Overview

Dataset statistics

Number of variables15
Number of observations39
Missing cells93
Missing cells (%)15.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.9 KiB
Average record size in memory127.4 B

Variable types

Numeric4
Text8
Boolean2
Categorical1

Dataset

Description강원특별자치도 동해시에 위치한 착한가격업소 현황을 제공합니다. 업소명, 대표자, 도로명주소, 연락처 등에 대한 정보를 제공하여 드립니다.
Author강원특별자치도 동해시
URLhttps://www.data.go.kr/data/3077962/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
가격1 is highly overall correlated with 가격2High correlation
가격2 is highly overall correlated with 가격1 and 1 other fieldsHigh correlation
배달가능여부 is highly overall correlated with 가격2High correlation
가격1 has 1 (2.6%) missing valuesMissing
품목2 has 17 (43.6%) missing valuesMissing
가격2 has 17 (43.6%) missing valuesMissing
품목3 has 25 (64.1%) missing valuesMissing
가격3 has 25 (64.1%) missing valuesMissing
영업시간 has 8 (20.5%) missing valuesMissing
번호 has unique valuesUnique
업소명 has unique valuesUnique
대표자 has unique valuesUnique
도로명주소 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:19:22.861551
Analysis finished2023-12-12 13:19:25.885689
Duration3.02 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20
Minimum1
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2023-12-12T22:19:25.962793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.9
Q110.5
median20
Q329.5
95-th percentile37.1
Maximum39
Range38
Interquartile range (IQR)19

Descriptive statistics

Standard deviation11.401754
Coefficient of variation (CV)0.57008771
Kurtosis-1.2
Mean20
Median Absolute Deviation (MAD)10
Skewness0
Sum780
Variance130
MonotonicityStrictly increasing
2023-12-12T22:19:26.132697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
1 1
 
2.6%
2 1
 
2.6%
23 1
 
2.6%
24 1
 
2.6%
25 1
 
2.6%
26 1
 
2.6%
27 1
 
2.6%
28 1
 
2.6%
29 1
 
2.6%
30 1
 
2.6%
Other values (29) 29
74.4%
ValueCountFrequency (%)
1 1
2.6%
2 1
2.6%
3 1
2.6%
4 1
2.6%
5 1
2.6%
6 1
2.6%
7 1
2.6%
8 1
2.6%
9 1
2.6%
10 1
2.6%
ValueCountFrequency (%)
39 1
2.6%
38 1
2.6%
37 1
2.6%
36 1
2.6%
35 1
2.6%
34 1
2.6%
33 1
2.6%
32 1
2.6%
31 1
2.6%
30 1
2.6%

업소명
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-12T22:19:26.443699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.4358974
Min length2

Characters and Unicode

Total characters212
Distinct characters128
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

Unique39 ?
Unique (%)100.0%

Sample

1st row한아름칼국수
2nd row까치분식
3rd row정문분식
4th row삼송갈비
5th row동해닭갈비
ValueCountFrequency (%)
한아름칼국수 1
 
2.4%
커피빈(been 1
 
2.4%
뒷드루쉼터 1
 
2.4%
원고기마트 1
 
2.4%
식육식당 1
 
2.4%
경남보리밥집 1
 
2.4%
시골 1
 
2.4%
송정아귀찜 1
 
2.4%
동해장칼국수 1
 
2.4%
장모님닭계장 1
 
2.4%
Other values (31) 31
75.6%
2023-12-12T22:19:26.937988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 6
 
2.8%
장 6
 
2.8%
식 5
 
2.4%
칼 5
 
2.4%
수 5
 
2.4%
이 5
 
2.4%
미 4
 
1.9%
리 4
 
1.9%
닭 4
 
1.9%
네 4
 
1.9%
Other values (118) 164
77.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 197
92.9%
Uppercase Letter 6
 
2.8%
Lowercase Letter 4
 
1.9%
Space Separator 2
 
0.9%
Other Punctuation 1
 
0.5%
Close Punctuation 1
 
0.5%
Open Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 6
 
3.0%
장 6
 
3.0%
식 5
 
2.5%
칼 5
 
2.5%
수 5
 
2.5%
이 5
 
2.5%
미 4
 
2.0%
리 4
 
2.0%
닭 4
 
2.0%
네 4
 
2.0%
Other values (108) 149
75.6%
Uppercase Letter
ValueCountFrequency (%)
O 3
50.0%
C 2
33.3%
R 1
 
16.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
50.0%
n 1
25.0%
b 1
25.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 197
92.9%
Latin 10
 
4.7%
Common 5
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 6
 
3.0%
장 6
 
3.0%
식 5
 
2.5%
칼 5
 
2.5%
수 5
 
2.5%
이 5
 
2.5%
미 4
 
2.0%
리 4
 
2.0%
닭 4
 
2.0%
네 4
 
2.0%
Other values (108) 149
75.6%
Latin
ValueCountFrequency (%)
O 3
30.0%
C 2
20.0%
e 2
20.0%
R 1
 
10.0%
n 1
 
10.0%
b 1
 
10.0%
Common
ValueCountFrequency (%)
2
40.0%
& 1
20.0%
) 1
20.0%
( 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 197
92.9%
ASCII 15
 
7.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 6
 
3.0%
장 6
 
3.0%
식 5
 
2.5%
칼 5
 
2.5%
수 5
 
2.5%
이 5
 
2.5%
미 4
 
2.0%
리 4
 
2.0%
닭 4
 
2.0%
네 4
 
2.0%
Other values (108) 149
75.6%
ASCII
ValueCountFrequency (%)
O 3
20.0%
C 2
13.3%
2
13.3%
e 2
13.3%
& 1
 
6.7%
R 1
 
6.7%
) 1
 
6.7%
n 1
 
6.7%
b 1
 
6.7%
( 1
 
6.7%

대표자
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-12T22:19:27.202998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.974359
Min length2

Characters and Unicode

Total characters116
Distinct characters62
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

Unique39 ?
Unique (%)100.0%

Sample

1st row홍명숙
2nd row안영해
3rd row박명희
4th row김국자
5th row최연숙
ValueCountFrequency (%)
홍명숙 1
 
2.6%
윤인선 1
 
2.6%
박상현 1
 
2.6%
박광숙 1
 
2.6%
박동원 1
 
2.6%
김옥남 1
 
2.6%
박순자 1
 
2.6%
신연화 1
 
2.6%
이순희 1
 
2.6%
김민 1
 
2.6%
Other values (29) 29
74.4%
2023-12-12T22:19:27.635986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 10
 
8.6%
희 6
 
5.2%
박 6
 
5.2%
이 5
 
4.3%
연 4
 
3.4%
숙 4
 
3.4%
영 4
 
3.4%
정 3
 
2.6%
유 3
 
2.6%
지 3
 
2.6%
Other values (52) 68
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 116
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 10
 
8.6%
희 6
 
5.2%
박 6
 
5.2%
이 5
 
4.3%
연 4
 
3.4%
숙 4
 
3.4%
영 4
 
3.4%
정 3
 
2.6%
유 3
 
2.6%
지 3
 
2.6%
Other values (52) 68
58.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 116
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 10
 
8.6%
희 6
 
5.2%
박 6
 
5.2%
이 5
 
4.3%
연 4
 
3.4%
숙 4
 
3.4%
영 4
 
3.4%
정 3
 
2.6%
유 3
 
2.6%
지 3
 
2.6%
Other values (52) 68
58.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 116
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 10
 
8.6%
희 6
 
5.2%
박 6
 
5.2%
이 5
 
4.3%
연 4
 
3.4%
숙 4
 
3.4%
영 4
 
3.4%
정 3
 
2.6%
유 3
 
2.6%
지 3
 
2.6%
Other values (52) 68
58.6%

도로명주소
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-12T22:19:27.971355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length19.589744
Min length17

Characters and Unicode

Total characters764
Distinct characters64
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

Unique39 ?
Unique (%)100.0%

Sample

1st row강원특별자치도 동해시 발한복개로 26
2nd row강원특별자치도 동해시 중앙시장길 2-1
3rd row강원특별자치도 동해시 효자남길 50-1
4th row강원특별자치도 동해시 송정로 39
5th row강원특별자치도 동해시 효자남길 36
ValueCountFrequency (%)
강원특별자치도 39
24.7%
동해시 39
24.7%
일출로 4
 
2.5%
효자남길 3
 
1.9%
천곡2길 2
 
1.3%
동해역길 2
 
1.3%
9 2
 
1.3%
동굴로 2
 
1.3%
중앙시장길 2
 
1.3%
3 2
 
1.3%
Other values (56) 61
38.6%
2023-12-12T22:19:28.454657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
119
15.6%
동 45
 
5.9%
해 43
 
5.6%
시 43
 
5.6%
자 42
 
5.5%
원 40
 
5.2%
강 39
 
5.1%
도 39
 
5.1%
치 39
 
5.1%
별 39
 
5.1%
Other values (54) 276
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 527
69.0%
Space Separator 119
 
15.6%
Decimal Number 98
 
12.8%
Other Punctuation 12
 
1.6%
Dash Punctuation 8
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 45
 
8.5%
해 43
 
8.2%
시 43
 
8.2%
자 42
 
8.0%
원 40
 
7.6%
강 39
 
7.4%
도 39
 
7.4%
치 39
 
7.4%
별 39
 
7.4%
특 39
 
7.4%
Other values (40) 119
22.6%
Decimal Number
ValueCountFrequency (%)
1 21
21.4%
2 18
18.4%
3 12
12.2%
6 12
12.2%
5 7
 
7.1%
0 6
 
6.1%
4 6
 
6.1%
8 6
 
6.1%
9 5
 
5.1%
7 5
 
5.1%
Other Punctuation
ValueCountFrequency (%)
? 10
83.3%
, 2
 
16.7%
Space Separator
ValueCountFrequency (%)
119
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 527
69.0%
Common 237
31.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 45
 
8.5%
해 43
 
8.2%
시 43
 
8.2%
자 42
 
8.0%
원 40
 
7.6%
강 39
 
7.4%
도 39
 
7.4%
치 39
 
7.4%
별 39
 
7.4%
특 39
 
7.4%
Other values (40) 119
22.6%
Common
ValueCountFrequency (%)
119
50.2%
1 21
 
8.9%
2 18
 
7.6%
3 12
 
5.1%
6 12
 
5.1%
? 10
 
4.2%
- 8
 
3.4%
5 7
 
3.0%
0 6
 
2.5%
4 6
 
2.5%
Other values (4) 18
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 527
69.0%
ASCII 237
31.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
119
50.2%
1 21
 
8.9%
2 18
 
7.6%
3 12
 
5.1%
6 12
 
5.1%
? 10
 
4.2%
- 8
 
3.4%
5 7
 
3.0%
0 6
 
2.5%
4 6
 
2.5%
Other values (4) 18
 
7.6%
Hangul
ValueCountFrequency (%)
동 45
 
8.5%
해 43
 
8.2%
시 43
 
8.2%
자 42
 
8.0%
원 40
 
7.6%
강 39
 
7.4%
도 39
 
7.4%
치 39
 
7.4%
별 39
 
7.4%
특 39
 
7.4%
Other values (40) 119
22.6%

연락처
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-12T22:19:28.680952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.076923
Min length12

Characters and Unicode

Total characters471
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

Unique39 ?
Unique (%)100.0%

Sample

1st row033-532-4954
2nd row033-535-3096
3rd row033-522-0059
4th row033-522-4077
5th row033-522-6868
ValueCountFrequency (%)
033-532-4954 1
 
2.6%
033-532-3279 1
 
2.6%
033-522-4782 1
 
2.6%
070-7303-3878 1
 
2.6%
033-531-7770 1
 
2.6%
033-533-6317 1
 
2.6%
033-521-0163 1
 
2.6%
033-522-4388 1
 
2.6%
033-532-2556 1
 
2.6%
033-533-6000 1
 
2.6%
Other values (29) 29
74.4%
2023-12-12T22:19:29.077670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 122
25.9%
- 78
16.6%
5 67
14.2%
0 61
13.0%
2 46
 
9.8%
7 21
 
4.5%
1 18
 
3.8%
8 17
 
3.6%
6 15
 
3.2%
4 14
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 393
83.4%
Dash Punctuation 78
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 122
31.0%
5 67
17.0%
0 61
15.5%
2 46
 
11.7%
7 21
 
5.3%
1 18
 
4.6%
8 17
 
4.3%
6 15
 
3.8%
4 14
 
3.6%
9 12
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 471
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 122
25.9%
- 78
16.6%
5 67
14.2%
0 61
13.0%
2 46
 
9.8%
7 21
 
4.5%
1 18
 
3.8%
8 17
 
3.6%
6 15
 
3.2%
4 14
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 471
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 122
25.9%
- 78
16.6%
5 67
14.2%
0 61
13.0%
2 46
 
9.8%
7 21
 
4.5%
1 18
 
3.8%
8 17
 
3.6%
6 15
 
3.2%
4 14
 
3.0%

품목1
Text

Distinct32
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-12T22:19:29.269735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length3.974359
Min length1

Characters and Unicode

Total characters155
Distinct characters78
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

Unique28 ?
Unique (%)71.8%

Sample

1st row홍합칼국수
2nd row잔치국수
3rd row제육볶음밥
4th row돼지갈비
5th row무뻐닭갈비
ValueCountFrequency (%)
장칼국수 3
 
7.5%
아메리카노 3
 
7.5%
커트 3
 
7.5%
등심돈가스 2
 
5.0%
홍합칼국수 1
 
2.5%
칼국수 1
 
2.5%
비빔밥 1
 
2.5%
닭칼국수 1
 
2.5%
1박 1
 
2.5%
단팥빵 1
 
2.5%
Other values (23) 23
57.5%
2023-12-12T22:19:29.616905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 8
 
5.2%
수 8
 
5.2%
칼 7
 
4.5%
장 6
 
3.9%
비 6
 
3.9%
아 5
 
3.2%
밥 5
 
3.2%
리 4
 
2.6%
닭 4
 
2.6%
카 3
 
1.9%
Other values (68) 99
63.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 148
95.5%
Open Punctuation 2
 
1.3%
Close Punctuation 2
 
1.3%
Decimal Number 2
 
1.3%
Space Separator 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 8
 
5.4%
수 8
 
5.4%
칼 7
 
4.7%
장 6
 
4.1%
비 6
 
4.1%
아 5
 
3.4%
밥 5
 
3.4%
리 4
 
2.7%
닭 4
 
2.7%
카 3
 
2.0%
Other values (64) 92
62.2%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 148
95.5%
Common 7
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 8
 
5.4%
수 8
 
5.4%
칼 7
 
4.7%
장 6
 
4.1%
비 6
 
4.1%
아 5
 
3.4%
밥 5
 
3.4%
리 4
 
2.7%
닭 4
 
2.7%
카 3
 
2.0%
Other values (64) 92
62.2%
Common
ValueCountFrequency (%)
( 2
28.6%
) 2
28.6%
1 2
28.6%
1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 148
95.5%
ASCII 7
 
4.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 8
 
5.4%
수 8
 
5.4%
칼 7
 
4.7%
장 6
 
4.1%
비 6
 
4.1%
아 5
 
3.4%
밥 5
 
3.4%
리 4
 
2.7%
닭 4
 
2.7%
카 3
 
2.0%
Other values (64) 92
62.2%
ASCII
ValueCountFrequency (%)
( 2
28.6%
) 2
28.6%
1 2
28.6%
1
14.3%

가격1
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct18
Distinct (%)47.4%
Missing1
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean10289.474
Minimum1000
Maximum55000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2023-12-12T22:19:29.732130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile2350
Q15000
median7000
Q310000
95-th percentile30000
Maximum55000
Range54000
Interquartile range (IQR)5000

Descriptive statistics

Standard deviation10533.493
Coefficient of variation (CV)1.0237155
Kurtosis8.4349955
Mean10289.474
Median Absolute Deviation (MAD)2500
Skewness2.7077521
Sum391000
Variance1.1095448 × 108
MonotonicityNot monotonic
2023-12-12T22:19:29.831521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
5000 5
12.8%
7000 5
12.8%
10000 5
12.8%
6000 4
10.3%
30000 3
 
7.7%
12000 2
 
5.1%
3000 2
 
5.1%
2500 2
 
5.1%
5500 1
 
2.6%
25000 1
 
2.6%
Other values (8) 8
20.5%
ValueCountFrequency (%)
1000 1
 
2.6%
1500 1
 
2.6%
2500 2
 
5.1%
3000 2
 
5.1%
5000 5
12.8%
5500 1
 
2.6%
6000 4
10.3%
6500 1
 
2.6%
7000 5
12.8%
7500 1
 
2.6%
ValueCountFrequency (%)
55000 1
 
2.6%
30000 3
7.7%
25000 1
 
2.6%
13000 1
 
2.6%
12000 2
 
5.1%
10000 5
12.8%
9000 1
 
2.6%
8000 1
 
2.6%
7500 1
 
2.6%
7000 5
12.8%

품목2
Text

MISSING 

Distinct21
Distinct (%)95.5%
Missing17
Missing (%)43.6%
Memory size444.0 B
2023-12-12T22:19:30.001768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.4090909
Min length1

Characters and Unicode

Total characters97
Distinct characters64
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

Unique20 ?
Unique (%)90.9%

Sample

1st row잔치국수
2nd row비빔국수
3rd row떡볶이전골
4th row삼겹살
5th row닭갈비
ValueCountFrequency (%)
잔치국수 2
 
9.1%
두부전골 1
 
4.5%
비빔국수 1
 
4.5%
닭곰탕 1
 
4.5%
모듬회(중 1
 
4.5%
모듬회(소 1
 
4.5%
오레오브라우니 1
 
4.5%
가오리찜 1
 
4.5%
돌솥비빔밥 1
 
4.5%
함박스테이크 1
 
4.5%
Other values (11) 11
50.0%
2023-12-12T22:19:30.294498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 5
 
5.2%
수 5
 
5.2%
비 4
 
4.1%
치 3
 
3.1%
이 3
 
3.1%
오 3
 
3.1%
닭 3
 
3.1%
잔 2
 
2.1%
트 2
 
2.1%
빔 2
 
2.1%
Other values (54) 65
67.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 92
94.8%
Open Punctuation 2
 
2.1%
Close Punctuation 2
 
2.1%
Other Punctuation 1
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 5
 
5.4%
수 5
 
5.4%
비 4
 
4.3%
치 3
 
3.3%
이 3
 
3.3%
오 3
 
3.3%
닭 3
 
3.3%
잔 2
 
2.2%
트 2
 
2.2%
빔 2
 
2.2%
Other values (51) 60
65.2%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 92
94.8%
Common 5
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 5
 
5.4%
수 5
 
5.4%
비 4
 
4.3%
치 3
 
3.3%
이 3
 
3.3%
오 3
 
3.3%
닭 3
 
3.3%
잔 2
 
2.2%
트 2
 
2.2%
빔 2
 
2.2%
Other values (51) 60
65.2%
Common
ValueCountFrequency (%)
( 2
40.0%
) 2
40.0%
, 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 92
94.8%
ASCII 5
 
5.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 5
 
5.4%
수 5
 
5.4%
비 4
 
4.3%
치 3
 
3.3%
이 3
 
3.3%
오 3
 
3.3%
닭 3
 
3.3%
잔 2
 
2.2%
트 2
 
2.2%
빔 2
 
2.2%
Other values (51) 60
65.2%
ASCII
ValueCountFrequency (%)
( 2
40.0%
) 2
40.0%
, 1
20.0%

가격2
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct17
Distinct (%)77.3%
Missing17
Missing (%)43.6%
Infinite0
Infinite (%)0.0%
Mean10500
Minimum2000
Maximum33000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2023-12-12T22:19:30.395811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000
5-th percentile2525
Q15000
median7500
Q311750
95-th percentile29750
Maximum33000
Range31000
Interquartile range (IQR)6750

Descriptive statistics

Standard deviation8715.0663
Coefficient of variation (CV)0.83000632
Kurtosis1.7002406
Mean10500
Median Absolute Deviation (MAD)3000
Skewness1.5907054
Sum231000
Variance75952381
MonotonicityNot monotonic
2023-12-12T22:19:30.504462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
5000 3
 
7.7%
12000 2
 
5.1%
6000 2
 
5.1%
7000 2
 
5.1%
30000 1
 
2.6%
8000 1
 
2.6%
25000 1
 
2.6%
33000 1
 
2.6%
2500 1
 
2.6%
3000 1
 
2.6%
Other values (7) 7
17.9%
(Missing) 17
43.6%
ValueCountFrequency (%)
2000 1
 
2.6%
2500 1
 
2.6%
3000 1
 
2.6%
4000 1
 
2.6%
5000 3
7.7%
6000 2
5.1%
7000 2
5.1%
8000 1
 
2.6%
8500 1
 
2.6%
9000 1
 
2.6%
ValueCountFrequency (%)
33000 1
2.6%
30000 1
2.6%
25000 1
2.6%
20000 1
2.6%
12000 2
5.1%
11000 1
2.6%
10000 1
2.6%
9000 1
2.6%
8500 1
2.6%
8000 1
2.6%

품목3
Text

MISSING 

Distinct13
Distinct (%)92.9%
Missing25
Missing (%)64.1%
Memory size444.0 B
2023-12-12T22:19:30.687976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length3.7142857
Min length2

Characters and Unicode

Total characters52
Distinct characters41
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)85.7%

Sample

1st row만굿국
2nd row꼬마김밥
3rd row염색
4th row우동정식
5th row가자미덮밥
ValueCountFrequency (%)
염색 2
14.3%
만굿국 1
 
7.1%
꼬마김밥 1
 
7.1%
우동정식 1
 
7.1%
가자미덮밥 1
 
7.1%
어른커트 1
 
7.1%
닭삼 1
 
7.1%
장칼국수 1
 
7.1%
낙지볶음 1
 
7.1%
수정과카라멜 1
 
7.1%
Other values (3) 3
21.4%
2023-12-12T22:19:31.031555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
염 2
 
3.8%
밥 2
 
3.8%
닭 2
 
3.8%
색 2
 
3.8%
볶 2
 
3.8%
음 2
 
3.8%
우 2
 
3.8%
정 2
 
3.8%
탕 2
 
3.8%
국 2
 
3.8%
Other values (31) 32
61.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 51
98.1%
Space Separator 1
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
염 2
 
3.9%
밥 2
 
3.9%
닭 2
 
3.9%
색 2
 
3.9%
볶 2
 
3.9%
음 2
 
3.9%
우 2
 
3.9%
정 2
 
3.9%
탕 2
 
3.9%
국 2
 
3.9%
Other values (30) 31
60.8%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 51
98.1%
Common 1
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
염 2
 
3.9%
밥 2
 
3.9%
닭 2
 
3.9%
색 2
 
3.9%
볶 2
 
3.9%
음 2
 
3.9%
우 2
 
3.9%
정 2
 
3.9%
탕 2
 
3.9%
국 2
 
3.9%
Other values (30) 31
60.8%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 51
98.1%
ASCII 1
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
염 2
 
3.9%
밥 2
 
3.9%
닭 2
 
3.9%
색 2
 
3.9%
볶 2
 
3.9%
음 2
 
3.9%
우 2
 
3.9%
정 2
 
3.9%
탕 2
 
3.9%
국 2
 
3.9%
Other values (30) 31
60.8%
ASCII
ValueCountFrequency (%)
1
100.0%

가격3
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)78.6%
Missing25
Missing (%)64.1%
Infinite0
Infinite (%)0.0%
Mean10464.286
Minimum1000
Maximum35000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2023-12-12T22:19:31.181789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile3275
Q16000
median9000
Q310750
95-th percentile25250
Maximum35000
Range34000
Interquartile range (IQR)4750

Descriptive statistics

Standard deviation8381.4454
Coefficient of variation (CV)0.80095724
Kurtosis5.6289355
Mean10464.286
Median Absolute Deviation (MAD)3000
Skewness2.1638117
Sum146500
Variance70248626
MonotonicityNot monotonic
2023-12-12T22:19:31.302850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
10000 3
 
7.7%
6000 2
 
5.1%
1000 1
 
2.6%
8000 1
 
2.6%
4500 1
 
2.6%
13000 1
 
2.6%
11000 1
 
2.6%
5000 1
 
2.6%
7000 1
 
2.6%
20000 1
 
2.6%
(Missing) 25
64.1%
ValueCountFrequency (%)
1000 1
 
2.6%
4500 1
 
2.6%
5000 1
 
2.6%
6000 2
5.1%
7000 1
 
2.6%
8000 1
 
2.6%
10000 3
7.7%
11000 1
 
2.6%
13000 1
 
2.6%
20000 1
 
2.6%
ValueCountFrequency (%)
35000 1
 
2.6%
20000 1
 
2.6%
13000 1
 
2.6%
11000 1
 
2.6%
10000 3
7.7%
8000 1
 
2.6%
7000 1
 
2.6%
6000 2
5.1%
5000 1
 
2.6%
4500 1
 
2.6%

영업시간
Text

MISSING 

Distinct23
Distinct (%)74.2%
Missing8
Missing (%)20.5%
Memory size444.0 B
2023-12-12T22:19:31.527314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.548387
Min length4

Characters and Unicode

Total characters327
Distinct characters14
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

Unique18 ?
Unique (%)58.1%

Sample

1st row08:00~18:00
2nd row09:00~18:00
3rd row09:30~19:00
4th row16:00~21:00
5th row11:00~22:00
ValueCountFrequency (%)
11:00~21:00 4
 
12.9%
09:00~19:00 3
 
9.7%
08:00~18:00 2
 
6.5%
24시간 2
 
6.5%
09:00~18:00 2
 
6.5%
09:00~22:00 1
 
3.2%
10:00~12:00 1
 
3.2%
11:00~19:00 1
 
3.2%
08:00~23:00 1
 
3.2%
10:00~19:00 1
 
3.2%
Other values (13) 13
41.9%
2023-12-12T22:19:31.974595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 130
39.8%
: 58
17.7%
1 45
 
13.8%
~ 29
 
8.9%
2 21
 
6.4%
9 14
 
4.3%
8 10
 
3.1%
3 8
 
2.4%
4 3
 
0.9%
시 2
 
0.6%
Other values (4) 7
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 236
72.2%
Other Punctuation 58
 
17.7%
Math Symbol 29
 
8.9%
Other Letter 4
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 130
55.1%
1 45
 
19.1%
2 21
 
8.9%
9 14
 
5.9%
8 10
 
4.2%
3 8
 
3.4%
4 3
 
1.3%
6 2
 
0.8%
7 2
 
0.8%
5 1
 
0.4%
Other Letter
ValueCountFrequency (%)
시 2
50.0%
간 2
50.0%
Other Punctuation
ValueCountFrequency (%)
: 58
100.0%
Math Symbol
ValueCountFrequency (%)
~ 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 323
98.8%
Hangul 4
 
1.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 130
40.2%
: 58
18.0%
1 45
 
13.9%
~ 29
 
9.0%
2 21
 
6.5%
9 14
 
4.3%
8 10
 
3.1%
3 8
 
2.5%
4 3
 
0.9%
6 2
 
0.6%
Other values (2) 3
 
0.9%
Hangul
ValueCountFrequency (%)
시 2
50.0%
간 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 323
98.8%
Hangul 4
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 130
40.2%
: 58
18.0%
1 45
 
13.9%
~ 29
 
9.0%
2 21
 
6.5%
9 14
 
4.3%
8 10
 
3.1%
3 8
 
2.5%
4 3
 
0.9%
6 2
 
0.6%
Other values (2) 3
 
0.9%
Hangul
ValueCountFrequency (%)
시 2
50.0%
간 2
50.0%

배달가능여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size171.0 B
False
31 
True
8 
ValueCountFrequency (%)
False 31
79.5%
True 8
 
20.5%
2023-12-12T22:19:32.105160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

주차가능여부
Boolean

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size171.0 B
False
22 
True
17 
ValueCountFrequency (%)
False 22
56.4%
True 17
43.6%
2023-12-12T22:19:32.233963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-10-16
39 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-16
2nd row2023-10-16
3rd row2023-10-16
4th row2023-10-16
5th row2023-10-16

Common Values

ValueCountFrequency (%)
2023-10-16 39
100.0%

Length

2023-12-12T22:19:32.350105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:19:32.469842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-16 39
100.0%

Interactions

2023-12-12T22:19:24.971721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:19:23.500848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:19:23.874522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:19:24.584430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:19:25.061249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:19:23.597956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:19:24.307771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:19:24.686073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:19:25.166767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:19:23.687051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:19:24.384776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:19:24.775630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:19:25.259733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:19:23.776755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:19:24.473921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:19:24.870457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:19:32.579892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호업소명대표자도로명주소연락처품목1가격1품목2가격2품목3가격3영업시간배달가능여부주차가능여부
번호1.0001.0001.0001.0001.0000.3900.2060.8560.0000.9000.2310.7680.5780.576
업소명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
품목10.3901.0001.0001.0001.0001.0000.9970.9660.6771.0001.0000.9431.0000.328
가격10.2061.0001.0001.0001.0000.9971.0001.0000.6231.0000.5520.5740.5310.000
품목20.8561.0001.0001.0001.0000.9661.0001.0001.0001.0001.0000.9761.0000.000
가격20.0001.0001.0001.0001.0000.6770.6231.0001.0000.0000.7890.6830.6190.195
품목30.9001.0001.0001.0001.0001.0001.0001.0000.0001.0001.0000.9291.0001.000
가격30.2311.0001.0001.0001.0001.0000.5521.0000.7891.0001.0000.9020.0000.000
영업시간0.7681.0001.0001.0001.0000.9430.5740.9760.6830.9290.9021.0000.6810.000
배달가능여부0.5781.0001.0001.0001.0001.0000.5311.0000.6191.0000.0000.6811.0000.530
주차가능여부0.5761.0001.0001.0001.0000.3280.0000.0000.1951.0000.0000.0000.5301.000
2023-12-12T22:19:32.724768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
배달가능여부주차가능여부
배달가능여부1.0000.355
주차가능여부0.3551.000
2023-12-12T22:19:32.808656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호가격1가격2가격3배달가능여부주차가능여부
번호1.000-0.0300.2030.4330.3330.376
가격1-0.0301.0000.8530.3570.3680.000
가격20.2030.8531.0000.3120.5840.180
가격30.4330.3570.3121.0000.0000.000
배달가능여부0.3330.3680.5840.0001.0000.355
주차가능여부0.3760.0000.1800.0000.3551.000

Missing values

2023-12-12T22:19:25.426784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:19:25.634160image/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.
2023-12-12T22:19:25.801954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

번호업소명대표자도로명주소연락처품목1가격1품목2가격2품목3가격3영업시간배달가능여부주차가능여부데이터기준일자
01한아름칼국수홍명숙강원특별자치도 동해시 발한복개로 26033-532-4954홍합칼국수5000잔치국수4000만굿국600008:00~18:00NY2023-10-16
12까치분식안영해강원특별자치도 동해시 중앙시장길 2-1033-535-3096잔치국수1000비빔국수2000<NA><NA>09:00~18:00NY2023-10-16
23정문분식박명희강원특별자치도 동해시 효자남길 50-1033-522-0059제육볶음밥5000떡볶이전골10000꼬마김밥100009:30~19:00NN2023-10-16
34삼송갈비김국자강원특별자치도 동해시 송정로 39033-522-4077돼지갈비12000삼겹살11000<NA><NA>16:00~21:00NN2023-10-16
45동해닭갈비최연숙강원특별자치도 동해시 효자남길 36033-522-6868무뻐닭갈비10000닭갈비9000<NA><NA>11:00~22:00NY2023-10-16
56항골이용원김흥태강원특별자치도 동해시 항골길 52033-532-1820커트10000커트,면도12000염색800010:00~20:00NN2023-10-16
67웰빙주먹밥서경월강원특별자치도 동해시 효자남길 41033-521-1536등심돈가스5500소바정식6000우동정식450011:00~21:00NY2023-10-16
78오대게박정란강원특별자치도 동해시 일출로 88033-532-0057홍게라면5000홍게칼국수5000가자미덮밥1300008:30~20:30NY2023-10-16
89우리칼국수김정숙강원특별자치도 동해시 시장안길 35033-533-4784장칼국수6000들깨칼국수5000<NA><NA>09:00~18:30NY2023-10-16
910김유진헤어샵김유진강원특별자치도 동해시 발한로 208033-534-2456펌25000학생커트7000어른커트1000009:00~19:00NN2023-10-16
번호업소명대표자도로명주소연락처품목1가격1품목2가격2품목3가격3영업시간배달가능여부주차가능여부데이터기준일자
2930태백루이국연?강원특별자치도 동해시 동굴로 61-21033-532-4003짜장면5000<NA><NA><NA><NA>11:00~21:00NN2023-10-16
3031커피빈(been)김지원?강원특별자치도 동해시 일출로 107033-532-2220아메리카노2500<NA><NA><NA><NA><NA>NY2023-10-16
3132동화속베이커리&카페유종철?강원특별자치도 동해시 평원6길 21033-535-0455단팥빵<NA><NA><NA><NA><NA>08:00~23:00NY2023-10-16
3233예가네닭칼국수장영곤?강원특별자치도 동해시 천곡2길 3033-533-1712닭칼국수8000<NA><NA><NA><NA>11:00~19:00NN2023-10-16
3334상봉식당이성분?강원특별자치도 동해시 천곡2길 3-1033-532-2621비빔밥7000<NA><NA><NA><NA><NA>YN2023-10-16
3435장미미용타운심미화?강원특별자치도 동해시 대동로 136033-521-6291커트7000<NA><NA><NA><NA><NA>NN2023-10-16
3536하이바이 무인카페송지희?강원특별자치도 동해시 일출로 2790507-1404-2632아메리카노1500<NA><NA><NA><NA>24시간NN2023-10-16
3637만복래칼국수함춘식?강원특별자치도 동해시 시장안길 27033-532-2629칼국수5000<NA><NA><NA><NA>11:00~21:00NN2023-10-16
3738흥부네찜김향란?강원특별자치도 동해시 발한복개로 28033-535-5802홍합장칼국수6000<NA><NA><NA><NA><NA>NN2023-10-16
3839구울래머글래윤귀연?강원특별자치도 동해시 천곡로 24033-535-5888생삼겹살12000<NA><NA><NA><NA>17:00~22:00NN2023-10-16