Overview

Dataset statistics

Number of variables10
Number of observations650
Missing cells2
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory52.2 KiB
Average record size in memory82.2 B

Variable types

Text3
DateTime2
Categorical3
Numeric2

Dataset

Description대구광역시 달성군 내 담배소매인 지정 현황 데이터로 업소명, 전화번호, 업소주소, 지정일자, 법인구분, 민원구분, 행정동명, 위도, 경도, 데이터기준일자 등의 데이터를 제공하고 있습니다.
Author대구광역시 달성군
URLhttps://www.data.go.kr/data/15127461/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
행정동명 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
법인구분 is highly imbalanced (58.7%)Imbalance
민원구분 is highly imbalanced (50.2%)Imbalance

Reproduction

Analysis started2024-04-06 08:30:04.768752
Analysis finished2024-04-06 08:30:07.056788
Duration2.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct635
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-04-06T17:30:07.413362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length9.0969231
Min length2

Characters and Unicode

Total characters5913
Distinct characters400
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

Unique623 ?
Unique (%)95.8%

Sample

1st row지에스25 화원태왕점
2nd row지에스(GS)25 다사매곡대로점
3rd row지에스25구지유보라점
4th row세븐일레븐 대구현풍오네뜨점
5th row지에스(GS)25 대구화원점
ValueCountFrequency (%)
세븐일레븐 55
 
5.6%
지에스(gs)25 53
 
5.4%
씨유 43
 
4.4%
이마트24 32
 
3.3%
주식회사 10
 
1.0%
주)코리아세븐 9
 
0.9%
나이스마트 9
 
0.9%
gs25 8
 
0.8%
구내매점 6
 
0.6%
대백마트 6
 
0.6%
Other values (684) 745
76.3%
2024-04-06T17:30:08.146136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
327
 
5.5%
점 323
 
5.5%
트 166
 
2.8%
마 164
 
2.8%
대 154
 
2.6%
구 148
 
2.5%
) 131
 
2.2%
( 130
 
2.2%
븐 127
 
2.1%
스 121
 
2.0%
Other values (390) 4122
69.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4840
81.9%
Space Separator 327
 
5.5%
Decimal Number 248
 
4.2%
Uppercase Letter 203
 
3.4%
Close Punctuation 131
 
2.2%
Open Punctuation 130
 
2.2%
Lowercase Letter 30
 
0.5%
Other Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 323
 
6.7%
트 166
 
3.4%
마 164
 
3.4%
대 154
 
3.2%
구 148
 
3.1%
븐 127
 
2.6%
스 121
 
2.5%
지 115
 
2.4%
유 98
 
2.0%
이 93
 
1.9%
Other values (344) 3331
68.8%
Uppercase Letter
ValueCountFrequency (%)
S 76
37.4%
G 73
36.0%
C 12
 
5.9%
U 8
 
3.9%
R 5
 
2.5%
E 4
 
2.0%
O 4
 
2.0%
M 3
 
1.5%
K 3
 
1.5%
D 3
 
1.5%
Other values (9) 12
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
e 7
23.3%
a 4
13.3%
l 3
10.0%
h 2
 
6.7%
s 2
 
6.7%
i 2
 
6.7%
k 2
 
6.7%
w 2
 
6.7%
o 1
 
3.3%
m 1
 
3.3%
Other values (4) 4
13.3%
Decimal Number
ValueCountFrequency (%)
2 115
46.4%
5 78
31.5%
4 37
 
14.9%
1 7
 
2.8%
3 5
 
2.0%
7 3
 
1.2%
6 3
 
1.2%
Other Punctuation
ValueCountFrequency (%)
& 2
50.0%
/ 1
25.0%
. 1
25.0%
Space Separator
ValueCountFrequency (%)
327
100.0%
Close Punctuation
ValueCountFrequency (%)
) 131
100.0%
Open Punctuation
ValueCountFrequency (%)
( 130
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4840
81.9%
Common 840
 
14.2%
Latin 233
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 323
 
6.7%
트 166
 
3.4%
마 164
 
3.4%
대 154
 
3.2%
구 148
 
3.1%
븐 127
 
2.6%
스 121
 
2.5%
지 115
 
2.4%
유 98
 
2.0%
이 93
 
1.9%
Other values (344) 3331
68.8%
Latin
ValueCountFrequency (%)
S 76
32.6%
G 73
31.3%
C 12
 
5.2%
U 8
 
3.4%
e 7
 
3.0%
R 5
 
2.1%
E 4
 
1.7%
O 4
 
1.7%
a 4
 
1.7%
M 3
 
1.3%
Other values (23) 37
15.9%
Common
ValueCountFrequency (%)
327
38.9%
) 131
15.6%
( 130
 
15.5%
2 115
 
13.7%
5 78
 
9.3%
4 37
 
4.4%
1 7
 
0.8%
3 5
 
0.6%
7 3
 
0.4%
6 3
 
0.4%
Other values (3) 4
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4840
81.9%
ASCII 1073
 
18.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
327
30.5%
) 131
12.2%
( 130
 
12.1%
2 115
 
10.7%
5 78
 
7.3%
S 76
 
7.1%
G 73
 
6.8%
4 37
 
3.4%
C 12
 
1.1%
U 8
 
0.7%
Other values (36) 86
 
8.0%
Hangul
ValueCountFrequency (%)
점 323
 
6.7%
트 166
 
3.4%
마 164
 
3.4%
대 154
 
3.2%
구 148
 
3.1%
븐 127
 
2.6%
스 121
 
2.5%
지 115
 
2.4%
유 98
 
2.0%
이 93
 
1.9%
Other values (344) 3331
68.8%

전화번호
Text

Distinct266
Distinct (%)41.0%
Missing2
Missing (%)0.3%
Memory size5.2 KiB
2024-04-06T17:30:08.967047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.975309
Min length8

Characters and Unicode

Total characters7760
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

Unique229 ?
Unique (%)35.3%

Sample

1st row053-000-0000
2nd row053-000-0001
3rd row053-000-0002
4th row053-000-0003
5th row053-000-0004
ValueCountFrequency (%)
053-000-0065 255
39.2%
053-000-0000 45
 
6.9%
053-000-0030 38
 
5.8%
053-000-0029 8
 
1.2%
053-000-0023 7
 
1.1%
053-000-0027 3
 
0.5%
053-000-0013 3
 
0.5%
053-000-0024 2
 
0.3%
053-000-0021 2
 
0.3%
053-000-0020 2
 
0.3%
Other values (257) 285
43.8%
2024-04-06T17:30:10.141403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3152
40.6%
- 1287
16.6%
5 1084
 
14.0%
3 825
 
10.6%
6 507
 
6.5%
1 227
 
2.9%
2 155
 
2.0%
7 140
 
1.8%
4 138
 
1.8%
8 135
 
1.7%
Other values (2) 110
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6471
83.4%
Dash Punctuation 1287
 
16.6%
Space Separator 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3152
48.7%
5 1084
 
16.8%
3 825
 
12.7%
6 507
 
7.8%
1 227
 
3.5%
2 155
 
2.4%
7 140
 
2.2%
4 138
 
2.1%
8 135
 
2.1%
9 108
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 1287
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7760
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3152
40.6%
- 1287
16.6%
5 1084
 
14.0%
3 825
 
10.6%
6 507
 
6.5%
1 227
 
2.9%
2 155
 
2.0%
7 140
 
1.8%
4 138
 
1.8%
8 135
 
1.7%
Other values (2) 110
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3152
40.6%
- 1287
16.6%
5 1084
 
14.0%
3 825
 
10.6%
6 507
 
6.5%
1 227
 
2.9%
2 155
 
2.0%
7 140
 
1.8%
4 138
 
1.8%
8 135
 
1.7%
Other values (2) 110
 
1.4%

업소주소
Text

Distinct648
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-04-06T17:30:10.705457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length59
Mean length28.96
Min length19

Characters and Unicode

Total characters18824
Distinct characters268
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

Unique646 ?
Unique (%)99.4%

Sample

1st row대구광역시 달성군 화원읍 성화로4길 12
2nd row대구광역시 달성군 다사읍 왕선로 52-1층
3rd row대구광역시 달성군 구지면 국가산단북로34길 10-131동 120.121.122.123호 (대구 국가산단 반도유보라 아이비파크3)
4th row대구광역시 달성군 현풍읍 테크노북로4길 11-상가동 105.106호 (대구테크노폴리스남해오네뜨1차)
5th row대구광역시 달성군 화원읍 비슬로523길 1
ValueCountFrequency (%)
대구광역시 650
 
17.9%
달성군 650
 
17.9%
다사읍 165
 
4.6%
화원읍 95
 
2.6%
논공읍 88
 
2.4%
구지면 67
 
1.8%
현풍읍 51
 
1.4%
비슬로 39
 
1.1%
현풍면 38
 
1.0%
유가읍 36
 
1.0%
Other values (1019) 1743
48.1%
2024-04-06T17:30:11.681835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3073
 
16.3%
1 954
 
5.1%
대 786
 
4.2%
구 780
 
4.1%
성 698
 
3.7%
역 696
 
3.7%
달 680
 
3.6%
시 665
 
3.5%
광 655
 
3.5%
군 651
 
3.5%
Other values (258) 9186
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11787
62.6%
Decimal Number 3211
 
17.1%
Space Separator 3073
 
16.3%
Dash Punctuation 448
 
2.4%
Close Punctuation 110
 
0.6%
Open Punctuation 110
 
0.6%
Other Punctuation 53
 
0.3%
Uppercase Letter 24
 
0.1%
Math Symbol 7
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 786
 
6.7%
구 780
 
6.6%
성 698
 
5.9%
역 696
 
5.9%
달 680
 
5.8%
시 665
 
5.6%
광 655
 
5.6%
군 651
 
5.5%
로 546
 
4.6%
읍 462
 
3.9%
Other values (228) 5168
43.8%
Uppercase Letter
ValueCountFrequency (%)
B 7
29.2%
M 4
16.7%
A 4
16.7%
O 2
 
8.3%
Z 1
 
4.2%
K 1
 
4.2%
U 1
 
4.2%
L 1
 
4.2%
H 1
 
4.2%
P 1
 
4.2%
Decimal Number
ValueCountFrequency (%)
1 954
29.7%
0 407
12.7%
2 396
12.3%
3 318
 
9.9%
4 251
 
7.8%
5 233
 
7.3%
6 189
 
5.9%
7 171
 
5.3%
8 154
 
4.8%
9 138
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 52
98.1%
/ 1
 
1.9%
Math Symbol
ValueCountFrequency (%)
~ 6
85.7%
+ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
3073
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 448
100.0%
Close Punctuation
ValueCountFrequency (%)
) 110
100.0%
Open Punctuation
ValueCountFrequency (%)
( 110
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11787
62.6%
Common 7012
37.3%
Latin 25
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 786
 
6.7%
구 780
 
6.6%
성 698
 
5.9%
역 696
 
5.9%
달 680
 
5.8%
시 665
 
5.6%
광 655
 
5.6%
군 651
 
5.5%
로 546
 
4.6%
읍 462
 
3.9%
Other values (228) 5168
43.8%
Common
ValueCountFrequency (%)
3073
43.8%
1 954
 
13.6%
- 448
 
6.4%
0 407
 
5.8%
2 396
 
5.6%
3 318
 
4.5%
4 251
 
3.6%
5 233
 
3.3%
6 189
 
2.7%
7 171
 
2.4%
Other values (8) 572
 
8.2%
Latin
ValueCountFrequency (%)
B 7
28.0%
M 4
16.0%
A 4
16.0%
O 2
 
8.0%
Z 1
 
4.0%
K 1
 
4.0%
U 1
 
4.0%
L 1
 
4.0%
H 1
 
4.0%
e 1
 
4.0%
Other values (2) 2
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11787
62.6%
ASCII 7037
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3073
43.7%
1 954
 
13.6%
- 448
 
6.4%
0 407
 
5.8%
2 396
 
5.6%
3 318
 
4.5%
4 251
 
3.6%
5 233
 
3.3%
6 189
 
2.7%
7 171
 
2.4%
Other values (20) 597
 
8.5%
Hangul
ValueCountFrequency (%)
대 786
 
6.7%
구 780
 
6.6%
성 698
 
5.9%
역 696
 
5.9%
달 680
 
5.8%
시 665
 
5.6%
광 655
 
5.6%
군 651
 
5.5%
로 546
 
4.6%
읍 462
 
3.9%
Other values (228) 5168
43.8%

지정일자
Date

Distinct556
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
Minimum1989-03-02 00:00:00
Maximum2024-03-21 00:00:00
2024-04-06T17:30:12.079400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:30:12.401259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

법인구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
개인
596 
법인
 
54

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 596
91.7%
법인 54
 
8.3%

Length

2024-04-06T17:30:12.742551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:30:13.046076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 596
91.7%
법인 54
 
8.3%

민원구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
제7조의3제2항에따른경우
579 
제7조의3제3항에따른경우
71 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제7조의3제3항에따른경우
2nd row제7조의3제2항에따른경우
3rd row제7조의3제2항에따른경우
4th row제7조의3제2항에따른경우
5th row제7조의3제2항에따른경우

Common Values

ValueCountFrequency (%)
제7조의3제2항에따른경우 579
89.1%
제7조의3제3항에따른경우 71
 
10.9%

Length

2024-04-06T17:30:13.388814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:30:13.621048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제7조의3제2항에따른경우 579
89.1%
제7조의3제3항에따른경우 71
 
10.9%

행정동명
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
다사읍
165 
화원읍
95 
논공읍
88 
구지면
67 
현풍읍
51 
Other values (7)
184 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row화원읍
2nd row다사읍
3rd row구지면
4th row현풍읍
5th row화원읍

Common Values

ValueCountFrequency (%)
다사읍 165
25.4%
화원읍 95
14.6%
논공읍 88
13.5%
구지면 67
10.3%
현풍읍 51
 
7.8%
현풍면 38
 
5.8%
유가읍 36
 
5.5%
가창면 32
 
4.9%
옥포읍 27
 
4.2%
하빈면 19
 
2.9%
Other values (2) 32
 
4.9%

Length

2024-04-06T17:30:13.846421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
다사읍 165
25.4%
화원읍 95
14.6%
논공읍 88
13.5%
구지면 67
10.3%
현풍읍 51
 
7.8%
현풍면 38
 
5.8%
유가읍 36
 
5.5%
가창면 32
 
4.9%
옥포읍 27
 
4.2%
하빈면 19
 
2.9%
Other values (2) 32
 
4.9%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct576
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.771514
Minimum35.632904
Maximum35.912183
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2024-04-06T17:30:14.158965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.632904
5-th percentile35.656452
Q135.695672
median35.779702
Q335.857357
95-th percentile35.877275
Maximum35.912183
Range0.27927871
Interquartile range (IQR)0.16168462

Descriptive statistics

Standard deviation0.076851287
Coefficient of variation (CV)0.0021483935
Kurtosis-1.3460786
Mean35.771514
Median Absolute Deviation (MAD)0.08165741
Skewness-0.004412819
Sum23251.484
Variance0.0059061204
MonotonicityNot monotonic
2024-04-06T17:30:14.571072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.69293266 10
 
1.5%
35.76980305 7
 
1.1%
35.87356971 5
 
0.8%
35.8607096 4
 
0.6%
35.87073836 4
 
0.6%
35.69385787 3
 
0.5%
35.68924054 3
 
0.5%
35.79875803 3
 
0.5%
35.65721801 3
 
0.5%
35.87469113 3
 
0.5%
Other values (566) 605
93.1%
ValueCountFrequency (%)
35.63290399 1
0.2%
35.63346263 1
0.2%
35.63810901 1
0.2%
35.63853943 1
0.2%
35.64012611 1
0.2%
35.64042449 1
0.2%
35.64081802 1
0.2%
35.64686542 1
0.2%
35.64838118 1
0.2%
35.64882712 1
0.2%
ValueCountFrequency (%)
35.9121827 1
0.2%
35.90272736 1
0.2%
35.90217855 1
0.2%
35.90073774 1
0.2%
35.90055992 1
0.2%
35.90032762 1
0.2%
35.89958749 2
0.3%
35.88888538 1
0.2%
35.88729795 1
0.2%
35.88515703 1
0.2%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct576
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.46718
Minimum128.39353
Maximum128.66958
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2024-04-06T17:30:14.893566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.39353
5-th percentile128.41431
Q1128.44399
median128.45861
Q3128.48704
95-th percentile128.51951
Maximum128.66958
Range0.276052
Interquartile range (IQR)0.043052825

Descriptive statistics

Standard deviation0.045390627
Coefficient of variation (CV)0.0003533247
Kurtosis6.08676
Mean128.46718
Median Absolute Deviation (MAD)0.01764
Skewness2.11249
Sum83503.666
Variance0.002060309
MonotonicityNot monotonic
2024-04-06T17:30:15.160153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.4574986 10
 
1.5%
128.4566347 7
 
1.1%
128.4762235 5
 
0.8%
128.450104 4
 
0.6%
128.489927 4
 
0.6%
128.4583326 3
 
0.5%
128.4542181 3
 
0.5%
128.4986442 3
 
0.5%
128.4187607 3
 
0.5%
128.4974709 3
 
0.5%
Other values (566) 605
93.1%
ValueCountFrequency (%)
128.3935262 1
0.2%
128.3958648 1
0.2%
128.3984709 1
0.2%
128.3987471 1
0.2%
128.3987886 1
0.2%
128.3991249 1
0.2%
128.401346 1
0.2%
128.4013735 1
0.2%
128.4017669 1
0.2%
128.4017878 1
0.2%
ValueCountFrequency (%)
128.6695782 1
0.2%
128.6629487 1
0.2%
128.6596725 1
0.2%
128.6570061 1
0.2%
128.651039 1
0.2%
128.6482476 1
0.2%
128.6475399 1
0.2%
128.6442144 1
0.2%
128.6438631 1
0.2%
128.6416238 1
0.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
Minimum2024-04-02 00:00:00
Maximum2024-04-02 00:00:00
2024-04-06T17:30:15.374100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:30:15.923126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-06T17:30:06.203962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:30:05.831022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:30:06.391916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:30:06.016891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:30:16.073729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법인구분민원구분행정동명위도경도
법인구분1.0000.3420.0520.0000.000
민원구분0.3421.0000.1300.1870.118
행정동명0.0520.1301.0000.9010.810
위도0.0000.1870.9011.0000.806
경도0.0000.1180.8100.8061.000
2024-04-06T17:30:16.270351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동명법인구분민원구분
행정동명1.0000.0400.100
법인구분0.0401.0000.222
민원구분0.1000.2221.000
2024-04-06T17:30:16.446198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도법인구분민원구분행정동명
위도1.0000.5450.0000.1420.675
경도0.5451.0000.0000.0880.513
법인구분0.0000.0001.0000.2220.040
민원구분0.1420.0880.2221.0000.100
행정동명0.6750.5130.0400.1001.000

Missing values

2024-04-06T17:30:06.657579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:30:06.945182image/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

업소명전화번호업소주소지정일자법인구분민원구분행정동명위도경도데이터기준일자
0지에스25 화원태왕점053-000-0000대구광역시 달성군 화원읍 성화로4길 122024-03-21개인제7조의3제3항에따른경우화원읍35.801817128.4913832024-04-02
1지에스(GS)25 다사매곡대로점053-000-0001대구광역시 달성군 다사읍 왕선로 52-1층2024-03-21개인제7조의3제2항에따른경우다사읍35.863505128.4639172024-04-02
2지에스25구지유보라점053-000-0002대구광역시 달성군 구지면 국가산단북로34길 10-131동 120.121.122.123호 (대구 국가산단 반도유보라 아이비파크3)2024-03-20개인제7조의3제2항에따른경우구지면35.662265128.408572024-04-02
3세븐일레븐 대구현풍오네뜨점053-000-0003대구광역시 달성군 현풍읍 테크노북로4길 11-상가동 105.106호 (대구테크노폴리스남해오네뜨1차)2024-03-12개인제7조의3제2항에따른경우현풍읍35.696302128.4555512024-04-02
4지에스(GS)25 대구화원점053-000-0004대구광역시 달성군 화원읍 비슬로523길 12024-03-08개인제7조의3제2항에따른경우화원읍35.805285128.5025582024-04-02
5씨유테크노에이스점053-000-0005대구광역시 달성군 유가읍 테크노상업로 108-1동 1층 111호2024-03-07개인제7조의3제2항에따른경우유가읍35.692933128.4574992024-04-02
6대백마트(세천점)053-000-0006대구광역시 달성군 다사읍 세천로10길 102024-02-29개인제7조의3제2항에따른경우다사읍35.872911128.474162024-04-02
7(주)코리아세븐 대구대실역본점053-000-0007대구광역시 달성군 다사읍 대실역북로 82024-02-16법인제7조의3제2항에따른경우다사읍35.857636128.4665062024-04-02
8이마트24테크노1단지점053-000-0008대구광역시 달성군 현풍읍 테크노북로2길 10-102호 (대구테크노폴리스엘에이치천년나무1단지)2024-02-16개인제7조의3제2항에따른경우현풍읍35.691643128.4505192024-04-02
9(주)아워홈 케이비와이퍼시스템대구점053-000-0009대구광역시 달성군 구지면 국가산단대로33길 10-3층2024-02-02법인제7조의3제3항에따른경우구지면35.652677128.4025362024-04-02
업소명전화번호업소주소지정일자법인구분민원구분행정동명위도경도데이터기준일자
640토큰박스053-000-0000대구광역시 달성군 다사읍 매곡리 693-5호1991-04-03개인제7조의3제2항에따른경우다사읍35.864244128.459272024-04-02
641세천반점053-000-0000대구광역시 달성군 다사읍 세천본3길 6-11990-06-14개인제7조의3제2항에따른경우다사읍35.876429128.4756652024-04-02
642상원동구판장053-767-5773대구광역시 달성군 가창면 상원리 439-2호1990-03-12개인제7조의3제2항에따른경우가창면35.778404128.6629492024-04-02
643대구슈퍼053-000-0000대구광역시 달성군 다사읍 서재본5길 61989-03-02개인제7조의3제2항에따른경우다사읍35.873124128.4861882024-04-02
644윤정슈퍼053-000-0000대구광역시 달성군 옥포면 간경3길 211989-03-02개인제7조의3제2항에따른경우옥포면35.794215128.4697192024-04-02
645반송구판장053-000-0000대구광역시 달성군 옥포면 용연사길 39-01989-03-02개인제7조의3제2항에따른경우옥포면35.755442128.4981522024-04-02
646한일상회053-000-0000대구광역시 달성군 현풍읍 상리 939-6호1989-03-02개인제7조의3제2항에따른경우현풍읍35.696924128.448352024-04-02
647이귀옥053-000-0000대구광역시 달성군 하빈면 동곡리 65호1989-03-02개인제7조의3제2항에따른경우하빈면35.877318128.4211492024-04-02
648달성상회053-000-0000대구광역시 달성군 하빈면 하산리 1073호1989-03-02개인제7조의3제2항에따른경우하빈면35.879405128.3987892024-04-02
649우리슈퍼053-582-0859대구광역시 달성군 옥포읍 간경리 842-1호1989-03-02개인제7조의3제2항에따른경우옥포읍35.791178128.4696572024-04-02