Overview

Dataset statistics

Number of variables8
Number of observations2437
Missing cells96
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory152.4 KiB
Average record size in memory64.1 B

Variable types

Categorical2
DateTime2
Text4

Dataset

Description광주광역시 동구 관내 등록된 음식점 현황(업종분류, 업소명, 허가신고일, 소재지도로명주소, 소재지지번주소, 전화번호 등)에 관한 정보를 제공하고자 합니다
URLhttps://www.data.go.kr/data/15041947/fileData.do

Alerts

업종명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지전화 has 88 (3.6%) missing valuesMissing

Reproduction

Analysis started2023-12-12 17:02:28.841386
Analysis finished2023-12-12 17:02:29.924522
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
일반음식점
2437 

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 2437
100.0%

Length

2023-12-13T02:02:29.986166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:02:30.075933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 2437
100.0%

인허가일자
Date

Distinct1582
Distinct (%)64.9%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
Minimum1972-09-27 00:00:00
Maximum2023-07-25 00:00:00
2023-12-13T02:02:30.169875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:02:30.292825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct2372
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
2023-12-13T02:02:30.579654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length25
Mean length5.998769
Min length1

Characters and Unicode

Total characters14619
Distinct characters842
Distinct categories11 ?
Distinct scripts5 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2322 ?
Unique (%)95.3%

Sample

1st row신성
2nd row남양닭칼국수
3rd row제일중화요리
4th row역전국밥
5th row헤세드
ValueCountFrequency (%)
조선대점 16
 
0.5%
계림점 12
 
0.4%
광주충장로점 12
 
0.4%
충장점 12
 
0.4%
광주 11
 
0.4%
광주점 10
 
0.3%
충장로점 10
 
0.3%
광주동명점 10
 
0.3%
동명점 10
 
0.3%
산수점 10
 
0.3%
Other values (2705) 2966
96.3%
2023-12-13T02:02:31.014244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
642
 
4.4%
점 381
 
2.6%
이 289
 
2.0%
주 229
 
1.6%
식 217
 
1.5%
) 216
 
1.5%
( 215
 
1.5%
스 207
 
1.4%
당 192
 
1.3%
리 191
 
1.3%
Other values (832) 11840
81.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12127
83.0%
Space Separator 642
 
4.4%
Lowercase Letter 633
 
4.3%
Uppercase Letter 480
 
3.3%
Decimal Number 236
 
1.6%
Close Punctuation 216
 
1.5%
Open Punctuation 215
 
1.5%
Other Punctuation 57
 
0.4%
Dash Punctuation 8
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 381
 
3.1%
이 289
 
2.4%
주 229
 
1.9%
식 217
 
1.8%
스 207
 
1.7%
당 192
 
1.6%
리 191
 
1.6%
동 178
 
1.5%
장 162
 
1.3%
대 146
 
1.2%
Other values (754) 9935
81.9%
Uppercase Letter
ValueCountFrequency (%)
E 43
 
9.0%
O 36
 
7.5%
A 36
 
7.5%
B 36
 
7.5%
C 35
 
7.3%
T 35
 
7.3%
N 28
 
5.8%
L 23
 
4.8%
S 22
 
4.6%
H 21
 
4.4%
Other values (16) 165
34.4%
Lowercase Letter
ValueCountFrequency (%)
e 92
14.5%
o 68
 
10.7%
a 58
 
9.2%
r 39
 
6.2%
n 37
 
5.8%
i 35
 
5.5%
t 28
 
4.4%
f 27
 
4.3%
s 27
 
4.3%
c 26
 
4.1%
Other values (15) 196
31.0%
Decimal Number
ValueCountFrequency (%)
1 49
20.8%
2 49
20.8%
0 36
15.3%
9 20
8.5%
7 17
 
7.2%
8 16
 
6.8%
5 16
 
6.8%
4 13
 
5.5%
6 10
 
4.2%
3 10
 
4.2%
Other Punctuation
ValueCountFrequency (%)
& 26
45.6%
. 13
22.8%
, 9
 
15.8%
' 3
 
5.3%
# 2
 
3.5%
· 2
 
3.5%
! 1
 
1.8%
＆ 1
 
1.8%
Math Symbol
ValueCountFrequency (%)
< 1
25.0%
> 1
25.0%
+ 1
25.0%
= 1
25.0%
Space Separator
ValueCountFrequency (%)
642
100.0%
Close Punctuation
ValueCountFrequency (%)
) 216
100.0%
Open Punctuation
ValueCountFrequency (%)
( 215
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12112
82.9%
Common 1379
 
9.4%
Latin 1113
 
7.6%
Han 12
 
0.1%
Hiragana 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 381
 
3.1%
이 289
 
2.4%
주 229
 
1.9%
식 217
 
1.8%
스 207
 
1.7%
당 192
 
1.6%
리 191
 
1.6%
동 178
 
1.5%
장 162
 
1.3%
대 146
 
1.2%
Other values (739) 9920
81.9%
Latin
ValueCountFrequency (%)
e 92
 
8.3%
o 68
 
6.1%
a 58
 
5.2%
E 43
 
3.9%
r 39
 
3.5%
n 37
 
3.3%
O 36
 
3.2%
A 36
 
3.2%
B 36
 
3.2%
i 35
 
3.1%
Other values (41) 633
56.9%
Common
ValueCountFrequency (%)
642
46.6%
) 216
 
15.7%
( 215
 
15.6%
1 49
 
3.6%
2 49
 
3.6%
0 36
 
2.6%
& 26
 
1.9%
9 20
 
1.5%
7 17
 
1.2%
8 16
 
1.2%
Other values (17) 93
 
6.7%
Han
ValueCountFrequency (%)
靑 1
8.3%
心 1
8.3%
乙 1
8.3%
韓 1
8.3%
茶 1
8.3%
在 1
8.3%
無 1
8.3%
好 1
8.3%
材 1
8.3%
李 1
8.3%
Other values (2) 2
16.7%
Hiragana
ValueCountFrequency (%)
ま 1
33.3%
て 1
33.3%
し 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12111
82.8%
ASCII 2488
 
17.0%
CJK 11
 
0.1%
None 3
 
< 0.1%
Hiragana 3
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
642
25.8%
) 216
 
8.7%
( 215
 
8.6%
e 92
 
3.7%
o 68
 
2.7%
a 58
 
2.3%
1 49
 
2.0%
2 49
 
2.0%
E 43
 
1.7%
r 39
 
1.6%
Other values (65) 1017
40.9%
Hangul
ValueCountFrequency (%)
점 381
 
3.1%
이 289
 
2.4%
주 229
 
1.9%
식 217
 
1.8%
스 207
 
1.7%
당 192
 
1.6%
리 191
 
1.6%
동 178
 
1.5%
장 162
 
1.3%
대 146
 
1.2%
Other values (738) 9919
81.9%
None
ValueCountFrequency (%)
· 2
66.7%
＆ 1
33.3%
Hiragana
ValueCountFrequency (%)
ま 1
33.3%
て 1
33.3%
し 1
33.3%
CJK
ValueCountFrequency (%)
靑 1
9.1%
心 1
9.1%
乙 1
9.1%
韓 1
9.1%
茶 1
9.1%
在 1
9.1%
無 1
9.1%
好 1
9.1%
材 1
9.1%
朝 1
9.1%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅅ 1
100.0%

소재지(도로명)
Text

Distinct2297
Distinct (%)94.6%
Missing8
Missing (%)0.3%
Memory size19.2 KiB
2023-12-13T02:02:31.283208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length51
Mean length29.170441
Min length19

Characters and Unicode

Total characters70855
Distinct characters221
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2187 ?
Unique (%)90.0%

Sample

1st row광주광역시 동구 충장로 101-17 (충장로1가)
2nd row광주광역시 동구 충장로58번길 4 (충장로4가)
3rd row광주광역시 동구 구성로 174, 1,2층 (금남로5가)
4th row광주광역시 동구 제봉로17번길 8 (학동)
5th row광주광역시 동구 천변우로 393-17, 1층 (호남동)
ValueCountFrequency (%)
광주광역시 2429
 
17.2%
동구 2429
 
17.2%
1층 1097
 
7.8%
동명동 240
 
1.7%
지산동 213
 
1.5%
산수동 182
 
1.3%
2층 174
 
1.2%
장동 162
 
1.1%
계림동 155
 
1.1%
학동 151
 
1.1%
Other values (1523) 6874
48.7%
2023-12-13T02:02:31.691316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11677
16.5%
동 5457
 
7.7%
광 4935
 
7.0%
1 4161
 
5.9%
( 2934
 
4.1%
) 2934
 
4.1%
로 2586
 
3.6%
구 2532
 
3.6%
주 2445
 
3.5%
시 2433
 
3.4%
Other values (211) 28761
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37676
53.2%
Decimal Number 12322
 
17.4%
Space Separator 11677
 
16.5%
Open Punctuation 2934
 
4.1%
Close Punctuation 2934
 
4.1%
Other Punctuation 2218
 
3.1%
Dash Punctuation 1025
 
1.4%
Uppercase Letter 45
 
0.1%
Math Symbol 14
 
< 0.1%
Lowercase Letter 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 5457
14.5%
광 4935
13.1%
로 2586
 
6.9%
구 2532
 
6.7%
주 2445
 
6.5%
시 2433
 
6.5%
역 2429
 
6.4%
층 1984
 
5.3%
길 1246
 
3.3%
번 1132
 
3.0%
Other values (181) 10497
27.9%
Decimal Number
ValueCountFrequency (%)
1 4161
33.8%
2 1984
16.1%
3 1160
 
9.4%
5 917
 
7.4%
4 783
 
6.4%
6 735
 
6.0%
0 717
 
5.8%
7 676
 
5.5%
8 615
 
5.0%
9 574
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
C 10
22.2%
N 10
22.2%
B 8
17.8%
K 5
11.1%
S 5
11.1%
A 5
11.1%
P 1
 
2.2%
T 1
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 2209
99.6%
. 8
 
0.4%
/ 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
b 7
77.8%
j 1
 
11.1%
y 1
 
11.1%
Space Separator
ValueCountFrequency (%)
11677
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2934
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2934
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1025
100.0%
Math Symbol
ValueCountFrequency (%)
~ 14
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37676
53.2%
Common 33125
46.8%
Latin 54
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 5457
14.5%
광 4935
13.1%
로 2586
 
6.9%
구 2532
 
6.7%
주 2445
 
6.5%
시 2433
 
6.5%
역 2429
 
6.4%
층 1984
 
5.3%
길 1246
 
3.3%
번 1132
 
3.0%
Other values (181) 10497
27.9%
Common
ValueCountFrequency (%)
11677
35.3%
1 4161
 
12.6%
( 2934
 
8.9%
) 2934
 
8.9%
, 2209
 
6.7%
2 1984
 
6.0%
3 1160
 
3.5%
- 1025
 
3.1%
5 917
 
2.8%
4 783
 
2.4%
Other values (9) 3341
 
10.1%
Latin
ValueCountFrequency (%)
C 10
18.5%
N 10
18.5%
B 8
14.8%
b 7
13.0%
K 5
9.3%
S 5
9.3%
A 5
9.3%
j 1
 
1.9%
y 1
 
1.9%
P 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37676
53.2%
ASCII 33179
46.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11677
35.2%
1 4161
 
12.5%
( 2934
 
8.8%
) 2934
 
8.8%
, 2209
 
6.7%
2 1984
 
6.0%
3 1160
 
3.5%
- 1025
 
3.1%
5 917
 
2.8%
4 783
 
2.4%
Other values (20) 3395
 
10.2%
Hangul
ValueCountFrequency (%)
동 5457
14.5%
광 4935
13.1%
로 2586
 
6.9%
구 2532
 
6.7%
주 2445
 
6.5%
시 2433
 
6.5%
역 2429
 
6.4%
층 1984
 
5.3%
길 1246
 
3.3%
번 1132
 
3.0%
Other values (181) 10497
27.9%

소재지(지번)
Text

Distinct2228
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
2023-12-13T02:02:32.046269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length40
Mean length21.453426
Min length14

Characters and Unicode

Total characters52282
Distinct characters191
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

Unique2073 ?
Unique (%)85.1%

Sample

1st row광주광역시 동구 충장로1가 2-3
2nd row광주광역시 동구 충장로4가 36-4
3rd row광주광역시 동구 금남로5가 147-7 1,2층
4th row광주광역시 동구 학동 55-96
5th row광주광역시 동구 호남동 67 1층
ValueCountFrequency (%)
광주광역시 2437
21.6%
동구 2437
21.6%
1층 911
 
8.1%
지산동 293
 
2.6%
동명동 260
 
2.3%
산수동 224
 
2.0%
학동 202
 
1.8%
계림동 194
 
1.7%
대인동 173
 
1.5%
장동 167
 
1.5%
Other values (1977) 4005
35.4%
2023-12-13T02:02:33.029780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11269
21.6%
동 4987
 
9.5%
광 4950
 
9.5%
1 2973
 
5.7%
주 2453
 
4.7%
시 2443
 
4.7%
구 2440
 
4.7%
역 2437
 
4.7%
- 2042
 
3.9%
2 1390
 
2.7%
Other values (181) 14898
28.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26466
50.6%
Space Separator 11269
21.6%
Decimal Number 11014
21.1%
Dash Punctuation 2042
 
3.9%
Close Punctuation 681
 
1.3%
Open Punctuation 680
 
1.3%
Other Punctuation 84
 
0.2%
Uppercase Letter 39
 
0.1%
Math Symbol 5
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 4987
18.8%
광 4950
18.7%
주 2453
9.3%
시 2443
9.2%
구 2440
9.2%
역 2437
9.2%
층 1205
 
4.6%
산 668
 
2.5%
지 374
 
1.4%
장 278
 
1.1%
Other values (154) 4231
16.0%
Decimal Number
ValueCountFrequency (%)
1 2973
27.0%
2 1390
12.6%
5 1201
10.9%
3 1056
 
9.6%
7 867
 
7.9%
4 825
 
7.5%
6 797
 
7.2%
0 680
 
6.2%
8 675
 
6.1%
9 550
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
N 10
25.6%
C 10
25.6%
K 5
12.8%
S 5
12.8%
B 4
 
10.3%
A 3
 
7.7%
P 1
 
2.6%
T 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 79
94.0%
. 5
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
j 1
50.0%
y 1
50.0%
Space Separator
ValueCountFrequency (%)
11269
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2042
100.0%
Close Punctuation
ValueCountFrequency (%)
) 681
100.0%
Open Punctuation
ValueCountFrequency (%)
( 680
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26466
50.6%
Common 25775
49.3%
Latin 41
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 4987
18.8%
광 4950
18.7%
주 2453
9.3%
시 2443
9.2%
구 2440
9.2%
역 2437
9.2%
층 1205
 
4.6%
산 668
 
2.5%
지 374
 
1.4%
장 278
 
1.1%
Other values (154) 4231
16.0%
Common
ValueCountFrequency (%)
11269
43.7%
1 2973
 
11.5%
- 2042
 
7.9%
2 1390
 
5.4%
5 1201
 
4.7%
3 1056
 
4.1%
7 867
 
3.4%
4 825
 
3.2%
6 797
 
3.1%
) 681
 
2.6%
Other values (7) 2674
 
10.4%
Latin
ValueCountFrequency (%)
N 10
24.4%
C 10
24.4%
K 5
12.2%
S 5
12.2%
B 4
 
9.8%
A 3
 
7.3%
P 1
 
2.4%
j 1
 
2.4%
y 1
 
2.4%
T 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26466
50.6%
ASCII 25816
49.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11269
43.7%
1 2973
 
11.5%
- 2042
 
7.9%
2 1390
 
5.4%
5 1201
 
4.7%
3 1056
 
4.1%
7 867
 
3.4%
4 825
 
3.2%
6 797
 
3.1%
) 681
 
2.6%
Other values (17) 2715
 
10.5%
Hangul
ValueCountFrequency (%)
동 4987
18.8%
광 4950
18.7%
주 2453
9.3%
시 2443
9.2%
구 2440
9.2%
역 2437
9.2%
층 1205
 
4.6%
산 668
 
2.5%
지 374
 
1.4%
장 278
 
1.1%
Other values (154) 4231
16.0%

소재지전화
Text

MISSING 

Distinct825
Distinct (%)35.1%
Missing88
Missing (%)3.6%
Memory size19.2 KiB
2023-12-13T02:02:33.316445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length5.3235419
Min length1

Characters and Unicode

Total characters12505
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

Unique808 ?
Unique (%)34.4%

Sample

1st row 062-232-0177
2nd row062-223-6395
3rd row062-232-6901
4th row
5th row062-223-6156
ValueCountFrequency (%)
062-222-9293 3
 
0.4%
062-222-7717 2
 
0.2%
062-228-3332 2
 
0.2%
062-223-8022 2
 
0.2%
062-224-6943 2
 
0.2%
062-232-7081 2
 
0.2%
062-375-5947 2
 
0.2%
062-222-7897 2
 
0.2%
062-234-3389 2
 
0.2%
062-227-2179 2
 
0.2%
Other values (807) 818
97.5%
2023-12-13T02:02:33.764021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 2693
21.5%
2436
19.5%
- 1676
13.4%
0 1300
10.4%
6 1214
9.7%
3 683
 
5.5%
5 477
 
3.8%
4 437
 
3.5%
7 432
 
3.5%
8 414
 
3.3%
Other values (2) 743
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8393
67.1%
Space Separator 2436
 
19.5%
Dash Punctuation 1676
 
13.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2693
32.1%
0 1300
15.5%
6 1214
14.5%
3 683
 
8.1%
5 477
 
5.7%
4 437
 
5.2%
7 432
 
5.1%
8 414
 
4.9%
1 379
 
4.5%
9 364
 
4.3%
Space Separator
ValueCountFrequency (%)
2436
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1676
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12505
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 2693
21.5%
2436
19.5%
- 1676
13.4%
0 1300
10.4%
6 1214
9.7%
3 683
 
5.5%
5 477
 
3.8%
4 437
 
3.5%
7 432
 
3.5%
8 414
 
3.3%
Other values (2) 743
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12505
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 2693
21.5%
2436
19.5%
- 1676
13.4%
0 1300
10.4%
6 1214
9.7%
3 683
 
5.5%
5 477
 
3.8%
4 437
 
3.5%
7 432
 
3.5%
8 414
 
3.3%
Other values (2) 743
 
5.9%

비고
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
전화번호 데이터 미존재
1599 
<NA>
838 

Length

Max length12
Median length12
Mean length9.2490767
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row전화번호 데이터 미존재
3rd row<NA>
4th row<NA>
5th row전화번호 데이터 미존재

Common Values

ValueCountFrequency (%)
전화번호 데이터 미존재 1599
65.6%
<NA> 838
34.4%

Length

2023-12-13T02:02:33.949273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:02:34.066811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전화번호 1599
28.4%
데이터 1599
28.4%
미존재 1599
28.4%
na 838
14.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
Minimum2023-07-25 00:00:00
Maximum2023-07-25 00:00:00
2023-12-13T02:02:34.170357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:02:34.281663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-13T02:02:29.647673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:02:29.773453image/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.
2023-12-13T02:02:29.865778image/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

업종명인허가일자업소명소재지(도로명)소재지(지번)소재지전화비고데이터기준일자
0일반음식점2010-09-08신성광주광역시 동구 충장로 101-17 (충장로1가)광주광역시 동구 충장로1가 2-3062-232-0177<NA>2023-07-25
1일반음식점2019-10-07남양닭칼국수광주광역시 동구 충장로58번길 4 (충장로4가)광주광역시 동구 충장로4가 36-4<NA>전화번호 데이터 미존재2023-07-25
2일반음식점2017-04-04제일중화요리광주광역시 동구 구성로 174, 1,2층 (금남로5가)광주광역시 동구 금남로5가 147-7 1,2층062-223-6395<NA>2023-07-25
3일반음식점2006-11-23역전국밥광주광역시 동구 제봉로17번길 8 (학동)광주광역시 동구 학동 55-96062-232-6901<NA>2023-07-25
4일반음식점2022-01-26헤세드광주광역시 동구 천변우로 393-17, 1층 (호남동)광주광역시 동구 호남동 67 1층전화번호 데이터 미존재2023-07-25
5일반음식점2005-06-30장모사랑광주광역시 동구 백서로 179 (서석동)광주광역시 동구 서석동 23-18062-223-6156<NA>2023-07-25
6일반음식점2001-12-13청원모밀광주광역시 동구 중앙로 174-1 (충장로3가)광주광역시 동구 충장로3가 31-7062-222-2210<NA>2023-07-25
7일반음식점1972-09-27청하광주광역시 동구 충장로 45-12 (충장로4가,외3필지(1층))광주광역시 동구 충장로4가 3-4 외3필지(1층)062-223-7037<NA>2023-07-25
8일반음식점2022-05-11생생치킨광주광역시 동구 양림로119번길 25 (학동)광주광역시 동구 학동 139-3전화번호 데이터 미존재2023-07-25
9일반음식점1973-12-15한성회관광주광역시 동구 충장로 45-22 (금남로4가)광주광역시 동구 금남로4가 85-1062-224-2842<NA>2023-07-25
업종명인허가일자업소명소재지(도로명)소재지(지번)소재지전화비고데이터기준일자
2427일반음식점2023-06-30로지우라바광주광역시 동구 동명로 15, 1층 (동명동)광주광역시 동구 동명동 197-30전화번호 데이터 미존재2023-07-25
2428일반음식점2023-07-03코모드 카페앤바광주광역시 동구 동명로14번길 21, 1,2층 (동명동)광주광역시 동구 동명동 73-8전화번호 데이터 미존재2023-07-25
2429일반음식점2023-07-04백소정충장로점광주광역시 동구 충장로안길 16, 1층 (황금동)광주광역시 동구 황금동 13-9전화번호 데이터 미존재2023-07-25
2430일반음식점2023-07-04오이시타코광주광역시 동구 필문대로 279, 1층 (동명동)광주광역시 동구 동명동 120-22전화번호 데이터 미존재2023-07-25
2431일반음식점2023-07-05베이즐 베이글 동명광주광역시 동구 동계로10번길 7, 1층 (동명동)광주광역시 동구 동명동 181-10전화번호 데이터 미존재2023-07-25
2432일반음식점2023-07-06코우리 스낵광주광역시 동구 장동로 43, 1층 (동명동)광주광역시 동구 동명동 141-14전화번호 데이터 미존재2023-07-25
2433일반음식점2023-07-06커프커프하우스광주광역시 동구 동명로14번길 5, 1층 (동명동)광주광역시 동구 동명동 154-177전화번호 데이터 미존재2023-07-25
2434일반음식점2023-07-11구르르광주광역시 동구 충장로 94-3, 1층 (충장로1가)광주광역시 동구 충장로1가 31-5전화번호 데이터 미존재2023-07-25
2435일반음식점2023-07-12푸드몽 딜리버리광주광역시 동구 필문대로137번길 5-4, 1층 좌측호 (산수동)광주광역시 동구 산수동 534-18전화번호 데이터 미존재2023-07-25
2436일반음식점2023-07-19다다미광주광역시 동구 동명로 15, 2층 (동명동)광주광역시 동구 동명동 197-30전화번호 데이터 미존재2023-07-25