Overview

Dataset statistics

Number of variables5
Number of observations64
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory43.1 B

Variable types

Numeric1
Text4

Dataset

Description대구광역시_동구_모범음식점현황_20230406
Author대구광역시 동구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15052654&dataSetDetailId=150526541bbecd7eaa972&provdMethod=FILE

Alerts

연번 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 18:30:05.804486
Analysis finished2023-12-10 18:30:06.911760
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.5
Minimum1
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-11T03:30:07.032892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.15
Q116.75
median32.5
Q348.25
95-th percentile60.85
Maximum64
Range63
Interquartile range (IQR)31.5

Descriptive statistics

Standard deviation18.618987
Coefficient of variation (CV)0.5728919
Kurtosis-1.2
Mean32.5
Median Absolute Deviation (MAD)16
Skewness0
Sum2080
Variance346.66667
MonotonicityStrictly increasing
2023-12-11T03:30:07.278228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
34 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%
43 1
 
1.6%
Other values (54) 54
84.4%
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 (%)
64 1
1.6%
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%

업소명
Text

Distinct63
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-11T03:30:07.663500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10.5
Mean length6.671875
Min length2

Characters and Unicode

Total characters427
Distinct characters187
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)96.9%

Sample

1st row가장맛있는족발(동대구역점)
2nd row강원도인제황태식당
3rd row거송복어식당
4th row고려산장식당
5th row고산정삼계탕
ValueCountFrequency (%)
죽도시장 2
 
2.7%
전농부의풀꽃밥상 1
 
1.4%
소궁식당 1
 
1.4%
전원숯불 1
 
1.4%
일송정 1
 
1.4%
혁신도시점 1
 
1.4%
유가네맑은곰탕 1
 
1.4%
우미정 1
 
1.4%
옹심이칼국수식당 1
 
1.4%
아양 1
 
1.4%
Other values (63) 63
85.1%
2023-12-11T03:30:08.230617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 17
 
4.0%
당 15
 
3.5%
10
 
2.3%
점 9
 
2.1%
구 9
 
2.1%
대 8
 
1.9%
산 8
 
1.9%
수 7
 
1.6%
정 7
 
1.6%
어 6
 
1.4%
Other values (177) 331
77.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 408
95.6%
Space Separator 10
 
2.3%
Close Punctuation 2
 
0.5%
Open Punctuation 2
 
0.5%
Uppercase Letter 2
 
0.5%
Decimal Number 2
 
0.5%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 17
 
4.2%
당 15
 
3.7%
점 9
 
2.2%
구 9
 
2.2%
대 8
 
2.0%
산 8
 
2.0%
수 7
 
1.7%
정 7
 
1.7%
어 6
 
1.5%
고 6
 
1.5%
Other values (169) 316
77.5%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
C 1
50.0%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
8 1
50.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 406
95.1%
Common 17
 
4.0%
Latin 2
 
0.5%
Han 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 17
 
4.2%
당 15
 
3.7%
점 9
 
2.2%
구 9
 
2.2%
대 8
 
2.0%
산 8
 
2.0%
수 7
 
1.7%
정 7
 
1.7%
어 6
 
1.5%
고 6
 
1.5%
Other values (167) 314
77.3%
Common
ValueCountFrequency (%)
10
58.8%
) 2
 
11.8%
( 2
 
11.8%
3 1
 
5.9%
8 1
 
5.9%
, 1
 
5.9%
Latin
ValueCountFrequency (%)
I 1
50.0%
C 1
50.0%
Han
ValueCountFrequency (%)
愛 1
50.0%
家 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 406
95.1%
ASCII 19
 
4.4%
CJK 2
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 17
 
4.2%
당 15
 
3.7%
점 9
 
2.2%
구 9
 
2.2%
대 8
 
2.0%
산 8
 
2.0%
수 7
 
1.7%
정 7
 
1.7%
어 6
 
1.5%
고 6
 
1.5%
Other values (167) 314
77.3%
ASCII
ValueCountFrequency (%)
10
52.6%
) 2
 
10.5%
( 2
 
10.5%
I 1
 
5.3%
C 1
 
5.3%
3 1
 
5.3%
8 1
 
5.3%
, 1
 
5.3%
CJK
ValueCountFrequency (%)
愛 1
50.0%
家 1
50.0%

주소
Text

Distinct63
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-11T03:30:08.652187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length28
Mean length24.828125
Min length19

Characters and Unicode

Total characters1589
Distinct characters92
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

Unique62 ?
Unique (%)96.9%

Sample

1st row대구광역시 동구 동부로22길 43 (신천동)
2nd row대구광역시 동구 동북로 435 (효목동)
3rd row대구광역시 동구 동촌로 263 (방촌동)
4th row대구광역시 동구 팔공산로185길 62 (용수동)
5th row대구광역시 동구 안심로 375 (신서동)
ValueCountFrequency (%)
동구 65
20.2%
대구광역시 63
19.6%
신천동 9
 
2.8%
효목동 9
 
2.8%
신암동 8
 
2.5%
용수동 5
 
1.6%
동촌로 4
 
1.2%
팔공산로185길 4
 
1.2%
효동로2길 4
 
1.2%
송라로 4
 
1.2%
Other values (110) 146
45.5%
2023-12-11T03:30:09.396503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
284
17.9%
동 158
 
9.9%
구 129
 
8.1%
대 68
 
4.3%
) 64
 
4.0%
( 64
 
4.0%
로 63
 
4.0%
시 63
 
4.0%
역 63
 
4.0%
광 63
 
4.0%
Other values (82) 570
35.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 901
56.7%
Space Separator 284
 
17.9%
Decimal Number 246
 
15.5%
Close Punctuation 64
 
4.0%
Open Punctuation 64
 
4.0%
Other Punctuation 16
 
1.0%
Dash Punctuation 12
 
0.8%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 158
17.5%
구 129
14.3%
대 68
 
7.5%
로 63
 
7.0%
시 63
 
7.0%
역 63
 
7.0%
광 63
 
7.0%
신 30
 
3.3%
길 27
 
3.0%
효 15
 
1.7%
Other values (65) 222
24.6%
Decimal Number
ValueCountFrequency (%)
1 49
19.9%
2 43
17.5%
3 29
11.8%
4 21
8.5%
5 20
8.1%
0 20
8.1%
7 19
 
7.7%
6 17
 
6.9%
8 14
 
5.7%
9 14
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
J 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
284
100.0%
Close Punctuation
ValueCountFrequency (%)
) 64
100.0%
Open Punctuation
ValueCountFrequency (%)
( 64
100.0%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 901
56.7%
Common 686
43.2%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 158
17.5%
구 129
14.3%
대 68
 
7.5%
로 63
 
7.0%
시 63
 
7.0%
역 63
 
7.0%
광 63
 
7.0%
신 30
 
3.3%
길 27
 
3.0%
효 15
 
1.7%
Other values (65) 222
24.6%
Common
ValueCountFrequency (%)
284
41.4%
) 64
 
9.3%
( 64
 
9.3%
1 49
 
7.1%
2 43
 
6.3%
3 29
 
4.2%
4 21
 
3.1%
5 20
 
2.9%
0 20
 
2.9%
7 19
 
2.8%
Other values (5) 73
 
10.6%
Latin
ValueCountFrequency (%)
J 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 901
56.7%
ASCII 688
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
284
41.3%
) 64
 
9.3%
( 64
 
9.3%
1 49
 
7.1%
2 43
 
6.2%
3 29
 
4.2%
4 21
 
3.1%
5 20
 
2.9%
0 20
 
2.9%
7 19
 
2.8%
Other values (7) 75
 
10.9%
Hangul
ValueCountFrequency (%)
동 158
17.5%
구 129
14.3%
대 68
 
7.5%
로 63
 
7.0%
시 63
 
7.0%
역 63
 
7.0%
광 63
 
7.0%
신 30
 
3.3%
길 27
 
3.0%
효 15
 
1.7%
Other values (65) 222
24.6%

전화번호
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-11T03:30:09.829299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters768
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

Unique64 ?
Unique (%)100.0%

Sample

1st row053-744-5849
2nd row053-951-7838
3rd row053-984-6755
4th row053-982-0126
5th row053-962-6699
ValueCountFrequency (%)
053-744-5849 1
 
1.6%
053-951-7838 1
 
1.6%
053-984-2002 1
 
1.6%
053-745-7016 1
 
1.6%
053-964-5999 1
 
1.6%
053-981-4771 1
 
1.6%
053-985-3313 1
 
1.6%
053-952-1011 1
 
1.6%
053-962-5004 1
 
1.6%
053-951-0321 1
 
1.6%
Other values (54) 54
84.4%
2023-12-11T03:30:10.490072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 128
16.7%
0 114
14.8%
5 113
14.7%
3 96
12.5%
9 72
9.4%
8 49
 
6.4%
6 45
 
5.9%
2 41
 
5.3%
7 39
 
5.1%
4 37
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 640
83.3%
Dash Punctuation 128
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 114
17.8%
5 113
17.7%
3 96
15.0%
9 72
11.2%
8 49
7.7%
6 45
 
7.0%
2 41
 
6.4%
7 39
 
6.1%
4 37
 
5.8%
1 34
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 128
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 768
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 128
16.7%
0 114
14.8%
5 113
14.7%
3 96
12.5%
9 72
9.4%
8 49
 
6.4%
6 45
 
5.9%
2 41
 
5.3%
7 39
 
5.1%
4 37
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 768
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 128
16.7%
0 114
14.8%
5 113
14.7%
3 96
12.5%
9 72
9.4%
8 49
 
6.4%
6 45
 
5.9%
2 41
 
5.3%
7 39
 
5.1%
4 37
 
4.8%

주메뉴
Text

Distinct56
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-11T03:30:10.963246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length7.609375
Min length3

Characters and Unicode

Total characters487
Distinct characters132
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

Unique54 ?
Unique (%)84.4%

Sample

1st row족발,보쌈
2nd row황태찜,황태전골,황태구이
3rd row복어요리
4th row송이버섯샤브,송이버섯정식
5th row삼계탕,순살찜닭
ValueCountFrequency (%)
생선회 6
 
8.0%
복어요리 4
 
5.3%
칼국수 2
 
2.7%
돼지고기 2
 
2.7%
갈비살,등심로스구이 1
 
1.3%
한방편육,메밀면 1
 
1.3%
커피 1
 
1.3%
오리백숙,닭백숙 1
 
1.3%
생선회,물회,초밥 1
 
1.3%
닭칼국수 1
 
1.3%
Other values (55) 55
73.3%
2023-12-11T03:30:11.606961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 49
 
10.1%
이 13
 
2.7%
13
 
2.7%
리 12
 
2.5%
수 11
 
2.3%
탕 11
 
2.3%
국 11
 
2.3%
회 10
 
2.1%
한 10
 
2.1%
비 10
 
2.1%
Other values (122) 337
69.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 422
86.7%
Other Punctuation 50
 
10.3%
Space Separator 13
 
2.7%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 13
 
3.1%
리 12
 
2.8%
수 11
 
2.6%
탕 11
 
2.6%
국 11
 
2.6%
회 10
 
2.4%
한 10
 
2.4%
비 10
 
2.4%
생 9
 
2.1%
칼 9
 
2.1%
Other values (117) 316
74.9%
Other Punctuation
ValueCountFrequency (%)
, 49
98.0%
. 1
 
2.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 422
86.7%
Common 65
 
13.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 13
 
3.1%
리 12
 
2.8%
수 11
 
2.6%
탕 11
 
2.6%
국 11
 
2.6%
회 10
 
2.4%
한 10
 
2.4%
비 10
 
2.4%
생 9
 
2.1%
칼 9
 
2.1%
Other values (117) 316
74.9%
Common
ValueCountFrequency (%)
, 49
75.4%
13
 
20.0%
( 1
 
1.5%
) 1
 
1.5%
. 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 422
86.7%
ASCII 65
 
13.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 49
75.4%
13
 
20.0%
( 1
 
1.5%
) 1
 
1.5%
. 1
 
1.5%
Hangul
ValueCountFrequency (%)
이 13
 
3.1%
리 12
 
2.8%
수 11
 
2.6%
탕 11
 
2.6%
국 11
 
2.6%
회 10
 
2.4%
한 10
 
2.4%
비 10
 
2.4%
생 9
 
2.1%
칼 9
 
2.1%
Other values (117) 316
74.9%

Interactions

2023-12-11T03:30:06.491149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T03:30:11.786999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명주소전화번호주메뉴
연번1.0001.0000.9261.0000.485
업소명1.0001.0000.9981.0001.000
주소0.9260.9981.0001.0000.997
전화번호1.0001.0001.0001.0001.000
주메뉴0.4851.0000.9971.0001.000

Missing values

2023-12-11T03:30:06.662686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T03:30:06.845023image/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

연번업소명주소전화번호주메뉴
01가장맛있는족발(동대구역점)대구광역시 동구 동부로22길 43 (신천동)053-744-5849족발,보쌈
12강원도인제황태식당대구광역시 동구 동북로 435 (효목동)053-951-7838황태찜,황태전골,황태구이
23거송복어식당대구광역시 동구 동촌로 263 (방촌동)053-984-6755복어요리
34고려산장식당대구광역시 동구 팔공산로185길 62 (용수동)053-982-0126송이버섯샤브,송이버섯정식
45고산정삼계탕대구광역시 동구 안심로 375 (신서동)053-962-6699삼계탕,순살찜닭
56고향식당대구광역시 동구 팔공산로185길 63 (용수동)053-982-1755가마솥밥정식,송이전골
67고향집칼국수,재바우대구광역시 동구 송라로 93 (신천동)053-751-6850칼국수,수육,암뽕
78고향차밭골식당대구광역시 동구 팔공산로 339, 1층 (송정동)053-981-5883차밭골한정식
89공산한우식육식당대구광역시 동구 신암남로 162-1 (신암동)053-955-7272한우구이, 육회
910교동면옥반야월점대구광역시 동구 안심로73길 9, 주2동 1층 (신서동)053-965-2722물냉면, 갈비탕, 소고기육전
연번업소명주소전화번호주메뉴
5455죽도시장대구광역시 동구 율하동로28길 54, 106,107,108,109동 (신기동, 신기메디오스상가)053-965-5326생선회
5556진선재토속음식전문대구광역시 동구 갓바위로 255-10 (진인동)053-983-9066능이돌솥밥,약선정식
5657참숯골 화로구이대구광역시 동구 반야월북로 144, 2층(각산동)053-963-7501돼지고기, 삼겹살, 왕갈비
5758천서리원조메밀면대구광역시 동구 갓바위로 243-3 (진인동)053-981-6001한방편육,메밀면
5859축산물프라자 동대구IC점대구광역시 동구 화랑로 494 (용계동)053-944-9906갈비살,등심로스구이
5960큰기와집대구광역시 동구 서촌로 106 (송정동)053-956-0667오리백숙,닭백숙
6061한올면옥 율하점대구광역시 동구 율하동로10길 21(율하동)053-962-0234냉면,갈비탕,갈비찜
6162해금강대구광역시 동구 신암남로 133 (신암동)053-954-2323복어요리
6263현풍닭칼국수 신서점대구광역시 동구 신서로22길4-2(신서동)053-963-2242닭칼국수
6364올라오니대구광역시 동구 팔공산로185길 60 (용수동)053-982-0103커피, 베이커리