Overview

Dataset statistics

Number of variables4
Number of observations307
Missing cells45
Missing cells (%)3.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.7 KiB
Average record size in memory32.4 B

Variable types

Categorical1
Text3

Dataset

Description전북특별자치도 장수군 위치한 일반음식점 현황(업종명, 업소명, 소재지, 소재지전화)에 대한 데이터를 제공하고자 합니다
Author전북특별자치도 장수군
URLhttps://www.data.go.kr/data/15117026/fileData.do

Alerts

업종명 has constant value ""Constant
소재지전화 has 45 (14.7%) missing valuesMissing

Reproduction

Analysis started2024-03-30 09:32:25.193806
Analysis finished2024-03-30 09:32:26.158703
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
일반음식점
307 

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 307
100.0%

Length

2024-03-30T09:32:26.367706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T09:32:26.561330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 307
100.0%

업소명
Text

Distinct306
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-03-30T09:32:26.958705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length5.9576547
Min length1

Characters and Unicode

Total characters1829
Distinct characters365
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique305 ?
Unique (%)99.3%

Sample

1st row금성식당
2nd row우성회관
3rd row교촌식당
4th row가야성
5th row오복식당
ValueCountFrequency (%)
장수점 8
 
1.7%
카페 8
 
1.7%
장수 5
 
1.1%
중화요리 4
 
0.9%
식당 3
 
0.6%
비어 3
 
0.6%
닭 2
 
0.4%
갈비 2
 
0.4%
장수장계점 2
 
0.4%
한마리 2
 
0.4%
Other values (407) 425
91.6%
2024-03-30T09:32:27.620608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
157
 
8.6%
장 71
 
3.9%
식 52
 
2.8%
수 49
 
2.7%
당 43
 
2.4%
가 30
 
1.6%
리 25
 
1.4%
점 25
 
1.4%
산 24
 
1.3%
이 20
 
1.1%
Other values (355) 1333
72.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1589
86.9%
Space Separator 157
 
8.6%
Uppercase Letter 23
 
1.3%
Close Punctuation 16
 
0.9%
Open Punctuation 15
 
0.8%
Lowercase Letter 10
 
0.5%
Decimal Number 10
 
0.5%
Other Punctuation 9
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 71
 
4.5%
식 52
 
3.3%
수 49
 
3.1%
당 43
 
2.7%
가 30
 
1.9%
리 25
 
1.6%
점 25
 
1.6%
산 24
 
1.5%
이 20
 
1.3%
마 18
 
1.1%
Other values (328) 1232
77.5%
Uppercase Letter
ValueCountFrequency (%)
C 7
30.4%
B 3
13.0%
O 3
13.0%
F 2
 
8.7%
L 2
 
8.7%
E 2
 
8.7%
H 2
 
8.7%
X 1
 
4.3%
N 1
 
4.3%
Decimal Number
ValueCountFrequency (%)
7 2
20.0%
5 2
20.0%
8 2
20.0%
3 2
20.0%
1 1
10.0%
4 1
10.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
20.0%
a 2
20.0%
f 2
20.0%
u 2
20.0%
o 2
20.0%
Other Punctuation
ValueCountFrequency (%)
& 5
55.6%
. 2
 
22.2%
? 1
 
11.1%
, 1
 
11.1%
Space Separator
ValueCountFrequency (%)
157
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1589
86.9%
Common 207
 
11.3%
Latin 33
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 71
 
4.5%
식 52
 
3.3%
수 49
 
3.1%
당 43
 
2.7%
가 30
 
1.9%
리 25
 
1.6%
점 25
 
1.6%
산 24
 
1.5%
이 20
 
1.3%
마 18
 
1.1%
Other values (328) 1232
77.5%
Latin
ValueCountFrequency (%)
C 7
21.2%
B 3
9.1%
O 3
9.1%
e 2
 
6.1%
F 2
 
6.1%
a 2
 
6.1%
f 2
 
6.1%
L 2
 
6.1%
u 2
 
6.1%
o 2
 
6.1%
Other values (4) 6
18.2%
Common
ValueCountFrequency (%)
157
75.8%
) 16
 
7.7%
( 15
 
7.2%
& 5
 
2.4%
7 2
 
1.0%
. 2
 
1.0%
5 2
 
1.0%
8 2
 
1.0%
3 2
 
1.0%
1 1
 
0.5%
Other values (3) 3
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1589
86.9%
ASCII 240
 
13.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
157
65.4%
) 16
 
6.7%
( 15
 
6.2%
C 7
 
2.9%
& 5
 
2.1%
B 3
 
1.2%
O 3
 
1.2%
e 2
 
0.8%
F 2
 
0.8%
a 2
 
0.8%
Other values (17) 28
 
11.7%
Hangul
ValueCountFrequency (%)
장 71
 
4.5%
식 52
 
3.3%
수 49
 
3.1%
당 43
 
2.7%
가 30
 
1.9%
리 25
 
1.6%
점 25
 
1.6%
산 24
 
1.5%
이 20
 
1.3%
마 18
 
1.1%
Other values (328) 1232
77.5%

소재지(도로명)
Text

Distinct278
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-03-30T09:32:28.157495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length40
Mean length24.628664
Min length21

Characters and Unicode

Total characters7561
Distinct characters154
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique256 ?
Unique (%)83.4%

Sample

1st row전북특별자치도 장수군 번암면 장수로 494
2nd row전북특별자치도 장수군 계남면 한거2길 11-5
3rd row전북특별자치도 장수군 장수읍 교촌로 33-2
4th row전북특별자치도 장수군 장수읍 장천로 187
5th row전북특별자치도 장수군 장수읍 시장통길 6
ValueCountFrequency (%)
전북특별자치도 307
19.2%
장수군 307
19.2%
장수읍 114
 
7.1%
장계면 93
 
5.8%
장무로 31
 
1.9%
장수로 30
 
1.9%
번암면 27
 
1.7%
계남면 26
 
1.6%
한들로 26
 
1.6%
장천로 25
 
1.6%
Other values (333) 616
38.5%
2024-03-30T09:32:29.158246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1295
17.1%
장 681
 
9.0%
수 474
 
6.3%
북 337
 
4.5%
군 314
 
4.2%
도 308
 
4.1%
전 308
 
4.1%
치 307
 
4.1%
자 307
 
4.1%
별 307
 
4.1%
Other values (144) 2923
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5189
68.6%
Space Separator 1295
 
17.1%
Decimal Number 939
 
12.4%
Dash Punctuation 85
 
1.1%
Other Punctuation 38
 
0.5%
Uppercase Letter 7
 
0.1%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 681
13.1%
수 474
 
9.1%
북 337
 
6.5%
군 314
 
6.1%
도 308
 
5.9%
전 308
 
5.9%
치 307
 
5.9%
자 307
 
5.9%
별 307
 
5.9%
특 307
 
5.9%
Other values (125) 1539
29.7%
Decimal Number
ValueCountFrequency (%)
1 218
23.2%
2 143
15.2%
3 110
11.7%
0 79
 
8.4%
4 79
 
8.4%
6 73
 
7.8%
5 66
 
7.0%
8 60
 
6.4%
9 57
 
6.1%
7 54
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
C 3
42.9%
D 2
28.6%
B 1
 
14.3%
A 1
 
14.3%
Space Separator
ValueCountFrequency (%)
1295
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 85
100.0%
Other Punctuation
ValueCountFrequency (%)
, 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5189
68.6%
Common 2365
31.3%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 681
13.1%
수 474
 
9.1%
북 337
 
6.5%
군 314
 
6.1%
도 308
 
5.9%
전 308
 
5.9%
치 307
 
5.9%
자 307
 
5.9%
별 307
 
5.9%
특 307
 
5.9%
Other values (125) 1539
29.7%
Common
ValueCountFrequency (%)
1295
54.8%
1 218
 
9.2%
2 143
 
6.0%
3 110
 
4.7%
- 85
 
3.6%
0 79
 
3.3%
4 79
 
3.3%
6 73
 
3.1%
5 66
 
2.8%
8 60
 
2.5%
Other values (5) 157
 
6.6%
Latin
ValueCountFrequency (%)
C 3
42.9%
D 2
28.6%
B 1
 
14.3%
A 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5189
68.6%
ASCII 2372
31.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1295
54.6%
1 218
 
9.2%
2 143
 
6.0%
3 110
 
4.6%
- 85
 
3.6%
0 79
 
3.3%
4 79
 
3.3%
6 73
 
3.1%
5 66
 
2.8%
8 60
 
2.5%
Other values (9) 164
 
6.9%
Hangul
ValueCountFrequency (%)
장 681
13.1%
수 474
 
9.1%
북 337
 
6.5%
군 314
 
6.1%
도 308
 
5.9%
전 308
 
5.9%
치 307
 
5.9%
자 307
 
5.9%
별 307
 
5.9%
특 307
 
5.9%
Other values (125) 1539
29.7%

소재지전화
Text

MISSING 

Distinct258
Distinct (%)98.5%
Missing45
Missing (%)14.7%
Memory size2.5 KiB
2024-03-30T09:32:29.712095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.053435
Min length12

Characters and Unicode

Total characters3158
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

Unique255 ?
Unique (%)97.3%

Sample

1st row063-353-5638
2nd row063-352-1083
3rd row063-351-2330
4th row063-352-7080
5th row063-351-2205
ValueCountFrequency (%)
063-352-0160 3
 
1.1%
063-352-1989 2
 
0.8%
063-351-9990 2
 
0.8%
063-353-3248 1
 
0.4%
063-353-6723 1
 
0.4%
063-351-5800 1
 
0.4%
063-353-8565 1
 
0.4%
063-351-0054 1
 
0.4%
063-353-1187 1
 
0.4%
063-351-3171 1
 
0.4%
Other values (248) 248
94.7%
2024-03-30T09:32:30.677548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 695
22.0%
- 524
16.6%
0 432
13.7%
5 366
11.6%
6 347
11.0%
1 222
 
7.0%
2 197
 
6.2%
7 112
 
3.5%
8 102
 
3.2%
9 90
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2634
83.4%
Dash Punctuation 524
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 695
26.4%
0 432
16.4%
5 366
13.9%
6 347
13.2%
1 222
 
8.4%
2 197
 
7.5%
7 112
 
4.3%
8 102
 
3.9%
9 90
 
3.4%
4 71
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 524
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3158
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 695
22.0%
- 524
16.6%
0 432
13.7%
5 366
11.6%
6 347
11.0%
1 222
 
7.0%
2 197
 
6.2%
7 112
 
3.5%
8 102
 
3.2%
9 90
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3158
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 695
22.0%
- 524
16.6%
0 432
13.7%
5 366
11.6%
6 347
11.0%
1 222
 
7.0%
2 197
 
6.2%
7 112
 
3.5%
8 102
 
3.2%
9 90
 
2.8%

Missing values

2024-03-30T09:32:25.864327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-30T09:32:26.097542image/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

업종명업소명소재지(도로명)소재지전화
0일반음식점금성식당전북특별자치도 장수군 번암면 장수로 494063-353-5638
1일반음식점우성회관전북특별자치도 장수군 계남면 한거2길 11-5063-352-1083
2일반음식점교촌식당전북특별자치도 장수군 장수읍 교촌로 33-2063-351-2330
3일반음식점가야성전북특별자치도 장수군 장수읍 장천로 187063-352-7080
4일반음식점오복식당전북특별자치도 장수군 장수읍 시장통길 6063-351-2205
5일반음식점청포식당전북특별자치도 장수군 계북면 장무로 967063-352-1318
6일반음식점주장골목식당전북특별자치도 장수군 장계면 한들3길 6-1063-351-1656
7일반음식점거창식당전북특별자치도 장수군 장계면 한들로 109063-352-0466
8일반음식점진시황 중화요리전북특별자치도 장수군 장수읍 장수북동1길 4<NA>
9일반음식점대우식당전북특별자치도 장수군 장수읍 장수북동길 13063-351-2576
업종명업소명소재지(도로명)소재지전화
297일반음식점사거리 카페전북특별자치도 장수군 장계면 한들로 99, 2층063-351-2234
298일반음식점Le Caf? CouCou(르카페 꾸꾸)전북특별자치도 장수군 장수읍 시장로 31-2, 101호<NA>
299일반음식점현대옥 장수군청점전북특별자치도 장수군 장수읍 교촌로 21063-353-3248
300일반음식점송큰치킨전북특별자치도 장수군 계북면 장무로 975<NA>
301일반음식점솔카페전북특별자치도 장수군 장계면 북동1로 41-1<NA>
302일반음식점뚱자네전북특별자치도 장수군 장수읍 장천로 220, 102호<NA>
303일반음식점라화쿵부전북특별자치도 장수군 장수읍 방촌길 3<NA>
304일반음식점태산마라탕전북특별자치도 장수군 장수읍 신천로 31, 2호063-352-5657
305일반음식점장수한우특별시 사업단전북특별자치도 장수군 장수읍 중동길 7063-351-8885
306일반음식점어로전북특별자치도 장수군 장계면 신동서로 3<NA>