Overview

Dataset statistics

Number of variables5
Number of observations60
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory43.2 B

Variable types

Numeric1
Text4

Dataset

Description대구광역시 동구의 선진음식문화를 선도하는 모범음식점 현황 데이터입니다. 이 데이터는 업소명, 주소, 전화번호, 주메뉴 등의 항목을 포함합니다.
Author대구광역시 동구
URLhttps://www.data.go.kr/data/15052654/fileData.do

Alerts

연번 has unique valuesUnique
업소명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:03:36.920418
Analysis finished2024-04-06 08:03:38.250241
Duration1.33 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.5
Minimum1
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-04-06T17:03:38.402614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.95
Q115.75
median30.5
Q345.25
95-th percentile57.05
Maximum60
Range59
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation17.464249
Coefficient of variation (CV)0.57259833
Kurtosis-1.2
Mean30.5
Median Absolute Deviation (MAD)15
Skewness0
Sum1830
Variance305
MonotonicityStrictly increasing
2024-04-06T17:03:38.682128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.7%
32 1
 
1.7%
34 1
 
1.7%
35 1
 
1.7%
36 1
 
1.7%
37 1
 
1.7%
38 1
 
1.7%
39 1
 
1.7%
40 1
 
1.7%
41 1
 
1.7%
Other values (50) 50
83.3%
ValueCountFrequency (%)
1 1
1.7%
2 1
1.7%
3 1
1.7%
4 1
1.7%
5 1
1.7%
6 1
1.7%
7 1
1.7%
8 1
1.7%
9 1
1.7%
10 1
1.7%
ValueCountFrequency (%)
60 1
1.7%
59 1
1.7%
58 1
1.7%
57 1
1.7%
56 1
1.7%
55 1
1.7%
54 1
1.7%
53 1
1.7%
52 1
1.7%
51 1
1.7%

업소명
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-04-06T17:03:39.243546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11.5
Mean length6.7666667
Min length2

Characters and Unicode

Total characters406
Distinct characters182
Distinct categories6 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)100.0%

Sample

1st row가장맛있는족발(동대구역점)
2nd row강원도인제황태식당
3rd row거송복어식당
4th row고려산장식당
5th row고산정삼계탕
ValueCountFrequency (%)
가장맛있는족발(동대구역점 1
 
1.4%
옹심이칼국수식당 1
 
1.4%
일송정 1
 
1.4%
반야월점 1
 
1.4%
복국 1
 
1.4%
선산곱창 1
 
1.4%
일막이곱 1
 
1.4%
우미정 1
 
1.4%
올라오니 1
 
1.4%
현풍닭칼국수 1
 
1.4%
Other values (60) 60
85.7%
2024-04-06T17:03:40.054065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 16
 
3.9%
당 15
 
3.7%
산 11
 
2.7%
10
 
2.5%
수 8
 
2.0%
구 8
 
2.0%
점 8
 
2.0%
국 7
 
1.7%
정 7
 
1.7%
대 7
 
1.7%
Other values (172) 309
76.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 389
95.8%
Space Separator 10
 
2.5%
Close Punctuation 2
 
0.5%
Open Punctuation 2
 
0.5%
Uppercase Letter 2
 
0.5%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 16
 
4.1%
당 15
 
3.9%
산 11
 
2.8%
수 8
 
2.1%
구 8
 
2.1%
점 8
 
2.1%
국 7
 
1.8%
정 7
 
1.8%
대 7
 
1.8%
이 6
 
1.5%
Other values (166) 296
76.1%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
I 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 387
95.3%
Common 15
 
3.7%
Latin 2
 
0.5%
Han 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 16
 
4.1%
당 15
 
3.9%
산 11
 
2.8%
수 8
 
2.1%
구 8
 
2.1%
점 8
 
2.1%
국 7
 
1.8%
정 7
 
1.8%
대 7
 
1.8%
이 6
 
1.6%
Other values (164) 294
76.0%
Common
ValueCountFrequency (%)
10
66.7%
) 2
 
13.3%
( 2
 
13.3%
. 1
 
6.7%
Latin
ValueCountFrequency (%)
C 1
50.0%
I 1
50.0%
Han
ValueCountFrequency (%)
家 1
50.0%
愛 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 387
95.3%
ASCII 17
 
4.2%
CJK 2
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 16
 
4.1%
당 15
 
3.9%
산 11
 
2.8%
수 8
 
2.1%
구 8
 
2.1%
점 8
 
2.1%
국 7
 
1.8%
정 7
 
1.8%
대 7
 
1.8%
이 6
 
1.6%
Other values (164) 294
76.0%
ASCII
ValueCountFrequency (%)
10
58.8%
) 2
 
11.8%
( 2
 
11.8%
C 1
 
5.9%
I 1
 
5.9%
. 1
 
5.9%
CJK
ValueCountFrequency (%)
家 1
50.0%
愛 1
50.0%

주소
Text

Distinct57
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-04-06T17:03:40.598384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length31
Mean length24.833333
Min length20

Characters and Unicode

Total characters1490
Distinct characters87
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

Unique54 ?
Unique (%)90.0%

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 (%)
대구광역시 60
19.0%
동구 59
18.7%
효목동 10
 
3.2%
신암동 9
 
2.8%
신천동 9
 
2.8%
1층 7
 
2.2%
용수동 5
 
1.6%
신서동 4
 
1.3%
팔공산로185길 4
 
1.3%
화랑로 4
 
1.3%
Other values (106) 145
45.9%
2024-04-06T17:03:41.541129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
258
17.3%
동 147
 
9.9%
구 120
 
8.1%
대 64
 
4.3%
) 60
 
4.0%
광 60
 
4.0%
역 60
 
4.0%
시 60
 
4.0%
( 60
 
4.0%
로 59
 
4.0%
Other values (77) 542
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 848
56.9%
Space Separator 258
 
17.3%
Decimal Number 234
 
15.7%
Close Punctuation 60
 
4.0%
Open Punctuation 60
 
4.0%
Other Punctuation 19
 
1.3%
Dash Punctuation 10
 
0.7%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 147
17.3%
구 120
14.2%
대 64
 
7.5%
광 60
 
7.1%
역 60
 
7.1%
시 60
 
7.1%
로 59
 
7.0%
신 29
 
3.4%
길 24
 
2.8%
효 15
 
1.8%
Other values (61) 210
24.8%
Decimal Number
ValueCountFrequency (%)
1 47
20.1%
2 42
17.9%
3 29
12.4%
4 21
9.0%
7 19
8.1%
6 18
 
7.7%
5 16
 
6.8%
0 16
 
6.8%
9 14
 
6.0%
8 12
 
5.1%
Space Separator
ValueCountFrequency (%)
258
100.0%
Close Punctuation
ValueCountFrequency (%)
) 60
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Other Punctuation
ValueCountFrequency (%)
, 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 848
56.9%
Common 641
43.0%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 147
17.3%
구 120
14.2%
대 64
 
7.5%
광 60
 
7.1%
역 60
 
7.1%
시 60
 
7.1%
로 59
 
7.0%
신 29
 
3.4%
길 24
 
2.8%
효 15
 
1.8%
Other values (61) 210
24.8%
Common
ValueCountFrequency (%)
258
40.2%
) 60
 
9.4%
( 60
 
9.4%
1 47
 
7.3%
2 42
 
6.6%
3 29
 
4.5%
4 21
 
3.3%
7 19
 
3.0%
, 19
 
3.0%
6 18
 
2.8%
Other values (5) 68
 
10.6%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 848
56.9%
ASCII 642
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
258
40.2%
) 60
 
9.3%
( 60
 
9.3%
1 47
 
7.3%
2 42
 
6.5%
3 29
 
4.5%
4 21
 
3.3%
7 19
 
3.0%
, 19
 
3.0%
6 18
 
2.8%
Other values (6) 69
 
10.7%
Hangul
ValueCountFrequency (%)
동 147
17.3%
구 120
14.2%
대 64
 
7.5%
광 60
 
7.1%
역 60
 
7.1%
시 60
 
7.1%
로 59
 
7.0%
신 29
 
3.4%
길 24
 
2.8%
효 15
 
1.8%
Other values (61) 210
24.8%

전화번호
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-04-06T17:03:41.999073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters720
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

Unique60 ?
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
 
1.7%
053-951-7838 1
 
1.7%
053-953-5326 1
 
1.7%
053-745-7016 1
 
1.7%
053-964-5999 1
 
1.7%
053-985-3313 1
 
1.7%
053-952-1011 1
 
1.7%
053-962-5004 1
 
1.7%
053-951-0321 1
 
1.7%
053-941-6161 1
 
1.7%
Other values (50) 50
83.3%
2024-04-06T17:03:42.931973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 120
16.7%
5 107
14.9%
0 106
14.7%
3 89
12.4%
9 65
9.0%
8 48
 
6.7%
6 40
 
5.6%
7 38
 
5.3%
2 38
 
5.3%
4 36
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 600
83.3%
Dash Punctuation 120
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 107
17.8%
0 106
17.7%
3 89
14.8%
9 65
10.8%
8 48
8.0%
6 40
 
6.7%
7 38
 
6.3%
2 38
 
6.3%
4 36
 
6.0%
1 33
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 720
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 120
16.7%
5 107
14.9%
0 106
14.7%
3 89
12.4%
9 65
9.0%
8 48
 
6.7%
6 40
 
5.6%
7 38
 
5.3%
2 38
 
5.3%
4 36
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 720
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 120
16.7%
5 107
14.9%
0 106
14.7%
3 89
12.4%
9 65
9.0%
8 48
 
6.7%
6 40
 
5.6%
7 38
 
5.3%
2 38
 
5.3%
4 36
 
5.0%

주메뉴
Text

Distinct52
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-04-06T17:03:43.333252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length7.2333333
Min length3

Characters and Unicode

Total characters434
Distinct characters125
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)83.3%

Sample

1st row족발+보쌈
2nd row황태찜+황태전골+황태구이
3rd row복어요리
4th row송이버섯샤브+송이버섯정식
5th row삼계탕+순살찜닭
ValueCountFrequency (%)
생선회 6
 
9.7%
복어요리 4
 
6.5%
복칼제비 1
 
1.6%
족발+보쌈 1
 
1.6%
삼계탕+백숙 1
 
1.6%
해물오리백숙+한방오리백숙 1
 
1.6%
손칼국수 1
 
1.6%
순두부 1
 
1.6%
바지락칼국수+꽃게닭도리탕 1
 
1.6%
칼국수+돼지수육 1
 
1.6%
Other values (44) 44
71.0%
2024-04-06T17:03:43.973945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 42
 
9.7%
리 12
 
2.8%
이 12
 
2.8%
국 11
 
2.5%
수 11
 
2.5%
회 10
 
2.3%
탕 9
 
2.1%
칼 9
 
2.1%
한 9
 
2.1%
생 9
 
2.1%
Other values (115) 300
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 384
88.5%
Math Symbol 42
 
9.7%
Space Separator 4
 
0.9%
Other Punctuation 2
 
0.5%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 12
 
3.1%
이 12
 
3.1%
국 11
 
2.9%
수 11
 
2.9%
회 10
 
2.6%
탕 9
 
2.3%
칼 9
 
2.3%
한 9
 
2.3%
생 9
 
2.3%
스 8
 
2.1%
Other values (110) 284
74.0%
Math Symbol
ValueCountFrequency (%)
+ 42
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 384
88.5%
Common 50
 
11.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 12
 
3.1%
이 12
 
3.1%
국 11
 
2.9%
수 11
 
2.9%
회 10
 
2.6%
탕 9
 
2.3%
칼 9
 
2.3%
한 9
 
2.3%
생 9
 
2.3%
스 8
 
2.1%
Other values (110) 284
74.0%
Common
ValueCountFrequency (%)
+ 42
84.0%
4
 
8.0%
, 2
 
4.0%
) 1
 
2.0%
( 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 384
88.5%
ASCII 50
 
11.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 42
84.0%
4
 
8.0%
, 2
 
4.0%
) 1
 
2.0%
( 1
 
2.0%
Hangul
ValueCountFrequency (%)
리 12
 
3.1%
이 12
 
3.1%
국 11
 
2.9%
수 11
 
2.9%
회 10
 
2.6%
탕 9
 
2.3%
칼 9
 
2.3%
한 9
 
2.3%
생 9
 
2.3%
스 8
 
2.1%
Other values (110) 284
74.0%

Interactions

2024-04-06T17:03:37.780409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:03:44.146187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명주소전화번호주메뉴
연번1.0001.0000.7921.0000.570
업소명1.0001.0001.0001.0001.000
주소0.7921.0001.0001.0000.991
전화번호1.0001.0001.0001.0001.000
주메뉴0.5701.0000.9911.0001.000

Missing values

2024-04-06T17:03:37.991700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:03:38.169786image/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 2,3층 (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
5051제주섭이네해장국대구광역시 동구 신암남로 164 (신암동)053-943-8686육개장
5152죽도시장대구광역시 동구 율하동로28길 54, 106,107,108,109동 (신기동, 신기메디오스상가)053-965-5326생선회
5253참숯골 화로구이대구광역시 동구 반야월북로 144, 2층 (각산동)053-963-7501돼지고기+삼겹살+왕갈비
5354천서리원조메밀면대구광역시 동구 갓바위로 243-3 (진인동)053-981-6001한방편육+메밀면
5455축산물프라자동대구IC점대구광역시 동구 화랑로 494 (용계동)053-944-9906갈비살+등심로스구이
5556큰기와집대구광역시 동구 서촌로 106 (송정동)053-956-0667오리백숙+닭백숙
5657팔공산레스토랑수다대구광역시 동구 동화사2길 21-10 (용수동)053-981-4771파스타+스테이크+화덕피자
5758해금강대구광역시 동구신암남로 133 (신암동)053-954-2323복어요리
5859현풍닭칼국수 신서점대구광역시 동구 신서로22길 4-2 (신서동)053-963-2242닭칼국수
5960형제 복어 불고기대구광역시 동구 동부로30길 18 (신천동)053-752-4456복불고기