Overview

Dataset statistics

Number of variables7
Number of observations1692
Missing cells567
Missing cells (%)4.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory94.3 KiB
Average record size in memory57.1 B

Variable types

Numeric1
Text4
DateTime1
Categorical1

Dataset

Description경상남도 사천시의 담배소매인 지정 현황에 관한 정보(업소명, 주소, 연락처, 지정일자, 영업구붐 등)을 알 수 있습니다.
Author경상남도 사천시
URLhttps://www.data.go.kr/data/15021215/fileData.do

Alerts

업소명 has 147 (8.7%) missing valuesMissing
업소전화번호 has 420 (24.8%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:10:29.347664
Analysis finished2023-12-12 07:10:30.546893
Duration1.2 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct1692
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean846.5
Minimum1
Maximum1692
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.0 KiB
2023-12-12T16:10:30.617621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile85.55
Q1423.75
median846.5
Q31269.25
95-th percentile1607.45
Maximum1692
Range1691
Interquartile range (IQR)845.5

Descriptive statistics

Standard deviation488.58264
Coefficient of variation (CV)0.57717973
Kurtosis-1.2
Mean846.5
Median Absolute Deviation (MAD)423
Skewness0
Sum1432278
Variance238713
MonotonicityStrictly increasing
2023-12-12T16:10:30.777959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1113 1
 
0.1%
1137 1
 
0.1%
1136 1
 
0.1%
1135 1
 
0.1%
1134 1
 
0.1%
1133 1
 
0.1%
1132 1
 
0.1%
1131 1
 
0.1%
1130 1
 
0.1%
Other values (1682) 1682
99.4%
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 (%)
1692 1
0.1%
1691 1
0.1%
1690 1
0.1%
1689 1
0.1%
1688 1
0.1%
1687 1
0.1%
1686 1
0.1%
1685 1
0.1%
1684 1
0.1%
1683 1
0.1%

업소명
Text

MISSING 

Distinct1026
Distinct (%)66.4%
Missing147
Missing (%)8.7%
Memory size13.3 KiB
2023-12-12T16:10:31.073234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length5.4660194
Min length1

Characters and Unicode

Total characters8445
Distinct characters478
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

Unique827 ?
Unique (%)53.5%

Sample

1st row더드림마트
2nd row세븐일레븐 사천수석점
3rd row씨유사천주공점
4th row지에스(GS)25 사천평화점
5th row사천아이폰수리샵(전기종A/S)
ValueCountFrequency (%)
씨유 41
 
2.6%
없음 30
 
1.9%
세븐일레븐 28
 
1.8%
gs25 18
 
1.1%
편의점 12
 
0.8%
사천점 9
 
0.6%
삼천포점 8
 
0.5%
상호없음 8
 
0.5%
미니스톱 8
 
0.5%
우리마트 8
 
0.5%
Other values (1050) 1409
89.2%
2023-12-12T16:10:31.597465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
439
 
5.2%
점 349
 
4.1%
사 287
 
3.4%
천 285
 
3.4%
마 243
 
2.9%
트 221
 
2.6%
퍼 161
 
1.9%
슈 159
 
1.9%
상 134
 
1.6%
회 120
 
1.4%
Other values (468) 6047
71.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7412
87.8%
Space Separator 439
 
5.2%
Decimal Number 219
 
2.6%
Uppercase Letter 206
 
2.4%
Close Punctuation 76
 
0.9%
Open Punctuation 76
 
0.9%
Other Punctuation 10
 
0.1%
Dash Punctuation 5
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 349
 
4.7%
사 287
 
3.9%
천 285
 
3.8%
마 243
 
3.3%
트 221
 
3.0%
퍼 161
 
2.2%
슈 159
 
2.1%
상 134
 
1.8%
회 120
 
1.6%
유 111
 
1.5%
Other values (430) 5342
72.1%
Uppercase Letter
ValueCountFrequency (%)
G 61
29.6%
S 56
27.2%
C 16
 
7.8%
K 12
 
5.8%
L 11
 
5.3%
M 9
 
4.4%
U 8
 
3.9%
O 7
 
3.4%
T 4
 
1.9%
I 3
 
1.5%
Other values (9) 19
 
9.2%
Decimal Number
ValueCountFrequency (%)
2 96
43.8%
5 60
27.4%
4 27
 
12.3%
1 16
 
7.3%
8 9
 
4.1%
3 6
 
2.7%
6 2
 
0.9%
0 1
 
0.5%
9 1
 
0.5%
7 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
. 8
80.0%
& 1
 
10.0%
/ 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
o 1
50.0%
k 1
50.0%
Space Separator
ValueCountFrequency (%)
439
100.0%
Close Punctuation
ValueCountFrequency (%)
) 76
100.0%
Open Punctuation
ValueCountFrequency (%)
( 76
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7411
87.8%
Common 825
 
9.8%
Latin 208
 
2.5%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 349
 
4.7%
사 287
 
3.9%
천 285
 
3.8%
마 243
 
3.3%
트 221
 
3.0%
퍼 161
 
2.2%
슈 159
 
2.1%
상 134
 
1.8%
회 120
 
1.6%
유 111
 
1.5%
Other values (429) 5341
72.1%
Latin
ValueCountFrequency (%)
G 61
29.3%
S 56
26.9%
C 16
 
7.7%
K 12
 
5.8%
L 11
 
5.3%
M 9
 
4.3%
U 8
 
3.8%
O 7
 
3.4%
T 4
 
1.9%
I 3
 
1.4%
Other values (11) 21
 
10.1%
Common
ValueCountFrequency (%)
439
53.2%
2 96
 
11.6%
) 76
 
9.2%
( 76
 
9.2%
5 60
 
7.3%
4 27
 
3.3%
1 16
 
1.9%
8 9
 
1.1%
. 8
 
1.0%
3 6
 
0.7%
Other values (7) 12
 
1.5%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7411
87.8%
ASCII 1033
 
12.2%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
439
42.5%
2 96
 
9.3%
) 76
 
7.4%
( 76
 
7.4%
G 61
 
5.9%
5 60
 
5.8%
S 56
 
5.4%
4 27
 
2.6%
1 16
 
1.5%
C 16
 
1.5%
Other values (28) 110
 
10.6%
Hangul
ValueCountFrequency (%)
점 349
 
4.7%
사 287
 
3.9%
천 285
 
3.8%
마 243
 
3.3%
트 221
 
3.0%
퍼 161
 
2.2%
슈 159
 
2.1%
상 134
 
1.8%
회 120
 
1.6%
유 111
 
1.5%
Other values (429) 5341
72.1%
CJK
ValueCountFrequency (%)
愛 1
100.0%

업소지번주소
Text

Distinct1401
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Memory size13.3 KiB
2023-12-12T16:10:31.998685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length42
Mean length23.765366
Min length1

Characters and Unicode

Total characters40211
Distinct characters256
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1237 ?
Unique (%)73.1%

Sample

1st row경상남도 사천시 정동면 고읍리 602번지 2호 호동이숯불갈비
2nd row경상남도 사천시 사천읍 수석리 348번지 12호 해송빌상가
3rd row경상남도 사천시 벌리동 254번지 1호
4th row경상남도 사천시 사천읍 평화리 176번지 8호
5th row경상남도 사천시 정동면 고읍리 602번지 25호 우주빌딩 1동
ValueCountFrequency (%)
경상남도 1619
 
17.8%
사천시 1618
 
17.8%
호 346
 
3.8%
사천읍 313
 
3.4%
벌리동 166
 
1.8%
1호 165
 
1.8%
사남면 139
 
1.5%
동금동 99
 
1.1%
수석리 94
 
1.0%
용현면 90
 
1.0%
Other values (1211) 4427
48.8%
2023-12-12T16:10:32.462098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9845
24.5%
사 2140
 
5.3%
천 2016
 
5.0%
남 1785
 
4.4%
상 1683
 
4.2%
도 1633
 
4.1%
경 1627
 
4.0%
시 1626
 
4.0%
호 1558
 
3.9%
1 1431
 
3.6%
Other values (246) 14867
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23589
58.7%
Space Separator 9845
24.5%
Decimal Number 6551
 
16.3%
Dash Punctuation 169
 
0.4%
Uppercase Letter 27
 
0.1%
Open Punctuation 10
 
< 0.1%
Close Punctuation 10
 
< 0.1%
Other Punctuation 7
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 2140
 
9.1%
천 2016
 
8.5%
남 1785
 
7.6%
상 1683
 
7.1%
도 1633
 
6.9%
경 1627
 
6.9%
시 1626
 
6.9%
호 1558
 
6.6%
지 1267
 
5.4%
번 1192
 
5.1%
Other values (224) 7062
29.9%
Decimal Number
ValueCountFrequency (%)
1 1431
21.8%
2 826
12.6%
4 724
11.1%
3 703
10.7%
5 619
9.4%
6 489
 
7.5%
0 480
 
7.3%
8 461
 
7.0%
9 418
 
6.4%
7 400
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
B 13
48.1%
L 7
25.9%
A 4
 
14.8%
T 1
 
3.7%
O 1
 
3.7%
P 1
 
3.7%
Space Separator
ValueCountFrequency (%)
9845
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 169
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Other Punctuation
ValueCountFrequency (%)
. 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23589
58.7%
Common 16595
41.3%
Latin 27
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 2140
 
9.1%
천 2016
 
8.5%
남 1785
 
7.6%
상 1683
 
7.1%
도 1633
 
6.9%
경 1627
 
6.9%
시 1626
 
6.9%
호 1558
 
6.6%
지 1267
 
5.4%
번 1192
 
5.1%
Other values (224) 7062
29.9%
Common
ValueCountFrequency (%)
9845
59.3%
1 1431
 
8.6%
2 826
 
5.0%
4 724
 
4.4%
3 703
 
4.2%
5 619
 
3.7%
6 489
 
2.9%
0 480
 
2.9%
8 461
 
2.8%
9 418
 
2.5%
Other values (6) 599
 
3.6%
Latin
ValueCountFrequency (%)
B 13
48.1%
L 7
25.9%
A 4
 
14.8%
T 1
 
3.7%
O 1
 
3.7%
P 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23589
58.7%
ASCII 16622
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9845
59.2%
1 1431
 
8.6%
2 826
 
5.0%
4 724
 
4.4%
3 703
 
4.2%
5 619
 
3.7%
6 489
 
2.9%
0 480
 
2.9%
8 461
 
2.8%
9 418
 
2.5%
Other values (12) 626
 
3.8%
Hangul
ValueCountFrequency (%)
사 2140
 
9.1%
천 2016
 
8.5%
남 1785
 
7.6%
상 1683
 
7.1%
도 1633
 
6.9%
경 1627
 
6.9%
시 1626
 
6.9%
호 1558
 
6.6%
지 1267
 
5.4%
번 1192
 
5.1%
Other values (224) 7062
29.9%

업소도로명주소
Text

Distinct886
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Memory size13.3 KiB
2023-12-12T16:10:32.777955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length46
Mean length16.822104
Min length1

Characters and Unicode

Total characters28463
Distinct characters286
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique697 ?
Unique (%)41.2%

Sample

1st row경상남도 사천시 정동면 진삼로 1380
2nd row경상남도 사천시 사천읍 역사동길 27. 해송빌상가 1층
3rd row경상남도 사천시 벌리4길 100 (벌리동)
4th row경상남도 사천시 사천읍 수양로 15
5th row경상남도 사천시 정동면 사천강1길 1. 우주빌딩 1동
ValueCountFrequency (%)
경상남도 1185
 
19.0%
사천시 1185
 
19.0%
사천읍 226
 
3.6%
벌리동 140
 
2.2%
사남면 112
 
1.8%
진삼로 84
 
1.3%
사천대로 78
 
1.3%
동금동 73
 
1.2%
선구동 67
 
1.1%
향촌동 60
 
1.0%
Other values (901) 3026
48.5%
2023-12-12T16:10:33.202703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5929
20.8%
사 1677
 
5.9%
천 1575
 
5.5%
남 1366
 
4.8%
상 1260
 
4.4%
시 1256
 
4.4%
경 1195
 
4.2%
도 1194
 
4.2%
1 994
 
3.5%
동 979
 
3.4%
Other values (276) 11038
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16993
59.7%
Space Separator 5929
 
20.8%
Decimal Number 3713
 
13.0%
Open Punctuation 712
 
2.5%
Close Punctuation 712
 
2.5%
Dash Punctuation 242
 
0.9%
Other Punctuation 149
 
0.5%
Uppercase Letter 11
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1677
 
9.9%
천 1575
 
9.3%
남 1366
 
8.0%
상 1260
 
7.4%
시 1256
 
7.4%
경 1195
 
7.0%
도 1194
 
7.0%
동 979
 
5.8%
길 599
 
3.5%
로 590
 
3.5%
Other values (251) 5302
31.2%
Decimal Number
ValueCountFrequency (%)
1 994
26.8%
2 532
14.3%
3 349
 
9.4%
7 296
 
8.0%
0 289
 
7.8%
5 272
 
7.3%
4 260
 
7.0%
6 256
 
6.9%
9 246
 
6.6%
8 219
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
B 4
36.4%
A 2
18.2%
G 2
18.2%
S 1
 
9.1%
K 1
 
9.1%
L 1
 
9.1%
Open Punctuation
ValueCountFrequency (%)
( 711
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 711
99.9%
] 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 148
99.3%
* 1
 
0.7%
Space Separator
ValueCountFrequency (%)
5929
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 242
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16993
59.7%
Common 11459
40.3%
Latin 11
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1677
 
9.9%
천 1575
 
9.3%
남 1366
 
8.0%
상 1260
 
7.4%
시 1256
 
7.4%
경 1195
 
7.0%
도 1194
 
7.0%
동 979
 
5.8%
길 599
 
3.5%
로 590
 
3.5%
Other values (251) 5302
31.2%
Common
ValueCountFrequency (%)
5929
51.7%
1 994
 
8.7%
( 711
 
6.2%
) 711
 
6.2%
2 532
 
4.6%
3 349
 
3.0%
7 296
 
2.6%
0 289
 
2.5%
5 272
 
2.4%
4 260
 
2.3%
Other values (9) 1116
 
9.7%
Latin
ValueCountFrequency (%)
B 4
36.4%
A 2
18.2%
G 2
18.2%
S 1
 
9.1%
K 1
 
9.1%
L 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16993
59.7%
ASCII 11470
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5929
51.7%
1 994
 
8.7%
( 711
 
6.2%
) 711
 
6.2%
2 532
 
4.6%
3 349
 
3.0%
7 296
 
2.6%
0 289
 
2.5%
5 272
 
2.4%
4 260
 
2.3%
Other values (15) 1127
 
9.8%
Hangul
ValueCountFrequency (%)
사 1677
 
9.9%
천 1575
 
9.3%
남 1366
 
8.0%
상 1260
 
7.4%
시 1256
 
7.4%
경 1195
 
7.0%
도 1194
 
7.0%
동 979
 
5.8%
길 599
 
3.5%
로 590
 
3.5%
Other values (251) 5302
31.2%

업소전화번호
Text

MISSING 

Distinct699
Distinct (%)55.0%
Missing420
Missing (%)24.8%
Memory size13.3 KiB
2023-12-12T16:10:33.397728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.0188679
Min length1

Characters and Unicode

Total characters11472
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

Unique535 ?
Unique (%)42.1%

Sample

1st row055-835-8100
2nd row055-853-1500
3rd row055-855-3888
4th row055-835-0540
5th row055-835-6364
ValueCountFrequency (%)
055-830-4501 9
 
1.0%
055-292-8323 5
 
0.5%
055-851-2479 4
 
0.4%
055-832-4246 4
 
0.4%
055-854-2500 4
 
0.4%
055-852-6081 4
 
0.4%
055-852-7100 4
 
0.4%
055-852-0346 4
 
0.4%
055-832-2322 4
 
0.4%
055-852-6657 4
 
0.4%
Other values (688) 881
95.0%
2023-12-12T16:10:33.733035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 2764
24.1%
- 1854
16.2%
0 1415
12.3%
8 1270
11.1%
3 1146
10.0%
2 667
 
5.8%
4 588
 
5.1%
1 438
 
3.8%
345
 
3.0%
6 341
 
3.0%
Other values (2) 644
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9273
80.8%
Dash Punctuation 1854
 
16.2%
Space Separator 345
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 2764
29.8%
0 1415
15.3%
8 1270
13.7%
3 1146
12.4%
2 667
 
7.2%
4 588
 
6.3%
1 438
 
4.7%
6 341
 
3.7%
7 341
 
3.7%
9 303
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 1854
100.0%
Space Separator
ValueCountFrequency (%)
345
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11472
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 2764
24.1%
- 1854
16.2%
0 1415
12.3%
8 1270
11.1%
3 1146
10.0%
2 667
 
5.8%
4 588
 
5.1%
1 438
 
3.8%
345
 
3.0%
6 341
 
3.0%
Other values (2) 644
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11472
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 2764
24.1%
- 1854
16.2%
0 1415
12.3%
8 1270
11.1%
3 1146
10.0%
2 667
 
5.8%
4 588
 
5.1%
1 438
 
3.8%
345
 
3.0%
6 341
 
3.0%
Other values (2) 644
 
5.6%

지정일자
Date

Distinct1016
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size13.3 KiB
Minimum1900-01-02 00:00:00
Maximum2019-04-01 00:00:00
2023-12-12T16:10:33.850469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:10:33.957948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업구분
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size13.3 KiB
폐업처리
1014 
정상영업
458 
직권취소
186 
지정취소
 
18
임시소매기간만료
 
16

Length

Max length8
Median length4
Mean length4.0378251
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 1014
59.9%
정상영업 458
27.1%
직권취소 186
 
11.0%
지정취소 18
 
1.1%
임시소매기간만료 16
 
0.9%

Length

2023-12-12T16:10:34.068340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:10:34.162112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 1014
59.9%
정상영업 458
27.1%
직권취소 186
 
11.0%
지정취소 18
 
1.1%
임시소매기간만료 16
 
0.9%

Interactions

2023-12-12T16:10:30.125837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:10:34.228491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번영업구분
연번1.0000.509
영업구분0.5091.000
2023-12-12T16:10:34.291371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번영업구분
연번1.0000.235
영업구분0.2351.000

Missing values

2023-12-12T16:10:30.286201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:10:30.407914image/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.
2023-12-12T16:10:30.500614image/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

연번업소명업소지번주소업소도로명주소업소전화번호지정일자영업구분
01더드림마트경상남도 사천시 정동면 고읍리 602번지 2호 호동이숯불갈비경상남도 사천시 정동면 진삼로 1380<NA>2019-04-01정상영업
12세븐일레븐 사천수석점경상남도 사천시 사천읍 수석리 348번지 12호 해송빌상가경상남도 사천시 사천읍 역사동길 27. 해송빌상가 1층<NA>2019-03-22정상영업
23씨유사천주공점경상남도 사천시 벌리동 254번지 1호경상남도 사천시 벌리4길 100 (벌리동)055-835-81002019-03-11정상영업
34지에스(GS)25 사천평화점경상남도 사천시 사천읍 평화리 176번지 8호경상남도 사천시 사천읍 수양로 15<NA>2019-03-11정상영업
45사천아이폰수리샵(전기종A/S)경상남도 사천시 정동면 고읍리 602번지 25호 우주빌딩 1동경상남도 사천시 정동면 사천강1길 1. 우주빌딩 1동<NA>2019-03-06정상영업
56세븐일레븐 사천서울아동병원점경상남도 사천시 사천읍 평화리 1번지 15호 세븐일레븐 서울아동병원점경상남도 사천시 사천읍 선평길 17. 세븐일레븐 서울아동병원점<NA>2019-02-25정상영업
67서포농업협동조합경상남도 사천시 서포면 구평리 590번지 1호 서포농업협동조합경상남도 사천시 서포면 자구로 463. 서포농업협동조합055-853-15002019-01-22정상영업
78지에스(GS)25 사천한주점경상남도 사천시 사남면 월성리 12번지 7호 301동 101. 호경상남도 사천시 사남면 진삼로 1279-3. 301동 101. 102호055-855-38882019-01-14정상영업
89사천바다건어물경상남도 사천시 대방동 719번지 1호경상남도 사천시 사천대로 7. 삼천포대교회센타 (대방동)055-835-05402019-01-14정상영업
910비티마트경상남도 사천시 사천읍 선인리 302번지 12호경상남도 사천시 사천읍 선인길 27-2<NA>2019-01-14정상영업
연번업소명업소지번주소업소도로명주소업소전화번호지정일자영업구분
16821683사천문구경상남도 사천시 사천읍 선인리 555-3호055-852-34861997-10-27폐업처리
16831684매일편의점경상남도 사천시 사천읍 선인리 525-10호055-852-34571998-10-29폐업처리
16841685<NA>경상남도 사천시 사천읍 선인리 556호경상남도 사천시 사천읍 평례길 281995-07-19직권취소
16851686경상남도 사천시 사천읍 선인리 518-3호055-852-07301997-12-12폐업처리
16861687경상남도 사천시 사천읍 선인리 538호경상남도 사천시 사천읍 동구밖길 401998-11-20정상영업
16871688없음경상남도 사천시 죽림동 775호055-834-34702000-01-01폐업처리
16881689SK유화주유소경상남도 사천시 축동면 배춘리 712번지 5호055-854-51351999-11-06폐업처리
16891690비룡슈퍼경상남도 사천시 동동 5번지 5호경상남도 사천시 새동네1길 110 (동동)055-833-23471998-10-22폐업처리
16901691시온상회경상남도 사천시 서동 178-73호055-832-20061997-05-01폐업처리
16911692본촌상회경상남도 사천시 곤양면 환덕리 1160번지 23호 19통 2반1992-12-14폐업처리