Overview

Dataset statistics

Number of variables8
Number of observations1531
Missing cells6
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory97.3 KiB
Average record size in memory65.1 B

Variable types

Numeric1
Text3
Categorical3
DateTime1

Dataset

Description경상북도 구미시에 지정된 담배소매인 현황으로 업소명, 주소, 전화번호등의 항목을 제공하는 csv 데이터 파일 입니다.
Author경상북도 구미시
URLhttps://www.data.go.kr/data/3069579/fileData.do

Alerts

관리기관전화번호 has constant value ""Constant
관리기관명 has constant value ""Constant
연번 is highly overall correlated with 민원구분High correlation
민원구분 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:09:37.598230
Analysis finished2023-12-12 07:09:38.915025
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1531
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean766
Minimum1
Maximum1531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2023-12-12T16:09:38.995034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile77.5
Q1383.5
median766
Q31148.5
95-th percentile1454.5
Maximum1531
Range1530
Interquartile range (IQR)765

Descriptive statistics

Standard deviation442.10595
Coefficient of variation (CV)0.57716181
Kurtosis-1.2
Mean766
Median Absolute Deviation (MAD)383
Skewness0
Sum1172746
Variance195457.67
MonotonicityStrictly increasing
2023-12-12T16:09:39.155200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1019 1
 
0.1%
1028 1
 
0.1%
1027 1
 
0.1%
1026 1
 
0.1%
1025 1
 
0.1%
1024 1
 
0.1%
1023 1
 
0.1%
1022 1
 
0.1%
1021 1
 
0.1%
Other values (1521) 1521
99.3%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1531 1
0.1%
1530 1
0.1%
1529 1
0.1%
1528 1
0.1%
1527 1
0.1%
1526 1
0.1%
1525 1
0.1%
1524 1
0.1%
1523 1
0.1%
1522 1
0.1%

업소명
Text

Distinct1484
Distinct (%)97.0%
Missing1
Missing (%)0.1%
Memory size12.1 KiB
2023-12-12T16:09:39.454485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length22
Mean length8.4189542
Min length2

Characters and Unicode

Total characters12881
Distinct characters556
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1449 ?
Unique (%)94.7%

Sample

1st row빅마트 도량점
2nd row세븐일레븐 구미옥계부영점
3rd row씨유 구미형곡대경점
4th row씨유 구미5공단점
5th row(주)코리아세븐 구미구평부영점
ValueCountFrequency (%)
세븐일레븐 129
 
5.8%
씨유 115
 
5.2%
지에스(gs)25 47
 
2.1%
지에스25 34
 
1.5%
이마트24 30
 
1.4%
gs25 28
 
1.3%
주)코리아세븐 17
 
0.8%
주식회사 14
 
0.6%
전자담배 10
 
0.5%
미니스톱 10
 
0.5%
Other values (1522) 1779
80.4%
2023-12-12T16:09:39.805879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 709
 
5.5%
683
 
5.3%
구 548
 
4.3%
미 509
 
4.0%
마 322
 
2.5%
트 315
 
2.4%
븐 293
 
2.3%
스 258
 
2.0%
2 224
 
1.7%
) 198
 
1.5%
Other values (546) 8822
68.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10821
84.0%
Space Separator 683
 
5.3%
Decimal Number 509
 
4.0%
Uppercase Letter 418
 
3.2%
Close Punctuation 198
 
1.5%
Open Punctuation 198
 
1.5%
Lowercase Letter 37
 
0.3%
Other Punctuation 10
 
0.1%
Dash Punctuation 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 709
 
6.6%
구 548
 
5.1%
미 509
 
4.7%
마 322
 
3.0%
트 315
 
2.9%
븐 293
 
2.7%
스 258
 
2.4%
유 196
 
1.8%
일 185
 
1.7%
지 182
 
1.7%
Other values (489) 7304
67.5%
Uppercase Letter
ValueCountFrequency (%)
G 112
26.8%
S 108
25.8%
C 48
11.5%
D 25
 
6.0%
U 16
 
3.8%
L 12
 
2.9%
K 10
 
2.4%
M 10
 
2.4%
R 9
 
2.2%
A 9
 
2.2%
Other values (15) 59
14.1%
Lowercase Letter
ValueCountFrequency (%)
e 9
24.3%
i 4
10.8%
n 3
 
8.1%
o 3
 
8.1%
m 3
 
8.1%
l 2
 
5.4%
a 2
 
5.4%
d 2
 
5.4%
r 2
 
5.4%
t 2
 
5.4%
Other values (5) 5
13.5%
Decimal Number
ValueCountFrequency (%)
2 224
44.0%
5 158
31.0%
4 68
 
13.4%
0 19
 
3.7%
1 13
 
2.6%
7 8
 
1.6%
3 8
 
1.6%
6 5
 
1.0%
9 3
 
0.6%
8 3
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 4
40.0%
& 4
40.0%
# 2
20.0%
Space Separator
ValueCountFrequency (%)
683
100.0%
Close Punctuation
ValueCountFrequency (%)
) 198
100.0%
Open Punctuation
ValueCountFrequency (%)
( 198
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10820
84.0%
Common 1605
 
12.5%
Latin 455
 
3.5%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 709
 
6.6%
구 548
 
5.1%
미 509
 
4.7%
마 322
 
3.0%
트 315
 
2.9%
븐 293
 
2.7%
스 258
 
2.4%
유 196
 
1.8%
일 185
 
1.7%
지 182
 
1.7%
Other values (488) 7303
67.5%
Latin
ValueCountFrequency (%)
G 112
24.6%
S 108
23.7%
C 48
10.5%
D 25
 
5.5%
U 16
 
3.5%
L 12
 
2.6%
K 10
 
2.2%
M 10
 
2.2%
e 9
 
2.0%
R 9
 
2.0%
Other values (30) 96
21.1%
Common
ValueCountFrequency (%)
683
42.6%
2 224
 
14.0%
) 198
 
12.3%
( 198
 
12.3%
5 158
 
9.8%
4 68
 
4.2%
0 19
 
1.2%
1 13
 
0.8%
7 8
 
0.5%
3 8
 
0.5%
Other values (7) 28
 
1.7%
Han
ValueCountFrequency (%)
美 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10820
84.0%
ASCII 2060
 
16.0%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 709
 
6.6%
구 548
 
5.1%
미 509
 
4.7%
마 322
 
3.0%
트 315
 
2.9%
븐 293
 
2.7%
스 258
 
2.4%
유 196
 
1.8%
일 185
 
1.7%
지 182
 
1.7%
Other values (488) 7303
67.5%
ASCII
ValueCountFrequency (%)
683
33.2%
2 224
 
10.9%
) 198
 
9.6%
( 198
 
9.6%
5 158
 
7.7%
G 112
 
5.4%
S 108
 
5.2%
4 68
 
3.3%
C 48
 
2.3%
D 25
 
1.2%
Other values (47) 238
 
11.6%
CJK
ValueCountFrequency (%)
美 1
100.0%

업소도로명주소
Text

Distinct1495
Distinct (%)97.7%
Missing1
Missing (%)0.1%
Memory size12.1 KiB
2023-12-12T16:09:40.091256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length53
Mean length27.5
Min length1

Characters and Unicode

Total characters42075
Distinct characters367
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

Unique1488 ?
Unique (%)97.3%

Sample

1st row경상북도 구미시 문장로14길 18 (도량동)
2nd row경상북도 구미시 산호대로27길 46 (옥계동)
3rd row경상북도 구미시 형곡로39길 3. 대경파크빌 (형곡동. 대경파크빌)
4th row경상북도 구미시 산동읍 동백로 12
5th row경상북도 구미시 인동가산로 250-6. 3단지부영아파트 318동 1층 101.102호 (구평동)
ValueCountFrequency (%)
경상북도 1499
 
17.1%
구미시 1499
 
17.1%
1층 282
 
3.2%
원평동 128
 
1.5%
고아읍 92
 
1.1%
공단동 91
 
1.0%
진평동 91
 
1.0%
옥계동 79
 
0.9%
인의동 79
 
0.9%
봉곡동 75
 
0.9%
Other values (1740) 4826
55.2%
2023-12-12T16:09:40.520257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7306
 
17.4%
1 2041
 
4.9%
동 1830
 
4.3%
상 1818
 
4.3%
구 1701
 
4.0%
미 1651
 
3.9%
도 1609
 
3.8%
시 1575
 
3.7%
북 1533
 
3.6%
경 1507
 
3.6%
Other values (357) 19504
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24117
57.3%
Space Separator 7306
 
17.4%
Decimal Number 6711
 
16.0%
Open Punctuation 1246
 
3.0%
Close Punctuation 1246
 
3.0%
Other Punctuation 865
 
2.1%
Dash Punctuation 423
 
1.0%
Uppercase Letter 114
 
0.3%
Lowercase Letter 39
 
0.1%
Math Symbol 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1830
 
7.6%
상 1818
 
7.5%
구 1701
 
7.1%
미 1651
 
6.8%
도 1609
 
6.7%
시 1575
 
6.5%
북 1533
 
6.4%
경 1507
 
6.2%
로 1252
 
5.2%
길 751
 
3.1%
Other values (314) 8890
36.9%
Uppercase Letter
ValueCountFrequency (%)
B 26
22.8%
L 14
12.3%
G 14
12.3%
A 14
12.3%
D 9
 
7.9%
S 7
 
6.1%
P 4
 
3.5%
K 4
 
3.5%
C 4
 
3.5%
I 3
 
2.6%
Other values (8) 15
13.2%
Decimal Number
ValueCountFrequency (%)
1 2041
30.4%
2 928
13.8%
3 738
 
11.0%
0 630
 
9.4%
4 525
 
7.8%
5 426
 
6.3%
6 416
 
6.2%
9 338
 
5.0%
7 338
 
5.0%
8 331
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
s 6
15.4%
e 6
15.4%
y 6
15.4%
a 5
12.8%
i 5
12.8%
l 5
12.8%
p 5
12.8%
c 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
. 859
99.3%
" 6
 
0.7%
Space Separator
ValueCountFrequency (%)
7306
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1246
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1246
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 423
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24117
57.3%
Common 17805
42.3%
Latin 153
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1830
 
7.6%
상 1818
 
7.5%
구 1701
 
7.1%
미 1651
 
6.8%
도 1609
 
6.7%
시 1575
 
6.5%
북 1533
 
6.4%
경 1507
 
6.2%
로 1252
 
5.2%
길 751
 
3.1%
Other values (314) 8890
36.9%
Latin
ValueCountFrequency (%)
B 26
17.0%
L 14
 
9.2%
G 14
 
9.2%
A 14
 
9.2%
D 9
 
5.9%
S 7
 
4.6%
s 6
 
3.9%
e 6
 
3.9%
y 6
 
3.9%
a 5
 
3.3%
Other values (16) 46
30.1%
Common
ValueCountFrequency (%)
7306
41.0%
1 2041
 
11.5%
( 1246
 
7.0%
) 1246
 
7.0%
2 928
 
5.2%
. 859
 
4.8%
3 738
 
4.1%
0 630
 
3.5%
4 525
 
2.9%
5 426
 
2.4%
Other values (7) 1860
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24117
57.3%
ASCII 17958
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7306
40.7%
1 2041
 
11.4%
( 1246
 
6.9%
) 1246
 
6.9%
2 928
 
5.2%
. 859
 
4.8%
3 738
 
4.1%
0 630
 
3.5%
4 525
 
2.9%
5 426
 
2.4%
Other values (33) 2013
 
11.2%
Hangul
ValueCountFrequency (%)
동 1830
 
7.6%
상 1818
 
7.5%
구 1701
 
7.1%
미 1651
 
6.8%
도 1609
 
6.7%
시 1575
 
6.5%
북 1533
 
6.4%
경 1507
 
6.2%
로 1252
 
5.2%
길 751
 
3.1%
Other values (314) 8890
36.9%

업소지번주소
Text

Distinct1522
Distinct (%)99.5%
Missing1
Missing (%)0.1%
Memory size12.1 KiB
2023-12-12T16:09:40.768389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length54
Mean length24.214379
Min length1

Characters and Unicode

Total characters37048
Distinct characters353
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

Unique1514 ?
Unique (%)99.0%

Sample

1st row경상북도 구미시 도량동 744-21
2nd row경상북도 구미시 옥계동 621-1
3rd row경상북도 구미시 형곡동 186-4 대경파크빌
4th row경상북도 구미시 산동읍 적림리 64-6
5th row경상북도 구미시 구평동 453 3단지부영아파트 318동 101호.102호
ValueCountFrequency (%)
경상북도 1527
 
18.2%
구미시 1527
 
18.2%
1호 178
 
2.1%
1층 162
 
1.9%
원평동 116
 
1.4%
2호 101
 
1.2%
산동읍 100
 
1.2%
진평동 94
 
1.1%
고아읍 93
 
1.1%
공단동 84
 
1.0%
Other values (1715) 4390
52.4%
2023-12-12T16:09:41.188797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6873
18.6%
1 1761
 
4.8%
상 1761
 
4.8%
구 1659
 
4.5%
도 1616
 
4.4%
미 1589
 
4.3%
시 1559
 
4.2%
경 1532
 
4.1%
북 1528
 
4.1%
동 1486
 
4.0%
Other values (343) 15684
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22339
60.3%
Decimal Number 7205
 
19.4%
Space Separator 6873
 
18.6%
Dash Punctuation 286
 
0.8%
Uppercase Letter 126
 
0.3%
Other Punctuation 74
 
0.2%
Close Punctuation 51
 
0.1%
Open Punctuation 51
 
0.1%
Lowercase Letter 35
 
0.1%
Math Symbol 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 1761
 
7.9%
구 1659
 
7.4%
도 1616
 
7.2%
미 1589
 
7.1%
시 1559
 
7.0%
경 1532
 
6.9%
북 1528
 
6.8%
동 1486
 
6.7%
지 1226
 
5.5%
호 1180
 
5.3%
Other values (301) 7203
32.2%
Uppercase Letter
ValueCountFrequency (%)
B 33
26.2%
L 25
19.8%
A 11
 
8.7%
G 11
 
8.7%
D 10
 
7.9%
S 6
 
4.8%
C 5
 
4.0%
K 4
 
3.2%
P 4
 
3.2%
I 3
 
2.4%
Other values (8) 14
11.1%
Decimal Number
ValueCountFrequency (%)
1 1761
24.4%
2 886
12.3%
3 702
 
9.7%
0 696
 
9.7%
4 689
 
9.6%
6 597
 
8.3%
5 537
 
7.5%
7 468
 
6.5%
8 453
 
6.3%
9 416
 
5.8%
Lowercase Letter
ValueCountFrequency (%)
i 5
14.3%
s 5
14.3%
p 5
14.3%
y 5
14.3%
e 5
14.3%
a 5
14.3%
l 5
14.3%
Other Punctuation
ValueCountFrequency (%)
. 68
91.9%
" 6
 
8.1%
Space Separator
ValueCountFrequency (%)
6873
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 286
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22339
60.3%
Common 14548
39.3%
Latin 161
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 1761
 
7.9%
구 1659
 
7.4%
도 1616
 
7.2%
미 1589
 
7.1%
시 1559
 
7.0%
경 1532
 
6.9%
북 1528
 
6.8%
동 1486
 
6.7%
지 1226
 
5.5%
호 1180
 
5.3%
Other values (301) 7203
32.2%
Latin
ValueCountFrequency (%)
B 33
20.5%
L 25
15.5%
A 11
 
6.8%
G 11
 
6.8%
D 10
 
6.2%
S 6
 
3.7%
i 5
 
3.1%
s 5
 
3.1%
p 5
 
3.1%
y 5
 
3.1%
Other values (15) 45
28.0%
Common
ValueCountFrequency (%)
6873
47.2%
1 1761
 
12.1%
2 886
 
6.1%
3 702
 
4.8%
0 696
 
4.8%
4 689
 
4.7%
6 597
 
4.1%
5 537
 
3.7%
7 468
 
3.2%
8 453
 
3.1%
Other values (7) 886
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22339
60.3%
ASCII 14709
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6873
46.7%
1 1761
 
12.0%
2 886
 
6.0%
3 702
 
4.8%
0 696
 
4.7%
4 689
 
4.7%
6 597
 
4.1%
5 537
 
3.7%
7 468
 
3.2%
8 453
 
3.1%
Other values (32) 1047
 
7.1%
Hangul
ValueCountFrequency (%)
상 1761
 
7.9%
구 1659
 
7.4%
도 1616
 
7.2%
미 1589
 
7.1%
시 1559
 
7.0%
경 1532
 
6.9%
북 1528
 
6.8%
동 1486
 
6.7%
지 1226
 
5.5%
호 1180
 
5.3%
Other values (301) 7203
32.2%

민원구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
제7조의3제2항에따른경우
1017 
372 
제7조의3제3항에따른경우
140 
법인
 
1
<NA>
 
1

Length

Max length13
Median length13
Mean length10.071195
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
제7조의3제2항에따른경우 1017
66.4%
372
 
24.3%
제7조의3제3항에따른경우 140
 
9.1%
법인 1
 
0.1%
<NA> 1
 
0.1%

Length

2023-12-12T16:09:41.305877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:09:41.420742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제7조의3제2항에따른경우 1017
87.7%
제7조의3제3항에따른경우 140
 
12.1%
법인 1
 
0.1%
na 1
 
0.1%

지정일자
Date

Distinct1191
Distinct (%)77.9%
Missing3
Missing (%)0.2%
Memory size12.1 KiB
Minimum1972-08-30 00:00:00
Maximum2023-09-18 00:00:00
2023-12-12T16:09:41.565706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:09:41.722201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
054-480-2632
1531 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row054-480-2632
2nd row054-480-2632
3rd row054-480-2632
4th row054-480-2632
5th row054-480-2632

Common Values

ValueCountFrequency (%)
054-480-2632 1531
100.0%

Length

2023-12-12T16:09:41.860012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:09:41.950108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
054-480-2632 1531
100.0%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
구미시청
1531 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
구미시청 1531
100.0%

Length

2023-12-12T16:09:42.039887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:09:42.127245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구미시청 1531
100.0%

Interactions

2023-12-12T16:09:38.430474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:09:42.185378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번민원구분
연번1.0000.721
민원구분0.7211.000
2023-12-12T16:09:42.263541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번민원구분
연번1.0000.524
민원구분0.5241.000

Missing values

2023-12-12T16:09:38.582803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:09:38.706618image/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.
2023-12-12T16:09:38.849092image/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

연번업소명업소도로명주소업소지번주소민원구분지정일자관리기관전화번호관리기관명
01빅마트 도량점경상북도 구미시 문장로14길 18 (도량동)경상북도 구미시 도량동 744-21제7조의3제2항에따른경우2023-09-18054-480-2632구미시청
12세븐일레븐 구미옥계부영점경상북도 구미시 산호대로27길 46 (옥계동)경상북도 구미시 옥계동 621-1제7조의3제2항에따른경우2023-09-18054-480-2632구미시청
23씨유 구미형곡대경점경상북도 구미시 형곡로39길 3. 대경파크빌 (형곡동. 대경파크빌)경상북도 구미시 형곡동 186-4 대경파크빌제7조의3제2항에따른경우2023-09-18054-480-2632구미시청
34씨유 구미5공단점경상북도 구미시 산동읍 동백로 12경상북도 구미시 산동읍 적림리 64-6제7조의3제2항에따른경우2023-09-18054-480-2632구미시청
45(주)코리아세븐 구미구평부영점경상북도 구미시 인동가산로 250-6. 3단지부영아파트 318동 1층 101.102호 (구평동)경상북도 구미시 구평동 453 3단지부영아파트 318동 101호.102호제7조의3제2항에따른경우2023-09-12054-480-2632구미시청
56지에스 더프레시 구미신당점경상북도 구미시 산동읍 신당3로 20. 우미린센트럴파크 109호경상북도 구미시 산동읍 신당리 1383 우미린센트럴파크 109호제7조의3제3항에따른경우2023-09-12054-480-2632구미시청
67브이아이피식자재마트경상북도 구미시 봉곡로24길 37 (봉곡동)경상북도 구미시 봉곡동 171-6제7조의3제2항에따른경우2023-09-12054-480-2632구미시청
78낭랑카페경상북도 구미시 신시로16길 67. 지하 1층 (송정동)경상북도 구미시 송정동 458-1 지하 1층제7조의3제2항에따른경우2023-09-12054-480-2632구미시청
89(주)행복누리경상북도 구미시 산동읍 5공단1로 20. LG-HY BCM 복지동 2층경상북도 구미시 산동읍 도중리 0 LG-HY BCM 복지동 2층제7조의3제2항에따른경우2023-09-12054-480-2632구미시청
910세븐일레븐 구미인의청구점경상북도 구미시 인동19길 36-1. 구미청구하이츠 118동 102.103호 (인의동)경상북도 구미시 인의동 652 구미청구하이츠 118동 102.103호제7조의3제2항에따른경우2023-09-06054-480-2632구미시청
연번업소명업소도로명주소업소지번주소민원구분지정일자관리기관전화번호관리기관명
15211522알뜰슈퍼경상북도 구미시 구미중앙로19길 44 (원평동)경상북도 구미시 원평동 269번지 2호1993-03-27054-480-2632구미시청
15221523씨스페이스 구미송정점경상북도 구미시 백산로2길 4 (송정동)경상북도 구미시 송정동 11번지 7호 (이주단지 7호)2000-02-26054-480-2632구미시청
15231524은하마트경상북도 구미시 신시로24길 5 (송정동)경상북도 구미시 송정동 13번지 10호 (이주단지 22)1994-08-01054-480-2632구미시청
15241525해평버스구내매점경상북도 구미시 해평면 강동로 1616경상북도 구미시 해평면 낙성리 66번지 6호1999-12-18054-480-2632구미시청
15251526가게경상북도 구미시 고아읍 송평구1길 16경상북도 구미시 고아읍 송림리 145번지1981-04-20054-480-2632구미시청
15261527월호상회경상북도 구미시 해평면 강동로 1669-1경상북도 구미시 해평면 월호리 466번지1992-01-10054-480-2632구미시청
15271528산동농협 하나로마트경상북도 구미시 산동면 신당2로 3경상북도 구미시 산동읍 신당리 0번지1972-08-30054-480-2632구미시청
15281529화신식당경상북도 구미시 해평면 강동로 1442경상북도 구미시 해평면 문량리 401번지1986-10-03054-480-2632구미시청
15291530로타리상회경상북도 구미시 산호대로 199. 4호 (공단동. 제일상가)경상북도 구미시 공단동 263번지 제일상가 4호1989-02-20054-480-2632구미시청
15301531해평농협 하나로마트경상북도 구미시 해평면 해평시장1길 6경상북도 구미시 해평면 낙성리 58번지 3호1999-01-20054-480-2632구미시청