Overview

Dataset statistics

Number of variables5
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory45.9 B

Variable types

Numeric1
Text4

Dataset

Description대구광역시_동구_동구맛집현황_20200515
Author대구광역시 동구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15052653&dataSetDetailId=150526532b84cc28136d0&provdMethod=FILE

Alerts

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

Reproduction

Analysis started2024-04-21 10:41:35.658375
Analysis finished2024-04-21 10:41:36.790517
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.5
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size362.0 B
2024-04-21T19:41:36.983599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q17.25
median13.5
Q319.75
95-th percentile24.75
Maximum26
Range25
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation7.6485293
Coefficient of variation (CV)0.56655772
Kurtosis-1.2
Mean13.5
Median Absolute Deviation (MAD)6.5
Skewness0
Sum351
Variance58.5
MonotonicityStrictly increasing
2024-04-21T19:41:37.376250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 1
 
3.8%
15 1
 
3.8%
26 1
 
3.8%
25 1
 
3.8%
24 1
 
3.8%
23 1
 
3.8%
22 1
 
3.8%
21 1
 
3.8%
20 1
 
3.8%
19 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
1 1
3.8%
2 1
3.8%
3 1
3.8%
4 1
3.8%
5 1
3.8%
6 1
3.8%
7 1
3.8%
8 1
3.8%
9 1
3.8%
10 1
3.8%
ValueCountFrequency (%)
26 1
3.8%
25 1
3.8%
24 1
3.8%
23 1
3.8%
22 1
3.8%
21 1
3.8%
20 1
3.8%
19 1
3.8%
18 1
3.8%
17 1
3.8%

업소명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size336.0 B
2024-04-21T19:41:38.126673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length5.4230769
Min length2

Characters and Unicode

Total characters141
Distinct characters92
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

Unique26 ?
Unique (%)100.0%

Sample

1st row강릉원조초당순두부
2nd row거송복어식당
3rd row고려가든
4th row고향집칼국수.재바우
5th row고향차밭골
ValueCountFrequency (%)
강릉원조초당순두부 1
 
3.8%
거송복어식당 1
 
3.8%
화우정식당 1
 
3.8%
해아래숲 1
 
3.8%
청정한우숯불 1
 
3.8%
청석돌식당 1
 
3.8%
천서리원조메밀면 1
 
3.8%
진선재토속음식전문 1
 
3.8%
재바우참숯불 1
 
3.8%
연뜨락 1
 
3.8%
Other values (16) 16
61.5%
2024-04-21T19:41:39.319203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 7
 
5.0%
식 6
 
4.3%
수 4
 
2.8%
정 4
 
2.8%
우 4
 
2.8%
토 3
 
2.1%
가 3
 
2.1%
고 3
 
2.1%
재 3
 
2.1%
바 2
 
1.4%
Other values (82) 102
72.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 140
99.3%
Other Punctuation 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 7
 
5.0%
식 6
 
4.3%
수 4
 
2.9%
정 4
 
2.9%
우 4
 
2.9%
토 3
 
2.1%
가 3
 
2.1%
고 3
 
2.1%
재 3
 
2.1%
바 2
 
1.4%
Other values (81) 101
72.1%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 140
99.3%
Common 1
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 7
 
5.0%
식 6
 
4.3%
수 4
 
2.9%
정 4
 
2.9%
우 4
 
2.9%
토 3
 
2.1%
가 3
 
2.1%
고 3
 
2.1%
재 3
 
2.1%
바 2
 
1.4%
Other values (81) 101
72.1%
Common
ValueCountFrequency (%)
. 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 140
99.3%
ASCII 1
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 7
 
5.0%
식 6
 
4.3%
수 4
 
2.9%
정 4
 
2.9%
우 4
 
2.9%
토 3
 
2.1%
가 3
 
2.1%
고 3
 
2.1%
재 3
 
2.1%
바 2
 
1.4%
Other values (81) 101
72.1%
ASCII
ValueCountFrequency (%)
. 1
100.0%

주소
Text

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size336.0 B
2024-04-21T19:41:40.081906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length22.5
Min length20

Characters and Unicode

Total characters585
Distinct characters60
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

Unique24 ?
Unique (%)92.3%

Sample

1st row대구광역시 동구 효동로6길 37(효목동)
2nd row대구광역시 동구 동촌로 263(방촌동)
3rd row대구광역시 동구 팔공산로185길 60(용수동)
4th row대구광역시 동구 송라로 93(신천동)
5th row대구광역시 동구 파계로138길 12(중대동)
ValueCountFrequency (%)
대구광역시 26
25.2%
동구 26
25.2%
갓바위로 4
 
3.9%
효동로6길 2
 
1.9%
송라로 2
 
1.9%
93(신천동 2
 
1.9%
팔공산로185길 2
 
1.9%
파계로138길 2
 
1.9%
63(신암동 1
 
1.0%
화랑로88길 1
 
1.0%
Other values (35) 35
34.0%
2024-04-21T19:41:41.236138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
77
 
13.2%
동 57
 
9.7%
구 53
 
9.1%
대 31
 
5.3%
) 26
 
4.4%
광 26
 
4.4%
역 26
 
4.4%
시 26
 
4.4%
( 26
 
4.4%
로 25
 
4.3%
Other values (50) 212
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 356
60.9%
Decimal Number 92
 
15.7%
Space Separator 77
 
13.2%
Close Punctuation 26
 
4.4%
Open Punctuation 26
 
4.4%
Dash Punctuation 8
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 57
16.0%
구 53
14.9%
대 31
 
8.7%
광 26
 
7.3%
역 26
 
7.3%
시 26
 
7.3%
로 25
 
7.0%
길 12
 
3.4%
산 5
 
1.4%
효 5
 
1.4%
Other values (36) 90
25.3%
Decimal Number
ValueCountFrequency (%)
1 14
15.2%
2 14
15.2%
6 12
13.0%
3 12
13.0%
5 10
10.9%
8 9
9.8%
4 8
8.7%
0 5
 
5.4%
7 5
 
5.4%
9 3
 
3.3%
Space Separator
ValueCountFrequency (%)
77
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 356
60.9%
Common 229
39.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 57
16.0%
구 53
14.9%
대 31
 
8.7%
광 26
 
7.3%
역 26
 
7.3%
시 26
 
7.3%
로 25
 
7.0%
길 12
 
3.4%
산 5
 
1.4%
효 5
 
1.4%
Other values (36) 90
25.3%
Common
ValueCountFrequency (%)
77
33.6%
) 26
 
11.4%
( 26
 
11.4%
1 14
 
6.1%
2 14
 
6.1%
6 12
 
5.2%
3 12
 
5.2%
5 10
 
4.4%
8 9
 
3.9%
4 8
 
3.5%
Other values (4) 21
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 356
60.9%
ASCII 229
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
77
33.6%
) 26
 
11.4%
( 26
 
11.4%
1 14
 
6.1%
2 14
 
6.1%
6 12
 
5.2%
3 12
 
5.2%
5 10
 
4.4%
8 9
 
3.9%
4 8
 
3.5%
Other values (4) 21
 
9.2%
Hangul
ValueCountFrequency (%)
동 57
16.0%
구 53
14.9%
대 31
 
8.7%
광 26
 
7.3%
역 26
 
7.3%
시 26
 
7.3%
로 25
 
7.0%
길 12
 
3.4%
산 5
 
1.4%
효 5
 
1.4%
Other values (36) 90
25.3%

전화번호
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size336.0 B
2024-04-21T19:41:41.983879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters312
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

Unique26 ?
Unique (%)100.0%

Sample

1st row053-959-1155
2nd row053-984-6755
3rd row053-982-0103
4th row053-751-6850
5th row053-981-5883
ValueCountFrequency (%)
053-959-1155 1
 
3.8%
053-984-6755 1
 
3.8%
053-986-5900 1
 
3.8%
053-985-8052 1
 
3.8%
053-756-3387 1
 
3.8%
053-981-5090 1
 
3.8%
053-981-6001 1
 
3.8%
053-983-9066 1
 
3.8%
053-422-4800 1
 
3.8%
053-981-8200 1
 
3.8%
Other values (16) 16
61.5%
2024-04-21T19:41:43.083799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 52
16.7%
- 52
16.7%
5 47
15.1%
3 36
11.5%
8 31
9.9%
9 28
9.0%
1 20
 
6.4%
6 13
 
4.2%
7 13
 
4.2%
2 12
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 260
83.3%
Dash Punctuation 52
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 52
20.0%
5 47
18.1%
3 36
13.8%
8 31
11.9%
9 28
10.8%
1 20
 
7.7%
6 13
 
5.0%
7 13
 
5.0%
2 12
 
4.6%
4 8
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 312
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 52
16.7%
- 52
16.7%
5 47
15.1%
3 36
11.5%
8 31
9.9%
9 28
9.0%
1 20
 
6.4%
6 13
 
4.2%
7 13
 
4.2%
2 12
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 312
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 52
16.7%
- 52
16.7%
5 47
15.1%
3 36
11.5%
8 31
9.9%
9 28
9.0%
1 20
 
6.4%
6 13
 
4.2%
7 13
 
4.2%
2 12
 
3.8%

주메뉴
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size336.0 B
2024-04-21T19:41:43.873750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12.5
Mean length8.0769231
Min length3

Characters and Unicode

Total characters210
Distinct characters102
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row초당순두부, 황태구이
2nd row복어찜,탕
3rd row자연산송이전골,송이돌솥밥
4th row칼국수
5th row차밭골 정식
ValueCountFrequency (%)
초당순두부 1
 
2.8%
황태구이 1
 
2.8%
해물크림파스타,목살스테이크 1
 
2.8%
칼국수,돼지수육 1
 
2.8%
생오리구이 1
 
2.8%
연근정식 1
 
2.8%
양념돼지갈비 1
 
2.8%
능이버섯 1
 
2.8%
돌솥밥 1
 
2.8%
한방편육,메밀면 1
 
2.8%
Other values (26) 26
72.2%
2024-04-21T19:41:45.093591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 14
 
6.7%
10
 
4.8%
이 9
 
4.3%
밥 5
 
2.4%
정 5
 
2.4%
연 4
 
1.9%
국 4
 
1.9%
어 4
 
1.9%
식 4
 
1.9%
구 4
 
1.9%
Other values (92) 147
70.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 185
88.1%
Other Punctuation 15
 
7.1%
Space Separator 10
 
4.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 9
 
4.9%
밥 5
 
2.7%
정 5
 
2.7%
연 4
 
2.2%
국 4
 
2.2%
어 4
 
2.2%
식 4
 
2.2%
구 4
 
2.2%
장 4
 
2.2%
살 4
 
2.2%
Other values (89) 138
74.6%
Other Punctuation
ValueCountFrequency (%)
, 14
93.3%
/ 1
 
6.7%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 184
87.6%
Common 25
 
11.9%
Han 1
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 9
 
4.9%
밥 5
 
2.7%
정 5
 
2.7%
연 4
 
2.2%
국 4
 
2.2%
어 4
 
2.2%
식 4
 
2.2%
구 4
 
2.2%
장 4
 
2.2%
살 4
 
2.2%
Other values (88) 137
74.5%
Common
ValueCountFrequency (%)
, 14
56.0%
10
40.0%
/ 1
 
4.0%
Han
ValueCountFrequency (%)
辛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 184
87.6%
ASCII 25
 
11.9%
CJK 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 14
56.0%
10
40.0%
/ 1
 
4.0%
Hangul
ValueCountFrequency (%)
이 9
 
4.9%
밥 5
 
2.7%
정 5
 
2.7%
연 4
 
2.2%
국 4
 
2.2%
어 4
 
2.2%
식 4
 
2.2%
구 4
 
2.2%
장 4
 
2.2%
살 4
 
2.2%
Other values (88) 137
74.5%
CJK
ValueCountFrequency (%)
辛 1
100.0%

Interactions

2024-04-21T19:41:36.050646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T19:41:45.351861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명주소전화번호주메뉴
연번1.0001.0000.8651.0001.000
업소명1.0001.0001.0001.0001.000
주소0.8651.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000
주메뉴1.0001.0001.0001.0001.000

Missing values

2024-04-21T19:41:36.367151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T19:41:36.673443image/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
01강릉원조초당순두부대구광역시 동구 효동로6길 37(효목동)053-959-1155초당순두부, 황태구이
12거송복어식당대구광역시 동구 동촌로 263(방촌동)053-984-6755복어찜,탕
23고려가든대구광역시 동구 팔공산로185길 60(용수동)053-982-0103자연산송이전골,송이돌솥밥
34고향집칼국수.재바우대구광역시 동구 송라로 93(신천동)053-751-6850칼국수
45고향차밭골대구광역시 동구 파계로138길 12(중대동)053-981-5883차밭골 정식
56더기네장어대구광역시 동구 팔공산로2길 88(덕곡동)053-982-2537장어숯불구이, 곤드레장어탕
67만수정대구광역시 동구 단산길 7-13(봉무동)053-985-1814장어탕
78명산가대구광역시 동구 공항로 140(불로동)053-984-3550곤드레/연잎밥정식, 섬나물비빔밥
89미소명가미역대구광역시 동구 효동로6길 47-5(효목동)053-956-9657가자미미여국, 꼬막정찬
910백림정대구광역시 동구 도평로 249(도동)053-986-0032옻닭,옻오리
연번업소명주소전화번호주메뉴
1617쌍쌍오리한마당대구광역시 동구 화랑로88길 76(방촌동)053-983-6689생오리구이
1718연뜨락대구광역시 동구 갓바위로 57(진인동)053-981-8200연근정식
1819재바우참숯불대구광역시 동구 송라로 93(신천동)053-422-4800양념돼지갈비
1920진선재토속음식전문대구광역시 동구 갓바위로 255-10(진인동)053-983-9066능이버섯 돌솥밥
2021천서리원조메밀면대구광역시 동구 갓바위로 243-3(진인동)053-981-6001한방편육,메밀면
2122청석돌식당대구광역시 동구 둔산로 6-1(방촌동)053-981-5090생삼겹살구이
2223청정한우숯불대구광역시 동구 동대구로 442-1(신천동)053-756-3387한우명품꽃살, 한우 안창살
2324해아래숲대구광역시 동구 파계로138길 26(중대동)053-985-8052백숙, 냉면
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2526황토시골집대구광역시 동구 파계로 604(중대동)053-982-1001닭백숙