Overview

Dataset statistics

Number of variables7
Number of observations6393
Missing cells4456
Missing cells (%)10.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory349.7 KiB
Average record size in memory56.0 B

Variable types

Categorical2
Text4
DateTime1

Dataset

Description광주광역시 북구에 위치한 음식점현황(일반 및 휴게)으로 업종명, 업소명, 소재지(도로명)주소, 소재지(지번)주소, 소재지전화번호, 영업자시작일의 항목을 공공데이터 포털을 통해 제공합니다.
Author광주광역시 북구
URLhttps://www.data.go.kr/data/15040931/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
소재지 전화 has 4392 (68.7%) missing valuesMissing

Reproduction

Analysis started2024-03-14 15:46:11.012780
Analysis finished2024-03-14 15:46:13.981150
Duration2.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size50.1 KiB
일반음식점
5026 
휴게음식점
1367 

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 5026
78.6%
휴게음식점 1367
 
21.4%

Length

2024-03-15T00:46:14.102909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:46:14.364348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 5026
78.6%
휴게음식점 1367
 
21.4%

업소명
Text

Distinct6022
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size50.1 KiB
2024-03-15T00:46:15.713859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30
Mean length6.5538871
Min length1

Characters and Unicode

Total characters41899
Distinct characters993
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5747 ?
Unique (%)89.9%

Sample

1st row1993
2nd row1995
3rd row2911
4th row(유)광주연세산업
5th row(유)다온임실앤치즈피자패밀리랜드점
ValueCountFrequency (%)
coffee 12
 
0.2%
김밥나라 11
 
0.2%
투사랑 10
 
0.1%
투게더 9
 
0.1%
전남대점 8
 
0.1%
용봉점 8
 
0.1%
양산점 7
 
0.1%
창평국밥 7
 
0.1%
까투리 7
 
0.1%
세븐일레븐 7
 
0.1%
Other values (6226) 6675
98.7%
2024-03-15T00:46:17.475646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 1688
 
4.0%
이 810
 
1.9%
주 772
 
1.8%
) 693
 
1.7%
( 692
 
1.7%
스 620
 
1.5%
광 579
 
1.4%
리 500
 
1.2%
대 489
 
1.2%
피 455
 
1.1%
Other values (983) 34601
82.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36851
88.0%
Uppercase Letter 1272
 
3.0%
Lowercase Letter 1073
 
2.6%
Decimal Number 820
 
2.0%
Close Punctuation 693
 
1.7%
Open Punctuation 692
 
1.7%
Space Separator 369
 
0.9%
Other Punctuation 118
 
0.3%
Dash Punctuation 8
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1688
 
4.6%
이 810
 
2.2%
주 772
 
2.1%
스 620
 
1.7%
광 579
 
1.6%
리 500
 
1.4%
대 489
 
1.3%
피 455
 
1.2%
치 410
 
1.1%
지 390
 
1.1%
Other values (907) 30138
81.8%
Uppercase Letter
ValueCountFrequency (%)
C 135
 
10.6%
E 101
 
7.9%
S 89
 
7.0%
O 83
 
6.5%
B 77
 
6.1%
P 72
 
5.7%
G 71
 
5.6%
A 70
 
5.5%
T 66
 
5.2%
I 53
 
4.2%
Other values (16) 455
35.8%
Lowercase Letter
ValueCountFrequency (%)
e 184
17.1%
a 91
 
8.5%
o 89
 
8.3%
n 72
 
6.7%
f 68
 
6.3%
c 62
 
5.8%
r 61
 
5.7%
i 56
 
5.2%
s 54
 
5.0%
t 52
 
4.8%
Other values (14) 284
26.5%
Decimal Number
ValueCountFrequency (%)
2 226
27.6%
5 123
15.0%
0 121
14.8%
1 85
 
10.4%
8 61
 
7.4%
4 51
 
6.2%
9 47
 
5.7%
3 42
 
5.1%
6 32
 
3.9%
7 32
 
3.9%
Other Punctuation
ValueCountFrequency (%)
& 80
67.8%
. 14
 
11.9%
' 8
 
6.8%
＆ 7
 
5.9%
· 2
 
1.7%
: 2
 
1.7%
# 2
 
1.7%
! 2
 
1.7%
? 1
 
0.8%
Math Symbol
ValueCountFrequency (%)
× 1
50.0%
~ 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 693
100.0%
Open Punctuation
ValueCountFrequency (%)
( 692
100.0%
Space Separator
ValueCountFrequency (%)
369
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36834
87.9%
Common 2703
 
6.5%
Latin 2345
 
5.6%
Han 17
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1688
 
4.6%
이 810
 
2.2%
주 772
 
2.1%
스 620
 
1.7%
광 579
 
1.6%
리 500
 
1.4%
대 489
 
1.3%
피 455
 
1.2%
치 410
 
1.1%
지 390
 
1.1%
Other values (895) 30121
81.8%
Latin
ValueCountFrequency (%)
e 184
 
7.8%
C 135
 
5.8%
E 101
 
4.3%
a 91
 
3.9%
S 89
 
3.8%
o 89
 
3.8%
O 83
 
3.5%
B 77
 
3.3%
P 72
 
3.1%
n 72
 
3.1%
Other values (40) 1352
57.7%
Common
ValueCountFrequency (%)
) 693
25.6%
( 692
25.6%
369
13.7%
2 226
 
8.4%
5 123
 
4.6%
0 121
 
4.5%
1 85
 
3.1%
& 80
 
3.0%
8 61
 
2.3%
4 51
 
1.9%
Other values (16) 202
 
7.5%
Han
ValueCountFrequency (%)
家 4
23.5%
酒 2
11.8%
味 2
11.8%
好 1
 
5.9%
夜 1
 
5.9%
明 1
 
5.9%
美 1
 
5.9%
情 1
 
5.9%
新 1
 
5.9%
富 1
 
5.9%
Other values (2) 2
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36833
87.9%
ASCII 5038
 
12.0%
CJK 17
 
< 0.1%
None 10
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 1688
 
4.6%
이 810
 
2.2%
주 772
 
2.1%
스 620
 
1.7%
광 579
 
1.6%
리 500
 
1.4%
대 489
 
1.3%
피 455
 
1.2%
치 410
 
1.1%
지 390
 
1.1%
Other values (894) 30120
81.8%
ASCII
ValueCountFrequency (%)
) 693
 
13.8%
( 692
 
13.7%
369
 
7.3%
2 226
 
4.5%
e 184
 
3.7%
C 135
 
2.7%
5 123
 
2.4%
0 121
 
2.4%
E 101
 
2.0%
a 91
 
1.8%
Other values (63) 2303
45.7%
None
ValueCountFrequency (%)
＆ 7
70.0%
· 2
 
20.0%
× 1
 
10.0%
CJK
ValueCountFrequency (%)
家 4
23.5%
酒 2
11.8%
味 2
11.8%
好 1
 
5.9%
夜 1
 
5.9%
明 1
 
5.9%
美 1
 
5.9%
情 1
 
5.9%
新 1
 
5.9%
富 1
 
5.9%
Other values (2) 2
11.8%
Compat Jamo
ValueCountFrequency (%)
ㅊ 1
100.0%

소재지(도로명)
Text

Distinct5781
Distinct (%)91.3%
Missing63
Missing (%)1.0%
Memory size50.1 KiB
2024-03-15T00:46:19.183133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length59
Mean length28.484676
Min length20

Characters and Unicode

Total characters180308
Distinct characters374
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

Unique5341 ?
Unique (%)84.4%

Sample

1st row광주광역시 북구 문산로 108 (문흥동)
2nd row광주광역시 북구 우치로228번길 13 1층 (오치동)
3rd row광주광역시 북구 유동길 17 1층 (유동)
4th row광주광역시 북구 동운로 29 (동림동 외1필지 지하2층)
5th row광주광역시 북구 우치로 677 1층 (생용동)
ValueCountFrequency (%)
북구 6332
 
16.4%
광주광역시 6330
 
16.4%
1층 3888
 
10.1%
용봉동 973
 
2.5%
운암동 638
 
1.7%
두암동 485
 
1.3%
오치동 404
 
1.0%
양산동 358
 
0.9%
중흥동 342
 
0.9%
2층 333
 
0.9%
Other values (2611) 18544
48.0%
2024-03-15T00:46:21.459879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32301
17.9%
광 12728
 
7.1%
1 10516
 
5.8%
동 7524
 
4.2%
( 6796
 
3.8%
) 6796
 
3.8%
북 6614
 
3.7%
주 6531
 
3.6%
시 6365
 
3.5%
구 6345
 
3.5%
Other values (364) 77792
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 102488
56.8%
Space Separator 32301
 
17.9%
Decimal Number 30256
 
16.8%
Open Punctuation 6798
 
3.8%
Close Punctuation 6798
 
3.8%
Dash Punctuation 1425
 
0.8%
Uppercase Letter 158
 
0.1%
Math Symbol 35
 
< 0.1%
Lowercase Letter 34
 
< 0.1%
Other Punctuation 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 12728
 
12.4%
동 7524
 
7.3%
북 6614
 
6.5%
주 6531
 
6.4%
시 6365
 
6.2%
구 6345
 
6.2%
역 6335
 
6.2%
로 6180
 
6.0%
층 5105
 
5.0%
길 2731
 
2.7%
Other values (312) 36030
35.2%
Uppercase Letter
ValueCountFrequency (%)
A 38
24.1%
B 37
23.4%
R 15
 
9.5%
C 10
 
6.3%
G 9
 
5.7%
M 6
 
3.8%
T 5
 
3.2%
V 5
 
3.2%
L 4
 
2.5%
H 4
 
2.5%
Other values (10) 25
15.8%
Decimal Number
ValueCountFrequency (%)
1 10516
34.8%
2 3824
 
12.6%
0 2746
 
9.1%
3 2738
 
9.0%
4 2154
 
7.1%
5 1916
 
6.3%
7 1760
 
5.8%
6 1627
 
5.4%
9 1496
 
4.9%
8 1479
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
a 8
23.5%
b 7
20.6%
o 4
11.8%
u 3
 
8.8%
d 2
 
5.9%
s 2
 
5.9%
n 2
 
5.9%
e 2
 
5.9%
w 2
 
5.9%
r 2
 
5.9%
Other Punctuation
ValueCountFrequency (%)
# 5
33.3%
@ 3
20.0%
. 3
20.0%
& 2
 
13.3%
* 2
 
13.3%
Open Punctuation
ValueCountFrequency (%)
( 6796
> 99.9%
[ 2
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 6796
> 99.9%
] 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
32301
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1425
100.0%
Math Symbol
ValueCountFrequency (%)
~ 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 102488
56.8%
Common 77628
43.1%
Latin 192
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 12728
 
12.4%
동 7524
 
7.3%
북 6614
 
6.5%
주 6531
 
6.4%
시 6365
 
6.2%
구 6345
 
6.2%
역 6335
 
6.2%
로 6180
 
6.0%
층 5105
 
5.0%
길 2731
 
2.7%
Other values (312) 36030
35.2%
Latin
ValueCountFrequency (%)
A 38
19.8%
B 37
19.3%
R 15
 
7.8%
C 10
 
5.2%
G 9
 
4.7%
a 8
 
4.2%
b 7
 
3.6%
M 6
 
3.1%
T 5
 
2.6%
V 5
 
2.6%
Other values (20) 52
27.1%
Common
ValueCountFrequency (%)
32301
41.6%
1 10516
 
13.5%
( 6796
 
8.8%
) 6796
 
8.8%
2 3824
 
4.9%
0 2746
 
3.5%
3 2738
 
3.5%
4 2154
 
2.8%
5 1916
 
2.5%
7 1760
 
2.3%
Other values (12) 6081
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 102488
56.8%
ASCII 77820
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32301
41.5%
1 10516
 
13.5%
( 6796
 
8.7%
) 6796
 
8.7%
2 3824
 
4.9%
0 2746
 
3.5%
3 2738
 
3.5%
4 2154
 
2.8%
5 1916
 
2.5%
7 1760
 
2.3%
Other values (42) 6273
 
8.1%
Hangul
ValueCountFrequency (%)
광 12728
 
12.4%
동 7524
 
7.3%
북 6614
 
6.5%
주 6531
 
6.4%
시 6365
 
6.2%
구 6345
 
6.2%
역 6335
 
6.2%
로 6180
 
6.0%
층 5105
 
5.0%
길 2731
 
2.7%
Other values (312) 36030
35.2%

소재지(지번)
Text

Distinct5728
Distinct (%)89.6%
Missing1
Missing (%)< 0.1%
Memory size50.1 KiB
2024-03-15T00:46:23.140038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length51
Mean length23.12234
Min length15

Characters and Unicode

Total characters147798
Distinct characters342
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

Unique5217 ?
Unique (%)81.6%

Sample

1st row광주광역시 북구 문흥동 973-1
2nd row광주광역시 북구 오치동 977-21 1층
3rd row광주광역시 북구 유동 29-11 1층
4th row광주광역시 북구 동림동 703 외1필지 지하2층
5th row광주광역시 북구 생용동 산 127-2 1층
ValueCountFrequency (%)
북구 6394
20.1%
광주광역시 6392
20.1%
1층 3411
 
10.7%
용봉동 1097
 
3.4%
운암동 732
 
2.3%
두암동 539
 
1.7%
오치동 442
 
1.4%
양산동 403
 
1.3%
중흥동 363
 
1.1%
문흥동 349
 
1.1%
Other values (4818) 11747
36.9%
2024-03-15T00:46:25.107040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31482
21.3%
광 12850
 
8.7%
1 10546
 
7.1%
동 6997
 
4.7%
주 6497
 
4.4%
북 6442
 
4.4%
시 6426
 
4.3%
구 6408
 
4.3%
역 6397
 
4.3%
- 5354
 
3.6%
Other values (332) 48399
32.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 75003
50.7%
Decimal Number 34516
23.4%
Space Separator 31482
21.3%
Dash Punctuation 5354
 
3.6%
Open Punctuation 614
 
0.4%
Close Punctuation 614
 
0.4%
Uppercase Letter 134
 
0.1%
Math Symbol 30
 
< 0.1%
Lowercase Letter 27
 
< 0.1%
Other Punctuation 24
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 12850
17.1%
동 6997
9.3%
주 6497
8.7%
북 6442
8.6%
시 6426
8.6%
구 6408
8.5%
역 6397
8.5%
층 4153
 
5.5%
용 1612
 
2.1%
암 1295
 
1.7%
Other values (281) 15926
21.2%
Uppercase Letter
ValueCountFrequency (%)
A 34
25.4%
B 29
21.6%
R 12
 
9.0%
G 8
 
6.0%
C 8
 
6.0%
M 6
 
4.5%
V 5
 
3.7%
L 4
 
3.0%
N 4
 
3.0%
T 4
 
3.0%
Other values (10) 20
14.9%
Decimal Number
ValueCountFrequency (%)
1 10546
30.6%
2 3825
 
11.1%
3 3067
 
8.9%
0 2757
 
8.0%
8 2607
 
7.6%
4 2568
 
7.4%
5 2533
 
7.3%
7 2294
 
6.6%
9 2263
 
6.6%
6 2056
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
b 6
22.2%
a 6
22.2%
u 3
11.1%
o 3
11.1%
d 2
 
7.4%
n 2
 
7.4%
s 2
 
7.4%
r 1
 
3.7%
w 1
 
3.7%
e 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
@ 10
41.7%
. 6
25.0%
# 5
20.8%
& 2
 
8.3%
/ 1
 
4.2%
Math Symbol
ValueCountFrequency (%)
~ 28
93.3%
+ 2
 
6.7%
Space Separator
ValueCountFrequency (%)
31482
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5354
100.0%
Open Punctuation
ValueCountFrequency (%)
( 614
100.0%
Close Punctuation
ValueCountFrequency (%)
) 614
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 75003
50.7%
Common 72634
49.1%
Latin 161
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 12850
17.1%
동 6997
9.3%
주 6497
8.7%
북 6442
8.6%
시 6426
8.6%
구 6408
8.5%
역 6397
8.5%
층 4153
 
5.5%
용 1612
 
2.1%
암 1295
 
1.7%
Other values (281) 15926
21.2%
Latin
ValueCountFrequency (%)
A 34
21.1%
B 29
18.0%
R 12
 
7.5%
G 8
 
5.0%
C 8
 
5.0%
b 6
 
3.7%
a 6
 
3.7%
M 6
 
3.7%
V 5
 
3.1%
L 4
 
2.5%
Other values (20) 43
26.7%
Common
ValueCountFrequency (%)
31482
43.3%
1 10546
 
14.5%
- 5354
 
7.4%
2 3825
 
5.3%
3 3067
 
4.2%
0 2757
 
3.8%
8 2607
 
3.6%
4 2568
 
3.5%
5 2533
 
3.5%
7 2294
 
3.2%
Other values (11) 5601
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 75002
50.7%
ASCII 72795
49.3%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31482
43.2%
1 10546
 
14.5%
- 5354
 
7.4%
2 3825
 
5.3%
3 3067
 
4.2%
0 2757
 
3.8%
8 2607
 
3.6%
4 2568
 
3.5%
5 2533
 
3.5%
7 2294
 
3.2%
Other values (41) 5762
 
7.9%
Hangul
ValueCountFrequency (%)
광 12850
17.1%
동 6997
9.3%
주 6497
8.7%
북 6442
8.6%
시 6426
8.6%
구 6408
8.5%
역 6397
8.5%
층 4153
 
5.5%
용 1612
 
2.1%
암 1295
 
1.7%
Other values (280) 15925
21.2%
Compat Jamo
ValueCountFrequency (%)
ㅁ 1
100.0%

소재지 전화
Text

MISSING 

Distinct1967
Distinct (%)98.3%
Missing4392
Missing (%)68.7%
Memory size50.1 KiB
2024-03-15T00:46:26.105253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.0005
Min length11

Characters and Unicode

Total characters24013
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1934 ?
Unique (%)96.7%

Sample

1st row062-512-4444
2nd row062-571-5071
3rd row062-457-4223
4th row062-528-3888
5th row062-531-4840
ValueCountFrequency (%)
062-268-1194 3
 
0.1%
062-511-5050 2
 
0.1%
062-267-2225 2
 
0.1%
062-573-9932 2
 
0.1%
062-576-9299 2
 
0.1%
062-515-9909 2
 
0.1%
062-971-9119 2
 
0.1%
062-261-2500 2
 
0.1%
062-513-1199 2
 
0.1%
062-572-9283 2
 
0.1%
Other values (1957) 1980
99.0%
2024-03-15T00:46:27.487238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 4374
18.2%
- 4002
16.7%
6 3440
14.3%
0 2830
11.8%
5 2448
10.2%
1 1453
 
6.1%
7 1421
 
5.9%
3 1119
 
4.7%
9 1026
 
4.3%
8 960
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20011
83.3%
Dash Punctuation 4002
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 4374
21.9%
6 3440
17.2%
0 2830
14.1%
5 2448
12.2%
1 1453
 
7.3%
7 1421
 
7.1%
3 1119
 
5.6%
9 1026
 
5.1%
8 960
 
4.8%
4 940
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 4002
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24013
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 4374
18.2%
- 4002
16.7%
6 3440
14.3%
0 2830
11.8%
5 2448
10.2%
1 1453
 
6.1%
7 1421
 
5.9%
3 1119
 
4.7%
9 1026
 
4.3%
8 960
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24013
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 4374
18.2%
- 4002
16.7%
6 3440
14.3%
0 2830
11.8%
5 2448
10.2%
1 1453
 
6.1%
7 1421
 
5.9%
3 1119
 
4.7%
9 1026
 
4.3%
8 960
 
4.0%

영업자시작일
Date

Distinct2675
Distinct (%)41.8%
Missing0
Missing (%)0.0%
Memory size50.1 KiB
Minimum1970-04-22 00:00:00
Maximum2023-12-22 00:00:00
2024-03-15T00:46:27.816640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:46:28.272076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size50.1 KiB
2024-01-04
6393 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-04
2nd row2024-01-04
3rd row2024-01-04
4th row2024-01-04
5th row2024-01-04

Common Values

ValueCountFrequency (%)
2024-01-04 6393
100.0%

Length

2024-03-15T00:46:28.693876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:46:28.858654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-04 6393
100.0%

Missing values

2024-03-15T00:46:13.116110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T00:46:13.516120image/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.
2024-03-15T00:46:13.835526image/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

업종명업소명소재지(도로명)소재지(지번)소재지 전화영업자시작일데이터기준일자
0일반음식점1993광주광역시 북구 문산로 108 (문흥동)광주광역시 북구 문흥동 973-1<NA>2017-03-312024-01-04
1일반음식점1995광주광역시 북구 우치로228번길 13 1층 (오치동)광주광역시 북구 오치동 977-21 1층<NA>2022-11-152024-01-04
2일반음식점2911광주광역시 북구 유동길 17 1층 (유동)광주광역시 북구 유동 29-11 1층<NA>2022-09-072024-01-04
3일반음식점(유)광주연세산업광주광역시 북구 동운로 29 (동림동 외1필지 지하2층)광주광역시 북구 동림동 703 외1필지 지하2층062-512-44442013-08-072024-01-04
4일반음식점(유)다온임실앤치즈피자패밀리랜드점광주광역시 북구 우치로 677 1층 (생용동)광주광역시 북구 생용동 산 127-2 1층062-571-50712023-12-182024-01-04
5일반음식점(유)아웃백스테이크하우스코리아동광주홈플러스점광주광역시 북구 동문대로 200 삼성홈플러스 1층 (두암동)광주광역시 북구 두암동 575-1 삼성홈플러스 1층<NA>2022-12-162024-01-04
6일반음식점(유)에이치에이치푸드광주광역시 북구 하서로 290-51 (일곡동 지하1층)광주광역시 북구 일곡동 760-2 지하1층062-457-42232023-04-202024-01-04
7일반음식점(유)옥천면옥광주광역시 북구 무등로 144 (신안동)광주광역시 북구 신안동 257-4062-528-38882019-03-202024-01-04
8일반음식점(주)꽃담샤브광주광역시 북구 첨단연신로 97 (신용동 솔로몬타워 7층 701~703호)광주광역시 북구 신용동 733 솔로몬타워 7층 701~703호062-531-48402014-02-282024-01-04
9일반음식점(주)신미광주광역시 북구 용봉로 77 전남대학교 1학생회관 1층 (용봉동)광주광역시 북구 용봉동 300 전남대학교062-228-40582021-03-052024-01-04
업종명업소명소재지(도로명)소재지(지번)소재지 전화영업자시작일데이터기준일자
6383휴게음식점화채업자임동점광주광역시 북구 경양로63번길 7 1층 (임동)광주광역시 북구 임동 187-39 1층<NA>2023-01-192024-01-04
6384휴게음식점환희광주광역시 북구 중가로85번길 35-11 (중흥동)광주광역시 북구 중흥동 715-13062-368-00332021-07-152024-01-04
6385휴게음식점효드림요양병원매점광주광역시 북구 들재매길 101 (신안동 1층)광주광역시 북구 신안동 234-5 1층062-512-22552016-10-242024-01-04
6386휴게음식점후토루광주광역시 북구 호동로 6-3 1층 (중흥동)광주광역시 북구 중흥동 279-36 1층<NA>2022-06-232024-01-04
6387휴게음식점훼이보릿커피광주광역시 북구 설죽로214번길 76 (용봉동 1층)광주광역시 북구 용봉동 1252-2 1층<NA>2017-07-112024-01-04
6388휴게음식점휴게소광주광역시 북구 효산로 3 1층 (용봉동)광주광역시 북구 용봉동 20-17<NA>2023-08-212024-01-04
6389휴게음식점흑화당전남대점광주광역시 북구 우치로100번길 12 1층 (용봉동)광주광역시 북구 용봉동 158-1 1층062-251-77102019-05-132024-01-04
6390휴게음식점힐링봄광주광역시 북구 용산마을길 145 (용전동 1층)광주광역시 북구 용전동 1041-60 1층062-573-21452017-08-072024-01-04
6391휴게음식점힐링식지락광주광역시 북구 자미로66번길 20 1층 (신안동)광주광역시 북구 신안동 211-32 1층<NA>2022-05-312024-01-04
6392휴게음식점힐링카페광주광역시 북구 금호로86번길 20 상가동 1층 103호 (운암동 중흥아파트)광주광역시 북구 운암동 140-17 중흥아파트<NA>2019-07-052024-01-04