970971
MonotonicityNot monotonic
2023-12-13T01:29:37.746487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.28688888 12
 
11.0%
37.26365378 5
 
4.6%
37.24746683 5
 
4.6%
37.29651473 4
 
3.7%
37.2847592 2
 
1.8%
37.26332008 2
 
1.8%
37.28573148 2
 
1.8%
37.26854104 2
 
1.8%
37.27696942 1
 
0.9%
37.28360859 1
 
0.9%
Other values (72) 72
66.1%
ValueCountFrequency (%)
37.23629435 1
 
0.9%
37.23896838 1
 
0.9%
37.2439291434 1
 
0.9%
37.2469627 1
 
0.9%
37.24746683 5
4.6%
37.24759369 1
 
0.9%
37.2488314599 1
 
0.9%
37.255517196 1
 
0.9%
37.2591165 1
 
0.9%
37.26248715 1
 
0.9%
ValueCountFrequency (%)
37.33409126 1
0.9%
37.32285655 1
0.9%
37.3174579 1
0.9%
37.31182171 1
0.9%
37.29859415 1
0.9%
37.29798637 1
0.9%
37.2976602 1
0.9%
37.29760187 1
0.9%
37.29758261 1
0.9%
37.29667633 1
0.9%

경도
Real number (ℝ)

Distinct82
Distinct (%)75.9%
Missing1
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean127.02298
Minimum126.95644
Maximum127.06243
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T01:29:37.900500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.95644
5-th percentile126.9699
Q1127.0118
median127.01779
Q3127.04478
95-th percentile127.06215
Maximum127.06243
Range0.10599263
Interquartile range (IQR)0.0329719

Descriptive statistics

Standard deviation0.027194324
Coefficient of variation (CV)0.00021408979
Kurtosis-0.48223496
Mean127.02298
Median Absolute Deviation (MAD)0.0175132
Skewness-0.37284388
Sum13718.482
Variance0.00073953126
MonotonicityNot monotonic
2023-12-13T01:29:38.092846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0621485 12
 
11.0%
127.0347849 5
 
4.6%
127.0502759 5
 
4.6%
126.9946399 4
 
3.7%
127.012982 2
 
1.8%
127.0346507 2
 
1.8%
127.0236723 2
 
1.8%
127.0038167 2
 
1.8%
127.0160893 1
 
0.9%
127.0141219 1
 
0.9%
Other values (72) 72
66.1%
ValueCountFrequency (%)
126.9564387735 1
0.9%
126.9637713746 1
0.9%
126.9687611 1
0.9%
126.9690428 1
0.9%
126.9696158 1
0.9%
126.9697417 1
0.9%
126.9701985 1
0.9%
126.972438969 1
0.9%
126.9765863295 1
0.9%
126.9788389 1
0.9%
ValueCountFrequency (%)
127.0624314 1
 
0.9%
127.0621485 12
11.0%
127.0601784 1
 
0.9%
127.0584112 1
 
0.9%
127.0573743 1
 
0.9%
127.0547082 1
 
0.9%
127.05309 1
 
0.9%
127.0528784 1
 
0.9%
127.0502759 5
4.6%
127.0467113 1
 
0.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1004.0 B
Minimum2023-04-25 00:00:00
Maximum2023-04-25 00:00:00
2023-12-13T01:29:38.236694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:29:38.336339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T01:29:33.548313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:29:33.336615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:29:33.636308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:29:33.453756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:29:38.419796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명옥외영업 신고일자소재지(지번)위도경도
업종명1.0000.9020.0000.2450.000
옥외영업 신고일자0.9021.0000.8880.8950.928
소재지(지번)0.0000.8881.0001.0001.000
위도0.2450.8951.0001.0000.907
경도0.0000.9281.0000.9071.000
2023-12-13T01:29:38.549443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도업종명
위도1.000-0.3400.143
경도-0.3401.0000.000
업종명0.1430.0001.000

Missing values

2023-12-13T01:29:33.798412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:29:33.951524image/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.
2023-12-13T01:29:34.056501image/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

업소명업종명인허가일자옥외영업 신고일자소재지(도로명)소재지(지번)위도경도데이터기준일자
0육식일반음식점2020-05-252021-05-21경기도 수원시 장안구 율전로 92, 1층 106호 (율전동)경기도 수원시 장안구 율전동 399-17 106호37.297583126.9687612023-04-25
1장작클라스일반음식점2021-05-042021-06-16경기도 수원시 장안구 율전로108번길 10-8, 1층 (율전동)경기도 수원시 장안구 율전동 298-1737.298594126.9696162023-04-25
2(주)이학순제빵소일반음식점2007-04-182021-07-02경기도 수원시 장안구 경수대로 1252, 1,2층 (파장동)경기도 수원시 장안구 파장동 43-3 (1,2층)37.322857126.9879362023-04-25
3아지트일반음식점2001-08-072021-07-23경기도 수원시 장안구 대평로90번길 32, 선일주차타운빌딩 1동 128호 (정자동)경기도 수원시 장안구 정자동 875 선일주차타운빌딩 1동 128호37.296515126.994642023-04-25
4로스타임일반음식점2001-09-132021-08-04경기도 수원시 장안구 대평로90번길 32, 선일주차타운빌딩동 125호 (정자동)경기도 수원시 장안구 정자동 875 선일주차타운빌딩동 125호37.296515126.994642023-04-25
5한남동그집 수원정자점일반음식점2017-07-062021-08-10경기도 수원시 장안구 대평로90번길 32, 127호 (정자동)경기도 수원시 장안구 정자동 875 127호37.296515126.994642023-04-25
6미유(MiYou)일반음식점2021-03-092022-02-10경기도 수원시 장안구 장안로359번길 19, B동 1층 103호 (정자동)경기도 수원시 장안구 정자동 575-237.311822126.9858352023-04-25
7영화잔치국수일반음식점2007-04-162022-03-02경기도 수원시 장안구 정조로922번길 1 (영화동)경기도 수원시 장안구 영화동 284-537.290278127.0134782023-04-25
8마포화곱창일반음식점2022-03-222022-03-22경기도 수원시 장안구 서부로2105번길 9, 1층 좌측호 (율전동)경기도 수원시 장안구 율전동 433-14537.296676126.9697422023-04-25
9예감쪽갈비 수원성대점일반음식점2015-02-092022-05-10경기도 수원시 장안구 율전로98번길 6-9, 2층 (율전동)경기도 수원시 장안구 율전동 401-437.297602126.9690432023-04-25
업소명업종명인허가일자옥외영업 신고일자소재지(도로명)소재지(지번)위도경도데이터기준일자
99베어풋(BearFoot)일반음식점2021-03-242021-01-30경기도 수원시 영통구 광교호수공원로 300, 포레나 광교 지하2층 B201호 (하동)경기도 수원시 영통구 하동 1017-4 포레나 광교37.284512127.0584112023-04-25
100비에이치씨(BHC) 신영통점일반음식점2002-12-132022-07-21경기도 수원시 영통구 태장로 62, 105호 (망포동, 신영통 동원프라자)경기도 수원시 영통구 망포동 651-1 외1필지 신영통동원프라자 105호37.238968127.053092023-04-25
101아대닭발일반음식점2003-07-312022-08-22경기도 수원시 영통구 중부대로 259 (원천동,외 1필지)경기도 수원시 영통구 원천동 79-8 외 1필지37.27499127.0445592023-04-25
102에핑(Epping)일반음식점2023-01-092023-03-06경기도 수원시 영통구 권선로908번길 50, 2층 202호 (신동)경기도 수원시 영통구 신동 935-637.246963127.0440112023-04-25
103옥상포차일반음식점2022-07-222022-07-22경기도 수원시 영통구 아주로4번길 19, 4층 (원천동)경기도 수원시 영통구 원천동 28-2737.275257127.0453152023-04-25
104작은다락일반음식점2015-10-122022-06-15경기도 수원시 영통구 매탄로140번길 54-2 (매탄동)경기도 수원시 영통구 매탄동 1249-137.262487127.0467112023-04-25
105제이제이펍(JJ PUB)일반음식점2022-11-232022-11-23경기도 수원시 영통구 센트럴타운로 15, 1층 115~116호 (이의동, 아이플렉스)경기도 수원시 영통구 이의동 1335 아이플렉스37.288219127.0573742023-04-25
106카페크레마일반음식점2018-02-222022-05-23경기도 수원시 영통구 태장로82번길 32, 상가동 1층 106호 (망포동, 동수원자이1차)경기도 수원시 영통구 망포동 686 동수원자이1차 상가동 106호37.236294127.0528782023-04-25
107해안선일반음식점2002-05-162022-06-28경기도 수원시 영통구 효원로 393 (매탄동,외1필지 밀래니엄프라자 102호)경기도 수원시 영통구 매탄동 1267-5 외1필지 밀래니엄프라자 102호37.259116127.0446952023-04-25
108휴반일반음식점2022-05-312022-05-31경기도 수원시 영통구 법조로 25, 광교 SK VIEW Lake 지1층 B108호 (하동)경기도 수원시 영통구 하동 1016-1 광교 SK VIEW Lake37.287481127.0601782023-04-25

Duplicate rows

Most frequently occurring

업소명업종명인허가일자옥외영업 신고일자소재지(도로명)소재지(지번)위도경도데이터기준일자# duplicates
0논샬랑일반음식점2023-06-072022-06-07경기도 수원시 팔달구 화서문로46번길 12+ 3층 (신풍동)경기도 수원시 팔달구 신풍동 4937.284759127.0129822023-04-252