Overview

Dataset statistics

Number of variables6
Number of observations25
Missing cells3
Missing cells (%)2.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory53.3 B

Variable types

Text5
DateTime1

Dataset

Description경기도 용인시 착한가격업소 현황입니다. 업소명, 주소, 전화번호, 주요 취급품목, 가격 등의 데이터를 제공합니다. ※ 데이터기준일자 : 2023-06-23
URLhttps://www.data.go.kr/data/15113617/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 3 (12.0%) missing valuesMissing
업소명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:23:30.603772
Analysis finished2023-12-12 18:23:31.177245
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T03:23:31.331170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length4
Mean length4.84
Min length3

Characters and Unicode

Total characters121
Distinct characters81
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row대한민국 세탁1번가
2nd row상갈분식
3rd row한방순대국
4th row몽고반점
5th row배밭갈비
ValueCountFrequency (%)
대한민국 1
 
3.4%
김치찌개 1
 
3.4%
박가네 1
 
3.4%
올레분식 1
 
3.4%
성산고을 1
 
3.4%
부성사 1
 
3.4%
국가대표 1
 
3.4%
수제돈까스 1
 
3.4%
돈호원 1
 
3.4%
헤어톡톡 1
 
3.4%
Other values (19) 19
65.5%
2023-12-13T03:23:31.789732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 5
 
4.1%
고 4
 
3.3%
4
 
3.3%
식 4
 
3.3%
수 3
 
2.5%
만 3
 
2.5%
향 3
 
2.5%
대 3
 
2.5%
을 3
 
2.5%
가 3
 
2.5%
Other values (71) 86
71.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 116
95.9%
Space Separator 4
 
3.3%
Decimal Number 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 5
 
4.3%
고 4
 
3.4%
식 4
 
3.4%
수 3
 
2.6%
만 3
 
2.6%
향 3
 
2.6%
대 3
 
2.6%
을 3
 
2.6%
가 3
 
2.6%
두 2
 
1.7%
Other values (69) 83
71.6%
Space Separator
ValueCountFrequency (%)
4
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 116
95.9%
Common 5
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 5
 
4.3%
고 4
 
3.4%
식 4
 
3.4%
수 3
 
2.6%
만 3
 
2.6%
향 3
 
2.6%
대 3
 
2.6%
을 3
 
2.6%
가 3
 
2.6%
두 2
 
1.7%
Other values (69) 83
71.6%
Common
ValueCountFrequency (%)
4
80.0%
1 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 116
95.9%
ASCII 5
 
4.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 5
 
4.3%
고 4
 
3.4%
식 4
 
3.4%
수 3
 
2.6%
만 3
 
2.6%
향 3
 
2.6%
대 3
 
2.6%
을 3
 
2.6%
가 3
 
2.6%
두 2
 
1.7%
Other values (69) 83
71.6%
ASCII
ValueCountFrequency (%)
4
80.0%
1 1
 
20.0%

주소
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T03:23:32.081846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length22.32
Min length19

Characters and Unicode

Total characters558
Distinct characters59
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row경기도 용인시 수지구 신봉2로 115-58
2nd row경기도 용인시 기흥구 금화로 108번길 34
3rd row경기도 용인시 기흥구 기흥로14번길 6-1
4th row경기도 용인시 기흥구 평촌2로1번길 23
5th row경기도 용인시 수지구 대지로 152
ValueCountFrequency (%)
경기도 25
19.7%
용인시 25
19.7%
처인구 13
 
10.2%
기흥구 7
 
5.5%
수지구 5
 
3.9%
금령로99번길 3
 
2.4%
10 2
 
1.6%
평촌2로1번길 2
 
1.6%
현암로 2
 
1.6%
신봉2로 1
 
0.8%
Other values (42) 42
33.1%
2023-12-13T03:23:32.582898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
102
18.3%
인 38
 
6.8%
기 33
 
5.9%
1 28
 
5.0%
용 26
 
4.7%
경 25
 
4.5%
구 25
 
4.5%
로 25
 
4.5%
시 25
 
4.5%
도 25
 
4.5%
Other values (49) 206
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 341
61.1%
Decimal Number 105
 
18.8%
Space Separator 102
 
18.3%
Dash Punctuation 10
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 38
11.1%
기 33
 
9.7%
용 26
 
7.6%
경 25
 
7.3%
구 25
 
7.3%
로 25
 
7.3%
시 25
 
7.3%
도 25
 
7.3%
길 14
 
4.1%
번 14
 
4.1%
Other values (37) 91
26.7%
Decimal Number
ValueCountFrequency (%)
1 28
26.7%
2 18
17.1%
9 14
13.3%
3 10
 
9.5%
6 8
 
7.6%
5 8
 
7.6%
4 7
 
6.7%
8 7
 
6.7%
0 4
 
3.8%
7 1
 
1.0%
Space Separator
ValueCountFrequency (%)
102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 341
61.1%
Common 217
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 38
11.1%
기 33
 
9.7%
용 26
 
7.6%
경 25
 
7.3%
구 25
 
7.3%
로 25
 
7.3%
시 25
 
7.3%
도 25
 
7.3%
길 14
 
4.1%
번 14
 
4.1%
Other values (37) 91
26.7%
Common
ValueCountFrequency (%)
102
47.0%
1 28
 
12.9%
2 18
 
8.3%
9 14
 
6.5%
3 10
 
4.6%
- 10
 
4.6%
6 8
 
3.7%
5 8
 
3.7%
4 7
 
3.2%
8 7
 
3.2%
Other values (2) 5
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 341
61.1%
ASCII 217
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
102
47.0%
1 28
 
12.9%
2 18
 
8.3%
9 14
 
6.5%
3 10
 
4.6%
- 10
 
4.6%
6 8
 
3.7%
5 8
 
3.7%
4 7
 
3.2%
8 7
 
3.2%
Other values (2) 5
 
2.3%
Hangul
ValueCountFrequency (%)
인 38
11.1%
기 33
 
9.7%
용 26
 
7.6%
경 25
 
7.3%
구 25
 
7.3%
로 25
 
7.3%
시 25
 
7.3%
도 25
 
7.3%
길 14
 
4.1%
번 14
 
4.1%
Other values (37) 91
26.7%

전화번호
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing3
Missing (%)12.0%
Memory size332.0 B
2023-12-13T03:23:32.835722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.090909
Min length12

Characters and Unicode

Total characters266
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

Unique22 ?
Unique (%)100.0%

Sample

1st row031-266-1544
2nd row031-283-5400
3rd row031-283-2728
4th row031-693-5885
5th row031-276-9292
ValueCountFrequency (%)
031-283-5400 1
 
4.5%
031-283-2728 1
 
4.5%
031-332-5121 1
 
4.5%
031-321-1254 1
 
4.5%
031-335-5426 1
 
4.5%
031-333-4772 1
 
4.5%
031-336-0610 1
 
4.5%
031-335-5423 1
 
4.5%
031-335-8196 1
 
4.5%
031-338-4147 1
 
4.5%
Other values (12) 12
54.5%
2023-12-13T03:23:33.225758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 52
19.5%
- 44
16.5%
0 34
12.8%
1 33
12.4%
2 23
8.6%
5 19
 
7.1%
8 16
 
6.0%
6 15
 
5.6%
4 12
 
4.5%
7 10
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 222
83.5%
Dash Punctuation 44
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 52
23.4%
0 34
15.3%
1 33
14.9%
2 23
10.4%
5 19
 
8.6%
8 16
 
7.2%
6 15
 
6.8%
4 12
 
5.4%
7 10
 
4.5%
9 8
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 266
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 52
19.5%
- 44
16.5%
0 34
12.8%
1 33
12.4%
2 23
8.6%
5 19
 
7.1%
8 16
 
6.0%
6 15
 
5.6%
4 12
 
4.5%
7 10
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 266
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 52
19.5%
- 44
16.5%
0 34
12.8%
1 33
12.4%
2 23
8.6%
5 19
 
7.1%
8 16
 
6.0%
6 15
 
5.6%
4 12
 
4.5%
7 10
 
3.8%

주요 취급품목
Text

Distinct21
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T03:23:33.487631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length9.44
Min length2

Characters and Unicode

Total characters236
Distinct characters66
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)72.0%

Sample

1st row신사복 수선, 상하의 세탁
2nd row칼국수, 김밥
3rd row순대국, 물냉면
4th row짜장면, 짬뽕
5th row돼지갈비(150g)
ValueCountFrequency (%)
삼겹살(150g 5
 
9.8%
짜장면 4
 
7.8%
신사복 3
 
5.9%
상하의 3
 
5.9%
세탁 3
 
5.9%
수선 3
 
5.9%
칼국수 3
 
5.9%
김밥 2
 
3.9%
돈까스 2
 
3.9%
비빔밥 2
 
3.9%
Other values (19) 21
41.2%
2023-12-13T03:23:33.979003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
11.0%
, 20
 
8.5%
수 9
 
3.8%
국 8
 
3.4%
g 7
 
3.0%
밥 7
 
3.0%
( 7
 
3.0%
0 7
 
3.0%
1 7
 
3.0%
5 7
 
3.0%
Other values (56) 131
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 148
62.7%
Space Separator 26
 
11.0%
Decimal Number 21
 
8.9%
Other Punctuation 20
 
8.5%
Lowercase Letter 7
 
3.0%
Open Punctuation 7
 
3.0%
Close Punctuation 7
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 9
 
6.1%
국 8
 
5.4%
밥 7
 
4.7%
비 6
 
4.1%
면 6
 
4.1%
삼 5
 
3.4%
겹 5
 
3.4%
살 5
 
3.4%
김 4
 
2.7%
장 4
 
2.7%
Other values (48) 89
60.1%
Decimal Number
ValueCountFrequency (%)
0 7
33.3%
1 7
33.3%
5 7
33.3%
Space Separator
ValueCountFrequency (%)
26
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Lowercase Letter
ValueCountFrequency (%)
g 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 148
62.7%
Common 81
34.3%
Latin 7
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 9
 
6.1%
국 8
 
5.4%
밥 7
 
4.7%
비 6
 
4.1%
면 6
 
4.1%
삼 5
 
3.4%
겹 5
 
3.4%
살 5
 
3.4%
김 4
 
2.7%
장 4
 
2.7%
Other values (48) 89
60.1%
Common
ValueCountFrequency (%)
26
32.1%
, 20
24.7%
( 7
 
8.6%
0 7
 
8.6%
1 7
 
8.6%
5 7
 
8.6%
) 7
 
8.6%
Latin
ValueCountFrequency (%)
g 7
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 148
62.7%
ASCII 88
37.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
29.5%
, 20
22.7%
g 7
 
8.0%
( 7
 
8.0%
0 7
 
8.0%
1 7
 
8.0%
5 7
 
8.0%
) 7
 
8.0%
Hangul
ValueCountFrequency (%)
수 9
 
6.1%
국 8
 
5.4%
밥 7
 
4.7%
비 6
 
4.1%
면 6
 
4.1%
삼 5
 
3.4%
겹 5
 
3.4%
살 5
 
3.4%
김 4
 
2.7%
장 4
 
2.7%
Other values (48) 89
60.1%

가격(원)
Text

Distinct23
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T03:23:34.159594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.04
Min length4

Characters and Unicode

Total characters226
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

Unique21 ?
Unique (%)84.0%

Sample

1st row4000, 8000
2nd row6000, 3000
3rd row8000, 7000
4th row5000, 7000
5th row8500
ValueCountFrequency (%)
7000 10
22.2%
5000 6
13.3%
6000 6
13.3%
8000 5
11.1%
4000 4
 
8.9%
6500 2
 
4.4%
11250 2
 
4.4%
11670 2
 
4.4%
3000 2
 
4.4%
33750 1
 
2.2%
Other values (5) 5
11.1%
2023-12-13T03:23:34.469605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 119
52.7%
, 20
 
8.8%
20
 
8.8%
5 15
 
6.6%
7 15
 
6.6%
6 10
 
4.4%
1 8
 
3.5%
8 6
 
2.7%
4 4
 
1.8%
3 4
 
1.8%
Other values (2) 5
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 186
82.3%
Other Punctuation 20
 
8.8%
Space Separator 20
 
8.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 119
64.0%
5 15
 
8.1%
7 15
 
8.1%
6 10
 
5.4%
1 8
 
4.3%
8 6
 
3.2%
4 4
 
2.2%
3 4
 
2.2%
2 3
 
1.6%
9 2
 
1.1%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 226
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 119
52.7%
, 20
 
8.8%
20
 
8.8%
5 15
 
6.6%
7 15
 
6.6%
6 10
 
4.4%
1 8
 
3.5%
8 6
 
2.7%
4 4
 
1.8%
3 4
 
1.8%
Other values (2) 5
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 226
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 119
52.7%
, 20
 
8.8%
20
 
8.8%
5 15
 
6.6%
7 15
 
6.6%
6 10
 
4.4%
1 8
 
3.5%
8 6
 
2.7%
4 4
 
1.8%
3 4
 
1.8%
Other values (2) 5
 
2.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2023-06-23 00:00:00
Maximum2023-06-23 00:00:00
2023-12-13T03:23:34.859248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:23:34.949284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-13T03:23:35.016779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명주소전화번호주요 취급품목가격(원)
업소명1.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000
주요 취급품목1.0001.0001.0001.0000.975
가격(원)1.0001.0001.0000.9751.000

Missing values

2023-12-13T03:23:30.989838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:23:31.124560image/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

업소명주소전화번호주요 취급품목가격(원)데이터기준일자
0대한민국 세탁1번가경기도 용인시 수지구 신봉2로 115-58031-266-1544신사복 수선, 상하의 세탁4000, 80002023-06-23
1상갈분식경기도 용인시 기흥구 금화로 108번길 34031-283-5400칼국수, 김밥6000, 30002023-06-23
2한방순대국경기도 용인시 기흥구 기흥로14번길 6-1031-283-2728순대국, 물냉면8000, 70002023-06-23
3몽고반점경기도 용인시 기흥구 평촌2로1번길 23031-693-5885짜장면, 짬뽕5000, 70002023-06-23
4배밭갈비경기도 용인시 수지구 대지로 152031-276-9292돼지갈비(150g)85002023-06-23
5만월김밥경기도 용인시 수지구 현암로 165031-265-6300돈까스, 비빔밥7500, 70002023-06-23
6고향손칼국수경기도 용인시 수지구 현암로 159070-4220-6086칼국수, 수제비6500, 70002023-06-23
7정주만두경기도 용인시 수지구 풍덕천로129번길 8031-263-4112칼국수, 비빔밥6500, 70002023-06-23
8쌈채마을경기도 용인시 기흥구 평촌2로1번길 32-1031-8005-9339삼겹살(150g), 쌈밥11670, 90002023-06-23
9팔선생경기도 용인시 기흥구 죽전로43번길11-25031-898-3887짜장면, 새우볶음밥6000, 70002023-06-23
업소명주소전화번호주요 취급품목가격(원)데이터기준일자
15둥지만두경기도 용인시 처인구 양지면 양지로143번길8031-338-4147만두국, 냉면6000, 60002023-06-23
16중앙식당경기도 용인시 처인구 금령로99번길 9031-335-8196한식뷔페70002023-06-23
17향리반점경기도 용인시 처인구 용문로 198-1<NA>짜장면, 짬뽕4000, 50002023-06-23
18헤어톡톡경기도 용인시 처인구 금령로 129031-335-5423파마250002023-06-23
19돈호원경기도 용인시 처인구 금학로235번길 10031-336-0610갈비탕80002023-06-23
20수제돈까스 국가대표경기도 용인시 처인구 이동면 백옥대로 642031-333-4772돈까스, 우동8000, 60002023-06-23
21부성사경기도 용인시 처인구 금령로99번길 6-8031-335-5426신사복 수선, 상하의 세탁4000, 70002023-06-23
22성산고을경기도 용인시 처인구 명지로 19-5031-321-1254삼겹살(150g), 김치찌개9750, 70002023-06-23
23올레분식경기도 용인시 처인구 금령로27번길 6031-332-5121김밥, 국물떡볶이3000, 50002023-06-23
24박가네 국수경기도 용인시 처인구 금령로99번길 6-3031-335-5131잔치국수, 비빔국수5000, 50002023-06-23