Overview

Dataset statistics

Number of variables5
Number of observations111
Missing cells14
Missing cells (%)2.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory42.2 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description대구지역 관광식당업 현황정보임(업체명, 소재지, 전화번호)일부 업체의 연락처는 개인정보(휴대전화)가 포함되어 제공되지 않음을 양해바랍니다.
Author대구광역시
URLhttps://www.data.go.kr/data/15054192/fileData.do

Alerts

연번 is highly overall correlated with 구군High correlation
구군 is highly overall correlated with 연번High correlation
전화번호 has 14 (12.6%) missing valuesMissing
연번 has unique valuesUnique
업체명 has unique valuesUnique

Reproduction

Analysis started2024-04-29 22:33:43.376832
Analysis finished2024-04-29 22:33:45.144934
Duration1.77 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct111
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56
Minimum1
Maximum111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-30T07:33:45.220618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.5
Q128.5
median56
Q383.5
95-th percentile105.5
Maximum111
Range110
Interquartile range (IQR)55

Descriptive statistics

Standard deviation32.186954
Coefficient of variation (CV)0.57476703
Kurtosis-1.2
Mean56
Median Absolute Deviation (MAD)28
Skewness0
Sum6216
Variance1036
MonotonicityStrictly increasing
2024-04-30T07:33:45.413707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
2 1
 
0.9%
83 1
 
0.9%
82 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
Other values (101) 101
91.0%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
111 1
0.9%
110 1
0.9%
109 1
0.9%
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%

구군
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size1020.0 B
수성구
44 
달서구
18 
동구
17 
중구
14 
달성군
10 
Other values (3)
8 

Length

Max length3
Median length3
Mean length2.6486486
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row중구
2nd row중구
3rd row중구
4th row중구
5th row중구

Common Values

ValueCountFrequency (%)
수성구 44
39.6%
달서구 18
16.2%
동구 17
 
15.3%
중구 14
 
12.6%
달성군 10
 
9.0%
북구 5
 
4.5%
서구 2
 
1.8%
남구 1
 
0.9%

Length

2024-04-30T07:33:45.549693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:33:45.660336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수성구 44
39.6%
달서구 18
16.2%
동구 17
 
15.3%
중구 14
 
12.6%
달성군 10
 
9.0%
북구 5
 
4.5%
서구 2
 
1.8%
남구 1
 
0.9%

업체명
Text

UNIQUE 

Distinct111
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2024-04-30T07:33:45.931104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length5.3603604
Min length1

Characters and Unicode

Total characters595
Distinct characters238
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique111 ?
Unique (%)100.0%

Sample

1st row국일따로국밥
2nd row타라(TARA)
3rd row벙글벙글찜갈비
4th row나자르케밥
5th row바라지레스토랑
ValueCountFrequency (%)
회성각 2
 
1.5%
뉴살라딘 2
 
1.5%
범어점 1
 
0.8%
에스엠싱싱뽈락회 1
 
0.8%
중동직영점 1
 
0.8%
풍국면 1
 
0.8%
시지점 1
 
0.8%
㈜포시즌스 1
 
0.8%
국일따로국밥 1
 
0.8%
본점 1
 
0.8%
Other values (120) 120
90.9%
2024-04-30T07:33:46.345303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 23
 
3.9%
22
 
3.7%
수 11
 
1.8%
성 10
 
1.7%
라 9
 
1.5%
리 9
 
1.5%
식 9
 
1.5%
동 9
 
1.5%
스 9
 
1.5%
어 8
 
1.3%
Other values (228) 476
80.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 553
92.9%
Space Separator 22
 
3.7%
Open Punctuation 5
 
0.8%
Close Punctuation 5
 
0.8%
Uppercase Letter 4
 
0.7%
Other Symbol 3
 
0.5%
Decimal Number 2
 
0.3%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 23
 
4.2%
수 11
 
2.0%
성 10
 
1.8%
라 9
 
1.6%
리 9
 
1.6%
식 9
 
1.6%
동 9
 
1.6%
스 9
 
1.6%
어 8
 
1.4%
국 8
 
1.4%
Other values (218) 448
81.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
50.0%
R 1
25.0%
T 1
25.0%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
3 1
50.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 556
93.4%
Common 35
 
5.9%
Latin 4
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 23
 
4.1%
수 11
 
2.0%
성 10
 
1.8%
라 9
 
1.6%
리 9
 
1.6%
식 9
 
1.6%
동 9
 
1.6%
스 9
 
1.6%
어 8
 
1.4%
국 8
 
1.4%
Other values (219) 451
81.1%
Common
ValueCountFrequency (%)
22
62.9%
( 5
 
14.3%
) 5
 
14.3%
2 1
 
2.9%
, 1
 
2.9%
3 1
 
2.9%
Latin
ValueCountFrequency (%)
A 2
50.0%
R 1
25.0%
T 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 553
92.9%
ASCII 39
 
6.6%
None 3
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 23
 
4.2%
수 11
 
2.0%
성 10
 
1.8%
라 9
 
1.6%
리 9
 
1.6%
식 9
 
1.6%
동 9
 
1.6%
스 9
 
1.6%
어 8
 
1.4%
국 8
 
1.4%
Other values (218) 448
81.0%
ASCII
ValueCountFrequency (%)
22
56.4%
( 5
 
12.8%
) 5
 
12.8%
A 2
 
5.1%
2 1
 
2.6%
, 1
 
2.6%
R 1
 
2.6%
T 1
 
2.6%
3 1
 
2.6%
None
ValueCountFrequency (%)
㈜ 3
100.0%

소재지
Text

Distinct109
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2024-04-30T07:33:46.718040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length19.963964
Min length15

Characters and Unicode

Total characters2216
Distinct characters113
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

Unique108 ?
Unique (%)97.3%

Sample

1st row대구광역시 중구 국채보상로 571
2nd row대구광역시 중구 달구벌대로 2109-25
3rd row대구광역시 중구 동덕로 36길 9-12
4th row대구광역시 중구 동성로 3길 59-19, 1층3호
5th row대구광역시 중구 동성로 73, 2F
ValueCountFrequency (%)
대구광역시 111
22.4%
수성구 44
 
8.9%
달서구 18
 
3.6%
동구 17
 
3.4%
중구 14
 
2.8%
달성군 10
 
2.0%
용학로 8
 
1.6%
1층 8
 
1.6%
국채보상로 7
 
1.4%
달구벌대로 6
 
1.2%
Other values (201) 253
51.0%
2024-04-30T07:33:47.218251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
385
17.4%
구 226
 
10.2%
대 132
 
6.0%
광 111
 
5.0%
역 111
 
5.0%
시 111
 
5.0%
1 102
 
4.6%
로 91
 
4.1%
성 71
 
3.2%
2 67
 
3.0%
Other values (103) 809
36.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1360
61.4%
Decimal Number 413
 
18.6%
Space Separator 385
 
17.4%
Dash Punctuation 34
 
1.5%
Other Punctuation 15
 
0.7%
Open Punctuation 3
 
0.1%
Uppercase Letter 3
 
0.1%
Close Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 226
16.6%
대 132
 
9.7%
광 111
 
8.2%
역 111
 
8.2%
시 111
 
8.2%
로 91
 
6.7%
성 71
 
5.2%
수 57
 
4.2%
길 44
 
3.2%
동 40
 
2.9%
Other values (87) 366
26.9%
Decimal Number
ValueCountFrequency (%)
1 102
24.7%
2 67
16.2%
3 43
10.4%
4 33
 
8.0%
7 31
 
7.5%
5 29
 
7.0%
9 29
 
7.0%
6 28
 
6.8%
0 27
 
6.5%
8 24
 
5.8%
Space Separator
ValueCountFrequency (%)
385
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
F 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1360
61.4%
Common 853
38.5%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 226
16.6%
대 132
 
9.7%
광 111
 
8.2%
역 111
 
8.2%
시 111
 
8.2%
로 91
 
6.7%
성 71
 
5.2%
수 57
 
4.2%
길 44
 
3.2%
동 40
 
2.9%
Other values (87) 366
26.9%
Common
ValueCountFrequency (%)
385
45.1%
1 102
 
12.0%
2 67
 
7.9%
3 43
 
5.0%
- 34
 
4.0%
4 33
 
3.9%
7 31
 
3.6%
5 29
 
3.4%
9 29
 
3.4%
6 28
 
3.3%
Other values (5) 72
 
8.4%
Latin
ValueCountFrequency (%)
F 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1360
61.4%
ASCII 856
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
385
45.0%
1 102
 
11.9%
2 67
 
7.8%
3 43
 
5.0%
- 34
 
4.0%
4 33
 
3.9%
7 31
 
3.6%
5 29
 
3.4%
9 29
 
3.4%
6 28
 
3.3%
Other values (6) 75
 
8.8%
Hangul
ValueCountFrequency (%)
구 226
16.6%
대 132
 
9.7%
광 111
 
8.2%
역 111
 
8.2%
시 111
 
8.2%
로 91
 
6.7%
성 71
 
5.2%
수 57
 
4.2%
길 44
 
3.2%
동 40
 
2.9%
Other values (87) 366
26.9%

전화번호
Text

MISSING 

Distinct94
Distinct (%)96.9%
Missing14
Missing (%)12.6%
Memory size1020.0 B
2024-04-30T07:33:47.471200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.185567
Min length12

Characters and Unicode

Total characters1182
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

Unique91 ?
Unique (%)93.8%

Sample

1st row053-253-7623
2nd row070-8977-8057
3rd row053-424-6881
4th row053-424-9951
5th row053-425-3242
ValueCountFrequency (%)
053-554-8080 2
 
2.1%
0507-1344-6144 2
 
2.1%
053-793-2000 2
 
2.1%
070-8849-4013 1
 
1.0%
053-744-7400 1
 
1.0%
053-766-0009 1
 
1.0%
053-744-5633 1
 
1.0%
0507-1335-7880 1
 
1.0%
0507-1375-6677 1
 
1.0%
053-783-8777 1
 
1.0%
Other values (84) 84
86.6%
2024-04-30T07:33:47.865174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 200
16.9%
- 194
16.4%
5 177
15.0%
3 148
12.5%
7 83
7.0%
4 72
 
6.1%
6 69
 
5.8%
8 67
 
5.7%
2 66
 
5.6%
9 55
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 988
83.6%
Dash Punctuation 194
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 200
20.2%
5 177
17.9%
3 148
15.0%
7 83
8.4%
4 72
 
7.3%
6 69
 
7.0%
8 67
 
6.8%
2 66
 
6.7%
9 55
 
5.6%
1 51
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 194
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1182
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 200
16.9%
- 194
16.4%
5 177
15.0%
3 148
12.5%
7 83
7.0%
4 72
 
6.1%
6 69
 
5.8%
8 67
 
5.7%
2 66
 
5.6%
9 55
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1182
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 200
16.9%
- 194
16.4%
5 177
15.0%
3 148
12.5%
7 83
7.0%
4 72
 
6.1%
6 69
 
5.8%
8 67
 
5.7%
2 66
 
5.6%
9 55
 
4.7%

Interactions

2024-04-30T07:33:44.839440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-30T07:33:47.958636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구군전화번호
연번1.0000.8960.983
구군0.8961.0000.975
전화번호0.9830.9751.000
2024-04-30T07:33:48.044600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구군
연번1.0000.720
구군0.7201.000

Missing values

2024-04-30T07:33:45.008679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T07:33:45.103199image/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

연번구군업체명소재지전화번호
01중구국일따로국밥대구광역시 중구 국채보상로 571053-253-7623
12중구타라(TARA)대구광역시 중구 달구벌대로 2109-25070-8977-8057
23중구벙글벙글찜갈비대구광역시 중구 동덕로 36길 9-12053-424-6881
34중구나자르케밥대구광역시 중구 동성로 3길 59-19, 1층3호053-424-9951
45중구바라지레스토랑대구광역시 중구 동성로 73, 2F053-425-3242
56중구중화반점대구광역시 중구 중앙대로 406-12053-425-6839
67중구해금강 근대골목직영점대구광역시 중구 국채보상로 567-1053-426-0077
78중구칭베이훠궈양꼬치대구광역시 중구 중앙대로 391053-425-7300
89중구뉴살라딘 동성로점대구광역시 중구 동성로3길 67, 지하1층053-424-9259
910중구힛또대구광역시 중구 명덕로 333053-256-6868
연번구군업체명소재지전화번호
101102달성군큰나무집궁중약백숙대구광역시 달성군 가창면 우록길 24053-793-2000
102103달성군정강희두부마을대구광역시 달성군 다사읍 죽곡2길 2-6053-592-4900
103104달성군일월정대구광역시 달성군 논공읍 북리 1-103053-615-0558
104105달성군만파식적대구광역시 달성군 다사읍 강정길 13(1층)053-592-6060
105106달성군시즐하우스대구광역시 달성군 논공읍 논공로5길 163053-616-0082
106107달성군까사드테하대구광역시 달성군 가창면 녹문길 16-110507-1344-6144
107108달성군팔수식당대구광역시 달성군 가창면 가창로 176길 21053-743-3542
108109달성군큰나무집밥대구광역시 달성군 가창면 녹문길 31053-793-2000
109110달성군명품집밥한정식대구광역시 달성군 세천로 6실 10<NA>
110111달성군박곡칼국수대구광역시 달성군 다사읍 다사로 529-7053-588-2467