Overview

Dataset statistics

Number of variables5
Number of observations1100
Missing cells288
Missing cells (%)5.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory43.1 KiB
Average record size in memory40.1 B

Variable types

Categorical2
Text3

Dataset

Description충청남도 부여군 휴게음식점 현황에 대한 정보입니다.(업태, 업소명, 도로명주소, 소재지전화번호, 데이터기준일자 등)
Author충청남도 부여군
URLhttps://www.data.go.kr/data/3071201/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
소재지전화 has 288 (26.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 21:08:15.761689
Analysis finished2023-12-12 21:08:16.372388
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Categorical

Distinct34
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
한식
455 
호프/통닭
100 
커피숍
82 
기타
68 
분식
49 
Other values (29)
346 

Length

Max length15
Median length2
Mean length3.1745455
Min length2

Unique

Unique10 ?
Unique (%)0.9%

Sample

1st row한식
2nd row한식
3rd row호프/통닭
4th row한식
5th row한식

Common Values

ValueCountFrequency (%)
한식 455
41.4%
호프/통닭 100
 
9.1%
커피숍 82
 
7.5%
기타 68
 
6.2%
분식 49
 
4.5%
다방 47
 
4.3%
식육(숯불구이) 42
 
3.8%
중국식 41
 
3.7%
편의점 39
 
3.5%
통닭(치킨) 23
 
2.1%
Other values (24) 154
 
14.0%

Length

2023-12-13T06:08:16.457050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 455
40.6%
호프/통닭 100
 
8.9%
기타 89
 
7.9%
커피숍 82
 
7.3%
분식 49
 
4.4%
다방 47
 
4.2%
식육(숯불구이 42
 
3.7%
중국식 41
 
3.7%
편의점 39
 
3.5%
통닭(치킨 23
 
2.1%
Other values (24) 154
 
13.7%

업소명
Text

Distinct1098
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
2023-12-13T06:08:16.704544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length23
Mean length5.9963636
Min length1

Characters and Unicode

Total characters6596
Distinct characters619
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

Unique1096 ?
Unique (%)99.6%

Sample

1st row현금이네 상차림
2nd row백제의집
3rd row단풍
4th row청주본가부여점
5th row나루터식당
ValueCountFrequency (%)
부여점 36
 
2.6%
세븐일레븐 12
 
0.9%
씨유 10
 
0.7%
충남부여점 9
 
0.6%
카페 8
 
0.6%
부여 7
 
0.5%
식당 6
 
0.4%
롯데 4
 
0.3%
스카이힐 4
 
0.3%
규암점 3
 
0.2%
Other values (1261) 1308
93.0%
2023-12-13T06:08:17.133194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
307
 
4.7%
부 179
 
2.7%
여 160
 
2.4%
점 157
 
2.4%
식 139
 
2.1%
당 120
 
1.8%
이 107
 
1.6%
가 83
 
1.3%
리 73
 
1.1%
장 64
 
1.0%
Other values (609) 5207
78.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5833
88.4%
Space Separator 307
 
4.7%
Uppercase Letter 136
 
2.1%
Decimal Number 105
 
1.6%
Lowercase Letter 84
 
1.3%
Open Punctuation 52
 
0.8%
Close Punctuation 52
 
0.8%
Other Punctuation 22
 
0.3%
Dash Punctuation 3
 
< 0.1%
Connector Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 179
 
3.1%
여 160
 
2.7%
점 157
 
2.7%
식 139
 
2.4%
당 120
 
2.1%
이 107
 
1.8%
가 83
 
1.4%
리 73
 
1.3%
장 64
 
1.1%
다 64
 
1.1%
Other values (543) 4687
80.4%
Uppercase Letter
ValueCountFrequency (%)
C 17
12.5%
A 14
 
10.3%
B 14
 
10.3%
G 11
 
8.1%
S 10
 
7.4%
H 10
 
7.4%
O 8
 
5.9%
I 6
 
4.4%
M 6
 
4.4%
N 5
 
3.7%
Other values (14) 35
25.7%
Lowercase Letter
ValueCountFrequency (%)
e 14
16.7%
a 12
14.3%
f 8
9.5%
o 7
8.3%
c 7
8.3%
h 5
 
6.0%
y 4
 
4.8%
u 4
 
4.8%
n 4
 
4.8%
t 4
 
4.8%
Other values (9) 15
17.9%
Decimal Number
ValueCountFrequency (%)
2 23
21.9%
5 23
21.9%
1 13
12.4%
0 9
 
8.6%
6 9
 
8.6%
3 8
 
7.6%
4 8
 
7.6%
9 7
 
6.7%
8 3
 
2.9%
7 2
 
1.9%
Other Punctuation
ValueCountFrequency (%)
& 10
45.5%
, 4
 
18.2%
' 2
 
9.1%
# 2
 
9.1%
! 1
 
4.5%
＆ 1
 
4.5%
· 1
 
4.5%
. 1
 
4.5%
Space Separator
ValueCountFrequency (%)
307
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5830
88.4%
Common 543
 
8.2%
Latin 220
 
3.3%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 179
 
3.1%
여 160
 
2.7%
점 157
 
2.7%
식 139
 
2.4%
당 120
 
2.1%
이 107
 
1.8%
가 83
 
1.4%
리 73
 
1.3%
장 64
 
1.1%
다 64
 
1.1%
Other values (540) 4684
80.3%
Latin
ValueCountFrequency (%)
C 17
 
7.7%
A 14
 
6.4%
B 14
 
6.4%
e 14
 
6.4%
a 12
 
5.5%
G 11
 
5.0%
S 10
 
4.5%
H 10
 
4.5%
f 8
 
3.6%
O 8
 
3.6%
Other values (33) 102
46.4%
Common
ValueCountFrequency (%)
307
56.5%
( 52
 
9.6%
) 52
 
9.6%
2 23
 
4.2%
5 23
 
4.2%
1 13
 
2.4%
& 10
 
1.8%
0 9
 
1.7%
6 9
 
1.7%
3 8
 
1.5%
Other values (13) 37
 
6.8%
Han
ValueCountFrequency (%)
一 1
33.3%
品 1
33.3%
家 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5830
88.4%
ASCII 761
 
11.5%
CJK 3
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
307
40.3%
( 52
 
6.8%
) 52
 
6.8%
2 23
 
3.0%
5 23
 
3.0%
C 17
 
2.2%
A 14
 
1.8%
B 14
 
1.8%
e 14
 
1.8%
1 13
 
1.7%
Other values (54) 232
30.5%
Hangul
ValueCountFrequency (%)
부 179
 
3.1%
여 160
 
2.7%
점 157
 
2.7%
식 139
 
2.4%
당 120
 
2.1%
이 107
 
1.8%
가 83
 
1.4%
리 73
 
1.3%
장 64
 
1.1%
다 64
 
1.1%
Other values (540) 4684
80.3%
None
ValueCountFrequency (%)
＆ 1
50.0%
· 1
50.0%
CJK
ValueCountFrequency (%)
一 1
33.3%
品 1
33.3%
家 1
33.3%

소재지(도로명)
Text

Distinct972
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
2023-12-13T06:08:17.444445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length45
Mean length22.473636
Min length4

Characters and Unicode

Total characters24721
Distinct characters200
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

Unique886 ?
Unique (%)80.5%

Sample

1st row충청남도 부여군 부여읍 금성로 25
2nd row충청남도 부여군 부여읍 성왕로 248
3rd row충청남도 부여군 부여읍 석탑로 68
4th row충청남도 부여군 부여읍 석탑로 71-2
5th row충청남도 부여군 부여읍 나루터로 37
ValueCountFrequency (%)
부여군 1090
18.8%
충청남도 1090
18.8%
부여읍 562
 
9.7%
규암면 174
 
3.0%
1층 104
 
1.8%
홍산면 77
 
1.3%
성왕로 62
 
1.1%
은산면 60
 
1.0%
외산면 47
 
0.8%
석탑로 44
 
0.8%
Other values (769) 2484
42.9%
2023-12-13T06:08:17.925555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4694
19.0%
부 1730
 
7.0%
여 1692
 
6.8%
충 1192
 
4.8%
도 1142
 
4.6%
남 1138
 
4.6%
청 1093
 
4.4%
군 1092
 
4.4%
로 1087
 
4.4%
1 870
 
3.5%
Other values (190) 8991
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15674
63.4%
Space Separator 4694
 
19.0%
Decimal Number 3697
 
15.0%
Dash Punctuation 301
 
1.2%
Other Punctuation 205
 
0.8%
Open Punctuation 48
 
0.2%
Close Punctuation 48
 
0.2%
Uppercase Letter 41
 
0.2%
Math Symbol 13
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1730
 
11.0%
여 1692
 
10.8%
충 1192
 
7.6%
도 1142
 
7.3%
남 1138
 
7.3%
청 1093
 
7.0%
군 1092
 
7.0%
로 1087
 
6.9%
읍 562
 
3.6%
면 529
 
3.4%
Other values (167) 4417
28.2%
Decimal Number
ValueCountFrequency (%)
1 870
23.5%
2 487
13.2%
3 443
12.0%
7 328
 
8.9%
4 307
 
8.3%
5 286
 
7.7%
0 274
 
7.4%
8 269
 
7.3%
6 260
 
7.0%
9 173
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
A 20
48.8%
B 10
24.4%
C 8
 
19.5%
D 1
 
2.4%
E 1
 
2.4%
G 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 204
99.5%
. 1
 
0.5%
Space Separator
ValueCountFrequency (%)
4694
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 301
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15674
63.4%
Common 9006
36.4%
Latin 41
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1730
 
11.0%
여 1692
 
10.8%
충 1192
 
7.6%
도 1142
 
7.3%
남 1138
 
7.3%
청 1093
 
7.0%
군 1092
 
7.0%
로 1087
 
6.9%
읍 562
 
3.6%
면 529
 
3.4%
Other values (167) 4417
28.2%
Common
ValueCountFrequency (%)
4694
52.1%
1 870
 
9.7%
2 487
 
5.4%
3 443
 
4.9%
7 328
 
3.6%
4 307
 
3.4%
- 301
 
3.3%
5 286
 
3.2%
0 274
 
3.0%
8 269
 
3.0%
Other values (7) 747
 
8.3%
Latin
ValueCountFrequency (%)
A 20
48.8%
B 10
24.4%
C 8
 
19.5%
D 1
 
2.4%
E 1
 
2.4%
G 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15674
63.4%
ASCII 9047
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4694
51.9%
1 870
 
9.6%
2 487
 
5.4%
3 443
 
4.9%
7 328
 
3.6%
4 307
 
3.4%
- 301
 
3.3%
5 286
 
3.2%
0 274
 
3.0%
8 269
 
3.0%
Other values (13) 788
 
8.7%
Hangul
ValueCountFrequency (%)
부 1730
 
11.0%
여 1692
 
10.8%
충 1192
 
7.6%
도 1142
 
7.3%
남 1138
 
7.3%
청 1093
 
7.0%
군 1092
 
7.0%
로 1087
 
6.9%
읍 562
 
3.6%
면 529
 
3.4%
Other values (167) 4417
28.2%

소재지전화
Text

MISSING 

Distinct787
Distinct (%)96.9%
Missing288
Missing (%)26.2%
Memory size8.7 KiB
2023-12-13T06:08:18.226607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.007389
Min length12

Characters and Unicode

Total characters9750
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

Unique766 ?
Unique (%)94.3%

Sample

1st row041-833-0512
2nd row041-834-1212
3rd row041-833-0988
4th row041-835-2103
5th row041-835-3155
ValueCountFrequency (%)
041-834-5600 4
 
0.5%
041-833-5400 4
 
0.5%
041-836-4847 2
 
0.2%
041-836-6644 2
 
0.2%
041-832-7666 2
 
0.2%
041-832-5424 2
 
0.2%
041-837-0081 2
 
0.2%
041-834-4757 2
 
0.2%
041-837-5727 2
 
0.2%
041-835-6615 2
 
0.2%
Other values (777) 788
97.0%
2023-12-13T06:08:18.707666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1624
16.7%
0 1296
13.3%
3 1251
12.8%
4 1191
12.2%
8 1124
11.5%
1 1120
11.5%
5 511
 
5.2%
2 487
 
5.0%
6 444
 
4.6%
7 382
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8126
83.3%
Dash Punctuation 1624
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1296
15.9%
3 1251
15.4%
4 1191
14.7%
8 1124
13.8%
1 1120
13.8%
5 511
 
6.3%
2 487
 
6.0%
6 444
 
5.5%
7 382
 
4.7%
9 320
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 1624
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9750
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1624
16.7%
0 1296
13.3%
3 1251
12.8%
4 1191
12.2%
8 1124
11.5%
1 1120
11.5%
5 511
 
5.2%
2 487
 
5.0%
6 444
 
4.6%
7 382
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9750
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1624
16.7%
0 1296
13.3%
3 1251
12.8%
4 1191
12.2%
8 1124
11.5%
1 1120
11.5%
5 511
 
5.2%
2 487
 
5.0%
6 444
 
4.6%
7 382
 
3.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
2023-10-31
1100 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-31
2nd row2023-10-31
3rd row2023-10-31
4th row2023-10-31
5th row2023-10-31

Common Values

ValueCountFrequency (%)
2023-10-31 1100
100.0%

Length

2023-12-13T06:08:18.888352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:08:19.008284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-31 1100
100.0%

Missing values

2023-12-13T06:08:16.237681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:08:16.330451image/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.

Sample

업체명업소명소재지(도로명)소재지전화데이터기준일자
0한식현금이네 상차림충청남도 부여군 부여읍 금성로 25041-833-05122023-10-31
1한식백제의집충청남도 부여군 부여읍 성왕로 248041-834-12122023-10-31
2호프/통닭단풍충청남도 부여군 부여읍 석탑로 68041-833-09882023-10-31
3한식청주본가부여점충청남도 부여군 부여읍 석탑로 71-2041-835-21032023-10-31
4한식나루터식당충청남도 부여군 부여읍 나루터로 37041-835-31552023-10-31
5일식장어촌충청남도 부여군 부여읍 궁남로 6-1041-834-66142023-10-31
6한식윤주네충청남도 부여군 석성면 증산로 54-1041-836-62022023-10-31
7한식용궁집충청남도 부여군 은산면 충의로673번길 5-35041-832-62722023-10-31
8한식노다지 감자탕충청남도 부여군 은산면 충의로676번길 4041-832-60462023-10-31
9호프/통닭시골통닭충청남도 부여군 부여읍 중앙로5번길 14-9041-835-35222023-10-31
업체명업소명소재지(도로명)소재지전화데이터기준일자
1090푸드트럭널부르는트럭푸드트럭<NA>2023-10-31
1091푸드트럭탕후루와소프트콘푸드트럭<NA>2023-10-31
1092아이스크림아이스플래닛충청남도 부여군 부여읍 석탑로 45-1, 1층<NA>2023-10-31
1093기타 휴게음식점황제탕후루 부여점충청남도 부여군 부여읍 석탑로 70<NA>2023-10-31
1094푸드트럭에이스푸드푸드트럭<NA>2023-10-31
1095기타 휴게음식점지에스25(GS25)부여임천오복점충청남도 부여군 임천면 성흥로 178<NA>2023-10-31
1096커피숍동리카페충청남도 부여군 부여읍 금성로 190<NA>2023-10-31
1097커피숍카페로그인충청남도 부여군 규암면 왕흥로155번길 81-20<NA>2023-10-31
1098기타 휴게음식점달달붕어충청남도 부여군 부여읍 의열로 21<NA>2023-10-31
1099다방경희다방충청남도 부여군 외산면 외산로 87-1<NA>2023-10-31