Overview

Dataset statistics

Number of variables5
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory44.9 B

Variable types

Text4
Numeric1

Dataset

Description삼척시 착한가격업소 지정명, 소재지도로명주소, 메뉴, 가격, 전화번호 등 착한가격업소 현황 목록 공공데이터 파일데이터 등록
URLhttps://www.data.go.kr/data/3038623/fileData.do

Alerts

지정업소명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:16:50.852273
Analysis finished2023-12-12 06:16:51.503596
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지정업소명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T15:16:51.685262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.4117647
Min length2

Characters and Unicode

Total characters150
Distinct characters99
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row행운회수산
2nd row가원
3rd row학포란추어탕
4th row등대
5th row미호회관
ValueCountFrequency (%)
행운회수산 1
 
2.9%
가원 1
 
2.9%
맹가네해물찜 1
 
2.9%
농가 1
 
2.9%
왕김밥 1
 
2.9%
장수칼국수 1
 
2.9%
교동면옥 1
 
2.9%
오징어보쌈 1
 
2.9%
석미한우집 1
 
2.9%
바다내음 1
 
2.9%
Other values (24) 24
70.6%
2023-12-12T15:16:52.175079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
가 5
 
3.3%
밥 4
 
2.7%
대 4
 
2.7%
당 4
 
2.7%
어 3
 
2.0%
물 3
 
2.0%
비 3
 
2.0%
갈 3
 
2.0%
한 3
 
2.0%
식 3
 
2.0%
Other values (89) 115
76.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 150
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 5
 
3.3%
밥 4
 
2.7%
대 4
 
2.7%
당 4
 
2.7%
어 3
 
2.0%
물 3
 
2.0%
비 3
 
2.0%
갈 3
 
2.0%
한 3
 
2.0%
식 3
 
2.0%
Other values (89) 115
76.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 150
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 5
 
3.3%
밥 4
 
2.7%
대 4
 
2.7%
당 4
 
2.7%
어 3
 
2.0%
물 3
 
2.0%
비 3
 
2.0%
갈 3
 
2.0%
한 3
 
2.0%
식 3
 
2.0%
Other values (89) 115
76.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 150
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
가 5
 
3.3%
밥 4
 
2.7%
대 4
 
2.7%
당 4
 
2.7%
어 3
 
2.0%
물 3
 
2.0%
비 3
 
2.0%
갈 3
 
2.0%
한 3
 
2.0%
식 3
 
2.0%
Other values (89) 115
76.7%

소재지도로명주소
Text

Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T15:16:52.479793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length21.088235
Min length17

Characters and Unicode

Total characters717
Distinct characters64
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)94.1%

Sample

1st row강원특별자치도 삼척시 도계읍 도계느티로 8
2nd row강원특별자치도 삼척시 근덕면 교가길 22-13
3rd row강원특별자치도 삼척시 근덕면 본동길 14
4th row강원특별자치도 삼척시 남양길 14-41
5th row강원특별자치도 삼척시 남양길 33
ValueCountFrequency (%)
강원특별자치도 34
23.4%
삼척시 34
23.4%
남양길 6
 
4.1%
8 3
 
2.1%
정상안1길 2
 
1.4%
도계읍 2
 
1.4%
근덕면 2
 
1.4%
오십천로 2
 
1.4%
언장2길 2
 
1.4%
청석로3길 2
 
1.4%
Other values (52) 56
38.6%
2023-12-12T15:16:52.879384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
111
 
15.5%
도 38
 
5.3%
척 35
 
4.9%
원 35
 
4.9%
시 35
 
4.9%
삼 34
 
4.7%
강 34
 
4.7%
치 34
 
4.7%
자 34
 
4.7%
별 34
 
4.7%
Other values (54) 293
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 472
65.8%
Decimal Number 113
 
15.8%
Space Separator 111
 
15.5%
Dash Punctuation 18
 
2.5%
Other Punctuation 2
 
0.3%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 38
 
8.1%
척 35
 
7.4%
원 35
 
7.4%
시 35
 
7.4%
삼 34
 
7.2%
강 34
 
7.2%
치 34
 
7.2%
자 34
 
7.2%
별 34
 
7.2%
특 34
 
7.2%
Other values (40) 125
26.5%
Decimal Number
ValueCountFrequency (%)
1 28
24.8%
2 19
16.8%
3 14
12.4%
4 11
 
9.7%
0 9
 
8.0%
7 8
 
7.1%
5 8
 
7.1%
6 8
 
7.1%
8 5
 
4.4%
9 3
 
2.7%
Space Separator
ValueCountFrequency (%)
111
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 472
65.8%
Common 244
34.0%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 38
 
8.1%
척 35
 
7.4%
원 35
 
7.4%
시 35
 
7.4%
삼 34
 
7.2%
강 34
 
7.2%
치 34
 
7.2%
자 34
 
7.2%
별 34
 
7.2%
특 34
 
7.2%
Other values (40) 125
26.5%
Common
ValueCountFrequency (%)
111
45.5%
1 28
 
11.5%
2 19
 
7.8%
- 18
 
7.4%
3 14
 
5.7%
4 11
 
4.5%
0 9
 
3.7%
7 8
 
3.3%
5 8
 
3.3%
6 8
 
3.3%
Other values (3) 10
 
4.1%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 472
65.8%
ASCII 245
34.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
111
45.3%
1 28
 
11.4%
2 19
 
7.8%
- 18
 
7.3%
3 14
 
5.7%
4 11
 
4.5%
0 9
 
3.7%
7 8
 
3.3%
5 8
 
3.3%
6 8
 
3.3%
Other values (4) 11
 
4.5%
Hangul
ValueCountFrequency (%)
도 38
 
8.1%
척 35
 
7.4%
원 35
 
7.4%
시 35
 
7.4%
삼 34
 
7.2%
강 34
 
7.2%
치 34
 
7.2%
자 34
 
7.2%
별 34
 
7.2%
특 34
 
7.2%
Other values (40) 125
26.5%

메뉴
Text

Distinct26
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T15:16:53.095069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length5.2647059
Min length2

Characters and Unicode

Total characters179
Distinct characters71
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)58.8%

Sample

1st row회덮밥
2nd row한식부페
3rd row추어탕
4th row김치찌개
5th row돼지갈비(250g)
ValueCountFrequency (%)
김치찌개 3
 
8.6%
돼지갈비(250g 3
 
8.6%
추어탕 2
 
5.7%
보리밥 2
 
5.7%
등심(200g 2
 
5.7%
청국장 2
 
5.7%
오징어보쌈비빔밥(점심특선 1
 
2.9%
회덮밥 1
 
2.9%
수제돈가스 1
 
2.9%
뚜구리탕 1
 
2.9%
Other values (17) 17
48.6%
2023-12-12T15:16:53.548962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11
 
6.1%
) 9
 
5.0%
( 9
 
5.0%
2 7
 
3.9%
g 7
 
3.9%
밥 6
 
3.4%
비 6
 
3.4%
개 5
 
2.8%
장 5
 
2.8%
탕 4
 
2.2%
Other values (61) 110
61.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 132
73.7%
Decimal Number 21
 
11.7%
Close Punctuation 9
 
5.0%
Open Punctuation 9
 
5.0%
Lowercase Letter 7
 
3.9%
Space Separator 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
밥 6
 
4.5%
비 6
 
4.5%
개 5
 
3.8%
장 5
 
3.8%
탕 4
 
3.0%
김 4
 
3.0%
심 4
 
3.0%
리 4
 
3.0%
갈 4
 
3.0%
지 4
 
3.0%
Other values (54) 86
65.2%
Decimal Number
ValueCountFrequency (%)
0 11
52.4%
2 7
33.3%
5 3
 
14.3%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Lowercase Letter
ValueCountFrequency (%)
g 7
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 132
73.7%
Common 40
 
22.3%
Latin 7
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
밥 6
 
4.5%
비 6
 
4.5%
개 5
 
3.8%
장 5
 
3.8%
탕 4
 
3.0%
김 4
 
3.0%
심 4
 
3.0%
리 4
 
3.0%
갈 4
 
3.0%
지 4
 
3.0%
Other values (54) 86
65.2%
Common
ValueCountFrequency (%)
0 11
27.5%
) 9
22.5%
( 9
22.5%
2 7
17.5%
5 3
 
7.5%
1
 
2.5%
Latin
ValueCountFrequency (%)
g 7
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 132
73.7%
ASCII 47
 
26.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11
23.4%
) 9
19.1%
( 9
19.1%
2 7
14.9%
g 7
14.9%
5 3
 
6.4%
1
 
2.1%
Hangul
ValueCountFrequency (%)
밥 6
 
4.5%
비 6
 
4.5%
개 5
 
3.8%
장 5
 
3.8%
탕 4
 
3.0%
김 4
 
3.0%
심 4
 
3.0%
리 4
 
3.0%
갈 4
 
3.0%
지 4
 
3.0%
Other values (54) 86
65.2%

가격(원)
Real number (ℝ)

Distinct14
Distinct (%)41.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10176.471
Minimum2000
Maximum50000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T15:16:53.718241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000
5-th percentile5000
Q16000
median7000
Q310000
95-th percentile26400
Maximum50000
Range48000
Interquartile range (IQR)4000

Descriptive statistics

Standard deviation8778.3155
Coefficient of variation (CV)0.86260904
Kurtosis13.229109
Mean10176.471
Median Absolute Deviation (MAD)2000
Skewness3.3994661
Sum346000
Variance77058824
MonotonicityNot monotonic
2023-12-12T15:16:53.880464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
7000 8
23.5%
6000 5
14.7%
5000 4
11.8%
10000 3
 
8.8%
9000 3
 
8.8%
8000 2
 
5.9%
11000 2
 
5.9%
14000 1
 
2.9%
50000 1
 
2.9%
29000 1
 
2.9%
Other values (4) 4
11.8%
ValueCountFrequency (%)
2000 1
 
2.9%
5000 4
11.8%
6000 5
14.7%
7000 8
23.5%
8000 2
 
5.9%
9000 3
 
8.8%
10000 3
 
8.8%
11000 2
 
5.9%
12000 1
 
2.9%
13000 1
 
2.9%
ValueCountFrequency (%)
50000 1
 
2.9%
29000 1
 
2.9%
25000 1
 
2.9%
14000 1
 
2.9%
13000 1
 
2.9%
12000 1
 
2.9%
11000 2
5.9%
10000 3
8.8%
9000 3
8.8%
8000 2
5.9%

전화번호
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T15:16:54.149403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters408
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

Unique34 ?
Unique (%)100.0%

Sample

1st row033-541-2999
2nd row033-572-2489
3rd row033-573-7999
4th row033-574-0399
5th row033-574-0666
ValueCountFrequency (%)
033-541-2999 1
 
2.9%
033-572-2489 1
 
2.9%
033-541-5959 1
 
2.9%
033-573-0606 1
 
2.9%
033-572-8511 1
 
2.9%
033-574-8400 1
 
2.9%
033-573-9299 1
 
2.9%
033-574-7787 1
 
2.9%
033-574-9155 1
 
2.9%
033-574-3434 1
 
2.9%
Other values (24) 24
70.6%
2023-12-12T15:16:54.548606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 90
22.1%
- 68
16.7%
0 53
13.0%
5 49
12.0%
7 44
10.8%
4 26
 
6.4%
9 26
 
6.4%
2 14
 
3.4%
6 14
 
3.4%
1 13
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 340
83.3%
Dash Punctuation 68
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 90
26.5%
0 53
15.6%
5 49
14.4%
7 44
12.9%
4 26
 
7.6%
9 26
 
7.6%
2 14
 
4.1%
6 14
 
4.1%
1 13
 
3.8%
8 11
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 408
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 90
22.1%
- 68
16.7%
0 53
13.0%
5 49
12.0%
7 44
10.8%
4 26
 
6.4%
9 26
 
6.4%
2 14
 
3.4%
6 14
 
3.4%
1 13
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 408
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 90
22.1%
- 68
16.7%
0 53
13.0%
5 49
12.0%
7 44
10.8%
4 26
 
6.4%
9 26
 
6.4%
2 14
 
3.4%
6 14
 
3.4%
1 13
 
3.2%

Interactions

2023-12-12T15:16:51.200333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:16:54.649475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정업소명소재지도로명주소메뉴가격(원)전화번호
지정업소명1.0001.0001.0001.0001.000
소재지도로명주소1.0001.0000.9480.9691.000
메뉴1.0000.9481.0000.5011.000
가격(원)1.0000.9690.5011.0001.000
전화번호1.0001.0001.0001.0001.000

Missing values

2023-12-12T15:16:51.324190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:16:51.458725image/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

지정업소명소재지도로명주소메뉴가격(원)전화번호
0행운회수산강원특별자치도 삼척시 도계읍 도계느티로 8회덮밥10000033-541-2999
1가원강원특별자치도 삼척시 근덕면 교가길 22-13한식부페7000033-572-2489
2학포란추어탕강원특별자치도 삼척시 근덕면 본동길 14추어탕8000033-573-7999
3등대강원특별자치도 삼척시 남양길 14-41김치찌개7000033-574-0399
4미호회관강원특별자치도 삼척시 남양길 33돼지갈비(250g)14000033-574-0666
5동해바다강원특별자치도 삼척시 청석로 27-64생선구이백반7000033-574-0987
6대광세탁소강원특별자치도 삼척시 봉황로 91-87신사복 드라이8000033-572-8060
7남천주물럭강원특별자치도 삼척시 남양길 14-13김치찌개5000033-574-5070
8중앙시장식당강원특별자치도 삼척시 진주로 12-21, A동 63호보리밥6000033-572-9337
9바다내음강원특별자치도 삼척시 남양길 25동태알탕(점심특선)7000033-574-3434
지정업소명소재지도로명주소메뉴가격(원)전화번호
24왕갈비강원특별자치도 삼척시 하실길 40-10돼지갈비(250g)13000033-574-9266
25태성갈비강원특별자치도 삼척시 정상안1길 7-31돼지갈비(250g)12000033-574-6646
26석미한우집강원특별자치도 삼척시 청석로 74, 206호등심(200g)25000033-574-9155
27오징어보쌈강원특별자치도 삼척시 정상안길 100오징어보쌈비빔밥(점심특선)7000033-574-7787
28교동면옥강원특별자치도 삼척시 정상안1길 13-3육개장9000033-573-9299
29장수칼국수강원특별자치도 삼척시 오십천로 476-12칼국수6000033-574-8400
30왕김밥강원특별자치도 삼척시 중앙시장1길 21-27김밥2000033-572-8511
31농가강원특별자치도 삼척시 남양길 5보쌈정식9000033-573-0606
32맹가네해물찜강원특별자치도 삼척시 도계읍 도계로 4길 16-6뚜구리탕7000033-541-5959
33베데스다헤어강원특별자치도 삼척시 오십천로 295-7 103호커트10000033-574-3164