Overview

Dataset statistics

Number of variables8
Number of observations187
Missing cells39
Missing cells (%)2.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.4 KiB
Average record size in memory67.7 B

Variable types

Numeric3
Text4
DateTime1

Dataset

Description강원도 원주시에서 지정한 모범음식점의 ( 업소명, 수용인원, 업소주소(도로명주소), 업소전화번호 등 ) 다양한 정보들을 제공
Author강원특별자치도 원주시
URLhttps://www.data.go.kr/data/3068996/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
주차대수 is highly overall correlated with 수용인원High correlation
수용인원 is highly overall correlated with 주차대수High correlation
주차대수 has 20 (10.7%) missing valuesMissing
수용인원 has 18 (9.6%) missing valuesMissing
연번 has unique valuesUnique
업소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:45:10.983330
Analysis finished2023-12-12 23:45:12.518373
Duration1.54 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct187
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94
Minimum1
Maximum187
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T08:45:12.584826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.3
Q147.5
median94
Q3140.5
95-th percentile177.7
Maximum187
Range186
Interquartile range (IQR)93

Descriptive statistics

Standard deviation54.126395
Coefficient of variation (CV)0.57581272
Kurtosis-1.2
Mean94
Median Absolute Deviation (MAD)47
Skewness0
Sum17578
Variance2929.6667
MonotonicityStrictly increasing
2023-12-13T08:45:12.711087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
130 1
 
0.5%
121 1
 
0.5%
122 1
 
0.5%
123 1
 
0.5%
124 1
 
0.5%
125 1
 
0.5%
126 1
 
0.5%
127 1
 
0.5%
128 1
 
0.5%
Other values (177) 177
94.7%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
187 1
0.5%
186 1
0.5%
185 1
0.5%
184 1
0.5%
183 1
0.5%
182 1
0.5%
181 1
0.5%
180 1
0.5%
179 1
0.5%
178 1
0.5%

업소명
Text

UNIQUE 

Distinct187
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-13T08:45:12.959143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length14
Mean length6.513369
Min length2

Characters and Unicode

Total characters1218
Distinct characters295
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique187 ?
Unique (%)100.0%

Sample

1st row(유)아웃백스테이크하우스코리아(원주점)
2nd row(주)위더스파크밸리레스토랑
3rd row(주)항아리보쌈돌돌이김치본점
4th row가람숯불장어
5th row간현막국수
ValueCountFrequency (%)
유)아웃백스테이크하우스코리아(원주점 1
 
0.5%
일미풍천장어 1
 
0.5%
월송정 1
 
0.5%
중화문 1
 
0.5%
육즙가득한고깃집원주직영점 1
 
0.5%
윤가냉면 1
 
0.5%
윤가네숯불구이 1
 
0.5%
이레버섯샤브칼국수 1
 
0.5%
이씨손만두전골 1
 
0.5%
일미리금계찜닭 1
 
0.5%
Other values (181) 181
94.8%
2023-12-13T08:45:13.328969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 38
 
3.1%
원 24
 
2.0%
( 23
 
1.9%
) 23
 
1.9%
주 21
 
1.7%
국 20
 
1.6%
리 19
 
1.6%
가 19
 
1.6%
탕 19
 
1.6%
소 18
 
1.5%
Other values (285) 994
81.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1156
94.9%
Open Punctuation 23
 
1.9%
Close Punctuation 23
 
1.9%
Decimal Number 9
 
0.7%
Space Separator 4
 
0.3%
Other Punctuation 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 38
 
3.3%
원 24
 
2.1%
주 21
 
1.8%
국 20
 
1.7%
리 19
 
1.6%
가 19
 
1.6%
탕 19
 
1.6%
소 18
 
1.6%
비 17
 
1.5%
수 16
 
1.4%
Other values (275) 945
81.7%
Decimal Number
ValueCountFrequency (%)
3 3
33.3%
1 2
22.2%
5 2
22.2%
2 1
 
11.1%
4 1
 
11.1%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1155
94.8%
Common 62
 
5.1%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 38
 
3.3%
원 24
 
2.1%
주 21
 
1.8%
국 20
 
1.7%
리 19
 
1.6%
가 19
 
1.6%
탕 19
 
1.6%
소 18
 
1.6%
비 17
 
1.5%
수 16
 
1.4%
Other values (274) 944
81.7%
Common
ValueCountFrequency (%)
( 23
37.1%
) 23
37.1%
4
 
6.5%
3 3
 
4.8%
1 2
 
3.2%
5 2
 
3.2%
, 2
 
3.2%
- 1
 
1.6%
2 1
 
1.6%
4 1
 
1.6%
Han
ValueCountFrequency (%)
山 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1155
94.8%
ASCII 62
 
5.1%
CJK 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 38
 
3.3%
원 24
 
2.1%
주 21
 
1.8%
국 20
 
1.7%
리 19
 
1.6%
가 19
 
1.6%
탕 19
 
1.6%
소 18
 
1.6%
비 17
 
1.5%
수 16
 
1.4%
Other values (274) 944
81.7%
ASCII
ValueCountFrequency (%)
( 23
37.1%
) 23
37.1%
4
 
6.5%
3 3
 
4.8%
1 2
 
3.2%
5 2
 
3.2%
, 2
 
3.2%
- 1
 
1.6%
2 1
 
1.6%
4 1
 
1.6%
CJK
ValueCountFrequency (%)
山 1
100.0%

소재지(도로명)
Text

UNIQUE 

Distinct187
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-13T08:45:13.688156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length33
Mean length27.593583
Min length22

Characters and Unicode

Total characters5160
Distinct characters161
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

Unique187 ?
Unique (%)100.0%

Sample

1st row강원특별자치도 원주시 시청로 27, 지상2층 (무실동)
2nd row강원특별자치도 원주시 소초면 바우실길 281, 2층
3rd row강원특별자치도 원주시 서원대로 121-7, 1층 (단계동)
4th row강원특별자치도 원주시 판부면 서곡널다리길 20
5th row강원특별자치도 원주시 지정면 간현로 174, 1, 2층
ValueCountFrequency (%)
강원특별자치도 187
18.1%
원주시 187
18.1%
1층 71
 
6.9%
단계동 34
 
3.3%
무실동 20
 
1.9%
단구동 19
 
1.8%
반곡동 15
 
1.5%
행구동 11
 
1.1%
지정면 11
 
1.1%
문막읍 11
 
1.1%
Other values (280) 466
45.2%
2023-12-13T08:45:14.174297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
846
 
16.4%
원 419
 
8.1%
1 204
 
4.0%
치 197
 
3.8%
강 188
 
3.6%
자 188
 
3.6%
도 188
 
3.6%
시 188
 
3.6%
특 187
 
3.6%
별 187
 
3.6%
Other values (151) 2368
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3235
62.7%
Space Separator 846
 
16.4%
Decimal Number 647
 
12.5%
Open Punctuation 141
 
2.7%
Close Punctuation 141
 
2.7%
Other Punctuation 95
 
1.8%
Dash Punctuation 55
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 419
 
13.0%
치 197
 
6.1%
강 188
 
5.8%
자 188
 
5.8%
도 188
 
5.8%
시 188
 
5.8%
특 187
 
5.8%
별 187
 
5.8%
주 187
 
5.8%
동 148
 
4.6%
Other values (136) 1158
35.8%
Decimal Number
ValueCountFrequency (%)
1 204
31.5%
2 100
15.5%
3 55
 
8.5%
6 53
 
8.2%
4 50
 
7.7%
5 50
 
7.7%
7 44
 
6.8%
0 37
 
5.7%
9 27
 
4.2%
8 27
 
4.2%
Space Separator
ValueCountFrequency (%)
846
100.0%
Open Punctuation
ValueCountFrequency (%)
( 141
100.0%
Close Punctuation
ValueCountFrequency (%)
) 141
100.0%
Other Punctuation
ValueCountFrequency (%)
, 95
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3235
62.7%
Common 1925
37.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 419
 
13.0%
치 197
 
6.1%
강 188
 
5.8%
자 188
 
5.8%
도 188
 
5.8%
시 188
 
5.8%
특 187
 
5.8%
별 187
 
5.8%
주 187
 
5.8%
동 148
 
4.6%
Other values (136) 1158
35.8%
Common
ValueCountFrequency (%)
846
43.9%
1 204
 
10.6%
( 141
 
7.3%
) 141
 
7.3%
2 100
 
5.2%
, 95
 
4.9%
- 55
 
2.9%
3 55
 
2.9%
6 53
 
2.8%
4 50
 
2.6%
Other values (5) 185
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3235
62.7%
ASCII 1925
37.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
846
43.9%
1 204
 
10.6%
( 141
 
7.3%
) 141
 
7.3%
2 100
 
5.2%
, 95
 
4.9%
- 55
 
2.9%
3 55
 
2.9%
6 53
 
2.8%
4 50
 
2.6%
Other values (5) 185
 
9.6%
Hangul
ValueCountFrequency (%)
원 419
 
13.0%
치 197
 
6.1%
강 188
 
5.8%
자 188
 
5.8%
도 188
 
5.8%
시 188
 
5.8%
특 187
 
5.8%
별 187
 
5.8%
주 187
 
5.8%
동 148
 
4.6%
Other values (136) 1158
35.8%

소재지전화번호
Text

Distinct185
Distinct (%)99.5%
Missing1
Missing (%)0.5%
Memory size1.6 KiB
2023-12-13T08:45:14.387385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.048387
Min length12

Characters and Unicode

Total characters2241
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

Unique184 ?
Unique (%)98.9%

Sample

1st row033-766-6941
2nd row033-731-4811
3rd row033-742-8953
4th row033-763-5992
5th row033-733-0550
ValueCountFrequency (%)
033-744-5400 2
 
1.1%
033-748-8427 1
 
0.5%
033-743-0068 1
 
0.5%
033-766-8711 1
 
0.5%
033-735-9848 1
 
0.5%
033-733-2005 1
 
0.5%
033-733-0302 1
 
0.5%
033-747-8510 1
 
0.5%
033-732-8318 1
 
0.5%
033-763-6576 1
 
0.5%
Other values (175) 175
94.1%
2023-12-13T08:45:14.721125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 538
24.0%
- 372
16.6%
7 281
12.5%
0 278
12.4%
4 160
 
7.1%
6 134
 
6.0%
2 120
 
5.4%
5 119
 
5.3%
8 91
 
4.1%
9 79
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1869
83.4%
Dash Punctuation 372
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 538
28.8%
7 281
15.0%
0 278
14.9%
4 160
 
8.6%
6 134
 
7.2%
2 120
 
6.4%
5 119
 
6.4%
8 91
 
4.9%
9 79
 
4.2%
1 69
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 372
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2241
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 538
24.0%
- 372
16.6%
7 281
12.5%
0 278
12.4%
4 160
 
7.1%
6 134
 
6.0%
2 120
 
5.4%
5 119
 
5.3%
8 91
 
4.1%
9 79
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2241
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 538
24.0%
- 372
16.6%
7 281
12.5%
0 278
12.4%
4 160
 
7.1%
6 134
 
6.0%
2 120
 
5.4%
5 119
 
5.3%
8 91
 
4.1%
9 79
 
3.5%

주된음식
Text

Distinct125
Distinct (%)66.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-13T08:45:14.985703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length4.1764706
Min length1

Characters and Unicode

Total characters781
Distinct characters151
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

Unique98 ?
Unique (%)52.4%

Sample

1st row스테이크
2nd row한식
3rd row보쌈
4th row장어
5th row막국수
ValueCountFrequency (%)
막국수 11
 
5.3%
한식 6
 
2.9%
돼지갈비 6
 
2.9%
닭갈비 6
 
2.9%
한우구이 5
 
2.4%
감자탕 4
 
1.9%
송어회 4
 
1.9%
돼지고기 4
 
1.9%
삼겹살 4
 
1.9%
부대찌개 4
 
1.9%
Other values (119) 154
74.0%
2023-12-13T08:45:15.593197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 44
 
5.6%
탕 27
 
3.5%
국 26
 
3.3%
갈 24
 
3.1%
비 24
 
3.1%
수 22
 
2.8%
한 21
 
2.7%
21
 
2.7%
이 17
 
2.2%
식 16
 
2.0%
Other values (141) 539
69.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 715
91.5%
Other Punctuation 45
 
5.8%
Space Separator 21
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
탕 27
 
3.8%
국 26
 
3.6%
갈 24
 
3.4%
비 24
 
3.4%
수 22
 
3.1%
한 21
 
2.9%
이 17
 
2.4%
식 16
 
2.2%
기 15
 
2.1%
리 15
 
2.1%
Other values (138) 508
71.0%
Other Punctuation
ValueCountFrequency (%)
, 44
97.8%
. 1
 
2.2%
Space Separator
ValueCountFrequency (%)
21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 715
91.5%
Common 66
 
8.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
탕 27
 
3.8%
국 26
 
3.6%
갈 24
 
3.4%
비 24
 
3.4%
수 22
 
3.1%
한 21
 
2.9%
이 17
 
2.4%
식 16
 
2.2%
기 15
 
2.1%
리 15
 
2.1%
Other values (138) 508
71.0%
Common
ValueCountFrequency (%)
, 44
66.7%
21
31.8%
. 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 715
91.5%
ASCII 66
 
8.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 44
66.7%
21
31.8%
. 1
 
1.5%
Hangul
ValueCountFrequency (%)
탕 27
 
3.8%
국 26
 
3.6%
갈 24
 
3.4%
비 24
 
3.4%
수 22
 
3.1%
한 21
 
2.9%
이 17
 
2.4%
식 16
 
2.2%
기 15
 
2.1%
리 15
 
2.1%
Other values (138) 508
71.0%

주차대수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct33
Distinct (%)19.8%
Missing20
Missing (%)10.7%
Infinite0
Infinite (%)0.0%
Mean24.592814
Minimum0
Maximum300
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T08:45:15.709362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13.5
median10
Q330
95-th percentile77
Maximum300
Range300
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation43.447955
Coefficient of variation (CV)1.7666931
Kurtosis18.366899
Mean24.592814
Median Absolute Deviation (MAD)9
Skewness4.0523972
Sum4107
Variance1887.7248
MonotonicityNot monotonic
2023-12-13T08:45:15.827813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1 27
14.4%
20 19
10.2%
10 16
 
8.6%
30 15
 
8.0%
50 9
 
4.8%
3 8
 
4.3%
15 8
 
4.3%
4 8
 
4.3%
5 7
 
3.7%
40 7
 
3.7%
Other values (23) 43
23.0%
(Missing) 20
10.7%
ValueCountFrequency (%)
0 1
 
0.5%
1 27
14.4%
2 6
 
3.2%
3 8
 
4.3%
4 8
 
4.3%
5 7
 
3.7%
6 5
 
2.7%
7 2
 
1.1%
8 3
 
1.6%
9 2
 
1.1%
ValueCountFrequency (%)
300 1
 
0.5%
250 1
 
0.5%
200 4
2.1%
100 2
 
1.1%
80 1
 
0.5%
70 1
 
0.5%
60 1
 
0.5%
50 9
4.8%
48 1
 
0.5%
40 7
3.7%

수용인원
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct44
Distinct (%)26.0%
Missing18
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean87.35503
Minimum10
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T08:45:15.941468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile32.4
Q156
median76
Q3100
95-th percentile193.6
Maximum300
Range290
Interquartile range (IQR)44

Descriptive statistics

Standard deviation48.731694
Coefficient of variation (CV)0.5578579
Kurtosis3.6177188
Mean87.35503
Median Absolute Deviation (MAD)24
Skewness1.6171806
Sum14763
Variance2374.778
MonotonicityNot monotonic
2023-12-13T08:45:16.050071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
100 21
 
11.2%
60 17
 
9.1%
80 12
 
6.4%
40 11
 
5.9%
70 11
 
5.9%
120 9
 
4.8%
64 8
 
4.3%
50 8
 
4.3%
150 7
 
3.7%
200 6
 
3.2%
Other values (34) 59
31.6%
(Missing) 18
 
9.6%
ValueCountFrequency (%)
10 1
 
0.5%
14 1
 
0.5%
20 1
 
0.5%
28 1
 
0.5%
30 5
2.7%
36 2
 
1.1%
38 1
 
0.5%
40 11
5.9%
44 2
 
1.1%
45 2
 
1.1%
ValueCountFrequency (%)
300 1
 
0.5%
290 1
 
0.5%
250 1
 
0.5%
200 6
3.2%
184 1
 
0.5%
180 2
 
1.1%
160 1
 
0.5%
150 7
3.7%
140 2
 
1.1%
135 1
 
0.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2023-08-31 00:00:00
Maximum2023-08-31 00:00:00
2023-12-13T08:45:16.138798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:45:16.218911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T08:45:11.904814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:45:11.368719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:45:11.620274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:45:11.993871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:45:11.457936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:45:11.719816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:45:12.081992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:45:11.541622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:45:11.817134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:45:16.276910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번주차대수수용인원
연번1.0000.0000.000
주차대수0.0001.0000.538
수용인원0.0000.5381.000
2023-12-13T08:45:16.369222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번주차대수수용인원
연번1.0000.015-0.043
주차대수0.0151.0000.616
수용인원-0.0430.6161.000

Missing values

2023-12-13T08:45:12.204571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:45:12.365186image/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.
2023-12-13T08:45:12.470848image/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

연번업소명소재지(도로명)소재지전화번호주된음식주차대수수용인원데이터기준일자
01(유)아웃백스테이크하우스코리아(원주점)강원특별자치도 원주시 시청로 27, 지상2층 (무실동)033-766-6941스테이크201402023-08-31
12(주)위더스파크밸리레스토랑강원특별자치도 원주시 소초면 바우실길 281, 2층033-731-4811한식2002902023-08-31
23(주)항아리보쌈돌돌이김치본점강원특별자치도 원주시 서원대로 121-7, 1층 (단계동)033-742-8953보쌈31502023-08-31
34가람숯불장어강원특별자치도 원주시 판부면 서곡널다리길 20033-763-5992장어20402023-08-31
45간현막국수강원특별자치도 원주시 지정면 간현로 174, 1, 2층033-733-0550막국수1642023-08-31
56개코네돈까스강원특별자치도 원주시 남원로469번길 7-9, 1층 (명륜동)033-761-6650돈까스,소바1362023-08-31
67거복강원특별자치도 원주시 천매봉길 145 (단구동)033-766-4451갈비살5442023-08-31
78거진항코다리강원특별자치도 원주시 천사로 23-13, 1층 (단계동)033-732-7773생선회4722023-08-31
89고기로1-1강원특별자치도 원주시 버들만이길 1-1, 1층 (반곡동)033-901-7665삼겹살1562023-08-31
910고려원사랑채강원특별자치도 원주시 행가리1길 14, 지상1층 (무실동 )033-763-3344한식501502023-08-31
연번업소명소재지(도로명)소재지전화번호주된음식주차대수수용인원데이터기준일자
177178형제곰탕강원특별자치도 원주시 천사로 14-2 (단계동)033-743-0999곰탕502002023-08-31
178179홍석정원강원특별자치도 원주시 북원로 2235-12, 2층 (단계동)031-886-8830소갈비살, 소고기401302023-08-31
179180황금목장강원특별자치도 원주시 영랑길 22, 2층 (행구동)033-747-1916한우구이151202023-08-31
180181황토우렁쌈밥전문점강원특별자치도 원주시 흥업면 사제로 50-3033-762-0933순두부15602023-08-31
181182효춘천닭갈비(무실점)강원특별자치도 원주시 만대공원길 5, 1층 (무실동)033-742-9950닭갈비<NA><NA>2023-08-31
182183효춘천닭갈비(태장점)강원특별자치도 원주시 흥양로51번길 9 (태장동)033-744-0048닭갈비<NA><NA>2023-08-31
183184효춘천닭갈비본점강원특별자치도 원주시 바우골길 12, 1층 (단계동)033-748-9950닭갈비6602023-08-31
184185흑돼지삼백식당원주본점강원특별자치도 원주시 양지로 10, 2층 (반곡동)033-735-9232돼지고기41002023-08-31
185186흥양송어횟집강원특별자치도 원주시 소초면 치악로 2382, 1층033-732-5527송어회<NA><NA>2023-08-31
186187흥업묵집강원특별자치도 원주시 흥업면 남원로 29-3033-762-4210묵30702023-08-31