Overview

Dataset statistics

Number of variables8
Number of observations1702
Missing cells374
Missing cells (%)2.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory106.5 KiB
Average record size in memory64.1 B

Variable types

Categorical3
DateTime1
Text4

Dataset

Description동해시 향토음식점, 모범음식점 먹거리촌 등 소개에 대한 데이터로 음식점 업종, 업소명, 소재지, 소재지 전화, 업태명 등을 공유합니다.
Author강원특별자치도 동해시
URLhttps://www.data.go.kr/data/3045118/fileData.do

Alerts

업종명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지전화 has 362 (21.3%) missing valuesMissing

Reproduction

Analysis started2024-04-06 08:35:42.614868
Analysis finished2024-04-06 08:35:44.501283
Duration1.89 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
일반음식점
1702 

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 1702
100.0%

Length

2024-04-06T17:35:44.673545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:35:44.885594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 1702
100.0%

인허가일자
Date

Distinct1445
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
Minimum1963-10-10 00:00:00
Maximum2024-03-26 00:00:00
2024-04-06T17:35:45.098402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:35:45.409390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct1700
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
2024-04-06T17:35:46.322076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length25
Mean length5.9341951
Min length1

Characters and Unicode

Total characters10100
Distinct characters722
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1698 ?
Unique (%)99.8%

Sample

1st row옛날장터국밥
2nd row산골화로
3rd row숙녀네쿡밥
4th row뚜꺼비집
5th row대성집
ValueCountFrequency (%)
동해점 21
 
1.1%
동해천곡점 10
 
0.5%
천곡점 8
 
0.4%
한식당 4
 
0.2%
본점 4
 
0.2%
동해현진관광호텔 4
 
0.2%
주)이마트동해점 4
 
0.2%
동해 4
 
0.2%
코너 3
 
0.2%
이도점 3
 
0.2%
Other values (1771) 1811
96.5%
2024-04-06T17:35:47.080240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 299
 
3.0%
동 283
 
2.8%
해 270
 
2.7%
식 203
 
2.0%
이 184
 
1.8%
175
 
1.7%
당 168
 
1.7%
리 139
 
1.4%
국 134
 
1.3%
장 113
 
1.1%
Other values (712) 8132
80.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9204
91.1%
Uppercase Letter 191
 
1.9%
Space Separator 175
 
1.7%
Lowercase Letter 157
 
1.6%
Decimal Number 125
 
1.2%
Open Punctuation 87
 
0.9%
Close Punctuation 87
 
0.9%
Other Punctuation 73
 
0.7%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 299
 
3.2%
동 283
 
3.1%
해 270
 
2.9%
식 203
 
2.2%
이 184
 
2.0%
당 168
 
1.8%
리 139
 
1.5%
국 134
 
1.5%
장 113
 
1.2%
가 108
 
1.2%
Other values (646) 7303
79.3%
Uppercase Letter
ValueCountFrequency (%)
A 19
 
9.9%
O 19
 
9.9%
B 16
 
8.4%
S 15
 
7.9%
E 13
 
6.8%
N 11
 
5.8%
C 11
 
5.8%
M 9
 
4.7%
T 9
 
4.7%
L 8
 
4.2%
Other values (14) 61
31.9%
Lowercase Letter
ValueCountFrequency (%)
e 24
15.3%
o 22
14.0%
a 19
12.1%
r 12
7.6%
c 11
 
7.0%
s 10
 
6.4%
f 9
 
5.7%
i 8
 
5.1%
n 7
 
4.5%
l 6
 
3.8%
Other values (9) 29
18.5%
Decimal Number
ValueCountFrequency (%)
2 23
18.4%
1 22
17.6%
3 15
12.0%
9 15
12.0%
8 12
9.6%
0 10
8.0%
4 8
 
6.4%
7 7
 
5.6%
5 7
 
5.6%
6 6
 
4.8%
Other Punctuation
ValueCountFrequency (%)
& 30
41.1%
, 20
27.4%
. 9
 
12.3%
' 6
 
8.2%
· 4
 
5.5%
＆ 1
 
1.4%
? 1
 
1.4%
@ 1
 
1.4%
! 1
 
1.4%
Space Separator
ValueCountFrequency (%)
175
100.0%
Open Punctuation
ValueCountFrequency (%)
( 87
100.0%
Close Punctuation
ValueCountFrequency (%)
) 87
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9189
91.0%
Common 548
 
5.4%
Latin 348
 
3.4%
Han 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 299
 
3.3%
동 283
 
3.1%
해 270
 
2.9%
식 203
 
2.2%
이 184
 
2.0%
당 168
 
1.8%
리 139
 
1.5%
국 134
 
1.5%
장 113
 
1.2%
가 108
 
1.2%
Other values (633) 7288
79.3%
Latin
ValueCountFrequency (%)
e 24
 
6.9%
o 22
 
6.3%
A 19
 
5.5%
a 19
 
5.5%
O 19
 
5.5%
B 16
 
4.6%
S 15
 
4.3%
E 13
 
3.7%
r 12
 
3.4%
N 11
 
3.2%
Other values (33) 178
51.1%
Common
ValueCountFrequency (%)
175
31.9%
( 87
15.9%
) 87
15.9%
& 30
 
5.5%
2 23
 
4.2%
1 22
 
4.0%
, 20
 
3.6%
3 15
 
2.7%
9 15
 
2.7%
8 12
 
2.2%
Other values (13) 62
 
11.3%
Han
ValueCountFrequency (%)
辛 2
13.3%
家 2
13.3%
談 1
 
6.7%
初 1
 
6.7%
心 1
 
6.7%
淸 1
 
6.7%
愛 1
 
6.7%
郡 1
 
6.7%
張 1
 
6.7%
皇 1
 
6.7%
Other values (3) 3
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9189
91.0%
ASCII 891
 
8.8%
CJK 14
 
0.1%
None 5
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 299
 
3.3%
동 283
 
3.1%
해 270
 
2.9%
식 203
 
2.2%
이 184
 
2.0%
당 168
 
1.8%
리 139
 
1.5%
국 134
 
1.5%
장 113
 
1.2%
가 108
 
1.2%
Other values (633) 7288
79.3%
ASCII
ValueCountFrequency (%)
175
19.6%
( 87
 
9.8%
) 87
 
9.8%
& 30
 
3.4%
e 24
 
2.7%
2 23
 
2.6%
1 22
 
2.5%
o 22
 
2.5%
, 20
 
2.2%
A 19
 
2.1%
Other values (54) 382
42.9%
None
ValueCountFrequency (%)
· 4
80.0%
＆ 1
 
20.0%
CJK
ValueCountFrequency (%)
辛 2
14.3%
家 2
14.3%
談 1
7.1%
初 1
7.1%
心 1
7.1%
淸 1
7.1%
愛 1
7.1%
郡 1
7.1%
張 1
7.1%
皇 1
7.1%
Other values (2) 2
14.3%
CJK Compat Ideographs
ValueCountFrequency (%)
冷 1
100.0%

소재지(도로명)
Text

Distinct1595
Distinct (%)94.4%
Missing12
Missing (%)0.7%
Memory size13.4 KiB
2024-04-06T17:35:47.862455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length56
Mean length31.856805
Min length23

Characters and Unicode

Total characters53838
Distinct characters255
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

Unique1516 ?
Unique (%)89.7%

Sample

1st row강원특별자치도 동해시 오일장길 19, 1층 (구미동)
2nd row강원특별자치도 동해시 감추7길 15-1 (천곡동)
3rd row강원특별자치도 동해시 송정로 50 (송정동)
4th row강원특별자치도 동해시 오일장길 17-1 (구미동)
5th row강원특별자치도 동해시 송정로 39 (송정동)
ValueCountFrequency (%)
동해시 1690
 
15.9%
강원특별자치도 1689
 
15.9%
1층 860
 
8.1%
천곡동 567
 
5.3%
발한동 194
 
1.8%
2층 143
 
1.3%
한섬로 141
 
1.3%
효자남길 134
 
1.3%
동회동 131
 
1.2%
발한로 106
 
1.0%
Other values (1103) 4969
46.8%
2024-04-06T17:35:48.879842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8935
 
16.6%
동 3992
 
7.4%
1 2613
 
4.9%
자 1863
 
3.5%
해 1854
 
3.4%
시 1790
 
3.3%
원 1775
 
3.3%
도 1739
 
3.2%
) 1704
 
3.2%
( 1704
 
3.2%
Other values (245) 25869
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31663
58.8%
Space Separator 8935
 
16.6%
Decimal Number 7478
 
13.9%
Close Punctuation 1704
 
3.2%
Open Punctuation 1704
 
3.2%
Other Punctuation 1698
 
3.2%
Dash Punctuation 608
 
1.1%
Uppercase Letter 42
 
0.1%
Math Symbol 5
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3992
 
12.6%
자 1863
 
5.9%
해 1854
 
5.9%
시 1790
 
5.7%
원 1775
 
5.6%
도 1739
 
5.5%
강 1694
 
5.4%
별 1690
 
5.3%
특 1689
 
5.3%
치 1689
 
5.3%
Other values (218) 11888
37.5%
Decimal Number
ValueCountFrequency (%)
1 2613
34.9%
2 1161
15.5%
3 633
 
8.5%
0 628
 
8.4%
4 537
 
7.2%
6 510
 
6.8%
5 495
 
6.6%
7 343
 
4.6%
8 322
 
4.3%
9 236
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
A 22
52.4%
B 13
31.0%
K 1
 
2.4%
D 1
 
2.4%
S 1
 
2.4%
E 1
 
2.4%
H 1
 
2.4%
C 1
 
2.4%
L 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 1696
99.9%
. 2
 
0.1%
Space Separator
ValueCountFrequency (%)
8935
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1704
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1704
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 608
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31663
58.8%
Common 22132
41.1%
Latin 43
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3992
 
12.6%
자 1863
 
5.9%
해 1854
 
5.9%
시 1790
 
5.7%
원 1775
 
5.6%
도 1739
 
5.5%
강 1694
 
5.4%
별 1690
 
5.3%
특 1689
 
5.3%
치 1689
 
5.3%
Other values (218) 11888
37.5%
Common
ValueCountFrequency (%)
8935
40.4%
1 2613
 
11.8%
) 1704
 
7.7%
( 1704
 
7.7%
, 1696
 
7.7%
2 1161
 
5.2%
3 633
 
2.9%
0 628
 
2.8%
- 608
 
2.7%
4 537
 
2.4%
Other values (7) 1913
 
8.6%
Latin
ValueCountFrequency (%)
A 22
51.2%
B 13
30.2%
e 1
 
2.3%
K 1
 
2.3%
D 1
 
2.3%
S 1
 
2.3%
E 1
 
2.3%
H 1
 
2.3%
C 1
 
2.3%
L 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31663
58.8%
ASCII 22175
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8935
40.3%
1 2613
 
11.8%
) 1704
 
7.7%
( 1704
 
7.7%
, 1696
 
7.6%
2 1161
 
5.2%
3 633
 
2.9%
0 628
 
2.8%
- 608
 
2.7%
4 537
 
2.4%
Other values (17) 1956
 
8.8%
Hangul
ValueCountFrequency (%)
동 3992
 
12.6%
자 1863
 
5.9%
해 1854
 
5.9%
시 1790
 
5.7%
원 1775
 
5.6%
도 1739
 
5.5%
강 1694
 
5.4%
별 1690
 
5.3%
특 1689
 
5.3%
치 1689
 
5.3%
Other values (218) 11888
37.5%

소재지(지번)
Text

Distinct1527
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
2024-04-06T17:35:49.729890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length54
Mean length25.836663
Min length16

Characters and Unicode

Total characters43974
Distinct characters244
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

Unique1403 ?
Unique (%)82.4%

Sample

1st row강원특별자치도 동해시 구미동 496-11
2nd row강원특별자치도 동해시 천곡동 995-13
3rd row강원특별자치도 동해시 송정동 841-5
4th row강원특별자치도 동해시 구미동 496-13
5th row강원특별자치도 동해시 북평동 495 -1번지
ValueCountFrequency (%)
동해시 1702
20.5%
강원특별자치도 1701
20.5%
천곡동 569
 
6.9%
1층 346
 
4.2%
발한동 198
 
2.4%
동회동 129
 
1.6%
묵호진동 101
 
1.2%
평릉동 95
 
1.1%
부곡동 94
 
1.1%
효가동 83
 
1.0%
Other values (1553) 3272
39.5%
2024-04-06T17:35:50.718449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8028
18.3%
동 3773
 
8.6%
1 2085
 
4.7%
해 1751
 
4.0%
도 1749
 
4.0%
시 1741
 
4.0%
자 1710
 
3.9%
원 1707
 
3.9%
강 1704
 
3.9%
별 1702
 
3.9%
Other values (234) 18024
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25491
58.0%
Decimal Number 8642
 
19.7%
Space Separator 8028
 
18.3%
Dash Punctuation 1471
 
3.3%
Other Punctuation 245
 
0.6%
Uppercase Letter 35
 
0.1%
Open Punctuation 28
 
0.1%
Close Punctuation 28
 
0.1%
Math Symbol 3
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3773
14.8%
해 1751
 
6.9%
도 1749
 
6.9%
시 1741
 
6.8%
자 1710
 
6.7%
원 1707
 
6.7%
강 1704
 
6.7%
별 1702
 
6.7%
치 1701
 
6.7%
특 1701
 
6.7%
Other values (207) 6252
24.5%
Decimal Number
ValueCountFrequency (%)
1 2085
24.1%
2 1036
12.0%
8 789
 
9.1%
0 785
 
9.1%
5 742
 
8.6%
4 709
 
8.2%
9 676
 
7.8%
3 668
 
7.7%
6 630
 
7.3%
7 522
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
A 19
54.3%
B 11
31.4%
K 1
 
2.9%
C 1
 
2.9%
S 1
 
2.9%
D 1
 
2.9%
E 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 242
98.8%
. 2
 
0.8%
/ 1
 
0.4%
Space Separator
ValueCountFrequency (%)
8028
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1471
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25491
58.0%
Common 18447
41.9%
Latin 36
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3773
14.8%
해 1751
 
6.9%
도 1749
 
6.9%
시 1741
 
6.8%
자 1710
 
6.7%
원 1707
 
6.7%
강 1704
 
6.7%
별 1702
 
6.7%
치 1701
 
6.7%
특 1701
 
6.7%
Other values (207) 6252
24.5%
Common
ValueCountFrequency (%)
8028
43.5%
1 2085
 
11.3%
- 1471
 
8.0%
2 1036
 
5.6%
8 789
 
4.3%
0 785
 
4.3%
5 742
 
4.0%
4 709
 
3.8%
9 676
 
3.7%
3 668
 
3.6%
Other values (9) 1458
 
7.9%
Latin
ValueCountFrequency (%)
A 19
52.8%
B 11
30.6%
K 1
 
2.8%
C 1
 
2.8%
e 1
 
2.8%
S 1
 
2.8%
D 1
 
2.8%
E 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25491
58.0%
ASCII 18481
42.0%
CJK Compat 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8028
43.4%
1 2085
 
11.3%
- 1471
 
8.0%
2 1036
 
5.6%
8 789
 
4.3%
0 785
 
4.2%
5 742
 
4.0%
4 709
 
3.8%
9 676
 
3.7%
3 668
 
3.6%
Other values (16) 1492
 
8.1%
Hangul
ValueCountFrequency (%)
동 3773
14.8%
해 1751
 
6.9%
도 1749
 
6.9%
시 1741
 
6.8%
자 1710
 
6.7%
원 1707
 
6.7%
강 1704
 
6.7%
별 1702
 
6.7%
치 1701
 
6.7%
특 1701
 
6.7%
Other values (207) 6252
24.5%
CJK Compat
ValueCountFrequency (%)
㎡ 2
100.0%

소재지전화
Text

MISSING 

Distinct1329
Distinct (%)99.2%
Missing362
Missing (%)21.3%
Memory size13.4 KiB
2024-04-06T17:35:51.325912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.997761
Min length13

Characters and Unicode

Total characters18757
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

Unique1320 ?
Unique (%)98.5%

Sample

1st row 033- 522-3239
2nd row 033- 531-3746
3rd row 033- 521-0544
4th row 033- 521-5283
5th row 033- 521-5450
ValueCountFrequency (%)
033 1288
41.7%
521 86
 
2.8%
532 66
 
2.1%
522 62
 
2.0%
533 59
 
1.9%
535 47
 
1.5%
534 37
 
1.2%
30
 
1.0%
531 24
 
0.8%
033-532 7
 
0.2%
Other values (1321) 1382
44.8%
2024-04-06T17:35:52.276517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 4388
23.4%
- 2680
14.3%
2662
14.2%
5 2105
11.2%
0 1991
10.6%
2 1423
 
7.6%
1 821
 
4.4%
8 597
 
3.2%
4 559
 
3.0%
9 553
 
2.9%
Other values (2) 978
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13415
71.5%
Dash Punctuation 2680
 
14.3%
Space Separator 2662
 
14.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 4388
32.7%
5 2105
15.7%
0 1991
14.8%
2 1423
 
10.6%
1 821
 
6.1%
8 597
 
4.5%
4 559
 
4.2%
9 553
 
4.1%
7 511
 
3.8%
6 467
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 2680
100.0%
Space Separator
ValueCountFrequency (%)
2662
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18757
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 4388
23.4%
- 2680
14.3%
2662
14.2%
5 2105
11.2%
0 1991
10.6%
2 1423
 
7.6%
1 821
 
4.4%
8 597
 
3.2%
4 559
 
3.0%
9 553
 
2.9%
Other values (2) 978
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18757
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 4388
23.4%
- 2680
14.3%
2662
14.2%
5 2105
11.2%
0 1991
10.6%
2 1423
 
7.6%
1 821
 
4.4%
8 597
 
3.2%
4 559
 
3.0%
9 553
 
2.9%
Other values (2) 978
 
5.2%

업태명
Categorical

Distinct19
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
한식
606 
기타
221 
식육(숯불구이)
193 
호프/통닭
143 
정종/대포집/소주방
131 
Other values (14)
408 

Length

Max length15
Median length2
Mean length3.8683901
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한식
2nd row식육(숯불구이)
3rd row한식
4th row한식
5th row기타

Common Values

ValueCountFrequency (%)
한식 606
35.6%
기타 221
 
13.0%
식육(숯불구이) 193
 
11.3%
호프/통닭 143
 
8.4%
정종/대포집/소주방 131
 
7.7%
횟집 81
 
4.8%
분식 73
 
4.3%
경양식 65
 
3.8%
중국식 61
 
3.6%
통닭(치킨) 29
 
1.7%
Other values (9) 99
 
5.8%

Length

2024-04-06T17:35:52.569564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 606
35.6%
기타 221
 
13.0%
식육(숯불구이 193
 
11.3%
호프/통닭 143
 
8.4%
정종/대포집/소주방 131
 
7.7%
횟집 81
 
4.8%
분식 73
 
4.3%
경양식 65
 
3.8%
중국식 61
 
3.6%
통닭(치킨 29
 
1.7%
Other values (9) 99
 
5.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
2024-03-28
1702 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-28
2nd row2024-03-28
3rd row2024-03-28
4th row2024-03-28
5th row2024-03-28

Common Values

ValueCountFrequency (%)
2024-03-28 1702
100.0%

Length

2024-04-06T17:35:52.831264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:35:53.053337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-28 1702
100.0%

Missing values

2024-04-06T17:35:43.894259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:35:44.211936image/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.
2024-04-06T17:35:44.406959image/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)소재지전화업태명데이터기준일자
0일반음식점1963-10-10옛날장터국밥강원특별자치도 동해시 오일장길 19, 1층 (구미동)강원특별자치도 동해시 구미동 496-11033- 522-3239한식2024-03-28
1일반음식점1971-05-01산골화로강원특별자치도 동해시 감추7길 15-1 (천곡동)강원특별자치도 동해시 천곡동 995-13033- 531-3746식육(숯불구이)2024-03-28
2일반음식점1972-03-17숙녀네쿡밥강원특별자치도 동해시 송정로 50 (송정동)강원특별자치도 동해시 송정동 841-5033- 521-0544한식2024-03-28
3일반음식점1973-03-20뚜꺼비집강원특별자치도 동해시 오일장길 17-1 (구미동)강원특별자치도 동해시 구미동 496-13033- 521-5283한식2024-03-28
4일반음식점1975-02-28대성집<NA>강원특별자치도 동해시 북평동 495 -1번지033- 521-5450기타2024-03-28
5일반음식점1976-07-12맛짱분식<NA>강원특별자치도 동해시 송정동 214 번지033- 522-5322기타2024-03-28
6일반음식점1978-12-19삼송갈비강원특별자치도 동해시 송정로 39 (송정동)강원특별자치도 동해시 송정동 842-3033- 522-4077식육(숯불구이)2024-03-28
7일반음식점1979-11-10맥시칸치킨삼화점강원특별자치도 동해시 삼화2길 17-12 (이로동)강원특별자치도 동해시 이로동 18-29033 -534 -8879기타2024-03-28
8일반음식점1980-09-27하동갈비강원특별자치도 동해시 승지로 3 (부곡동)강원특별자치도 동해시 부곡동 72-10033- 532-8347한식2024-03-28
9일반음식점1981-09-07만강홍<NA>강원특별자치도 동해시 천곡동 813-15 가동 1층(29.94㎡), 나동 2층(52.22㎡)033- 532-5644중국식2024-03-28
업종명인허가일자업소명소재지(도로명)소재지(지번)소재지전화업태명데이터기준일자
1692일반음식점2024-02-14이태리양조장동해평릉점강원특별자치도 동해시 평릉길 51, 1층 (평릉동)강원특별자치도 동해시 평릉동 298<NA>호프/통닭2024-03-28
1693일반음식점2024-02-21오늘샤브강원특별자치도 동해시 효자남길 8-17, 2층 (나안동)강원특별자치도 동해시 나안동 199-1<NA>한식2024-03-28
1694일반음식점2024-03-07배꼽시계강원특별자치도 동해시 동해항2길 2, 1층 (송정동)강원특별자치도 동해시 송정동 849-2<NA>한식2024-03-28
1695일반음식점2024-03-07한근두근강원특별자치도 동해시 청운1길 68, 1층 103호 (나안동)강원특별자치도 동해시 나안동 173-1 103호<NA>식육(숯불구이)2024-03-28
1696일반음식점2024-03-08안골추어탕&불고기강원특별자치도 동해시 이원길 182, 1층 109,110호 (이도동)강원특별자치도 동해시 이도동 169-1<NA>한식2024-03-28
1697일반음식점2024-03-08대패로와강원특별자치도 동해시 동굴로 61-8, 1층 104호 (천곡동)강원특별자치도 동해시 천곡동 1008-17 104호<NA>식육(숯불구이)2024-03-28
1698일반음식점2024-03-13옛날그집강원특별자치도 동해시 감추2길 39, 1층 (천곡동)강원특별자치도 동해시 천곡동 970-37<NA>식육(숯불구이)2024-03-28
1699일반음식점2024-03-22문화팩토리,덕장강원특별자치도 동해시 덕장1길 9, 문화팩토리, 덕장 지하1,지상1,2층 (묵호진동)강원특별자치도 동해시 묵호진동 1-76<NA>기타2024-03-28
1700일반음식점2024-03-26샐러디아에코오리엔스강원특별자치도 동해시 한섬로 111-7, 4층 401-1호 (천곡동)강원특별자치도 동해시 천곡동 863<NA>기타2024-03-28
1701일반음식점2023-03-27거송갈비강원도 동해시 동굴로 125-2, 2동 1층 (천곡동)강원도 동해시 천곡동 919<NA>식육(숯불구이)2024-03-28