Overview

Dataset statistics

Number of variables8
Number of observations1592
Missing cells1152
Missing cells (%)9.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory99.6 KiB
Average record size in memory64.1 B

Variable types

Categorical1
DateTime2
Text5

Dataset

Description강원도 원주시에 있는 휴게음식점 정보(인허가일자, 업소명, 영업소 도로명/지번 주소, 전화번호 등)를 제공합니다.
Author강원도 원주시
URLhttps://www.data.go.kr/data/3043545/fileData.do

Alerts

업종명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지(도로명) has 16 (1.0%) missing valuesMissing
소재지전화 has 1135 (71.3%) missing valuesMissing

Reproduction

Analysis started2023-12-12 03:56:29.713673
Analysis finished2023-12-12 03:56:31.173976
Duration1.46 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
휴게음식점
1592 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
휴게음식점 1592
100.0%

Length

2023-12-12T12:56:31.264161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:56:31.401325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴게음식점 1592
100.0%

인허가일자
Date

Distinct1180
Distinct (%)74.1%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
Minimum1971-08-20 00:00:00
Maximum2022-08-17 00:00:00
2023-12-12T12:56:31.933583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:56:32.166806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct1589
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
2023-12-12T12:56:32.467963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length27
Mean length8.1193467
Min length1

Characters and Unicode

Total characters12926
Distinct characters680
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

Unique1586 ?
Unique (%)99.6%

Sample

1st row선다방
2nd row내다방
3rd row동원다방
4th row소초다방
5th row꼭지다방
ValueCountFrequency (%)
세븐일레븐 11
 
0.7%
문막(서창)휴게소 5
 
0.3%
원주단구점 4
 
0.2%
gs25 4
 
0.2%
지에스25 4
 
0.2%
혁신점 4
 
0.2%
원주혁신도시점 4
 
0.2%
산아래산야초 2
 
0.1%
이삭토스트 2
 
0.1%
원주롯데마트점 2
 
0.1%
Other values (1619) 1628
97.5%
2023-12-12T12:56:32.944577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 761
 
5.9%
원 622
 
4.8%
주 603
 
4.7%
스 379
 
2.9%
이 276
 
2.1%
) 242
 
1.9%
( 241
 
1.9%
피 231
 
1.8%
븐 211
 
1.6%
레 160
 
1.2%
Other values (670) 9200
71.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11566
89.5%
Decimal Number 398
 
3.1%
Uppercase Letter 290
 
2.2%
Close Punctuation 242
 
1.9%
Open Punctuation 241
 
1.9%
Lowercase Letter 92
 
0.7%
Space Separator 78
 
0.6%
Other Punctuation 16
 
0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 761
 
6.6%
원 622
 
5.4%
주 603
 
5.2%
스 379
 
3.3%
이 276
 
2.4%
피 231
 
2.0%
븐 211
 
1.8%
레 160
 
1.4%
페 157
 
1.4%
리 157
 
1.4%
Other values (607) 8009
69.2%
Uppercase Letter
ValueCountFrequency (%)
G 54
18.6%
S 53
18.3%
C 40
13.8%
P 19
 
6.6%
U 17
 
5.9%
E 17
 
5.9%
T 9
 
3.1%
O 9
 
3.1%
F 8
 
2.8%
D 8
 
2.8%
Other values (14) 56
19.3%
Lowercase Letter
ValueCountFrequency (%)
e 15
16.3%
o 11
12.0%
a 8
 
8.7%
r 7
 
7.6%
l 6
 
6.5%
c 6
 
6.5%
s 4
 
4.3%
y 4
 
4.3%
i 4
 
4.3%
m 4
 
4.3%
Other values (11) 23
25.0%
Decimal Number
ValueCountFrequency (%)
2 159
39.9%
5 129
32.4%
4 37
 
9.3%
1 26
 
6.5%
3 16
 
4.0%
0 9
 
2.3%
9 8
 
2.0%
7 8
 
2.0%
6 4
 
1.0%
8 2
 
0.5%
Other Punctuation
ValueCountFrequency (%)
, 7
43.8%
. 6
37.5%
& 2
 
12.5%
' 1
 
6.2%
Close Punctuation
ValueCountFrequency (%)
) 242
100.0%
Open Punctuation
ValueCountFrequency (%)
( 241
100.0%
Space Separator
ValueCountFrequency (%)
78
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11566
89.5%
Common 978
 
7.6%
Latin 382
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 761
 
6.6%
원 622
 
5.4%
주 603
 
5.2%
스 379
 
3.3%
이 276
 
2.4%
피 231
 
2.0%
븐 211
 
1.8%
레 160
 
1.4%
페 157
 
1.4%
리 157
 
1.4%
Other values (607) 8009
69.2%
Latin
ValueCountFrequency (%)
G 54
 
14.1%
S 53
 
13.9%
C 40
 
10.5%
P 19
 
5.0%
U 17
 
4.5%
E 17
 
4.5%
e 15
 
3.9%
o 11
 
2.9%
T 9
 
2.4%
O 9
 
2.4%
Other values (35) 138
36.1%
Common
ValueCountFrequency (%)
) 242
24.7%
( 241
24.6%
2 159
16.3%
5 129
13.2%
78
 
8.0%
4 37
 
3.8%
1 26
 
2.7%
3 16
 
1.6%
0 9
 
0.9%
9 8
 
0.8%
Other values (8) 33
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11566
89.5%
ASCII 1360
 
10.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 761
 
6.6%
원 622
 
5.4%
주 603
 
5.2%
스 379
 
3.3%
이 276
 
2.4%
피 231
 
2.0%
븐 211
 
1.8%
레 160
 
1.4%
페 157
 
1.4%
리 157
 
1.4%
Other values (607) 8009
69.2%
ASCII
ValueCountFrequency (%)
) 242
17.8%
( 241
17.7%
2 159
11.7%
5 129
9.5%
78
 
5.7%
G 54
 
4.0%
S 53
 
3.9%
C 40
 
2.9%
4 37
 
2.7%
1 26
 
1.9%
Other values (53) 301
22.1%

소재지(도로명)
Text

MISSING 

Distinct1519
Distinct (%)96.4%
Missing16
Missing (%)1.0%
Memory size12.6 KiB
2023-12-12T12:56:33.336106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length53
Mean length29.798223
Min length18

Characters and Unicode

Total characters46962
Distinct characters362
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

Unique1479 ?
Unique (%)93.8%

Sample

1st row강원도 원주시 부론면 법천시장길 51
2nd row강원도 원주시 중앙로 139 (중앙동)
3rd row강원도 원주시 천사로 284 (태장동)
4th row강원도 원주시 중앙로 201-7 (학성동)
5th row강원도 원주시 중앙로 58-3 (중앙동,(1층))
ValueCountFrequency (%)
강원도 1576
 
15.4%
원주시 1576
 
15.4%
1층 760
 
7.4%
단계동 200
 
1.9%
지상1층 200
 
1.9%
반곡동 170
 
1.7%
무실동 146
 
1.4%
단구동 140
 
1.4%
지정면 106
 
1.0%
문막읍 95
 
0.9%
Other values (1455) 5292
51.6%
2023-12-12T12:56:33.920391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8688
18.5%
원 3602
 
7.7%
1 2943
 
6.3%
시 1736
 
3.7%
, 1685
 
3.6%
주 1666
 
3.5%
강 1607
 
3.4%
도 1596
 
3.4%
동 1451
 
3.1%
) 1312
 
2.8%
Other values (352) 20676
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25600
54.5%
Space Separator 8688
 
18.5%
Decimal Number 7898
 
16.8%
Other Punctuation 1694
 
3.6%
Close Punctuation 1313
 
2.8%
Open Punctuation 1313
 
2.8%
Dash Punctuation 384
 
0.8%
Uppercase Letter 53
 
0.1%
Math Symbol 10
 
< 0.1%
Lowercase Letter 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 3602
 
14.1%
시 1736
 
6.8%
주 1666
 
6.5%
강 1607
 
6.3%
도 1596
 
6.2%
동 1451
 
5.7%
층 1192
 
4.7%
로 973
 
3.8%
길 713
 
2.8%
호 613
 
2.4%
Other values (314) 10451
40.8%
Uppercase Letter
ValueCountFrequency (%)
B 11
20.8%
A 8
15.1%
C 6
11.3%
I 4
 
7.5%
S 4
 
7.5%
G 4
 
7.5%
K 4
 
7.5%
E 3
 
5.7%
W 2
 
3.8%
H 2
 
3.8%
Other values (4) 5
9.4%
Decimal Number
ValueCountFrequency (%)
1 2943
37.3%
2 1033
 
13.1%
0 819
 
10.4%
3 623
 
7.9%
4 552
 
7.0%
5 502
 
6.4%
6 468
 
5.9%
8 364
 
4.6%
7 350
 
4.4%
9 244
 
3.1%
Other Punctuation
ValueCountFrequency (%)
, 1685
99.5%
. 7
 
0.4%
@ 1
 
0.1%
* 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 3
33.3%
h 3
33.3%
t 3
33.3%
Close Punctuation
ValueCountFrequency (%)
) 1312
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1312
99.9%
[ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
8688
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 384
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25600
54.5%
Common 21300
45.4%
Latin 62
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 3602
 
14.1%
시 1736
 
6.8%
주 1666
 
6.5%
강 1607
 
6.3%
도 1596
 
6.2%
동 1451
 
5.7%
층 1192
 
4.7%
로 973
 
3.8%
길 713
 
2.8%
호 613
 
2.4%
Other values (314) 10451
40.8%
Common
ValueCountFrequency (%)
8688
40.8%
1 2943
 
13.8%
, 1685
 
7.9%
) 1312
 
6.2%
( 1312
 
6.2%
2 1033
 
4.8%
0 819
 
3.8%
3 623
 
2.9%
4 552
 
2.6%
5 502
 
2.4%
Other values (11) 1831
 
8.6%
Latin
ValueCountFrequency (%)
B 11
17.7%
A 8
12.9%
C 6
9.7%
I 4
 
6.5%
S 4
 
6.5%
G 4
 
6.5%
K 4
 
6.5%
e 3
 
4.8%
h 3
 
4.8%
t 3
 
4.8%
Other values (7) 12
19.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25600
54.5%
ASCII 21362
45.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8688
40.7%
1 2943
 
13.8%
, 1685
 
7.9%
) 1312
 
6.1%
( 1312
 
6.1%
2 1033
 
4.8%
0 819
 
3.8%
3 623
 
2.9%
4 552
 
2.6%
5 502
 
2.3%
Other values (28) 1893
 
8.9%
Hangul
ValueCountFrequency (%)
원 3602
 
14.1%
시 1736
 
6.8%
주 1666
 
6.5%
강 1607
 
6.3%
도 1596
 
6.2%
동 1451
 
5.7%
층 1192
 
4.7%
로 973
 
3.8%
길 713
 
2.8%
호 613
 
2.4%
Other values (314) 10451
40.8%

소재지(지번)
Text

Distinct1420
Distinct (%)89.3%
Missing1
Missing (%)0.1%
Memory size12.6 KiB
2023-12-12T12:56:34.332883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length48
Mean length23.680704
Min length15

Characters and Unicode

Total characters37676
Distinct characters306
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

Unique1326 ?
Unique (%)83.3%

Sample

1st row강원도 원주시 부론면 법천리 1449-0
2nd row강원도 원주시 부론면 법천리 1449-51
3rd row강원도 원주시 중앙동 56-17
4th row강원도 원주시 소초면 평장리 789-15
5th row강원도 원주시 태장동 778-12
ValueCountFrequency (%)
강원도 1591
20.0%
원주시 1591
20.0%
단계동 204
 
2.6%
1층 183
 
2.3%
반곡동 170
 
2.1%
무실동 154
 
1.9%
단구동 153
 
1.9%
지상1층 126
 
1.6%
지정면 107
 
1.3%
문막읍 95
 
1.2%
Other values (1657) 3577
45.0%
2023-12-12T12:56:34.967976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7864
20.9%
원 3292
 
8.7%
1 2664
 
7.1%
주 1677
 
4.5%
시 1634
 
4.3%
도 1604
 
4.3%
강 1598
 
4.2%
동 1323
 
3.5%
- 1295
 
3.4%
2 902
 
2.4%
Other values (296) 13823
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19506
51.8%
Decimal Number 8601
22.8%
Space Separator 7864
20.9%
Dash Punctuation 1295
 
3.4%
Other Punctuation 221
 
0.6%
Open Punctuation 67
 
0.2%
Close Punctuation 67
 
0.2%
Uppercase Letter 39
 
0.1%
Lowercase Letter 10
 
< 0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 3292
16.9%
주 1677
 
8.6%
시 1634
 
8.4%
도 1604
 
8.2%
강 1598
 
8.2%
동 1323
 
6.8%
층 461
 
2.4%
지 453
 
2.3%
리 408
 
2.1%
단 388
 
2.0%
Other values (261) 6668
34.2%
Uppercase Letter
ValueCountFrequency (%)
A 6
15.4%
C 5
12.8%
G 4
10.3%
S 4
10.3%
I 4
10.3%
K 4
10.3%
E 3
7.7%
H 3
7.7%
L 2
 
5.1%
B 1
 
2.6%
Other values (3) 3
7.7%
Decimal Number
ValueCountFrequency (%)
1 2664
31.0%
2 902
 
10.5%
8 720
 
8.4%
5 715
 
8.3%
0 681
 
7.9%
4 656
 
7.6%
3 643
 
7.5%
6 596
 
6.9%
7 557
 
6.5%
9 467
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
e 3
30.0%
h 3
30.0%
t 3
30.0%
a 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 216
97.7%
. 4
 
1.8%
@ 1
 
0.5%
Space Separator
ValueCountFrequency (%)
7864
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1295
100.0%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19506
51.8%
Common 18121
48.1%
Latin 49
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 3292
16.9%
주 1677
 
8.6%
시 1634
 
8.4%
도 1604
 
8.2%
강 1598
 
8.2%
동 1323
 
6.8%
층 461
 
2.4%
지 453
 
2.3%
리 408
 
2.1%
단 388
 
2.0%
Other values (261) 6668
34.2%
Common
ValueCountFrequency (%)
7864
43.4%
1 2664
 
14.7%
- 1295
 
7.1%
2 902
 
5.0%
8 720
 
4.0%
5 715
 
3.9%
0 681
 
3.8%
4 656
 
3.6%
3 643
 
3.5%
6 596
 
3.3%
Other values (8) 1385
 
7.6%
Latin
ValueCountFrequency (%)
A 6
12.2%
C 5
10.2%
G 4
 
8.2%
S 4
 
8.2%
I 4
 
8.2%
K 4
 
8.2%
E 3
 
6.1%
e 3
 
6.1%
h 3
 
6.1%
t 3
 
6.1%
Other values (7) 10
20.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19506
51.8%
ASCII 18170
48.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7864
43.3%
1 2664
 
14.7%
- 1295
 
7.1%
2 902
 
5.0%
8 720
 
4.0%
5 715
 
3.9%
0 681
 
3.7%
4 656
 
3.6%
3 643
 
3.5%
6 596
 
3.3%
Other values (25) 1434
 
7.9%
Hangul
ValueCountFrequency (%)
원 3292
16.9%
주 1677
 
8.6%
시 1634
 
8.4%
도 1604
 
8.2%
강 1598
 
8.2%
동 1323
 
6.8%
층 461
 
2.4%
지 453
 
2.3%
리 408
 
2.1%
단 388
 
2.0%
Other values (261) 6668
34.2%

영업장면적
Text

Distinct1373
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
2023-12-12T12:56:35.477137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length4.4440955
Min length1

Characters and Unicode

Total characters7075
Distinct characters12
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

Unique1225 ?
Unique (%)76.9%

Sample

1st row54.9
2nd row53.69
3rd row72.24
4th row42.4
5th row83.85
ValueCountFrequency (%)
0 22
 
1.4%
4 9
 
0.6%
1 7
 
0.4%
3 5
 
0.3%
3.3 4
 
0.3%
8.5 4
 
0.3%
2.7 4
 
0.3%
48 4
 
0.3%
90 3
 
0.2%
24 3
 
0.2%
Other values (1363) 1527
95.9%
2023-12-12T12:56:36.251402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1464
20.7%
1 762
10.8%
2 686
9.7%
4 657
9.3%
3 608
8.6%
5 571
 
8.1%
6 558
 
7.9%
8 548
 
7.7%
7 465
 
6.6%
9 442
 
6.2%
Other values (2) 314
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5610
79.3%
Other Punctuation 1465
 
20.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 762
13.6%
2 686
12.2%
4 657
11.7%
3 608
10.8%
5 571
10.2%
6 558
9.9%
8 548
9.8%
7 465
8.3%
9 442
7.9%
0 313
5.6%
Other Punctuation
ValueCountFrequency (%)
. 1464
99.9%
, 1
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7075
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1464
20.7%
1 762
10.8%
2 686
9.7%
4 657
9.3%
3 608
8.6%
5 571
 
8.1%
6 558
 
7.9%
8 548
 
7.7%
7 465
 
6.6%
9 442
 
6.2%
Other values (2) 314
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7075
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1464
20.7%
1 762
10.8%
2 686
9.7%
4 657
9.3%
3 608
8.6%
5 571
 
8.1%
6 558
 
7.9%
8 548
 
7.7%
7 465
 
6.6%
9 442
 
6.2%
Other values (2) 314
 
4.4%

소재지전화
Text

MISSING 

Distinct420
Distinct (%)91.9%
Missing1135
Missing (%)71.3%
Memory size12.6 KiB
2023-12-12T12:56:36.595398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.02407
Min length5

Characters and Unicode

Total characters5495
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

Unique404 ?
Unique (%)88.4%

Sample

1st row033-732-3535
2nd row033-732-5028
3rd row033-743-3238
4th row033-731-9976
5th row033-743-1194
ValueCountFrequency (%)
033-762-8030 10
 
2.2%
033-762-9234 9
 
2.0%
033-738-7808 5
 
1.1%
033-731-8481 4
 
0.9%
033-731-1794 3
 
0.7%
033-766-2100 2
 
0.4%
033-731-4366 2
 
0.4%
033-749-8888 2
 
0.4%
033-731-8431 2
 
0.4%
033-738-9000 2
 
0.4%
Other values (410) 416
91.0%
2023-12-12T12:56:37.161746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1239
22.5%
- 914
16.6%
0 749
13.6%
7 658
12.0%
4 413
 
7.5%
6 300
 
5.5%
8 292
 
5.3%
2 250
 
4.5%
5 233
 
4.2%
1 232
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4581
83.4%
Dash Punctuation 914
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1239
27.0%
0 749
16.4%
7 658
14.4%
4 413
 
9.0%
6 300
 
6.5%
8 292
 
6.4%
2 250
 
5.5%
5 233
 
5.1%
1 232
 
5.1%
9 215
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 914
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5495
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1239
22.5%
- 914
16.6%
0 749
13.6%
7 658
12.0%
4 413
 
7.5%
6 300
 
5.5%
8 292
 
5.3%
2 250
 
4.5%
5 233
 
4.2%
1 232
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5495
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1239
22.5%
- 914
16.6%
0 749
13.6%
7 658
12.0%
4 413
 
7.5%
6 300
 
5.5%
8 292
 
5.3%
2 250
 
4.5%
5 233
 
4.2%
1 232
 
4.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
Minimum2022-08-23 00:00:00
Maximum2022-08-23 00:00:00
2023-12-12T12:56:37.321914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:56:37.457743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-12T12:56:30.788733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:56:30.948684image/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.
2023-12-12T12:56:31.090249image/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)영업장면적소재지전화데이터기준일자
0휴게음식점1971-08-20선다방<NA>강원도 원주시 부론면 법천리 1449-054.9033-732-35352022-08-23
1휴게음식점1974-05-09내다방강원도 원주시 부론면 법천시장길 51강원도 원주시 부론면 법천리 1449-5153.69033-732-50282022-08-23
2휴게음식점1982-12-30동원다방강원도 원주시 중앙로 139 (중앙동)강원도 원주시 중앙동 56-1772.24033-743-32382022-08-23
3휴게음식점1985-01-29소초다방<NA>강원도 원주시 소초면 평장리 789-1542.4033-731-99762022-08-23
4휴게음식점1987-03-31꼭지다방강원도 원주시 천사로 284 (태장동)강원도 원주시 태장동 778-1283.85033-743-11942022-08-23
5휴게음식점1987-10-16봉선화찻집강원도 원주시 중앙로 201-7 (학성동)강원도 원주시 학성동 213-1486.53033-746-32552022-08-23
6휴게음식점1989-10-13대복다방강원도 원주시 중앙로 58-3 (중앙동,(1층))강원도 원주시 중앙동 187-2 (1층)56.44033-743-03172022-08-23
7휴게음식점1992-01-29크라운다방강원도 원주시 개봉교길 4 (개운동)강원도 원주시 개운동 383-972.13033-763-00612022-08-23
8휴게음식점1993-07-08유림다방강원도 원주시 평원로 50 (평원동)강원도 원주시 평원동 198-1579.48033-743-41562022-08-23
9휴게음식점1993-08-27전다방강원도 원주시 치악로 1868-3 (봉산동)강원도 원주시 봉산동 1102-755.38033-745-31662022-08-23
업종명인허가일자업소명소재지(도로명)소재지(지번)영업장면적소재지전화데이터기준일자
1582휴게음식점2022-08-04지에스25태장현충로점강원도 원주시 현충로58번길 28, 1층 (태장동)강원도 원주시 태장동 688-360<NA>2022-08-23
1583휴게음식점2022-08-08지에스25문막반계리점강원도 원주시 문막읍 문막공단길 292, 1층강원도 원주시 문막읍 반계리 2265-60<NA>2022-08-23
1584휴게음식점2022-08-08커피누아강원도 원주시 상지대길 68, 1층 (우산동)강원도 원주시 우산동 109-40<NA>2022-08-23
1585휴게음식점2022-08-09파이앤버터강원도 원주시 한지공원길 188, 1층 (단계동)강원도 원주시 단계동 943-70<NA>2022-08-23
1586휴게음식점2022-08-10제이케이크강원도 원주시 단구로 125, 1층 (명륜동)강원도 원주시 명륜동 205-1540<NA>2022-08-23
1587휴게음식점2022-08-10케이아이에스정보통신(주)원주(부산방향)휴게소(던킨)강원도 원주시 호저면 마근거리길 120, 원주(부산)휴게소 1층강원도 원주시 호저면 옥산리 211 원주(부산)휴게소0<NA>2022-08-23
1588휴게음식점2022-08-11연이의보물선강원도 원주시 중앙시장길 6, 중앙시장 라동 2층 65호, 66호, 79호 (중앙동)강원도 원주시 중앙동 60-56 중앙시장0<NA>2022-08-23
1589휴게음식점2022-08-123월의숲강원도 원주시 배울로 86, 1층 104호 (반곡동)강원도 원주시 반곡동 1882-10<NA>2022-08-23
1590휴게음식점2022-08-17카페꽃다원강원도 원주시 건강로 25, 1층 125호 (반곡동)강원도 원주시 반곡동 1913-40<NA>2022-08-23
1591휴게음식점2022-08-17메가엠지씨커피원주건강보험공단점강원도 원주시 건강로 21, 조은빌딩 1층 105,106호 (반곡동)강원도 원주시 반곡동 1913-1 조은빌딩0<NA>2022-08-23