Overview

Dataset statistics

Number of variables12
Number of observations39
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory102.4 B

Variable types

Categorical3
Text5
Numeric3
DateTime1

Dataset

Description강원도 춘천시 착한가격업소 목록으로 시도명, 시군구명, 업종, 업소명, 주요품목, 가격, 도로명주소, 지번주소, 위도, 경도, 연락처, 데이터기준일자에 대한 자료
Author강원도 춘천시
URLhttps://www.data.go.kr/data/15074776/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
가격 is highly overall correlated with 업종High correlation
업종 is highly overall correlated with 가격 High correlation
업소명 has unique valuesUnique
도로명주소 has unique valuesUnique
지번주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:31:14.976126
Analysis finished2023-12-12 15:31:16.896164
Duration1.92 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
강원도
39 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강원도
2nd row강원도
3rd row강원도
4th row강원도
5th row강원도

Common Values

ValueCountFrequency (%)
강원도 39
100.0%

Length

2023-12-13T00:31:16.945309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:31:17.028509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원도 39
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
춘천시
39 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row춘천시
2nd row춘천시
3rd row춘천시
4th row춘천시
5th row춘천시

Common Values

ValueCountFrequency (%)
춘천시 39
100.0%

Length

2023-12-13T00:31:17.129825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:31:17.222501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
춘천시 39
100.0%

업종
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Memory size444.0 B
한식_일반
11 
이미용업
9 
한식_육류
4 
한식_면류
2 
한식_찌개류
2 
Other values (7)
11 

Length

Max length6
Median length5
Mean length4.2564103
Min length2

Unique

Unique3 ?
Unique (%)7.7%

Sample

1st row한식_일반
2nd row한식_육류
3rd row이미용업
4th row한식_일반
5th row한식_일반

Common Values

ValueCountFrequency (%)
한식_일반 11
28.2%
이미용업 9
23.1%
한식_육류 4
 
10.3%
한식_면류 2
 
5.1%
한식_찌개류 2
 
5.1%
중식 2
 
5.1%
숙박업 2
 
5.1%
한식_기타 2
 
5.1%
한식 2
 
5.1%
목욕업 1
 
2.6%
Other values (2) 2
 
5.1%

Length

2023-12-13T00:31:17.336092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식_일반 11
28.2%
이미용업 9
23.1%
한식_육류 4
 
10.3%
한식_면류 2
 
5.1%
한식_찌개류 2
 
5.1%
중식 2
 
5.1%
숙박업 2
 
5.1%
한식_기타 2
 
5.1%
한식 2
 
5.1%
목욕업 1
 
2.6%
Other values (2) 2
 
5.1%

업소명
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-13T00:31:17.557417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length5.0769231
Min length2

Characters and Unicode

Total characters198
Distinct characters120
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

Unique39 ?
Unique (%)100.0%

Sample

1st row행복한두부
2nd row곱돌생삼겹살
3rd row현주헤어숍
4th row곰집
5th row뚝배기마을
ValueCountFrequency (%)
닭갈비 2
 
4.8%
행복한두부 1
 
2.4%
잇 1
 
2.4%
펑펑펑미용실 1
 
2.4%
계림산장 1
 
2.4%
천하일미 1
 
2.4%
화롯불 1
 
2.4%
청재 1
 
2.4%
약사촌 1
 
2.4%
두리감자탕 1
 
2.4%
Other values (31) 31
73.8%
2023-12-13T00:31:17.912597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
미 7
 
3.5%
국 6
 
3.0%
실 5
 
2.5%
용 5
 
2.5%
리 5
 
2.5%
천 4
 
2.0%
이 4
 
2.0%
펑 3
 
1.5%
혜 3
 
1.5%
대 3
 
1.5%
Other values (110) 153
77.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 193
97.5%
Space Separator 3
 
1.5%
Decimal Number 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
미 7
 
3.6%
국 6
 
3.1%
실 5
 
2.6%
용 5
 
2.6%
리 5
 
2.6%
천 4
 
2.1%
이 4
 
2.1%
펑 3
 
1.6%
혜 3
 
1.6%
대 3
 
1.6%
Other values (107) 148
76.7%
Decimal Number
ValueCountFrequency (%)
8 1
50.0%
5 1
50.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 193
97.5%
Common 5
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
미 7
 
3.6%
국 6
 
3.1%
실 5
 
2.6%
용 5
 
2.6%
리 5
 
2.6%
천 4
 
2.1%
이 4
 
2.1%
펑 3
 
1.6%
혜 3
 
1.6%
대 3
 
1.6%
Other values (107) 148
76.7%
Common
ValueCountFrequency (%)
3
60.0%
8 1
 
20.0%
5 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 193
97.5%
ASCII 5
 
2.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
미 7
 
3.6%
국 6
 
3.1%
실 5
 
2.6%
용 5
 
2.6%
리 5
 
2.6%
천 4
 
2.1%
이 4
 
2.1%
펑 3
 
1.6%
혜 3
 
1.6%
대 3
 
1.6%
Other values (107) 148
76.7%
ASCII
ValueCountFrequency (%)
3
60.0%
8 1
 
20.0%
5 1
 
20.0%

주요품목
Text

Distinct29
Distinct (%)74.4%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-13T00:31:18.113085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length4.3589744
Min length2

Characters and Unicode

Total characters170
Distinct characters86
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

Unique26 ?
Unique (%)66.7%

Sample

1st row두부찌개
2nd row삼겹살(200g)
3rd row커트
4th row칼국수
5th row뚝불고기
ValueCountFrequency (%)
커트 9
22.5%
닭갈비 2
 
5.0%
칼국수 2
 
5.0%
짜장면 2
 
5.0%
두부찌개 1
 
2.5%
뒷고기(180g 1
 
2.5%
순대국 1
 
2.5%
양념불고기 1
 
2.5%
주중숙박 1
 
2.5%
향어회(1kg 1
 
2.5%
Other values (19) 19
47.5%
2023-12-13T00:31:18.507109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
트 10
 
5.9%
커 9
 
5.3%
국 7
 
4.1%
( 7
 
4.1%
) 7
 
4.1%
찌 5
 
2.9%
개 5
 
2.9%
기 4
 
2.4%
수 4
 
2.4%
장 4
 
2.4%
Other values (76) 108
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 140
82.4%
Decimal Number 10
 
5.9%
Open Punctuation 7
 
4.1%
Close Punctuation 7
 
4.1%
Lowercase Letter 3
 
1.8%
Uppercase Letter 2
 
1.2%
Space Separator 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 10
 
7.1%
커 9
 
6.4%
국 7
 
5.0%
찌 5
 
3.6%
개 5
 
3.6%
기 4
 
2.9%
수 4
 
2.9%
장 4
 
2.9%
닭 3
 
2.1%
고 3
 
2.1%
Other values (66) 86
61.4%
Decimal Number
ValueCountFrequency (%)
0 4
40.0%
1 3
30.0%
8 2
20.0%
2 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
G 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Lowercase Letter
ValueCountFrequency (%)
g 3
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 140
82.4%
Common 25
 
14.7%
Latin 5
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 10
 
7.1%
커 9
 
6.4%
국 7
 
5.0%
찌 5
 
3.6%
개 5
 
3.6%
기 4
 
2.9%
수 4
 
2.9%
장 4
 
2.9%
닭 3
 
2.1%
고 3
 
2.1%
Other values (66) 86
61.4%
Common
ValueCountFrequency (%)
( 7
28.0%
) 7
28.0%
0 4
16.0%
1 3
12.0%
8 2
 
8.0%
2 1
 
4.0%
1
 
4.0%
Latin
ValueCountFrequency (%)
g 3
60.0%
K 1
 
20.0%
G 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 140
82.4%
ASCII 30
 
17.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
트 10
 
7.1%
커 9
 
6.4%
국 7
 
5.0%
찌 5
 
3.6%
개 5
 
3.6%
기 4
 
2.9%
수 4
 
2.9%
장 4
 
2.9%
닭 3
 
2.1%
고 3
 
2.1%
Other values (66) 86
61.4%
ASCII
ValueCountFrequency (%)
( 7
23.3%
) 7
23.3%
0 4
13.3%
1 3
10.0%
g 3
10.0%
8 2
 
6.7%
K 1
 
3.3%
G 1
 
3.3%
2 1
 
3.3%
1
 
3.3%

가격
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)35.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8525.641
Minimum2000
Maximum30000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2023-12-13T00:31:18.620507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000
5-th percentile4000
Q15000
median7000
Q39000
95-th percentile22800
Maximum30000
Range28000
Interquartile range (IQR)4000

Descriptive statistics

Standard deviation6120.4454
Coefficient of variation (CV)0.71788683
Kurtosis6.9365781
Mean8525.641
Median Absolute Deviation (MAD)2000
Skewness2.5819029
Sum332500
Variance37459852
MonotonicityNot monotonic
2023-12-13T00:31:18.717690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
6000 6
15.4%
5000 6
15.4%
7000 5
12.8%
4000 4
10.3%
8000 4
10.3%
9000 3
7.7%
11000 3
7.7%
30000 2
 
5.1%
4500 1
 
2.6%
10000 1
 
2.6%
Other values (4) 4
10.3%
ValueCountFrequency (%)
2000 1
 
2.6%
4000 4
10.3%
4500 1
 
2.6%
5000 6
15.4%
6000 6
15.4%
7000 5
12.8%
8000 4
10.3%
9000 3
7.7%
10000 1
 
2.6%
11000 3
7.7%
ValueCountFrequency (%)
30000 2
 
5.1%
22000 1
 
2.6%
13000 1
 
2.6%
12000 1
 
2.6%
11000 3
7.7%
10000 1
 
2.6%
9000 3
7.7%
8000 4
10.3%
7000 5
12.8%
6000 6
15.4%

도로명주소
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-13T00:31:18.990911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length22
Mean length18.461538
Min length13

Characters and Unicode

Total characters720
Distinct characters83
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

Unique39 ?
Unique (%)100.0%

Sample

1st row강원도 춘천시 둥지길 4
2nd row강원도 춘천시 백령로138번길 6
3rd row강원도 춘천시 효석로 89번길 19
4th row강원도 춘천시 서부대성로 86-1
5th row강원도 춘천시 옥천길 3
ValueCountFrequency (%)
강원도 39
23.2%
춘천시 39
23.2%
명동길29번길 3
 
1.8%
42 2
 
1.2%
신북읍 2
 
1.2%
공지로 2
 
1.2%
11 2
 
1.2%
영서로 2
 
1.2%
3 2
 
1.2%
2279번길 1
 
0.6%
Other values (74) 74
44.0%
2023-12-13T00:31:19.470306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
129
17.9%
춘 46
 
6.4%
천 45
 
6.2%
원 40
 
5.6%
강 39
 
5.4%
도 39
 
5.4%
시 39
 
5.4%
길 31
 
4.3%
로 25
 
3.5%
1 24
 
3.3%
Other values (73) 263
36.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 434
60.3%
Decimal Number 136
 
18.9%
Space Separator 129
 
17.9%
Dash Punctuation 9
 
1.2%
Close Punctuation 5
 
0.7%
Open Punctuation 5
 
0.7%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
춘 46
10.6%
천 45
10.4%
원 40
 
9.2%
강 39
 
9.0%
도 39
 
9.0%
시 39
 
9.0%
길 31
 
7.1%
로 25
 
5.8%
번 18
 
4.1%
동 11
 
2.5%
Other values (58) 101
23.3%
Decimal Number
ValueCountFrequency (%)
1 24
17.6%
2 19
14.0%
9 16
11.8%
4 15
11.0%
3 15
11.0%
8 11
8.1%
5 10
7.4%
6 9
 
6.6%
7 9
 
6.6%
0 8
 
5.9%
Space Separator
ValueCountFrequency (%)
129
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 434
60.3%
Common 286
39.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
춘 46
10.6%
천 45
10.4%
원 40
 
9.2%
강 39
 
9.0%
도 39
 
9.0%
시 39
 
9.0%
길 31
 
7.1%
로 25
 
5.8%
번 18
 
4.1%
동 11
 
2.5%
Other values (58) 101
23.3%
Common
ValueCountFrequency (%)
129
45.1%
1 24
 
8.4%
2 19
 
6.6%
9 16
 
5.6%
4 15
 
5.2%
3 15
 
5.2%
8 11
 
3.8%
5 10
 
3.5%
6 9
 
3.1%
- 9
 
3.1%
Other values (5) 29
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 434
60.3%
ASCII 286
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
129
45.1%
1 24
 
8.4%
2 19
 
6.6%
9 16
 
5.6%
4 15
 
5.2%
3 15
 
5.2%
8 11
 
3.8%
5 10
 
3.5%
6 9
 
3.1%
- 9
 
3.1%
Other values (5) 29
 
10.1%
Hangul
ValueCountFrequency (%)
춘 46
10.6%
천 45
10.4%
원 40
 
9.2%
강 39
 
9.0%
도 39
 
9.0%
시 39
 
9.0%
길 31
 
7.1%
로 25
 
5.8%
번 18
 
4.1%
동 11
 
2.5%
Other values (58) 101
23.3%

지번주소
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-13T00:31:19.748482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length18.358974
Min length15

Characters and Unicode

Total characters716
Distinct characters71
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

Unique39 ?
Unique (%)100.0%

Sample

1st row강원도 춘천시 효자동 651-6
2nd row강원도 춘천시 효자동 626-23
3rd row강원도 춘천시 석사동 698-7
4th row강원도 춘천시 조양동 5-11
5th row강원도 춘천시 중앙로1가 90-1
ValueCountFrequency (%)
강원도 39
23.8%
춘천시 39
23.8%
효자동 5
 
3.0%
석사동 5
 
3.0%
온의동 4
 
2.4%
후평동 4
 
2.4%
퇴계동 4
 
2.4%
죽림동 3
 
1.8%
우두동 2
 
1.2%
신북읍 2
 
1.2%
Other values (56) 57
34.8%
2023-12-13T00:31:20.241255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
125
17.5%
1 44
 
6.1%
천 41
 
5.7%
원 39
 
5.4%
시 39
 
5.4%
강 39
 
5.4%
춘 39
 
5.4%
도 39
 
5.4%
동 34
 
4.7%
- 33
 
4.6%
Other values (61) 244
34.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 388
54.2%
Decimal Number 167
23.3%
Space Separator 125
 
17.5%
Dash Punctuation 33
 
4.6%
Open Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 41
10.6%
원 39
 
10.1%
시 39
 
10.1%
강 39
 
10.1%
춘 39
 
10.1%
도 39
 
10.1%
동 34
 
8.8%
사 7
 
1.8%
의 5
 
1.3%
리 5
 
1.3%
Other values (46) 101
26.0%
Decimal Number
ValueCountFrequency (%)
1 44
26.3%
6 18
10.8%
5 18
10.8%
2 17
 
10.2%
4 17
 
10.2%
9 14
 
8.4%
7 12
 
7.2%
0 11
 
6.6%
3 9
 
5.4%
8 7
 
4.2%
Space Separator
ValueCountFrequency (%)
125
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 388
54.2%
Common 328
45.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 41
10.6%
원 39
 
10.1%
시 39
 
10.1%
강 39
 
10.1%
춘 39
 
10.1%
도 39
 
10.1%
동 34
 
8.8%
사 7
 
1.8%
의 5
 
1.3%
리 5
 
1.3%
Other values (46) 101
26.0%
Common
ValueCountFrequency (%)
125
38.1%
1 44
 
13.4%
- 33
 
10.1%
6 18
 
5.5%
5 18
 
5.5%
2 17
 
5.2%
4 17
 
5.2%
9 14
 
4.3%
7 12
 
3.7%
0 11
 
3.4%
Other values (5) 19
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 388
54.2%
ASCII 328
45.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
125
38.1%
1 44
 
13.4%
- 33
 
10.1%
6 18
 
5.5%
5 18
 
5.5%
2 17
 
5.2%
4 17
 
5.2%
9 14
 
4.3%
7 12
 
3.7%
0 11
 
3.4%
Other values (5) 19
 
5.8%
Hangul
ValueCountFrequency (%)
천 41
10.6%
원 39
 
10.1%
시 39
 
10.1%
강 39
 
10.1%
춘 39
 
10.1%
도 39
 
10.1%
동 34
 
8.8%
사 7
 
1.8%
의 5
 
1.3%
리 5
 
1.3%
Other values (46) 101
26.0%

위도
Real number (ℝ)

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.875899
Minimum37.835294
Maximum37.932582
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2023-12-13T00:31:20.406632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.835294
5-th percentile37.85391
Q137.863005
median37.873911
Q337.882595
95-th percentile37.909134
Maximum37.932582
Range0.097288
Interquartile range (IQR)0.0195895

Descriptive statistics

Standard deviation0.018967606
Coefficient of variation (CV)0.00050078299
Kurtosis1.89097
Mean37.875899
Median Absolute Deviation (MAD)0.009126
Skewness0.95476618
Sum1477.1601
Variance0.00035977008
MonotonicityNot monotonic
2023-12-13T00:31:20.579469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
37.874748 1
 
2.6%
37.873911 1
 
2.6%
37.880503 1
 
2.6%
37.871472 1
 
2.6%
37.862813 1
 
2.6%
37.907436 1
 
2.6%
37.898478 1
 
2.6%
37.871962 1
 
2.6%
37.888482 1
 
2.6%
37.894486 1
 
2.6%
Other values (29) 29
74.4%
ValueCountFrequency (%)
37.835294 1
2.6%
37.849046 1
2.6%
37.854451 1
2.6%
37.857925 1
2.6%
37.859306 1
2.6%
37.859342 1
2.6%
37.860272 1
2.6%
37.861032 1
2.6%
37.86118 1
2.6%
37.862813 1
2.6%
ValueCountFrequency (%)
37.932582 1
2.6%
37.924414 1
2.6%
37.907436 1
2.6%
37.900571 1
2.6%
37.898478 1
2.6%
37.894486 1
2.6%
37.888482 1
2.6%
37.884975 1
2.6%
37.883021 1
2.6%
37.882891 1
2.6%

경도
Real number (ℝ)

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.73424
Minimum127.69376
Maximum127.79164
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2023-12-13T00:31:20.715619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.69376
5-th percentile127.71644
Q1127.72522
median127.73208
Q3127.74392
95-th percentile127.75453
Maximum127.79164
Range0.097874
Interquartile range (IQR)0.018698

Descriptive statistics

Standard deviation0.016903442
Coefficient of variation (CV)0.0001323329
Kurtosis3.1020162
Mean127.73424
Median Absolute Deviation (MAD)0.009409
Skewness0.53683759
Sum4981.6354
Variance0.00028572636
MonotonicityNot monotonic
2023-12-13T00:31:20.873003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
127.735376 1
 
2.6%
127.74291 1
 
2.6%
127.726934 1
 
2.6%
127.696144 1
 
2.6%
127.720328 1
 
2.6%
127.739853 1
 
2.6%
127.693765 1
 
2.6%
127.724553 1
 
2.6%
127.751498 1
 
2.6%
127.753852 1
 
2.6%
Other values (29) 29
74.4%
ValueCountFrequency (%)
127.693765 1
2.6%
127.696144 1
2.6%
127.718697 1
2.6%
127.719364 1
2.6%
127.720328 1
2.6%
127.720731 1
2.6%
127.722378 1
2.6%
127.723138 1
2.6%
127.723818 1
2.6%
127.724553 1
2.6%
ValueCountFrequency (%)
127.791639 1
2.6%
127.760654 1
2.6%
127.753852 1
2.6%
127.751498 1
2.6%
127.750928 1
2.6%
127.748756 1
2.6%
127.746732 1
2.6%
127.7451 1
2.6%
127.744939 1
2.6%
127.744932 1
2.6%

연락처
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-13T00:31:21.142804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters468
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 row033-255-7710
2nd row033-255-4241
3rd row033-262-5535
4th row033-254-2643
5th row033-251-3938
ValueCountFrequency (%)
033-255-7710 1
 
2.6%
033-261-7122 1
 
2.6%
033-251-2252 1
 
2.6%
033-254-7392 1
 
2.6%
033-253-2538 1
 
2.6%
033-243-9289 1
 
2.6%
033-255-2867 1
 
2.6%
033-256-9255 1
 
2.6%
033-244-2847 1
 
2.6%
033-251-0430 1
 
2.6%
Other values (29) 29
74.4%
2023-12-13T00:31:21.538124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 104
22.2%
- 78
16.7%
2 67
14.3%
0 55
11.8%
5 47
10.0%
4 25
 
5.3%
1 23
 
4.9%
6 19
 
4.1%
9 18
 
3.8%
8 17
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 390
83.3%
Dash Punctuation 78
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 104
26.7%
2 67
17.2%
0 55
14.1%
5 47
12.1%
4 25
 
6.4%
1 23
 
5.9%
6 19
 
4.9%
9 18
 
4.6%
8 17
 
4.4%
7 15
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 468
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 104
22.2%
- 78
16.7%
2 67
14.3%
0 55
11.8%
5 47
10.0%
4 25
 
5.3%
1 23
 
4.9%
6 19
 
4.1%
9 18
 
3.8%
8 17
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 468
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 104
22.2%
- 78
16.7%
2 67
14.3%
0 55
11.8%
5 47
10.0%
4 25
 
5.3%
1 23
 
4.9%
6 19
 
4.1%
9 18
 
3.8%
8 17
 
3.6%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
Minimum2022-06-20 00:00:00
Maximum2022-06-20 00:00:00
2023-12-13T00:31:21.649000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:31:21.741074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T00:31:16.379058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:31:15.497974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:31:16.106448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:31:16.474106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:31:15.590849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:31:16.201039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:31:16.549488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:31:16.005947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:31:16.292043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:31:21.831161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종업소명주요품목가격도로명주소지번주소위도경도연락처
업종1.0001.0000.9940.8701.0001.0000.4640.6331.000
업소명1.0001.0001.0001.0001.0001.0001.0001.0001.000
주요품목0.9941.0001.0000.9401.0001.0000.8320.9221.000
가격0.8701.0000.9401.0001.0001.0000.0000.4801.000
도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
위도0.4641.0000.8320.0001.0001.0001.0000.6621.000
경도0.6331.0000.9220.4801.0001.0000.6621.0001.000
연락처1.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-13T00:31:21.936275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
가격위도경도업종
가격1.000-0.006-0.2250.625
위도-0.0061.0000.1430.183
경도-0.2250.1431.0000.331
업종0.6250.1830.3311.000

Missing values

2023-12-13T00:31:16.670426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:31:16.839743image/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

시도명시군구명업종업소명주요품목가격도로명주소지번주소위도경도연락처데이터기준일자
0강원도춘천시한식_일반행복한두부두부찌개6000강원도 춘천시 둥지길 4강원도 춘천시 효자동 651-637.874748127.735376033-255-77102022-06-20
1강원도춘천시한식_육류곱돌생삼겹살삼겹살(200g)9000강원도 춘천시 백령로138번길 6강원도 춘천시 효자동 626-2337.873911127.74291033-255-42412022-06-20
2강원도춘천시이미용업현주헤어숍커트7000강원도 춘천시 효석로 89번길 19강원도 춘천시 석사동 698-737.860272127.740638033-262-55352022-06-20
3강원도춘천시한식_일반곰집칼국수7000강원도 춘천시 서부대성로 86-1강원도 춘천시 조양동 5-1137.8815127.732083033-254-26432022-06-20
4강원도춘천시한식_일반뚝배기마을뚝불고기7000강원도 춘천시 옥천길 3강원도 춘천시 중앙로1가 90-137.880691127.728648033-251-39382022-06-20
5강원도춘천시이미용업가고파미용실커트4000강원도 춘천시 안마산로 214 금호상가 내강원도 춘천시 퇴계동 945 퇴계금호타운아파트37.849046127.737248033-262-94882022-06-20
6강원도춘천시이미용업개성시대커트7000강원도 춘천시 공지로 392-6강원도 춘천시 약사동 151-137.872216127.723818033-256-93042022-06-20
7강원도춘천시이미용업박혜숙헤어커트8000강원도 춘천시 춘천로309번길 7(후평동)강원도 춘천시 후평동 706-1337.882299127.746732033-257-13602022-06-20
8강원도춘천시한식_면류국수나라김치찌개5000강원도 춘천시 삭주로 130강원도 춘천시 후평동 711-2837.884975127.744932033-243-56712022-06-20
9강원도춘천시목욕업바위목욕탕목욕료(성인)6000강원도 춘천시 춘천로213번길 9강원도 춘천시 효자동 740-637.878181127.737064033-253-36102022-06-20
시도명시군구명업종업소명주요품목가격도로명주소지번주소위도경도연락처데이터기준일자
29강원도춘천시기타양식토스트 잇햄야채토스트2000강원도 춘천시 동면 춘천로449번길 20-1강원도 춘천시 동면 장학리 996-337.894486127.753852033-242-95922022-06-20
30강원도춘천시일식춘천민물횟집향어회(1KG)22000강원도 춘천시 효자로 42강원도 춘천시 효자동 697-137.867768127.728895033-252-33832022-06-20
31강원도춘천시숙박업서울파크주중숙박30000강원도 춘천시 신북읍 상천3길 11강원도 춘천시 신북읍 천전리 212-4437.932582127.791639033-244-54002022-06-20
32강원도춘천시한식_일반춘천농민한우신북점양념불고기9000강원도 춘천시 신북읍 신샘밭로 360강원도 춘천시 신북읍 율문리 935-1737.924414127.750928033-241-92892022-06-20
33강원도춘천시중식만리향짜장면4000강원도 춘천시 명동길29번길 4-5강원도 춘천시 죽림동 11-7837.877988127.725893033-251-22272022-06-20
34강원도춘천시한식_기타58국수집칼국수5000강원도 춘천시 명동길29번길 8-8강원도 춘천시 죽림동 11-5437.877853127.725906033-242-88452022-06-20
35강원도춘천시이미용업홍혜린머리방커트9000강원도 춘천시 터미널길14번길 3(온의동)강원도 춘천시 온의동 120-237.864785127.718697033-252-14102022-06-20
36강원도춘천시이미용업송혜진미용실커트8000강원도 춘천시 신흥길 5번길 8-6, 1층강원도 춘천시 우두동 1054-10, 1층37.900571127.727398033-261-78042022-06-20
37강원도춘천시한식우리순대국순대국6000강원도 춘천시 후석로45번길 15(석사동)강원도 춘천시 석사동 654-437.859306127.740554033-252-95452022-06-20
38강원도춘천시한식대박이네제육(찌개포함)8000강원도 춘천시 춘주로91번길 17, 1층(온의동)강원도 춘천시 온의동 517-2(온의동)37.863198127.720731033-253-99132022-06-20