Overview

Dataset statistics

Number of variables6
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory52.7 B

Variable types

Numeric1
Categorical2
Text3

Dataset

Description대구광역시 동구 「동구 5味」전문음식점 현황데이터입니다. 이 데이터는 요리구분, 업소명, 주소, 전화번호, 주메뉴 등의 항목을 포함합니다.-동구5味 : 연근요리, 오리요리, 산채요리, 닭요리, 미나리삼겹살
Author대구광역시 동구
URLhttps://www.data.go.kr/data/15052652/fileData.do

Alerts

연번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
주메뉴 is highly overall correlated with 구분High correlation
연번 has unique valuesUnique
업소명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:28:37.162338
Analysis finished2024-04-06 08:28:38.342463
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.5
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-06T17:28:38.483560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.75
Q19.75
median18.5
Q327.25
95-th percentile34.25
Maximum36
Range35
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation10.535654
Coefficient of variation (CV)0.5694948
Kurtosis-1.2
Mean18.5
Median Absolute Deviation (MAD)9
Skewness0
Sum666
Variance111
MonotonicityStrictly increasing
2024-04-06T17:28:38.761266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1 1
 
2.8%
20 1
 
2.8%
22 1
 
2.8%
23 1
 
2.8%
24 1
 
2.8%
25 1
 
2.8%
26 1
 
2.8%
27 1
 
2.8%
28 1
 
2.8%
29 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
1 1
2.8%
2 1
2.8%
3 1
2.8%
4 1
2.8%
5 1
2.8%
6 1
2.8%
7 1
2.8%
8 1
2.8%
9 1
2.8%
10 1
2.8%
ValueCountFrequency (%)
36 1
2.8%
35 1
2.8%
34 1
2.8%
33 1
2.8%
32 1
2.8%
31 1
2.8%
30 1
2.8%
29 1
2.8%
28 1
2.8%
27 1
2.8%

구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size420.0 B
닭요리
24 
오리요리
7 
연근요리
 
2
산채요리
 
2
미나리삼겹살
 
1

Length

Max length6
Median length3
Mean length3.3888889
Min length3

Unique

Unique1 ?
Unique (%)2.8%

Sample

1st row연근요리
2nd row연근요리
3rd row오리요리
4th row오리요리
5th row오리요리

Common Values

ValueCountFrequency (%)
닭요리 24
66.7%
오리요리 7
 
19.4%
연근요리 2
 
5.6%
산채요리 2
 
5.6%
미나리삼겹살 1
 
2.8%

Length

2024-04-06T17:28:39.072478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:28:39.303340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
닭요리 24
66.7%
오리요리 7
 
19.4%
연근요리 2
 
5.6%
산채요리 2
 
5.6%
미나리삼겹살 1
 
2.8%

업소명
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-04-06T17:28:39.685838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length5.6666667
Min length3

Characters and Unicode

Total characters204
Distinct characters109
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

Unique36 ?
Unique (%)100.0%

Sample

1st row다중헌
2nd row진선재토속음식전문
3rd row쌍쌍오리한마당
4th row하늘천따지식당
5th row큰기와집
ValueCountFrequency (%)
다중헌 1
 
2.6%
운수좋은날 1
 
2.6%
만남의 1
 
2.6%
광장 1
 
2.6%
무릉도원식당 1
 
2.6%
부산식당 1
 
2.6%
삼아통닭식당 1
 
2.6%
아가씨와건달들 1
 
2.6%
아로마 1
 
2.6%
팔공은가비 1
 
2.6%
Other values (28) 28
73.7%
2024-04-06T17:28:40.472412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 15
 
7.4%
당 14
 
6.9%
집 5
 
2.5%
아 5
 
2.5%
통 5
 
2.5%
와 4
 
2.0%
산 4
 
2.0%
오 4
 
2.0%
대 4
 
2.0%
닭 4
 
2.0%
Other values (99) 140
68.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 202
99.0%
Space Separator 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 15
 
7.4%
당 14
 
6.9%
집 5
 
2.5%
아 5
 
2.5%
통 5
 
2.5%
와 4
 
2.0%
산 4
 
2.0%
오 4
 
2.0%
대 4
 
2.0%
닭 4
 
2.0%
Other values (98) 138
68.3%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 202
99.0%
Common 2
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 15
 
7.4%
당 14
 
6.9%
집 5
 
2.5%
아 5
 
2.5%
통 5
 
2.5%
와 4
 
2.0%
산 4
 
2.0%
오 4
 
2.0%
대 4
 
2.0%
닭 4
 
2.0%
Other values (98) 138
68.3%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 202
99.0%
ASCII 2
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 15
 
7.4%
당 14
 
6.9%
집 5
 
2.5%
아 5
 
2.5%
통 5
 
2.5%
와 4
 
2.0%
산 4
 
2.0%
오 4
 
2.0%
대 4
 
2.0%
닭 4
 
2.0%
Other values (98) 138
68.3%
ASCII
ValueCountFrequency (%)
2
100.0%

주소
Text

Distinct33
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-04-06T17:28:40.976237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length23.722222
Min length20

Characters and Unicode

Total characters854
Distinct characters75
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

Unique30 ?
Unique (%)83.3%

Sample

1st row대구광역시 동구 과학로2길 14-1(각산동)
2nd row대구광역시 동구 갓바위로 255-10(진인동)
3rd row대구광역시 동구 화랑로88길 76(방촌동)
4th row대구광역시 동구 서촌로 129(송정동)
5th row대구광역시 동구 서촌로 106(송정동)
ValueCountFrequency (%)
대구광역시 36
23.2%
동구 36
23.2%
아양로9길 13
 
8.4%
아양로 4
 
2.6%
아양로7길 3
 
1.9%
신암뜨란채 3
 
1.9%
12 3
 
1.9%
서촌로 2
 
1.3%
3(신암동 2
 
1.3%
가상가동 2
 
1.3%
Other values (49) 51
32.9%
2024-04-06T17:28:41.740546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
119
 
13.9%
동 76
 
8.9%
구 73
 
8.5%
대 39
 
4.6%
시 36
 
4.2%
( 36
 
4.2%
역 36
 
4.2%
) 36
 
4.2%
광 36
 
4.2%
로 35
 
4.1%
Other values (65) 332
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 530
62.1%
Space Separator 119
 
13.9%
Decimal Number 116
 
13.6%
Open Punctuation 36
 
4.2%
Close Punctuation 36
 
4.2%
Dash Punctuation 11
 
1.3%
Other Punctuation 6
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 76
14.3%
구 73
13.8%
대 39
 
7.4%
시 36
 
6.8%
역 36
 
6.8%
광 36
 
6.8%
로 35
 
6.6%
신 25
 
4.7%
암 25
 
4.7%
길 23
 
4.3%
Other values (49) 126
23.8%
Decimal Number
ValueCountFrequency (%)
1 20
17.2%
9 17
14.7%
5 15
12.9%
6 14
12.1%
2 12
10.3%
3 9
7.8%
8 9
7.8%
7 9
7.8%
4 6
 
5.2%
0 5
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 5
83.3%
. 1
 
16.7%
Space Separator
ValueCountFrequency (%)
119
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 530
62.1%
Common 324
37.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 76
14.3%
구 73
13.8%
대 39
 
7.4%
시 36
 
6.8%
역 36
 
6.8%
광 36
 
6.8%
로 35
 
6.6%
신 25
 
4.7%
암 25
 
4.7%
길 23
 
4.3%
Other values (49) 126
23.8%
Common
ValueCountFrequency (%)
119
36.7%
( 36
 
11.1%
) 36
 
11.1%
1 20
 
6.2%
9 17
 
5.2%
5 15
 
4.6%
6 14
 
4.3%
2 12
 
3.7%
- 11
 
3.4%
3 9
 
2.8%
Other values (6) 35
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 530
62.1%
ASCII 324
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
119
36.7%
( 36
 
11.1%
) 36
 
11.1%
1 20
 
6.2%
9 17
 
5.2%
5 15
 
4.6%
6 14
 
4.3%
2 12
 
3.7%
- 11
 
3.4%
3 9
 
2.8%
Other values (6) 35
 
10.8%
Hangul
ValueCountFrequency (%)
동 76
14.3%
구 73
13.8%
대 39
 
7.4%
시 36
 
6.8%
역 36
 
6.8%
광 36
 
6.8%
로 35
 
6.6%
신 25
 
4.7%
암 25
 
4.7%
길 23
 
4.3%
Other values (49) 126
23.8%

전화번호
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-04-06T17:28:42.162511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters432
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

Unique36 ?
Unique (%)100.0%

Sample

1st row053-766-7022
2nd row053-983-9066
3rd row053-983-6689
4th row053-982-6190
5th row053-956-0667
ValueCountFrequency (%)
053-766-7022 1
 
2.8%
053-983-9066 1
 
2.8%
053-954-6800 1
 
2.8%
053-951-3450 1
 
2.8%
053-944-1884 1
 
2.8%
053-952-1346 1
 
2.8%
053-952-3650 1
 
2.8%
053-955-5044 1
 
2.8%
053-957-8227 1
 
2.8%
053-959-2759 1
 
2.8%
Other values (26) 26
72.2%
2024-04-06T17:28:43.030941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 72
16.7%
5 70
16.2%
0 59
13.7%
9 54
12.5%
3 48
11.1%
8 31
7.2%
6 26
 
6.0%
4 25
 
5.8%
2 19
 
4.4%
7 14
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 360
83.3%
Dash Punctuation 72
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 70
19.4%
0 59
16.4%
9 54
15.0%
3 48
13.3%
8 31
8.6%
6 26
 
7.2%
4 25
 
6.9%
2 19
 
5.3%
7 14
 
3.9%
1 14
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 432
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 72
16.7%
5 70
16.2%
0 59
13.7%
9 54
12.5%
3 48
11.1%
8 31
7.2%
6 26
 
6.0%
4 25
 
5.8%
2 19
 
4.4%
7 14
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 432
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 72
16.7%
5 70
16.2%
0 59
13.7%
9 54
12.5%
3 48
11.1%
8 31
7.2%
6 26
 
6.0%
4 25
 
5.8%
2 19
 
4.4%
7 14
 
3.2%

주메뉴
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Memory size420.0 B
모듬똥집
20 
생오리구이
 
2
연근정식
 
1
연요리정찬
 
1
한방해신탕
 
1
Other values (11)
11 

Length

Max length17
Median length4
Mean length5.5555556
Min length3

Unique

Unique14 ?
Unique (%)38.9%

Sample

1st row연근정식
2nd row연요리정찬
3rd row생오리구이
4th row생오리구이
5th row한방해신탕

Common Values

ValueCountFrequency (%)
모듬똥집 20
55.6%
생오리구이 2
 
5.6%
연근정식 1
 
2.8%
연요리정찬 1
 
2.8%
한방해신탕 1
 
2.8%
백숙+냉면 1
 
2.8%
능이한방오리백숙+산더미오리불고기 1
 
2.8%
오리산더미+오리능이백숙 1
 
2.8%
차밭골 정식 1
 
2.8%
곤드레밥보쌈세트 1
 
2.8%
Other values (6) 6
 
16.7%

Length

2024-04-06T17:28:43.285350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
모듬똥집 20
51.3%
생오리구이 2
 
5.1%
곤드레밥보쌈세트 1
 
2.6%
능이닭백숙+오리불고기 1
 
2.6%
닭목살 1
 
2.6%
닭목살+갈비맛 1
 
2.6%
양념 1
 
2.6%
삼계탕+찜닭 1
 
2.6%
옻닭+옻오리 1
 
2.6%
삼계탕 1
 
2.6%
Other values (9) 9
23.1%

Interactions

2024-04-06T17:28:37.676108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:28:43.459308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분업소명주소전화번호주메뉴
연번1.0000.8561.0000.8171.0000.653
구분0.8561.0001.0001.0001.0001.000
업소명1.0001.0001.0001.0001.0001.000
주소0.8171.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
주메뉴0.6531.0001.0001.0001.0001.000
2024-04-06T17:28:43.640374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주메뉴구분
주메뉴1.0000.803
구분0.8031.000
2024-04-06T17:28:43.841947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분주메뉴
연번1.0000.5490.231
구분0.5491.0000.803
주메뉴0.2310.8031.000

Missing values

2024-04-06T17:28:37.986916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:28:38.231986image/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

연번구분업소명주소전화번호주메뉴
01연근요리다중헌대구광역시 동구 과학로2길 14-1(각산동)053-766-7022연근정식
12연근요리진선재토속음식전문대구광역시 동구 갓바위로 255-10(진인동)053-983-9066연요리정찬
23오리요리쌍쌍오리한마당대구광역시 동구 화랑로88길 76(방촌동)053-983-6689생오리구이
34오리요리하늘천따지식당대구광역시 동구 서촌로 129(송정동)053-982-6190생오리구이
45오리요리큰기와집대구광역시 동구 서촌로 106(송정동)053-956-0667한방해신탕
56오리요리해아래숲대구광역시 동구 파계로138길 26(중대동)053-985-8052백숙+냉면
67오리요리송해와오리백숙대구광역시 동구 율하서로 76(율하동)053-964-5999능이한방오리백숙+산더미오리불고기
78오리요리오리짱대구광역시 동구 효동로6길 86. 2층(효목동)053-959-9252오리산더미+오리능이백숙
89산채요리고향차밭골식당대구광역시 동구 팔공산로 339(송정동)053-981-5883차밭골 정식
910산채요리산중식당대구광역시 동구 팔공산로185길 55(용수동)053-982-0077곤드레밥보쌈세트
연번구분업소명주소전화번호주메뉴
2627닭요리오동나무식당대구광역시 동구 아양로 53-2(신암동)053-954-6800모듬똥집
2728닭요리운수좋은날대구광역시 동구 아양로9길 6-3(신암동)053-959-2759모듬똥집
2829닭요리진미통닭식당대구광역시 동구 아양로9길 10(신암동)053-954-6580모듬똥집
2930닭요리타이타닉식당대구광역시 동구 아양로9길 3(신암동)053-954-2802모듬똥집
3031닭요리평강공주와 온달장군식당대구광역시 동구 아양로9길 6-1(신암동)053-959-7986모듬똥집
3132닭요리평화통닭식당대구광역시 동구 아양로9길 6-6(신암동)053-958-0816모듬똥집
3233닭요리장수삼계탕대구광역시 동구 메디밸리로 5-25(대림동)053-965-0078삼계탕+찜닭
3334닭요리신산홍대구광역시 동구 아양로7길 12, 가상가동 지하1층 108호 (신암동, 신암뜨란채)053-944-5650양념 닭목살+갈비맛 닭목살
3435오리요리팔공은가비대구광역시 동구 용천로 58(미곡동)053-983-8886능이닭백숙+오리불고기
3536미나리삼겹살대성식육식당대구광역시 동구 구암길 8, 1층(미대동)053-981-7649미나리삼겹살