Overview

Dataset statistics

Number of variables10
Number of observations6010
Missing cells2808
Missing cells (%)4.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory469.7 KiB
Average record size in memory80.0 B

Variable types

Categorical4
DateTime1
Text5

Dataset

Description강원도 원주시에 있는 일반음식점 정보(업종명, 인허가일자, 업소명, 소재지, 소재지 전화번호, 영업장 면적 등)를 제공합니다.
Author강원도 원주시
URLhttps://www.data.go.kr/data/3069201/fileData.do

Alerts

업종명 has constant value ""Constant
관리기관 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지(도로명) has 102 (1.7%) missing valuesMissing
소재지전화 has 2703 (45.0%) missing valuesMissing

Reproduction

Analysis started2023-12-12 19:14:25.561956
Analysis finished2023-12-12 19:14:27.021844
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 size47.1 KiB
일반음식점
6010 

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 6010
100.0%

Length

2023-12-13T04:14:27.099337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:14:27.255164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 6010
100.0%
Distinct3740
Distinct (%)62.2%
Missing0
Missing (%)0.0%
Memory size47.1 KiB
Minimum1969-04-25 00:00:00
Maximum2022-08-18 00:00:00
2023-12-13T04:14:27.436688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:14:27.614833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct5942
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size47.1 KiB
2023-12-13T04:14:27.960380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length6.1071547
Min length1

Characters and Unicode

Total characters36704
Distinct characters953
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5878 ?
Unique (%)97.8%

Sample

1st row민생회관
2nd row만복추어탕
3rd row명랑식당
4th row목화식당
5th row북원사철탕
ValueCountFrequency (%)
원주혁신도시점 6
 
0.1%
혁신점 6
 
0.1%
처갓집양념치킨 4
 
0.1%
단구점 4
 
0.1%
원주혁신점 4
 
0.1%
3
 
< 0.1%
원주집 3
 
< 0.1%
원주단계점 3
 
< 0.1%
단관점 3
 
< 0.1%
소담 3
 
< 0.1%
Other values (6026) 6114
99.4%
2023-12-13T04:14:28.462655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1288
 
3.5%
804
 
2.2%
679
 
1.8%
655
 
1.8%
) 534
 
1.5%
( 533
 
1.5%
480
 
1.3%
473
 
1.3%
432
 
1.2%
428
 
1.2%
Other values (943) 30398
82.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34606
94.3%
Close Punctuation 534
 
1.5%
Open Punctuation 533
 
1.5%
Decimal Number 444
 
1.2%
Uppercase Letter 200
 
0.5%
Lowercase Letter 181
 
0.5%
Space Separator 143
 
0.4%
Other Punctuation 59
 
0.2%
Dash Punctuation 3
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1288
 
3.7%
804
 
2.3%
679
 
2.0%
655
 
1.9%
480
 
1.4%
473
 
1.4%
432
 
1.2%
428
 
1.2%
407
 
1.2%
405
 
1.2%
Other values (876) 28555
82.5%
Uppercase Letter
ValueCountFrequency (%)
B 29
14.5%
C 23
 
11.5%
H 17
 
8.5%
A 14
 
7.0%
O 12
 
6.0%
U 10
 
5.0%
G 10
 
5.0%
S 9
 
4.5%
M 9
 
4.5%
N 8
 
4.0%
Other values (13) 59
29.5%
Lowercase Letter
ValueCountFrequency (%)
e 24
13.3%
a 23
12.7%
o 21
11.6%
c 13
 
7.2%
i 10
 
5.5%
l 10
 
5.5%
r 10
 
5.5%
f 9
 
5.0%
n 9
 
5.0%
t 8
 
4.4%
Other values (12) 44
24.3%
Decimal Number
ValueCountFrequency (%)
1 81
18.2%
2 73
16.4%
0 61
13.7%
3 51
11.5%
9 38
8.6%
4 32
 
7.2%
7 29
 
6.5%
8 28
 
6.3%
5 26
 
5.9%
6 25
 
5.6%
Other Punctuation
ValueCountFrequency (%)
& 22
37.3%
. 16
27.1%
, 15
25.4%
! 3
 
5.1%
' 1
 
1.7%
· 1
 
1.7%
1
 
1.7%
Close Punctuation
ValueCountFrequency (%)
) 534
100.0%
Open Punctuation
ValueCountFrequency (%)
( 533
100.0%
Space Separator
ValueCountFrequency (%)
143
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34596
94.3%
Common 1717
 
4.7%
Latin 381
 
1.0%
Han 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1288
 
3.7%
804
 
2.3%
679
 
2.0%
655
 
1.9%
480
 
1.4%
473
 
1.4%
432
 
1.2%
428
 
1.2%
407
 
1.2%
405
 
1.2%
Other values (867) 28545
82.5%
Latin
ValueCountFrequency (%)
B 29
 
7.6%
e 24
 
6.3%
a 23
 
6.0%
C 23
 
6.0%
o 21
 
5.5%
H 17
 
4.5%
A 14
 
3.7%
c 13
 
3.4%
O 12
 
3.1%
i 10
 
2.6%
Other values (35) 195
51.2%
Common
ValueCountFrequency (%)
) 534
31.1%
( 533
31.0%
143
 
8.3%
1 81
 
4.7%
2 73
 
4.3%
0 61
 
3.6%
3 51
 
3.0%
9 38
 
2.2%
4 32
 
1.9%
7 29
 
1.7%
Other values (12) 142
 
8.3%
Han
ValueCountFrequency (%)
2
20.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34596
94.3%
ASCII 2096
 
5.7%
CJK 10
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1288
 
3.7%
804
 
2.3%
679
 
2.0%
655
 
1.9%
480
 
1.4%
473
 
1.4%
432
 
1.2%
428
 
1.2%
407
 
1.2%
405
 
1.2%
Other values (867) 28545
82.5%
ASCII
ValueCountFrequency (%)
) 534
25.5%
( 533
25.4%
143
 
6.8%
1 81
 
3.9%
2 73
 
3.5%
0 61
 
2.9%
3 51
 
2.4%
9 38
 
1.8%
4 32
 
1.5%
7 29
 
1.4%
Other values (55) 521
24.9%
CJK
ValueCountFrequency (%)
2
20.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
None
ValueCountFrequency (%)
· 1
50.0%
1
50.0%

소재지(도로명)
Text

MISSING 

Distinct5663
Distinct (%)95.9%
Missing102
Missing (%)1.7%
Memory size47.1 KiB
2023-12-13T04:14:28.751955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length54
Mean length26.699052
Min length17

Characters and Unicode

Total characters157738
Distinct characters407
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

Unique5447 ?
Unique (%)92.2%

Sample

1st row강원도 원주시 중앙로 46, 1층 (중앙동)
2nd row강원도 원주시 원일로 177-1 (학성동)
3rd row강원도 원주시 원일로 180-1 (학성동)
4th row강원도 원주시 북원상가길 21 (태장동)
5th row강원도 원주시 중앙시장길 6, 라동 25호 (중앙동,중앙시장)
ValueCountFrequency (%)
강원도 5908
 
16.8%
원주시 5908
 
16.8%
1층 2267
 
6.4%
단계동 701
 
2.0%
단구동 663
 
1.9%
지상1층 578
 
1.6%
무실동 428
 
1.2%
반곡동 397
 
1.1%
지정면 369
 
1.0%
문막읍 354
 
1.0%
Other values (3229) 17633
50.1%
2023-12-13T04:14:29.262497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29301
18.6%
13104
 
8.3%
1 8677
 
5.5%
6443
 
4.1%
5998
 
3.8%
5992
 
3.8%
5975
 
3.8%
5055
 
3.2%
( 4836
 
3.1%
) 4836
 
3.1%
Other values (397) 67521
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 86244
54.7%
Space Separator 29301
 
18.6%
Decimal Number 25767
 
16.3%
Open Punctuation 4839
 
3.1%
Close Punctuation 4839
 
3.1%
Other Punctuation 4546
 
2.9%
Dash Punctuation 2035
 
1.3%
Uppercase Letter 118
 
0.1%
Lowercase Letter 27
 
< 0.1%
Math Symbol 22
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
13104
15.2%
6443
 
7.5%
5998
 
7.0%
5992
 
6.9%
5975
 
6.9%
5055
 
5.9%
3558
 
4.1%
3253
 
3.8%
3031
 
3.5%
1848
 
2.1%
Other values (356) 31987
37.1%
Uppercase Letter
ValueCountFrequency (%)
B 35
29.7%
A 25
21.2%
G 10
 
8.5%
E 9
 
7.6%
K 7
 
5.9%
S 5
 
4.2%
H 5
 
4.2%
C 5
 
4.2%
N 4
 
3.4%
Y 2
 
1.7%
Other values (7) 11
 
9.3%
Decimal Number
ValueCountFrequency (%)
1 8677
33.7%
2 3699
14.4%
3 2395
 
9.3%
0 2179
 
8.5%
4 1991
 
7.7%
5 1648
 
6.4%
6 1582
 
6.1%
7 1375
 
5.3%
8 1245
 
4.8%
9 976
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 4528
99.6%
. 14
 
0.3%
* 3
 
0.1%
@ 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
h 9
33.3%
t 9
33.3%
e 9
33.3%
Open Punctuation
ValueCountFrequency (%)
( 4836
99.9%
[ 3
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 4836
99.9%
] 3
 
0.1%
Space Separator
ValueCountFrequency (%)
29301
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2035
100.0%
Math Symbol
ValueCountFrequency (%)
~ 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 86244
54.7%
Common 71349
45.2%
Latin 145
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
13104
15.2%
6443
 
7.5%
5998
 
7.0%
5992
 
6.9%
5975
 
6.9%
5055
 
5.9%
3558
 
4.1%
3253
 
3.8%
3031
 
3.5%
1848
 
2.1%
Other values (356) 31987
37.1%
Common
ValueCountFrequency (%)
29301
41.1%
1 8677
 
12.2%
( 4836
 
6.8%
) 4836
 
6.8%
, 4528
 
6.3%
2 3699
 
5.2%
3 2395
 
3.4%
0 2179
 
3.1%
- 2035
 
2.9%
4 1991
 
2.8%
Other values (11) 6872
 
9.6%
Latin
ValueCountFrequency (%)
B 35
24.1%
A 25
17.2%
G 10
 
6.9%
h 9
 
6.2%
E 9
 
6.2%
t 9
 
6.2%
e 9
 
6.2%
K 7
 
4.8%
S 5
 
3.4%
H 5
 
3.4%
Other values (10) 22
15.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 86244
54.7%
ASCII 71494
45.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29301
41.0%
1 8677
 
12.1%
( 4836
 
6.8%
) 4836
 
6.8%
, 4528
 
6.3%
2 3699
 
5.2%
3 2395
 
3.3%
0 2179
 
3.0%
- 2035
 
2.8%
4 1991
 
2.8%
Other values (31) 7017
 
9.8%
Hangul
ValueCountFrequency (%)
13104
15.2%
6443
 
7.5%
5998
 
7.0%
5992
 
6.9%
5975
 
6.9%
5055
 
5.9%
3558
 
4.1%
3253
 
3.8%
3031
 
3.5%
1848
 
2.1%
Other values (356) 31987
37.1%
Distinct5324
Distinct (%)88.6%
Missing3
Missing (%)< 0.1%
Memory size47.1 KiB
2023-12-13T04:14:29.656355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length51
Mean length22.083236
Min length13

Characters and Unicode

Total characters132654
Distinct characters323
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4899 ?
Unique (%)81.6%

Sample

1st row강원도 원주시 중앙동 243-1
2nd row강원도 원주시 학성동 223-5
3rd row강원도 원주시 학성동 311-18
4th row강원도 원주시 학성동 425-102
5th row강원도 원주시 태장동 1382-2
ValueCountFrequency (%)
강원도 6007
21.0%
원주시 6007
21.0%
단계동 747
 
2.6%
1층 733
 
2.6%
단구동 721
 
2.5%
무실동 451
 
1.6%
지상1층 422
 
1.5%
반곡동 406
 
1.4%
지정면 379
 
1.3%
문막읍 364
 
1.3%
Other values (5128) 12426
43.4%
2023-12-13T04:14:30.273441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28483
21.5%
12189
 
9.2%
1 9028
 
6.8%
6190
 
4.7%
6097
 
4.6%
6034
 
4.5%
6013
 
4.5%
- 5386
 
4.1%
4831
 
3.6%
2 3487
 
2.6%
Other values (313) 44916
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66236
49.9%
Decimal Number 31513
23.8%
Space Separator 28483
21.5%
Dash Punctuation 5386
 
4.1%
Other Punctuation 437
 
0.3%
Open Punctuation 235
 
0.2%
Close Punctuation 234
 
0.2%
Uppercase Letter 89
 
0.1%
Lowercase Letter 27
 
< 0.1%
Math Symbol 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12189
18.4%
6190
 
9.3%
6097
 
9.2%
6034
 
9.1%
6013
 
9.1%
4831
 
7.3%
1519
 
2.3%
1511
 
2.3%
1497
 
2.3%
1316
 
2.0%
Other values (274) 19039
28.7%
Uppercase Letter
ValueCountFrequency (%)
B 18
20.2%
A 17
19.1%
G 9
10.1%
E 9
10.1%
K 7
 
7.9%
S 5
 
5.6%
H 5
 
5.6%
C 5
 
5.6%
N 4
 
4.5%
I 2
 
2.2%
Other values (7) 8
9.0%
Decimal Number
ValueCountFrequency (%)
1 9028
28.6%
2 3487
 
11.1%
3 2834
 
9.0%
6 2502
 
7.9%
8 2467
 
7.8%
4 2457
 
7.8%
5 2444
 
7.8%
0 2407
 
7.6%
7 2077
 
6.6%
9 1810
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 422
96.6%
. 13
 
3.0%
@ 2
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
t 9
33.3%
e 9
33.3%
h 9
33.3%
Space Separator
ValueCountFrequency (%)
28483
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5386
100.0%
Open Punctuation
ValueCountFrequency (%)
( 235
100.0%
Close Punctuation
ValueCountFrequency (%)
) 234
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 66301
50.0%
Hangul 66237
49.9%
Latin 116
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12189
18.4%
6190
 
9.3%
6097
 
9.2%
6034
 
9.1%
6013
 
9.1%
4831
 
7.3%
1519
 
2.3%
1511
 
2.3%
1497
 
2.3%
1316
 
2.0%
Other values (275) 19040
28.7%
Latin
ValueCountFrequency (%)
B 18
15.5%
A 17
14.7%
t 9
7.8%
e 9
7.8%
G 9
7.8%
E 9
7.8%
h 9
7.8%
K 7
 
6.0%
S 5
 
4.3%
H 5
 
4.3%
Other values (10) 19
16.4%
Common
ValueCountFrequency (%)
28483
43.0%
1 9028
 
13.6%
- 5386
 
8.1%
2 3487
 
5.3%
3 2834
 
4.3%
6 2502
 
3.8%
8 2467
 
3.7%
4 2457
 
3.7%
5 2444
 
3.7%
0 2407
 
3.6%
Other values (8) 4806
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 66417
50.1%
Hangul 66236
49.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28483
42.9%
1 9028
 
13.6%
- 5386
 
8.1%
2 3487
 
5.3%
3 2834
 
4.3%
6 2502
 
3.8%
8 2467
 
3.7%
4 2457
 
3.7%
5 2444
 
3.7%
0 2407
 
3.6%
Other values (28) 4922
 
7.4%
Hangul
ValueCountFrequency (%)
12189
18.4%
6190
 
9.3%
6097
 
9.2%
6034
 
9.1%
6013
 
9.1%
4831
 
7.3%
1519
 
2.3%
1511
 
2.3%
1497
 
2.3%
1316
 
2.0%
Other values (274) 19039
28.7%
None
ValueCountFrequency (%)
1
100.0%
Distinct4695
Distinct (%)78.1%
Missing0
Missing (%)0.0%
Memory size47.1 KiB
2023-12-13T04:14:30.754822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length4.8980033
Min length1

Characters and Unicode

Total characters29437
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

Unique3805 ?
Unique (%)63.3%

Sample

1st row225.12
2nd row61.9
3rd row40.6
4th row83.78
5th row70.33
ValueCountFrequency (%)
0 72
 
1.2%
33.2 11
 
0.2%
28.5 9
 
0.1%
40.95 9
 
0.1%
41.8 7
 
0.1%
32 6
 
0.1%
54.6 6
 
0.1%
90 6
 
0.1%
46.8 6
 
0.1%
40 6
 
0.1%
Other values (4685) 5872
97.7%
2023-12-13T04:14:31.469210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 5652
19.2%
1 3489
11.9%
2 2643
9.0%
4 2581
8.8%
3 2446
8.3%
5 2340
7.9%
6 2330
7.9%
8 2311
7.9%
9 2105
 
7.2%
7 2066
 
7.0%
Other values (2) 1474
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23781
80.8%
Other Punctuation 5656
 
19.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3489
14.7%
2 2643
11.1%
4 2581
10.9%
3 2446
10.3%
5 2340
9.8%
6 2330
9.8%
8 2311
9.7%
9 2105
8.9%
7 2066
8.7%
0 1470
6.2%
Other Punctuation
ValueCountFrequency (%)
. 5652
99.9%
, 4
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 29437
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 5652
19.2%
1 3489
11.9%
2 2643
9.0%
4 2581
8.8%
3 2446
8.3%
5 2340
7.9%
6 2330
7.9%
8 2311
7.9%
9 2105
 
7.2%
7 2066
 
7.0%
Other values (2) 1474
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29437
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 5652
19.2%
1 3489
11.9%
2 2643
9.0%
4 2581
8.8%
3 2446
8.3%
5 2340
7.9%
6 2330
7.9%
8 2311
7.9%
9 2105
 
7.2%
7 2066
 
7.0%
Other values (2) 1474
 
5.0%

소재지전화
Text

MISSING 

Distinct3217
Distinct (%)97.3%
Missing2703
Missing (%)45.0%
Memory size47.1 KiB
2023-12-13T04:14:31.806991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.001512
Min length5

Characters and Unicode

Total characters39689
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

Unique3136 ?
Unique (%)94.8%

Sample

1st row033-742-2837
2nd row033-742-9490
3rd row033-733-0109
4th row033-742-3258
5th row033-742-3869
ValueCountFrequency (%)
033-731-8481 5
 
0.2%
033-733-1000 5
 
0.2%
033-749-1053 3
 
0.1%
033-732-3700 3
 
0.1%
033 3
 
0.1%
033-747-5508 2
 
0.1%
033-745-5995 2
 
0.1%
033-731-5998 2
 
0.1%
033-730-2915 2
 
0.1%
033-764-8892 2
 
0.1%
Other values (3207) 3278
99.1%
2023-12-13T04:14:32.277744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 9216
23.2%
- 6613
16.7%
0 4824
12.2%
7 4742
11.9%
4 2850
 
7.2%
6 2611
 
6.6%
2 2123
 
5.3%
5 1948
 
4.9%
8 1613
 
4.1%
9 1599
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33076
83.3%
Dash Punctuation 6613
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 9216
27.9%
0 4824
14.6%
7 4742
14.3%
4 2850
 
8.6%
6 2611
 
7.9%
2 2123
 
6.4%
5 1948
 
5.9%
8 1613
 
4.9%
9 1599
 
4.8%
1 1550
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 6613
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39689
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 9216
23.2%
- 6613
16.7%
0 4824
12.2%
7 4742
11.9%
4 2850
 
7.2%
6 2611
 
6.6%
2 2123
 
5.3%
5 1948
 
4.9%
8 1613
 
4.1%
9 1599
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39689
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 9216
23.2%
- 6613
16.7%
0 4824
12.2%
7 4742
11.9%
4 2850
 
7.2%
6 2611
 
6.6%
2 2123
 
5.3%
5 1948
 
4.9%
8 1613
 
4.1%
9 1599
 
4.0%

관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.1 KiB
강원도 원주시청
6010 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강원도 원주시청
2nd row강원도 원주시청
3rd row강원도 원주시청
4th row강원도 원주시청
5th row강원도 원주시청

Common Values

ValueCountFrequency (%)
강원도 원주시청 6010
100.0%

Length

2023-12-13T04:14:32.447666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:14:32.562900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원도 6010
50.0%
원주시청 6010
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.1 KiB
033-737-4039
6010 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row033-737-4039
2nd row033-737-4039
3rd row033-737-4039
4th row033-737-4039
5th row033-737-4039

Common Values

ValueCountFrequency (%)
033-737-4039 6010
100.0%

Length

2023-12-13T04:14:32.694026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:14:32.807485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
033-737-4039 6010
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.1 KiB
2022-08-23
6010 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-08-23
2nd row2022-08-23
3rd row2022-08-23
4th row2022-08-23
5th row2022-08-23

Common Values

ValueCountFrequency (%)
2022-08-23 6010
100.0%

Length

2023-12-13T04:14:33.188986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:14:33.288631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-08-23 6010
100.0%

Missing values

2023-12-13T04:14:26.660609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:14:26.809205image/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.
2023-12-13T04:14:26.944727image/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)영업장면적소재지전화관리기관관리기관전화번호데이터기준일자
0일반음식점1975-06-25민생회관강원도 원주시 중앙로 46, 1층 (중앙동)강원도 원주시 중앙동 243-1225.12033-742-2837강원도 원주시청033-737-40392022-08-23
1일반음식점1976-03-04만복추어탕강원도 원주시 원일로 177-1 (학성동)강원도 원주시 학성동 223-561.9033-742-9490강원도 원주시청033-737-40392022-08-23
2일반음식점1976-03-05명랑식당강원도 원주시 원일로 180-1 (학성동)강원도 원주시 학성동 311-1840.6<NA>강원도 원주시청033-737-40392022-08-23
3일반음식점1976-03-05목화식당<NA>강원도 원주시 학성동 425-10283.78<NA>강원도 원주시청033-737-40392022-08-23
4일반음식점1976-03-10북원사철탕강원도 원주시 북원상가길 21 (태장동)강원도 원주시 태장동 1382-270.33033-733-0109강원도 원주시청033-737-40392022-08-23
5일반음식점1984-05-31일호집강원도 원주시 중앙시장길 6, 라동 25호 (중앙동,중앙시장)강원도 원주시 중앙동 62-66 중앙시장 라동 25호66.91033-742-3258강원도 원주시청033-737-40392022-08-23
6일반음식점1976-05-29평안반점강원도 원주시 평원로 153 (학성동)강원도 원주시 학성동 430-1368.52033-742-3869강원도 원주시청033-737-40392022-08-23
7일반음식점1976-07-21동화반점강원도 원주시 북원로 2720 (태장동)강원도 원주시 태장동 1365-393.43033-742-3239강원도 원주시청033-737-40392022-08-23
8일반음식점1997-03-26여주집<NA>강원도 원주시 중앙동 0-0 중앙시장 라동 40호12033-743-7117강원도 원주시청033-737-40392022-08-23
9일반음식점1977-09-09광명식당강원도 원주시 가현로 50 (가현동)강원도 원주시 가현동 133-524.6033-742-6430강원도 원주시청033-737-40392022-08-23
업종명인허가일자업소명소재지(도로명)소재지(지번)영업장면적소재지전화관리기관관리기관전화번호데이터기준일자
6000일반음식점1998-02-09남부통닭강원도 원주시 치악로 1774 (개운동)강원도 원주시 개운동 397-325.2033-762-7144강원도 원주시청033-737-40392022-08-23
6001일반음식점1996-01-20미식가강원도 원주시 혁신로 39-1, 6층 (반곡동)강원도 원주시 반곡동 1884-20033-345-8888강원도 원주시청033-737-40392022-08-23
6002일반음식점1998-07-04퍼플강원도 원주시 금불4길 21-4 (단계동)강원도 원주시 단계동 825-728.5<NA>강원도 원주시청033-737-40392022-08-23
6003일반음식점2007-03-30훠라라한우사골마라탕강원도 원주시 흥업면 흥업텃둔길 10강원도 원주시 흥업면 흥업리 63-7116.58033-766-8776강원도 원주시청033-737-40392022-08-23
6004일반음식점2015-02-25엄가네대박통닭강원도 원주시 무실본동길 17, 지상1층 (무실동)강원도 원주시 무실동 1781-3 지상1층29.06<NA>강원도 원주시청033-737-40392022-08-23
6005일반음식점2017-11-20끼니강원도 원주시 나비허리길 150, 1층 (관설동, 우측상가)강원도 원주시 관설동 1701-2 1층, 우측상가59.04033-766-2821강원도 원주시청033-737-40392022-08-23
6006일반음식점2018-06-25기업맥주강원도 원주시 지정면 신지정로 187, 1층강원도 원주시 지정면 가곡리 1386-256.37<NA>강원도 원주시청033-737-40392022-08-23
6007일반음식점2022-04-20이차돌원주무실점강원도 원주시 만대로 171, 1층 (무실동)강원도 원주시 무실동 1659-13150<NA>강원도 원주시청033-737-40392022-08-23
6008일반음식점2022-06-17불닭발땡초동대문엽기떡볶이(원주기업도시점)강원도 원주시 지정면 무릉로 15, 112호강원도 원주시 지정면 가곡리 1345-1167.04<NA>강원도 원주시청033-737-40392022-08-23
6009일반음식점2022-06-28드루와이정강원도 원주시 호저면 원문로 686, 1층강원도 원주시 호저면 만종리 973-367.05<NA>강원도 원주시청033-737-40392022-08-23