Overview

Dataset statistics

Number of variables4
Number of observations167
Missing cells63
Missing cells (%)9.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 KiB
Average record size in memory33.8 B

Variable types

Numeric1
Text3

Dataset

Description부산광역시 북구 관내에 존재하는 노래연습장 등록현황 데이터로 상호명, 소재지도로명주소, 전화번호 등의 항목을 제공하고 있습니다.
URLhttps://www.data.go.kr/data/3069194/fileData.do

Alerts

전화번호 has 60 (35.9%) missing valuesMissing

Reproduction

Analysis started2023-12-11 22:58:57.698887
Analysis finished2023-12-11 22:58:58.351518
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

Distinct166
Distinct (%)100.0%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean83.5
Minimum1
Maximum166
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T07:58:58.426108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.25
Q142.25
median83.5
Q3124.75
95-th percentile157.75
Maximum166
Range165
Interquartile range (IQR)82.5

Descriptive statistics

Standard deviation48.064193
Coefficient of variation (CV)0.57561908
Kurtosis-1.2
Mean83.5
Median Absolute Deviation (MAD)41.5
Skewness0
Sum13861
Variance2310.1667
MonotonicityStrictly increasing
2023-12-12T07:58:58.573522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
106 1
 
0.6%
108 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
Other values (156) 156
93.4%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
166 1
0.6%
165 1
0.6%
164 1
0.6%
163 1
0.6%
162 1
0.6%
161 1
0.6%
160 1
0.6%
159 1
0.6%
158 1
0.6%
157 1
0.6%

상호명
Text

Distinct157
Distinct (%)94.6%
Missing1
Missing (%)0.6%
Memory size1.4 KiB
2023-12-12T07:58:58.949399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length6.439759
Min length2

Characters and Unicode

Total characters1069
Distinct characters224
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique149 ?
Unique (%)89.8%

Sample

1st row송해 노래연습장
2nd row보거스
3rd row갈채
4th row파랑새 노래연습장
5th row국제
ValueCountFrequency (%)
노래연습장 84
31.7%
동전노래연습장 6
 
2.3%
궁전 4
 
1.5%
나이스 3
 
1.1%
팡팡 3
 
1.1%
만남 3
 
1.1%
세븐스타코인노래연습장 2
 
0.8%
특급 2
 
0.8%
싱싱 2
 
0.8%
물보라 2
 
0.8%
Other values (145) 154
58.1%
2023-12-12T07:58:59.491611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
노 103
 
9.6%
래 102
 
9.5%
장 102
 
9.5%
연 101
 
9.4%
습 101
 
9.4%
99
 
9.3%
코 14
 
1.3%
스 13
 
1.2%
전 11
 
1.0%
인 11
 
1.0%
Other values (214) 412
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 940
87.9%
Space Separator 99
 
9.3%
Uppercase Letter 18
 
1.7%
Decimal Number 9
 
0.8%
Other Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
노 103
 
11.0%
래 102
 
10.9%
장 102
 
10.9%
연 101
 
10.7%
습 101
 
10.7%
코 14
 
1.5%
스 13
 
1.4%
전 11
 
1.2%
인 11
 
1.2%
리 10
 
1.1%
Other values (194) 372
39.6%
Uppercase Letter
ValueCountFrequency (%)
O 4
22.2%
S 3
16.7%
K 2
11.1%
P 1
 
5.6%
I 1
 
5.6%
V 1
 
5.6%
X 1
 
5.6%
B 1
 
5.6%
W 1
 
5.6%
H 1
 
5.6%
Other values (2) 2
11.1%
Decimal Number
ValueCountFrequency (%)
0 4
44.4%
8 2
22.2%
7 2
22.2%
1 1
 
11.1%
Space Separator
ValueCountFrequency (%)
99
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 940
87.9%
Common 111
 
10.4%
Latin 18
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
노 103
 
11.0%
래 102
 
10.9%
장 102
 
10.9%
연 101
 
10.7%
습 101
 
10.7%
코 14
 
1.5%
스 13
 
1.4%
전 11
 
1.2%
인 11
 
1.2%
리 10
 
1.1%
Other values (194) 372
39.6%
Latin
ValueCountFrequency (%)
O 4
22.2%
S 3
16.7%
K 2
11.1%
P 1
 
5.6%
I 1
 
5.6%
V 1
 
5.6%
X 1
 
5.6%
B 1
 
5.6%
W 1
 
5.6%
H 1
 
5.6%
Other values (2) 2
11.1%
Common
ValueCountFrequency (%)
99
89.2%
0 4
 
3.6%
8 2
 
1.8%
7 2
 
1.8%
1 1
 
0.9%
& 1
 
0.9%
) 1
 
0.9%
( 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 940
87.9%
ASCII 129
 
12.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
노 103
 
11.0%
래 102
 
10.9%
장 102
 
10.9%
연 101
 
10.7%
습 101
 
10.7%
코 14
 
1.5%
스 13
 
1.4%
전 11
 
1.2%
인 11
 
1.2%
리 10
 
1.1%
Other values (194) 372
39.6%
ASCII
ValueCountFrequency (%)
99
76.7%
0 4
 
3.1%
O 4
 
3.1%
S 3
 
2.3%
K 2
 
1.6%
8 2
 
1.6%
7 2
 
1.6%
1 1
 
0.8%
P 1
 
0.8%
I 1
 
0.8%
Other values (10) 10
 
7.8%

소재지도로명주소
Text

Distinct166
Distinct (%)100.0%
Missing1
Missing (%)0.6%
Memory size1.4 KiB
2023-12-12T07:58:59.775629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length38
Mean length27.373494
Min length21

Characters and Unicode

Total characters4544
Distinct characters100
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

Unique166 ?
Unique (%)100.0%

Sample

1st row부산광역시 북구 금곡대로8번길 13 (덕천동)
2nd row부산광역시 북구 덕천1길 26 (덕천동)
3rd row부산광역시 북구 구포만세길 69, 3층 (구포동)
4th row부산광역시 북구 만덕1로10번길 11, 지하1층 (만덕동)
5th row부산광역시 북구 시랑로 173 (구포동)
ValueCountFrequency (%)
부산광역시 166
17.8%
북구 166
17.8%
구포동 58
 
6.2%
지하1층 51
 
5.5%
화명동 37
 
4.0%
덕천동 31
 
3.3%
만덕동 26
 
2.8%
시랑로 23
 
2.5%
2층 17
 
1.8%
금곡동 14
 
1.5%
Other values (197) 345
36.9%
2023-12-12T07:59:00.177376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
768
 
16.9%
구 230
 
5.1%
시 199
 
4.4%
1 186
 
4.1%
동 177
 
3.9%
북 170
 
3.7%
산 167
 
3.7%
부 166
 
3.7%
) 166
 
3.7%
( 166
 
3.7%
Other values (90) 2149
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2643
58.2%
Space Separator 768
 
16.9%
Decimal Number 692
 
15.2%
Close Punctuation 166
 
3.7%
Open Punctuation 166
 
3.7%
Other Punctuation 96
 
2.1%
Dash Punctuation 12
 
0.3%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 230
 
8.7%
시 199
 
7.5%
동 177
 
6.7%
북 170
 
6.4%
산 167
 
6.3%
부 166
 
6.3%
역 166
 
6.3%
광 166
 
6.3%
로 149
 
5.6%
덕 106
 
4.0%
Other values (74) 947
35.8%
Decimal Number
ValueCountFrequency (%)
1 186
26.9%
2 101
14.6%
3 74
 
10.7%
4 57
 
8.2%
0 55
 
7.9%
7 48
 
6.9%
6 47
 
6.8%
8 44
 
6.4%
9 41
 
5.9%
5 39
 
5.6%
Space Separator
ValueCountFrequency (%)
768
100.0%
Close Punctuation
ValueCountFrequency (%)
) 166
100.0%
Open Punctuation
ValueCountFrequency (%)
( 166
100.0%
Other Punctuation
ValueCountFrequency (%)
, 96
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2643
58.2%
Common 1900
41.8%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 230
 
8.7%
시 199
 
7.5%
동 177
 
6.7%
북 170
 
6.4%
산 167
 
6.3%
부 166
 
6.3%
역 166
 
6.3%
광 166
 
6.3%
로 149
 
5.6%
덕 106
 
4.0%
Other values (74) 947
35.8%
Common
ValueCountFrequency (%)
768
40.4%
1 186
 
9.8%
) 166
 
8.7%
( 166
 
8.7%
2 101
 
5.3%
, 96
 
5.1%
3 74
 
3.9%
4 57
 
3.0%
0 55
 
2.9%
7 48
 
2.5%
Other values (5) 183
 
9.6%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2643
58.2%
ASCII 1901
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
768
40.4%
1 186
 
9.8%
) 166
 
8.7%
( 166
 
8.7%
2 101
 
5.3%
, 96
 
5.0%
3 74
 
3.9%
4 57
 
3.0%
0 55
 
2.9%
7 48
 
2.5%
Other values (6) 184
 
9.7%
Hangul
ValueCountFrequency (%)
구 230
 
8.7%
시 199
 
7.5%
동 177
 
6.7%
북 170
 
6.4%
산 167
 
6.3%
부 166
 
6.3%
역 166
 
6.3%
광 166
 
6.3%
로 149
 
5.6%
덕 106
 
4.0%
Other values (74) 947
35.8%

전화번호
Text

MISSING 

Distinct106
Distinct (%)99.1%
Missing60
Missing (%)35.9%
Memory size1.4 KiB
2023-12-12T07:59:00.396745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1284
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

Unique105 ?
Unique (%)98.1%

Sample

1st row051-341-0021
2nd row051-335-1373
3rd row051-337-6190
4th row051-341-3999
5th row051-335-8008
ValueCountFrequency (%)
051-335-5547 2
 
1.9%
051-341-7997 1
 
0.9%
051-337-7874 1
 
0.9%
051-342-9700 1
 
0.9%
051-334-2007 1
 
0.9%
051-331-2339 1
 
0.9%
051-332-7323 1
 
0.9%
051-342-6922 1
 
0.9%
051-337-5215 1
 
0.9%
051-331-6885 1
 
0.9%
Other values (96) 96
89.7%
2023-12-12T07:59:00.689132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 240
18.7%
- 214
16.7%
1 173
13.5%
0 165
12.9%
5 158
12.3%
7 67
 
5.2%
2 64
 
5.0%
4 60
 
4.7%
8 50
 
3.9%
6 50
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1070
83.3%
Dash Punctuation 214
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 240
22.4%
1 173
16.2%
0 165
15.4%
5 158
14.8%
7 67
 
6.3%
2 64
 
6.0%
4 60
 
5.6%
8 50
 
4.7%
6 50
 
4.7%
9 43
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 214
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1284
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 240
18.7%
- 214
16.7%
1 173
13.5%
0 165
12.9%
5 158
12.3%
7 67
 
5.2%
2 64
 
5.0%
4 60
 
4.7%
8 50
 
3.9%
6 50
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1284
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 240
18.7%
- 214
16.7%
1 173
13.5%
0 165
12.9%
5 158
12.3%
7 67
 
5.2%
2 64
 
5.0%
4 60
 
4.7%
8 50
 
3.9%
6 50
 
3.9%

Interactions

2023-12-12T07:58:57.920456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T07:58:58.060514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T07:58:58.186018image/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.
2023-12-12T07:58:58.287670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번상호명소재지도로명주소전화번호
01송해 노래연습장부산광역시 북구 금곡대로8번길 13 (덕천동)051-341-0021
12보거스부산광역시 북구 덕천1길 26 (덕천동)051-335-1373
23갈채부산광역시 북구 구포만세길 69, 3층 (구포동)051-337-6190
34파랑새 노래연습장부산광역시 북구 만덕1로10번길 11, 지하1층 (만덕동)051-341-3999
45국제부산광역시 북구 시랑로 173 (구포동)051-335-8008
56도시공간부산광역시 북구 만덕2로 31 (만덕동)051-338-8111
67대성부산광역시 북구 구남언덕로 29 (구포동)051-335-2366
78별 노래연습장부산광역시 북구 만덕대로 164, 지하1층 (덕천동)051-335-2509
89소리샘부산광역시 북구 만덕2로 35 (만덕동)051-341-3434
910혜성 노래연습장부산광역시 북구 의성로 120, 지하1층 (덕천동)051-337-6731
연번상호명소재지도로명주소전화번호
157158킹 동전노래연습장부산광역시 북구 만덕2로 33, 2층 (만덕동)<NA>
158159코인뮤직 동전노래연습장부산광역시 북구 학사로17번나길 19, 2층 (화명동)<NA>
159160럭셔리 노래연습장부산광역시 북구 구남로 2, 2층 (구포동)<NA>
160161세븐스타코인노래연습장 구남역점부산광역시 북구 백양대로1015번길 7, 2층 (구포동)<NA>
161162세븐스타코인노래연습장 화명동점부산광역시 북구 금곡대로285번길 22, 월드타워 402호 (화명동)<NA>
162163코코 동전노래연습장부산광역시 북구 시랑로 72-1, 2층 (구포동)<NA>
163164심쿵 노래연습장부산광역시 북구 시랑로 90, 2층 (구포동)<NA>
164165OX 노래연습장 화명본점부산광역시 북구 금곡대로303번길 61, 새론타워 302호 (화명동)<NA>
165166오엑스 코인노래연습장 금곡점부산광역시 북구 금곡대로638번길 9-7, 라현빌딩 5층 (금곡동)<NA>
166<NA><NA><NA><NA>