Overview

Dataset statistics

Number of variables18
Number of observations64
Missing cells19
Missing cells (%)1.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.3 KiB
Average record size in memory149.1 B

Variable types

Numeric3
Categorical3
Text5
Boolean7

Dataset

Description해남을 대표하는 8가지 음식을 운영하는 식당 정보( 음식점명, 메뉴, 영업시작시각, 영업종료시각, 음식점 주소 등)
Author전라남도 해남군
URLhttps://www.data.go.kr/data/15059735/fileData.do

Alerts

순번 is highly overall correlated with 해남 8미High correlation
해남 8미 is highly overall correlated with 순번 and 1 other fieldsHigh correlation
영업시작시각 is highly overall correlated with 영업종료시각High correlation
영업종료시각 is highly overall correlated with 영업시작시각High correlation
주차장 is highly overall correlated with 화장실 분리High correlation
놀이방 is highly overall correlated with 해남 8미High correlation
화장실 분리 is highly overall correlated with 주차장High correlation
놀이방 is highly imbalanced (72.4%)Imbalance
순번 has 1 (1.6%) missing valuesMissing
음식점명 has 1 (1.6%) missing valuesMissing
메뉴 has 3 (4.7%) missing valuesMissing
도로명주소 has 1 (1.6%) missing valuesMissing
지번주소 has 1 (1.6%) missing valuesMissing
위도 has 1 (1.6%) missing valuesMissing
경도 has 1 (1.6%) missing valuesMissing
연락처 has 3 (4.7%) missing valuesMissing
주차장 has 1 (1.6%) missing valuesMissing
조식 has 1 (1.6%) missing valuesMissing
애완동물 has 1 (1.6%) missing valuesMissing
놀이방 has 1 (1.6%) missing valuesMissing
포장판매 has 1 (1.6%) missing valuesMissing
모범음식점 has 1 (1.6%) missing valuesMissing
화장실 분리 has 1 (1.6%) missing valuesMissing

Reproduction

Analysis started2023-12-12 14:29:59.342818
Analysis finished2023-12-12 14:30:03.005898
Duration3.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct63
Distinct (%)100.0%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean32
Minimum1
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T23:30:03.079348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.1
Q116.5
median32
Q347.5
95-th percentile59.9
Maximum63
Range62
Interquartile range (IQR)31

Descriptive statistics

Standard deviation18.330303
Coefficient of variation (CV)0.57282196
Kurtosis-1.2
Mean32
Median Absolute Deviation (MAD)16
Skewness0
Sum2016
Variance336
MonotonicityStrictly increasing
2023-12-12T23:30:03.244030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
2 1
 
1.6%
35 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
42 1
 
1.6%
Other values (53) 53
82.8%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
63 1
1.6%
62 1
1.6%
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%
54 1
1.6%

해남 8미
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
생고기
18 
삼치회
16 
닭요리촌
13 
보리쌈밥
7 
한정식
4 
Other values (4)
6 

Length

Max length6
Median length3
Mean length3.453125
Min length3

Unique

Unique2 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
생고기 18
28.1%
삼치회 16
25.0%
닭요리촌 13
20.3%
보리쌈밥 7
 
10.9%
한정식 4
 
6.2%
황칠오리백숙 2
 
3.1%
산채정식 2
 
3.1%
떡갈비 1
 
1.6%
<NA> 1
 
1.6%

Length

2023-12-12T23:30:03.429370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:30:03.568709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생고기 18
28.1%
삼치회 16
25.0%
닭요리촌 13
20.3%
보리쌈밥 7
 
10.9%
한정식 4
 
6.2%
황칠오리백숙 2
 
3.1%
산채정식 2
 
3.1%
떡갈비 1
 
1.6%
na 1
 
1.6%

음식점명
Text

MISSING 

Distinct63
Distinct (%)100.0%
Missing1
Missing (%)1.6%
Memory size644.0 B
2023-12-12T23:30:03.873998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length4
Mean length4.2539683
Min length2

Characters and Unicode

Total characters268
Distinct characters113
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

Unique63 ?
Unique (%)100.0%

Sample

1st row해물밭에 노는 닭
2nd row수정가든
3rd row정든집
4th row명성가든
5th row송림가든
ValueCountFrequency (%)
해물밭에 1
 
1.5%
태양정 1
 
1.5%
논두렁쌈밥집 1
 
1.5%
새오복식당 1
 
1.5%
물레방아 1
 
1.5%
별미쌈밥 1
 
1.5%
한오백년 1
 
1.5%
보리향기 1
 
1.5%
달동네보리밥 1
 
1.5%
전라도한정식 1
 
1.5%
Other values (55) 55
84.6%
2023-12-12T23:30:04.345550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 15
 
5.6%
당 14
 
5.2%
정 10
 
3.7%
한 10
 
3.7%
든 9
 
3.4%
가 9
 
3.4%
집 8
 
3.0%
우 7
 
2.6%
수 5
 
1.9%
미 5
 
1.9%
Other values (103) 176
65.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 266
99.3%
Space Separator 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 15
 
5.6%
당 14
 
5.3%
정 10
 
3.8%
한 10
 
3.8%
든 9
 
3.4%
가 9
 
3.4%
집 8
 
3.0%
우 7
 
2.6%
수 5
 
1.9%
미 5
 
1.9%
Other values (102) 174
65.4%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 266
99.3%
Common 2
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 15
 
5.6%
당 14
 
5.3%
정 10
 
3.8%
한 10
 
3.8%
든 9
 
3.4%
가 9
 
3.4%
집 8
 
3.0%
우 7
 
2.6%
수 5
 
1.9%
미 5
 
1.9%
Other values (102) 174
65.4%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 266
99.3%
ASCII 2
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 15
 
5.6%
당 14
 
5.3%
정 10
 
3.8%
한 10
 
3.8%
든 9
 
3.4%
가 9
 
3.4%
집 8
 
3.0%
우 7
 
2.6%
수 5
 
1.9%
미 5
 
1.9%
Other values (102) 174
65.4%
ASCII
ValueCountFrequency (%)
2
100.0%

메뉴
Text

MISSING 

Distinct57
Distinct (%)93.4%
Missing3
Missing (%)4.7%
Memory size644.0 B
2023-12-12T23:30:04.738404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length17
Mean length13.622951
Min length3

Characters and Unicode

Total characters831
Distinct characters134
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

Unique55 ?
Unique (%)90.2%

Sample

1st row황칠닭코스 A,B, 황칠약오리, 해신탕
2nd row닭, 오리백숙
3rd row닭코스요리, 요리코스요리
4th row닭코스요리, 오리코스요리
5th row토종닭코스, 오리로스, 백숙
ValueCountFrequency (%)
삼겹살 10
 
6.0%
닭 5
 
3.0%
주물럭 5
 
3.0%
오리코스 4
 
2.4%
비빔밥 4
 
2.4%
산채비빔밥 4
 
2.4%
생고기 4
 
2.4%
한정식 3
 
1.8%
갈비탕 3
 
1.8%
매운탕 3
 
1.8%
Other values (105) 121
72.9%
2023-12-12T23:30:05.233325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
105
 
12.6%
, 105
 
12.6%
리 31
 
3.7%
밥 23
 
2.8%
비 22
 
2.6%
스 20
 
2.4%
탕 18
 
2.2%
식 18
 
2.2%
닭 17
 
2.0%
삼 15
 
1.8%
Other values (124) 457
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 617
74.2%
Space Separator 105
 
12.6%
Other Punctuation 105
 
12.6%
Uppercase Letter 2
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 31
 
5.0%
밥 23
 
3.7%
비 22
 
3.6%
스 20
 
3.2%
탕 18
 
2.9%
식 18
 
2.9%
닭 17
 
2.8%
삼 15
 
2.4%
오 15
 
2.4%
고 14
 
2.3%
Other values (118) 424
68.7%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
105
100.0%
Other Punctuation
ValueCountFrequency (%)
, 105
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 617
74.2%
Common 212
 
25.5%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 31
 
5.0%
밥 23
 
3.7%
비 22
 
3.6%
스 20
 
3.2%
탕 18
 
2.9%
식 18
 
2.9%
닭 17
 
2.8%
삼 15
 
2.4%
오 15
 
2.4%
고 14
 
2.3%
Other values (118) 424
68.7%
Common
ValueCountFrequency (%)
105
49.5%
, 105
49.5%
( 1
 
0.5%
) 1
 
0.5%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 617
74.2%
ASCII 214
 
25.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
105
49.1%
, 105
49.1%
A 1
 
0.5%
B 1
 
0.5%
( 1
 
0.5%
) 1
 
0.5%
Hangul
ValueCountFrequency (%)
리 31
 
5.0%
밥 23
 
3.7%
비 22
 
3.6%
스 20
 
3.2%
탕 18
 
2.9%
식 18
 
2.9%
닭 17
 
2.8%
삼 15
 
2.4%
오 15
 
2.4%
고 14
 
2.3%
Other values (118) 424
68.7%

영업시작시각
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Memory size644.0 B
11:00
15 
10:00
12 
<NA>
12 
09:00
10 
08:00
6 
Other values (8)
9 

Length

Max length5
Median length5
Mean length4.78125
Min length4

Unique

Unique7 ?
Unique (%)10.9%

Sample

1st row11:00
2nd row11:00
3rd row09:00
4th row10:00
5th row11:00

Common Values

ValueCountFrequency (%)
11:00 15
23.4%
10:00 12
18.8%
<NA> 12
18.8%
09:00 10
15.6%
08:00 6
 
9.4%
12:00 2
 
3.1%
05:00 1
 
1.6%
02:00 1
 
1.6%
15:00 1
 
1.6%
7:00 1
 
1.6%
Other values (3) 3
 
4.7%

Length

2023-12-12T23:30:05.407368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
11:00 15
23.4%
10:00 12
18.8%
na 12
18.8%
09:00 10
15.6%
08:00 6
 
9.4%
12:00 2
 
3.1%
05:00 1
 
1.6%
02:00 1
 
1.6%
15:00 1
 
1.6%
7:00 1
 
1.6%
Other values (3) 3
 
4.7%

영업종료시각
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size644.0 B
21:00
18 
20:00
14 
22:00
13 
<NA>
12 
23:00
3 
Other values (3)
4 

Length

Max length8
Median length5
Mean length4.90625
Min length4

Unique

Unique2 ?
Unique (%)3.1%

Sample

1st row20:00
2nd row18:00
3rd row21:00
4th row21:00
5th row22:00

Common Values

ValueCountFrequency (%)
21:00 18
28.1%
20:00 14
21.9%
22:00 13
20.3%
<NA> 12
18.8%
23:00 3
 
4.7%
24:00:00 2
 
3.1%
18:00 1
 
1.6%
14:00 1
 
1.6%

Length

2023-12-12T23:30:05.553517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:30:05.717279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
21:00 18
28.1%
20:00 14
21.9%
22:00 13
20.3%
na 12
18.8%
23:00 3
 
4.7%
24:00:00 2
 
3.1%
18:00 1
 
1.6%
14:00 1
 
1.6%

도로명주소
Text

MISSING 

Distinct62
Distinct (%)98.4%
Missing1
Missing (%)1.6%
Memory size644.0 B
2023-12-12T23:30:06.034637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length20.904762
Min length18

Characters and Unicode

Total characters1317
Distinct characters84
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

Unique61 ?
Unique (%)96.8%

Sample

1st row전라남도 해남군 해남읍 고산로 291
2nd row전라남도 해남군 문내면 관광레저로 85-41
3rd row전라남도 해남군 삼산면 고산로 549-5
4th row전라남도 해남군 삼산면 고산로 546-7
5th row전라남도 해남군 삼산면 구림큰길 32-5
ValueCountFrequency (%)
전라남도 63
20.0%
해남군 63
20.0%
해남읍 34
 
10.8%
삼산면 13
 
4.1%
고산로 11
 
3.5%
대흥사길 8
 
2.5%
송지면 6
 
1.9%
땅끝마을길 4
 
1.3%
남부순환로 4
 
1.3%
북부순환로 4
 
1.3%
Other values (89) 105
33.3%
2023-12-12T23:30:06.531425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
252
19.1%
남 165
 
12.5%
해 98
 
7.4%
군 64
 
4.9%
전 63
 
4.8%
라 63
 
4.8%
도 63
 
4.8%
읍 37
 
2.8%
길 35
 
2.7%
1 34
 
2.6%
Other values (74) 443
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 868
65.9%
Space Separator 252
 
19.1%
Decimal Number 176
 
13.4%
Dash Punctuation 21
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 165
19.0%
해 98
11.3%
군 64
 
7.4%
전 63
 
7.3%
라 63
 
7.3%
도 63
 
7.3%
읍 37
 
4.3%
길 35
 
4.0%
산 30
 
3.5%
면 29
 
3.3%
Other values (62) 221
25.5%
Decimal Number
ValueCountFrequency (%)
1 34
19.3%
2 27
15.3%
5 24
13.6%
8 22
12.5%
4 14
8.0%
9 14
8.0%
3 12
 
6.8%
7 12
 
6.8%
6 10
 
5.7%
0 7
 
4.0%
Space Separator
ValueCountFrequency (%)
252
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 868
65.9%
Common 449
34.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 165
19.0%
해 98
11.3%
군 64
 
7.4%
전 63
 
7.3%
라 63
 
7.3%
도 63
 
7.3%
읍 37
 
4.3%
길 35
 
4.0%
산 30
 
3.5%
면 29
 
3.3%
Other values (62) 221
25.5%
Common
ValueCountFrequency (%)
252
56.1%
1 34
 
7.6%
2 27
 
6.0%
5 24
 
5.3%
8 22
 
4.9%
- 21
 
4.7%
4 14
 
3.1%
9 14
 
3.1%
3 12
 
2.7%
7 12
 
2.7%
Other values (2) 17
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 868
65.9%
ASCII 449
34.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
252
56.1%
1 34
 
7.6%
2 27
 
6.0%
5 24
 
5.3%
8 22
 
4.9%
- 21
 
4.7%
4 14
 
3.1%
9 14
 
3.1%
3 12
 
2.7%
7 12
 
2.7%
Other values (2) 17
 
3.8%
Hangul
ValueCountFrequency (%)
남 165
19.0%
해 98
11.3%
군 64
 
7.4%
전 63
 
7.3%
라 63
 
7.3%
도 63
 
7.3%
읍 37
 
4.3%
길 35
 
4.0%
산 30
 
3.5%
면 29
 
3.3%
Other values (62) 221
25.5%

지번주소
Text

MISSING 

Distinct58
Distinct (%)92.1%
Missing1
Missing (%)1.6%
Memory size644.0 B
2023-12-12T23:30:06.841128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length21.603175
Min length18

Characters and Unicode

Total characters1361
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

Unique55 ?
Unique (%)87.3%

Sample

1st row전라남도 해남군 해남읍 연동리 432
2nd row전라남도 해남군 문내면 학동리 1432-5
3rd row전라남도 해남군 삼산면 평활리 954-9
4th row전라남도 해남군 삼산면 평활리 954-9
5th row전라남도 해남군 삼산면 구림리 193-2
ValueCountFrequency (%)
전라남도 63
20.1%
해남군 63
20.1%
해남읍 34
 
10.8%
삼산면 13
 
4.1%
구림리 11
 
3.5%
해리 10
 
3.2%
연동리 8
 
2.5%
송지면 6
 
1.9%
수성리 4
 
1.3%
송호리 4
 
1.3%
Other values (77) 98
31.2%
2023-12-12T23:30:07.312212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
251
18.4%
남 163
 
12.0%
해 107
 
7.9%
도 65
 
4.8%
전 63
 
4.6%
군 63
 
4.6%
라 63
 
4.6%
리 61
 
4.5%
- 55
 
4.0%
1 46
 
3.4%
Other values (49) 424
31.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 808
59.4%
Space Separator 251
 
18.4%
Decimal Number 247
 
18.1%
Dash Punctuation 55
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 163
20.2%
해 107
13.2%
도 65
 
8.0%
전 63
 
7.8%
군 63
 
7.8%
라 63
 
7.8%
리 61
 
7.5%
읍 38
 
4.7%
면 29
 
3.6%
산 17
 
2.1%
Other values (37) 139
17.2%
Decimal Number
ValueCountFrequency (%)
1 46
18.6%
4 36
14.6%
3 32
13.0%
2 26
10.5%
6 24
9.7%
5 23
9.3%
8 19
7.7%
0 15
 
6.1%
7 14
 
5.7%
9 12
 
4.9%
Space Separator
ValueCountFrequency (%)
251
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 808
59.4%
Common 553
40.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 163
20.2%
해 107
13.2%
도 65
 
8.0%
전 63
 
7.8%
군 63
 
7.8%
라 63
 
7.8%
리 61
 
7.5%
읍 38
 
4.7%
면 29
 
3.6%
산 17
 
2.1%
Other values (37) 139
17.2%
Common
ValueCountFrequency (%)
251
45.4%
- 55
 
9.9%
1 46
 
8.3%
4 36
 
6.5%
3 32
 
5.8%
2 26
 
4.7%
6 24
 
4.3%
5 23
 
4.2%
8 19
 
3.4%
0 15
 
2.7%
Other values (2) 26
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 808
59.4%
ASCII 553
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
251
45.4%
- 55
 
9.9%
1 46
 
8.3%
4 36
 
6.5%
3 32
 
5.8%
2 26
 
4.7%
6 24
 
4.3%
5 23
 
4.2%
8 19
 
3.4%
0 15
 
2.7%
Other values (2) 26
 
4.7%
Hangul
ValueCountFrequency (%)
남 163
20.2%
해 107
13.2%
도 65
 
8.0%
전 63
 
7.8%
군 63
 
7.8%
라 63
 
7.8%
리 61
 
7.5%
읍 38
 
4.7%
면 29
 
3.6%
산 17
 
2.1%
Other values (37) 139
17.2%

위도
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)98.4%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean34.52139
Minimum34.297508
Maximum34.667196
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T23:30:07.473556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.297508
5-th percentile34.306421
Q134.496851
median34.552544
Q334.571626
95-th percentile34.577699
Maximum34.667196
Range0.36968827
Interquartile range (IQR)0.07477524

Descriptive statistics

Standard deviation0.082123138
Coefficient of variation (CV)0.0023789059
Kurtosis1.7029337
Mean34.52139
Median Absolute Deviation (MAD)0.02272766
Skewness-1.392391
Sum2174.8476
Variance0.0067442097
MonotonicityNot monotonic
2023-12-12T23:30:07.649180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.57769936 2
 
3.1%
34.49523371 1
 
1.6%
34.49562941 1
 
1.6%
34.49676305 1
 
1.6%
34.49647464 1
 
1.6%
34.49699776 1
 
1.6%
34.49692553 1
 
1.6%
34.50927197 1
 
1.6%
34.29864522 1
 
1.6%
34.57403697 1
 
1.6%
Other values (52) 52
81.2%
ValueCountFrequency (%)
34.29750816 1
1.6%
34.29833249 1
1.6%
34.29864522 1
1.6%
34.29932484 1
1.6%
34.37028914 1
1.6%
34.38467815 1
1.6%
34.40553316 1
1.6%
34.40920771 1
1.6%
34.41261847 1
1.6%
34.41641893 1
1.6%
ValueCountFrequency (%)
34.66719643 1
1.6%
34.66379475 1
1.6%
34.57886265 1
1.6%
34.57769936 2
3.1%
34.57570608 1
1.6%
34.5753994 1
1.6%
34.57527137 1
1.6%
34.57468288 1
1.6%
34.57403697 1
1.6%
34.57401123 1
1.6%

경도
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)98.4%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean126.58026
Minimum126.308
Maximum126.64939
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T23:30:07.806514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.308
5-th percentile126.34741
Q1126.59247
median126.60269
Q3126.61173
95-th percentile126.61985
Maximum126.64939
Range0.341395
Interquartile range (IQR)0.0192563

Descriptive statistics

Standard deviation0.073398288
Coefficient of variation (CV)0.0005798557
Kurtosis8.6510072
Mean126.58026
Median Absolute Deviation (MAD)0.0093427
Skewness-3.0322365
Sum7974.5567
Variance0.0053873087
MonotonicityNot monotonic
2023-12-12T23:30:07.973208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.3079978 2
 
3.1%
126.6172905 1
 
1.6%
126.6172078 1
 
1.6%
126.6170149 1
 
1.6%
126.6170196 1
 
1.6%
126.6170437 1
 
1.6%
126.617034 1
 
1.6%
126.6103727 1
 
1.6%
126.5276772 1
 
1.6%
126.5935167 1
 
1.6%
Other values (52) 52
81.2%
ValueCountFrequency (%)
126.3079978 2
3.1%
126.3265965 1
1.6%
126.3281646 1
1.6%
126.5206098 1
1.6%
126.52722 1
1.6%
126.5276772 1
1.6%
126.528327 1
1.6%
126.5286603 1
1.6%
126.5540028 1
1.6%
126.5685584 1
1.6%
ValueCountFrequency (%)
126.6493928 1
1.6%
126.6280004 1
1.6%
126.6244817 1
1.6%
126.6200299 1
1.6%
126.6182232 1
1.6%
126.6173521 1
1.6%
126.6172905 1
1.6%
126.6172078 1
1.6%
126.6170437 1
1.6%
126.617034 1
1.6%

연락처
Text

MISSING 

Distinct61
Distinct (%)100.0%
Missing3
Missing (%)4.7%
Memory size644.0 B
2023-12-12T23:30:08.248098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters732
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

Unique61 ?
Unique (%)100.0%

Sample

1st row061-533-5311
2nd row061-532-0540
3rd row061-530-1199
4th row061-532-3856
5th row061-533-7330
ValueCountFrequency (%)
061-535-4779 1
 
1.6%
061-535-3024 1
 
1.6%
061-533-0346 1
 
1.6%
061-536-3708 1
 
1.6%
061-535-2688 1
 
1.6%
061-534-5633 1
 
1.6%
061-534-3376 1
 
1.6%
061-532-3667 1
 
1.6%
061-535-3814 1
 
1.6%
061-533-1060 1
 
1.6%
Other values (51) 51
83.6%
2023-12-12T23:30:08.693177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 122
16.7%
3 103
14.1%
6 99
13.5%
5 97
13.3%
0 91
12.4%
1 89
12.2%
4 40
 
5.5%
2 32
 
4.4%
7 25
 
3.4%
8 20
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 610
83.3%
Dash Punctuation 122
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 103
16.9%
6 99
16.2%
5 97
15.9%
0 91
14.9%
1 89
14.6%
4 40
 
6.6%
2 32
 
5.2%
7 25
 
4.1%
8 20
 
3.3%
9 14
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 122
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 732
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 122
16.7%
3 103
14.1%
6 99
13.5%
5 97
13.3%
0 91
12.4%
1 89
12.2%
4 40
 
5.5%
2 32
 
4.4%
7 25
 
3.4%
8 20
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 732
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 122
16.7%
3 103
14.1%
6 99
13.5%
5 97
13.3%
0 91
12.4%
1 89
12.2%
4 40
 
5.5%
2 32
 
4.4%
7 25
 
3.4%
8 20
 
2.7%

주차장
Boolean

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)3.2%
Missing1
Missing (%)1.6%
Memory size260.0 B
True
46 
False
17 
(Missing)
 
1
ValueCountFrequency (%)
True 46
71.9%
False 17
 
26.6%
(Missing) 1
 
1.6%
2023-12-12T23:30:08.814684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

조식
Boolean

MISSING 

Distinct2
Distinct (%)3.2%
Missing1
Missing (%)1.6%
Memory size260.0 B
False
41 
True
22 
(Missing)
 
1
ValueCountFrequency (%)
False 41
64.1%
True 22
34.4%
(Missing) 1
 
1.6%
2023-12-12T23:30:08.907627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

애완동물
Boolean

MISSING 

Distinct2
Distinct (%)3.2%
Missing1
Missing (%)1.6%
Memory size260.0 B
False
56 
True
7 
(Missing)
 
1
ValueCountFrequency (%)
False 56
87.5%
True 7
 
10.9%
(Missing) 1
 
1.6%
2023-12-12T23:30:08.993286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

놀이방
Boolean

HIGH CORRELATION  IMBALANCE  MISSING 

Distinct2
Distinct (%)3.2%
Missing1
Missing (%)1.6%
Memory size260.0 B
False
60 
True
 
3
(Missing)
 
1
ValueCountFrequency (%)
False 60
93.8%
True 3
 
4.7%
(Missing) 1
 
1.6%
2023-12-12T23:30:09.090788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

포장판매
Boolean

MISSING 

Distinct2
Distinct (%)3.2%
Missing1
Missing (%)1.6%
Memory size260.0 B
True
42 
False
21 
(Missing)
 
1
ValueCountFrequency (%)
True 42
65.6%
False 21
32.8%
(Missing) 1
 
1.6%
2023-12-12T23:30:09.190664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

모범음식점
Boolean

MISSING 

Distinct2
Distinct (%)3.2%
Missing1
Missing (%)1.6%
Memory size260.0 B
False
46 
True
17 
(Missing)
 
1
ValueCountFrequency (%)
False 46
71.9%
True 17
 
26.6%
(Missing) 1
 
1.6%
2023-12-12T23:30:09.294777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

화장실 분리
Boolean

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)3.2%
Missing1
Missing (%)1.6%
Memory size260.0 B
True
44 
False
19 
(Missing)
 
1
ValueCountFrequency (%)
True 44
68.8%
False 19
29.7%
(Missing) 1
 
1.6%
2023-12-12T23:30:09.400414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2023-12-12T23:30:01.500985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:30:00.793303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:30:01.136540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:30:01.629069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:30:00.910027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:30:01.237867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:30:01.750862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:30:01.019211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:30:01.399574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:30:09.508270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번해남 8미음식점명메뉴영업시작시각영업종료시각도로명주소지번주소위도경도연락처주차장조식애완동물놀이방포장판매모범음식점화장실 분리
순번1.0000.8801.0001.0000.4640.4270.9390.9910.7090.6551.0000.2210.0000.0000.0000.2900.5170.166
해남 8미0.8801.0001.0001.0000.3500.5140.9760.9950.6970.5041.0000.2540.4500.4740.7060.4210.3130.243
음식점명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
메뉴1.0001.0001.0001.0000.9960.6470.9910.9831.0001.0001.0000.5691.0001.0001.0000.6720.6030.630
영업시작시각0.4640.3501.0000.9961.0000.8021.0000.7110.0000.0001.0000.4920.5550.3030.0000.0000.1660.417
영업종료시각0.4270.5141.0000.6470.8021.0001.0000.9890.0000.3811.0000.3080.0000.2910.0000.2910.0000.416
도로명주소0.9390.9761.0000.9911.0001.0001.0001.0001.0001.0001.0001.0001.0000.0001.0001.0001.0000.000
지번주소0.9910.9951.0000.9830.7110.9891.0001.0000.9941.0001.0000.7380.8070.4941.0001.0000.7380.131
위도0.7090.6971.0001.0000.0000.0001.0000.9941.0000.8821.0000.1430.4630.0000.0000.3550.0000.060
경도0.6550.5041.0001.0000.0000.3811.0001.0000.8821.0001.0000.2570.3690.0770.0000.3330.1030.185
연락처1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
주차장0.2210.2541.0000.5690.4920.3081.0000.7380.1430.2571.0001.0000.0000.0000.0000.5190.0000.984
조식0.0000.4501.0001.0000.5550.0001.0000.8070.4630.3691.0000.0001.0000.0000.0000.0000.0000.000
애완동물0.0000.4741.0001.0000.3030.2910.0000.4940.0000.0771.0000.0000.0001.0000.3800.2360.0000.000
놀이방0.0000.7061.0001.0000.0000.0001.0001.0000.0000.0001.0000.0000.0000.3801.0000.0000.3920.000
포장판매0.2900.4211.0000.6720.0000.2911.0001.0000.3550.3331.0000.5190.0000.2360.0001.0000.0000.427
모범음식점0.5170.3131.0000.6030.1660.0001.0000.7380.0000.1031.0000.0000.0000.0000.3920.0001.0000.022
화장실 분리0.1660.2431.0000.6300.4170.4160.0000.1310.0600.1851.0000.9840.0000.0000.0000.4270.0221.000
2023-12-12T23:30:09.724642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주차장해남 8미조식영업종료시각애완동물화장실 분리영업시작시각모범음식점놀이방포장판매
주차장1.0000.1760.0000.3100.0000.8840.3370.0000.0000.347
해남 8미0.1761.0000.3190.1940.3360.1680.1540.2190.5110.298
조식0.0000.3191.0000.0000.0000.0000.3840.0000.0000.000
영업종료시각0.3100.1940.0001.0000.2910.4210.5260.0000.0000.292
애완동물0.0000.3360.0000.2911.0000.0000.2000.0000.2480.151
화장실 분리0.8840.1680.0000.4210.0001.0000.2830.0000.0000.280
영업시작시각0.3370.1540.3840.5260.2000.2831.0000.0950.0000.000
모범음식점0.0000.2190.0000.0000.0000.0000.0951.0000.2560.000
놀이방0.0000.5110.0000.0000.2480.0000.0000.2561.0000.000
포장판매0.3470.2980.0000.2920.1510.2800.0000.0000.0001.000
2023-12-12T23:30:09.889122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번위도경도해남 8미영업시작시각영업종료시각주차장조식애완동물놀이방포장판매모범음식점화장실 분리
순번1.0000.1110.0210.6950.2210.2130.2320.0000.0000.0000.2900.4090.202
위도0.1111.000-0.2380.4290.0000.0000.1260.4340.0000.0000.3310.0000.033
경도0.021-0.2381.0000.3280.0000.2450.3050.4380.0860.0000.3950.1180.219
해남 8미0.6950.4290.3281.0000.1540.1940.1760.3190.3360.5110.2980.2190.168
영업시작시각0.2210.0000.0000.1541.0000.5260.3370.3840.2000.0000.0000.0950.283
영업종료시각0.2130.0000.2450.1940.5261.0000.3100.0000.2910.0000.2920.0000.421
주차장0.2320.1260.3050.1760.3370.3101.0000.0000.0000.0000.3470.0000.884
조식0.0000.4340.4380.3190.3840.0000.0001.0000.0000.0000.0000.0000.000
애완동물0.0000.0000.0860.3360.2000.2910.0000.0001.0000.2480.1510.0000.000
놀이방0.0000.0000.0000.5110.0000.0000.0000.0000.2481.0000.0000.2560.000
포장판매0.2900.3310.3950.2980.0000.2920.3470.0000.1510.0001.0000.0000.280
모범음식점0.4090.0000.1180.2190.0950.0000.0000.0000.0000.2560.0001.0000.000
화장실 분리0.2020.0330.2190.1680.2830.4210.8840.0000.0000.0000.2800.0001.000

Missing values

2023-12-12T23:30:01.938133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:30:02.218644image/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.
2023-12-12T23:30:02.765239image/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

순번해남 8미음식점명메뉴영업시작시각영업종료시각도로명주소지번주소위도경도연락처주차장조식애완동물놀이방포장판매모범음식점화장실 분리
01닭요리촌해물밭에 노는 닭황칠닭코스 A,B, 황칠약오리, 해신탕11:0020:00전라남도 해남군 해남읍 고산로 291전라남도 해남군 해남읍 연동리 43234.54096126.6122061-533-5311YYNNYNN
12닭요리촌수정가든닭, 오리백숙11:0018:00전라남도 해남군 문내면 관광레저로 85-41전라남도 해남군 문내면 학동리 1432-534.577699126.307998061-532-0540YNNNYNN
23닭요리촌정든집닭코스요리, 요리코스요리09:0021:00전라남도 해남군 삼산면 고산로 549-5전라남도 해남군 삼산면 평활리 954-934.518175126.609321061-530-1199YNNNNNY
34닭요리촌명성가든닭코스요리, 오리코스요리10:0021:00전라남도 해남군 삼산면 고산로 546-7전라남도 해남군 삼산면 평활리 954-934.523878126.594817061-532-3856YNNNNNY
45닭요리촌송림가든토종닭코스, 오리로스, 백숙11:0022:00전라남도 해남군 삼산면 구림큰길 32-5전라남도 해남군 삼산면 구림리 193-234.5014126.617352061-533-7330NNNNNNN
56닭요리촌달마가든닭코스,옻닭, 산채비빔밥08:0021:00전라남도 해남군 송지면 미황사길 88전라남도 해남군 송지면 서정리 9-334.384678126.568558061-536-4961YYYNYNY
67닭요리촌고수골가든토종닭코스, 오리주물럳10:0021:00전라남도 해남군 해남읍 고산로 159-41전라남도 해남군 해남읍 연동리 578-134.551358126.609358061-536-3525YNNNYNY
78닭요리촌고향가든닭요리, 옻닭11:0021:00전라남도 해남군 해남읍 고산로 150전라남도 해남군 해남읍 연동리 627-634.552023126.604422061-536-5030NNNNYNN
89닭요리촌돌고개가든닭, 오리코스10:0020:00전라남도 해남군 해남읍 고산로 287전라남도 해남군 해남읍 연동리 430-534.541373126.61203061-537-7100NNNNNYN
910닭요리촌일미정닭, 오리코스11:0024:00:00전라남도 해남군 해남읍 고산로 289전라남도 해남군 해남읍 연동리 430-334.541221126.612119061-536-2727YNNNYYY
순번해남 8미음식점명메뉴영업시작시각영업종료시각도로명주소지번주소위도경도연락처주차장조식애완동물놀이방포장판매모범음식점화장실 분리
5455생고기한우일번지한우로스구이, 생고기비빔밥, 사골곰탕10:0021:00전라남도 해남군 해남읍 해남로 2전라남도 해남군 해남읍 해리 405-1034.570627126.607425061-536-4481YNNNNNY
5556생고기산화삼겹살, 생고기, 비빔밥08:0021:00전라남도 해남군 해남읍 중앙2로 135-1전라남도 해남군 해남읍 고도리 401-1934.566574126.59519061-536-4561NNNNNNN
5657생고기수미정육식당삼겹살, 육회비빔밥, 주물럭<NA><NA>전라남도 해남군 해남읍 행운길 2전라남도 해남군 해남읍 해리 622-1334.568597126.601018061-536-4382NNNNNNN
5758생고기오대감한우직판장식육식당<NA><NA><NA>전라남도 해남군 해남읍 영빈로 49전라남도 해남군 해남읍 해리 296-834.565757126.605697061-536-2700YNNNYNY
5859생고기해초한우정소고기구이<NA><NA>전라남도 해남군 해남읍 납부순환로 42전라남도 해남군 해남읍 해리 34334.561182126.579404061-536-3554YNNNYNY
5960생고기한우마당한우갈비, 삼겹살, 비빔밥11:0020:00전라남도 해남군 해남읍 천변2길 35전라남도 해남군 해남읍 읍내리 6-1534.571317126.600777061-533-7667YNNNYNY
6061생고기고기나라소고기로스구이, 삼겹살, 돼지갈비10:0022:00전라남도 해남군 해남읍 남부순환로 59전라남도 해남군 해남읍 해리 298-334.56605126.605256061-536-2223YYNNYNY
6162산채정식호남식당자연산버섯탕, 산채비빔밥, 별미산채정식08:0022:00전라남도 해남군 삼산면 대흥사길 143전라남도 해남군 삼산면 구림리 146-534.496777126.618223061-534-5500YYNNYYY
6263산채정식해남식당백반정식, 산채비빔밥, 산채정식08:0020:00전라남도 해남군 삼산면 대흥사길 98-2전라남도 해남군 삼산면 구림리 146-1734.497482126.62003061-534-5584NYNNNNN
63<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>