Overview

Dataset statistics

Number of variables8
Number of observations5947
Missing cells1870
Missing cells (%)3.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory377.6 KiB
Average record size in memory65.0 B

Variable types

Numeric1
Categorical1
DateTime2
Text4

Dataset

Description광주광역시 광산구 음식점(일반음식점, 휴게음식점, 제과점) 현황입니다. 업종명, 인허가일자, 업소명, 주소, 전화번호, 데이터기준일자를 제공합니다.
URLhttps://www.data.go.kr/data/15093600/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 연번High correlation
전화번호 has 1867 (31.4%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:32:12.482551
Analysis finished2023-12-12 23:32:13.748930
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct5947
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2974
Minimum1
Maximum5947
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size52.4 KiB
2023-12-13T08:32:13.819498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile298.3
Q11487.5
median2974
Q34460.5
95-th percentile5649.7
Maximum5947
Range5946
Interquartile range (IQR)2973

Descriptive statistics

Standard deviation1716.8954
Coefficient of variation (CV)0.57730173
Kurtosis-1.2
Mean2974
Median Absolute Deviation (MAD)1487
Skewness0
Sum17686378
Variance2947729.7
MonotonicityStrictly increasing
2023-12-13T08:32:13.946517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3963 1
 
< 0.1%
3972 1
 
< 0.1%
3971 1
 
< 0.1%
3970 1
 
< 0.1%
3969 1
 
< 0.1%
3968 1
 
< 0.1%
3967 1
 
< 0.1%
3966 1
 
< 0.1%
3965 1
 
< 0.1%
Other values (5937) 5937
99.8%
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 (%)
5947 1
< 0.1%
5946 1
< 0.1%
5945 1
< 0.1%
5944 1
< 0.1%
5943 1
< 0.1%
5942 1
< 0.1%
5941 1
< 0.1%
5940 1
< 0.1%
5939 1
< 0.1%
5938 1
< 0.1%

업종명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size46.6 KiB
일반음식점
4559 
휴게음식점
1243 
제과점영업
 
145

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 4559
76.7%
휴게음식점 1243
 
20.9%
제과점영업 145
 
2.4%

Length

2023-12-13T08:32:14.067147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:32:14.167638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 4559
76.7%
휴게음식점 1243
 
20.9%
제과점영업 145
 
2.4%

인허가일자
Date

Distinct3249
Distinct (%)54.6%
Missing0
Missing (%)0.0%
Memory size46.6 KiB
Minimum1954-03-28 00:00:00
Maximum2022-12-30 00:00:00
2023-12-13T08:32:14.285816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:32:14.442715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct5642
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size46.6 KiB
2023-12-13T08:32:14.685398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length26
Mean length6.869514
Min length1

Characters and Unicode

Total characters40853
Distinct characters985
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

Unique5428 ?
Unique (%)91.3%

Sample

1st row동막골
2nd row언인정
3rd row장흥
4th row해성식당
5th row어머니국밥
ValueCountFrequency (%)
김밥나라 19
 
0.3%
투다리 9
 
0.1%
동아리 8
 
0.1%
수완점 8
 
0.1%
coffee 8
 
0.1%
광주수완점 7
 
0.1%
첨단점 7
 
0.1%
cafe 7
 
0.1%
세븐일레븐 6
 
0.1%
전주24시참편한39콩나물국밥 6
 
0.1%
Other values (5778) 6105
98.6%
2023-12-13T08:32:15.062051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 1895
 
4.6%
주 852
 
2.1%
이 744
 
1.8%
광 705
 
1.7%
) 658
 
1.6%
( 657
 
1.6%
수 643
 
1.6%
스 581
 
1.4%
리 546
 
1.3%
단 450
 
1.1%
Other values (975) 33122
81.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35848
87.7%
Uppercase Letter 1419
 
3.5%
Lowercase Letter 1054
 
2.6%
Decimal Number 808
 
2.0%
Close Punctuation 658
 
1.6%
Open Punctuation 657
 
1.6%
Space Separator 243
 
0.6%
Other Punctuation 154
 
0.4%
Dash Punctuation 5
 
< 0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1895
 
5.3%
주 852
 
2.4%
이 744
 
2.1%
광 705
 
2.0%
수 643
 
1.8%
스 581
 
1.6%
리 546
 
1.5%
단 450
 
1.3%
완 437
 
1.2%
첨 410
 
1.1%
Other values (893) 28585
79.7%
Lowercase Letter
ValueCountFrequency (%)
e 156
14.8%
a 111
 
10.5%
o 103
 
9.8%
n 62
 
5.9%
c 55
 
5.2%
f 50
 
4.7%
t 49
 
4.6%
i 47
 
4.5%
r 47
 
4.5%
u 43
 
4.1%
Other values (16) 331
31.4%
Uppercase Letter
ValueCountFrequency (%)
C 145
 
10.2%
E 103
 
7.3%
O 99
 
7.0%
A 97
 
6.8%
G 86
 
6.1%
S 85
 
6.0%
B 83
 
5.8%
P 81
 
5.7%
N 64
 
4.5%
T 62
 
4.4%
Other values (16) 514
36.2%
Other Punctuation
ValueCountFrequency (%)
& 71
46.1%
. 33
21.4%
, 19
 
12.3%
# 6
 
3.9%
' 6
 
3.9%
! 6
 
3.9%
: 5
 
3.2%
· 4
 
2.6%
? 2
 
1.3%
; 1
 
0.6%
Decimal Number
ValueCountFrequency (%)
2 180
22.3%
0 113
14.0%
1 112
13.9%
5 111
13.7%
9 73
9.0%
3 62
 
7.7%
4 51
 
6.3%
8 45
 
5.6%
7 40
 
5.0%
6 21
 
2.6%
Math Symbol
ValueCountFrequency (%)
~ 2
40.0%
+ 1
20.0%
< 1
20.0%
> 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 658
100.0%
Open Punctuation
ValueCountFrequency (%)
( 657
100.0%
Space Separator
ValueCountFrequency (%)
243
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35826
87.7%
Common 2532
 
6.2%
Latin 2473
 
6.1%
Han 22
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1895
 
5.3%
주 852
 
2.4%
이 744
 
2.1%
광 705
 
2.0%
수 643
 
1.8%
스 581
 
1.6%
리 546
 
1.5%
단 450
 
1.3%
완 437
 
1.2%
첨 410
 
1.1%
Other values (877) 28563
79.7%
Latin
ValueCountFrequency (%)
e 156
 
6.3%
C 145
 
5.9%
a 111
 
4.5%
o 103
 
4.2%
E 103
 
4.2%
O 99
 
4.0%
A 97
 
3.9%
G 86
 
3.5%
S 85
 
3.4%
B 83
 
3.4%
Other values (42) 1405
56.8%
Common
ValueCountFrequency (%)
) 658
26.0%
( 657
25.9%
243
 
9.6%
2 180
 
7.1%
0 113
 
4.5%
1 112
 
4.4%
5 111
 
4.4%
9 73
 
2.9%
& 71
 
2.8%
3 62
 
2.4%
Other values (20) 252
 
10.0%
Han
ValueCountFrequency (%)
愛 2
 
9.1%
新 2
 
9.1%
天 2
 
9.1%
味 2
 
9.1%
香 2
 
9.1%
家 2
 
9.1%
眞 1
 
4.5%
名 1
 
4.5%
情 1
 
4.5%
船 1
 
4.5%
Other values (6) 6
27.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35823
87.7%
ASCII 5000
 
12.2%
CJK 22
 
0.1%
None 5
 
< 0.1%
Compat Jamo 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 1895
 
5.3%
주 852
 
2.4%
이 744
 
2.1%
광 705
 
2.0%
수 643
 
1.8%
스 581
 
1.6%
리 546
 
1.5%
단 450
 
1.3%
완 437
 
1.2%
첨 410
 
1.1%
Other values (875) 28560
79.7%
ASCII
ValueCountFrequency (%)
) 658
 
13.2%
( 657
 
13.1%
243
 
4.9%
2 180
 
3.6%
e 156
 
3.1%
C 145
 
2.9%
0 113
 
2.3%
1 112
 
2.2%
a 111
 
2.2%
5 111
 
2.2%
Other values (70) 2514
50.3%
None
ValueCountFrequency (%)
· 4
80.0%
＆ 1
 
20.0%
CJK
ValueCountFrequency (%)
愛 2
 
9.1%
新 2
 
9.1%
天 2
 
9.1%
味 2
 
9.1%
香 2
 
9.1%
家 2
 
9.1%
眞 1
 
4.5%
名 1
 
4.5%
情 1
 
4.5%
船 1
 
4.5%
Other values (6) 6
27.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
66.7%
ㄷ 1
33.3%

소재지도로명주소
Text

Distinct3649
Distinct (%)61.4%
Missing3
Missing (%)0.1%
Memory size46.6 KiB
2023-12-13T08:32:15.359676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length20.059892
Min length15

Characters and Unicode

Total characters119236
Distinct characters127
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2484 ?
Unique (%)41.8%

Sample

1st row광주광역시 광산구 월곡중앙로 31
2nd row광주광역시 광산구 박호등임로 40
3rd row광주광역시 광산구 어등대로 703
4th row광주광역시 광산구 상무대로 101
5th row광주광역시 광산구 광산로 2-3
ValueCountFrequency (%)
광주광역시 5944
25.0%
광산구 5944
25.0%
임방울대로 199
 
0.8%
임방울대로826번길 145
 
0.6%
장신로 137
 
0.6%
월계로 135
 
0.6%
30 93
 
0.4%
사암로 88
 
0.4%
신창로 85
 
0.4%
광산로 84
 
0.4%
Other values (1696) 10922
45.9%
2023-12-13T08:32:15.856800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 18002
15.1%
17835
15.0%
산 6511
 
5.5%
구 5946
 
5.0%
주 5946
 
5.0%
역 5944
 
5.0%
시 5944
 
5.0%
로 5704
 
4.8%
1 4456
 
3.7%
길 3650
 
3.1%
Other values (117) 39298
33.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 76494
64.2%
Decimal Number 23257
 
19.5%
Space Separator 17835
 
15.0%
Dash Punctuation 1650
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 18002
23.5%
산 6511
 
8.5%
구 5946
 
7.8%
주 5946
 
7.8%
역 5944
 
7.8%
시 5944
 
7.8%
로 5704
 
7.5%
길 3650
 
4.8%
번 3413
 
4.5%
대 993
 
1.3%
Other values (105) 14441
18.9%
Decimal Number
ValueCountFrequency (%)
1 4456
19.2%
2 3602
15.5%
3 2492
10.7%
5 2107
9.1%
0 2034
8.7%
6 1914
8.2%
4 1879
8.1%
7 1661
 
7.1%
8 1633
 
7.0%
9 1479
 
6.4%
Space Separator
ValueCountFrequency (%)
17835
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1650
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 76494
64.2%
Common 42742
35.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 18002
23.5%
산 6511
 
8.5%
구 5946
 
7.8%
주 5946
 
7.8%
역 5944
 
7.8%
시 5944
 
7.8%
로 5704
 
7.5%
길 3650
 
4.8%
번 3413
 
4.5%
대 993
 
1.3%
Other values (105) 14441
18.9%
Common
ValueCountFrequency (%)
17835
41.7%
1 4456
 
10.4%
2 3602
 
8.4%
3 2492
 
5.8%
5 2107
 
4.9%
0 2034
 
4.8%
6 1914
 
4.5%
4 1879
 
4.4%
7 1661
 
3.9%
- 1650
 
3.9%
Other values (2) 3112
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 76494
64.2%
ASCII 42742
35.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 18002
23.5%
산 6511
 
8.5%
구 5946
 
7.8%
주 5946
 
7.8%
역 5944
 
7.8%
시 5944
 
7.8%
로 5704
 
7.5%
길 3650
 
4.8%
번 3413
 
4.5%
대 993
 
1.3%
Other values (105) 14441
18.9%
ASCII
ValueCountFrequency (%)
17835
41.7%
1 4456
 
10.4%
2 3602
 
8.4%
3 2492
 
5.8%
5 2107
 
4.9%
0 2034
 
4.8%
6 1914
 
4.5%
4 1879
 
4.4%
7 1661
 
3.9%
- 1650
 
3.9%
Other values (2) 3112
 
7.3%

소재지지번주소
Text

Distinct3635
Distinct (%)61.1%
Missing0
Missing (%)0.0%
Memory size46.6 KiB
2023-12-13T08:32:16.275324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length18.835715
Min length13

Characters and Unicode

Total characters112016
Distinct characters80
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2470 ?
Unique (%)41.5%

Sample

1st row광주광역시 광산구 월곡동 550-10
2nd row광주광역시 광산구 서봉동 506-2
3rd row광주광역시 광산구 소촌동 536-24
4th row광주광역시 광산구 도산동 1218-106
5th row광주광역시 광산구 송정동 853-3
ValueCountFrequency (%)
광주광역시 5947
25.0%
광산구 5947
25.0%
월계동 674
 
2.8%
수완동 583
 
2.5%
쌍암동 436
 
1.8%
신가동 436
 
1.8%
우산동 420
 
1.8%
송정동 419
 
1.8%
월곡동 400
 
1.7%
신창동 375
 
1.6%
Other values (3277) 8153
34.3%
2023-12-13T08:32:16.862610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 17847
15.9%
17843
15.9%
산 6835
 
6.1%
동 5948
 
5.3%
역 5947
 
5.3%
시 5947
 
5.3%
구 5947
 
5.3%
주 5947
 
5.3%
1 5118
 
4.6%
- 3983
 
3.6%
Other values (70) 30654
27.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65368
58.4%
Decimal Number 24822
 
22.2%
Space Separator 17843
 
15.9%
Dash Punctuation 3983
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 17847
27.3%
산 6835
 
10.5%
동 5948
 
9.1%
역 5947
 
9.1%
시 5947
 
9.1%
구 5947
 
9.1%
주 5947
 
9.1%
월 1162
 
1.8%
신 825
 
1.3%
계 676
 
1.0%
Other values (58) 8287
12.7%
Decimal Number
ValueCountFrequency (%)
1 5118
20.6%
8 2670
10.8%
6 2641
10.6%
2 2475
10.0%
7 2343
9.4%
5 2293
9.2%
9 1923
 
7.7%
4 1916
 
7.7%
3 1876
 
7.6%
0 1567
 
6.3%
Space Separator
ValueCountFrequency (%)
17843
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3983
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 65368
58.4%
Common 46648
41.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 17847
27.3%
산 6835
 
10.5%
동 5948
 
9.1%
역 5947
 
9.1%
시 5947
 
9.1%
구 5947
 
9.1%
주 5947
 
9.1%
월 1162
 
1.8%
신 825
 
1.3%
계 676
 
1.0%
Other values (58) 8287
12.7%
Common
ValueCountFrequency (%)
17843
38.3%
1 5118
 
11.0%
- 3983
 
8.5%
8 2670
 
5.7%
6 2641
 
5.7%
2 2475
 
5.3%
7 2343
 
5.0%
5 2293
 
4.9%
9 1923
 
4.1%
4 1916
 
4.1%
Other values (2) 3443
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 65368
58.4%
ASCII 46648
41.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 17847
27.3%
산 6835
 
10.5%
동 5948
 
9.1%
역 5947
 
9.1%
시 5947
 
9.1%
구 5947
 
9.1%
주 5947
 
9.1%
월 1162
 
1.8%
신 825
 
1.3%
계 676
 
1.0%
Other values (58) 8287
12.7%
ASCII
ValueCountFrequency (%)
17843
38.3%
1 5118
 
11.0%
- 3983
 
8.5%
8 2670
 
5.7%
6 2641
 
5.7%
2 2475
 
5.3%
7 2343
 
5.0%
5 2293
 
4.9%
9 1923
 
4.1%
4 1916
 
4.1%
Other values (2) 3443
 
7.4%

전화번호
Text

MISSING 

Distinct3965
Distinct (%)97.2%
Missing1867
Missing (%)31.4%
Memory size46.6 KiB
2023-12-13T08:32:17.144861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.020098
Min length9

Characters and Unicode

Total characters49042
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

Unique3857 ?
Unique (%)94.5%

Sample

1st row062-951-7944
2nd row062-944-5056
3rd row062-944-9198
4th row062-941-6182
5th row062-942-6386
ValueCountFrequency (%)
062-228-0000 5
 
0.1%
062-941-5051 3
 
0.1%
062-962-3663 3
 
0.1%
062-605-3000 3
 
0.1%
062-9491-052 3
 
0.1%
062-953-3880 2
 
< 0.1%
062-956-1254 2
 
< 0.1%
062-951-9262 2
 
< 0.1%
062-951-6688 2
 
< 0.1%
062-954-0030 2
 
< 0.1%
Other values (3955) 4053
99.3%
2023-12-13T08:32:17.515356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 8155
16.6%
2 6762
13.8%
0 6334
12.9%
6 5964
12.2%
9 5899
12.0%
5 4075
8.3%
4 2741
 
5.6%
1 2445
 
5.0%
7 2438
 
5.0%
3 2391
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40887
83.4%
Dash Punctuation 8155
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6762
16.5%
0 6334
15.5%
6 5964
14.6%
9 5899
14.4%
5 4075
10.0%
4 2741
6.7%
1 2445
 
6.0%
7 2438
 
6.0%
3 2391
 
5.8%
8 1838
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 8155
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 49042
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 8155
16.6%
2 6762
13.8%
0 6334
12.9%
6 5964
12.2%
9 5899
12.0%
5 4075
8.3%
4 2741
 
5.6%
1 2445
 
5.0%
7 2438
 
5.0%
3 2391
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49042
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 8155
16.6%
2 6762
13.8%
0 6334
12.9%
6 5964
12.2%
9 5899
12.0%
5 4075
8.3%
4 2741
 
5.6%
1 2445
 
5.0%
7 2438
 
5.0%
3 2391
 
4.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size46.6 KiB
Minimum2023-05-04 00:00:00
Maximum2023-05-04 00:00:00
2023-12-13T08:32:17.629142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:32:17.710423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T08:32:13.348009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:32:17.789571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.849
업종명0.8491.000
2023-12-13T08:32:17.880842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.766
업종명0.7661.000

Missing values

2023-12-13T08:32:13.472578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:32:13.594423image/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.
2023-12-13T08:32:13.697182image/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

연번업종명인허가일자업소명소재지도로명주소소재지지번주소전화번호데이터기준일자
01일반음식점1954-03-28동막골광주광역시 광산구 월곡중앙로 31광주광역시 광산구 월곡동 550-10062-951-79442023-05-04
12일반음식점1971-08-24언인정광주광역시 광산구 박호등임로 40광주광역시 광산구 서봉동 506-2062-944-50562023-05-04
23일반음식점1971-11-08장흥광주광역시 광산구 어등대로 703광주광역시 광산구 소촌동 536-24062-944-91982023-05-04
34일반음식점1973-08-03해성식당광주광역시 광산구 상무대로 101광주광역시 광산구 도산동 1218-106062-941-61822023-05-04
45일반음식점1975-06-11어머니국밥광주광역시 광산구 광산로 2-3광주광역시 광산구 송정동 853-3062-942-63862023-05-04
56일반음식점1976-11-29중앙식당광주광역시 광산구 고봉로 799광주광역시 광산구 임곡동 490-11062-952-75192023-05-04
67일반음식점1976-05-28화정떡갈비광주광역시 광산구 광산로29번길 6광주광역시 광산구 송정동 830-7062-944-12752023-05-04
78일반음식점1976-05-27구미광주광역시 광산구 광산로 66-2광주광역시 광산구 송정동 579-5062-944-11052023-05-04
89일반음식점1976-04-27송정떡갈비광주광역시 광산구 광산로29번길 1광주광역시 광산구 송정동 826-3062-944-14392023-05-04
910일반음식점1976-10-15송극광주광역시 광산구 광산로19번길 10광주광역시 광산구 송정동 826-35062-942-00332023-05-04
연번업종명인허가일자업소명소재지도로명주소소재지지번주소전화번호데이터기준일자
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59385939휴게음식점2022-11-30스타벅스광주첨단DT광주광역시 광산구 첨단월봉로 84광주광역시 광산구 산월동 852-2<NA>2023-05-04
59395940휴게음식점2022-11-30투썸플레이스수완대로DT점광주광역시 광산구 임방울대로 533광주광역시 광산구 도천동 275-10062-953-22422023-05-04
59405941휴게음식점2022-12-08사계절분식광주광역시 광산구 금봉로 106-2광주광역시 광산구 우산동 1085<NA>2023-05-04
59415942휴게음식점2022-12-13세븐일레븐광주산정대덕점광주광역시 광산구 산정공원로81번길 36광주광역시 광산구 산정동 932-9<NA>2023-05-04
59425943휴게음식점2022-12-16도노일공일(DONO 101)광주광역시 광산구 금봉로 101광주광역시 광산구 우산동 1078-6<NA>2023-05-04
59435944휴게음식점2022-12-16배스킨라빈스광주소촌점광주광역시 광산구 소촌로 144광주광역시 광산구 소촌동 752-7062-945-37122023-05-04
59445945휴게음식점2022-12-23메가엠지씨커피광주첨단산월점광주광역시 광산구 첨단중앙로68번길 99광주광역시 광산구 산월동 883-1062-974-01002023-05-04
59455946휴게음식점2022-12-26동글타코광주광역시 광산구 광산로86번길 32광주광역시 광산구 송정동 589-1<NA>2023-05-04
59465947휴게음식점2022-12-26지에스(GS)25하남우체국점광주광역시 광산구 하남산단4번로 172광주광역시 광산구 장덕동 992-11<NA>2023-05-04