Overview

Dataset statistics

Number of variables10
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory87.3 B

Variable types

Numeric3
DateTime2
Text4
Categorical1

Dataset

Description광산구 내 위치한 모범 음식점(지정일자, 업소명, 소재지, 주된음식, 업태명, 위도, 경도, 기준일자, 전화번호 등) 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15055914/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
업태명 is highly imbalanced (55.9%)Imbalance
연번 has unique valuesUnique
사업장명 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-13 00:29:33.652612
Analysis finished2023-12-13 00:29:34.806919
Duration1.15 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T09:29:34.852480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.5
Q18.5
median16
Q323.5
95-th percentile29.5
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.0921211
Coefficient of variation (CV)0.56825757
Kurtosis-1.2
Mean16
Median Absolute Deviation (MAD)8
Skewness0
Sum496
Variance82.666667
MonotonicityStrictly increasing
2023-12-13T09:29:34.943738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 1
 
3.2%
2 1
 
3.2%
31 1
 
3.2%
30 1
 
3.2%
29 1
 
3.2%
28 1
 
3.2%
27 1
 
3.2%
26 1
 
3.2%
25 1
 
3.2%
24 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1 1
3.2%
2 1
3.2%
3 1
3.2%
4 1
3.2%
5 1
3.2%
6 1
3.2%
7 1
3.2%
8 1
3.2%
9 1
3.2%
10 1
3.2%
ValueCountFrequency (%)
31 1
3.2%
30 1
3.2%
29 1
3.2%
28 1
3.2%
27 1
3.2%
26 1
3.2%
25 1
3.2%
24 1
3.2%
23 1
3.2%
22 1
3.2%

지정일자
Date

Distinct18
Distinct (%)58.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum1997-07-22 00:00:00
Maximum2016-12-01 00:00:00
2023-12-13T09:29:35.024943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:29:35.109730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

사업장명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-13T09:29:35.274182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length5.3548387
Min length1

Characters and Unicode

Total characters166
Distinct characters103
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

Unique31 ?
Unique (%)100.0%

Sample

1st row(주)연경
2nd row광산나주곰탕
3rd row궁
4th row금수저은수저
5th row깐깐한족발
ValueCountFrequency (%)
주)연경 1
 
3.1%
광산나주곰탕 1
 
3.1%
황솔촌수완점 1
 
3.1%
황금진땡이광주본점 1
 
3.1%
화정떡갈비 1
 
3.1%
형제송정 1
 
3.1%
현대옥광산우산점 1
 
3.1%
해궁 1
 
3.1%
한솔 1
 
3.1%
하남낙지마당 1
 
3.1%
Other values (22) 22
68.8%
2023-12-13T09:29:35.550554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 7
 
4.2%
이 6
 
3.6%
수 6
 
3.6%
가 4
 
2.4%
주 4
 
2.4%
산 4
 
2.4%
떡 3
 
1.8%
갈 3
 
1.8%
단 3
 
1.8%
한 3
 
1.8%
Other values (93) 123
74.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 161
97.0%
Other Punctuation 2
 
1.2%
Open Punctuation 1
 
0.6%
Close Punctuation 1
 
0.6%
Space Separator 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 7
 
4.3%
이 6
 
3.7%
수 6
 
3.7%
가 4
 
2.5%
주 4
 
2.5%
산 4
 
2.5%
떡 3
 
1.9%
갈 3
 
1.9%
단 3
 
1.9%
한 3
 
1.9%
Other values (88) 118
73.3%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
# 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 161
97.0%
Common 5
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 7
 
4.3%
이 6
 
3.7%
수 6
 
3.7%
가 4
 
2.5%
주 4
 
2.5%
산 4
 
2.5%
떡 3
 
1.9%
갈 3
 
1.9%
단 3
 
1.9%
한 3
 
1.9%
Other values (88) 118
73.3%
Common
ValueCountFrequency (%)
( 1
20.0%
. 1
20.0%
) 1
20.0%
1
20.0%
# 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 161
97.0%
ASCII 5
 
3.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 7
 
4.3%
이 6
 
3.7%
수 6
 
3.7%
가 4
 
2.5%
주 4
 
2.5%
산 4
 
2.5%
떡 3
 
1.9%
갈 3
 
1.9%
단 3
 
1.9%
한 3
 
1.9%
Other values (88) 118
73.3%
ASCII
ValueCountFrequency (%)
( 1
20.0%
. 1
20.0%
) 1
20.0%
1
20.0%
# 1
20.0%

주소
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-13T09:29:35.769512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length37
Mean length30.612903
Min length23

Characters and Unicode

Total characters949
Distinct characters78
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row광주광역시 광산구 하남산단3번로 133-8 (장덕동,(지하1층))
2nd row광주광역시 광산구 상무대로 232, 1층 (송정동)
3rd row광주광역시 광산구 송도로85번길 22, 1층 (도산동)
4th row광주광역시 광산구 신창로166번길 24 (신창동,(1층))
5th row광주광역시 광산구 첨단중앙로116번길 46 (월계동)
ValueCountFrequency (%)
광주광역시 31
18.8%
광산구 31
18.8%
1층 7
 
4.2%
송정동 4
 
2.4%
46 3
 
1.8%
우산동 3
 
1.8%
광산로29번길 3
 
1.8%
월계동 3
 
1.8%
장덕동 2
 
1.2%
2층 2
 
1.2%
Other values (72) 76
46.1%
2023-12-13T09:29:36.088458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
134
 
14.1%
광 97
 
10.2%
산 45
 
4.7%
1 44
 
4.6%
( 41
 
4.3%
) 41
 
4.3%
동 34
 
3.6%
구 32
 
3.4%
시 31
 
3.3%
주 31
 
3.3%
Other values (68) 419
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 537
56.6%
Decimal Number 166
 
17.5%
Space Separator 134
 
14.1%
Open Punctuation 41
 
4.3%
Close Punctuation 41
 
4.3%
Other Punctuation 21
 
2.2%
Dash Punctuation 8
 
0.8%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 97
18.1%
산 45
 
8.4%
동 34
 
6.3%
구 32
 
6.0%
시 31
 
5.8%
주 31
 
5.8%
역 31
 
5.8%
로 30
 
5.6%
길 24
 
4.5%
번 23
 
4.3%
Other values (52) 159
29.6%
Decimal Number
ValueCountFrequency (%)
1 44
26.5%
2 30
18.1%
6 21
12.7%
3 15
 
9.0%
5 14
 
8.4%
0 13
 
7.8%
9 10
 
6.0%
4 8
 
4.8%
8 8
 
4.8%
7 3
 
1.8%
Space Separator
ValueCountFrequency (%)
134
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Other Punctuation
ValueCountFrequency (%)
, 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 537
56.6%
Common 411
43.3%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 97
18.1%
산 45
 
8.4%
동 34
 
6.3%
구 32
 
6.0%
시 31
 
5.8%
주 31
 
5.8%
역 31
 
5.8%
로 30
 
5.6%
길 24
 
4.5%
번 23
 
4.3%
Other values (52) 159
29.6%
Common
ValueCountFrequency (%)
134
32.6%
1 44
 
10.7%
( 41
 
10.0%
) 41
 
10.0%
2 30
 
7.3%
6 21
 
5.1%
, 21
 
5.1%
3 15
 
3.6%
5 14
 
3.4%
0 13
 
3.2%
Other values (5) 37
 
9.0%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 537
56.6%
ASCII 412
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
134
32.5%
1 44
 
10.7%
( 41
 
10.0%
) 41
 
10.0%
2 30
 
7.3%
6 21
 
5.1%
, 21
 
5.1%
3 15
 
3.6%
5 14
 
3.4%
0 13
 
3.2%
Other values (6) 38
 
9.2%
Hangul
ValueCountFrequency (%)
광 97
18.1%
산 45
 
8.4%
동 34
 
6.3%
구 32
 
6.0%
시 31
 
5.8%
주 31
 
5.8%
역 31
 
5.8%
로 30
 
5.6%
길 24
 
4.5%
번 23
 
4.3%
Other values (52) 159
29.6%

전화번호
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-13T09:29:36.473877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters372
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

Unique31 ?
Unique (%)100.0%

Sample

1st row062-951-9600
2nd row062-941-4080
3rd row062-944-1980
4th row062-951-0204
5th row062-973-2292
ValueCountFrequency (%)
062-951-9600 1
 
3.2%
062-941-5706 1
 
3.2%
062-943-9233 1
 
3.2%
062-952-2276 1
 
3.2%
062-944-1275 1
 
3.2%
062-944-0595 1
 
3.2%
062-945-8598 1
 
3.2%
062-955-5562 1
 
3.2%
062-956-2877 1
 
3.2%
062-955-8892 1
 
3.2%
Other values (21) 21
67.7%
2023-12-13T09:29:36.739408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 62
16.7%
2 52
14.0%
0 48
12.9%
6 47
12.6%
9 47
12.6%
5 30
8.1%
4 24
 
6.5%
7 19
 
5.1%
3 17
 
4.6%
1 14
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 310
83.3%
Dash Punctuation 62
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 52
16.8%
0 48
15.5%
6 47
15.2%
9 47
15.2%
5 30
9.7%
4 24
7.7%
7 19
 
6.1%
3 17
 
5.5%
1 14
 
4.5%
8 12
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 372
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 62
16.7%
2 52
14.0%
0 48
12.9%
6 47
12.6%
9 47
12.6%
5 30
8.1%
4 24
 
6.5%
7 19
 
5.1%
3 17
 
4.6%
1 14
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 372
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 62
16.7%
2 52
14.0%
0 48
12.9%
6 47
12.6%
9 47
12.6%
5 30
8.1%
4 24
 
6.5%
7 19
 
5.1%
3 17
 
4.6%
1 14
 
3.8%

업태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
한식
26 
중국식
 
2
경양식
 
2
횟집
 
1

Length

Max length3
Median length2
Mean length2.1290323
Min length2

Unique

Unique1 ?
Unique (%)3.2%

Sample

1st row중국식
2nd row한식
3rd row경양식
4th row한식
5th row한식

Common Values

ValueCountFrequency (%)
한식 26
83.9%
중국식 2
 
6.5%
경양식 2
 
6.5%
횟집 1
 
3.2%

Length

2023-12-13T09:29:36.843958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:29:36.918271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 26
83.9%
중국식 2
 
6.5%
경양식 2
 
6.5%
횟집 1
 
3.2%

주된음식
Text

Distinct28
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-13T09:29:37.056379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length5.0967742
Min length2

Characters and Unicode

Total characters158
Distinct characters79
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

Unique26 ?
Unique (%)83.9%

Sample

1st row코스요리
2nd row곰탕
3rd row파스타,필라프
4th row한정식
5th row족발, 보쌈
ValueCountFrequency (%)
떡갈비 3
 
7.5%
꽃등심 2
 
5.0%
곰탕 2
 
5.0%
돼지갈비 1
 
2.5%
코다리조림 1
 
2.5%
콩나물국밥 1
 
2.5%
전복구이 1
 
2.5%
꿩요리 1
 
2.5%
낙지회무침 1
 
2.5%
갈비 1
 
2.5%
Other values (26) 26
65.0%
2023-12-13T09:29:37.306340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 11
 
7.0%
비 9
 
5.7%
9
 
5.7%
갈 7
 
4.4%
리 5
 
3.2%
백 4
 
2.5%
떡 4
 
2.5%
요 3
 
1.9%
탕 3
 
1.9%
반 3
 
1.9%
Other values (69) 100
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 138
87.3%
Other Punctuation 11
 
7.0%
Space Separator 9
 
5.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
비 9
 
6.5%
갈 7
 
5.1%
리 5
 
3.6%
백 4
 
2.9%
떡 4
 
2.9%
요 3
 
2.2%
탕 3
 
2.2%
반 3
 
2.2%
꽃 3
 
2.2%
기 3
 
2.2%
Other values (67) 94
68.1%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 138
87.3%
Common 20
 
12.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
비 9
 
6.5%
갈 7
 
5.1%
리 5
 
3.6%
백 4
 
2.9%
떡 4
 
2.9%
요 3
 
2.2%
탕 3
 
2.2%
반 3
 
2.2%
꽃 3
 
2.2%
기 3
 
2.2%
Other values (67) 94
68.1%
Common
ValueCountFrequency (%)
, 11
55.0%
9
45.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 138
87.3%
ASCII 20
 
12.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 11
55.0%
9
45.0%
Hangul
ValueCountFrequency (%)
비 9
 
6.5%
갈 7
 
5.1%
리 5
 
3.6%
백 4
 
2.9%
떡 4
 
2.9%
요 3
 
2.2%
탕 3
 
2.2%
반 3
 
2.2%
꽃 3
 
2.2%
기 3
 
2.2%
Other values (67) 94
68.1%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.177591
Minimum35.099177
Maximum35.221655
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T09:29:37.407712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.099177
5-th percentile35.113137
Q135.147943
median35.189388
Q335.206039
95-th percentile35.220021
Maximum35.221655
Range0.12247866
Interquartile range (IQR)0.058096674

Descriptive statistics

Standard deviation0.03571601
Coefficient of variation (CV)0.0010153057
Kurtosis-0.49179408
Mean35.177591
Median Absolute Deviation (MAD)0.026708948
Skewness-0.65521705
Sum1090.5053
Variance0.0012756334
MonotonicityNot monotonic
2023-12-13T09:29:37.505884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
35.1901650576926 1
 
3.2%
35.1395581865587 1
 
3.2%
35.2162647213408 1
 
3.2%
35.1914772271729 1
 
3.2%
35.1628952489774 1
 
3.2%
35.1392574590298 1
 
3.2%
35.1390493873082 1
 
3.2%
35.1623179399933 1
 
3.2%
35.1920006716448 1
 
3.2%
35.1859847841916 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
35.0991765176784 1
3.2%
35.0998308439135 1
3.2%
35.1264428591214 1
3.2%
35.1390493873082 1
3.2%
35.1392574590298 1
3.2%
35.1393339600262 1
3.2%
35.1395581865587 1
3.2%
35.1399081897768 1
3.2%
35.1559772245988 1
3.2%
35.1623179399933 1
3.2%
ValueCountFrequency (%)
35.2216551787422 1
3.2%
35.2204185576787 1
3.2%
35.2196239349602 1
3.2%
35.2162775766965 1
3.2%
35.2162647213408 1
3.2%
35.2156935117088 1
3.2%
35.2151484196465 1
3.2%
35.2110074990852 1
3.2%
35.2010712635979 1
3.2%
35.2007557303835 1
3.2%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.81697
Minimum126.77512
Maximum126.85009
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T09:29:37.601172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.77512
5-th percentile126.7788
Q1126.7948
median126.81166
Q3126.84374
95-th percentile126.84822
Maximum126.85009
Range0.074975815
Interquartile range (IQR)0.04894435

Descriptive statistics

Standard deviation0.024247796
Coefficient of variation (CV)0.00019120308
Kurtosis-1.282259
Mean126.81697
Median Absolute Deviation (MAD)0.018500306
Skewness-0.049722807
Sum3931.3262
Variance0.00058795559
MonotonicityNot monotonic
2023-12-13T09:29:37.700704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
126.808852501527 1
 
3.2%
126.793159494445 1
 
3.2%
126.850092318867 1
 
3.2%
126.813112829555 1
 
3.2%
126.811659800292 1
 
3.2%
126.79494302554 1
 
3.2%
126.794654631047 1
 
3.2%
126.806800949352 1
 
3.2%
126.810924632202 1
 
3.2%
126.782374754634 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
126.775116503427 1
3.2%
126.775226905445 1
3.2%
126.782374754634 1
3.2%
126.78677637198 1
3.2%
126.793159494445 1
3.2%
126.793389615337 1
3.2%
126.794380563248 1
3.2%
126.794654631047 1
3.2%
126.79494302554 1
3.2%
126.806800949352 1
3.2%
ValueCountFrequency (%)
126.850092318867 1
3.2%
126.850073299388 1
3.2%
126.846369770534 1
3.2%
126.846332010805 1
3.2%
126.846231522719 1
3.2%
126.845477008371 1
3.2%
126.845273058736 1
3.2%
126.844350894817 1
3.2%
126.843135462613 1
3.2%
126.842301889197 1
3.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2022-12-31 00:00:00
Maximum2022-12-31 00:00:00
2023-12-13T09:29:37.780770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:29:37.854367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T09:29:34.417307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:29:34.019376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:29:34.216198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:29:34.480724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:29:34.081991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:29:34.284342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:29:34.546624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:29:34.149794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:29:34.348473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T09:29:37.927655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지정일자사업장명주소전화번호업태명주된음식위도경도
연번1.0000.5611.0001.0001.0000.1850.7940.0000.000
지정일자0.5611.0001.0001.0001.0000.0000.9310.8290.661
사업장명1.0001.0001.0001.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
업태명0.1850.0001.0001.0001.0001.0001.0000.3020.455
주된음식0.7940.9311.0001.0001.0001.0001.0000.9880.988
위도0.0000.8291.0001.0001.0000.3020.9881.0000.878
경도0.0000.6611.0001.0001.0000.4550.9880.8781.000
2023-12-13T09:29:38.026408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도업태명
연번1.0000.0130.0510.000
위도0.0131.0000.8810.150
경도0.0510.8811.0000.179
업태명0.0000.1500.1791.000

Missing values

2023-12-13T09:29:34.650850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T09:29:34.764953image/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

연번지정일자사업장명주소전화번호업태명주된음식위도경도데이터기준일자
012014-11-24(주)연경광주광역시 광산구 하남산단3번로 133-8 (장덕동,(지하1층))062-951-9600중국식코스요리35.190165126.8088532022-12-31
121997-07-22광산나주곰탕광주광역시 광산구 상무대로 232, 1층 (송정동)062-941-4080한식곰탕35.139558126.7931592022-12-31
232014-11-24궁광주광역시 광산구 송도로85번길 22, 1층 (도산동)062-944-1980경양식파스타,필라프35.126443126.7867762022-12-31
342015-04-03금수저은수저광주광역시 광산구 신창로166번길 24 (신창동,(1층))062-951-0204한식한정식35.198251126.8423022022-12-31
452016-12-01깐깐한족발광주광역시 광산구 첨단중앙로116번길 46 (월계동)062-973-2292한식족발, 보쌈35.215694126.8452732022-12-31
562006-07-28달맞이흑두부광주광역시 광산구 북문대로 500-17 (신창동)062-972-8465한식두부백반35.200756126.8431352022-12-31
672013-10-31달봉이회수산광주광역시 광산구 첨단중앙로152번길 31-16 (쌍암동,B동(1층))062-974-1133횟집생선회35.220419126.8443512022-12-31
782004-09-30동곡꽃게장광주광역시 광산구 동곡로185번길 9-1 (하산동)062-943-5005한식꽂게장 백반35.099177126.7751172022-12-31
892005-06-30매월농원광주광역시 광산구 구촌반촌길 242 (신창동)062-954-5164한식오리구이35.19106126.8500732022-12-31
9102007-03-26빛고을떡갈비광주광역시 광산구 광산로29번길 14 (송정동)062-944-6670한식떡갈비,비빔밥35.139908126.7943812022-12-31
연번지정일자사업장명주소전화번호업태명주된음식위도경도데이터기준일자
21222015-07-16통파이브첨단점광주광역시 광산구 첨단중앙로106번길 65-3, 1층 101호 (월계동)062-974-3939경양식치킨,피자35.215148126.846372022-12-31
22232002-06-10하남낙지마당광주광역시 광산구 사암로216번길 10-15 (우산동)062-955-8892한식낙지탕, 낙지회무침35.162679126.8091482022-12-31
23242005-06-30한솔광주광역시 광산구 고봉로 257 (장수동)062-956-2877한식꿩요리35.185985126.7823752022-12-31
24252013-10-31해궁광주광역시 광산구 풍영로229번길 53 (장덕동,(1층))062-955-5562한식전복구이35.192001126.8109252022-12-31
25262015-11-03현대옥광산우산점광주광역시 광산구 무진대로 239, 1층 (우산동)062-945-8598한식콩나물국밥35.162318126.8068012022-12-31
26272004-03-31형제송정광주광역시 광산구 광산로29번길 3 (송정동)062-944-0595한식떡갈비35.139049126.7946552022-12-31
27282004-03-31화정떡갈비광주광역시 광산구 광산로29번길 6 (송정동)062-944-1275한식떡갈비35.139257126.7949432022-12-31
28292015-11-03황금진땡이광주본점광주광역시 광산구 풍영철길로 15 (우산동,콜롬버스월드206호)062-952-2276한식코다리조림35.162895126.811662022-12-31
29302013-10-31황솔촌수완점광주광역시 광산구 장신로19번안길 23, 1층 (장덕동)062-943-9233한식돼지갈비35.191477126.8131132022-12-31
30312013-10-31나.첨단#광주광역시 광산구 임방울대로826번길 29-25 (쌍암동,(1층))062-972-5788한식전복요리35.216265126.8500922022-12-31