Overview

Dataset statistics

Number of variables4
Number of observations123
Missing cells14
Missing cells (%)2.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory34.0 B

Variable types

Numeric1
Text3

Dataset

Description대구광역시 서구 관내 노래연습장 영업에 대한 데이터로 상호명, 영업소도로명소재지, 영업소전화번호 항목을 제공합니다.
Author대구광역시 서구
URLhttps://www.data.go.kr/data/3054444/fileData.do

Alerts

소재지 전화 has 14 (11.4%) missing valuesMissing
연번 has unique valuesUnique
영업소 주소(도로명) has unique valuesUnique

Reproduction

Analysis started2024-03-14 18:19:23.660883
Analysis finished2024-03-14 18:19:24.606624
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct123
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62
Minimum1
Maximum123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-15T03:19:24.901201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.1
Q131.5
median62
Q392.5
95-th percentile116.9
Maximum123
Range122
Interquartile range (IQR)61

Descriptive statistics

Standard deviation35.651087
Coefficient of variation (CV)0.57501753
Kurtosis-1.2
Mean62
Median Absolute Deviation (MAD)31
Skewness0
Sum7626
Variance1271
MonotonicityStrictly increasing
2024-03-15T03:19:25.467438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
79 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
85 1
 
0.8%
Other values (113) 113
91.9%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
123 1
0.8%
122 1
0.8%
121 1
0.8%
120 1
0.8%
119 1
0.8%
118 1
0.8%
117 1
0.8%
116 1
0.8%
115 1
0.8%
114 1
0.8%

업소명
Text

Distinct114
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-15T03:19:26.425073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length7.6910569
Min length6

Characters and Unicode

Total characters946
Distinct characters173
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)87.0%

Sample

1st row쇼노래연습장
2nd row팡팡노래연습장
3rd row청산노래연습장
4th row그래미노래연습장
5th row앙코르노래연습장
ValueCountFrequency (%)
노래연습장 10
 
7.2%
황제노래연습장 3
 
2.2%
신바람노래연습장 3
 
2.2%
쿨노래연습장 2
 
1.4%
풀노래연습장 2
 
1.4%
올레노래연습장 2
 
1.4%
선영이노래연습장 2
 
1.4%
센스노래연습장 2
 
1.4%
동전 2
 
1.4%
쟁반노래연습장 1
 
0.7%
Other values (109) 109
79.0%
2024-03-15T03:19:28.031423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
노 125
13.2%
연 125
13.2%
래 124
13.1%
장 124
13.1%
습 123
13.0%
15
 
1.6%
이 10
 
1.1%
동 9
 
1.0%
스 7
 
0.7%
통 6
 
0.6%
Other values (163) 278
29.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 925
97.8%
Space Separator 15
 
1.6%
Decimal Number 5
 
0.5%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
노 125
13.5%
연 125
13.5%
래 124
13.4%
장 124
13.4%
습 123
13.3%
이 10
 
1.1%
동 9
 
1.0%
스 7
 
0.8%
통 6
 
0.6%
트 6
 
0.6%
Other values (158) 266
28.8%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
8 2
40.0%
7 1
20.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Uppercase Letter
ValueCountFrequency (%)
K 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 925
97.8%
Common 20
 
2.1%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
노 125
13.5%
연 125
13.5%
래 124
13.4%
장 124
13.4%
습 123
13.3%
이 10
 
1.1%
동 9
 
1.0%
스 7
 
0.8%
통 6
 
0.6%
트 6
 
0.6%
Other values (158) 266
28.8%
Common
ValueCountFrequency (%)
15
75.0%
2 2
 
10.0%
8 2
 
10.0%
7 1
 
5.0%
Latin
ValueCountFrequency (%)
K 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 925
97.8%
ASCII 21
 
2.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
노 125
13.5%
연 125
13.5%
래 124
13.4%
장 124
13.4%
습 123
13.3%
이 10
 
1.1%
동 9
 
1.0%
스 7
 
0.8%
통 6
 
0.6%
트 6
 
0.6%
Other values (158) 266
28.8%
ASCII
ValueCountFrequency (%)
15
71.4%
2 2
 
9.5%
8 2
 
9.5%
7 1
 
4.8%
K 1
 
4.8%

영업소 주소(도로명)
Text

UNIQUE 

Distinct123
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-15T03:19:29.730624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length32
Mean length28.853659
Min length21

Characters and Unicode

Total characters3549
Distinct characters58
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

Unique123 ?
Unique (%)100.0%

Sample

1st row대구광역시 서구 달구벌대로375길 28-1, 2층 (내당동)
2nd row대구광역시 서구 당산로 241, 지하1층 (내당동)
3rd row대구광역시 서구 북비산로 255-1, 지하1층 (평리동)
4th row대구광역시 서구 당산로 275, 지하1층 (내당동)
5th row대구광역시 서구 달서로 158, 3층 (비산동)
ValueCountFrequency (%)
대구광역시 123
17.0%
서구 123
17.0%
지하1층 63
 
8.7%
평리동 49
 
6.8%
비산동 42
 
5.8%
내당동 26
 
3.6%
서대구로 18
 
2.5%
2층 14
 
1.9%
달서로 12
 
1.7%
국채보상로 11
 
1.5%
Other values (161) 241
33.4%
2024-03-15T03:19:31.904726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
599
 
16.9%
구 284
 
8.0%
서 174
 
4.9%
1 168
 
4.7%
대 162
 
4.6%
광 123
 
3.5%
역 123
 
3.5%
시 123
 
3.5%
로 123
 
3.5%
( 123
 
3.5%
Other values (48) 1547
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1967
55.4%
Space Separator 599
 
16.9%
Decimal Number 591
 
16.7%
Open Punctuation 123
 
3.5%
Close Punctuation 123
 
3.5%
Other Punctuation 105
 
3.0%
Dash Punctuation 37
 
1.0%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 284
14.4%
서 174
 
8.8%
대 162
 
8.2%
광 123
 
6.3%
역 123
 
6.3%
시 123
 
6.3%
로 123
 
6.3%
동 123
 
6.3%
층 88
 
4.5%
지 67
 
3.4%
Other values (30) 577
29.3%
Decimal Number
ValueCountFrequency (%)
1 168
28.4%
2 86
14.6%
3 76
12.9%
5 44
 
7.4%
6 42
 
7.1%
7 41
 
6.9%
4 41
 
6.9%
8 33
 
5.6%
0 32
 
5.4%
9 28
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
O 2
50.0%
F 1
25.0%
D 1
25.0%
Space Separator
ValueCountFrequency (%)
599
100.0%
Open Punctuation
ValueCountFrequency (%)
( 123
100.0%
Close Punctuation
ValueCountFrequency (%)
) 123
100.0%
Other Punctuation
ValueCountFrequency (%)
, 105
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1967
55.4%
Common 1578
44.5%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 284
14.4%
서 174
 
8.8%
대 162
 
8.2%
광 123
 
6.3%
역 123
 
6.3%
시 123
 
6.3%
로 123
 
6.3%
동 123
 
6.3%
층 88
 
4.5%
지 67
 
3.4%
Other values (30) 577
29.3%
Common
ValueCountFrequency (%)
599
38.0%
1 168
 
10.6%
( 123
 
7.8%
) 123
 
7.8%
, 105
 
6.7%
2 86
 
5.4%
3 76
 
4.8%
5 44
 
2.8%
6 42
 
2.7%
7 41
 
2.6%
Other values (5) 171
 
10.8%
Latin
ValueCountFrequency (%)
O 2
50.0%
F 1
25.0%
D 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1967
55.4%
ASCII 1582
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
599
37.9%
1 168
 
10.6%
( 123
 
7.8%
) 123
 
7.8%
, 105
 
6.6%
2 86
 
5.4%
3 76
 
4.8%
5 44
 
2.8%
6 42
 
2.7%
7 41
 
2.6%
Other values (8) 175
 
11.1%
Hangul
ValueCountFrequency (%)
구 284
14.4%
서 174
 
8.8%
대 162
 
8.2%
광 123
 
6.3%
역 123
 
6.3%
시 123
 
6.3%
로 123
 
6.3%
동 123
 
6.3%
층 88
 
4.5%
지 67
 
3.4%
Other values (30) 577
29.3%

소재지 전화
Text

MISSING 

Distinct108
Distinct (%)99.1%
Missing14
Missing (%)11.4%
Memory size1.1 KiB
2024-03-15T03:19:32.816851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1308
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

Unique107 ?
Unique (%)98.2%

Sample

1st row053-554-6720
2nd row053-591-3067
3rd row053-555-4222
4th row053-551-0826
5th row053-556-6240
ValueCountFrequency (%)
053-358-7353 2
 
1.8%
053-352-5736 1
 
0.9%
053-554-6720 1
 
0.9%
053-571-0111 1
 
0.9%
053-247-7557 1
 
0.9%
053-354-9303 1
 
0.9%
053-566-8388 1
 
0.9%
053-559-2888 1
 
0.9%
053-567-7613 1
 
0.9%
053-564-1840 1
 
0.9%
Other values (98) 98
89.9%
2024-03-15T03:19:33.911563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 290
22.2%
- 218
16.7%
3 195
14.9%
0 168
12.8%
6 97
 
7.4%
2 71
 
5.4%
7 69
 
5.3%
1 66
 
5.0%
8 53
 
4.1%
4 42
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1090
83.3%
Dash Punctuation 218
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 290
26.6%
3 195
17.9%
0 168
15.4%
6 97
 
8.9%
2 71
 
6.5%
7 69
 
6.3%
1 66
 
6.1%
8 53
 
4.9%
4 42
 
3.9%
9 39
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 218
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1308
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 290
22.2%
- 218
16.7%
3 195
14.9%
0 168
12.8%
6 97
 
7.4%
2 71
 
5.4%
7 69
 
5.3%
1 66
 
5.0%
8 53
 
4.1%
4 42
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1308
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 290
22.2%
- 218
16.7%
3 195
14.9%
0 168
12.8%
6 97
 
7.4%
2 71
 
5.4%
7 69
 
5.3%
1 66
 
5.0%
8 53
 
4.1%
4 42
 
3.2%

Interactions

2024-03-15T03:19:23.873929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-15T03:19:24.205813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T03:19:24.493387image/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

연번업소명영업소 주소(도로명)소재지 전화
01쇼노래연습장대구광역시 서구 달구벌대로375길 28-1, 2층 (내당동)053-554-6720
12팡팡노래연습장대구광역시 서구 당산로 241, 지하1층 (내당동)053-591-3067
23청산노래연습장대구광역시 서구 북비산로 255-1, 지하1층 (평리동)053-555-4222
34그래미노래연습장대구광역시 서구 당산로 275, 지하1층 (내당동)053-551-0826
45앙코르노래연습장대구광역시 서구 달서로 158, 3층 (비산동)053-556-6240
56쌍쌍노래연습장대구광역시 서구 달서로 34, 지하1층 (내당동)053-573-2091
67황제노래연습장대구광역시 서구 평리로 420, 지하1층 (내당동)053-572-2391
78환희노래연습장대구광역시 서구 달서로25길 3 (비산동)053-552-7890
89꾀꼬리노래연습장대구광역시 서구 달서로 88, 지상2층 (비산동)053-571-8610
910아리랑노래연습장대구광역시 서구 서대구로62길 85-1 (비산동)053-354-7381
연번업소명영업소 주소(도로명)소재지 전화
113114올레노래연습장대구광역시 서구 달구벌대로375길 18, 지하1층 (내당동)053-557-2929
114115베트남 뮤직 노래연습장대구광역시 서구 서대구로 316, 지하1층 (비산동)<NA>
115116통통동전노래연습장대구광역시 서구 국채보상로 308 (평리동, 1097-3)053-621-8987
116117씽씽쏭쏭 동전 노래연습장대구광역시 서구 달서로12길 5 (비산동, 286-10)<NA>
117118일통이통동전 노래연습장대구광역시 서구 서대구로 192 (평리동, 1032-9)053-523-8988
118119일통이통 7호광장점 동전 노래연습장대구광역시 서구 달구벌대로 1709 (내당동, 465-1)053-568-8988
119120텐텐동전노래연습장대구광역시 서구 평리로 271 (중리동, 2층)<NA>
120121코인의행복 노래연습장대구광역시 서구 달서로 19 (내당동)<NA>
121122아시아노래연습장대구광역시 서구 서대구로 306 (비산동)<NA>
122123동동 동전노래연습장대구광역시 서구 통학로39길 34, 3층 (평리동)<NA>