Overview

Dataset statistics

Number of variables6
Number of observations44
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory53.0 B

Variable types

Numeric2
Text4

Dataset

Description전라남도 광양시의 착한가격 모범업소 정보(업소명, 주소, 연락처, 대표음식, 가격 등)에 대한 정보를 전 국민에게 무료로 제공
URLhttps://www.data.go.kr/data/3079571/fileData.do

Alerts

연번 has unique valuesUnique
업소명 has unique valuesUnique
주소 has unique valuesUnique
가격 has 1 (2.3%) zerosZeros

Reproduction

Analysis started2023-12-12 09:22:01.606872
Analysis finished2023-12-12 09:22:02.815470
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.5
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T18:22:02.922075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.15
Q111.75
median22.5
Q333.25
95-th percentile41.85
Maximum44
Range43
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation12.845233
Coefficient of variation (CV)0.57089923
Kurtosis-1.2
Mean22.5
Median Absolute Deviation (MAD)11
Skewness0
Sum990
Variance165
MonotonicityStrictly increasing
2023-12-12T18:22:03.066227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
1 1
 
2.3%
24 1
 
2.3%
26 1
 
2.3%
27 1
 
2.3%
28 1
 
2.3%
29 1
 
2.3%
30 1
 
2.3%
31 1
 
2.3%
32 1
 
2.3%
33 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
1 1
2.3%
2 1
2.3%
3 1
2.3%
4 1
2.3%
5 1
2.3%
6 1
2.3%
7 1
2.3%
8 1
2.3%
9 1
2.3%
10 1
2.3%
ValueCountFrequency (%)
44 1
2.3%
43 1
2.3%
42 1
2.3%
41 1
2.3%
40 1
2.3%
39 1
2.3%
38 1
2.3%
37 1
2.3%
36 1
2.3%
35 1
2.3%

업소명
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-12T18:22:03.317465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7.5
Mean length4.9545455
Min length2

Characters and Unicode

Total characters218
Distinct characters135
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)100.0%

Sample

1st row장성금생초국밥
2nd row돈가스클릭
3rd row왕창국밥
4th row청해루
5th row한국반점
ValueCountFrequency (%)
장성금생초국밥 1
 
2.1%
자르지오 1
 
2.1%
대복삼계탕 1
 
2.1%
까페345 1
 
2.1%
통큰갈비 1
 
2.1%
광양서천점 1
 
2.1%
유성목욕탕 1
 
2.1%
화둥숯불갈비 1
 
2.1%
룡제원 1
 
2.1%
백운마루 1
 
2.1%
Other values (37) 37
78.7%
2023-12-12T18:22:03.810130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 7
 
3.2%
비 6
 
2.8%
당 5
 
2.3%
국 5
 
2.3%
밥 5
 
2.3%
이 4
 
1.8%
지 4
 
1.8%
탕 4
 
1.8%
우 4
 
1.8%
점 4
 
1.8%
Other values (125) 170
78.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 207
95.0%
Decimal Number 5
 
2.3%
Space Separator 3
 
1.4%
Close Punctuation 2
 
0.9%
Open Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 7
 
3.4%
비 6
 
2.9%
당 5
 
2.4%
국 5
 
2.4%
밥 5
 
2.4%
이 4
 
1.9%
지 4
 
1.9%
탕 4
 
1.9%
우 4
 
1.9%
점 4
 
1.9%
Other values (117) 159
76.8%
Decimal Number
ValueCountFrequency (%)
5 1
20.0%
4 1
20.0%
3 1
20.0%
2 1
20.0%
9 1
20.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 207
95.0%
Common 11
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 7
 
3.4%
비 6
 
2.9%
당 5
 
2.4%
국 5
 
2.4%
밥 5
 
2.4%
이 4
 
1.9%
지 4
 
1.9%
탕 4
 
1.9%
우 4
 
1.9%
점 4
 
1.9%
Other values (117) 159
76.8%
Common
ValueCountFrequency (%)
3
27.3%
) 2
18.2%
5 1
 
9.1%
4 1
 
9.1%
3 1
 
9.1%
( 1
 
9.1%
2 1
 
9.1%
9 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 207
95.0%
ASCII 11
 
5.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 7
 
3.4%
비 6
 
2.9%
당 5
 
2.4%
국 5
 
2.4%
밥 5
 
2.4%
이 4
 
1.9%
지 4
 
1.9%
탕 4
 
1.9%
우 4
 
1.9%
점 4
 
1.9%
Other values (117) 159
76.8%
ASCII
ValueCountFrequency (%)
3
27.3%
) 2
18.2%
5 1
 
9.1%
4 1
 
9.1%
3 1
 
9.1%
( 1
 
9.1%
2 1
 
9.1%
9 1
 
9.1%

주소
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-12T18:22:04.167188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length23
Mean length20.545455
Min length15

Characters and Unicode

Total characters904
Distinct characters84
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)100.0%

Sample

1st row전라남도 광양시 광양읍 인덕로 971
2nd row전라남도 광양시 광양읍 덕산4길 44
3rd row전라남도 광양시 광양읍 희양현로 30
4th row전라남도 광양시 광양읍 인덕로 1105
5th row전라남도 광양시 광양읍 은장도길 24
ValueCountFrequency (%)
전라남도 44
22.1%
광양시 44
22.1%
광양읍 17
 
8.5%
1층 3
 
1.5%
8 2
 
1.0%
시청로 2
 
1.0%
사동로 2
 
1.0%
호북길 2
 
1.0%
희양현로 2
 
1.0%
인덕로 2
 
1.0%
Other values (78) 79
39.7%
2023-12-12T18:22:04.698244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
155
17.1%
광 67
 
7.4%
양 63
 
7.0%
시 47
 
5.2%
남 46
 
5.1%
도 46
 
5.1%
전 44
 
4.9%
라 44
 
4.9%
1 31
 
3.4%
길 29
 
3.2%
Other values (74) 332
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 563
62.3%
Space Separator 155
 
17.1%
Decimal Number 128
 
14.2%
Close Punctuation 20
 
2.2%
Open Punctuation 20
 
2.2%
Dash Punctuation 14
 
1.5%
Other Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 67
11.9%
양 63
11.2%
시 47
 
8.3%
남 46
 
8.2%
도 46
 
8.2%
전 44
 
7.8%
라 44
 
7.8%
길 29
 
5.2%
동 22
 
3.9%
읍 17
 
3.0%
Other values (59) 138
24.5%
Decimal Number
ValueCountFrequency (%)
1 31
24.2%
2 20
15.6%
8 13
10.2%
4 13
10.2%
3 12
 
9.4%
0 10
 
7.8%
7 8
 
6.2%
6 8
 
6.2%
5 7
 
5.5%
9 6
 
4.7%
Space Separator
ValueCountFrequency (%)
155
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 563
62.3%
Common 341
37.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 67
11.9%
양 63
11.2%
시 47
 
8.3%
남 46
 
8.2%
도 46
 
8.2%
전 44
 
7.8%
라 44
 
7.8%
길 29
 
5.2%
동 22
 
3.9%
읍 17
 
3.0%
Other values (59) 138
24.5%
Common
ValueCountFrequency (%)
155
45.5%
1 31
 
9.1%
) 20
 
5.9%
( 20
 
5.9%
2 20
 
5.9%
- 14
 
4.1%
8 13
 
3.8%
4 13
 
3.8%
3 12
 
3.5%
0 10
 
2.9%
Other values (5) 33
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 563
62.3%
ASCII 341
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
155
45.5%
1 31
 
9.1%
) 20
 
5.9%
( 20
 
5.9%
2 20
 
5.9%
- 14
 
4.1%
8 13
 
3.8%
4 13
 
3.8%
3 12
 
3.5%
0 10
 
2.9%
Other values (5) 33
 
9.7%
Hangul
ValueCountFrequency (%)
광 67
11.9%
양 63
11.2%
시 47
 
8.3%
남 46
 
8.2%
도 46
 
8.2%
전 44
 
7.8%
라 44
 
7.8%
길 29
 
5.2%
동 22
 
3.9%
읍 17
 
3.0%
Other values (59) 138
24.5%

연락처
Text

Distinct41
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-12T18:22:04.972412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters528
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

Unique40 ?
Unique (%)90.9%

Sample

1st row061-763-3875
2nd row061-761-8880
3rd row061-762-4870
4th row061-762-5088
5th row061-761-9999
ValueCountFrequency (%)
061-791-0000 4
 
9.1%
061-763-3875 1
 
2.3%
061-793-9229 1
 
2.3%
061-793-9999 1
 
2.3%
061-761-2138 1
 
2.3%
061-762-1221 1
 
2.3%
061-761-3213 1
 
2.3%
061-792-1918 1
 
2.3%
061-794-5888 1
 
2.3%
061-795-7733 1
 
2.3%
Other values (31) 31
70.5%
2023-12-12T18:22:05.781756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 88
16.7%
0 74
14.0%
1 73
13.8%
6 69
13.1%
7 59
11.2%
9 50
9.5%
2 33
 
6.2%
8 31
 
5.9%
3 25
 
4.7%
5 19
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 440
83.3%
Dash Punctuation 88
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 74
16.8%
1 73
16.6%
6 69
15.7%
7 59
13.4%
9 50
11.4%
2 33
7.5%
8 31
7.0%
3 25
 
5.7%
5 19
 
4.3%
4 7
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 528
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 88
16.7%
0 74
14.0%
1 73
13.8%
6 69
13.1%
7 59
11.2%
9 50
9.5%
2 33
 
6.2%
8 31
 
5.9%
3 25
 
4.7%
5 19
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 528
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 88
16.7%
0 74
14.0%
1 73
13.8%
6 69
13.1%
7 59
11.2%
9 50
9.5%
2 33
 
6.2%
8 31
 
5.9%
3 25
 
4.7%
5 19
 
3.6%

품목
Text

Distinct27
Distinct (%)61.4%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-12T18:22:06.052145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.1818182
Min length2

Characters and Unicode

Total characters140
Distinct characters61
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

Unique20 ?
Unique (%)45.5%

Sample

1st row콩나물국밥
2nd row김치찌개
3rd row머리국밥
4th row짜장면
5th row짜장면
ValueCountFrequency (%)
삼겹살 5
 
11.4%
짜장면 5
 
11.4%
커트 5
 
11.4%
목욕 3
 
6.8%
백반 3
 
6.8%
머리국밥 2
 
4.5%
김치찌개 2
 
4.5%
돼지국밥 1
 
2.3%
콩나물국밥 1
 
2.3%
지압 1
 
2.3%
Other values (16) 16
36.4%
2023-12-12T18:22:06.452505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 9
 
6.4%
삼 7
 
5.0%
살 6
 
4.3%
커 6
 
4.3%
트 6
 
4.3%
겹 6
 
4.3%
밥 6
 
4.3%
국 5
 
3.6%
짜 5
 
3.6%
면 5
 
3.6%
Other values (51) 79
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 138
98.6%
Space Separator 1
 
0.7%
Decimal Number 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 9
 
6.5%
삼 7
 
5.1%
살 6
 
4.3%
커 6
 
4.3%
트 6
 
4.3%
겹 6
 
4.3%
밥 6
 
4.3%
국 5
 
3.6%
짜 5
 
3.6%
면 5
 
3.6%
Other values (49) 77
55.8%
Space Separator
ValueCountFrequency (%)
1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 138
98.6%
Common 2
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 9
 
6.5%
삼 7
 
5.1%
살 6
 
4.3%
커 6
 
4.3%
트 6
 
4.3%
겹 6
 
4.3%
밥 6
 
4.3%
국 5
 
3.6%
짜 5
 
3.6%
면 5
 
3.6%
Other values (49) 77
55.8%
Common
ValueCountFrequency (%)
1
50.0%
1 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 138
98.6%
ASCII 2
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 9
 
6.5%
삼 7
 
5.1%
살 6
 
4.3%
커 6
 
4.3%
트 6
 
4.3%
겹 6
 
4.3%
밥 6
 
4.3%
국 5
 
3.6%
짜 5
 
3.6%
면 5
 
3.6%
Other values (49) 77
55.8%
ASCII
ValueCountFrequency (%)
1
50.0%
1 1
50.0%

가격
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)31.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8613.6364
Minimum0
Maximum40000
Zeros1
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T18:22:06.636643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3000
Q16000
median8000
Q310000
95-th percentile13700
Maximum40000
Range40000
Interquartile range (IQR)4000

Descriptive statistics

Standard deviation5718.0494
Coefficient of variation (CV)0.66383687
Kurtosis21.363917
Mean8613.6364
Median Absolute Deviation (MAD)2000
Skewness3.9018489
Sum379000
Variance32696089
MonotonicityNot monotonic
2023-12-12T18:22:06.797755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
8000 12
27.3%
12000 6
13.6%
7000 5
11.4%
5000 5
11.4%
6000 3
 
6.8%
10000 3
 
6.8%
14000 2
 
4.5%
3000 2
 
4.5%
6500 1
 
2.3%
9000 1
 
2.3%
Other values (4) 4
 
9.1%
ValueCountFrequency (%)
0 1
 
2.3%
2500 1
 
2.3%
3000 2
 
4.5%
5000 5
11.4%
6000 3
 
6.8%
6500 1
 
2.3%
7000 5
11.4%
8000 12
27.3%
9000 1
 
2.3%
10000 3
 
6.8%
ValueCountFrequency (%)
40000 1
 
2.3%
14000 2
 
4.5%
12000 6
13.6%
11000 1
 
2.3%
10000 3
 
6.8%
9000 1
 
2.3%
8000 12
27.3%
7000 5
11.4%
6500 1
 
2.3%
6000 3
 
6.8%

Interactions

2023-12-12T18:22:02.308315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:22:02.071392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:22:02.429480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:22:02.187666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:22:06.941185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명주소연락처품목가격
연번1.0001.0001.0000.7410.7440.374
업소명1.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.000
연락처0.7411.0001.0001.0000.9310.682
품목0.7441.0001.0000.9311.0000.958
가격0.3741.0001.0000.6820.9581.000
2023-12-12T18:22:07.086415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번가격
연번1.0000.143
가격0.1431.000

Missing values

2023-12-12T18:22:02.593732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:22:02.751158image/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

연번업소명주소연락처품목가격
01장성금생초국밥전라남도 광양시 광양읍 인덕로 971061-763-3875콩나물국밥7000
12돈가스클릭전라남도 광양시 광양읍 덕산4길 44061-761-8880김치찌개8000
23왕창국밥전라남도 광양시 광양읍 희양현로 30061-762-4870머리국밥8000
34청해루전라남도 광양시 광양읍 인덕로 1105061-762-5088짜장면6000
45한국반점전라남도 광양시 광양읍 은장도길 24061-761-9999짜장면5000
56장수국밥전라남도 광양시 중마용소5길 4-1(중동)061-794-1222머리국밥8000
67시장중화요리전라남도 광양시 중마중앙로 88(중동)061-791-6989짜장면5000
78판문점전라남도 광양시 중마청룡길 6-4(중동)061-791-3322돼지갈비12000
89삼거리식당전라남도 광양시 하포길 68-1(황길동)061-792-6505장어탕8000
910헤어샵 지윤전라남도 광양시 광양읍 서평로 15061-762-1640커트10000
연번업소명주소연락처품목가격
3435태경뷔페식당전라남도 광양시 광양읍 초남2공단2길 46, 1층061-791-0000한식뷔페7000
3536복재식당전라남도 광양시 담안2길 16-16061-791-5267재첩국8000
3637신)크린하우스전라남도 광양시 담안길 77-9, 1층061-792-2514바지기장3000
3738광양식탁전라남도 광양시 지동길 143-1(도이동)061-791-0000삼겹살12000
3839단비콩전라남도 광양시 광양읍 용두길 108061-762-4936한식8000
3940비치모텔전라남도 광양시 진월면 백운1로 389061-772-7727숙박40000
4041엄지손 체형관리전라남도 광양시 광양읍 매일시장길 42-1061-791-0000지압0
4142붐비어전라남도 광양시 광양읍 예구1길 8, 105동 3호061-763-5530삼겹살11000
4243오늘김밥전라남도 광양시 시청로 67061-795-0105오늘김밥3000
4344우산이발소전라남도 광양시 신재로 107061-763-9886커트10000